From ef3c74633cb714469237be4c45832548c4bdf3b2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Wed, 15 May 2024 11:28:09 +0200
Subject: [PATCH 01/21] Conditional Entropy test

---
 tests/TestBayesMetrics.cc | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/tests/TestBayesMetrics.cc b/tests/TestBayesMetrics.cc
index b7d5c76..96fddd9 100644
--- a/tests/TestBayesMetrics.cc
+++ b/tests/TestBayesMetrics.cc
@@ -100,6 +100,25 @@ TEST_CASE("Entropy Test", "[Metrics]")
     REQUIRE(result == Catch::Approx(0.693147180559945).epsilon(raw.epsilon));
 }
 TEST_CASE("Conditional Entropy", "[Metrics]")
+{
+    auto raw = RawDatasets("iris", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    auto expected = std::map<std::pair<int, int>, double>{
+        { { 0, 1 }, 1.32674 },
+        { { 0, 2 }, 0.236253 },
+        { { 0, 3 }, 0.1202 },
+        { { 1, 2 }, 0.252551 },
+        { { 1, 3 }, 0.10515 },
+        { { 2, 3 }, 0.108323 },
+    };
+    for (int i = 0; i < raw.features.size() - 1; ++i) {
+        for (int j = i + 1; j < raw.features.size(); ++j) {
+            double result = metrics.conditionalEntropy(raw.dataset.index({ i, "..." }), raw.dataset.index({ j, "..." }), raw.yt, raw.weights);
+            REQUIRE(result == Catch::Approx(expected.at({ i, j })).epsilon(raw.epsilon));
+        }
+    }
+}
+TEST_CASE("Conditional Mutual Information", "[Metrics]")
 {
     auto raw = RawDatasets("iris", true);
     bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);

From 1f236a70db9d6d6938ebea821727dc22dba586f2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Wed, 15 May 2024 11:53:17 +0200
Subject: [PATCH 02/21] Create BoostA2DE base class

---
 bayesnet/ensembles/BoostA2DE.cc |  89 ++++++++++++++
 bayesnet/ensembles/BoostA2DE.h  |  38 ++++++
 bayesnet/ensembles/BoostAODE.h  |  11 +-
 bayesnet/ensembles/boost.h      |  13 ++
 docs/BoostAODE.md               |   2 +-
 tests/CMakeLists.txt            |   3 +-
 tests/TestBoostA2DE.cc          | 212 ++++++++++++++++++++++++++++++++
 7 files changed, 356 insertions(+), 12 deletions(-)
 create mode 100644 bayesnet/ensembles/BoostA2DE.cc
 create mode 100644 bayesnet/ensembles/BoostA2DE.h
 create mode 100644 bayesnet/ensembles/boost.h
 create mode 100644 tests/TestBoostA2DE.cc

diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
new file mode 100644
index 0000000..aadb4c6
--- /dev/null
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -0,0 +1,89 @@
+// ***************************************************************
+// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
+// SPDX-FileType: SOURCE
+// SPDX-License-Identifier: MIT
+// ***************************************************************
+
+#include <set>
+#include <functional>
+#include <limits.h>
+#include <tuple>
+#include <folding.hpp>
+#include "bayesnet/feature_selection/CFS.h"
+#include "bayesnet/feature_selection/FCBF.h"
+#include "bayesnet/feature_selection/IWSS.h"
+#include "BoostA2DE.h"
+
+namespace bayesnet {
+
+    BoostA2DE::BoostA2DE(bool predict_voting) : Ensemble(predict_voting)
+    {
+        validHyperparameters = {
+            "maxModels", "bisection", "order", "convergence", "convergence_best", "threshold",
+            "select_features", "maxTolerance", "predict_voting", "block_update"
+        };
+
+    }
+    void BoostA2DE::buildModel(const torch::Tensor& weights)
+    {
+        models.clear();
+
+    }
+    void BoostA2DE::setHyperparameters(const nlohmann::json& hyperparameters_)
+    {
+        auto hyperparameters = hyperparameters_;
+        if (hyperparameters.contains("order")) {
+            std::vector<std::string> algos = { Orders.ASC, Orders.DESC, Orders.RAND };
+            order_algorithm = hyperparameters["order"];
+            if (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {
+                throw std::invalid_argument("Invalid order algorithm, valid values [" + Orders.ASC + ", " + Orders.DESC + ", " + Orders.RAND + "]");
+            }
+            hyperparameters.erase("order");
+        }
+        if (hyperparameters.contains("convergence")) {
+            convergence = hyperparameters["convergence"];
+            hyperparameters.erase("convergence");
+        }
+        if (hyperparameters.contains("convergence_best")) {
+            convergence_best = hyperparameters["convergence_best"];
+            hyperparameters.erase("convergence_best");
+        }
+        if (hyperparameters.contains("bisection")) {
+            bisection = hyperparameters["bisection"];
+            hyperparameters.erase("bisection");
+        }
+        if (hyperparameters.contains("threshold")) {
+            threshold = hyperparameters["threshold"];
+            hyperparameters.erase("threshold");
+        }
+        if (hyperparameters.contains("maxTolerance")) {
+            maxTolerance = hyperparameters["maxTolerance"];
+            if (maxTolerance < 1 || maxTolerance > 4)
+                throw std::invalid_argument("Invalid maxTolerance value, must be greater in [1, 4]");
+            hyperparameters.erase("maxTolerance");
+        }
+        if (hyperparameters.contains("predict_voting")) {
+            predict_voting = hyperparameters["predict_voting"];
+            hyperparameters.erase("predict_voting");
+        }
+        if (hyperparameters.contains("select_features")) {
+            auto selectedAlgorithm = hyperparameters["select_features"];
+            std::vector<std::string> algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };
+            selectFeatures = true;
+            select_features_algorithm = selectedAlgorithm;
+            if (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {
+                throw std::invalid_argument("Invalid selectFeatures value, valid values [" + SelectFeatures.IWSS + ", " + SelectFeatures.CFS + ", " + SelectFeatures.FCBF + "]");
+            }
+            hyperparameters.erase("select_features");
+        }
+        if (hyperparameters.contains("block_update")) {
+            block_update = hyperparameters["block_update"];
+            hyperparameters.erase("block_update");
+        }
+        Classifier::setHyperparameters(hyperparameters);
+    }
+    std::vector<std::string> BoostA2DE::graph(const std::string& title) const
+    {
+        return Ensemble::graph(title);
+    }
+}
\ No newline at end of file
diff --git a/bayesnet/ensembles/BoostA2DE.h b/bayesnet/ensembles/BoostA2DE.h
new file mode 100644
index 0000000..b9e9ad7
--- /dev/null
+++ b/bayesnet/ensembles/BoostA2DE.h
@@ -0,0 +1,38 @@
+// ***************************************************************
+// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
+// SPDX-FileType: SOURCE
+// SPDX-License-Identifier: MIT
+// ***************************************************************
+
+#ifndef BOOSTA2DE_H
+#define BOOSTA2DE_H
+#include <map>
+#include "boost.h"
+#include "bayesnet/classifiers/SPnDE.h"
+#include "bayesnet/feature_selection/FeatureSelect.h"
+#include "Ensemble.h"
+namespace bayesnet {
+    class BoostA2DE : public Ensemble {
+    public:
+        explicit BoostA2DE(bool predict_voting = false);
+        virtual ~BoostA2DE() = default;
+        std::vector<std::string> graph(const std::string& title = "BoostA2DE") const override;
+        void setHyperparameters(const nlohmann::json& hyperparameters_) override;
+    protected:
+        void buildModel(const torch::Tensor& weights) override;
+    private:
+        torch::Tensor X_train, y_train, X_test, y_test;
+        // Hyperparameters
+        bool bisection = true; // if true, use bisection stratety to add k models at once to the ensemble
+        int maxTolerance = 3;
+        std::string order_algorithm; // order to process the KBest features asc, desc, rand
+        bool convergence = true; //if true, stop when the model does not improve
+        bool convergence_best = false; // wether to keep the best accuracy to the moment or the last accuracy as prior accuracy
+        bool selectFeatures = false; // if true, use feature selection
+        std::string select_features_algorithm = Orders.DESC; // Selected feature selection algorithm
+        FeatureSelect* featureSelector = nullptr;
+        double threshold = -1;
+        bool block_update = false;
+    };
+}
+#endif
\ No newline at end of file
diff --git a/bayesnet/ensembles/BoostAODE.h b/bayesnet/ensembles/BoostAODE.h
index dac0004..c4f8844 100644
--- a/bayesnet/ensembles/BoostAODE.h
+++ b/bayesnet/ensembles/BoostAODE.h
@@ -9,18 +9,9 @@
 #include <map>
 #include "bayesnet/classifiers/SPODE.h"
 #include "bayesnet/feature_selection/FeatureSelect.h"
+#include "boost.h"
 #include "Ensemble.h"
 namespace bayesnet {
-    const struct {
-        std::string CFS = "CFS";
-        std::string FCBF = "FCBF";
-        std::string IWSS = "IWSS";
-    }SelectFeatures;
-    const struct {
-        std::string ASC = "asc";
-        std::string DESC = "desc";
-        std::string RAND = "rand";
-    }Orders;
     class BoostAODE : public Ensemble {
     public:
         explicit BoostAODE(bool predict_voting = false);
diff --git a/bayesnet/ensembles/boost.h b/bayesnet/ensembles/boost.h
new file mode 100644
index 0000000..54d6ce7
--- /dev/null
+++ b/bayesnet/ensembles/boost.h
@@ -0,0 +1,13 @@
+#ifndef BOOST_H
+#define BOOST_H
+const struct {
+    std::string CFS = "CFS";
+    std::string FCBF = "FCBF";
+    std::string IWSS = "IWSS";
+}SelectFeatures;
+const struct {
+    std::string ASC = "asc";
+    std::string DESC = "desc";
+    std::string RAND = "rand";
+}Orders;
+#endif
\ No newline at end of file
diff --git a/docs/BoostAODE.md b/docs/BoostAODE.md
index def453d..308d00c 100644
--- a/docs/BoostAODE.md
+++ b/docs/BoostAODE.md
@@ -27,4 +27,4 @@ The hyperparameters defined in the algorithm are:
 
 ## Operation
 
-### [Algorithm](./algorithm.md)
+### [Base Algorithm](./algorithm.md)
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index a878442..4befe44 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -10,7 +10,7 @@ if(ENABLE_TESTING)
     file(GLOB_RECURSE BayesNet_SOURCES "${BayesNet_SOURCE_DIR}/bayesnet/*.cc")
     add_executable(TestBayesNet TestBayesNetwork.cc TestBayesNode.cc TestBayesClassifier.cc 
         TestBayesModels.cc TestBayesMetrics.cc TestFeatureSelection.cc TestBoostAODE.cc TestA2DE.cc 
-        TestUtils.cc TestBayesEnsemble.cc TestModulesVersions.cc ${BayesNet_SOURCES})
+        TestUtils.cc TestBayesEnsemble.cc TestModulesVersions.cc TestBoostA2DE.cc ${BayesNet_SOURCES})
     target_link_libraries(TestBayesNet PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp PRIVATE Catch2::Catch2WithMain)
     add_test(NAME BayesNetworkTest COMMAND TestBayesNet)
     add_test(NAME Network COMMAND TestBayesNet "[Network]")
@@ -22,5 +22,6 @@ if(ENABLE_TESTING)
     add_test(NAME Models COMMAND TestBayesNet "[Models]")
     add_test(NAME BoostAODE COMMAND TestBayesNet "[BoostAODE]")
     add_test(NAME A2DE COMMAND TestBayesNet "[A2DE]")
+    add_test(NAME BoostA2DE COMMAND TestBayesNet "[BoostA2DE]")
     add_test(NAME Modules COMMAND TestBayesNet "[Modules]")
 endif(ENABLE_TESTING)
diff --git a/tests/TestBoostA2DE.cc b/tests/TestBoostA2DE.cc
new file mode 100644
index 0000000..1be717d
--- /dev/null
+++ b/tests/TestBoostA2DE.cc
@@ -0,0 +1,212 @@
+// ***************************************************************
+// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
+// SPDX-FileType: SOURCE
+// SPDX-License-Identifier: MIT
+// ***************************************************************
+
+#include <type_traits>
+#include <catch2/catch_test_macros.hpp>
+#include <catch2/catch_approx.hpp>
+#include <catch2/generators/catch_generators.hpp>
+#include "bayesnet/ensembles/BoostA2DE.h"
+#include "TestUtils.h"
+
+
+TEST_CASE("Feature_select CFS", "[BoostA2DE]")
+{
+    auto raw = RawDatasets("iris", true);
+    auto clf = bayesnet::BoostA2DE();
+    clf.setHyperparameters({ {"select_features", "CFS"} });
+    clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+    REQUIRE(clf.getNumberOfNodes() == 0);
+    REQUIRE(clf.getNumberOfEdges() == 0);
+    // REQUIRE(clf.getNotes().size() == 2);
+    // REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 9 with CFS");
+    // REQUIRE(clf.getNotes()[1] == "Number of models: 9");
+}
+// TEST_CASE("Feature_select IWSS", "[BoostAODE]")
+// {
+//     auto raw = RawDatasets("glass", true);
+//     auto clf = bayesnet::BoostAODE();
+//     clf.setHyperparameters({ {"select_features", "IWSS"}, {"threshold", 0.5 } });
+//     clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+//     REQUIRE(clf.getNumberOfNodes() == 90);
+//     REQUIRE(clf.getNumberOfEdges() == 153);
+//     REQUIRE(clf.getNotes().size() == 2);
+//     REQUIRE(clf.getNotes()[0] == "Used features in initialization: 4 of 9 with IWSS");
+//     REQUIRE(clf.getNotes()[1] == "Number of models: 9");
+// }
+// TEST_CASE("Feature_select FCBF", "[BoostAODE]")
+// {
+//     auto raw = RawDatasets("glass", true);
+//     auto clf = bayesnet::BoostAODE();
+//     clf.setHyperparameters({ {"select_features", "FCBF"}, {"threshold", 1e-7 } });
+//     clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+//     REQUIRE(clf.getNumberOfNodes() == 90);
+//     REQUIRE(clf.getNumberOfEdges() == 153);
+//     REQUIRE(clf.getNotes().size() == 2);
+//     REQUIRE(clf.getNotes()[0] == "Used features in initialization: 4 of 9 with FCBF");
+//     REQUIRE(clf.getNotes()[1] == "Number of models: 9");
+// }
+// TEST_CASE("Test used features in train note and score", "[BoostAODE]")
+// {
+//     auto raw = RawDatasets("diabetes", true);
+//     auto clf = bayesnet::BoostAODE(true);
+//     clf.setHyperparameters({
+//         {"order", "asc"},
+//         {"convergence", true},
+//         {"select_features","CFS"},
+//         });
+//     clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+//     REQUIRE(clf.getNumberOfNodes() == 72);
+//     REQUIRE(clf.getNumberOfEdges() == 120);
+//     REQUIRE(clf.getNotes().size() == 2);
+//     REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 8 with CFS");
+//     REQUIRE(clf.getNotes()[1] == "Number of models: 8");
+//     auto score = clf.score(raw.Xv, raw.yv);
+//     auto scoret = clf.score(raw.Xt, raw.yt);
+//     REQUIRE(score == Catch::Approx(0.809895813).epsilon(raw.epsilon));
+//     REQUIRE(scoret == Catch::Approx(0.809895813).epsilon(raw.epsilon));
+// }
+// TEST_CASE("Voting vs proba", "[BoostAODE]")
+// {
+//     auto raw = RawDatasets("iris", true);
+//     auto clf = bayesnet::BoostAODE(false);
+//     clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+//     auto score_proba = clf.score(raw.Xv, raw.yv);
+//     auto pred_proba = clf.predict_proba(raw.Xv);
+//     clf.setHyperparameters({
+//         {"predict_voting",true},
+//         });
+//     auto score_voting = clf.score(raw.Xv, raw.yv);
+//     auto pred_voting = clf.predict_proba(raw.Xv);
+//     REQUIRE(score_proba == Catch::Approx(0.97333).epsilon(raw.epsilon));
+//     REQUIRE(score_voting == Catch::Approx(0.98).epsilon(raw.epsilon));
+//     REQUIRE(pred_voting[83][2] == Catch::Approx(1.0).epsilon(raw.epsilon));
+//     REQUIRE(pred_proba[83][2] == Catch::Approx(0.86121525).epsilon(raw.epsilon));
+//     REQUIRE(clf.dump_cpt() == "");
+//     REQUIRE(clf.topological_order() == std::vector<std::string>());
+// }
+// TEST_CASE("Order asc, desc & random", "[BoostAODE]")
+// {
+//     auto raw = RawDatasets("glass", true);
+//     std::map<std::string, double> scores{
+//         {"asc", 0.83645f }, { "desc", 0.84579f }, { "rand", 0.84112 }
+//     };
+//     for (const std::string& order : { "asc", "desc", "rand" }) {
+//         auto clf = bayesnet::BoostAODE();
+//         clf.setHyperparameters({
+//             {"order", order},
+//             {"bisection", false},
+//             {"maxTolerance", 1},
+//             {"convergence", false},
+//             });
+//         clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+//         auto score = clf.score(raw.Xv, raw.yv);
+//         auto scoret = clf.score(raw.Xt, raw.yt);
+//         INFO("BoostAODE order: " + order);
+//         REQUIRE(score == Catch::Approx(scores[order]).epsilon(raw.epsilon));
+//         REQUIRE(scoret == Catch::Approx(scores[order]).epsilon(raw.epsilon));
+//     }
+// }
+// TEST_CASE("Oddities", "[BoostAODE]")
+// {
+//     auto clf = bayesnet::BoostAODE();
+//     auto raw = RawDatasets("iris", true);
+//     auto bad_hyper = nlohmann::json{
+//         { { "order", "duck" } },
+//         { { "select_features", "duck" } },
+//         { { "maxTolerance", 0 } },
+//         { { "maxTolerance", 5 } },
+//     };
+//     for (const auto& hyper : bad_hyper.items()) {
+//         INFO("BoostAODE hyper: " + hyper.value().dump());
+//         REQUIRE_THROWS_AS(clf.setHyperparameters(hyper.value()), std::invalid_argument);
+//     }
+//     REQUIRE_THROWS_AS(clf.setHyperparameters({ {"maxTolerance", 0 } }), std::invalid_argument);
+//     auto bad_hyper_fit = nlohmann::json{
+//         { { "select_features","IWSS" }, { "threshold", -0.01 } },
+//         { { "select_features","IWSS" }, { "threshold", 0.51 } },
+//         { { "select_features","FCBF" }, { "threshold", 1e-8 } },
+//         { { "select_features","FCBF" }, { "threshold", 1.01 } },
+//     };
+//     for (const auto& hyper : bad_hyper_fit.items()) {
+//         INFO("BoostAODE hyper: " + hyper.value().dump());
+//         clf.setHyperparameters(hyper.value());
+//         REQUIRE_THROWS_AS(clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states), std::invalid_argument);
+//     }
+// }
+
+// TEST_CASE("Bisection Best", "[BoostAODE]")
+// {
+//     auto clf = bayesnet::BoostAODE();
+//     auto raw = RawDatasets("kdd_JapaneseVowels", true, 1200, true, false);
+//     clf.setHyperparameters({
+//         {"bisection", true},
+//         {"maxTolerance", 3},
+//         {"convergence", true},
+//         {"block_update", false},
+//         {"convergence_best", false},
+//         });
+//     clf.fit(raw.X_train, raw.y_train, raw.features, raw.className, raw.states);
+//     REQUIRE(clf.getNumberOfNodes() == 210);
+//     REQUIRE(clf.getNumberOfEdges() == 378);
+//     REQUIRE(clf.getNotes().size() == 1);
+//     REQUIRE(clf.getNotes().at(0) == "Number of models: 14");
+//     auto score = clf.score(raw.X_test, raw.y_test);
+//     auto scoret = clf.score(raw.X_test, raw.y_test);
+//     REQUIRE(score == Catch::Approx(0.991666675f).epsilon(raw.epsilon));
+//     REQUIRE(scoret == Catch::Approx(0.991666675f).epsilon(raw.epsilon));
+// }
+// TEST_CASE("Bisection Best vs Last", "[BoostAODE]")
+// {
+//     auto raw = RawDatasets("kdd_JapaneseVowels", true, 1500, true, false);
+//     auto clf = bayesnet::BoostAODE(true);
+//     auto hyperparameters = nlohmann::json{
+//         {"bisection", true},
+//         {"maxTolerance", 3},
+//         {"convergence", true},
+//         {"convergence_best", true},
+//     };
+//     clf.setHyperparameters(hyperparameters);
+//     clf.fit(raw.X_train, raw.y_train, raw.features, raw.className, raw.states);
+//     auto score_best = clf.score(raw.X_test, raw.y_test);
+//     REQUIRE(score_best == Catch::Approx(0.980000019f).epsilon(raw.epsilon));
+//     // Now we will set the hyperparameter to use the last accuracy
+//     hyperparameters["convergence_best"] = false;
+//     clf.setHyperparameters(hyperparameters);
+//     clf.fit(raw.X_train, raw.y_train, raw.features, raw.className, raw.states);
+//     auto score_last = clf.score(raw.X_test, raw.y_test);
+//     REQUIRE(score_last == Catch::Approx(0.976666689f).epsilon(raw.epsilon));
+// }
+
+// TEST_CASE("Block Update", "[BoostAODE]")
+// {
+//     auto clf = bayesnet::BoostAODE();
+//     auto raw = RawDatasets("mfeat-factors", true, 500);
+//     clf.setHyperparameters({
+//         {"bisection", true},
+//         {"block_update", true},
+//         {"maxTolerance", 3},
+//         {"convergence", true},
+//         });
+//     clf.fit(raw.X_train, raw.y_train, raw.features, raw.className, raw.states);
+//     REQUIRE(clf.getNumberOfNodes() == 868);
+//     REQUIRE(clf.getNumberOfEdges() == 1724);
+//     REQUIRE(clf.getNotes().size() == 3);
+//     REQUIRE(clf.getNotes()[0] == "Convergence threshold reached & 15 models eliminated");
+//     REQUIRE(clf.getNotes()[1] == "Used features in train: 19 of 216");
+//     REQUIRE(clf.getNotes()[2] == "Number of models: 4");
+//     auto score = clf.score(raw.X_test, raw.y_test);
+//     auto scoret = clf.score(raw.X_test, raw.y_test);
+//     REQUIRE(score == Catch::Approx(0.99f).epsilon(raw.epsilon));
+//     REQUIRE(scoret == Catch::Approx(0.99f).epsilon(raw.epsilon));
+//     //
+//     // std::cout << "Number of nodes " << clf.getNumberOfNodes() << std::endl;
+//     // std::cout << "Number of edges " << clf.getNumberOfEdges() << std::endl;
+//     // std::cout << "Notes size " << clf.getNotes().size() << std::endl;
+//     // for (auto note : clf.getNotes()) {
+//     //     std::cout << note << std::endl;
+//     // }
+//     // std::cout << "Score " << score << std::endl;
+// }
\ No newline at end of file

From 54496c68f1a4a070e654b429406b61bce8de5ae8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Wed, 15 May 2024 19:49:15 +0200
Subject: [PATCH 03/21] Create Boost class as Boost<x> classifiers parent

---
 bayesnet/ensembles/Boost.cc     | 214 ++++++++++++++++++++++++++++++++
 bayesnet/ensembles/Boost.h      |  51 ++++++++
 bayesnet/ensembles/BoostA2DE.cc |  87 +++++--------
 bayesnet/ensembles/BoostA2DE.h  |  24 +---
 bayesnet/ensembles/BoostAODE.cc | 213 +------------------------------
 bayesnet/ensembles/BoostAODE.h  |  23 +---
 bayesnet/ensembles/boost.h      |  13 --
 bayesnet/utils/BayesMetrics.cc  |   2 +-
 tests/CMakeLists.txt            |  16 +--
 9 files changed, 318 insertions(+), 325 deletions(-)
 create mode 100644 bayesnet/ensembles/Boost.cc
 create mode 100644 bayesnet/ensembles/Boost.h
 delete mode 100644 bayesnet/ensembles/boost.h

diff --git a/bayesnet/ensembles/Boost.cc b/bayesnet/ensembles/Boost.cc
new file mode 100644
index 0000000..73d4adb
--- /dev/null
+++ b/bayesnet/ensembles/Boost.cc
@@ -0,0 +1,214 @@
+// ***************************************************************
+// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
+// SPDX-FileType: SOURCE
+// SPDX-License-Identifier: MIT
+// ***************************************************************
+#include "bayesnet/feature_selection/CFS.h"
+#include "bayesnet/feature_selection/FCBF.h"
+#include "bayesnet/feature_selection/IWSS.h"
+#include "Boost.h"
+
+namespace bayesnet {
+    Boost::Boost(bool predict_voting) : Ensemble(predict_voting)
+    {
+        validHyperparameters = { "order", "convergence", "convergence_best", "bisection", "threshold", "maxTolerance",
+        "predict_voting", "select_features", "block_update" };
+    }
+    void Boost::setHyperparameters(const nlohmann::json& hyperparameters_)
+    {
+        auto hyperparameters = hyperparameters_;
+        if (hyperparameters.contains("order")) {
+            std::vector<std::string> algos = { Orders.ASC, Orders.DESC, Orders.RAND };
+            order_algorithm = hyperparameters["order"];
+            if (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {
+                throw std::invalid_argument("Invalid order algorithm, valid values [" + Orders.ASC + ", " + Orders.DESC + ", " + Orders.RAND + "]");
+            }
+            hyperparameters.erase("order");
+        }
+        if (hyperparameters.contains("convergence")) {
+            convergence = hyperparameters["convergence"];
+            hyperparameters.erase("convergence");
+        }
+        if (hyperparameters.contains("convergence_best")) {
+            convergence_best = hyperparameters["convergence_best"];
+            hyperparameters.erase("convergence_best");
+        }
+        if (hyperparameters.contains("bisection")) {
+            bisection = hyperparameters["bisection"];
+            hyperparameters.erase("bisection");
+        }
+        if (hyperparameters.contains("threshold")) {
+            threshold = hyperparameters["threshold"];
+            hyperparameters.erase("threshold");
+        }
+        if (hyperparameters.contains("maxTolerance")) {
+            maxTolerance = hyperparameters["maxTolerance"];
+            if (maxTolerance < 1 || maxTolerance > 4)
+                throw std::invalid_argument("Invalid maxTolerance value, must be greater in [1, 4]");
+            hyperparameters.erase("maxTolerance");
+        }
+        if (hyperparameters.contains("predict_voting")) {
+            predict_voting = hyperparameters["predict_voting"];
+            hyperparameters.erase("predict_voting");
+        }
+        if (hyperparameters.contains("select_features")) {
+            auto selectedAlgorithm = hyperparameters["select_features"];
+            std::vector<std::string> algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };
+            selectFeatures = true;
+            select_features_algorithm = selectedAlgorithm;
+            if (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {
+                throw std::invalid_argument("Invalid selectFeatures value, valid values [" + SelectFeatures.IWSS + ", " + SelectFeatures.CFS + ", " + SelectFeatures.FCBF + "]");
+            }
+            hyperparameters.erase("select_features");
+        }
+        if (hyperparameters.contains("block_update")) {
+            block_update = hyperparameters["block_update"];
+            hyperparameters.erase("block_update");
+        }
+        Classifier::setHyperparameters(hyperparameters);
+    }
+    std::vector<int> Boost::featureSelection(torch::Tensor& weights_)
+    {
+        int maxFeatures = 0;
+        if (select_features_algorithm == SelectFeatures.CFS) {
+            featureSelector = new CFS(dataset, features, className, maxFeatures, states.at(className).size(), weights_);
+        } else if (select_features_algorithm == SelectFeatures.IWSS) {
+            if (threshold < 0 || threshold >0.5) {
+                throw std::invalid_argument("Invalid threshold value for " + SelectFeatures.IWSS + " [0, 0.5]");
+            }
+            featureSelector = new IWSS(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);
+        } else if (select_features_algorithm == SelectFeatures.FCBF) {
+            if (threshold < 1e-7 || threshold > 1) {
+                throw std::invalid_argument("Invalid threshold value for " + SelectFeatures.FCBF + " [1e-7, 1]");
+            }
+            featureSelector = new FCBF(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);
+        }
+        featureSelector->fit();
+        auto featuresUsed = featureSelector->getFeatures();
+        delete featureSelector;
+        return featuresUsed;
+    }
+    std::tuple<torch::Tensor&, double, bool> Boost::update_weights(torch::Tensor& ytrain, torch::Tensor& ypred, torch::Tensor& weights)
+    {
+        bool terminate = false;
+        double alpha_t = 0;
+        auto mask_wrong = ypred != ytrain;
+        auto mask_right = ypred == ytrain;
+        auto masked_weights = weights * mask_wrong.to(weights.dtype());
+        double epsilon_t = masked_weights.sum().item<double>();
+        if (epsilon_t > 0.5) {
+            // Inverse the weights policy (plot ln(wt))
+            // "In each round of AdaBoost, there is a sanity check to ensure that the current base 
+            // learner is better than random guess" (Zhi-Hua Zhou, 2012)
+            terminate = true;
+        } else {
+            double wt = (1 - epsilon_t) / epsilon_t;
+            alpha_t = epsilon_t == 0 ? 1 : 0.5 * log(wt);
+            // Step 3.2: Update weights for next classifier
+            // Step 3.2.1: Update weights of wrong samples
+            weights += mask_wrong.to(weights.dtype()) * exp(alpha_t) * weights;
+            // Step 3.2.2: Update weights of right samples
+            weights += mask_right.to(weights.dtype()) * exp(-alpha_t) * weights;
+            // Step 3.3: Normalise the weights
+            double totalWeights = torch::sum(weights).item<double>();
+            weights = weights / totalWeights;
+        }
+        return { weights, alpha_t, terminate };
+    }
+    std::tuple<torch::Tensor&, double, bool> Boost::update_weights_block(int k, torch::Tensor& ytrain, torch::Tensor& weights)
+    {
+        /* Update Block algorithm
+            k = # of models in block
+            n_models = # of models in ensemble to make predictions
+            n_models_bak = # models saved
+            models = vector of models to make predictions
+            models_bak = models not used to make predictions
+            significances_bak = backup of significances vector
+
+            Case list
+            A) k = 1, n_models = 1		=> n = 0 , n_models = n + k
+            B) k = 1, n_models = n + 1	=> n_models = n + k
+            C) k > 1, n_models = k + 1 	=> n= 1, n_models = n + k
+            D) k > 1, n_models = k		=> n = 0, n_models = n + k
+            E) k > 1, n_models = k + n	=> n_models = n + k
+
+            A, D) n=0, k > 0, n_models == k
+            1. n_models_bak <- n_models
+            2. significances_bak <- significances
+            3. significances = vector(k, 1)
+            4. Don’t move any classifiers out of models
+            5. n_models <- k
+            6. Make prediction, compute alpha, update weights
+            7. Don’t restore any classifiers to models
+            8. significances <- significances_bak
+            9. Update last k significances
+            10. n_models <- n_models_bak
+
+            B, C, E) n > 0, k > 0, n_models == n + k
+            1. n_models_bak <- n_models
+            2. significances_bak <- significances
+            3. significances = vector(k, 1)
+            4. Move first n classifiers to models_bak
+            5. n_models <- k
+            6. Make prediction, compute alpha, update weights
+            7. Insert classifiers in models_bak to be the first n models
+            8. significances <- significances_bak
+            9. Update last k significances
+            10. n_models <- n_models_bak
+        */
+        //
+        // Make predict with only the last k models
+        //
+        std::unique_ptr<Classifier> model;
+        std::vector<std::unique_ptr<Classifier>> models_bak;
+        // 1. n_models_bak <- n_models 2. significances_bak <- significances
+        auto significance_bak = significanceModels;
+        auto n_models_bak = n_models;
+        // 3. significances = vector(k, 1)
+        significanceModels = std::vector<double>(k, 1.0);
+        // 4. Move first n classifiers to models_bak
+        // backup the first n_models - k models (if n_models == k, don't backup any)
+        for (int i = 0; i < n_models - k; ++i) {
+            model = std::move(models[0]);
+            models.erase(models.begin());
+            models_bak.push_back(std::move(model));
+        }
+        assert(models.size() == k);
+        // 5. n_models <- k
+        n_models = k;
+        // 6. Make prediction, compute alpha, update weights
+        auto ypred = predict(X_train);
+        //
+        // Update weights
+        //
+        double alpha_t;
+        bool terminate;
+        std::tie(weights, alpha_t, terminate) = update_weights(y_train, ypred, weights);
+        //
+        // Restore the models if needed
+        //
+        // 7. Insert classifiers in models_bak to be the first n models
+        // if n_models_bak == k, don't restore any, because none of them were moved
+        if (k != n_models_bak) {
+            // Insert in the same order as they were extracted
+            int bak_size = models_bak.size();
+            for (int i = 0; i < bak_size; ++i) {
+                model = std::move(models_bak[bak_size - 1 - i]);
+                models_bak.erase(models_bak.end() - 1);
+                models.insert(models.begin(), std::move(model));
+            }
+        }
+        // 8. significances <- significances_bak
+        significanceModels = significance_bak;
+        //
+        // Update the significance of the last k models
+        //
+        // 9. Update last k significances
+        for (int i = 0; i < k; ++i) {
+            significanceModels[n_models_bak - k + i] = alpha_t;
+        }
+        // 10. n_models <- n_models_bak
+        n_models = n_models_bak;
+        return { weights, alpha_t, terminate };
+    }
+}
\ No newline at end of file
diff --git a/bayesnet/ensembles/Boost.h b/bayesnet/ensembles/Boost.h
new file mode 100644
index 0000000..d00728b
--- /dev/null
+++ b/bayesnet/ensembles/Boost.h
@@ -0,0 +1,51 @@
+// ***************************************************************
+// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
+// SPDX-FileType: SOURCE
+// SPDX-License-Identifier: MIT
+// ***************************************************************
+
+#ifndef BOOST_H
+#define BOOST_H
+#include <string>
+#include <tuple>
+#include <vector>
+#include <nlohmann/json.hpp>
+#include <torch/torch.h>
+#include "Ensemble.h"
+#include "bayesnet/feature_selection/FeatureSelect.h"
+namespace bayesnet {
+    const struct {
+        std::string CFS = "CFS";
+        std::string FCBF = "FCBF";
+        std::string IWSS = "IWSS";
+    }SelectFeatures;
+    const struct {
+        std::string ASC = "asc";
+        std::string DESC = "desc";
+        std::string RAND = "rand";
+    }Orders;
+    class Boost : public Ensemble {
+    public:
+        explicit Boost(bool predict_voting = false);
+        virtual ~Boost() = default;
+        void setHyperparameters(const nlohmann::json& hyperparameters_) override;
+    protected:
+        std::vector<int> featureSelection(torch::Tensor& weights_);
+        std::tuple<torch::Tensor&, double, bool> update_weights(torch::Tensor& ytrain, torch::Tensor& ypred, torch::Tensor& weights);
+        std::tuple<torch::Tensor&, double, bool> update_weights_block(int k, torch::Tensor& ytrain, torch::Tensor& weights);
+        torch::Tensor X_train, y_train, X_test, y_test;
+        // Hyperparameters
+        bool bisection = true; // if true, use bisection stratety to add k models at once to the ensemble
+        int maxTolerance = 3;
+        std::string order_algorithm; // order to process the KBest features asc, desc, rand
+        bool convergence = true; //if true, stop when the model does not improve
+        bool convergence_best = false; // wether to keep the best accuracy to the moment or the last accuracy as prior accuracy
+        bool selectFeatures = false; // if true, use feature selection
+        std::string select_features_algorithm = Orders.DESC; // Selected feature selection algorithm
+        FeatureSelect* featureSelector = nullptr;
+        double threshold = -1;
+        bool block_update = false;
+
+    };
+}
+#endif
\ No newline at end of file
diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
index aadb4c6..9ad85e9 100644
--- a/bayesnet/ensembles/BoostA2DE.cc
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -16,71 +16,44 @@
 
 namespace bayesnet {
 
-    BoostA2DE::BoostA2DE(bool predict_voting) : Ensemble(predict_voting)
+    BoostA2DE::BoostA2DE(bool predict_voting) : Boost(predict_voting)
     {
-        validHyperparameters = {
-            "maxModels", "bisection", "order", "convergence", "convergence_best", "threshold",
-            "select_features", "maxTolerance", "predict_voting", "block_update"
-        };
-
     }
     void BoostA2DE::buildModel(const torch::Tensor& weights)
     {
+        // Models shall be built in trainModel
         models.clear();
+        significanceModels.clear();
+        n_models = 0;
+        // Prepare the validation dataset
+        auto y_ = dataset.index({ -1, "..." });
+        if (convergence) {
+            // Prepare train & validation sets from train data
+            auto fold = folding::StratifiedKFold(5, y_, 271);
+            auto [train, test] = fold.getFold(0);
+            auto train_t = torch::tensor(train);
+            auto test_t = torch::tensor(test);
+            // Get train and validation sets
+            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });
+            y_train = dataset.index({ -1, train_t });
+            X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });
+            y_test = dataset.index({ -1, test_t });
+            dataset = X_train;
+            m = X_train.size(1);
+            auto n_classes = states.at(className).size();
+            // Build dataset with train data
+            buildDataset(y_train);
+            metrics = Metrics(dataset, features, className, n_classes);
+        } else {
+            // Use all data to train
+            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), "..." });
+            y_train = y_;
+        }
 
     }
-    void BoostA2DE::setHyperparameters(const nlohmann::json& hyperparameters_)
+    void BoostA2DE::trainModel(const torch::Tensor& weights)
     {
-        auto hyperparameters = hyperparameters_;
-        if (hyperparameters.contains("order")) {
-            std::vector<std::string> algos = { Orders.ASC, Orders.DESC, Orders.RAND };
-            order_algorithm = hyperparameters["order"];
-            if (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {
-                throw std::invalid_argument("Invalid order algorithm, valid values [" + Orders.ASC + ", " + Orders.DESC + ", " + Orders.RAND + "]");
-            }
-            hyperparameters.erase("order");
-        }
-        if (hyperparameters.contains("convergence")) {
-            convergence = hyperparameters["convergence"];
-            hyperparameters.erase("convergence");
-        }
-        if (hyperparameters.contains("convergence_best")) {
-            convergence_best = hyperparameters["convergence_best"];
-            hyperparameters.erase("convergence_best");
-        }
-        if (hyperparameters.contains("bisection")) {
-            bisection = hyperparameters["bisection"];
-            hyperparameters.erase("bisection");
-        }
-        if (hyperparameters.contains("threshold")) {
-            threshold = hyperparameters["threshold"];
-            hyperparameters.erase("threshold");
-        }
-        if (hyperparameters.contains("maxTolerance")) {
-            maxTolerance = hyperparameters["maxTolerance"];
-            if (maxTolerance < 1 || maxTolerance > 4)
-                throw std::invalid_argument("Invalid maxTolerance value, must be greater in [1, 4]");
-            hyperparameters.erase("maxTolerance");
-        }
-        if (hyperparameters.contains("predict_voting")) {
-            predict_voting = hyperparameters["predict_voting"];
-            hyperparameters.erase("predict_voting");
-        }
-        if (hyperparameters.contains("select_features")) {
-            auto selectedAlgorithm = hyperparameters["select_features"];
-            std::vector<std::string> algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };
-            selectFeatures = true;
-            select_features_algorithm = selectedAlgorithm;
-            if (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {
-                throw std::invalid_argument("Invalid selectFeatures value, valid values [" + SelectFeatures.IWSS + ", " + SelectFeatures.CFS + ", " + SelectFeatures.FCBF + "]");
-            }
-            hyperparameters.erase("select_features");
-        }
-        if (hyperparameters.contains("block_update")) {
-            block_update = hyperparameters["block_update"];
-            hyperparameters.erase("block_update");
-        }
-        Classifier::setHyperparameters(hyperparameters);
+
     }
     std::vector<std::string> BoostA2DE::graph(const std::string& title) const
     {
diff --git a/bayesnet/ensembles/BoostA2DE.h b/bayesnet/ensembles/BoostA2DE.h
index b9e9ad7..c81531e 100644
--- a/bayesnet/ensembles/BoostA2DE.h
+++ b/bayesnet/ensembles/BoostA2DE.h
@@ -6,33 +6,19 @@
 
 #ifndef BOOSTA2DE_H
 #define BOOSTA2DE_H
-#include <map>
-#include "boost.h"
+#include <string>
+#include <vector>
 #include "bayesnet/classifiers/SPnDE.h"
-#include "bayesnet/feature_selection/FeatureSelect.h"
-#include "Ensemble.h"
+#include "Boost.h"
 namespace bayesnet {
-    class BoostA2DE : public Ensemble {
+    class BoostA2DE : public Boost {
     public:
         explicit BoostA2DE(bool predict_voting = false);
         virtual ~BoostA2DE() = default;
         std::vector<std::string> graph(const std::string& title = "BoostA2DE") const override;
-        void setHyperparameters(const nlohmann::json& hyperparameters_) override;
     protected:
         void buildModel(const torch::Tensor& weights) override;
-    private:
-        torch::Tensor X_train, y_train, X_test, y_test;
-        // Hyperparameters
-        bool bisection = true; // if true, use bisection stratety to add k models at once to the ensemble
-        int maxTolerance = 3;
-        std::string order_algorithm; // order to process the KBest features asc, desc, rand
-        bool convergence = true; //if true, stop when the model does not improve
-        bool convergence_best = false; // wether to keep the best accuracy to the moment or the last accuracy as prior accuracy
-        bool selectFeatures = false; // if true, use feature selection
-        std::string select_features_algorithm = Orders.DESC; // Selected feature selection algorithm
-        FeatureSelect* featureSelector = nullptr;
-        double threshold = -1;
-        bool block_update = false;
+        void trainModel(const torch::Tensor& weights) override;
     };
 }
 #endif
\ No newline at end of file
diff --git a/bayesnet/ensembles/BoostAODE.cc b/bayesnet/ensembles/BoostAODE.cc
index 1e855c9..a1a748a 100644
--- a/bayesnet/ensembles/BoostAODE.cc
+++ b/bayesnet/ensembles/BoostAODE.cc
@@ -9,21 +9,13 @@
 #include <limits.h>
 #include <tuple>
 #include <folding.hpp>
-#include "bayesnet/feature_selection/CFS.h"
-#include "bayesnet/feature_selection/FCBF.h"
-#include "bayesnet/feature_selection/IWSS.h"
 #include "BoostAODE.h"
 #include "lib/log/loguru.cpp"
 
 namespace bayesnet {
 
-    BoostAODE::BoostAODE(bool predict_voting) : Ensemble(predict_voting)
+    BoostAODE::BoostAODE(bool predict_voting) : Boost(predict_voting)
     {
-        validHyperparameters = {
-            "maxModels", "bisection", "order", "convergence", "convergence_best", "threshold",
-            "select_features", "maxTolerance", "predict_voting", "block_update"
-        };
-
     }
     void BoostAODE::buildModel(const torch::Tensor& weights)
     {
@@ -56,214 +48,19 @@ namespace bayesnet {
             y_train = y_;
         }
     }
-    void BoostAODE::setHyperparameters(const nlohmann::json& hyperparameters_)
-    {
-        auto hyperparameters = hyperparameters_;
-        if (hyperparameters.contains("order")) {
-            std::vector<std::string> algos = { Orders.ASC, Orders.DESC, Orders.RAND };
-            order_algorithm = hyperparameters["order"];
-            if (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {
-                throw std::invalid_argument("Invalid order algorithm, valid values [" + Orders.ASC + ", " + Orders.DESC + ", " + Orders.RAND + "]");
-            }
-            hyperparameters.erase("order");
-        }
-        if (hyperparameters.contains("convergence")) {
-            convergence = hyperparameters["convergence"];
-            hyperparameters.erase("convergence");
-        }
-        if (hyperparameters.contains("convergence_best")) {
-            convergence_best = hyperparameters["convergence_best"];
-            hyperparameters.erase("convergence_best");
-        }
-        if (hyperparameters.contains("bisection")) {
-            bisection = hyperparameters["bisection"];
-            hyperparameters.erase("bisection");
-        }
-        if (hyperparameters.contains("threshold")) {
-            threshold = hyperparameters["threshold"];
-            hyperparameters.erase("threshold");
-        }
-        if (hyperparameters.contains("maxTolerance")) {
-            maxTolerance = hyperparameters["maxTolerance"];
-            if (maxTolerance < 1 || maxTolerance > 4)
-                throw std::invalid_argument("Invalid maxTolerance value, must be greater in [1, 4]");
-            hyperparameters.erase("maxTolerance");
-        }
-        if (hyperparameters.contains("predict_voting")) {
-            predict_voting = hyperparameters["predict_voting"];
-            hyperparameters.erase("predict_voting");
-        }
-        if (hyperparameters.contains("select_features")) {
-            auto selectedAlgorithm = hyperparameters["select_features"];
-            std::vector<std::string> algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };
-            selectFeatures = true;
-            select_features_algorithm = selectedAlgorithm;
-            if (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {
-                throw std::invalid_argument("Invalid selectFeatures value, valid values [" + SelectFeatures.IWSS + ", " + SelectFeatures.CFS + ", " + SelectFeatures.FCBF + "]");
-            }
-            hyperparameters.erase("select_features");
-        }
-        if (hyperparameters.contains("block_update")) {
-            block_update = hyperparameters["block_update"];
-            hyperparameters.erase("block_update");
-        }
-        Classifier::setHyperparameters(hyperparameters);
-    }
-    std::tuple<torch::Tensor&, double, bool> update_weights(torch::Tensor& ytrain, torch::Tensor& ypred, torch::Tensor& weights)
-    {
-        bool terminate = false;
-        double alpha_t = 0;
-        auto mask_wrong = ypred != ytrain;
-        auto mask_right = ypred == ytrain;
-        auto masked_weights = weights * mask_wrong.to(weights.dtype());
-        double epsilon_t = masked_weights.sum().item<double>();
-        if (epsilon_t > 0.5) {
-            // Inverse the weights policy (plot ln(wt))
-            // "In each round of AdaBoost, there is a sanity check to ensure that the current base 
-            // learner is better than random guess" (Zhi-Hua Zhou, 2012)
-            terminate = true;
-        } else {
-            double wt = (1 - epsilon_t) / epsilon_t;
-            alpha_t = epsilon_t == 0 ? 1 : 0.5 * log(wt);
-            // Step 3.2: Update weights for next classifier
-            // Step 3.2.1: Update weights of wrong samples
-            weights += mask_wrong.to(weights.dtype()) * exp(alpha_t) * weights;
-            // Step 3.2.2: Update weights of right samples
-            weights += mask_right.to(weights.dtype()) * exp(-alpha_t) * weights;
-            // Step 3.3: Normalise the weights
-            double totalWeights = torch::sum(weights).item<double>();
-            weights = weights / totalWeights;
-        }
-        return { weights, alpha_t, terminate };
-    }
-    std::tuple<torch::Tensor&, double, bool> BoostAODE::update_weights_block(int k, torch::Tensor& ytrain, torch::Tensor& weights)
-    {
-        /* Update Block algorithm
-            k = # of models in block
-            n_models = # of models in ensemble to make predictions
-            n_models_bak = # models saved
-            models = vector of models to make predictions
-            models_bak = models not used to make predictions
-            significances_bak = backup of significances vector
-
-            Case list
-            A) k = 1, n_models = 1		=> n = 0 , n_models = n + k
-            B) k = 1, n_models = n + 1	=> n_models = n + k
-            C) k > 1, n_models = k + 1 	=> n= 1, n_models = n + k
-            D) k > 1, n_models = k		=> n = 0, n_models = n + k
-            E) k > 1, n_models = k + n	=> n_models = n + k
-
-            A, D) n=0, k > 0, n_models == k
-            1. n_models_bak <- n_models
-            2. significances_bak <- significances
-            3. significances = vector(k, 1)
-            4. Don’t move any classifiers out of models
-            5. n_models <- k
-            6. Make prediction, compute alpha, update weights
-            7. Don’t restore any classifiers to models
-            8. significances <- significances_bak
-            9. Update last k significances
-            10. n_models <- n_models_bak
-
-            B, C, E) n > 0, k > 0, n_models == n + k
-            1. n_models_bak <- n_models
-            2. significances_bak <- significances
-            3. significances = vector(k, 1)
-            4. Move first n classifiers to models_bak
-            5. n_models <- k
-            6. Make prediction, compute alpha, update weights
-            7. Insert classifiers in models_bak to be the first n models
-            8. significances <- significances_bak
-            9. Update last k significances
-            10. n_models <- n_models_bak
-        */
-        //
-        // Make predict with only the last k models
-        //
-        std::unique_ptr<Classifier> model;
-        std::vector<std::unique_ptr<Classifier>> models_bak;
-        // 1. n_models_bak <- n_models 2. significances_bak <- significances
-        auto significance_bak = significanceModels;
-        auto n_models_bak = n_models;
-        // 3. significances = vector(k, 1)
-        significanceModels = std::vector<double>(k, 1.0);
-        // 4. Move first n classifiers to models_bak
-        // backup the first n_models - k models (if n_models == k, don't backup any)
-        for (int i = 0; i < n_models - k; ++i) {
-            model = std::move(models[0]);
-            models.erase(models.begin());
-            models_bak.push_back(std::move(model));
-        }
-        assert(models.size() == k);
-        // 5. n_models <- k
-        n_models = k;
-        // 6. Make prediction, compute alpha, update weights
-        auto ypred = predict(X_train);
-        //
-        // Update weights
-        //
-        double alpha_t;
-        bool terminate;
-        std::tie(weights, alpha_t, terminate) = update_weights(y_train, ypred, weights);
-        //
-        // Restore the models if needed
-        //
-        // 7. Insert classifiers in models_bak to be the first n models
-        // if n_models_bak == k, don't restore any, because none of them were moved
-        if (k != n_models_bak) {
-            // Insert in the same order as they were extracted
-            int bak_size = models_bak.size();
-            for (int i = 0; i < bak_size; ++i) {
-                model = std::move(models_bak[bak_size - 1 - i]);
-                models_bak.erase(models_bak.end() - 1);
-                models.insert(models.begin(), std::move(model));
-            }
-        }
-        // 8. significances <- significances_bak
-        significanceModels = significance_bak;
-        //
-        // Update the significance of the last k models
-        //
-        // 9. Update last k significances
-        for (int i = 0; i < k; ++i) {
-            significanceModels[n_models_bak - k + i] = alpha_t;
-        }
-        // 10. n_models <- n_models_bak
-        n_models = n_models_bak;
-        return { weights, alpha_t, terminate };
-    }
     std::vector<int> BoostAODE::initializeModels()
     {
-        std::vector<int> featuresUsed;
         torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
-        int maxFeatures = 0;
-        if (select_features_algorithm == SelectFeatures.CFS) {
-            featureSelector = new CFS(dataset, features, className, maxFeatures, states.at(className).size(), weights_);
-        } else if (select_features_algorithm == SelectFeatures.IWSS) {
-            if (threshold < 0 || threshold >0.5) {
-                throw std::invalid_argument("Invalid threshold value for " + SelectFeatures.IWSS + " [0, 0.5]");
-            }
-            featureSelector = new IWSS(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);
-        } else if (select_features_algorithm == SelectFeatures.FCBF) {
-            if (threshold < 1e-7 || threshold > 1) {
-                throw std::invalid_argument("Invalid threshold value for " + SelectFeatures.FCBF + " [1e-7, 1]");
-            }
-            featureSelector = new FCBF(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);
-        }
-        featureSelector->fit();
-        auto cfsFeatures = featureSelector->getFeatures();
-        auto scores = featureSelector->getScores();
-        for (const int& feature : cfsFeatures) {
-            featuresUsed.push_back(feature);
+        std::vector<int> featuresSelected = featureSelection(weights_);
+        for (const int& feature : featuresSelected) {
             std::unique_ptr<Classifier> model = std::make_unique<SPODE>(feature);
             model->fit(dataset, features, className, states, weights_);
             models.push_back(std::move(model));
             significanceModels.push_back(1.0); // They will be updated later in trainModel
             n_models++;
         }
-        notes.push_back("Used features in initialization: " + std::to_string(featuresUsed.size()) + " of " + std::to_string(features.size()) + " with " + select_features_algorithm);
-        delete featureSelector;
-        return featuresUsed;
+        notes.push_back("Used features in initialization: " + std::to_string(featuresSelected.size()) + " of " + std::to_string(features.size()) + " with " + select_features_algorithm);
+        return featuresSelected;
     }
     void BoostAODE::trainModel(const torch::Tensor& weights)
     {
diff --git a/bayesnet/ensembles/BoostAODE.h b/bayesnet/ensembles/BoostAODE.h
index c4f8844..d6da098 100644
--- a/bayesnet/ensembles/BoostAODE.h
+++ b/bayesnet/ensembles/BoostAODE.h
@@ -6,36 +6,21 @@
 
 #ifndef BOOSTAODE_H
 #define BOOSTAODE_H
-#include <map>
+#include <string>
+#include <vector>
 #include "bayesnet/classifiers/SPODE.h"
-#include "bayesnet/feature_selection/FeatureSelect.h"
-#include "boost.h"
-#include "Ensemble.h"
+#include "Boost.h"
 namespace bayesnet {
-    class BoostAODE : public Ensemble {
+    class BoostAODE : public Boost {
     public:
         explicit BoostAODE(bool predict_voting = false);
         virtual ~BoostAODE() = default;
         std::vector<std::string> graph(const std::string& title = "BoostAODE") const override;
-        void setHyperparameters(const nlohmann::json& hyperparameters_) override;
     protected:
         void buildModel(const torch::Tensor& weights) override;
         void trainModel(const torch::Tensor& weights) override;
     private:
-        std::tuple<torch::Tensor&, double, bool> update_weights_block(int k, torch::Tensor& ytrain, torch::Tensor& weights);
         std::vector<int> initializeModels();
-        torch::Tensor X_train, y_train, X_test, y_test;
-        // Hyperparameters
-        bool bisection = true; // if true, use bisection stratety to add k models at once to the ensemble
-        int maxTolerance = 3;
-        std::string order_algorithm; // order to process the KBest features asc, desc, rand
-        bool convergence = true; //if true, stop when the model does not improve
-        bool convergence_best = false; // wether to keep the best accuracy to the moment or the last accuracy as prior accuracy
-        bool selectFeatures = false; // if true, use feature selection
-        std::string select_features_algorithm = Orders.DESC; // Selected feature selection algorithm
-        FeatureSelect* featureSelector = nullptr;
-        double threshold = -1;
-        bool block_update = false;
     };
 }
 #endif
\ No newline at end of file
diff --git a/bayesnet/ensembles/boost.h b/bayesnet/ensembles/boost.h
deleted file mode 100644
index 54d6ce7..0000000
--- a/bayesnet/ensembles/boost.h
+++ /dev/null
@@ -1,13 +0,0 @@
-#ifndef BOOST_H
-#define BOOST_H
-const struct {
-    std::string CFS = "CFS";
-    std::string FCBF = "FCBF";
-    std::string IWSS = "IWSS";
-}SelectFeatures;
-const struct {
-    std::string ASC = "asc";
-    std::string DESC = "desc";
-    std::string RAND = "rand";
-}Orders;
-#endif
\ No newline at end of file
diff --git a/bayesnet/utils/BayesMetrics.cc b/bayesnet/utils/BayesMetrics.cc
index 3e63038..c863704 100644
--- a/bayesnet/utils/BayesMetrics.cc
+++ b/bayesnet/utils/BayesMetrics.cc
@@ -187,7 +187,7 @@ namespace bayesnet {
             auto [x, c, y] = keyJoint;
             auto keyMarginal = std::make_tuple(x, c);
 
-            double p_xc = marginalCount[keyMarginal] / totalWeight;
+            //double p_xc = marginalCount[keyMarginal] / totalWeight;
             double p_y_given_xc = jointFreq / marginalCount[keyMarginal];
 
             if (p_y_given_xc > 0) {
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 4befe44..99249fc 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -13,15 +13,15 @@ if(ENABLE_TESTING)
         TestUtils.cc TestBayesEnsemble.cc TestModulesVersions.cc TestBoostA2DE.cc ${BayesNet_SOURCES})
     target_link_libraries(TestBayesNet PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp PRIVATE Catch2::Catch2WithMain)
     add_test(NAME BayesNetworkTest COMMAND TestBayesNet)
-    add_test(NAME Network COMMAND TestBayesNet "[Network]")
-    add_test(NAME Node COMMAND TestBayesNet "[Node]")
-    add_test(NAME Metrics COMMAND TestBayesNet "[Metrics]")
-    add_test(NAME FeatureSelection COMMAND TestBayesNet "[FeatureSelection]")
-    add_test(NAME Classifier COMMAND TestBayesNet "[Classifier]")
-    add_test(NAME Ensemble COMMAND TestBayesNet "[Ensemble]")
-    add_test(NAME Models COMMAND TestBayesNet "[Models]")
-    add_test(NAME BoostAODE COMMAND TestBayesNet "[BoostAODE]")
     add_test(NAME A2DE COMMAND TestBayesNet "[A2DE]")
     add_test(NAME BoostA2DE COMMAND TestBayesNet "[BoostA2DE]")
+    add_test(NAME BoostAODE COMMAND TestBayesNet "[BoostAODE]")
+    add_test(NAME Classifier COMMAND TestBayesNet "[Classifier]")
+    add_test(NAME Ensemble COMMAND TestBayesNet "[Ensemble]")
+    add_test(NAME FeatureSelection COMMAND TestBayesNet "[FeatureSelection]")
+    add_test(NAME Metrics COMMAND TestBayesNet "[Metrics]")
+    add_test(NAME Models COMMAND TestBayesNet "[Models]")
     add_test(NAME Modules COMMAND TestBayesNet "[Modules]")
+    add_test(NAME Network COMMAND TestBayesNet "[Network]")
+    add_test(NAME Node COMMAND TestBayesNet "[Node]")
 endif(ENABLE_TESTING)

From 8784a24898eb89b717df8378a747f400d29dc900 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Wed, 15 May 2024 20:00:44 +0200
Subject: [PATCH 04/21] Extract buildModel method to parent class in Boost

---
 bayesnet/ensembles/Boost.cc     | 32 +++++++++++++++++++++++++++++++
 bayesnet/ensembles/Boost.h      |  1 +
 bayesnet/ensembles/BoostA2DE.cc | 32 -------------------------------
 bayesnet/ensembles/BoostA2DE.h  |  1 -
 bayesnet/ensembles/BoostAODE.cc | 34 ++-------------------------------
 bayesnet/ensembles/BoostAODE.h  |  1 -
 6 files changed, 35 insertions(+), 66 deletions(-)

diff --git a/bayesnet/ensembles/Boost.cc b/bayesnet/ensembles/Boost.cc
index 73d4adb..a582811 100644
--- a/bayesnet/ensembles/Boost.cc
+++ b/bayesnet/ensembles/Boost.cc
@@ -3,6 +3,7 @@
 // SPDX-FileType: SOURCE
 // SPDX-License-Identifier: MIT
 // ***************************************************************
+#include <folding.hpp>
 #include "bayesnet/feature_selection/CFS.h"
 #include "bayesnet/feature_selection/FCBF.h"
 #include "bayesnet/feature_selection/IWSS.h"
@@ -67,6 +68,37 @@ namespace bayesnet {
         }
         Classifier::setHyperparameters(hyperparameters);
     }
+    void Boost::buildModel(const torch::Tensor& weights)
+    {
+        // Models shall be built in trainModel
+        models.clear();
+        significanceModels.clear();
+        n_models = 0;
+        // Prepare the validation dataset
+        auto y_ = dataset.index({ -1, "..." });
+        if (convergence) {
+            // Prepare train & validation sets from train data
+            auto fold = folding::StratifiedKFold(5, y_, 271);
+            auto [train, test] = fold.getFold(0);
+            auto train_t = torch::tensor(train);
+            auto test_t = torch::tensor(test);
+            // Get train and validation sets
+            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });
+            y_train = dataset.index({ -1, train_t });
+            X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });
+            y_test = dataset.index({ -1, test_t });
+            dataset = X_train;
+            m = X_train.size(1);
+            auto n_classes = states.at(className).size();
+            // Build dataset with train data
+            buildDataset(y_train);
+            metrics = Metrics(dataset, features, className, n_classes);
+        } else {
+            // Use all data to train
+            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), "..." });
+            y_train = y_;
+        }
+    }
     std::vector<int> Boost::featureSelection(torch::Tensor& weights_)
     {
         int maxFeatures = 0;
diff --git a/bayesnet/ensembles/Boost.h b/bayesnet/ensembles/Boost.h
index d00728b..2594bcb 100644
--- a/bayesnet/ensembles/Boost.h
+++ b/bayesnet/ensembles/Boost.h
@@ -31,6 +31,7 @@ namespace bayesnet {
         void setHyperparameters(const nlohmann::json& hyperparameters_) override;
     protected:
         std::vector<int> featureSelection(torch::Tensor& weights_);
+        void buildModel(const torch::Tensor& weights) override;
         std::tuple<torch::Tensor&, double, bool> update_weights(torch::Tensor& ytrain, torch::Tensor& ypred, torch::Tensor& weights);
         std::tuple<torch::Tensor&, double, bool> update_weights_block(int k, torch::Tensor& ytrain, torch::Tensor& weights);
         torch::Tensor X_train, y_train, X_test, y_test;
diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
index 9ad85e9..77f2971 100644
--- a/bayesnet/ensembles/BoostA2DE.cc
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -18,38 +18,6 @@ namespace bayesnet {
 
     BoostA2DE::BoostA2DE(bool predict_voting) : Boost(predict_voting)
     {
-    }
-    void BoostA2DE::buildModel(const torch::Tensor& weights)
-    {
-        // Models shall be built in trainModel
-        models.clear();
-        significanceModels.clear();
-        n_models = 0;
-        // Prepare the validation dataset
-        auto y_ = dataset.index({ -1, "..." });
-        if (convergence) {
-            // Prepare train & validation sets from train data
-            auto fold = folding::StratifiedKFold(5, y_, 271);
-            auto [train, test] = fold.getFold(0);
-            auto train_t = torch::tensor(train);
-            auto test_t = torch::tensor(test);
-            // Get train and validation sets
-            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });
-            y_train = dataset.index({ -1, train_t });
-            X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });
-            y_test = dataset.index({ -1, test_t });
-            dataset = X_train;
-            m = X_train.size(1);
-            auto n_classes = states.at(className).size();
-            // Build dataset with train data
-            buildDataset(y_train);
-            metrics = Metrics(dataset, features, className, n_classes);
-        } else {
-            // Use all data to train
-            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), "..." });
-            y_train = y_;
-        }
-
     }
     void BoostA2DE::trainModel(const torch::Tensor& weights)
     {
diff --git a/bayesnet/ensembles/BoostA2DE.h b/bayesnet/ensembles/BoostA2DE.h
index c81531e..34cfe24 100644
--- a/bayesnet/ensembles/BoostA2DE.h
+++ b/bayesnet/ensembles/BoostA2DE.h
@@ -17,7 +17,6 @@ namespace bayesnet {
         virtual ~BoostA2DE() = default;
         std::vector<std::string> graph(const std::string& title = "BoostA2DE") const override;
     protected:
-        void buildModel(const torch::Tensor& weights) override;
         void trainModel(const torch::Tensor& weights) override;
     };
 }
diff --git a/bayesnet/ensembles/BoostAODE.cc b/bayesnet/ensembles/BoostAODE.cc
index a1a748a..e4ea907 100644
--- a/bayesnet/ensembles/BoostAODE.cc
+++ b/bayesnet/ensembles/BoostAODE.cc
@@ -4,11 +4,11 @@
 // SPDX-License-Identifier: MIT
 // ***************************************************************
 
+#include <random> 
 #include <set>
 #include <functional>
 #include <limits.h>
 #include <tuple>
-#include <folding.hpp>
 #include "BoostAODE.h"
 #include "lib/log/loguru.cpp"
 
@@ -17,37 +17,7 @@ namespace bayesnet {
     BoostAODE::BoostAODE(bool predict_voting) : Boost(predict_voting)
     {
     }
-    void BoostAODE::buildModel(const torch::Tensor& weights)
-    {
-        // Models shall be built in trainModel
-        models.clear();
-        significanceModels.clear();
-        n_models = 0;
-        // Prepare the validation dataset
-        auto y_ = dataset.index({ -1, "..." });
-        if (convergence) {
-            // Prepare train & validation sets from train data
-            auto fold = folding::StratifiedKFold(5, y_, 271);
-            auto [train, test] = fold.getFold(0);
-            auto train_t = torch::tensor(train);
-            auto test_t = torch::tensor(test);
-            // Get train and validation sets
-            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });
-            y_train = dataset.index({ -1, train_t });
-            X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });
-            y_test = dataset.index({ -1, test_t });
-            dataset = X_train;
-            m = X_train.size(1);
-            auto n_classes = states.at(className).size();
-            // Build dataset with train data
-            buildDataset(y_train);
-            metrics = Metrics(dataset, features, className, n_classes);
-        } else {
-            // Use all data to train
-            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), "..." });
-            y_train = y_;
-        }
-    }
+
     std::vector<int> BoostAODE::initializeModels()
     {
         torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
diff --git a/bayesnet/ensembles/BoostAODE.h b/bayesnet/ensembles/BoostAODE.h
index d6da098..8c613a9 100644
--- a/bayesnet/ensembles/BoostAODE.h
+++ b/bayesnet/ensembles/BoostAODE.h
@@ -17,7 +17,6 @@ namespace bayesnet {
         virtual ~BoostAODE() = default;
         std::vector<std::string> graph(const std::string& title = "BoostAODE") const override;
     protected:
-        void buildModel(const torch::Tensor& weights) override;
         void trainModel(const torch::Tensor& weights) override;
     private:
         std::vector<int> initializeModels();

From 2e3e0e0fc285f2363d8c6f2ed5c2a10cb4589d8c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Thu, 16 May 2024 11:17:21 +0200
Subject: [PATCH 05/21] Add selectKParis method

---
 bayesnet/ensembles/BoostA2DE.cc | 142 ++++++++++++++++++++++++++++++++
 bayesnet/ensembles/BoostA2DE.h  |   2 +
 bayesnet/ensembles/BoostAODE.cc |  22 +++--
 bayesnet/ensembles/BoostAODE.h  |   1 +
 bayesnet/utils/BayesMetrics.cc  |  38 +++++++++
 bayesnet/utils/BayesMetrics.h   |   5 +-
 tests/TestBoostA2DE.cc          |  34 +++++---
 tests/TestBoostAODE.cc          |   6 +-
 8 files changed, 224 insertions(+), 26 deletions(-)

diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
index 77f2971..7948923 100644
--- a/bayesnet/ensembles/BoostA2DE.cc
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -19,9 +19,151 @@ namespace bayesnet {
     BoostA2DE::BoostA2DE(bool predict_voting) : Boost(predict_voting)
     {
     }
+    std::vector<int> BoostA2DE::initializeModels()
+    {
+        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
+        std::vector<int> featuresSelected = featureSelection(weights_);
+        if (featuresSelected.size() < 2) {
+            notes.push_back("No features selected in initialization");
+            status = ERROR;
+            return std::vector<int>();
+        }
+        for (int i = 0; i < featuresSelected.size() - 1; i++) {
+            for (int j = i + 1; j < featuresSelected.size(); j++) {
+                auto parents = { featuresSelected[i], featuresSelected[j] };
+                std::unique_ptr<Classifier> model = std::make_unique<SPnDE>(parents);
+                model->fit(dataset, features, className, states, weights_);
+                models.push_back(std::move(model));
+                significanceModels.push_back(1.0); // They will be updated later in trainModel
+                n_models++;
+            }
+        }
+        notes.push_back("Used features in initialization: " + std::to_string(featuresSelected.size()) + " of " + std::to_string(features.size()) + " with " + select_features_algorithm);
+        return featuresSelected;
+    }
     void BoostA2DE::trainModel(const torch::Tensor& weights)
     {
+        //
+        // Logging setup
+        //
+        // loguru::set_thread_name("BoostA2DE");
+        // loguru::g_stderr_verbosity = loguru::Verbosity_OFF;
+        // loguru::add_file("boostA2DE.log", loguru::Truncate, loguru::Verbosity_MAX);
 
+        // // Algorithm based on the adaboost algorithm for classification
+        // // as explained in Ensemble methods (Zhi-Hua Zhou, 2012)
+        // fitted = true;
+        // double alpha_t = 0;
+        // torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
+        // bool finished = false;
+        // std::vector<int> featuresUsed;
+        // if (selectFeatures) {
+        //     featuresUsed = initializeModels();
+        //     auto ypred = predict(X_train);
+        //     std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
+        //     // Update significance of the models
+        //     for (int i = 0; i < n_models; ++i) {
+        //         significanceModels[i] = alpha_t;
+        //     }
+        //     if (finished) {
+        //         return;
+        //     }
+        // }
+        // int numItemsPack = 0; // The counter of the models inserted in the current pack
+        // // Variables to control the accuracy finish condition
+        // double priorAccuracy = 0.0;
+        // double improvement = 1.0;
+        // double convergence_threshold = 1e-4;
+        // int tolerance = 0; // number of times the accuracy is lower than the convergence_threshold
+        // // Step 0: Set the finish condition
+        // // epsilon sub t > 0.5 => inverse the weights policy
+        // // validation error is not decreasing
+        // // run out of features
+        // bool ascending = order_algorithm == Orders.ASC;
+        // std::mt19937 g{ 173 };
+        // while (!finished) {
+        //     // Step 1: Build ranking with mutual information
+        //     auto pairSelection = metrics.SelectKBestWeighted(weights_, ascending, n); // Get all the features sorted
+        //     if (order_algorithm == Orders.RAND) {
+        //         std::shuffle(featureSelection.begin(), featureSelection.end(), g);
+        //     }
+        //     // Remove used features
+        //     featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&](auto x)
+        //         { return std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),
+        //         end(featureSelection)
+        //     );
+        //     int k = bisection ? pow(2, tolerance) : 1;
+        //     int counter = 0; // The model counter of the current pack
+        //     VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
+        //     while (counter++ < k && featureSelection.size() > 0) {
+        //         auto feature = featureSelection[0];
+        //         featureSelection.erase(featureSelection.begin());
+        //         std::unique_ptr<Classifier> model;
+        //         model = std::make_unique<SPODE>(feature);
+        //         model->fit(dataset, features, className, states, weights_);
+        //         alpha_t = 0.0;
+        //         if (!block_update) {
+        //             auto ypred = model->predict(X_train);
+        //             // Step 3.1: Compute the classifier amout of say
+        //             std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
+        //         }
+        //         // Step 3.4: Store classifier and its accuracy to weigh its future vote
+        //         numItemsPack++;
+        //         featuresUsed.push_back(feature);
+        //         models.push_back(std::move(model));
+        //         significanceModels.push_back(alpha_t);
+        //         n_models++;
+        //         VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
+        //     }
+        //     if (block_update) {
+        //         std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);
+        //     }
+        //     if (convergence && !finished) {
+        //         auto y_val_predict = predict(X_test);
+        //         double accuracy = (y_val_predict == y_test).sum().item<double>() / (double)y_test.size(0);
+        //         if (priorAccuracy == 0) {
+        //             priorAccuracy = accuracy;
+        //         } else {
+        //             improvement = accuracy - priorAccuracy;
+        //         }
+        //         if (improvement < convergence_threshold) {
+        //             VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+        //             tolerance++;
+        //         } else {
+        //             VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+        //             tolerance = 0; // Reset the counter if the model performs better
+        //             numItemsPack = 0;
+        //         }
+        //         if (convergence_best) {
+        //             // Keep the best accuracy until now as the prior accuracy
+        //             priorAccuracy = std::max(accuracy, priorAccuracy);
+        //         } else {
+        //             // Keep the last accuray obtained as the prior accuracy
+        //             priorAccuracy = accuracy;
+        //         }
+        //     }
+        //     VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
+        //     finished = finished || tolerance > maxTolerance || featuresUsed.size() == features.size();
+        // }
+        // if (tolerance > maxTolerance) {
+        //     if (numItemsPack < n_models) {
+        //         notes.push_back("Convergence threshold reached & " + std::to_string(numItemsPack) + " models eliminated");
+        //         VLOG_SCOPE_F(4, "Convergence threshold reached & %d models eliminated of %d", numItemsPack, n_models);
+        //         for (int i = 0; i < numItemsPack; ++i) {
+        //             significanceModels.pop_back();
+        //             models.pop_back();
+        //             n_models--;
+        //         }
+        //     } else {
+        //         notes.push_back("Convergence threshold reached & 0 models eliminated");
+        //         VLOG_SCOPE_F(4, "Convergence threshold reached & 0 models eliminated n_models=%d numItemsPack=%d", n_models, numItemsPack);
+        //     }
+        // }
+        // if (featuresUsed.size() != features.size()) {
+        //     notes.push_back("Used features in train: " + std::to_string(featuresUsed.size()) + " of " + std::to_string(features.size()));
+        //     status = WARNING;
+        // }
+        // notes.push_back("Number of models: " + std::to_string(n_models));
     }
     std::vector<std::string> BoostA2DE::graph(const std::string& title) const
     {
diff --git a/bayesnet/ensembles/BoostA2DE.h b/bayesnet/ensembles/BoostA2DE.h
index 34cfe24..ff56b79 100644
--- a/bayesnet/ensembles/BoostA2DE.h
+++ b/bayesnet/ensembles/BoostA2DE.h
@@ -18,6 +18,8 @@ namespace bayesnet {
         std::vector<std::string> graph(const std::string& title = "BoostA2DE") const override;
     protected:
         void trainModel(const torch::Tensor& weights) override;
+    private:
+        std::vector<int> initializeModels();
     };
 }
 #endif
\ No newline at end of file
diff --git a/bayesnet/ensembles/BoostAODE.cc b/bayesnet/ensembles/BoostAODE.cc
index e4ea907..30137df 100644
--- a/bayesnet/ensembles/BoostAODE.cc
+++ b/bayesnet/ensembles/BoostAODE.cc
@@ -10,14 +10,12 @@
 #include <limits.h>
 #include <tuple>
 #include "BoostAODE.h"
-#include "lib/log/loguru.cpp"
 
 namespace bayesnet {
 
     BoostAODE::BoostAODE(bool predict_voting) : Boost(predict_voting)
     {
     }
-
     std::vector<int> BoostAODE::initializeModels()
     {
         torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
@@ -37,9 +35,9 @@ namespace bayesnet {
         //
         // Logging setup
         //
-        loguru::set_thread_name("BoostAODE");
-        loguru::g_stderr_verbosity = loguru::Verbosity_OFF;
-        loguru::add_file("boostAODE.log", loguru::Truncate, loguru::Verbosity_MAX);
+        // loguru::set_thread_name("BoostAODE");
+        // loguru::g_stderr_verbosity = loguru::Verbosity_OFF;
+        // loguru::add_file("boostAODE.log", loguru::Truncate, loguru::Verbosity_MAX);
 
         // Algorithm based on the adaboost algorithm for classification
         // as explained in Ensemble methods (Zhi-Hua Zhou, 2012)
@@ -85,7 +83,7 @@ namespace bayesnet {
             );
             int k = bisection ? pow(2, tolerance) : 1;
             int counter = 0; // The model counter of the current pack
-            VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
+            // VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
             while (counter++ < k && featureSelection.size() > 0) {
                 auto feature = featureSelection[0];
                 featureSelection.erase(featureSelection.begin());
@@ -104,7 +102,7 @@ namespace bayesnet {
                 models.push_back(std::move(model));
                 significanceModels.push_back(alpha_t);
                 n_models++;
-                VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
+                // VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
             }
             if (block_update) {
                 std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);
@@ -118,10 +116,10 @@ namespace bayesnet {
                     improvement = accuracy - priorAccuracy;
                 }
                 if (improvement < convergence_threshold) {
-                    VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+                    // VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
                     tolerance++;
                 } else {
-                    VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+                    // VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
                     tolerance = 0; // Reset the counter if the model performs better
                     numItemsPack = 0;
                 }
@@ -133,13 +131,13 @@ namespace bayesnet {
                     priorAccuracy = accuracy;
                 }
             }
-            VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
+            // VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
             finished = finished || tolerance > maxTolerance || featuresUsed.size() == features.size();
         }
         if (tolerance > maxTolerance) {
             if (numItemsPack < n_models) {
                 notes.push_back("Convergence threshold reached & " + std::to_string(numItemsPack) + " models eliminated");
-                VLOG_SCOPE_F(4, "Convergence threshold reached & %d models eliminated of %d", numItemsPack, n_models);
+                // VLOG_SCOPE_F(4, "Convergence threshold reached & %d models eliminated of %d", numItemsPack, n_models);
                 for (int i = 0; i < numItemsPack; ++i) {
                     significanceModels.pop_back();
                     models.pop_back();
@@ -147,7 +145,7 @@ namespace bayesnet {
                 }
             } else {
                 notes.push_back("Convergence threshold reached & 0 models eliminated");
-                VLOG_SCOPE_F(4, "Convergence threshold reached & 0 models eliminated n_models=%d numItemsPack=%d", n_models, numItemsPack);
+                // VLOG_SCOPE_F(4, "Convergence threshold reached & 0 models eliminated n_models=%d numItemsPack=%d", n_models, numItemsPack);
             }
         }
         if (featuresUsed.size() != features.size()) {
diff --git a/bayesnet/ensembles/BoostAODE.h b/bayesnet/ensembles/BoostAODE.h
index 8c613a9..e4eb250 100644
--- a/bayesnet/ensembles/BoostAODE.h
+++ b/bayesnet/ensembles/BoostAODE.h
@@ -10,6 +10,7 @@
 #include <vector>
 #include "bayesnet/classifiers/SPODE.h"
 #include "Boost.h"
+
 namespace bayesnet {
     class BoostAODE : public Boost {
     public:
diff --git a/bayesnet/utils/BayesMetrics.cc b/bayesnet/utils/BayesMetrics.cc
index c863704..43b0dec 100644
--- a/bayesnet/utils/BayesMetrics.cc
+++ b/bayesnet/utils/BayesMetrics.cc
@@ -30,6 +30,44 @@ namespace bayesnet {
         }
         samples.index_put_({ -1, "..." }, torch::tensor(labels, torch::kInt32));
     }
+    std::vector<std::pair<int, int>> Metrics::SelectKPairs(const torch::Tensor& weights, bool ascending, unsigned k)
+    {
+        // Return the K Best features 
+        auto n = features.size();
+        if (k == 0) {
+            k = n;
+        }
+        // compute scores
+        scoresKPairs.clear();
+        pairsKBest.clear();
+        auto label = samples.index({ -1, "..." });
+        // for (int i = 0; i < n; ++i) {
+        //     for (int j = i + 1; j < n; ++j) {
+        //         scoresKBest.push_back(mutualInformation(samples.index({ i, "..." }), samples.index({ j, "..." }), weights));
+        //         featuresKBest.push_back(i);
+        //         featuresKBest.push_back(j);
+        //     }
+        // }
+        // // sort & reduce scores and features
+        // if (ascending) {
+        //     sort(featuresKBest.begin(), featuresKBest.end(), [&](int i, int j)
+        //         { return scoresKBest[i] < scoresKBest[j]; });
+        //     sort(scoresKBest.begin(), scoresKBest.end(), std::less<double>());
+        //     if (k < n) {
+        //         for (int i = 0; i < n - k; ++i) {
+        //             featuresKBest.erase(featuresKBest.begin());
+        //             scoresKBest.erase(scoresKBest.begin());
+        //         }
+        //     }
+        // } else {
+        //     sort(featuresKBest.begin(), featuresKBest.end(), [&](int i, int j)
+        //         { return scoresKBest[i] > scoresKBest[j]; });
+        //     sort(scoresKBest.begin(), scoresKBest.end(), std::greater<double>());
+        //     featuresKBest.resize(k);
+        //     scoresKBest.resize(k);
+        // }
+        return pairsKBest;
+    }
     std::vector<int> Metrics::SelectKBestWeighted(const torch::Tensor& weights, bool ascending, unsigned k)
     {
         // Return the K Best features 
diff --git a/bayesnet/utils/BayesMetrics.h b/bayesnet/utils/BayesMetrics.h
index 6c20852..f24a496 100644
--- a/bayesnet/utils/BayesMetrics.h
+++ b/bayesnet/utils/BayesMetrics.h
@@ -16,6 +16,7 @@ namespace bayesnet {
         Metrics(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int classNumStates);
         Metrics(const std::vector<std::vector<int>>& vsamples, const std::vector<int>& labels, const std::vector<std::string>& features, const std::string& className, const int classNumStates);
         std::vector<int> SelectKBestWeighted(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);
+        std::vector<std::pair<int, int>> SelectKPairs(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);
         std::vector<double> getScoresKBest() const;
         double mutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);
         double conditionalMutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& labels, const torch::Tensor& weights);
@@ -41,7 +42,7 @@ namespace bayesnet {
             }
             return result;
         }
-        template <class T>
+            template <class T>
         T pop_first(std::vector<T>& v)
         {
             T temp = v[0];
@@ -52,6 +53,8 @@ namespace bayesnet {
         int classNumStates = 0;
         std::vector<double> scoresKBest;
         std::vector<int> featuresKBest; // sorted indices of the features
+        std::vector<std::pair<int, int>> pairsKBest; // sorted indices of the pairs
+        std::map<std::pair<int, int>, double> scoresKPairs;
         double conditionalEntropy(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);
     };
 }
diff --git a/tests/TestBoostA2DE.cc b/tests/TestBoostA2DE.cc
index 1be717d..4b870f7 100644
--- a/tests/TestBoostA2DE.cc
+++ b/tests/TestBoostA2DE.cc
@@ -8,21 +8,35 @@
 #include <catch2/catch_test_macros.hpp>
 #include <catch2/catch_approx.hpp>
 #include <catch2/generators/catch_generators.hpp>
+#include "bayesnet/utils/BayesMetrics.h"
 #include "bayesnet/ensembles/BoostA2DE.h"
 #include "TestUtils.h"
 
 
-TEST_CASE("Feature_select CFS", "[BoostA2DE]")
+TEST_CASE("Build basic model", "[BoostA2DE]")
 {
-    auto raw = RawDatasets("iris", true);
-    auto clf = bayesnet::BoostA2DE();
-    clf.setHyperparameters({ {"select_features", "CFS"} });
-    clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
-    REQUIRE(clf.getNumberOfNodes() == 0);
-    REQUIRE(clf.getNumberOfEdges() == 0);
-    // REQUIRE(clf.getNotes().size() == 2);
-    // REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 9 with CFS");
-    // REQUIRE(clf.getNotes()[1] == "Number of models: 9");
+    auto raw = RawDatasets("diabetes", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    auto expected = std::map<std::pair<int, int>, double>{
+        { { 0, 1 }, 0.0 },
+        { { 0, 2 }, 0.287696 },
+        { { 0, 3 }, 0.403749 },
+        { { 1, 2 }, 1.17112 },
+        { { 1, 3 }, 1.31852 },
+        { { 2, 3 }, 0.210068 },
+    };
+    for (int i = 0; i < raw.features.size() - 1; ++i) {
+        for (int j = i + 1; j < raw.features.size(); ++j) {
+            double result = metrics.conditionalMutualInformation(raw.dataset.index({ i, "..." }), raw.dataset.index({ j, "..." }), raw.yt, raw.weights);
+            // REQUIRE(result == Catch::Approx(expected.at({ i, j })).epsilon(raw.epsilon));
+            auto clf = bayesnet::SPnDE({ i, j });
+            clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+            auto score = clf.score(raw.Xt, raw.yt);
+            std::cout << " i " << i << " j " << j << " cmi "
+                << std::setw(8) << std::setprecision(6) << fixed << result
+                << " score = " << score << std::endl;
+        }
+    }
 }
 // TEST_CASE("Feature_select IWSS", "[BoostAODE]")
 // {
diff --git a/tests/TestBoostAODE.cc b/tests/TestBoostAODE.cc
index 4f92110..b434055 100644
--- a/tests/TestBoostAODE.cc
+++ b/tests/TestBoostAODE.cc
@@ -104,7 +104,7 @@ TEST_CASE("Order asc, desc & random", "[BoostAODE]")
         clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
         auto score = clf.score(raw.Xv, raw.yv);
         auto scoret = clf.score(raw.Xt, raw.yt);
-        INFO("BoostAODE order: " + order);
+        INFO("BoostAODE order: " << order);
         REQUIRE(score == Catch::Approx(scores[order]).epsilon(raw.epsilon));
         REQUIRE(scoret == Catch::Approx(scores[order]).epsilon(raw.epsilon));
     }
@@ -120,7 +120,7 @@ TEST_CASE("Oddities", "[BoostAODE]")
         { { "maxTolerance", 5 } },
     };
     for (const auto& hyper : bad_hyper.items()) {
-        INFO("BoostAODE hyper: " + hyper.value().dump());
+        INFO("BoostAODE hyper: " << hyper.value().dump());
         REQUIRE_THROWS_AS(clf.setHyperparameters(hyper.value()), std::invalid_argument);
     }
     REQUIRE_THROWS_AS(clf.setHyperparameters({ {"maxTolerance", 0 } }), std::invalid_argument);
@@ -131,7 +131,7 @@ TEST_CASE("Oddities", "[BoostAODE]")
         { { "select_features","FCBF" }, { "threshold", 1.01 } },
     };
     for (const auto& hyper : bad_hyper_fit.items()) {
-        INFO("BoostAODE hyper: " + hyper.value().dump());
+        INFO("BoostAODE hyper: " << hyper.value().dump());
         clf.setHyperparameters(hyper.value());
         REQUIRE_THROWS_AS(clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states), std::invalid_argument);
     }

From cccaa6e0af26571e6205c35bf9068c7089bb899d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Thu, 16 May 2024 13:46:38 +0200
Subject: [PATCH 06/21] Complete selectKPairs method & test

---
 bayesnet/utils/BayesMetrics.cc | 65 ++++++++++++++++++----------------
 bayesnet/utils/BayesMetrics.h  |  7 ++--
 tests/TestBayesMetrics.cc      | 54 ++++++++++++++++++++++++++++
 tests/TestBayesModels.cc       |  4 +--
 tests/TestBoostAODE.cc         |  1 +
 5 files changed, 96 insertions(+), 35 deletions(-)

diff --git a/bayesnet/utils/BayesMetrics.cc b/bayesnet/utils/BayesMetrics.cc
index 43b0dec..6083662 100644
--- a/bayesnet/utils/BayesMetrics.cc
+++ b/bayesnet/utils/BayesMetrics.cc
@@ -34,38 +34,40 @@ namespace bayesnet {
     {
         // Return the K Best features 
         auto n = features.size();
-        if (k == 0) {
-            k = n;
-        }
         // compute scores
         scoresKPairs.clear();
         pairsKBest.clear();
-        auto label = samples.index({ -1, "..." });
-        // for (int i = 0; i < n; ++i) {
-        //     for (int j = i + 1; j < n; ++j) {
-        //         scoresKBest.push_back(mutualInformation(samples.index({ i, "..." }), samples.index({ j, "..." }), weights));
-        //         featuresKBest.push_back(i);
-        //         featuresKBest.push_back(j);
-        //     }
-        // }
-        // // sort & reduce scores and features
-        // if (ascending) {
-        //     sort(featuresKBest.begin(), featuresKBest.end(), [&](int i, int j)
-        //         { return scoresKBest[i] < scoresKBest[j]; });
-        //     sort(scoresKBest.begin(), scoresKBest.end(), std::less<double>());
-        //     if (k < n) {
-        //         for (int i = 0; i < n - k; ++i) {
-        //             featuresKBest.erase(featuresKBest.begin());
-        //             scoresKBest.erase(scoresKBest.begin());
-        //         }
-        //     }
-        // } else {
-        //     sort(featuresKBest.begin(), featuresKBest.end(), [&](int i, int j)
-        //         { return scoresKBest[i] > scoresKBest[j]; });
-        //     sort(scoresKBest.begin(), scoresKBest.end(), std::greater<double>());
-        //     featuresKBest.resize(k);
-        //     scoresKBest.resize(k);
-        // }
+        auto labels = samples.index({ -1, "..." });
+        for (int i = 0; i < n - 1; ++i) {
+            for (int j = i + 1; j < n; ++j) {
+                auto key = std::make_pair(i, j);
+                auto value = conditionalMutualInformation(samples.index({ i, "..." }), samples.index({ j, "..." }), labels, weights);
+                scoresKPairs.push_back({ key, value });
+            }
+        }
+        // sort scores
+        if (ascending) {
+            sort(scoresKPairs.begin(), scoresKPairs.end(), [](auto& a, auto& b)
+                { return a.second < b.second; });
+
+        } else {
+            sort(scoresKPairs.begin(), scoresKPairs.end(), [](auto& a, auto& b)
+                { return a.second > b.second; });
+        }
+        for (auto& [pairs, score] : scoresKPairs) {
+            pairsKBest.push_back(pairs);
+        }
+        if (k != 0) {
+            if (ascending) {
+                for (int i = 0; i < n - k; ++i) {
+                    pairsKBest.erase(pairsKBest.begin());
+                    scoresKPairs.erase(scoresKPairs.begin());
+                }
+            } else {
+                pairsKBest.resize(k);
+                scoresKPairs.resize(k);
+            }
+        }
         return pairsKBest;
     }
     std::vector<int> Metrics::SelectKBestWeighted(const torch::Tensor& weights, bool ascending, unsigned k)
@@ -107,7 +109,10 @@ namespace bayesnet {
     {
         return scoresKBest;
     }
-
+    std::vector<std::pair<std::pair<int, int>, double>> Metrics::getScoresKPairs() const
+    {
+        return scoresKPairs;
+    }
     torch::Tensor Metrics::conditionalEdge(const torch::Tensor& weights)
     {
         auto result = std::vector<double>();
diff --git a/bayesnet/utils/BayesMetrics.h b/bayesnet/utils/BayesMetrics.h
index f24a496..0e58b82 100644
--- a/bayesnet/utils/BayesMetrics.h
+++ b/bayesnet/utils/BayesMetrics.h
@@ -18,6 +18,7 @@ namespace bayesnet {
         std::vector<int> SelectKBestWeighted(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);
         std::vector<std::pair<int, int>> SelectKPairs(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);
         std::vector<double> getScoresKBest() const;
+        std::vector<std::pair<std::pair<int, int>, double>> getScoresKPairs() const;
         double mutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);
         double conditionalMutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& labels, const torch::Tensor& weights);
         torch::Tensor conditionalEdge(const torch::Tensor& weights);
@@ -34,7 +35,7 @@ namespace bayesnet {
         std::vector<std::pair<T, T>> doCombinations(const std::vector<T>& source)
         {
             std::vector<std::pair<T, T>> result;
-            for (int i = 0; i < source.size(); ++i) {
+            for (int i = 0; i < source.size() - 1; ++i) {
                 T temp = source[i];
                 for (int j = i + 1; j < source.size(); ++j) {
                     result.push_back({ temp, source[j] });
@@ -42,7 +43,7 @@ namespace bayesnet {
             }
             return result;
         }
-            template <class T>
+        template <class T>
         T pop_first(std::vector<T>& v)
         {
             T temp = v[0];
@@ -54,7 +55,7 @@ namespace bayesnet {
         std::vector<double> scoresKBest;
         std::vector<int> featuresKBest; // sorted indices of the features
         std::vector<std::pair<int, int>> pairsKBest; // sorted indices of the pairs
-        std::map<std::pair<int, int>, double> scoresKPairs;
+        std::vector<std::pair<std::pair<int, int>, double>> scoresKPairs;
         double conditionalEntropy(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);
     };
 }
diff --git a/tests/TestBayesMetrics.cc b/tests/TestBayesMetrics.cc
index 96fddd9..b40e3f2 100644
--- a/tests/TestBayesMetrics.cc
+++ b/tests/TestBayesMetrics.cc
@@ -136,4 +136,58 @@ TEST_CASE("Conditional Mutual Information", "[Metrics]")
             REQUIRE(result == Catch::Approx(expected.at({ i, j })).epsilon(raw.epsilon));
         }
     }
+}
+TEST_CASE("Select K Pairs descending", "[Metrics]")
+{
+    auto raw = RawDatasets("iris", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    auto results = metrics.SelectKPairs(raw.weights, false);
+    auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
+        { { 1, 3 }, 1.31852 },
+        { { 1, 2 }, 1.17112 },
+        { { 0, 3 }, 0.403749 },
+        { { 0, 2 }, 0.287696 },
+        { { 2, 3 }, 0.210068 },
+        { { 0, 1 }, 0.0 },
+    };
+    auto scores = metrics.getScoresKPairs();
+    for (int i = 0; i < results.size(); ++i) {
+        auto result = results[i];
+        auto expect = expected[i];
+        auto score = scores[i];
+        REQUIRE(result.first == expect.first.first);
+        REQUIRE(result.second == expect.first.second);
+        REQUIRE(score.first.first == expect.first.first);
+        REQUIRE(score.first.second == expect.first.second);
+        REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
+    }
+    REQUIRE(results.size() == 6);
+    REQUIRE(scores.size() == 6);
+}
+TEST_CASE("Select K Pairs ascending", "[Metrics]")
+{
+    auto raw = RawDatasets("iris", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    auto results = metrics.SelectKPairs(raw.weights, true);
+    auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
+        { { 0, 1 }, 0.0 },
+        { { 2, 3 }, 0.210068 },
+        { { 0, 2 }, 0.287696 },
+        { { 0, 3 }, 0.403749 },
+        { { 1, 2 }, 1.17112 },
+        { { 1, 3 }, 1.31852 },
+    };
+    auto scores = metrics.getScoresKPairs();
+    for (int i = 0; i < results.size(); ++i) {
+        auto result = results[i];
+        auto expect = expected[i];
+        auto score = scores[i];
+        REQUIRE(result.first == expect.first.first);
+        REQUIRE(result.second == expect.first.second);
+        REQUIRE(score.first.first == expect.first.first);
+        REQUIRE(score.first.second == expect.first.second);
+        REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
+    }
+    REQUIRE(results.size() == 6);
+    REQUIRE(scores.size() == 6);
 }
\ No newline at end of file
diff --git a/tests/TestBayesModels.cc b/tests/TestBayesModels.cc
index 5c97f60..b5ee426 100644
--- a/tests/TestBayesModels.cc
+++ b/tests/TestBayesModels.cc
@@ -56,14 +56,14 @@ TEST_CASE("Test Bayesian Classifiers score & version", "[Models]")
             auto raw = RawDatasets(file_name, discretize);
             clf->fit(raw.Xt, raw.yt, raw.features, raw.className, raw.states);
             auto score = clf->score(raw.Xt, raw.yt);
-            INFO("Classifier: " + name + " File: " + file_name);
+            INFO("Classifier: " << name << " File: " << file_name);
             REQUIRE(score == Catch::Approx(scores[{file_name, name}]).epsilon(raw.epsilon));
             REQUIRE(clf->getStatus() == bayesnet::NORMAL);
         }
     }
     SECTION("Library check version")
     {
-        INFO("Checking version of " + name + " classifier");
+        INFO("Checking version of " << name << " classifier");
         REQUIRE(clf->getVersion() == ACTUAL_VERSION);
     }
     delete clf;
diff --git a/tests/TestBoostAODE.cc b/tests/TestBoostAODE.cc
index b434055..66fa7fb 100644
--- a/tests/TestBoostAODE.cc
+++ b/tests/TestBoostAODE.cc
@@ -8,6 +8,7 @@
 #include <catch2/catch_test_macros.hpp>
 #include <catch2/catch_approx.hpp>
 #include <catch2/generators/catch_generators.hpp>
+#include <catch2/matchers/catch_matchers.hpp>
 #include "bayesnet/ensembles/BoostAODE.h"
 #include "TestUtils.h"
 

From 677ec5613d825acf4d5fe43accca0bf6b686366e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Thu, 16 May 2024 14:18:45 +0200
Subject: [PATCH 07/21] Add features used to selectKPairs

---
 bayesnet/ensembles/BoostA2DE.cc | 190 ++++++++++++++++----------------
 bayesnet/utils/BayesMetrics.cc  |  13 ++-
 bayesnet/utils/BayesMetrics.h   |   2 +-
 tests/TestBayesMetrics.cc       |  79 ++++++++++++-
 4 files changed, 183 insertions(+), 101 deletions(-)

diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
index 7948923..887c1a2 100644
--- a/bayesnet/ensembles/BoostA2DE.cc
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -50,101 +50,101 @@ namespace bayesnet {
         // loguru::g_stderr_verbosity = loguru::Verbosity_OFF;
         // loguru::add_file("boostA2DE.log", loguru::Truncate, loguru::Verbosity_MAX);
 
-        // // Algorithm based on the adaboost algorithm for classification
-        // // as explained in Ensemble methods (Zhi-Hua Zhou, 2012)
-        // fitted = true;
-        // double alpha_t = 0;
-        // torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
-        // bool finished = false;
-        // std::vector<int> featuresUsed;
-        // if (selectFeatures) {
-        //     featuresUsed = initializeModels();
-        //     auto ypred = predict(X_train);
-        //     std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
-        //     // Update significance of the models
-        //     for (int i = 0; i < n_models; ++i) {
-        //         significanceModels[i] = alpha_t;
-        //     }
-        //     if (finished) {
-        //         return;
-        //     }
-        // }
-        // int numItemsPack = 0; // The counter of the models inserted in the current pack
-        // // Variables to control the accuracy finish condition
-        // double priorAccuracy = 0.0;
-        // double improvement = 1.0;
-        // double convergence_threshold = 1e-4;
-        // int tolerance = 0; // number of times the accuracy is lower than the convergence_threshold
-        // // Step 0: Set the finish condition
-        // // epsilon sub t > 0.5 => inverse the weights policy
-        // // validation error is not decreasing
-        // // run out of features
-        // bool ascending = order_algorithm == Orders.ASC;
-        // std::mt19937 g{ 173 };
-        // while (!finished) {
-        //     // Step 1: Build ranking with mutual information
-        //     auto pairSelection = metrics.SelectKBestWeighted(weights_, ascending, n); // Get all the features sorted
-        //     if (order_algorithm == Orders.RAND) {
-        //         std::shuffle(featureSelection.begin(), featureSelection.end(), g);
-        //     }
-        //     // Remove used features
-        //     featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&](auto x)
-        //         { return std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),
-        //         end(featureSelection)
-        //     );
-        //     int k = bisection ? pow(2, tolerance) : 1;
-        //     int counter = 0; // The model counter of the current pack
-        //     VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
-        //     while (counter++ < k && featureSelection.size() > 0) {
-        //         auto feature = featureSelection[0];
-        //         featureSelection.erase(featureSelection.begin());
-        //         std::unique_ptr<Classifier> model;
-        //         model = std::make_unique<SPODE>(feature);
-        //         model->fit(dataset, features, className, states, weights_);
-        //         alpha_t = 0.0;
-        //         if (!block_update) {
-        //             auto ypred = model->predict(X_train);
-        //             // Step 3.1: Compute the classifier amout of say
-        //             std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
-        //         }
-        //         // Step 3.4: Store classifier and its accuracy to weigh its future vote
-        //         numItemsPack++;
-        //         featuresUsed.push_back(feature);
-        //         models.push_back(std::move(model));
-        //         significanceModels.push_back(alpha_t);
-        //         n_models++;
-        //         VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
-        //     }
-        //     if (block_update) {
-        //         std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);
-        //     }
-        //     if (convergence && !finished) {
-        //         auto y_val_predict = predict(X_test);
-        //         double accuracy = (y_val_predict == y_test).sum().item<double>() / (double)y_test.size(0);
-        //         if (priorAccuracy == 0) {
-        //             priorAccuracy = accuracy;
-        //         } else {
-        //             improvement = accuracy - priorAccuracy;
-        //         }
-        //         if (improvement < convergence_threshold) {
-        //             VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
-        //             tolerance++;
-        //         } else {
-        //             VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
-        //             tolerance = 0; // Reset the counter if the model performs better
-        //             numItemsPack = 0;
-        //         }
-        //         if (convergence_best) {
-        //             // Keep the best accuracy until now as the prior accuracy
-        //             priorAccuracy = std::max(accuracy, priorAccuracy);
-        //         } else {
-        //             // Keep the last accuray obtained as the prior accuracy
-        //             priorAccuracy = accuracy;
-        //         }
-        //     }
-        //     VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
-        //     finished = finished || tolerance > maxTolerance || featuresUsed.size() == features.size();
-        // }
+        // Algorithm based on the adaboost algorithm for classification
+        // as explained in Ensemble methods (Zhi-Hua Zhou, 2012)
+        fitted = true;
+        double alpha_t = 0;
+        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);
+        bool finished = false;
+        std::vector<int> featuresUsed;
+        if (selectFeatures) {
+            featuresUsed = initializeModels();
+            auto ypred = predict(X_train);
+            std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
+            // Update significance of the models
+            for (int i = 0; i < n_models; ++i) {
+                significanceModels[i] = alpha_t;
+            }
+            if (finished) {
+                return;
+            }
+        }
+        int numItemsPack = 0; // The counter of the models inserted in the current pack
+        // Variables to control the accuracy finish condition
+        double priorAccuracy = 0.0;
+        double improvement = 1.0;
+        double convergence_threshold = 1e-4;
+        int tolerance = 0; // number of times the accuracy is lower than the convergence_threshold
+        // Step 0: Set the finish condition
+        // epsilon sub t > 0.5 => inverse the weights policy
+        // validation error is not decreasing
+        // run out of features
+        bool ascending = order_algorithm == Orders.ASC;
+        std::mt19937 g{ 173 };
+        while (!finished) {
+            // Step 1: Build ranking with mutual information
+            auto pairSelection = metrics.SelectKPairs(weights_, featuresUsed, ascending, 0); // Get all the pairs sorted
+            if (order_algorithm == Orders.RAND) {
+                std::shuffle(pairSelection.begin(), pairSelection.end(), g);
+            }
+            //     // Remove used features
+            //     featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&](auto x)
+            //         { return std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),
+            //         end(featureSelection)
+            //     );
+            //     int k = bisection ? pow(2, tolerance) : 1;
+            //     int counter = 0; // The model counter of the current pack
+            //     VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
+            //     while (counter++ < k && featureSelection.size() > 0) {
+            //         auto feature = featureSelection[0];
+            //         featureSelection.erase(featureSelection.begin());
+            //         std::unique_ptr<Classifier> model;
+            //         model = std::make_unique<SPODE>(feature);
+            //         model->fit(dataset, features, className, states, weights_);
+            //         alpha_t = 0.0;
+            //         if (!block_update) {
+            //             auto ypred = model->predict(X_train);
+            //             // Step 3.1: Compute the classifier amout of say
+            //             std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
+            //         }
+            //         // Step 3.4: Store classifier and its accuracy to weigh its future vote
+            //         numItemsPack++;
+            //         featuresUsed.push_back(feature);
+            //         models.push_back(std::move(model));
+            //         significanceModels.push_back(alpha_t);
+            //         n_models++;
+            //         VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
+            //     }
+            //     if (block_update) {
+            //         std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);
+            //     }
+            //     if (convergence && !finished) {
+            //         auto y_val_predict = predict(X_test);
+            //         double accuracy = (y_val_predict == y_test).sum().item<double>() / (double)y_test.size(0);
+            //         if (priorAccuracy == 0) {
+            //             priorAccuracy = accuracy;
+            //         } else {
+            //             improvement = accuracy - priorAccuracy;
+            //         }
+            //         if (improvement < convergence_threshold) {
+            //             VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+            //             tolerance++;
+            //         } else {
+            //             VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+            //             tolerance = 0; // Reset the counter if the model performs better
+            //             numItemsPack = 0;
+            //         }
+            //         if (convergence_best) {
+            //             // Keep the best accuracy until now as the prior accuracy
+            //             priorAccuracy = std::max(accuracy, priorAccuracy);
+            //         } else {
+            //             // Keep the last accuray obtained as the prior accuracy
+            //             priorAccuracy = accuracy;
+            //         }
+            //     }
+            //     VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
+            //     finished = finished || tolerance > maxTolerance || featuresUsed.size() == features.size();
+        }
         // if (tolerance > maxTolerance) {
         //     if (numItemsPack < n_models) {
         //         notes.push_back("Convergence threshold reached & " + std::to_string(numItemsPack) + " models eliminated");
diff --git a/bayesnet/utils/BayesMetrics.cc b/bayesnet/utils/BayesMetrics.cc
index 6083662..85645c7 100644
--- a/bayesnet/utils/BayesMetrics.cc
+++ b/bayesnet/utils/BayesMetrics.cc
@@ -30,7 +30,7 @@ namespace bayesnet {
         }
         samples.index_put_({ -1, "..." }, torch::tensor(labels, torch::kInt32));
     }
-    std::vector<std::pair<int, int>> Metrics::SelectKPairs(const torch::Tensor& weights, bool ascending, unsigned k)
+    std::vector<std::pair<int, int>> Metrics::SelectKPairs(const torch::Tensor& weights, std::vector<int>& featuresExcluded, bool ascending, unsigned k)
     {
         // Return the K Best features 
         auto n = features.size();
@@ -39,7 +39,13 @@ namespace bayesnet {
         pairsKBest.clear();
         auto labels = samples.index({ -1, "..." });
         for (int i = 0; i < n - 1; ++i) {
+            if (std::find(featuresExcluded.begin(), featuresExcluded.end(), i) != featuresExcluded.end()) {
+                continue;
+            }
             for (int j = i + 1; j < n; ++j) {
+                if (std::find(featuresExcluded.begin(), featuresExcluded.end(), j) != featuresExcluded.end()) {
+                    continue;
+                }
                 auto key = std::make_pair(i, j);
                 auto value = conditionalMutualInformation(samples.index({ i, "..." }), samples.index({ j, "..." }), labels, weights);
                 scoresKPairs.push_back({ key, value });
@@ -57,9 +63,10 @@ namespace bayesnet {
         for (auto& [pairs, score] : scoresKPairs) {
             pairsKBest.push_back(pairs);
         }
-        if (k != 0) {
+        if (k != 0 && k < pairsKBest.size()) {
             if (ascending) {
-                for (int i = 0; i < n - k; ++i) {
+                int limit = pairsKBest.size() - k;
+                for (int i = 0; i < limit; i++) {
                     pairsKBest.erase(pairsKBest.begin());
                     scoresKPairs.erase(scoresKPairs.begin());
                 }
diff --git a/bayesnet/utils/BayesMetrics.h b/bayesnet/utils/BayesMetrics.h
index 0e58b82..5b62a72 100644
--- a/bayesnet/utils/BayesMetrics.h
+++ b/bayesnet/utils/BayesMetrics.h
@@ -16,7 +16,7 @@ namespace bayesnet {
         Metrics(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int classNumStates);
         Metrics(const std::vector<std::vector<int>>& vsamples, const std::vector<int>& labels, const std::vector<std::string>& features, const std::string& className, const int classNumStates);
         std::vector<int> SelectKBestWeighted(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);
-        std::vector<std::pair<int, int>> SelectKPairs(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);
+        std::vector<std::pair<int, int>> SelectKPairs(const torch::Tensor& weights, std::vector<int>& featuresExcluded, bool ascending = false, unsigned k = 0);
         std::vector<double> getScoresKBest() const;
         std::vector<std::pair<std::pair<int, int>, double>> getScoresKPairs() const;
         double mutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);
diff --git a/tests/TestBayesMetrics.cc b/tests/TestBayesMetrics.cc
index b40e3f2..755a4a0 100644
--- a/tests/TestBayesMetrics.cc
+++ b/tests/TestBayesMetrics.cc
@@ -141,7 +141,8 @@ TEST_CASE("Select K Pairs descending", "[Metrics]")
 {
     auto raw = RawDatasets("iris", true);
     bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
-    auto results = metrics.SelectKPairs(raw.weights, false);
+    std::vector<int> empty;
+    auto results = metrics.SelectKPairs(raw.weights, empty, false);
     auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
         { { 1, 3 }, 1.31852 },
         { { 1, 2 }, 1.17112 },
@@ -168,7 +169,8 @@ TEST_CASE("Select K Pairs ascending", "[Metrics]")
 {
     auto raw = RawDatasets("iris", true);
     bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
-    auto results = metrics.SelectKPairs(raw.weights, true);
+    std::vector<int> empty;
+    auto results = metrics.SelectKPairs(raw.weights, empty, true);
     auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
         { { 0, 1 }, 0.0 },
         { { 2, 3 }, 0.210068 },
@@ -190,4 +192,77 @@ TEST_CASE("Select K Pairs ascending", "[Metrics]")
     }
     REQUIRE(results.size() == 6);
     REQUIRE(scores.size() == 6);
+}
+TEST_CASE("Select K Pairs with features excluded", "[Metrics]")
+{
+    auto raw = RawDatasets("iris", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    std::vector<int> excluded = { 0, 3 };
+    auto results = metrics.SelectKPairs(raw.weights, excluded, true);
+    auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
+        { { 1, 2 }, 1.17112 },
+    };
+    auto scores = metrics.getScoresKPairs();
+    for (int i = 0; i < results.size(); ++i) {
+        auto result = results[i];
+        auto expect = expected[i];
+        auto score = scores[i];
+        REQUIRE(result.first == expect.first.first);
+        REQUIRE(result.second == expect.first.second);
+        REQUIRE(score.first.first == expect.first.first);
+        REQUIRE(score.first.second == expect.first.second);
+        REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
+    }
+    REQUIRE(results.size() == 1);
+    REQUIRE(scores.size() == 1);
+}
+TEST_CASE("Select K Pairs with number of pairs descending", "[Metrics]")
+{
+    auto raw = RawDatasets("iris", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    std::vector<int> empty;
+    auto results = metrics.SelectKPairs(raw.weights, empty, false, 3);
+    auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
+        { { 1, 3 }, 1.31852 },
+        { { 1, 2 }, 1.17112 },
+        { { 0, 3 }, 0.403749 }
+    };
+    auto scores = metrics.getScoresKPairs();
+    REQUIRE(results.size() == 3);
+    REQUIRE(scores.size() == 3);
+    for (int i = 0; i < results.size(); ++i) {
+        auto result = results[i];
+        auto expect = expected[i];
+        auto score = scores[i];
+        REQUIRE(result.first == expect.first.first);
+        REQUIRE(result.second == expect.first.second);
+        REQUIRE(score.first.first == expect.first.first);
+        REQUIRE(score.first.second == expect.first.second);
+        REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
+    }
+}
+TEST_CASE("Select K Pairs with number of pairs ascending", "[Metrics]")
+{
+    auto raw = RawDatasets("iris", true);
+    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
+    std::vector<int> empty;
+    auto results = metrics.SelectKPairs(raw.weights, empty, true, 3);
+    auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
+        { { 0, 3 }, 0.403749 },
+        { { 1, 2 }, 1.17112 },
+        { { 1, 3 }, 1.31852 }
+    };
+    auto scores = metrics.getScoresKPairs();
+    REQUIRE(results.size() == 3);
+    REQUIRE(scores.size() == 3);
+    for (int i = 0; i < results.size(); ++i) {
+        auto result = results[i];
+        auto expect = expected[i];
+        auto score = scores[i];
+        REQUIRE(result.first == expect.first.first);
+        REQUIRE(result.second == expect.first.second);
+        REQUIRE(score.first.first == expect.first.first);
+        REQUIRE(score.first.second == expect.first.second);
+        REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
+    }
 }
\ No newline at end of file

From 80043d5181355739b80e88097fc1d9f2f8ea8ba0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Thu, 16 May 2024 14:32:59 +0200
Subject: [PATCH 08/21] First approach to BoostA2DE::trainModel

---
 bayesnet/ensembles/BoostA2DE.cc | 149 +++++++++++++++-----------------
 1 file changed, 72 insertions(+), 77 deletions(-)

diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
index 887c1a2..209173b 100644
--- a/bayesnet/ensembles/BoostA2DE.cc
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -81,89 +81,84 @@ namespace bayesnet {
         // run out of features
         bool ascending = order_algorithm == Orders.ASC;
         std::mt19937 g{ 173 };
+        std::vector<std::pair<int, int>> pairSelection;
         while (!finished) {
             // Step 1: Build ranking with mutual information
-            auto pairSelection = metrics.SelectKPairs(weights_, featuresUsed, ascending, 0); // Get all the pairs sorted
+            pairSelection = metrics.SelectKPairs(weights_, featuresUsed, ascending, 0); // Get all the pairs sorted
             if (order_algorithm == Orders.RAND) {
                 std::shuffle(pairSelection.begin(), pairSelection.end(), g);
             }
-            //     // Remove used features
-            //     featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&](auto x)
-            //         { return std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),
-            //         end(featureSelection)
-            //     );
-            //     int k = bisection ? pow(2, tolerance) : 1;
-            //     int counter = 0; // The model counter of the current pack
-            //     VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
-            //     while (counter++ < k && featureSelection.size() > 0) {
-            //         auto feature = featureSelection[0];
-            //         featureSelection.erase(featureSelection.begin());
-            //         std::unique_ptr<Classifier> model;
-            //         model = std::make_unique<SPODE>(feature);
-            //         model->fit(dataset, features, className, states, weights_);
-            //         alpha_t = 0.0;
-            //         if (!block_update) {
-            //             auto ypred = model->predict(X_train);
-            //             // Step 3.1: Compute the classifier amout of say
-            //             std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
-            //         }
-            //         // Step 3.4: Store classifier and its accuracy to weigh its future vote
-            //         numItemsPack++;
-            //         featuresUsed.push_back(feature);
-            //         models.push_back(std::move(model));
-            //         significanceModels.push_back(alpha_t);
-            //         n_models++;
-            //         VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
-            //     }
-            //     if (block_update) {
-            //         std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);
-            //     }
-            //     if (convergence && !finished) {
-            //         auto y_val_predict = predict(X_test);
-            //         double accuracy = (y_val_predict == y_test).sum().item<double>() / (double)y_test.size(0);
-            //         if (priorAccuracy == 0) {
-            //             priorAccuracy = accuracy;
-            //         } else {
-            //             improvement = accuracy - priorAccuracy;
-            //         }
-            //         if (improvement < convergence_threshold) {
-            //             VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
-            //             tolerance++;
-            //         } else {
-            //             VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
-            //             tolerance = 0; // Reset the counter if the model performs better
-            //             numItemsPack = 0;
-            //         }
-            //         if (convergence_best) {
-            //             // Keep the best accuracy until now as the prior accuracy
-            //             priorAccuracy = std::max(accuracy, priorAccuracy);
-            //         } else {
-            //             // Keep the last accuray obtained as the prior accuracy
-            //             priorAccuracy = accuracy;
-            //         }
-            //     }
-            //     VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
-            //     finished = finished || tolerance > maxTolerance || featuresUsed.size() == features.size();
+            int k = bisection ? pow(2, tolerance) : 1;
+            int counter = 0; // The model counter of the current pack
+            // VLOG_SCOPE_F(1, "counter=%d k=%d featureSelection.size: %zu", counter, k, featureSelection.size());
+            while (counter++ < k && pairSelection.size() > 0) {
+                auto feature_pair = pairSelection[0];
+                pairSelection.erase(pairSelection.begin());
+                std::unique_ptr<Classifier> model;
+                model = std::make_unique<SPnDE>(std::vector<int>({ feature_pair.first, feature_pair.second }));
+                model->fit(dataset, features, className, states, weights_);
+                alpha_t = 0.0;
+                if (!block_update) {
+                    auto ypred = model->predict(X_train);
+                    // Step 3.1: Compute the classifier amout of say
+                    std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);
+                }
+                // Step 3.4: Store classifier and its accuracy to weigh its future vote
+                numItemsPack++;
+                models.push_back(std::move(model));
+                significanceModels.push_back(alpha_t);
+                n_models++;
+                // VLOG_SCOPE_F(2, "numItemsPack: %d n_models: %d featuresUsed: %zu", numItemsPack, n_models, featuresUsed.size());
+            }
+            if (block_update) {
+                std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);
+            }
+            if (convergence && !finished) {
+                auto y_val_predict = predict(X_test);
+                double accuracy = (y_val_predict == y_test).sum().item<double>() / (double)y_test.size(0);
+                if (priorAccuracy == 0) {
+                    priorAccuracy = accuracy;
+                } else {
+                    improvement = accuracy - priorAccuracy;
+                }
+                if (improvement < convergence_threshold) {
+                    // VLOG_SCOPE_F(3, "  (improvement<threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+                    tolerance++;
+                } else {
+                    // VLOG_SCOPE_F(3, "* (improvement>=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f", tolerance, numItemsPack, improvement, priorAccuracy, accuracy);
+                    tolerance = 0; // Reset the counter if the model performs better
+                    numItemsPack = 0;
+                }
+                if (convergence_best) {
+                    // Keep the best accuracy until now as the prior accuracy
+                    priorAccuracy = std::max(accuracy, priorAccuracy);
+                } else {
+                    // Keep the last accuray obtained as the prior accuracy
+                    priorAccuracy = accuracy;
+                }
+            }
+            // VLOG_SCOPE_F(1, "tolerance: %d featuresUsed.size: %zu features.size: %zu", tolerance, featuresUsed.size(), features.size());
+            finished = finished || tolerance > maxTolerance || pairSelection.size() == 0;
         }
-        // if (tolerance > maxTolerance) {
-        //     if (numItemsPack < n_models) {
-        //         notes.push_back("Convergence threshold reached & " + std::to_string(numItemsPack) + " models eliminated");
-        //         VLOG_SCOPE_F(4, "Convergence threshold reached & %d models eliminated of %d", numItemsPack, n_models);
-        //         for (int i = 0; i < numItemsPack; ++i) {
-        //             significanceModels.pop_back();
-        //             models.pop_back();
-        //             n_models--;
-        //         }
-        //     } else {
-        //         notes.push_back("Convergence threshold reached & 0 models eliminated");
-        //         VLOG_SCOPE_F(4, "Convergence threshold reached & 0 models eliminated n_models=%d numItemsPack=%d", n_models, numItemsPack);
-        //     }
-        // }
-        // if (featuresUsed.size() != features.size()) {
-        //     notes.push_back("Used features in train: " + std::to_string(featuresUsed.size()) + " of " + std::to_string(features.size()));
-        //     status = WARNING;
-        // }
-        // notes.push_back("Number of models: " + std::to_string(n_models));
+        if (tolerance > maxTolerance) {
+            if (numItemsPack < n_models) {
+                notes.push_back("Convergence threshold reached & " + std::to_string(numItemsPack) + " models eliminated");
+                // VLOG_SCOPE_F(4, "Convergence threshold reached & %d models eliminated of %d", numItemsPack, n_models);
+                for (int i = 0; i < numItemsPack; ++i) {
+                    significanceModels.pop_back();
+                    models.pop_back();
+                    n_models--;
+                }
+            } else {
+                notes.push_back("Convergence threshold reached & 0 models eliminated");
+                // VLOG_SCOPE_F(4, "Convergence threshold reached & 0 models eliminated n_models=%d numItemsPack=%d", n_models, numItemsPack);
+            }
+        }
+        if (pairSelection.size() > 0) {
+            notes.push_back("Used pairs not used in train: " + std::to_string(pairSelection.size()));
+            status = WARNING;
+        }
+        notes.push_back("Number of models: " + std::to_string(n_models));
     }
     std::vector<std::string> BoostA2DE::graph(const std::string& title) const
     {

From 291ba0fb0e329eb12297d1c7dce9f3fc5928fcdf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Thu, 16 May 2024 16:33:33 +0200
Subject: [PATCH 09/21] First functional BoostA2DE with its 1st test

---
 tests/TestBoostA2DE.cc | 31 ++++++++++---------------------
 1 file changed, 10 insertions(+), 21 deletions(-)

diff --git a/tests/TestBoostA2DE.cc b/tests/TestBoostA2DE.cc
index 4b870f7..b0f6b4a 100644
--- a/tests/TestBoostA2DE.cc
+++ b/tests/TestBoostA2DE.cc
@@ -16,27 +16,16 @@
 TEST_CASE("Build basic model", "[BoostA2DE]")
 {
     auto raw = RawDatasets("diabetes", true);
-    bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
-    auto expected = std::map<std::pair<int, int>, double>{
-        { { 0, 1 }, 0.0 },
-        { { 0, 2 }, 0.287696 },
-        { { 0, 3 }, 0.403749 },
-        { { 1, 2 }, 1.17112 },
-        { { 1, 3 }, 1.31852 },
-        { { 2, 3 }, 0.210068 },
-    };
-    for (int i = 0; i < raw.features.size() - 1; ++i) {
-        for (int j = i + 1; j < raw.features.size(); ++j) {
-            double result = metrics.conditionalMutualInformation(raw.dataset.index({ i, "..." }), raw.dataset.index({ j, "..." }), raw.yt, raw.weights);
-            // REQUIRE(result == Catch::Approx(expected.at({ i, j })).epsilon(raw.epsilon));
-            auto clf = bayesnet::SPnDE({ i, j });
-            clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
-            auto score = clf.score(raw.Xt, raw.yt);
-            std::cout << " i " << i << " j " << j << " cmi "
-                << std::setw(8) << std::setprecision(6) << fixed << result
-                << " score = " << score << std::endl;
-        }
-    }
+    auto clf = bayesnet::BoostA2DE();
+    clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
+    REQUIRE(clf.getNumberOfNodes() == 342);
+    REQUIRE(clf.getNumberOfEdges() == 684);
+    REQUIRE(clf.getNotes().size() == 3);
+    REQUIRE(clf.getNotes()[0] == "Convergence threshold reached & 15 models eliminated");
+    REQUIRE(clf.getNotes()[1] == "Used pairs not used in train: 20");
+    REQUIRE(clf.getNotes()[2] == "Number of models: 38");
+    auto score = clf.score(raw.Xv, raw.yv);
+    REQUIRE(score == Catch::Approx(0.919271).epsilon(raw.epsilon));
 }
 // TEST_CASE("Feature_select IWSS", "[BoostAODE]")
 // {

From 2584e8294d3fe86844c63788942e430b75cb0f98 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Monta=C3=B1ana=20G=C3=B3mez?=
 <rmontanana@gmail.com>
Date: Fri, 17 May 2024 11:15:45 +0200
Subject: [PATCH 10/21] Force mutual information methods to be at least 0 There
 were cases where a tiny negative number was returned (less than -1e-7) Fix
 mst glass test that is affected with this change

---
 bayesnet/ensembles/BoostA2DE.cc |  2 +-
 bayesnet/utils/BayesMetrics.cc  | 17 ++++-------------
 tests/TestBayesMetrics.cc       |  5 ++---
 tests/TestBoostA2DE.cc          |  2 +-
 4 files changed, 8 insertions(+), 18 deletions(-)

diff --git a/bayesnet/ensembles/BoostA2DE.cc b/bayesnet/ensembles/BoostA2DE.cc
index 209173b..4738358 100644
--- a/bayesnet/ensembles/BoostA2DE.cc
+++ b/bayesnet/ensembles/BoostA2DE.cc
@@ -155,7 +155,7 @@ namespace bayesnet {
             }
         }
         if (pairSelection.size() > 0) {
-            notes.push_back("Used pairs not used in train: " + std::to_string(pairSelection.size()));
+            notes.push_back("Pairs not used in train: " + std::to_string(pairSelection.size()));
             status = WARNING;
         }
         notes.push_back("Number of models: " + std::to_string(n_models));
diff --git a/bayesnet/utils/BayesMetrics.cc b/bayesnet/utils/BayesMetrics.cc
index 85645c7..b4b12cc 100644
--- a/bayesnet/utils/BayesMetrics.cc
+++ b/bayesnet/utils/BayesMetrics.cc
@@ -198,24 +198,20 @@ namespace bayesnet {
         }
         return entropyValue;
     }
-    // H(Y|X,C) = sum_{x in X, c in C} p(x,c) H(Y|X=x,C=c)
+    // H(X|Y,C) = sum_{y in Y, c in C} p(x,c) H(X|Y=y,C=c)
     double Metrics::conditionalEntropy(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& labels, const torch::Tensor& weights)
     {
         // Ensure the tensors are of the same length
         assert(firstFeature.size(0) == secondFeature.size(0) && firstFeature.size(0) == labels.size(0) && firstFeature.size(0) == weights.size(0));
-
         // Convert tensors to vectors for easier processing
         auto firstFeatureData = firstFeature.accessor<int, 1>();
         auto secondFeatureData = secondFeature.accessor<int, 1>();
         auto labelsData = labels.accessor<int, 1>();
         auto weightsData = weights.accessor<double, 1>();
-
         int numSamples = firstFeature.size(0);
-
         // Maps for joint and marginal probabilities
         std::map<std::tuple<int, int, int>, double> jointCount;
         std::map<std::tuple<int, int>, double> marginalCount;
-
         // Compute joint and marginal counts
         for (int i = 0; i < numSamples; ++i) {
             auto keyJoint = std::make_tuple(firstFeatureData[i], labelsData[i], secondFeatureData[i]);
@@ -224,34 +220,29 @@ namespace bayesnet {
             jointCount[keyJoint] += weightsData[i];
             marginalCount[keyMarginal] += weightsData[i];
         }
-
         // Total weight sum
         double totalWeight = torch::sum(weights).item<double>();
         if (totalWeight == 0)
             return 0;
-
         // Compute the conditional entropy
         double conditionalEntropy = 0.0;
-
         for (const auto& [keyJoint, jointFreq] : jointCount) {
             auto [x, c, y] = keyJoint;
             auto keyMarginal = std::make_tuple(x, c);
-
             //double p_xc = marginalCount[keyMarginal] / totalWeight;
             double p_y_given_xc = jointFreq / marginalCount[keyMarginal];
-
             if (p_y_given_xc > 0) {
                 conditionalEntropy -= (jointFreq / totalWeight) * std::log(p_y_given_xc);
             }
         }
         return conditionalEntropy;
     }
-    // I(X;Y) = H(Y) - H(Y|X)
+    // I(X;Y) = H(Y) - H(Y|X) ; I(X;Y) >= 0
     double Metrics::mutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights)
     {
-        return entropy(firstFeature, weights) - conditionalEntropy(firstFeature, secondFeature, weights);
+        return std::max(entropy(firstFeature, weights) - conditionalEntropy(firstFeature, secondFeature, weights), 0.0);
     }
-    // I(X;Y|C) = H(Y|C) - H(Y|X,C)
+    // I(X;Y|C) = H(X|C) - H(X|Y,C) >= 0
     double Metrics::conditionalMutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& labels, const torch::Tensor& weights)
     {
         return std::max(conditionalEntropy(firstFeature, labels, weights) - conditionalEntropy(firstFeature, secondFeature, labels, weights), 0.0);
diff --git a/tests/TestBayesMetrics.cc b/tests/TestBayesMetrics.cc
index 755a4a0..f2eeebf 100644
--- a/tests/TestBayesMetrics.cc
+++ b/tests/TestBayesMetrics.cc
@@ -11,7 +11,6 @@
 #include "TestUtils.h"
 #include "Timer.h"
 
-
 TEST_CASE("Metrics Test", "[Metrics]")
 {
     std::string file_name = GENERATE("glass", "iris", "ecoli", "diabetes");
@@ -28,8 +27,8 @@ TEST_CASE("Metrics Test", "[Metrics]")
         {"diabetes", 0.0345470614}
     };
     map<pair<std::string, int>, std::vector<pair<int, int>>> resultsMST = {
-        { {"glass", 0}, { {0, 6}, {0, 5}, {0, 3}, {5, 1}, {5, 8}, {5, 4}, {6, 2}, {6, 7} } },
-        { {"glass", 1}, { {1, 5}, {5, 0}, {5, 8}, {5, 4}, {0, 6}, {0, 3}, {6, 2}, {6, 7} } },
+        { {"glass", 0}, { {0, 6}, {0, 5}, {0, 3}, {3, 4}, {5, 1}, {5, 8}, {6, 2}, {6, 7} } },
+        { {"glass", 1}, { {1, 5}, {5, 0}, {5, 8}, {0, 6}, {0, 3}, {3, 4}, {6, 2}, {6, 7} } },
         { {"iris", 0}, { {0, 1}, {0, 2}, {1, 3} } },
         { {"iris", 1}, { {1, 0}, {1, 3}, {0, 2} } },
         { {"ecoli", 0}, { {0, 1}, {0, 2}, {1, 5}, {1, 3}, {5, 6}, {5, 4} } },
diff --git a/tests/TestBoostA2DE.cc b/tests/TestBoostA2DE.cc
index b0f6b4a..b841bc3 100644
--- a/tests/TestBoostA2DE.cc
+++ b/tests/TestBoostA2DE.cc
@@ -22,7 +22,7 @@ TEST_CASE("Build basic model", "[BoostA2DE]")
     REQUIRE(clf.getNumberOfEdges() == 684);
     REQUIRE(clf.getNotes().size() == 3);
     REQUIRE(clf.getNotes()[0] == "Convergence threshold reached & 15 models eliminated");
-    REQUIRE(clf.getNotes()[1] == "Used pairs not used in train: 20");
+    REQUIRE(clf.getNotes()[1] == "Pairs not used in train: 20");
     REQUIRE(clf.getNotes()[2] == "Number of models: 38");
     auto score = clf.score(raw.Xv, raw.yv);
     REQUIRE(score == Catch::Approx(0.919271).epsilon(raw.epsilon));

From 22b742f0685e13e19706c3217aaec44820747995 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Tue, 21 May 2024 10:11:33 +0200
Subject: [PATCH 11/21] Convert ArffFile library to header only library

---
 CMakeLists.txt                   |   6 +-
 bayesnet/classifiers/Proposal.cc |   2 +-
 lib/Files/ArffFiles.cc           | 171 ------------------------------
 lib/Files/ArffFiles.h            |  33 ------
 lib/Files/ArffFiles.hpp          | 161 ++++++++++++++++++++++++++++
 lib/Files/CMakeLists.txt         |   1 -
 lib/catch2                       |   1 +
 sample/CMakeLists.txt            |   3 +-
 sample/lib/Files/ArffFiles.cc    | 174 -------------------------------
 sample/lib/Files/ArffFiles.h     |  38 -------
 sample/lib/Files/ArffFiles.hpp   | 161 ++++++++++++++++++++++++++++
 sample/lib/Files/CMakeLists.txt  |   1 -
 sample/sample.cc                 |   2 +-
 13 files changed, 330 insertions(+), 424 deletions(-)
 delete mode 100644 lib/Files/ArffFiles.cc
 delete mode 100644 lib/Files/ArffFiles.h
 create mode 100644 lib/Files/ArffFiles.hpp
 delete mode 100644 lib/Files/CMakeLists.txt
 create mode 160000 lib/catch2
 delete mode 100644 sample/lib/Files/ArffFiles.cc
 delete mode 100644 sample/lib/Files/ArffFiles.h
 create mode 100644 sample/lib/Files/ArffFiles.hpp
 delete mode 100644 sample/lib/Files/CMakeLists.txt

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 67cee94..152447e 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -25,8 +25,11 @@ set(CMAKE_CXX_EXTENSIONS                  OFF)
 set(CMAKE_EXPORT_COMPILE_COMMANDS          ON)
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
 SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
-set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fprofile-arcs -ftest-coverage -fno-elide-constructors -fno-default-inline")
+set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fprofile-arcs -ftest-coverage -fno-elide-constructors")
 set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3")
+if (NOT ${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
+    set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-default-inline")
+endif()
 
 # Options
 # -------
@@ -63,7 +66,6 @@ endif (ENABLE_CLANG_TIDY)
 # include(FetchContent)
 add_git_submodule("lib/json")
 add_git_submodule("lib/mdlp")
-add_subdirectory("lib/Files")
 
 # Subdirectories
 # --------------
diff --git a/bayesnet/classifiers/Proposal.cc b/bayesnet/classifiers/Proposal.cc
index 3ee9cda..d62ed6e 100644
--- a/bayesnet/classifiers/Proposal.cc
+++ b/bayesnet/classifiers/Proposal.cc
@@ -4,7 +4,7 @@
 // SPDX-License-Identifier: MIT
 // ***************************************************************
 
-#include <ArffFiles.h>
+#include <ArffFiles.hpp>
 #include "Proposal.h"
 
 namespace bayesnet {
diff --git a/lib/Files/ArffFiles.cc b/lib/Files/ArffFiles.cc
deleted file mode 100644
index 299b60c..0000000
--- a/lib/Files/ArffFiles.cc
+++ /dev/null
@@ -1,171 +0,0 @@
-#include "ArffFiles.h"
-#include <fstream>
-#include <sstream>
-#include <map>
-#include <iostream>
-
-std::vector<std::string> ArffFiles::getLines() const
-{
-    return lines;
-}
-
-unsigned long int ArffFiles::getSize() const
-{
-    return lines.size();
-}
-
-std::vector<std::pair<std::string, std::string>> ArffFiles::getAttributes() const
-{
-    return attributes;
-}
-
-std::string ArffFiles::getClassName() const
-{
-    return className;
-}
-
-std::string ArffFiles::getClassType() const
-{
-    return classType;
-}
-
-std::vector<std::vector<float>>& ArffFiles::getX()
-{
-    return X;
-}
-
-std::vector<int>& ArffFiles::getY()
-{
-    return y;
-}
-
-void ArffFiles::loadCommon(const std::string& fileName)
-{
-    std::ifstream file(fileName);
-    if (!file.is_open()) {
-        throw std::invalid_argument("Unable to open file");
-    }
-    std::string line;
-    std::string keyword;
-    std::string attribute;
-    std::string type;
-    std::string type_w;
-    // Read file
-    while (getline(file, line)) {
-        if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
-            // Skip comments and empty lines
-            continue;
-        }
-        if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
-            // Read attributes
-            std::stringstream ss(line);
-            ss >> keyword >> attribute;
-            type = "";
-            while (ss >> type_w)
-                type += type_w + " ";
-            attributes.emplace_back(trim(attribute), trim(type));
-            continue;
-        }
-        if (line[0] == '@') {
-            continue;
-        }
-        // Read data
-        lines.push_back(line);
-    }
-    file.close();
-    if (attributes.empty())
-        throw std::invalid_argument("No attributes found");
-}
-
-void ArffFiles::load(const std::string& fileName, bool classLast)
-{
-    int labelIndex;
-    loadCommon(fileName);
-    if (classLast) {
-        className = std::get<0>(attributes.back());
-        classType = std::get<1>(attributes.back());
-        attributes.pop_back();
-        labelIndex = static_cast<int>(attributes.size());
-    } else {
-        className = std::get<0>(attributes.front());
-        classType = std::get<1>(attributes.front());
-        attributes.erase(attributes.begin());
-        labelIndex = 0;
-    }
-    generateDataset(labelIndex);
-}
-void ArffFiles::load(const std::string& fileName, const std::string& name)
-{
-    int labelIndex;
-    loadCommon(fileName);
-    bool found = false;
-    for (int i = 0; i < attributes.size(); ++i) {
-        if (attributes[i].first == name) {
-            className = std::get<0>(attributes[i]);
-            classType = std::get<1>(attributes[i]);
-            attributes.erase(attributes.begin() + i);
-            labelIndex = i;
-            found = true;
-            break;
-        }
-    }
-    if (!found) {
-        throw std::invalid_argument("Class name not found");
-    }
-    generateDataset(labelIndex);
-}
-
-void ArffFiles::generateDataset(int labelIndex)
-{
-    X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
-    auto yy = std::vector<std::string>(lines.size(), "");
-    auto removeLines = std::vector<int>(); // Lines with missing values
-    size_t numLine = 0;
-    for (numLine = 0; numLine < lines.size(); numLine++) {
-        std::stringstream ss(lines[numLine]);
-        std::string value;
-        int pos = 0;
-        int xIndex = 0;
-        while (getline(ss, value, ',')) {
-            if (pos++ == labelIndex) {
-                yy[numLine] = value;
-            } else {
-                if (value == "?") {
-                    X[xIndex++][numLine] = -1;
-                    removeLines.push_back(numLine);
-                } else
-                    X[xIndex++][numLine] = stof(value);
-            }
-        }
-    }
-    for (auto i : removeLines) {
-        yy.erase(yy.begin() + i);
-        for (auto& x : X) {
-            x.erase(x.begin() + i);
-        }
-    }
-    y = factorize(yy);
-}
-
-std::string ArffFiles::trim(const std::string& source)
-{
-    std::string s(source);
-    s.erase(0, s.find_first_not_of(" '\n\r\t"));
-    s.erase(s.find_last_not_of(" '\n\r\t") + 1);
-    return s;
-}
-
-std::vector<int> ArffFiles::factorize(const std::vector<std::string>& labels_t)
-{
-    std::vector<int> yy;
-    yy.reserve(labels_t.size());
-    std::map<std::string, int> labelMap;
-    int i = 0;
-    for (const std::string& label : labels_t) {
-        if (labelMap.find(label) == labelMap.end()) {
-            labelMap[label] = i++;
-        }
-        yy.push_back(labelMap[label]);
-    }
-    return yy;
-}
\ No newline at end of file
diff --git a/lib/Files/ArffFiles.h b/lib/Files/ArffFiles.h
deleted file mode 100644
index 4602a05..0000000
--- a/lib/Files/ArffFiles.h
+++ /dev/null
@@ -1,33 +0,0 @@
-#ifndef ARFFFILES_H
-#define ARFFFILES_H
-
-#include <string>
-#include <vector>
-
-class ArffFiles {
-public:
-    ArffFiles() = default;
-    void load(const std::string&, bool = true);
-    void load(const std::string&, const std::string&);
-    std::vector<std::string> getLines() const;
-    unsigned long int getSize() const;
-    std::string getClassName() const;
-    std::string getClassType() const;
-    static std::string trim(const std::string&);
-    std::vector<std::vector<float>>& getX();
-    std::vector<int>& getY();
-    std::vector<std::pair<std::string, std::string>> getAttributes() const;
-    static std::vector<int> factorize(const std::vector<std::string>& labels_t);
-protected:
-    std::vector<std::string> lines;
-    std::vector<std::pair<std::string, std::string>> attributes;
-    std::string className;
-    std::string classType;
-    std::vector<std::vector<float>> X;
-    std::vector<int> y;
-    int maxLines = 0;
-    void generateDataset(int);
-    void loadCommon(const std::string&);
-};
-
-#endif
\ No newline at end of file
diff --git a/lib/Files/ArffFiles.hpp b/lib/Files/ArffFiles.hpp
new file mode 100644
index 0000000..7227299
--- /dev/null
+++ b/lib/Files/ArffFiles.hpp
@@ -0,0 +1,161 @@
+#ifndef ARFFFILES_HPP
+#define ARFFFILES_HPP
+
+#include <string>
+#include <vector>
+#include <fstream>
+#include <sstream>
+#include <map>
+#include <cctype> // std::isdigit
+#include <algorithm> // std::all_of
+#include <iostream>
+
+class ArffFiles {
+public:
+    ArffFiles() = default;
+    void load(const std::string& fileName, bool classLast = true)
+    {
+        int labelIndex;
+        loadCommon(fileName);
+        if (classLast) {
+            className = std::get<0>(attributes.back());
+            classType = std::get<1>(attributes.back());
+            attributes.pop_back();
+            labelIndex = static_cast<int>(attributes.size());
+        } else {
+            className = std::get<0>(attributes.front());
+            classType = std::get<1>(attributes.front());
+            attributes.erase(attributes.begin());
+            labelIndex = 0;
+        }
+        generateDataset(labelIndex);
+    };
+    void load(const std::string& fileName, const std::string& name)
+    {
+        int labelIndex;
+        loadCommon(fileName);
+        bool found = false;
+        for (int i = 0; i < attributes.size(); ++i) {
+            if (attributes[i].first == name) {
+                className = std::get<0>(attributes[i]);
+                classType = std::get<1>(attributes[i]);
+                attributes.erase(attributes.begin() + i);
+                labelIndex = i;
+                found = true;
+                break;
+            }
+        }
+        if (!found) {
+            throw std::invalid_argument("Class name not found");
+        }
+        generateDataset(labelIndex);
+    };
+    std::vector<std::string> getLines() const { return lines; };
+    unsigned long int getSize() const { return lines.size(); };
+    std::string getClassName() const { return className; };
+    std::string getClassType() const { return classType; };
+    std::vector<std::string> getLabels() const { return labels; }
+    static std::string trim(const std::string& source)
+    {
+        std::string s(source);
+        s.erase(0, s.find_first_not_of(" '\n\r\t"));
+        s.erase(s.find_last_not_of(" '\n\r\t") + 1);
+        return s;
+    };
+    std::vector<std::vector<float>>& getX() { return X; };
+    std::vector<int>& getY() { return y; }
+    std::vector<std::pair<std::string, std::string>> getAttributes() const { return attributes; };
+    std::vector<int> factorize(const std::vector<std::string>& labels_t)
+    {
+        std::vector<int> yy;
+        labels.clear();
+        yy.reserve(labels_t.size());
+        std::map<std::string, int> labelMap;
+        int i = 0;
+        for (const std::string& label : labels_t) {
+            if (labelMap.find(label) == labelMap.end()) {
+                labelMap[label] = i++;
+                bool allDigits = std::all_of(label.begin(), label.end(), isdigit);
+                if (allDigits)
+                    labels.push_back("Class " + label);
+                else
+                    labels.push_back(label);
+            }
+            yy.push_back(labelMap[label]);
+        }
+        return yy;
+    };
+private:
+    void generateDataset(int labelIndex)
+    {
+        X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
+        auto yy = std::vector<std::string>(lines.size(), "");
+        auto removeLines = std::vector<int>(); // Lines with missing values
+        for (size_t i = 0; i < lines.size(); i++) {
+            std::stringstream ss(lines[i]);
+            std::string value;
+            int pos = 0;
+            int xIndex = 0;
+            while (getline(ss, value, ',')) {
+                if (pos++ == labelIndex) {
+                    yy[i] = value;
+                } else {
+                    if (value == "?") {
+                        X[xIndex++][i] = -1;
+                        removeLines.push_back(i);
+                    } else
+                        X[xIndex++][i] = stof(value);
+                }
+            }
+        }
+        for (auto i : removeLines) {
+            yy.erase(yy.begin() + i);
+            for (auto& x : X) {
+                x.erase(x.begin() + i);
+            }
+        }
+        y = factorize(yy);
+    };
+    void loadCommon(std::string fileName)
+    {
+        std::ifstream file(fileName);
+        if (!file.is_open()) {
+            throw std::invalid_argument("Unable to open file");
+        }
+        std::string line;
+        std::string keyword;
+        std::string attribute;
+        std::string type;
+        std::string type_w;
+        while (getline(file, line)) {
+            if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
+                continue;
+            }
+            if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
+                std::stringstream ss(line);
+                ss >> keyword >> attribute;
+                type = "";
+                while (ss >> type_w)
+                    type += type_w + " ";
+                attributes.emplace_back(trim(attribute), trim(type));
+                continue;
+            }
+            if (line[0] == '@') {
+                continue;
+            }
+            lines.push_back(line);
+        }
+        file.close();
+        if (attributes.empty())
+            throw std::invalid_argument("No attributes found");
+    };
+    std::vector<std::string> lines;
+    std::vector<std::pair<std::string, std::string>> attributes;
+    std::string className;
+    std::string classType;
+    std::vector<std::vector<float>> X;
+    std::vector<int> y;
+    std::vector<std::string> labels;
+};
+
+#endif
\ No newline at end of file
diff --git a/lib/Files/CMakeLists.txt b/lib/Files/CMakeLists.txt
deleted file mode 100644
index fce5b8f..0000000
--- a/lib/Files/CMakeLists.txt
+++ /dev/null
@@ -1 +0,0 @@
-add_library(ArffFiles ArffFiles.cc)
\ No newline at end of file
diff --git a/lib/catch2 b/lib/catch2
new file mode 160000
index 0000000..029fe3b
--- /dev/null
+++ b/lib/catch2
@@ -0,0 +1 @@
+Subproject commit 029fe3b4609dd84cd939b73357f37bbb75bcf82f
diff --git a/sample/CMakeLists.txt b/sample/CMakeLists.txt
index c95e219..d50030e 100644
--- a/sample/CMakeLists.txt
+++ b/sample/CMakeLists.txt
@@ -14,7 +14,6 @@ include_directories(
     /usr/local/include
 )
 
-add_subdirectory(lib/Files)
 add_subdirectory(lib/mdlp)
 add_executable(bayesnet_sample sample.cc) 
-target_link_libraries(bayesnet_sample ArffFiles mdlp "${TORCH_LIBRARIES}" "${BayesNet}")
\ No newline at end of file
+target_link_libraries(bayesnet_sample mdlp "${TORCH_LIBRARIES}" "${BayesNet}")
\ No newline at end of file
diff --git a/sample/lib/Files/ArffFiles.cc b/sample/lib/Files/ArffFiles.cc
deleted file mode 100644
index d333d1e..0000000
--- a/sample/lib/Files/ArffFiles.cc
+++ /dev/null
@@ -1,174 +0,0 @@
-// ***************************************************************
-// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
-// SPDX-FileType: SOURCE
-// SPDX-License-Identifier: MIT
-// ***************************************************************
-
-#include "ArffFiles.h"
-#include <fstream>
-#include <sstream>
-#include <map>
-#include <iostream>
-
-ArffFiles::ArffFiles() = default;
-
-std::vector<std::string> ArffFiles::getLines() const
-{
-    return lines;
-}
-
-unsigned long int ArffFiles::getSize() const
-{
-    return lines.size();
-}
-
-std::vector<std::pair<std::string, std::string>> ArffFiles::getAttributes() const
-{
-    return attributes;
-}
-
-std::string ArffFiles::getClassName() const
-{
-    return className;
-}
-
-std::string ArffFiles::getClassType() const
-{
-    return classType;
-}
-
-std::vector<std::vector<float>>& ArffFiles::getX()
-{
-    return X;
-}
-
-std::vector<int>& ArffFiles::getY()
-{
-    return y;
-}
-
-void ArffFiles::loadCommon(std::string fileName)
-{
-    std::ifstream file(fileName);
-    if (!file.is_open()) {
-        throw std::invalid_argument("Unable to open file");
-    }
-    std::string line;
-    std::string keyword;
-    std::string attribute;
-    std::string type;
-    std::string type_w;
-    while (getline(file, line)) {
-        if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
-            continue;
-        }
-        if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
-            std::stringstream ss(line);
-            ss >> keyword >> attribute;
-            type = "";
-            while (ss >> type_w)
-                type += type_w + " ";
-            attributes.emplace_back(trim(attribute), trim(type));
-            continue;
-        }
-        if (line[0] == '@') {
-            continue;
-        }
-        lines.push_back(line);
-    }
-    file.close();
-    if (attributes.empty())
-        throw std::invalid_argument("No attributes found");
-}
-
-void ArffFiles::load(const std::string& fileName, bool classLast)
-{
-    int labelIndex;
-    loadCommon(fileName);
-    if (classLast) {
-        className = std::get<0>(attributes.back());
-        classType = std::get<1>(attributes.back());
-        attributes.pop_back();
-        labelIndex = static_cast<int>(attributes.size());
-    } else {
-        className = std::get<0>(attributes.front());
-        classType = std::get<1>(attributes.front());
-        attributes.erase(attributes.begin());
-        labelIndex = 0;
-    }
-    generateDataset(labelIndex);
-}
-void ArffFiles::load(const std::string& fileName, const std::string& name)
-{
-    int labelIndex;
-    loadCommon(fileName);
-    bool found = false;
-    for (int i = 0; i < attributes.size(); ++i) {
-        if (attributes[i].first == name) {
-            className = std::get<0>(attributes[i]);
-            classType = std::get<1>(attributes[i]);
-            attributes.erase(attributes.begin() + i);
-            labelIndex = i;
-            found = true;
-            break;
-        }
-    }
-    if (!found) {
-        throw std::invalid_argument("Class name not found");
-    }
-    generateDataset(labelIndex);
-}
-
-void ArffFiles::generateDataset(int labelIndex)
-{
-    X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
-    auto yy = std::vector<std::string>(lines.size(), "");
-    auto removeLines = std::vector<int>(); // Lines with missing values
-    for (size_t i = 0; i < lines.size(); i++) {
-        std::stringstream ss(lines[i]);
-        std::string value;
-        int pos = 0;
-        int xIndex = 0;
-        while (getline(ss, value, ',')) {
-            if (pos++ == labelIndex) {
-                yy[i] = value;
-            } else {
-                if (value == "?") {
-                    X[xIndex++][i] = -1;
-                    removeLines.push_back(i);
-                } else
-                    X[xIndex++][i] = stof(value);
-            }
-        }
-    }
-    for (auto i : removeLines) {
-        yy.erase(yy.begin() + i);
-        for (auto& x : X) {
-            x.erase(x.begin() + i);
-        }
-    }
-    y = factorize(yy);
-}
-
-std::string ArffFiles::trim(const std::string& source)
-{
-    std::string s(source);
-    s.erase(0, s.find_first_not_of(" '\n\r\t"));
-    s.erase(s.find_last_not_of(" '\n\r\t") + 1);
-    return s;
-}
-
-std::vector<int> ArffFiles::factorize(const std::vector<std::string>& labels_t)
-{
-    std::vector<int> yy;
-    yy.reserve(labels_t.size());
-    std::map<std::string, int> labelMap;
-    int i = 0;
-    for (const std::string& label : labels_t) {
-        if (labelMap.find(label) == labelMap.end()) {
-            labelMap[label] = i++;
-        }
-        yy.push_back(labelMap[label]);
-    }
-    return yy;
-}
\ No newline at end of file
diff --git a/sample/lib/Files/ArffFiles.h b/sample/lib/Files/ArffFiles.h
deleted file mode 100644
index 12206c5..0000000
--- a/sample/lib/Files/ArffFiles.h
+++ /dev/null
@@ -1,38 +0,0 @@
-// ***************************************************************
-// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
-// SPDX-FileType: SOURCE
-// SPDX-License-Identifier: MIT
-// ***************************************************************
-
-#ifndef ARFFFILES_H
-#define ARFFFILES_H
-
-#include <string>
-#include <vector>
-
-class ArffFiles {
-private:
-    std::vector<std::string> lines;
-    std::vector<std::pair<std::string, std::string>> attributes;
-    std::string className;
-    std::string classType;
-    std::vector<std::vector<float>> X;
-    std::vector<int> y;
-    void generateDataset(int);
-    void loadCommon(std::string);
-public:
-    ArffFiles();
-    void load(const std::string&, bool = true);
-    void load(const std::string&, const std::string&);
-    std::vector<std::string> getLines() const;
-    unsigned long int getSize() const;
-    std::string getClassName() const;
-    std::string getClassType() const;
-    static std::string trim(const std::string&);
-    std::vector<std::vector<float>>& getX();
-    std::vector<int>& getY();
-    std::vector<std::pair<std::string, std::string>> getAttributes() const;
-    static std::vector<int> factorize(const std::vector<std::string>& labels_t);
-};
-
-#endif
\ No newline at end of file
diff --git a/sample/lib/Files/ArffFiles.hpp b/sample/lib/Files/ArffFiles.hpp
new file mode 100644
index 0000000..7227299
--- /dev/null
+++ b/sample/lib/Files/ArffFiles.hpp
@@ -0,0 +1,161 @@
+#ifndef ARFFFILES_HPP
+#define ARFFFILES_HPP
+
+#include <string>
+#include <vector>
+#include <fstream>
+#include <sstream>
+#include <map>
+#include <cctype> // std::isdigit
+#include <algorithm> // std::all_of
+#include <iostream>
+
+class ArffFiles {
+public:
+    ArffFiles() = default;
+    void load(const std::string& fileName, bool classLast = true)
+    {
+        int labelIndex;
+        loadCommon(fileName);
+        if (classLast) {
+            className = std::get<0>(attributes.back());
+            classType = std::get<1>(attributes.back());
+            attributes.pop_back();
+            labelIndex = static_cast<int>(attributes.size());
+        } else {
+            className = std::get<0>(attributes.front());
+            classType = std::get<1>(attributes.front());
+            attributes.erase(attributes.begin());
+            labelIndex = 0;
+        }
+        generateDataset(labelIndex);
+    };
+    void load(const std::string& fileName, const std::string& name)
+    {
+        int labelIndex;
+        loadCommon(fileName);
+        bool found = false;
+        for (int i = 0; i < attributes.size(); ++i) {
+            if (attributes[i].first == name) {
+                className = std::get<0>(attributes[i]);
+                classType = std::get<1>(attributes[i]);
+                attributes.erase(attributes.begin() + i);
+                labelIndex = i;
+                found = true;
+                break;
+            }
+        }
+        if (!found) {
+            throw std::invalid_argument("Class name not found");
+        }
+        generateDataset(labelIndex);
+    };
+    std::vector<std::string> getLines() const { return lines; };
+    unsigned long int getSize() const { return lines.size(); };
+    std::string getClassName() const { return className; };
+    std::string getClassType() const { return classType; };
+    std::vector<std::string> getLabels() const { return labels; }
+    static std::string trim(const std::string& source)
+    {
+        std::string s(source);
+        s.erase(0, s.find_first_not_of(" '\n\r\t"));
+        s.erase(s.find_last_not_of(" '\n\r\t") + 1);
+        return s;
+    };
+    std::vector<std::vector<float>>& getX() { return X; };
+    std::vector<int>& getY() { return y; }
+    std::vector<std::pair<std::string, std::string>> getAttributes() const { return attributes; };
+    std::vector<int> factorize(const std::vector<std::string>& labels_t)
+    {
+        std::vector<int> yy;
+        labels.clear();
+        yy.reserve(labels_t.size());
+        std::map<std::string, int> labelMap;
+        int i = 0;
+        for (const std::string& label : labels_t) {
+            if (labelMap.find(label) == labelMap.end()) {
+                labelMap[label] = i++;
+                bool allDigits = std::all_of(label.begin(), label.end(), isdigit);
+                if (allDigits)
+                    labels.push_back("Class " + label);
+                else
+                    labels.push_back(label);
+            }
+            yy.push_back(labelMap[label]);
+        }
+        return yy;
+    };
+private:
+    void generateDataset(int labelIndex)
+    {
+        X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
+        auto yy = std::vector<std::string>(lines.size(), "");
+        auto removeLines = std::vector<int>(); // Lines with missing values
+        for (size_t i = 0; i < lines.size(); i++) {
+            std::stringstream ss(lines[i]);
+            std::string value;
+            int pos = 0;
+            int xIndex = 0;
+            while (getline(ss, value, ',')) {
+                if (pos++ == labelIndex) {
+                    yy[i] = value;
+                } else {
+                    if (value == "?") {
+                        X[xIndex++][i] = -1;
+                        removeLines.push_back(i);
+                    } else
+                        X[xIndex++][i] = stof(value);
+                }
+            }
+        }
+        for (auto i : removeLines) {
+            yy.erase(yy.begin() + i);
+            for (auto& x : X) {
+                x.erase(x.begin() + i);
+            }
+        }
+        y = factorize(yy);
+    };
+    void loadCommon(std::string fileName)
+    {
+        std::ifstream file(fileName);
+        if (!file.is_open()) {
+            throw std::invalid_argument("Unable to open file");
+        }
+        std::string line;
+        std::string keyword;
+        std::string attribute;
+        std::string type;
+        std::string type_w;
+        while (getline(file, line)) {
+            if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
+                continue;
+            }
+            if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
+                std::stringstream ss(line);
+                ss >> keyword >> attribute;
+                type = "";
+                while (ss >> type_w)
+                    type += type_w + " ";
+                attributes.emplace_back(trim(attribute), trim(type));
+                continue;
+            }
+            if (line[0] == '@') {
+                continue;
+            }
+            lines.push_back(line);
+        }
+        file.close();
+        if (attributes.empty())
+            throw std::invalid_argument("No attributes found");
+    };
+    std::vector<std::string> lines;
+    std::vector<std::pair<std::string, std::string>> attributes;
+    std::string className;
+    std::string classType;
+    std::vector<std::vector<float>> X;
+    std::vector<int> y;
+    std::vector<std::string> labels;
+};
+
+#endif
\ No newline at end of file
diff --git a/sample/lib/Files/CMakeLists.txt b/sample/lib/Files/CMakeLists.txt
deleted file mode 100644
index fce5b8f..0000000
--- a/sample/lib/Files/CMakeLists.txt
+++ /dev/null
@@ -1 +0,0 @@
-add_library(ArffFiles ArffFiles.cc)
\ No newline at end of file
diff --git a/sample/sample.cc b/sample/sample.cc
index e58dab7..511230f 100644
--- a/sample/sample.cc
+++ b/sample/sample.cc
@@ -4,7 +4,7 @@
 // SPDX-License-Identifier: MIT
 // ***************************************************************
 
-#include <ArffFiles.h>
+#include <ArffFiles.hpp>
 #include <CPPFImdlp.h>
 #include <bayesnet/ensembles/BoostAODE.h>
 

From 0341bd5648fc769cbd20c3b019768accf82832a6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Tue, 21 May 2024 11:50:19 +0000
Subject: [PATCH 12/21] Refactor ArffFiles library as a git submodule only for
 tests

---
 .gitmodules                      |   3 +
 bayesnet/CMakeLists.txt          |   1 -
 bayesnet/classifiers/Proposal.cc |  19 +++-
 bayesnet/classifiers/Proposal.h  |   1 +
 lib/Files/ArffFiles.hpp          | 161 -------------------------------
 sample/lib/Files/ArffFiles.hpp   | 161 -------------------------------
 tests/CMakeLists.txt             |   4 +-
 tests/TestModulesVersions.cc     |   8 +-
 tests/TestUtils.h                |   2 +-
 tests/lib/Files                  |   1 +
 10 files changed, 31 insertions(+), 330 deletions(-)
 delete mode 100644 lib/Files/ArffFiles.hpp
 delete mode 100644 sample/lib/Files/ArffFiles.hpp
 create mode 160000 tests/lib/Files

diff --git a/.gitmodules b/.gitmodules
index 90a50b3..e0ca40e 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -18,3 +18,6 @@
         url = https://github.com/catchorg/Catch2.git
 	main = main
 	update = merge
+[submodule "tests/lib/Files"]
+	path = tests/lib/Files
+	url = https://github.com/rmontanana/ArffFiles
diff --git a/bayesnet/CMakeLists.txt b/bayesnet/CMakeLists.txt
index c1aebe9..2aef26a 100644
--- a/bayesnet/CMakeLists.txt
+++ b/bayesnet/CMakeLists.txt
@@ -1,6 +1,5 @@
 include_directories(
     ${BayesNet_SOURCE_DIR}/lib/mdlp
-    ${BayesNet_SOURCE_DIR}/lib/Files
     ${BayesNet_SOURCE_DIR}/lib/folding
     ${BayesNet_SOURCE_DIR}/lib/json/include
     ${BayesNet_SOURCE_DIR}
diff --git a/bayesnet/classifiers/Proposal.cc b/bayesnet/classifiers/Proposal.cc
index d62ed6e..2dfadb7 100644
--- a/bayesnet/classifiers/Proposal.cc
+++ b/bayesnet/classifiers/Proposal.cc
@@ -4,7 +4,6 @@
 // SPDX-License-Identifier: MIT
 // ***************************************************************
 
-#include <ArffFiles.hpp>
 #include "Proposal.h"
 
 namespace bayesnet {
@@ -54,8 +53,7 @@ namespace bayesnet {
                     yJoinParents[i] += to_string(pDataset.index({ idx, i }).item<int>());
                 }
             }
-            auto arff = ArffFiles();
-            auto yxv = arff.factorize(yJoinParents);
+            auto yxv = factorize(yJoinParents);
             auto xvf_ptr = Xf.index({ index }).data_ptr<float>();
             auto xvf = std::vector<mdlp::precision_t>(xvf_ptr, xvf_ptr + Xf.size(1));
             discretizers[feature]->fit(xvf, yxv);
@@ -113,4 +111,19 @@ namespace bayesnet {
         }
         return Xtd;
     }
+    std::vector<int> Proposal::factorize(const std::vector<std::string>& labels_t)
+    {
+        std::vector<int> yy;
+        yy.reserve(labels_t.size());
+        std::map<std::string, int> labelMap;
+        int i = 0;
+        for (const std::string& label : labels_t) {
+            if (labelMap.find(label) == labelMap.end()) {
+                labelMap[label] = i++;
+                bool allDigits = std::all_of(label.begin(), label.end(), ::isdigit);
+            }
+            yy.push_back(labelMap[label]);
+        }
+        return yy;
+    }
 }
\ No newline at end of file
diff --git a/bayesnet/classifiers/Proposal.h b/bayesnet/classifiers/Proposal.h
index 6e7c351..dd011d8 100644
--- a/bayesnet/classifiers/Proposal.h
+++ b/bayesnet/classifiers/Proposal.h
@@ -27,6 +27,7 @@ namespace bayesnet {
         torch::Tensor y; // y discrete nx1 tensor
         map<std::string, mdlp::CPPFImdlp*> discretizers;
     private:
+        std::vector<int> factorize(const std::vector<std::string>& labels_t);
         torch::Tensor& pDataset; // (n+1)xm tensor
         std::vector<std::string>& pFeatures;
         std::string& pClassName;
diff --git a/lib/Files/ArffFiles.hpp b/lib/Files/ArffFiles.hpp
deleted file mode 100644
index 7227299..0000000
--- a/lib/Files/ArffFiles.hpp
+++ /dev/null
@@ -1,161 +0,0 @@
-#ifndef ARFFFILES_HPP
-#define ARFFFILES_HPP
-
-#include <string>
-#include <vector>
-#include <fstream>
-#include <sstream>
-#include <map>
-#include <cctype> // std::isdigit
-#include <algorithm> // std::all_of
-#include <iostream>
-
-class ArffFiles {
-public:
-    ArffFiles() = default;
-    void load(const std::string& fileName, bool classLast = true)
-    {
-        int labelIndex;
-        loadCommon(fileName);
-        if (classLast) {
-            className = std::get<0>(attributes.back());
-            classType = std::get<1>(attributes.back());
-            attributes.pop_back();
-            labelIndex = static_cast<int>(attributes.size());
-        } else {
-            className = std::get<0>(attributes.front());
-            classType = std::get<1>(attributes.front());
-            attributes.erase(attributes.begin());
-            labelIndex = 0;
-        }
-        generateDataset(labelIndex);
-    };
-    void load(const std::string& fileName, const std::string& name)
-    {
-        int labelIndex;
-        loadCommon(fileName);
-        bool found = false;
-        for (int i = 0; i < attributes.size(); ++i) {
-            if (attributes[i].first == name) {
-                className = std::get<0>(attributes[i]);
-                classType = std::get<1>(attributes[i]);
-                attributes.erase(attributes.begin() + i);
-                labelIndex = i;
-                found = true;
-                break;
-            }
-        }
-        if (!found) {
-            throw std::invalid_argument("Class name not found");
-        }
-        generateDataset(labelIndex);
-    };
-    std::vector<std::string> getLines() const { return lines; };
-    unsigned long int getSize() const { return lines.size(); };
-    std::string getClassName() const { return className; };
-    std::string getClassType() const { return classType; };
-    std::vector<std::string> getLabels() const { return labels; }
-    static std::string trim(const std::string& source)
-    {
-        std::string s(source);
-        s.erase(0, s.find_first_not_of(" '\n\r\t"));
-        s.erase(s.find_last_not_of(" '\n\r\t") + 1);
-        return s;
-    };
-    std::vector<std::vector<float>>& getX() { return X; };
-    std::vector<int>& getY() { return y; }
-    std::vector<std::pair<std::string, std::string>> getAttributes() const { return attributes; };
-    std::vector<int> factorize(const std::vector<std::string>& labels_t)
-    {
-        std::vector<int> yy;
-        labels.clear();
-        yy.reserve(labels_t.size());
-        std::map<std::string, int> labelMap;
-        int i = 0;
-        for (const std::string& label : labels_t) {
-            if (labelMap.find(label) == labelMap.end()) {
-                labelMap[label] = i++;
-                bool allDigits = std::all_of(label.begin(), label.end(), isdigit);
-                if (allDigits)
-                    labels.push_back("Class " + label);
-                else
-                    labels.push_back(label);
-            }
-            yy.push_back(labelMap[label]);
-        }
-        return yy;
-    };
-private:
-    void generateDataset(int labelIndex)
-    {
-        X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
-        auto yy = std::vector<std::string>(lines.size(), "");
-        auto removeLines = std::vector<int>(); // Lines with missing values
-        for (size_t i = 0; i < lines.size(); i++) {
-            std::stringstream ss(lines[i]);
-            std::string value;
-            int pos = 0;
-            int xIndex = 0;
-            while (getline(ss, value, ',')) {
-                if (pos++ == labelIndex) {
-                    yy[i] = value;
-                } else {
-                    if (value == "?") {
-                        X[xIndex++][i] = -1;
-                        removeLines.push_back(i);
-                    } else
-                        X[xIndex++][i] = stof(value);
-                }
-            }
-        }
-        for (auto i : removeLines) {
-            yy.erase(yy.begin() + i);
-            for (auto& x : X) {
-                x.erase(x.begin() + i);
-            }
-        }
-        y = factorize(yy);
-    };
-    void loadCommon(std::string fileName)
-    {
-        std::ifstream file(fileName);
-        if (!file.is_open()) {
-            throw std::invalid_argument("Unable to open file");
-        }
-        std::string line;
-        std::string keyword;
-        std::string attribute;
-        std::string type;
-        std::string type_w;
-        while (getline(file, line)) {
-            if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
-                continue;
-            }
-            if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
-                std::stringstream ss(line);
-                ss >> keyword >> attribute;
-                type = "";
-                while (ss >> type_w)
-                    type += type_w + " ";
-                attributes.emplace_back(trim(attribute), trim(type));
-                continue;
-            }
-            if (line[0] == '@') {
-                continue;
-            }
-            lines.push_back(line);
-        }
-        file.close();
-        if (attributes.empty())
-            throw std::invalid_argument("No attributes found");
-    };
-    std::vector<std::string> lines;
-    std::vector<std::pair<std::string, std::string>> attributes;
-    std::string className;
-    std::string classType;
-    std::vector<std::vector<float>> X;
-    std::vector<int> y;
-    std::vector<std::string> labels;
-};
-
-#endif
\ No newline at end of file
diff --git a/sample/lib/Files/ArffFiles.hpp b/sample/lib/Files/ArffFiles.hpp
deleted file mode 100644
index 7227299..0000000
--- a/sample/lib/Files/ArffFiles.hpp
+++ /dev/null
@@ -1,161 +0,0 @@
-#ifndef ARFFFILES_HPP
-#define ARFFFILES_HPP
-
-#include <string>
-#include <vector>
-#include <fstream>
-#include <sstream>
-#include <map>
-#include <cctype> // std::isdigit
-#include <algorithm> // std::all_of
-#include <iostream>
-
-class ArffFiles {
-public:
-    ArffFiles() = default;
-    void load(const std::string& fileName, bool classLast = true)
-    {
-        int labelIndex;
-        loadCommon(fileName);
-        if (classLast) {
-            className = std::get<0>(attributes.back());
-            classType = std::get<1>(attributes.back());
-            attributes.pop_back();
-            labelIndex = static_cast<int>(attributes.size());
-        } else {
-            className = std::get<0>(attributes.front());
-            classType = std::get<1>(attributes.front());
-            attributes.erase(attributes.begin());
-            labelIndex = 0;
-        }
-        generateDataset(labelIndex);
-    };
-    void load(const std::string& fileName, const std::string& name)
-    {
-        int labelIndex;
-        loadCommon(fileName);
-        bool found = false;
-        for (int i = 0; i < attributes.size(); ++i) {
-            if (attributes[i].first == name) {
-                className = std::get<0>(attributes[i]);
-                classType = std::get<1>(attributes[i]);
-                attributes.erase(attributes.begin() + i);
-                labelIndex = i;
-                found = true;
-                break;
-            }
-        }
-        if (!found) {
-            throw std::invalid_argument("Class name not found");
-        }
-        generateDataset(labelIndex);
-    };
-    std::vector<std::string> getLines() const { return lines; };
-    unsigned long int getSize() const { return lines.size(); };
-    std::string getClassName() const { return className; };
-    std::string getClassType() const { return classType; };
-    std::vector<std::string> getLabels() const { return labels; }
-    static std::string trim(const std::string& source)
-    {
-        std::string s(source);
-        s.erase(0, s.find_first_not_of(" '\n\r\t"));
-        s.erase(s.find_last_not_of(" '\n\r\t") + 1);
-        return s;
-    };
-    std::vector<std::vector<float>>& getX() { return X; };
-    std::vector<int>& getY() { return y; }
-    std::vector<std::pair<std::string, std::string>> getAttributes() const { return attributes; };
-    std::vector<int> factorize(const std::vector<std::string>& labels_t)
-    {
-        std::vector<int> yy;
-        labels.clear();
-        yy.reserve(labels_t.size());
-        std::map<std::string, int> labelMap;
-        int i = 0;
-        for (const std::string& label : labels_t) {
-            if (labelMap.find(label) == labelMap.end()) {
-                labelMap[label] = i++;
-                bool allDigits = std::all_of(label.begin(), label.end(), isdigit);
-                if (allDigits)
-                    labels.push_back("Class " + label);
-                else
-                    labels.push_back(label);
-            }
-            yy.push_back(labelMap[label]);
-        }
-        return yy;
-    };
-private:
-    void generateDataset(int labelIndex)
-    {
-        X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
-        auto yy = std::vector<std::string>(lines.size(), "");
-        auto removeLines = std::vector<int>(); // Lines with missing values
-        for (size_t i = 0; i < lines.size(); i++) {
-            std::stringstream ss(lines[i]);
-            std::string value;
-            int pos = 0;
-            int xIndex = 0;
-            while (getline(ss, value, ',')) {
-                if (pos++ == labelIndex) {
-                    yy[i] = value;
-                } else {
-                    if (value == "?") {
-                        X[xIndex++][i] = -1;
-                        removeLines.push_back(i);
-                    } else
-                        X[xIndex++][i] = stof(value);
-                }
-            }
-        }
-        for (auto i : removeLines) {
-            yy.erase(yy.begin() + i);
-            for (auto& x : X) {
-                x.erase(x.begin() + i);
-            }
-        }
-        y = factorize(yy);
-    };
-    void loadCommon(std::string fileName)
-    {
-        std::ifstream file(fileName);
-        if (!file.is_open()) {
-            throw std::invalid_argument("Unable to open file");
-        }
-        std::string line;
-        std::string keyword;
-        std::string attribute;
-        std::string type;
-        std::string type_w;
-        while (getline(file, line)) {
-            if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
-                continue;
-            }
-            if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
-                std::stringstream ss(line);
-                ss >> keyword >> attribute;
-                type = "";
-                while (ss >> type_w)
-                    type += type_w + " ";
-                attributes.emplace_back(trim(attribute), trim(type));
-                continue;
-            }
-            if (line[0] == '@') {
-                continue;
-            }
-            lines.push_back(line);
-        }
-        file.close();
-        if (attributes.empty())
-            throw std::invalid_argument("No attributes found");
-    };
-    std::vector<std::string> lines;
-    std::vector<std::pair<std::string, std::string>> attributes;
-    std::string className;
-    std::string classType;
-    std::vector<std::vector<float>> X;
-    std::vector<int> y;
-    std::vector<std::string> labels;
-};
-
-#endif
\ No newline at end of file
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 99249fc..1ff33ee 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -1,6 +1,6 @@
 if(ENABLE_TESTING)
     include_directories(
-        ${BayesNet_SOURCE_DIR}/lib/Files
+        ${BayesNet_SOURCE_DIR}/tests/lib/Files
         ${BayesNet_SOURCE_DIR}/lib/folding
         ${BayesNet_SOURCE_DIR}/lib/mdlp
         ${BayesNet_SOURCE_DIR}/lib/json/include
@@ -11,7 +11,7 @@ if(ENABLE_TESTING)
     add_executable(TestBayesNet TestBayesNetwork.cc TestBayesNode.cc TestBayesClassifier.cc 
         TestBayesModels.cc TestBayesMetrics.cc TestFeatureSelection.cc TestBoostAODE.cc TestA2DE.cc 
         TestUtils.cc TestBayesEnsemble.cc TestModulesVersions.cc TestBoostA2DE.cc ${BayesNet_SOURCES})
-    target_link_libraries(TestBayesNet PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp PRIVATE Catch2::Catch2WithMain)
+    target_link_libraries(TestBayesNet PUBLIC "${TORCH_LIBRARIES}" mdlp PRIVATE Catch2::Catch2WithMain)
     add_test(NAME BayesNetworkTest COMMAND TestBayesNet)
     add_test(NAME A2DE COMMAND TestBayesNet "[A2DE]")
     add_test(NAME BoostA2DE COMMAND TestBayesNet "[BoostA2DE]")
diff --git a/tests/TestModulesVersions.cc b/tests/TestModulesVersions.cc
index c9a44e0..a8b2ce2 100644
--- a/tests/TestModulesVersions.cc
+++ b/tests/TestModulesVersions.cc
@@ -18,7 +18,8 @@
 std::map<std::string, std::string> modules = {
     { "mdlp", "1.1.2" },
     { "Folding", "1.1.0" },
-    { "json", "3.11" }
+    { "json", "3.11" },
+    { "ArffFiles", "1.0.0" }
 };
 
 TEST_CASE("MDLP", "[Modules]")
@@ -35,3 +36,8 @@ TEST_CASE("NLOHMANN_JSON", "[Modules]")
 {
     REQUIRE(JSON_VERSION == modules["json"]);
 }
+TEST_CASE("ArffFiles", "[Modules]")
+{
+    auto handler = ArffFiles();
+    REQUIRE(handler.version() == modules["ArffFiles"]);
+}
diff --git a/tests/TestUtils.h b/tests/TestUtils.h
index 09ea305..96b6775 100644
--- a/tests/TestUtils.h
+++ b/tests/TestUtils.h
@@ -11,7 +11,7 @@
 #include <vector>
 #include <map>
 #include <tuple>
-#include <ArffFiles.h>
+#include <ArffFiles.hpp>
 #include <CPPFImdlp.h>
 #include <folding.hpp>
 
diff --git a/tests/lib/Files b/tests/lib/Files
new file mode 160000
index 0000000..40ac380
--- /dev/null
+++ b/tests/lib/Files
@@ -0,0 +1 @@
+Subproject commit 40ac38011a2445e00df8a18048c67abaff16fa59

From a2853dd2e50ac4f99b9574fca97c76546f84eb81 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Tue, 21 May 2024 23:38:10 +0200
Subject: [PATCH 13/21] Add Doxygen to generate man and manual pages

---
 docs/Doxyfile                                 | 2911 +++++++++++++++++
 docs/logo_small.png                           |  Bin 0 -> 10855 bytes
 docs/man3/bayesnet_A2DE.3                     |  257 ++
 docs/man3/bayesnet_AODE.3                     |  257 ++
 docs/man3/bayesnet_AODELd.3                   |  296 ++
 docs/man3/bayesnet_BaseClassifier.3           |  116 +
 docs/man3/bayesnet_Boost.3                    |  369 +++
 docs/man3/bayesnet_BoostA2DE.3                |  316 ++
 docs/man3/bayesnet_BoostAODE.3                |  316 ++
 docs/man3/bayesnet_Classifier.3               |  360 ++
 docs/man3/bayesnet_Ensemble.3                 |  348 ++
 docs/man3/bayesnet_KDB.3                      |  201 ++
 docs/man3/bayesnet_KDBLd.3                    |  254 ++
 docs/man3/bayesnet_Network.3                  |  223 ++
 docs/man3/bayesnet_Node.3                     |  135 +
 docs/man3/bayesnet_Proposal.3                 |   95 +
 docs/man3/bayesnet_SPODE.3                    |  195 ++
 docs/man3/bayesnet_SPODELd.3                  |  268 ++
 docs/man3/bayesnet_SPnDE.3                    |  193 ++
 docs/man3/bayesnet_TAN.3                      |  192 ++
 docs/man3/bayesnet_TANLd.3                    |  244 ++
 docs/manual/_a2_d_e_8cc_source.html           |  154 +
 docs/manual/_a2_d_e_8h_source.html            |  140 +
 docs/manual/_a_o_d_e_8cc_source.html          |  152 +
 docs/manual/_a_o_d_e_8h_source.html           |  140 +
 docs/manual/_a_o_d_e_ld_8cc_source.html       |  161 +
 docs/manual/_a_o_d_e_ld_8h_source.html        |  144 +
 docs/manual/_base_classifier_8h_source.html   |  162 +
 docs/manual/_boost_8cc_source.html            |  360 ++
 docs/manual/_boost_8h_source.html             |  170 +
 docs/manual/_boost_a2_d_e_8cc_source.html     |  281 ++
 docs/manual/_boost_a2_d_e_8h_source.html      |  143 +
 docs/manual/_boost_a_o_d_e_8cc_source.html    |  275 ++
 docs/manual/_boost_a_o_d_e_8h_source.html     |  144 +
 docs/manual/_classifier_8cc_source.html       |  308 ++
 docs/manual/_classifier_8h_source.html        |  184 ++
 docs/manual/_ensemble_8cc_source.html         |  336 ++
 docs/manual/_ensemble_8h_source.html          |  171 +
 docs/manual/_k_d_b_8cc_source.html            |  225 ++
 docs/manual/_k_d_b_8h_source.html             |  145 +
 docs/manual/_k_d_b_ld_8cc_source.html         |  149 +
 docs/manual/_k_d_b_ld_8h_source.html          |  143 +
 docs/manual/_network_8cc_source.html          |  543 +++
 docs/manual/_network_8h_source.html           |  186 ++
 docs/manual/_node_8cc_source.html             |  254 ++
 docs/manual/_node_8h_source.html              |  159 +
 docs/manual/_proposal_8cc_source.html         |  243 ++
 docs/manual/_proposal_8h_source.html          |  155 +
 docs/manual/_s_p_o_d_e_8cc_source.html        |  145 +
 docs/manual/_s_p_o_d_e_8h_source.html         |  141 +
 docs/manual/_s_p_o_d_e_ld_8cc_source.html     |  164 +
 docs/manual/_s_p_o_d_e_ld_8h_source.html      |  144 +
 docs/manual/_s_pn_d_e_8cc_source.html         |  152 +
 docs/manual/_s_pn_d_e_8h_source.html          |  144 +
 docs/manual/_t_a_n_8cc_source.html            |  159 +
 docs/manual/_t_a_n_8h_source.html             |  139 +
 docs/manual/_t_a_n_ld_8cc_source.html         |  150 +
 docs/manual/_t_a_n_ld_8h_source.html          |  143 +
 docs/manual/annotated.html                    |  137 +
 docs/manual/annotated_dup.js                  |   24 +
 docs/manual/bc_s.png                          |  Bin 0 -> 676 bytes
 docs/manual/bc_sd.png                         |  Bin 0 -> 635 bytes
 .../classbayesnet_1_1_a2_d_e-members.html     |  174 +
 docs/manual/classbayesnet_1_1_a2_d_e.html     |  420 +++
 .../classbayesnet_1_1_a2_d_e__coll__graph.map |   11 +
 .../classbayesnet_1_1_a2_d_e__coll__graph.md5 |    1 +
 .../classbayesnet_1_1_a2_d_e__coll__graph.png |  Bin 0 -> 13836 bytes
 ...assbayesnet_1_1_a2_d_e__inherit__graph.map |    9 +
 ...assbayesnet_1_1_a2_d_e__inherit__graph.md5 |    1 +
 ...assbayesnet_1_1_a2_d_e__inherit__graph.png |  Bin 0 -> 9888 bytes
 .../classbayesnet_1_1_a_o_d_e-members.html    |  174 +
 docs/manual/classbayesnet_1_1_a_o_d_e.html    |  420 +++
 ...classbayesnet_1_1_a_o_d_e__coll__graph.map |   11 +
 ...classbayesnet_1_1_a_o_d_e__coll__graph.md5 |    1 +
 ...classbayesnet_1_1_a_o_d_e__coll__graph.png |  Bin 0 -> 13955 bytes
 ...ssbayesnet_1_1_a_o_d_e__inherit__graph.map |    9 +
 ...ssbayesnet_1_1_a_o_d_e__inherit__graph.md5 |    1 +
 ...ssbayesnet_1_1_a_o_d_e__inherit__graph.png |  Bin 0 -> 10014 bytes
 .../classbayesnet_1_1_a_o_d_e_ld-members.html |  184 ++
 docs/manual/classbayesnet_1_1_a_o_d_e_ld.html |  464 +++
 ...ssbayesnet_1_1_a_o_d_e_ld__coll__graph.map |   13 +
 ...ssbayesnet_1_1_a_o_d_e_ld__coll__graph.md5 |    1 +
 ...ssbayesnet_1_1_a_o_d_e_ld__coll__graph.png |  Bin 0 -> 16871 bytes
 ...ayesnet_1_1_a_o_d_e_ld__inherit__graph.map |   11 +
 ...ayesnet_1_1_a_o_d_e_ld__inherit__graph.md5 |    1 +
 ...ayesnet_1_1_a_o_d_e_ld__inherit__graph.png |  Bin 0 -> 13060 bytes
 ...sbayesnet_1_1_base_classifier-members.html |  142 +
 .../classbayesnet_1_1_base_classifier.html    |  299 ++
 ...et_1_1_base_classifier__inherit__graph.map |   33 +
 ...et_1_1_base_classifier__inherit__graph.md5 |    1 +
 ...et_1_1_base_classifier__inherit__graph.png |  Bin 0 -> 43173 bytes
 .../classbayesnet_1_1_boost-members.html      |  191 ++
 docs/manual/classbayesnet_1_1_boost.html      |  845 +++++
 .../classbayesnet_1_1_boost__coll__graph.map  |   11 +
 .../classbayesnet_1_1_boost__coll__graph.md5  |    1 +
 .../classbayesnet_1_1_boost__coll__graph.png  |  Bin 0 -> 13587 bytes
 ...lassbayesnet_1_1_boost__inherit__graph.map |   13 +
 ...lassbayesnet_1_1_boost__inherit__graph.md5 |    1 +
 ...lassbayesnet_1_1_boost__inherit__graph.png |  Bin 0 -> 15507 bytes
 ...lassbayesnet_1_1_boost_a2_d_e-members.html |  193 ++
 .../classbayesnet_1_1_boost_a2_d_e.html       |  417 +++
 ...bayesnet_1_1_boost_a2_d_e__coll__graph.map |   13 +
 ...bayesnet_1_1_boost_a2_d_e__coll__graph.md5 |    1 +
 ...bayesnet_1_1_boost_a2_d_e__coll__graph.png |  Bin 0 -> 16762 bytes
 ...esnet_1_1_boost_a2_d_e__inherit__graph.map |   11 +
 ...esnet_1_1_boost_a2_d_e__inherit__graph.md5 |    1 +
 ...esnet_1_1_boost_a2_d_e__inherit__graph.png |  Bin 0 -> 12635 bytes
 ...assbayesnet_1_1_boost_a_o_d_e-members.html |  193 ++
 .../classbayesnet_1_1_boost_a_o_d_e.html      |  417 +++
 ...ayesnet_1_1_boost_a_o_d_e__coll__graph.map |   13 +
 ...ayesnet_1_1_boost_a_o_d_e__coll__graph.md5 |    1 +
 ...ayesnet_1_1_boost_a_o_d_e__coll__graph.png |  Bin 0 -> 16880 bytes
 ...snet_1_1_boost_a_o_d_e__inherit__graph.map |   11 +
 ...snet_1_1_boost_a_o_d_e__inherit__graph.md5 |    1 +
 ...snet_1_1_boost_a_o_d_e__inherit__graph.png |  Bin 0 -> 12761 bytes
 .../classbayesnet_1_1_classifier-members.html |  159 +
 docs/manual/classbayesnet_1_1_classifier.html | 1348 ++++++++
 ...ssbayesnet_1_1_classifier__coll__graph.map |    7 +
 ...ssbayesnet_1_1_classifier__coll__graph.md5 |    1 +
 ...ssbayesnet_1_1_classifier__coll__graph.png |  Bin 0 -> 8752 bytes
 ...ayesnet_1_1_classifier__inherit__graph.map |   33 +
 ...ayesnet_1_1_classifier__inherit__graph.md5 |    1 +
 ...ayesnet_1_1_classifier__inherit__graph.png |  Bin 0 -> 43117 bytes
 .../classbayesnet_1_1_ensemble-members.html   |  172 +
 docs/manual/classbayesnet_1_1_ensemble.html   | 1007 ++++++
 ...lassbayesnet_1_1_ensemble__coll__graph.map |    9 +
 ...lassbayesnet_1_1_ensemble__coll__graph.md5 |    1 +
 ...lassbayesnet_1_1_ensemble__coll__graph.png |  Bin 0 -> 11121 bytes
 ...sbayesnet_1_1_ensemble__inherit__graph.map |   19 +
 ...sbayesnet_1_1_ensemble__inherit__graph.md5 |    1 +
 ...sbayesnet_1_1_ensemble__inherit__graph.png |  Bin 0 -> 22170 bytes
 .../classbayesnet_1_1_k_d_b-members.html      |  161 +
 docs/manual/classbayesnet_1_1_k_d_b.html      |  372 +++
 .../classbayesnet_1_1_k_d_b__coll__graph.map  |    9 +
 .../classbayesnet_1_1_k_d_b__coll__graph.md5  |    1 +
 .../classbayesnet_1_1_k_d_b__coll__graph.png  |  Bin 0 -> 11240 bytes
 ...lassbayesnet_1_1_k_d_b__inherit__graph.map |    9 +
 ...lassbayesnet_1_1_k_d_b__inherit__graph.md5 |    1 +
 ...lassbayesnet_1_1_k_d_b__inherit__graph.png |  Bin 0 -> 10088 bytes
 .../classbayesnet_1_1_k_d_b_ld-members.html   |  174 +
 docs/manual/classbayesnet_1_1_k_d_b_ld.html   |  445 +++
 ...lassbayesnet_1_1_k_d_b_ld__coll__graph.map |   13 +
 ...lassbayesnet_1_1_k_d_b_ld__coll__graph.md5 |    1 +
 ...lassbayesnet_1_1_k_d_b_ld__coll__graph.png |  Bin 0 -> 16788 bytes
 ...sbayesnet_1_1_k_d_b_ld__inherit__graph.map |   11 +
 ...sbayesnet_1_1_k_d_b_ld__inherit__graph.md5 |    1 +
 ...sbayesnet_1_1_k_d_b_ld__inherit__graph.png |  Bin 0 -> 12914 bytes
 .../classbayesnet_1_1_network-members.html    |  146 +
 docs/manual/classbayesnet_1_1_network.html    |  840 +++++
 .../classbayesnet_1_1_node-members.html       |  132 +
 docs/manual/classbayesnet_1_1_node.html       |  488 +++
 .../classbayesnet_1_1_proposal-members.html   |  125 +
 docs/manual/classbayesnet_1_1_proposal.html   |  414 +++
 ...sbayesnet_1_1_proposal__inherit__graph.map |   11 +
 ...sbayesnet_1_1_proposal__inherit__graph.md5 |    1 +
 ...sbayesnet_1_1_proposal__inherit__graph.png |  Bin 0 -> 11225 bytes
 .../classbayesnet_1_1_s_p_o_d_e-members.html  |  161 +
 docs/manual/classbayesnet_1_1_s_p_o_d_e.html  |  339 ++
 ...assbayesnet_1_1_s_p_o_d_e__coll__graph.map |    9 +
 ...assbayesnet_1_1_s_p_o_d_e__coll__graph.md5 |    1 +
 ...assbayesnet_1_1_s_p_o_d_e__coll__graph.png |  Bin 0 -> 11682 bytes
 ...bayesnet_1_1_s_p_o_d_e__inherit__graph.map |    9 +
 ...bayesnet_1_1_s_p_o_d_e__inherit__graph.md5 |    1 +
 ...bayesnet_1_1_s_p_o_d_e__inherit__graph.png |  Bin 0 -> 10920 bytes
 ...lassbayesnet_1_1_s_p_o_d_e_ld-members.html |  176 +
 .../classbayesnet_1_1_s_p_o_d_e_ld.html       |  518 +++
 ...bayesnet_1_1_s_p_o_d_e_ld__coll__graph.map |   13 +
 ...bayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5 |    1 +
 ...bayesnet_1_1_s_p_o_d_e_ld__coll__graph.png |  Bin 0 -> 17423 bytes
 ...esnet_1_1_s_p_o_d_e_ld__inherit__graph.map |   11 +
 ...esnet_1_1_s_p_o_d_e_ld__inherit__graph.md5 |    1 +
 ...esnet_1_1_s_p_o_d_e_ld__inherit__graph.png |  Bin 0 -> 13621 bytes
 .../classbayesnet_1_1_s_pn_d_e-members.html   |  161 +
 docs/manual/classbayesnet_1_1_s_pn_d_e.html   |  337 ++
 ...lassbayesnet_1_1_s_pn_d_e__coll__graph.map |    9 +
 ...lassbayesnet_1_1_s_pn_d_e__coll__graph.md5 |    1 +
 ...lassbayesnet_1_1_s_pn_d_e__coll__graph.png |  Bin 0 -> 11430 bytes
 ...sbayesnet_1_1_s_pn_d_e__inherit__graph.map |    7 +
 ...sbayesnet_1_1_s_pn_d_e__inherit__graph.md5 |    1 +
 ...sbayesnet_1_1_s_pn_d_e__inherit__graph.png |  Bin 0 -> 7614 bytes
 .../classbayesnet_1_1_t_a_n-members.html      |  161 +
 docs/manual/classbayesnet_1_1_t_a_n.html      |  329 ++
 .../classbayesnet_1_1_t_a_n__coll__graph.map  |    9 +
 .../classbayesnet_1_1_t_a_n__coll__graph.md5  |    1 +
 .../classbayesnet_1_1_t_a_n__coll__graph.png  |  Bin 0 -> 11120 bytes
 ...lassbayesnet_1_1_t_a_n__inherit__graph.map |    9 +
 ...lassbayesnet_1_1_t_a_n__inherit__graph.md5 |    1 +
 ...lassbayesnet_1_1_t_a_n__inherit__graph.png |  Bin 0 -> 9898 bytes
 .../classbayesnet_1_1_t_a_n_ld-members.html   |  174 +
 docs/manual/classbayesnet_1_1_t_a_n_ld.html   |  432 +++
 ...lassbayesnet_1_1_t_a_n_ld__coll__graph.map |   13 +
 ...lassbayesnet_1_1_t_a_n_ld__coll__graph.md5 |    1 +
 ...lassbayesnet_1_1_t_a_n_ld__coll__graph.png |  Bin 0 -> 16530 bytes
 ...sbayesnet_1_1_t_a_n_ld__inherit__graph.map |   11 +
 ...sbayesnet_1_1_t_a_n_ld__inherit__graph.md5 |    1 +
 ...sbayesnet_1_1_t_a_n_ld__inherit__graph.png |  Bin 0 -> 12664 bytes
 docs/manual/classes.html                      |  143 +
 docs/manual/clipboard.js                      |   61 +
 docs/manual/closed.png                        |  Bin 0 -> 132 bytes
 docs/manual/cookie.js                         |   58 +
 .../dir_2f68445c4ac4316280c650d0a13b2741.html |  155 +
 .../dir_2f68445c4ac4316280c650d0a13b2741.js   |   17 +
 ...r_2f68445c4ac4316280c650d0a13b2741_dep.map |    4 +
 ...r_2f68445c4ac4316280c650d0a13b2741_dep.md5 |    1 +
 ...r_2f68445c4ac4316280c650d0a13b2741_dep.png |  Bin 0 -> 2616 bytes
 .../dir_40070fdff85d618b4d1d3ab4ac4f79bb.html |  129 +
 .../dir_40070fdff85d618b4d1d3ab4ac4f79bb.js   |    7 +
 .../dir_520a649ed2b1c3b658a695aeefe46a5a.html |  163 +
 .../dir_520a649ed2b1c3b658a695aeefe46a5a.js   |   21 +
 ...r_520a649ed2b1c3b658a695aeefe46a5a_dep.map |    4 +
 ...r_520a649ed2b1c3b658a695aeefe46a5a_dep.md5 |    1 +
 ...r_520a649ed2b1c3b658a695aeefe46a5a_dep.png |  Bin 0 -> 2868 bytes
 .../dir_efcd97b18bba957e8e278307db4f845a.html |  135 +
 .../dir_efcd97b18bba957e8e278307db4f845a.js   |    7 +
 ...r_efcd97b18bba957e8e278307db4f845a_dep.map |    4 +
 ...r_efcd97b18bba957e8e278307db4f845a_dep.md5 |    1 +
 ...r_efcd97b18bba957e8e278307db4f845a_dep.png |  Bin 0 -> 2778 bytes
 docs/manual/doc.svg                           |   12 +
 docs/manual/docd.svg                          |   12 +
 docs/manual/doxygen.css                       | 2244 +++++++++++++
 docs/manual/doxygen.svg                       |   28 +
 docs/manual/doxygen_crawl.html                |  163 +
 docs/manual/dynsections.js                    |  205 ++
 docs/manual/files.html                        |  158 +
 docs/manual/files_dup.js                      |    4 +
 docs/manual/folderclosed.svg                  |   11 +
 docs/manual/folderclosedd.svg                 |   11 +
 docs/manual/folderopen.svg                    |   17 +
 docs/manual/folderopend.svg                   |   12 +
 docs/manual/graph_legend.html                 |  173 +
 docs/manual/graph_legend.md5                  |    1 +
 docs/manual/graph_legend.png                  |  Bin 0 -> 22891 bytes
 docs/manual/hierarchy.html                    |  142 +
 docs/manual/hierarchy.js                      |   34 +
 docs/manual/index.html                        |  114 +
 docs/manual/inherit_graph_0.map               |   38 +
 docs/manual/inherit_graph_0.md5               |    1 +
 docs/manual/inherit_graph_0.png               |  Bin 0 -> 44422 bytes
 docs/manual/inherit_graph_1.map               |    3 +
 docs/manual/inherit_graph_1.md5               |    1 +
 docs/manual/inherit_graph_1.png               |  Bin 0 -> 2310 bytes
 docs/manual/inherit_graph_2.map               |    3 +
 docs/manual/inherit_graph_2.md5               |    1 +
 docs/manual/inherit_graph_2.png               |  Bin 0 -> 2036 bytes
 docs/manual/inherits.html                     |  167 +
 docs/manual/jquery.js                         |   34 +
 docs/manual/logo_small.png                    |  Bin 0 -> 10855 bytes
 docs/manual/menu.js                           |  134 +
 docs/manual/menudata.js                       |   32 +
 docs/manual/minus.svg                         |    8 +
 docs/manual/minusd.svg                        |    8 +
 docs/manual/nav_f.png                         |  Bin 0 -> 153 bytes
 docs/manual/nav_fd.png                        |  Bin 0 -> 169 bytes
 docs/manual/nav_g.png                         |  Bin 0 -> 95 bytes
 docs/manual/nav_h.png                         |  Bin 0 -> 98 bytes
 docs/manual/nav_hd.png                        |  Bin 0 -> 114 bytes
 docs/manual/navtree.css                       |  149 +
 docs/manual/navtree.js                        |  483 +++
 docs/manual/navtreedata.js                    |   45 +
 docs/manual/navtreeindex0.js                  |   69 +
 docs/manual/open.png                          |  Bin 0 -> 123 bytes
 docs/manual/plus.svg                          |    9 +
 docs/manual/plusd.svg                         |    9 +
 docs/manual/resize.js                         |  145 +
 docs/manual/search/all_0.js                   |    6 +
 docs/manual/search/all_1.js                   |    7 +
 docs/manual/search/all_2.js                   |    4 +
 docs/manual/search/all_3.js                   |    4 +
 docs/manual/search/all_4.js                   |    5 +
 docs/manual/search/all_5.js                   |    5 +
 docs/manual/search/all_6.js                   |    4 +
 docs/manual/search/all_7.js                   |    6 +
 docs/manual/search/all_8.js                   |    5 +
 docs/manual/search/classes_0.js               |    6 +
 docs/manual/search/classes_1.js               |    7 +
 docs/manual/search/classes_2.js               |    4 +
 docs/manual/search/classes_3.js               |    4 +
 docs/manual/search/classes_4.js               |    5 +
 docs/manual/search/classes_5.js               |    5 +
 docs/manual/search/classes_6.js               |    4 +
 docs/manual/search/classes_7.js               |    6 +
 docs/manual/search/classes_8.js               |    5 +
 docs/manual/search/close.svg                  |   18 +
 docs/manual/search/mag.svg                    |   24 +
 docs/manual/search/mag_d.svg                  |   24 +
 docs/manual/search/mag_sel.svg                |   31 +
 docs/manual/search/mag_seld.svg               |   31 +
 docs/manual/search/search.css                 |  291 ++
 docs/manual/search/search.js                  |  694 ++++
 docs/manual/search/searchdata.js              |   18 +
 docs/manual/splitbar.png                      |  Bin 0 -> 314 bytes
 docs/manual/splitbard.png                     |  Bin 0 -> 282 bytes
 docs/manual/sync_off.png                      |  Bin 0 -> 853 bytes
 docs/manual/sync_on.png                       |  Bin 0 -> 845 bytes
 docs/manual/tab_a.png                         |  Bin 0 -> 142 bytes
 docs/manual/tab_ad.png                        |  Bin 0 -> 135 bytes
 docs/manual/tab_b.png                         |  Bin 0 -> 169 bytes
 docs/manual/tab_bd.png                        |  Bin 0 -> 173 bytes
 docs/manual/tab_h.png                         |  Bin 0 -> 177 bytes
 docs/manual/tab_hd.png                        |  Bin 0 -> 180 bytes
 docs/manual/tab_s.png                         |  Bin 0 -> 184 bytes
 docs/manual/tab_sd.png                        |  Bin 0 -> 188 bytes
 docs/manual/tabs.css                          |    1 +
 303 files changed, 35356 insertions(+)
 create mode 100644 docs/Doxyfile
 create mode 100644 docs/logo_small.png
 create mode 100644 docs/man3/bayesnet_A2DE.3
 create mode 100644 docs/man3/bayesnet_AODE.3
 create mode 100644 docs/man3/bayesnet_AODELd.3
 create mode 100644 docs/man3/bayesnet_BaseClassifier.3
 create mode 100644 docs/man3/bayesnet_Boost.3
 create mode 100644 docs/man3/bayesnet_BoostA2DE.3
 create mode 100644 docs/man3/bayesnet_BoostAODE.3
 create mode 100644 docs/man3/bayesnet_Classifier.3
 create mode 100644 docs/man3/bayesnet_Ensemble.3
 create mode 100644 docs/man3/bayesnet_KDB.3
 create mode 100644 docs/man3/bayesnet_KDBLd.3
 create mode 100644 docs/man3/bayesnet_Network.3
 create mode 100644 docs/man3/bayesnet_Node.3
 create mode 100644 docs/man3/bayesnet_Proposal.3
 create mode 100644 docs/man3/bayesnet_SPODE.3
 create mode 100644 docs/man3/bayesnet_SPODELd.3
 create mode 100644 docs/man3/bayesnet_SPnDE.3
 create mode 100644 docs/man3/bayesnet_TAN.3
 create mode 100644 docs/man3/bayesnet_TANLd.3
 create mode 100644 docs/manual/_a2_d_e_8cc_source.html
 create mode 100644 docs/manual/_a2_d_e_8h_source.html
 create mode 100644 docs/manual/_a_o_d_e_8cc_source.html
 create mode 100644 docs/manual/_a_o_d_e_8h_source.html
 create mode 100644 docs/manual/_a_o_d_e_ld_8cc_source.html
 create mode 100644 docs/manual/_a_o_d_e_ld_8h_source.html
 create mode 100644 docs/manual/_base_classifier_8h_source.html
 create mode 100644 docs/manual/_boost_8cc_source.html
 create mode 100644 docs/manual/_boost_8h_source.html
 create mode 100644 docs/manual/_boost_a2_d_e_8cc_source.html
 create mode 100644 docs/manual/_boost_a2_d_e_8h_source.html
 create mode 100644 docs/manual/_boost_a_o_d_e_8cc_source.html
 create mode 100644 docs/manual/_boost_a_o_d_e_8h_source.html
 create mode 100644 docs/manual/_classifier_8cc_source.html
 create mode 100644 docs/manual/_classifier_8h_source.html
 create mode 100644 docs/manual/_ensemble_8cc_source.html
 create mode 100644 docs/manual/_ensemble_8h_source.html
 create mode 100644 docs/manual/_k_d_b_8cc_source.html
 create mode 100644 docs/manual/_k_d_b_8h_source.html
 create mode 100644 docs/manual/_k_d_b_ld_8cc_source.html
 create mode 100644 docs/manual/_k_d_b_ld_8h_source.html
 create mode 100644 docs/manual/_network_8cc_source.html
 create mode 100644 docs/manual/_network_8h_source.html
 create mode 100644 docs/manual/_node_8cc_source.html
 create mode 100644 docs/manual/_node_8h_source.html
 create mode 100644 docs/manual/_proposal_8cc_source.html
 create mode 100644 docs/manual/_proposal_8h_source.html
 create mode 100644 docs/manual/_s_p_o_d_e_8cc_source.html
 create mode 100644 docs/manual/_s_p_o_d_e_8h_source.html
 create mode 100644 docs/manual/_s_p_o_d_e_ld_8cc_source.html
 create mode 100644 docs/manual/_s_p_o_d_e_ld_8h_source.html
 create mode 100644 docs/manual/_s_pn_d_e_8cc_source.html
 create mode 100644 docs/manual/_s_pn_d_e_8h_source.html
 create mode 100644 docs/manual/_t_a_n_8cc_source.html
 create mode 100644 docs/manual/_t_a_n_8h_source.html
 create mode 100644 docs/manual/_t_a_n_ld_8cc_source.html
 create mode 100644 docs/manual/_t_a_n_ld_8h_source.html
 create mode 100644 docs/manual/annotated.html
 create mode 100644 docs/manual/annotated_dup.js
 create mode 100644 docs/manual/bc_s.png
 create mode 100644 docs/manual/bc_sd.png
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e.html
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e.html
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld.html
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_base_classifier-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_base_classifier.html
 create mode 100644 docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_boost-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_boost.html
 create mode 100644 docs/manual/classbayesnet_1_1_boost__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_boost__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_boost__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_boost__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_boost__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_boost__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e.html
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e.html
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_classifier-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_classifier.html
 create mode 100644 docs/manual/classbayesnet_1_1_classifier__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_classifier__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_classifier__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_classifier__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_classifier__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble.html
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_ensemble__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b.html
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld.html
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_network-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_network.html
 create mode 100644 docs/manual/classbayesnet_1_1_node-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_node.html
 create mode 100644 docs/manual/classbayesnet_1_1_proposal-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_proposal.html
 create mode 100644 docs/manual/classbayesnet_1_1_proposal__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_proposal__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e.html
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e.html
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n.html
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld-members.html
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld.html
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.png
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5
 create mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.png
 create mode 100644 docs/manual/classes.html
 create mode 100644 docs/manual/clipboard.js
 create mode 100644 docs/manual/closed.png
 create mode 100644 docs/manual/cookie.js
 create mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html
 create mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js
 create mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map
 create mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5
 create mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.png
 create mode 100644 docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html
 create mode 100644 docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js
 create mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html
 create mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js
 create mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map
 create mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5
 create mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png
 create mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html
 create mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js
 create mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map
 create mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5
 create mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.png
 create mode 100644 docs/manual/doc.svg
 create mode 100644 docs/manual/docd.svg
 create mode 100644 docs/manual/doxygen.css
 create mode 100644 docs/manual/doxygen.svg
 create mode 100644 docs/manual/doxygen_crawl.html
 create mode 100644 docs/manual/dynsections.js
 create mode 100644 docs/manual/files.html
 create mode 100644 docs/manual/files_dup.js
 create mode 100644 docs/manual/folderclosed.svg
 create mode 100644 docs/manual/folderclosedd.svg
 create mode 100644 docs/manual/folderopen.svg
 create mode 100644 docs/manual/folderopend.svg
 create mode 100644 docs/manual/graph_legend.html
 create mode 100644 docs/manual/graph_legend.md5
 create mode 100644 docs/manual/graph_legend.png
 create mode 100644 docs/manual/hierarchy.html
 create mode 100644 docs/manual/hierarchy.js
 create mode 100644 docs/manual/index.html
 create mode 100644 docs/manual/inherit_graph_0.map
 create mode 100644 docs/manual/inherit_graph_0.md5
 create mode 100644 docs/manual/inherit_graph_0.png
 create mode 100644 docs/manual/inherit_graph_1.map
 create mode 100644 docs/manual/inherit_graph_1.md5
 create mode 100644 docs/manual/inherit_graph_1.png
 create mode 100644 docs/manual/inherit_graph_2.map
 create mode 100644 docs/manual/inherit_graph_2.md5
 create mode 100644 docs/manual/inherit_graph_2.png
 create mode 100644 docs/manual/inherits.html
 create mode 100644 docs/manual/jquery.js
 create mode 100644 docs/manual/logo_small.png
 create mode 100644 docs/manual/menu.js
 create mode 100644 docs/manual/menudata.js
 create mode 100644 docs/manual/minus.svg
 create mode 100644 docs/manual/minusd.svg
 create mode 100644 docs/manual/nav_f.png
 create mode 100644 docs/manual/nav_fd.png
 create mode 100644 docs/manual/nav_g.png
 create mode 100644 docs/manual/nav_h.png
 create mode 100644 docs/manual/nav_hd.png
 create mode 100644 docs/manual/navtree.css
 create mode 100644 docs/manual/navtree.js
 create mode 100644 docs/manual/navtreedata.js
 create mode 100644 docs/manual/navtreeindex0.js
 create mode 100644 docs/manual/open.png
 create mode 100644 docs/manual/plus.svg
 create mode 100644 docs/manual/plusd.svg
 create mode 100644 docs/manual/resize.js
 create mode 100644 docs/manual/search/all_0.js
 create mode 100644 docs/manual/search/all_1.js
 create mode 100644 docs/manual/search/all_2.js
 create mode 100644 docs/manual/search/all_3.js
 create mode 100644 docs/manual/search/all_4.js
 create mode 100644 docs/manual/search/all_5.js
 create mode 100644 docs/manual/search/all_6.js
 create mode 100644 docs/manual/search/all_7.js
 create mode 100644 docs/manual/search/all_8.js
 create mode 100644 docs/manual/search/classes_0.js
 create mode 100644 docs/manual/search/classes_1.js
 create mode 100644 docs/manual/search/classes_2.js
 create mode 100644 docs/manual/search/classes_3.js
 create mode 100644 docs/manual/search/classes_4.js
 create mode 100644 docs/manual/search/classes_5.js
 create mode 100644 docs/manual/search/classes_6.js
 create mode 100644 docs/manual/search/classes_7.js
 create mode 100644 docs/manual/search/classes_8.js
 create mode 100644 docs/manual/search/close.svg
 create mode 100644 docs/manual/search/mag.svg
 create mode 100644 docs/manual/search/mag_d.svg
 create mode 100644 docs/manual/search/mag_sel.svg
 create mode 100644 docs/manual/search/mag_seld.svg
 create mode 100644 docs/manual/search/search.css
 create mode 100644 docs/manual/search/search.js
 create mode 100644 docs/manual/search/searchdata.js
 create mode 100644 docs/manual/splitbar.png
 create mode 100644 docs/manual/splitbard.png
 create mode 100644 docs/manual/sync_off.png
 create mode 100644 docs/manual/sync_on.png
 create mode 100644 docs/manual/tab_a.png
 create mode 100644 docs/manual/tab_ad.png
 create mode 100644 docs/manual/tab_b.png
 create mode 100644 docs/manual/tab_bd.png
 create mode 100644 docs/manual/tab_h.png
 create mode 100644 docs/manual/tab_hd.png
 create mode 100644 docs/manual/tab_s.png
 create mode 100644 docs/manual/tab_sd.png
 create mode 100644 docs/manual/tabs.css

diff --git a/docs/Doxyfile b/docs/Doxyfile
new file mode 100644
index 0000000..147e0b5
--- /dev/null
+++ b/docs/Doxyfile
@@ -0,0 +1,2911 @@
+# Doxyfile 1.11.0
+
+# This file describes the settings to be used by the documentation system
+# doxygen (www.doxygen.org) for a project.
+#
+# All text after a double hash (##) is considered a comment and is placed in
+# front of the TAG it is preceding.
+#
+# All text after a single hash (#) is considered a comment and will be ignored.
+# The format is:
+# TAG = value [value, ...]
+# For lists, items can also be appended using:
+# TAG += value [value, ...]
+# Values that contain spaces should be placed between quotes (\" \").
+#
+# Note:
+#
+# Use doxygen to compare the used configuration file with the template
+# configuration file:
+# doxygen -x [configFile]
+# Use doxygen to compare the used configuration file with the template
+# configuration file without replacing the environment variables or CMake type
+# replacement variables:
+# doxygen -x_noenv [configFile]
+
+#---------------------------------------------------------------------------
+# Project related configuration options
+#---------------------------------------------------------------------------
+
+# This tag specifies the encoding used for all characters in the configuration
+# file that follow. The default is UTF-8 which is also the encoding used for all
+# text before the first occurrence of this tag. Doxygen uses libiconv (or the
+# iconv built into libc) for the transcoding. See
+# https://www.gnu.org/software/libiconv/ for the list of possible encodings.
+# The default value is: UTF-8.
+
+DOXYFILE_ENCODING      = UTF-8
+
+# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by
+# double-quotes, unless you are using Doxywizard) that should identify the
+# project for which the documentation is generated. This name is used in the
+# title of most generated pages and in a few other places.
+# The default value is: My Project.
+
+PROJECT_NAME           = BayesNet
+
+# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
+# could be handy for archiving the generated documentation or if some version
+# control system is used.
+
+PROJECT_NUMBER         = 1.0.5
+
+# Using the PROJECT_BRIEF tag one can provide an optional one line description
+# for a project that appears at the top of each page and should give viewer a
+# quick idea about the purpose of the project. Keep the description short.
+
+PROJECT_BRIEF          = "Bayesian Network Classifiers using libtorch from scratch"
+
+# With the PROJECT_LOGO tag one can specify a logo or an icon that is included
+# in the documentation. The maximum height of the logo should not exceed 55
+# pixels and the maximum width should not exceed 200 pixels. Doxygen will copy
+# the logo to the output directory.
+
+PROJECT_LOGO           = /Users/rmontanana/Code/BayesNet/docs/logo_small.png
+
+# With the PROJECT_ICON tag one can specify an icon that is included in the tabs
+# when the HTML document is shown. Doxygen will copy the logo to the output
+# directory.
+
+PROJECT_ICON           =
+
+# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path
+# into which the generated documentation will be written. If a relative path is
+# entered, it will be relative to the location where doxygen was started. If
+# left blank the current directory will be used.
+
+OUTPUT_DIRECTORY       = /Users/rmontanana/Code/BayesNet/docs
+
+# If the CREATE_SUBDIRS tag is set to YES then doxygen will create up to 4096
+# sub-directories (in 2 levels) under the output directory of each output format
+# and will distribute the generated files over these directories. Enabling this
+# option can be useful when feeding doxygen a huge amount of source files, where
+# putting all generated files in the same directory would otherwise causes
+# performance problems for the file system. Adapt CREATE_SUBDIRS_LEVEL to
+# control the number of sub-directories.
+# The default value is: NO.
+
+CREATE_SUBDIRS         = NO
+
+# Controls the number of sub-directories that will be created when
+# CREATE_SUBDIRS tag is set to YES. Level 0 represents 16 directories, and every
+# level increment doubles the number of directories, resulting in 4096
+# directories at level 8 which is the default and also the maximum value. The
+# sub-directories are organized in 2 levels, the first level always has a fixed
+# number of 16 directories.
+# Minimum value: 0, maximum value: 8, default value: 8.
+# This tag requires that the tag CREATE_SUBDIRS is set to YES.
+
+CREATE_SUBDIRS_LEVEL   = 8
+
+# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII
+# characters to appear in the names of generated files. If set to NO, non-ASCII
+# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode
+# U+3044.
+# The default value is: NO.
+
+ALLOW_UNICODE_NAMES    = NO
+
+# The OUTPUT_LANGUAGE tag is used to specify the language in which all
+# documentation generated by doxygen is written. Doxygen will use this
+# information to generate all constant output in the proper language.
+# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Bulgarian,
+# Catalan, Chinese, Chinese-Traditional, Croatian, Czech, Danish, Dutch, English
+# (United States), Esperanto, Farsi (Persian), Finnish, French, German, Greek,
+# Hindi, Hungarian, Indonesian, Italian, Japanese, Japanese-en (Japanese with
+# English messages), Korean, Korean-en (Korean with English messages), Latvian,
+# Lithuanian, Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese,
+# Romanian, Russian, Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish,
+# Swedish, Turkish, Ukrainian and Vietnamese.
+# The default value is: English.
+
+OUTPUT_LANGUAGE        = English
+
+# If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member
+# descriptions after the members that are listed in the file and class
+# documentation (similar to Javadoc). Set to NO to disable this.
+# The default value is: YES.
+
+BRIEF_MEMBER_DESC      = YES
+
+# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief
+# description of a member or function before the detailed description
+#
+# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the
+# brief descriptions will be completely suppressed.
+# The default value is: YES.
+
+REPEAT_BRIEF           = YES
+
+# This tag implements a quasi-intelligent brief description abbreviator that is
+# used to form the text in various listings. Each string in this list, if found
+# as the leading text of the brief description, will be stripped from the text
+# and the result, after processing the whole list, is used as the annotated
+# text. Otherwise, the brief description is used as-is. If left blank, the
+# following values are used ($name is automatically replaced with the name of
+# the entity):The $name class, The $name widget, The $name file, is, provides,
+# specifies, contains, represents, a, an and the.
+
+ABBREVIATE_BRIEF       = "The $name class" \
+                         "The $name widget" \
+                         "The $name file" \
+                         is \
+                         provides \
+                         specifies \
+                         contains \
+                         represents \
+                         a \
+                         an \
+                         the
+
+# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then
+# doxygen will generate a detailed section even if there is only a brief
+# description.
+# The default value is: NO.
+
+ALWAYS_DETAILED_SEC    = NO
+
+# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all
+# inherited members of a class in the documentation of that class as if those
+# members were ordinary class members. Constructors, destructors and assignment
+# operators of the base classes will not be shown.
+# The default value is: NO.
+
+INLINE_INHERITED_MEMB  = NO
+
+# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path
+# before files name in the file list and in the header files. If set to NO the
+# shortest path that makes the file name unique will be used
+# The default value is: YES.
+
+FULL_PATH_NAMES        = YES
+
+# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.
+# Stripping is only done if one of the specified strings matches the left-hand
+# part of the path. The tag can be used to show relative paths in the file list.
+# If left blank the directory from which doxygen is run is used as the path to
+# strip.
+#
+# Note that you can specify absolute paths here, but also relative paths, which
+# will be relative from the directory where doxygen is started.
+# This tag requires that the tag FULL_PATH_NAMES is set to YES.
+
+STRIP_FROM_PATH        =
+
+# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the
+# path mentioned in the documentation of a class, which tells the reader which
+# header file to include in order to use a class. If left blank only the name of
+# the header file containing the class definition is used. Otherwise one should
+# specify the list of include paths that are normally passed to the compiler
+# using the -I flag.
+
+STRIP_FROM_INC_PATH    =
+
+# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but
+# less readable) file names. This can be useful is your file systems doesn't
+# support long names like on DOS, Mac, or CD-ROM.
+# The default value is: NO.
+
+SHORT_NAMES            = NO
+
+# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the
+# first line (until the first dot) of a Javadoc-style comment as the brief
+# description. If set to NO, the Javadoc-style will behave just like regular Qt-
+# style comments (thus requiring an explicit @brief command for a brief
+# description.)
+# The default value is: NO.
+
+JAVADOC_AUTOBRIEF      = NO
+
+# If the JAVADOC_BANNER tag is set to YES then doxygen will interpret a line
+# such as
+# /***************
+# as being the beginning of a Javadoc-style comment "banner". If set to NO, the
+# Javadoc-style will behave just like regular comments and it will not be
+# interpreted by doxygen.
+# The default value is: NO.
+
+JAVADOC_BANNER         = NO
+
+# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first
+# line (until the first dot) of a Qt-style comment as the brief description. If
+# set to NO, the Qt-style will behave just like regular Qt-style comments (thus
+# requiring an explicit \brief command for a brief description.)
+# The default value is: NO.
+
+QT_AUTOBRIEF           = NO
+
+# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a
+# multi-line C++ special comment block (i.e. a block of //! or /// comments) as
+# a brief description. This used to be the default behavior. The new default is
+# to treat a multi-line C++ comment block as a detailed description. Set this
+# tag to YES if you prefer the old behavior instead.
+#
+# Note that setting this tag to YES also means that rational rose comments are
+# not recognized any more.
+# The default value is: NO.
+
+MULTILINE_CPP_IS_BRIEF = NO
+
+# By default Python docstrings are displayed as preformatted text and doxygen's
+# special commands cannot be used. By setting PYTHON_DOCSTRING to NO the
+# doxygen's special commands can be used and the contents of the docstring
+# documentation blocks is shown as doxygen documentation.
+# The default value is: YES.
+
+PYTHON_DOCSTRING       = YES
+
+# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the
+# documentation from any documented member that it re-implements.
+# The default value is: YES.
+
+INHERIT_DOCS           = YES
+
+# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new
+# page for each member. If set to NO, the documentation of a member will be part
+# of the file/class/namespace that contains it.
+# The default value is: NO.
+
+SEPARATE_MEMBER_PAGES  = NO
+
+# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen
+# uses this value to replace tabs by spaces in code fragments.
+# Minimum value: 1, maximum value: 16, default value: 4.
+
+TAB_SIZE               = 4
+
+# This tag can be used to specify a number of aliases that act as commands in
+# the documentation. An alias has the form:
+# name=value
+# For example adding
+# "sideeffect=@par Side Effects:^^"
+# will allow you to put the command \sideeffect (or @sideeffect) in the
+# documentation, which will result in a user-defined paragraph with heading
+# "Side Effects:". Note that you cannot put \n's in the value part of an alias
+# to insert newlines (in the resulting output). You can put ^^ in the value part
+# of an alias to insert a newline as if a physical newline was in the original
+# file. When you need a literal { or } or , in the value part of an alias you
+# have to escape them by means of a backslash (\), this can lead to conflicts
+# with the commands \{ and \} for these it is advised to use the version @{ and
+# @} or use a double escape (\\{ and \\})
+
+ALIASES                =
+
+# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources
+# only. Doxygen will then generate output that is more tailored for C. For
+# instance, some of the names that are used will be different. The list of all
+# members will be omitted, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_FOR_C  = NO
+
+# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or
+# Python sources only. Doxygen will then generate output that is more tailored
+# for that language. For instance, namespaces will be presented as packages,
+# qualified scopes will look different, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_JAVA   = NO
+
+# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran
+# sources. Doxygen will then generate output that is tailored for Fortran.
+# The default value is: NO.
+
+OPTIMIZE_FOR_FORTRAN   = NO
+
+# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL
+# sources. Doxygen will then generate output that is tailored for VHDL.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_VHDL   = NO
+
+# Set the OPTIMIZE_OUTPUT_SLICE tag to YES if your project consists of Slice
+# sources only. Doxygen will then generate output that is more tailored for that
+# language. For instance, namespaces will be presented as modules, types will be
+# separated into more groups, etc.
+# The default value is: NO.
+
+OPTIMIZE_OUTPUT_SLICE  = NO
+
+# Doxygen selects the parser to use depending on the extension of the files it
+# parses. With this tag you can assign which parser to use for a given
+# extension. Doxygen has a built-in mapping, but you can override or extend it
+# using this tag. The format is ext=language, where ext is a file extension, and
+# language is one of the parsers supported by doxygen: IDL, Java, JavaScript,
+# Csharp (C#), C, C++, Lex, D, PHP, md (Markdown), Objective-C, Python, Slice,
+# VHDL, Fortran (fixed format Fortran: FortranFixed, free formatted Fortran:
+# FortranFree, unknown formatted Fortran: Fortran. In the later case the parser
+# tries to guess whether the code is fixed or free formatted code, this is the
+# default for Fortran type files). For instance to make doxygen treat .inc files
+# as Fortran files (default is PHP), and .f files as C (default is Fortran),
+# use: inc=Fortran f=C.
+#
+# Note: For files without extension you can use no_extension as a placeholder.
+#
+# Note that for custom extensions you also need to set FILE_PATTERNS otherwise
+# the files are not read by doxygen. When specifying no_extension you should add
+# * to the FILE_PATTERNS.
+#
+# Note see also the list of default file extension mappings.
+
+EXTENSION_MAPPING      =
+
+# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments
+# according to the Markdown format, which allows for more readable
+# documentation. See https://daringfireball.net/projects/markdown/ for details.
+# The output of markdown processing is further processed by doxygen, so you can
+# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in
+# case of backward compatibilities issues.
+# The default value is: YES.
+
+MARKDOWN_SUPPORT       = YES
+
+# When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up
+# to that level are automatically included in the table of contents, even if
+# they do not have an id attribute.
+# Note: This feature currently applies only to Markdown headings.
+# Minimum value: 0, maximum value: 99, default value: 6.
+# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.
+
+TOC_INCLUDE_HEADINGS   = 6
+
+# The MARKDOWN_ID_STYLE tag can be used to specify the algorithm used to
+# generate identifiers for the Markdown headings. Note: Every identifier is
+# unique.
+# Possible values are: DOXYGEN use a fixed 'autotoc_md' string followed by a
+# sequence number starting at 0 and GITHUB use the lower case version of title
+# with any whitespace replaced by '-' and punctuation characters removed.
+# The default value is: DOXYGEN.
+# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.
+
+MARKDOWN_ID_STYLE      = DOXYGEN
+
+# When enabled doxygen tries to link words that correspond to documented
+# classes, or namespaces to their corresponding documentation. Such a link can
+# be prevented in individual cases by putting a % sign in front of the word or
+# globally by setting AUTOLINK_SUPPORT to NO.
+# The default value is: YES.
+
+AUTOLINK_SUPPORT       = YES
+
+# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want
+# to include (a tag file for) the STL sources as input, then you should set this
+# tag to YES in order to let doxygen match functions declarations and
+# definitions whose arguments contain STL classes (e.g. func(std::string);
+# versus func(std::string) {}). This also makes the inheritance and
+# collaboration diagrams that involve STL classes more complete and accurate.
+# The default value is: NO.
+
+BUILTIN_STL_SUPPORT    = NO
+
+# If you use Microsoft's C++/CLI language, you should set this option to YES to
+# enable parsing support.
+# The default value is: NO.
+
+CPP_CLI_SUPPORT        = NO
+
+# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:
+# https://www.riverbankcomputing.com/software) sources only. Doxygen will parse
+# them like normal C++ but will assume all classes use public instead of private
+# inheritance when no explicit protection keyword is present.
+# The default value is: NO.
+
+SIP_SUPPORT            = NO
+
+# For Microsoft's IDL there are propget and propput attributes to indicate
+# getter and setter methods for a property. Setting this option to YES will make
+# doxygen to replace the get and set methods by a property in the documentation.
+# This will only work if the methods are indeed getting or setting a simple
+# type. If this is not the case, or you want to show the methods anyway, you
+# should set this option to NO.
+# The default value is: YES.
+
+IDL_PROPERTY_SUPPORT   = YES
+
+# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC
+# tag is set to YES then doxygen will reuse the documentation of the first
+# member in the group (if any) for the other members of the group. By default
+# all members of a group must be documented explicitly.
+# The default value is: NO.
+
+DISTRIBUTE_GROUP_DOC   = NO
+
+# If one adds a struct or class to a group and this option is enabled, then also
+# any nested class or struct is added to the same group. By default this option
+# is disabled and one has to add nested compounds explicitly via \ingroup.
+# The default value is: NO.
+
+GROUP_NESTED_COMPOUNDS = NO
+
+# Set the SUBGROUPING tag to YES to allow class member groups of the same type
+# (for instance a group of public functions) to be put as a subgroup of that
+# type (e.g. under the Public Functions section). Set it to NO to prevent
+# subgrouping. Alternatively, this can be done per class using the
+# \nosubgrouping command.
+# The default value is: YES.
+
+SUBGROUPING            = YES
+
+# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions
+# are shown inside the group in which they are included (e.g. using \ingroup)
+# instead of on a separate page (for HTML and Man pages) or section (for LaTeX
+# and RTF).
+#
+# Note that this feature does not work in combination with
+# SEPARATE_MEMBER_PAGES.
+# The default value is: NO.
+
+INLINE_GROUPED_CLASSES = NO
+
+# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions
+# with only public data fields or simple typedef fields will be shown inline in
+# the documentation of the scope in which they are defined (i.e. file,
+# namespace, or group documentation), provided this scope is documented. If set
+# to NO, structs, classes, and unions are shown on a separate page (for HTML and
+# Man pages) or section (for LaTeX and RTF).
+# The default value is: NO.
+
+INLINE_SIMPLE_STRUCTS  = NO
+
+# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or
+# enum is documented as struct, union, or enum with the name of the typedef. So
+# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
+# with name TypeT. When disabled the typedef will appear as a member of a file,
+# namespace, or class. And the struct will be named TypeS. This can typically be
+# useful for C code in case the coding convention dictates that all compound
+# types are typedef'ed and only the typedef is referenced, never the tag name.
+# The default value is: NO.
+
+TYPEDEF_HIDES_STRUCT   = NO
+
+# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This
+# cache is used to resolve symbols given their name and scope. Since this can be
+# an expensive process and often the same symbol appears multiple times in the
+# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small
+# doxygen will become slower. If the cache is too large, memory is wasted. The
+# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range
+# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536
+# symbols. At the end of a run doxygen will report the cache usage and suggest
+# the optimal cache size from a speed point of view.
+# Minimum value: 0, maximum value: 9, default value: 0.
+
+LOOKUP_CACHE_SIZE      = 0
+
+# The NUM_PROC_THREADS specifies the number of threads doxygen is allowed to use
+# during processing. When set to 0 doxygen will based this on the number of
+# cores available in the system. You can set it explicitly to a value larger
+# than 0 to get more control over the balance between CPU load and processing
+# speed. At this moment only the input processing can be done using multiple
+# threads. Since this is still an experimental feature the default is set to 1,
+# which effectively disables parallel processing. Please report any issues you
+# encounter. Generating dot graphs in parallel is controlled by the
+# DOT_NUM_THREADS setting.
+# Minimum value: 0, maximum value: 32, default value: 1.
+
+NUM_PROC_THREADS       = 1
+
+# If the TIMESTAMP tag is set different from NO then each generated page will
+# contain the date or date and time when the page was generated. Setting this to
+# NO can help when comparing the output of multiple runs.
+# Possible values are: YES, NO, DATETIME and DATE.
+# The default value is: NO.
+
+TIMESTAMP              = NO
+
+#---------------------------------------------------------------------------
+# Build related configuration options
+#---------------------------------------------------------------------------
+
+# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in
+# documentation are documented, even if no documentation was available. Private
+# class members and static file members will be hidden unless the
+# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.
+# Note: This will also disable the warnings about undocumented members that are
+# normally produced when WARNINGS is set to YES.
+# The default value is: NO.
+
+EXTRACT_ALL            = NO
+
+# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will
+# be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PRIVATE        = NO
+
+# If the EXTRACT_PRIV_VIRTUAL tag is set to YES, documented private virtual
+# methods of a class will be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PRIV_VIRTUAL   = NO
+
+# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal
+# scope will be included in the documentation.
+# The default value is: NO.
+
+EXTRACT_PACKAGE        = NO
+
+# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be
+# included in the documentation.
+# The default value is: NO.
+
+EXTRACT_STATIC         = NO
+
+# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined
+# locally in source files will be included in the documentation. If set to NO,
+# only classes defined in header files are included. Does not have any effect
+# for Java sources.
+# The default value is: YES.
+
+EXTRACT_LOCAL_CLASSES  = YES
+
+# This flag is only useful for Objective-C code. If set to YES, local methods,
+# which are defined in the implementation section but not in the interface are
+# included in the documentation. If set to NO, only methods in the interface are
+# included.
+# The default value is: NO.
+
+EXTRACT_LOCAL_METHODS  = NO
+
+# If this flag is set to YES, the members of anonymous namespaces will be
+# extracted and appear in the documentation as a namespace called
+# 'anonymous_namespace{file}', where file will be replaced with the base name of
+# the file that contains the anonymous namespace. By default anonymous namespace
+# are hidden.
+# The default value is: NO.
+
+EXTRACT_ANON_NSPACES   = NO
+
+# If this flag is set to YES, the name of an unnamed parameter in a declaration
+# will be determined by the corresponding definition. By default unnamed
+# parameters remain unnamed in the output.
+# The default value is: YES.
+
+RESOLVE_UNNAMED_PARAMS = YES
+
+# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all
+# undocumented members inside documented classes or files. If set to NO these
+# members will be included in the various overviews, but no documentation
+# section is generated. This option has no effect if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_MEMBERS     = NO
+
+# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all
+# undocumented classes that are normally visible in the class hierarchy. If set
+# to NO, these classes will be included in the various overviews. This option
+# will also hide undocumented C++ concepts if enabled. This option has no effect
+# if EXTRACT_ALL is enabled.
+# The default value is: NO.
+
+HIDE_UNDOC_CLASSES     = NO
+
+# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend
+# declarations. If set to NO, these declarations will be included in the
+# documentation.
+# The default value is: NO.
+
+HIDE_FRIEND_COMPOUNDS  = NO
+
+# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any
+# documentation blocks found inside the body of a function. If set to NO, these
+# blocks will be appended to the function's detailed documentation block.
+# The default value is: NO.
+
+HIDE_IN_BODY_DOCS      = NO
+
+# The INTERNAL_DOCS tag determines if documentation that is typed after a
+# \internal command is included. If the tag is set to NO then the documentation
+# will be excluded. Set it to YES to include the internal documentation.
+# The default value is: NO.
+
+INTERNAL_DOCS          = NO
+
+# With the correct setting of option CASE_SENSE_NAMES doxygen will better be
+# able to match the capabilities of the underlying filesystem. In case the
+# filesystem is case sensitive (i.e. it supports files in the same directory
+# whose names only differ in casing), the option must be set to YES to properly
+# deal with such files in case they appear in the input. For filesystems that
+# are not case sensitive the option should be set to NO to properly deal with
+# output files written for symbols that only differ in casing, such as for two
+# classes, one named CLASS and the other named Class, and to also support
+# references to files without having to specify the exact matching casing. On
+# Windows (including Cygwin) and MacOS, users should typically set this option
+# to NO, whereas on Linux or other Unix flavors it should typically be set to
+# YES.
+# Possible values are: SYSTEM, NO and YES.
+# The default value is: SYSTEM.
+
+CASE_SENSE_NAMES       = SYSTEM
+
+# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with
+# their full class and namespace scopes in the documentation. If set to YES, the
+# scope will be hidden.
+# The default value is: NO.
+
+HIDE_SCOPE_NAMES       = NO
+
+# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will
+# append additional text to a page's title, such as Class Reference. If set to
+# YES the compound reference will be hidden.
+# The default value is: NO.
+
+HIDE_COMPOUND_REFERENCE= NO
+
+# If the SHOW_HEADERFILE tag is set to YES then the documentation for a class
+# will show which file needs to be included to use the class.
+# The default value is: YES.
+
+SHOW_HEADERFILE        = YES
+
+# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of
+# the files that are included by a file in the documentation of that file.
+# The default value is: YES.
+
+SHOW_INCLUDE_FILES     = YES
+
+# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each
+# grouped member an include statement to the documentation, telling the reader
+# which file to include in order to use the member.
+# The default value is: NO.
+
+SHOW_GROUPED_MEMB_INC  = NO
+
+# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include
+# files with double quotes in the documentation rather than with sharp brackets.
+# The default value is: NO.
+
+FORCE_LOCAL_INCLUDES   = NO
+
+# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the
+# documentation for inline members.
+# The default value is: YES.
+
+INLINE_INFO            = YES
+
+# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the
+# (detailed) documentation of file and class members alphabetically by member
+# name. If set to NO, the members will appear in declaration order.
+# The default value is: YES.
+
+SORT_MEMBER_DOCS       = YES
+
+# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief
+# descriptions of file, namespace and class members alphabetically by member
+# name. If set to NO, the members will appear in declaration order. Note that
+# this will also influence the order of the classes in the class list.
+# The default value is: NO.
+
+SORT_BRIEF_DOCS        = NO
+
+# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the
+# (brief and detailed) documentation of class members so that constructors and
+# destructors are listed first. If set to NO the constructors will appear in the
+# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.
+# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief
+# member documentation.
+# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting
+# detailed member documentation.
+# The default value is: NO.
+
+SORT_MEMBERS_CTORS_1ST = NO
+
+# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy
+# of group names into alphabetical order. If set to NO the group names will
+# appear in their defined order.
+# The default value is: NO.
+
+SORT_GROUP_NAMES       = NO
+
+# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by
+# fully-qualified names, including namespaces. If set to NO, the class list will
+# be sorted only by class name, not including the namespace part.
+# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
+# Note: This option applies only to the class list, not to the alphabetical
+# list.
+# The default value is: NO.
+
+SORT_BY_SCOPE_NAME     = NO
+
+# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper
+# type resolution of all parameters of a function it will reject a match between
+# the prototype and the implementation of a member function even if there is
+# only one candidate or it is obvious which candidate to choose by doing a
+# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still
+# accept a match between prototype and implementation in such cases.
+# The default value is: NO.
+
+STRICT_PROTO_MATCHING  = NO
+
+# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo
+# list. This list is created by putting \todo commands in the documentation.
+# The default value is: YES.
+
+GENERATE_TODOLIST      = YES
+
+# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test
+# list. This list is created by putting \test commands in the documentation.
+# The default value is: YES.
+
+GENERATE_TESTLIST      = YES
+
+# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug
+# list. This list is created by putting \bug commands in the documentation.
+# The default value is: YES.
+
+GENERATE_BUGLIST       = YES
+
+# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO)
+# the deprecated list. This list is created by putting \deprecated commands in
+# the documentation.
+# The default value is: YES.
+
+GENERATE_DEPRECATEDLIST= YES
+
+# The ENABLED_SECTIONS tag can be used to enable conditional documentation
+# sections, marked by \if <section_label> ... \endif and \cond <section_label>
+# ... \endcond blocks.
+
+ENABLED_SECTIONS       =
+
+# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the
+# initial value of a variable or macro / define can have for it to appear in the
+# documentation. If the initializer consists of more lines than specified here
+# it will be hidden. Use a value of 0 to hide initializers completely. The
+# appearance of the value of individual variables and macros / defines can be
+# controlled using \showinitializer or \hideinitializer command in the
+# documentation regardless of this setting.
+# Minimum value: 0, maximum value: 10000, default value: 30.
+
+MAX_INITIALIZER_LINES  = 30
+
+# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at
+# the bottom of the documentation of classes and structs. If set to YES, the
+# list will mention the files that were used to generate the documentation.
+# The default value is: YES.
+
+SHOW_USED_FILES        = YES
+
+# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This
+# will remove the Files entry from the Quick Index and from the Folder Tree View
+# (if specified).
+# The default value is: YES.
+
+SHOW_FILES             = YES
+
+# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces
+# page. This will remove the Namespaces entry from the Quick Index and from the
+# Folder Tree View (if specified).
+# The default value is: YES.
+
+SHOW_NAMESPACES        = YES
+
+# The FILE_VERSION_FILTER tag can be used to specify a program or script that
+# doxygen should invoke to get the current version for each file (typically from
+# the version control system). Doxygen will invoke the program by executing (via
+# popen()) the command command input-file, where command is the value of the
+# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided
+# by doxygen. Whatever the program writes to standard output is used as the file
+# version. For an example see the documentation.
+
+FILE_VERSION_FILTER    =
+
+# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
+# by doxygen. The layout file controls the global structure of the generated
+# output files in an output format independent way. To create the layout file
+# that represents doxygen's defaults, run doxygen with the -l option. You can
+# optionally specify a file name after the option, if omitted DoxygenLayout.xml
+# will be used as the name of the layout file. See also section "Changing the
+# layout of pages" for information.
+#
+# Note that if you run doxygen from a directory containing a file called
+# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE
+# tag is left empty.
+
+LAYOUT_FILE            =
+
+# The CITE_BIB_FILES tag can be used to specify one or more bib files containing
+# the reference definitions. This must be a list of .bib files. The .bib
+# extension is automatically appended if omitted. This requires the bibtex tool
+# to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info.
+# For LaTeX the style of the bibliography can be controlled using
+# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the
+# search path. See also \cite for info how to create references.
+
+CITE_BIB_FILES         =
+
+#---------------------------------------------------------------------------
+# Configuration options related to warning and progress messages
+#---------------------------------------------------------------------------
+
+# The QUIET tag can be used to turn on/off the messages that are generated to
+# standard output by doxygen. If QUIET is set to YES this implies that the
+# messages are off.
+# The default value is: NO.
+
+QUIET                  = NO
+
+# The WARNINGS tag can be used to turn on/off the warning messages that are
+# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES
+# this implies that the warnings are on.
+#
+# Tip: Turn warnings on while writing the documentation.
+# The default value is: YES.
+
+WARNINGS               = YES
+
+# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate
+# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag
+# will automatically be disabled.
+# The default value is: YES.
+
+WARN_IF_UNDOCUMENTED   = YES
+
+# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for
+# potential errors in the documentation, such as documenting some parameters in
+# a documented function twice, or documenting parameters that don't exist or
+# using markup commands wrongly.
+# The default value is: YES.
+
+WARN_IF_DOC_ERROR      = YES
+
+# If WARN_IF_INCOMPLETE_DOC is set to YES, doxygen will warn about incomplete
+# function parameter documentation. If set to NO, doxygen will accept that some
+# parameters have no documentation without warning.
+# The default value is: YES.
+
+WARN_IF_INCOMPLETE_DOC = YES
+
+# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that
+# are documented, but have no documentation for their parameters or return
+# value. If set to NO, doxygen will only warn about wrong parameter
+# documentation, but not about the absence of documentation. If EXTRACT_ALL is
+# set to YES then this flag will automatically be disabled. See also
+# WARN_IF_INCOMPLETE_DOC
+# The default value is: NO.
+
+WARN_NO_PARAMDOC       = NO
+
+# If WARN_IF_UNDOC_ENUM_VAL option is set to YES, doxygen will warn about
+# undocumented enumeration values. If set to NO, doxygen will accept
+# undocumented enumeration values. If EXTRACT_ALL is set to YES then this flag
+# will automatically be disabled.
+# The default value is: NO.
+
+WARN_IF_UNDOC_ENUM_VAL = NO
+
+# If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when
+# a warning is encountered. If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS
+# then doxygen will continue running as if WARN_AS_ERROR tag is set to NO, but
+# at the end of the doxygen process doxygen will return with a non-zero status.
+# If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS_PRINT then doxygen behaves
+# like FAIL_ON_WARNINGS but in case no WARN_LOGFILE is defined doxygen will not
+# write the warning messages in between other messages but write them at the end
+# of a run, in case a WARN_LOGFILE is defined the warning messages will be
+# besides being in the defined file also be shown at the end of a run, unless
+# the WARN_LOGFILE is defined as - i.e. standard output (stdout) in that case
+# the behavior will remain as with the setting FAIL_ON_WARNINGS.
+# Possible values are: NO, YES, FAIL_ON_WARNINGS and FAIL_ON_WARNINGS_PRINT.
+# The default value is: NO.
+
+WARN_AS_ERROR          = NO
+
+# The WARN_FORMAT tag determines the format of the warning messages that doxygen
+# can produce. The string should contain the $file, $line, and $text tags, which
+# will be replaced by the file and line number from which the warning originated
+# and the warning text. Optionally the format may contain $version, which will
+# be replaced by the version of the file (if it could be obtained via
+# FILE_VERSION_FILTER)
+# See also: WARN_LINE_FORMAT
+# The default value is: $file:$line: $text.
+
+WARN_FORMAT            = "$file:$line: $text"
+
+# In the $text part of the WARN_FORMAT command it is possible that a reference
+# to a more specific place is given. To make it easier to jump to this place
+# (outside of doxygen) the user can define a custom "cut" / "paste" string.
+# Example:
+# WARN_LINE_FORMAT = "'vi $file +$line'"
+# See also: WARN_FORMAT
+# The default value is: at line $line of file $file.
+
+WARN_LINE_FORMAT       = "at line $line of file $file"
+
+# The WARN_LOGFILE tag can be used to specify a file to which warning and error
+# messages should be written. If left blank the output is written to standard
+# error (stderr). In case the file specified cannot be opened for writing the
+# warning and error messages are written to standard error. When as file - is
+# specified the warning and error messages are written to standard output
+# (stdout).
+
+WARN_LOGFILE           =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the input files
+#---------------------------------------------------------------------------
+
+# The INPUT tag is used to specify the files and/or directories that contain
+# documented source files. You may enter file names like myfile.cpp or
+# directories like /usr/src/myproject. Separate the files or directories with
+# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
+# Note: If this tag is empty the current directory is searched.
+
+INPUT                  = /Users/rmontanana/Code/BayesNet/bayesnet
+
+# This tag can be used to specify the character encoding of the source files
+# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
+# libiconv (or the iconv built into libc) for the transcoding. See the libiconv
+# documentation (see:
+# https://www.gnu.org/software/libiconv/) for the list of possible encodings.
+# See also: INPUT_FILE_ENCODING
+# The default value is: UTF-8.
+
+INPUT_ENCODING         = UTF-8
+
+# This tag can be used to specify the character encoding of the source files
+# that doxygen parses The INPUT_FILE_ENCODING tag can be used to specify
+# character encoding on a per file pattern basis. Doxygen will compare the file
+# name with each pattern and apply the encoding instead of the default
+# INPUT_ENCODING) if there is a match. The character encodings are a list of the
+# form: pattern=encoding (like *.php=ISO-8859-1).
+# See also: INPUT_ENCODING for further information on supported encodings.
+
+INPUT_FILE_ENCODING    =
+
+# If the value of the INPUT tag contains directories, you can use the
+# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and
+# *.h) to filter out the source-files in the directories.
+#
+# Note that for custom extensions or not directly supported extensions you also
+# need to set EXTENSION_MAPPING for the extension otherwise the files are not
+# read by doxygen.
+#
+# Note the list of default checked file patterns might differ from the list of
+# default file extension mappings.
+#
+# If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cxxm,
+# *.cpp, *.cppm, *.ccm, *.c++, *.c++m, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl,
+# *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp, *.h++, *.ixx, *.l, *.cs, *.d,
+# *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown, *.md, *.mm, *.dox (to
+# be provided as doxygen C comment), *.py, *.pyw, *.f90, *.f95, *.f03, *.f08,
+# *.f18, *.f, *.for, *.vhd, *.vhdl, *.ucf, *.qsf and *.ice.
+
+FILE_PATTERNS          = *.c \
+                         *.cc \
+                         *.cxx \
+                         *.cxxm \
+                         *.cpp \
+                         *.cppm \
+                         *.ccm \
+                         *.c++ \
+                         *.c++m \
+                         *.java \
+                         *.ii \
+                         *.ixx \
+                         *.ipp \
+                         *.i++ \
+                         *.inl \
+                         *.idl \
+                         *.ddl \
+                         *.odl \
+                         *.h \
+                         *.hh \
+                         *.hxx \
+                         *.hpp \
+                         *.h++ \
+                         *.ixx \
+                         *.l \
+                         *.cs \
+                         *.d \
+                         *.php \
+                         *.php4 \
+                         *.php5 \
+                         *.phtml \
+                         *.inc \
+                         *.m \
+                         *.markdown \
+                         *.md \
+                         *.mm \
+                         *.dox \
+                         *.py \
+                         *.pyw \
+                         *.f90 \
+                         *.f95 \
+                         *.f03 \
+                         *.f08 \
+                         *.f18 \
+                         *.f \
+                         *.for \
+                         *.vhd \
+                         *.vhdl \
+                         *.ucf \
+                         *.qsf \
+                         *.ice
+
+# The RECURSIVE tag can be used to specify whether or not subdirectories should
+# be searched for input files as well.
+# The default value is: NO.
+
+RECURSIVE              = YES
+
+# The EXCLUDE tag can be used to specify files and/or directories that should be
+# excluded from the INPUT source files. This way you can easily exclude a
+# subdirectory from a directory tree whose root is specified with the INPUT tag.
+#
+# Note that relative paths are relative to the directory from which doxygen is
+# run.
+
+EXCLUDE                = feature_selection/* \
+                         utils/* \
+                         tests/* \
+                         examples/* \
+                         bayesnet/tests/* \
+                         bayesnet/examples/* \
+                         bayesnet/utils/* \
+                         bayesnet/feature_selection/*
+EXCLUDE                += utils/*
+
+# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
+# directories that are symbolic links (a Unix file system feature) are excluded
+# from the input.
+# The default value is: NO.
+
+EXCLUDE_SYMLINKS       = NO
+
+# If the value of the INPUT tag contains directories, you can use the
+# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
+# certain files from those directories.
+#
+# Note that the wildcards are matched against the file with absolute path, so to
+# exclude all test directories for example use the pattern */test/*
+
+EXCLUDE_PATTERNS       = */feature_selection/*
+EXCLUDE_PATTERNS       += */utils/*
+
+# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
+# (namespaces, classes, functions, etc.) that should be excluded from the
+# output. The symbol name can be a fully qualified name, a word, or if the
+# wildcard * is used, a substring. Examples: ANamespace, AClass,
+# ANamespace::AClass, ANamespace::*Test
+
+EXCLUDE_SYMBOLS        =
+
+# The EXAMPLE_PATH tag can be used to specify one or more files or directories
+# that contain example code fragments that are included (see the \include
+# command).
+
+EXAMPLE_PATH           =
+
+# If the value of the EXAMPLE_PATH tag contains directories, you can use the
+# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and
+# *.h) to filter out the source-files in the directories. If left blank all
+# files are included.
+
+EXAMPLE_PATTERNS       = *
+
+# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
+# searched for input files to be used with the \include or \dontinclude commands
+# irrespective of the value of the RECURSIVE tag.
+# The default value is: NO.
+
+EXAMPLE_RECURSIVE      = NO
+
+# The IMAGE_PATH tag can be used to specify one or more files or directories
+# that contain images that are to be included in the documentation (see the
+# \image command).
+
+IMAGE_PATH             =
+
+# The INPUT_FILTER tag can be used to specify a program that doxygen should
+# invoke to filter for each input file. Doxygen will invoke the filter program
+# by executing (via popen()) the command:
+#
+# <filter> <input-file>
+#
+# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the
+# name of an input file. Doxygen will then use the output that the filter
+# program writes to standard output. If FILTER_PATTERNS is specified, this tag
+# will be ignored.
+#
+# Note that the filter must not add or remove lines; it is applied before the
+# code is scanned, but not when the output code is generated. If lines are added
+# or removed, the anchors will not be placed correctly.
+#
+# Note that doxygen will use the data processed and written to standard output
+# for further processing, therefore nothing else, like debug statements or used
+# commands (so in case of a Windows batch file always use @echo OFF), should be
+# written to standard output.
+#
+# Note that for custom extensions or not directly supported extensions you also
+# need to set EXTENSION_MAPPING for the extension otherwise the files are not
+# properly processed by doxygen.
+
+INPUT_FILTER           =
+
+# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
+# basis. Doxygen will compare the file name with each pattern and apply the
+# filter if there is a match. The filters are a list of the form: pattern=filter
+# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how
+# filters are used. If the FILTER_PATTERNS tag is empty or if none of the
+# patterns match the file name, INPUT_FILTER is applied.
+#
+# Note that for custom extensions or not directly supported extensions you also
+# need to set EXTENSION_MAPPING for the extension otherwise the files are not
+# properly processed by doxygen.
+
+FILTER_PATTERNS        =
+
+# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
+# INPUT_FILTER) will also be used to filter the input files that are used for
+# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).
+# The default value is: NO.
+
+FILTER_SOURCE_FILES    = NO
+
+# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
+# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and
+# it is also possible to disable source filtering for a specific pattern using
+# *.ext= (so without naming a filter).
+# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.
+
+FILTER_SOURCE_PATTERNS =
+
+# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that
+# is part of the input, its contents will be placed on the main page
+# (index.html). This can be useful if you have a project on for instance GitHub
+# and want to reuse the introduction page also for the doxygen output.
+
+USE_MDFILE_AS_MAINPAGE =
+
+# The Fortran standard specifies that for fixed formatted Fortran code all
+# characters from position 72 are to be considered as comment. A common
+# extension is to allow longer lines before the automatic comment starts. The
+# setting FORTRAN_COMMENT_AFTER will also make it possible that longer lines can
+# be processed before the automatic comment starts.
+# Minimum value: 7, maximum value: 10000, default value: 72.
+
+FORTRAN_COMMENT_AFTER  = 72
+
+#---------------------------------------------------------------------------
+# Configuration options related to source browsing
+#---------------------------------------------------------------------------
+
+# If the SOURCE_BROWSER tag is set to YES then a list of source files will be
+# generated. Documented entities will be cross-referenced with these sources.
+#
+# Note: To get rid of all source code in the generated output, make sure that
+# also VERBATIM_HEADERS is set to NO.
+# The default value is: NO.
+
+SOURCE_BROWSER         = YES
+
+# Setting the INLINE_SOURCES tag to YES will include the body of functions,
+# multi-line macros, enums or list initialized variables directly into the
+# documentation.
+# The default value is: NO.
+
+INLINE_SOURCES         = NO
+
+# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any
+# special comment blocks from generated source code fragments. Normal C, C++ and
+# Fortran comments will always remain visible.
+# The default value is: YES.
+
+STRIP_CODE_COMMENTS    = YES
+
+# If the REFERENCED_BY_RELATION tag is set to YES then for each documented
+# entity all documented functions referencing it will be listed.
+# The default value is: NO.
+
+REFERENCED_BY_RELATION = NO
+
+# If the REFERENCES_RELATION tag is set to YES then for each documented function
+# all documented entities called/used by that function will be listed.
+# The default value is: NO.
+
+REFERENCES_RELATION    = NO
+
+# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set
+# to YES then the hyperlinks from functions in REFERENCES_RELATION and
+# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will
+# link to the documentation.
+# The default value is: YES.
+
+REFERENCES_LINK_SOURCE = YES
+
+# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the
+# source code will show a tooltip with additional information such as prototype,
+# brief description and links to the definition and documentation. Since this
+# will make the HTML file larger and loading of large files a bit slower, you
+# can opt to disable this feature.
+# The default value is: YES.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+SOURCE_TOOLTIPS        = YES
+
+# If the USE_HTAGS tag is set to YES then the references to source code will
+# point to the HTML generated by the htags(1) tool instead of doxygen built-in
+# source browser. The htags tool is part of GNU's global source tagging system
+# (see https://www.gnu.org/software/global/global.html). You will need version
+# 4.8.6 or higher.
+#
+# To use it do the following:
+# - Install the latest version of global
+# - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file
+# - Make sure the INPUT points to the root of the source tree
+# - Run doxygen as normal
+#
+# Doxygen will invoke htags (and that will in turn invoke gtags), so these
+# tools must be available from the command line (i.e. in the search path).
+#
+# The result: instead of the source browser generated by doxygen, the links to
+# source code will now point to the output of htags.
+# The default value is: NO.
+# This tag requires that the tag SOURCE_BROWSER is set to YES.
+
+USE_HTAGS              = NO
+
+# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a
+# verbatim copy of the header file for each class for which an include is
+# specified. Set to NO to disable this.
+# See also: Section \class.
+# The default value is: YES.
+
+VERBATIM_HEADERS       = YES
+
+# If the CLANG_ASSISTED_PARSING tag is set to YES then doxygen will use the
+# clang parser (see:
+# http://clang.llvm.org/) for more accurate parsing at the cost of reduced
+# performance. This can be particularly helpful with template rich C++ code for
+# which doxygen's built-in parser lacks the necessary type information.
+# Note: The availability of this option depends on whether or not doxygen was
+# generated with the -Duse_libclang=ON option for CMake.
+# The default value is: NO.
+
+CLANG_ASSISTED_PARSING = NO
+
+# If the CLANG_ASSISTED_PARSING tag is set to YES and the CLANG_ADD_INC_PATHS
+# tag is set to YES then doxygen will add the directory of each input to the
+# include path.
+# The default value is: YES.
+# This tag requires that the tag CLANG_ASSISTED_PARSING is set to YES.
+
+CLANG_ADD_INC_PATHS    = YES
+
+# If clang assisted parsing is enabled you can provide the compiler with command
+# line options that you would normally use when invoking the compiler. Note that
+# the include paths will already be set by doxygen for the files and directories
+# specified with INPUT and INCLUDE_PATH.
+# This tag requires that the tag CLANG_ASSISTED_PARSING is set to YES.
+
+CLANG_OPTIONS          =
+
+# If clang assisted parsing is enabled you can provide the clang parser with the
+# path to the directory containing a file called compile_commands.json. This
+# file is the compilation database (see:
+# http://clang.llvm.org/docs/HowToSetupToolingForLLVM.html) containing the
+# options used when the source files were built. This is equivalent to
+# specifying the -p option to a clang tool, such as clang-check. These options
+# will then be passed to the parser. Any options specified with CLANG_OPTIONS
+# will be added as well.
+# Note: The availability of this option depends on whether or not doxygen was
+# generated with the -Duse_libclang=ON option for CMake.
+
+CLANG_DATABASE_PATH    =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the alphabetical class index
+#---------------------------------------------------------------------------
+
+# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all
+# compounds will be generated. Enable this if the project contains a lot of
+# classes, structs, unions or interfaces.
+# The default value is: YES.
+
+ALPHABETICAL_INDEX     = YES
+
+# The IGNORE_PREFIX tag can be used to specify a prefix (or a list of prefixes)
+# that should be ignored while generating the index headers. The IGNORE_PREFIX
+# tag works for classes, function and member names. The entity will be placed in
+# the alphabetical list under the first letter of the entity name that remains
+# after removing the prefix.
+# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.
+
+IGNORE_PREFIX          =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the HTML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output
+# The default value is: YES.
+
+GENERATE_HTML          = YES
+
+# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_OUTPUT            = manual
+
+# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each
+# generated HTML page (for example: .htm, .php, .asp).
+# The default value is: .html.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FILE_EXTENSION    = .html
+
+# The HTML_HEADER tag can be used to specify a user-defined HTML header file for
+# each generated HTML page. If the tag is left blank doxygen will generate a
+# standard header.
+#
+# To get valid HTML the header file that includes any scripts and style sheets
+# that doxygen needs, which is dependent on the configuration options used (e.g.
+# the setting GENERATE_TREEVIEW). It is highly recommended to start with a
+# default header using
+# doxygen -w html new_header.html new_footer.html new_stylesheet.css
+# YourConfigFile
+# and then modify the file new_header.html. See also section "Doxygen usage"
+# for information on how to generate the default header that doxygen normally
+# uses.
+# Note: The header is subject to change so you typically have to regenerate the
+# default header when upgrading to a newer version of doxygen. For a description
+# of the possible markers and block names see the documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_HEADER            =
+
+# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each
+# generated HTML page. If the tag is left blank doxygen will generate a standard
+# footer. See HTML_HEADER for more information on how to generate a default
+# footer and what special commands can be used inside the footer. See also
+# section "Doxygen usage" for information on how to generate the default footer
+# that doxygen normally uses.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FOOTER            =
+
+# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style
+# sheet that is used by each HTML page. It can be used to fine-tune the look of
+# the HTML output. If left blank doxygen will generate a default style sheet.
+# See also section "Doxygen usage" for information on how to generate the style
+# sheet that doxygen normally uses.
+# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as
+# it is more robust and this tag (HTML_STYLESHEET) will in the future become
+# obsolete.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_STYLESHEET        =
+
+# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined
+# cascading style sheets that are included after the standard style sheets
+# created by doxygen. Using this option one can overrule certain style aspects.
+# This is preferred over using HTML_STYLESHEET since it does not replace the
+# standard style sheet and is therefore more robust against future updates.
+# Doxygen will copy the style sheet files to the output directory.
+# Note: The order of the extra style sheet files is of importance (e.g. the last
+# style sheet in the list overrules the setting of the previous ones in the
+# list).
+# Note: Since the styling of scrollbars can currently not be overruled in
+# Webkit/Chromium, the styling will be left out of the default doxygen.css if
+# one or more extra stylesheets have been specified. So if scrollbar
+# customization is desired it has to be added explicitly. For an example see the
+# documentation.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_STYLESHEET  =
+
+# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the HTML output directory. Note
+# that these files will be copied to the base HTML output directory. Use the
+# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
+# files. In the HTML_STYLESHEET file, use the file name only. Also note that the
+# files will be copied as-is; there are no commands or markers available.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_EXTRA_FILES       =
+
+# The HTML_COLORSTYLE tag can be used to specify if the generated HTML output
+# should be rendered with a dark or light theme.
+# Possible values are: LIGHT always generates light mode output, DARK always
+# generates dark mode output, AUTO_LIGHT automatically sets the mode according
+# to the user preference, uses light mode if no preference is set (the default),
+# AUTO_DARK automatically sets the mode according to the user preference, uses
+# dark mode if no preference is set and TOGGLE allows a user to switch between
+# light and dark mode via a button.
+# The default value is: AUTO_LIGHT.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE        = AUTO_LIGHT
+
+# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
+# will adjust the colors in the style sheet and background images according to
+# this color. Hue is specified as an angle on a color-wheel, see
+# https://en.wikipedia.org/wiki/Hue for more information. For instance the value
+# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300
+# purple, and 360 is red again.
+# Minimum value: 0, maximum value: 359, default value: 220.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_HUE    = 220
+
+# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors
+# in the HTML output. For a value of 0 the output will use gray-scales only. A
+# value of 255 will produce the most vivid colors.
+# Minimum value: 0, maximum value: 255, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_SAT    = 100
+
+# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the
+# luminance component of the colors in the HTML output. Values below 100
+# gradually make the output lighter, whereas values above 100 make the output
+# darker. The value divided by 100 is the actual gamma applied, so 80 represents
+# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not
+# change the gamma.
+# Minimum value: 40, maximum value: 240, default value: 80.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COLORSTYLE_GAMMA  = 80
+
+# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML
+# documentation will contain a main index with vertical navigation menus that
+# are dynamically created via JavaScript. If disabled, the navigation index will
+# consists of multiple levels of tabs that are statically embedded in every HTML
+# page. Disable this option to support browsers that do not have JavaScript,
+# like the Qt help browser.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_DYNAMIC_MENUS     = YES
+
+# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
+# documentation will contain sections that can be hidden and shown after the
+# page has loaded.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_DYNAMIC_SECTIONS  = NO
+
+# If the HTML_CODE_FOLDING tag is set to YES then classes and functions can be
+# dynamically folded and expanded in the generated HTML source code.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_CODE_FOLDING      = YES
+
+# If the HTML_COPY_CLIPBOARD tag is set to YES then doxygen will show an icon in
+# the top right corner of code and text fragments that allows the user to copy
+# its content to the clipboard. Note this only works if supported by the browser
+# and the web page is served via a secure context (see:
+# https://www.w3.org/TR/secure-contexts/), i.e. using the https: or file:
+# protocol.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_COPY_CLIPBOARD    = YES
+
+# Doxygen stores a couple of settings persistently in the browser (via e.g.
+# cookies). By default these settings apply to all HTML pages generated by
+# doxygen across all projects. The HTML_PROJECT_COOKIE tag can be used to store
+# the settings under a project specific key, such that the user preferences will
+# be stored separately.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_PROJECT_COOKIE    =
+
+# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries
+# shown in the various tree structured indices initially; the user can expand
+# and collapse entries dynamically later on. Doxygen will expand the tree to
+# such a level that at most the specified number of entries are visible (unless
+# a fully collapsed tree already exceeds this amount). So setting the number of
+# entries 1 will produce a full collapsed tree by default. 0 is a special value
+# representing an infinite number of entries and will result in a full expanded
+# tree by default.
+# Minimum value: 0, maximum value: 9999, default value: 100.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_INDEX_NUM_ENTRIES = 100
+
+# If the GENERATE_DOCSET tag is set to YES, additional index files will be
+# generated that can be used as input for Apple's Xcode 3 integrated development
+# environment (see:
+# https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To
+# create a documentation set, doxygen will generate a Makefile in the HTML
+# output directory. Running make will produce the docset in that directory and
+# running make install will install the docset in
+# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at
+# startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy
+# genXcode/_index.html for more information.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_DOCSET        = NO
+
+# This tag determines the name of the docset feed. A documentation feed provides
+# an umbrella under which multiple documentation sets from a single provider
+# (such as a company or product suite) can be grouped.
+# The default value is: Doxygen generated docs.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_FEEDNAME        = "Doxygen generated docs"
+
+# This tag determines the URL of the docset feed. A documentation feed provides
+# an umbrella under which multiple documentation sets from a single provider
+# (such as a company or product suite) can be grouped.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_FEEDURL         =
+
+# This tag specifies a string that should uniquely identify the documentation
+# set bundle. This should be a reverse domain-name style string, e.g.
+# com.mycompany.MyDocSet. Doxygen will append .docset to the name.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_BUNDLE_ID       = org.doxygen.Project
+
+# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify
+# the documentation publisher. This should be a reverse domain-name style
+# string, e.g. com.mycompany.MyDocSet.documentation.
+# The default value is: org.doxygen.Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_ID    = org.doxygen.Publisher
+
+# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.
+# The default value is: Publisher.
+# This tag requires that the tag GENERATE_DOCSET is set to YES.
+
+DOCSET_PUBLISHER_NAME  = Ricardo Montañana Gómez
+
+# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three
+# additional HTML index files: index.hhp, index.hhc, and index.hhk. The
+# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop
+# on Windows. In the beginning of 2021 Microsoft took the original page, with
+# a.o. the download links, offline the HTML help workshop was already many years
+# in maintenance mode). You can download the HTML help workshop from the web
+# archives at Installation executable (see:
+# http://web.archive.org/web/20160201063255/http://download.microsoft.com/downlo
+# ad/0/A/9/0A939EF6-E31C-430F-A3DF-DFAE7960D564/htmlhelp.exe).
+#
+# The HTML Help Workshop contains a compiler that can convert all HTML output
+# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML
+# files are now used as the Windows 98 help format, and will replace the old
+# Windows help format (.hlp) on all Windows platforms in the future. Compressed
+# HTML files also contain an index, a table of contents, and you can search for
+# words in the documentation. The HTML workshop also contains a viewer for
+# compressed HTML files.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_HTMLHELP      = NO
+
+# The CHM_FILE tag can be used to specify the file name of the resulting .chm
+# file. You can add a path in front of the file if the result should not be
+# written to the html output directory.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_FILE               =
+
+# The HHC_LOCATION tag can be used to specify the location (absolute path
+# including file name) of the HTML help compiler (hhc.exe). If non-empty,
+# doxygen will try to run the HTML help compiler on the generated index.hhp.
+# The file has to be specified with full path.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+HHC_LOCATION           =
+
+# The GENERATE_CHI flag controls if a separate .chi index file is generated
+# (YES) or that it should be included in the main .chm file (NO).
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+GENERATE_CHI           = NO
+
+# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)
+# and project file content.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+CHM_INDEX_ENCODING     =
+
+# The BINARY_TOC flag controls whether a binary table of contents is generated
+# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it
+# enables the Previous and Next buttons.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+BINARY_TOC             = NO
+
+# The TOC_EXPAND flag can be set to YES to add extra items for group members to
+# the table of contents of the HTML help documentation and to the tree view.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTMLHELP is set to YES.
+
+TOC_EXPAND             = NO
+
+# The SITEMAP_URL tag is used to specify the full URL of the place where the
+# generated documentation will be placed on the server by the user during the
+# deployment of the documentation. The generated sitemap is called sitemap.xml
+# and placed on the directory specified by HTML_OUTPUT. In case no SITEMAP_URL
+# is specified no sitemap is generated. For information about the sitemap
+# protocol see https://www.sitemaps.org
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+SITEMAP_URL            =
+
+# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
+# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that
+# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help
+# (.qch) of the generated HTML documentation.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_QHP           = NO
+
+# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify
+# the file name of the resulting .qch file. The path specified is relative to
+# the HTML output folder.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QCH_FILE               =
+
+# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help
+# Project output. For more information please see Qt Help Project / Namespace
+# (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace).
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_NAMESPACE          = org.doxygen.Project
+
+# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt
+# Help Project output. For more information please see Qt Help Project / Virtual
+# Folders (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders).
+# The default value is: doc.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_VIRTUAL_FOLDER     = doc
+
+# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom
+# filter to add. For more information please see Qt Help Project / Custom
+# Filters (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_NAME   =
+
+# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the
+# custom filter to add. For more information please see Qt Help Project / Custom
+# Filters (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_CUST_FILTER_ATTRS  =
+
+# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
+# project's filter section matches. Qt Help Project / Filter Attributes (see:
+# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes).
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHP_SECT_FILTER_ATTRS  =
+
+# The QHG_LOCATION tag can be used to specify the location (absolute path
+# including file name) of Qt's qhelpgenerator. If non-empty doxygen will try to
+# run qhelpgenerator on the generated .qhp file.
+# This tag requires that the tag GENERATE_QHP is set to YES.
+
+QHG_LOCATION           =
+
+# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be
+# generated, together with the HTML files, they form an Eclipse help plugin. To
+# install this plugin and make it available under the help contents menu in
+# Eclipse, the contents of the directory containing the HTML and XML files needs
+# to be copied into the plugins directory of eclipse. The name of the directory
+# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.
+# After copying Eclipse needs to be restarted before the help appears.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_ECLIPSEHELP   = NO
+
+# A unique identifier for the Eclipse help plugin. When installing the plugin
+# the directory name containing the HTML and XML files should also have this
+# name. Each documentation set should have its own identifier.
+# The default value is: org.doxygen.Project.
+# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.
+
+ECLIPSE_DOC_ID         = org.doxygen.Project
+
+# If you want full control over the layout of the generated HTML pages it might
+# be necessary to disable the index and replace it with your own. The
+# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top
+# of each HTML page. A value of NO enables the index and the value YES disables
+# it. Since the tabs in the index contain the same information as the navigation
+# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+DISABLE_INDEX          = NO
+
+# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
+# structure should be generated to display hierarchical information. If the tag
+# value is set to YES, a side panel will be generated containing a tree-like
+# index structure (just like the one that is generated for HTML Help). For this
+# to work a browser that supports JavaScript, DHTML, CSS and frames is required
+# (i.e. any modern browser). Windows users are probably better off using the
+# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can
+# further fine tune the look of the index (see "Fine-tuning the output"). As an
+# example, the default style sheet generated by doxygen has an example that
+# shows how to put an image at the root of the tree instead of the PROJECT_NAME.
+# Since the tree basically has the same information as the tab index, you could
+# consider setting DISABLE_INDEX to YES when enabling this option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+GENERATE_TREEVIEW      = YES
+
+# When both GENERATE_TREEVIEW and DISABLE_INDEX are set to YES, then the
+# FULL_SIDEBAR option determines if the side bar is limited to only the treeview
+# area (value NO) or if it should extend to the full height of the window (value
+# YES). Setting this to YES gives a layout similar to
+# https://docs.readthedocs.io with more room for contents, but less room for the
+# project logo, title, and description. If either GENERATE_TREEVIEW or
+# DISABLE_INDEX is set to NO, this option has no effect.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FULL_SIDEBAR           = YES
+
+# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that
+# doxygen will group on one line in the generated HTML documentation.
+#
+# Note that a value of 0 will completely suppress the enum values from appearing
+# in the overview section.
+# Minimum value: 0, maximum value: 20, default value: 4.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+ENUM_VALUES_PER_LINE   = 4
+
+# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used
+# to set the initial width (in pixels) of the frame in which the tree is shown.
+# Minimum value: 0, maximum value: 1500, default value: 250.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+TREEVIEW_WIDTH         = 250
+
+# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to
+# external symbols imported via tag files in a separate window.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+EXT_LINKS_IN_WINDOW    = NO
+
+# If the OBFUSCATE_EMAILS tag is set to YES, doxygen will obfuscate email
+# addresses.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+OBFUSCATE_EMAILS       = YES
+
+# If the HTML_FORMULA_FORMAT option is set to svg, doxygen will use the pdf2svg
+# tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see
+# https://inkscape.org) to generate formulas as SVG images instead of PNGs for
+# the HTML output. These images will generally look nicer at scaled resolutions.
+# Possible values are: png (the default) and svg (looks nicer but requires the
+# pdf2svg or inkscape tool).
+# The default value is: png.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+HTML_FORMULA_FORMAT    = png
+
+# Use this tag to change the font size of LaTeX formulas included as images in
+# the HTML documentation. When you change the font size after a successful
+# doxygen run you need to manually remove any form_*.png images from the HTML
+# output directory to force them to be regenerated.
+# Minimum value: 8, maximum value: 50, default value: 10.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+FORMULA_FONTSIZE       = 10
+
+# The FORMULA_MACROFILE can contain LaTeX \newcommand and \renewcommand commands
+# to create new LaTeX commands to be used in formulas as building blocks. See
+# the section "Including formulas" for details.
+
+FORMULA_MACROFILE      =
+
+# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see
+# https://www.mathjax.org) which uses client side JavaScript for the rendering
+# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX
+# installed or if you want to formulas look prettier in the HTML output. When
+# enabled you may also need to install MathJax separately and configure the path
+# to it using the MATHJAX_RELPATH option.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+USE_MATHJAX            = NO
+
+# With MATHJAX_VERSION it is possible to specify the MathJax version to be used.
+# Note that the different versions of MathJax have different requirements with
+# regards to the different settings, so it is possible that also other MathJax
+# settings have to be changed when switching between the different MathJax
+# versions.
+# Possible values are: MathJax_2 and MathJax_3.
+# The default value is: MathJax_2.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_VERSION        = MathJax_2
+
+# When MathJax is enabled you can set the default output format to be used for
+# the MathJax output. For more details about the output format see MathJax
+# version 2 (see:
+# http://docs.mathjax.org/en/v2.7-latest/output.html) and MathJax version 3
+# (see:
+# http://docs.mathjax.org/en/latest/web/components/output.html).
+# Possible values are: HTML-CSS (which is slower, but has the best
+# compatibility. This is the name for Mathjax version 2, for MathJax version 3
+# this will be translated into chtml), NativeMML (i.e. MathML. Only supported
+# for MathJax 2. For MathJax version 3 chtml will be used instead.), chtml (This
+# is the name for Mathjax version 3, for MathJax version 2 this will be
+# translated into HTML-CSS) and SVG.
+# The default value is: HTML-CSS.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_FORMAT         = HTML-CSS
+
+# When MathJax is enabled you need to specify the location relative to the HTML
+# output directory using the MATHJAX_RELPATH option. The destination directory
+# should contain the MathJax.js script. For instance, if the mathjax directory
+# is located at the same level as the HTML output directory, then
+# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax
+# Content Delivery Network so you can quickly see the result without installing
+# MathJax. However, it is strongly recommended to install a local copy of
+# MathJax from https://www.mathjax.org before deployment. The default value is:
+# - in case of MathJax version 2: https://cdn.jsdelivr.net/npm/mathjax@2
+# - in case of MathJax version 3: https://cdn.jsdelivr.net/npm/mathjax@3
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_RELPATH        =
+
+# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax
+# extension names that should be enabled during MathJax rendering. For example
+# for MathJax version 2 (see
+# https://docs.mathjax.org/en/v2.7-latest/tex.html#tex-and-latex-extensions):
+# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols
+# For example for MathJax version 3 (see
+# http://docs.mathjax.org/en/latest/input/tex/extensions/index.html):
+# MATHJAX_EXTENSIONS = ams
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_EXTENSIONS     =
+
+# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces
+# of code that will be used on startup of the MathJax code. See the MathJax site
+# (see:
+# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an
+# example see the documentation.
+# This tag requires that the tag USE_MATHJAX is set to YES.
+
+MATHJAX_CODEFILE       =
+
+# When the SEARCHENGINE tag is enabled doxygen will generate a search box for
+# the HTML output. The underlying search engine uses javascript and DHTML and
+# should work on any modern browser. Note that when using HTML help
+# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)
+# there is already a search function so this one should typically be disabled.
+# For large projects the javascript based search engine can be slow, then
+# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to
+# search using the keyboard; to jump to the search box use <access key> + S
+# (what the <access key> is depends on the OS and browser, but it is typically
+# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down
+# key> to jump into the search results window, the results can be navigated
+# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel
+# the search. The filter options can be selected when the cursor is inside the
+# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>
+# to select a filter and <Enter> or <escape> to activate or cancel the filter
+# option.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_HTML is set to YES.
+
+SEARCHENGINE           = YES
+
+# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
+# implemented using a web server instead of a web client using JavaScript. There
+# are two flavors of web server based searching depending on the EXTERNAL_SEARCH
+# setting. When disabled, doxygen will generate a PHP script for searching and
+# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing
+# and searching needs to be provided by external tools. See the section
+# "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SERVER_BASED_SEARCH    = NO
+
+# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP
+# script for searching. Instead the search results are written to an XML file
+# which needs to be processed by an external indexer. Doxygen will invoke an
+# external search engine pointed to by the SEARCHENGINE_URL option to obtain the
+# search results.
+#
+# Doxygen ships with an example indexer (doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see:
+# https://xapian.org/).
+#
+# See the section "External Indexing and Searching" for details.
+# The default value is: NO.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH        = NO
+
+# The SEARCHENGINE_URL should point to a search engine hosted by a web server
+# which will return the search results when EXTERNAL_SEARCH is enabled.
+#
+# Doxygen ships with an example indexer (doxyindexer) and search engine
+# (doxysearch.cgi) which are based on the open source search engine library
+# Xapian (see:
+# https://xapian.org/). See the section "External Indexing and Searching" for
+# details.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHENGINE_URL       =
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed
+# search data is written to a file for indexing by an external tool. With the
+# SEARCHDATA_FILE tag the name of this file can be specified.
+# The default file is: searchdata.xml.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+SEARCHDATA_FILE        = searchdata.xml
+
+# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the
+# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is
+# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple
+# projects and redirect the results back to the right project.
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTERNAL_SEARCH_ID     =
+
+# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen
+# projects other than the one defined by this configuration file, but that are
+# all added to the same external search index. Each project needs to have a
+# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of
+# to a relative location where the documentation can be found. The format is:
+# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...
+# This tag requires that the tag SEARCHENGINE is set to YES.
+
+EXTRA_SEARCH_MAPPINGS  =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the LaTeX output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.
+# The default value is: YES.
+
+GENERATE_LATEX         = NO
+
+# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: latex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_OUTPUT           = latex
+
+# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
+# invoked.
+#
+# Note that when not enabling USE_PDFLATEX the default is latex when enabling
+# USE_PDFLATEX the default is pdflatex and when in the later case latex is
+# chosen this is overwritten by pdflatex. For specific output languages the
+# default can have been set differently, this depends on the implementation of
+# the output language.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_CMD_NAME         =
+
+# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate
+# index for LaTeX.
+# Note: This tag is used in the Makefile / make.bat.
+# See also: LATEX_MAKEINDEX_CMD for the part in the generated output file
+# (.tex).
+# The default file is: makeindex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+MAKEINDEX_CMD_NAME     = makeindex
+
+# The LATEX_MAKEINDEX_CMD tag can be used to specify the command name to
+# generate index for LaTeX. In case there is no backslash (\) as first character
+# it will be automatically added in the LaTeX code.
+# Note: This tag is used in the generated output file (.tex).
+# See also: MAKEINDEX_CMD_NAME for the part in the Makefile / make.bat.
+# The default value is: makeindex.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_MAKEINDEX_CMD    = makeindex
+
+# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+COMPACT_LATEX          = NO
+
+# The PAPER_TYPE tag can be used to set the paper type that is used by the
+# printer.
+# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
+# 14 inches) and executive (7.25 x 10.5 inches).
+# The default value is: a4.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PAPER_TYPE             = a4
+
+# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names
+# that should be included in the LaTeX output. The package can be specified just
+# by its name or with the correct syntax as to be used with the LaTeX
+# \usepackage command. To get the times font for instance you can specify :
+# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times}
+# To use the option intlimits with the amsmath package you can specify:
+# EXTRA_PACKAGES=[intlimits]{amsmath}
+# If left blank no extra packages will be included.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+EXTRA_PACKAGES         =
+
+# The LATEX_HEADER tag can be used to specify a user-defined LaTeX header for
+# the generated LaTeX document. The header should contain everything until the
+# first chapter. If it is left blank doxygen will generate a standard header. It
+# is highly recommended to start with a default header using
+# doxygen -w latex new_header.tex new_footer.tex new_stylesheet.sty
+# and then modify the file new_header.tex. See also section "Doxygen usage" for
+# information on how to generate the default header that doxygen normally uses.
+#
+# Note: Only use a user-defined header if you know what you are doing!
+# Note: The header is subject to change so you typically have to regenerate the
+# default header when upgrading to a newer version of doxygen. The following
+# commands have a special meaning inside the header (and footer): For a
+# description of the possible markers and block names see the documentation.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HEADER           =
+
+# The LATEX_FOOTER tag can be used to specify a user-defined LaTeX footer for
+# the generated LaTeX document. The footer should contain everything after the
+# last chapter. If it is left blank doxygen will generate a standard footer. See
+# LATEX_HEADER for more information on how to generate a default footer and what
+# special commands can be used inside the footer. See also section "Doxygen
+# usage" for information on how to generate the default footer that doxygen
+# normally uses. Note: Only use a user-defined footer if you know what you are
+# doing!
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_FOOTER           =
+
+# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined
+# LaTeX style sheets that are included after the standard style sheets created
+# by doxygen. Using this option one can overrule certain style aspects. Doxygen
+# will copy the style sheet files to the output directory.
+# Note: The order of the extra style sheet files is of importance (e.g. the last
+# style sheet in the list overrules the setting of the previous ones in the
+# list).
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EXTRA_STYLESHEET =
+
+# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the LATEX_OUTPUT output
+# directory. Note that the files will be copied as-is; there are no commands or
+# markers available.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EXTRA_FILES      =
+
+# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is
+# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will
+# contain links (just like the HTML output) instead of page references. This
+# makes the output suitable for online browsing using a PDF viewer.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+PDF_HYPERLINKS         = YES
+
+# If the USE_PDFLATEX tag is set to YES, doxygen will use the engine as
+# specified with LATEX_CMD_NAME to generate the PDF file directly from the LaTeX
+# files. Set this option to YES, to get a higher quality PDF documentation.
+#
+# See also section LATEX_CMD_NAME for selecting the engine.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+USE_PDFLATEX           = YES
+
+# The LATEX_BATCHMODE tag signals the behavior of LaTeX in case of an error.
+# Possible values are: NO same as ERROR_STOP, YES same as BATCH, BATCH In batch
+# mode nothing is printed on the terminal, errors are scrolled as if <return> is
+# hit at every error; missing files that TeX tries to input or request from
+# keyboard input (\read on a not open input stream) cause the job to abort,
+# NON_STOP In nonstop mode the diagnostic message will appear on the terminal,
+# but there is no possibility of user interaction just like in batch mode,
+# SCROLL In scroll mode, TeX will stop only for missing files to input or if
+# keyboard input is necessary and ERROR_STOP In errorstop mode, TeX will stop at
+# each error, asking for user intervention.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BATCHMODE        = NO
+
+# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the
+# index chapters (such as File Index, Compound Index, etc.) in the output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_HIDE_INDICES     = NO
+
+# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
+# bibliography, e.g. plainnat, or ieeetr. See
+# https://en.wikipedia.org/wiki/BibTeX and \cite for more info.
+# The default value is: plain.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_BIB_STYLE        = plain
+
+# The LATEX_EMOJI_DIRECTORY tag is used to specify the (relative or absolute)
+# path from which the emoji images will be read. If a relative path is entered,
+# it will be relative to the LATEX_OUTPUT directory. If left blank the
+# LATEX_OUTPUT directory will be used.
+# This tag requires that the tag GENERATE_LATEX is set to YES.
+
+LATEX_EMOJI_DIRECTORY  =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the RTF output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The
+# RTF output is optimized for Word 97 and may not look too pretty with other RTF
+# readers/editors.
+# The default value is: NO.
+
+GENERATE_RTF           = NO
+
+# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: rtf.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_OUTPUT             = rtf
+
+# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF
+# documents. This may be useful for small projects and may help to save some
+# trees in general.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+COMPACT_RTF            = NO
+
+# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will
+# contain hyperlink fields. The RTF file will contain links (just like the HTML
+# output) instead of page references. This makes the output suitable for online
+# browsing using Word or some other Word compatible readers that support those
+# fields.
+#
+# Note: WordPad (write) and others do not support links.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_HYPERLINKS         = NO
+
+# Load stylesheet definitions from file. Syntax is similar to doxygen's
+# configuration file, i.e. a series of assignments. You only have to provide
+# replacements, missing definitions are set to their default value.
+#
+# See also section "Doxygen usage" for information on how to generate the
+# default style sheet that doxygen normally uses.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_STYLESHEET_FILE    =
+
+# Set optional variables used in the generation of an RTF document. Syntax is
+# similar to doxygen's configuration file. A template extensions file can be
+# generated using doxygen -e rtf extensionFile.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_EXTENSIONS_FILE    =
+
+# The RTF_EXTRA_FILES tag can be used to specify one or more extra images or
+# other source files which should be copied to the RTF_OUTPUT output directory.
+# Note that the files will be copied as-is; there are no commands or markers
+# available.
+# This tag requires that the tag GENERATE_RTF is set to YES.
+
+RTF_EXTRA_FILES        =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the man page output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for
+# classes and files.
+# The default value is: NO.
+
+GENERATE_MAN           = YES
+
+# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it. A directory man3 will be created inside the directory specified by
+# MAN_OUTPUT.
+# The default directory is: man.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_OUTPUT             = /Users/rmontanana/Code/BayesNet/docs
+
+# The MAN_EXTENSION tag determines the extension that is added to the generated
+# man pages. In case the manual section does not start with a number, the number
+# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is
+# optional.
+# The default value is: .3.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_EXTENSION          = .3
+
+# The MAN_SUBDIR tag determines the name of the directory created within
+# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by
+# MAN_EXTENSION with the initial . removed.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_SUBDIR             =
+
+# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it
+# will generate one additional man file for each entity documented in the real
+# man page(s). These additional files only source the real man page, but without
+# them the man command would be unable to find the correct page.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_MAN is set to YES.
+
+MAN_LINKS              = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the XML output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that
+# captures the structure of the code including all documentation.
+# The default value is: NO.
+
+GENERATE_XML           = NO
+
+# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a
+# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of
+# it.
+# The default directory is: xml.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_OUTPUT             = xml
+
+# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program
+# listings (including syntax highlighting and cross-referencing information) to
+# the XML output. Note that enabling this will significantly increase the size
+# of the XML output.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_PROGRAMLISTING     = YES
+
+# If the XML_NS_MEMB_FILE_SCOPE tag is set to YES, doxygen will include
+# namespace members in file scope as well, matching the HTML output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_XML is set to YES.
+
+XML_NS_MEMB_FILE_SCOPE = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to the DOCBOOK output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files
+# that can be used to generate PDF.
+# The default value is: NO.
+
+GENERATE_DOCBOOK       = NO
+
+# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.
+# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in
+# front of it.
+# The default directory is: docbook.
+# This tag requires that the tag GENERATE_DOCBOOK is set to YES.
+
+DOCBOOK_OUTPUT         = docbook
+
+#---------------------------------------------------------------------------
+# Configuration options for the AutoGen Definitions output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an
+# AutoGen Definitions (see https://autogen.sourceforge.net/) file that captures
+# the structure of the code including all documentation. Note that this feature
+# is still experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_AUTOGEN_DEF   = NO
+
+#---------------------------------------------------------------------------
+# Configuration options related to Sqlite3 output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_SQLITE3 tag is set to YES doxygen will generate a Sqlite3
+# database with symbols found by doxygen stored in tables.
+# The default value is: NO.
+
+GENERATE_SQLITE3       = NO
+
+# The SQLITE3_OUTPUT tag is used to specify where the Sqlite3 database will be
+# put. If a relative path is entered the value of OUTPUT_DIRECTORY will be put
+# in front of it.
+# The default directory is: sqlite3.
+# This tag requires that the tag GENERATE_SQLITE3 is set to YES.
+
+SQLITE3_OUTPUT         = sqlite3
+
+# The SQLITE3_RECREATE_DB tag is set to YES, the existing doxygen_sqlite3.db
+# database file will be recreated with each doxygen run. If set to NO, doxygen
+# will warn if a database file is already found and not modify it.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_SQLITE3 is set to YES.
+
+SQLITE3_RECREATE_DB    = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to the Perl module output
+#---------------------------------------------------------------------------
+
+# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module
+# file that captures the structure of the code including all documentation.
+#
+# Note that this feature is still experimental and incomplete at the moment.
+# The default value is: NO.
+
+GENERATE_PERLMOD       = NO
+
+# If the PERLMOD_LATEX tag is set to YES, doxygen will generate the necessary
+# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI
+# output from the Perl module output.
+# The default value is: NO.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_LATEX          = NO
+
+# If the PERLMOD_PRETTY tag is set to YES, the Perl module output will be nicely
+# formatted so it can be parsed by a human reader. This is useful if you want to
+# understand what is going on. On the other hand, if this tag is set to NO, the
+# size of the Perl module output will be much smaller and Perl will parse it
+# just the same.
+# The default value is: YES.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_PRETTY         = YES
+
+# The names of the make variables in the generated doxyrules.make file are
+# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful
+# so different doxyrules.make files included by the same Makefile don't
+# overwrite each other's variables.
+# This tag requires that the tag GENERATE_PERLMOD is set to YES.
+
+PERLMOD_MAKEVAR_PREFIX =
+
+#---------------------------------------------------------------------------
+# Configuration options related to the preprocessor
+#---------------------------------------------------------------------------
+
+# If the ENABLE_PREPROCESSING tag is set to YES, doxygen will evaluate all
+# C-preprocessor directives found in the sources and include files.
+# The default value is: YES.
+
+ENABLE_PREPROCESSING   = YES
+
+# If the MACRO_EXPANSION tag is set to YES, doxygen will expand all macro names
+# in the source code. If set to NO, only conditional compilation will be
+# performed. Macro expansion can be done in a controlled way by setting
+# EXPAND_ONLY_PREDEF to YES.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+MACRO_EXPANSION        = NO
+
+# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then
+# the macro expansion is limited to the macros specified with the PREDEFINED and
+# EXPAND_AS_DEFINED tags.
+# The default value is: NO.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_ONLY_PREDEF     = NO
+
+# If the SEARCH_INCLUDES tag is set to YES, the include files in the
+# INCLUDE_PATH will be searched if a #include is found.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SEARCH_INCLUDES        = YES
+
+# The INCLUDE_PATH tag can be used to specify one or more directories that
+# contain include files that are not input files but should be processed by the
+# preprocessor. Note that the INCLUDE_PATH is not recursive, so the setting of
+# RECURSIVE has no effect here.
+# This tag requires that the tag SEARCH_INCLUDES is set to YES.
+
+INCLUDE_PATH           =
+
+# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
+# patterns (like *.h and *.hpp) to filter out the header-files in the
+# directories. If left blank, the patterns specified with FILE_PATTERNS will be
+# used.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+INCLUDE_FILE_PATTERNS  =
+
+# The PREDEFINED tag can be used to specify one or more macro names that are
+# defined before the preprocessor is started (similar to the -D option of e.g.
+# gcc). The argument of the tag is a list of macros of the form: name or
+# name=definition (no spaces). If the definition and the "=" are omitted, "=1"
+# is assumed. To prevent a macro definition from being undefined via #undef or
+# recursively expanded use the := operator instead of the = operator.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+PREDEFINED             =
+
+# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this
+# tag can be used to specify a list of macro names that should be expanded. The
+# macro definition that is found in the sources will be used. Use the PREDEFINED
+# tag if you want to use a different macro definition that overrules the
+# definition found in the source code.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+EXPAND_AS_DEFINED      =
+
+# If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will
+# remove all references to function-like macros that are alone on a line, have
+# an all uppercase name, and do not end with a semicolon. Such function macros
+# are typically used for boiler-plate code, and will confuse the parser if not
+# removed.
+# The default value is: YES.
+# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.
+
+SKIP_FUNCTION_MACROS   = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to external references
+#---------------------------------------------------------------------------
+
+# The TAGFILES tag can be used to specify one or more tag files. For each tag
+# file the location of the external documentation should be added. The format of
+# a tag file without this location is as follows:
+# TAGFILES = file1 file2 ...
+# Adding location for the tag files is done as follows:
+# TAGFILES = file1=loc1 "file2 = loc2" ...
+# where loc1 and loc2 can be relative or absolute paths or URLs. See the
+# section "Linking to external documentation" for more information about the use
+# of tag files.
+# Note: Each tag file must have a unique name (where the name does NOT include
+# the path). If a tag file is not located in the directory in which doxygen is
+# run, you must also specify the path to the tagfile here.
+
+TAGFILES               =
+
+# When a file name is specified after GENERATE_TAGFILE, doxygen will create a
+# tag file that is based on the input files it reads. See section "Linking to
+# external documentation" for more information about the usage of tag files.
+
+GENERATE_TAGFILE       =
+
+# If the ALLEXTERNALS tag is set to YES, all external classes and namespaces
+# will be listed in the class and namespace index. If set to NO, only the
+# inherited external classes will be listed.
+# The default value is: NO.
+
+ALLEXTERNALS           = NO
+
+# If the EXTERNAL_GROUPS tag is set to YES, all external groups will be listed
+# in the topic index. If set to NO, only the current project's groups will be
+# listed.
+# The default value is: YES.
+
+EXTERNAL_GROUPS        = YES
+
+# If the EXTERNAL_PAGES tag is set to YES, all external pages will be listed in
+# the related pages index. If set to NO, only the current project's pages will
+# be listed.
+# The default value is: YES.
+
+EXTERNAL_PAGES         = YES
+
+#---------------------------------------------------------------------------
+# Configuration options related to diagram generator tools
+#---------------------------------------------------------------------------
+
+# If set to YES the inheritance and collaboration graphs will hide inheritance
+# and usage relations if the target is undocumented or is not a class.
+# The default value is: YES.
+
+HIDE_UNDOC_RELATIONS   = YES
+
+# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is
+# available from the path. This tool is part of Graphviz (see:
+# https://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent
+# Bell Labs. The other options in this section have no effect if this option is
+# set to NO
+# The default value is: NO.
+
+HAVE_DOT               = YES
+
+# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is allowed
+# to run in parallel. When set to 0 doxygen will base this on the number of
+# processors available in the system. You can set it explicitly to a value
+# larger than 0 to get control over the balance between CPU load and processing
+# speed.
+# Minimum value: 0, maximum value: 32, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_NUM_THREADS        = 0
+
+# DOT_COMMON_ATTR is common attributes for nodes, edges and labels of
+# subgraphs. When you want a differently looking font in the dot files that
+# doxygen generates you can specify fontname, fontcolor and fontsize attributes.
+# For details please see <a href=https://graphviz.org/doc/info/attrs.html>Node,
+# Edge and Graph Attributes specification</a> You need to make sure dot is able
+# to find the font, which can be done by putting it in a standard location or by
+# setting the DOTFONTPATH environment variable or by setting DOT_FONTPATH to the
+# directory containing the font. Default graphviz fontsize is 14.
+# The default value is: fontname=Helvetica,fontsize=10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_COMMON_ATTR        = "fontname=Helvetica,fontsize=10"
+
+# DOT_EDGE_ATTR is concatenated with DOT_COMMON_ATTR. For elegant style you can
+# add 'arrowhead=open, arrowtail=open, arrowsize=0.5'. <a
+# href=https://graphviz.org/doc/info/arrows.html>Complete documentation about
+# arrows shapes.</a>
+# The default value is: labelfontname=Helvetica,labelfontsize=10.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_EDGE_ATTR          = "labelfontname=Helvetica,labelfontsize=10"
+
+# DOT_NODE_ATTR is concatenated with DOT_COMMON_ATTR. For view without boxes
+# around nodes set 'shape=plain' or 'shape=plaintext' <a
+# href=https://www.graphviz.org/doc/info/shapes.html>Shapes specification</a>
+# The default value is: shape=box,height=0.2,width=0.4.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_NODE_ATTR          = "shape=box,height=0.2,width=0.4"
+
+# You can set the path where dot can find font specified with fontname in
+# DOT_COMMON_ATTR and others dot attributes.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_FONTPATH           =
+
+# If the CLASS_GRAPH tag is set to YES or GRAPH or BUILTIN then doxygen will
+# generate a graph for each documented class showing the direct and indirect
+# inheritance relations. In case the CLASS_GRAPH tag is set to YES or GRAPH and
+# HAVE_DOT is enabled as well, then dot will be used to draw the graph. In case
+# the CLASS_GRAPH tag is set to YES and HAVE_DOT is disabled or if the
+# CLASS_GRAPH tag is set to BUILTIN, then the built-in generator will be used.
+# If the CLASS_GRAPH tag is set to TEXT the direct and indirect inheritance
+# relations will be shown as texts / links. Explicit enabling an inheritance
+# graph or choosing a different representation for an inheritance graph of a
+# specific class, can be accomplished by means of the command \inheritancegraph.
+# Disabling an inheritance graph can be accomplished by means of the command
+# \hideinheritancegraph.
+# Possible values are: NO, YES, TEXT, GRAPH and BUILTIN.
+# The default value is: YES.
+
+CLASS_GRAPH            = YES
+
+# If the COLLABORATION_GRAPH tag is set to YES then doxygen will generate a
+# graph for each documented class showing the direct and indirect implementation
+# dependencies (inheritance, containment, and class references variables) of the
+# class with other documented classes. Explicit enabling a collaboration graph,
+# when COLLABORATION_GRAPH is set to NO, can be accomplished by means of the
+# command \collaborationgraph. Disabling a collaboration graph can be
+# accomplished by means of the command \hidecollaborationgraph.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+COLLABORATION_GRAPH    = YES
+
+# If the GROUP_GRAPHS tag is set to YES then doxygen will generate a graph for
+# groups, showing the direct groups dependencies. Explicit enabling a group
+# dependency graph, when GROUP_GRAPHS is set to NO, can be accomplished by means
+# of the command \groupgraph. Disabling a directory graph can be accomplished by
+# means of the command \hidegroupgraph. See also the chapter Grouping in the
+# manual.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GROUP_GRAPHS           = YES
+
+# If the UML_LOOK tag is set to YES, doxygen will generate inheritance and
+# collaboration diagrams in a style similar to the OMG's Unified Modeling
+# Language.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+UML_LOOK               = NO
+
+# If the UML_LOOK tag is enabled, the fields and methods are shown inside the
+# class node. If there are many fields or methods and many nodes the graph may
+# become too big to be useful. The UML_LIMIT_NUM_FIELDS threshold limits the
+# number of items for each type to make the size more manageable. Set this to 0
+# for no limit. Note that the threshold may be exceeded by 50% before the limit
+# is enforced. So when you set the threshold to 10, up to 15 fields may appear,
+# but if the number exceeds 15, the total amount of fields shown is limited to
+# 10.
+# Minimum value: 0, maximum value: 100, default value: 10.
+# This tag requires that the tag UML_LOOK is set to YES.
+
+UML_LIMIT_NUM_FIELDS   = 10
+
+# If the DOT_UML_DETAILS tag is set to NO, doxygen will show attributes and
+# methods without types and arguments in the UML graphs. If the DOT_UML_DETAILS
+# tag is set to YES, doxygen will add type and arguments for attributes and
+# methods in the UML graphs. If the DOT_UML_DETAILS tag is set to NONE, doxygen
+# will not generate fields with class member information in the UML graphs. The
+# class diagrams will look similar to the default class diagrams but using UML
+# notation for the relationships.
+# Possible values are: NO, YES and NONE.
+# The default value is: NO.
+# This tag requires that the tag UML_LOOK is set to YES.
+
+DOT_UML_DETAILS        = NO
+
+# The DOT_WRAP_THRESHOLD tag can be used to set the maximum number of characters
+# to display on a single line. If the actual line length exceeds this threshold
+# significantly it will be wrapped across multiple lines. Some heuristics are
+# applied to avoid ugly line breaks.
+# Minimum value: 0, maximum value: 1000, default value: 17.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_WRAP_THRESHOLD     = 17
+
+# If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and
+# collaboration graphs will show the relations between templates and their
+# instances.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+TEMPLATE_RELATIONS     = NO
+
+# If the INCLUDE_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are set to
+# YES then doxygen will generate a graph for each documented file showing the
+# direct and indirect include dependencies of the file with other documented
+# files. Explicit enabling an include graph, when INCLUDE_GRAPH is is set to NO,
+# can be accomplished by means of the command \includegraph. Disabling an
+# include graph can be accomplished by means of the command \hideincludegraph.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDE_GRAPH          = YES
+
+# If the INCLUDED_BY_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are
+# set to YES then doxygen will generate a graph for each documented file showing
+# the direct and indirect include dependencies of the file with other documented
+# files. Explicit enabling an included by graph, when INCLUDED_BY_GRAPH is set
+# to NO, can be accomplished by means of the command \includedbygraph. Disabling
+# an included by graph can be accomplished by means of the command
+# \hideincludedbygraph.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INCLUDED_BY_GRAPH      = YES
+
+# If the CALL_GRAPH tag is set to YES then doxygen will generate a call
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable call graphs for selected
+# functions only using the \callgraph command. Disabling a call graph can be
+# accomplished by means of the command \hidecallgraph.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALL_GRAPH             = YES
+
+# If the CALLER_GRAPH tag is set to YES then doxygen will generate a caller
+# dependency graph for every global function or class method.
+#
+# Note that enabling this option will significantly increase the time of a run.
+# So in most cases it will be better to enable caller graphs for selected
+# functions only using the \callergraph command. Disabling a caller graph can be
+# accomplished by means of the command \hidecallergraph.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+CALLER_GRAPH           = YES
+
+# If the GRAPHICAL_HIERARCHY tag is set to YES then doxygen will graphical
+# hierarchy of all classes instead of a textual one.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GRAPHICAL_HIERARCHY    = YES
+
+# If the DIRECTORY_GRAPH tag is set to YES then doxygen will show the
+# dependencies a directory has on other directories in a graphical way. The
+# dependency relations are determined by the #include relations between the
+# files in the directories. Explicit enabling a directory graph, when
+# DIRECTORY_GRAPH is set to NO, can be accomplished by means of the command
+# \directorygraph. Disabling a directory graph can be accomplished by means of
+# the command \hidedirectorygraph.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DIRECTORY_GRAPH        = YES
+
+# The DIR_GRAPH_MAX_DEPTH tag can be used to limit the maximum number of levels
+# of child directories generated in directory dependency graphs by dot.
+# Minimum value: 1, maximum value: 25, default value: 1.
+# This tag requires that the tag DIRECTORY_GRAPH is set to YES.
+
+DIR_GRAPH_MAX_DEPTH    = 1
+
+# The DOT_IMAGE_FORMAT tag can be used to set the image format of the images
+# generated by dot. For an explanation of the image formats see the section
+# output formats in the documentation of the dot tool (Graphviz (see:
+# https://www.graphviz.org/)).
+# Note: If you choose svg you need to set HTML_FILE_EXTENSION to xhtml in order
+# to make the SVG files visible in IE 9+ (other browsers do not have this
+# requirement).
+# Possible values are: png, jpg, gif, svg, png:gd, png:gd:gd, png:cairo,
+# png:cairo:gd, png:cairo:cairo, png:cairo:gdiplus, png:gdiplus and
+# png:gdiplus:gdiplus.
+# The default value is: png.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_IMAGE_FORMAT       = png
+
+# If DOT_IMAGE_FORMAT is set to svg, then this option can be set to YES to
+# enable generation of interactive SVG images that allow zooming and panning.
+#
+# Note that this requires a modern browser other than Internet Explorer. Tested
+# and working are Firefox, Chrome, Safari, and Opera.
+# Note: For IE 9+ you need to set HTML_FILE_EXTENSION to xhtml in order to make
+# the SVG files visible. Older versions of IE do not have SVG support.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+INTERACTIVE_SVG        = NO
+
+# The DOT_PATH tag can be used to specify the path where the dot tool can be
+# found. If left blank, it is assumed the dot tool can be found in the path.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_PATH               =
+
+# The DOTFILE_DIRS tag can be used to specify one or more directories that
+# contain dot files that are included in the documentation (see the \dotfile
+# command).
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOTFILE_DIRS           =
+
+# You can include diagrams made with dia in doxygen documentation. Doxygen will
+# then run dia to produce the diagram and insert it in the documentation. The
+# DIA_PATH tag allows you to specify the directory where the dia binary resides.
+# If left empty dia is assumed to be found in the default search path.
+
+DIA_PATH               =
+
+# The DIAFILE_DIRS tag can be used to specify one or more directories that
+# contain dia files that are included in the documentation (see the \diafile
+# command).
+
+DIAFILE_DIRS           =
+
+# When using plantuml, the PLANTUML_JAR_PATH tag should be used to specify the
+# path where java can find the plantuml.jar file or to the filename of jar file
+# to be used. If left blank, it is assumed PlantUML is not used or called during
+# a preprocessing step. Doxygen will generate a warning when it encounters a
+# \startuml command in this case and will not generate output for the diagram.
+
+PLANTUML_JAR_PATH      =
+
+# When using plantuml, the PLANTUML_CFG_FILE tag can be used to specify a
+# configuration file for plantuml.
+
+PLANTUML_CFG_FILE      =
+
+# When using plantuml, the specified paths are searched for files specified by
+# the !include statement in a plantuml block.
+
+PLANTUML_INCLUDE_PATH  =
+
+# The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of nodes
+# that will be shown in the graph. If the number of nodes in a graph becomes
+# larger than this value, doxygen will truncate the graph, which is visualized
+# by representing a node as a red box. Note that if the number of direct
+# children of the root node in a graph is already larger than
+# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that
+# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.
+# Minimum value: 0, maximum value: 10000, default value: 50.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_GRAPH_MAX_NODES    = 50
+
+# The MAX_DOT_GRAPH_DEPTH tag can be used to set the maximum depth of the graphs
+# generated by dot. A depth value of 3 means that only nodes reachable from the
+# root by following a path via at most 3 edges will be shown. Nodes that lay
+# further from the root node will be omitted. Note that setting this option to 1
+# or 2 may greatly reduce the computation time needed for large code bases. Also
+# note that the size of a graph can be further restricted by
+# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.
+# Minimum value: 0, maximum value: 1000, default value: 0.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+MAX_DOT_GRAPH_DEPTH    = 0
+
+# Set the DOT_MULTI_TARGETS tag to YES to allow dot to generate multiple output
+# files in one run (i.e. multiple -o and -T options on the command line). This
+# makes dot run faster, but since only newer versions of dot (>1.8.10) support
+# this, this feature is disabled by default.
+# The default value is: NO.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+DOT_MULTI_TARGETS      = NO
+
+# If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page
+# explaining the meaning of the various boxes and arrows in the dot generated
+# graphs.
+# Note: This tag requires that UML_LOOK isn't set, i.e. the doxygen internal
+# graphical representation for inheritance and collaboration diagrams is used.
+# The default value is: YES.
+# This tag requires that the tag HAVE_DOT is set to YES.
+
+GENERATE_LEGEND        = YES
+
+# If the DOT_CLEANUP tag is set to YES, doxygen will remove the intermediate
+# files that are used to generate the various graphs.
+#
+# Note: This setting is not only used for dot files but also for msc temporary
+# files.
+# The default value is: YES.
+
+DOT_CLEANUP            = YES
+
+# You can define message sequence charts within doxygen comments using the \msc
+# command. If the MSCGEN_TOOL tag is left empty (the default), then doxygen will
+# use a built-in version of mscgen tool to produce the charts. Alternatively,
+# the MSCGEN_TOOL tag can also specify the name an external tool. For instance,
+# specifying prog as the value, doxygen will call the tool as prog -T
+# <outfile_format> -o <outputfile> <inputfile>. The external tool should support
+# output file formats "png", "eps", "svg", and "ismap".
+
+MSCGEN_TOOL            =
+
+# The MSCFILE_DIRS tag can be used to specify one or more directories that
+# contain msc files that are included in the documentation (see the \mscfile
+# command).
+
+MSCFILE_DIRS           =
diff --git a/docs/logo_small.png b/docs/logo_small.png
new file mode 100644
index 0000000000000000000000000000000000000000..33030fb11384d32caec8eaba448fd38584424a07
GIT binary patch
literal 10855
zcmZ{KWmFx@w(i0f?(VSA5Zv9}-JOL6cXxLWE4Ty=k`P=H+=B*pcXxl;`|Nkld3W5`
zJ*wyIIlpg8RsHE66{D&wgNj6i1ONa~<zyw*|47ll1_JQUv(naO6##%jv6YZem6MR5
zP<3^(vbDDa00=THOile$bybslwmUnMvvt&QwogA}U=o&ezJ`WGh^2=RM=xNd#UYcx
zK>HH}1Eh;Xo#qG##I7xklJy{$-cZ)^A6(dzUje-rLvT_wC@AqzqK&RTa!}Ezy(l0l
zQ5mQOQVLK0a3T0!<<PG@!875od@u_#!S)f<)SmoU#2@exzT&|MDHItXhNk{TO7<hn
zxk6@$W1r@b#~}%!Os!o1lv!0)Yzj67cXtAiOrj6RU)P;2a0J3JM)JoyO)nxsLVQ5t
zjJ8BDJ-41fV2l6)TSf#5%5yae$`Ug^H6Bf91SACVjwvBzW7-u6T$Kd^H;_?K3?~8B
z2Qq5pkcR9()8lQaD`%yo1Yr21BLLu_umCWBG^jr}0E!3z_qPrJ$U_nTTUUpo{|5sN
z07TgWVE@7B|B-)PrhmpC_CFH30Q%nu(E^zN=zkCZ52LQne*~hltezVHfY$rhfXaA}
zMhpNz=h$lMy6Y+_@>@7LFq?s$%q^L{9i0DS0R+AI|ELa@?q(F;4)%_2{N6&KzY+X@
z^uNq3Ad0^s?sh^TT_sft2`5)e3T|drW>%0e5(Nc?pexvlUtLoAANrp+A&`x`yE8uv
zi<g%dvlj=mldClg8y_DZ3oAPdJ3G@K1e2SOqq~_mlcO8ezk>YVIFgob7Ou9=?zT>j
z6o17vGk5ZE7XpF)O7!pRUv;|MTKy-JquW1i{b`WpFAobFGb_vgMzi#`{r}MZ^8AbT
zcVGWXC-_$|em!+dHz#|KzseHk;}-lo!~bLaPksL){0Fb)XzMP_{txAUnExkB_dovs
zr1@{-|0Jlm+FJgZ$iM4i`zObL+x`pxS9koXw%(TZx{|gImX2<J^}@r=E6DP{dj40Y
z-v5{RU!H%Mf-HZn-+!&=zc$O?)<3&N7)g-j-#bqj$v$Dl6ab)^k&_hD^oH8;gLl`m
zY&;jfTQ*M3UX|c~2P<2M041IVG9^sw5*{SR_!jS^+5gGMmvD)fe=C|F3B3=RpB7J5
z@-rlu0z+Na=`-Ek>hkIc-(B9-*_k+r3{=3;Lr%l)+blodUfxwk$6eFYEA;uBPw{KU
z{gog~=gmPJ>p6}T+-t`9GuZA5pouz;%<_#wOG}GOELp+-^}^(3n<ThRIRdYQ-v9bD
zWZ96A7@-`iyGI}yMi~R=0w!U+i=2GrZ0tS_8}O|dkaG52H*k9WR%ntOXF|A`6e~a&
zQu>iRpO5AXbPA6qB_=}<2;`s1D6&f&dfun4;TCf8WS_`X+p0&F<?B;kVQso6j2GDP
z>*uYC(^Woct(^oKMhYcSLgaq*+qCC9zUNgq3H$gq?}tR#1B_L{1&1l}C#*)ab+>K<
ziN$I!z51_%N9gCwO|lqZQO2!}Ge40#X^vay7EO1N+aP8Uk^Ig9!@%6Pm&`ZJ2uyEE
zGbKsbf}+@(+C3@!lqaH8<ew6~8(dsmQ<s%QG+KI0G=pi%FrIVm#*vxyO0&V82Y9}t
z%B-7xu)2^M;AG~2vbcfFp8Ql(T^)P)a|RAojm#W&qS#K%5#rI&k;Jk@|6B5H7;i9z
zmYxw4L=?p7;$iu<o=7}477*PTnfDFdWM;MIxtlh{?lo|+DL{$&=9zr6_<`<8BMw~j
zeWfcn^jllV%%|Xw??wC7D3H^_6a=7!KNdct5%2e-G8k(3Ki@AjKU`VIZ{!rVT#$x@
zWQ$e-dA31{g=a+1qRdl2R_?l&&R$=Pq1PpwrEO%wJe!`f$fEpm(-3<HLvw_bs`()p
zgs(iIf_lkSPfIM>MemciAM8H<T0d>ER&F(<PW28GZpzqzugJmqxw^qE)4H-wJ`rkC
z5*(Zl=eZ21Uqj~(<0c@^7kvu52Gk7s`|K)$-Tb^}TW*cB#Zh|Y?-7w;Y1=WIq1(qZ
zr%x`cn!H~QrT|BBG4X;V*fq;xYrMyI9kbhhh#0A0!|EQZpb`ezwHrc-kicaqhA>pT
znEe^LagQ}NYyB~G!wIqArIn?lGg(MBItBn=0=4F0KfP(~6n9J^8FBrw4790vX`zu}
zzI-YwZ{QckqQis}Hh>)Yx>~S$T4+7~3ur0XZ3nLL`EJFP_Vj7D#vPL>XK8lLDK9l;
zGTsjJr6+0Wr0J*i*AAa}I06!)DAsCBtM`&#IgW>moOX}f8L+f<Y~cjpJcWk$SOEAa
zUHjgh);Ece<C>?ZD2RDxW|2EE#BILQiST!wS84Ak_~nNX@52Y^@_2kO5U%UATSrB&
zlt#Kd=p!Z-Hd0ts6tL@g7^?{Rm^Sll%;;(~%A}sCgzk_CpvyyD-UB;l+(DwArk)>Y
zKb?@DnVE?^V)ua;6<Wkj{}eDLGBL53Hn%X{bU5j?Dy(_4w5A+1ei-OhJ%o0F7bRk*
zs&aR8eRbx64xGc^8NF#<Iop8XhU?Csd)k%+=s_EPCYfC9hM{^iS#jd&<T55_@@laW
z3x=|ufHxm$KEFw9G;K{bnwjFL@3rB)%Ol?Xu{b}$5@2H$D<9on>&50uNCRv=lsH<|
zyNV7Bwkf%e?%T;HqAkp~XOv~(_%zy{yeCjxgq8Q!Q|tH&fGYc7X9v?zZm(n4IHFLe
z9-d{O!!M8I#($T~%l6pq(4-_($kXvm_XR%IURnDykAgWhv@;SPhJbs~+^PdI_3-^p
zLM{w)?A27#h9T^@LhC{%4FC$7#a?k1GM$SA<QRT00oTsh3qZd>Oran{kBaQ4b+mDh
zCnMWeFlw-$Oz|^b&b(JtD{|}H&7`!OhB@Qfk7p5~r5}m=r61z&UoapLFNwODSiiY#
zm&fn!X{ik<@>)55UY&3SNM<_E*?LwuB=0^-exJaG+nHK=yR@204LxYI8!6>;@gGn5
zc)HwgMm6f@8_u}})3ge^eiJGxA2w{Ux#Z_dabtLBm~%AWc6O^Md)Y_x>e7Y<#e9o3
z-M%CfGKR8W7fN0dgLvO%UKgUt5Tcj?Sa!sp&lyt<DxBJ^XhOinER#l!S>idrkYc+O
zvr=8(3(YC1?f62Zv_$--OCGqy!3le}Odw7MmrbCH#M$0i>}@dG+|cyVVad+ZgyYTI
z!)jZ1I9nzSP(xds5m=@JD3->!???`BJ9AzF%)FB||6PFlb=|q8%f3O5nK8oL^OGkH
zG=`MKq9_RyL6nPMJH<XcVd8lkrk*6kW1%bdl14&YRx9P?^Y^v)rIlwtq~Dy~oa#0-
zi#aLqKCIEp->uUTKPWG13Fh}+C(<Gt8fQ$L=%bi4a00t6_;;xXjwo{Kf+IsE0Knr%
z>4noQEwS8(m~5}W$K^CHMzT;puPD?{ivC5KpJC#trfcS0mCJGyk<&ut1b{bZXVB5Z
z(1cmK1+bJ5ENpB#XT<8aUm}^7s8bcdogm7rEU4n0Pjep($O1Q4VDk9br8n6UG}4!b
zv;9%9^HP}&wApX=^Miukut>x~Efg-vm4zm+ing@hPzw9v#?hIP_L+DtJ?EeoPn63#
z;uV8eSqIofUBuQyp%9Ry@Z=efwlg-OKHH|PiEs!M!VFk^DSGc&fs8BMbdsPnhn~vQ
zBYjo7RwZ<|9Q0B>%o9-;_t`az9sRD$d7L#(Rg)ptMBhDdoLh-GmWXZAyR9Cp9Rx)S
z+%$4-{Bm~x+B((}RQ`(7$%!V<k1#zoMIl1t;{4byrQ`6!s`LjmDG2O>hS~u5#J8P;
zlRw9Nhn{2;ZZ*JII0IER3xJA4g(hPe_>O|k2pY$@BEyLe=cGYIhA~q_VPz*oz|s)b
z+}#%Ot+Q9Rp>tXYpkUPR95!xlK_oo;CaR(H=0`ruxqL4<BLnDw0br^Rs>lX+SE0!M
zddKK<8`6+~Z-&$*j&OJ4DFvN8hOM@c+^4o%-?m3mYu9S)teL%i_i*f5@oYL7dK74)
zM`W9S4ji!qer`aX4!{+xwHKOcH4=2}&=ZWe3i6J(sJbnP#Y0F}|0YU{rRpCHLv(`_
zfo6$OEY`NtMVv5O@M~+Q*a9RqRqu|_+Ygib@j>>g)iQ|s-0-_~P<VQ3Mu79xX4rk2
z&>UC&4p`zUvgSt@PSSwI$7mXBYdjo5w}GM}JO<iG`q7b7;ZJ9=un^HoH%XIy*VcQ&
z2R#Sy1je|`XXtsC-Q+NrLKC=CK?KJ_da3-`kCt{v_o9^?WpMny(1C5(o8dU5*oERW
zGEmston=h`9A#jLKH_Q^ooGZG-40B!BEUF_c<c`4(t_E^R9!tMdN>;?w0<;T!7cX8
zxdDZmP&d$CA$%r|jGoP*cPq_*(pi|Vj9MXET+J9&KQ+Tci3Ta6xuu{WxCIN7nHVKS
zthbMbl5x*E?NnfX{%+kMe*g<waoC7lbUT8e1_?3F!`=Oy=7xgWe$Do7J9~_4F6Jq6
z`gw2hrGA8lQ85~Wmabm|m<{jCdVb)-W~vn#@}2=H=YowDlqyk{AJxi+%;}jF%tH}e
zG$sCFY#T>y`~hk#==S|b2gl~dvci+E9NgM-UtKC*9@GkW?AMs3cw@@o;}pI>i4RgK
z5>bmnRJkJ=7}2{TstuZqJ&S9>aDx=W+<FGlb$srJRowOqkpx#pvas<ceSvqbWmXm?
zM#U9aIy#!7eo%d*`!l%n($Yx^Jv;SHcF9WV2-Iq7lctiyzbd;a3XtH{C=fvU0QKLQ
zk`IXIsqc3vQjjSrunOtD3ww^jI0mu`tDLc_-sOu0c<zU@QZmNs5dJ#zvrK8qfO)RI
z6?xwgv2-Mb+%%i2bS+Z<g<(}VTps8yOpUbR7x3pJOxn+{4dM)S+X8N5gjf8^1K$Nn
z${J7X)?~ZV_2C;(-(+1DeM`i+gnTWh7u`mN;0lskkrVR4ZfU2yeZk{amW-qS9kH@s
zHBW<7@Y!`4pGa2(My!4^GVcn5l{lnMuWL;N);NyPpNw4Jm8d9PUX~>bI-e^+^z7j3
z_styh-ibwV`o@;f(M<fn`r<?132ZiLYpSWw54P~Ig>`qg4;hszDU>}b;44X4L@GMG
zvg9A(8iOxOC#fumP;vuqD^zmkXjKNs>W*`ZxT|d<LYT@5k|=#q51im`ION`}!^7k_
zKL6GikFhP4&to}PQAzP}AdV@@T7TMTZ0uk>xh{+EQOVn*K+|ig&IHsjCqwl3Ay`EP
zp0CnE&a^_(5&JVO0jxD{-OHAitS8@;SlK^grz<I0KMpYRS&$zaR;Q1Ia+o}BGhE|0
zt5j(RUVU=o8*|T~BZ&OL+KfAR390oKEg-HZplN5#S{FAqsx(Rk%(JC`${5~<P2#m-
zRLqPEO8K~p{<xx^KaNye%i{Jy73zal1=gs63kQ6EE%IWn$d-YCF5Kge%aF^&)FM0?
z%C%K(9y;R|)U0Dvff#(1F|z#~;A@#du$1MV#L3z8T<FgZY=T^}7<ORQ5Xy%P*i!8p
zK=uM$!xLJF#WJI@E(CA?!)f~`J_D-cXsr^W?TW|*;svm@X;o$UIsyJxW_iy$2l3GB
z&eoFUFRd=jvLW>?EqaAw=1TU*Jct*h(57WE)G(*vQ7rN*<R648ExvqFkt6lYpIBTz
zY4MnVoX54E5(>z3oPgE$CMK|h?MD+n!CpX?zv|}{Xd-RIjjM#3Im4DRWg&iK6M~I&
z$Ea@;Z7(J1Uh@W0k9>qtd>6W(xe9kNUK<q*fj6<Eo0o|!bUtC<=bMIoIt?IZXP65P
zm?eoG8w{pSf{#=oZB5wq?imQGr2Qc*=z1-&*Z+cA$A%ne>0{-qo(kR>&Uo!Os__c{
z{=9yE?mS2+Vfm74KPiG)0MwADf1>=jOE^B79==}^ZAxjwV3d*J*3QPr^13~ao&{rE
z*ek6dLF??hCQCEUDt-2KHZ8tXIT&rUxetmx1FOz8t?=$%&ql-_YZHGI7LtQ<D02#P
zGpt1s8w+1d2N2@MhiwO>v}jQJt^f-%KZ-rxj1=yqg-z7?vET@{!|qp+u%ae~dU_i|
zM4F<>Psj`hQ8^VP)4j1MgMnmQ(3rxl+TU5%FGe2PbgDt6EW?LxwXPLA=s4qfZalBr
zSeCMi+=LvH;&sY_zYX2}jJTIJeaWxXqgaxUuGleloy8gzf3s8Z>}9&LX+>>RHD40z
zb2WWGvpsaTqjhWSC=zAbxmM2atW||Rau@YBq`pttX=qas?_K;N>a(Pe0qae0OdNWV
zhk36TkA#DSS?}+OHP-UN+Q5qs%g1N>S_yP_5=4LZ{=FDcKJ-|KTJk$B)5Fuy%cASf
zi!|$ql!u7%eiJwAVv{wm=F<beQCvuII1=DmGK}E;vccK8@M@oEv&Sfc8Z-WO1$AQT
z^0Cspn3OZcdmh-cWWpTL)dP2C{%&WPz^$#q5t}_T-J}XUQV{`y9N+Q%d&2iUI5N?F
zN<o5#<geK!CASBp0ShSSIZa;lT>A6?;m*raHYR%Ptx3AguK3e;Va5d@4XDip8Vb|U
zi3JZbt0If*`&e~^@}90ZkXl|I!V9U<dAJoi&T>13<~zdmA!g|5NsWTR$uM4Fs2hG{
z?P5Z~JlH`<I;{1QeyoP}g^91FT19k}&(H~BYQh%<A>Ssy7bupdld%gIl(JFAYZSGK
z#e}YGf#VEfyc1hna`Q4g#Y)=cAI=-yfL%)Q8uRFrao+aY<t;19se@Z1OE-CQTe991
z_R6-GcBiEuffdQ<$DMsv&sOzZ>DgQK3_8aaLd;*N_)yY387oPAz_183=IddMz*{Ky
zX<iJ)aUlOY%+X?gSsvZ>M%?ck^@@nKC{)Q*zN%ig-NiHu&TB94O_#6*OdnygMTJWU
z+B<4PM7arBDd1xikz6A9)^8u^;bQUUNf&ZPx?q%|>IFe(QiesZ!mN*(0yo-_y{qr$
zP|+YPkm!1Rc%fU*XsNX^-cRSV>ZPx1fjAzuz#c~^D+O`(t~z_Y?4%*W8RBNfHVLd9
zcMbElG<AdsO#<BH*<9OoqOpdLjkhSfU9BF%-NNar7!uhIoWEGVf!xgo6dfynZHKXC
zlPgNoLHw@Qg^ba0KuNDGIpnilH-z6NqGmTTYM>xVViP3s(AcbP*ZJdT(73V6_Mtc#
z>lm`#pb*BQS^?-i0n`a@)3A%JfC;~Q-Uu{ca8k^LuFPc9t|ly=eS6oD(Zt4HcjpI-
zK1M3gYvkN6fG(PXnOT}-mjjr!B(Np&d_5wCANd<8T-BJ&ch*m^f}4k5(U%IJ8GCx8
zoXmj{UVoV@$&BPXBVORLeMD)^DXe$Fhp!;Cy6aQZkO6ZSIePhRL>-riKDggGvfv|A
zjAxtiYMU{|xePH@CfrbEbO8T{!)Iz6qTk}NJ&4S;<iEAwD}G7`gwZXtva=!_(4#Rm
z8|%MnM(fq%vBzFgG|`jyy5bhVAbNIuBC2tMWw@_MN57O`ho!VsOlI|&2WQWqPHu4{
zNkT{WN}|TG5~I*YON$Rkedz*!>zvqk9^{+)uvQYTO59EET;_n4uCy#YT!^Ewe<F%;
z!s*lmIB^RbI4hKuj>e2eJ@+qZA}VOGznM^-z>Y?(gT!==2sjqO66|~Pp?EHnx%)Fh
zF1ew}2@yeTHDNcwfYRO`KFauOR0%5xv>_0tU<dkag5dmnT-RqA^D-H;Iyh`*ZtUhs
zwYnn2j0nHUj;+oZ(DoHuc{??MGJL2ZAS^mgiK!@Iqx@Vkz@nYnFc$VU7(RoQBQ~#8
z9%ywfMNhQifRT_wNv#Hw1R|)hiZhFRV!@?oImVROW2#!S$M~krAz5JLm1y_!?o$O;
zhWO+q`4_y#uG<rkD110JGGl$b_C0Gg6Fa1Qc1!8mM?|Sa(&7g>B8Dir=)@Br{n;be
z1ji(}n30FGv1@o|2aumA&SaJT+vdsPNjQ||OJ-51n}kV_z;-$#0Npp@V?R~l7r4?;
zbLQc<q3L9#V*lBx9h^8EOr%~%+D=M4Bbykr*d7fqG<y8u4q7z}g@$andLkSpsP^Q*
zDio_kw?>n&)L7>MZu!QIJ(|ihpGq5W=2_g+v2!DpN9y(J(S$JSt9{6=Vf0IznO4B4
z?z1z}XUpvs3F&HOMVx@pZ@dFvQAkT~;h%+dC@6ILX)5_b@NvzWQJ~Aqo{MzP2Wmn9
z3@xT+h>8;5?@wR1l5z3ToL1{Ge(<lr_D^C`Pq3&KBAAZ99~alWfG)`R;Oxa2p{S|5
zYLB3z2<>CfiNf}fjLCtWfO=?(>4a6OX+=(qg1OG3Wio^TKOH^vV`t}R#ANw-UO_yT
zi*1NK#B_9{vprY8y$DQ1U0Uj3jHl8fM;)g_0S4k1T}gB=LRkBPl0F?5<$BdT+8Mc(
z$$ps*g{G>P%}~$JO7R<@`q_S}!2WfG7}s3jXFk{TBxVd`jL5S6han&A!$l#c?654V
zZ4lXrF_dIHL_@_5d$2S^JkW((@O4nYc_o2QRaZT>rOkfd$uT%d#1|j@&PO)5Wqs<X
zYc&u_@^W5vlPlT>I;jV(=6iKPb7MR?5l1jDcd0@FiuL@r3)LDIuse=?GKWS{kI5kk
zXD2fH>hl1H(n+jZE}CodNihzRg8GNUQW2+zohMveTu!k(d#h-`b_g#<@Xr3{{qvuN
zpS*+A4X>FVT_kF{2zgul`zz6rk?7}oI|WP>C^7L_t*mPq-vw3*%FkHU&%4plNnHlV
z(gjB-SLjEq79ceT@+>;h4Sv0iVubZqCR6mIK)IbIiRwUw3=c~a2ki^V8V6zzrm<5*
zZ`4^g!z<D6a=W>Tk%=INt6`QW85RIVqN%ZdR2QSOkL(5QY|+miks}XX*|2xwMXxik
z2@fj71q?;-QV-CK**l!&jKJMrjm)jK_$edp(C}*N=mh10o))pG5mKZpzm$}eF#2#4
zNY|P32t*dP2KR*!JZgs{cq|#@zxP)cP*7hkacKSZyfNO*e|PM6c=)bDEVoZefP-DE
zm$j2`nKe=VJ--@UyC_O=tq8mt&kAbgvu$t@x>)=Zj9_WcSMt?PzIm9|@wLeCx+4nu
zkKNvG=-~9-P(}tIuO;v2M^-SI&7PeAu%gc3ET=kS*Yie1gD_U6@w6Is&hY0%;8~-C
zc?-4i<7mHX<6r`%FId;L4!19CEs>-S(*wWDp$Jp_O@nGMO_0K;g2NZ9lA)e`;y4wf
z@*!6l<q)c<gh81$9%aE~*z643m`kQs6Tx5{{cwLfe1CmEW_n$cX-%I8VeZWwRWVxx
zpWh@1Uvql6^YWCLAaFyDK;V%L66vct6Cb*9oXPt9iZ%hd9NtDD5cq~K|M6E8*Uu%`
z01xT&L=@41M3LZB>v=b&YR$v+=NAR;XPq=%FX7&<rk^jK2sN$=k+ahmAcr$m)03lo
z8D_tm9@`#igZ{*qCkc`#hiydWHA;XF;*8DqS2;_NjJmNt=Qf=QJu3uI;}@9u=z|iU
z+QYis<9Yk=GYAUH();-NlRz5@nR8bBa#g+V{#!dPnYSw`JsWcUTlF}F#}M>-1UrVs
zghZ4~$j*FO=k;Cipe@|hf<*8;GgX@1P}R!F@PoJlpCD9fYs>D(Js#1uO!A)L{FPC=
zC%<rREoy4~48f8v6wNt<pAA?9fKAaJqFgo%svE*;l3X07N58pp2Z_K+F+xnt`DWh+
z_`b)~X5&kmI=?|qtR{MS=9plD!hBdUawokr962~$7XU&gQ1Fh7mkefxD3W8*AmhvI
zqJ~z{-8f2O91hN2t+z9-oKE-qpw)yd9<m)?JR1*^L30gJyflEBoD{|Q7?iCix9JZA
z@I}SG=hodeBSv3ID77If-D*vDEE&wm`!m3p!(EWaB|(Nj$37pw)4_WBn>RaJ*Lw7-
z@6)a2DXwpaYNhH0LyWpQM#f-w{;UA<R`E>qofHVO{O1z0900^JU)~*$QWYF*k6&Jb
zjfjiMa;<q>6}zmiy?YHG<}anyc7HqrCj;YX0^a;6v!)Iu;BGZanNrZ?x?kb2esBm)
z=A{>cAV*c4g5g4;s0gEW2~M^$hogH>iZe7K8Xle^SvbO&8X^dN71iisQxk}K$n8L>
zob_g!EtRF-SjGHsxMcE;v#Gz~<avd6x1~Jx`8k;^&RJ&YVBa)Z>pr4`4(M_wFUd$A
zPegQx_D-(%z%J<`8{A9{B^wo^$RJG|$rp2Ye;axTK%`o0dBU?RB1ossg03EB#y%8p
zEeM=EYijA6qDebleCDO)KY2nY!B_c|a%5us5ml({sIZ}eECZB>B<4VuGBPoz69S7}
z;#!Y$c}=Y<NfGkd+}Tb>jG_B;@d(O$o$B4`+WfPp_1rn?iZr?#+-2{(lgL2Q>DQ)T
zg>EpA2()*Wzeco%rxa6I)UXJDfX6hK5=n_$G?d!XSd~twG0C&qM>Zdn%%7(@HUO8Q
zgUWthYn!R4OH%N@ek^#zLzy%i+h-$OT>F>FR1*2r89#NtgS8#*sCM37x)N-^fAkXT
zXAC^3M7oU>;Qr>8xz?#rgzT-ld%+sOwiwL#<N5;s{>$0}LcW_%r8nkk+C|a*rQO`6
z9nb2xp%#DIF;RZw`eK>_`C3Nq-ItR-aJ3URDC<6(LUtWD(|!UYf_{IW6k=366PdmR
z%Y6STz!bjiwQB6omcnauMhH1Yb?usJAJxu@x6ur3Ctg4bgAeu-7XG+;2D1|~3|HOa
zL>7}uN4tu<ThEpB^Zqy?_r<~s92IBgI!3L`km+We6y@41l-^<&9NS{`F1&<V?2c;u
z>SClcOr3i3GdrOZM?&18ok}Pb16=87`(Z@mOIskW+uewK!~g+-zXW!y<WMU%s#)r$
z8-uZOxZK??olIKn_vvCJHxB(lpmE~M(EWR?V0Q?lleNgeOe0#`eIZ~@m-Lhuw}+p-
zxEoDLNyR6=Xx8G>o(COYMTAUSXt+W7mpGnbn))yS&*W19U+3H!2XA9nX_P!b3@`%=
zn_5?`KNOiC1}grcq|@AC&Ad@`{DJbT53lUt$SZ~0V|<y)@v{X?$X52rPL}7+Zr&=_
z3e8YduO1;fHxWrwc2y01Ns^gcQASy+dGVTTe9SV3+U(QrypxDY3Lsh#>nv2fibG$S
z1Y=~^{)7}rz-0=uAPEd{ygWSS9YKw=&NTfgwkdhy#qWbUOsZFYzq06K{teukgS`K#
zU%KSSDfnRC^i8q0=M$ndlYSb-BQXJG3OIywky$bNL`7*tI4_mwq~NQK%fO_`SbsdC
zRk_b-B?XD(0VZK#dBU~m%8Ocm{k)3E`scp!>uVTybf_Hiuo-ruS!I<iyv$!&*yN;v
zK$qrCv5H!w4JVDr=bDaWGW2WR6P42vNw>VygS&KrWnD5J4O7le;uosdQ!5{E=iXY}
zO4*uAsR_FRLm_L;xoJbR)8}%Qi<cq7TJo#`6{d`SoL{`3Ouc5EwW&_}zRp?v_DOE9
zXJnM8(2{wOLTZS@eIL({P1a+}D<z3~WsjdSK)z#OcTkP|wH#K!(0-Pj>x|X?!ekuX
zdsnX->zy=dU_V;^?}n$gtSm6&RuFMYe*EuNbD!rr*yh2<?f7JOlec{bm12dq(WA8H
zV>JCyZ?RZ-EIjEEOD=K}D{I>FQc}K|I`EK|Mp9L6WooW?w^<jg5+{&EmxtGHZ)N}^
z5b}5&^(`JEk2y>QvS0^o4}ZQM@)qt4zI9(FF*V9r0h^)b@~2;^221o~D3O0?e&Wf2
zfBa!T+~+s??kt}F^!^Bfh$mpk-oH^q(1uD4xn}+dXPH2!4F6*|W;`(_UN6)F-ASr@
zL#Q_cpY~~BZ3Jtb+(^{Yy%~q~19aw^%#f-*3^SvtnR>Sbc)q*@C?j3a(L{$lKr)HW
z8!=-r>-Vij*<zc*-9bP!z;jI=7$as&)(T}w=YF}>eSMTS5@m#L-hbI0GJ?#)@=BwP
zuwZ;8*Flo5?5aPC|GZDtjVl|d7rV;F+()0577Ghar=2x&#a>8`uJ<^T0%7I|B^&4T
z$P>v=ctKAa9T)lal0YufD-7&2793<P=vfDx@RkmLt4A*<1&kw@PB`_jizLxmCBJ>;
zg9YhDSkZ~AB`BNIq=5)G8cFwYsi0&ncaLt)^{x*(>@LsA*voj+R}=e`+2Q51KQtPv
zPCR^(f9~;kDT@7h9It617@a^*BOMNf(=GYH_8ZS^!J)habrhoDzBp+zfFm$+wQe4!
z%h-|pKzXOoPz%-CEAyL2azpjwv9pvl<!N)HQ?!SBLvTwqrlP~m`o05N_cmjSA_Hn~
zA038Iln#08ifS^(9=4}0)vVxE)-VxfmmXOB(9&JonOPjxr>U#{r1&&MSRy#!saS)_
z<5ve&(#FJke*!^tA&sq5ZE5`?=`~Ogq|<TJ;5;ggj1)fA*=poL9gjP><7!c(UkDc$
zH^p5K+dL_}?_>|$TBktCtwa<LOjHG>z*23pCt*Vtm#z?*->&d3Z=DICg`PU7ti5%=
zeTv%V3&b$z1E7B}s~To%dkK6Ep=%P6v<ljYz(*Jf_~nTHvr)xk>AO>(@U^R!;E&98
zL9+q($XUOrUxFkK+h$M3WPv}!g6?NJo?o*fd%$Q@2$%?$28}uqBIlV5dJnaE1Jx$Q
zi*Gxbm>wQX$hRj;_}1<ZPKyr*h-64XV-n^uBA_-1lw2(N<t}{YsxSG^he>=gO1BIP
z=%{6uxgWq=S5jIe1m7=ji#-hkYl6O&!Z~0)dd)F2bwX;|lIM-S>bn%u@HvwpA=*C&
zCKO7wiFZGKyj2>l;B)3z{O;OV{L6mfRfolXenI5;lO3zVM7sK_+ljx09n1HFMc0M8
z7O9_Yjzd~14ojY*u4@7B+0Jl3bg#gp4VGD1(bfs)XIW?DmguHYo3uuuW}^qX9QRpx
z?9r3riA#!Ol67l}n~QI5u?Sss7SBgG^Ip)hEd9s?fVaaXLIlcJ-=tO&gaTgl9Gm8F
z3KJKC&RS=T<|77aQt;a^Li_vs-<h`vVvV5rN|z8ZD=AWMlwanahJ+Zn&+gMWvg~m!
z!I6|UdUv4Nqn3pNBg@WebZ1_Bd%Tn=?XdDg&BDLwhQ@10;|@lE0?f>S7s%oy>M>>N
zs(Q}c<oPb=gBRJ4QSe1V%C%CMrK@j)rP*0ui5VES{WnDn3yo5QX!}!wj3{L+F~rRC
zJeAw&yt>UBh*0?+<dO#r=np?oB9v=ZDlQ&$94<5oizFCr{o>Z4UJtSQGJ~dG#TWfG
za8MUjS7bs%_*saZ8_#9k+d|PvBX`m9PLdu+9)AlDZJZ&`p2jZaVTg1Np`;!`@x!|a
zV+=vLRh9Zn*YFB$>}TO^xi@l2z?92|I0KGWwSGhF>f{7~=Kd6cfmbmuz`+C&Q`Q93
zgFpQtTwo9meYO8-M_7<-iiZ~00%|c%3Ue%)3sChA=|V)BeslOd$0XNyyDsqJo7=@^
zo9__syeB^jCS8?c`IAbUoGEAxgRIqT04+XP!4$FE{o-8H=Kkj~`T`SbWFfv6Q@tDA
zqHm(g!;7czasN}twBvjyzLw+m7FL~iGEHlo&Pun_;|fQuAuKOAmos`<YWvO7`<Wh@
z3ab~Jic#>T`i09ziQBy4do-LS8giu|xAlS2^Z41KYalU$!c-DQ;&M>zZJ5-05DZF+
zp1IO_;Mk_=$Sv%`ipj4*#p#1z!DGUb<=u%mV_8900XFYs1H>iNuip|+h;t~as+|n(
zhXu&rj(3Fe|NKYJpb)uucJj-2uK5vBK;hoKWxx^?n=dkme*X<hOu1mNB|I;WjA1i$
l_Vo_@K%VXVhJW=UvUBwGv%6VZ^RMHEa#G5YHR7hB{|E0)+YtZ&

literal 0
HcmV?d00001

diff --git a/docs/man3/bayesnet_A2DE.3 b/docs/man3/bayesnet_A2DE.3
new file mode 100644
index 0000000..6a1593f
--- /dev/null
+++ b/docs/man3/bayesnet_A2DE.3
@@ -0,0 +1,257 @@
+.TH "bayesnet::A2DE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::A2DE
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Ensemble\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBA2DE\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='A2DE') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB12\fP of file \fBA2DE\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::A2DE::A2DE (bool predict_voting = \fRfalse\fP)"
+
+.PP
+Definition at line \fB10\fP of file \fBA2DE\&.cc\fP\&.
+.SS "virtual bayesnet::A2DE::~A2DE ()\fR [inline]\fP, \fR [virtual]\fP"
+
+.PP
+Definition at line \fB15\fP of file \fBA2DE\&.h\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::A2DE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB23\fP of file \fBA2DE\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::A2DE::graph (const std::string & title = \fR'A2DE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB36\fP of file \fBA2DE\&.cc\fP\&.
+.SS "void bayesnet::A2DE::setHyperparameters (const nlohmann::json & hyperparameters)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB14\fP of file \fBA2DE\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_AODE.3 b/docs/man3/bayesnet_AODE.3
new file mode 100644
index 0000000..6894802
--- /dev/null
+++ b/docs/man3/bayesnet_AODE.3
@@ -0,0 +1,257 @@
+.TH "bayesnet::AODE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::AODE
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Ensemble\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBAODE\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='AODE') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB12\fP of file \fBAODE\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::AODE::AODE (bool predict_voting = \fRfalse\fP)"
+
+.PP
+Definition at line \fB10\fP of file \fBAODE\&.cc\fP\&.
+.SS "virtual bayesnet::AODE::~AODE ()\fR [inline]\fP, \fR [virtual]\fP"
+
+.PP
+Definition at line \fB15\fP of file \fBAODE\&.h\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::AODE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB24\fP of file \fBAODE\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::AODE::graph (const std::string & title = \fR'AODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB34\fP of file \fBAODE\&.cc\fP\&.
+.SS "void bayesnet::AODE::setHyperparameters (const nlohmann::json & hyperparameters)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB15\fP of file \fBAODE\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_AODELd.3 b/docs/man3/bayesnet_AODELd.3
new file mode 100644
index 0000000..a684913
--- /dev/null
+++ b/docs/man3/bayesnet_AODELd.3
@@ -0,0 +1,296 @@
+.TH "bayesnet::AODELd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::AODELd
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Ensemble\fP, and \fBbayesnet::Proposal\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBAODELd\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "\fBAODELd\fP & \fBfit\fP (torch::Tensor &X_, torch::Tensor &y_, const std::vector< std::string > &features_, const std::string &className_, map< std::string, std::vector< int > > &states_) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='AODELd') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBXf\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy\fP"
+.br
+.ti -1c
+.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB14\fP of file \fBAODELd\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::AODELd::AODELd (bool predict_voting = \fRtrue\fP)"
+
+.PP
+Definition at line \fB10\fP of file \fBAODELd\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::AODELd::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB28\fP of file \fBAODELd\&.cc\fP\&.
+.SS "\fBAODELd\fP & bayesnet::AODELd::fit (torch::Tensor & X_, torch::Tensor & y_, const std::vector< std::string > & features_, const std::string & className_, map< std::string, std::vector< int > > & states_)\fR [override]\fP"
+
+.PP
+Definition at line \fB13\fP of file \fBAODELd\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::AODELd::graph (const std::string & name = \fR'AODELd'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB43\fP of file \fBAODELd\&.cc\fP\&.
+.SS "void bayesnet::AODELd::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB37\fP of file \fBAODELd\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_BaseClassifier.3 b/docs/man3/bayesnet_BaseClassifier.3
new file mode 100644
index 0000000..44f3411
--- /dev/null
+++ b/docs/man3/bayesnet_BaseClassifier.3
@@ -0,0 +1,116 @@
+.TH "bayesnet::BaseClassifier" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::BaseClassifier
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherited by \fBbayesnet::Classifier\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0"
+.br
+.ti -1c
+.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0"
+.br
+.ti -1c
+.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0"
+.br
+.ti -1c
+.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights)=0"
+.br
+.ti -1c
+.RI "virtual torch::Tensor \fBpredict\fP (torch::Tensor &X)=0"
+.br
+.ti -1c
+.RI "virtual std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X)=0"
+.br
+.ti -1c
+.RI "virtual torch::Tensor \fBpredict_proba\fP (torch::Tensor &X)=0"
+.br
+.ti -1c
+.RI "virtual std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X)=0"
+.br
+.ti -1c
+.RI "virtual status_t \fBgetStatus\fP () const =0"
+.br
+.ti -1c
+.RI "virtual float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y)=0"
+.br
+.ti -1c
+.RI "virtual float \fBscore\fP (torch::Tensor &X, torch::Tensor &y)=0"
+.br
+.ti -1c
+.RI "virtual int \fBgetNumberOfNodes\fP () const =0"
+.br
+.ti -1c
+.RI "virtual int \fBgetNumberOfEdges\fP () const =0"
+.br
+.ti -1c
+.RI "virtual int \fBgetNumberOfStates\fP () const =0"
+.br
+.ti -1c
+.RI "virtual int \fBgetClassNumStates\fP () const =0"
+.br
+.ti -1c
+.RI "virtual std::vector< std::string > \fBshow\fP () const =0"
+.br
+.ti -1c
+.RI "virtual std::vector< std::string > \fBgraph\fP (const std::string &title='') const =0"
+.br
+.ti -1c
+.RI "virtual std::string \fBgetVersion\fP ()=0"
+.br
+.ti -1c
+.RI "virtual std::vector< std::string > \fBtopological_order\fP ()=0"
+.br
+.ti -1c
+.RI "virtual std::vector< std::string > \fBgetNotes\fP () const =0"
+.br
+.ti -1c
+.RI "virtual std::string \fBdump_cpt\fP () const =0"
+.br
+.ti -1c
+.RI "virtual void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters)=0"
+.br
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "virtual void \fBtrainModel\fP (const torch::Tensor &weights)=0"
+.br
+.in -1c
+.SS "Protected Attributes"
+
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB13\fP of file \fBBaseClassifier\&.h\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "std::vector< std::string > & bayesnet::BaseClassifier::getValidHyperparameters ()\fR [inline]\fP"
+
+.PP
+Definition at line \fB40\fP of file \fBBaseClassifier\&.h\fP\&.
+.SH "Member Data Documentation"
+.PP 
+.SS "std::vector<std::string> bayesnet::BaseClassifier::validHyperparameters\fR [protected]\fP"
+
+.PP
+Definition at line \fB43\fP of file \fBBaseClassifier\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Boost.3 b/docs/man3/bayesnet_Boost.3
new file mode 100644
index 0000000..04ec0cc
--- /dev/null
+++ b/docs/man3/bayesnet_Boost.3
@@ -0,0 +1,369 @@
+.TH "bayesnet::Boost" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::Boost
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Ensemble\fP\&.
+.PP
+Inherited by \fBbayesnet::BoostA2DE\fP, and \fBbayesnet::BoostAODE\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBBoost\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "std::vector< int > \fBfeatureSelection\fP (torch::Tensor &weights_)"
+.br
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights\fP (torch::Tensor &ytrain, torch::Tensor &ypred, torch::Tensor &weights)"
+.br
+.ti -1c
+.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights_block\fP (int k, torch::Tensor &ytrain, torch::Tensor &weights)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Protected Attributes"
+
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBX_train\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy_train\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBX_test\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy_test\fP"
+.br
+.ti -1c
+.RI "bool \fBbisection\fP = true"
+.br
+.ti -1c
+.RI "int \fBmaxTolerance\fP = 3"
+.br
+.ti -1c
+.RI "std::string \fBorder_algorithm\fP"
+.br
+.ti -1c
+.RI "bool \fBconvergence\fP = true"
+.br
+.ti -1c
+.RI "bool \fBconvergence_best\fP = false"
+.br
+.ti -1c
+.RI "bool \fBselectFeatures\fP = false"
+.br
+.ti -1c
+.RI "std::string \fBselect_features_algorithm\fP = Orders\&.DESC"
+.br
+.ti -1c
+.RI "FeatureSelect * \fBfeatureSelector\fP = nullptr"
+.br
+.ti -1c
+.RI "double \fBthreshold\fP = \-1"
+.br
+.ti -1c
+.RI "bool \fBblock_update\fP = false"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB27\fP of file \fBBoost\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::Boost::Boost (bool predict_voting = \fRfalse\fP)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB13\fP of file \fBBoost\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::Boost::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB71\fP of file \fBBoost\&.cc\fP\&.
+.SS "std::vector< int > bayesnet::Boost::featureSelection (torch::Tensor & weights_)\fR [protected]\fP"
+
+.PP
+Definition at line \fB102\fP of file \fBBoost\&.cc\fP\&.
+.SS "void bayesnet::Boost::setHyperparameters (const nlohmann::json & hyperparameters_)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB18\fP of file \fBBoost\&.cc\fP\&.
+.SS "std::tuple< torch::Tensor &, double, bool > bayesnet::Boost::update_weights (torch::Tensor & ytrain, torch::Tensor & ypred, torch::Tensor & weights)\fR [protected]\fP"
+
+.PP
+Definition at line \fB123\fP of file \fBBoost\&.cc\fP\&.
+.SS "std::tuple< torch::Tensor &, double, bool > bayesnet::Boost::update_weights_block (int k, torch::Tensor & ytrain, torch::Tensor & weights)\fR [protected]\fP"
+
+.PP
+Definition at line \fB150\fP of file \fBBoost\&.cc\fP\&.
+.SH "Member Data Documentation"
+.PP 
+.SS "bool bayesnet::Boost::bisection = true\fR [protected]\fP"
+
+.PP
+Definition at line \fB39\fP of file \fBBoost\&.h\fP\&.
+.SS "bool bayesnet::Boost::block_update = false\fR [protected]\fP"
+
+.PP
+Definition at line \fB48\fP of file \fBBoost\&.h\fP\&.
+.SS "bool bayesnet::Boost::convergence = true\fR [protected]\fP"
+
+.PP
+Definition at line \fB42\fP of file \fBBoost\&.h\fP\&.
+.SS "bool bayesnet::Boost::convergence_best = false\fR [protected]\fP"
+
+.PP
+Definition at line \fB43\fP of file \fBBoost\&.h\fP\&.
+.SS "FeatureSelect* bayesnet::Boost::featureSelector = nullptr\fR [protected]\fP"
+
+.PP
+Definition at line \fB46\fP of file \fBBoost\&.h\fP\&.
+.SS "int bayesnet::Boost::maxTolerance = 3\fR [protected]\fP"
+
+.PP
+Definition at line \fB40\fP of file \fBBoost\&.h\fP\&.
+.SS "std::string bayesnet::Boost::order_algorithm\fR [protected]\fP"
+
+.PP
+Definition at line \fB41\fP of file \fBBoost\&.h\fP\&.
+.SS "std::string bayesnet::Boost::select_features_algorithm = Orders\&.DESC\fR [protected]\fP"
+
+.PP
+Definition at line \fB45\fP of file \fBBoost\&.h\fP\&.
+.SS "bool bayesnet::Boost::selectFeatures = false\fR [protected]\fP"
+
+.PP
+Definition at line \fB44\fP of file \fBBoost\&.h\fP\&.
+.SS "double bayesnet::Boost::threshold = \-1\fR [protected]\fP"
+
+.PP
+Definition at line \fB47\fP of file \fBBoost\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Boost::X_test\fR [protected]\fP"
+
+.PP
+Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Boost::X_train\fR [protected]\fP"
+
+.PP
+Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Boost::y_test\fR [protected]\fP"
+
+.PP
+Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Boost::y_train\fR [protected]\fP"
+
+.PP
+Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_BoostA2DE.3 b/docs/man3/bayesnet_BoostA2DE.3
new file mode 100644
index 0000000..b3a9dfe
--- /dev/null
+++ b/docs/man3/bayesnet_BoostA2DE.3
@@ -0,0 +1,316 @@
+.TH "bayesnet::BoostA2DE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::BoostA2DE
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Boost\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBBoostA2DE\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='BoostA2DE') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Boost\fP
+.in +1c
+.ti -1c
+.RI "\fBBoost\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Boost\fP
+.in +1c
+.ti -1c
+.RI "std::vector< int > \fBfeatureSelection\fP (torch::Tensor &weights_)"
+.br
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights\fP (torch::Tensor &ytrain, torch::Tensor &ypred, torch::Tensor &weights)"
+.br
+.ti -1c
+.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights_block\fP (int k, torch::Tensor &ytrain, torch::Tensor &weights)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Boost\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBX_train\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy_train\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBX_test\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy_test\fP"
+.br
+.ti -1c
+.RI "bool \fBbisection\fP = true"
+.br
+.ti -1c
+.RI "int \fBmaxTolerance\fP = 3"
+.br
+.ti -1c
+.RI "std::string \fBorder_algorithm\fP"
+.br
+.ti -1c
+.RI "bool \fBconvergence\fP = true"
+.br
+.ti -1c
+.RI "bool \fBconvergence_best\fP = false"
+.br
+.ti -1c
+.RI "bool \fBselectFeatures\fP = false"
+.br
+.ti -1c
+.RI "std::string \fBselect_features_algorithm\fP = Orders\&.DESC"
+.br
+.ti -1c
+.RI "FeatureSelect * \fBfeatureSelector\fP = nullptr"
+.br
+.ti -1c
+.RI "double \fBthreshold\fP = \-1"
+.br
+.ti -1c
+.RI "bool \fBblock_update\fP = false"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB14\fP of file \fBBoostA2DE\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::BoostA2DE::BoostA2DE (bool predict_voting = \fRfalse\fP)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB19\fP of file \fBBoostA2DE\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "std::vector< std::string > bayesnet::BoostA2DE::graph (const std::string & title = \fR'BoostA2DE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB163\fP of file \fBBoostA2DE\&.cc\fP\&.
+.SS "void bayesnet::BoostA2DE::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB44\fP of file \fBBoostA2DE\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_BoostAODE.3 b/docs/man3/bayesnet_BoostAODE.3
new file mode 100644
index 0000000..d5b74c1
--- /dev/null
+++ b/docs/man3/bayesnet_BoostAODE.3
@@ -0,0 +1,316 @@
+.TH "bayesnet::BoostAODE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::BoostAODE
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Boost\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBBoostAODE\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='BoostAODE') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Boost\fP
+.in +1c
+.ti -1c
+.RI "\fBBoost\fP (bool predict_voting=false)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Boost\fP
+.in +1c
+.ti -1c
+.RI "std::vector< int > \fBfeatureSelection\fP (torch::Tensor &weights_)"
+.br
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights\fP (torch::Tensor &ytrain, torch::Tensor &ypred, torch::Tensor &weights)"
+.br
+.ti -1c
+.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights_block\fP (int k, torch::Tensor &ytrain, torch::Tensor &weights)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Boost\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBX_train\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy_train\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBX_test\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy_test\fP"
+.br
+.ti -1c
+.RI "bool \fBbisection\fP = true"
+.br
+.ti -1c
+.RI "int \fBmaxTolerance\fP = 3"
+.br
+.ti -1c
+.RI "std::string \fBorder_algorithm\fP"
+.br
+.ti -1c
+.RI "bool \fBconvergence\fP = true"
+.br
+.ti -1c
+.RI "bool \fBconvergence_best\fP = false"
+.br
+.ti -1c
+.RI "bool \fBselectFeatures\fP = false"
+.br
+.ti -1c
+.RI "std::string \fBselect_features_algorithm\fP = Orders\&.DESC"
+.br
+.ti -1c
+.RI "FeatureSelect * \fBfeatureSelector\fP = nullptr"
+.br
+.ti -1c
+.RI "double \fBthreshold\fP = \-1"
+.br
+.ti -1c
+.RI "bool \fBblock_update\fP = false"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Ensemble\fP
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB15\fP of file \fBBoostAODE\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::BoostAODE::BoostAODE (bool predict_voting = \fRfalse\fP)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB16\fP of file \fBBoostAODE\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "std::vector< std::string > bayesnet::BoostAODE::graph (const std::string & title = \fR'BoostAODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB157\fP of file \fBBoostAODE\&.cc\fP\&.
+.SS "void bayesnet::BoostAODE::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB33\fP of file \fBBoostAODE\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Classifier.3 b/docs/man3/bayesnet_Classifier.3
new file mode 100644
index 0000000..02549d5
--- /dev/null
+++ b/docs/man3/bayesnet_Classifier.3
@@ -0,0 +1,360 @@
+.TH "bayesnet::Classifier" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::Classifier
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Inherited by \fBbayesnet::Ensemble\fP, \fBbayesnet::KDB\fP, \fBbayesnet::SPODE\fP, \fBbayesnet::SPnDE\fP, and \fBbayesnet::TAN\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "virtual std::vector< std::string > \fBgraph\fP (const std::string &title='') const =0"
+.br
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "virtual void \fBbuildModel\fP (const torch::Tensor &weights)=0"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Protected Attributes"
+
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB15\fP of file \fBClassifier\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::Classifier::Classifier (\fBNetwork\fP model)"
+
+.PP
+Definition at line \fB12\fP of file \fBClassifier\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::Classifier::addNodes ()"
+
+.PP
+Definition at line \fB155\fP of file \fBClassifier\&.cc\fP\&.
+.SS "void bayesnet::Classifier::buildDataset (torch::Tensor & y)\fR [protected]\fP"
+
+.PP
+Definition at line \fB30\fP of file \fBClassifier\&.cc\fP\&.
+.SS "void bayesnet::Classifier::checkFitParameters ()\fR [protected]\fP"
+
+.PP
+Definition at line \fB79\fP of file \fBClassifier\&.cc\fP\&.
+.SS "std::string bayesnet::Classifier::dump_cpt () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB184\fP of file \fBClassifier\&.cc\fP\&.
+.SS "\fBClassifier\fP & bayesnet::Classifier::fit (std::vector< std::vector< int > > & X, std::vector< int > & y, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB57\fP of file \fBClassifier\&.cc\fP\&.
+.SS "\fBClassifier\fP & bayesnet::Classifier::fit (torch::Tensor & dataset, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB68\fP of file \fBClassifier\&.cc\fP\&.
+.SS "\fBClassifier\fP & bayesnet::Classifier::fit (torch::Tensor & dataset, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states, const torch::Tensor & weights)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB74\fP of file \fBClassifier\&.cc\fP\&.
+.SS "\fBClassifier\fP & bayesnet::Classifier::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB49\fP of file \fBClassifier\&.cc\fP\&.
+.SS "int bayesnet::Classifier::getClassNumStates () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB176\fP of file \fBClassifier\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Classifier::getNotes () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB38\fP of file \fBClassifier\&.h\fP\&.
+.SS "int bayesnet::Classifier::getNumberOfEdges () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB168\fP of file \fBClassifier\&.cc\fP\&.
+.SS "int bayesnet::Classifier::getNumberOfNodes () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB163\fP of file \fBClassifier\&.cc\fP\&.
+.SS "int bayesnet::Classifier::getNumberOfStates () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB172\fP of file \fBClassifier\&.cc\fP\&.
+.SS "status_t bayesnet::Classifier::getStatus () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB32\fP of file \fBClassifier\&.h\fP\&.
+.SS "std::string bayesnet::Classifier::getVersion ()\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB33\fP of file \fBClassifier\&.h\fP\&.
+.SS "std::vector< int > bayesnet::Classifier::predict (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB103\fP of file \fBClassifier\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Classifier::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB96\fP of file \fBClassifier\&.cc\fP\&.
+.SS "std::vector< std::vector< double > > bayesnet::Classifier::predict_proba (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB124\fP of file \fBClassifier\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Classifier::predict_proba (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB117\fP of file \fBClassifier\&.cc\fP\&.
+.SS "float bayesnet::Classifier::score (std::vector< std::vector< int > > & X, std::vector< int > & y)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB144\fP of file \fBClassifier\&.cc\fP\&.
+.SS "float bayesnet::Classifier::score (torch::Tensor & X, torch::Tensor & y)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB139\fP of file \fBClassifier\&.cc\fP\&.
+.SS "void bayesnet::Classifier::setHyperparameters (const nlohmann::json & hyperparameters)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB188\fP of file \fBClassifier\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Classifier::show () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB151\fP of file \fBClassifier\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Classifier::topological_order ()\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB180\fP of file \fBClassifier\&.cc\fP\&.
+.SS "void bayesnet::Classifier::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB44\fP of file \fBClassifier\&.cc\fP\&.
+.SH "Member Data Documentation"
+.PP 
+.SS "std::string bayesnet::Classifier::className\fR [protected]\fP"
+
+.PP
+Definition at line \fB47\fP of file \fBClassifier\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Classifier::dataset\fR [protected]\fP"
+
+.PP
+Definition at line \fB49\fP of file \fBClassifier\&.h\fP\&.
+.SS "std::vector<std::string> bayesnet::Classifier::features\fR [protected]\fP"
+
+.PP
+Definition at line \fB46\fP of file \fBClassifier\&.h\fP\&.
+.SS "bool bayesnet::Classifier::fitted\fR [protected]\fP"
+
+.PP
+Definition at line \fB42\fP of file \fBClassifier\&.h\fP\&.
+.SS "unsigned int bayesnet::Classifier::m\fR [protected]\fP"
+
+.PP
+Definition at line \fB43\fP of file \fBClassifier\&.h\fP\&.
+.SS "Metrics bayesnet::Classifier::metrics\fR [protected]\fP"
+
+.PP
+Definition at line \fB45\fP of file \fBClassifier\&.h\fP\&.
+.SS "\fBNetwork\fP bayesnet::Classifier::model\fR [protected]\fP"
+
+.PP
+Definition at line \fB44\fP of file \fBClassifier\&.h\fP\&.
+.SS "unsigned int bayesnet::Classifier::n\fR [protected]\fP"
+
+.PP
+Definition at line \fB43\fP of file \fBClassifier\&.h\fP\&.
+.SS "std::vector<std::string> bayesnet::Classifier::notes\fR [protected]\fP"
+
+.PP
+Definition at line \fB51\fP of file \fBClassifier\&.h\fP\&.
+.SS "std::map<std::string, std::vector<int> > bayesnet::Classifier::states\fR [protected]\fP"
+
+.PP
+Definition at line \fB48\fP of file \fBClassifier\&.h\fP\&.
+.SS "status_t bayesnet::Classifier::status = NORMAL\fR [protected]\fP"
+
+.PP
+Definition at line \fB50\fP of file \fBClassifier\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Ensemble.3 b/docs/man3/bayesnet_Ensemble.3
new file mode 100644
index 0000000..f4c6664
--- /dev/null
+++ b/docs/man3/bayesnet_Ensemble.3
@@ -0,0 +1,348 @@
+.TH "bayesnet::Ensemble" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::Ensemble
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Classifier\fP\&.
+.PP
+Inherited by \fBbayesnet::A2DE\fP, \fBbayesnet::AODE\fP, \fBbayesnet::AODELd\fP, and \fBbayesnet::Boost\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBEnsemble\fP (bool predict_voting=true)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "virtual void \fBbuildModel\fP (const torch::Tensor &weights)=0"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Protected Attributes"
+
+.in +1c
+.ti -1c
+.RI "unsigned \fBn_models\fP"
+.br
+.ti -1c
+.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
+.br
+.ti -1c
+.RI "std::vector< double > \fBsignificanceModels\fP"
+.br
+.ti -1c
+.RI "bool \fBpredict_voting\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB15\fP of file \fBEnsemble\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::Ensemble::Ensemble (bool predict_voting = \fRtrue\fP)"
+
+.PP
+Definition at line \fB11\fP of file \fBEnsemble\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "std::vector< int > bayesnet::Ensemble::compute_arg_max (std::vector< std::vector< double > > & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB24\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Ensemble::compute_arg_max (torch::Tensor & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB33\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::string bayesnet::Ensemble::dump_cpt () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB34\fP of file \fBEnsemble\&.h\fP\&.
+.SS "int bayesnet::Ensemble::getNumberOfEdges () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB206\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "int bayesnet::Ensemble::getNumberOfNodes () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB198\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "int bayesnet::Ensemble::getNumberOfStates () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB214\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Ensemble::graph (const std::string & title) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB189\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< int > bayesnet::Ensemble::predict (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB74\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Ensemble::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB79\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_average_proba (std::vector< std::vector< int > > & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB104\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Ensemble::predict_average_proba (torch::Tensor & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB84\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_average_voting (std::vector< std::vector< int > > & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB133\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Ensemble::predict_average_voting (torch::Tensor & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB140\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_proba (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB60\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Ensemble::predict_proba (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB67\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "float bayesnet::Ensemble::score (std::vector< std::vector< int > > & X, std::vector< int > & y)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB169\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "float bayesnet::Ensemble::score (torch::Tensor & X, torch::Tensor & y)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB158\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Ensemble::show () const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB180\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Ensemble::topological_order ()\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB30\fP of file \fBEnsemble\&.h\fP\&.
+.SS "void bayesnet::Ensemble::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB16\fP of file \fBEnsemble\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Ensemble::voting (torch::Tensor & votes)\fR [protected]\fP"
+
+.PP
+Definition at line \fB38\fP of file \fBEnsemble\&.cc\fP\&.
+.SH "Member Data Documentation"
+.PP 
+.SS "std::vector<std::unique_ptr<\fBClassifier\fP> > bayesnet::Ensemble::models\fR [protected]\fP"
+
+.PP
+Definition at line \fB47\fP of file \fBEnsemble\&.h\fP\&.
+.SS "unsigned bayesnet::Ensemble::n_models\fR [protected]\fP"
+
+.PP
+Definition at line \fB46\fP of file \fBEnsemble\&.h\fP\&.
+.SS "bool bayesnet::Ensemble::predict_voting\fR [protected]\fP"
+
+.PP
+Definition at line \fB50\fP of file \fBEnsemble\&.h\fP\&.
+.SS "std::vector<double> bayesnet::Ensemble::significanceModels\fR [protected]\fP"
+
+.PP
+Definition at line \fB48\fP of file \fBEnsemble\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_KDB.3 b/docs/man3/bayesnet_KDB.3
new file mode 100644
index 0000000..0f9615b
--- /dev/null
+++ b/docs/man3/bayesnet_KDB.3
@@ -0,0 +1,201 @@
+.TH "bayesnet::KDB" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::KDB
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Classifier\fP\&.
+.PP
+Inherited by \fBbayesnet::KDBLd\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBKDB\fP (int k, float theta=0\&.03)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='KDB') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB13\fP of file \fBKDB\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::KDB::KDB (int k, float theta = \fR0\&.03\fP)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB10\fP of file \fBKDB\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::KDB::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB28\fP of file \fBKDB\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::KDB::graph (const std::string & name = \fR'KDB'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB103\fP of file \fBKDB\&.cc\fP\&.
+.SS "void bayesnet::KDB::setHyperparameters (const nlohmann::json & hyperparameters_)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB15\fP of file \fBKDB\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_KDBLd.3 b/docs/man3/bayesnet_KDBLd.3
new file mode 100644
index 0000000..4ed0bb5
--- /dev/null
+++ b/docs/man3/bayesnet_KDBLd.3
@@ -0,0 +1,254 @@
+.TH "bayesnet::KDBLd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::KDBLd
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::KDB\fP, and \fBbayesnet::Proposal\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBKDBLd\fP (int k)"
+.br
+.ti -1c
+.RI "\fBKDBLd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='KDB') const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::KDB\fP
+.in +1c
+.ti -1c
+.RI "\fBKDB\fP (int k, float theta=0\&.03)"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
+.br
+.in -1c
+.SS "Static Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "static std::string \fBversion\fP ()"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Member Functions inherited from \fBbayesnet::KDB\fP
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBXf\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy\fP"
+.br
+.ti -1c
+.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB13\fP of file \fBKDBLd\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::KDBLd::KDBLd (int k)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB10\fP of file \fBKDBLd\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "\fBKDBLd\fP & bayesnet::KDBLd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBKDBLd\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::KDBLd::graph (const std::string & name = \fR'KDB'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::KDB\fP\&.
+.PP
+Definition at line \fB31\fP of file \fBKDBLd\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::KDBLd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB26\fP of file \fBKDBLd\&.cc\fP\&.
+.SS "static std::string bayesnet::KDBLd::version ()\fR [inline]\fP, \fR [static]\fP"
+
+.PP
+Definition at line \fB21\fP of file \fBKDBLd\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Network.3 b/docs/man3/bayesnet_Network.3
new file mode 100644
index 0000000..e5b40a9
--- /dev/null
+++ b/docs/man3/bayesnet_Network.3
@@ -0,0 +1,223 @@
+.TH "bayesnet::Network" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::Network
+.SH SYNOPSIS
+.br
+.PP
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBNetwork\fP (float)"
+.br
+.ti -1c
+.RI "\fBNetwork\fP (const \fBNetwork\fP &)"
+.br
+.ti -1c
+.RI "torch::Tensor & \fBgetSamples\fP ()"
+.br
+.ti -1c
+.RI "float \fBgetMaxThreads\fP () const"
+.br
+.ti -1c
+.RI "void \fBaddNode\fP (const std::string &)"
+.br
+.ti -1c
+.RI "void \fBaddEdge\fP (const std::string &, const std::string &)"
+.br
+.ti -1c
+.RI "std::map< std::string, std::unique_ptr< \fBNode\fP > > & \fBgetNodes\fP ()"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetFeatures\fP () const"
+.br
+.ti -1c
+.RI "int \fBgetStates\fP () const"
+.br
+.ti -1c
+.RI "std::vector< std::pair< std::string, std::string > > \fBgetEdges\fP () const"
+.br
+.ti -1c
+.RI "int \fBgetNumEdges\fP () const"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const"
+.br
+.ti -1c
+.RI "std::string \fBgetClassName\fP () const"
+.br
+.ti -1c
+.RI "void \fBfit\fP (const std::vector< std::vector< int > > &input_data, const std::vector< int > &labels, const std::vector< double > &weights, const std::vector< std::string > &featureNames, const std::string &className, const std::map< std::string, std::vector< int > > &states)"
+.br
+.ti -1c
+.RI "void \fBfit\fP (const torch::Tensor &X, const torch::Tensor &y, const torch::Tensor &weights, const std::vector< std::string > &featureNames, const std::string &className, const std::map< std::string, std::vector< int > > &states)"
+.br
+.ti -1c
+.RI "void \fBfit\fP (const torch::Tensor &samples, const torch::Tensor &weights, const std::vector< std::string > &featureNames, const std::string &className, const std::map< std::string, std::vector< int > > &states)"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (const std::vector< std::vector< int > > &)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (const torch::Tensor &)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_tensor\fP (const torch::Tensor &samples, const bool proba)"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (const std::vector< std::vector< int > > &)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (const torch::Tensor &)"
+.br
+.ti -1c
+.RI "double \fBscore\fP (const std::vector< std::vector< int > > &, const std::vector< int > &)"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_sort\fP ()"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const"
+.br
+.ti -1c
+.RI "void \fBinitialize\fP ()"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const"
+.br
+.ti -1c
+.RI "std::string \fBversion\fP ()"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB15\fP of file \fBNetwork\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::Network::Network ()"
+
+.PP
+Definition at line \fB13\fP of file \fBNetwork\&.cc\fP\&.
+.SS "bayesnet::Network::Network (float maxT)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB16\fP of file \fBNetwork\&.cc\fP\&.
+.SS "bayesnet::Network::Network (const \fBNetwork\fP & other)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB20\fP of file \fBNetwork\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::Network::addEdge (const std::string & parent, const std::string & child)"
+
+.PP
+Definition at line \fB95\fP of file \fBNetwork\&.cc\fP\&.
+.SS "void bayesnet::Network::addNode (const std::string & name)"
+
+.PP
+Definition at line \fB46\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::string bayesnet::Network::dump_cpt () const"
+
+.PP
+Definition at line \fB420\fP of file \fBNetwork\&.cc\fP\&.
+.SS "void bayesnet::Network::fit (const std::vector< std::vector< int > > & input_data, const std::vector< int > & labels, const std::vector< double > & weights, const std::vector< std::string > & featureNames, const std::string & className, const std::map< std::string, std::vector< int > > & states)"
+
+.PP
+Definition at line \fB177\fP of file \fBNetwork\&.cc\fP\&.
+.SS "void bayesnet::Network::fit (const torch::Tensor & samples, const torch::Tensor & weights, const std::vector< std::string > & featureNames, const std::string & className, const std::map< std::string, std::vector< int > > & states)"
+
+.PP
+Definition at line \fB169\fP of file \fBNetwork\&.cc\fP\&.
+.SS "void bayesnet::Network::fit (const torch::Tensor & X, const torch::Tensor & y, const torch::Tensor & weights, const std::vector< std::string > & featureNames, const std::string & className, const std::map< std::string, std::vector< int > > & states)"
+
+.PP
+Definition at line \fB158\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::string bayesnet::Network::getClassName () const"
+
+.PP
+Definition at line \fB75\fP of file \fBNetwork\&.cc\fP\&.
+.SS "int bayesnet::Network::getClassNumStates () const"
+
+.PP
+Definition at line \fB63\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< std::pair< std::string, std::string > > bayesnet::Network::getEdges () const"
+
+.PP
+Definition at line \fB371\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Network::getFeatures () const"
+
+.PP
+Definition at line \fB59\fP of file \fBNetwork\&.cc\fP\&.
+.SS "float bayesnet::Network::getMaxThreads () const"
+
+.PP
+Definition at line \fB38\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::map< std::string, std::unique_ptr< \fBNode\fP > > & bayesnet::Network::getNodes ()"
+
+.PP
+Definition at line \fB116\fP of file \fBNetwork\&.cc\fP\&.
+.SS "int bayesnet::Network::getNumEdges () const"
+
+.PP
+Definition at line \fB383\fP of file \fBNetwork\&.cc\fP\&.
+.SS "torch::Tensor & bayesnet::Network::getSamples ()"
+
+.PP
+Definition at line \fB42\fP of file \fBNetwork\&.cc\fP\&.
+.SS "int bayesnet::Network::getStates () const"
+
+.PP
+Definition at line \fB67\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Network::graph (const std::string & title) const"
+
+.PP
+Definition at line \fB357\fP of file \fBNetwork\&.cc\fP\&.
+.SS "void bayesnet::Network::initialize ()"
+
+.PP
+Definition at line \fB29\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< int > bayesnet::Network::predict (const std::vector< std::vector< int > > & tsamples)"
+
+.PP
+Definition at line \fB237\fP of file \fBNetwork\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Network::predict (const torch::Tensor & samples)"
+
+.PP
+Definition at line \fB230\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< std::vector< double > > bayesnet::Network::predict_proba (const std::vector< std::vector< int > > & tsamples)"
+
+.PP
+Definition at line \fB259\fP of file \fBNetwork\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Network::predict_proba (const torch::Tensor & samples)"
+
+.PP
+Definition at line \fB224\fP of file \fBNetwork\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Network::predict_tensor (const torch::Tensor & samples, const bool proba)"
+
+.PP
+Definition at line \fB205\fP of file \fBNetwork\&.cc\fP\&.
+.SS "double bayesnet::Network::score (const std::vector< std::vector< int > > & tsamples, const std::vector< int > & labels)"
+
+.PP
+Definition at line \fB275\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Network::show () const"
+
+.PP
+Definition at line \fB344\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Network::topological_sort ()"
+
+.PP
+Definition at line \fB387\fP of file \fBNetwork\&.cc\fP\&.
+.SS "std::string bayesnet::Network::version ()\fR [inline]\fP"
+
+.PP
+Definition at line \fB49\fP of file \fBNetwork\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Node.3 b/docs/man3/bayesnet_Node.3
new file mode 100644
index 0000000..d3279e4
--- /dev/null
+++ b/docs/man3/bayesnet_Node.3
@@ -0,0 +1,135 @@
+.TH "bayesnet::Node" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::Node
+.SH SYNOPSIS
+.br
+.PP
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBNode\fP (const std::string &)"
+.br
+.ti -1c
+.RI "void \fBclear\fP ()"
+.br
+.ti -1c
+.RI "void \fBaddParent\fP (\fBNode\fP *)"
+.br
+.ti -1c
+.RI "void \fBaddChild\fP (\fBNode\fP *)"
+.br
+.ti -1c
+.RI "void \fBremoveParent\fP (\fBNode\fP *)"
+.br
+.ti -1c
+.RI "void \fBremoveChild\fP (\fBNode\fP *)"
+.br
+.ti -1c
+.RI "std::string \fBgetName\fP () const"
+.br
+.ti -1c
+.RI "std::vector< \fBNode\fP * > & \fBgetParents\fP ()"
+.br
+.ti -1c
+.RI "std::vector< \fBNode\fP * > & \fBgetChildren\fP ()"
+.br
+.ti -1c
+.RI "torch::Tensor & \fBgetCPT\fP ()"
+.br
+.ti -1c
+.RI "void \fBcomputeCPT\fP (const torch::Tensor &dataset, const std::vector< std::string > &features, const double laplaceSmoothing, const torch::Tensor &weights)"
+.br
+.ti -1c
+.RI "int \fBgetNumStates\fP () const"
+.br
+.ti -1c
+.RI "void \fBsetNumStates\fP (int)"
+.br
+.ti -1c
+.RI "unsigned \fBminFill\fP ()"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &clasName)"
+.br
+.ti -1c
+.RI "float \fBgetFactorValue\fP (std::map< std::string, int > &)"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB14\fP of file \fBNode\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::Node::Node (const std::string & name)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBNode\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::Node::addChild (\fBNode\fP * child)"
+
+.PP
+Definition at line \fB39\fP of file \fBNode\&.cc\fP\&.
+.SS "void bayesnet::Node::addParent (\fBNode\fP * parent)"
+
+.PP
+Definition at line \fB27\fP of file \fBNode\&.cc\fP\&.
+.SS "void bayesnet::Node::clear ()"
+
+.PP
+Definition at line \fB15\fP of file \fBNode\&.cc\fP\&.
+.SS "void bayesnet::Node::computeCPT (const torch::Tensor & dataset, const std::vector< std::string > & features, const double laplaceSmoothing, const torch::Tensor & weights)"
+
+.PP
+Definition at line \fB93\fP of file \fBNode\&.cc\fP\&.
+.SS "std::vector< \fBNode\fP * > & bayesnet::Node::getChildren ()"
+
+.PP
+Definition at line \fB47\fP of file \fBNode\&.cc\fP\&.
+.SS "torch::Tensor & bayesnet::Node::getCPT ()"
+
+.PP
+Definition at line \fB59\fP of file \fBNode\&.cc\fP\&.
+.SS "float bayesnet::Node::getFactorValue (std::map< std::string, int > & evidence)"
+
+.PP
+Definition at line \fB124\fP of file \fBNode\&.cc\fP\&.
+.SS "std::string bayesnet::Node::getName () const"
+
+.PP
+Definition at line \fB23\fP of file \fBNode\&.cc\fP\&.
+.SS "int bayesnet::Node::getNumStates () const"
+
+.PP
+Definition at line \fB51\fP of file \fBNode\&.cc\fP\&.
+.SS "std::vector< \fBNode\fP * > & bayesnet::Node::getParents ()"
+
+.PP
+Definition at line \fB43\fP of file \fBNode\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::Node::graph (const std::string & clasName)"
+
+.PP
+Definition at line \fB132\fP of file \fBNode\&.cc\fP\&.
+.SS "unsigned bayesnet::Node::minFill ()"
+
+.PP
+Definition at line \fB70\fP of file \fBNode\&.cc\fP\&.
+.SS "void bayesnet::Node::removeChild (\fBNode\fP * child)"
+
+.PP
+Definition at line \fB35\fP of file \fBNode\&.cc\fP\&.
+.SS "void bayesnet::Node::removeParent (\fBNode\fP * parent)"
+
+.PP
+Definition at line \fB31\fP of file \fBNode\&.cc\fP\&.
+.SS "void bayesnet::Node::setNumStates (int numStates)"
+
+.PP
+Definition at line \fB55\fP of file \fBNode\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Proposal.3 b/docs/man3/bayesnet_Proposal.3
new file mode 100644
index 0000000..ad37186
--- /dev/null
+++ b/docs/man3/bayesnet_Proposal.3
@@ -0,0 +1,95 @@
+.TH "bayesnet::Proposal" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::Proposal
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherited by \fBbayesnet::AODELd\fP, \fBbayesnet::KDBLd\fP, \fBbayesnet::SPODELd\fP, and \fBbayesnet::TANLd\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
+.br
+.in -1c
+.SS "Protected Attributes"
+
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBXf\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy\fP"
+.br
+.ti -1c
+.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB17\fP of file \fBProposal\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::Proposal::Proposal (torch::Tensor & pDataset, std::vector< std::string > & features_, std::string & className_)"
+
+.PP
+Definition at line \fB10\fP of file \fBProposal\&.cc\fP\&.
+.SS "bayesnet::Proposal::~Proposal ()\fR [virtual]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBProposal\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::Proposal::checkInput (const torch::Tensor & X, const torch::Tensor & y)\fR [protected]\fP"
+
+.PP
+Definition at line \fB17\fP of file \fBProposal\&.cc\fP\&.
+.SS "map< std::string, std::vector< int > > bayesnet::Proposal::fit_local_discretization (const torch::Tensor & y)\fR [protected]\fP"
+
+.PP
+Definition at line \fB77\fP of file \fBProposal\&.cc\fP\&.
+.SS "map< std::string, std::vector< int > > bayesnet::Proposal::localDiscretizationProposal (const map< std::string, std::vector< int > > & states, \fBNetwork\fP & model)\fR [protected]\fP"
+
+.PP
+Definition at line \fB26\fP of file \fBProposal\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::Proposal::prepareX (torch::Tensor & X)\fR [protected]\fP"
+
+.PP
+Definition at line \fB104\fP of file \fBProposal\&.cc\fP\&.
+.SH "Member Data Documentation"
+.PP 
+.SS "map<std::string, mdlp::CPPFImdlp*> bayesnet::Proposal::discretizers\fR [protected]\fP"
+
+.PP
+Definition at line \fB28\fP of file \fBProposal\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Proposal::Xf\fR [protected]\fP"
+
+.PP
+Definition at line \fB26\fP of file \fBProposal\&.h\fP\&.
+.SS "torch::Tensor bayesnet::Proposal::y\fR [protected]\fP"
+
+.PP
+Definition at line \fB27\fP of file \fBProposal\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_SPODE.3 b/docs/man3/bayesnet_SPODE.3
new file mode 100644
index 0000000..d75d468
--- /dev/null
+++ b/docs/man3/bayesnet_SPODE.3
@@ -0,0 +1,195 @@
+.TH "bayesnet::SPODE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::SPODE
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Classifier\fP\&.
+.PP
+Inherited by \fBbayesnet::SPODELd\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBSPODE\fP (int root)"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='SPODE') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB12\fP of file \fBSPODE\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::SPODE::SPODE (int root)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBSPODE\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::SPODE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB13\fP of file \fBSPODE\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::SPODE::graph (const std::string & name = \fR'SPODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB26\fP of file \fBSPODE\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_SPODELd.3 b/docs/man3/bayesnet_SPODELd.3
new file mode 100644
index 0000000..43e1bdc
--- /dev/null
+++ b/docs/man3/bayesnet_SPODELd.3
@@ -0,0 +1,268 @@
+.TH "bayesnet::SPODELd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::SPODELd
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::SPODE\fP, and \fBbayesnet::Proposal\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBSPODELd\fP (int root)"
+.br
+.ti -1c
+.RI "\fBSPODELd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBSPODELd\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBSPODELd\fP & \fBcommonFit\fP (const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states)"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='SPODE') const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::SPODE\fP
+.in +1c
+.ti -1c
+.RI "\fBSPODE\fP (int root)"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
+.br
+.in -1c
+.SS "Static Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "static std::string \fBversion\fP ()"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Member Functions inherited from \fBbayesnet::SPODE\fP
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBXf\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy\fP"
+.br
+.ti -1c
+.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB13\fP of file \fBSPODELd\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::SPODELd::SPODELd (int root)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB10\fP of file \fBSPODELd\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "\fBSPODELd\fP & bayesnet::SPODELd::commonFit (const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)"
+
+.PP
+Definition at line \fB29\fP of file \fBSPODELd\&.cc\fP\&.
+.SS "\fBSPODELd\fP & bayesnet::SPODELd::fit (torch::Tensor & dataset, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
+
+.PP
+Definition at line \fB19\fP of file \fBSPODELd\&.cc\fP\&.
+.SS "\fBSPODELd\fP & bayesnet::SPODELd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBSPODELd\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::SPODELd::graph (const std::string & name = \fR'SPODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::SPODE\fP\&.
+.PP
+Definition at line \fB46\fP of file \fBSPODELd\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::SPODELd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB41\fP of file \fBSPODELd\&.cc\fP\&.
+.SS "static std::string bayesnet::SPODELd::version ()\fR [inline]\fP, \fR [static]\fP"
+
+.PP
+Definition at line \fB22\fP of file \fBSPODELd\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_SPnDE.3 b/docs/man3/bayesnet_SPnDE.3
new file mode 100644
index 0000000..afb6e61
--- /dev/null
+++ b/docs/man3/bayesnet_SPnDE.3
@@ -0,0 +1,193 @@
+.TH "bayesnet::SPnDE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::SPnDE
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Classifier\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBSPnDE\fP (std::vector< int > parents)"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='SPnDE') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB13\fP of file \fBSPnDE\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::SPnDE::SPnDE (std::vector< int > parents)\fR [explicit]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBSPnDE\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::SPnDE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB13\fP of file \fBSPnDE\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::SPnDE::graph (const std::string & name = \fR'SPnDE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB33\fP of file \fBSPnDE\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_TAN.3 b/docs/man3/bayesnet_TAN.3
new file mode 100644
index 0000000..1aa8b71
--- /dev/null
+++ b/docs/man3/bayesnet_TAN.3
@@ -0,0 +1,192 @@
+.TH "bayesnet::TAN" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::TAN
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::Classifier\fP\&.
+.PP
+Inherited by \fBbayesnet::TANLd\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='TAN') const override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+.SS "Protected Member Functions"
+
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB11\fP of file \fBTAN\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::TAN::TAN ()"
+
+.PP
+Definition at line \fB10\fP of file \fBTAN\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "void bayesnet::TAN::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB12\fP of file \fBTAN\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::TAN::graph (const std::string & name = \fR'TAN'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Implements \fBbayesnet::BaseClassifier\fP\&.
+.PP
+Definition at line \fB41\fP of file \fBTAN\&.cc\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_TANLd.3 b/docs/man3/bayesnet_TANLd.3
new file mode 100644
index 0000000..45b05d3
--- /dev/null
+++ b/docs/man3/bayesnet_TANLd.3
@@ -0,0 +1,244 @@
+.TH "bayesnet::TANLd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
+.ad l
+.nh
+.SH NAME
+bayesnet::TANLd
+.SH SYNOPSIS
+.br
+.PP
+.PP
+Inherits \fBbayesnet::TAN\fP, and \fBbayesnet::Proposal\fP\&.
+.SS "Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "\fBTANLd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='TAN') const override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "\fBClassifier\fP (\fBNetwork\fP model)"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
+.br
+.ti -1c
+.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBaddNodes\fP ()"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfNodes\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfEdges\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetNumberOfStates\fP () const override"
+.br
+.ti -1c
+.RI "int \fBgetClassNumStates\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
+.br
+.ti -1c
+.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
+.br
+.ti -1c
+.RI "status_t \fBgetStatus\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBgetVersion\fP () override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
+.br
+.ti -1c
+.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBshow\fP () const override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBtopological_order\fP () override"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBgetNotes\fP () const override"
+.br
+.ti -1c
+.RI "std::string \fBdump_cpt\fP () const override"
+.br
+.ti -1c
+.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
+.br
+.in -1c
+
+Public Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
+.br
+.in -1c
+.SS "Static Public Member Functions"
+
+.in +1c
+.ti -1c
+.RI "static std::string \fBversion\fP ()"
+.br
+.in -1c
+.SS "Additional Inherited Members"
+
+
+Protected Member Functions inherited from \fBbayesnet::TAN\fP
+.in +1c
+.ti -1c
+.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckFitParameters\fP ()"
+.br
+.ti -1c
+.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
+.br
+.ti -1c
+.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Member Functions inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
+.br
+.ti -1c
+.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
+.br
+.ti -1c
+.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Classifier\fP
+.in +1c
+.ti -1c
+.RI "bool \fBfitted\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBm\fP"
+.br
+.ti -1c
+.RI "unsigned int \fBn\fP"
+.br
+.ti -1c
+.RI "\fBNetwork\fP \fBmodel\fP"
+.br
+.ti -1c
+.RI "Metrics \fBmetrics\fP"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBfeatures\fP"
+.br
+.ti -1c
+.RI "std::string \fBclassName\fP"
+.br
+.ti -1c
+.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBdataset\fP"
+.br
+.ti -1c
+.RI "status_t \fBstatus\fP = NORMAL"
+.br
+.ti -1c
+.RI "std::vector< std::string > \fBnotes\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
+.in +1c
+.ti -1c
+.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
+.br
+.in -1c
+
+Protected Attributes inherited from \fBbayesnet::Proposal\fP
+.in +1c
+.ti -1c
+.RI "torch::Tensor \fBXf\fP"
+.br
+.ti -1c
+.RI "torch::Tensor \fBy\fP"
+.br
+.ti -1c
+.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
+.br
+.in -1c
+.SH "Detailed Description"
+.PP 
+Definition at line \fB13\fP of file \fBTANLd\&.h\fP\&.
+.SH "Constructor & Destructor Documentation"
+.PP 
+.SS "bayesnet::TANLd::TANLd ()"
+
+.PP
+Definition at line \fB10\fP of file \fBTANLd\&.cc\fP\&.
+.SH "Member Function Documentation"
+.PP 
+.SS "\fBTANLd\fP & bayesnet::TANLd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
+
+.PP
+Definition at line \fB11\fP of file \fBTANLd\&.cc\fP\&.
+.SS "std::vector< std::string > bayesnet::TANLd::graph (const std::string & name = \fR'TAN'\fP) const\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::TAN\fP\&.
+.PP
+Definition at line \fB32\fP of file \fBTANLd\&.cc\fP\&.
+.SS "torch::Tensor bayesnet::TANLd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
+
+.PP
+Reimplemented from \fBbayesnet::Classifier\fP\&.
+.PP
+Definition at line \fB27\fP of file \fBTANLd\&.cc\fP\&.
+.SS "static std::string bayesnet::TANLd::version ()\fR [inline]\fP, \fR [static]\fP"
+
+.PP
+Definition at line \fB21\fP of file \fBTANLd\&.h\fP\&.
+
+.SH "Author"
+.PP 
+Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/manual/_a2_d_e_8cc_source.html b/docs/manual/_a2_d_e_8cc_source.html
new file mode 100644
index 0000000..c60a9ee
--- /dev/null
+++ b/docs/manual/_a2_d_e_8cc_source.html
@@ -0,0 +1,154 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/A2DE.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_a2_d_e_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">A2DE.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;A2DE.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    A2DE::A2DE(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting)</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        validHyperparameters = { <span class="stringliteral">&quot;predict_voting&quot;</span> };</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    }</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keywordtype">void</span> A2DE::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    {</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;predict_voting&quot;</span>)) {</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>            predict_voting = hyperparameters[<span class="stringliteral">&quot;predict_voting&quot;</span>];</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            hyperparameters.erase(<span class="stringliteral">&quot;predict_voting&quot;</span>);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        }</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        Classifier::setHyperparameters(hyperparameters);</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    }</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    <span class="keywordtype">void</span> A2DE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    {</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        models.clear();</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        significanceModels.clear();</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; features.size() - 1; ++i) {</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = i + 1; j &lt; features.size(); ++j) {</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>                <span class="keyword">auto</span> model = std::make_unique&lt;SPnDE&gt;(std::vector&lt;int&gt;({ i, j }));</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>                models.push_back(std::move(model));</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>            }</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        }</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        n_models = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span><span class="keyword">&gt;</span>(models.size());</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    }</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    std::vector&lt;std::string&gt; A2DE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    }</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>A2DE.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_a2_d_e_8h_source.html b/docs/manual/_a2_d_e_8h_source.html
new file mode 100644
index 0000000..9264c69
--- /dev/null
+++ b/docs/manual/_a2_d_e_8h_source.html
@@ -0,0 +1,140 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/A2DE.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_a2_d_e_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">A2DE.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef A2DE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define A2DE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPnDE.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00012" data-start="{" data-end="};">
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_a2_d_e.html">   12</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_a2_d_e.html">A2DE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <a class="code hl_class" href="classbayesnet_1_1_a2_d_e.html">A2DE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_a2_d_e.html">~A2DE</a>() {};</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;A2DE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    };</div>
+</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>}</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_a2_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00012">A2DE.h:12</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>A2DE.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_a_o_d_e_8cc_source.html b/docs/manual/_a_o_d_e_8cc_source.html
new file mode 100644
index 0000000..01ec16d
--- /dev/null
+++ b/docs/manual/_a_o_d_e_8cc_source.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODE.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_a_o_d_e_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">AODE.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;AODE.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    AODE::AODE(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting)</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        validHyperparameters = { <span class="stringliteral">&quot;predict_voting&quot;</span> };</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    }</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keywordtype">void</span> AODE::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    {</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;predict_voting&quot;</span>)) {</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            predict_voting = hyperparameters[<span class="stringliteral">&quot;predict_voting&quot;</span>];</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            hyperparameters.erase(<span class="stringliteral">&quot;predict_voting&quot;</span>);</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        }</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        Classifier::setHyperparameters(hyperparameters);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    }</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    <span class="keywordtype">void</span> AODE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    {</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        models.clear();</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        significanceModels.clear();</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; features.size(); ++i) {</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>            models.push_back(std::make_unique&lt;SPODE&gt;(i));</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        }</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        n_models = models.size();</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    }</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    std::vector&lt;std::string&gt; AODE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    }</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODE.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_a_o_d_e_8h_source.html b/docs/manual/_a_o_d_e_8h_source.html
new file mode 100644
index 0000000..dbd20c0
--- /dev/null
+++ b/docs/manual/_a_o_d_e_8h_source.html
@@ -0,0 +1,140 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODE.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_a_o_d_e_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">AODE.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef AODE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define AODE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPODE.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00012" data-start="{" data-end="};">
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_a_o_d_e.html">   12</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_a_o_d_e.html">AODE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e.html">AODE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e.html">~AODE</a>() {};</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;AODE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    };</div>
+</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>}</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_a_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00012">AODE.h:12</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODE.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_a_o_d_e_ld_8cc_source.html b/docs/manual/_a_o_d_e_ld_8cc_source.html
new file mode 100644
index 0000000..bcc508c
--- /dev/null
+++ b/docs/manual/_a_o_d_e_ld_8cc_source.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODELd.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_a_o_d_e_ld_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">AODELd.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;AODELd.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    AODELd::AODELd(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting), Proposal(dataset, features, className)</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    }</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    AODELd&amp; AODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        checkInput(X_, y_);</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        features = features_;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        className = className_;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        Xf = X_;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        y = y_;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        states = fit_local_discretization(y);</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="comment">// We have discretized the input data</span></div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="comment">// 1st we need to fit the model to build the normal TAN structure, TAN::fit initializes the base Bayesian network</span></div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        Ensemble::fit(dataset, features, className, states);</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span> </div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    }</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    <span class="keywordtype">void</span> AODELd::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    {</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        models.clear();</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; features.size(); ++i) {</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            models.push_back(std::make_unique&lt;SPODELd&gt;(i));</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        }</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        n_models = models.size();</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    }</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    <span class="keywordtype">void</span> AODELd::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    {</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; model : models) {</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>            model-&gt;fit(Xf, y, features, className, states);</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        }</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    }</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    std::vector&lt;std::string&gt; AODELd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordflow">return</span> Ensemble::graph(name);</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    }</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODELd.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_a_o_d_e_ld_8h_source.html b/docs/manual/_a_o_d_e_ld_8h_source.html
new file mode 100644
index 0000000..1420501
--- /dev/null
+++ b/docs/manual/_a_o_d_e_ld_8h_source.html
@@ -0,0 +1,144 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODELd.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_a_o_d_e_ld_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">AODELd.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef AODELD_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define AODELD_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/classifiers/Proposal.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPODELd.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span> </div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00014" data-start="{" data-end="};">
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_a_o_d_e_ld.html">   14</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">true</span>);</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">~AODELd</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a>&amp; fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;AODELd&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    };</div>
+</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>}</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="preprocessor">#endif </span><span class="comment">// !AODELD_H</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_a_o_d_e_ld_html"><div class="ttname"><a href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00014">AODELd.h:14</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODELd.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_base_classifier_8h_source.html b/docs/manual/_base_classifier_8h_source.html
new file mode 100644
index 0000000..e27c0b8
--- /dev/null
+++ b/docs/manual/_base_classifier_8h_source.html
@@ -0,0 +1,162 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/BaseClassifier.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_base_classifier_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">BaseClassifier.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#pragma once</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;nlohmann/json.hpp&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="keyword">enum</span> status_t { NORMAL, WARNING, ERROR };</div>
+<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_base_classifier.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="comment">// X is nxm std::vector, y is nx1 std::vector</span></div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="comment">// X is nxm tensor, y is nx1 tensor</span></div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights) = 0;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">~BaseClassifier</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        torch::Tensor <span class="keyword">virtual</span> predict(torch::Tensor&amp; X) = 0;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::vector&lt;int&gt; <span class="keyword">virtual</span> predict(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        torch::Tensor <span class="keyword">virtual</span> predict_proba(torch::Tensor&amp; X) = 0;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::vector&lt;std::vector&lt;double&gt;&gt; <span class="keyword">virtual</span> predict_proba(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        status_t <span class="keyword">virtual</span> getStatus() <span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">float</span> <span class="keyword">virtual</span> score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) = 0;</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordtype">float</span> <span class="keyword">virtual</span> score(torch::Tensor&amp; X, torch::Tensor&amp; y) = 0;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getNumberOfNodes()<span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getNumberOfEdges()<span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getNumberOfStates() <span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getClassNumStates() <span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> show() <span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;&quot;</span>) <span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keyword">virtual</span> std::string getVersion() = 0;</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> topological_order() = 0;</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> getNotes() <span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::string <span class="keyword">virtual</span> dump_cpt()<span class="keyword">const</span> = 0;</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keyword">virtual</span> <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) = 0;</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        std::vector&lt;std::string&gt;&amp; getValidHyperparameters() { <span class="keywordflow">return</span> validHyperparameters; }</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keyword">virtual</span> <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) = 0;</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        std::vector&lt;std::string&gt; validHyperparameters;</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    };</div>
+</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>}</div>
+<div class="ttc" id="aclassbayesnet_1_1_base_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">BaseClassifier.h:13</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><b>BaseClassifier.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_boost_8cc_source.html b/docs/manual/_boost_8cc_source.html
new file mode 100644
index 0000000..a6fda15
--- /dev/null
+++ b/docs/manual/_boost_8cc_source.html
@@ -0,0 +1,360 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Boost.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_boost_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Boost.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="preprocessor">#include &lt;folding.hpp&gt;</span></div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/CFS.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/FCBF.h&quot;</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/IWSS.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Boost.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    Boost::Boost(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting)</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        validHyperparameters = { <span class="stringliteral">&quot;order&quot;</span>, <span class="stringliteral">&quot;convergence&quot;</span>, <span class="stringliteral">&quot;convergence_best&quot;</span>, <span class="stringliteral">&quot;bisection&quot;</span>, <span class="stringliteral">&quot;threshold&quot;</span>, <span class="stringliteral">&quot;maxTolerance&quot;</span>,</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="stringliteral">&quot;predict_voting&quot;</span>, <span class="stringliteral">&quot;select_features&quot;</span>, <span class="stringliteral">&quot;block_update&quot;</span> };</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    }</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keywordtype">void</span> Boost::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    {</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;order&quot;</span>)) {</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            std::vector&lt;std::string&gt; algos = { Orders.ASC, Orders.DESC, Orders.RAND };</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            order_algorithm = hyperparameters[<span class="stringliteral">&quot;order&quot;</span>];</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            <span class="keywordflow">if</span> (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid order algorithm, valid values [&quot;</span> + Orders.ASC + <span class="stringliteral">&quot;, &quot;</span> + Orders.DESC + <span class="stringliteral">&quot;, &quot;</span> + Orders.RAND + <span class="stringliteral">&quot;]&quot;</span>);</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            }</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            hyperparameters.erase(<span class="stringliteral">&quot;order&quot;</span>);</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        }</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;convergence&quot;</span>)) {</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>            convergence = hyperparameters[<span class="stringliteral">&quot;convergence&quot;</span>];</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>            hyperparameters.erase(<span class="stringliteral">&quot;convergence&quot;</span>);</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        }</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;convergence_best&quot;</span>)) {</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>            convergence_best = hyperparameters[<span class="stringliteral">&quot;convergence_best&quot;</span>];</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>            hyperparameters.erase(<span class="stringliteral">&quot;convergence_best&quot;</span>);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        }</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;bisection&quot;</span>)) {</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            bisection = hyperparameters[<span class="stringliteral">&quot;bisection&quot;</span>];</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            hyperparameters.erase(<span class="stringliteral">&quot;bisection&quot;</span>);</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        }</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;threshold&quot;</span>)) {</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>            threshold = hyperparameters[<span class="stringliteral">&quot;threshold&quot;</span>];</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>            hyperparameters.erase(<span class="stringliteral">&quot;threshold&quot;</span>);</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        }</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;maxTolerance&quot;</span>)) {</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>            maxTolerance = hyperparameters[<span class="stringliteral">&quot;maxTolerance&quot;</span>];</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>            <span class="keywordflow">if</span> (maxTolerance &lt; 1 || maxTolerance &gt; 4)</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid maxTolerance value, must be greater in [1, 4]&quot;</span>);</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            hyperparameters.erase(<span class="stringliteral">&quot;maxTolerance&quot;</span>);</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        }</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;predict_voting&quot;</span>)) {</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>            predict_voting = hyperparameters[<span class="stringliteral">&quot;predict_voting&quot;</span>];</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            hyperparameters.erase(<span class="stringliteral">&quot;predict_voting&quot;</span>);</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        }</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;select_features&quot;</span>)) {</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            <span class="keyword">auto</span> selectedAlgorithm = hyperparameters[<span class="stringliteral">&quot;select_features&quot;</span>];</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            std::vector&lt;std::string&gt; algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>            selectFeatures = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>            select_features_algorithm = selectedAlgorithm;</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>            <span class="keywordflow">if</span> (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid selectFeatures value, valid values [&quot;</span> + SelectFeatures.IWSS + <span class="stringliteral">&quot;, &quot;</span> + SelectFeatures.CFS + <span class="stringliteral">&quot;, &quot;</span> + SelectFeatures.FCBF + <span class="stringliteral">&quot;]&quot;</span>);</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            }</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            hyperparameters.erase(<span class="stringliteral">&quot;select_features&quot;</span>);</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        }</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;block_update&quot;</span>)) {</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>            block_update = hyperparameters[<span class="stringliteral">&quot;block_update&quot;</span>];</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>            hyperparameters.erase(<span class="stringliteral">&quot;block_update&quot;</span>);</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        }</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        Classifier::setHyperparameters(hyperparameters);</div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    }</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    <span class="keywordtype">void</span> Boost::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>    {</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="comment">// Models shall be built in trainModel</span></div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        models.clear();</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        significanceModels.clear();</div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        n_models = 0;</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="comment">// Prepare the validation dataset</span></div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        <span class="keyword">auto</span> y_ = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="keywordflow">if</span> (convergence) {</div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>            <span class="comment">// Prepare train &amp; validation sets from train data</span></div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>            <span class="keyword">auto</span> fold = folding::StratifiedKFold(5, y_, 271);</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>            <span class="keyword">auto</span> [train, test] = fold.getFold(0);</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>            <span class="keyword">auto</span> train_t = torch::tensor(train);</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            <span class="keyword">auto</span> test_t = torch::tensor(test);</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="comment">// Get train and validation sets</span></div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            y_train = dataset.index({ -1, train_t });</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            y_test = dataset.index({ -1, test_t });</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            dataset = X_train;</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            m = X_train.size(1);</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>            <span class="keyword">auto</span> n_classes = states.at(className).size();</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            <span class="comment">// Build dataset with train data</span></div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            buildDataset(y_train);</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>            metrics = Metrics(dataset, features, className, n_classes);</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>            <span class="comment">// Use all data to train</span></div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            y_train = y_;</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        }</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>    }</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    std::vector&lt;int&gt; Boost::featureSelection(torch::Tensor&amp; weights_)</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    {</div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        <span class="keywordtype">int</span> maxFeatures = 0;</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        <span class="keywordflow">if</span> (select_features_algorithm == SelectFeatures.CFS) {</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>            featureSelector = <span class="keyword">new</span> CFS(dataset, features, className, maxFeatures, states.at(className).size(), weights_);</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (select_features_algorithm == SelectFeatures.IWSS) {</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            <span class="keywordflow">if</span> (threshold &lt; 0 || threshold &gt;0.5) {</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid threshold value for &quot;</span> + SelectFeatures.IWSS + <span class="stringliteral">&quot; [0, 0.5]&quot;</span>);</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            }</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>            featureSelector = <span class="keyword">new</span> IWSS(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (select_features_algorithm == SelectFeatures.FCBF) {</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            <span class="keywordflow">if</span> (threshold &lt; 1e-7 || threshold &gt; 1) {</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid threshold value for &quot;</span> + SelectFeatures.FCBF + <span class="stringliteral">&quot; [1e-7, 1]&quot;</span>);</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>            }</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>            featureSelector = <span class="keyword">new</span> FCBF(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        }</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        featureSelector-&gt;fit();</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keyword">auto</span> featuresUsed = featureSelector-&gt;getFeatures();</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        <span class="keyword">delete</span> featureSelector;</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        <span class="keywordflow">return</span> featuresUsed;</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>    }</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    std::tuple&lt;torch::Tensor&amp;, double, bool&gt; Boost::update_weights(torch::Tensor&amp; ytrain, torch::Tensor&amp; ypred, torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    {</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        <span class="keywordtype">bool</span> terminate = <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keywordtype">double</span> alpha_t = 0;</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="keyword">auto</span> mask_wrong = ypred != ytrain;</div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <span class="keyword">auto</span> mask_right = ypred == ytrain;</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keyword">auto</span> masked_weights = weights * mask_wrong.to(weights.dtype());</div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keywordtype">double</span> epsilon_t = masked_weights.sum().item&lt;<span class="keywordtype">double</span>&gt;();</div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordflow">if</span> (epsilon_t &gt; 0.5) {</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            <span class="comment">// Inverse the weights policy (plot ln(wt))</span></div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>            <span class="comment">// &quot;In each round of AdaBoost, there is a sanity check to ensure that the current base </span></div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            <span class="comment">// learner is better than random guess&quot; (Zhi-Hua Zhou, 2012)</span></div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>            terminate = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>            <span class="keywordtype">double</span> wt = (1 - epsilon_t) / epsilon_t;</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            alpha_t = epsilon_t == 0 ? 1 : 0.5 * log(wt);</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>            <span class="comment">// Step 3.2: Update weights for next classifier</span></div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>            <span class="comment">// Step 3.2.1: Update weights of wrong samples</span></div>
+<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>            weights += mask_wrong.to(weights.dtype()) * exp(alpha_t) * weights;</div>
+<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>            <span class="comment">// Step 3.2.2: Update weights of right samples</span></div>
+<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>            weights += mask_right.to(weights.dtype()) * exp(-alpha_t) * weights;</div>
+<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="comment">// Step 3.3: Normalise the weights</span></div>
+<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>            <span class="keywordtype">double</span> totalWeights = torch::sum(weights).item&lt;<span class="keywordtype">double</span>&gt;();</div>
+<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            weights = weights / totalWeights;</div>
+<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        }</div>
+<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        <span class="keywordflow">return</span> { weights, alpha_t, terminate };</div>
+<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    }</div>
+<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    std::tuple&lt;torch::Tensor&amp;, double, bool&gt; Boost::update_weights_block(<span class="keywordtype">int</span> k, torch::Tensor&amp; ytrain, torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    {</div>
+<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        <span class="comment">/* Update Block algorithm</span></div>
+<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment">            k = # of models in block</span></div>
+<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span><span class="comment">            n_models = # of models in ensemble to make predictions</span></div>
+<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span><span class="comment">            n_models_bak = # models saved</span></div>
+<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span><span class="comment">            models = vector of models to make predictions</span></div>
+<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span><span class="comment">            models_bak = models not used to make predictions</span></div>
+<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="comment">            significances_bak = backup of significances vector</span></div>
+<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span><span class="comment"></span> </div>
+<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">            Case list</span></div>
+<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="comment">            A) k = 1, n_models = 1      =&gt; n = 0 , n_models = n + k</span></div>
+<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span><span class="comment">            B) k = 1, n_models = n + 1  =&gt; n_models = n + k</span></div>
+<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span><span class="comment">            C) k &gt; 1, n_models = k + 1  =&gt; n= 1, n_models = n + k</span></div>
+<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="comment">            D) k &gt; 1, n_models = k      =&gt; n = 0, n_models = n + k</span></div>
+<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span><span class="comment">            E) k &gt; 1, n_models = k + n  =&gt; n_models = n + k</span></div>
+<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span><span class="comment"></span> </div>
+<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span><span class="comment">            A, D) n=0, k &gt; 0, n_models == k</span></div>
+<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span><span class="comment">            1. n_models_bak &lt;- n_models</span></div>
+<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="comment">            2. significances_bak &lt;- significances</span></div>
+<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span><span class="comment">            3. significances = vector(k, 1)</span></div>
+<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span><span class="comment">            4. Don’t move any classifiers out of models</span></div>
+<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span><span class="comment">            5. n_models &lt;- k</span></div>
+<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="comment">            6. Make prediction, compute alpha, update weights</span></div>
+<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span><span class="comment">            7. Don’t restore any classifiers to models</span></div>
+<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span><span class="comment">            8. significances &lt;- significances_bak</span></div>
+<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment">            9. Update last k significances</span></div>
+<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">            10. n_models &lt;- n_models_bak</span></div>
+<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment"></span> </div>
+<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span><span class="comment">            B, C, E) n &gt; 0, k &gt; 0, n_models == n + k</span></div>
+<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span><span class="comment">            1. n_models_bak &lt;- n_models</span></div>
+<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span><span class="comment">            2. significances_bak &lt;- significances</span></div>
+<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span><span class="comment">            3. significances = vector(k, 1)</span></div>
+<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span><span class="comment">            4. Move first n classifiers to models_bak</span></div>
+<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment">            5. n_models &lt;- k</span></div>
+<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="comment">            6. Make prediction, compute alpha, update weights</span></div>
+<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span><span class="comment">            7. Insert classifiers in models_bak to be the first n models</span></div>
+<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span><span class="comment">            8. significances &lt;- significances_bak</span></div>
+<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span><span class="comment">            9. Update last k significances</span></div>
+<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span><span class="comment">            10. n_models &lt;- n_models_bak</span></div>
+<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="comment">        */</span></div>
+<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        <span class="comment">// Make predict with only the last k models</span></div>
+<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        std::unique_ptr&lt;Classifier&gt; model;</div>
+<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        std::vector&lt;std::unique_ptr&lt;Classifier&gt;&gt; models_bak;</div>
+<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        <span class="comment">// 1. n_models_bak &lt;- n_models 2. significances_bak &lt;- significances</span></div>
+<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        <span class="keyword">auto</span> significance_bak = significanceModels;</div>
+<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>        <span class="keyword">auto</span> n_models_bak = n_models;</div>
+<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        <span class="comment">// 3. significances = vector(k, 1)</span></div>
+<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        significanceModels = std::vector&lt;double&gt;(k, 1.0);</div>
+<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <span class="comment">// 4. Move first n classifiers to models_bak</span></div>
+<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        <span class="comment">// backup the first n_models - k models (if n_models == k, don&#39;t backup any)</span></div>
+<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n_models - k; ++i) {</div>
+<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>            model = std::move(models[0]);</div>
+<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>            models.erase(models.begin());</div>
+<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>            models_bak.push_back(std::move(model));</div>
+<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        }</div>
+<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>        assert(models.size() == k);</div>
+<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        <span class="comment">// 5. n_models &lt;- k</span></div>
+<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>        n_models = k;</div>
+<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        <span class="comment">// 6. Make prediction, compute alpha, update weights</span></div>
+<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keyword">auto</span> ypred = predict(X_train);</div>
+<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>        <span class="comment">// Update weights</span></div>
+<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>        <span class="keywordtype">double</span> alpha_t;</div>
+<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>        <span class="keywordtype">bool</span> terminate;</div>
+<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>        std::tie(weights, alpha_t, terminate) = update_weights(y_train, ypred, weights);</div>
+<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <span class="comment">// Restore the models if needed</span></div>
+<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>        <span class="comment">// 7. Insert classifiers in models_bak to be the first n models</span></div>
+<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>        <span class="comment">// if n_models_bak == k, don&#39;t restore any, because none of them were moved</span></div>
+<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>        <span class="keywordflow">if</span> (k != n_models_bak) {</div>
+<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>            <span class="comment">// Insert in the same order as they were extracted</span></div>
+<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>            <span class="keywordtype">int</span> bak_size = models_bak.size();</div>
+<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; bak_size; ++i) {</div>
+<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>                model = std::move(models_bak[bak_size - 1 - i]);</div>
+<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>                models_bak.erase(models_bak.end() - 1);</div>
+<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>                models.insert(models.begin(), std::move(model));</div>
+<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>            }</div>
+<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        }</div>
+<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>        <span class="comment">// 8. significances &lt;- significances_bak</span></div>
+<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>        significanceModels = significance_bak;</div>
+<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>        <span class="comment">// Update the significance of the last k models</span></div>
+<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>        <span class="comment">// 9. Update last k significances</span></div>
+<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; k; ++i) {</div>
+<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>            significanceModels[n_models_bak - k + i] = alpha_t;</div>
+<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        }</div>
+<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        <span class="comment">// 10. n_models &lt;- n_models_bak</span></div>
+<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        n_models = n_models_bak;</div>
+<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="keywordflow">return</span> { weights, alpha_t, terminate };</div>
+<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>    }</div>
+<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Boost.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_boost_8h_source.html b/docs/manual/_boost_8h_source.html
new file mode 100644
index 0000000..eb96a69
--- /dev/null
+++ b/docs/manual/_boost_8h_source.html
@@ -0,0 +1,170 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Boost.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_boost_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Boost.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef BOOST_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define BOOST_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;tuple&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;nlohmann/json.hpp&gt;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/FeatureSelect.h&quot;</span></div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <span class="keyword">const</span> <span class="keyword">struct </span>{</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        std::string CFS = <span class="stringliteral">&quot;CFS&quot;</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::string FCBF = <span class="stringliteral">&quot;FCBF&quot;</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::string IWSS = <span class="stringliteral">&quot;IWSS&quot;</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    }SelectFeatures;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    <span class="keyword">const</span> <span class="keyword">struct </span>{</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::string ASC = <span class="stringliteral">&quot;asc&quot;</span>;</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        std::string DESC = <span class="stringliteral">&quot;desc&quot;</span>;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::string RAND = <span class="stringliteral">&quot;rand&quot;</span>;</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    }Orders;</div>
+<div class="foldopen" id="foldopen00027" data-start="{" data-end="};">
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost.html">   27</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">~Boost</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::vector&lt;int&gt; featureSelection(torch::Tensor&amp; weights_);</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        std::tuple&lt;torch::Tensor&amp;, double, bool&gt; update_weights(torch::Tensor&amp; ytrain, torch::Tensor&amp; ypred, torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        std::tuple&lt;torch::Tensor&amp;, double, bool&gt; update_weights_block(<span class="keywordtype">int</span> k, torch::Tensor&amp; ytrain, torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        torch::Tensor X_train, y_train, X_test, y_test;</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        <span class="comment">// Hyperparameters</span></div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keywordtype">bool</span> bisection = <span class="keyword">true</span>; <span class="comment">// if true, use bisection stratety to add k models at once to the ensemble</span></div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="keywordtype">int</span> maxTolerance = 3;</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        std::string order_algorithm; <span class="comment">// order to process the KBest features asc, desc, rand</span></div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keywordtype">bool</span> convergence = <span class="keyword">true</span>; <span class="comment">//if true, stop when the model does not improve</span></div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">bool</span> convergence_best = <span class="keyword">false</span>; <span class="comment">// wether to keep the best accuracy to the moment or the last accuracy as prior accuracy</span></div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="keywordtype">bool</span> selectFeatures = <span class="keyword">false</span>; <span class="comment">// if true, use feature selection</span></div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        std::string select_features_algorithm = Orders.DESC; <span class="comment">// Selected feature selection algorithm</span></div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        FeatureSelect* featureSelector = <span class="keyword">nullptr</span>;</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordtype">double</span> threshold = -1;</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="keywordtype">bool</span> block_update = <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span> </div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    };</div>
+</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>}</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="#l00027">Boost.h:27</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Boost.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_boost_a2_d_e_8cc_source.html b/docs/manual/_boost_a2_d_e_8cc_source.html
new file mode 100644
index 0000000..70825be
--- /dev/null
+++ b/docs/manual/_boost_a2_d_e_8cc_source.html
@@ -0,0 +1,281 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostA2DE.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_boost_a2_d_e_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">BoostA2DE.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;set&gt;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;functional&gt;</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;limits.h&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;tuple&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;folding.hpp&gt;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/CFS.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/FCBF.h&quot;</span></div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/IWSS.h&quot;</span></div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="preprocessor">#include &quot;BoostA2DE.h&quot;</span></div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span> </div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span> </div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    BoostA2DE::BoostA2DE(<span class="keywordtype">bool</span> predict_voting) : Boost(predict_voting)</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    {</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    }</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    std::vector&lt;int&gt; BoostA2DE::initializeModels()</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    {</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::vector&lt;int&gt; featuresSelected = featureSelection(weights_);</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordflow">if</span> (featuresSelected.size() &lt; 2) {</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            notes.push_back(<span class="stringliteral">&quot;No features selected in initialization&quot;</span>);</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            status = ERROR;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>            <span class="keywordflow">return</span> std::vector&lt;int&gt;();</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        }</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; featuresSelected.size() - 1; i++) {</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = i + 1; j &lt; featuresSelected.size(); j++) {</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>                <span class="keyword">auto</span> parents = { featuresSelected[i], featuresSelected[j] };</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>                std::unique_ptr&lt;Classifier&gt; model = std::make_unique&lt;SPnDE&gt;(parents);</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>                model-&gt;fit(dataset, features, className, states, weights_);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>                models.push_back(std::move(model));</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>                significanceModels.push_back(1.0); <span class="comment">// They will be updated later in trainModel</span></div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>                n_models++;</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            }</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        }</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        notes.push_back(<span class="stringliteral">&quot;Used features in initialization: &quot;</span> + std::to_string(featuresSelected.size()) + <span class="stringliteral">&quot; of &quot;</span> + std::to_string(features.size()) + <span class="stringliteral">&quot; with &quot;</span> + select_features_algorithm);</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keywordflow">return</span> featuresSelected;</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    }</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    <span class="keywordtype">void</span> BoostA2DE::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    {</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="comment">// Logging setup</span></div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="comment">// loguru::set_thread_name(&quot;BoostA2DE&quot;);</span></div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="comment">// loguru::g_stderr_verbosity = loguru::Verbosity_OFF;</span></div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        <span class="comment">// loguru::add_file(&quot;boostA2DE.log&quot;, loguru::Truncate, loguru::Verbosity_MAX);</span></div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span> </div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="comment">// Algorithm based on the adaboost algorithm for classification</span></div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="comment">// as explained in Ensemble methods (Zhi-Hua Zhou, 2012)</span></div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        fitted = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        <span class="keywordtype">double</span> alpha_t = 0;</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="keywordtype">bool</span> finished = <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        std::vector&lt;int&gt; featuresUsed;</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="keywordflow">if</span> (selectFeatures) {</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            featuresUsed = initializeModels();</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            <span class="keyword">auto</span> ypred = predict(X_train);</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>            <span class="comment">// Update significance of the models</span></div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>                significanceModels[i] = alpha_t;</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>            }</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>            <span class="keywordflow">if</span> (finished) {</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>                <span class="keywordflow">return</span>;</div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>            }</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        }</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordtype">int</span> numItemsPack = 0; <span class="comment">// The counter of the models inserted in the current pack</span></div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="comment">// Variables to control the accuracy finish condition</span></div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        <span class="keywordtype">double</span> priorAccuracy = 0.0;</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        <span class="keywordtype">double</span> improvement = 1.0;</div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keywordtype">double</span> convergence_threshold = 1e-4;</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordtype">int</span> tolerance = 0; <span class="comment">// number of times the accuracy is lower than the convergence_threshold</span></div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        <span class="comment">// Step 0: Set the finish condition</span></div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="comment">// epsilon sub t &gt; 0.5 =&gt; inverse the weights policy</span></div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="comment">// validation error is not decreasing</span></div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="comment">// run out of features</span></div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keywordtype">bool</span> ascending = order_algorithm == Orders.ASC;</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        std::mt19937 g{ 173 };</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        std::vector&lt;std::pair&lt;int, int&gt;&gt; pairSelection;</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">while</span> (!finished) {</div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            <span class="comment">// Step 1: Build ranking with mutual information</span></div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            pairSelection = metrics.SelectKPairs(weights_, featuresUsed, ascending, 0); <span class="comment">// Get all the pairs sorted</span></div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keywordflow">if</span> (order_algorithm == Orders.RAND) {</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                std::shuffle(pairSelection.begin(), pairSelection.end(), g);</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            }</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            <span class="keywordtype">int</span> k = bisection ? pow(2, tolerance) : 1;</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>            <span class="keywordtype">int</span> counter = 0; <span class="comment">// The model counter of the current pack</span></div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;counter=%d k=%d featureSelection.size: %zu&quot;, counter, k, featureSelection.size());</span></div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            <span class="keywordflow">while</span> (counter++ &lt; k &amp;&amp; pairSelection.size() &gt; 0) {</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                <span class="keyword">auto</span> feature_pair = pairSelection[0];</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>                pairSelection.erase(pairSelection.begin());</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>                std::unique_ptr&lt;Classifier&gt; model;</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>                model = std::make_unique&lt;SPnDE&gt;(std::vector&lt;int&gt;({ feature_pair.first, feature_pair.second }));</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>                model-&gt;fit(dataset, features, className, states, weights_);</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>                alpha_t = 0.0;</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>                <span class="keywordflow">if</span> (!block_update) {</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>                    <span class="keyword">auto</span> ypred = model-&gt;predict(X_train);</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>                    <span class="comment">// Step 3.1: Compute the classifier amout of say</span></div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>                    std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>                }</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>                <span class="comment">// Step 3.4: Store classifier and its accuracy to weigh its future vote</span></div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>                numItemsPack++;</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>                models.push_back(std::move(model));</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>                significanceModels.push_back(alpha_t);</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>                n_models++;</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                <span class="comment">// VLOG_SCOPE_F(2, &quot;numItemsPack: %d n_models: %d featuresUsed: %zu&quot;, numItemsPack, n_models, featuresUsed.size());</span></div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            }</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            <span class="keywordflow">if</span> (block_update) {</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>            }</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>            <span class="keywordflow">if</span> (convergence &amp;&amp; !finished) {</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                <span class="keyword">auto</span> y_val_predict = predict(X_test);</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                <span class="keywordtype">double</span> accuracy = (y_val_predict == y_test).sum().item&lt;<span class="keywordtype">double</span>&gt;() / (<span class="keywordtype">double</span>)y_test.size(0);</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                <span class="keywordflow">if</span> (priorAccuracy == 0) {</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                    priorAccuracy = accuracy;</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>                    improvement = accuracy - priorAccuracy;</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>                }</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>                <span class="keywordflow">if</span> (improvement &lt; convergence_threshold) {</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;  (improvement&lt;threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>                    tolerance++;</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;* (improvement&gt;=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>                    tolerance = 0; <span class="comment">// Reset the counter if the model performs better</span></div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>                    numItemsPack = 0;</div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                }</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>                <span class="keywordflow">if</span> (convergence_best) {</div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>                    <span class="comment">// Keep the best accuracy until now as the prior accuracy</span></div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>                    priorAccuracy = std::max(accuracy, priorAccuracy);</div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>                    <span class="comment">// Keep the last accuray obtained as the prior accuracy</span></div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>                    priorAccuracy = accuracy;</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>                }</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>            }</div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;tolerance: %d featuresUsed.size: %zu features.size: %zu&quot;, tolerance, featuresUsed.size(), features.size());</span></div>
+<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>            finished = finished || tolerance &gt; maxTolerance || pairSelection.size() == 0;</div>
+<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        }</div>
+<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        <span class="keywordflow">if</span> (tolerance &gt; maxTolerance) {</div>
+<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="keywordflow">if</span> (numItemsPack &lt; n_models) {</div>
+<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; &quot;</span> + std::to_string(numItemsPack) + <span class="stringliteral">&quot; models eliminated&quot;</span>);</div>
+<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; %d models eliminated of %d&quot;, numItemsPack, n_models);</span></div>
+<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; numItemsPack; ++i) {</div>
+<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>                    significanceModels.pop_back();</div>
+<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>                    models.pop_back();</div>
+<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>                    n_models--;</div>
+<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>                }</div>
+<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>            } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; 0 models eliminated&quot;</span>);</div>
+<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; 0 models eliminated n_models=%d numItemsPack=%d&quot;, n_models, numItemsPack);</span></div>
+<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>            }</div>
+<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        }</div>
+<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <span class="keywordflow">if</span> (pairSelection.size() &gt; 0) {</div>
+<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>            notes.push_back(<span class="stringliteral">&quot;Pairs not used in train: &quot;</span> + std::to_string(pairSelection.size()));</div>
+<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>            status = WARNING;</div>
+<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        }</div>
+<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        notes.push_back(<span class="stringliteral">&quot;Number of models: &quot;</span> + std::to_string(n_models));</div>
+<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    }</div>
+<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    std::vector&lt;std::string&gt; BoostA2DE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
+<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>    }</div>
+<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostA2DE.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_boost_a2_d_e_8h_source.html b/docs/manual/_boost_a2_d_e_8h_source.html
new file mode 100644
index 0000000..cf8b626
--- /dev/null
+++ b/docs/manual/_boost_a2_d_e_8h_source.html
@@ -0,0 +1,143 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostA2DE.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_boost_a2_d_e_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">BoostA2DE.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef BOOSTA2DE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define BOOSTA2DE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPnDE.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;Boost.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00014" data-start="{" data-end="};">
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost_a2_d_e.html">   14</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a2_d_e.html">~BoostA2DE</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;BoostA2DE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::vector&lt;int&gt; initializeModels();</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    };</div>
+</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>}</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_boost_a2_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00014">BoostA2DE.h:14</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="_boost_8h_source.html#l00027">Boost.h:27</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostA2DE.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_boost_a_o_d_e_8cc_source.html b/docs/manual/_boost_a_o_d_e_8cc_source.html
new file mode 100644
index 0000000..c22d8e9
--- /dev/null
+++ b/docs/manual/_boost_a_o_d_e_8cc_source.html
@@ -0,0 +1,275 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostAODE.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_boost_a_o_d_e_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">BoostAODE.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;random&gt;</span> </div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;set&gt;</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;functional&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;limits.h&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;tuple&gt;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;BoostAODE.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span> </div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    BoostAODE::BoostAODE(<span class="keywordtype">bool</span> predict_voting) : Boost(predict_voting)</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    {</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    }</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    std::vector&lt;int&gt; BoostAODE::initializeModels()</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    {</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::vector&lt;int&gt; featuresSelected = featureSelection(weights_);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keywordtype">int</span>&amp; feature : featuresSelected) {</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            std::unique_ptr&lt;Classifier&gt; model = std::make_unique&lt;SPODE&gt;(feature);</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>            model-&gt;fit(dataset, features, className, states, weights_);</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            models.push_back(std::move(model));</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            significanceModels.push_back(1.0); <span class="comment">// They will be updated later in trainModel</span></div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            n_models++;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        }</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        notes.push_back(<span class="stringliteral">&quot;Used features in initialization: &quot;</span> + std::to_string(featuresSelected.size()) + <span class="stringliteral">&quot; of &quot;</span> + std::to_string(features.size()) + <span class="stringliteral">&quot; with &quot;</span> + select_features_algorithm);</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">return</span> featuresSelected;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    }</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    <span class="keywordtype">void</span> BoostAODE::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    {</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="comment">// Logging setup</span></div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="comment">//</span></div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        <span class="comment">// loguru::set_thread_name(&quot;BoostAODE&quot;);</span></div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="comment">// loguru::g_stderr_verbosity = loguru::Verbosity_OFF;</span></div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="comment">// loguru::add_file(&quot;boostAODE.log&quot;, loguru::Truncate, loguru::Verbosity_MAX);</span></div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span> </div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="comment">// Algorithm based on the adaboost algorithm for classification</span></div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="comment">// as explained in Ensemble methods (Zhi-Hua Zhou, 2012)</span></div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        fitted = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordtype">double</span> alpha_t = 0;</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordtype">bool</span> finished = <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::vector&lt;int&gt; featuresUsed;</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordflow">if</span> (selectFeatures) {</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>            featuresUsed = initializeModels();</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>            <span class="keyword">auto</span> ypred = predict(X_train);</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>            std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            <span class="comment">// Update significance of the models</span></div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>                significanceModels[i] = alpha_t;</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            }</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            <span class="keywordflow">if</span> (finished) {</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>                <span class="keywordflow">return</span>;</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>            }</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        }</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordtype">int</span> numItemsPack = 0; <span class="comment">// The counter of the models inserted in the current pack</span></div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        <span class="comment">// Variables to control the accuracy finish condition</span></div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="keywordtype">double</span> priorAccuracy = 0.0;</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="keywordtype">double</span> improvement = 1.0;</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordtype">double</span> convergence_threshold = 1e-4;</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="keywordtype">int</span> tolerance = 0; <span class="comment">// number of times the accuracy is lower than the convergence_threshold</span></div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>        <span class="comment">// Step 0: Set the finish condition</span></div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        <span class="comment">// epsilon sub t &gt; 0.5 =&gt; inverse the weights policy</span></div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="comment">// validation error is not decreasing</span></div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        <span class="comment">// run out of features</span></div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <span class="keywordtype">bool</span> ascending = order_algorithm == Orders.ASC;</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        std::mt19937 g{ 173 };</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="keywordflow">while</span> (!finished) {</div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>            <span class="comment">// Step 1: Build ranking with mutual information</span></div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>            <span class="keyword">auto</span> featureSelection = metrics.SelectKBestWeighted(weights_, ascending, n); <span class="comment">// Get all the features sorted</span></div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>            <span class="keywordflow">if</span> (order_algorithm == Orders.RAND) {</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>                std::shuffle(featureSelection.begin(), featureSelection.end(), g);</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>            }</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>            <span class="comment">// Remove used features</span></div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>            featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&amp;](<span class="keyword">auto</span> x)</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>                { <span class="keywordflow">return</span> std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>                end(featureSelection)</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>            );</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            <span class="keywordtype">int</span> k = bisection ? pow(2, tolerance) : 1;</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="keywordtype">int</span> counter = 0; <span class="comment">// The model counter of the current pack</span></div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;counter=%d k=%d featureSelection.size: %zu&quot;, counter, k, featureSelection.size());</span></div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keywordflow">while</span> (counter++ &lt; k &amp;&amp; featureSelection.size() &gt; 0) {</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                <span class="keyword">auto</span> feature = featureSelection[0];</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                featureSelection.erase(featureSelection.begin());</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>                std::unique_ptr&lt;Classifier&gt; model;</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>                model = std::make_unique&lt;SPODE&gt;(feature);</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                model-&gt;fit(dataset, features, className, states, weights_);</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>                alpha_t = 0.0;</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>                <span class="keywordflow">if</span> (!block_update) {</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                    <span class="keyword">auto</span> ypred = model-&gt;predict(X_train);</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>                    <span class="comment">// Step 3.1: Compute the classifier amout of say</span></div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>                    std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>                }</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>                <span class="comment">// Step 3.4: Store classifier and its accuracy to weigh its future vote</span></div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>                numItemsPack++;</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>                featuresUsed.push_back(feature);</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>                models.push_back(std::move(model));</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>                significanceModels.push_back(alpha_t);</div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>                n_models++;</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>                <span class="comment">// VLOG_SCOPE_F(2, &quot;numItemsPack: %d n_models: %d featuresUsed: %zu&quot;, numItemsPack, n_models, featuresUsed.size());</span></div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>            }</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>            <span class="keywordflow">if</span> (block_update) {</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>                std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            }</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="keywordflow">if</span> (convergence &amp;&amp; !finished) {</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                <span class="keyword">auto</span> y_val_predict = predict(X_test);</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                <span class="keywordtype">double</span> accuracy = (y_val_predict == y_test).sum().item&lt;<span class="keywordtype">double</span>&gt;() / (<span class="keywordtype">double</span>)y_test.size(0);</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>                <span class="keywordflow">if</span> (priorAccuracy == 0) {</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                    priorAccuracy = accuracy;</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                    improvement = accuracy - priorAccuracy;</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                }</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                <span class="keywordflow">if</span> (improvement &lt; convergence_threshold) {</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;  (improvement&lt;threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                    tolerance++;</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;* (improvement&gt;=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>                    tolerance = 0; <span class="comment">// Reset the counter if the model performs better</span></div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>                    numItemsPack = 0;</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>                }</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>                <span class="keywordflow">if</span> (convergence_best) {</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>                    <span class="comment">// Keep the best accuracy until now as the prior accuracy</span></div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>                    priorAccuracy = std::max(accuracy, priorAccuracy);</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>                } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>                    <span class="comment">// Keep the last accuray obtained as the prior accuracy</span></div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                    priorAccuracy = accuracy;</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>                }</div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>            }</div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;tolerance: %d featuresUsed.size: %zu features.size: %zu&quot;, tolerance, featuresUsed.size(), features.size());</span></div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>            finished = finished || tolerance &gt; maxTolerance || featuresUsed.size() == features.size();</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        }</div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">if</span> (tolerance &gt; maxTolerance) {</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            <span class="keywordflow">if</span> (numItemsPack &lt; n_models) {</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; &quot;</span> + std::to_string(numItemsPack) + <span class="stringliteral">&quot; models eliminated&quot;</span>);</div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; %d models eliminated of %d&quot;, numItemsPack, n_models);</span></div>
+<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; numItemsPack; ++i) {</div>
+<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>                    significanceModels.pop_back();</div>
+<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>                    models.pop_back();</div>
+<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>                    n_models--;</div>
+<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                }</div>
+<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            } <span class="keywordflow">else</span> {</div>
+<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; 0 models eliminated&quot;</span>);</div>
+<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; 0 models eliminated n_models=%d numItemsPack=%d&quot;, n_models, numItemsPack);</span></div>
+<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>            }</div>
+<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        }</div>
+<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <span class="keywordflow">if</span> (featuresUsed.size() != features.size()) {</div>
+<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>            notes.push_back(<span class="stringliteral">&quot;Used features in train: &quot;</span> + std::to_string(featuresUsed.size()) + <span class="stringliteral">&quot; of &quot;</span> + std::to_string(features.size()));</div>
+<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>            status = WARNING;</div>
+<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        }</div>
+<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        notes.push_back(<span class="stringliteral">&quot;Number of models: &quot;</span> + std::to_string(n_models));</div>
+<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    }</div>
+<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    std::vector&lt;std::string&gt; BoostAODE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
+<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>    }</div>
+<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostAODE.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_boost_a_o_d_e_8h_source.html b/docs/manual/_boost_a_o_d_e_8h_source.html
new file mode 100644
index 0000000..7b04ec2
--- /dev/null
+++ b/docs/manual/_boost_a_o_d_e_8h_source.html
@@ -0,0 +1,144 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostAODE.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_boost_a_o_d_e_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">BoostAODE.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef BOOSTAODE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define BOOSTAODE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPODE.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;Boost.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost_a_o_d_e.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> {</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a_o_d_e.html">~BoostAODE</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;BoostAODE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::vector&lt;int&gt; initializeModels();</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    };</div>
+</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>}</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_boost_a_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">BoostAODE.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="_boost_8h_source.html#l00027">Boost.h:27</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostAODE.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_classifier_8cc_source.html b/docs/manual/_classifier_8cc_source.html
new file mode 100644
index 0000000..7d8cd8c
--- /dev/null
+++ b/docs/manual/_classifier_8cc_source.html
@@ -0,0 +1,308 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Classifier.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_classifier_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Classifier.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;sstream&gt;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    Classifier::Classifier(Network model) : model(model), m(0), n(0), metrics(Metrics()), fitted(false) {}</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">const</span> std::string CLASSIFIER_NOT_FITTED = <span class="stringliteral">&quot;Classifier has not been fitted&quot;</span>;</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    Classifier&amp; Classifier::build(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    {</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        this-&gt;features = features;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        this-&gt;className = className;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        this-&gt;states = states;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        m = dataset.size(1);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        n = features.size();</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        checkFitParameters();</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keyword">auto</span> n_classes = states.at(className).size();</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        metrics = Metrics(dataset, features, className, n_classes);</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        model.initialize();</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        buildModel(weights);</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        trainModel(weights);</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        fitted = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    }</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    <span class="keywordtype">void</span> Classifier::buildDataset(torch::Tensor&amp; ytmp)</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    {</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="keywordflow">try</span> {</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>            <span class="keyword">auto</span> yresized = torch::transpose(ytmp.view({ ytmp.size(0), 1 }), 0, 1);</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>            dataset = torch::cat({ dataset, yresized }, 0);</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        }</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception&amp; e) {</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>            std::stringstream oss;</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            oss &lt;&lt; <span class="stringliteral">&quot;* Error in X and y dimensions *\n&quot;</span>;</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            oss &lt;&lt; <span class="stringliteral">&quot;X dimensions: &quot;</span> &lt;&lt; dataset.sizes() &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>            oss &lt;&lt; <span class="stringliteral">&quot;y dimensions: &quot;</span> &lt;&lt; ytmp.sizes();</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>            <span class="keywordflow">throw</span> std::runtime_error(oss.str());</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        }</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    }</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    <span class="keywordtype">void</span> Classifier::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    {</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        model.fit(dataset, weights, features, className, states);</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    }</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>    <span class="comment">// X is nxm where n is the number of features and m the number of samples</span></div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>    Classifier&amp; Classifier::fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    {</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        dataset = X;</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        buildDataset(y);</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keyword">const</span> torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    }</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    <span class="comment">// X is nxm where n is the number of features and m the number of samples</span></div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>    Classifier&amp; Classifier::fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    {</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        dataset = torch::zeros({ <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(X.size()), <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(X[0].size()) }, torch::kInt32);</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; X.size(); ++i) {</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            dataset.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(X[i], torch::kInt32));</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        }</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="keyword">auto</span> ytmp = torch::tensor(y, torch::kInt32);</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        buildDataset(ytmp);</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keyword">const</span> torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    }</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    {</div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        this-&gt;dataset = dataset;</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <span class="keyword">const</span> torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    {</div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        this-&gt;dataset = dataset;</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keywordtype">void</span> Classifier::checkFitParameters()</div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordflow">if</span> (torch::is_floating_point(dataset)) {</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;dataset (X, y) must be of type Integer&quot;</span>);</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        }</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordflow">if</span> (dataset.size(0) - 1 != features.size()) {</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Classifier: X &quot;</span> + std::to_string(dataset.size(0) - 1) + <span class="stringliteral">&quot; and features &quot;</span> + std::to_string(features.size()) + <span class="stringliteral">&quot; must have the same number of features&quot;</span>);</div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        }</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        <span class="keywordflow">if</span> (states.find(className) == states.end()) {</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;class name not found in states&quot;</span>);</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>        }</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : features) {</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            <span class="keywordflow">if</span> (states.find(feature) == states.end()) {</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;feature [&quot;</span> + feature + <span class="stringliteral">&quot;] not found in states&quot;</span>);</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            }</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        }</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    }</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    torch::Tensor Classifier::predict(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    {</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        }</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        <span class="keywordflow">return</span> model.predict(X);</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    }</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    std::vector&lt;int&gt; Classifier::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    {</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        }</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keyword">auto</span> m_ = X[0].size();</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        <span class="keyword">auto</span> n_ = X.size();</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>        std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_; i++) {</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            Xd[i] = std::vector&lt;int&gt;(X[i].begin(), X[i].end());</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        }</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>        <span class="keyword">auto</span> yp = model.predict(Xd);</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>        <span class="keywordflow">return</span> yp;</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>    }</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    torch::Tensor Classifier::predict_proba(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>    {</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        }</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keywordflow">return</span> model.predict_proba(X);</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    }</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Classifier::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    {</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        }</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keyword">auto</span> m_ = X[0].size();</div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keyword">auto</span> n_ = X.size();</div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        <span class="comment">// Convert to nxm vector</span></div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_; i++) {</div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            Xd[i] = std::vector&lt;int&gt;(X[i].begin(), X[i].end());</div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        }</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        <span class="keyword">auto</span> yp = model.predict_proba(Xd);</div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">return</span> yp;</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    <span class="keywordtype">float</span> Classifier::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    {</div>
+<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>        torch::Tensor y_pred = predict(X);</div>
+<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        <span class="keywordflow">return</span> (y_pred == y).sum().item&lt;<span class="keywordtype">float</span>&gt;() / y.size(0);</div>
+<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>    }</div>
+<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    <span class="keywordtype">float</span> Classifier::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</div>
+<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>    {</div>
+<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
+<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        }</div>
+<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        <span class="keywordflow">return</span> model.score(X, y);</div>
+<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    }</div>
+<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    std::vector&lt;std::string&gt; Classifier::show()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <span class="keywordflow">return</span> model.show();</div>
+<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>    }</div>
+<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>    <span class="keywordtype">void</span> Classifier::addNodes()</div>
+<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    {</div>
+<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <span class="comment">// Add all nodes to the network</span></div>
+<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; feature : features) {</div>
+<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>            model.addNode(feature);</div>
+<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        }</div>
+<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        model.addNode(className);</div>
+<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    }</div>
+<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    <span class="keywordtype">int</span> Classifier::getNumberOfNodes()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <span class="comment">// Features does not include class</span></div>
+<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <span class="keywordflow">return</span> fitted ? model.getFeatures().size() : 0;</div>
+<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    }</div>
+<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    <span class="keywordtype">int</span> Classifier::getNumberOfEdges()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>        <span class="keywordflow">return</span> fitted ? model.getNumEdges() : 0;</div>
+<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>    }</div>
+<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>    <span class="keywordtype">int</span> Classifier::getNumberOfStates()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        <span class="keywordflow">return</span> fitted ? model.getStates() : 0;</div>
+<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    }</div>
+<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>    <span class="keywordtype">int</span> Classifier::getClassNumStates()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>        <span class="keywordflow">return</span> fitted ? model.getClassNumStates() : 0;</div>
+<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>    }</div>
+<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>    std::vector&lt;std::string&gt; Classifier::topological_order()</div>
+<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>    {</div>
+<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="keywordflow">return</span> model.topological_sort();</div>
+<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    }</div>
+<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>    std::string Classifier::dump_cpt()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        <span class="keywordflow">return</span> model.dump_cpt();</div>
+<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>    }</div>
+<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>    <span class="keywordtype">void</span> Classifier::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters)</div>
+<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    {</div>
+<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>        <span class="keywordflow">if</span> (!hyperparameters.empty()) {</div>
+<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid hyperparameters&quot;</span> + hyperparameters.dump());</div>
+<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        }</div>
+<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>    }</div>
+<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Classifier.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_classifier_8h_source.html b/docs/manual/_classifier_8h_source.html
new file mode 100644
index 0000000..5b39713
--- /dev/null
+++ b/docs/manual/_classifier_8h_source.html
@@ -0,0 +1,184 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Classifier.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_classifier_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Classifier.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef CLASSIFIER_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define CLASSIFIER_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/utils/BayesMetrics.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/network/Network.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;bayesnet/BaseClassifier.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_classifier.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> {</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>(<a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a> model);</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">~Classifier</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">void</span> addNodes();</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordtype">int</span> getNumberOfNodes() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordtype">int</span> getNumberOfEdges() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">int</span> getNumberOfStates() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getClassNumStates() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        torch::Tensor predict_proba(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        status_t getStatus()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> status; }</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::string getVersion()<span class="keyword"> override </span>{ <span class="keywordflow">return</span> { project_version.begin(), project_version.end() }; };</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordtype">float</span> score(torch::Tensor&amp; X, torch::Tensor&amp; y) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordtype">float</span> score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        std::vector&lt;std::string&gt; show() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        std::vector&lt;std::string&gt; topological_order()  <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::vector&lt;std::string&gt; getNotes()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> notes; }</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        std::string dump_cpt() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) <span class="keyword">override</span>; <span class="comment">//For classifiers that don&#39;t have hyperparameters</span></div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keywordtype">bool</span> fitted;</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m, n; <span class="comment">// m: number of samples, n: number of features</span></div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a> model;</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        Metrics metrics;</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        std::vector&lt;std::string&gt; features;</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        std::string className;</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::map&lt;std::string, std::vector&lt;int&gt;&gt; states;</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        torch::Tensor dataset; <span class="comment">// (n+1)xm tensor</span></div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        status_t status = NORMAL;</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        std::vector&lt;std::string&gt; notes; <span class="comment">// Used to store messages occurred during the fit process</span></div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keywordtype">void</span> checkFitParameters();</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keyword">virtual</span> <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) = 0;</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        <span class="keywordtype">void</span> buildDataset(torch::Tensor&amp; y);</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; build(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    };</div>
+</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>}</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="preprocessor">#endif</span></div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span> </div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span> </div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span> </div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span> </div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span> </div>
+<div class="ttc" id="aclassbayesnet_1_1_base_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></div><div class="ttdef"><b>Definition</b> <a href="_base_classifier_8h_source.html#l00013">BaseClassifier.h:13</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">Classifier.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_network_html"><div class="ttname"><a href="classbayesnet_1_1_network.html">bayesnet::Network</a></div><div class="ttdef"><b>Definition</b> <a href="_network_8h_source.html#l00015">Network.h:15</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Classifier.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_ensemble_8cc_source.html b/docs/manual/_ensemble_8cc_source.html
new file mode 100644
index 0000000..7cffac3
--- /dev/null
+++ b/docs/manual/_ensemble_8cc_source.html
@@ -0,0 +1,336 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Ensemble.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_ensemble_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Ensemble.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    Ensemble::Ensemble(<span class="keywordtype">bool</span> predict_voting) : Classifier(Network()), n_models(0), predict_voting(predict_voting)</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    };</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">const</span> std::string ENSEMBLE_NOT_FITTED = <span class="stringliteral">&quot;Ensemble has not been fitted&quot;</span>;</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keywordtype">void</span> Ensemble::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    {</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        n_models = models.size();</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            <span class="comment">// fit with std::vectors</span></div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            models[i]-&gt;fit(dataset, features, className, states);</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        }</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    }</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    std::vector&lt;int&gt; Ensemble::compute_arg_max(std::vector&lt;std::vector&lt;double&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    {</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        std::vector&lt;int&gt; y_pred;</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; X.size(); ++i) {</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            <span class="keyword">auto</span> max = std::max_element(X[i].begin(), X[i].end());</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>            y_pred.push_back(std::distance(X[i].begin(), max));</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        }</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">return</span> y_pred;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    }</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    torch::Tensor Ensemble::compute_arg_max(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    {</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keyword">auto</span> y_pred = torch::argmax(X, 1);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordflow">return</span> y_pred;</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    }</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    torch::Tensor Ensemble::voting(torch::Tensor&amp; votes)</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    {</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="comment">// Convert m x n_models tensor to a m x n_class_states with voting probabilities</span></div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        <span class="keyword">auto</span> y_pred_ = votes.accessor&lt;int, 2&gt;();</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        std::vector&lt;int&gt; y_pred_final;</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">int</span> numClasses = states.at(className).size();</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="comment">// votes is m x n_models with the prediction of every model for each sample</span></div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keyword">auto</span> result = torch::zeros({ votes.size(0), numClasses }, torch::kFloat32);</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        <span class="keyword">auto</span> sum = std::reduce(significanceModels.begin(), significanceModels.end());</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; votes.size(0); ++i) {</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>            <span class="comment">// n_votes store in each index (value of class) the significance added by each model</span></div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            <span class="comment">// i.e. n_votes[0] contains how much value has the value 0 of class. That value is generated by the models predictions</span></div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>            std::vector&lt;double&gt; n_votes(numClasses, 0.0);</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n_models; ++j) {</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>                n_votes[y_pred_[i][j]] += significanceModels.at(j);</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            }</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>            result[i] = torch::tensor(n_votes);</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        }</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        <span class="comment">// To only do one division and gain precision</span></div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        result /= sum;</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    }</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>    {</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            <span class="keywordflow">throw</span> std::logic_error(ENSEMBLE_NOT_FITTED);</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        }</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordflow">return</span> predict_voting ? predict_average_voting(X) : predict_average_proba(X);</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    }</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    torch::Tensor Ensemble::predict_proba(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    {</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>            <span class="keywordflow">throw</span> std::logic_error(ENSEMBLE_NOT_FITTED);</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        }</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> predict_voting ? predict_average_voting(X) : predict_average_proba(X);</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    std::vector&lt;int&gt; Ensemble::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    {</div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keyword">auto</span> res = predict_proba(X);</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordflow">return</span> compute_arg_max(res);</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    torch::Tensor Ensemble::predict(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keyword">auto</span> res = predict_proba(X);</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keywordflow">return</span> compute_arg_max(res);</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>    }</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>    torch::Tensor Ensemble::predict_average_proba(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    {</div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <span class="keyword">auto</span> n_states = models[0]-&gt;getClassNumStates();</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        torch::Tensor y_pred = torch::zeros({ X.size(1), n_states }, torch::kFloat32);</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <span class="keyword">auto</span> threads{ std::vector&lt;std::thread&gt;() };</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>        std::mutex mtx;</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            threads.push_back(std::thread([&amp;, i]() {</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                <span class="keyword">auto</span> ypredict = models[i]-&gt;predict_proba(X);</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>                y_pred += ypredict * significanceModels[i];</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                }));</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        }</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            thread.join();</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        }</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <span class="keyword">auto</span> sum = std::reduce(significanceModels.begin(), significanceModels.end());</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        y_pred /= sum;</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keywordflow">return</span> y_pred;</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    }</div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    {</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keyword">auto</span> n_states = models[0]-&gt;getClassNumStates();</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        std::vector&lt;std::vector&lt;double&gt;&gt; y_pred(X[0].size(), std::vector&lt;double&gt;(n_states, 0.0));</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keyword">auto</span> threads{ std::vector&lt;std::thread&gt;() };</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        std::mutex mtx;</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>            threads.push_back(std::thread([&amp;, i]() {</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                <span class="keyword">auto</span> ypredict = models[i]-&gt;predict_proba(X);</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>                assert(ypredict.size() == y_pred.size());</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                assert(ypredict[0].size() == y_pred[0].size());</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                <span class="comment">// Multiply each prediction by the significance of the model and then add it to the final prediction</span></div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                <span class="keywordflow">for</span> (<span class="keyword">auto</span> j = 0; j &lt; ypredict.size(); ++j) {</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                    std::transform(y_pred[j].begin(), y_pred[j].end(), ypredict[j].begin(), y_pred[j].begin(),</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                        [significanceModels = significanceModels[i]](<span class="keywordtype">double</span> x, <span class="keywordtype">double</span> y) { <span class="keywordflow">return</span> x + y * significanceModels; });</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                }</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                }));</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        }</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>            thread.join();</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        }</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keyword">auto</span> sum = std::reduce(significanceModels.begin(), significanceModels.end());</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="comment">//Divide each element of the prediction by the sum of the significances</span></div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> j = 0; j &lt; y_pred.size(); ++j) {</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>            std::transform(y_pred[j].begin(), y_pred[j].end(), y_pred[j].begin(), [sum](<span class="keywordtype">double</span> x) { <span class="keywordflow">return</span> x / sum; });</div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        }</div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordflow">return</span> y_pred;</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>    }</div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_average_voting(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>    {</div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        torch::Tensor Xt = bayesnet::vectorToTensor(X, <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        <span class="keyword">auto</span> y_pred = predict_average_voting(Xt);</div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        std::vector&lt;std::vector&lt;double&gt;&gt; result = tensorToVectorDouble(y_pred);</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    }</div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    torch::Tensor Ensemble::predict_average_voting(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    {</div>
+<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        <span class="comment">// Build a m x n_models tensor with the predictions of each model</span></div>
+<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        torch::Tensor y_pred = torch::zeros({ X.size(1), n_models }, torch::kInt32);</div>
+<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>        <span class="keyword">auto</span> threads{ std::vector&lt;std::thread&gt;() };</div>
+<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        std::mutex mtx;</div>
+<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>            threads.push_back(std::thread([&amp;, i]() {</div>
+<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>                <span class="keyword">auto</span> ypredict = models[i]-&gt;predict(X);</div>
+<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
+<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>                y_pred.index_put_({ <span class="stringliteral">&quot;...&quot;</span>, i }, ypredict);</div>
+<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>                }));</div>
+<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        }</div>
+<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
+<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>            thread.join();</div>
+<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        }</div>
+<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <span class="keywordflow">return</span> voting(y_pred);</div>
+<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    }</div>
+<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>    <span class="keywordtype">float</span> Ensemble::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</div>
+<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    {</div>
+<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        <span class="keyword">auto</span> y_pred = predict(X);</div>
+<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        <span class="keywordtype">int</span> correct = 0;</div>
+<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; y_pred.size(0); ++i) {</div>
+<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>            <span class="keywordflow">if</span> (y_pred[i].item&lt;int&gt;() == y[i].item&lt;int&gt;()) {</div>
+<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>                correct++;</div>
+<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>            }</div>
+<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        }</div>
+<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        <span class="keywordflow">return</span> (<span class="keywordtype">double</span>)correct / y_pred.size(0);</div>
+<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    }</div>
+<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>    <span class="keywordtype">float</span> Ensemble::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</div>
+<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>    {</div>
+<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        <span class="keyword">auto</span> y_pred = predict(X);</div>
+<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        <span class="keywordtype">int</span> correct = 0;</div>
+<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; y_pred.size(); ++i) {</div>
+<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>            <span class="keywordflow">if</span> (y_pred[i] == y[i]) {</div>
+<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>                correct++;</div>
+<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>            }</div>
+<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>        }</div>
+<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>        <span class="keywordflow">return</span> (<span class="keywordtype">double</span>)correct / y_pred.size();</div>
+<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>    }</div>
+<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>    std::vector&lt;std::string&gt; Ensemble::show()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="keyword">auto</span> result = std::vector&lt;std::string&gt;();</div>
+<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>            <span class="keyword">auto</span> res = models[i]-&gt;show();</div>
+<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>            result.insert(result.end(), res.begin(), res.end());</div>
+<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        }</div>
+<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>    }</div>
+<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    std::vector&lt;std::string&gt; Ensemble::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="keyword">auto</span> result = std::vector&lt;std::string&gt;();</div>
+<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>            <span class="keyword">auto</span> res = models[i]-&gt;graph(title + <span class="stringliteral">&quot;_&quot;</span> + std::to_string(i));</div>
+<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>            result.insert(result.end(), res.begin(), res.end());</div>
+<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        }</div>
+<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>    }</div>
+<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    <span class="keywordtype">int</span> Ensemble::getNumberOfNodes()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <span class="keywordtype">int</span> nodes = 0;</div>
+<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>            nodes += models[i]-&gt;getNumberOfNodes();</div>
+<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        }</div>
+<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        <span class="keywordflow">return</span> nodes;</div>
+<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    }</div>
+<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>    <span class="keywordtype">int</span> Ensemble::getNumberOfEdges()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>        <span class="keywordtype">int</span> edges = 0;</div>
+<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>            edges += models[i]-&gt;getNumberOfEdges();</div>
+<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        }</div>
+<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keywordflow">return</span> edges;</div>
+<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>    }</div>
+<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>    <span class="keywordtype">int</span> Ensemble::getNumberOfStates()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>        <span class="keywordtype">int</span> nstates = 0;</div>
+<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
+<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>            nstates += models[i]-&gt;getNumberOfStates();</div>
+<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        }</div>
+<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <span class="keywordflow">return</span> nstates;</div>
+<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>    }</div>
+<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Ensemble.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_ensemble_8h_source.html b/docs/manual/_ensemble_8h_source.html
new file mode 100644
index 0000000..716f7f8
--- /dev/null
+++ b/docs/manual/_ensemble_8h_source.html
@@ -0,0 +1,171 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Ensemble.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_ensemble_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Ensemble.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef ENSEMBLE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define ENSEMBLE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/utils/BayesMetrics.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;bayesnet/classifiers/Classifier.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_ensemble.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">true</span>);</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">~Ensemble</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor predict_proba(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">float</span> score(torch::Tensor&amp; X, torch::Tensor&amp; y) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordtype">float</span> score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordtype">int</span> getNumberOfNodes() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">int</span> getNumberOfEdges() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getNumberOfStates() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        std::vector&lt;std::string&gt; show() <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        std::vector&lt;std::string&gt; topological_order()<span class="keyword">  override</span></div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="keyword">        </span>{</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            <span class="keywordflow">return</span> std::vector&lt;std::string&gt;();</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        }</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        std::string dump_cpt()<span class="keyword"> const override</span></div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="keyword">        </span>{</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>            <span class="keywordflow">return</span> <span class="stringliteral">&quot;&quot;</span>;</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        }</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        torch::Tensor predict_average_voting(torch::Tensor&amp; X);</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_average_voting(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X);</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        torch::Tensor predict_average_proba(torch::Tensor&amp; X);</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_average_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X);</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        torch::Tensor compute_arg_max(torch::Tensor&amp; X);</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        std::vector&lt;int&gt; compute_arg_max(std::vector&lt;std::vector&lt;double&gt;&gt;&amp; X);</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        torch::Tensor voting(torch::Tensor&amp; votes);</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        <span class="keywordtype">unsigned</span> n_models;</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        std::vector&lt;std::unique_ptr&lt;Classifier&gt;&gt; models;</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::vector&lt;double&gt; significanceModels;</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="keywordtype">bool</span> predict_voting;</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    };</div>
+</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>}</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">Ensemble.h:15</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Ensemble.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_k_d_b_8cc_source.html b/docs/manual/_k_d_b_8cc_source.html
new file mode 100644
index 0000000..0bf9c42
--- /dev/null
+++ b/docs/manual/_k_d_b_8cc_source.html
@@ -0,0 +1,225 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDB.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_k_d_b_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">KDB.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;KDB.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    KDB::KDB(<span class="keywordtype">int</span> k, <span class="keywordtype">float</span> theta) : Classifier(Network()), k(k), theta(theta)</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        validHyperparameters = { <span class="stringliteral">&quot;k&quot;</span>, <span class="stringliteral">&quot;theta&quot;</span> };</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    }</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keywordtype">void</span> KDB::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    {</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;k&quot;</span>)) {</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            k = hyperparameters[<span class="stringliteral">&quot;k&quot;</span>];</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            hyperparameters.erase(<span class="stringliteral">&quot;k&quot;</span>);</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        }</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;theta&quot;</span>)) {</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            theta = hyperparameters[<span class="stringliteral">&quot;theta&quot;</span>];</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            hyperparameters.erase(<span class="stringliteral">&quot;theta&quot;</span>);</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        }</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        Classifier::setHyperparameters(hyperparameters);</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    }</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    <span class="keywordtype">void</span> KDB::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    {</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="comment">/*</span></div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment">        1. For each feature Xi, compute mutual information, I(X;C),</span></div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment">        where C is the class.</span></div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">        2. Compute class conditional mutual information I(Xi;XjIC), f or each</span></div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment">        pair of features Xi and Xj, where i#j.</span></div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment">        3. Let the used variable list, S, be empty.</span></div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment">        4. Let the DAG network being constructed, BN, begin with a single</span></div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment">        class node, C.</span></div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment">        5. Repeat until S includes all domain features</span></div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="comment">        5.1. Select feature Xmax which is not in S and has the largest value</span></div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="comment">        I(Xmax;C).</span></div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment">        5.2. Add a node to BN representing Xmax.</span></div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment">        5.3. Add an arc from C to Xmax in BN.</span></div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment">        5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span></div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">        the highest value for I(Xmax;X,jC).</span></div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">        5.5. Add Xmax to S.</span></div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">        Compute the conditional probabilility infered by the structure of BN by</span></div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">        using counts from DB, and output BN.</span></div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">        */</span></div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="comment">// 1. For each feature Xi, compute mutual information, I(X;C),</span></div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="comment">// where C is the class.</span></div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        addNodes();</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keyword">const</span> torch::Tensor&amp; y = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        std::vector&lt;double&gt; mi;</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; features.size(); i++) {</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            torch::Tensor firstFeature = dataset.index({ i, <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            mi.push_back(metrics.mutualInformation(firstFeature, y, weights));</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        }</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="comment">// 2. Compute class conditional mutual information I(Xi;XjIC), f or each</span></div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        <span class="keyword">auto</span> conditionalEdgeWeights = metrics.conditionalEdge(weights);</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="comment">// 3. Let the used variable list, S, be empty.</span></div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        std::vector&lt;int&gt; S;</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        <span class="comment">// 4. Let the DAG network being constructed, BN, begin with a single</span></div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="comment">// class node, C.</span></div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="comment">// 5. Repeat until S includes all domain features</span></div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="comment">// 5.1. Select feature Xmax which is not in S and has the largest value</span></div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="comment">// I(Xmax;C).</span></div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>        <span class="keyword">auto</span> order = argsort(mi);</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> idx : order) {</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>            <span class="comment">// 5.2. Add a node to BN representing Xmax.</span></div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>            <span class="comment">// 5.3. Add an arc from C to Xmax in BN.</span></div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>            model.addEdge(className, features[idx]);</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>            <span class="comment">// 5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span></div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>            <span class="comment">// the highest value for I(Xmax;X,jC).</span></div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>            add_m_edges(idx, S, conditionalEdgeWeights);</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>            <span class="comment">// 5.5. Add Xmax to S.</span></div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>            S.push_back(idx);</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        }</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keywordtype">void</span> KDB::add_m_edges(<span class="keywordtype">int</span> idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keyword">auto</span> n_edges = std::min(k, <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(S.size()));</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keyword">auto</span> cond_w = clone(weights);</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        <span class="keywordtype">bool</span> exit_cond = k == 0;</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordtype">int</span> num = 0;</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">while</span> (!exit_cond) {</div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            <span class="keyword">auto</span> max_minfo = argmax(cond_w.index({ idx, <span class="stringliteral">&quot;...&quot;</span> })).item&lt;<span class="keywordtype">int</span>&gt;();</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keyword">auto</span> belongs = find(S.begin(), S.end(), max_minfo) != S.end();</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keywordflow">if</span> (belongs &amp;&amp; cond_w.index({ idx, max_minfo }).item&lt;<span class="keywordtype">float</span>&gt;() &gt; theta) {</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                <span class="keywordflow">try</span> {</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>                    model.addEdge(features[max_minfo], features[idx]);</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>                    num++;</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                }</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>                <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::invalid_argument&amp; e) {</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>                    <span class="comment">// Loops are not allowed</span></div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                }</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>            }</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>            cond_w.index_put_({ idx, max_minfo }, -1);</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            <span class="keyword">auto</span> candidates_mask = cond_w.index({ idx, <span class="stringliteral">&quot;...&quot;</span> }).gt(theta);</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            <span class="keyword">auto</span> candidates = candidates_mask.nonzero();</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>            exit_cond = num == n_edges || candidates.size(0) == 0;</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        }</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    }</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    std::vector&lt;std::string&gt; KDB::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        std::string header{ title };</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keywordflow">if</span> (title == <span class="stringliteral">&quot;KDB&quot;</span>) {</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>            header += <span class="stringliteral">&quot; (k=&quot;</span> + std::to_string(k) + <span class="stringliteral">&quot;, theta=&quot;</span> + std::to_string(theta) + <span class="stringliteral">&quot;)&quot;</span>;</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        }</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        <span class="keywordflow">return</span> model.graph(header);</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>    }</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDB.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_k_d_b_8h_source.html b/docs/manual/_k_d_b_8h_source.html
new file mode 100644
index 0000000..57a4623
--- /dev/null
+++ b/docs/manual/_k_d_b_8h_source.html
@@ -0,0 +1,145 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDB.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_k_d_b_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">KDB.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef KDB_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define KDB_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_k_d_b.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">KDB</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keywordtype">int</span> k;</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">float</span> theta;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keywordtype">void</span> add_m_edges(<span class="keywordtype">int</span> idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">KDB</a>(<span class="keywordtype">int</span> k, <span class="keywordtype">float</span> theta = 0.03);</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">~KDB</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;KDB&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    };</div>
+</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>}</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_k_d_b_html"><div class="ttname"><a href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">KDB.h:13</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDB.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_k_d_b_ld_8cc_source.html b/docs/manual/_k_d_b_ld_8cc_source.html
new file mode 100644
index 0000000..4ee98ea
--- /dev/null
+++ b/docs/manual/_k_d_b_ld_8cc_source.html
@@ -0,0 +1,149 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDBLd.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_k_d_b_ld_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">KDBLd.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;KDBLd.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    KDBLd::KDBLd(<span class="keywordtype">int</span> k) : KDB(k), Proposal(dataset, features, className) {}</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    KDBLd&amp; KDBLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        checkInput(X_, y_);</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        features = features_;</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        className = className_;</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        Xf = X_;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        y = y_;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        states = fit_local_discretization(y);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="comment">// We have discretized the input data</span></div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="comment">// 1st we need to fit the model to build the normal KDB structure, KDB::fit initializes the base Bayesian network</span></div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        KDB::fit(dataset, features, className, states);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        states = localDiscretizationProposal(states, model);</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    }</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    torch::Tensor KDBLd::predict(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    {</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keyword">auto</span> Xt = prepareX(X);</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordflow">return</span> KDB::predict(Xt);</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    }</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    std::vector&lt;std::string&gt; KDBLd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        <span class="keywordflow">return</span> KDB::graph(name);</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    }</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDBLd.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_k_d_b_ld_8h_source.html b/docs/manual/_k_d_b_ld_8h_source.html
new file mode 100644
index 0000000..3c26e26
--- /dev/null
+++ b/docs/manual/_k_d_b_ld_8h_source.html
@@ -0,0 +1,143 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDBLd.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_k_d_b_ld_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">KDBLd.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef KDBLD_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define KDBLD_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;KDB.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_k_d_b_ld.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">KDB</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a>(<span class="keywordtype">int</span> k);</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">~KDBLd</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;KDB&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">static</span> <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span> <span class="stringliteral">&quot;0.0.1&quot;</span>; };</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    };</div>
+</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>}</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="preprocessor">#endif </span><span class="comment">// !KDBLD_H</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_k_d_b_html"><div class="ttname"><a href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></div><div class="ttdef"><b>Definition</b> <a href="_k_d_b_8h_source.html#l00013">KDB.h:13</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_k_d_b_ld_html"><div class="ttname"><a href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">KDBLd.h:13</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDBLd.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_network_8cc_source.html b/docs/manual/_network_8cc_source.html
new file mode 100644
index 0000000..2f277c8
--- /dev/null
+++ b/docs/manual/_network_8cc_source.html
@@ -0,0 +1,543 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Network.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_network_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Network.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;thread&gt;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;mutex&gt;</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;sstream&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Network.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    Network::Network() : fitted{ false }, maxThreads{ 0.95 }, classNumStates{ 0 }, laplaceSmoothing{ 0 }</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    }</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    Network::Network(<span class="keywordtype">float</span> maxT) : fitted{ false }, maxThreads{ maxT }, classNumStates{ 0 }, laplaceSmoothing{ 0 }</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    {</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span> </div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    }</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    Network::Network(<span class="keyword">const</span> Network&amp; other) : laplaceSmoothing(other.laplaceSmoothing), features(other.features), className(other.className), classNumStates(other.getClassNumStates()),</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        maxThreads(other.getMaxThreads()), fitted(other.fitted), samples(other.samples)</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    {</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordflow">if</span> (samples.defined())</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            samples = samples.clone();</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; node : other.nodes) {</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            nodes[node.first] = std::make_unique&lt;Node&gt;(*node.second);</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        }</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    }</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    <span class="keywordtype">void</span> Network::initialize()</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    {</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        features.clear();</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        className = <span class="stringliteral">&quot;&quot;</span>;</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        classNumStates = 0;</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        fitted = <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        nodes.clear();</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        samples = torch::Tensor();</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    }</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    <span class="keywordtype">float</span> Network::getMaxThreads()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="keywordflow">return</span> maxThreads;</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    }</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    torch::Tensor&amp; Network::getSamples()</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    {</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="keywordflow">return</span> samples;</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    }</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    <span class="keywordtype">void</span> Network::addNode(<span class="keyword">const</span> std::string&amp; name)</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    {</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="keywordflow">if</span> (name == <span class="stringliteral">&quot;&quot;</span>) {</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Node name cannot be empty&quot;</span>);</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        }</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        <span class="keywordflow">if</span> (nodes.find(name) != nodes.end()) {</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>            <span class="keywordflow">return</span>;</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        }</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordflow">if</span> (find(features.begin(), features.end(), name) == features.end()) {</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            features.push_back(name);</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        }</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        nodes[name] = std::make_unique&lt;Node&gt;(name);</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    }</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    std::vector&lt;std::string&gt; Network::getFeatures()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordflow">return</span> features;</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    }</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    <span class="keywordtype">int</span> Network::getClassNumStates()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordflow">return</span> classNumStates;</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    }</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    <span class="keywordtype">int</span> Network::getStates()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="keywordtype">int</span> result = 0;</div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>            result += node.second-&gt;getNumStates();</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        }</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    }</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    std::string Network::getClassName()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordflow">return</span> className;</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keywordtype">bool</span> Network::isCyclic(<span class="keyword">const</span> std::string&amp; nodeId, std::unordered_set&lt;std::string&gt;&amp; visited, std::unordered_set&lt;std::string&gt;&amp; recStack)</div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordflow">if</span> (visited.find(nodeId) == visited.end()) <span class="comment">// if node hasn&#39;t been visited yet</span></div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        {</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>            visited.insert(nodeId);</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            recStack.insert(nodeId);</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="keywordflow">for</span> (Node* child : nodes[nodeId]-&gt;getChildren()) {</div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>                <span class="keywordflow">if</span> (visited.find(child-&gt;getName()) == visited.end() &amp;&amp; isCyclic(child-&gt;getName(), visited, recStack))</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>                    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                <span class="keywordflow">if</span> (recStack.find(child-&gt;getName()) != recStack.end())</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            }</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        }</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>        recStack.erase(nodeId); <span class="comment">// remove node from recursion stack before function ends</span></div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    }</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    <span class="keywordtype">void</span> Network::addEdge(<span class="keyword">const</span> std::string&amp; parent, <span class="keyword">const</span> std::string&amp; child)</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    {</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordflow">if</span> (nodes.find(parent) == nodes.end()) {</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Parent node &quot;</span> + parent + <span class="stringliteral">&quot; does not exist&quot;</span>);</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        }</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <span class="keywordflow">if</span> (nodes.find(child) == nodes.end()) {</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Child node &quot;</span> + child + <span class="stringliteral">&quot; does not exist&quot;</span>);</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        }</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <span class="comment">// Temporarily add edge to check for cycles</span></div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        nodes[parent]-&gt;addChild(nodes[child].get());</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        nodes[child]-&gt;addParent(nodes[parent].get());</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        std::unordered_set&lt;std::string&gt; visited;</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        std::unordered_set&lt;std::string&gt; recStack;</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keywordflow">if</span> (isCyclic(nodes[child]-&gt;getName(), visited, recStack)) <span class="comment">// if adding this edge forms a cycle</span></div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        {</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="comment">// remove problematic edge</span></div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>            nodes[parent]-&gt;removeChild(nodes[child].get());</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            nodes[child]-&gt;removeParent(nodes[parent].get());</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Adding this edge forms a cycle in the graph.&quot;</span>);</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>        }</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    }</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>    std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt;&amp; Network::getNodes()</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    {</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        <span class="keywordflow">return</span> nodes;</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>    }</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>    <span class="keywordtype">void</span> Network::checkFitData(<span class="keywordtype">int</span> n_samples, <span class="keywordtype">int</span> n_features, <span class="keywordtype">int</span> n_samples_y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>    {</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keywordflow">if</span> (weights.size(0) != n_samples) {</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Weights (&quot;</span> + std::to_string(weights.size(0)) + <span class="stringliteral">&quot;) must have the same number of elements as samples (&quot;</span> + std::to_string(n_samples) + <span class="stringliteral">&quot;) in Network::fit&quot;</span>);</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>        }</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        <span class="keywordflow">if</span> (n_samples != n_samples_y) {</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X and y must have the same number of samples in Network::fit (&quot;</span> + std::to_string(n_samples) + <span class="stringliteral">&quot; != &quot;</span> + std::to_string(n_samples_y) + <span class="stringliteral">&quot;)&quot;</span>);</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        }</div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <span class="keywordflow">if</span> (n_features != featureNames.size()) {</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X and features must have the same number of features in Network::fit (&quot;</span> + std::to_string(n_features) + <span class="stringliteral">&quot; != &quot;</span> + std::to_string(featureNames.size()) + <span class="stringliteral">&quot;)&quot;</span>);</div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        }</div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordflow">if</span> (features.size() == 0) {</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;The network has not been initialized. You must call addNode() before calling fit()&quot;</span>);</div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        }</div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="keywordflow">if</span> (n_features != features.size() - 1) {</div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X and local features must have the same number of features in Network::fit (&quot;</span> + std::to_string(n_features) + <span class="stringliteral">&quot; != &quot;</span> + std::to_string(features.size() - 1) + <span class="stringliteral">&quot;)&quot;</span>);</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        }</div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">if</span> (find(features.begin(), features.end(), className) == features.end()) {</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Class Name not found in Network::features&quot;</span>);</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>        }</div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; feature : featureNames) {</div>
+<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>            <span class="keywordflow">if</span> (find(features.begin(), features.end(), feature) == features.end()) {</div>
+<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Feature &quot;</span> + feature + <span class="stringliteral">&quot; not found in Network::features&quot;</span>);</div>
+<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>            }</div>
+<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="keywordflow">if</span> (states.find(feature) == states.end()) {</div>
+<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Feature &quot;</span> + feature + <span class="stringliteral">&quot; not found in states&quot;</span>);</div>
+<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            }</div>
+<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        }</div>
+<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    }</div>
+<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    <span class="keywordtype">void</span> Network::setStates(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    {</div>
+<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <span class="comment">// Set states to every Node in the network</span></div>
+<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        for_each(features.begin(), features.end(), [<span class="keyword">this</span>, &amp;states](<span class="keyword">const</span> std::string&amp; feature) {</div>
+<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>            nodes.at(feature)-&gt;setNumStates(states.at(feature).size());</div>
+<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>            });</div>
+<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        classNumStates = nodes.at(className)-&gt;getNumStates();</div>
+<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    }</div>
+<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    <span class="comment">// X comes in nxm, where n is the number of features and m the number of samples</span></div>
+<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>    <span class="keywordtype">void</span> Network::fit(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    {</div>
+<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        checkFitData(X.size(1), X.size(0), y.size(0), featureNames, className, states, weights);</div>
+<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        this-&gt;className = className;</div>
+<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        torch::Tensor ytmp = torch::transpose(y.view({ y.size(0), 1 }), 0, 1);</div>
+<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        samples = torch::cat({ X , ytmp }, 0);</div>
+<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; featureNames.size(); ++i) {</div>
+<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>            <span class="keyword">auto</span> row_feature = X.index({ i, <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        }</div>
+<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        completeFit(states, weights);</div>
+<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    }</div>
+<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>    <span class="keywordtype">void</span> Network::fit(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>    {</div>
+<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        checkFitData(samples.size(1), samples.size(0) - 1, samples.size(1), featureNames, className, states, weights);</div>
+<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        this-&gt;className = className;</div>
+<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        this-&gt;samples = samples;</div>
+<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        completeFit(states, weights);</div>
+<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    }</div>
+<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>    <span class="comment">// input_data comes in nxm, where n is the number of features and m the number of samples</span></div>
+<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>    <span class="keywordtype">void</span> Network::fit(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; input_data, <span class="keyword">const</span> std::vector&lt;int&gt;&amp; labels, <span class="keyword">const</span> std::vector&lt;double&gt;&amp; weights_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
+<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>    {</div>
+<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>        <span class="keyword">const</span> torch::Tensor weights = torch::tensor(weights_, torch::kFloat64);</div>
+<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>        checkFitData(input_data[0].size(), input_data.size(), labels.size(), featureNames, className, states, weights);</div>
+<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        this-&gt;className = className;</div>
+<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="comment">// Build tensor of samples (nxm) (n+1 because of the class)</span></div>
+<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        samples = torch::zeros({ <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(input_data.size() + 1), <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(input_data[0].size()) }, torch::kInt32);</div>
+<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; featureNames.size(); ++i) {</div>
+<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>            samples.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(input_data[i], torch::kInt32));</div>
+<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        }</div>
+<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        samples.index_put_({ -1, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(labels, torch::kInt32));</div>
+<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>        completeFit(states, weights);</div>
+<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    }</div>
+<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>    <span class="keywordtype">void</span> Network::completeFit(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>    {</div>
+<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        setStates(states);</div>
+<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        laplaceSmoothing = 1.0 / samples.size(1); <span class="comment">// To use in CPT computation</span></div>
+<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        std::vector&lt;std::thread&gt; threads;</div>
+<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
+<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>            threads.emplace_back([<span class="keyword">this</span>, &amp;node, &amp;weights]() {</div>
+<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>                node.second-&gt;computeCPT(samples, features, laplaceSmoothing, weights);</div>
+<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>                });</div>
+<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        }</div>
+<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
+<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>            thread.join();</div>
+<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        }</div>
+<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        fitted = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>    }</div>
+<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    torch::Tensor Network::predict_tensor(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> <span class="keywordtype">bool</span> proba)</div>
+<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>    {</div>
+<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;You must call fit() before calling predict()&quot;</span>);</div>
+<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        }</div>
+<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>        torch::Tensor result;</div>
+<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        result = torch::zeros({ samples.size(1), classNumStates }, torch::kFloat64);</div>
+<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; samples.size(1); ++i) {</div>
+<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>            <span class="keyword">const</span> torch::Tensor sample = samples.index({ <span class="stringliteral">&quot;...&quot;</span>, i });</div>
+<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>            <span class="keyword">auto</span> psample = predict_sample(sample);</div>
+<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>            <span class="keyword">auto</span> temp = torch::tensor(psample, torch::kFloat64);</div>
+<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>            <span class="comment">//            result.index_put_({ i, &quot;...&quot; }, torch::tensor(predict_sample(sample), torch::kFloat64));</span></div>
+<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>            result.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, temp);</div>
+<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>        }</div>
+<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        <span class="keywordflow">if</span> (proba)</div>
+<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>            <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <span class="keywordflow">return</span> result.argmax(1);</div>
+<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>    }</div>
+<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>    <span class="comment">// Return mxn tensor of probabilities</span></div>
+<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>    torch::Tensor Network::predict_proba(<span class="keyword">const</span> torch::Tensor&amp; samples)</div>
+<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>    {</div>
+<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>        <span class="keywordflow">return</span> predict_tensor(samples, <span class="keyword">true</span>);</div>
+<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>    }</div>
+<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span> </div>
+<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>    <span class="comment">// Return mxn tensor of probabilities</span></div>
+<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>    torch::Tensor Network::predict(<span class="keyword">const</span> torch::Tensor&amp; samples)</div>
+<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>    {</div>
+<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        <span class="keywordflow">return</span> predict_tensor(samples, <span class="keyword">false</span>);</div>
+<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>    }</div>
+<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span> </div>
+<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>    <span class="comment">// Return mx1 std::vector of predictions</span></div>
+<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>    <span class="comment">// tsamples is nxm std::vector of samples</span></div>
+<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>    std::vector&lt;int&gt; Network::predict(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples)</div>
+<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>    {</div>
+<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;You must call fit() before calling predict()&quot;</span>);</div>
+<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        }</div>
+<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        std::vector&lt;int&gt; predictions;</div>
+<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        std::vector&lt;int&gt; sample;</div>
+<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> row = 0; row &lt; tsamples[0].size(); ++row) {</div>
+<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>            sample.clear();</div>
+<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> col = 0; col &lt; tsamples.size(); ++col) {</div>
+<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>                sample.push_back(tsamples[col][row]);</div>
+<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>            }</div>
+<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>            std::vector&lt;double&gt; classProbabilities = predict_sample(sample);</div>
+<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>            <span class="comment">// Find the class with the maximum posterior probability</span></div>
+<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>            <span class="keyword">auto</span> maxElem = max_element(classProbabilities.begin(), classProbabilities.end());</div>
+<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>            <span class="keywordtype">int</span> predictedClass = distance(classProbabilities.begin(), maxElem);</div>
+<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>            predictions.push_back(predictedClass);</div>
+<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>        }</div>
+<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span>        <span class="keywordflow">return</span> predictions;</div>
+<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span>    }</div>
+<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>    <span class="comment">// Return mxn std::vector of probabilities</span></div>
+<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>    <span class="comment">// tsamples is nxm std::vector of samples</span></div>
+<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Network::predict_proba(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples)</div>
+<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span>    {</div>
+<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span>        <span class="keywordflow">if</span> (!fitted) {</div>
+<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;You must call fit() before calling predict_proba()&quot;</span>);</div>
+<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>        }</div>
+<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predictions;</div>
+<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>        std::vector&lt;int&gt; sample;</div>
+<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> row = 0; row &lt; tsamples[0].size(); ++row) {</div>
+<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>            sample.clear();</div>
+<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> col = 0; col &lt; tsamples.size(); ++col) {</div>
+<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>                sample.push_back(tsamples[col][row]);</div>
+<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>            }</div>
+<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>            predictions.push_back(predict_sample(sample));</div>
+<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>        }</div>
+<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>        <span class="keywordflow">return</span> predictions;</div>
+<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>    }</div>
+<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span>    <span class="keywordtype">double</span> Network::score(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples, <span class="keyword">const</span> std::vector&lt;int&gt;&amp; labels)</div>
+<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>    {</div>
+<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>        std::vector&lt;int&gt; y_pred = predict(tsamples);</div>
+<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span>        <span class="keywordtype">int</span> correct = 0;</div>
+<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; y_pred.size(); ++i) {</div>
+<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span>            <span class="keywordflow">if</span> (y_pred[i] == labels[i]) {</div>
+<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span>                correct++;</div>
+<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span>            }</div>
+<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>        }</div>
+<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>        <span class="keywordflow">return</span> (<span class="keywordtype">double</span>)correct / y_pred.size();</div>
+<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>    }</div>
+<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>    <span class="comment">// Return 1xn std::vector of probabilities</span></div>
+<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    std::vector&lt;double&gt; Network::predict_sample(<span class="keyword">const</span> std::vector&lt;int&gt;&amp; sample)</div>
+<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>    {</div>
+<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>        <span class="comment">// Ensure the sample size is equal to the number of features</span></div>
+<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>        <span class="keywordflow">if</span> (sample.size() != features.size() - 1) {</div>
+<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Sample size (&quot;</span> + std::to_string(sample.size()) +</div>
+<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>                <span class="stringliteral">&quot;) does not match the number of features (&quot;</span> + std::to_string(features.size() - 1) + <span class="stringliteral">&quot;)&quot;</span>);</div>
+<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>        }</div>
+<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>        std::map&lt;std::string, int&gt; evidence;</div>
+<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; sample.size(); ++i) {</div>
+<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span>            evidence[features[i]] = sample[i];</div>
+<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span>        }</div>
+<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span>        <span class="keywordflow">return</span> exactInference(evidence);</div>
+<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span>    }</div>
+<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>    <span class="comment">// Return 1xn std::vector of probabilities</span></div>
+<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>    std::vector&lt;double&gt; Network::predict_sample(<span class="keyword">const</span> torch::Tensor&amp; sample)</div>
+<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span>    {</div>
+<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span>        <span class="comment">// Ensure the sample size is equal to the number of features</span></div>
+<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>        <span class="keywordflow">if</span> (sample.size(0) != features.size() - 1) {</div>
+<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Sample size (&quot;</span> + std::to_string(sample.size(0)) +</div>
+<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>                <span class="stringliteral">&quot;) does not match the number of features (&quot;</span> + std::to_string(features.size() - 1) + <span class="stringliteral">&quot;)&quot;</span>);</div>
+<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span>        }</div>
+<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span>        std::map&lt;std::string, int&gt; evidence;</div>
+<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; sample.size(0); ++i) {</div>
+<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>            evidence[features[i]] = sample[i].item&lt;<span class="keywordtype">int</span>&gt;();</div>
+<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>        }</div>
+<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span>        <span class="keywordflow">return</span> exactInference(evidence);</div>
+<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>    }</div>
+<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>    <span class="keywordtype">double</span> Network::computeFactor(std::map&lt;std::string, int&gt;&amp; completeEvidence)</div>
+<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>    {</div>
+<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>        <span class="keywordtype">double</span> result = 1.0;</div>
+<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : getNodes()) {</div>
+<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>            result *= node.second-&gt;getFactorValue(completeEvidence);</div>
+<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span>        }</div>
+<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>    }</div>
+<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>    std::vector&lt;double&gt; Network::exactInference(std::map&lt;std::string, int&gt;&amp; evidence)</div>
+<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>    {</div>
+<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>        std::vector&lt;double&gt; result(classNumStates, 0.0);</div>
+<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span>        std::vector&lt;std::thread&gt; threads;</div>
+<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span>        std::mutex mtx;</div>
+<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; classNumStates; ++i) {</div>
+<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span>            threads.emplace_back([<span class="keyword">this</span>, &amp;result, &amp;evidence, i, &amp;mtx]() {</div>
+<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span>                <span class="keyword">auto</span> completeEvidence = std::map&lt;std::string, int&gt;(evidence);</div>
+<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span>                completeEvidence[getClassName()] = i;</div>
+<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span>                <span class="keywordtype">double</span> factor = computeFactor(completeEvidence);</div>
+<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
+<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>                result[i] = factor;</div>
+<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>                });</div>
+<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>        }</div>
+<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
+<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span>            thread.join();</div>
+<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span>        }</div>
+<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span>        <span class="comment">// Normalize result</span></div>
+<div class="line"><a id="l00340" name="l00340"></a><span class="lineno">  340</span>        <span class="keywordtype">double</span> sum = accumulate(result.begin(), result.end(), 0.0);</div>
+<div class="line"><a id="l00341" name="l00341"></a><span class="lineno">  341</span>        transform(result.begin(), result.end(), result.begin(), [sum](<span class="keyword">const</span> <span class="keywordtype">double</span>&amp; value) { return value / sum; });</div>
+<div class="line"><a id="l00342" name="l00342"></a><span class="lineno">  342</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span>    }</div>
+<div class="line"><a id="l00344" name="l00344"></a><span class="lineno">  344</span>    std::vector&lt;std::string&gt; Network::show()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00345" name="l00345"></a><span class="lineno">  345</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>        std::vector&lt;std::string&gt; result;</div>
+<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>        <span class="comment">// Draw the network</span></div>
+<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
+<div class="line"><a id="l00349" name="l00349"></a><span class="lineno">  349</span>            std::string line = node.first + <span class="stringliteral">&quot; -&gt; &quot;</span>;</div>
+<div class="line"><a id="l00350" name="l00350"></a><span class="lineno">  350</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> child : node.second-&gt;getChildren()) {</div>
+<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span>                line += child-&gt;getName() + <span class="stringliteral">&quot;, &quot;</span>;</div>
+<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>            }</div>
+<div class="line"><a id="l00353" name="l00353"></a><span class="lineno">  353</span>            result.push_back(line);</div>
+<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span>        }</div>
+<div class="line"><a id="l00355" name="l00355"></a><span class="lineno">  355</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span>    }</div>
+<div class="line"><a id="l00357" name="l00357"></a><span class="lineno">  357</span>    std::vector&lt;std::string&gt; Network::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00359" name="l00359"></a><span class="lineno">  359</span>        <span class="keyword">auto</span> output = std::vector&lt;std::string&gt;();</div>
+<div class="line"><a id="l00360" name="l00360"></a><span class="lineno">  360</span>        <span class="keyword">auto</span> prefix = <span class="stringliteral">&quot;digraph BayesNet {\nlabel=&lt;BayesNet &quot;</span>;</div>
+<div class="line"><a id="l00361" name="l00361"></a><span class="lineno">  361</span>        <span class="keyword">auto</span> suffix = <span class="stringliteral">&quot;&gt;\nfontsize=30\nfontcolor=blue\nlabelloc=t\nlayout=circo\n&quot;</span>;</div>
+<div class="line"><a id="l00362" name="l00362"></a><span class="lineno">  362</span>        std::string header = prefix + title + suffix;</div>
+<div class="line"><a id="l00363" name="l00363"></a><span class="lineno">  363</span>        output.push_back(header);</div>
+<div class="line"><a id="l00364" name="l00364"></a><span class="lineno">  364</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
+<div class="line"><a id="l00365" name="l00365"></a><span class="lineno">  365</span>            <span class="keyword">auto</span> result = node.second-&gt;graph(className);</div>
+<div class="line"><a id="l00366" name="l00366"></a><span class="lineno">  366</span>            output.insert(output.end(), result.begin(), result.end());</div>
+<div class="line"><a id="l00367" name="l00367"></a><span class="lineno">  367</span>        }</div>
+<div class="line"><a id="l00368" name="l00368"></a><span class="lineno">  368</span>        output.push_back(<span class="stringliteral">&quot;}\n&quot;</span>);</div>
+<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span>        <span class="keywordflow">return</span> output;</div>
+<div class="line"><a id="l00370" name="l00370"></a><span class="lineno">  370</span>    }</div>
+<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span>    std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; Network::getEdges()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00372" name="l00372"></a><span class="lineno">  372</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00373" name="l00373"></a><span class="lineno">  373</span>        <span class="keyword">auto</span> edges = std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt;();</div>
+<div class="line"><a id="l00374" name="l00374"></a><span class="lineno">  374</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; node : nodes) {</div>
+<div class="line"><a id="l00375" name="l00375"></a><span class="lineno">  375</span>            <span class="keyword">auto</span> head = node.first;</div>
+<div class="line"><a id="l00376" name="l00376"></a><span class="lineno">  376</span>            <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; child : node.second-&gt;getChildren()) {</div>
+<div class="line"><a id="l00377" name="l00377"></a><span class="lineno">  377</span>                <span class="keyword">auto</span> tail = child-&gt;getName();</div>
+<div class="line"><a id="l00378" name="l00378"></a><span class="lineno">  378</span>                edges.push_back({ head, tail });</div>
+<div class="line"><a id="l00379" name="l00379"></a><span class="lineno">  379</span>            }</div>
+<div class="line"><a id="l00380" name="l00380"></a><span class="lineno">  380</span>        }</div>
+<div class="line"><a id="l00381" name="l00381"></a><span class="lineno">  381</span>        <span class="keywordflow">return</span> edges;</div>
+<div class="line"><a id="l00382" name="l00382"></a><span class="lineno">  382</span>    }</div>
+<div class="line"><a id="l00383" name="l00383"></a><span class="lineno">  383</span>    <span class="keywordtype">int</span> Network::getNumEdges()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span>        <span class="keywordflow">return</span> getEdges().size();</div>
+<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span>    }</div>
+<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>    std::vector&lt;std::string&gt; Network::topological_sort()</div>
+<div class="line"><a id="l00388" name="l00388"></a><span class="lineno">  388</span>    {</div>
+<div class="line"><a id="l00389" name="l00389"></a><span class="lineno">  389</span>        <span class="comment">/* Check if al the fathers of every node are before the node */</span></div>
+<div class="line"><a id="l00390" name="l00390"></a><span class="lineno">  390</span>        <span class="keyword">auto</span> result = features;</div>
+<div class="line"><a id="l00391" name="l00391"></a><span class="lineno">  391</span>        result.erase(remove(result.begin(), result.end(), className), result.end());</div>
+<div class="line"><a id="l00392" name="l00392"></a><span class="lineno">  392</span>        <span class="keywordtype">bool</span> ending{ <span class="keyword">false</span> };</div>
+<div class="line"><a id="l00393" name="l00393"></a><span class="lineno">  393</span>        <span class="keywordflow">while</span> (!ending) {</div>
+<div class="line"><a id="l00394" name="l00394"></a><span class="lineno">  394</span>            ending = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00395" name="l00395"></a><span class="lineno">  395</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : features) {</div>
+<div class="line"><a id="l00396" name="l00396"></a><span class="lineno">  396</span>                <span class="keyword">auto</span> fathers = nodes[feature]-&gt;getParents();</div>
+<div class="line"><a id="l00397" name="l00397"></a><span class="lineno">  397</span>                <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; father : fathers) {</div>
+<div class="line"><a id="l00398" name="l00398"></a><span class="lineno">  398</span>                    <span class="keyword">auto</span> fatherName = father-&gt;getName();</div>
+<div class="line"><a id="l00399" name="l00399"></a><span class="lineno">  399</span>                    <span class="keywordflow">if</span> (fatherName == className) {</div>
+<div class="line"><a id="l00400" name="l00400"></a><span class="lineno">  400</span>                        <span class="keywordflow">continue</span>;</div>
+<div class="line"><a id="l00401" name="l00401"></a><span class="lineno">  401</span>                    }</div>
+<div class="line"><a id="l00402" name="l00402"></a><span class="lineno">  402</span>                    <span class="comment">// Check if father is placed before the actual feature</span></div>
+<div class="line"><a id="l00403" name="l00403"></a><span class="lineno">  403</span>                    <span class="keyword">auto</span> it = find(result.begin(), result.end(), fatherName);</div>
+<div class="line"><a id="l00404" name="l00404"></a><span class="lineno">  404</span>                    <span class="keywordflow">if</span> (it != result.end()) {</div>
+<div class="line"><a id="l00405" name="l00405"></a><span class="lineno">  405</span>                        <span class="keyword">auto</span> it2 = find(result.begin(), result.end(), feature);</div>
+<div class="line"><a id="l00406" name="l00406"></a><span class="lineno">  406</span>                        <span class="keywordflow">if</span> (it2 != result.end()) {</div>
+<div class="line"><a id="l00407" name="l00407"></a><span class="lineno">  407</span>                            <span class="keywordflow">if</span> (distance(it, it2) &lt; 0) {</div>
+<div class="line"><a id="l00408" name="l00408"></a><span class="lineno">  408</span>                                <span class="comment">// if it is not, insert it before the feature</span></div>
+<div class="line"><a id="l00409" name="l00409"></a><span class="lineno">  409</span>                                result.erase(remove(result.begin(), result.end(), fatherName), result.end());</div>
+<div class="line"><a id="l00410" name="l00410"></a><span class="lineno">  410</span>                                result.insert(it2, fatherName);</div>
+<div class="line"><a id="l00411" name="l00411"></a><span class="lineno">  411</span>                                ending = <span class="keyword">false</span>;</div>
+<div class="line"><a id="l00412" name="l00412"></a><span class="lineno">  412</span>                            }</div>
+<div class="line"><a id="l00413" name="l00413"></a><span class="lineno">  413</span>                        }</div>
+<div class="line"><a id="l00414" name="l00414"></a><span class="lineno">  414</span>                    }</div>
+<div class="line"><a id="l00415" name="l00415"></a><span class="lineno">  415</span>                }</div>
+<div class="line"><a id="l00416" name="l00416"></a><span class="lineno">  416</span>            }</div>
+<div class="line"><a id="l00417" name="l00417"></a><span class="lineno">  417</span>        }</div>
+<div class="line"><a id="l00418" name="l00418"></a><span class="lineno">  418</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00419" name="l00419"></a><span class="lineno">  419</span>    }</div>
+<div class="line"><a id="l00420" name="l00420"></a><span class="lineno">  420</span>    std::string Network::dump_cpt()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00421" name="l00421"></a><span class="lineno">  421</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00422" name="l00422"></a><span class="lineno">  422</span>        std::stringstream oss;</div>
+<div class="line"><a id="l00423" name="l00423"></a><span class="lineno">  423</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
+<div class="line"><a id="l00424" name="l00424"></a><span class="lineno">  424</span>            oss &lt;&lt; <span class="stringliteral">&quot;* &quot;</span> &lt;&lt; node.first &lt;&lt; <span class="stringliteral">&quot;: (&quot;</span> &lt;&lt; node.second-&gt;getNumStates() &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span> &lt;&lt; node.second-&gt;getCPT().sizes() &lt;&lt; std::endl;</div>
+<div class="line"><a id="l00425" name="l00425"></a><span class="lineno">  425</span>            oss &lt;&lt; node.second-&gt;getCPT() &lt;&lt; std::endl;</div>
+<div class="line"><a id="l00426" name="l00426"></a><span class="lineno">  426</span>        }</div>
+<div class="line"><a id="l00427" name="l00427"></a><span class="lineno">  427</span>        <span class="keywordflow">return</span> oss.str();</div>
+<div class="line"><a id="l00428" name="l00428"></a><span class="lineno">  428</span>    }</div>
+<div class="line"><a id="l00429" name="l00429"></a><span class="lineno">  429</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Network.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_network_8h_source.html b/docs/manual/_network_8h_source.html
new file mode 100644
index 0000000..938087c
--- /dev/null
+++ b/docs/manual/_network_8h_source.html
@@ -0,0 +1,186 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Network.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_network_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Network.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef NETWORK_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define NETWORK_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;map&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/config.h&quot;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;Node.h&quot;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_network.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a> {</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>();</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>(<span class="keywordtype">float</span>);</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>(<span class="keyword">const</span> <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>&amp;);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <a class="code hl_class" href="classbayesnet_1_1_network.html">~Network</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor&amp; getSamples();</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordtype">float</span> getMaxThreads() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">void</span> addNode(<span class="keyword">const</span> std::string&amp;);</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordtype">void</span> addEdge(<span class="keyword">const</span> std::string&amp;, <span class="keyword">const</span> std::string&amp;);</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt;&amp; getNodes();</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        std::vector&lt;std::string&gt; getFeatures() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getStates() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; getEdges() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordtype">int</span> getNumEdges() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keywordtype">int</span> getClassNumStates() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        std::string getClassName() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="comment">/*</span></div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">        Notice: Nodes have to be inserted in the same order as they are in the dataset, i.e., first node is first column and so on.</span></div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment">        */</span></div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordtype">void</span> fit(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; input_data, <span class="keyword">const</span> std::vector&lt;int&gt;&amp; labels, <span class="keyword">const</span> std::vector&lt;double&gt;&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordtype">void</span> fit(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="keywordtype">void</span> fit(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::vector&lt;int&gt; predict(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp;); <span class="comment">// Return mx1 std::vector of predictions</span></div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        torch::Tensor predict(<span class="keyword">const</span> torch::Tensor&amp;); <span class="comment">// Return mx1 tensor of predictions</span></div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        torch::Tensor predict_tensor(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> <span class="keywordtype">bool</span> proba);</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp;); <span class="comment">// Return mxn std::vector of probabilities</span></div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        torch::Tensor predict_proba(<span class="keyword">const</span> torch::Tensor&amp;); <span class="comment">// Return mxn tensor of probabilities</span></div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">double</span> score(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp;, <span class="keyword">const</span> std::vector&lt;int&gt;&amp;);</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        std::vector&lt;std::string&gt; topological_sort();</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        std::vector&lt;std::string&gt; show() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title) <span class="keyword">const</span>; <span class="comment">// Returns a std::vector of std::strings representing the graph in graphviz format</span></div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordtype">void</span> initialize();</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::string dump_cpt() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span>  { project_version.begin(), project_version.end() }; }</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt; nodes;</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keywordtype">bool</span> fitted;</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keywordtype">float</span> maxThreads = 0.95;</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordtype">int</span> classNumStates;</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        std::vector&lt;std::string&gt; features; <span class="comment">// Including classname</span></div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        std::string className;</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        <span class="keywordtype">double</span> laplaceSmoothing;</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        torch::Tensor samples; <span class="comment">// n+1xm tensor used to fit the model</span></div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        <span class="keywordtype">bool</span> isCyclic(<span class="keyword">const</span> std::string&amp;, std::unordered_set&lt;std::string&gt;&amp;, std::unordered_set&lt;std::string&gt;&amp;);</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        std::vector&lt;double&gt; predict_sample(<span class="keyword">const</span> std::vector&lt;int&gt;&amp;);</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        std::vector&lt;double&gt; predict_sample(<span class="keyword">const</span> torch::Tensor&amp;);</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        std::vector&lt;double&gt; exactInference(std::map&lt;std::string, int&gt;&amp;);</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="keywordtype">double</span> computeFactor(std::map&lt;std::string, int&gt;&amp;);</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="keywordtype">void</span> completeFit(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordtype">void</span> checkFitData(<span class="keywordtype">int</span> n_features, <span class="keywordtype">int</span> n_samples, <span class="keywordtype">int</span> n_samples_y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="keywordtype">void</span> setStates(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp;);</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    };</div>
+</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>}</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_network_html"><div class="ttname"><a href="classbayesnet_1_1_network.html">bayesnet::Network</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">Network.h:15</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Network.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_node_8cc_source.html b/docs/manual/_node_8cc_source.html
new file mode 100644
index 0000000..2046da7
--- /dev/null
+++ b/docs/manual/_node_8cc_source.html
@@ -0,0 +1,254 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Node.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_node_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Node.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;Node.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    Node::Node(<span class="keyword">const</span> std::string&amp; name)</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        : name(name)</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    }</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keywordtype">void</span> Node::clear()</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    {</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        parents.clear();</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        children.clear();</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        cpTable = torch::Tensor();</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        dimensions.clear();</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        numStates = 0;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    }</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    std::string Node::getName()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">return</span> name;</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    }</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    <span class="keywordtype">void</span> Node::addParent(Node* parent)</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    {</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        parents.push_back(parent);</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    }</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    <span class="keywordtype">void</span> Node::removeParent(Node* parent)</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    {</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        parents.erase(std::remove(parents.begin(), parents.end(), parent), parents.end());</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    }</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    <span class="keywordtype">void</span> Node::removeChild(Node* child)</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    {</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        children.erase(std::remove(children.begin(), children.end(), child), children.end());</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    }</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    <span class="keywordtype">void</span> Node::addChild(Node* child)</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    {</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        children.push_back(child);</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    }</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    std::vector&lt;Node*&gt;&amp; Node::getParents()</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    {</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordflow">return</span> parents;</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    }</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    std::vector&lt;Node*&gt;&amp; Node::getChildren()</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>    {</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordflow">return</span> children;</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    }</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    <span class="keywordtype">int</span> Node::getNumStates()<span class="keyword"> const</span></div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keywordflow">return</span> numStates;</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>    }</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    <span class="keywordtype">void</span> Node::setNumStates(<span class="keywordtype">int</span> numStates)</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    {</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        this-&gt;numStates = numStates;</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    }</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    torch::Tensor&amp; Node::getCPT()</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    {</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordflow">return</span> cpTable;</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    }</div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    <span class="comment">/*</span></div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">     The MinFill criterion is a heuristic for variable elimination.</span></div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">     The variable that minimizes the number of edges that need to be added to the graph to make it triangulated.</span></div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">     This is done by counting the number of edges that need to be added to the graph if the variable is eliminated.</span></div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">     The variable with the minimum number of edges is chosen.</span></div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment">     Here this is done computing the length of the combinations of the node neighbors taken 2 by 2.</span></div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment">    */</span></div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    <span class="keywordtype">unsigned</span> Node::minFill()</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    {</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        std::unordered_set&lt;std::string&gt; neighbors;</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> child : children) {</div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>            neighbors.emplace(child-&gt;getName());</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        }</div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> parent : parents) {</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>            neighbors.emplace(parent-&gt;getName());</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        }</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="keyword">auto</span> source = std::vector&lt;std::string&gt;(neighbors.begin(), neighbors.end());</div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="keywordflow">return</span> combinations(source).size();</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>    }</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; Node::combinations(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; source)</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>    {</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; result;</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; source.size(); ++i) {</div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            std::string temp = source[i];</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = i + 1; j &lt; source.size(); ++j) {</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                result.push_back({ temp, source[j] });</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            }</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        }</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        <span class="keywordflow">return</span> result;</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    }</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>    <span class="keywordtype">void</span> Node::computeCPT(<span class="keyword">const</span> torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> <span class="keywordtype">double</span> laplaceSmoothing, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    {</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        dimensions.clear();</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        <span class="comment">// Get dimensions of the CPT</span></div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        dimensions.push_back(numStates);</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        transform(parents.begin(), parents.end(), back_inserter(dimensions), [](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; parent) { <span class="keywordflow">return</span> parent-&gt;getNumStates(); });</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        <span class="comment">// Create a tensor of zeros with the dimensions of the CPT</span></div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        cpTable = torch::zeros(dimensions, torch::kFloat) + laplaceSmoothing;</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        <span class="comment">// Fill table with counts</span></div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keyword">auto</span> pos = find(features.begin(), features.end(), name);</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <span class="keywordflow">if</span> (pos == features.end()) {</div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;Feature &quot;</span> + name + <span class="stringliteral">&quot; not found in dataset&quot;</span>);</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        }</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keywordtype">int</span> name_index = pos - features.begin();</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n_sample = 0; n_sample &lt; dataset.size(1); ++n_sample) {</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            c10::List&lt;c10::optional&lt;at::Tensor&gt;&gt; coordinates;</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            coordinates.push_back(dataset.index({ name_index, n_sample }));</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> parent : parents) {</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                pos = find(features.begin(), features.end(), parent-&gt;getName());</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                <span class="keywordflow">if</span> (pos == features.end()) {</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>                    <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;Feature parent &quot;</span> + parent-&gt;getName() + <span class="stringliteral">&quot; not found in dataset&quot;</span>);</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                }</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                <span class="keywordtype">int</span> parent_index = pos - features.begin();</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                coordinates.push_back(dataset.index({ parent_index, n_sample }));</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>            }</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>            <span class="comment">// Increment the count of the corresponding coordinate</span></div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>            cpTable.index_put_({ coordinates }, cpTable.index({ coordinates }) + weights.index({ n_sample }).item&lt;<span class="keywordtype">double</span>&gt;());</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        }</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        <span class="comment">// Normalize the counts</span></div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        cpTable = cpTable / cpTable.sum(0);</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    }</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    <span class="keywordtype">float</span> Node::getFactorValue(std::map&lt;std::string, int&gt;&amp; evidence)</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    {</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        c10::List&lt;c10::optional&lt;at::Tensor&gt;&gt; coordinates;</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="comment">// following predetermined order of indices in the cpTable (see Node.h)</span></div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        coordinates.push_back(at::tensor(evidence[name]));</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        transform(parents.begin(), parents.end(), std::back_inserter(coordinates), [&amp;evidence](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; parent) { return at::tensor(evidence[parent-&gt;getName()]); });</div>
+<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keywordflow">return</span> cpTable.index({ coordinates }).item&lt;float&gt;();</div>
+<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>    }</div>
+<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>    std::vector&lt;std::string&gt; Node::graph(<span class="keyword">const</span> std::string&amp; className)</div>
+<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    {</div>
+<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="keyword">auto</span> output = std::vector&lt;std::string&gt;();</div>
+<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        <span class="keyword">auto</span> suffix = name == className ? <span class="stringliteral">&quot;, fontcolor=red, fillcolor=lightblue, style=filled &quot;</span> : <span class="stringliteral">&quot;&quot;</span>;</div>
+<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        output.push_back(name + <span class="stringliteral">&quot; [shape=circle&quot;</span> + suffix + <span class="stringliteral">&quot;] \n&quot;</span>);</div>
+<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        transform(children.begin(), children.end(), back_inserter(output), [<span class="keyword">this</span>](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; child) { <span class="keywordflow">return</span> name + <span class="stringliteral">&quot; -&gt; &quot;</span> + child-&gt;getName(); });</div>
+<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="keywordflow">return</span> output;</div>
+<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    }</div>
+<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Node.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_node_8h_source.html b/docs/manual/_node_8h_source.html
new file mode 100644
index 0000000..5121b18
--- /dev/null
+++ b/docs/manual/_node_8h_source.html
@@ -0,0 +1,159 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Node.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_node_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Node.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef NODE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define NODE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;unordered_set&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;string&gt;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00014" data-start="{" data-end="};">
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_node.html">   14</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a> {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>(<span class="keyword">const</span> std::string&amp;);</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keywordtype">void</span> clear();</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordtype">void</span> addParent(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> addChild(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keywordtype">void</span> removeParent(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordtype">void</span> removeChild(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::string getName() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::vector&lt;Node*&gt;&amp; getParents();</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        std::vector&lt;Node*&gt;&amp; getChildren();</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        torch::Tensor&amp; getCPT();</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">void</span> computeCPT(<span class="keyword">const</span> torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> <span class="keywordtype">double</span> laplaceSmoothing, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getNumStates() <span class="keyword">const</span>;</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordtype">void</span> setNumStates(<span class="keywordtype">int</span>);</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordtype">unsigned</span> minFill();</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; clasName); <span class="comment">// Returns a std::vector of std::strings representing the graph in graphviz format</span></div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordtype">float</span> getFactorValue(std::map&lt;std::string, int&gt;&amp;);</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::string name;</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        std::vector&lt;Node*&gt; parents;</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        std::vector&lt;Node*&gt; children;</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordtype">int</span> numStates = 0; <span class="comment">// number of states of the variable</span></div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        torch::Tensor cpTable; <span class="comment">// Order of indices is 0-&gt; node variable, 1-&gt; 1st parent, 2-&gt; 2nd parent, ...</span></div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::vector&lt;int64_t&gt; dimensions; <span class="comment">// dimensions of the cpTable</span></div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; combinations(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp;);</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    };</div>
+</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>}</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_node_html"><div class="ttname"><a href="classbayesnet_1_1_node.html">bayesnet::Node</a></div><div class="ttdef"><b>Definition</b> <a href="#l00014">Node.h:14</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Node.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_proposal_8cc_source.html b/docs/manual/_proposal_8cc_source.html
new file mode 100644
index 0000000..89130d5
--- /dev/null
+++ b/docs/manual/_proposal_8cc_source.html
@@ -0,0 +1,243 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Proposal.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_proposal_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Proposal.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    Proposal::Proposal(torch::Tensor&amp; dataset_, std::vector&lt;std::string&gt;&amp; features_, std::string&amp; className_) : pDataset(dataset_), pFeatures(features_), pClassName(className_) {}</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    Proposal::~Proposal()</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; [key, value] : discretizers) {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>            <span class="keyword">delete</span> value;</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        }</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    }</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <span class="keywordtype">void</span> Proposal::checkInput(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y)</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    {</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordflow">if</span> (!torch::is_floating_point(X)) {</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X must be a floating point tensor&quot;</span>);</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        }</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordflow">if</span> (torch::is_floating_point(y)) {</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;y must be an integer tensor&quot;</span>);</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        }</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    }</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::localDiscretizationProposal(<span class="keyword">const</span> map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; oldStates, Network&amp; model)</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    {</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="comment">// order of local discretization is important. no good 0, 1, 2...</span></div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="comment">// although we rediscretize features after the local discretization of every feature</span></div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keyword">auto</span> order = model.topological_sort();</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keyword">auto</span>&amp; nodes = model.getNodes();</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; states = oldStates;</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::vector&lt;int&gt; indicesToReDiscretize;</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordtype">bool</span> upgrade = <span class="keyword">false</span>; <span class="comment">// Flag to check if we need to upgrade the model</span></div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : order) {</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>            <span class="keyword">auto</span> nodeParents = nodes[feature]-&gt;getParents();</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>            <span class="keywordflow">if</span> (nodeParents.size() &lt; 2) <span class="keywordflow">continue</span>; <span class="comment">// Only has class as parent</span></div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            upgrade = <span class="keyword">true</span>;</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            <span class="keywordtype">int</span> index = find(pFeatures.begin(), pFeatures.end(), feature) - pFeatures.begin();</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>            indicesToReDiscretize.push_back(index); <span class="comment">// We need to re-discretize this feature</span></div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>            std::vector&lt;std::string&gt; parents;</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>            transform(nodeParents.begin(), nodeParents.end(), back_inserter(parents), [](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; p) { <span class="keywordflow">return</span> p-&gt;getName(); });</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>            <span class="comment">// Remove class as parent as it will be added later</span></div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>            parents.erase(remove(parents.begin(), parents.end(), pClassName), parents.end());</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>            <span class="comment">// Get the indices of the parents</span></div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>            std::vector&lt;int&gt; indices;</div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>            indices.push_back(-1); <span class="comment">// Add class index</span></div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>            transform(parents.begin(), parents.end(), back_inserter(indices), [&amp;](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; p) {<span class="keywordflow">return</span> find(pFeatures.begin(), pFeatures.end(), p) - pFeatures.begin(); });</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            <span class="comment">// Now we fit the discretizer of the feature, conditioned on its parents and the class i.e. discretizer.fit(X[index], X[indices] + y)</span></div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>            std::vector&lt;std::string&gt; yJoinParents(Xf.size(1));</div>
+<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> idx : indices) {</div>
+<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; Xf.size(1); ++i) {</div>
+<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>                    yJoinParents[i] += to_string(pDataset.index({ idx, i }).item&lt;<span class="keywordtype">int</span>&gt;());</div>
+<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>                }</div>
+<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            }</div>
+<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            <span class="keyword">auto</span> yxv = factorize(yJoinParents);</div>
+<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            <span class="keyword">auto</span> xvf_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</div>
+<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>            <span class="keyword">auto</span> xvf = std::vector&lt;mdlp::precision_t&gt;(xvf_ptr, xvf_ptr + Xf.size(1));</div>
+<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>            discretizers[feature]-&gt;fit(xvf, yxv);</div>
+<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        }</div>
+<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordflow">if</span> (upgrade) {</div>
+<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            <span class="comment">// Discretize again X (only the affected indices) with the new fitted discretizers</span></div>
+<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> index : indicesToReDiscretize) {</div>
+<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>                <span class="keyword">auto</span> Xt_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</div>
+<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>                <span class="keyword">auto</span> Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</div>
+<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>                pDataset.index_put_({ index, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(discretizers[pFeatures[index]]-&gt;transform(Xt)));</div>
+<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>                <span class="keyword">auto</span> xStates = std::vector&lt;int&gt;(discretizers[pFeatures[index]]-&gt;getCutPoints().size() + 1);</div>
+<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>                iota(xStates.begin(), xStates.end(), 0);</div>
+<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>                <span class="comment">//Update new states of the feature/node</span></div>
+<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>                states[pFeatures[index]] = xStates;</div>
+<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>            }</div>
+<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>            <span class="keyword">const</span> torch::Tensor weights = torch::full({ pDataset.size(1) }, 1.0 / pDataset.size(1), torch::kDouble);</div>
+<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>            model.fit(pDataset, weights, pFeatures, pClassName, states);</div>
+<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        }</div>
+<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        <span class="keywordflow">return</span> states;</div>
+<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>    }</div>
+<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::fit_local_discretization(<span class="keyword">const</span> torch::Tensor&amp; y)</div>
+<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    {</div>
+<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="comment">// Discretize the continuous input data and build pDataset (Classifier::dataset)</span></div>
+<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="keywordtype">int</span> m = Xf.size(1);</div>
+<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordtype">int</span> n = Xf.size(0);</div>
+<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; states;</div>
+<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        pDataset = torch::zeros({ n + 1, m }, torch::kInt32);</div>
+<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keyword">auto</span> yv = std::vector&lt;int&gt;(y.data_ptr&lt;<span class="keywordtype">int</span>&gt;(), y.data_ptr&lt;<span class="keywordtype">int</span>&gt;() + y.size(0));</div>
+<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="comment">// discretize input data by feature(row)</span></div>
+<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; pFeatures.size(); ++i) {</div>
+<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keyword">auto</span>* discretizer = <span class="keyword">new</span> mdlp::CPPFImdlp();</div>
+<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keyword">auto</span> Xt_ptr = Xf.index({ i }).data_ptr&lt;float&gt;();</div>
+<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            <span class="keyword">auto</span> Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</div>
+<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            discretizer-&gt;fit(Xt, yv);</div>
+<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            pDataset.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(discretizer-&gt;transform(Xt)));</div>
+<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>            <span class="keyword">auto</span> xStates = std::vector&lt;int&gt;(discretizer-&gt;getCutPoints().size() + 1);</div>
+<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            iota(xStates.begin(), xStates.end(), 0);</div>
+<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            states[pFeatures[i]] = xStates;</div>
+<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>            discretizers[pFeatures[i]] = discretizer;</div>
+<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        }</div>
+<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordtype">int</span> n_classes = torch::max(y).item&lt;<span class="keywordtype">int</span>&gt;() + 1;</div>
+<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="keyword">auto</span> yStates = std::vector&lt;int&gt;(n_classes);</div>
+<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        iota(yStates.begin(), yStates.end(), 0);</div>
+<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        states[pClassName] = yStates;</div>
+<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        pDataset.index_put_({ n, <span class="stringliteral">&quot;...&quot;</span> }, y);</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keywordflow">return</span> states;</div>
+<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    }</div>
+<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    torch::Tensor Proposal::prepareX(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    {</div>
+<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keyword">auto</span> Xtd = torch::zeros_like(X, torch::kInt32);</div>
+<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; X.size(0); ++i) {</div>
+<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            <span class="keyword">auto</span> Xt = std::vector&lt;float&gt;(X[i].data_ptr&lt;float&gt;(), X[i].data_ptr&lt;float&gt;() + X.size(1));</div>
+<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            <span class="keyword">auto</span> Xd = discretizers[pFeatures[i]]-&gt;transform(Xt);</div>
+<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            Xtd.index_put_({ i }, torch::tensor(Xd, torch::kInt32));</div>
+<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        }</div>
+<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        <span class="keywordflow">return</span> Xtd;</div>
+<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    }</div>
+<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    std::vector&lt;int&gt; Proposal::factorize(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; labels_t)</div>
+<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    {</div>
+<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>        std::vector&lt;int&gt; yy;</div>
+<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        yy.reserve(labels_t.size());</div>
+<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        std::map&lt;std::string, int&gt; labelMap;</div>
+<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keywordtype">int</span> i = 0;</div>
+<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string&amp; label : labels_t) {</div>
+<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>            <span class="keywordflow">if</span> (labelMap.find(label) == labelMap.end()) {</div>
+<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>                labelMap[label] = i++;</div>
+<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>                <span class="keywordtype">bool</span> allDigits = std::all_of(label.begin(), label.end(), ::isdigit);</div>
+<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>            }</div>
+<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>            yy.push_back(labelMap[label]);</div>
+<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        }</div>
+<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="keywordflow">return</span> yy;</div>
+<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>    }</div>
+<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Proposal.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_proposal_8h_source.html b/docs/manual/_proposal_8h_source.html
new file mode 100644
index 0000000..dcce17b
--- /dev/null
+++ b/docs/manual/_proposal_8h_source.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Proposal.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_proposal_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Proposal.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef PROPOSAL_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define PROPOSAL_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;map&gt;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;CPPFImdlp.h&gt;</span></div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="preprocessor">#include &quot;bayesnet/network/Network.h&quot;</span></div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span> </div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00017" data-start="{" data-end="};">
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_proposal.html">   17</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a>(torch::Tensor&amp; pDataset, std::vector&lt;std::string&gt;&amp; features_, std::string&amp; className_);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">~Proposal</a>();</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordtype">void</span> checkInput(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        torch::Tensor prepareX(torch::Tensor&amp; X);</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; localDiscretizationProposal(<span class="keyword">const</span> map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>&amp; model);</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; fit_local_discretization(<span class="keyword">const</span> torch::Tensor&amp; y);</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        torch::Tensor Xf; <span class="comment">// X continuous nxm tensor</span></div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        torch::Tensor y; <span class="comment">// y discrete nx1 tensor</span></div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        map&lt;std::string, mdlp::CPPFImdlp*&gt; discretizers;</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        std::vector&lt;int&gt; factorize(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; labels_t);</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        torch::Tensor&amp; pDataset; <span class="comment">// (n+1)xm tensor</span></div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        std::vector&lt;std::string&gt;&amp; pFeatures;</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::string&amp; pClassName;</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    };</div>
+</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>}</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span> </div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#endif  </span></div>
+<div class="ttc" id="aclassbayesnet_1_1_network_html"><div class="ttname"><a href="classbayesnet_1_1_network.html">bayesnet::Network</a></div><div class="ttdef"><b>Definition</b> <a href="_network_8h_source.html#l00015">Network.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="#l00017">Proposal.h:17</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Proposal.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_s_p_o_d_e_8cc_source.html b/docs/manual/_s_p_o_d_e_8cc_source.html
new file mode 100644
index 0000000..2e5c363
--- /dev/null
+++ b/docs/manual/_s_p_o_d_e_8cc_source.html
@@ -0,0 +1,145 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODE.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_s_p_o_d_e_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">SPODE.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;SPODE.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    SPODE::SPODE(<span class="keywordtype">int</span> root) : Classifier(Network()), root(root) {}</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span> </div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keywordtype">void</span> SPODE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="comment">// 0. Add all nodes to the model</span></div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        addNodes();</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="comment">// 1. Add edges from the class node to all other nodes</span></div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="comment">// 2. Add edges from the root node to all other nodes</span></div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            model.addEdge(className, features[i]);</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            <span class="keywordflow">if</span> (i != root) {</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>                model.addEdge(features[root], features[i]);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            }</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        }</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    }</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    std::vector&lt;std::string&gt; SPODE::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordflow">return</span> model.graph(name);</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    }</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span> </div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODE.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_s_p_o_d_e_8h_source.html b/docs/manual/_s_p_o_d_e_8h_source.html
new file mode 100644
index 0000000..681595b
--- /dev/null
+++ b/docs/manual/_s_p_o_d_e_8h_source.html
@@ -0,0 +1,141 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODE.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_s_p_o_d_e_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">SPODE.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef SPODE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define SPODE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00012" data-start="{" data-end="};">
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_s_p_o_d_e.html">   12</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="keywordtype">int</span> root;</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a>(<span class="keywordtype">int</span> root);</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">~SPODE</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;SPODE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    };</div>
+</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>}</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_s_p_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00012">SPODE.h:12</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODE.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_s_p_o_d_e_ld_8cc_source.html b/docs/manual/_s_p_o_d_e_ld_8cc_source.html
new file mode 100644
index 0000000..1afe7a6
--- /dev/null
+++ b/docs/manual/_s_p_o_d_e_ld_8cc_source.html
@@ -0,0 +1,164 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODELd.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_s_p_o_d_e_ld_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">SPODELd.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;SPODELd.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    SPODELd::SPODELd(<span class="keywordtype">int</span> root) : SPODE(root), Proposal(dataset, features, className) {}</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    SPODELd&amp; SPODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        checkInput(X_, y_);</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        Xf = X_;</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        y = y_;</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordflow">return</span> commonFit(features_, className_, states_);</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    }</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span> </div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    SPODELd&amp; SPODELd::fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    {</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordflow">if</span> (!torch::is_floating_point(dataset)) {</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Dataset must be a floating point tensor&quot;</span>);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        }</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        Xf = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), <span class="stringliteral">&quot;...&quot;</span> }).clone();</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        y = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> }).clone().to(torch::kInt32);</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordflow">return</span> commonFit(features_, className_, states_);</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    }</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span> </div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    SPODELd&amp; SPODELd::commonFit(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    {</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        features = features_;</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        className = className_;</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        states = fit_local_discretization(y);</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="comment">// We have discretized the input data</span></div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="comment">// 1st we need to fit the model to build the normal SPODE structure, SPODE::fit initializes the base Bayesian network</span></div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        SPODE::fit(dataset, features, className, states);</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        states = localDiscretizationProposal(states, model);</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    }</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    torch::Tensor SPODELd::predict(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    {</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keyword">auto</span> Xt = prepareX(X);</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="keywordflow">return</span> SPODE::predict(Xt);</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    }</div>
+<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    std::vector&lt;std::string&gt; SPODELd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="keywordflow">return</span> SPODE::graph(name);</div>
+<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>    }</div>
+<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODELd.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_s_p_o_d_e_ld_8h_source.html b/docs/manual/_s_p_o_d_e_ld_8h_source.html
new file mode 100644
index 0000000..489c096
--- /dev/null
+++ b/docs/manual/_s_p_o_d_e_ld_8h_source.html
@@ -0,0 +1,144 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODELd.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_s_p_o_d_e_ld_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">SPODELd.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef SPODELD_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define SPODELD_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;SPODE.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_s_p_o_d_e_ld.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>(<span class="keywordtype">int</span> root);</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">~SPODELd</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>&amp; commonFit(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;SPODE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keyword">static</span> <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span> <span class="stringliteral">&quot;0.0.1&quot;</span>; };</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    };</div>
+</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>}</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="preprocessor">#endif </span><span class="comment">// !SPODELD_H</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_s_p_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></div><div class="ttdef"><b>Definition</b> <a href="_s_p_o_d_e_8h_source.html#l00012">SPODE.h:12</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_s_p_o_d_e_ld_html"><div class="ttname"><a href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">SPODELd.h:13</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODELd.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_s_pn_d_e_8cc_source.html b/docs/manual/_s_pn_d_e_8cc_source.html
new file mode 100644
index 0000000..c5b2eff
--- /dev/null
+++ b/docs/manual/_s_pn_d_e_8cc_source.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPnDE.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_s_pn_d_e_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">SPnDE.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;SPnDE.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    SPnDE::SPnDE(std::vector&lt;int&gt; parents) : Classifier(Network()), parents(parents) {}</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span> </div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keywordtype">void</span> SPnDE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="comment">// 0. Add all nodes to the model</span></div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        addNodes();</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;int&gt; attributes;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            <span class="keywordflow">if</span> (std::find(parents.begin(), parents.end(), i) == parents.end()) {</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>                attributes.push_back(i);</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            }</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        }</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="comment">// 1. Add edges from the class node to all other nodes</span></div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="comment">// 2. Add edges from the parents nodes to all other nodes</span></div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; attribute : attributes) {</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            model.addEdge(className, features[attribute]);</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; root : parents) {</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span> </div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>                model.addEdge(features[root], features[attribute]);</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>            }</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        }</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    }</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    std::vector&lt;std::string&gt; SPnDE::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordflow">return</span> model.graph(name);</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    }</div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPnDE.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_s_pn_d_e_8h_source.html b/docs/manual/_s_pn_d_e_8h_source.html
new file mode 100644
index 0000000..d2cfecf
--- /dev/null
+++ b/docs/manual/_s_pn_d_e_8h_source.html
@@ -0,0 +1,144 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPnDE.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_s_pn_d_e_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">SPnDE.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef SPnDE_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define SPnDE_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_s_pn_d_e.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a>(std::vector&lt;int&gt; parents);</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_s_pn_d_e.html">~SPnDE</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;SPnDE&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        std::vector&lt;int&gt; parents;</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span> </div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span> </div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    };</div>
+</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>}</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_s_pn_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">SPnDE.h:13</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPnDE.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_t_a_n_8cc_source.html b/docs/manual/_t_a_n_8cc_source.html
new file mode 100644
index 0000000..9a6f957
--- /dev/null
+++ b/docs/manual/_t_a_n_8cc_source.html
@@ -0,0 +1,159 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TAN.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_t_a_n_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">TAN.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;TAN.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    TAN::TAN() : Classifier(Network()) {}</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="keywordtype">void</span> TAN::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="comment">// 0. Add all nodes to the model</span></div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        addNodes();</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="comment">// 1. Compute mutual information between each feature and the class and set the root node</span></div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="comment">// as the highest mutual information with the class</span></div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">auto</span> mi = std::vector &lt;std::pair&lt;int, float &gt;&gt;();</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        torch::Tensor class_dataset = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            torch::Tensor feature_dataset = dataset.index({ i, <span class="stringliteral">&quot;...&quot;</span> });</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            <span class="keyword">auto</span> mi_value = metrics.mutualInformation(class_dataset, feature_dataset, weights);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            mi.push_back({ i, mi_value });</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        }</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        sort(mi.begin(), mi.end(), [](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; left, <span class="keyword">const</span> <span class="keyword">auto</span>&amp; right) {return left.second &lt; right.second;});</div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keyword">auto</span> root = mi[mi.size() - 1].first;</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="comment">// 2. Compute mutual information between each feature and the class</span></div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keyword">auto</span> weights_matrix = metrics.conditionalEdge(weights);</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="comment">// 3. Compute the maximum spanning tree</span></div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keyword">auto</span> mst = metrics.maximumSpanningTree(features, weights_matrix, root);</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="comment">// 4. Add edges from the maximum spanning tree to the model</span></div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; mst.size(); ++i) {</div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>            <span class="keyword">auto</span> [from, to] = mst[i];</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>            model.addEdge(features[from], features[to]);</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        }</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="comment">// 5. Add edges from the class to all features</span></div>
+<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : features) {</div>
+<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            model.addEdge(className, feature);</div>
+<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        }</div>
+<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    }</div>
+<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    std::vector&lt;std::string&gt; TAN::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordflow">return</span> model.graph(title);</div>
+<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    }</div>
+<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TAN.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_t_a_n_8h_source.html b/docs/manual/_t_a_n_8h_source.html
new file mode 100644
index 0000000..f8621f6
--- /dev/null
+++ b/docs/manual/_t_a_n_8h_source.html
@@ -0,0 +1,139 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TAN.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_t_a_n_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">TAN.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef TAN_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define TAN_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00011" data-start="{" data-end="};">
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_t_a_n.html">   11</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">TAN</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">protected</span>:</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">TAN</a>();</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">~TAN</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;TAN&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    };</div>
+</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>}</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="preprocessor">#endif</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_t_a_n_html"><div class="ttname"><a href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></div><div class="ttdef"><b>Definition</b> <a href="#l00011">TAN.h:11</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TAN.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_t_a_n_ld_8cc_source.html b/docs/manual/_t_a_n_ld_8cc_source.html
new file mode 100644
index 0000000..9c8daf3
--- /dev/null
+++ b/docs/manual/_t_a_n_ld_8cc_source.html
@@ -0,0 +1,150 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TANLd.cc Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_t_a_n_ld_8cc_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">TANLd.cc</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;TANLd.h&quot;</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    TANLd::TANLd() : TAN(), Proposal(dataset, features, className) {}</div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    TANLd&amp; TANLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        checkInput(X_, y_);</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        features = features_;</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        className = className_;</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        Xf = X_;</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        y = y_;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        states = fit_local_discretization(y);</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="comment">// We have discretized the input data</span></div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="comment">// 1st we need to fit the model to build the normal TAN structure, TAN::fit initializes the base Bayesian network</span></div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        TAN::fit(dataset, features, className, states);</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        states = localDiscretizationProposal(states, model);</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span> </div>
+<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    }</div>
+<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    torch::Tensor TANLd::predict(torch::Tensor&amp; X)</div>
+<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    {</div>
+<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keyword">auto</span> Xt = prepareX(X);</div>
+<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keywordflow">return</span> TAN::predict(Xt);</div>
+<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    }</div>
+<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    std::vector&lt;std::string&gt; TANLd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
+<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="keyword">    </span>{</div>
+<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordflow">return</span> TAN::graph(name);</div>
+<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    }</div>
+<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>}</div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TANLd.cc</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/_t_a_n_ld_8h_source.html b/docs/manual/_t_a_n_ld_8h_source.html
new file mode 100644
index 0000000..59cbc7b
--- /dev/null
+++ b/docs/manual/_t_a_n_ld_8h_source.html
@@ -0,0 +1,143 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TANLd.h Source File</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('_t_a_n_ld_8h_source.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">TANLd.h</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
+<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
+<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
+<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
+<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
+<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef TANLD_H</span></div>
+<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define TANLD_H</span></div>
+<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;TAN.h&quot;</span></div>
+<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
+<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
+<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
+<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
+<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_t_a_n_ld.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">TAN</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
+<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">private</span>:</div>
+<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
+<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a>();</div>
+<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">~TANLd</a>() = <span class="keywordflow">default</span>;</div>
+<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;TAN&quot;</span>) <span class="keyword">const override</span>;</div>
+<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
+<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">static</span> <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span> <span class="stringliteral">&quot;0.0.1&quot;</span>; };</div>
+<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    };</div>
+</div>
+<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>}</div>
+<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="preprocessor">#endif </span><span class="comment">// !TANLD_H</span></div>
+<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_t_a_n_html"><div class="ttname"><a href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></div><div class="ttdef"><b>Definition</b> <a href="_t_a_n_8h_source.html#l00011">TAN.h:11</a></div></div>
+<div class="ttc" id="aclassbayesnet_1_1_t_a_n_ld_html"><div class="ttname"><a href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">TANLd.h:13</a></div></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TANLd.h</b></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/annotated.html b/docs/manual/annotated.html
new file mode 100644
index 0000000..13be465
--- /dev/null
+++ b/docs/manual/annotated.html
@@ -0,0 +1,137 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Class List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('annotated.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Class List</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock">Here are the classes, structs, unions and interfaces with brief descriptions:</div><div class="directory">
+<div class="levels">[detail level <span onclick="javascript:dynsection.toggleLevel(1);">1</span><span onclick="javascript:dynsection.toggleLevel(2);">2</span>]</div><table class="directory">
+<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="dynsection.toggleFolder('0_')">&#9660;</span><span class="icona"><span class="icon">N</span></span><b>bayesnet</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a2_d_e.html" target="_self">A2DE</a></td><td class="desc"></td></tr>
+<tr id="row_0_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e.html" target="_self">AODE</a></td><td class="desc"></td></tr>
+<tr id="row_0_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html" target="_self">AODELd</a></td><td class="desc"></td></tr>
+<tr id="row_0_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_base_classifier.html" target="_self">BaseClassifier</a></td><td class="desc"></td></tr>
+<tr id="row_0_4_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost.html" target="_self">Boost</a></td><td class="desc"></td></tr>
+<tr id="row_0_5_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html" target="_self">BoostA2DE</a></td><td class="desc"></td></tr>
+<tr id="row_0_6_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html" target="_self">BoostAODE</a></td><td class="desc"></td></tr>
+<tr id="row_0_7_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_classifier.html" target="_self">Classifier</a></td><td class="desc"></td></tr>
+<tr id="row_0_8_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_ensemble.html" target="_self">Ensemble</a></td><td class="desc"></td></tr>
+<tr id="row_0_9_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b.html" target="_self">KDB</a></td><td class="desc"></td></tr>
+<tr id="row_0_10_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b_ld.html" target="_self">KDBLd</a></td><td class="desc"></td></tr>
+<tr id="row_0_11_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_network.html" target="_self">Network</a></td><td class="desc"></td></tr>
+<tr id="row_0_12_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_node.html" target="_self">Node</a></td><td class="desc"></td></tr>
+<tr id="row_0_13_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_proposal.html" target="_self">Proposal</a></td><td class="desc"></td></tr>
+<tr id="row_0_14_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_pn_d_e.html" target="_self">SPnDE</a></td><td class="desc"></td></tr>
+<tr id="row_0_15_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html" target="_self">SPODE</a></td><td class="desc"></td></tr>
+<tr id="row_0_16_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html" target="_self">SPODELd</a></td><td class="desc"></td></tr>
+<tr id="row_0_17_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n.html" target="_self">TAN</a></td><td class="desc"></td></tr>
+<tr id="row_0_18_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n_ld.html" target="_self">TANLd</a></td><td class="desc"></td></tr>
+</table>
+</div><!-- directory -->
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/annotated_dup.js b/docs/manual/annotated_dup.js
new file mode 100644
index 0000000..6c6009f
--- /dev/null
+++ b/docs/manual/annotated_dup.js
@@ -0,0 +1,24 @@
+var annotated_dup =
+[
+    [ "bayesnet", null, [
+      [ "A2DE", "classbayesnet_1_1_a2_d_e.html", null ],
+      [ "AODE", "classbayesnet_1_1_a_o_d_e.html", null ],
+      [ "AODELd", "classbayesnet_1_1_a_o_d_e_ld.html", null ],
+      [ "BaseClassifier", "classbayesnet_1_1_base_classifier.html", null ],
+      [ "Boost", "classbayesnet_1_1_boost.html", null ],
+      [ "BoostA2DE", "classbayesnet_1_1_boost_a2_d_e.html", null ],
+      [ "BoostAODE", "classbayesnet_1_1_boost_a_o_d_e.html", null ],
+      [ "Classifier", "classbayesnet_1_1_classifier.html", null ],
+      [ "Ensemble", "classbayesnet_1_1_ensemble.html", null ],
+      [ "KDB", "classbayesnet_1_1_k_d_b.html", null ],
+      [ "KDBLd", "classbayesnet_1_1_k_d_b_ld.html", null ],
+      [ "Network", "classbayesnet_1_1_network.html", null ],
+      [ "Node", "classbayesnet_1_1_node.html", null ],
+      [ "Proposal", "classbayesnet_1_1_proposal.html", null ],
+      [ "SPnDE", "classbayesnet_1_1_s_pn_d_e.html", null ],
+      [ "SPODE", "classbayesnet_1_1_s_p_o_d_e.html", null ],
+      [ "SPODELd", "classbayesnet_1_1_s_p_o_d_e_ld.html", null ],
+      [ "TAN", "classbayesnet_1_1_t_a_n.html", null ],
+      [ "TANLd", "classbayesnet_1_1_t_a_n_ld.html", null ]
+    ] ]
+];
\ No newline at end of file
diff --git a/docs/manual/bc_s.png b/docs/manual/bc_s.png
new file mode 100644
index 0000000000000000000000000000000000000000..224b29aa9847d5a4b3902efd602b7ddf7d33e6c2
GIT binary patch
literal 676
zcmV;V0$crwP)<h;3K|Lk000e1NJLTq000O80015c1^@s65rAI}0007ONkl<ZcmeI5
z%WD%+6voe;xyj6=NhXt~4{e$zF*P<SZp4L@2Hd!iQY<tJD@e5{RU55hl&Talf{KWb
zN*6A=C`Gqz5#NvcXzNOCOH(I9n<#?l<k5ws2omoMCgj%s3y1G=&gJ~>y__>=_9%My
z{n931IS})GlGUF8K#6VIbs%684A^L3@%PlP2>_sk`UWPq@f;rU*V%rPy_ekbhXT&s
z(GN{DxFv}*vZp`F>S!r||M`I*nOwwKX+BC~3P5N3-)Y{65c;ywYiAh-1*hZcToLHK
ztpl1xomJ+Yb}K(cfbJr2=GNOnT!UFA7Vy~fBz8?J>XHsbZoDad^8PxfSa0GDgENZS
zuLCEqzb*xWX2CG*b&5IiO#NzrW*;`VC9455M`o1NBh+(k8~`XCEEoC1Ybwf;vr4K3
zg|EB<07?SOqHp9DhLpS&bzgo70I+ghB_#)K7H%AMU3v}xuyQq9&Bm~++VYhF09a+U
zl7>n7Jjm$K#b*FONz~fj;I->Bf;ule1prFN9FovcDGBkpg>)O*-}eLnC{6oZHZ$o%
zXKW$;0_{8hxHQ>l;_*HATI(`7t#^{$(zLe}h*mqwOc*nRY9=?Sx4OOeVIfI|0V(V2
zBrW#G7Ss9wvzr@>H*`r>zE<Gz)cj&*s5lRy$b&*W@2j<GZEpXZ$P|Z!4Q$_|`5gj>
z+e8bOBgqIgldUJlG(YUDviMB`9+DH8n-s9SXRLyJHO1!=wY^79WYZMTa(wiZ!zP66
zA~!21vmF3H2{ngD;+`6j#~6j;$*f*G_2ZD1E;9(yaw7d-QnSCpK(cR1zU3qU0000<
KMNUMnLSTYoA~SLT

literal 0
HcmV?d00001

diff --git a/docs/manual/bc_sd.png b/docs/manual/bc_sd.png
new file mode 100644
index 0000000000000000000000000000000000000000..31ca888dc71049713b35c351933a8d0f36180bf1
GIT binary patch
literal 635
zcmV->0)+jEP)<h;3K|Lk000e1NJLTq000O80015c1^@s65rAI}0006)Nkl<ZcmeI5
z%WD%+6vn?hGsz_BG}An0CMId~a1z?2@1!l&KD1&hN-bD~LQoLFg%1h=btAfQrT8}#
z3Wb7hbmdl%7_p+bkU-OdEt;+haU+O==ZX_E^FIvdH|INN4tMUkkG+_kSV4Z~DiQ-{
z;P(0visfy<EG{=E&fjlNuRPJr;xe4DqlF9WF1aJGbq{R<c>Jwi0r1~gdSq#w{Bu1q
z`craw(p2!<S-^e8ry2oOOW$qO-@LFDq=px{zr>hu$4C_$Oc3X(sI6e=9QSTwPt{G)
z=htT&^~&c~L2~e{r5_5SYe7#Is-$ln>~Kd<Pyf6{jQBpfP;O2vJy5MYx^t)6*`&7L
zk1yW4Y2_GywLP=M2DSV{5Z#%B-6~kD_XGf&edtglet$T5qp?$c$)cGl05-eEMCrPb
z82v&mFR>%$F#tC65?{LvQ}8O`A~RBB0N~`2M+waajO;5>3B&-viHGJeEK2TQOiPRa
zfDKyqwMc4wfaEh4jt>H`nW_Zidwk@Bowp`}(VUaj-pSI(-1L>FJVsX}Yl9~JsqgsZ
zUD9(rMwf23Gez6KPa|wwInZodP-2}9@fK0Ga_9{8SOjU&4l`pH4@qlQp83>>HT$xW
zER^U>)MyV%t(Lu=`d=Y?{k1@}&r7ZGkFQ%z%N+sE9BtYjovzxyxCPxN6&@wLK{soQ
zSmkj$aLI}miuE^p@~4}mg9OjDfGEkgY4~^XzLRUBB*O{+&vq<3v(E%+k_i%=`~j%{
Vj14gnt9}3g002ovPDHLkV1n!oC4m3{

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_a2_d_e-members.html b/docs/manual/classbayesnet_1_1_a2_d_e-members.html
new file mode 100644
index 0000000..35b3392
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a2_d_e-members.html
@@ -0,0 +1,174 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_a2_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::A2DE Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>A2DE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;A2DE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~A2DE</b>() (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e.html b/docs/manual/classbayesnet_1_1_a2_d_e.html
new file mode 100644
index 0000000..d883239
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a2_d_e.html
@@ -0,0 +1,420 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::A2DE Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_a2_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_a2_d_e-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::A2DE Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::A2DE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_a2_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_a2_d_e_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_a2_d_e_inherit__map" id="abayesnet_1_1_a2_d_e_inherit__map">
+<area shape="rect" title=" " alt="" coords="30,226,148,252"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::A2DE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_a2_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_a2_d_e_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_a2_d_e_coll__map" id="abayesnet_1_1_a2_d_e_coll__map">
+<area shape="rect" title=" " alt="" coords="117,241,234,267"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:adffd540de8df913d8577bfd247dd767a" id="r_adffd540de8df913d8577bfd247dd767a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#adffd540de8df913d8577bfd247dd767a">A2DE</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:adffd540de8df913d8577bfd247dd767a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aec90b799ca3afb27d47f705268da6e01" id="r_aec90b799ca3afb27d47f705268da6e01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aec90b799ca3afb27d47f705268da6e01">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:aec90b799ca3afb27d47f705268da6e01"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a269c337eca7712cfe7b210178ac7587d" id="r_a269c337eca7712cfe7b210178ac7587d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a269c337eca7712cfe7b210178ac7587d">graph</a> (const std::string &amp;title=&quot;A2DE&quot;) const override</td></tr>
+<tr class="separator:a269c337eca7712cfe7b210178ac7587d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a9f58a4c332782c592effd79e04204503" id="r_a9f58a4c332782c592effd79e04204503"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9f58a4c332782c592effd79e04204503">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a9f58a4c332782c592effd79e04204503"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_a2_d_e_8h_source.html#l00012">12</a> of file <a class="el" href="_a2_d_e_8h_source.html">A2DE.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="adffd540de8df913d8577bfd247dd767a" name="adffd540de8df913d8577bfd247dd767a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#adffd540de8df913d8577bfd247dd767a">&#9670;&#160;</a></span>A2DE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::A2DE::A2DE </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00010">10</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
+
+</div>
+</div>
+<a id="ac7663da702c7027c8372ad17f9aa677c" name="ac7663da702c7027c8372ad17f9aa677c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac7663da702c7027c8372ad17f9aa677c">&#9670;&#160;</a></span>~A2DE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">virtual bayesnet::A2DE::~A2DE </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_a2_d_e_8h_source.html#l00015">15</a> of file <a class="el" href="_a2_d_e_8h_source.html">A2DE.h</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a9f58a4c332782c592effd79e04204503" name="a9f58a4c332782c592effd79e04204503"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9f58a4c332782c592effd79e04204503">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::A2DE::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00023">23</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
+
+</div>
+</div>
+<a id="a269c337eca7712cfe7b210178ac7587d" name="a269c337eca7712cfe7b210178ac7587d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a269c337eca7712cfe7b210178ac7587d">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::A2DE::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;A2DE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00036">36</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
+
+</div>
+</div>
+<a id="aec90b799ca3afb27d47f705268da6e01" name="aec90b799ca3afb27d47f705268da6e01"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aec90b799ca3afb27d47f705268da6e01">&#9670;&#160;</a></span>setHyperparameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::A2DE::setHyperparameters </td>
+          <td>(</td>
+          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00014">14</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a2_d_e_8h_source.html">A2DE.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_a2_d_e.html">A2DE</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map
new file mode 100644
index 0000000..2ed4963
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::A2DE" name="bayesnet::A2DE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="117,241,234,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5
new file mode 100644
index 0000000..e47884e
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5
@@ -0,0 +1 @@
+1a9d8b8ca8faca87b7939271324f2f54
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..306367d63bc5ae01d9bbc82dd3b2727c7319fd4c
GIT binary patch
literal 13836
zcmc(mbzD|mwC4{Y-O?h6AV`CRfP^AQhom4Ng3=(}DF{kSONW3+3rM%1NJ~jbN`rI@
z%zEy9@7z0eXFl`C%;)tr_?+iF`|Q2;UcdESzw<^-MV1hc77sxXLU}o9bp%0EhW|-$
zu;3>GGb|hM2bQs-tTb|g`Y)p)F9t!bA@b7qG~H4*etGI^I-g5!jhY!%%VqezbmbG^
zjP6#9O^6bF5gVIZm|Mwiv@xDE%)=3S%dzW|jZI~vh2i&Sf`VKeuN1z<c1!beDeA~D
z@{(W%KIG<iG;ER#(<Pyyz8utbdhFIcKP$q&E3(-qVrH0joWhTN7l$#BMCza4l8Bs-
z2?ARB-~GNTOU@*1a5Lv1C^*<`M0Vni>z}ZXkuEZW?*~_Wu8KM>yT&bvJUPD}jS;8L
zAgHe^^)vW)I-2!|$j{HGsp8&FVj4*;xDQK}xAte=U#p{MT>oq}TI}(pL;3bEOi9Tm
zk0%l4lM!?xFDEA_Eq9%XKFHuOCUN2_GX|Ch1m==R{k$iofy20dEt4&f#3ibqTngvT
z-`RdK_Z{ZN?stw{mKL`Jl-t(F$_vB{eU2BfYUr?#-qbt6OX<G!*|L!j9zCKq?M->J
zx97CByVRHd6|Q`!uCC70)z{U9`q)ElZ7f9C`$S-FZm!gR{=xc06>%sPPjSM6kPw&s
zG`1gWx)<4I<Ed@s@!CjHn=FH1M3;VfdHI^n1Pr6Qx3?on(5hI5i->}b4(3ZOZ`3j=
zsA|dsf2lXM&3V)S+tt;TPQr_Nc6L^0@?CKblWfGy$m197e}2`G($KuIpYNE3p+2y)
z<0WE{AV7F&!`;@3stPk*isItp7;oITl$48x7#kZ$rKE&iv8_gPcXt=|*fVe7tSYm3
zb1H%SJ)OSj=zhn)eRepl^X_6H;mO=uNmFsc^KlMINro3qXD$sD-pWmBR1_4me~)){
zy#7qqI9{`GO@8(2)d;cK^Q2tHJ9p|j4s|&x$tfvEYI^?u^@>eMn9zFc<Rn1J`N&V_
zi8sZS+qPe-?dMA^hd)}D6y$GK?$0VXpKrYIZ7Zsp3Nfg2nJw`><DmCk=c6XT+FKhX
zRu$V0?C~hcjo=U;&DUUsdB*<p=MUo7-L0gQEJRo}>45*IW+{#1{OiL(7fin&Kh$I6
z<Hrjd%B(C-&mk}ZgBg6NP0MRWMhy#|YhQ!q+oNrgkBg5VnLxv^3zr(S7Gh#y!8$)b
z-#R$xfT0-)(4rx4-n>~JE}(k(^5x9t=8H2U)kI#jva&L*@#X$Z42kn26XdR?CA)3o
zv8mJgPtwN5#@C^t<$v5DE@Th?{30bM4^&ANWn^Q+ZO$oCG&D4PRO`exUTKB><jE5P
znp>DMGBQFF>w|g34h{}>n+=C^Fy+_?r(Ok4TM%LSi0koQT%r<-zVF%o$V$?QZ2|G;
zRWXO(I4+x0;qJSO_wovAS4N5rLLs1bLYxh3t_q5~t`4zPSPWu4$R>UI^r^7@9Hy~}
z$@XIMi@7#p$uC>8ZB`py@A%DT78iqt3v{wI@>B?gD(s6YhrCe>-7!{fW<%6I<oquC
zL3nE@Pa_Ue?Y4bgOkAAL^^d;Q9fMk@ma1tVeB@{@lm})cvcF#q^=*;j2h^ODij`+<
zA|f>kT=w?%I7CDbw6(PjgbKV}{!G$5=cRt6BQGzH*_@b2y|}Qz$Hw*s4Gk?UG?YpH
zU}GX-ZL}mW*P{FT_pH1;Rt<Ia>Zfg3Cr3x6_4O&t?-CQ`czAf?V`EFJs}tdPn8D|%
zZ^ozM<`oxD{Z;3>^yzt*+uRpi4^PkX($c7fg$4a;J4S3GI=N^ucz!fqcJ`15*>5{L
zJNFI`mmmzx%ax<8ryIpDlaUpkDagsqTzOG%-)<4pDUGCvx!;0q)|Hp;lXN)c$#Zsg
z=6<yGbj{OpwXR6w=SRoET;-t^rx9oE7zjLcqkH#Sv_>B$?Cb06D@7CF;myHPNJZ<H
z8DD~Za-esr{%}6yUO-}0RC9E6wCKhQtN{OgcMZaTmgba{6w%=yWQX3-PA)FFEk-jP
z;a65>XIlpIRAZR)R8qeuCMN1toh@{Eo$Zf`Jo`ox{d@F@Z;y779-n|fEc5Yvq~s^%
zWFdifO5NSv@9XOBNS?0qM?cfnrmS<_?1kf^VEjBbDd{_W;4O2y`y$PhT^k`>S~%!Z
zv^A(IIbg(VU0Btxq^MZl>v^)0Ct}o$=y6igi+jW-<?^wz2E$NoCO$v+@)A>2P*`4A
zcy3@1k)I-DLo4sFF<!a1zyJK+J+$x#Oz;aeWp9~ecaFB_o$T#rvt&Zu7Q1OIlR97<
zMqf<WvkP69kGOg#zEAuxrALTo`gLVKP7gM{n_r*ADJN=h5_|pk_jY&Z3w6uoewa?%
z?6+vAZf|c}4}YXkW{K%JVGmv$9zo6XWApJ<MVWAT#^OQIl78y@<u^7?e_u$&Ff%bR
zxx@XV3TcxLICo(IvkD40VCd9TR9|6LqKk`*Ioa9g=GsGPC@5s2z2?JjQ<IRW<;2%G
zE;+z<9zMu}leAQ;K-+6IKW}+urIX*Rcc{jf!V<5?YG=RR<ZHz8R70J!C^Iu=O-)Vz
ziqp~FpeiW|i63kNPQ!X?6%`c(xqbU~7=t8zvXIToG3$<auE)I3zmp?(_4H`N9x!<v
z{s}j1@W|9DF?>{RN*JrYJdlkoaWsQr{j(G;Rn%EZP7dd@&4hMN+V|U!?Oa`D-Q8<?
zgi5rntvL<d7bxmaRtt`10*IqxV*_CqUeVRn6*~QwLjfYMwLO$-`<LsqR>4Bk#TgHr
zvuZZ$>y~RDx;%=N4MyBIry4da%gZeCPkmmYK0NKU8}4kL`BJ=#fQTrlsY$Z&;@oq6
zyb}NLmn*}`-b%px_sr`*%P>euNfB;?98y|Zy@dwYvPT<L(}ja^hk20Fj86|X)D#Q`
zV^jpE7QWG&^`*V)eD>0?1RMFg)keHLUdf@Zp+QPT75w}6v%tVW1VP8ZDB4WE^&BrN
zE6eWU?6B?EuU{T!HzXw`kB*M6F)_8(M)#$Ohr-^Tfibqtv;^?k&q@DYTr?j0^xW<D
zTUlPqp_^89abHi_rM_q<k1DhiCCA4H!Cs>M*NK1_3V;&?CNYTdevqc_0W9}JJv}{}
zyoyRf>*0rw9z9y~DDFD>u<88AoXdN9bFzm2d^^(DXrxfL`s`q0c7EPbt1ImF>$}Fr
z*L_Y_SSMX3Y^v9a>q<?&5}|Sqhjt-?RM<>VdLFFj?=*(&d*9&Z=Kfi3MlA7n>%Q2*
zPZMfBW6bf-HmAX-UOg(9S_C)@qE0x;w_kL8d2{(~S{l)d7cVd`T|z@XTaUf0s1R7|
zAi&2DNKU?z=CvcQlqNP-+aeoA?f>#6`j@X?1DJ2!x<x`t>c77>$^@DF?c2BC`ub$+
zTsGi`59f8qzFSw~A|4G>qUJ;hEJj<c^O|J}mfz&0{<G)L896xcCqCP>1>#=rZ}j#g
zpcVM`&(@-+r+0&6WxMyzrqS+V5AQprn>;*USBDGA92OM1)5Poano2%L6d3d!6z(o&
z<or2}>q!y0oO;K#19p<bFlvID>oyxh&(BWV+S@NdvT6&V;OH+mQ(bHM20<9k;QN;}
z-TQ#XPtk0q>1YmLDMffY#98FdooqO>5=9(YV4y)?={*ZaoSn6bO_j<YSJ}c%GawF~
zMX$1|rgiV^I3y{t1igAy24a8!2WRHJe2lP32Z76Se~akNJ7&Ff=rd&|Uq4n{VPH@t
zCMI@S`SHr5Aq^7Rb6s7U9#ej7LRx7mDyoCc>2!a8fBi-;k<N?oHO;WysNZm_qah8|
zG3yv+7^r=1U7aJGXv{p}ag%QI;Ug~Wsybm7+CH$%@gVpXx97hWmE`AduB@yG9%OzN
z6;z%F-LvxNj|$wswzl?1Utc6__)m>ZJBj}sQxl1~MUDDCpFS4TP9&NtP8@cAG)bZ$
zx+*GdW@fgQnA^}LKpXDl?7YBHQZE(F$;FieC-@Vu?RNGq-3oKk)YMcOYHC#0gQ#j7
ziIIl=7Q)wq2RY2i!C{W-iPyt5mm;+ntS{NSy1VP=h#>9fvok~#7IIo9J&4x-^bEJH
zt*zvzVY_bg6W_DS?_SD-M_oKkTd<=>Tvk8k3d!r;U)1}E(p_-UGV7|Vx84sX+Wy@c
z<E)3Rqw$qNx9?!Doj#mRfFs7cX*OP0O|ALt^pKy2XHzfsQ8pH?vL`t?xg8uTuqjxp
zY=7x(c3tkdZ$hZ-`K@tUU}$Y@w*Z3GU$@+Jc0iV)J(16ZPAiCnQ03q(cOxl9yor{P
zk#V?qoGR-^ly{Rw%;Pp(#=xu00<TC~iO7<qaGnO!eiewM6ZsM4j5A>V%+%Cyd($8^
zK4+)>Fis0!IaTG5qf`0Qps-5($VgT8_bwg0gXzGsOK>PRjhO5vTb`5(XyxRk*6%fP
z+V2c0MHJ`cGwN<UAol%Bbvl=noYp*s&}-x2r+RItFPz1#ueaKEom|Dy(saDHaA)3V
zx+S7GuO_PBI?&XsLz`0E=h6(uEB+9-1us%<n=tkLU0Gl0@*TtJSjl_&!qNB9?ygkS
znGh3{Zc=JxJs?X8*K|Tp$0{Yk%m}#j#T_Y0usmuy!Wph_lnjv!%kbD72{4JB!^b>9
z69^Dxy?IWZJYE&~GCDKON?NM??Mbr#D9H57ch^GP@p$jIyhq!#Fs(m1|MhWElAK8|
z&^@ErdwQtOxmgnDKwFIxQ9&{g%aD0`m6Z#5t{$8_a^^zDgO`u9BHYpv(n~dX{rf+Z
zhBaR)ko|Zf#&?}Ildwfrzqc+{`MpYV-UoDnmkL@nfod3bJ4%+*hPxT-b$RKf@>1ob
z$=ei<ttg+7RTl>(B*wl(FEt!2H5xW|E@WK0O!z|i8)Kw;0~=Oz`FqPeZttK1--vvH
zoTIzemQ5Yo!QYZeYpNSaA4}+`VsE{;IplPpuiE<VOL|;u-vF+@<UaoA7vE@Q+OB<w
zKfJSL{jOXDzghC$LJ7CGPYHFRrr0mht>3v=JQbH<0e*ARQU;U`?c5S4Cx5-;_bkOG
zs#Q8bT}@N-D~@5FK<Y+c5xSEmkBm*&N1G;6oqI5WkFRDrpw*kqn_pHdMSf~(hFR<`
zb{=UtQY4SRD1RA}m6fYDPs||4%Tcg@d?8?N&-FUc^s-Tz5$U7(;4fKzTn74E%^f#y
z$Wr#`!{hX1obcn0lq#yB@$^kl*xD|S>*3+{u*{s*X$kos`hAp5u6L?<YJY3K(tTDz
zf|)BYxt$G7tw~=L`;njsZi<b@;(@;jyA=(yKr#+{{lV$G9mT;w8MJitqwnj1C0Uo<
zk}<k26F$>z!YEQm?RlKJjQx@I-j?r^VGFda$PY{{3q)L>-o^A=U)PS*Y_e>|R%jt;
zMmJKV(or(cne{=JN62mnCszqF28)poFCn(MbEP!cr;YMg8JLGRpNMMuhw2RA$&QXq
z%9{%@_EOe=B*nu^cXDof?>_szo>?l6f@;=>#1run;d+}HQLLfwX(dJE9xJLVflX34
zXwim>DkelM<;R7jn%C<g3r&4t8y&a&07aVvc%Y~S($)9qxz6@2U%s0pUdh&Uf5_K?
zar8izxx;#XgNRc@-(;j&vtB-LFsPl5dP`$r$?W|>Xs}B1vh9ziwGXt9$&O{z_-{SM
zFsQFDMQc{ec{&t=Q`t8l_(t;22HNSwT2JrVhr#m`JB5pE*pN9e4W>TCy^#pPsK8`{
zsFe5oa#EnV3XCN4drSUnPwg=6Iy!?GlAc$Aru>5Q$o{y9m$Y#pW**6CL<){&Zv3H6
z?(Pzwf3r5bmxQ?gY(%mA>&3fL<unu2Ih^e>ZY0flct>I^Z+#t{l(S4X_axREJU+Da
z3^?OVz<1PyKm4w)85m4n_UelnSxWd|$en`|;Wgza$$eFZbIW>xHe^X$5IN69o`f~s
zeaio)FRRKiG24plVpnCeZHm)T8MA++b8P2h_8RGDdGpUCSF&Ssmc??Vp7N7_R#BZX
zfZ^!lDK$*(-9VExW99Pl*zpsP9c8wTDPQ914kUEi*=e=R;iYeG;CS${gw8-iv2t}}
z$i=k11g%2bbZP5nTU82b;4UzXez@Fn<CPZXd7%dN#gyEBO}3S#g%5G}RivKw7O(5Z
zxS%|n79}O+=bGG6ul-@2BFH#T9GsoKU1pm7ZxBAz(YXGk?{Nk^vO^=z;Jw1p*UAHL
z=wQC}XhY{Tk)o7T&ik}SIF7s)r&E}sseeRshD@G6e_l+erKxc}b4&_O$$0K*6H!0s
zs2OWJzI^ZL{+jq-LgL3l$-X{gM!dqCzv@OCj6Fb}6hn<opU@QXe!R>?w(5IH(R#B#
zMv*mVHlcjyOVQ|(C9bRa#$?+>{wvHZg|tPVMQh*3+kTC>>JNHb7Wsmfh|wJIyD3hc
z5{bmHd#G^s<k6#_(`ZIelDMup)ecwhRrNNY)q`9cV+Ga839PAJCvUI;znSVTo}WG<
z8w^?542pGcLFLC7Gakruh5Q`XDfcCOxN?2@_wQKwA9uvW>Pu%w@6NMa)Kxes*tg65
zC2Us6Ddl7FKNPKHMnmi_^(X%hSIC!*RaeDWE*f3KK*Cs#KeQN`*Fo8!BARN;)VTr)
z)@E~kee!BEH9)F&o`-*&M^~KI<QkvfdN<CNb57h$jqp+vj9Mfei1<a8)cvXb+}qn*
z6_rvCmp%&KuYLop%1>Qigp5D4^ks9<vh>u_ax`W}tOuW%n3!tbpf?u6JWV5D-anRk
zKiKC|Gte|!I~SKUoNKINVt*YGYB9Gh8e|O#<Kp5vyX@DxwYBxCEtpu60pb9w`6&X~
z^AO#R@wmissW%@qc*^OS_dH$yFpG?ohJF^gPDFDy<`l;ETg<%qmHiWIL~Zp4VV<D!
z9m5riXeV@%yE~^{Qy#Q;v2%v(kZHq%$-}0mV-IAMEyo9xj`-^8st0-VeP*kZg1kA`
z-U#ly0@oGnDUJ`9rAfX7txOy*X=M*n$|ekJo=tN}g3S43t=`;LmVZVxaeCg`D)rd6
zt#QsvI!)d3+w;DCw5ZI%l@R$Uw=u^mbl#gez0uvo`1ordW3MA#ryEs1KzhdISsupG
zS%iG#_SQ<zdF>k4+L5@C@_RWtDeF**$l1l=(>i+p1C8#Yk_GdmgG+u>AggIH5SZ+J
zG`lKw%LesTe&jX{LC`jHT#FGkUIvN)k@+1K8`QDHXadYI=rP?DioU#7FtR8mrJ<Qe
zt`pX3qUn~5$MAr43r#j*D7KKcv<W}82MaM}KVO-RJ#QKw{nXmlMjYiu+q?+6HWg&I
zq|B{*gB60Pkn@Rl1mNkt+jCo2AwQ0J6zwj=GFy&jh5G8R7mdd(zpRDQuN|AfIL~#T
zR0>f!biVySlb>~Yn+J(hpXDid@X-yv^=A=$Yv|bAGephS;nQCW(;b^J!ZLjzuMgOU
z0dwX30*JW8E?EUn>cTv+^!xW;Itq&C`G56|jkAJ7L%YI}PoN(8uVjtnsz_=4bXgJY
zy^Z_VfK)>#Oxx<Jfx1a$;k18oh$Sn+M6u~1oa37Yr`%|ompIjDwswl_p?Nj8RJ_fv
z)=T6t8tNVl=Zq8dkan^}DIDak68Z&c>Rm@CbOt9UuJ8d*Zw=cg9utR+5ykg$23||E
z+TC+P?-{&&6qRj7D)pL$QS>d3ENeeq>bEB0T1v)1bFy4kJ0B->uE8qDkN<XwKaUKn
z8fZFMI)hLWDFIx*2@xJqe?6t^7pu#9w5{LIJMV4oE5F-V77d*Lc0+cKSeH+)2V;x#
zO;vW)?hD8)5?pJp83{6jG>G(B-B<gX0(blynQZ5!aoIywNZPB`ABmW~PEO+cPoH1>
zz9v(N(VS1#U@=s9S-cC<jUB<UOjNaL)@5PrW+|jxJ3?LYszG1nr%%2PQ8I%Yn0B?A
zFKETrPA5W97t`S?+bb(i_vXd6T4}mj56e}48QA~(5Y*>#&Igy5>^=Fz?E?eTMBFY;
z%B^M00_}oSsoyTJ=bUA_4f*uWCI<HPi>4!aT``1B*&Ra@-I;$bLlT_tOw6rb)Q-@6
zadU=^oijpZ#w4P6>0?cND&rQz?ebl7TqQ>7hUCUn)xSPh^YpWr0!f@nQ@?%9zWi-@
z!)s)q5{FSbhF9Fb+*figWesu}NtS#fOsLPrLce1~F^ZoD!iB;xt9vdIo6CCao`)kt
zkEd3=e@+ZIzs|kan-+>y?ogqZOHS|K`Zp1?L!_1-af55lMP&lY72UJ(90uIv%|oy%
zjo<63%sfTk&ANQ_lF3SUWb^Kmt5F~PHuuxoZ&_bkmFBjkA|g$Nqp<4(ukWzjzWRNh
zi-tzFGr9d7^~ue3EdiJD;;kP+#rFi1$&y;1=DskiP=7>ZH1Pf5>boGlKM+tSq(^wo
z5)C>7!njILiE))@)dt?A5Y34TsM&FEI@(=x8h25<5l8765mQHj>j^Vw_aTmHnEmD#
zbT@WU|B~TT^i)m^WZhchkEk}fhCZRl59{l|FpmS(SBYdtA3pK9<w__wIQ~TP`*HJa
zZqXj~^scN+3L^gdH3YJF#Kh?{%d|=SX0lY*Rv)lA2Nx8qxj`K#o1o6q`tW6@FyW=?
zGE_Oj&cSj2;oHg8@<x<212hc8)WwM=>#eBg0jJOTv6*bbz&Z@>f7-5)GspW6<x)?7
zXACPJRK&6gvm~e{!ET>q<UqD86DKDDFf3^gkJ|lXK+-0V18=gi<tHpGEi61m{ez=!
z&m<d&BNI0_5sJt+dY_iMZO?h=7Mlx`CH1JexCj9lnP0wjUOF>lL`@JR+I0TyEmQUW
z$m254LtE(w4~!?P?T?O^(n;y)!XTGG-h03_<*~+P^})aj1c98qynn6*;s?~1nU!@u
z=!)%KLqqxqdT~9TE($6A4uFt<SMt&yQNeKvbe2^<P0}|F`UpB+25_CAa)Cy290fUf
zzj2vn@{6)ZM-wlahL0r5$GU;Yi&l*R)nH*}9;zw6vsoVl_2%$+&2H}<5$m74(NHt8
zplKFl=Q=+vP_5igU=DcsvfAg&Be^8s!aMqzygV+jLF>jQDHRnWLah7cXYL<JT*__>
zczb)(T)nCc9FILm*k%0@B^6Z+Gmv6xa&l>)_RwjHh?G1RmUsAjv>o>5P1$FYTkn3t
zIBdr&-Y~z5j&6mC0-#V1oWtw<c&X^#?hi$tGU!k3?d%wXY^gEpqmTam<}xdaFy2s%
z@1K}R7EO%^z$RXVHM05a-o;g=#wMeqqf>0yki>j^vR1OI>U$DX+4y}>@@(%i8n2*W
z<@m|BZ{KEsa>;2E_au$HDv}uU;O62AFM3>MYH!cCS--0yDk3s4I2d#BcS*9ww1;*I
z&ioM}%T-SR#0CZiHI~Edz}M}7899&tfr?wx_=P#Tk&+U@?#@nPZ0r|5Kcu6*{Vg+G
z&;{`6v1CSCTAGr){A>{6mF4;QHo!B{&w!CN)Ym@(crZ6-3}D8er+y2aN58rmdSlR|
zNbQQ}nnyk9#zqe$@c4uT$Jy3bbi#JmIu$c<{T@Di2oOX`MI{%gk0j8uWSi*WNCBAZ
zqmC;t^zA+VVeR8q4({e772K9<8a8J|N5t$mZ@z|x2d=zBdk956Ks$LL#vGP(0_G&}
z+23*+uM6x2GvCF>o2DKDp>=HbL#ueiDdw?vQ&73w=NquOuA?J2Xeab{b#>8d{@+0D
zAMA_{CwmrFT%hh29Q(x0%9VdKmMr}TVm+!wr2KfTRXct4$Mm?=pf(I}vcc0e^~4Zr
z)TiIxWSD;Ze+iW70kN(%0d0L~XlPrm?0M<ZrCC6uM}O)zKZ+ktUz}6nQ*t7@f~wX<
z_>a9mD*9S!Bs793o|qcGM(a1Z@ZlZmSW;rSyyqc~%s>z2?r5>W+oYtB>S|%w*i690
z5fW-@bMNU`HVqOAidUzbO$^YVqZW0#>8F^vG(R5@7Dlj!eG0g!+HMxz=XB#X0lgUY
zWmXkwTU&16<Uz9Z?wHVZ`t-SA@NDy9DP-%@aBhRg{^})FRaNVW&xH4b2=aF(|KYh@
zVK%6NvU744RyI}E#CuZ_Dn<w-vz3ooH?V9$Tli<aJ3os`%4>*3H&0Kdn>TTg(&t^2
z?{ji=132Maw6(Q$+v#NGbKiMp^)sBB4;^OYbz~&A{Ih4zu3f*54h<<;1qHn8OiXXn
z(<5Cr#u=|)Z}sR5=lVR3i8L5KSvZgShqo3BZ_Lj6LvQ9PY&#;M7gGc=oq@1D3Jn`*
zIdqD@z!Mj6O^?);4(AnYl!$v%N&UTd5Mkl6HWChO9S*%bmArWXZ@PwtDlwg3N=tcB
zXAF?`6afn|v+l$es84wL`D2(x{x6uPdmLY52%ls$>R#y{p|TST2trYb@&c@~!FKx%
zT_hD~CxfJoXBL4L-_*bGPww;)fpAC|c>pC1^!1llR~1n4Gv@ng6}YA|P;5h!e+ldk
z0h|4X+^#H3CKJ>VqH3-k|L$EU;CRbj)l^Zfh5PT~;+{8nnRiCtARs1gGWMh}Yldd#
zDElrjRGy~4t#Is(dvBO2+eB9cC5tO4D7Y>6Gp32Te^RL&s^GTXUy0nSy7kz*DgpZT
zar!pq<JlP*exO^QLz|$+d2PhQAif$<#Fd~h3%mk|u<j&5{78wDn;l^^^UDr_=CQxm
zYfABOaqmGnk=;d-^)QC%f3N|VBq_^548j^OEZ?FfL@&L-PLTS`N0y`v8DCj>P)M{k
zqT^ZBjb}qfOAMEt-|L%#eEQs-ENkF|&Y#uv`<m?Nbv;U&L2~6EC9X!ie%$@M0|S+>
z<DqI2kPk`RJC$VZ<5vrMCmry%pIo^&3}Yz94MFa@nZ+3=1}KsNf66s?a3f+ub3;R%
zcpsk8XGjSkxXJ^+quda@T*b@%R(O|LtTXBYy2!W!;aYVRl%(aQ^lLOuyRQGZs^b?C
zr((r5vZO5effRclWc2$kdB)qsxr}IOe5OpcByw~O#5|$L5sQRxxLGJ7U!j5-uI)Tp
zTiOdEYNMEOdX?u~t3Ek8BlCt*7RF4&BF=KR&e#YYuOE$A$WA`%QZ$Sk%Yum<mzA9$
z{5a{H@KLn6KeK>L4DXqu3nnkg_eF^U3rcB0P35fTsB2$dKPS-YN}VB3A>UHNh-22f
z36CQ{l6{ZbUx8RETS`7>1wRBQY^<Y~s7MQkkv4l7)4>CMVXfL+&EfsOn=<}el><;1
z`#<$?{QtS!!3nMPGjv9<IC6X(oUVpHln}SSsxXt)9l@Q$=fNf>=9QKmY95ht)xhsV
za&z<D>e^b-T7m)06k+>TeM7@P%eRua04TP8{fZ4;nF#Lt0%#T%7L>B1{VD&s`un}^
z&hNPMTb}drXM&QZ^V)1h3pF^zL0?T#q(i@nejGaU%@kVCt?E)Fed&1`kFFbf?`u`V
zp3V?`N(`#j^iz3x8E6C9gzex<*w}4GyhF$Pn@txIM0CP_Q2%RsMiqWlSnC*Z;rmw)
ziJG?dNVC?P0!G=So<|QKlFDVl7936kP(tVB<&_cZEs4j$$r+fCK;=~X@nRZmE9GW=
zS>C4yI$r7R#`o;)w<#iziib>nd;qQ8J<SZJZw;g2xAZnpt{fT(PC6k%Ov`ClVmdwE
zKLQU;`IuL`m6eT6LM^wdaD;WZ>9_yAMI(|m%?%ylecFoorK3aJA{&^?(b0S)8j_!%
zUwyooJOGU8=;Y)&H+QcG=560|FQ?6^tM~5RTOP{43>|tz|3qPRVc}JdVnP;_=Ue;x
z?NN;Pfi^!Y?~(96xyH(hjdBG{`CfP<&CuoM1*K`_ouE3J`&rL&HK0gTHBAf`q$A3~
z0Y(MCk`kUY=x&Q0PCA0C<N?@ywhx;w8dN57ZarSp!+98r3Y;qhShV2}Mr730$<TON
zSc1Thqokl<eD^LgKQ|{A4b!)9vcHyZL0kUm6G}A3#**9qEcKU=kl^IuVU=fLVfoS3
z6?)^w4Nh)uQ=nN#t@u1!t*`KvR8>)2tHyflR+_N=%c-d;NPN%S-9@Ol^}qRJU`I2n
zrU>6d!a_o_pvB_ga0|>1$Fso<<IonHsCv;C7>H@rME0+0Y)JSjH8p5XxyHXcU0U>4
zgseYQQa<+nP_&7lI?}gp-%eog+CoFK>rUkB?(CdRc;X|EbocaB))?I4=g0Mf>{?lz
zP>a$V3WQi~V!;~~Qo=umgG}}GlANc&j?jaKfdwjm3p(OM0^uSeA_CL|koCFd=jWk0
zB?T3fm0Ej8hXVvPb7!U1=#SCS1h^>(Ncfd<$CX<)g06G^Yvf>i`>Rk&t~v0ye6XNZ
zR8%a$99|jBE2<3pul9oy@}x>!0)pRw8AWWyE7&7pwMX<qQTC4Vtez0()bw;!WU|q_
z&Y1=piqk%)MLiqpA_7*Ad7K$Db(@|kmD8;LEMuy5-Ly?5!o_WoW$?yKRS8y=JR=9w
zhme!#Roj{cN?{QZGz1K2ygq;3tj8;GQ9V+SIa|;TLqmT2_yP8!0dO&}ch#W6GFz6|
zYpVs@4bTs&ki*2rHaY)$Ont|taNpU-$7jU1uC6Y-zJAg)S!a#M_gJyWBuVFEyEenB
zx>-B*hw|N=NDat{MSW~JMrDsO23IU6x#NbvdXSFB0}6LKSl0y`(el0r(o8J**AKG&
zbwNQ2aOudYs5}7AfuEwQ>PM7OL0U#;_WX1+7|w_wqN{i_>iz%p<vr$>{|}Vg<6~(o
zUxwuJVN>r~b*|4RMg=O$gC8s1MYL%{3oYt27eDM@UsX}T6ub}n9Q*@V2;G0)8^^x$
z-$^y<u>V7;M$7W~r{!g2&!b_VnGiu)@L=;5*wa>%b3=Ez@ZiISIz1|WRXm3(4Aymd
zq+aXk_avG^CzG0#^q#M;@2ZoiN}AX^a1(*W23qte>IQz1X89Nvdr%ka;Q!+1=a-Lm
zT<m5<=wYE0>OlVQZEYDPa2tFWT@!I$)r^me8?Y8~?9aFdu9&A6=V#E={kG7RphF{D
zNX@|93HRF0&rAC>#v%`1vUw+0*CjBA!9ACH7s78(ncFPwtU$^@ubwl34+~k94P!rc
zHk>krqZe%p>;xl+tNR{*rWz&|UGl|pbtgRX@j-@gB{gK~>O%SJ=-}|NN78vUb{|6_
z8q6ZFv6yR~b&`SW@<~}kNO^D5`H5BBaZ>I!Y}eVA0PLcTAuW(%&%oCMt{a05gQ9WN
z8hQ>_7!(ihK*A3_kd+#whkZ9$=gI>}y%P$~k+o0KXVLwIPj2P1AqWi(O`@O`CB66F
zLpa(y1{R=w+d1ZlHuGbF2fEjg-(EjZjrjLI?>{L$%tDCt`1p9IfaD=-Qm%+dZP22U
zRQVfW_nr6Iisnw=GlTJ!BDk~pqWdaIvTBzxi_f7=DpE@{@abD(u6cB>uYxL>FE`IC
zeNA@SSkOq(u^fLi@cv-t0yP}?BxfGN@}~J2qKU_pb$NMy*+aUE5rk0+O?p|;^*`tt
zZY%apfH1j&QA&)n_jT*0ue1i50x7Y`=j#K}s87qTY-P;l{AA9^CJLZG2}`9jNHB+<
zo=nUwuD1qqf$C>3rnUUW#%O$9o*85<0H;?DiEu;wa=t6I>Z1ADE6HT#pu}I#eYNVp
zW-syZ7|Wh)VFhb4>yd*pde$xXj0d^xPm$;U@#bg>?>64<tLj|T-JjMt*_bLz3b`^a
zaMXVA1=+UJzjY1qR#xSBwU%AAJ%UvzS8*4m{1W58soiucKfa!&FY;9V-!vDq@b(Y4
z9Ccn@20vZ2MTOmz{Mi=w-J7SCA8tELi-ROv!sTSWxUI<6eQirn;JucQMaSI=Y`a{4
z4sxm29bBURDQV3&Wk(tHD357D^!{U({r@Ah{uj>O|8X!V^j2I1HR=(O@?foSZA8#r
zN8Jd~<DMcY^+A>0tA`wZh0Y)V`pYf?%AQhef>Q&|0+^M~l!zEc4xNF*{kQ$rn5ed*
zkj?ltUf%wJ=dZ1p!TSofJO?M5Iai4E|LtVxI}E*C0OJy5;OdL>)2jv{_fte1v4C^o
z5E9D3IrCBciN1aq)Tf{bv%vmhXK#;&ctK4HJ%Osm;yJRCE}mV06<5L@%u^(IgS9OK
zylJDQx3e<8y*0(x*3=9HX&_P?CTTrY?+&Oc@z>@=nF%(a$~P!IIPM4=w1vM<EC4pC
z@yd@Jx0Rd(H8nK^`Ptxk8>C<6pux!zoum)l#mQ(>DWI{aiqB=Pn}#V8-n4-3hUv3b
zqM4M@keggwm*hb<>UjPERbdX6yx7#H`Wo<sPX78;&=AQS5*j+Yu;AQ&Xps~InT><~
zjX{17=*MPjp$V<z&S$M4Hh8^`>`?A9xUrqH^Cbif!Sj+A$Hb_E0<vA(vs+Jr4aq4e
zw1QOxLBMPB71ajZNQJ?`t)wIA#rvCleb@fp`BRMnD4?uBXrLOpsCJa0m#jt#Tfm9*
zR492MPn7}X1_rO6F!*F8PL`Rd!yha=i3SD*8Mg-FKKg7;qgQG93Y)=;q&X)F<$L6_
z_`$rlF+l|f*P{jxK?g_2%+WPIr)4#On^J7A`Xn#tKmu@a8`k51ume?@B^ycqt*58`
z<t2Q(Y45|QkXHbz-ZL_~c7A@?)Yj8e)FDI#E@wbu^#CIi!BL7uME4r1T{6%pEl_b2
zA;Y<7*B}Fr8n|Bl({O0WeB%Zq{L^*P9vitPE`AjX0ieNH2xM%SoB5w*CL{gz`XC5v
zomO5#BPdtFJY-Q;s{B<Qpp;m3w~fltsMOT(I1Zibe0-$9L63gNsFHve+~@2BWzlxq
zZl?kRUkFSRlY|64vDg*@HM-s2@<UjLY}d`Hn;aZ%KXMfLz-AgoCqf41VH7t6Gh6`J
z6`umNbX$ninVFk=34uk6^0GlFBl@D_;^42P<ko+^zHZHFP)iQtQz~7;+tQjJc(SVa
zK6$Q6swH6!SfI5;$Qrz8tM`VF4<=p&mzVRS9EK3Sy7!?%NCW6_yRd`{h&Y(30Wg|6
z8em<zgi4rNi)SF;Z*p@N-|Cy5W;i?9FLzXY(;?L%aOpuLJt6qMFtM<*d@s&X%Pn^u
z4BT)@z<~J|Ffz}suZO|Fz<AhfTs8y365+mDxerV2(LfKl5u@9bAHEAK8rq<M2r=xo
zX6{8vgFFT>j*&g^nw06m%p2CU59(cD1}|ha1n=V8)Kr`D9u8b0q7IakI;FR-?<;uF
zNNC}03~F8@1T3yWt*xz=HdkR+K`jRQzeG^e>IW1ZYr<xi;HDr5*(1B|YYK2VydP_=
z1nV?-Y%5h<!6FTYWj}R1)WCp5T*@IAb^T*ah}mEm35$q|j@wgiOhoizuR|uvL6l?`
z77_rVDfyHFU)tK&M-0ZdO8Tb&VbNgyQGmXvq(H1Ue{>DD1yE%{b`_t7gK;Z_JG?CV
z3j_k6@fRE<A;M#{=y5R0tp}gN!N)IfR=N#E4$vp9#m+?2U8c;jRtgG=7UQz!&Q4rp
z3tj|3RjROAe%3m3q<J6cI>FG9tx3l|-DxTaF;F*;BYA<fBM1Ov)YKM~G+GkAgWV7t
z7l#T)l;;(TfEu+wKvH6ZXhIccMH|{gxgq=mpU3NIf$zvXd&X>Aw;{AvU($GjhazpT
z9vK$2@tnHofX3_hekgA3?G;ukmyd<PSz!YHT^+3$bJ5>x?)Z5Yv@YvE(U5Q5-Csb|
z@PV-z3Iw7ey-F##5gLL`OfPL{m?rqmwt5x|wwU!~HECvM<_K@yN^Y{<_MFW6bQ1$J
z3i|<`za}C=1HL~u=qcOJwqA1c@R$QLeX+wE6=jt55<CcSJXSVJaB=mVOfC$5jb!)=
zeqvtONZ=kEIiUt9{pr)EsCVz)zydMy^Itxk_LbzM#K*(ON10I<toFgT3x9hJhEFh`
zlR@qB5)7=+BrX^-1XuaSn!BxS@h`JenR%$Xxl*8_L`4~DR@&R!t2aJR@Vado-OMR<
zTv8F+?dFFp(y~ALBof@OGjP;AP*Wp;k||)qwvG^d7DsDOE-Y<IAm-ebGlNTAHuS8=
zK3#&h5FjVDLr6nUJt`{7PsDLC1BQ#T{zJhg0dtfrI1XwW%FtkVYoHD4Z~+1GU}A<2
zR5<~a8*(>p1>R^OYH4X1j-Usnj0e0BCAuL7V19~(==y6M&Azm^qai}Jldr?C+(t+K
z{{7oupu;oiefVnxe}=;g&SI3Ix?q20%q+d=K+8~okZUo1luO3idi}wR7n|D$Q-Rf`
zr6e%r!>zyJl@l;XR~ho_!rYA%J-*L&DWJs<aH95|cNqGj^C_vRgitgB`+d9=BMm(s
zVArS}HCmZ2Sc%*0fjhXsYMc}hl1#$$q)}g@B;1eA0uM=0!7+GKQu3m5)S%vtbZl(w
zXN@B(i&COp`=M3}T2qSp_mjA3L%6|RpXi&kO1q~obcgET^_IdXP4w_O4h}A^y_1NP
zz)g`K<SuJqEne(RU0c2tXomwofVYhPqgJ_<J4S%|5~xO;KvU4Z#h<-Gh1+BL0DK&*
ow`(c>?X9VQd4CEM`RjXjwMp*NJMKkzy$g|-QIRf|GJ5%603tKBW&i*H

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map
new file mode 100644
index 0000000..3933e10
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::A2DE" name="bayesnet::A2DE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="30,226,148,252"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5
new file mode 100644
index 0000000..2430de2
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5
@@ -0,0 +1 @@
+2a4c640dc60ff5b335609cbf09ecb998
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..71e485d88a99575ca14d23e1460349412472bee0
GIT binary patch
literal 9888
zcmc(lbyQXFy6-2_(xQ~4fCT~q(kTiqML_8W>F!WcLQq0j(y5@LbceJkASI1-NvCvk
zp7q;%-?Q)7`<{FMxaVGF3}BAITywtf6QAe%eP1dm$dR0-JBuI)3F_XR$MC%nL9nn0
z@ZhJB^izEJhWF%w+#Tc;^Z#vi#v24-Mo@R8Ros(SMm<ziT}~uV<|N#GS)ZRd<0nYZ
zZ>@Bl`_Wi?_Y;Z7WB2elj)QY0mU@bL)q6FZ9gf03-Wu%I@}G&jOnE7N;oykii|;if
zPQt1-jRar6h&rqa2HUy9)LO|<apt6k?@nTcUXuMH4|XLEt9F-;#}ozDs)gwhX>y#u
zzJ}h|>O@9I-%9$eVs@UDK%52D{ZiOzHmX!#aH28no<cO6#c2-51M+7<zm<{4LwQT*
ze+v|u{d9E}_v^Hhd(F7wSUuYx!$J_w;>Y>PkD&1F*-OoS*MpgfGMO<K`iAYqRW&q%
zzkR!7Jy`giaeIrXkaPM&tlnaN$G`wJpJ`h;d)bYwtgJsLhik0d+++_QKBSTK7Mq%$
zzG>Ne6_L`_Wf=3^d}uvXOem7vv3i)7nfbLb?Bbse(Y3nvc9K|b{l;9~N^(ZVa0*sg
z<||k5xoh^)Mt7}RAErjOwzd|yt?7C6PN^6g8aB7IEOwQ`r~8vhNV&M&TK%%bHSa8v
zB<?}wG}~6Me|n%E)c<sKM0mvK^jOGsnI<hQE#JKB($U`ZYXTyohQT5;ECkOVi^+2x
zOG{gu;jxUB701TL26HPf!py}*T2WC^ez;osNL4j(bMB|8acwm^KAtu?I{JG`OGk&P
zloWz0%*_oiDJjvlRaaHLs~O`lVw;$dK&QnSqp);?iYQO7+H%{)v?%`8ty|)@PV=4b
z<P{ay9zDGL<|X1jEp$VxI9U0k{6cYcNsZe;Q0`)qu+!!Aw6rfel5VRyXk!bDYgo>U
zKKhIExw2?t5)u<f$HI1-Yz8^BwXLnGlT%UqK-rI$mM5mBro}RT%S%hGs#$7Xqoc`a
zHiyZtf!5~c%&3nU8GQWwQ8hI+TbrBHLnT%y^n(~qLmi!@?(iSRQ=RW*;u8|?quW|r
zjWjf9Ttpb~$r#%P^nG-N3G8Z*1?0l%QQX|zc(}NK_Wn$>{qXZU^X%C($HSeKt(~2Z
zvgwms3q6|Z>Sjgl9&6RHXtu8Q_OME~waX~m!NNc?$)o(o`iCY~(t7y@SgFqzubB*L
zjoWP3t0kYF?A8+c?(gp>hs&T)ggxEe_gqOG^_TK@bRIpTz$c;m_TmLzN0RUxE-tRE
zt*zg1_oix(-Hk{&#)VRD6B83>C#UK0lO4f>y}k8T?%L(vj9el9W`u^Cx+ydBx~Z8N
zpO8=-At52#kC&8Jc!h;EuZ{Keym|WcsXPkx?)7W3Fj-a<FDt9Ro}M0NF=b@1;opAa
zMZ5fhg2?aRztf99<ENyg)KpTEva_@6@9*z6=XczkZBG($x&C8G8n14C-kgpYZ+3Q;
zmzmi&)oUldUEoKD+3&3_=NgC^U9K`*VF7`drGdOTj=ZX`S5n;lu&}ViJa)1-=&ZcT
z`tY?~K7Rc8IKAttk!gFF^y&i!aoV}kH>&35S8MmCh|s^Uq<VhEXY$M+t|{&lvKius
zjU3;i9kg}3(VwSJrmwFrpC~}0D87BZyQhbxmG=Y|lvPB8?pZaX<mnOL$jFHO$<b3z
zjeNwkh&Dbx9`Wt%RpHdDqFG&C74qEU36*8-&($SDuWxVPm6s<bWfUVon_F9dYhv;V
zg$4Z9)Wl&^JXmN#Bqk=t^K`>lK3U|#+|SgqK~weFpQ*21mijey@enjKAqvf7-pL&C
z4W9Q5B5-J%MOM0KZDSKySt-i)xhIh-XVD7tYO7nuZGtvK0sEVC4Wpyg>NexeT+*ax
z&wicnN{^mdU$>v%erC>3M=#+?Q(s>n92{I%YBM}BHFXBDcXMk(vp<MPNH|+G7%CG)
zYPi2KgZQSUU7{hzlaJ%Unr;khD0i67hr)0V9dOgA(cou__&pS=KHsnbQ$~u5i%GZl
z4i7m_2Ns-p=)wesm$Uk^)Te*?obU<2BZ+(LFpG*_Wb)o)X=!P(-WgS6vhJg$qkHx7
z<7Lm&<K1M-{r$Pr0*7hYh~@m6JeMuwq{^N*H&b~GZ|4ma&wjM4#gZ~HVVA#5S*&#f
znShL-5q4zT*xZbai0~a5(Fq6&!bWc2z8y7iL%)W;tE)?+%KfIZNV4Nn%lJ5xgoMP^
zYu6r$=xS=dY;2U(seX2$CquER(4_V4z*1yfT<~0q2kC3^ow)8?+0E3vpQYGVSr0ud
z4$oY_e*N~{yMcW*!;AhoBFD$alM4$ki;MZ&;%=rl)Rfr_zle#6QP7Vo4S${^VrgYn
z$uO4^8kF8t6{g$K3_&qmYJ-hH#leG&{{|nYq@zO&p&sz!#TkT@K_mbcm|dsHwA~MO
zvOh;V=+`d|c3;Q<nTHQa&}g*OId*pT;Ly-Jj*h%gGs!Pp2(%i=t^fIxEHW~(#fDki
zx`YtX%Awlc-fr0u78c$++WeWrh3%`CC#R`N3kw|)6Z7K3gV-lf72^bK659Xv9^ztR
z`6jJYo?BgVLhkF#u&5BJu4`jqx|OajPuEIe`CXDc_-0A_VneDQrOV#r<wZkc^_ugC
zhJ}6TGJg+6EnBl_er~R5V#1*D+c*36gj>YK#F%1=;+2p{LEND<lCE54XYXog@Mo0`
zeXEu=^XdY}uc4v)MT2b?Js-RJ`l8=lQ8c}GkHBqpWN`A*`wt)PT3oq&`2~0FQDM6P
z%5i0=q<6u2q|A;9<#>FsT?Jbd<vPS&rn_9?LrlvX@LKXjh+D7fleJOK8q^ZC!%p4g
zLQbcK7bNg!&Mqz=5)&`NhDBG38#jei*YtP2aadh_@>5Med-T$Bc*CkzvAUL4%d1zf
z6qdMkzx2MFC@kciQ5)J>85TC{Na7l{s@$}nX^AFXGSQq>lsx{XoT0FNFjib5fVz%9
zmXf_)T`BP^^G%ia+ICw!A15d0au?0khwwz&xv{Meg4wtgJ<$r7p23DXWH?Um9~#m+
z+Uiks-x)OfGv={oSnr2RI-2^H6j%WFM+T$!-Xv-5;_qTXlIW<Yi9l+-y3L=G+_yPL
z_$x<B=0hNLf6vZ}Snc|?1eZCS{Tn1;s6lP6d9EY5GTMdU>%)cf#$mEffySA7d2X`e
znaXArCmeMCIthu%x*=NT{0ST#xs&0Pu^ld_$L#ux-VY{CgM|zIDcrTt>!C$UN|iOW
zL67G9Go8b+>?sg_ssQgJ(FL<BvG28}LYJkY$cgH3>Wpc9Y0L)FO)oW*vi)$U3!w5<
zyOiSMDsFk%Z<*PFHVKE2W#zJ6y81__G|C5$Z&4WIN4}&vBWr?d*sCPZO@9|>5NqsN
z2p#IHBcZ*j+I{=L0JHIDAy3*Eq=+-Iqht*(2m5lRY;brZd|x!UN7&%+Bc9U~juuZz
z%A*6u$2a^|ktvD7<edHIS|N<85fdgRZw?Ng?J)$$d^!82Q*J8M+AO=#v(7SDnlQy5
z-*D^(=R!EMpS4+GsD`;g;ZD_y{AS)Kb|w$q&fF}?PtV|+f5)E5RyR8*Nnw5yMYA#J
z`Qs#2#WCodnX#y2bivz7a%^9m^2!$SS_dmRg~J);TbJz5)};$(E9`BLOOEF2Rb{Bn
zORAahn5g0@e;I#VPW!}?<=^1kzwq6E%LQG@`9mo5WRadfQfzkI<~SSV&Pc^Quy|Qy
zRgruTy%h^6=3|$)vwX1MT*&!4g3aP(YHF%@;>v(&`u4!-zW7A%ZCh68ZH1gnh`k41
z#X}8^IM##<DpPP*S3BjlNL*ENX(|<I98D!$3S;RDcOw3Fq5iWp7boW(PtPj82lfez
zi<VU<2TSfpf0}Mu^>ZGrot|*N3JHmxTUuOPp9<kltEd=c`3p!xxNCy@`<Herxb<s7
z0|Id9h3pY1V!ujl5@mLlt}2i?K7A^@vpTxec5e9+CnvF{rl$DV$w-A$`RU1_!}712
zckbRb>`J@4_os=8f{N+|0QMP#7!O-wZvva$d<SywRaKQ(b0IMj91<d9Ys<A-b7-rg
zsycbJzezf1R~zwv12i3U`OG?uRa8_mTunQYepEQkq1hfhctH48nW4Y&t6J)pC2rJ<
z7cYR024@BO8{e=cCMFJ!j971O+Y}ZS#=#@3ELUmu#WEir960u6sye&5Ww4=i%I#S$
z($U>RFDxtolzzy|<32t*DtBGcLjQ(74Fr}^Y{VNc<UFqggo9?=+}NO@qLNKkXsY+e
z-`pP1S0_CgwySNAWR>e~Z4Hr@mKO6q5<(Teee0W&k}^``C0bow{kh9r$m_tlzpro5
zdJ~G$2R0Oj_*O?NQE2T_>&XT($?V<%@BQ)96G1E<Ny*wC_o%2So*Os9jOUoOFA`~c
z6>k4;N%GN9e*Z3%)-M$mf9!k?FM4@;?#;yN@64BH@%~pRNz1ROs5m<_bCaDt5ZX6C
zT^QSs&`{!MPoEZ4RK$~zkU+orebKI}9{M>IHMP^$e3!huys@-27QC6Jw)TVcuIBbc
zL8ryu&un@4v`Bh-x&;qSTw-FYuP@>aWmsUCO*A#Kr>AFswQ|k1A_)jROg6pO7C^C7
zfNFI6bLB~CGXHHEnf>q7`VnlB`@bn6u>9F9iq>pyDI^Mn!PdC#(9$9yuU<vD<W+5)
z&5)139rFDvj4{eFCTc1wJRBS$GB1b?A3r_^o4znJ^C7@&d$CWa!jT>2I9}tmwY_Zu
zeVzml8@>ke^nU`kZBBg;f#x*>Ft88EtrTNYT3qZbln)b|nx!U0g}%qitwbAib)ps<
zJG;X~-E;nUd4V!3CSz?Q!z@Md1v@wC(!SkNy4MV%{pmGj4tFAwy$^3(y-JWS_gXEc
zp`qd3z|y-ebNjt@LmYg3)=QVp0HgSagb*QhqoWKkwn$rAUT-ty!_di0Yb-Vb9nye@
zhR5(LPUuBJQVa)<ReP|Y&NYV8`eUe$ogEi?u8h08P<MB?NbmI8THcX<Mo+yt|B!W2
z8LVGdZ*Ra_?b=aeUaHRt?L|RboFAl1HerD|65H=<M;B1zSLEY5hYj;ZgQ^a51g~>&
z81lxy?X$!}G89uAn<H5xQ&V3<b$|wVNlc6$AwPF6t;!bgG&nrG5mxJ6&jOFfjx{pi
zKR-R~k4B#}$>-qU==$|5I7>b6$-&lwMyWOJ)-&;Ql$3u)oPJIgG%+d<^_ib+mW)ze
z)wbE`2dtg=C#rLT^^k!K&fq5hYe`}99Nj4s-C3?=6+RBN7D$Zthyg&TheRu|9^^ew
zP2Dg&eDU48cZe@=^Se)<?hy_E98IjQh6BK}2neVVPE<YJR8m&<fB&8>;tot=msnXN
zlafNAI6(!Qgn4m&b5q9H_`T!d4=Qb&GrnqBcfGu-3%wK+NF`2>Ho0Q|D`1<1@LVqT
z`RiG|R_yE!a_@V^v%aRg^$Hk~n1JA|Y`USfH7Cqs4=+=iwI|$_l$6B7$L9movg*$^
zG%#R>mqnrf{P}}ZM?}r#Y%X~1+Dk@8M*5pia7wgpsAp@`_xGzMw3}jLJ~uZvN$e@F
z%<bFdPIDckPK~9)Y$yQ0bx7&b!OJKR6=Fn^!(nt~Mdj+(rtFS5z3%P^YyG!i#%0_j
zT$odEm5Zx%C?jR7tP*~!(XPDvi=hu7?|-5*!?yslQQ8*6Wp;Cb(_gIfRyrD@In+h6
zV@={EkGCillSTTLJbL<v*goUr3MM2bKAml&rJ|zR`9x)fNescB@g3{!>M|9E-(#OX
zf1ZSa6~qb+Mq$TqlZTYc52D>}9HhN}kHcNHekR4|1T)mt4bBjhVP%Z}Cx2BEPYQH%
z|7`ZNXZ=V2vu~y!q)63fCMf-Ns~OFf%)B2ZKD@l<9VHj~oO8MiyX9<>ZtKb&^n1#V
zT<Q71a_1VR*pA&~-JqetZ5iUg@R*OC-&=`h5GDQB@9@*uLyD{(b2t>tN$I7;kr)v8
zvecgF+mizaU7{eWBdEh6@m^bg)+;Z6gWlNUtZuc~BV581gc%DjIh19XmA&amYl}f4
zDU#t^4`ppSo?FQc%5`(c`st2rRQsI>hC66-4y;+%EY5S}OT~UF3UHT+TCyHxM}J1&
zVG>1JZR0)myZ5(ss}<%&9b{dRA0&$ReM@^Nzahy1SFc39e|D)kT#EBbU2aOGZvIis
zfD=BsGLfiuysTtcKo+8t9h!TWgJnK%^FxcacKnx@e1*vtY@C5O+8G21&%c-DriuC!
z6jr0$Wz)84DD7F++j2M;6qr9!xfah_g%@ks(~iF8(A6QY+I)mMqCkmK0ED4$Xh^-q
z@_n}=UDv!M`O&sESGrW{s6V^YC%eU<C6oB0P$g*zrP)8R$iKkJfB%L2VSFz$6O&|o
za?8A(-meG)GQq_!T7e$!4g^Usv`9_{d%24Mfx$Zm+W67Y(Q@DWw@-kx`uh5kPXn}>
z25&SY6O)rzK0ZDk0@psNC@WKDW@WAPr^K=TT@U<cUNjh}r21!Zkhan-A?%`HT4rWu
z>)hD0r5nVIVtZ8Ty^%T7kJZ(K1jjuo69sJi6f&G{yOavggzD(&g@ei?Vl?1-0iY>6
zJDbt&bRi>kDu~Hj%E-tl10RL2HpEvN9#U^m2jYk?=rY<msy~HhLPzwxyu|N4>3l1l
zoRXEB`vN2$w$E;ozS%iBfw8gF{0ZUu8HJqbg@xy!60U5xP=(+^qt;EKt+d>PDhIMa
zb>>RESxSAvEvql19a=X=x9hdWvFfY^8jN|bne{@QiEB4?cXxLl>hE`0SU9m|&sZ6?
z7GMRP5a!SIot?(CyCKkx5QLVNmPXK)9@+~9Ik|7F-ZMfZ-+AG2wqErYnTyY#Ki_MT
zJi$VmfBtL&NsZ$Cc^nXP*x1;vntdU;C}04vKtMwB9kh#x<YbbGgED2%-<E$BV0(Le
zgIM!Dl$K9PU*E2%9aJW=3l}c9Prbad4r_D<DYYGa1&nund$fEcdDXI@A2cQ?Ghd;1
zYM0sGg=*^Q<@IMVD{rb~K+nIdOc0NRE<o~Vl1yBLYh{pb$$O=8t%jq@dEuPLB~j7D
z|FxDDU&vXMogE6ahLH{L-#-iB1R;b%!<%nyY&>yt;sZdWp`mFO9CP;%3k&1q;+h3e
zkB^IM#t4WW9z~_4F|z5AiGp^sy`Pm)Xk1)eoPVdNp&b9FnW`T|r=)baje89&I>J~E
z8tGn!<niYQR(AFe!&=tc?<#AsCwdemA6D!AgvL*fP;+Y3y?S-ld%I5^N2*%SZnHcp
zCgvPsWoh|^AvUEP-mw<e@Ae#f|En6D3TTX)yDc1f_AOD@iZwXJd``qnG)?c`#Vsl<
z6f$lm2eAM{cAypBcUQ~PYlrHNX4_pEmV=$^@9ph0;DIlDPy&)9eI#J;zo)LQZaexV
zy7p*;2yO&TENES)##8gN31|<VD<uQgrGu&wm6Yesef_MQ;RvHV1EZ+x@_Z?kwpYHY
znRcR$k=M%5tuqs``re<HWwQD<QcsUE+NZlEnn%MPDE<;{R!C&U$Hg^-U}<p#yxCbB
z2SwArA&6`m$T&bYy}o*PjEI_=8u117CWcef57fW5WKrrMQiiW5$A?(R-Me>rXo%xL
z!wNbMWs+nxY7DJU5%*Y+tv$kpev6UEUyxkPx1YRiQn|B6(e*!+GqY5$(qUmo^^#wU
zGK!1ViOOU&_Qw%`bZSo(&}<r<R1gVSO&`SNLR;G%wIYCb{$eIQAMD<Ro{XE0zwiB?
zn`32R!2)%ifQ$?u2?z+dnx|dkDV&y`Uf}-c2`Kn&DdHFFw*A-s22C?l`H;2{M&-}8
zuYXib4L50xk<J@ny?K-3r}!>CqsQ{i52HKO97is>W?2vA7Bl}^#SG5Y<e@5x;dYxG
zhS;5?TU@0=+fVEOpb%e}iY6xN{W0(b)8FLEN?2#-lAVo&^E^2aWmJ92Ei0;#(a{3i
zQIT(rjo0zb$Euz}W0nS3zK3bV05A6x6lC@E7{O4mhmG3X-)G_FeJos8`pc3MDb~ty
zWWmFXi+|U=2FTpOt;mpbD=Wc-s)$F!ki$ZI`Ic36^8X_k+Uzdfzx;m!Lo6&TIGr=o
zzkj?Duqwca)MLL)p|E1*zkMt9GzXNj0;48t#@HRF->Z!uuBbQ^4CsNd#&P}nmu2(e
zw~@vm?U`tT`afQi3>M5nVRdQNF^77tvj%r7ug}54l@t+|`xY4)*(E46cp@+#R9oid
zeOUql)1!3=?slR={Vx#o?(iIa>zMSax*gs1YuD<DxT}2UQhgYSs5tFig}>T-TaZj!
z4g0$cg~6cSypCo+gRp-zre7}MBS73OE%z}UEUMb)ta%x8YoT@b(st+4_KxM_3vE>=
z5AA$=j}_0YNnJLhX5Q+|<gVc7@_&#7EVP|9Y<G+f_@zI78NK-XzDm0-)03;tREe_O
zZX}t^SXAnJJ|c3NF0KzP*;loMA{6|;BmB(#*jfeo!_)*`AU;Xqq+lWUkmni6I^mfw
zKL`4Y#Y+3U3C)U#dJ||}VDKxW_DxH&R@{An692eh8r1DW58DldBrRDjqU9yCXz(2|
zR!XiFwF;%pB^8-`(VHdqzNaTIY9rgON)1elx(*mUuFuIut$d>$#Nwy=CgoQVk|7@u
zrzZr~9d?8}-5qrwCK(Pa4!ft)ZU}|3XviUYGXHoWr!jl)RH(jj^EOj3^Kd-zx4NA~
zLwPQ2a;L1t3T3!Nc@1?g1?x+aT5*@32G(O8^WjK>LWZ1^vt(EVXAC0Q;@Ai;6Y@Op
zt+1i>#g&@K8$RoLY3$fkj*3<WS;p~oO})KMfcWlxY$*K}p{<d?Jd&hJE3X+{f8K21
zo$LQkElOEJO@NEbwww*6oLsP`-Tqj43KxNStcLZ3fb<7ts^<o3A!jU4*^d*|t%5@D
zh#HNT4f(d6x*bcR`Nu1wM|c&n%4e9;mwL$#Qur;<d~V#oH1+gSdUkHi{<Bf~kNCql
zr=8p<9VvQwO^`kLP~yyDr_N(~Lt#-71qH=(kg;8!)x3L$1zNGalT*W|N9hxbi)WEN
zkfaRw>7rNg$QVN-BFLdqI=g#mX@Tz~6MJ})cY450OfS?KUhNR-?I4?*mnWy75MI<;
zZedrwO~s{C-nlg3b+}U2+}8FDP^)L5V!G+|bf3EZcaUE4jhaZSj(3Kku3;hcqOQa<
zGc%p$xlFSm)ZA0YyW?^o>;GEi)=Cj_I0FN|td*5jhMZ3qcSrL|NpZ0+o3n^+#vI+n
zi#P2jr0zXlJ85$QG{jsSh`a-4T2)om7tdtQR&xuBg^kcY)kG-YJc;eqneE2BlR$HI
z>8~YT!PuWxQgXr8))qn1yMk*^kJsE!_UAw^!+Y~102C5duw@|45kx*kj8-}0WNs9}
z*u%5!i8oE#XyBrz=4q!4nIX*kKyR+yc7E0c8W<l42ElV+aqNz|F{$P15DE$kCW*R{
z9`3FM)f@QArc2+sgA>E0`wBd4SU_@+(D{9r>OE$n)yXL-{bByXRC%y5U+Copsbzg%
z9xS4`Z~+&EUiUfO_1T+~Jbek)P<dsg5lAL9e5S-O!VB1r1cL>3POiYfv=j~ppfG0v
z!s(@fg~0k*50X5>0_RO_c%<Bcm5z>Xy-SV>=5H!c?!T++dj-P8Y6z|Z(rH19fOF(9
zpzAjI@=A)7tE&L~`lnN7;55|5!Qm#japbT(NT+29rbP!5QAaV4UlkIf0VAUh!$&O5
z$GWwIjz&hTY^blIYgPUm8;;9EB}9N`!LMF@rPlX+{^`?I`2>DK7Z(@z&2~Xd0RDJ$
zh4tDsLd*tCPEGlNO4MM^|Kw``p}CFC_izSL9-~I$wp2+b@XFV!cNslBJ$Y<Lggha(
z_BK;biGg-J;Z7L823&qDozq+;B_&_jzx1jq2(9J1cs?`xaj#uX8$Rg!V50D<Wox{{
zvHO*8$k6dikPCaDc105OD;gdH1OzXM-@kufl?EW<9P`@MH5mr<24pZ=9jOp#;^pT*
ze?>86Ie!)0eQH=pk!&IYf_XtZ)_H2D-vSup1+zrw&iTPRO@kiG{Ia}U2=lt|?9tKD
zn2%^_ZKYsjBn|nFc~R_gZ`VX2hf84HDWpn}fWrs~?Z<|3JxyB9gWG$S&5)nY;b_kR
z+{U&<K{D>@t;a!HR5!HV>*xdq1iY=P8Zk}OC4|j@khXN$hhd`Je)7zvOP3G?%>8=U
zA|-9@;m<jcSWiHr0)|)hvwf(f6v1m}Ys5nXE}y8FE%DAu_IOexSaG2&GB2*S0?9Rj
zeU6~e_6J)QU`C%uvl;HKPqs*RTb9J}Tb#oL3DD03;Il^cvs=j9%*?YnIXSSTGC{{U
zxVZITEpn)3D|LK>i379qkkfhA1KwlVeU^p-i8iH!)Hc-RYgL=1zDrK7XrZSYY>-y?
z69;ZVKP6A;PY(uaF_xZYk*SMEn9`$1&nG4(NSD6R?^Auw%M1Gc<T*x`n`nvVSpV}!
z8g!#@dSO4wlRvL%Bs_(X2^cVx^{64Tl11IFn@x3gDj~iZ8CPIc^DTNV&(sO>^S_16
zhY-Z1&qw)qKd}4hCB5lUC=?tPsp_^p%r73r%I`DPPl5vU=+PthiRbuHF8V&lw;UZE
zdF;kOI}cqME^B}jBbajvV&dYJHa*q?7;=dd_i#<M{Gz*^_&JcXb#G_b4h#A4;e(LN
z;(5#`feC;~dKd$75zPLos;b^E$H?#IC0ZDn9}?nzo%iAJc-rUBgb-^uD4j}I5>R*K
zK&A&?`~&qXt)PGc#vgc8&!Az|ehl^L=;(BIcc)qFtEjvebDQ4y9zy*{S2v87&(xqf
zf~Cc1sMz8v2Zs#M5|{3mfbQ<c7&9KGP|)x`<>ajJu$x<2-nOy1VQFcp1jlP~w9CHs
z^iX0TO36b;MkeEPpkChEwl0;~f}oi(%pD-ZV_}v9Q%vfx$qYbEj9?=Kr{5iBp2@|<
zSK~*sf^j#E@L*GXm?3Ta@yQyo$;5m?sXqF7di1(`EP_R5y^Zgu0qDJ;){`$TEn$j*
z9Fy01x-dMDkb_^pZh|?q6GT!>Y17K-Hw`Nt!pW^YeYU$g3gsMQ(}Q#403j+L&x?zQ
zaQc8>4uxsSIfel|@T247$Tx4WK`jRl-Z`O#m`Q>j&SW6I*!ZL%4`U+;=n5F=w)Svz
zEs80jSQt(wkTOY(d{*>1nr0GxC}S&ET{&ra1=@3X44Z|Ier_-{BB)W_3kXylnT(!m
zyUuXsCLBQk?>{@66LvJS2lt}=@%>sTJ}|MtWUki#2E<HU@RDDUF^y$mq&S?nBOR50
zo;)A{>so5#Gt`Z}jsud&8X7To``9HfFE3G>0eEdFp2nu8PZqjA=+@+dtQW?Hdi;^2
z+9c;8ay->keH?k9K(vAhj~_pN#POMter;$-)(xMKI$jMOxroW(gYBhc-52&mpAJGf
zM}+^=m2&$1_3Lf3RXrt&3>?k$E}cjd;gS`S2|qXkfiXk>ah3~b;uQb#aqdjKOMeF(
PIYUr)74GETHt_oo+?oU`

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e-members.html b/docs/manual/classbayesnet_1_1_a_o_d_e-members.html
new file mode 100644
index 0000000..910d05f
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e-members.html
@@ -0,0 +1,174 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_a_o_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::AODE Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>AODE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;AODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~AODE</b>() (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e.html b/docs/manual/classbayesnet_1_1_a_o_d_e.html
new file mode 100644
index 0000000..1c6cc5a
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e.html
@@ -0,0 +1,420 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::AODE Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_a_o_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_a_o_d_e-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::AODE Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::AODE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_a_o_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_a_o_d_e_inherit__map" id="abayesnet_1_1_a_o_d_e_inherit__map">
+<area shape="rect" title=" " alt="" coords="29,226,149,252"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::AODE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_a_o_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_a_o_d_e_coll__map" id="abayesnet_1_1_a_o_d_e_coll__map">
+<area shape="rect" title=" " alt="" coords="116,241,236,267"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a2bdd82edb16deaab0eae23fd0e283ccf" id="r_a2bdd82edb16deaab0eae23fd0e283ccf"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2bdd82edb16deaab0eae23fd0e283ccf">AODE</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:a2bdd82edb16deaab0eae23fd0e283ccf"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aefb1836792cfb5bccdb6d4cbfbd30cb6" id="r_aefb1836792cfb5bccdb6d4cbfbd30cb6"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aefb1836792cfb5bccdb6d4cbfbd30cb6">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:aefb1836792cfb5bccdb6d4cbfbd30cb6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa9bdf8f49a11185ca4badfce8caeae59" id="r_aa9bdf8f49a11185ca4badfce8caeae59"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aa9bdf8f49a11185ca4badfce8caeae59">graph</a> (const std::string &amp;title=&quot;AODE&quot;) const override</td></tr>
+<tr class="separator:aa9bdf8f49a11185ca4badfce8caeae59"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a170f0d129b3f47b55f82868e5b1a9d8e" id="r_a170f0d129b3f47b55f82868e5b1a9d8e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a170f0d129b3f47b55f82868e5b1a9d8e">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a170f0d129b3f47b55f82868e5b1a9d8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8h_source.html#l00012">12</a> of file <a class="el" href="_a_o_d_e_8h_source.html">AODE.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a2bdd82edb16deaab0eae23fd0e283ccf" name="a2bdd82edb16deaab0eae23fd0e283ccf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2bdd82edb16deaab0eae23fd0e283ccf">&#9670;&#160;</a></span>AODE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::AODE::AODE </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00010">10</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
+
+</div>
+</div>
+<a id="a99b83fb08c294361e387eb3c535b823c" name="a99b83fb08c294361e387eb3c535b823c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a99b83fb08c294361e387eb3c535b823c">&#9670;&#160;</a></span>~AODE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">virtual bayesnet::AODE::~AODE </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8h_source.html#l00015">15</a> of file <a class="el" href="_a_o_d_e_8h_source.html">AODE.h</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a170f0d129b3f47b55f82868e5b1a9d8e" name="a170f0d129b3f47b55f82868e5b1a9d8e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a170f0d129b3f47b55f82868e5b1a9d8e">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::AODE::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00024">24</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
+
+</div>
+</div>
+<a id="aa9bdf8f49a11185ca4badfce8caeae59" name="aa9bdf8f49a11185ca4badfce8caeae59"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa9bdf8f49a11185ca4badfce8caeae59">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::AODE::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;AODE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00034">34</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
+
+</div>
+</div>
+<a id="aefb1836792cfb5bccdb6d4cbfbd30cb6" name="aefb1836792cfb5bccdb6d4cbfbd30cb6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aefb1836792cfb5bccdb6d4cbfbd30cb6">&#9670;&#160;</a></span>setHyperparameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::AODE::setHyperparameters </td>
+          <td>(</td>
+          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00015">15</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_8h_source.html">AODE.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">AODE</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map
new file mode 100644
index 0000000..12e0d18
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::AODE" name="bayesnet::AODE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="116,241,236,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5
new file mode 100644
index 0000000..e6b0ce6
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5
@@ -0,0 +1 @@
+a8ecb4b4827a401aa13582922068e79f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..76cba847d662acbdfaf60ee7bc5f8f88d3c9a654
GIT binary patch
literal 13955
zcmch8by!u=x9tWMQ7I7tk&qCiLj-AQ4jl?e3J4y$Q%V6rQb46kBn0V3Ku`e@i6h-9
zjg)k~d4Biackg%W-9O%Yiu#@7KI^Q#)?8zbIp)|e)m7yQFH&7Z5QGq=Aft&OI4bam
z1RoFH;h$t)g@5o&mE>iRQ|#~b`kYt<xq+Z$B=379uZ}%6xbJ!*u|DwRQME$4|8sX<
zevTMr-k(a}69p9&wY1Cht`@s-mK~UzYZTU)5B(W-?Wud+CaBd@s+sGe+@^fCr_|*E
zDeg@6DBiQ0dS5@vvKu@+%mi_}TO0AMU!5)HoX69gJL^Q}ojVEqNu==U1ONH2a@wU|
z*Mw6FS=y!|Z^?zUs4K2Ug@k;!3axZs8>bl~TMg|;Wnzwmz5XuP=XW_b{FP-2X3rA0
zX($aWCT^2BGuTUJ+up#P$5?Z&v3zOED#+puCR1L}RZMEowkuUkr6GK|@Dq`*udhl2
zHKvqC#EoEof4^eRnp!=KM5<hmG*JrQ<opE{`oQ9Vz-$t!K}jhseEO9e8LWXMZhK!d
zJP-a_au`&vEB5}f(&ZrM&@E1Hnc1IDvwu5cf=rIqID5<`JmGPimI(|FHXE<={QmuW
zvAD5;LHM~#<mq*Fb*Q(->gxX37p0}7h{N2^Yu{R1&9>$`?mA2&+8=c>OzpOo!!r%U
zNR-$P<+$(Rs@|5w-sBnYJ(Kq8jyo(YIc=34bVMD=$<!Z>Kc6V}POCRHHFYn#M0gc6
zn>OVaHH13PcTVNy7e4>=NhFe1EHoq}MA$u>eQ~hFta_v6dWrj*k&LXY$&c5pdy6?~
zB-GU5netJ%$X_opBcJUD*13k3Z{EC7P*DkLHpM}{wX`tYym@ZGz?tyk#fuI{dmGFT
z?UZ_GcYP3#)rtWg`*Bh4-7)t&bAB7m6njhgMTw6Sc7**-M900iI+!gFLsL`ZUcXMS
zuCDH!?@SRnALCZ_@c#YB#}3+0N_1bv#%iq{{<OFq8X8J9Hn+buZ^A>llE=x+jHeXG
z)f~p%5Ymw(Xa+OY{p4m_Fwi%!`{F=dC&lk@WWr%4LeLcUb8p%BG&Gpbmr^)|Ncsgq
zQ)ZO7RoQs^hs?rxh>&MKhdWJUV>HOCH*bQ5%AU-;xNg_DS~X!b??=6DE05&n=H8Q)
z4eA)yuidF!Gj<<ytv)?DG~r92@?L$TXK^(Kwl8;AIq%)OcWp$J{_JFl%&`|rN=nvu
zcY~{{1hbVBaO;hT5d}rXFa9`ZNXW>}`uX`SpMN@BZW$65mXDFEvKw2+$kX8<zkdC4
zINlz}e7gH*eS2Hh+q=%SRloG{g@c{du=MmBe-|)k+S=L>u2e2hPtU0c!SQ=>T!xd&
z%V8RsavAU6f3rvmz$28hv*Y?xJwsG?_~#Si|GPcT>}Nc0{{dG@VHgJetxw0;Hl?s=
zt@7Yeey3S$q{-TNy>6WcFMncUlHJ!AgdQs;txF%5otAUgYK(pN&!q^vJ~t|o_wcx@
znj#!jU48cm*7D2Y+UKYevsQt@xUwf*UphJnm-`E(qiDqvZP7D|)<uUWTU`=Sb#<ai
z(!3FdbAcDGtdBZ(;UHWF)rgv!8i!u__hHo{qx$s@!3hKrKRt5ZJ3M6M;2?l+`|_1o
zf}m{3z}im{h5DeO<n1l`JRl%CC1otW!zyj;le_$~i?D#UlM^2fkAT42bLY+}tEyVu
zyNAro%%EZd&J)kIL|nHl(Tz_@QGxHu&dzq~$yWKhv60dA=mv`U=1oj{d)V*azd1NL
z&0*p9R?50cKYk3qcJ12ANENqEp+TEgjw)tkBuQ3QmY<Tqpwi}AFfpBKjHv4p84i!I
zaH3azDl04N-`(ALSOxnsm6(;`3ic~kt`r<ADl5;j7u9Lbmt)XONN2K8Y#2G`^c6MH
zCXqkY0VgLXqF#S<x5c)%$F%8e`fAME$*uUQmWA`xw6)1`ii?ZaOPA3<y|_3zZ=&$d
zo!gj+l3+#^8r3JlwpbT)Ke!V~$@~1}%a<J7-1faE**%McuO;#_dKTl8l16g%01nh*
zIy*ai7hOi{Ja3DMih2NU#LRwtSVnpM`p9JEXO{%-&qsXn5md4<M{o!SGo;VI2nvd3
z^4ps_@3z$YQZ6(4;lqb6?(XwBX}*dvKRY`uCK`P9;nM!$Gzd-X2V!Pp)x_JZ3u|7$
zr4hr04}6a{<d<A(J5<OM7Z(@%J=H`v&IS|FD3%TVoN0~fF)iT{6pRy2iA)i3w~&&;
zZEtU1{QcY9&=Gzmi#-)UIl;~S-QG4gF`?h~5`!NKPQ7m%Gp$>*ZLuznj#Hbz+dX$y
z9_n$BYu~^B>S!WTtKu@sX>+#C`(QE0w$gJ^&PL$@dfaDs%zNoW&K^u}v*GYhW?CBE
zd{>%UjKHB?K5^xevVy`Rm=&6z%C=uejGwzIvgPCa3#lG$<2<X;Pww`a{hn{$QYNli
zPOzL(Br;vQdbN4P{&ULXj_&d&2@)rJjE07W4~>jE_x3!*cLvQ|TwTpks0%tDb(<Cz
z&@tFe|KjiOPgMbt9RfgESRny9Bb-LqWfC?~6~Zu8>}e(DIA7BkZ4}+J^=Ir;ru{@i
z|Kh7xB(wAL(wUe^SXN00;xAvm6q`0*yelMxgN%-j^0+SDw;3uu2Y@nCY5P@dck~RR
zpr#gVRMgt|><sUtMudQp2U#8{3f8=Me6aoX=~{iTN|Hc^d=xGIg$qrQG$K~LTF0&A
zqhn)$nl_c5HPh46>t8N$Pc~B+f5ToqJNvk9e=g~JXJ_S*yS`8HgD2|hBydjs?LQw^
zYIB|*ulbd@EdJ6ndlIKFZ`SWDO;y%;o`@Q)lf<d=bZj>t`{BKV<)Q-VOAl5aS~xiH
z933BTjJZ#k0Pa?Ab&Bw!yKgYDu$T=L8is_2pLN*aihxk3S|h~AZ-no#NGWWPFsydK
z5pn+$sJRqs<dV0m6S)!{7k54rgI}P13E4Y2T*JT~z0b;`7Z<06vj?|^gPg^~)0=Sb
z65G8YEKCKMOab>;@cAPw=Xp9hy2ln4dOA)<MzlYE{8)#rG@1P#9WU-9yt%bi;`Ccl
zbiMIRJderqim{~`p9l1&`5o+8R>6Q5@^*H1^*&X7=k;9=_V=55daj7Ltu*FpWLj}N
zZ4SK(sUWvPYj_y1a_JTuo0Wr@poI_rwy=BoPQ%*n%Fvb5y;cbxzY}kQ>jDJg;^J`?
zKfixhV7hs8s+G>~n~LCApuT<m)lY7#UmAQ4i@mn3kb98uN+1-d*7EfxT;WhO!T+qo
z9nVY!)3sDP&UDu}&r6KXv%AsfTHV|G9?dvd>&l+3mKGTvPT=wMDdVkM_(-wsh`{@t
z9DP9xfN6-D^+B^JlewP>{e<Fnqj$;3$r<SBahReL5?;b=Y(}dufB5hrBsBC3<WfwQ
z5`~PMT>sMtmBRYAxc=Jt6-0?=Ahyo0H=U>J6(K}`_&{*Txw#3rtqeZ1?8(ls9w?;b
zH4W@&7+DG^5C))G-)!feDX1F%(qEu&!cPT}R%|yW48VhTiJT+1Z>_yx#%Z8TY`KmT
zU3BQ{3Oq&{f@5Q&mCksFkCBmaV`s#kk)NN8i;Ii$wgrK9kx|6S@u5DkoZY8Yfur@W
z#Cv~x)Nl;ya8H3lnH~IHbnXAWvJwsn$ppyLLQf7ct?%9x-awyuO)_tXxX%F(A72c>
zZ7-TXS;(205bsQc9OKuoUx(mk@y?!gXbHcTEaJ}f$#vO+<~76~J<j^Kmsjo#t0*X>
z2M3>jy1gV@pxyqk%%Y^UG=@3$C8Jz;dRW*cX=&+el$75e<ZDMCO;oG)-6ckK#`6Y5
zNt{%72%t8j<!Lj3O$piz-rJnkZL1hCvbN1RaOsP;*p`P~76Q7LD(d;`Ao1WJH9A_u
zo{lOH;L)Ki<|aUH4vY^Nvp7HB%Bf$eJ7Mgjyyb+=26kv=Kq;<z-9BATTjjF))x*af
zyd7-vk<=MwWo53)J>%v}+g`P`wVOc{MmJCZlHFrtDR3+dB7SoiHzY$wARr)k9~Vcl
z_W9IzS@zx1p%zT(&Fj}>!a_nDkf-e(K51K)UXtuHH#hIA`FaeSc}JXjXlSThmxHNo
zz}PS4^5x5}l{&6h*WpD0?}TZ|`h1$-+|<|Lf>nNPAKRGn7eC+JH=ekT4F^<dU0pKF
zZfdb7=XwPZS5BlvY3k}?n3$d>TASt2cZ;*ExcJq1V%o=&l1*=Jl^Au9Chpwg;FyIS
zANuU)XE)JM-xkL*{NgQD;?66d&#vfS`SWp%w{KtBn(t~2AQlfn#WD-!5zr^5tQ;1M
zT&?l)6_S#YvKp)4mU(*P(07?xf{+DR_^WO*DSQzH^hNqWnkAYZQMVOc=YD#bu;@2$
z9?VaCB41V7PFl;)znVxDF{cxw|2W4n*+%Kf#Gky$I?du!dCC!-2)QlmD*~Uh8i<vw
zA2_zODJ{1<v8aV%FcswjOxDNUU+GR;8mgz~n4EC@58r&@V=+FO$Wy;5@~L>_2Yv7t
zvOWg&{Z27akN26&mh4RY`sp=kr2!AajB)nvO?_lAy2aHr+=0onJXwfBYmHw^K47_Z
zRn3VXxfSudvRYbt_3$N|2KR*yayI5@HAEK=x4V(x9c5$tRq`Vidd-T0E%}Y$%lFqt
zJv?GGz27#H_%o}|oNcC?{)I=Zsm|By9HfA*RQK!I$orxA7-vEEjv5a0ElSQt5%McW
z-n#-1PU%7~uYNIA?{Re)wxyb+JA0n()@_6ZQAapKwf?9P9#=oJ2&92o7Ym`hRi#D0
zDsd08QcCLP7RNNQFSq1p*YPmurK>cx8iX3M<!G5b{FsZ&arRA~<E4yqjf-WL0p~eh
zl&%RL2da=Jat@Ai4`EE@$e-medA`(Oy@g!oB<C;`(MUme9>{Fz(>Z<1l(G&#w@&t<
zHa9G7YB<e|Eljgcgv(Z;eNTGUHe_^k{CNRYeke{IUeG~dsx|6v>|UAX9xHS7^(Q`^
zg&hww(X?m#^5}z8^IQbX&+M_}9`!YM*{3{1HQ%N=qh@cpBQ=5pOWA4Dbdh8Z&nP?S
zIj#x5f}~Ly8FS*B=kMMLORlq-V+Kz~+3rbi?=Ey;2v-HC`CtVdmKh$1`&Zde+u~ld
zK=c(Ad7o~WUi)m7KmF^4%>#AJ{qkGAht20ne|G-SJ@V_&GZ10O7`hnWp-a?%NYBgu
zNS~Wxv|dQBEn4<EMV!E6_S_TY=i4i!_Zzpuc4gudKUMBXNtIpo*cEsqJxP;3hhgTX
zwT(|v_ONsej3GveOj)=op6%_TD8lJiR>k#9VH+EFRyJP^2()0A42tvptm*5R$iqH)
z1u;%cUN=`}uy=ao`7YrjwNtKiP?@C&+3~$?O8k?x`zaR4X^1$vjRQK`HW@x#Vpn(2
zhg+9Jri}bVDz}}Q%ZbQGWp7-&7jyQ>NTv8}NbtJ@g2wIp)VFunC;c?OK1FRGqJr66
zHrO7nE(nhZU+B>OHWW_58TkB5YyB9HnPVVdJ?#fJB_#)n5Fex=KII#a`~YiV-8Q|v
zC|mN+G#vbXG=~{BtZ)$Q-x9aR<*hjG8wfmAlL-n?vfY9}i+&KjRE}%0>(umj$t*r8
z^G(KkGA$hM0{R$JcZc{h?PNOfcX+NA^}s-;#DvEs2V2fPFPQF`CH%4LZCK5v8o9DB
zr+%H!_KIO$UGarRw0TotU-XiHrZuVGXp%IsTVG<bM0(5Sz@e6Olt^vrj;d5y#J<>F
ziL*TYrcJiX41EKUg{Y898L2YDJlf>YYM*VHidM{>3m9#P0}W?l4QrubVpMqSB-!+j
z=u48ey?N^999%8@xFa9dhmvLF?$$EX5940w5U_DB=ZkwgX@sQRnk*Y+I%&h)d3jKO
zXFYef79%VuKR|C2+if!=AkXfMy6{Kqn*eE=qC=%}zWw;x%*Q*v=4^lVYBQ}bSEA6B
zXJ8d-s>%GGebFXOYgw74lpkO^nJ;)IU;l71@oaioY}vl7`~V|%JeGfq$7>;J!cJD%
zg_<pZn=v3zF6iGoha>TXMd@4e>x@NsZ;)B1Yb3!kX<_zvkgK8zo4<&5l#a1*ZT61U
zYJ{bsa;P!RLauV>Wk-4Yy=IvB3z&v<j{xRFCPhE#UYVT9lE_TolgPpk_4{Hx?l|jK
zosFYV0up51H}~+^>pw8s`W<KN=Hljd@+m)mS?g;sF}HnWt=<(OG5cWb6df<j`46J$
zE59*0#$;Ms+5ZeJLtGr(_@b=l7=K2;U!7p?M)T{iX3-XY{ODp^_)hQ2g$_3>Skc`B
zB4@-KxzK4rktDEpHNyJ0inFF&>Hd72t8mH|B#*KDZ1<JHsl?Z>XB`)p74i%}xov+q
z8D1iy5$<hj;S-L2&4FfuX{;$+O$w~S|4GklyDC#LhPhec4utHYi<6Tu-VNGDDTJ2E
zSW7VhM-;bFmUTOAeSJL`d9?dytjdx<(Y1Q7s<R%aE+sB*7wzIw?g{U^qxlo7aQ1K&
z&b=a@+*`n8QUJSmFK#w{NIYqUyixohXjk+5?Gw<Y#>U#(Si|1C%gD%RY!y9wt8(IQ
zx%PT`X=CrY{~bjWXB&n!2Nx7BGI{aQjW+8yn#8xVQV|~Y{60J+USU%*MRmXvNVFI~
zRfk24vs@JISl`f44YxlEWU8&5wTZPt3|jogejWzB^6vEku|En)?^!G?)#XUT*;@dq
zXK7_+#rsTK0*DI{&bm?h7cQva+-klv!%KWI|AI{@YC0v73xz0tm}g*MxCmd8gWTIJ
zxXdUw8$l~}poGXp$T>%pm2J5oHNXeba2kP&cH!<Jjk6%kNZ{N82}u`A5vO6rwvk9&
zf4R(>Gya#_{L)0+RY5FDIXw2!qVDd~mX*>ncuzJE{x#t2IL=1K*_;{6ieYL*eQBCl
zRiEQ+Y+oufiUq-8`uu6O;0fZQr5JH;z2jz=&+cJT5uU>v&871?Is-F>g@vs+qw=K<
zpS{?8=T{bRWiGuV8;BupW_or*pkt^_q9`S|QmFQ0|B{5D_r%w>wmMmy-PSBZA*;2+
zu+UJOW5UC{<;&+3KWM~>3gX|(mdj+l>A8BdYYhKh&g&nHp5mgSbyb?72v(xlOHj_%
zqezfZaeB{cRqK%_ZhYCEJ*cBZMCdDokK9@y_2S~}<MA`;v9i3MKfE<7(G@?>;{X&l
z7I}1fax9M6X(`&?SM<3!DV(Az_~!kuMVCw*f|KI{V`P0CPLFa7n~+dVRomlXNhdF@
zzF|O|&|wIS3m)+o?KP*4<7LKI7h?2cE2N2c-j$)wH_9|ijHOW>=xcGZGcZh(w6P#I
zV=xYDK-2oAHkq*I(v!FPc0vkH(V9zNi$0$S>$6t8m_3h>(9)iSX|l<&Ztq}e9Vl3;
z(MK7eqMh30>5W{h`K{0!b)OftC+L6v!+KoB%!B8dN>+>gL}G*OkKKOZ@KC1w^h=C$
z(o%Ki(8=j>)l}RTOi*5|8uwbRS?XFH`&4zQt+1x1MnYCzJ}F-UB)!?G>1iiU|71`X
zKhEV=RK#|ZRT|bsZ5f}X)%^Cc?@Aw@d|a<)0pzQycf*AD)SC6z)Cf5pTvVoi#P&Fw
zBxxFmNs8eH#eG<}TTvaKfi-y7oQ`)tO}gYht`<HH5~4CIVM=NlikhvDEX=y;^~7PR
zSkUgEa{%LtPp|hXUWO|I_1;pIVa?fvQwkr$_Kj&{KVBx$G-i)Net;p6q~J@k4A)E4
zd(TeQPN#plWOI%8W%*Ck?3u_ySr{c~FvWm6Rzb;z^mJ)KFY#+)_v>_byc{kE7n(1Q
zvu_zUf<LC_lArMi{g%WlvJd#)^IDroh`-SWvw+Ba?q7R<l;<gOGlTV{_|BDHB_#Fv
zm+K`jljj$_62HJuH)Ja=HFE#fn+e>{InWWVWuBtkjJV<0{Ef+p-rpRVD@sTocW@EY
z`GLK*Ot$QLW5UG($LXWB7jGcpOx-0-oDNMai;ZFripyPJAKqAUl^@uWhZRNp!;0p)
z<PcFXw|L(!?S)L%8q-atW1viWN*5A$wdB#Z%yweta*e@fI+H)=9KPr-k_)Zr7LQ{u
zjOA5vY%aJ~WTeqJb6@vz?Dt?A!!C2@0#T*O(^2KlD>r$9NL1`PRmBeueUhERB1xq9
z<&;V3UZR-H+%{SNb!qpGL!6@_nMs9co2W9-?HwmctBKT-(+8rjn!0VC#LMWxKiA|3
zG{;5+v&Yu^8#Biv3#H46oVE@4lkQyUQ_NaN$liWq<{QUsBaLuPkQJG0C)W$|tF!NZ
z!`*aPZF^LNHXffPZ)MtiDBoY|^gW}A>IMpD!ct7heDEHB=;$aHH3M^W38JlO(gw@3
z)=_^1yGKOdN1?cpUZ&GFJM@%+E%6f`Mi_;@7@SZR%d2Q|)&I9Ob1qAgb<G-qDvi{n
z5^}!W=%yAEPmmZBe~@%DlOs`xd$)2^jaB#5RJX3%bGDjyz0RRWdeOyk;g%PJ^==y#
z1W8f*x0;deYsPYSw~3N9{!zsnXd{iEcKRL-{0lHx{*9)fNNr^HX66U?d$n21eOHo+
zeOBL<#3wmD<d<e;DQ1nEQUIjwp*ED(pTh#&%&jatH&@q`B~ULHG!tdc{@|s0l0GRi
z1Qm%kAnYyH=(GbHE7HV*5GeORG^H_ofzH_6++6QblMt#67f@^A4<h+O^xt+bUUl09
zsHTZW1YM#Kt|bV*>;8v2)pPEea`N5FQ&Us%g7&n0e0(3fC@3h*nx3D#1yW?pZwfN9
zNAM!|W8I#4=Itk)H$bLI60~mt6#>MoQ09k)XmQd+TXj`cqW&V|wFSPD;>pQJ3of;C
zpHKd;H5>{_rb&fU?6#mB|K6gYs+#@zvjnQNx;h?oT-S!e^mKpnuq+K*Z5>@*1+2W>
zFk~|a`jhtBp)&K8OP4NPAG3h$nh+m9xKIljn_Ny-w$ExFaC9o3*GwS><j%9|`H=_x
zK?UM>dW~ZUE?%4lq1m<}yI~s@gVmF{xvTb1*Z}`PfwkRP&X5{x9`D9Vo65=rW22+F
zuctxMe5j|V7^AGL{1{X=A0HpAA|bx{osp^SgH{fofI$CnBnJH$=7AN5V;);su>}MK
zEdKe^30lWS!jsezypD;}6Zf4zV@XCvMl0j>BD<?2^8e7L#l*z+L5J%B<(ewu1*3fA
zV@Jo54gve>DLl5Ug{7q*uFL(=Od#o-pDe2RmG<lS9Dpdrgk)!B_36<iBqWTMn4NDM
z&UiRcTinN@-<6e<QwIG3kjZ~@R*g!ru&{V}d2Obh9<dA*8Fzt>)i*5X<I~mInVp}{
z4l`B))$Pw{O_|1sp_EpL)e4~s5*`s@E-8r<8ykC#grpI))0o-Grhpp98M)>2y*)j#
zAVZCoTVC<;_D1tiD#V~rsK1+=rk<WcN=iyY1^R;Ghbv_q?CfT8a(IV3tL<;tbvAoH
zX#L&UvCz=C4605Xr+y2l5V3WXi3lYPjY_>y7swh1hlg9oyAxGI%nuJ0Zu9a+7u9Vl
zru67n+GNOOmh>B?DM^<#xMI}PsFv*e{M02SC6D%IqEIpUIz@BECSMhPSxn?xQS+Lf
z1x^3Af>uboqfkadYN}nz?zbyy4h!8G{7D_6zDIXC$-}m#`)iz^Ff%a~gXjSp(w`n0
z7B;goRECPVE?|>hRKyK|^<iKcernJdhDbVzR2H?=_n`H}aT|9+#{OkmQVeY)xe(B)
zTJ+i>K=wiE8nKBjU;8UcPyY-Q<a7+We7|-n!_wMta7oMTU_>1~y!7-z1VD)G{fT@9
zv;c7pNw1tM^gW@ERiPRj7<fZMf{rQzFU@=N0xm8t2|4+TtL)m1ZEY8j$+@`~5NW3E
zZ#j7qlm{zqum7o;r$z30c?m;n508jC1m_Iiqeg!m-Os*auQeA2is;6lu8G+UmtPR`
z`g>170UsEiMkcL<gv9dav40koEsLNxWdIWHgzuqk!TibL#Hs1xudEx^b1w^AP4d+u
z7VV{}dUgQ~hCfls+<s*&WR(f1^oXA-qt6NlneaOm^8!v<Ud|6)PDW@X($mu;{*8_I
zmJhMBlaZI7Dg5*Y+o=T7OE_t|u)nu=<M!>IgQm{*cIk%?uR;G)Fq~S5v?oVR-q%-L
zyU^g}d0G$T3bS%?Wj^L;?Q}kGy|gd89*=+$+kRRZEIE@Y7m>Fy8hVvoT|+~IJ>0h7
zlD-ccD7wX;32S0}C_0oP`A2TWwmq(AS^w`f*8mPtQECv4v3)Zh=Q(BT!HDaEL_tA8
z3JMAc3S?*oK0eaxf_5@+mSLwIPL4c5PCpkN9o?^QXH(M0jG!xqsXh~XPB!9rgXZe0
z`qaZ?5{jr6IATEs`c+@h{9hjNJQ}NY)h)9igkG|`^?oH5g$(WdRu?~!OcR&7E0?LI
ziHC=WzX!~_Lq+(cGZ_`obT1S0eSO`*ZShwS4h~K-uNfYwknMJ3wY==?VN5j+Q&PB-
zFR!pzl_$M=b&r^scxS0EOt0W=nMH@Gx%o{M<}32yl#+n+FJ8Rh<KcOguU(MG+oE%4
zPCn+g#ZTyKkO>n-BM3PM)(aqE2YoQ_*=YF%z$(J)0<V~`Z5->O`u^e0tRC{PAf>k)
zSaH<QzyP2~5gR^zex-Bq*#)k!5*qetR6P?fTKH|Z>l;SiQ8Ab$O5Hb8Lu<#qdD9Gf
zw%(TC{_i*{x*sbmHp{EhSVqgpz_4Ufv~+O~Ug()MG@DL!Nu2(Ka&yFI?a4nR$t1BK
z?d_hk-!G?%`_yVw^j2}%Y%fOrtrFJvsfvT9eV>6HdN>ob$iv;WC&1Ec;PfyXzOCM5
z;!g^OES~@Kr}ED<2|8l&y&KFbiL(n%f#~SjrJCZ47cNLDDu!mZlf09SW&95w0JFpb
z1qi~Om7$phK0N~5;?qlUQb)Xym7%?1Ode)lmbr{Z?IcPwhr686qojY>3V@lQeY&~#
z8x!B{xl54_E}ZXtqIp#?Y{y==<!~3yUCIW|glT}HKpS=Ww(sfu&t~BtJh5m2(!_Ut
z2~R`xNZrpM_-iW{!yO$^?`WdC$qI<NOhgfG#2-&CZ{p1T5DRc7=+Th6OE-Bq;_8Kc
zDF*@I&t$2L2tB<22CGY+izm3Je@E?dA&tni!1=c~hc91H!Q|;CJDx`dmbS<q(K|*3
zD3Y#*2WF!m;E$eZbZQfQf<%|Otjxye$vkC%VIn^J%GslNv~g5jMGG+ZCp#^;70X4i
zQ{=JYC44J<=8C#MUUgN166xwI80C(_^$dl(8YV6)I)Ck3Vq`>^V2mIk<6;s2DRqI}
zhhfd(3v+p>ay1y?f%><!4641Gch9k$8y!%-`O-~MN~@gcn+%Cp`fxz8dPd!_O9BI~
znR{`LwDnb~khiy(qmyG5glH%_6eIs9l;>ZiV&HfGXNL6u@^bY^u6u)(0Pc^ndZQu>
zGj9s3sTl-0Ro{xuRI+?|LVNjg$sk6yT(%Rg<5zw3=!SuzA(rQz1BPJEM@bOLmDv%~
zZFAGx+j|lS+X9~q`zuIZZZ3qj2@utwhW}T$SeRPHo1>Q2^5YHr2J`?#YF}GaxGZXt
zk&*T8k4`s-VIXl>6y`GPk7QL>Q$mM<+Q@rDwi-@#y08hc&@US^Cnu+3-(xTNxQ*a*
z=g&*$^xQevUTZky0tqItw6s)@I7UU+a%OOt%d4KYsNsN(jh#KIhRsoER-ufLos|^_
z<pR*$56+a7fT$?q*QIMpCP3cSH#eWlX>FbAhc!P3OM%Pka7E{CLWjlcw{QDBzv<{C
zL8CXgUJyOuKH(ED;%*mElwb4~EFi`cIE|0_n$Y}uQDp4w>`?74)m8QPyIHPm2F`r%
zM+X4!Gc_}tT3aKwx3^bL;5!G?LSDUo9SAw_2K3dSgXHlSBaefCe?Z#6z#u}P)^+(s
zl=uNY^6Kr|7t2MTX+h};hAcllGgBb%02n6;4fD%nWP!9|UN?k<t~EAmX>xOO*MXyE
z;aAorZyz6CtKM6$U%wu-aqdo+{NB;gOyfTK3?@#26npPGg<refqBoJ%Lui@%_5f?p
zfQ<GP+!gI{-16X6z&brx(!5F4B#!y(>gzEjX7ZwcyQL$Bx%!6m2Bbppu!K-Ir$?h`
zpo}*rHui!)xKKE5-FgIOi8Hvklyr1zG1Q_SJc4$k3SrG(08N3?@!h%eCP~2d9jrJ|
zDij|p>q}rVz-FIVTCzfmtmR3X&s%5>K_~MO++7WHPg8|mL&wL*IoR0VH9eXvHE+M`
zz2^`!3-N*PkHKJim$#Kss0_$OklKBcY-6y57Kk-^Rmaqn!PxWn8?T%*XU<@o?9fMQ
zXfcEJCG0oNCnnscLDuSbjppX(x9WGt84=Y){+B?gkEX-8@%^C@DNv>K&sK@zrtM#p
zSiTXYnxnr`oT7~{Upv~Ztfp4g`E>dv%UzcR^~4SfS_$7|NIw6>$yY{eZeJlK)ip9w
zg*~xWZ*FdO1e9iKgM8IJFc1eh8)gna2Ic6>tx<Gcu`Fu8nwx`Q@#n!61eOwA;0lbn
z;Oj6eF#q2Ugoiq40Vc?gkbCBV`B{sOd(1@OS(jj2$l4VTD+;^PB-9Y_eC4=agY-J#
zy%o{1swu{QU5`70K4Yl-v2q#V66_mze5_N5plJ_2CHx4v05$Rbv-S=9%=}b@cEI8P
zy(7S^CA_K9c4Qse#JI?>o}P?>WnPELMymFjlY?bUk+DSG?)cNafzKyFP{}dey-Nwv
z*#!KuplEArtL$V1{7!fQO%_RU%iMnZN&#kxu6?ir5g*E|2zrP1r&~Yxou2g1zt-eQ
z>HtM{+b(V?(X>8<T?yoI$g2Subf9+rImG+)cz0p!lOVW5Na*OIfPDuB1|rpa%cuwc
zDRt}K`zPw=H3gL;F+|lK_^f!GW)+mv#A#rIb!(h%(t1qdD97_O4cl#Bx_0Da)2W@L
z@}W@AX1hr{1xh&Wq&U-xlJ5tVO0JQ5-0wDKrPQxK=1ai3CXmKxM)_jbWo_(eVCY%j
z*^z@f3wZ?I32;qR`4&SHcnT<REA3MPs8h>dG(m@5T~{|GF!1av84C+$21dpbC{NyJ
zXEU&|T?Al}2ZI&KwQH7ySM+TvE+BdZ{a(>{2od#Nf8Yh_<Cc@A)ycpw`ZF{1J#Dr#
zGK5z(CfrJ%)Z^1rIS830`W*Z<dHk5^`1tq(27MRkAr%20RfOD&;NUWl-3ajUC*jCL
zjcwqz+#dlYCQ}>i7Ac~Zd{-lL3?}8};ZdwpWYlX_k$lIR98k=XFX67~H~iY_Y94<6
z*Uz3kGpMk75aIYOZ$mN$OY!LZjvV2{%`!%bO1Znc+YJ^!W5SjmMo(8O`rWuvhzJOn
z{DtYD|62YqtU!D)Z|j$UlA<EMe~xNOX@gFFpA-1O;FxXmcD(3UGW#B%jUHGb>{tT$
z2Ah$-^$A#rOppCz9)ll%ll&5Db9=z}2?*LLs}BraPvC|1&njJxBk0q6?yZ|xi$pvy
zPGWipC3hwUt@AW4KLft9$7tI&j=e$@7)If7ba%Ntcz<@+Cb~excZNDorIrIz4kYX?
zq$}heY|30$TGV+uZ<1JM6(<)Vsd8PAhmdNILzwqJSXlFa&ceQdz2Ub${W}c~^03%U
zYjis_nO*{*iqr;@w<4Sdk6c`?aYlO=29Z=WGdYb-xYYf?xQ6V=w(!g5^Uq)LirFj6
zz;)94fY!!R5Y57BE!OHQ)vcHcxCZEl;#mvabWKW%SOq%h!3-0_-7Nh)ew}jFksWCc
zi~2-u7>kx*g0alp<oJD0851w6hgNr$Tz$DC1D_UF40w8#yM-Bt@D8QpM9#|8Laodp
zmZiNJLaoR$gfICW7UC**cJ7riE|abXV`&%vw=v}B9ShRVi+f>aY^19Z@TTpbfG=6b
zSMIChzdTGHxci;~Q;4OBW_G0Kk!qrkwFLJAnx+F6U4K$chk{;K@M3?uK4IHuXf)`x
zmJ8-DOmEqwsU9ic7Aqhtj2vpZo>ansAwt0rCT^r()4N;e!teu}zJyz_p~|(e%iu8G
zyrG!&s9YS0#Z~T`6Y6>Xl!7~ZW#C=g_q9JS`=8xnE)G4K;K<^MYt$*eQGcLxJ2;cw
zzpTR`1AMbKyf0^=QzlYNglYJ08UF8lv;VeZ|6g&Ge`B-#|95#ZjiG-vAFbB{eG#-e
zE&wSL!rV{DSM~ETGcZU7TBh1M?m3@g7RmKa3|euFP)B;PW{JDF&~%_|(})o@DOUNo
zU&$v#_oRBBG4YSYW4*<H{``sLlIDK~63YWHZQQL5cl#g7bNZ3PAC8W^SH?b3faxhN
zQ^_#|bOZ(<8zv?uV1-dDm~RKm6P(1Ep9!}CWx)z2=J1tJaB|qXsG?yG{Ae$l9u=#)
zFZEsk_`oM1_=xETpIG|9^76+SFyhFAPp(kCNXGdUV~1Pb`}b$T?d9Nd&2JDWpyTwn
z3!f&ctOvM&X<Ro3Cvd?$RPx0(LwwZ2F8DAWrGO130p1yan>*e+Lr?k#pe;ZlBqY?0
z=JE|!O%;9VcX~K6SnbHDpl4j=cj^ne2Odb56}0cRqZw76g@#^y^>HhEue6lUWuY7A
zN2mQ5R#<?=su-6i&C1FGGMKmJLmqbS>eZ{Rv_5@(7Eu2yGshZMT#Jyy&H>i58O(O-
z4<BC8(a~An0%IzcOk#KMu88qbNH`@g?tq~?4eS^V);kBTxid)Mix;MQ>r?%^sW2VT
zMx;Oc9+OZ}S*7@GbqJdE=4!b0vFb5HC-SF_fEj$^uE+WfV2^l&RDr+@zV`K9ZH=V)
zicQ>L^o87AT+E}KBtXcnQz!$g=>VJtx0=!kYmKz{8UL&);5^pPg0;*-p;)fR39?2+
zZtksHS?fbj(x#H^8=4>sV5J(c+x}f1AjT%fS{K$obz7=76Ad&VHo~@jlO`5BD=1jy
zHDUn&r>LZ~(XVfhb$wBad*5x?o4!O1uJtI<O?;#`5zimQ6$9742h}r?BCnE@!{Oy9
zc&`zEaFKy?Y~~-*qQ#r;ZgnuTUILGCe|Oz|up@eHF9kt`T`PwUt(2B3qk#+*pm~wI
z{x2z(>sxeCfwzqwG9{!PUQjo99)BkxqoA0nnNOA0)uoh@mX3b)%Ky_^!*x|v)w`gX
zL1<t_rXN2Pv7DIljulx;6diHBQIy}wR@(Z;MiUsMiy^$~z@z8@W;h*VAFKvqI`t(8
z;i6py;&~CfJs>0l%Oa!}ayko!=e(*8&=y5c_GaQCNrLW;gMe6->&WD_$nUV>;yGAs
z;^5}ik}eql1PR9)ZSmyE*P)?nVo!HII;WgFd-et+<JUPau&#fBow5FT2$V`)PfyP*
z6&UObf@{A*IB)8aUhA=$XI4$d2cZO<hYa9WgDpRU0_(f!_gD1Y%iG_96_u6UhIJt!
zCB-cp3J3e^nQD(-0gv@Z=n6e7Qv%5i>u*!|^7ZQ(>0qK}&@LrO@d9ul=>>qJ6S&Cw
zLS|Hdt~r?59b8>y)5Lv9C@Dk0#h+x`e-k(y1b2b^!O{NKUB~IOU=>9W>@XnWsNcVT
z7J<Va92_iP|MfEHoGl*ahPCc%b~N)J-wiBBr==OsI9i5;_Dh1WRRXnQ29#O-i*Qn=
zyECNK6{o<<+zPMKUrRyXvVcCl&x#i|6FiqwfE(DEYHat|fZ00t<Hv6?H<he7a-c?C
z-`e^LHouSZ@gPr0-@i|0SGOUzyqp*1Y*nEbugsieYZRFmW{iy&|1h(UOpfc5lHnka
z8P>W;f`2w#j<H<NwqW-ZG|%nSM4h&d4%vJ6?nQX=We>T5>%#2j&6~hK9h{tSkt5Ky
zAwVR74^-MuMCPP={qRaWfDh_VP=LS*ro4wyJOR(2BS>m$Dzu;*;lTj3m?k?Xr!1&h
zAj@JoF#(M*8Gy)Ol|3CPDJj-!uRl`Y>!Rbz|0KVoy#(+G9(tI{PO>ZQJcJV15yAyK
zT~LOCwDX&*CVa#6?P{`Go^EY!I{X<Gf-_z)z5_}b5v^zlJU?Qr?ep$;Y|ob4Pt%e|
zQ1c-EA3t(Xi+fXIcL{u)u+rzDe7%Y|05^iVS~p-N(Yo*%3_aJ8beWvog0Kvm8Ys97
z8X*!TNr8X1LX{Z_wEFSm$CJ>BmI1UA6%%uWnG1R(j;JRgle4pdOA>K!p~m<5^J@`m
zmT9OpuqR8{{f~_g7Vf~x_x;C@=Q%knEs-=~*!mSbwEgT`0LxgueXzS0B^iMCaOAVY
z6fPt<EFXqEVz$5ed;RZU;C3<*zSvq@Sgfn7tLpH_X9rOz_FJKt#ij#qQ08uNayDbl
zt-!veSc9M@o@rxA3j~$Bu;IWeoa)X+I-kFnpFe-z{XvUm)TKuS`y_<%>4A>*Q*ed1
zfOR_<N-!)*zs1Tb3Ah2%yaXuv?VAidL_-2+xe@TtVLrvZ-}9nDN`U~*BRF!pRdzIh
z!Eg#3{w`=>j~At|%Ppig{sfZPWol{yHMK6Pc5HESbaaG0_{u55SAjxG0U~2nijRh$
z$iYOwLrH+mS%AwLGa(*eO&tXDJkr?JMSKR2pwYH!43B~$j;bANEMJGa>Rp=9QWJZy
zeBY?tW_5|BXaqV;)mW(}Zj137h!qg4c~_aS3dW~TpSDxm-o0Z0QRA{A>w=3gL_&3c
zGc^K7NCprLp7WVpUA0Y7BZc~uhbm%Ws4T~D*SCLw8Cm93jx+M!&*UJ#<mBuOe%fv@
zmFrdAxKlOZ7w9pR_aL8Kr2LheY9#+TVQ`4gdm9^1=oNi}{lmgC989m)oxDPSV?|bT
zvENlXKDM~%(jt0z*uVvn4r-XZ0NbYglq}&#i&ds&WX^(vlG-qmqyt6_GW6P6c_|x4
zE>ufEPc8Q!^|NrxN?s^cbdLJ3WB4c|<VFN5LM@<@m3zg3R}9k7ASNq>`Tc9*xdp0!
jd0gus4{nvyp3;4<7`(61L3#vFl_4luRhdGmN6-Hk9ug+S

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map
new file mode 100644
index 0000000..b9bbc8e
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::AODE" name="bayesnet::AODE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="29,226,149,252"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5
new file mode 100644
index 0000000..349ca86
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5
@@ -0,0 +1 @@
+6e36b83aa01980726c9835edea89fb3f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..84bdbab593f7163ed7049b04da4cbf725943e61b
GIT binary patch
literal 10014
zcmcJVcUV;2vgS7#1VluMlB5BZBtbwj2A~xI1p&z!B!lEEC_yp^s3a8;k(_hRNkk-P
zP{}#xTRroAXU@!-d+*F2=dqs$*wW43t7=vK-nUkel7cMh8QL=lf{>!+?mU98`3QoA
zMTigIji#Iuz!!Xj`?7bCQ_R2jRcX-(!i1pjNUOLcERT7rsBBkDuI(~h(nBdpNv#o)
z(Nf?0OwF*)s~r3+)#LI__4$k1V~!ayMIWDWew|roc(7<RVE$744NB-%uVrGgG?`vA
zZ!E6FsNqv=qFdNF8v;I^4PK`w*LU#r{RvE|$Gmhc@*Gx&Hph}zoon_t61xx|CPLr;
z@uEi$thBbZ(V*@9`CpO07>_{B4_3Nvwu`RNIV?+~Oy#1s+G=B12|aIbFe5bdyN*Qm
z6=lz6MamhZ=L%S4!yGDf`E!j4eGLPdh`%!Va(?k8%zuC8a;xt(%muye9Zj2yR8%ai
ztau~ERt2)+LU>PN*SC5Vorh-^7lWS^n2@$wbqo({RGu6xUb%8b>i&IVHid-1PoGdB
zH2nC;_wV0*;&j}IG>a{tE2I@1?pv6f=elm1RBp6$*gkvK@RFEn?c{Kk<??0h6q(Rl
zIywwVZVOi{k_TcJlOj1dI3nM@GY{8DxF#lc>E_LwRU)df#+B>MbYHTvnygC3@DmjR
zdeamQ$17c3W)qz+Y0SRmH?<wmcAlE+NeK)MZTgXVe|;ug@-n<VO)(iCp(eq{yxq*g
z;+Y(&m6a9Tu@7el;?vl8=hy7)%+837?1KlS-;%@^BQ|%?PEJl*3JPc4IfR7bu&}UD
zZT|lF{R0Ee?pp9m#!prpE0z})7R>V0%a=;jIV&CJqxxpwcA50|^=+4TO*I7Y^Ya&|
z-FPd{hCNv{Q|K`NNFiP@t7E<YU|gB8JmcBU(ojff=(5x4(f%en>i6&8xZhJxkJD4q
zXwiHE0<Y)i=LN&_oaoW{MMW`LSy_U~6Wr|V0YgJWc4vw5b8>hFvbFC!J3HTtYGl11
zo12~<gnIk-ZQJ+nN(ToAKf1fa=>#pA(A>J!2|+<Y_e9yEgBk+JW>1a}(NTDKcqC+G
zX$omG-#^^muP5fYLN&$Xy-zF~&hUVThX)@IZ@pr*ngvaH@nTPJZ?vfM%BPYNp&PWM
zrr#1Uix6)$?mC<J8Wm)1Z9Q7$E`+v+<fxoYa({gwVy#KMG2Ilr|NS=E)sg-K>kP8u
zg`<I*le-8fC+CtqeS3Sm%ifxPl(ygKgh-~i>Z3>X%(wk9w_jk|{W&<8SX^9uf7l|2
z_r{Hw-EnuDaL@EFU*5;Z(@E}4;vDSltp)Q`&;3YS5f*4g-n@C!`tBX=pFe;2goWR<
zwY8zzt}1`NE-tQpbsX*+9<#Hx^?i6aS*Q#Pnva7cSVu?4(#pzMS(yR{2WNjem?yui
z>}_gl>LpPpPUT0B)KygO*x1-WjC;)l>=*m95_k>q+cKo_YfDRoX-V+^%+B&NG5Iih
zZbfzpwq^6%o0zcadT#ewmyGx&L`2kv(g|&p%_hy@kcrj$_#jCVo*J%UMb#q<epw>B
zs}qW$GASW%Zw%m<Njh$sB#f|UK(M@ahD=dy@TB38$*Xxh%Qs|XWg&Am%T0|c#)<|@
z?N~fKJ;~|mLjxGx2qD4|#x$p!lBa%fOLN<9M@O68n2j`4V4CN$Zt$kd#K_bX2iaMj
z2siGCts5Jo4>(Kj+hf+~Pf90szPh?PFg(2FISzr;`L3=mm)$Yvhsw%+uv=3@ogjvO
z0RaS;Sy*@tn@JMH-TO`A$DS0LktezSp~)CQq|T$5(dYe1Xt1MPR;zZAT9XN@?K;&&
z*hjX`&H*S#*WQnhkF!#QW=5mOL-u32G;_^*E|*qR?4~bU46(LKOG{IWI%Ve5lapgr
z=|D{UZU>xY78a&{`0(Lio*{vjmKK7ntgNV4d)$QkCo32V@gpEJ===H@@rjB$4|`Ys
zodA)(zCIx_@ojVSYbbPmsohMjX*YwBk&#|wAbDV5U@dGr(Y~40)tn>UwB9;1fnm#n
zn*J=!fSTiFo56fzV%T(kqoZ1t+x?nfzI@3Ya@O?BeQauGc11%&W9@i%!a4o-Y_fOr
zpRRc6{N9t3{+@Wd6|_yW$B$2FPxIb)i`B>YNMB#y^|$ih&5ID9Xm&+|t+}2noSb*;
z?fEt~H_74Q5JDoNhe;*oeb*YBn)HYAjla)3v}bX6dwcKg?Y+;;l%IESbiDB{KHhHr
z2Ww}-O$rXR>=!yYviI(tVQ^pK9d(}YyjMZnb?WI=tgEhRHGKb&T?vgQ`ug>2=FXTZ
zqh;Ux>MEI{qT(e959$Jwt_6n`dQqpz_81Or30^C098Jfc0|UFl->PWHWW!xWD>_?E
z3TQ-~mJlRC#PJNl*-N$Xs}D6a&OoZa@b||?&N7Gv!UD5uJ^R!7yrM!B6K@m>bp=bS
z)Rq}4TtsXve$*8Xj@$C`BtLq4A1W#N3=XPmReR8Qd3gl}1wFLJ88XOtfWV5FSz4-u
zb$4_$v@m*GI?^FqZsOOjT~m7a@HrG8!=_gksU<vwKc=Ku{q-PIQ_rnNil>%KCYm8B
z_4wZE3DD-b?^;)$o*a&iS1jAmAJflPhm_sko^2X`!)r)QLD2v^%Upn#4Tbt{Ch)_E
z&+c2o&8^K%LtESHGcz+~UdL|u`1tvil?kY~uV3Fm#GF^O(wusK{Fs}Xs(Y9s^Dv{&
zetV(M(!wHT$kN2YK|otun}&v_Eh6IF%5YIeZ*T-e<H~YlOUvevX>!pJ8`^p>_qj-7
znEUPuE82RrG?Ic%UTJu~bnL_+XQm}rzrp47cy|+Ocsp<ZfsTfTc@dd--_;I2A*<m#
zi3+l6YHH<WWjzxUx@9A`oxJh}CPdu$zlm237W7eBln}a4=T=bC$Hc`IKzKV&biMXd
zmFq5Eyx5*qm?-LO51nnSc))9R3QB6?PDg%cve!WnyF$X;X4O**t0)!jO7SO)?uwAZ
z?5^A6i|NW~>RMW(8N73f^aK3gJm>H0suSDCsfl2^Mik0(dd{W@s@qIjvR8ddxWuag
z9e2`TDjuh~eOyOj`(K1|5)R$syAB5r+0&|?e#y)vQIyz6F?b)@ksC~v5B<)*>wV|W
z9VSW1i6?1PDl(O!%1U_TM$#AWMBqKnEtipi{E_NsCLBn;A8~`W>u%KHwp$hd!ox)T
zjy}d7>ggZD3riY5Z>98TIXID)Bs9uPY_96A%_oIl$PQ3v5v6_}z)BP@TyeH&@zkCA
zB|}!%FJWXBOUh7suEIOQ%gG-7mDR+E;NuHigbiWqU}_YtV7Ngc?Zkv`ZeS`z3eT^9
zDOh~SPi{nj?wnSUBb?85p{rnvR!&fl`WnO}8YtgLas8SoVT!+j>(rIYt!LLZI)2KX
zS4I0|<SYAfpu`R~IxZNlAO=eG@5Rm(NaH$eM(ECuz3J=nni7Hc`;at7)5l&sZ9$>;
zW_+j|h|ldtE?XXx{nXg{@*J0kBS1h<u--;D;ivZZmtN=j^AqzZgOLnod{!4Iz%Oys
ze{f0T4t+DCA^Kixv}{MJA8CvtF?vvfomZHf5>PPrfz=#U`)AervTYMee^53Ub$I$Y
zO7r!b$mQ0@&C^M@NRacBE7xuxHD=M@Tn<p|3#=tVh_i<hk49>|t4wNK6tiqM)#IB&
zik@`N?aNKM1*X3IUmW)@VE6C6;B<U<LN@HuzIa>O^3b2Il@Q}!W(cA4Ri0-~Ttes3
zQ7014E2FE+eM#EhlKGq+DJZnY%IvIZw~3AUv!0!i)1wt9b7rA)&?KJ3?qZel`i*jn
ziH(wXow;WBtChT><ZAz4eEKhsG5M2;3UKx6)wZ{+!Vj#hxO7~m@J78)kKgc{o;`uK
zNdeuyeTI~j)MX((?fdZXLd534&!3a&X-T&<NBRy&skpVIppx$_j|5a!iY*Q1H89UQ
zUP!|)%g;Zbo}T`VvyQvIp&>Flx_5D=JK?5Z#Y#B_o9<d#a>jCNzhd-0BA=R?681b0
zKx*}_PlgJOEBTt({5PmMej&f0V8-6weo(Wltc-+^kO?g)Adm~)dSu4j-26(1ea?s#
z6cX9srXR*NO$Jk`_v11px-A6@va_=Xtj;n@BmfvxWn27(ls~>L4Hew<KJkb$a&^6l
z<&fSmtUkD)ta!|d!NbpKX(M9I!!A)q78V?unwnM;HQIo=1#k-qiE0@K6h^wby4l(l
zvCxZw@$ScR>H{#L`S|&xKYaMGwY{C1oXjX>IVcqcE#M{v1x1XLJR3y-8RNI(!`)~U
z@tHH!3=9g13N0UQ2W-5g(oy0*(LLFq3S$s|2mD2H=FBuSIN2!9Yu7%erLjXMprH{#
zMTa^b4S^9HsoeY~dKG<sY;?2~T0zvWVyh7sC`(ti9Y;_8L6Uq7#>U2C9(&i@vZad!
zDT@z`7W1Hqou%P>@!-J&pcg@HEv>ov`8KF=p%A%BK&%+S%<Za=AAJE^k0$-d=4NIZ
zc&hh4ststz0ONrO=>PfiI>3HiU7fsw0vlT4E#FJP@b>qvZf^PS-}^wH*jiuz&|`)|
zn;0ASbaVs*ms^^f8|djV>3Xc+6%-OGC@g$!*b-(8y*&8UtGVUnu7d+N+E5wmvGN#x
zlTIer8?6X66_u=CUG3442R<(D8r0$ZA+{k$nQxt)zcO;FhnIH%($jm)UJqxL3AXk(
ze@v6u{yDLOW&u%<?72gO-l*CgpV^x4MgK6F7_kTm3o|h>`I9Bif}@8<2j#C~2(<8N
zFX$4Nouw!3`JG?CUi<Uwm+fG#zWn|Bh7k0s%F5SknVKbG7X6vb=#{aGI7qe3jEs~z
zz4vu`lg*)YWk7C8lHN&>U!&EYqTa{bYVbkO86C=VVT&l4Kgl;DO7=c+jkk*O)YSNt
znrgQ;StsyTUNC%-+DOw-KSQx<-bPWnxNmodHk?6xIHS7c*`0_)uS2dYR|sK&9v6e=
zdq1!Ui)lOeof(&afaTh?Ge9XmAOVnC;MR^fo)%aLeZhG6Xz5IiqBDrnqes|&bw225
zHfByv5+Fgj2M=DN(9}ZKmoQux5<(I}&5I2PChW0io91?Od>nJS=paHJDid$D^Y|Z-
zr#-Q^z1b~kxcR4xY3ON9R$gvj+W1xpd)55mCv^0I2#M2dgmcaIU4S%5>_QDLWb#*A
zG_|;!z!_rV$b^Ith#d4m1i5wV*6Z0UxHCIDJN05q8V3>jKi?9GC(X}!dUz<Qs(vPM
z`hNpG>k@)?)p*Z~l$7}Y#C2PPVf3Q5zuRNDlbMQ}>s6B%78l)@Y!sJ<oMr6~LM#R2
zW87oY6cXzJopSAe-+LV!TR$>F2b&b}0doHM>C+vefrOjSCRbL%Op{#kiHL~qArQU5
z@^TS~*mD$Uv2zp@ep_1(7cN|25)`D2<I(kp&23;{@OnhCc+i{zfv2aXql=l@+}K!K
zZ(($<SpKh&4O3Lh6DImG)yDg9B(6H+k#~QqVRMK+pd$`8_Lm;BHxUt1DLr!0ZH+gd
z{rL_u6*gN)c=+tW_96{6b?e54eU#CoN9VEDM$4Wh4nMemKLs?2Y$)yBEY*&_47Gx+
ztWcAJw>>>Qz|h7<MyT7jZk1XLWGh%S@7zG4oBtbZD|6C}HMSlu3<98o+;({OETyKV
z#(v=CQl(7s4N7PZs)s-0Pj(7riu;@~c=oZJ%Kd-GvtFskDk@h>emJd+wz+QpaU9V(
zOboz4)G$v6pZCE$dy=r-$L`(FSw-kaL|VFq#l;&x)0H{7xmO-@^<$!#omN9XwBW9r
zF4F4xP))4`c7xr~-a1Cf(R)eMRjarTe3XRHto@2soQ5@T!LXlpm@SU&fp+i-h#V;|
zuj+!1bJk2kze6|)2hK}Vsz~ELQNjzzjHF+8C&sO#tiXQ~^~n&$m~R>{RKfWB;S5tp
zsiD%{$O4P9NVzD7&Y>HGo)K@_1}OOV%L^8jL@Q3t-~Lc=k;Y+t;}$C-AZV~xE!;M}
z^zP@q%E4z$Jc^xo*GXz~Cr)^T0}1nSBIOW0Ts>cWZwDuFbGBH@v-y|(vUQSxf)tSm
z#806)H<35W(2Mhck{x($eXEi2OP$s72(FlhmTe8c#Ul)&MWRr0K4lHu!MG^lET$NW
z`@{r$ySKMqkG?0Ebn3d@%)xi`!{Af%N)r24@|#F{Df<S$^Y5285MDWU=6)j9^d!Q3
zmU9_|xfQZTRGGAEZq`@^PxVbL&h{#@Or1xlI8rQn?h(3~MyiPC#-zssMai@1<DmxM
zT{gpyCDpoHf=_Pb9=#TLXOWj}^44VJbIy5HrdUd+!V`|LVs%?A@o)}pt#g$Y&rv6V
zpArLUhQf@9DJjgb^~_G0^nUf(C_9f1pfs7h%vDQWGrJ6$hdE6!;7Y;&Pv+Ubz{$V=
z!r(HM=j^Xv33%tsb9R2#BlO6mV4+A^6y1+9NY$4^DIcVF%y1C_+E7pdRG{8=%pWQ7
zR_TNf4-aR1*JmX!Q5qp@YimBRDa7M1sC-RL#VaZ*a<Wj&jKq6<?(anV2lFp#2ajLl
z=9YnO2Tl4<NUvxYC}*$~dY27(YL58)&(e$3UUW2BEEf<Em`sh+sRvi!eeZmNQlgc@
z+rJFHg%IVD$1X0yz&~!DM*)mpfs9^zSYS_ROUQ}j{us}5)F#2l8F!f>Ei5V`wS8PQ
z^O~kCrMX!qqA`N`cDb0UrY12XBct4-iE6ATy1HcGV3`RdN-7#Zk%8*#PsTXDyva#P
z{O;Ym@<f^ni_MMS9oK0?J-;qT$}-eJ*>M;9rokn?U8gaDRck5OV8nNo-&|9ZuG55H
zOiZl&lEq^A){X~G+f!4a_%1nl`8!flNM%)39{71+Ngz_Hs+9Hh_2+15Ux6?cJKpL=
zd@gdR>W!5<CJqylkTinUI)i{g(AXG6L4M%^F2EIvot=Y!?DK>8>rPARAi)j5ylCy}
z!n57(NRNx78u!?Iu(!Wo2O$D^f6LG?rAv@qF)0N4xY$}P&fZ!B85S~9V$%YmGv*+B
zYz3`Yq`n9qQ*dzb6x90VkrI~c*Uv#u-|J02c>#U~!}$0(HJ=e-lFM|Ej&@v_W$5;U
z<q?}2u9M$!x`T88ow)xw{=7DR3xafOYs*Ml8jGKg53uPrRPd<I_V$l(w?L3XKYupX
z)=E|HO$S?ATbn$6dbK5tzT@@l3m5}&WF&rjdmB=2wA_)ywDXNLhWsug%}q@`de^T@
zN+yG~dNh|3Zdr_u0+Ybh#N_jjoX$@9>Vt(0)e<Q0)O2(mH7DCSi4uH#d~TUds*G+6
zqKL%NTEox9?a=~LGA!Hm>88xDU#H`Az0e3;6wJAg;oe-R@GW-pp&+VXPIw(!<!zp~
zxa;k!_2|*ZCHIxGSz)VT0S!*dBysoHd`{5cufSryBxp$uX2Ia_@IA;QRxvOEXWreg
zkc$HOp9-eyA{f5cso@3IlMJ^;Vc=|ca#}_PM~ThEH(l@Jn0(Gna90xRpH0={rN)9W
zyS6`@Try<hEWLu3lOu%Zue)K<?{MI<*(KzTc^1pQp>dN#b=_)@x5!=-mF|^Uuu+a?
zB~PDjmOGHxE6)6&+c}%x+yBq@*>jNPxU`}8VC~gw+En3zl_t7cNx{v{jUeC%bLv)K
zI^12wqz49_JT}_c|H(m1?{&pE^ma4N`rS$5dxsOJVc`G02naCj{ro^Z-zdmlt7SKE
z?r&@w06ra_p)IS>u-yJ2<XD`OPC#1j*47fvm?Or9J`WoULfg0aBa)^0x7$sw*1yfM
zoNBCv|37M4Xxd$0mwxi(?Z$L&c{wc<fKrF~^CsUCf?_z-ZsiPMh7jT6JJc%`s}iYW
zVLYmPBO2YR@nJu;xrz_;G8CS~RusB&IjN6mRB+SZw9vA&TL`WKXAD6U5=CC(5S-Nm
zl)A#j^%A`7Teowni}ok${H|QR`Vik8qz71-E&SbLelK3&{>J9gDm~}u=qPvpJ`VbI
zObjy{8$Rd&%zOiM9$4xml9G~*jg42R1}QbIuzgfB9_s{RNx}3&;$+V-W2Cl^SO;vF
z-zjM$8pQ|Sl@mSnm&><|wXDrOwOPVx`2Bf#c|qm9mr2pTbqgEJ=?82Svz>2m!>8gC
z5b#S#BrOi)n1ZP2=;%O4q0wmE+Gn%h9L<HexI!5i7%tr~zfh#XrIw@9Ra`9iuFC`*
z<KDi$n8?UT5+b50kZvMb_eTceQ8bK<-KNQ&;Nzmo^c(OO97Hgzk1B)IRd{n<`swWO
zGT2_&b2~G8>obBDd3^+$jyfYIhK4LyxnI7>xn`?o{O(DSwbF?Tv-p+NoGPTUZjh4#
zh^G4ZvExY3jx<Z#t5;{*^W~!e*4Sse;s>nUmveS_bSej*)^K(l&8H>1Og9pxCXVO#
zv!P)w(qqK8onCdakPbtEB@T;$CY@Pj?TEvV+1X)GF)(+r58Fj_OUu`ANVHX`FW&$E
z#zA%mC0`CN!^miVfBzfz?NY2U75;oCb(X)US5De2LPA0*<>kXk56)aOUR}i==4#F7
zj0ZDv%dM*FoeCa*j#m#IYWpa$Q8S`#2#>I;aECZsu5;Snbl`)NP~UP%eAJ5<6XR_8
z6KyeH-i>($efa*kUf-?ELJ5Z`x3vDW!Szv9fyE;ZyMg-W4z!#&@3B76{PbrPmyn(l
z0=T)nMu<pZ6N)YUvR8S)$#v;h9_K;4k(Tc#dCL4IUvkD1>8}pv`qwaS7BBgF)Qhm)
z(O=TEjW;nMB<*xA$mI^3mdKL*hd(8${(8;^Pp6R6lN;XbZy&x`X>mR}+(qBT(T*Mt
zq8Y*xplrPDTNWQ6|3Y0y7)EzE5iZnsoV^)ub6{EESH9QuA<R!?^{OKrJXutoQ9YGZ
z$X_r0PIkG~i4A8x_t=Cw8f-K&74ecYfJ2vA(e*4+B^|GvG|pv6zoHs;Lit+CE><_L
zV&P)t%AJ>w!i~m#!&*C9O<If1v{qt>CrZBRRlpJ)qK`OXNd-*Ya^yjL_R4$n8gsEY
zADqkX1}XwL^2ZQnUg5d_38{ax!@t19zwLs4t#{T^x#J=w7B%1ZSx3tI+Ha{4P`@jx
z2Q0#*tJR0r{ZdJ`wSG&})A`D=zt?d*bxdhqAM2`}vY>+#G}~%>%mik!MkOL<9h!L#
zoQOzB?kFimP$+N-59idJyn?PAmlR&elPB{RhX0>W_>%5mb!mRv?UK0Lg^pORXHHiY
z))#YXE(-}!!Q_LQ-$XvHB|biW9Zc})`j^CJR#r`c<Se!@&@`xjLDbHR(flDYDf!|K
zb4o8>ykJ71J}GO0-Qr)TH&-0yeOTh%0EKM%Cr3-^2h(4`MZbRkzF85nxU<p0GXopb
z(`#I4!ozQA$<pI^dqA5ZBRjhpMk4DCWRmb%xG;7KfccR3>8|$-<LO?2{U~hthfkgm
zh5lJcmGC|h)A2rb{FIjFM}PA5cb;L3Ep#>jF~|K<n$hq4_Ofc(T3F~ghjQ-l8$v>c
z-~vQ^sy=p|jg6(mT<m5E`uv&A#nsjEQ0z&p9aLaz)AW^Lzy$vx%N1oSwrC>Bqct2#
zPIVucM!(O>A_a4%eWt>B)gR_|z$-)~v<};RP~m36L|1BIEE$}edp(3s=qz%Mh9-!H
z-{eYnmF*OEvGv$1XlcxRe2<1sp{Frm1|!OeLa*o~S}B9^zyK2VIuZt^V*`+a4qV&S
zg_&m7u_t?grGP*O{qp5Xrg|Rs)vH&j#aym4c<t#UYJR(;&$^i<Bp8%G%R^_PaatWG
z1y?dlH5g{-mq9Q`@!g@j2ZsY%FlPZ!Q?PynC;Q#rAAy@OldKYJdN5N60I<8_g=Xpq
z7#jh`!utDFA&!$l>`6Wq6%~DgLN?<eut=51J0o&(a<woxUjr<g?tIG+mJJT#Fof?@
zUw>=VX~fE9@;O07e0(tccyzL>cIx2>tab0+y*11Xm)V*MR>Y=yA0K$`UPR8tOP4}m
z;4uZ9w|wDO{17SQuRniG<f2}v>A2#>#Kd6c7LhSAFJYGB0Yga4yc~pT&tDUJNX@{I
zkUJV0v?qHllJ!kZc&6P+FCkIDBKh9m?++<O0c%|U@ouo*b?P;k*w(eQ5P&DM_b1+F
zt)%9d6zFU3U@^yTvK9-)%8FHb@c6@*FNB&U)_0AKSuu=@8ArhYt$5f39M>ezohO+(
zRkYxqB0l6SG7j(Za>nqpz0#8<JVo$HX<xKOv$OE<C=%J<y^DwWIg&-zNz??~18C_*
zH?zU@fC#&!d7d8DoCbgX{8`};8yow&<HAoJt*f);9|l^NS87hZTwGi*Ne``3_}L#4
zxy!t~<jQFZFYENAKr3KAw!QrxcssQQd6VFwBH7=pA@t8xGn(MfgB8UKrfLMR5&^)w
zKLxvj4=O~4rTTD16r=zrK!c*>u|t{$IKgM217S`;Ff%j59HkHd5NzW-y*liS5inVr
zA$`tWyoiUq5wxQHmM9tkCLtmP&KxL?Ozu>9Hs!Q!8)si%-`9@ML?Jz^bSCC!hV>@C
zSntue&VBztEok{BU)=te96&Hx1d0gMK_jdO6Z*VN*rjwWYDiER1%1rTJqN?8+8_${
zT<b9rL<){AfY8f*+WT2ymgvkG-<ldp)f}Cy&c^4@pJT$W?L3xxX~1qQv(Fr!)v9=i
zahb<f*Y)>BL~URR1tx_Z<{3dY!kF(xn~|?-#`4AySl&Gg`5(0(KfdVe=O?;MVPQmI
z4*%a|@I1JqPe?_((uG_?LIUQ84VdJYJl*eZj~j$<bzF5+R4zCz52toEVmvDZtS<<U
z9@NP85O88&0Nj9V)Eh0e!z>f%x3w|n31%)XQdoGE;bmds;%>L%;iYgeP?%vaf~#DT
zzX}d2<`@Yj*j!MoZe{dMAFkH4KrBVYOMogt&8p`ayzJZQGT{$nlnjGF>||8a^^n#S
z!eD*EW0MqlUs-txMr^g<p(<%=2G{u!81Ah>Qo>(-|M{~F(Et?cv#`RRhda#IuH7RV
zq<0>D4(0BWq}L^s-TsF0(r6h4pb6w<6VUlf*mN##ZU)nhLE>IPE9nmqTRXctK-$+c
z_wU_%-I6_qDYE7k7Q7byoFsID^80~dVKR{9?HwIc^YcM?#FUf0ijsH1^s$%y1Y-zH
zg_86VgF=>BIPv3$FXYb8zP=BorPQDa1He)T2|kd{2rjsGETvmjb+@xt!jyk<q^GB+
z-OA`qkL^A+GjsELSj$j2E^{ji1t$h(6ul29w6wL?D<+Q5VzxD?)>kkqAfXqz0P8B0
zpP#?Rc)HGb&%ME)w1FjD%(u#YcN*FbWWpVYBGhk84F%Z-TU{UItl872b$(<LgUfNN
zVU|Ti2yC(@fKNy(@{1Q=LeH52aexUc;xK#yCxFNq7|tpxb}P(cY*sLCBje%%es{zf
zg0jPu<44NM>rg&1Ra+*79NsSL;o*^%bLntrxuM$g5J65(PT*KT1LMgWL1}rplL%(`
z0LJnM?&HJF<kL}O8vB&_kx(^Jm!-UxSKvf?4Ge4>dU}e(p@VX*NjSg+g6DUVHC(|Q
za6m^zL`VBUz#Uxc@DZ5az#e`9S{HPG%rWZW<HvZ>ZI}YIGe2HfB#3pTWHa0Ixnq^l
z6B*bAP!VK8sC#}pjY=IZhi<d3R&FZDb<2))lS;Cb(1|#hl^jASDlQE`?4a7f>T7Cq
z6i>L8#-h;e_Nh6UMMSmw6VrWW0$?9F$c+d^(|LuCGD6vqadQ)a;06Q+5}L-bkod%#
z$gBjzZ5YfnhXM#wOMOj<e5o1!_X#dx<4`R%wE$>0rU@FhxnUD~G;%l$Mo(hNii(TF
s&P%KEprg1&D)6Px;bLB;eaGITkGtcUcd{zsz#D?Tt8gd#mY(l_05|z$O#lD@

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html b/docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html
new file mode 100644
index 0000000..761d28d
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html
@@ -0,0 +1,184 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_a_o_d_e_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::AODELd Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>AODELd</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X_, torch::Tensor &amp;y_, const std::vector&lt; std::string &gt; &amp;features_, const std::string &amp;className_, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states_) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;AODELd&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~AODELd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld.html b/docs/manual/classbayesnet_1_1_a_o_d_e_ld.html
new file mode 100644
index 0000000..8598fec
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e_ld.html
@@ -0,0 +1,464 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::AODELd Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_a_o_d_e_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_a_o_d_e_ld-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::AODELd Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::AODELd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_ld_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_a_o_d_e_ld_inherit__map" id="abayesnet_1_1_a_o_d_e_ld_inherit__map">
+<area shape="rect" title=" " alt="" coords="102,226,236,252"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" title=" " alt="" coords="116,187,157,224,154,228,112,191"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="184,153,317,178"/>
+<area shape="poly" title=" " alt="" coords="227,191,184,228,181,224,223,187"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::AODELd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_a_o_d_e_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_ld_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_a_o_d_e_ld_coll__map" id="abayesnet_1_1_a_o_d_e_ld_coll__map">
+<area shape="rect" title=" " alt="" coords="189,241,323,267"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" title=" " alt="" coords="202,202,244,239,241,243,199,206"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="270,168,404,193"/>
+<area shape="poly" title=" " alt="" coords="314,206,271,243,268,239,310,202"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a6b31bba8f3dd93d388ab6888a407d13b" id="r_a6b31bba8f3dd93d388ab6888a407d13b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6b31bba8f3dd93d388ab6888a407d13b">AODELd</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a6b31bba8f3dd93d388ab6888a407d13b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a07234e9d9ed9590d857c666e97faf311" id="r_a07234e9d9ed9590d857c666e97faf311"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a07234e9d9ed9590d857c666e97faf311">fit</a> (torch::Tensor &amp;X_, torch::Tensor &amp;y_, const std::vector&lt; std::string &gt; &amp;features_, const std::string &amp;className_, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states_) override</td></tr>
+<tr class="separator:a07234e9d9ed9590d857c666e97faf311"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7d695d7ee5688d100104655259006ea2" id="r_a7d695d7ee5688d100104655259006ea2"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7d695d7ee5688d100104655259006ea2">graph</a> (const std::string &amp;name=&quot;AODELd&quot;) const override</td></tr>
+<tr class="separator:a7d695d7ee5688d100104655259006ea2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
+<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:ad4fe80d731bb0f6648fc540302f888d7" id="r_ad4fe80d731bb0f6648fc540302f888d7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad4fe80d731bb0f6648fc540302f888d7">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ad4fe80d731bb0f6648fc540302f888d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a52ce4104acdc3ce94114230ea38f8516" id="r_a52ce4104acdc3ce94114230ea38f8516"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a52ce4104acdc3ce94114230ea38f8516">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a52ce4104acdc3ce94114230ea38f8516"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
+<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
+<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
+<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
+<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8h_source.html#l00014">14</a> of file <a class="el" href="_a_o_d_e_ld_8h_source.html">AODELd.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a6b31bba8f3dd93d388ab6888a407d13b" name="a6b31bba8f3dd93d388ab6888a407d13b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6b31bba8f3dd93d388ab6888a407d13b">&#9670;&#160;</a></span>AODELd()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::AODELd::AODELd </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">true</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a52ce4104acdc3ce94114230ea38f8516" name="a52ce4104acdc3ce94114230ea38f8516"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a52ce4104acdc3ce94114230ea38f8516">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::AODELd::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00028">28</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a07234e9d9ed9590d857c666e97faf311" name="a07234e9d9ed9590d857c666e97faf311"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a07234e9d9ed9590d857c666e97faf311">&#9670;&#160;</a></span>fit()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> &amp; bayesnet::AODELd::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X_</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y_</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features_</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className_</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states_</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00013">13</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a7d695d7ee5688d100104655259006ea2" name="a7d695d7ee5688d100104655259006ea2"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a7d695d7ee5688d100104655259006ea2">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::AODELd::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;AODELd&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00043">43</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad4fe80d731bb0f6648fc540302f888d7" name="ad4fe80d731bb0f6648fc540302f888d7"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad4fe80d731bb0f6648fc540302f888d7">&#9670;&#160;</a></span>trainModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::AODELd::trainModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00037">37</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_ld_8h_source.html">AODELd.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map
new file mode 100644
index 0000000..4da9f75
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::AODELd" name="bayesnet::AODELd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="189,241,323,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="202,202,244,239,241,243,199,206"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="270,168,404,193"/>
+<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="314,206,271,243,268,239,310,202"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5
new file mode 100644
index 0000000..7e928dd
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5
@@ -0,0 +1 @@
+f651d150c08db011384ec50dda3d8bd9
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..3bab28d68e5c226d86c9650816c4b2fb56683b6c
GIT binary patch
literal 16871
zcmd74by!t#)F!$C=~hAnL^_oeBvqtSkWfJhDG`uv1SJIoNof$IL6DN}loDy_PU+6O
z&iBpCow+k}=Xvg57a!r_oW1w?#rmyy-*@rxv5G7q-VHniK?vpLq|^}vEf)Th;9$Wk
zhBt60;RlwXqO25hiTamPlNo^^w-9-$hZ@ca>l1Fe8papcTfO|_%#XJ|9P$WoMO6E_
z;C7I;43rq%&DBK9FI8Xr5@lRrRrRd0s!S{XkZ)8;Sy9nnfrpuYJ3Kl){o9p5FWWDj
zT?xIL#IMlb&oDI2?0D3@tbN(DAhxudAZ%Bgu$y3qMIwnq@AKb%JIMI%!5}DD#@O-R
z)rT~dBU1g;+uJ*0z0XleNhwDBFF9dEgZ`1_^6#%x%ZX|9cGU;C;TTcsbgQH?0Xesh
zS&{hlzOua2RHkqpL}@@&_K{XbI~lczy%}vQNviq5`sk}emvPs%e6#+HPZLXwt3R)?
zs@%GLTY2+3Vba4*1V(d%o1G7Stjh!j!?>!#7#Mv>8m+#y!#E46|MRWI%Al@Tep8;e
zlhuFQ|LB{=`3c)CMxGr0tUJ$FQ7ORmQv7mfriD_kIZG{#gpADRS+U8?c!k~2aB)!)
zk7*Ch{L<2x@x{u@N({d#5gtB18e-a;)barnztCmZgyx<#(iwfbxYK<tKBIgCqrPAD
z{wJqNm&~qRI`=I!iL=6Yx+am~;eVL!$Db@$1}P~h;0+b%=}|wkA54=aZf<SWTB(W4
znE50$S)Z=>#kz@5sJ^?Kuq~8M*4o;-La+9({cJPt-o^yA+u=sb$d6aN28~zFj^;v_
z`_iyO=<X9C?cLoi)NiW|Zljmx7Z#HE6Vv%+yhgkN0&tq!+U6GH-^#eUil`)sz5a4M
zB&2LJf$ep9wsb${?i-5Q^Mf(<UeAl;rK6or?tgr}tCjA@e3Pzgx2sCIbG~a4e=#;S
zW#r_{9Us2)qVh`kpcOwqe}5$}r+mM_w{PDx?j^PuJ~S~gi5jbh`vL<4bE0mGiP02P
z@8G@k*w?g}tfsogqE!F4^i5}VL29k`kpGVD#R9kI!_CQ>AEv!G#STVZ#fZBJ8oqkf
z_w%iu*#5v1!QCMyS(gHb<=<$h2mid|<EfEb?CiMx8OlxneolqBZPxr8m(=N7!a*=G
zG1=JI3S(<(-<Ypm<o}!uggtJw5Y#@I{2OP=8-CAeL)X`B6)tl;#Zc7H%O|5M9u0<7
zIXXJ3@9e~fkv*`ox`W&j5xFr@<>X&ici-LJJ&(Ha<26<WKE5Ii>VJPrn`G%ct|0ep
z=W(p6{t1@6ow|8jr>q&aK2L8zI*8&cSkBhrp{zd<EeRzh_VnruzN)Hf_3>i7*+k{t
z=VcZj=^y#s5)~aYiLY_pZ)^#o<h2^VSADusg?KS5M(d9h8VtD)OWX<VFltm5nlSRv
zRhzQhZ_w%iGuMYjdRlHxPvG~5Zo-d{dTXy=^-FwihA@ZgzhOO3`1ISK<Ku%;Qf?(k
zc-#mJ3p*OFyYM}n@}z6>CoU-AUg}Nu&&}l=%GZI>i42T>ZT&l>F??Qk{_m}vvT~`5
zSxL?=jj%1#%Xi1dNPQHi_Vmom`{Uguow1dH>}$0bCvT8?(_{}UIy$;5SXim>d8n=8
zqEL+8XP1zu)riK#r$~_vy(y=n^8HsE$2vO;3k#Q^V6-MVC8aC^3#|`kH#a-GytdW}
zmwskC-CJq;L@lJ=FTlde+TYaV4VJo?p&Y;b?_YOnDnq!Dy}f|AxOi-Ga&JNcP1&2_
z5bm12tGhcp&Ku*xjw^qBIkobpSNbzo78Y8%x|Ar$$!)f0Tj2cNlHb`|>AzB6Sje-u
zxX33Vkt87@;eL63Xjvv7ZaG$#-e*>F&}k-MyYeS}K|(NA=}JBOlML&Nvt##zQBz^q
zk&~mNt)uO^q1PO%RrwMlzbcG7DQ*y8t?}i`sjFW_<6&e>YZcBZO0cuFl?%VPxImph
z`S4urf<-Sh432+_Hmwi6vHHve`0n4YQ&`inu;BXVa;<Y@<mt<5=N}5s;$|yV!$U$s
zf<Jv)SnQ5p+1ThQHth{(%2Y}G6%Y`haR2np((%b!fnED&dZrHUy0h@^xVx|P^<iSC
zn{}qJ(`J0JF_Do{LPA0tBR{;EViOX&;6!eL(_kx>pcS_Dfg2d*B@V~!P{tP<8L5%p
zTRK8~|EzvwWTgAx`EXob97U{;&y_X1UWrq#)5A^Gpq9o6R#n&y7-QIvA3rPxbI8+D
zQ)7~o!Gu-U0x77dI$rl@gfR(OjMPWp*5PAh^scC==<4oXI6K~@x_Y%y@7=L)Pfw3-
zkr8fh@_kk1{-=*0KiCQ7e!i`s8a~$+x`fYNtzX>zM*HL!8D%Uso%`qB`<G(LZX3c9
zJMD}X{TYPG?mP0~C8JI{9)(f-92|i#i?j}-qSykXu<X|%Ib2J>0)z8w$xO$qoZd!7
zyZktLY83aUQuRX3NX~YB<VW@4q?>&79lpWXC79|1N=nMbr6s$D518&JE14^^vyJQP
z7I$>Yf(;A|m^#3@{uv(rsSyn}ZU+I$cqkK2Ss^%k_r+M#<(Zj=-KAdb3eT2r?E@jt
zg>{E&J>2Y9{<NIjyLAhB{rWY}b%LY$2-WGewV?X?2V6R31Vltc2%@d6Ew)vUF;ZlV
z-(|vIW;y2Pf72BQ`TY5_*Z8>Z-umb@a4xck8xud?ox8H7|1N!_jT-hy$?Iz(_RC&g
zUdZ}*MX^RwxR8*&o!uifwXkl%HynI?S1*s+?r*K;7R=ThPCnArr9ru6CRWz5_5ZNY
zmCemiPVMj0@o#@kx|}T~d$w{GRI4wJcq-dz7z=A>aCBBfkQy{Eu6>=e_U^~eNmqP5
zkNv3q$9g|jyNco1Zf$Qj{G56hB<^-FU3<FmsNiJ{xG;YhETez`S^Z$~bqov)MddY^
zE<WX*r*vO*lfUa$e0Wji_>kRrID){(l6=y)LPY(^69c~3>G}C9$k9gC=I;tSQ*bI*
z@F}<+xVwv?qoX6pyLaz~R&Kg3)BE`P&Rm>s`p3t|@Avdt{w;a`^QX|&YuEBQjm^zD
zc6N5GXBsgHZi-!xU{RKQ{``hk-qZKsf5{kSLrThYY^zh9)86EE|5ZQ3RF#vf2WQIp
zpKCFip-k=U?5w}klX#uaNG{uj8#V|0zHx1HnFNN8FdsiZ=ZhZAXEzUCF1o&1U3=FS
zLc4ufcS)-%am<88a2<L3cJoFzKTNx?ukUEapU%3C)@eG)ZKGjhqUy)nDT%z7H8+so
zIhvg7V?PT9>{~jk#K7)He!iuf^t|-wN)o4LlnH*2tCjz~syEfu+;Y0k8QFqRJyPkw
z$)X(RW4F}P01*cq2jT_(h@PIlp>hWs6SHA(kX-ftxj=?etl{~G;Oo5TR8&*}fr04q
zOe`!6Fdk|ltLB*|e_qG+r@FQ7RQWnTWz5XXd`)jh8RaS?*0#1qMB(W5?=i5q8nEd!
zj;<qr{`~ozkPtjSZv<9#4eVQLtjv<v?DwsBkDr6sI>HkZ6Wicu<{*}~LS%rgd#s`1
z<FGbl07nnf8<p61!veC(U+f&BU0(f$a1n0O9p@WDD>^$DdjI>j*rP{}wtGZ3Q}pWI
zSvxwm78*1ay6&6XuMKsdw2eVVvVDFy^$M03`JVI@d~347pKtODi?;UmQsBgR-VAY#
zJI{TBIO3SzsW9+9F1Q2rI{_hKdT1yyAr?laQfwoHf;c4>EKJNFFs!}({e}6C2;o<)
z1P~B<L~w-OPKu#VXFthQD5WMRmv(Y;a$FtwsG_2hAmYG*kB|RaFkTp@D<Udd3}f8e
z-JSat#VLPbqg#1&@2)&#L9xAJyTRRp^0ph}6>#9@AhOE66d!Wyy#4d(82fR#vr@)<
zomT#Hn}IB~vxP5ud7If;n_yYFg~U+{0|K959;uL(Bqk=J9E_mlUu($zhE^0qItBz}
zHKXl}U-6Zl*#7Il)zqA7HH!ONsTzGVg57a_gjYmF<awJ>j%Y9Vh05~sExOAiZ26*;
z6fY|)EBE7tFN)o!9pTLO_V(YBlj$H3LXxVqCXdEEoH@%IYq-6=ZEtNo4G~#uW$C$6
ztI_(mO6d&9!oJzorPM*R&i*8CYs+_6nNj|ZUTs1{L&HLuwtIBf+q!eDRTt&{Bgjj)
zVTXnsb8=Dz<(~`vD$PcvWMCBX5Vn$G)8-(7$|)f*51(_5wsSa9r`^wPk7QbVH_^=x
zz8{<Trje_wtEE)lXEG|$iX?_7v|z2{b)NUD9M)R@jr|<+c$aFERUn-qVl?sgI(Si{
z39HYsF);zG$?jJ}?_b<&4W>%dCZJzUfP|ktJF2+ToZ;53lrGH*Nde5Fji3xEt9|bO
zDS6Lm<c$S89xx`NU;Xs$8`HP+^cC7i%X#xHsi}*<$f&#<wx~O9?=bhP77gVXyG6Zw
z#;$QGD;I~r8}YR9Q-4MT?_iqJiX}ehn`(H(zmk~#mHyd*%=^^m-!F+=Qiqg<Y>B*L
z6%2knQapQWe4m*bTg{U5<R+em#_q#G+txk_@BJReI2Lxk{olc~7A7{0Z;|S+)-Opf
z+kdtG?Ka3cOGYP4_0jYonj%c6_)LR`{7U&0A~sOx`tvtMYP4Kfc4p%zcZzyL5-&6g
zl4r<E?%!KeS&s+HLzV*8WFF_Qde{f6yMKJ3=VkJH8fn>N4BcBvPnrLn``ec+)^(Np
zNA=f25_u$!@_r`5Po{LEP=SAL&`CBo&~y2P051N+M`IGQGSpsm*VeOBxDXoT0oni=
zYnRyg=A1$tDXI<{c-5bFT=d>KY&a?9t3LWyH3Q7|>1&da;@FMS;w9N_xJz71jq(C!
z_~cOqGLN&>zc860Jqh>!WS&Z9t)9zxla$H@Dv1lu;R_CP$uU?z!hFlij)|$CmN64m
znl_MK*~Pj#dE)hI15+gf2kDK-DXl!Ay>lv_@h5WDJ52WE-P0v{U$%#LTJzeph_s&}
z7Z|>QJ$LLFX5?m76=vG38HH5NgDuzi(z2+p4F0P1PvW*0V8u9M&2k?Y+<aSs=@)1k
zf0{U|zVy(y+z(cyC)I!oN0Irh-G>k8YV*{g10uLAtC1g4Q$?h=u+ph4Jl~S*r<}YQ
zSuFfDL`}c00%QMqM<X50d8~DkAVnXokXaPFpW;sB+~z0E`LJ3Ya*gZccYX1=2bde?
z=NF${=Js1lYCH&3!qESrkNb2+rX|(OGBII$dXb0OvqI1oW@Lpqm@HTLLGuIN(O9E+
z!(wF*i<HZ^b^&BFM2r237FznDiSvHJvmkG(g4+aIMQX1ZbZ-;MJUF-CPYC@J<@dlm
zNOJgaPo72UnYz&p9FFRP(^w;Ix@#1e?&#C_#Td0XLOVpXb00;DQa8VvV1_LIdu)M`
zllgEf^pR-^a^yDh@uqa8A6e=Zc0R)9N|OC}tm;g%E`$pybFgh_Ho39EN`igsIiB)d
znZ$HVRq6>@y`=_?;G9{qXJ5U){Qjv*{x9o;u9x{vD)b8B4E<jBo^R#Iu(7$1kCI1F
zVsY;7Jl2ef_;mVk9b@ab#0+aS@yS5#K3dy2J`Gng`mzC!S(C}ljYDw+Wn-R?-F*bi
zG<3x*RjuFmsQI!<!@?EuX(X!Em#Fl_XxI{%*u`-C>S@40YWYa|NJWJow8f-GKf@26
z&ByW<<eGhaNvBXNF()_0cD+R2iY3!&?-!et^nBo@jL|HMh?}e7HLtG<P3?nUSG^`<
zoA=#vFB{5KOxlRee&39DDW8(B*~L+#g=LJL!teG+{NCJ<DZtm%TS=71>9dy)d+nn@
zaYK5%$~E$DniC7XR6mn+Mp&FpfXZKHcR52JvK#b1FO8<_!k&++#zLhZR`1B+E;7-s
zU&D_}A9s_T@6*U4k8wvwYZD@&R-Z}QSFN+Dlxq0)P;8^r$}BH;QrIU;89uzC+u&Dt
z;wM?MAD^0u*ai0cS49uqL`7n21x)YieRrauH;*8TWzn~bDKc7^?tMI>U?_WZhp1mP
z;;3m%Jk;&SZ{`~hII(3rb6uB6!83=wW)SpeS9GMvkTl>VD^nHPxmm;iF&DG7qhn9_
zy<iB@^R2z33tU&ztEqw=qsGcz&C2#$d(9&0TZorU?xO)pS5xzxp#zCOfAfx*y%vA1
zU#D?7JJ8$jVUn_pVCcW1JTB$GnDkU}S{2I|Tgx{~b-!m|;OwQoBgR%<Cpy$6NgWE=
zjVUQ9`Q$ZALEN=w8_UZ_+LV-EmavIvV)Q60q~@6YJL6JNvyS?-a!b&>IeN=1q)+t8
zlUHg9cqy@I-o|pYn+*gkmQ!Or`aI()k#R4cK3!JV{t9<WXMFrilfji(+hUK<J-|~=
z47&HnG`k^vD`aKc>C9x!11gaaC{LU?-&NZ!seD;pHamPXC9D2#vgWikeDn6o@2`)#
zExOV$<wq%Ssy;UvE7N8(q;3noUtwbTPMcn~Mw^{IR^#?F+1tAb7r{rmFs4;@?klk4
zdsQF_QR<h3czCYph@qjO3^jqD10sODL?-2xl|4APxVj(}<%a=RW27*9H6eeH1RBWD
zt83g25BdZw#l7MYGLH1g>b37xF9Sb*e7!k6{aNY{=e>LPiZ{M^nJLW|e92H@|4!7P
zhvcc@#WM!eWI8dSA=YTWBj#@_WXndW_o6Sa%+Jr`>yve~y?XUZ2j*1e-Jn0BWP1X$
z8iV}65se25V!`5r&8bZjp6e2~j{Q1}%=05pxV?B05^8EU?~K>U=ts+b)K+E-%gfH9
z9qfP#eHzGbOH~VJU_{c(S*{eP6vowOY?)1>KAtW8B~&RYLe~jI5wH0%Z!AIuT9_0i
zqJ-r=V<IctCXd{~!p8Q*Lm<9O5Km(ubNG088(5#IXlSaPkG5u>J$(3Z4UGmH!YL1t
z7k`JRUZuVK!otFf6OT$<5qnJmLv^EOO$D2795EGr@&MxW-^;xn9qgD$WaSBlLtMtW
z`mAxdJu<DhGxml>96u#d-Ta<cL4nJ^u_@MC+<HQV?9CUtx+;(lC0yCUk^lRZGZoiv
zK-4QsHgfj)&c`h?lIDz+s-sMZHG(y-?rL1toL9k&qHp8HP`P~D++I~lj*ZP8b*^w0
zyZeIu?tI*^E1I0Zbpm0gw-t+}lZauIdNva`<k}8e3Zw|28f$_k#T8xhn3B50qY<R(
zFU0K+zA;RqHq6ncXfo_ZswP^Sh{(OC2Z-5M_KeXt5^)(GSSd?M;%==-{l)od4O+04
zf~AJSKg9Ztg~d7slO}wBjCj0D-m^nqx*e>?N~*WCv^WUHcZ<ra6lrVq3CM?$8nd?y
zGV;dby;Ykzw`Qap5LJIvRCd{*VlU8!&hun@Bi8@)Md5Ju2XAlUFvu2$pejqa!@+S9
z^-Zn6WZ!ARVfbPAF5sr`_6N1$c;02Yk9ffm)r(S}QOI_xJz34QGbuh6=-AZxX?3pZ
zW=yUek<iG+A(OLZc1B%4r*X9VmxMgs>D!5w<)wFG7lr>*M4AP=bE0^5Q!YE`xV5#l
z?6HCae|$GCKnT6*;RXLDs(#+>D5K<ldBzJzLw%<dPNI{k>5>le?Fu$F>!7q&Ux{28
zY1xaKkVU;KNspTc2Ga(xY8VH#A$wZQ%Q8gf)wh#iUg>M#j%zw*_zdFJb;Z@YeH+&_
zoP`W2>HdhSdz6p}c&+lYEy}$ol?=EMz_YVCBNNy3$^Gdj*M47)gg<t*OWV)e`#k_U
z6Ka)*75GrUPO_S3bTuWF#OcHFmEC=dx<2jLw5AvUUo)Q!>I$}Txz4>82|3_+eMmk%
zE)Vl06jG13nos*LH%YJ0Hd-^52AD}?I7L?$X6RL4!UruaCq4@BlT<OF7&hK#D<!Gl
zWtzmBYN=aJY)jJG6CapJr7}eGInP|<-pLJ<)Ob%uWiv4ptWkjGd=u}j%ynVKO|b*i
zv+7d+5>5}hv-Y>MsycBFh(?eQzSrI6HdihW+eNsrw&vr)R+VdZ2cqwu&z|3oqsOWr
zMQ82LVy&b7oDVVT1|B<Ks+RIpi)m!z8;zJ6L8;rrqP_di`wkyFNt0vbT=6&2mhtrz
zzbCt?Bq_k8ZX}hDAG&z?-uVToomQy&WuK_3@_8+GF(n{eU*9a}T@$xOIsQkCulQ1j
z@^RG^$+rl|qkXA`bvDKBE~+~x)nDp%hopV0$Dx-J=l7sYJ~<b;A-tdszy5;<k6SZR
z)duyhB}&5!i~<ww!gZT{UBjY5B$5F#W|d)~7w=5HDEE38d`MDBVYy;wWXxx(j#4L|
zDY#}HhK)^axQr`q(nt!(*gD2$@xPJDCRdnIW8(_sv3)=3f=nk)%AQb>y`oJFTGgDn
zmipr}1LNwzDoJU0y%IV;n1OsR7s{GmA*tkB`4O@qG_BVfiRKNJz6Mz{G9q~?jj5&d
zs|60?mymxSG7l~(Y^S7|9vr=P`+&bH;!UCq+w?VlrRw^3GA;C{MJC@|zkgq>%ITe{
zy;6%<*LU!{eIUC|zb+dX{9DsmAk+J)uLy?#ryDITj&~Wph7G3h&1>^kza&S#1b5)P
zfYp2Rl>~P>)|yeT_>_Q_>m04Qgw2+U8&d}7G(tQUi-Cn@kv)AN(RHct3td;D$F-6&
zp-=W=dr`#?i%0BUmONm`{++b@`-!#nmQ)Qtj#`)6CX#9%sqO^MPi%T+CEJOt3P(o5
zZ<dSfdC0J+;v>zcPXpF1j<c!N>g2*+KM)fa?*qo5=2d_z$KAW+_b-mpCV73>q+5-E
zks0|!Mg{in$S5rX2VnwErX-Gmkoy1lRtBkv-68=XkeN;dFLW#Iak*=c7-T-(@C6XL
zEAB2nl)1&VNl{V0P<r0Fe}C%EE+BzzK>j>_>b!4){=Z~Be6tE5`ITg6XMbAvu4a<=
zyH4m$aR^m93x~<~Y|tTkwocZ#p%4tE7#=hjG^6X@@_RrBF%VljyX{u$w@-r}SaNc4
zp@5FBuWul?7#Pr@*ewSfGb|}71Tf0K#<h|-HZOoB5W3uIBF+meFGnG^pP7K4iHVJU
zwsHEWzd!r+^QgaE>`<su1f_TFQUv)@-qFpn7AYR>3JwnD_&Hi;sdM8~E5}kL1n_%M
zkMsQ-cNl&_BWQ75o{ydVBl2rL%k0_6>J#I0W_eFfPpk3rzC|~V=SfT`K>F;=J-(l^
z%6Xds0yp))f3~pH8WRltMaGJL{{H=ggHa0XK*l5q3kx&Jr}fFf1IjE$!vU~a1SUy7
zoLFoNVPs&)`xm3c0vKVmPMHP0{7nh>7;)FV6o3<SO3WH4_1ya^4KCL7E`RkTiuU*S
zM?g`%RO@jn7oMq_oZ;_}{e@dkg`1ljkZGcuVlmI2Jrf+O1_~!TGBqd&e>h)9Hr)Mu
zf7s=4!bxX0%KfZ~_&x~|N+Yap;sSV*E$l8+Cq-;vv~Rw|sOxQd`uE-OLZ&JzM4Ods
zcSP>p`wfshiW#Z^pmNf#SA0m2W7Q2H1&Gh(j{ly!y1Cg6e}AEQGM*0Pnt5KOG!|+~
zF-b{1sQoxOu?66jsYAl!#Copv(-2`C449Zsq6_kwzOk`*X=!Pu4u~NDA)w#}SSX9(
z@3eZZE6j@v3)`?r>wnVmwey}f^k=H}cXkHF#>R4SaLmrO1PNPDKM2<jB0&6neR+k1
zzJPJ;ZEw#2GXAz$xoABpxX*0<Pr72KNA-WA_HPaXb#;t5o>N5aXBS;iP};+0ygS=&
zW9k^p)wZkmLSuSeyxBs9O?X2pt&hzO*u&FY`7n7oxk8D<_2S+l&&!LFr(9w#J4|<#
zi>)G`mzuX^Ww8OW3|rD)X%HG5JYVv<UoM<l&_W-upV+Xl20(Oxd9VdWfdChG1^|3X
zQ&ZDB&x(A2gvrc!%>_hNX&=P&yt|!1GaNVKbB|a=<W0^L!Gi_g3<a}9bS$1KP*CY~
zHfkm3{F(X>*qib{VegZdN`b*yp{PQ|e5zKw(tgFzgNB5}tE2?d94z;p4%V&xeQ6*I
z0HcRg4jb_T*5{`4G@8X|5vEBo6##%ukBG&uAaZhYD8kG2VErTDnrV<Y!ig1+RA2sE
z$~oz_DQ@w%1Q(LS2M-<~jvM38I8@^WE%Pp&{wpY*+c`Bwr~O^GL1@bT$zo};=LHpt
z=xhHoruW~5t&zTon&pNeN$O-+6_1d5c6K&TtP%i~=!iR*<??t1e+Z2*@MjdaBqVO4
zp`jtj{rmUV?1{zqNE#a(t%0;@0`~KfKM|&NshqQ$8zV1oUnRYgva<BcmpAX|mU}gL
zW4{7WQBF~@DUh6VYdI~{aK1fk$dS<R{zVe|<j9zLab=~`CJ`|)F$w~G<VV21|F_7v
z^D%s7IFCN3C_9M+pYht0^GUo1WvT>tZkb;ef;t5q;1sTxSxp4WN3fvi->sdU55Nf`
z`mlhobcI$&-XA_pudW7WCcnG!Btz*3g+D2y%q>Pn3^g^iTOXU7rF{JS48ip8xgYVg
zhR_Cee&J372or~pur#UhO;EldT75@H_P}NuiZTXn_+drp{~3-w9z%^-qyIuHb5jyW
zEi*@y#cuAC5TAfRB#>NS0SSwb(l7q27J$zfFDNh&$fE0HWX*u@_74w#0SCGmOvOL)
z{e>tCGjkZzQg^&8BIdBFk?ja{&oXdPDv2U}9UUK^WU3e&7|?f{@S~0f81TW`a43NH
zx)rv@*}Q?Xy!hb>VlI5iE{jz0mf`cTL@SGnt%THqpP9hSdv&ZTTK@KwhTc`41F~>=
zaZv^y0imrB9KcZVT>BpYMx$FQ?3OszpJ<-wjK%=7qirAOU~Hr$gQNCpke!bizJSpS
zGETbOAJ$W}Yz~iz$j@Zt{=eZ&zmfkZoH<x~kb#0TgC05nO}`7EyBNTxQAHXhTo(H)
zt|vO-@F`y)HcEXOENRz}m65?Z+??vQny9n^e%UecOO^*DQ65aM_!>EQc}Y=>z)jCH
z8(1)z&3lmKJm|S|O$+QaAT)GX)DN<pF!BFIoaJNb_X1$jpf^d}wJl2sC*?#ag;a8Y
z888|j^;NyN49g)=S&yROt30-abBBFc>MCR8u$yiacfQe&w>NL~3d?PBNd^RV!~~mt
zephwP8_oWMpFApI)qulq_L+?L`0!HY*>y$XbxtX9W@#CLd;COwADg`qq>-}%X|fMt
z^2zcdqw1U9x+;k{qay@7YUeMleMt60P%nOVCc(?dC7%Aqu9Q&z(MqK4s$}FNc<y79
zb$x!q>%{fhN5azO0&he5L|U(+;4gSfKsFd-T75?t(~RlnANFvPMl8roAJT7;Aphc)
zXwZCAJ{jYCsN>ReFu-W8hk7V*U+2+9BU-4o;31o?6(MH!DU^rj@F=Oo;N*{^W3bgD
zV!CZ%J|t0)<lP|nBST70lf@%2t9UYCz(g;_{H;9z%iv_mf>{4nWVeG>KNn7Ju99TH
zFDRY}KQLTe(d<Y(C#NCXlB1P|Awpu;$3v3#U>=?Mg7gOYj-pu46Cb^16~}?QxsaRs
zagWQX2&of=;;MyqB>iuNA^$I$k^f)56*-CKW68_Q3r_n!$Y~@hm59f^-0yJ~PpYk^
z)q(TpE|G15_YD-XiU0MLnT^O@tN<xDsj(w0Thkb@y1l#W9TXHa$t#6neX{r34#>ud
zCA+o!pMO1Wrp_E~x6yTayaWhu=HEX;U{)a0#JUAsl{)1v5W&hXx?}`M$jPawBK}vo
z<$s@c+B!aCv|H?=%6s|)y`b)*5{5Sb^yG)Vy**n!9nds9FELYV`>0U7UtwfyJOeCC
zYi>a;9<bZAe@4ILMQFRYx*DDxZ7)L+8j_upAvi2Q8u8jlU0uBpa+8`@x<7A<yWRrX
z(XUNUh$=SAzv<@}7NU-2|Affrwhk?YgDyg7(iy|o*ViE-$4X$qVF$vlwY|MhS{h?d
zl6a6olb->w5spgFM9u9IBOwHEiHcG)^;Ns<@)f**#CURY@^Ox<kVku0mrrIUD`+r0
zlR-B$FrZNa1m5@x7X`kpt?jRgG`50nl%KDpBtvo9nkVSmk?BPe8Us!UPkc9ozM;Ak
zPz)Ie#&_0~bqp=34<6suP_|5@5wfB&=}ofqsJ2~D=t>l&1R;rUW@hI8G2q(&5y9mc
zz#Rcc%I?ISnw5nEbY^-6w!U5EuV`uIFCLl#Nu}CPW4leHq@?QG+OS`~d>O-IfDRco
z8UiHd@??$Z+4=d*+?;o2k}Dp<V>2ryB_k7Uo(BBw5yVUcfnut`^5=x#!N0LI<Id=(
zh5GLuhz<HurI#TOgM0hFKEiHpX+bM@jcM-hzxKBFnC1CTt51+*7=lWny{D&a)C4$V
z>+M<TU}_<v&DzsDh(7RF*99$N?oO44az1$$9eAS8xdfyVDr$n<B?Ug*Y_y0Om{sBG
ztwwx^u#&rr-P_IAR5e!Y*gJ-btg?&}tIenD-<R7i;Gv>DQ1VSclCBNqLrOqf2$~_3
zWCOVChmi1q6}=xVHf=KeF+KLSPWq?S#Fppfq380*560@68s67`m>?uzJn-#DMg8a+
zGf9B`TtRTf2T7zR>HnWqD&!Iez+6HwJ4R{L2I?S$YR0u_(Q&MaA`)j?O-hQ2b0CG1
zMQHd<2)JKXw}Y@E0f~u@Hrch4S5RO;OpJ^)Ds^*a<KNb@2YmYU!mQ1K55zfTzg*&W
zM2=^JxOYGi2a%GX?rcXf<i_1VsMA>F*OnxJJH7EqCP~=N4_L|ZAFr_G`GkdI;YiG&
zBxW!CicPu=4Gg~Smx3OMmz_PkamC^`zD{TDyvQ?6fNq07e#9*vc4b}vmLbgouH$69
zxL2YRV6%S1A6r1=0)YyUk`V}GbpD65`h+>~|5I9h>$r{bWPP-Fi0i-UO`s&8tmK2d
z1*HtiRF2nLoq|<(_L>4EGAS<ao;CJ3-Z4g>{{EsWZx=GtSrAiM?%J^*`+m2m(2(}H
z&8KXWXz%ElQB@@h`58)W1R}1jt(hjKOEx~pnwjN6dJ|b&Tbuqj=Dw!{*roXkKM;rv
z4M%f5YZTomZ(6i3gCfgVFJ4-P=*wM6DC1<m+<B1~ih+*)IXW84yTJ?cj4SX290G!7
z$W5oGr;+K^AJf=3oe`)E-;Y|fLXo)j`w=l3a`oy}l*|k8$5i-i)WHVzAaOcbrQ^Rq
z(2)>Bk}ipopFu^CDC!jb>&ebdZP+?C4vwNx6Xo;cUe8w0-zlEQ-+iN%{>)<kD~E7U
zsGX?DOWN7>q5Sy$yXleph0@Z=it-0f@9aN(@`6>*^W0&6agjkth!P4;RQ28m^{4vg
z%4jhwG7XCjqvqO=D=6TG6N(^alhwjdBN=<-1Mx4Xs`^tnG2htW&FC--)zMp@|Fb?s
zx2DSO2TC&oDxLDni_@9KMZd3){L#x#eD@9xWDE^c_wm2P#RXPZi|LkIqXACc`b|Cp
z*3plgQ){|Umae5ej4}UTG>zE8W?PqK>1)*m;~yxk!(C<0{>9R#hFs~Xz3EIf(LpsG
zBF`#-+BcZ0^+-?RtOx-x9tCrVWO+{4qmA45D+^{8mvX&3Sz(RutSxI#Qerd`jQ?RV
z%7@hdc-2<uu%@LHCx8oewD*@Ul;9)L5U33vNlJd$SEL{#yMmGeo$vL>@EHg02i-Gl
z#xXK7y2Ziq%N0w}%#2OYYCHgxd9OgXR1RuMlr#PP`|(=qFoljKx>rO*gaZ!+%=u*6
zo0!9$KzHI6;4T?mb-z@aN(TLZ*=otc9yvrSJ{r^*?pVDp?kZ4wdEo{R!vL+$sKn_y
z|C&hZYm{aN4LLeqO8((->geO+Gm_9VRFq{g8pM*y@`?|FA|psRR_5j&c{iX$aD`b}
z0W1+80pzy;!J>zUhp@|zQBMr7H)tPUf%Hw@cCy;#N<EYYQRYG*(AwD8SO;}rVnV__
zs30gPDE?Ro+Wk&>2<OG5?%nzF(o!2J3B%9kj-0l6_5U~Z!qZURDcjE5Lyq4))|ZxK
zk%bFU=dF}(t};}(D77>(HNA$YCQDc*4nb7{Mqhedq3d=wHe{O}cyf=WALb7MOS4?}
z7xm#&(4NuK(yqW`0IKRq5RQP^*x1<EJ2@?Zns)@`NR<^8+n|p5HfmA!Uo4YO#9j{T
zB0g}HBKD2;Y!D@Pw95rJf!n1!ps#w;FAzSzv(O0yh_01ei|O3i!PwjMq+x+i_s{pP
z0k&msnVG|39>K)V#|MR0&frUBO_YctHy5m|Y*BkEP)YOT&YIDR3yqlbXAlh!EzQo(
zj#RtYg&P?fGC(n-o4(Ti>kG<1ps35NHFmy1P;WMzpB@$idOu$4QT1Ypc|BKxGIsT|
z!wxZXkdg<p=@;C1pr^J$fHn(hT3Zb7tGy6LpS%cW5I&^<VgY3bsc@ANQtqno+TFbx
zfWg9WxEU&!Bk=ZnA!>|8tpBqzTBg<LMgZh5LPxo^(i6W0@((r%)k6jb1}bAdnN0((
zM`GHO&?hRH_K=NDU^O>xZQku1gg`?r7OP6vo^spw6>e6tN)ajv?T}&;`1xIa$JLYt
zxy0Tzt8YT@Wgif%t_ODDdq+LnRQd$?WZyhjaQfU^%zJ3Q@#HpA7|~1f(@ot59D17;
zsa8r;Ee#4YyvQ}QdsG2oxiZ;iHFkGppf-yjyV=cqs|+Kh(v@*ij4hAvX`$hu*?#fl
zvD81e^(U_6!n359XTJ5_NZ^Be{a(Gpepw_nyLYuvw~|{K5qLEq3GY0A?VVoMVQ#DX
z4;?uh-#7kqJ0**pv~N9^l%ISH2f;=s%5ff(HN*1t(qtUO^>`xq5_S9CiT1It)*3&$
z4(lcBQ@lD6t)>r`->LF@R>IT<x`Me!bo;kh&0`3Cb>zv|F_+Zes`IEdiN2A|W_1W0
zWdaOV`T4i7wY&OPFGk`kqGR!h0!J`r>qdn~DutDvt%ByEGQjL$kSive!1=n@tL&QS
zB3q@9<)Vw54%v731@GGOW|;lSGLS%Y>dY37PLp~_*euK^X*gHe;<7SOHDmu)KHn`G
zFHS_38nab$nwg#FfEB8-*SU{0uX?2;7Ri;a`{;pBOia)8Ud&$|{AuEI@*J(WUZL!b
z50<Y~o0fBKNb23!sF^O!erUPH$60w*l|AMweSZTQ<0PS0tV5!z#zdT&IVRal49ktg
z8wB+cw(7DIP{74i|Mb?p<3;&3>Na1st7~yAUXwPF_D7NCYl9^$S9+fq#B*%&WPQNJ
zbJGTf*&$$v3F<iX2aZHq7)O}(blxW=H-8T!B}0r~vT9eV`lLz4amljZ5PM%G3Urpt
zG*b?TiXE{adO~r7hq9hd=!-@QmJg?4Ji4PVHPu%=Nj35rnaQtRBgDSwY<sNMTI^(W
z6#QsUi(Ml{zMHmYpo+IT9qLp^v;a)~uju4kU6o<x6RTm)Pf0zo3;7HwDOcmwHJBRP
zZ4kqUG@QSAjFbaT9<m3g_|c$W(YIB1R@+QaMgi&yw|FSMKKL!<%I0{YBaySKYUcD_
ztl5RP7~*m%Th%x8Uxq3P@rBn@Ak?(a=O(irM-d`G!53iZe?!MZJKIkrVXjlX<?~y+
z`HsrV^3MwwXcRZQPZ?5On8({gP1p5{K|J#PVNSpc-RoB0Ox|$wGsHRF{}FM=Ax7y;
z<@*t3Y8->3EkZbgHXWQ{&{g?3D#IxwWBFsEeMRcl9Ws{31}FbP>#?Xs!(h#CjkkYC
z9A{RY%up;-Nl#c@q%~s=nmfU?pmNiZ!`D?#5EASF#z1nn(Bzwl<q!P;^de+ED8NLo
zhW{>kf8D$?a)7a%MZ+V9r*zIDEfa9V)u}|m#_=JER~l1o;7H43xX!UZl?sQymi}`-
zjm^^P%qlC$CB~rN!iIK|NUI`ImxrPrTjR*6GAs;)2zeQsv(EmxnK5+I^nUrZvM+!U
z%Sr$`MU7gH+@QHr!&#m*=-vH=X9MBZjHVbzlwPHYx?3ZS`o^bz8L5+CX;QcGLKp2x
zIFY=~`46#0ywwudg!;Z#U|%Tvwxv4@DFMZiWlSm)!nk!G(G!W`aap+TAib$X*f;RB
zQiNhw9DR<A*K(h2|NUgF)IJztBT<Gl|L+Iu$X0Gd<MoO^)vh;>!*3@l9bLiu`M}^T
zj-*r@R30WUAp=%^$3MM>^>;{!D6oUwoqSGE&wcMuffho9_m%U}fIKW`TtsoFPhmvV
z*VW*b4^=6jXHsT>aB|L^j9sk?NTku{ou)>pRPZpq)eE@8Pz%#QyA{dcdyCCImkgvn
zwk2?3?uyJLF?KU@^tZuBU$}YX9(az%o=IXgm&63#5GgV*)kY_q47e~J)`(L-0xNIT
z9y#pnxcbQ-wUXKw<<X1ANI^bTc2d7+_#}%}s<%Ju<l}n1d9sC80AWZRxEkAEU(rGz
znf{H(uXXSwLxI)Y=VnMoRk0s&3XdfFnTtcf$zz!I0W6RtcK`h)oOA<xFAT2c^EYkT
zG&TH#>DkFY^1abSQ-1q4dw_$x2b+EhyW^w6;Pj(TdgckTlt8{=$$>G!?8(xg|8O~{
zZ`BlaP1t)+dix^t$UuL_4UGqO*KBU>@K5GBvA6{VFFrt~9?-w&x6UMsX;p<`iad7<
zRp1dey!9SG4&%Vzv*)3!Y0(!TYEww7q8e-0xyEnTvHcZ5aa*Qqn`&Q_@ECF2F$j}o
zWp-b}7|URFB91=eaf-h4#uoI?c8Be$q<_UHIdBb3rlDAP5}own^mZxZps1^9<xA9S
z{nt9tx)2`IZn=F}U#SVuP)LbivzjkPC@`EYm2r~%)dxhMD4#J$3z3n{VqlId8}9s7
zGp|Bj8-co3z=JZA!#C>I#nSH^VTAvl$5F|Y6(gd^QKOg58=0&EAYb?B;UKwkFvK;<
zyMOa~yL)$>jy$Jmzej^SOy=OXS1%I7h2`^WA~Rl)3J!eIbK2Be9+D=UJ^Q=*Q;eb`
z4>y&fJ_amK+#tc8uJ*=tQg}~_GWj;GPwLwWGb+d(6_pVo56W|RVAzU`grp&**Tm@P
z^)lOFg<;W%-^t(@Rx1YSSG5t0hY8wvr<t3xAaHuIc38z$r|9b>Li->lA(ab-JdzML
z|A)e{S%!^38;`hvNKI$2r-Uauq>g+>nS>NCrpEP~t0Gv*J7}_!!r-&HMjPigtBf9Y
zD@m7Mp(bBDx~_T0uaUtWhoL=%=e1_QiADie>IG^|G03duEs)EM#+_0|p3LtB>9H5W
zW1NJ^=w_K@8!u>6iG~->q?=F+g=G$`GMj!Wx&%*&q|}QSiq~#-k3De5x<yIhgNnR^
zE$-4yOc3O#RK>P^OdmdMkgKs9VEI>uTVuT&P{FZ3;7ESB8M-d<NL!Wl_B>suL9J~A
z@5X(_(!6hCRlUU<2~SJS2XSj22?&O`Vw0qPCnF=XSI@CIKS^!+X!$^0>~s7Ltn|ip
ziKa%Hd+R!QM$B$%`~{jhYUhb3+K9T5c`PcALA9h=+u8Mt%G}<~o;xnhnL8dGhQ1*@
z5YOy|^s#j~{GWQ#{wu!tB*r)E0chP1HYS3A(bC&wtGwrVAqFWU$@S|2P;>w2T61x6
zIf6z2>x1=Y0BEEE5>gJVpAAZ}JhcniU|LpI`$;(z<XeF6B`51;mjQqCaeRE-)@~e7
z0<)n!D#5pt!O)`e)#LOa$|N*2)E|H_*Tan$gBy6FC`6m%b7JBr3~Zuh+PTWxy5%I$
znUZs0U*)tZqohPod$!ZbSCF2OVF>8_J^N*nv$HcE{d$CqoP6f~<uS3u`CjO$5pYVB
zzykAJ|88ae?s$Rn>~!j~we=JA!wZ|LQb=y+pmJp6;^NvZcnZ%1p?Xf_IkfEnwUXtS
zEd4J6Mv;?}l7cXG)&%f#a}$Fg{gFe#yE;IEU@E_qWUm5exV5*(<s_oq4`hxPDAP5w
zyP+(M>0UH9=8siE4b6|3E(9p36ljFIbLY;`FtDQ7Z{NNZ1CYtuzPgf%O2CZ7s%Bp+
z?|CU6sxbo?O*G{EWWNbi^!fczWm7;sAOo-V73kex+l59xRzCtN_56fk4i1hF#l^c0
zrS#?~KEa~!DHn=A111&+`pRC`xElN|d2MZD(*Sm`1x*B~`Wed`?fv`rG52g3P`wN=
z;2C%W%es_J>~y_22FR3?y%ld@j`DPV5&?n$Xhb6@!BAv5Tl&^YX7cP>L0v1VH46Z=
z_I5e@e}Bp0GUtUTZR;tILjzzi+IxHbK`x%;Jd0aiS*bO$h{9Q+eG0`3Lm`TXMMM(-
z;1CU~N<uv_HfSkbul}>0t$YRxh1)@`gz9eFsNPjU>Vcd=^{t?Y=;!)@`)k9*C=1Zl
zO(<>G?HnGaOcZfw)YkLR%xTvRg<>C2RKoVo&L-$W3ZS+sM+0OuKdP){AJv0N2uAx@
zVWxEW<s($XW8O1w;C_Q?MJeb!&v;Sn81UK*oSgW;mGYruV4zl8N?Ljb3N;^ZZw%1s
ze}p~&RQC*ExX!!XLcB)pBv8)Yf<;Af)PPWb0)u-6eKpV~bAbj_6G}plYPbM-12p1I
z4nU{a59e(|5Xet=3r#gc0sk8sw(!Pu3-!^GfWuNs6d?!p9YO4&8E7C0n5*}>{spLZ
z5LsE-z12Z{kUJJq#6l~@JrR*qnC`+Iemy<C1X0t|)-Gt}xaYj3pS^@C!U0BzbnO8Y
z7EV{`Xf*Wl<!I(wZ`K?#u(9EQuD+?#VGV@X*Z5c%rI<l(feG09(ed$DXi&IkGkZmj
z0Td5#t2B_a0GG@xF9$?Ml3lrSr5=Dyz|4^E8{}|Mu%XET)ncPB7|&}l!t>b&@Tn7U
zb!oDpADE!`vJe_o0Jbq~4j^@2&CXOXjs-wiS69~>=)%U{USc?#f@55&P{H!JA8p~$
z=|MvY9CJwkQV~=I2?aeFbjqM1$H&LkPEG||TPYnz9Cs(xlK>*tX?q>G0GQD2+ki&C
z2~u%E?GV_r0dTM22%AuCa9m!g8z{0xu*9qnJ^%T+4SzeTaRdw+454bXwh2yGN~9z#
zNItbPD=X{XzcES_3Vr+M_y?E-^juy=K7-<;u~Cxic}doQ``@2$L!rS!e{~>xNIb^z
z-(LfOJJNeTa|o-<LBmn;s6}yi9Gk=_%E~aT9fAXx;4lUNDVqYcD<IUMo%|3H@g#P|
z6WD(|;wW;Ie#70vLs4A2pEox7-AQ)Ws5wBJ*^Z)(5~zglk)tCtIO5aL&>%?N`2jVc
z$YIdG0QlV;ASypE2G4-Gf0~I8s2y~b<h${pI(iUbn#-%I<_5L(N;h!97Erziv>7N`
z9koAj7@=*57)avse`RBN|Dwm;*d}!f2ThdMr|Rgyu3BiF#tl3+Kx&KX<lzC_2-?mt
zQM(PjyVk=moTB0cLGJ?yVq^2iYn&ES7J_rr4c^zGOZwB!i_Vr7OxW7=Bt<2qk~?-^
zxrKFEd<f$*4B%)WUeGW>BkoED?zav4-+t#k<6pD6L@l<s_(bJQ9cXN3=I4Dt2g1n1
z^Sg4pZhuI}X5kk(Ko=xTHUN`y>DAJJ-U51Q|D*p5SeAySCXAmGjymc7i5zdPA+T1D
zcLWb`adC%+zk8f@a@S3R76aO_a8Q`wxe(yV0ID!T3-8UFH?K>$-;+35W`w?EonBo<
zdHDvQ@PFs)2*Gjd{Cfe8?sIJH$KYTBfWEL4qq*LLgajm!iu;VLteIUiMI|LA>ZYy6
z#>P=D=VfD7O}_Y)*7NP8pPRwM1vfW0bG&P8oHSCE!J$UA-U4Vf1B?0q6fPU(b3~}d
zG6i<HYPw=6$-B6i->Pzjg@B6h3Z2IuDT?q&mBt^pX`>AY32A*5DsEy~pqZ=XJRc?t
zO-@)AV`YS+qoXLi7Jy&_p6mJoH+Z2H348|{N)zF6IHA2kpB-*dii^NeZh;dI=adve
zIN;KAVEm6RFV4|Y2IhcA!2+-2<?k<>?P9+%P6ZTC1FC_m9)noFD~1;ptO4K+EqycG
z2s;a^nd?0I2#acxu6gJiAWHy9;zv?|4?rQoGNCtLENaZ5z+_Y>W$Xo=LBc8g*#IBZ
z-vtoAJlh?5^akwC_@!Qn87a69i9Fqkt4T>o5N9|_DOvUgv)&D<;OH<gGP<#)zsu?f
zjW#whX>4ft+SPgpy9fun_+@c8Yzg?(N9?}P&kDv=(lsrPkWo-DFf(Jqvw*}Yl2E-0
zsJ>5!5$bT~I{Z_XwnQ&Xy6W*y|8)P403p05rKUy-y5q--k&Bg)5fR?dm|5~>`1{}U
zvvb)_iUN=reD(Nq_XS{7Qsm%1QpcA72Y<Hc0c-mZ;s+2n95nH45|7rOD`ekDcGXdf
zM}E~<7Yl*{2A<P%$5Q(XtZ3|gbe{{569hbW1lzS3FDHdIC>$J|-=ZNTmEn+Jm_LI7
z@_Jsl*Sx|}<8J?7F~h)aDysm~n4kQM^M+tVhta7aliDj3M)HskzdkxIkE<pvz*Uaj
zL2{Gezx!hdXO}V!Y}YZ<^vQxhsPW*nqamYg7@{96?$N?uZb0OvRiwU4>VNpZ0BS|D
Ay8r+H

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map
new file mode 100644
index 0000000..98066fc
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::AODELd" name="bayesnet::AODELd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="102,226,236,252"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="116,187,157,224,154,228,112,191"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="184,153,317,178"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="227,191,184,228,181,224,223,187"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5
new file mode 100644
index 0000000..2b66607
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5
@@ -0,0 +1 @@
+cb0c139611e4782226f297a1cfe9fbfd
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..fa6fe72a415fb8b0fdf0462ce25992cef040c4b9
GIT binary patch
literal 13060
zcmd6OWmHvdxa|UojnoDe5s(gp?ru~%MClSlK)MBymXHzzX%M6&1nCk9K}1TrQ#vID
zg!}NFy5o#<#`$x{z4!A|_t-AhUhn%pF`qf-4pCFNOL&puB7z`<^7mvl5ClUSeq*3;
z&fhU9FoeHw9x2|HMb6HDrPt@gAP6lYFDs?#p1eNsOkZ>FRAOuB$xDnonAliY0tAG0
zjIoOGRS!cSJ+ggo^2^WgxO}|8&h_JCm-<uN?ETK70S^6``2{(re6(&$n4UgKWm2`D
zU(}a$>t_CrXJ@Ch%xH7%#2IAgg*dgSb64_?&}R1&B91P89>g?^tCjp;{`ip^GRE@$
z{rg?I40XrL&Dx46x)<@BCelUYF2zO7Gy8b5yb7po4xvz!0;b?4E(FhUsIeyEj+FM3
zlf&(GZ5&fJr`;v>YDHs%DCrGMa#JN+s(>)A+BT_g<fWef`Q?-S{e-yhKYqwsTeA)p
z>OBef5XP2|-kN>I!5_b{yd1)1+FI6Ob63D_vZZ$O^Q*8h0?mgHXE$m$TSKqh?rHG$
zMkFmQZ%(?;5!USu>Z#=qJT&rFS0@=P(DARFdO@k8qEh9$PElbq_A)98y}Lek)zZ?^
zeJ1c~!Dqu(>tAl0Bnyj+4D9S(6y@J;2?~<mym^x?Q7f9U?qJfh>e&wSM%5fq?toRY
zm?zmKW~DE8X}rw(gu7Ejf{r(8iQ6Ks%b1xlns+6Kq<NoSYiw*3^xS7fB=ZMm>klSn
zl$FDkt#b47r0(3oVU)*2T3T9Y#l)_=O}JbQ4Gp!QX~Iq_cw6G?H2>{&?wdE4t@8T&
zHGgk!)6r-A{Hby4=1oh-&lwr?(TsUt*9UL1vomM*4qMdpTD+$eu#Gq9GUilsaBz4v
zwl<J|m5GU|JeRrNP!(C)cSsa+Vh$(g%IG~=IGWU_N&MinHe7P~+O?7S-5_d@;NW0K
zCnr3~%+t!Ohy^P~`ilev?<Z>A^pe}gSMSMcK6oJa;K2j3w;yAoqowagP=!Pv9|X8K
z*x*U4s;cVNxpN7Lh{T}%%zwm7{rdGwR`$)CH?qFIzVpk=@`i?nWzYXO($go3dGdd4
zX^9{0UES-?*Wwthb>ko*d2D8;W^d1#H(<5Wn~7V$Kl(J=Xtv>W?_>W*BMEpW1_=p?
zqtoNfkl>~7vA5?}Ruq!>ZRp+H+%#@n=JnXMxW&d+KD;1yFfJpFa&&aexGv&~Ch4tl
zSzT(xrQsdWIxDHBP3E_u5ZfO%&2C#bvdtroTRB<INkbtiqR&3{u13Yg$b^K1$o31O
z#&m<K7e9Ual<Rr0p=oHSV%iqLl%*kGR8+LvC9<ieuTLd*ven$V&&0tInVg(#alF4i
zKQkj0L`-AbpObBm{^Z&lM~fxN#l@wmsVSS6mp8w;sha<=ke)u{olMZrjfq-i%7*;>
z+vjVRmd1SM?jEI*!$6-gKW_#r&HV7;)-4VW79%4gkH33Ec^MggpGr$DzxZHWrleHV
zD$=KeRYL&KrKsF}I#iUUo_U8v-3E=Bo|}8)r&alz)KnF5aq-=DmNaeanA~k@6AcYg
zo8jVj?QJen<kzn&-_|O6uVwfwFk3b4{6gpbHJv{0f8CIAIE$N?FZRVJIC-KgvLfQb
zoF-^$zkHDtwx32wNNgr*V(&yyjaVD4SP|gkXTE>WILTo4>C@<gx!BuUO?`crOiWDN
z*Gk%=-n_wrJni;Ay`-+L-ebXA<-AM^TXi1RN=f{LIQ|$AJs8N^MD5j5^G?6gQXV2|
zQB;ab(65fS{=w6b+Rt_tOr}12(bB^n8h6C8-MDqD36fgLreCMh_PV~lKIij8`!EW=
zi&xq8i-*ncH#IkJ|5W5i@FGBDvFQEKm=LzOBqpnag@|#<X55i+URPowg`kLtOz<5V
z3bTiLs}}8o0y#{kr-OQSbfThEU0q#;R!Lk>KPjM({`@h4{myQqqoad|SG#dp(0z;c
z<nLb+3X0HhN&)FSO-v*?C56j#-}-zBu$<$A&9;+2I~a(Lj!utNIXSl(%FoXaefe@g
zRh1x$j?;cxa&5f&5*{Aj(nPI*w6t_oeEe`awVj<^-`Ri_pR;hvSN<`p_GqTV<EgWV
z%1IA=5w{IlE2~@Lhtn74fBn)~tIZPE{=mb@iH?npJ=|`ip&W2r{>fCJQ;H+oZ|w2!
z%MmyG7WJ^aJ)Z4kW9$i%UR;d!sHeUadl9ie+O^zW9U^8?O>Oz`AU`TKH3EtrA}J~9
zV_E%YXOZF7t&8Vpp<Bp5;W4|uPDo5lJU>4l|HASjK0chHFH{!e-KE}m5jS>T3c^RG
zrX|)R+)AmUBmG6v+j^geu>G_63$xgLN<V#4Q&Tgp_-E5qV1-pRHS}CuB&Mxlmc<*e
zeHk@1HR{EB9)zp|>KYn9*90rgM6JaZ!gTx}?4t;AF7VrqqYy!-1%mzcv7l<FMS2kt
z%8iW;6afJivNqK~16!PJPa$AS1xIjx=5)fsqnC|in3bg+9JprZ=A>l5wYN*j%3`^0
zPKHBIkiBzf7P`mQ@88n0vH{EdM2f8CcnIvt<HwJ)|MdO*xdn9~5dw!I9Ov1yXWu$H
zWF9@DU-*&WZ&>d^$IANS(G=TWqecolJG(Z-p7_a@%-UEbG3={w3XzEG+81abiFIxt
z3th@wlJ$5N!d$d%s<nSY`w0yWrlp~wff{ugGEX=qV%I|qHXx#|uI}5^RN6vk(p|;3
z>`ajA-#a^*=rgX|euzeD+_xY3yUxwcwSWB@c(lK+cq=xPj8$8bkB`rcll%rNYZ%q_
z>z0RGGndh5$s_?gTYJ)mnwru6uDWMCOTXS4RSYwe^#1<UAz%2gugIV_IN0LX_gG%{
zE#vzldo)7^ta)dBrB757xgTFN`22i?H?sQklP6D-)@7Vr6ryGGwLUVJ>ncY?M8Mh0
zPEJl{=da5Wa>SLDpBDqCtBS09U&q<RJ7-=o6&RH9qgFdQJF_6t@AQ2%tRFS@@9yZ}
znYdVL*~gp+pde;_z~E2)i@zTJ%h8Oz5M;~!dG`xH3-szI$(mgxddfX?umG8<k}>MJ
z*_A9LlaP?WM&V!4zwOyt&F5uFNF;5JA6|5sO30D%98~BvJSceo9&52Xt?j<5SfJbF
zGu*yx<<jLN?IC*r73f}5V(~*-Z%v6(iV<;VIu;h(ZizF|RIhy<BB|E+f&#~ZDz@{~
zOHE}TTDfNWBS7NiD=zZ`LDV%<*GT^;c=;ohLDX$S-*d2$-1L*><$#NUv%)0n0~WlF
z{e8dQP&}2Ouc`g?L19C;=3=0<gTV#`xoIIfMwWw3Sc!vQg2hyc{dq)BE6QCOC3@5C
zdKlNv=;<}h0-aYe7PLMcNIECIeTSxl{6aLjsq(a#G$p;S1>%8tWL{WkHy}1Gu%rs$
zXJiz`@Vn@vfKH9BrEb;k6GYiCGAF#0qD`M{55mBYvB(W$;%fadO<P71!WoIASYk@$
z(29$i7ck7ymiY=yF$SXJIgq=3vKV(!qI(NTEv8-CxXlf3_@gL8OK1;yx8G>(|0VBh
zac+$dgL_M2E|3g}u%3n+qC_V*u(?`UXOB^Z*2{Pr*Z6Mu`6MOieE<G^x|~IU_sW|v
zu4`M=?_ztE11^}$pc$t}GewxoP36N%%<a*-35;|U7neH4KGKpi;q|WTTr&N^EzVn!
z!4lmrCwGI?r!?yiDt8cn_k>Y@OCW`35Cd*?MMxojP#=ZqgCt*P+7fukH7NCM|Ch1>
z2}Ta0RA=-1gVEXFF`K?WJbUD(`z8+DOsp!*r$mOW!kpr~=3ygZMAEJC6LYj?|Np%-
z>1>Ul7CS;n>Mc6?MQWW|#s4C-+6hSvZfw^>(6iocku+zS<1U;y2+^RmQuO=J(!nEu
zkOr+Q?o&o48l5e=G!z6n(?UUtW?aYkBK1ueD<8)sWqR6JkGG>HIP-4gcLPjQ!Y!fy
zX$N%tIeB<4-F{dQRf;t-Uia+M$NGJWY^4N0hq>07geR#|uC5i!e*jX}Z8hQNe)#aI
z{peL_D7@xK&(7W#Zv%v3GVtNSaOo4`pFe*VJIviVhouqs25EnEci+|5PfljimIL6X
zp`oEGdIrVXe#+}$X1K&OI4rE?M*`3GPPYUDK<6jjso01`x$Zf1&QAYS0lnDF%uF(x
z5s_3<BKX<Y=P+d8_AWOUb>7a~J+7_(j-V1EjRly=7Mqx;06;}nR#R730l=(smlnXP
zXvXrY3E{6_znbw<P$~;hggei*5|(ycBfz=E&Ti|FRPV8u0b>f;5TEOsc4%0bb$=H;
z)$+R_YJg$m<NBCAxkOH;CV8rzdvAkpaB@aLv#@cXcAAs_uVAjH=i?vDqoe_;si|d9
zo*i9Xndz`P<GK95cXWgV-?(`*1oOg$_P)LtsO%PhegpL71#A!+62euUIkcLm_0h1*
zZPSpR{`<FY>2Qb|`2+o#cZogL%ZHR^wuc%{V~_S$@7mhh&Mz+Bo$@{tBOx)Ub_~=v
zFtCIIH@~r=axu{FP9(K*R#q0-Slwc(=RK4ZOfO}oZAA3+y3mxw4yXOIk5(j3{{zyx
zLj_lZMn=L%B>m4y<5D}mf6oB;dH>lnq44V>ac>lus%vU~ifq=&z_hTt)l8f;$~kmU
zS0{Q7q1VSMV}gQkuZusglKUuvOSk$HHUPQ7%={7tlpB0}u>goHAvR#G&P!^e^`4c>
zZ@UHtV!64wZ_v^Cii(Qf%jqK_QFnCYuCA_DfAHW+?Ay07A3t)`pB}Ahs;f(ljEwLa
ze?daS!?OUCM%C7e#J+h0P&l*v>Cn$y^~~U0eiVk9rsieKa$N;gRTk)^NAoeNtQGS8
z?vb3Z=ls^gJ@a$*o(Iv=?>Gl+yVj*FY*`am?>qf1JkGpCPJR!Uh>DgzqfoE%=eO4k
zA;GNs^+m14#heNX3bSI;tv(gFCJ!IRS&rWRSSQVJCyX|;_a1~Ft$cKDdb$rpbS^~g
zWf~e)n0e+G7R)cEF)7CNGzH>^1X~Oh8Jtfw5P$CntmN|te!^68Q&cpW-RQFtG|w{V
zc}LKT??p3yC@Qi=6TtO61Kg&q1Ri?>T5Pa_8kxDnL-&=zLdxYmk5@Yb#L|lA(a5%J
z=Oks3x9P%1E#g`r=k>7}a-U+vE^T{fr`ZSNf>NZ6v~+r}MY`Gz`>koI!{cKHUf#<9
z%>p#?un>T^ru%Cn!vNz6a4zg`PDMh`y@0?hlRjX@W%dn?g^f*j;|2;&8!c@-{l#~<
z+KGjfl(eVT%`PAyfR>A^L`v+u>7V5fSS>jVzp|-#XlzV->-O#KxyWz{_g_D=6tzpu
z34?PRo&WuDb$=ev$-FFcB`051v;MuzQ>d=3jjA^!j#a=$1ig-UA+&>HSX3WDsN7Rk
zy?gH-3ZbQ?{Zcj#c$wtNl|Y?RbE(3Ira%uMR{lSln=c3n31u4%HZ@5D^q+1Grz98i
z;9clS!4JRVKRm3>s#ie(x8pC*S3B9Se8(QeT0WvHB_(C=;vxsp-WqnTZ@T*5Q05n1
z3VcPc^KrSNp|iw%>e_0q*%SjWIYGAPAOH@3uj74_jq&PlU0p9B{2+%h5J2*GAu4Vr
z!zbecGOFACsTdp)!H+%sUOonfzc4s9GzlaKnuNp`h71M<h6}G>zpipwC4=OLH%)51
zT1XXbFntuVq;+%>EKkeIc%L6F=O~N2Iyf}KNV+u>MDqw{o1WFZo@HmKO1S3?#8pH0
zcfCh!;elD=<>d{9%Oa+0{5C>&hyU-v$gYA7DhiU`{~1PBO2jdSJp5>=Y*n5JShT&p
zJ*2L_URkR?gd&xpjF$`&+x)mc`jp=-qDNz@b7HoSO8oA(nzBJ06E7$Qnrdo27Dog5
zT9hXlKoca`29A_jUQ&+deAm9eQgmY2@S?uaSw4CR;=_5RKkwmGl0}g+Jva8lr$9jT
zCh$DD!NXH3R~}CZM|&jpx3F7dO7E3_l#68p3ra7usw)1);S4SXuLb(Lu=BTtRnx(*
z|Kw0NNrjw>3Q?-}=`+#ewbFQgo5b;7oUOt_BOfU$<sdAf3;kmE=NgoA{tnfFyp;KW
z!xu@(4D*|XkHcJ;9}-H_wGhkh#`BG>t-XjlA_`!fAtrjJHD8p)Kq7rY>qZz>;z}AL
zyV=UvTMOhDInT#EnzSZeYZc6!6XQ|D$m7RLfTzfR6@_pOk{hv>&<SXT;r3jT>^3^<
zCSUadP!^2pMVygcwP}ayRg*BjaN=+qGZjpsn(7P`W)X0Jg}Tz+$|OzvMv86ZPkAO8
z%1E@dl$fwLay^xN6thV0&lkY0d5NScNicgcIs22$E=!hK1Gf7yD`QHj?Hr{ac!?KD
zw)IrdVr#rDF8zkDoXS**y6&#Ug(keni;@FNcz*u6v>Gn~rjpsCM=?#rG5Y&?qDgng
z>Zx1f<(^wuKgPe*u1IHp!RP0XC5i`_FK7Z^HSHIMahVfslISK#8xvu%{tcnKz?uK|
z)}t`KApf3Gtklb9;y8F}q+4d5aV_MfVZ`Bu7Ry8Z-4-o;yb?w4HJiM5WMB6YJ?3gn
zZ1fCx$asw_+{Y0at)anm);#8~J?i_;#BivW^Y2J78>@QNI4q&f^S`GL|7%k5|HZpa
zx`bKp-|Hi2i^Bbyi){UfkBAzR6VvsdU-2$6V~u>+28!>~gRz49V<IL^0YZB$g4+3y
z1Et^n-rWs&`}S>lqM1Sboy^A0B!LGNhN@}eUenNzRtJhz=mi9>!WbK#t;dGK`118D
zHdOCH>u48sU<rVt%<deTTUclvW8~?z;8j*xbo%c%>&ZZVD_d+rLI~8@0=-I=h=C6C
z&O|=oU95gr3rsz~BnC9wVkpI@-I_OXakJq9lV9}g>aojp*<@TQzK)r(2?z-Mi08U+
zFyWRK_MkkBuToxTAGNcyLvr;hOWTLSe<M&+&*mZ}T0<_esHv;>E(P5?_4H<|XV)zx
z+pIsJwz9Gst^TlY(mggmQu<_OdK$sS#nrEMB_tNxMaQulST)}&Y)%||&*~Yl2P^aq
z?t$)qr+Wf`Ej2YYI>W`z2S{4qq$JAAp)Z9v<Vk_M=slll-||p|-{9b|bL=k2<F}ir
z!A?;b`Y@XM{C7K<joE^gWfAeh5fK7Jjz|6E?oerVHV(Xofj@kqe7B~|*()Ws-X^9m
zN3|{ObeE-X4i3T;VBT=CiHv_zZ+?D01_JyMEj>W4FJoi1?e$#1Wv#5N+z}|%(=Dnl
zu~;3h46xSw*l2tXcb`9hKE1IK0hLTTe*hDSj)@@wq6lcV!^6YruUCz*5J1kjigB!#
zJud+-i65`=AYa;JSR7z)o4dP-0flOpTg6(cKHXaxAm=njpmFs=3xA)TjhQRP2qa?j
z@n!=t2M33{hsPs0l<eB>&hlrl!5Qi4$oVSTXuJs!?S>a()E-N8_q{45Y*n1f<5&H&
zgn4*)X4cli_Ev|QhlZ}gCmrsjorP%`d0hbtW@)lsB-L}Hnyj9EPlsZ)E3~p*H}g)o
z^y9}&w&PX4Mlb$g!#13EG>?OgaF|kNJ2)BwA|r{VWn_8*@SZHIdi(WSw0NKH&=64Y
zqRw_C&iuu_j=n(GcUtTMa(R7Bv6JnIB`a&VSJ3W++tg#AU}AOY0c|2`uya?gTu}#7
z?9cIWA8=SeZ7lV?EAu?Cjb;q_{rmT~|D)*hAEp`0CnF={UjBfFhllW=!^0kywC9gX
zl<70zv4FdZ&NGsimoGDE#wm@wfQfm7n>+e+zp{bvQ2yRMiwZJDFN>m0WGRFtl{Wm2
z3=n#Z2(Qg3@2wj*(m#Ga3PqysWR@J(0JJ1U&W9FPecjoWf&71#J?faGBrpHY&ku8w
zIcbF1$a9?!bddKyekdI+B-vSfe{<6r1}zej1jB=W0kj$LPcT;O{#i`BM51nJNKHu2
z=`-oMDb`0WzVm}e^ZtEP4_gSAH%UoPU4;O=S+1?x#jx%5sY<9TD14_*vT?S-Ybq#U
z?JGNHhwp@uOWnzQ&8}YsGn%@T6b6(pweD20o8scBA3l8e*4f#)E6t(vDS(V!|DLRD
zt?N2HNC2=3=E8@Hx`lBMi}dAZW@eoK{C@1{?ED_WsgI-KL>lhp;=)Jrx1!ge*0oc!
zBkUT_(twsx`7pEkTzHWX1_lPNRsRj$Dti<Ew1X+{h7n!XbLP#(W-xpYU_1(eX=J#J
zC{{u4?DU|4?KAtHK+QsH7L%|QdUTF|d1>h$<m~+HtTY5GulWyhn73#%ru?=bBxPmK
z&*}HUfn854fOSj2o7r6b7QESugCC7l&p+(zFIGTbC6(sr@2(bWi;F=R7jWXKg8~91
zGkYc9sZCEe`fnW^+_kW{an4X?Y2c;rkGHIil$O9~M^1oqPEGDCcH<&uj~`3r4?Ox7
zMTfe0QCdw6Jv%!~3+e59p~PuXg^`gl-EDIcg@-5g=+Ps8kCg_R2Zax1a{6?vOAAvy
zR&H8PeXeip=IIvgvu2As>WLO!?Wz?N>`x`5=Cz1g7NQGSMt>b&)ktG&&0;7XvT>ZK
zaRJ5|{y&GH5!Xdtg2=!h{{%iB@qzK3j+eKr(dqQ`w8~))2T2D_V`-!`XSo{E4kUwb
zvyO4CO+SbAVyv$!La}@|wE9kC;04mY+?Ue}(o3@FGg6Q)q#^u)IXl-UF|vOxbf-mv
z+VCTh58tYsVy-O`SFN_!-QAs*g{7@b{W2LD<P4^O?f93a-b^l_(=2!?T3TBljeL3>
z4_Zs!#1TvK@{p5Y+-O-=wpB?#t|Bmx{kffE>h(^Z3x;ox<|(e~&Dnf<Cg!={0tYi?
ztozsIeO(<D%wgI1bfD2y?R1H-u|t{YN|Ug2SSyqpe8mJa5Ehaw<b(rqO!IiP)9aKJ
zLQqPua0XwL&7A%{ejOY8cohAgK)ns?f6&ItTG{mU^u<t3fSI7><|eJQo$!16_A0!o
zgkchr#g8GGrNMW2FYRCPygAK<a!MO>bMwr!1zU{b{-A{wYeJ`wiced!N<R(ReB#Si
zNeMj<)5DXUZj64ztkd5e9Li(CjPk+Z;n;|NjWb>l(RFEe_p0;2lXEhinkn0-GC4c_
zdy}5t4|>GCcWP?R&b-Uc!arB{cx}f8p~TU9dwVAe*io|?)Vz7_<#kg);B9d5!vbw7
zWNG&6E5gz6$Vir}SFf&&RdVEM-qI~L#u(`Dk7_gqA%OEd5oel%?n_D{Hj{M;!7oH;
z?z^e@1zSwkJ==w6)3c5VJ|{2UKg_p;c{SUK+8>vgzuf6~&c_GA?3wT0o@-+pd~~jy
z)zx=?`oxVX333z{TfRo#5+oRz(c7`^Hf@TxaZACAsCAd5@hXSR5eLf^(Qz07+Z!8w
zF)=ZraD<;8wn;=Ae#`+y)6v1<-Oc;iY7H;`-UGTCkbw%0f8)Q#WSXEuhLaI%wO4x5
zsP;L%obC_wJfl1*C{d$jA<RngJ!YORS|de94U@(-jPlN>C(ndkR^H^L#BmQXlc<9l
zu)KHluzcuY=Xnt+e7xaOGI%7ci>`RTS*Oge-v;Z+gB0LpgZ5J6wy7d33!|qqNJeCA
zcl%GYwJDAVmx`r^DPYRqZ6=oJNtg16ej~$gaJ95Bf-0b}actgh1=r;6z)TTL5dXz&
zF=i$Psv$Yoqk!?pWg%;JB~Qaab9tYW(_w&P%3P;>%FM`!W#s+09R688XOzJ#j7x9&
zKlsej6``ik(2I~zx~1}ia^*uJbcshqdggho^|A;;T6pdSX!ud@&}b!fLq6Itvp4?l
zq}re`7KSg8$3flRl1;rIFkN~dGYm%BU3)i#4{GOYi{oWiWG+6(YEsF%N@PvVZcR;5
zV44^ssQ@Fy70EEfa7<V(Ikq;t=%s)0g;(+!XNq4G5IL+93DV(D4Ep+SYuN|I$(ZjO
zVbk3~u`>8oqK7N^^jp3eXlb=b4g1QmL?@MEYGJsi?{jL%OJ*SAOGz(3PCmcSd&cfH
znD;}THcQV<7SYCOGDC2X2u3xgYxaw6_vJqSU~-kG3b?MX#4SeHbiBKI<pl<L@HB#b
zF(4o^EP&Wm7A4L#*3NbmdJ+)867a=|bUG*3E9C(~i$#Duv?09u^f7yB$1LsI^a5kl
z&(13nm(a9W6wm3i5CSwpLPWaNyKny-pYBk}gJpXm>HW8BA-LFEygtjc<aE>8-qaZP
zNM~NohxyW|q6fHRM}Ik>T`?7-mq|jls;d|AdhjK&rJ1oR1SyLDoQctgj+NdSbX1J_
zHUuO;Rw@HteIVvhO?|`IYXlE3(k6-C`XJ<Hn16ApcCzdg-ZX}EUjt_YegEg|p;!fi
z5mEIw75ASN1j2KUb`s`bj1TyY5F*?afpZv>eU)r4p2$C;o57anb(&(4LO4-PF;srn
z`%-VHXK_ACL=-T{lM)Q_XhqxTEWj+0(o%tPP>?#rinEm_qm|OGatRe2wGAwJIL7@z
zpWc|%s(U*TU#On8#V&#VFw<rf1J{HlqtBG-$GRK}jb%70EVpJg^+8+DI*B#n($@Px
zoqIDrT4RN@B5hK`AuY<6o?#VSEnkdSiIGG{P2<vwZ;s)yib>s)3Qix@+Ssp`zJPb)
z1w$KyqJwL&e{qb1Ym+ejn;yFcQ5?Er)jY||Sg8idVPg0i-*g7)6XaeIMdz2Gf@nDv
zQL;_J#9OPW;uwrRdLG99KOT=>A!<@tXvUMiecAoNJz4|@gG!5%%X^2hB*+Ja5Z`_p
zRkizch25>NphV8-b((z>7jkg#OO;K`*SC*#>kw&fD<f6(mPA^>tFFIHy(t7VcU+_!
zCe6HvFq?XPUhi#Q(@$1%^N&KME0M-GZ7OdFl0BD~d86<gFI_25R`##V6vz}`Uq@ZU
zv`Gpxd7f3}1-dy)8BFPcUr6PrXU6Q3C&}1f&|}}h<h+5hd=<S!o$%dkuZ6KsHj6Y*
zw#wSMX=$wc%!`!$R=@>jMNBR#zxBuiRBdif1Fc)i1tJ9Xno+cdLHaq1oAUlG<`6Pc
z^lcwi#g1Y#)i*uu2A7_~_ThW7zfQh|E&lS0l9YC_OX#8IM&jDV*TM2ll#E+AcqgXE
zjCEf;J+EKFHPO1uNXBBy=JOWg<nfr<cEvc;h`$it{L<j{G0AxRrqZ$OVD0Lsj}{!z
zqak1AcUh1#Ma<2EW0H<Pr35yMLw%&j2my<4?)uDZ@i-q>hahVGTLxnylaB#H+VP#!
zTlGzDG!%e^_U^n&g+LArcc~_ZG5VI9aLdj)+A<!lAWKoaHC%hcO&?1K;#WzIL;Vk0
zsIt+dhoq7r8X<WnT~S^Bc4;L%dO5+F7may+CU0GcVEdbR)NXKJt9a>lqAcbV{<NRQ
z$l*TuU<o|rJGPjwLK@Q;h;Sx}rQ+ud&tFA(JbKRYWcYYSn8P_sA*fSSSyvEo`1-Kl
z<&~NAW(<0Q2j~Us1o~*W^8TOo{rDkllfA*4v&z+qk8GNyEEXZXGV>|L$-b~6_?60J
zXK!k=yQZsU9Y1Iqi};Knk1CYO(!RmQivY*t$zQm;dv(4@%S3|YC1&s_zYZgu$+4Fp
zDnWjt{-xiRRNC1z_UEDEl6W%;S`yMLm_^dlui0W+EMZ3)XmIJC8uywczEh*6mejDk
zneoT4d5Tp?iGk6#J5Z7?EO?lL&JoBS9bCB3tk=Xt67`(Ow?pB2woNK?=zNj9EtfoR
zijOzup<8*t$Tmra(nezZ-qt!#!Rz(=Es@aypxRw~AXsszxWeJ4?5O)jRuMIfZ(R9_
zCEF3@Dpq&*+mEBYSKlsS97;B6)_T^G8_9m6qzd?vaTX)(ra5H%5otnxl)SzDeovw)
z42#T$`0BRfP>VI}W`Z1z3VQT6w=AY0*0k{tlSH_GMTKC9=&dV<6qqx9=q|e9y=`i`
zr`JS;l=OEACvFnl!<uG%6Fe-ep8U3!*&Iqx!2>d;J}19ok}vz8Ross{@n-iowKvM3
zL*&v@k$xepr@lXz9U=-FweC+Gu9I&~d^PFCU-8MMRlZ>!7T<oyAv3~PG0W=MGbo??
zn*NYD`+@#Z<)an$4#*u*lyO-Sr3M*u^xJX1ztpc{mQ-n<<4mXhP2T#pznr1Jk*IwP
zl-8g*mr<WF_bewO=5uq5`PFR*$Xk1#yR&Ym9hgDHnl*I%Wc(fL!-3k0@yQcmeiZ{3
zkV07+d50r{7f)nN;=K~#H78@bUu&JpYAYygLgmwUak^HnomXxnF>z;JU_P&)aR^J4
zz*nBiFU&vcukHE9eO8HQ#yVv}1(7lJl2$+Eequ?Fol9_tA!(N-ISkK#evT)HJ@GoK
zxD7*`%&+f6V+JAmSBQegkBV<Z)iMuq*`vAh{|R&7NTg-YrHMwQss1Ho7xU#|xd5{)
z>fWTB5Czz}>kvAnAs#e(d*K?9&m3`7|8i7vaD08`nGv8~q^sT5BK6JM+=M&u7AoyR
z)h&5<v%3L3Ws66P=dF;C5<|3)gm^%wtr4!Wf@dVZau1U>?4r^i_vor|>QyiL1br&J
zGb}Vwlb_A~mW_RFj@4vAlt?;=9RU}X*xjxV(tAw)vVA_iEO7xn+ws<rBwDt@kVUM{
z3a|R;<!sJ{)yr=iYRp#m$}@km=~ZkE73p5XHNh>j9{Hpg%}5wsOO)?uk5lsudE8Le
zeUz+^5lhiSR?&Sl8Y2C!>ZJEB%><L%b%SvKaqME|n_gaCGmDEXZrAyz$GTQm;dg1u
zIjsQyDO9g6g&w}N`X4mk&tBOveHOfeu50ALUopAe{B#IHOjKfGXityY?&efO?+&mC
zhhP%4UmxWIM)@5~V^tujae_snPZT60AC(*)u??`H0bWI;(LL#fEiJMZ<)h52?(?tj
z_7v&~z|e;aRwuTay_;fU*NKRTsy06#>y8?jGt}K3ZU<tDj*U%ugZoA0Id68A!_a!q
zaq7h}8%UadcAx)b_c{dz25Q&3vZ*8s`U18N1E~|NBxit&w}AeMUjS1H`R|>bcWV8o
z!up?|UxT}|gFZ=^F*S*`14wjwwEQV}2Q7E+FM_buW1+hrw*nFx?d{w7177BXz=;~%
zgE>1GW#ux*5tpBvD+#j<t?cTglBSLhUb*gsg%G_oh=Akc<B9qz(Tti}TA6y4wrp0V
zFu38!tcn*ZejJ)>3Aq$6=s*ubcIdfvN=PUnbqc5*5camlow^$v-?`o=#>a1_Io-mA
zv&IGuhFs8|7BL2E3OS$E8_SV%@pyf-{QTXQV2(>X{c?fW80e_N4?C`~UeL)J@(Ili
zr~(XpdM#wZR~JDeLFC`)<GERX75^%GKupY~E^t$N|6MhL@fK`YC_=)oFyf&pDPP%6
z)XV^}f~ZmIf2{j`5v(*pF!$1f=L0s+=T4@tLRQn^_8iHzYj|{6pATp8Prz7p2Z$;#
z4V9R+lM+w~qCsANI#|${87Uqr6GZgx!-tD7-nws8FHWzmSyy!OJsnJksgvf#Azemh
zCKnJB&q2Hsblaec<1ivZ!l^I(L&~*XcQZcPUB0KR{1rI5ZCE3MfMXBl&A=f;&(6z!
zF0l9ryN17HU<J&ktxIWWkN{iHD>&35DfB7zldj}O@aX^@>I-A)T!hGmBn&$RKl#r)
zP^}LP04Tbx{V_YRK+=p=*vNpMO3%RHF#QDsj7^V#g1o`T_Lb7E&KKgFfJU5Zdwbjc
zWV`L1<}C-X+kuKlaE%)a%tP*He-F5T6A1_kk^vKHirb_w$h+X(*;=ohn%(q169Fw}
zyHjAw7_=$vl1JD+qxC-_s*K?Xzjb%F0i_tp^Q3DUNF~0p1)$%yU}iLJ^utCG5#b=a
zper|0&#g!Lj>-(YX1Lqb*oXmIKL@x5l%(R{z6Bl^cNa*7cCH=ZP{4KY)q#+Jpan)S
zN~L4?@K?Woznt1%o}2SGX@03=4e@6RuD|ny<Allge6ELcou*x*J)|<Z%JumB<*KSG
zkP(sQAmTQ#9Z1RshlDg1n>2&ad9FXgr-7Ev0OQr2OcD@v5w%)3K9H$%HE$)0dr<(n
zd(J2aqkt}g@eE5PMHrjjPbH@r=mz4#hp*&gm}ejpt<^e!iJh6B4}g<lfKU7L=MUMK
zwE`F(m{pQ3_P2qPvfrMS3wZew69LN1_tjMna2;SFY7ZV@!x&zggSqSB<-g;t4Du~c
zia<f;fYrNR3yPC*>M-SM`x#7717AYW$bkL{MqhK8#BzyAhBZu&-6h{tG0#NmgXKP4
z7L{ZlG-i%!S}RbfbODmU{wp;MgMF>}C1ErCFc;LVWMP+!igEof7B#@$3?zE7$KDFg
zDtxGaWu*X^$BaiW?e6W#0kPqKJ8iF<@`L6rV5~sim7BoMIJZJet_vyBH^FIeS^i{n
zfA;KMK>@)(#=#H0za`F2N=KS!g`oxm|7FKnSh$GlPLr5gy0r_6wC)5^DIrl4dpi6C
z?6tz<b=(;Jh8Nd?j|UrGBP8Y4+lG^`We3|U`5zPG@F9gES(QEgz!;1mT3T9gkkf^g
zlicg-;19?I<{eB9=OyEOKY#yrd=6n792waLWU!4@<*A|egyGvP{;}C0nirDbuij`l
zd(l_+vEh^gc%gV+OHv#HawJwEkjDFj1dO{j#nvV!bheXqAwo_I@itS&oYPPh$R%Dp
zPg<!>fdT_%mQtysy`3vuDCQ~+g&RgRBf$LzYy@c8S#YbJN5}b(L%m7pl1YJmmXnjq
zwy#+&s!i9(D}K^V4TqnIxkBuHcmZ^Bhm%7GGznZBsGP)42h9PrP_SkYLv~}pTF1Q(
zCOWAf@eeU0H)0i_>?SRAfB()c=5{>S@s?u_Hin$XoWNs$&GHBjA72J&Tp;sjR#rkm
zFPSav7MJnxs96qme(^#a{Fhu7J+$LcE3@}+-@XlOwBPLPBQtaJM}Lp@Kn(vHfOm;v
zHxo4J-ghN;GA-@D)|Qo(_3pS$c>y(7<qI0RU$8w`NI|nG+qz<2(F$F|Cntx6-LNkB
zd_O^&tvWkB<^tIVMQ1<%jpXD{xA)7;OoolR9TgyManii@ubnFoK<tlupZ&e3qS6X%
zvW?Y8uuZuCZf7ZZI>dfXih@3MUbvy1yi>aY*5ClJIi6FXxdjC+P<uz`XP$V)jbiyg
z;+ueLo|By5{BqEL9Kf;~M$UzaP>7y_<CTPpia<+i2xoO^=pzjX&adO*UcyzTqh*#$
z;G>wGoh|k{c7;AAmD6Ve=@c(uXXr0B1T3O4FxLnIR#fmmn1G}lZtEljj$ZH_59fM&
z|LHJN3hITj8J=oX@4-jywX1GDS$7TWIBI#Cg!|?Rb%&Qeh@?O6h<ki=csM>Xy7L5V
zNNTrY!!c*!#NcZM*`7z>DFH3Y4Mi6f9qo5NM}@Bj<{7BEP&tD@jvAksQ0@ysK?;HD
zzXTFY{)RFyL_y!WV5L#|VLhX~G?47h!q-7KnOJg7+y~=%1W;^;M@JPkX$>zppAN#;
z3oiGZj2G~^M;7BR!>-5liHV6(c53P9gq)l_2a{yWTJ@)z+YObMq|5$P5IfmmTKryk
z`V{)+)}GC#YO8Hxe*V);2~DLJU{X{8+8DpqZL<}^1Wigx?<N%19(sUU*M#y??D$Ke
zy2H3Y20V)Y32iwAT-O9%4J3ehc7GSzJv+fCAg>Q&$VWRD!<!tqbhRny*_v@a&VT#D
h2z+%!TWjYGW6<t+iCD!a6~5Mj$jhn77D*fX{V#hC3Y7o=

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_base_classifier-members.html b/docs/manual/classbayesnet_1_1_base_classifier-members.html
new file mode 100644
index 0000000..2d6144a
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_base_classifier-members.html
@@ -0,0 +1,142 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_base_classifier.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::BaseClassifier Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>()=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;&quot;) const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>()=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_base_classifier.html b/docs/manual/classbayesnet_1_1_base_classifier.html
new file mode 100644
index 0000000..c423364
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_base_classifier.html
@@ -0,0 +1,299 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::BaseClassifier Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_base_classifier.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="#pro-attribs">Protected Attributes</a> &#124;
+<a href="classbayesnet_1_1_base_classifier-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::BaseClassifier Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::BaseClassifier:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_base_classifier__inherit__graph.png" border="0" usemap="#abayesnet_1_1_base_classifier_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_base_classifier_inherit__map" id="abayesnet_1_1_base_classifier_inherit__map">
+<area shape="rect" title=" " alt="" coords="5,252,173,278"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,252,358,278"/>
+<area shape="poly" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
+<area shape="poly" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
+<area shape="poly" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
+<area shape="poly" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
+<area shape="rect" href="classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
+<area shape="poly" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
+<area shape="poly" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
+<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
+<area shape="poly" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
+<area shape="poly" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
+<area shape="poly" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
+<area shape="poly" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
+<area shape="poly" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
+<area shape="poly" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
+<area shape="poly" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
+<area shape="poly" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
+<area shape="poly" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:adb5de0dbb35950189843ff123cae779a" id="r_adb5de0dbb35950189843ff123cae779a"><td class="memItemLeft" align="right" valign="top"><a id="adb5de0dbb35950189843ff123cae779a" name="adb5de0dbb35950189843ff123cae779a"></a>
+virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0</td></tr>
+<tr class="separator:adb5de0dbb35950189843ff123cae779a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac2100871673e2e86c2c69161995619d7" id="r_ac2100871673e2e86c2c69161995619d7"><td class="memItemLeft" align="right" valign="top"><a id="ac2100871673e2e86c2c69161995619d7" name="ac2100871673e2e86c2c69161995619d7"></a>
+virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0</td></tr>
+<tr class="separator:ac2100871673e2e86c2c69161995619d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a78c898bfd3e2416729324086ab2bf103" id="r_a78c898bfd3e2416729324086ab2bf103"><td class="memItemLeft" align="right" valign="top"><a id="a78c898bfd3e2416729324086ab2bf103" name="a78c898bfd3e2416729324086ab2bf103"></a>
+virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0</td></tr>
+<tr class="separator:a78c898bfd3e2416729324086ab2bf103"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae02545ac2d954733112f6f4d5bf68824" id="r_ae02545ac2d954733112f6f4d5bf68824"><td class="memItemLeft" align="right" valign="top"><a id="ae02545ac2d954733112f6f4d5bf68824" name="ae02545ac2d954733112f6f4d5bf68824"></a>
+virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights)=0</td></tr>
+<tr class="separator:ae02545ac2d954733112f6f4d5bf68824"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ddf175d6893aac89a2ef611afe2aff5" id="r_a8ddf175d6893aac89a2ef611afe2aff5"><td class="memItemLeft" align="right" valign="top"><a id="a8ddf175d6893aac89a2ef611afe2aff5" name="a8ddf175d6893aac89a2ef611afe2aff5"></a>
+virtual torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><b>predict</b> (torch::Tensor &amp;X)=0</td></tr>
+<tr class="separator:a8ddf175d6893aac89a2ef611afe2aff5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afd6fda8b5fcecabc21bedd2c02cab485" id="r_afd6fda8b5fcecabc21bedd2c02cab485"><td class="memItemLeft" align="right" valign="top"><a id="afd6fda8b5fcecabc21bedd2c02cab485" name="afd6fda8b5fcecabc21bedd2c02cab485"></a>
+virtual std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>predict</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0</td></tr>
+<tr class="separator:afd6fda8b5fcecabc21bedd2c02cab485"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a71d5bf298133a976bf201eb10389a64f" id="r_a71d5bf298133a976bf201eb10389a64f"><td class="memItemLeft" align="right" valign="top"><a id="a71d5bf298133a976bf201eb10389a64f" name="a71d5bf298133a976bf201eb10389a64f"></a>
+virtual torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><b>predict_proba</b> (torch::Tensor &amp;X)=0</td></tr>
+<tr class="separator:a71d5bf298133a976bf201eb10389a64f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac095c945916957d131fb161db0d69491" id="r_ac095c945916957d131fb161db0d69491"><td class="memItemLeft" align="right" valign="top"><a id="ac095c945916957d131fb161db0d69491" name="ac095c945916957d131fb161db0d69491"></a>
+virtual std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>predict_proba</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0</td></tr>
+<tr class="separator:ac095c945916957d131fb161db0d69491"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6f4cd18f841e4522a66ce42f50dbad61" id="r_a6f4cd18f841e4522a66ce42f50dbad61"><td class="memItemLeft" align="right" valign="top"><a id="a6f4cd18f841e4522a66ce42f50dbad61" name="a6f4cd18f841e4522a66ce42f50dbad61"></a>
+virtual status_t&#160;</td><td class="memItemRight" valign="bottom"><b>getStatus</b> () const =0</td></tr>
+<tr class="separator:a6f4cd18f841e4522a66ce42f50dbad61"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:acfad4f5338e97e053deca515ee2ec01f" id="r_acfad4f5338e97e053deca515ee2ec01f"><td class="memItemLeft" align="right" valign="top"><a id="acfad4f5338e97e053deca515ee2ec01f" name="acfad4f5338e97e053deca515ee2ec01f"></a>
+virtual float&#160;</td><td class="memItemRight" valign="bottom"><b>score</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y)=0</td></tr>
+<tr class="separator:acfad4f5338e97e053deca515ee2ec01f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab4c8e4421870ba12305e7c8748ab3138" id="r_ab4c8e4421870ba12305e7c8748ab3138"><td class="memItemLeft" align="right" valign="top"><a id="ab4c8e4421870ba12305e7c8748ab3138" name="ab4c8e4421870ba12305e7c8748ab3138"></a>
+virtual float&#160;</td><td class="memItemRight" valign="bottom"><b>score</b> (torch::Tensor &amp;X, torch::Tensor &amp;y)=0</td></tr>
+<tr class="separator:ab4c8e4421870ba12305e7c8748ab3138"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9368faebff261f9628427c3932353f00" id="r_a9368faebff261f9628427c3932353f00"><td class="memItemLeft" align="right" valign="top"><a id="a9368faebff261f9628427c3932353f00" name="a9368faebff261f9628427c3932353f00"></a>
+virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getNumberOfNodes</b> () const =0</td></tr>
+<tr class="separator:a9368faebff261f9628427c3932353f00"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a0280c78d7cc7f0ea0d1df0097b9184" id="r_a2a0280c78d7cc7f0ea0d1df0097b9184"><td class="memItemLeft" align="right" valign="top"><a id="a2a0280c78d7cc7f0ea0d1df0097b9184" name="a2a0280c78d7cc7f0ea0d1df0097b9184"></a>
+virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getNumberOfEdges</b> () const =0</td></tr>
+<tr class="separator:a2a0280c78d7cc7f0ea0d1df0097b9184"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ace894eb18b2cd5de944f76f018e2eaa1" id="r_ace894eb18b2cd5de944f76f018e2eaa1"><td class="memItemLeft" align="right" valign="top"><a id="ace894eb18b2cd5de944f76f018e2eaa1" name="ace894eb18b2cd5de944f76f018e2eaa1"></a>
+virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getNumberOfStates</b> () const =0</td></tr>
+<tr class="separator:ace894eb18b2cd5de944f76f018e2eaa1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abafcb76bd7b1ea1604a3dc93f5d71fa3" id="r_abafcb76bd7b1ea1604a3dc93f5d71fa3"><td class="memItemLeft" align="right" valign="top"><a id="abafcb76bd7b1ea1604a3dc93f5d71fa3" name="abafcb76bd7b1ea1604a3dc93f5d71fa3"></a>
+virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getClassNumStates</b> () const =0</td></tr>
+<tr class="separator:abafcb76bd7b1ea1604a3dc93f5d71fa3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9bbd90a23b7c7816d7588038b51f1ab1" id="r_a9bbd90a23b7c7816d7588038b51f1ab1"><td class="memItemLeft" align="right" valign="top"><a id="a9bbd90a23b7c7816d7588038b51f1ab1" name="a9bbd90a23b7c7816d7588038b51f1ab1"></a>
+virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>show</b> () const =0</td></tr>
+<tr class="separator:a9bbd90a23b7c7816d7588038b51f1ab1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a16a59775f8654aed7aeeba7a1ee401ae" id="r_a16a59775f8654aed7aeeba7a1ee401ae"><td class="memItemLeft" align="right" valign="top"><a id="a16a59775f8654aed7aeeba7a1ee401ae" name="a16a59775f8654aed7aeeba7a1ee401ae"></a>
+virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>graph</b> (const std::string &amp;title=&quot;&quot;) const =0</td></tr>
+<tr class="separator:a16a59775f8654aed7aeeba7a1ee401ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6a9ab2cff3efdef958a7e54bb52be562" id="r_a6a9ab2cff3efdef958a7e54bb52be562"><td class="memItemLeft" align="right" valign="top"><a id="a6a9ab2cff3efdef958a7e54bb52be562" name="a6a9ab2cff3efdef958a7e54bb52be562"></a>
+virtual std::string&#160;</td><td class="memItemRight" valign="bottom"><b>getVersion</b> ()=0</td></tr>
+<tr class="separator:a6a9ab2cff3efdef958a7e54bb52be562"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4d9413bf2ee21aa4da43ae40e10cf532" id="r_a4d9413bf2ee21aa4da43ae40e10cf532"><td class="memItemLeft" align="right" valign="top"><a id="a4d9413bf2ee21aa4da43ae40e10cf532" name="a4d9413bf2ee21aa4da43ae40e10cf532"></a>
+virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>topological_order</b> ()=0</td></tr>
+<tr class="separator:a4d9413bf2ee21aa4da43ae40e10cf532"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a918abe3abd2243fb37d87cdd768decf5" id="r_a918abe3abd2243fb37d87cdd768decf5"><td class="memItemLeft" align="right" valign="top"><a id="a918abe3abd2243fb37d87cdd768decf5" name="a918abe3abd2243fb37d87cdd768decf5"></a>
+virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>getNotes</b> () const =0</td></tr>
+<tr class="separator:a918abe3abd2243fb37d87cdd768decf5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad92d4c2d3d317093182c3bd47cc69a66" id="r_ad92d4c2d3d317093182c3bd47cc69a66"><td class="memItemLeft" align="right" valign="top"><a id="ad92d4c2d3d317093182c3bd47cc69a66" name="ad92d4c2d3d317093182c3bd47cc69a66"></a>
+virtual std::string&#160;</td><td class="memItemRight" valign="bottom"><b>dump_cpt</b> () const =0</td></tr>
+<tr class="separator:ad92d4c2d3d317093182c3bd47cc69a66"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2339f26202a1c32f0747cd16fa81b081" id="r_a2339f26202a1c32f0747cd16fa81b081"><td class="memItemLeft" align="right" valign="top"><a id="a2339f26202a1c32f0747cd16fa81b081" name="a2339f26202a1c32f0747cd16fa81b081"></a>
+virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>setHyperparameters</b> (const nlohmann::json &amp;hyperparameters)=0</td></tr>
+<tr class="separator:a2339f26202a1c32f0747cd16fa81b081"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:ab244ac8e57aeaa72369688f484bffc9e" id="r_ab244ac8e57aeaa72369688f484bffc9e"><td class="memItemLeft" align="right" valign="top"><a id="ab244ac8e57aeaa72369688f484bffc9e" name="ab244ac8e57aeaa72369688f484bffc9e"></a>
+virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>trainModel</b> (const torch::Tensor &amp;weights)=0</td></tr>
+<tr class="separator:ab244ac8e57aeaa72369688f484bffc9e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
+Protected Attributes</h2></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_base_classifier_8h_source.html#l00013">13</a> of file <a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a>.</p>
+</div><h2 class="groupheader">Member Function Documentation</h2>
+<a id="ac4e33e5450cbd7ffe7b8ba5608106722" name="ac4e33e5450cbd7ffe7b8ba5608106722"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac4e33e5450cbd7ffe7b8ba5608106722">&#9670;&#160;</a></span>getValidHyperparameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; &amp; bayesnet::BaseClassifier::getValidHyperparameters </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_base_classifier_8h_source.html#l00040">40</a> of file <a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a id="ae2d94700f470b5f4a623965b1c442c6a" name="ae2d94700f470b5f4a623965b1c442c6a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae2d94700f470b5f4a623965b1c442c6a">&#9670;&#160;</a></span>validHyperparameters</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt;std::string&gt; bayesnet::BaseClassifier::validHyperparameters</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_base_classifier_8h_source.html#l00043">43</a> of file <a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following file:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/<a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map
new file mode 100644
index 0000000..4ee5c66
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map
@@ -0,0 +1,33 @@
+<map id="bayesnet::BaseClassifier" name="bayesnet::BaseClassifier">
+<area shape="rect" id="Node000001" title=" " alt="" coords="5,252,173,278"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,252,358,278"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
+<area shape="rect" id="Node000010" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
+<area shape="poly" id="edge9_Node000002_Node000010" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
+<area shape="rect" id="Node000012" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
+<area shape="poly" id="edge11_Node000002_Node000012" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
+<area shape="rect" id="Node000014" href="$classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
+<area shape="poly" id="edge13_Node000002_Node000014" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
+<area shape="rect" id="Node000015" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
+<area shape="poly" id="edge14_Node000002_Node000015" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
+<area shape="poly" id="edge5_Node000003_Node000006" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
+<area shape="rect" id="Node000007" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
+<area shape="poly" id="edge6_Node000003_Node000007" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
+<area shape="rect" id="Node000008" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
+<area shape="poly" id="edge7_Node000007_Node000008" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
+<area shape="rect" id="Node000009" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
+<area shape="poly" id="edge8_Node000007_Node000009" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
+<area shape="rect" id="Node000011" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
+<area shape="poly" id="edge10_Node000010_Node000011" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
+<area shape="rect" id="Node000013" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
+<area shape="poly" id="edge12_Node000012_Node000013" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
+<area shape="rect" id="Node000016" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
+<area shape="poly" id="edge15_Node000015_Node000016" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5
new file mode 100644
index 0000000..0904b24
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5
@@ -0,0 +1 @@
+db5ef66c6a031328c592dde37edf565d
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.png b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..06c4ed899875d509921ee1faac49141a7a9dfc4d
GIT binary patch
literal 43173
zcmc$`1yoh<x-UFwln?|3X#we0LE0b$=@w}PmF{k&K}0}88j&vP1}SOjZUH3}L|X7Z
z3-{jN`R+OQoO|vVcU<=v`_I7TTywthyuW&8u#$o_!Fh`F2!asE+?P;65R4K8LG#4L
zhTo{6ClSMcu#Fx_OCWzx|4XgUib4=NL`LF{nsegDjGLCa@vOksk9xyyR^{odiw{f4
zC`pr~=1A>^tuePhNBjKD&GCK~B^bf06d_9Sd~E8SaZZww+VG8=Lu22R1(sV1?J1;(
z%gh;7)n4$TVa0?~?aemsU$AFB|A@!H=D@SiOm|6W=D2p$ME-ZxSPj{2iT~u!a20C-
z1`#naaXBedR8DCS=JO=KwPcmGx5NxmPt211vaeZ>3L)_K$`7v6-;vEJ&|XcgVWuZR
zGanMdQGU=w|0XCXDBFjCR!nCdS1qvN_s<6f3`FHDLVvFc|8RsfREz%Xk13y4>qYnt
zTr8^j>>t9vO~Aig^7sCRpA-jOJNsZdlV8#JRrt~LU0<T0-@A8=91lN8tg|HCvRTA@
z9TmlE+(n8{&NE-QTU}j!%k~Sdh=>S}K@(C{TZ@6{c^(?a^_m<zCJ8%9DJc>8`uehM
z{+To@x+*T-*wwEfCnqsgVX?mTEGWCMnECAXBaaSOQ%Ve5unQjlHbp~2<B69mpS3#t
zxvW)Ugf;7VyjeS1pjS_!TkF{N(I1c3aYO6Z<`mh)#026E_x9w;lctG@E3&NaC%a>~
zgoN$W)pmxZ6B`!q-o2aOT4>>U+v_AxZ~F&F?(8{-sorH~O2)}C<>X-C5C%m=L<9xt
z)Vr#m$HU8;<`NgzH|Kv8K2@KYntD55V_mnqKqF75&begrgyV83DJki2RWBj6P|(1$
zeD#XOMWgLszoHKgoNb((V%NutrpDrXO>7(;-_*P9PgZV@6{Xbu>|&><H{v0GGE?Ia
zGbwEU_0?B<p@|R1p&s!mDJhKCu8pv1s>?A&p>FEg$&Tc(%0C8$xKxWHC^*<BBH}__
zUES8Os$yDpHZJliAt7Y8-mPVBj#f-e%z43|3_%ta7UBf$Ofvc1Jv_F*Wu>4aFKI+W
z#5|5tA9uXuA;;G$Ht?xmwHZj4{5p_<^ZVpvAV-y%>XtQfyRD!%IXT&Rf5vHHbCbZY
z**ooC;NoPt8R68%T%$ObZp{nkWM_0%R#wD2^Fb{Aty|;CKl)sd@sh_l_}Cbix%I*{
z3bZFmF`6P7r018H{Xc(JLcHI;rM!Fh?yEO%G&Wt}Tj-AVe?(jmJ4oHrNB_I}9@vYE
zmLQBwOj190c9xrbFb3=0oF2kW1_g=y{KW9VxchR+ggGoUhJr_xZy2OseyXsTdI!_5
zqM^Y=PoI;Mv-s^BtAOS7D;V?8qM{-WohqdslhQ<SFFn^^U$4r@$k-nJdcOVh=j)Fj
z@3OM9M>U@A7F{GIWu&LiQcSswz%IBdDJl6nIhhLv@q^8hRG>x3^bCpF4T|Mnfw_D~
zJqgBJx3n&E>9Ek#UpMJ_H9tRZ+OMjt9C>hf*x41sF8OXPS&KNbs_NGE?rwSiG5q#m
zd&zivu`TAk#Z<+}f$&8`MGobAj}<vk+l@iM>(reb9~=J)A0`R2!i#}tFM3T{R(jvU
zU;5P5i6ja+oaf@=`t<2jQ<cq<L5bFeXw+1tRmY2SB=c))A@JmB`T6)eE4_X}O$I!4
ze0&#$9XGs#n#}nh@2-t}>hG7nd-tPm{o4m`I7%+OgH`$>EDS%;LgN}EBc_dw%}C!<
zW8>y0e1>boIf%DR6chY>m6>_9uww7WT*TbzUgg)(0?PODZ&$WNurV>4Iy-X)Km7jf
z{=~#YBf-|rj=JKW#N^`FR@D9p*XnplJ&+-N;n>~4fUd%F=6sSuAl%?W{r;?<Le{-T
z&yx+TguFcVWY44L=5r0y&CSi@)ppFNPa>asdL)#UiI4U+AAPes`t{9Euin-0<Y-r`
z!u-m`ix-KAh`c33FE4a5r<7TZHF&rkH_l8?D`{w~6!#vZ>O&AN_5~Vzq<F%7FI`kj
zj0UkjIdbTUzm8Mu^rJmpGIVRBwEr&aa`B96mV)7YlTXYW`M3N8B_$>MF;PKfe`{Vg
zad&U8q>GE-FIQ1y9#-<#$#Qnoe!;@KOeZQz?c?KvAmZZU$DXS1<?cvGU^2<YAp!yd
z__ShFw<U=u3w4E`7#mN7HcU_JK%IlyKpY{uN6sXl@B(HMHnid1#>C!JMYP*l$IDV;
z)rV9C8T>z_Wo6H!w#%na_m5$HzcE~D4~N<lIASWPr9}?))B5KZ8D}@QxzgUjK^61a
zx-0#n`_mrA^y%$>l_VsvPHq}q4#oOWw?l}`!%{=-K-5?6toFBbcjKL&o+92*aOtmK
zAJWqzq~ymhEG!HP4Q=_-8MWEAnys9nq@?5xgK<aVRZNV3aWRki#0M<tmsHJgEt}=8
zOYqeU931(B?9X$TvgMJ_>$`hssmT0%v){qNQbb<jT%(tGUy69d__)@ujfo*K*gXr!
zKN>r>mpZoly-rEyJoc&IaOsA8_`vt&%NIIk=Bz=BCM+zhPo15293A-^4p%7gsf9>q
zXJ_NCKUK)wKph-*D?PfZ&!0apXoM08f6`5sJ+U3vMho7)@b?df!VHx%Uc}`?bWDtl
zi%T^=CBIx<eSN0e{`ZSluCT(aF0QY$!zn;d|N7M{I^;_Styli=cUZ=)EiLzI?7z{w
z*6Y1jOySDR%rq*|dh+Sj)xlhK_A5LF-l$!itDYzECDtcNR#tXnQ$k8g*4@3Xg<nzv
zb|tf=rRC27Y1-hRPrna$mKOqPD=O`d-PP2h!>(L^-?cN4r^y{08X6@q>wFKHzPY<T
zrYOON?O5Y+c<+KJW2s5+>%_!F+0DblL-h$lM9}`LQg|aX;l|nVBhjm35js9){Pbxz
zRMhX<p0HYEf0*}nc9t|=cU<m@;WKItVw<YH`Eko1kBp78a>Cpemd4@Ul$F`Z_ldPh
z(i~?ma~Btvf=M$rIL~i#h><*iD-UDZ!|v`{o~d;zx-nPsSeo?m<wcnNvm?}Xy?|{W
zb;+b?m9I0k`yR&mh4RR=sftaHav2GG=6_tG2Nt&B_vvbwBEt4?$}9&e`gEbTWE6Zz
zH(}!8A^P_1n|22seJ<HX@V}6PB&x!p*5?%tqhJ6O07p9Kub*KGf{j30&+P3AdT*6o
z@_?Z1U_;`wTfJ>BG=oJvksKTA)Niq4o}4T`A>`OyB07Fk!s|w_>ZQ47-a+;$s1Frf
zCn_iXT}uPkS7snKBh?S3Q(=|EAi}-#9-Uts>qh~e>VBbnaF90g7sXJ7h;q0-qG=B%
z93Xmuu%K@R<Bk>)w9TbOKTC=X%I5uh1MhsEW&A=X!Z4ul-a~g!!(<&Rd_2ZX98yV0
zLagq0_CU%QE}jup(@M@=*sU!7#E31XR#v`NsY#enk%Jh0`g?B-Vbnv9lxk%hOk$RX
zTsp;UO2rtI;3)}ZcVv30bh%&$hUD7camr=pbu+GF=|S7V^ma$`Bm&=+XAC#qd?_U{
z{G{YB1S0geA`$2xb;dq#hxwJENkFLix@OVRkRrWW{OBQ|G@-xG=Rh~fvPrs?NDzn7
zr0N}k6<5KfMm-`#Nvv%5aVi)!{GR?_X9furoG&+-BeJ9_sax1qSD5H?Y5z{n_ZGPf
z%%FL3Nke*XFTAaaJiOO)v}qw_eQ+y@+m1%4nbwXgk@n0`)iS`KPu=21loc)*b?2hx
z>a3efNN}Q^fys1=pu@W~m)TEAn*N||WgyoJ^;_O6(nqVGedgR>z=@N-C!-j>Bw0dF
zajDIWG*pwGe)BKF%)Kj@`>S|j>-7h^^XJ7&oUhTFQvHRdGbTrR-wH8KRWX%w)1AXj
zwq+%To&Wx$kG-19U$@vunJ{iKoF6LEZ@YZC2#zDXvoA9pNDm)W@IFM6F<up5UN6+^
z=-|)`4x(UgI2&H=cUu;NT|*@O==U)Vu!@Ig0-Q7ga#Sp$h>0T^&PFC%Qbvw+#$TEj
z?YtGTg;qS+d9JAF$gd{XfuEkfM&NAphm9nz7{5b*gZ`Dlx4iFsaNgY!$pSlAnZ4Wb
zs6Ar3XYxJ9ry?YIjQITc(~`x=Xx=rqvkz>RppbRC3A<y&!G!%mBR?ILua&(J{zK~Y
zh5;cmV&WO`zu&MSCx7Vz8RcTZd2aMu7n)mdri~M3O5_1PWX14q)JRbzSnL31@M}~E
zQ`xTL48tc}Aifk6k|Vnnz*2=c=Y-<TKA=kD(3T$hX7B3Pj96J&6=W!he(LUSS?-SA
z)n27DJ$E+N%B4gW(SO4GOQ@O<;`~d^Ua*&3v{!4A0t0a-E3Jwg@N;q6+S;nz4?m3Z
z25Dpdy}@^)JMs2|>)S%!tVVvFCQGUE5)!>v{?5T`BXJU^Jeq!t18zk89*@oDv)$m)
zYN!XEe;=QTSxCM8Ar?F0%-;Og(sxV~rr>ONP9C4t1^IUT43Tt_d~btd6)ha*x<nBb
z-9gmo+@$*Z<zM9mWFBRyaA0q7c>BpNcrgcNGia~Ezy|ys3X1ZtYF7eP>Mk@<-`0us
zGBP$w|L{C1Pb^8$4jV9`)`us-qsljI7F*9TGBZE!ie@DT)}p)4t=|xKLHswWy0LI@
zNC2#9kD!eJL_1mOa=098$p3b8=iiW-^4))u8LHsmU?`#%)YO-VM=m9eqM@o^E}vcH
z@1kcJ?u5-;2ve5rLD4z&?ze7ec!>C)-`Dxg$5S1`^f~G15a4^G$DH~NRO}l0O;c8l
z9%D5_S&EN8r`{Q_abO49#N)801_<LtK)~XNrhd6qY;-gV*WD5pzQ^ic)Obn(&?-*Y
ziOak~-}8lvii-8YmSJ4)N-Yy{bt48dEJ*tFHw=5%Z6YSvg9oHo!}+@g;zarGugf_s
z<P|jt+3jsS%nANqbD+sO-8*-Dv<gOR-#jYNsCM2qDnEY6aha8cCEMmLwU9kg#(-9y
zIV=$r7~kIBUi|)@Yph7WsLT@{;UX0k$F*zMV%}KI)Tkq$PEU>{C0Y%5KGis^vsu`E
z{d{%cn>`BWAM*j!l983oRd3Ht6m`>RI9kiQuKg#GxE%AWcBV@)pcc*UK`hJfE4M$E
zn~}#+y(ctHdVmLLh?kdlYkS)#HkK^eb&Zwu(j_!RMOAg6*2(JN__(E`1BbhA3mu^o
z5uv*Nv@d@+ps0vj?Btg!(ggT*AWM<feq)>%+Yb%zGDq<~KbLkHuBhuT@5V-PA&0dW
zFfK@TRr$ow5Xp~*V=e$5hCJjvaFpxRI`$gAJvrX*fb)B+l|+&5+BGbs*#4UeCJxTj
z&Wzv%1O?8U4Vo6)LI(hFxH%%X+z)sNX+(kq=G;jD=f~`Y1_d<%wu($l)Y%lI{x=+H
zMIV#+rjR=miWlD?tCjwpFO>g+j<iYI)xXi5Jl(duFEg_{mKzqp#)dgCUjtahu&&Qt
z=G1<1xU;$h3q=wzE0<nf5U@nl8ixxtZA_GIpC13XS2V`J$w>fHMt<D{KO`iC2dH#U
zq96%(!vQ@|F<$orYx{45Sg@{~SCgEqVSxape++EZdAp5ld%y7y^%>#@Zb(bUrPI_I
z#f&23zc;PCT4?_qbeK+wIBt*w35|UH+V|BfBIGvgCHorvBc<<&INlEHqbLGmZDZ3M
zr6?90PAOnCS@s-ZOOA1{vAF}hAy?!njC$)rOCU9rPzEUjAUrW|HfQT8tE*$Yrh&H-
z)6nSoS%m~qP`IJ6#{KL4KZs+WWz?CDEZ`tX5?jYN)7IkO=rzsq{Wtj*kX3ACyum{l
z1@<*HH8&>9@r;d);{>c|Brsu#L`FuU5Vr)TN$Hh5%_1pJPch&t8y3?ao^)Pxc6K&s
z@<ziwfBvqNR6q-V9{iPWRaKSgYUzg$27K|TeT+1{lZk?#UqwY>AXTorY(TPcGSy->
z=c;Tn26qb8&*9>FM@6Y-8Utzsnv{QI=Hc)~<)!8`^flNTCd!wu708GrrEaC@Y8x6a
z;u;SKX+9nRp!e(RK#LeHIe8F}<-1u!hGT`g&Ohq+Q-{8NF47lwQ(gfEnU&&60fbW8
z+M37l`*bjT5*^{YeqC8j?L~vfvBps%N-WSU($i}66n(?_DB#5lO!#8}ih=XbPUg+2
za;v%7Q!8LWfW-yPcRbC<i_z$PoBePw5Oe;w_0IsTOZO*>+I$<l79AbkG%~VVc+z;V
zhzEqXb>S(B-oni0mzl$a2Ze{%7xhRCZ~Z-m{1Pl*SJd#;<zm_)8~&HBnzd)|Xs?=@
z1MO7S(<7|cyMWw+MOEXt8ImC#Vbtu4bzf0Y8rBuk)ZgFVFjp`Y!u%f+G&epwJ3FY|
zHrtDmB75VH<8C~^`19w_S5QPJN}n>^xG_BYeY5gp*7fD6^4om|*u<e^+)_`Tyz_wd
z-dzluKx;<_sv286IJ6z@uJf9W=F1+R{u)xe<@B9u79h3h6gMYl8}NngX}kUzO))?*
z&ceKa3U9{2Ikc)1Kq5<YwJGdonkfg~crKLAx}82@#CxeD0%RF#)cpXXy1>oN4b=(*
zLCs4~kDQyKp!qmYRZR^&7Z+g^vtk8VN`_SU-8*;C_$?+eiSKA=T>kj+V=<IYDnVOJ
zxK>9DyXO4nW_WRNvD@q$w<3PD+eKqjINs>qemEBvmm<UqZ9V^-p4{>}6)}4Jc%byD
z;xSZ8{~wKiXgVTj11l>978e(ZXlWxjA62B5m60N^A|rjawyb}j?l%?<yXgRLOiZMD
z^7QG_TdRiV&uRBSDGC>~TTv5w2@E(9ek%N?aeT&YhCjBxlZ|+mu@TN6!a2!8nLNRa
zU2y$o*<^!J)}u<xi<d7mf!vZl^zF&dFP$hYXL)&<51w{=Z|}|bnc4?1_^s{jAt30$
z*M$b%zkAmgc}45>yF{h-Ex*OZ3l}bY8_W#-y6YM*=1~*<=1oYOQRLNo0r&GX3ZB3Q
zTwGmch955yN5VOZ=Pg@Q7919aQs+S23F>((pg27}{Uswp3_bv*vb*JixVhEp-eGn&
z%a!XUaxtqJumLWTk-^Ey|5hG$0n_*I-xt4pVYHYmBd*uuR#sNFU1}#d7Q^<tgN$bd
z(zxC?=}ovMC@2^+xwo^ES2nXb1oD~bFOT4@OTuRZ(t9^uCNU%Y=jyWzoe2J}oH#WX
zopm|w9C>25TBzUEaA?Fx4sHH>`p3@3_WIW^`)ccjyP3;yHwwujtaF~n76o&nk96PC
zU-}Wj$<1A)?sn6#MC%KXtXD087v^^Rv^W7Po8J0+e5|$g^k;f$uxhZTihCP>=db&~
zC%1jtqYX7!HKrRB6TRmRun+<Av_c^-F=`7jO(CfNk4d5nw}OJgL9dmkDz^oR@>2U5
z@?2Bfc)Dom&~C<0xw1w|IBx#6*0JnJd0mGSwMtj|l0so|7))2$Xm?x%&iEH+_qA@s
zENJ*YL9mH?v`Ku+m1N8MMpQ7dvFSxcb=S!yBz8m22-t~fNlI|7dW1iE>%Hde{J3%^
zIb*XVI5!h$&%ofXyq;<Hs~Y}{NV4q0#22D+*>%u&hu!}|&Et#5{$(Xv#jWpoRJ~_D
z8;&L@ug#r7#g*{0%a3UH=$$Loj(kV@OZKXfe9&Z}!~6H3r!fc!Xs(m1T>v$4lsHKH
zuQ;yuxc{`$IYwxqD4ht;Uoo+3D@%Pztzon}0sU>S2GH0*P=1d2(5%%(tOr*7anx9A
zzW&U$@=oxz1sT2^Q+6FeG4va)@4ANQooR0eU+ht!DcF0Kl*1Y_%Q-V2W`OI9hKaF-
zW{u@rITof-^qeXpD0|>9Dkc;yRm4BCt;6#VMqWQKKj?nX;~>ATBQH73^_+lAB-cAK
zJI*tU)bjS06Yi;{>aF?TbPd`!Z<mn4C9wb2*z$B0<1#`mPIP9L*1~hjDbJH~O7P~G
zEDJ<=zf`2}R%Tb(9gur_pl_5`&)@FCRZoAeM4!&|cOGVzM?bZ!t&|oK_2`l07CuYL
z<2^seq+l_b+K4N~X7CP)K(qFzQ}y;ZKR(tK;z1jxj-~w+2p!?yufC?7(#>LgkI!3!
z-q~^US-I-ET)6zO*teWgqjw0yRq}I9cum(>+zY%tgs8*vPE$XW^~p#KQ=QEsJ#rhh
zz@Gb$#mu{~n6G|nX^d-lBy{T=kD7O+tl<rBE+mB1TFKi()=>W^3zff0x`PIN`pV0*
z3BKCJ!a!Pl*&7G5zu-!N*nm*fo6{$+ab#tAzgDbj)1nz*SyKt5m@ON?s+lxE@sD9&
zd4b?ORo07Wtr+9%Lal|=nWqId`PgI)^3&Rt?LVS($zREM8zPB_JDve8=_%K>1KUlK
zwVHNi&>uw37G<x}hT%Xg=|{Vk`wrDL7Vm$&X;4rY$4w1X2~s3f&ZFQ-e{af1PC|Mb
z==Ttg39&wH96CVhHBalq{9Wgrh_2YJ+9d=Br`Ph}_G4(#HyJ*qq<MJhecv<E^5$t?
za@Ato$#bvp{EJApo|e!#^pZR1ttU!Id?7zWLkaO;`;BqU4=B*7Nt5+Sa%bzyErCsc
ze^*S?l!53~I}%uVUQElM%q$S+J#Llm+CF~k$Lo)L#cs;?_Oj+-0#zdvHFV0?e=<jj
zC~1d~pxbMBlaO}B5MaEP&ij!b_A?B97VA~!kYU%F@><-e%esm@_Tw5)0)4NGX<au6
zWF;gT&!ebdx(Q=D%ev&%i|C>VOA~#Q3z`C(K^RN^uVQ*b<2bevdVLtCv5}yLU?!VB
zu6vDB$!7I8$yEbz30VyEgXtVp<7za>Qlx?1W2B&jCR3*Ly{;&F=aoHUmF>AB8l>(L
zk2&nwB6%UYE*9cZcSeNVTKt%qDTK?7$CF)!muSde1s~%xg|FPBHUqi5uHE}~H{veA
zh<ltBp#-0&Vo?f0{toE4-y4Qxv%E)T)50%L7>P&W6!gLVyoE?mW{xE&In*#6&x(-`
zVcp@eBy4}jhW+>`v@M`tRVvSJH$EjOh=S~F*5#9e2EAUEqgUO_^;Elmu9az=$D{H$
zlX2Klby|AcMhp-8D|G6~yGW)1F{Lk>+QZg9g_yl%e*Dr4?N9Cq92)byzb0!qM?u&Q
zYcTz6<(n?1i+6Z61w<-+R<8_K%XhoI8n#PxuHXkf&mP|M$K~_#%0Xxberiuhe0&ML
zkXM+9s%qOkZgO`sp7*xR3`)hhA<c0Ws5zytA;ED(X%ipM7GvKnTQj;WQ&ug@y+Jl&
zk$T6n$%p#!>0+_UT>-lY{_U9Rp7YMq-W_Q8n5h`nRK9<FKK_Yj-Iya!@7aw3qbz~{
z?-LL2xV2_#EwFh1!BStIQO`tlkm%d5-rJ9>YXr<tw&x@seIhA;pq;0oh3)@LP2}w(
zkN#o;LD|3?nbuA3x8}^GbG*i+;qFX5&k&O`iF*E44RR{md=9}R!ZnBg`kD_I;$WuS
zY~8F<c3bAn+#)6wnqAv=D0UGfeFK#G!TNPj#cwM9ozPU4j4;eC+VfR6X>8)r8&uBM
zrWP{`swG(jQ7ufh_70I01>Hr*<i9U@XEO-tQ^G|%Gfqvz&!qL6yaQ6tvq&3AZr>@!
zYqHF;jnfEMZ6ionvb%!bjE(C$+wnc~JAc{3EAM63Mabbx%}`&O-3OLkeQGpCzQfCv
z@2|@&@-WP2bGH&SuE<*S^<Ampnvwn7l}XyiWz4^-aV_16U9~``t1Tx6OTo2zDPAj+
zPF4bG!p?N-`PQmAleDuV6-G{6*sDBTUshITEStjxMsK^c1eeI^!4mf~FoFf=H(Mnn
z)SgDG`048CB=7zDH7q1sx}w|GSoZmfB;i=>gniZ3K9&lhwAPg{N`7XCmbG`XmRx3=
z8)Ep^2uLe@ZV3vCF08DK4$aKyuCojWk&=;t2|*c;K&2i*L(QvNmWZe*F%eO!1HLJ`
ztzGwak=OI2^zSZiZW$oDYj>ndeF1OvQ&-oZ5Vmru^5*CLGn51Sl;E%A2NU{VdCb=K
zMyTazdsd9QwlFbg&F+l|Yp-4f6{iISD{k1V^jtyND4nmbX-hv>DyrY30B)M66B`#7
z1U?|Yb$S<-2RC4~Huj=A-!XkJYLM#*k~!VqmYL2_qzM_=K4(o<@(#syM1S^L()>X^
zwx!^|eCwdEC;!X>{L{mZ<<@Tp2o(f)3p8_jkhxK)`covs=2YG9pWR>|?;Z9f2{W*;
z;NH1&CuTCY(}9ePED$hbs$z=Re$VN42W?AR8<wKzuA2OX*q}8cD`r^Q^1pxY^p6)C
z`i=5>mV0|6adPh|tWtm&15|4<=byV7d|#BQ;EMFz17&66H{AL!2L}hSyQAV*Y5*mQ
zm=-a*xzf`L{T3fskU_YRgkM&CoVyfN#{WN8JW0%h!VjC^<7mMnVle%3RI@$;gt>8p
zw5Z`I*Q547F~_GyzSKMdcOCqF)r<`sLaHVpb7mer5^4hDC_f>g)^U?U0u!Kbwb={^
zhXY`Hv1FQ#m>3#fg+-D!q+V!i&QA#}Z2&MY+kUBbL6zr;Ym8{RdbtbuNx&0F*ru-c
zi};O?kGolF>b`NKzUR<Eh=6PZsDCec7;G*rj?2KEr^^d6eq_E+acVT7xYmR%*Nbfu
zlv=OCf|IIwX*Yldp+ijf9}he$FEg8m<vLzrL3#Q!ws9W(#(OYwG|uyA$4Btw>A*0?
z>)ix&bl6Vyh^eW=L4c4;yhV%>Gd4;(5G0C8{^PH2Lz~C%v$9aUj-2laE|WsyGkv|G
z^}a~(@<HqPlgl6Ub<FIeS0f`FhkZsRbWBXxz*)9_{`{z_DC(b{4xq%;l+AVjJAs#%
z*TKQTyg!*9g1iU}e7w>VA2YeNyW0k2`#f^X^%o1u;e1Ig{Lz5N0C?+O@*6NW)1)J4
zw)Xd>vlNo7=bO-wOO+0;uC9wSPILZ1#lTb#Afyg48!HqvFZKF!T4n$3VzTq%IfybK
z2+CiZpEq!85MKSUtoJZi7+YGfKT!|^^a>8$8q$V_2Jrfwzh%a5{p{vOxq>iz%{%?#
z`WZi#9bfkCo}fhgmuF&NXBirE>Xt9EX;nBn=hPCe1-ry?V;l_<0BxaU8R~f&dm9K!
zPoxrYCbDWcd|&Tf4+k+iP)aFVTifzgdvI63LPS99VBRmmi+I1-Y>eyR=qMe`Z*mc5
z9xgECp8`|ZJhL}$*d6{fX32b&loSs7rCdB878upd;MekiOj8GnA4;Qw??owhsJ{gY
z9VhC>KkN0!1IQkf*|e%E^2hCAcVNETUs8w0Uw^vTMy4+TDonry+LsVhpu2U89OaGn
zC5z%YIXQ7Ws=!BSTBpEaF_1$2#+RViEkSnVmdj5@)D;>}HmwepX#Z$gyag)m2f`re
zr$iSoq9eHY`1!*R99Bh;jWgk?I_Ayc@iBvl$h6@b*dm&4`1?Y8uy)=5ob02n2KJrb
z^P%^KKyy&Kz)M>3m&zGZ3o)8{HV5@R2{*fw#|BnM-dA>`GfQN3=^M1DmC!4(j$5xs
zY}o$zsD4gL@<&X<48|nFrQK+^sU5ocXzgaP<&2PAlF%iP3Q_V)31|^=;A7uzEBye!
z`U)az%&Iv|0LY5PEjvO+t+-$qR}X%0({&oDwpqfaXJ9A+<|uN!Q9533Mh1>(0EmIY
z(-A>y7f?{~zAD(pfz1ZRb4O2aP(W6u*k#8AN;w@j_XSv&zM-Lbe0+R7meaRjhr;lq
zAr)40FVB%Mfv|H43d7xp53hjifkW)mY;gO@6Gqg^A@-RtZ(ke9i%dz00QJa?vJx^w
zm^3srps^z$W`nA*P~4mQ;>8O(F0R5!7X+1BFflR7{MM&mnAf%VmE8384yc!Heiy`o
zY?j*5kkemT;%Oeodj~DFr%1hC1bF&_zx6CNr*>4RpK2MF8wz`K%3i(4<|&ZVd#_SZ
z>EK<7oMmp0b{>iM8z%y=GXI%)V6(*GkCy`{8cm7UJ1%1?%WAqx`J2mFE=XK|vknP5
zPU<ob9^3;he|zu&cN!Sw&MWaxiO9*F`%i+hPtPJbH-`R8vF(`q9r*6fN8hqaJdPbf
z4}QGbmxNOD5xVQwNx(Dz3L;!)|F@y63$D9s{$L!V#MS%v@87<C8$n69%qi}J4Z6pB
zo11?e?d<M7d>G%t|6{D|`Ox=?M-SC6OLr(mB~~W;*gF;;^#1{~`H6m3wC{+izd}~t
zo?Er9ZgOn&z#5hJ7+Rg!5DOYTE}8!oq~@*?w!g;6Ci{8ud;(?ek)wO-o!9j}ma889
zAmrSpfFlY+0uweiw$gUk_ky!rg{a$JE2!H_Dk|ujnq#$le-=Zzd7gYC3QVzC8)n6)
zx>Y>*0X1ehYdbU^zXr4`?@2fWqPW9zCIJC5sPCWG*}qeW{yW{Sa^D%O_lf;lhX>23
zY|F|@0I0nf*#}s45Fr6z@nL`Q%gPEIVoM;NqslhV^FhWh%ga|;S<jU|?U#D?EW3VY
z%F3l~7e6h7e_d7mAr-Y>Mq;IF0Tn@={c&mjhzECNUeV46A+-}^9tR1&9)8h4H7?it
z85)h6w`9V^4=#A*`!X`kaDCz{SDx!vm{0JTPgfCxfkA%b8Ig{zZi(l~k!)o#Mw6oW
z$qT#HzJ-Fy+1!ege;dnKu2o$hEwBL<OSZe=WbaWJId8hcBy;-Y5(=ZeyAs;w>ol9=
z+_nnwh?2)0gmMWt&aL*R1cFlmDmEG-?DSp2#N_=+?3!UqKr?JA2<gN@(&2>c2NaLA
z)KmoYF5e(Jc6K~NL&Nb8#&|EO1byLROOQR<+S`-T(i#`FlBv^ti=>XNZ~Dz4sN;JZ
zfQY8>1vOISX<uTsS<P6U85MO)z3r%!!`uUlz6ZKm)VZEoB)NJut_0K)fkedS7n{OD
zY=XPrwtQ;k+@u))UuQf}njeInP>N{x8_vCTs4y6iIy*S|;iaFmUj;V|GT5iSzIJdp
z`~VPqoSLG9ct?&s)y?YfU`9BP9f9Yvr2prL3`z+hadWJ`XE5lwqg#{!mFUx@dY|xl
z*n%;4W=P$yw47n&;E;27cbCW->Vy<SW`4e0S9iBDEY`)%O-=|o#6prLI6VB4zP^5E
zU*BcoNGLjJbmFH6k24(wEG8MD@(gA^ARAcU<?}eQXXWI)6xv3AF91Ih0&AV#Xc(>i
z{fh7-9BOBYFev{<R?K{SDvL`?)D^7sd{(m}Hg<MV5n@O8B_vk*Q@Ft)EUr%yUOoB!
z8}pLnxGqZTqcX9v$A4)%JF!x3Hiqd9D*9wYkzP?Om~)d0`>&IdIFWa$sq@LJnM`m<
zF@oc#(Q-vmAlR%&&xLK0MK~i|<+4Sz;*WaGmczBYqCRlIDx^B*E*AOxABd7^gExPD
zzIUNB|6wWEn^`JT`!(MsBodR7@^n%nBd@|e)j*&I@@g^3qHbNNV9@G&CO9zJ^*wgg
zGp=}t!6_VMnfq_G$;N{jwm1n1IPqIeN+AsctIxPKh*-TsQ%#K#>{8o>kN&dV7W{7$
zMO;)+8^KNZraI`8^pN~f(bLn*+xtFN|FT)RZ!-70TTWhoZ3_LKV~PI#w^woovuPCa
z<%u6f+06_Vp~2jU|K9SW5_7Lo@hR{JVfpZT?T=QYl3`c<GsY<qK74Yyq+D4^iEhq)
zCtL)c^k-$`Nr9et=-OBjrx9hwF{hE4-`MRTAQ9P?XNJ6~%7+ghc$~iLKtinJG?zU6
z&5JRFxZJ+i^o2N3kW+LFjL78VLI-^M-Yp8c^fxa>|Dz=A-}Du+askAMun^qOLO3_|
z!P#sFz1_@->nTb(a$tjlQ{VG2bCh>YBC_h^y_mac4+&BqS;?kJ=X_;9u?kj`Gyc33
zP<FSo*TFbl+G{m$%V|)^Vdf(7dbQoE_4jE(@aP#bqCc1>r4_PfenhKFcOW!vfMRrv
z94z!L|K*!3nQtb{D-_H6l*wLd{iYE#UjOMX{l$uMbgfmdVCM$ENmY&K!&xV7ULChb
zt(`;I&WNn~<o(w7s>SCJpTUKf9dX*<IJkrED`2!2I)SO}f>@OG-3gBf(isuD=K(ec
zC-seIuR=!!vt4-K_7dV0p9zo-CI?#!e~_&U1$MvL=-GrWokJF5=9j#5_fLoNh$H4c
z3u!ziJ&rf8T-)}NG%U=`E!AdCDmdB}_?b@gr*~>MUJ)-s{M0#j^a{ua!e^5yaMH<m
zA)35|@Vpl$kGM;j>pf5fCvt6a$(y`-<YFxN4WiJ69uRm|DtSvHk1-?wi<<;xpi*#X
zK{E`VnVAQHD&&QvcSm1*@Gi(1xw=M~Ws4a^(EV-^&FF2$reta<S{4b3e<PGQ<$`T-
z8qif1dr@jJ^&py7zOPT`RW|u`Ir(1rMrZjrS7n?RNEK$2%4Yj{A?mF)|2v<;6=Ey~
z+>ABKlwEIXfuLnNh*C3^Lt(RuPmwy}8Q8ORyn>T9aWp>R!xy4m$zX!|tM{v`zZU8}
zBz_Wd{de?7cf|W6CE^*v-_@9*YWzqpx3zsEvX3A(0Y>5CS>B3s&_1e4D3)HvyA#pV
z>z)c+?*VC-ps5G41G(P2N?R9wPFL1!GmD@0-j6wFaLHR8q>LPS%3oy7_pgz&Hl6?a
zinLyn4{JQj+e1UsJ(BP4B~vFgcvdY`U?%<YQ>k40ff%DKWCjaYmoj$`R9``DlH9NX
zDHn3zeKZLcpK*KZ0D>6Hu~Wvo57DTq1?!2A<EtM1!c{rXaEa&Q?J!kV#z~eAWP`*Y
zC6M44;u?bi;%xLav~axKQBk@0hT~znLp1i|(uu8)c-(5*CVvfb2ukWi$uTP=-nO;n
zdoLI7i-v(cT`mT|0P==Dfq^*K_~ZzHbfl@9yAi*1!hEg}PFa+D3K_-B6MeVMn_pH}
zH4i8Lk*-Lh!a))0^vl<T)IEzZ1JQ1=`}=ShtfK@vWBKd^#@n|@3)y_Cw6-%dJW$FF
z2nr2g1ZRTr=G_}WNF)(5kL!(#<*uCH5<{NhPHYiP_E=@viHb2K+vfP+CC_h8j+&Gj
z0?mfx3m=MIR#jIo)c$B_2_k0Lf+(QrYhW|~Os0PqNc?Xn(@%a5--k3PA*~oZy!#lV
z%1G@vRNhZ%acaTg{IU<rlq*mvpn{#U8>On59%agxPbVEAOV!VkAwp8F`8qxPHHigj
zFu&|<!Rqs;6xUL@eqM}x3<;ra@ZhC`hapdm0|zz8r-gd;Z2tcK>Xxx7Dct;T3z+0J
zRG@%r<n0zNYvifJxvaJ6c{x<_{Q2{y(<Xt0)UD5MjIyXg))FC#>QsAv2$c8QnQ;qt
zNGDXPcU4sfg^pAOdEXCmyB_N3a6owcA}uX97-hDQ#61=&o#5!}>-zxS(s2dkdZRS;
zTp*5skL{QLsIpMS4Zh-Hk^=Li3iA@~ot>R1ptZG%Qk<7AT?+1e@*0FMwm*Loy~<Jh
z-Ks`LCnNlW0-L3oZZQ*PB;~#6!(?HVq$3`Q<-&97p`I4PX41Jm<!PoZlLMxs2}&d1
zR_K(uF}!i#jC+$*Ubwj1^K|grSQc}-e)s<djUTsaA-Hg%15OI|@`d&FP{4kqi1n|p
z%AgqFPzyW0fINpU7T$)aXXs_lyAd>^^FMw>C?p9jz-S|EmKGq#wZbC7gSgc(X9HO9
zcH<`Cx}pqmk?mFzK%8g@ill=YvFGm8r<qw-M+GRmtp5kFOb{5He+@_vR9HOvec106
zFk)K2TC?`DC^r!)2J{HQaSpvY@&fJh4=MK$RKEo@1Q1a`1B^9rg!}h#2M2R$^S%B*
zMvf8Kfy!Byla@*gNncr3DpTf?_Tb7W>$|thKET+=oAa|4LKDtAj!T2jGVcG<6Fgg1
z`?Ag(WP?)RDD>X3a5F-?FDDlU8?hUf(>sv=J{UAZeBb3ur1TSjfJUVg05YVtD=j%;
zS4RTvmjPn<4q%#u1Y~g9hK5uvr>m|4RV4$2_OQx24U$ZPUZ-`CR=D^2_3JM%u8Ygd
z*I;>~j9{;mb^U8BEC96>Qp7kB$m!pOcnTv}f`9>^fJ{j^MOs}OIP~mB7r4+5mwy)|
zkArF1jf&@j5)cht3U}d?UtkJIh$F#TMPavov17O!059)AbNS$YXdAdrMXj$cC@JCV
z=VuJig`S@8aXbDwLPE!Jk~J`o*)<DEBXix1BqhKSZyg&O6Z-+b1vM}h#0kv=5Fa%*
zpQ`U4qLNAJms#6c?nwr=AljjH&o)_ht4HIrJ+Hk~dh><I;fZ{<D}$igNt#?*65{3k
zky&=ZNom})e9^W{nNXT?xky>+%HeMsn*kvK<p;d~&8*6XsPF$lZ$QXdZ-Bvn&>Mi^
z9duhFHTo`44m$e#3JTZ=DjN=Kl3du413|Tr1cimQf&xlinAf>I!v&;-De4@saV!MI
zYv5<V{!SLPUVl7)?^QNR0(j@Kn7k1<_Y_Di1fkhDyZ=G;Sp@{f428?v1|X@L{V+r(
zMvJ%(&!<F<XL-d;Kij|BW$K{eEs05%?6ECnz&RdB`l>aBwh57TkS|lB?XmiMbY@tS
z%GzLFOcxscFS)pz;g|ml!I$1d!P3EJt>P!YNN79{3>g_2=Rp!j?Ot|^Ip|_>2kuWe
zHuB}bvhrX33aLh)a~^q#K-?b((P{Lg24d6<afgy;1N10~MoCssq~d>WShy)9uz%*p
z-DF2)oQ$Yv$(r$z2Q|M*c1TEKHlY%RZW#u3VQqExo>M-4m(>>%i5~WXP7l*7TtSjX
zW%+@+@_}b0ReGN(MM8G`r+;)j9EFTY(F!}_1KDl^K2`!-`dwBQ14!P;{Oan{Ijeu<
z#r|@06K-5sXc3N^lULc<yY<YM{}X0jA-;1C5t`u^$n5G}eMVjWP}A~Ke|&tr^HwuX
z2?&|8>sCo*(y;$h-oBmEO^F8`9QG6gAKzdDtTyBEDjNo1UWVn`#FsB)L(l^V#YJcq
z*cSm={9o-5Cy4?2{wO@IT)GX_Jx43B2oWjpW*&Qy8>`jyngMknKoY=IJ}Bg?EzzdK
zZQ9H&eT2?8lm1iPu82jna&qvIj*w|me0I(UEe=$~4M89S0}7xpN@sxfAsQeppw8kT
z8`IS!aQk~7ZGmzEG?vuSp<+@@Hs=<T4yW+<^+ks$(>Z$I{Cp1RRWO8th$_pd*eKMH
zCLq5++hg>wRH>yc(7pAFDlZ^d2+jqXR%lVs*%U!giUu<?4(yxp(x(?bwzPnVj)Q6r
z0+F+Mf6glcN*6w24LUkXgaqN*w(7fHhm%_$O2&km2N^0!h+A!{s;QAS{5f@_68EI~
z^Ltf%8)Rfd$jGp;vzM;cpYYGajiTBygoP=AH4%Wcd>#%cIOMVhw^vqH7U3r+`OHlB
zasjY?uMMPhzk;Aj7=Kp;ul}bN?bWpRMNEDY^0N%d+N+F%vKBc151KPPgK41I1JoHf
z0f^%TtdaqabxPBEz!3o=W-J&t<FkF6JC&&R3s+cd#&E#=98wgY*ne1Kp95LhP-wGr
zc6IFnTKulAZhApTy2I&d-#_{F+=C*$dPXiTg<0pN@Y)aPuR#0>zTeiQP|5A}H7)ST
zX#PX!LsQKWh2}-JDKt7jFu9!(Awkn_2Fx7-f<Q@bq6wsU>7JX%V`i4q+r@EEUzZ#H
zjRJ7>2F2)7=|--Y-j|wekYmhorxS_>fZ8$7DWbD|zz&iCZ7mj?fI=;=c>qo+P;%Hs
zqs}8B8KQ(p6dFL98vmSFfv$d+)!%8(gA9VD*|uBsr4wP03`@TkNceTSy40gOXdc#;
zgpABNh^aaCuL_$DG9jq;4<8&F?^3%N(fEg2T0tqEN9O=>0FcQZsBxp#_xNJY0%=BI
z@kEhgz|amZI2E3;S^3f4RsA_EA_4=MSU>mE7>Yh>KZ$?k1YWV2p8H-IR1glGb*N1`
z^j^N@kyX7vNVX$m(#j0BMf4TlVwM4ZAYd!MZ1YvTic8e|qC8_nq2Ri5w{66o^otT(
zW7%q7a@7uH(T+Lz-IMvWlZI~GP$r3j)+9igMqo;D7<8WHIBp6myBQaMSWrbIg$%aV
z2G$B22QS_%D`!w=@>WMQuKl(A@tW@wi(t>oGy9JYxLrF7qi7aNPX<J;eP}NUHs$11
zwvTW0vnq67AGx$EtfdI?!NH-S_1){)-xg4c-S9gJN@F&*^H@<MSbvy}U$6}ekqp!`
zCbSCH;-5(HsGu=mkz+TVyZz6ELd=irmWC3;VQRk}b+d(X9ioLrkLMQE3#AoH(wIqI
zLsGL8(y|b0G<%%+*~^ky$(DBMk341-<Ty#rn2gC)Kw)IE+Z5iITZfvaMi-@7@Vpt2
zmmsxMvy<-kW?3Y8Mm;qfTCK6ARpnABp|)Qs8X6p&9TH-niOoZ?X>hJDD=SO=R?aly
z#k`Q3&SK6}5-4fKDnX|8nZValD76-ui6NYk{7i6rm9Oav`t3B#CKs$kviW?3i6v3<
z{A$3O;wf>{4ncep?pgRnz9~#}(IbuY5gI-zox4T$k=nZ4uRjyD`&GHQzqXfB9I75%
z4GD7YeB>X#l4-9t9Nm1kPJx0g$5^Mwgo4sx_;6xOs=(@|iNYIIQ=|9KP2R_6+!cHs
zd!(($#~h`yjh*8yi`%uFxbyq;cE2~eudnpBOQYWEuI=2Y=cviKV?ndc@{w{V%2p$<
z@%HVDsqFKGxoO6WMV^GYd<ss>F?$jwh)lbcpKuXgr)4=OM}oJ1)xU@)SnDbm?FIgd
zt`KG;|Ejr%Zv#k`=58C5B&(&xbNbcxWQsJsV!oTp%Q&_9`-u;C$yTWD{q~qIwG}q+
z%DC|ZnVH1!lVdJbs4Tyi$ybrhd8_@)^?9KG$ZfQMKD?Hm3w<wTa@GyQY@Sb7@yaLM
zuyJI`y$Gqx7XXQ>qs#k;bBqLM<Hb7sW3jX;iYc2BY>b;f=!ovK{t%>=$&E2lip#z%
zufltyJ*2x02gi=svxNNh=G_mx=A^gKe%qEamWu%Kn%>(SdVWrA`NKrlse*KrR%Wz{
zKtVR<6_a^gV*c7kF29o+R`N?9!`=O?iLRq5-C?s%A#Nq@lTqdPR!*6q#29=s<huRI
zCJSx!V=Jlf?k15Iql|^`rS7(wqWdbuudx*7+qv=X3F@d9x$w1b0Nu`mrJtAXoXPY4
z%YK8|#k^>hwf9TTr|NMmJPhoitL%2!Nh-4HnK`O$wsj1CFI(8rd&BM!$r(1TU)pH@
z_$PFdZk6Ch^XCJR14^?6DPjf67Uj@|?D4}0pK`|q+<*+n3onK2Y-?#mU2o~}W)6qH
z`#ZK>+2ty$&NSUVTuo6n^*tA#cD##LSzfrW$63erc^G$*oL@(%_BQ4GA8&4-jLR*=
z!c>tuFS)1;`euU0V`^fa{k>7*<La{ViH8JL<oCv~3{7IsMkcT1v7B6;hy%VJ&u2`V
zCk4x{Ntwj_t^RMvbHkK#)>>_Mb)#VbbID5Y&~G|6@C9U82J9tVuZ-OPXBMD|Ez|N6
z)}m4CD?<ZT|N0z3GJy$i-#n`C=Wi5!+=|Y1EMwMS&5Tx+%qJqFr9IU&c#XTGySBA4
zy|-d2;33QEFto*^;ieP!5HBCA<Ap*au`qRbT9i+r%E5V>P~5}z`MZ&wNnuPSvg$$b
zf2^5_E5YH5t0v3$Qs3e#a^eewCQ?VK2t+|e=LO-}q$h4+L&=i7cBT*7fkO&_DrbPZ
zjS6}T-ckSDraAiCdYc4?s9frMtKS~Bkl|N+OojtATug-|wm0i8BjGBQB-9G|(JEc6
zM*R291lWbWk2yZxOK4(q$b^IA1GI8H4YZljt}vG|GBT>(E1%lzNfvzzsad-YYA5L9
zZUejU+_`h8UO)l)#7pJY-h!3Iu`*$J0!6L<@uxP1?+N)6=p-l(R(<AdrDGDca!l{L
z8O5l`&RFxF<CA!C%b?Qc+Tu*|N;J&Rnn^6w^&lnai)62W#6ki@-yh3WuMpcp&K-mb
zoX||?#()`1W=_s<aK&Pr6MIdT093=V_a?6gIyYXWr0A!Or)Ok@?$!}f+z5icNIutJ
z&pL#N7a){BT=0ktvam)SvE>D2N4gIZ#~2DD1kY1py_qYHVpAu0rij|wluS?{Bs#kD
z=-pX9s>BMt;QEZIk;C_}Km$eq7Z*1bya4dEUIBGPAin=>ARP<B9$*mO3RsYmkRYO@
ze3T#7)O1_y@Cymz_+wTcg2vhUjbfgjo@b6VngN*oH!LQjQ&Z_EZaixOuIT+Stru7n
zU@RPn3Um<7<>%+~b(>FBaDvBb1bJl+=s58n({l@lu6b$qSngQx3cMjwEcj-u;E^<t
zC(s>$g~qNXyAi(absVwC94UHt3r3kWbJ)Us+;uy6mM%rI<AJ5UuY{m5O=hAoG)x47
zuEeoi0y!BpRD(VExK98~48D^giRUv8fd>1nCJYo8E}7bVoshuhH0zQD%?=MV^0lsl
zhw%owzKMxt?%#(%I4z`)eG`S96hJ3mhLpoAh=B{b{>p}@R6{k%0-lZ5E;p3{BMT)H
zKuZxDs2lY3wp;Ue(4K6~H>3OyKrF8y{POU_6PbAU`r$lHMU=y`8xj!_3pW0nD#(}9
zd81l;0bO$d(tQnTA=shb8#A?<ASI}%w03tt7%kL=7Gdc7A1r&W8ZYYR7(dmOt1n~o
zrUUH5v!_m+&X2As_&e8ZWaW2!ML66abBGuS*hk=9$4i3URrwkOgQe9~=~ymZRP+NN
z<@lx}#Jt;~5l2Q*adkDttG%TK^|lLuQP7xe4A2J2*QtJe#}9kq+qceyn`YoyKiwEF
z3BrYGhnC?FrXy?;FJM?^J@$2Bq~mVcq-TUZfbHu8S&q%AO6FU);y~l#>*kPwE^iPL
zxE-#X55x$?Z6`M!%?}PL1_Fja_D2CG8=P*eR6w7o>%unRtBlF=gd-{CtX|}*+57&w
z9$*!2J!zVG;%2x)3FULR;2nG(renBdy2il_%6f?w2f*9_Xbk@h{1_lDfsW4kxk+fy
z>U<m_+79+jiFQH0UVQ?}b%ptqgVt=I8{(YWWvP%&L8(lS@d0QGKzD!`w56rOqnBCE
zB!E#(7Mf)_Q}fcx&BX;QetnbpF*bhwH(=w%gU06%7fAsP2-ON6H9V{aZslEIRiT@6
zu<jHRZz-=-{2W$fb=VmSh7M#|bpm3Nq$Y_Mv65QW->JNgoQtb%uD@qdmj?g@4iD-D
z5{TR0#zJB3cccC9GqAz@VJm!wXG9VN{`^>%3cNtu2eWns3|k;<FJ)ds)A)nU$#Ox*
zjW~u*xd#szn3)6NMGK$H%`}1Z$hx`;!Pa;T1@zb2NVl@(z`3_y7VXN6V;(-_y4K&>
z*$I*OKxm4&JmvYVCc3;J|43KtFiK@@B~uhtt=V*kDXOmv`KUMDnE&R#u<~5qAf|?2
zBQFLTz%jgGtdb!x!wbD(@EQSGkm*3nMmK;LGk`)Se6bs-{t`?8G}>R`H;-dDbO#CT
zmfIf3gIF$yp7|-ryub?RE7Yw;<!L}#Z=Rb=LG^A`>Yt2c8poUimwY7-Id1@|0QZB1
zz)UU-;OtQe39^twg7;rQyMiyQmjN(4p#-&fo$k=WcEKa<W2=K02|T^_N=4qtkDvc6
z9CVIJ)0EWQ;!+(COnY3vec5o1u9;A?H_C!=)dNr?uhG%nhF6`Swj{*vP_IF$ar(gp
zFBm}85L812IMgx*2C1;FL9}iSCc%0I)FMZ#8lLA8u*>Je*^wxY1_8Qj+}w)!8hOxC
zCOJJblL;$)u+GIUUfio8=(m$m7Px%Ug3wvTXZZ02UpFc76=BDGXBU@F99nlsMZ-b$
z=J<PUzp}!>@&gj#OD8Z#(m<6_?+bbPSPxtR8wZCNC`6&qd?a%6YY3!mrIm^gYnm#F
z%Qgih!foc!-s70xC@*mjWh@!D0Q|_ZeUzXwGFC30oeHZ^mq|$P2zh|DSN-wvj$1ql
z3hlk^g$rJoaTwF>O}Oz~C2a|`Opp@U_vF}6uQ-8pmqT6YF0A^ipqV_z2PMaFBv<{K
zf?jk~R0}jY=4ckt5K!{l=aUh89(`kmcpPMd<o%P)I1A)h+`Traou+;A%$7xa-^9mv
zg0T8*H2(_JlI2Oq@+0*deekLiYp5?@V95w@Tcl*)w9RTu!rA=XOfH1pe47rP+}xX!
z3turT^5>{-&Q$zaX(*h_T-9GNHpuDqQx3f=S6JEtC$4>gjJYJdzT*Rka>?#LW%RsG
z9H6Rc8n4#O=q9%+$dir@i};#v(FNdyf5v!*rG@#Epi1fBko&42*K~9OCVOVc->s?}
zi@FIJ1LDuLaa3d7zh^qHvN}vbRY&Eq7ABsij9~6zR~b0j1;30PYuoy~?LLWEUM|*i
z7n!hWv}igB@xyAho)5svQ@fdZh6BwmQ*%3Eq@X*5Z*BQn?_@^ZQ;}6Zph$)deoHuP
zDj+tq$pqi7Rf?0N48vSy_SpQMn02u%hFWgI03$%K;hVv-udH7fW4~^b3dHj0Q9gr_
zeIMw0sIb%1$2xEDidb<-pgA@b<S)rBOx;a>IZL<D{>q%}b@<gQS0}XYHyA864bDns
z$!X-`%A+8Qx?JRbBgI0Cen0W?wt-#qgdu!OFJ0jlUOl|G<x@9Tz^YFc3q$-RztC})
zDXm+fN$=aO#Xr;D6D8g%yRBCD?#it&>v8he%ZrU|;Vn+p*5;-`C9_RzY|Hiut!$am
zY?b1SUDVavb%6`}O<%AUj(+E<$i_TTt`bCVZD;({O)vMJC%)X~(5}R{dCO8K?y%wO
zns@<O1eFtoL1uj0XSo+9TF;p7l3NP|B($IJC?KNde(LjtYj<96W1ubOi+>u`=)(wg
zhm2AZcKEVb<@L<!-j7+gMIV#Hpy(X-5oQjnTg=uSzKV_2ETy<<dP|s8{Twu&^#hFR
za&IHNE$4fqKCVX!O(TS{wA#^B!~WCO^*^t*u`F+p2=`V+f1y~T#Jv$P7c}o+GbZw4
zxQiw?F)l7UxTHo|1NsCdNOjZBiew?1qu+}Od|GsAi@Sl6^*zLACsdb7X#v#N=deGP
zHk8z^5l1d*POUCpFD(IyiKAp&fET|4m;UZvIpgaezivMD(IpettP<%g56zISWDa1W
z*An40-e1(S$hK_>Ab=w~=h;`;m`7lrJ$$Hny8k&D#g~jjUdFC^k6~$4T_(ETm?HRN
zBMvx?#{RJDVR)N=&iHc*GE1T9Pj(U7>^ED(-;*ck$=SX=f8(aVjHT-Q%g|bFpQYP;
z)>`w$lDEuDU;VB+9^EYPB9VX>Hd#ISy2f8>H75pVYdMMms2zsMkt&XftenHgNY>B(
z;iWE{BfFz#wZp)3OGwXj?yH^tZ$8_(w*E_9<hj#?c#S2vdfyy3eboCh&Q?FWNDN&#
zM|J+|k5;R0oEygcLc&a$(YY@dUE{C!y<D(0CQwgKU@4TgeXce3+JPM1%H0}vhaM~=
zm9DEocWC%ND&T)_|9po8_1v*?1iYh?3oAi*{7(bZEgzpPH`^eYSIW4Q1dJ<`zT65D
z=}_o^oqS$sg>#HNo+X*frH<hv?)+gDkI7dzEEJe@xIT#5S(bLZ>zQey5$d<?N<O<S
zFs#^}ZLQp+TlQaxP^V{m*p)uQ<p2PVVUz-e<3iB54c**Q;Dse#9D;NV${!;abH4?+
zr_tybGH&tEn+}x%qHj?UP#$XZ@^anV_%^-@mTT76^=1lw^ZU?`3Yf92%N0_q@b)7X
z-j|T%h1a^c={gLcZrOn{G&t7M$dK7OD>N;XsTg$_PXUg52yf&nZK<+^o<&Ap-V&YT
z$xTO-{^VZx*6O8~!VuRrf};$=hN$>QR;!@fp82f%j{NC%gqKdqCO`*xSxPWudx9WO
z3&Hz43JQevuDhsy<d-LK0!V|q4M9Hg$EfI4T3Q;s_656k=KHu6G{k~390jfhyBNLD
z=Le{Q6aoW2u>G30{*D-Bh2AgSb8wSgoV>isU=Ln9L*mfeOGF&0?{%UMJ+}|0xfvMl
zZ8*ABcX6yiV>UQxg<4jn6JOvc&7^r+uDuMuT;?i;S0jP7s$UofA_3;B*49>|b%<%R
zK;u12MW1D5HylS_Knm83RvoPvL>+n%FavH%8_#3tJDjb24-6Ykb2p$Gj5ltm!9f&S
z@aJnr1m-J%IY0wI6s_Bzb!*#0y;!ErsN~bn<!<Wr1OY29nCe>kijX6)x?yOym%67?
z_MnapTdXLqw=oFmElR}U^_c!5Xw;vadLk&y1q*Q`cEt1=6H@>HebbTLHaMUml7&ro
z^{NkK8i`0rB>>MqCbxvXba-h`TNgxZzd#2#ngL+DGSiU|IG6yJcSN(QQq{Wy3C)5t
z6B7$-AoUIg&?szDLW{laZ9@<R|3`6e0*z((evQ6{BvVu*Q&MCeDnn>cs0hg{WC%ql
zQ!156W=)196q)B_OhSgD(qIgkQZiE+ikyAx_doydTj!kht#j5{=e+ATRJ`x|Joj@C
z*R}V)_JulGrR#Hcwusy8kkst-7+yz1$3&`>DdjVt9AT88*#FeKbPLo+I~-eI=aT@4
znwom3J%2OA(aN)3ZtbUwGM&Y;FALVL%0uwJu&_WX+u`1J&TK#NPkId5rrq27K>+~=
z^1YDY90nK*V=|R=kKuO@X%OKK#+~~tQZSB3+$?+EI(tW8c=Q+^KKoiJn)|#rkZ2y$
zQv-Jj>B22YojZ!0Vt1VSpb8ZPRBo%4Cw;_^SD1}@K7Evu(m*~5oat?LF~ft1T?Ju1
zr>ctFlW_OYPxIre?;ztm4~sWKwIa3@g)TMn{Ex4%Aofc}!g@O<Mg-;J(~yp7oH>&h
z7znlY5y}Q-uRPSxHiFgIf>;hJjiYuk0!A}u>gwwok&SAaRWz?vLfI|xRsw@}2zm^D
zxb6|w9=YG4Lu@EXHhJoq9T<qq)Ij`V3z4&}vsfmEO+;V~7ndk}6?~CO{%Y34--g>~
zK3|+5Lze!m7rVsSh~r0fvI1Ws;1!gXewW{cnD2Yf^XKJr{UNm^s}P>zNq$du?y@&(
zS0v55y4qJYZ<BO4d)JtC*7Goi)_Eg>zq+QT8xYMA*(owc>^cy2hvLTX#K*sF+Orf2
zAqlSa=SbV?%$5d7oGHeou7ac(;^W6VvW~3)4Vr)su(9D8gTFk1FfEWCgiASMO86#7
zpY2yYup#>OT^Sn0tnfS0!B&LNvyC#j4R<UsImd^$`2_L{aN4Aq6bK3Q54D(8c<;n8
z5$i!8Oxd*?HoSt~xv|SI{x`eFXuHgswQD!XSkqDf;t0yf+(H^exxDzx$e}GKOeUpf
zKnjxh(erJ$pPcSMk#V&32ogrHt&%ek9*Y&+pZ?Gh6nS)5j`a?IQq9|AmFp!XnPQjn
z=36>s06djlYR)~LfV)(T0ub~D{KvIgYpXZ+WEXxUEI}ssE=7y`z_u^{o#(A$X0}BJ
z;tgVwg4uH?F7D0ZY|rsgWuzzlkk)<0-|RtdphDsna$us7gpyac{xVz|JQg||8$&Q|
z+ZxLa$%?hxy!%Wq1tx(TkyCv^U=QPr{Pw?qMEkIgMcj^^A2w<xf?77kbK^|wv=u$R
zH~K*?{w~X8J2pWzXJ<(WMT~fsK-Is4u6WzXJjxP?fYN$|M5pRuTn1mywrLOuDTC|j
z+``C0NYnGbN$)*>J5m#TQe9J1GwH#D%KUQsCcg2q5lJ90Z?In&KlPMAF8CFEPi<#s
zXMPXt9_LY^-vK(2B!<_Zq%UjEF^>gedv;;&EY$fV(enB;R!mBQK!Xm#cx4co1<1E+
zU_{;es#hE+<!HR}k-v0~$H~OjFiP{48+1$_!_Ckjr?<~&wk2md4W=K57)*i`A$)-z
zp%4GHLcY6z<K+a(mMAz~R_W;IpnzdfEPNNn4jKvKN0;0xA|-VL_HQs?Ol2?+8F@&e
z0s}qW1kJ@C9BZyV6krM-vHh#)ks)$X`6kY0gB4kZVlL%Vbd;VeOS^zMSr5H?$g}GL
z0bWq?LtBX%ct~5@b4wH?vGthw&<JnG(mpUf|8nyUV&FlFMgoyk$e?894L11>6a;`p
z{DzGH+v!J?foHM=JTr}<pol7b)dQmRe+yF0czD}hWX*tFum?OwWe@hRG$c3XW$q7A
z^#rbQ$qJhm1@-^eF=deazS~x8o_$$u08oS&^cJ=_gUBX46%-uYzh`NFHMs#~k)a#+
z#A9mY0fK@X0|iPbe6lZ!>C=p*CSc5PNJ|UqN@8zw56`Y|Vxp;_Y4@?LarngXD7p^?
zHziLaXi2xWUh}1D$ZIDTGTHh%O-=jyq==&#7t)7nv|%g~h5T6)hYrdYNX`v-N)uK#
z?h~KQA-_(B0U|MwgRR1C?5||QW4jf!b}IuvSbe>GSKvdUpq@XZ>24+}5}dOd78dcw
z*@nb?05w9INW_z|3lonKw)u$~ZMEZq*bGG03LO?MILvkng74ty=xA?{kr0@ipFU9v
z0~wydb><a2^7Y>9#3_1gQC2o%;Zf*S_*&Rzu@>b!r%=9uTB4Vj#}YWamiOA|`VH*t
zf|q{(6q)+winZ5>{Z#GIq`_|DFNZiD?tUT7StfcgHP|95s(}-uR{?uwu5sLW={LUf
z&>;xQ$`%@Tyor^6p7=L<H?a@sU``4AAmm9V)*FDKfp=+lZse63IUp3ATQH!De_hny
z5+oriD41L`036Y5G%g!6AiTr1=fa2t0AZ2*a?R~b8~0o;Z@=)gTk_BBL^SR#r+OkD
z`R%Rh*?J3&ZDNghiey<uhK7c^x;!;q%#qd3Y!St%-N6ZKG4<BiURWYX;yeS1YK!lu
z2lZc2z7g#cR2iz?8I$!QfaGNUH8ra9#BSiU@1q8iD<ii)k5ZWPuz3AW>R;kCyYJ78
zbso5I;djH$n>Pa!M?5^O5lPdjXGbd5|1hR<m%d)bSp8aKIf&ITCzcyBcCR_(FU^=}
zSsKWYSh-n3^1`zx1t!MK#xm{}tag{rET2BjzZ|;DWD&TY@#Gv9dPMT7W(jdomFpYU
zSFAbcTKr*?_Hy{GVc_;@Eq143{`w!e)mxtSy>T-MJ*Lp!exElQBb=;n@Nqe=meD!A
z?)kuZZ(4V%cw<hxC<UdIhBIeps_O6a29(Kd+O$d0<b((gk2^m6_Vo{)(-L5wYO0__
zpPV5^64YUiHH7mx_CInS8HWKZ?>OE5uEQ#g0c8^cf`YXjR$a}&ZDJD=He#8*Wl`&<
zfZHXK^fw)6yXZ|!Oy07n7`VYXP%x)$`NG)VbDv1-*5=9k_=Z(R{`I4sxUjE%eY(lH
zjz=0y;CNK%)FVVPMMTwcymibEk6Vh^FK6M-u54m8we<l@D};iids-6gzZJ=^cpFZ_
z;W5pPn~uC)=6t$q5(kpy@_2@Xs`VIOyb;(M0LDi{WKe&3@U=wk{GM=F$<mz*nSA%O
zPyKjQDt?;Y8DBvXE$4lNNMJf{b5J(tNgFNx1<U&;0X#g`64vki)N}^@#^Ai>WR{1F
z7w+ld%hNM<$m+VExQh>Q{kVq<zj=qV2tb5{I90WDjrgc7hoVwSYzs~uV(SA}*E62N
z^37OPC?iN#3t6hTJPrBS01n1)@O~sVlgdjAKOmn_D3U+j4hvXI$i{d_Mm?3FM-wwF
z!ayTML=gj@fyHVcwpIOOl1!|emz8fY^#*af_Q&2Y8sq+01bs;pWRz;yyK}fYNu4PI
z7icQW!?{G0Mei(!)>`}yezfO}=ju55o^Y4d`=6pd7WIF^)68D^@kX8?@HX?f&?Nh&
z_=Vpix$Yya%s$wTZo$|FwySlVsA$=D@}w}4k~kOB_{;xB;mlXa?Yhp^^8#MWN0^5h
z2IDa2LBq#^f$aT!ar}#kYrgD1w~59o=&A*MajlYU<Ni+1hZ)YDsQnXy=0Vg5yoHku
z*6?6X$kB}9Q-oC6X#!Aszp?M6UyJ(7#NA&X71)$TqV8&w0QRLH!A>ZwNP&2WQ!ig$
z1y~fKIKSGX3r{Vcc59oOav?eqn^K5<QwPQ$xSE7f46sk)5xp<p-1WN<6#A&4IiG6G
zi?44$%)#4;CHVk4DZq*TaD7o|J#gT_`jI%WEv$^|B~Jj{ZCj^zC`FsSF+ZG^#xKlD
zVV?wzVI?~aCvEzZj|O6&isCwpniBTtgmKB{q_cnzTt;^X#RUKa3T^Thtv+D#Z7xnI
zZxBfs0{Bh*{608lWzO{OeOypLg(@wAks~o-V`c5-v_K)a%IVXm^S6N>nMXcDX-DxX
zqN_w;@+fj59@(l4+q1BCK7zDB1>DJZ52!GRGz<Y(e$UNG+rQ<(VZ^(CJxrn+#0!vH
zz$Ph}iiR!^x-bgCH}~z|&pTya;r%K(b^&%+NM*Y+g|;C9e1KmjUP89xMn{h9#d*-s
zm0E5+kZk*!F6Khk=K4^pOc`b7=CTr#=c-bEMNZ#}#t;#snk^88j@X00V$u&PYKwRb
z3~gjfj&Sw;hw;g<vM4{3?h?l~SbUFI(S>fpNen&&MV4=o0^i+zNfFc14p}l2pYmOT
zuP3T8k{=Q*e%FN^F3%U`5Jo^66$EV#K4BvU?t5pk6oN=38UT-(V9%_AgO{F}c`!`=
zGqLAJoZx3tU?&3s7R=woD9Bsu0T=ANyr6*dCDo;;!h5E}p12W76~2am1-J1MrK9wW
zj5H4rdDLDgkUW09y2c9Sx0LdqA2bImEU>2{S;%THgQf2zVl>Nw4#XM#B-9I$swhcG
zSh<cRq<HTm&iK6jdQ9_lT~f}TQUmWk$*h|0l}(rvI`{eS6-oAv<DEr6KFt6oL;mmu
z1Xyp3eLRV|mGQW1<68_gcK*wZnK_<nkIV9T(=4>Me`jmcT-)v_i(?-FG|&E31OGqe
zE|rL|b==)|K$=ZVYrEPq5O$W7tZPbErDdz)+>iTUW8)A{^KyIAzpt4t#-8br^&I!R
zpZzJ1*R&<_v02%BEb`>9^fLN+&!N*(yYustQ)`h#FZ{~Ak_?WLh?>C+m38F{Cp$BZ
z1px=+76zW)-bZ8koblS*2`6owbH@xI0zdWXNxDrb9u-MO5RoD4c!7XWN1THcD4*@>
zMg8-1yUmS!*Fg<Td6Q=sWH(;=$wmQeh&0x1X>oSFk`A`d5@c@Y@wXURM-I%rN4THE
z3A^Kv3pM8-$4<<<G&4OdfDPpJw%nGbg{CEGBsJLSV0bH!S~Vz=%zl+5T=^RV|Mqpq
z)`QU<Ev>>%d<Ndd3G-)c{!0rWgVYe4%8~KAX8HNjUCO+LDt6|>LCMm$-lTd5jee_>
zF74V{Ub`dz{%>09k%)6woI2k+b{_YhT7lqLq$mfG276}U(Ts*uM6w|78yKW*DKNP$
zZ--b&>K?w+k_t*$$4syRBG4--W!FCa^ncE2khBIQtt0_v_<$tyGoJr&T-><Bk)uyN
zosial^<shZSQv;$aBC_Mn{NOpgu@;lS2vKve1tvmfl{>qb&CtFd07~YWbRQIdc~jr
zx&fJ%8X%#QSaj+2P$A}{`tk2v{hlb3ndB3&vMSwoXjBkqwN9nJrNim+C+jv<v&huF
z^Lf1X({@BtISdJt95U8F?2f6;v=xn&7hQse5*)){>ye5-<4PFphGWdh&CCy8AeYSu
zUfiTR9;j_8IJri8XHN9_eQVoCu(h5a2$QGG!H&?R(19Jv@*qs<n==eTz?@SIb1k%7
zT^|p8eTw53s=aNO7rd@BbAK&Sx$@tvnVKqbgoDMt9SSi(UWXt!1QW9X+v)f2r^N%2
ze6}K)hlyu*{g#~+NLatY>Py^X-W6JcN0_rHP$@T7#_@>&IWi(*UB%zuju_nQaDIgD
z@^t>d$B!RL8iJpK_=Lny1=wKDP*54i#LTuo9M@vg&s}<9F5te_ito%!zukyO!UL|4
zMVD+o%^-^aT6!d3$ID9rin`4ZgQ}{|p&GvfS8I?PupAZ^vVj3PP~W&3xDf}t)Ng~!
z8xZ~N`3u19kum@;q5n@47`B~WlMg7jV`E2zN%<rE503yX5+IWpFwlIj-)dD=V%O%1
zRkE|8)Vrgl#Q-OHNbLfQ@&hw7Gs&JSAV9p=d<NWLTE3jbkgUN5z-90l&B6apc#h;G
zR0(4G-3FTJ`fN+;&_(N{fx&%0>GIX;Lv~&8i->=tPZKNevfCXcXRhWtPMu2zkxrd(
z6AWIYz$ElGDJMaU3%4*0oO&l9%?($K{x1!{;KfzhWPqFBY!Owd#s{BvFCPuJ*cukc
z+w>+!;LvGZ^f7RS``H?oEfCL+7;9^3u_KES5O8_+D+*X~gt3LEXAz){{lEz<PCx5*
zjz*^32tNFqaB8`Rn4anvK(mBqd^qha#D2&+gzFanXGEf2`sG<S!lP>q-lsTokbnPB
zG^UJ%l^|*$+}U><F6+89x-UppEXgWboR;DK;)lR%aP+40ine<-hBYK*8p(Ygb#c7(
zz;0;5MR&E0^_$*lPfQWgD2z`Uz#oI(6<zxAZi``hhEev?Nnr@9W&%`8H_OM*N-yx;
zE$8oA=<bk7UsC*UYA*Ts^UH5p4w&zdtr^<>xb0A9(a~Yg#AU?cHfW;rmv?7|ZDM_B
zWL7d?44qDGA(;MU8jdMhG_J@AvAnANRznaRtWQ;{Pjh$%S{AJ0-Eq|bV;qsewH(BI
z5b)dc#dF$zbB3YE!d*Q706aj#ku2n`jytyLDx3efyR}-nci#Wm&v_%n@rb;Z^>*fd
zscRnH5{x#mJ}LUn(Mqb|eTR&}N+c+d0qj&_GN4+{S^A>jnVIDDNA4D(kXR!!W_FO%
zh9Ow{W`OD(=Zix&L#*rVSd^4fh6TjLLULz$2d_QjICs~K%VgVq-rGmp-Z&SpCyaS~
z{P^gR<}kh9QA$L{+t31<BS32p9rg`fW5tpu+Qa&6%j+Sd@wQX?<+P@KRy4ar7HFyM
zSJ+98+FE$JdXbwhd$p`W8<ZwDHSM*MlS+Bx`Z}giP+cBkT!n@X#@+Oix1a2$wEIk4
z4Ws5ZAIUp^`C`&8^d`ZZeV4NrcEYlBSBui9a9*$Xk12c`{@rj*{ysB@)<@a&yO@8j
z8=~{#-@<r$N1lw)LE}%ILoXti-z`dV!3-u{?njw2S+v{CnVu(Xw7Y$u_hUA{L(-0d
z_92mXYaebs!l>YH6>>GK-T3)~;zMUW?=Qdi*Yag2pHW^Ct@+0AqA)ejT_=0}m5_%4
zdv$E+X}D;1(*4!3Op-ZmHc9`~gT9EYqMYdE%Z(va<PVO|bn(=7J3hVrlCBrl-Ep@2
zuz+D;TikAUk!dqWrM*78%)E1cnQ<K3&3Ae_jw_A4KZAGqf&;g<YS75b@20x!*B4YG
z{UaSY!iK|;sYSefB8E2`RTd1nWy|SQ7_YP57RL)}6mOMZ&U+Jwnvxkk4XI7){ClLl
z+DFfM9)9cI;g<cJW`XuYs8zw$Fb>A49~<S6N2ijvIZKf#>CC8;9o<t>*8g{Wvz^YN
zPO05Xzd0uTLl|Ft-E;c#v#L#sM9i^vwW9Tq{pioycT5T{y^fc13`l}0&q%(wB>^XP
zub53q<87VJ`NhL^$y&&EyXymX?qw?O_>rr(wpLa!K~C*D{p^Fu3EzQILl>oEJ;P4Z
z_qo%_bu?cg2Y<#)qTInJGUbkyLX#ewSMN)`&gt0v?P$+BmW|G~*KRRZzY(>sH*JyR
z7U*IuA!9HuCs*;Y?Y_sqXLdB1B-#eqyYh7xx=!<~dzd1!5NE&EtI>LH?=^$H@hkW)
z6-Re`8#T_Xe(7<vsdk_I)p!oZOR6U+CoB){$b0Yb?FV573kLLYMG>M>%Qt3v*jJp*
zioW-&v4~F<!<H_lrsv^@*EI>nzRC@?dcAo~O{dn7*_Rgi)tvh!tBs=L9i8T`c%OU9
z6k~`F(f>s#%#2SL9G<xs8y|f1sK>+iO|5qH{H51;zK@qKh+6PT=hdij&O4WM=)ND=
zY#6Bd=H3&DX|s|2K1!3D^9(JMy8WCWQE*OPnY#=G(2@t1k-R*`u3zH3N0Brd<!_gM
z^mN0g*UZ~b$tza;1BYJGOIe;#xy!TO*+Qf#KYCZ&Z~7x^6|P#vUJb+E!?D}?a{4DO
zVY0LA49Hww*BNI%SDz3Tyt+cV#Bx%Mb$5vIrq!2}+rRXrwOd!*{Bv~Ln6B$al^T<^
z%rz=Oq5Pz^kDRZ@jZ^Om+r%RlM*Eog^m?yaPB}^X?N6Qc7sv=6eftP3ce;bUzVDN~
zDvL)i-STW>*Fq4HuHi?`DkGDyR;)VKXGL(WQSVWoiG|Bw7oazJF|2;({Wnu8?#W&2
zk6#)v4S4gTGuBu1h6(w=VWA}QiNk6&#%sNbvs{LljFTs4dp5{;^XFw{yx=NTxmU6!
zPnG{}HSLV6v#0!LC@fOshE6aH{JBxNp6+jbvX8`%KQTWH{>}d8H`)X~Z_#L`+YsdM
zubwlvXt!T_y}h7CNZ+OPd-`2eUF`JBm9JXmP_>~Da|Jht>(yU$a@IDBzMqAXGi>z8
zU6!?wogzanzFqk8xFJhmRdn?hL)AQPKPov!@#&wIEuEW${;1cuP4Q-*wcb>I?NQm5
zKcKD+4fue%VCG944ggw~!F*1vfY!mPUXnw)+B3voO&}|D#P)61OXEcOgV$ur#f~K1
zUnO4YqQ3Q@x&7-X=v0B#Wa4NOF_2I$v?yZ?t<2kKyk)Yl+Tv@;+WyI6V{Els*moJ<
zr0zRcIo)vMFd4s$3nhu?deQA@{B&_={m#vt$qg^8^IwC){JgYNDctea-Me%71vY6p
zGbY@!IU}y)S<hd+cD3VKId=7GjOWC?^Zmo|H=bUsD7o;ZZ&;T<hi|^5q%$-`%xLCy
zu$t;<oiW$lj|VQ4j9nTz_xw+{c&h#b1_&zUX#e(&Dn$I)U}FftA?ecsA1uP8ltKbO
zZ%=o$3yo<39&~IvUR}h#EOBeAbFuukI_0k;BO{?+5u$o_c0!&{7j1eC7yXy+qOTJ?
zD&B@Cefq8<>F<&?b<Tn3ukqF6ja^%t#;eaiWh|9j?>Z*=B{;Lx@|;Ym=lZPkrCLlW
zKf;1$>R4~xtGioIn57WSSGi*bEj`duj>^S4Z9L+1yIphkFaW^CXGzXlND7L7?+QDr
ztv7t8AH;UgO9f~|z<caex;E09XSE-~xsg%nW-W)Fic61Dm6U=r-h-|K_7}%{-Ssx8
z{Ppdpp)SxBgjo3dC~LFC5Q?_lJ?S;NA8TANdPtu7^5fH6))0_CVixTG7w(WB6*G~Y
z=ihI2ZzCu7f8Nk2OaR*qcDA*PE2^xwe&~EVS9~E>**@TrzHLZYbd+b{4oPwI$-IsU
z2-GsfacXYjxK2MBGGf~wM~GIDZ)M|K<aX_fg9Jbt&`Lw#w<vxA?}f8dZCx;|Ba!GC
zxL_O3&x5`p<z>L>K(QvE-ewZi2+G}7RwA`03=(tz!hkIzFaL%5w>9^869{Z*%Laj&
z0rd(){&6(ZPy%@P;gcs%CMV3As@7_9)7<iYOMmS*okGkTTKjqfKA=?ApUcmKP<+wx
zu<H!4udgV_UI~J?A1pngxse=vC^>7hObVjq((|bXv0P}a4ZeSCdik<9IohIs;>wZ|
z<^(A*fY}OaYqbECw8NDgqP_&N#qu_R3voN-a#R_Vt=5mzJn*@)b7$6wt5WeI)E75l
z0}VbH(p`EayUMWT3Llet_7g<MhHzWR0tmYY;k8lLec&?Np^AWMlL{sz<Nzs1;7C)S
z{3e1KXlsYtl){z<?nP^Pc+9f08k<a-!H}hA%r@*HrxAnKYhzBU0L#ssSM4*toRAMJ
z8atNjbOXFjYW#&@(9)5a;kXN^sV6i3h$iPWd92?0wxPiq;9(?Nh@MuQVk8j^n*9l;
zUjnKFsQ_fRh!Nx=_Voh3k8(iG$hvvVvq{(vxxyq3fYW{q<lJEN@w;+PT%;Wta@Q#g
zS1fQf(V!}aLRXY(tI`tlGB^AQq(97PzQW_g!1ePqSE0qd11>k0g0ycYFppBz2{fN`
zIMUXOpF;53-eF}{3<mV}-Mhx)i?g5<@J&SafzaO`l-&Z_AAz#HjRcO`|M(-KlP@pN
z_<p3RvC#&ZHzdRqD9DL9JmeHo7;RV=8oWB+=;-d-92OJ}nPsD=nS!`9@1I)QBCZni
z&c924Czht+7=E_R{G5#ImxIuRpal8rSaFZ%XaTUlnepxr0J+egkcj|oIFk0k_HX}B
zL@RagXQbj_t`G+l+ia@z=eY-u7f4PX9$lZ*Z~N>RRjTxY-l)5ruZ(4O^PQbnm!IVG
z`LD5{+S1H^b)f{Uuw<*@u;G#P7eTO7XS=oLBJqDiKPkGpy9|-%|1O+IEqacEwkk0{
z11TZMXJ6d;>dl*Ea?zsOQRJ9eXnkcP#?&<Hn+NI%ynnSA5%-qb8L{kfqs;w>&PsyU
ze>z?kVjq9LE`Rrq9TC{ereS5Y9W(Ukz_Ta?jZfG?8?UWe8hfn_-7FqVD&{BXkDI^=
zqcbI=%`}Q~Q`_c9Nrkh`O?q9qISI@CJY$`U_ZTY<{T~5o_P@^~V`9)?YBh)E)Wl-|
z`pDIwOwX+ufTbZuODumj`O!95>+Od&vvlA$49NE44ve2&C``H!HGVksncLxxCg<E`
zJe;3w9`blt|3eXWmOPIU!+KY!(;%8if>;B_UDx5SAC);C4O=Vf-tXVfM}CTSZZ=J~
za!bC!884dmgPvorw2#V}B<nqYkJXJe&j6Nq11Y@*Dmy8g)k7=m>jU7abZ5^(-|Fy1
zC^agvvwbs;-*aU*QgmB@p5P6o;Q+@a@BA7d#^mHAg<nze9yAQsnKlp}0Gs^^OR&bF
zJUc(=wgNpGYEEAZq{<5Yu)=@oC{L;8pGe$>!j@>IOY}0=x4OA)IKdQ8H_B;7kt}qQ
zp^uE+t`u1`HvExb=g0dOQvm<#H`Hj$#fD+E{fK_P;19-g8+Mcft6$+}NlU`J+iV#?
zhn``25eKRTmFH(8tcp9KOri$gOh=lo!Ot!X8{#&MBJjY0Im1!n4MosplpqtV7=~oj
z{`+GSE{^Xc!iqhYmBG3UfG>6H+8br~6*%ro5C??Gp9cv-H3zfJ`FemTffLh%A9D5s
zbl_=BZh4la7{UHc>iI%7#I`Wb>tVk_3Q5jGN39t;Vmct~bWB~Hj%=^5u%0oRNE8du
z(g9EQCFn&0RpppQ!<L_bWYfRej&BD{efjVFw{5vjhtw}^l1=I#3>xz4=(QV+pm(9+
z6)qo4=V-c!ekuQpvJzshM*;JVN?r*=b<`s!cu%jQV02O-C5P5yBh+<J4fW4Gmj#M>
zPtHjLtu&drc36Tz*xSddfE^uI>j%gRQxp_X*#A{=Np}00ABm0Fdx>!uOa*@h$L66K
zqYs1v(Oz*HPdRK`(zBc(qNqcq3C=%=z28D*15V5q4+b87kJ^_CKMeoHc8ux!>f*$+
z0}$B|Osnz7W~qOgFqPkG^^Hekxl?7lPxe|dNzzN|54@UpE-sQ1z_iB>e$~3o3MXSt
zZEfWFY_MoBf>4G*j3w3@S_H;n!7DmXOF_6K4R*o~UYW^J;OSO=DspO6nkd)%x-+*8
z#dblT_|22#UdHa0eN{QRvzparGI8=;iDo2Suj;2FMuUK&XLfJ6z{bGhDjAy|ilWOu
zG#F|`W*>F_i6B6_ZW0|#;xNaczd^%9Y9fOG<DQJ;Z~46Z)(-IGAchK+!y>4%RDjtc
zc5{?FG=UV<v9RC+%J>la8<c$Cf}jR~jW#q8r%)?I4l>d!2ud=0%+oB>LUP<w`|sj|
zi0lh&4F_@BKynd4iUol2MVWq0{^ATN4N(ILj|Pd{6Sk;e@_(Uzd12}RHl(dO@kD1+
z8-EA8B$O=4tq-%xE?&H76Z-J-qS%4DR^X-JrXuHlltw8)oT}L^Bw$u@hRWyp!XU(1
z)r?H2lS0FYNqqIrib~;3NmAy4iUlx7@J2O%Xdg5-dqA0$ch8;=c1bs=<SVsTIDfq~
ze&YDg>l%DCM%tdDa$O4ufH-YnT>|Ax5GqEt!z=^+^xooDVsH#&g?@!*@yW^ezT}5q
zla|nez5&S+hWZVdNszb)pAdjag@%usr%#je9vH{@p)&9t#1+8$$@+qcrL?R=vn3HD
zVco;Imca*4FCSYek?R24B@9x+rI`(=g`Uuqa07M+0PrzRN;JZtoCGeOPg^+T3dtr%
zNOFz+4QL}&5jSa+Yh!0d(N2_UDp2OgGT=Zz@W`l%*`?`|lT|%Sf6rk<-D_rcf8csS
z)<_5VDo9eGt01O~5Q{wP+B186w9pZg`{K7gnQKZEZuZi2`K-{-{PJ(U*f##C75rf1
z<{w_#{i#CcItrj=V0!@p-%v-vRw69|pqqlCh}s-2>@i?7_V%rpgsw#qa|UL@fglqR
zsi|P3G|F?p>XFr8Yw-uRwFpNHPZPZVAf#bMlK5S`G8ctIc82A;{G^NV=$b6KN?|)q
zFS&lHENT}|eR#;#^-1zCwYKM01yetrwUl3cc3G)t474aKRBDV;<&|*aeSxtccA}WC
zYBBW?(jG|uW#}IeFfcZz1<~iJo{C+V`$+%|0nZ*Ob~Xoj2W{GmmX=7YnGY}kMgz;k
z7-mG=Cm`J<m1HRNm;w%LS!fEunVKrB2~#lE-jJ(+CnXC9C-is7FK?i)EBhUKW*!Ar
zm^<LCI*f1J3Hwx(`G^$01}JZ?n}FL^T=VI66jgok{W?zKal?kCQg?IHe%4z@M?Ry0
z&e4%0hWD|xSHF3az3)Xxjw}mX>99w|y~o3@AcklrA#im?;IE%%rs>+hyYyS%M6K^r
zHojZceG#6A=hv9XWVyB$7|_M&zqdiTStvxXHuU=5-pXK=ZSl;zu)E;^_<=BZ08a+D
z3VH}h-*p`2@TDO2Q>5ewS~ghuM4(iTSjh$=l{f$sR4`Qi$P{`1qcKGNOenSh3z_rp
z!M~A#LHP?}>N^n;HFyvj5(SSonZhL^oI9a0`p5M2<j<d3N4SeS$C52VdXOF@w;oc>
zG406|$sC6Uh^iNcvLaLG4x3O*#Kc$|TUD}K@%O4(#Y(hIoW82Xc{%;vq0F1nuQHiy
zEIjHPyR@A)GJLc1T9~Rgfoc(CHsV%p2pvgtW~@?k@hHvBeyGVg)shjJv~n0G+7fP@
z!^nq%cda$PjR(=+e{@0VPU5Rt!Q@M4O*!^x8m6%Ik8zlZR}XLwQ&yNs09py8e;U^J
zlp&!cc<y#L^$VY1zEr0_tuCFI(bYIio}=gP-oCsq`0&MyfAeiiJ}AW6>+jJ8?Iw15
z>rg8!W^e49oHi%h^BxYw?nD~E=RK)H^nI6RyXy(|&MA85)-4t6zDQi8JmVp~)WhUd
z59j$lw1J6<=@GW?TDx4a-wP?&cMLNNLH`-RgC_VFe@b%l6ifoq8b=yUsWh`Mns^9{
zy@g5{g-z(n`HnrPCw-~sb6kL$$@mh@m7W)pz5)V$hR#+RCl9>Ywo4;I+>Wm?Y=9*&
z>hI{WM>B;x9_yv%Mw&RUT-(;AwM~cNmDSM6ukX)%_v+Hns)<nBBxhpx^~WEYm=`bQ
zgr&tN+C1KP%!|A2N%$7i**E`sv1>N&wl9QDs4Bgil{>mUO`OFo$Iak%=~wIs+n*{Y
zb^Y{}rE*y5ldbpU!%;n-Z@LSaf45VZsEx(+yY@>fF*16F>lSBT>HQ<Gl9_F|2BE+)
zC=FkgjKZB0srvq;_m&t>((!W#7c*+YY!_afc5%6Zf-TY%3L*<N5W>WNlR|u@5yyw_
z5r}|Rejk2H+UpX>UTnR@T7;O>kchG5IG$$clINK-dofv)Z4IMSQ@3K5oCKv7acBXm
zGapa}z1RbGm>lmYOdGxbdS_3@UAOUbF53fqRa$?iFH&Z7-Z$*X+^5V~r9hFQ&f}nD
z+>SC4G%gj|+Y<X;4P??q>I~CEr}Z-bfD(QA>Qxm!I}~%#8Wv3@9wQv+0PaM(lp!4U
zfq2HJpL_AcBAw<)SLt@7jHEi)dE+QnYQ(9<vQE5@w7t6HfjuiHW_LavO)G5%ycJYc
zUuGU!l%Z5|CQBb$cRzA(K=2yV6*N9W!dHG3|5^RW4zlYTx<^_xtWAo!4|GdTcp*H<
z_1vlI?&7c|=uJa|uSKr><qoLw*&*`ShrNN&h6@u*f2E)vUQH2_e}FgCLys9Ik%t|E
zLfN`?tAe6pf9{pV%&GOoI0fOo)Qe;I07m;gE^)v{8eEs$ytTxlnE4^cQ?|CP>+l{*
z?IkxzLPV8k8{R&AtPpqqz9pU^=6>`cYfbgd6@S(@H0<_k=toD#%xT3~w_Of@?&Z$v
z#!%#_+Z9gbJ}Jnr5~i=)|1g*Or$C<bOPbFRa3-duy;K-#LE!{x7)IP;(DSYmVS6ae
zDUa_TYUe6$*Ed;sPpK&=C|Dvdpai=ZYW#JH@<x;NbeIR#f(Io!7!-c6AXg%OP}tO9
zf#xD!{ByusaH&{Ste^~`BMWX|w6i$(@S3OSZ3NwAboxM~c}T-sk?q?H8h&JJXvJSt
zYyFevO}R)l%B;jMHS&}5p$|W$iJFxvOZ3nCl!p!u9!pS#O#b-s0?Ng(E1C#%{EI(d
zU_{ru1E7Yd)Squd(n5<lPo^vs0Np1#i5?ugOyP&tL}JYY`zq4#Z)T^yk?OT=6b0Je
zcT1gH-KMjo*HvN)K2W&DzT@^3vxZH#Gml5-t5>V+o9=1XUxNKClBwnkQSTN1OAByt
zURA%8Yr{IUF6<?6j!(a?vd(>ltI+uL0Zv2tUd-7Y<xnG_b9DEd;5?Sai@G{G;_nOh
zx3J?8=qR`sTNlLp3~W`vTJk`+^T2`0D95ZSm|g5<Y%F|ZwnCN_BU^LD)|T2QGBWZk
zMfky7^qbpGgAz2gt4sjW03tYxhUO>@u12SO#1`2<yTp_N8v36U6udwx6bSR%`wC~N
zFFfN@jAJ3eJm%T)@qvn2uKH&d--gY8+$%a;QpPcuyW5=m0bkqDdtTq!2WRHr+WiR7
z%{t(&7<cwT7O|khvCb*)%#&kQN{t=|1FQGEfBznP#qFu>TnNrF=IFo|j?{tM<tXu~
zhoFbFsuu8tNC+{RHFhMp#?|2byn!&e>dhNwbkjE2eb2xkX7AKTRzVtn3Mr#Rn%wFd
z&CAQ14<`atSg%3eqYiI(21dqwlx(P~sYU)Naj|VneC$@%_9OdkY1@;Qri`Ap-<e^$
ze??(@N$K@qKC|%lYhv9FS4Zp{I9k<U$V|Kw1_H-03aB!WzPvK_1+D-w7U^e<NWyO6
z{Um$^IH6P`>D;|1)wU;2^a2!v48IN`tjx)G{0L~Q5Qz#6rlh3wL(*<*A^R)o%j3NU
ztb?gD>hqaX^K>PQtW0|u_vWs1r!d{DlexKJ#PdaFCq$`I1-tn9iT839H0H2UJ9to<
zMO#C)5bXl{+|fi1O~=jx%_6PT0B_U-WqcR`*E(fVr``VPQzEurVnJQ8Fs%vcLn8Do
z<N#;m<_?Lr_&u>Oi0M;@Ac!cMkm7TJ9VHdRMA3S32Nz;COTa59+j4lx_MEzBF}>lt
ziKy6G3h6?C0ar==_z*|s91wHTYka_F>p3Z!+WpU?Pkt`n$#-FB6M7h+tt2)$1Fvzx
zkp`uJjD8|MK@`Zw&W@wxYj3X)f>Rq!$5XRhu(EF3Wp3}5d;V3WLgC;Kt6^#%dJ5aa
z{15f~^dE!|uTzN?{cM^`@+yo&CH#p(pFG)tpl}nqQ)q|~n>1h&G(5b#Q_#){h>Me2
z+A4&4?+|Aa6T~`FPr%FTB%X_T85kVA4+ZqFVZOmF?`*j+H$}gCbwFe!JK7J>poIi+
z+yeCGg&?poZd>M)h6Y+6a_T|1K-!x@?nYFPss|2`CLWXqaVXe%v5(yaAb~FM5l4yL
z17wp&$A4;}J4f!MDUdf>D5S(@?*mF4|L*-}*DNl-ps{p)=3<KnC4qWw$LR$3_hPgv
zR@;1X3NQ33erO)9xN~PM0+%po`>V03;9OLNgdSLWK16H|Esc;fu0%>nziL$#4A$NO
zX9tRD)n5~Y6WjmQM<#SSxp$Vfi^$&bkm}H`pz-i}V!J4AocG{$KK2mPuT!u86z)7?
z+xK>@+;;2aFl}ir-$O^zI%rJjmuF$}gsvtm8(2vFK7v!y3jtd?XH!C;!||8{s1k{l
zQx_?GhWl@k6yLsmt)Zb|UA>wHN_5t;u&~rgg#+q9LPxD3a<b4AJ4*EljnFkjsD!Qp
zaFW(i><FR9nR^6%BLR;XIkMgjZlDeRHvhP|Sn6DS{Y8WKr8H?jc|=3j3dbLl6%<@C
zGcyDCwCriFE=`_Ux429<$rcbZ^lTf5@#;j{_{Gfvs&~3JUODY@V?W#O1_2tSQ-!AA
z-zNne+PK9HtyY=k<m7BW&mwOl>!Gf6@$#QBc|7sGBL3(~VuSq(wt7-}7AP@+m37EU
zKCj9z^{d&cu+~T?0y3LNw&$iDeo#^&>++eWwe{<ga}<7n)aU^uR=~paBJ=g#B`Eq{
z+OuvI$p)U|Ex!_$7FJ?<JcXlVhWzLVZ<Wl4M#H|}Jq!8{Ef?Fua7e^!q<@68%`Yj*
zrtoto9=$~_X$N~V9`(l0E*g!{JuiO@<@61RkI;xC^YxQ09%IPoSD;#JBi^ps)%a(B
z#jTaHKHYH}MMnJbPcj<mV}dtk3|EeL4y1MB+sTkaEvakwE-eE#gL_r$(7X0yOGWA?
zhhc{uLD}KxIftebG}!lEfQf2!vf5PExws|&SJgA2{FYk)IHCKs#tN7Nf{o6ulcq`>
zE#-f-tVfdm9J0>z^LT#wY0s9T-DL?|iWH5Dxwi`CtIoc)Uev_=^9M{&1>|v+xGuAX
zhDJ4HFEWm;;-80(+^H_p31c6TW4k31685{T;?l*}343~u25fbBf{E_vG%23=JJchA
zORUvNKtM0d`Vn-z<mJG17Y@qgrR!I<g><*Yiz}4jPmPd}P^&GEs#YCPpfgZ$X$Gix
z)KHiiEd9LwWErgd_O-8*3Snlb;aXws=iM%FJh*tL$m+RI&Eq@;QPsOIX~o-qn@d+i
zaY7W!)xfkvB6n(nUs_RYBv=`5nT$8Tr#qxNcO{d9SKfWZO|vIUZ>84nDd*Pb=B<GT
z&Fd%qD!$!xq+7pdSC*N3;#peDi?h2m9t6<Q1qxsN@Zd{2=ZgI3g<Tryf*w4c*$qui
z&mCM`n#y!2lN&Wx9=Q{7G+_Rj_UwL<7R!lKf#R<gHsl5c4wuqr8y}abQK65g+@$Lj
zV_WDp4Jc`OVPIii%f=;Uvng=h12vBxvC5B*i;+cg{mX;Hgu&5G+BSIXyPa*N4rP>T
zh(GW8zK6nF_OePa^kn_eGjdc4f2VL(ekf0URs7l&x?eB#aO~LrpcV(yk<KYHtg`xt
zt%K6uuj-KcsOD#&akygOCj+a<xcXUxb%~qWJKwXcV%x1@6p|l$z1mc`UBy!GRgOUA
zjSdqp*KeH3x!GRJ&qEP&pm{DZ?WXalpRbErP!hE}wK3z(bgBwD%JC#hPY&<H$Bv5k
z^JqTk+E=Oza$XBQ;4k0RF{4DurtXj6Te*8<ie$69GNhKO%p2|)3phlicyC^9Y|<xA
zvDe=fcUMJZ9m6}R2A#N^NFP=Gq2jwjzB&&r4OCng?;kz6wQ@VFGUEe5AMPUxX+9;@
z`@9Pfvlxo~yFJ$B+hYj3#YXLITbGl#&Ms$4FVjIOrB~rQ6R#Y4Tv9TR#%@bo=w(Qz
zrKnG^W^zcpJ4V|i+`ED5FMTD4uO@Yk2){N1n;y4BJ-NVN%NN+ZZ>I6W$;odFf09Jk
zsZ8Dw-a{L;<z}JNPnLXF&uX*eJbKEbxu;%65zo1d-d_}|3r-5_J+wmEufJ_0Wr*rN
zHS5;BW=^vcXd@tyv3mI_&OA1}w|-sk6Wow%TUR?Z&5oDCkA1(@**Cu_3zu+z?!}nL
z&amqN>zcvT)_aSe70yNrEa>{!N9?2cuuvYePfAhsGtrHjuTOj1Z1Iy^XcSp5T+eR0
z42p10>O_2$Hxya7m$jm9wb)38V9}HJN;Rz=8yJ}xZq080rE})Kd+X5D>$ty9_ES9(
zUK~1mi@9IoRvJW%Y%M#;)7^5d=H*I?Mg5gO4~HY^mbTKJpz>P3*Y~8f?bwlDv9-Qg
zo7hbAwIx+^k1n2CnKW0f)B855o=%C!bRub5f=3jeqgyBwB$z1FrycU`EG7O3tDr*1
zXBHX(?+D2)>U=9FS5Vdq9}bz;`^rSuVp*OQ`E`DUSEBxvPrEhx<Y;>sSyR{be_Hav
z1vOZHH%1fZz>I3#-@VYA##6q%3O@UiCx^K9c$A(v)^2esrJ(kBq@|pXmZzuJ`Q#f7
z`DRZFw~DJP|Mb0j?)S&tD<4Ss>=51}%&+Yp7{-;7W2~r+=a4upO|DPS>v?&~I%n1S
zOo>6~8<7-2V@CetRCikEu=Vj+$34y5lf8$M`eE^u)33l|zwS5WxucaLTnovxbx_qe
zpi$78SLe%nTy2W%#H%Mm_V44eT+xhJiiFrcvDQQLUj5pPW7{cwH2f6pe(fu!2WVI%
z8TD6iFh}5??ulcpRR`I0ALe_R_|#I~axvX)UYD8`vu<mSoSN5fjA;|~5G}tBRe<L2
zk2xEH2ckGTV#phX$QvW+!|%M+2>3<$O@*cl)d!U7g`fGqczhS8YBMX|Y53?TPsUOA
z|E&D`Cq|Sk+%!?Fj=&7*3jxMEl?FU06ZALJd|v7P9bT_lZ+j}~T%bV+$B?;$Xo3o5
zRAV-^@Nr#nW`e=<V~U0tF9&6^HOG8^J5<L_<wbpW<6uD39Ou{-|FK9rMQ$cx*~q4i
z6wV_Vdz?Hu{+7Chiat5{00Y(h0MkGq<9go4+Pa(9<<<HmsQTU2=sOh5%nRJje!XwL
z)Ssfu>6*GHd!x@vsxP9wD{Zcr?uk74T>%e0&B|(xrmFkueY3CDCRWi=oG7our;TF8
zdG#)xGrIE0p6Uth85)L_?5sw{fi81?6ihn<|3l(z?|0qf6bmo%T}}0xlJ_EmzQAy`
z(f6qE%uT|nd&V|WwMUKXi1`PaDDAWTcW)WT$-Q-__PW@nZR>TT8kJ?(-ZqzR9u=Ox
zTjStCuMd{e?!qp|imIym?4L~BN_3lf8)bKcLuADB?aM=)&KFM`nAaaF96&hs+3Gtd
zuKTPdu3Mj`Zep#yl2~~rZ2@ijO6HVYG*%%u9b}l<y~;9T=bx`Zyi6K?UrWpzb#={Q
zThX^`B^DsPqvp!Js?D6IS@caP7OTQ;nNwP;eLg<SpRVKDQ~2pae#=(q5C9*iCck)~
z7;*1jFw$6KMJ7BW)g4hRK7na6CIh)FrtA;b`?Lrcv#;5FCE<zDClf_zSOpU6d@(?}
z%*S?_4XVv&%BxCqR=$vvQ{d$ivx*8w<6OLZ`QkNO>C*NastqyoAEnLQXFbSW)Id(=
z?u}&T6{bBhFkIzrwf7u1_rf}^&3c=vRh-Eb8>hm;NL0)d+AFxup*PznjM|%TO$d$E
zpGP6d1NeFYhm&NeTW)Dx7CjgC`~o}OPd%TIDuyMNZYegaJ;7ngHk-+B2`kjHu<7!K
zFz9a;c=BP%fvWl;>qDLTgp{%9Qwb~6Y@))mD@wek1V|4nWQUpoN52&T%tOw*3Gpfz
zW|+0@P1t=Yv~vkv;7HnCGCDdMimb9fzn*V<<^tH#wWXz{b%O{{ZQ!zo{!>1$E}z?&
z`Xn%r9(2oN#Z)!4I<#rWgFHcnLvj6J?%$>ciWFPd4q+aa@JOBGtr~8c^@bZsbcJ-|
zi96?PHfY&*4uy6TODJ_G&An7m?n_F1P}fAP+>A?Ilg}mqB^f~TH{ZfS*{tmBDFm&+
zLDySZeP#CH-LN4D`CZkgPbf?yMcda<iUY?AX1^*+*Zb&k&4z2XwGgoWs|N2QJWX|V
z)fM$GAKm0E-SGIh<n_9Sf+&`Bxs!#T;z++5HxTp(f#0gBenF-Wg7UTNtfr36dVHE;
zOfu5iK#N?d0*l<XMqHDacY=269pvf-jo!UiR|3$k8!h=)HrjBa8wA^C;8k^lD7Jrz
zmN{B8#N-Jj9<Pu@SlE_BhwvCl`5g}kXxPKlHzUX2zEc~mx;yfXz>cXsF_kE=!09J*
z8r#9+9myxMpMN^J!fVwTGuoc(H4Wi;&pv$m@X+M8cItkx(YWTm{(j%}7G6{U$|*kW
z?Z#kQcyR$|&Yi1w%zZ{jA^ABH6}zL?0rrt(m{JMEp>J@|A31zAnk50dk}eXJgnJ&S
z0AJvdNZ|uOJ5UK<e$oMa1V~W;pkQ=QAsIdRe*;rHusOHjIgK(ZOT_IIA1G#6fkoHN
zX-I|80}h@7W)W)^03G&bQPGSKj<S}OL}StiwArBUSUm8ahvz0f8y7kl3~pq=YGGr0
z-@VVqR{vnA+3KKM+z<cQ?z4#rPc4(krx3plP;!H4l|D`S@xT@ZJ$hGPne&61NDI9X
zkk)9yK?Lp^x{x?*0-SgoX1Z)_q@9tyy?yDWKSiYfc|bsbI6MPj-7yH_;X}IKR`Oub
zW(Ho=W?Qyz*8^NKh;C^&Q8NZ7E|A;;loMcC;a9vFvvVzSzYbKMCEEr^I0c2lkODfV
zwCcg)p3BE5FJT8KgpB(Z3aSpGy7^ThDQ+(R)q2czs$Z?tYbp_3?IBc9E6=ps7}SX!
zy{wrPc+ktM1gY0u9^&8<4QRgYOCj156zqPnhCF++x~VOGKP|ad_cG%q=lg(~gWkqj
z?#1qhXGbicN{g1<&<03P2Sd8`!ZQohd2OZhtGde%*}18l%V+UommUt>zD>UZXtWsA
zzy}6;!<?gkcvuv<J-I8)7*cdSh0YPE<1sny<TOZNXjC?nVFlV4yT$+c-`|-sQP>Wa
z8wH$-5ooz`-&mD6rA)t7ngF)Bzoxa-5F<z&A?n5;gkU>%?ATd%_jM>IL>sPKu)HI#
zn2}S#`uA%9<QM|pb#c9qL4Jv3QOg3eE4OtXA%;NWy*lD#Km5?3DV>QTr4@FoNw!k-
zS#N5uv5Boqh`iD7G#<@*qxGP%LtuljA^I7hfJ=Wofz}|QS_zEGM?Fae{?nGWwks%k
z#l`i|)%>TCq5uFMB#$tRFLNjU`ov*gD|`Tp0GDJ9FC^o~CsvUb>*(cV4MLA|r|YA$
z&%yX|E{y@F0W+%6n3eO-{<{}MBta8MPe4@XGm<hrVse7TPzmJ~B@g>-`E-L=WR#Ib
zc_dsPsqu*HA3Gy=v|G(dHcO-Stx<t#e8;}!hM!aL-5OafE_nCo5ub#8vziZ*2QnCe
z5(|rpZj(%aAv9o*8mw31Ee{XJ^`yJ1(eX<wFuDVmp$VzPU;LqN!|NZ?e5VYOG1A|S
zbaZXWGy*&j2rXMbu7OkG3_nnhVASY@@+xtlWVaGDN7$glj-|yrBIka;H#D^K;N9)b
z3Aq{cUUE5(Eg9^eQL2uP88E#t$}FGm&pxQ4LIrHc7cC+ZFQ_2yG$A2g;sr^8eH&Wm
z(pwDoo}&b)_Qm#cc5r*{RWwyB`t<1I_dLMYlu95uc^7A$3G5BP_A2@!qW38k<v*aP
zj4t>842s?<eYih>v_=E2e?5>N_XPNpG%SUJWeNh70kEN@We42zUb$~)PtQ6`$;;1|
z*>L1LumQ9QbS!QBACOF&>72HaeCt{UH16%z8*x^HVaS=WPqMhP0U+cAD#Ru(jlBHM
zBC)BP>aX3F3q2fHh(9^71G!3jIj2^I-zwN7bDO*DxBzmZW196R!iQ&qF2S1s-YiGR
z36k`lIJG3_<sCuC4Px8b|MjcT>Rmr?0<42;<z1}!gTUPb17E{Xi1HG^idI8+`S}8H
z8yXNj*3{Lh6MGwgM2R22e@Rb`UxW1o%08Fa{-K^rLSSjk#`MDhL)9&4@Bz_^9u}nl
zX;6zP@N)fe?@j-l+z;@buQ7hx-AMX?5vK;6>W=^-qZ5Y!lm=1wFW0PyOK{wWjNmrZ
zAW=9;&EFlA*EYhp^l$^&zg}HVK8{l=dwBB>>jboI!mD~+c6-2hbl^?SSJ<cTRQ(w|
zq*<>YIlLu5S#axCO@JFQzc5ARVrYKh6sg;36D@H}2vNphl+iZp2~0<=R&FM`ofl`a
zfQBW0a%(cwPdPZXkdI!DcG1bWVXP}xR4Z-UyjEV71mS5Zvcadg5y)rcUHYJwTjff*
zOsRM`B6Dt0+T+ECvylffTgKhp+_+nS&X_8x1KcOL6|p8AxUr`W&((3v_(VL+W8kbo
zI?tAW;}=Nes@jd%jJbVyuZK*-@fCZeIVvs1#O|*SifrR<*jy(o@vl8%9n3%PRw9^_
zJxVTx>uMUMaJv{|H&yxSs?N7>6?oTdej(0lWd37jrViwfG+ePX1NI@7FT6%V$Iba}
zp=G>?hIBSe(!-DZFCW+DmHSq|+#D4ihWV71LN+~z6X4Un2w#ysw91?I<mL<a84xkm
zBOKPOhfl7m`*RWn${uy3*59{M>8CD3K}2uU4A*_;@LPvi`zT5zaj=|HzaE&j>Ta1%
zS48#kh<(C7FEskDU@g{^g{ok9Kx%Lgj=rYrOMxLS1u!>H+}*%H2d1S5tZcHI^lZMY
z=IYg>=!jHt$n?HRvl`Yg=TX|d`>$-W{<DOpD2IR>H=0gr*6$_l<H<@F5>`-;*R4EC
z=~m6NpmoV+)Iar~cz8K$x|c>Wm@{kj)bi+kn0;z5D0!ECJ}`JpQ4Z55F?ji&`z=~E
zepGvxvoL=R=GXFB;kcN$N+alBL|ev<FA<=o9R4IWmX)1<MC2O%88fE41(HWD*?%t~
z3sJ)cp{A-(%J>~VE@loI&J-VoIKJHMjVXVf{`~@lMBe&WmHhTxqV3fc_Fh%B09Nu}
zT%DK_hG)ZOaFQSru6153#A)BDP&xi$n8*bzB*Dv#P()U1dFE-5Fk6yWMetP?ed`N`
ziLB+U<TM%bC*(E+3L+0T(pWyEHx02wqu=7T)q3*c|2}|u`2#*-i|FK#kXEC0p*gvU
zLAR*#;*}qI>Hi)-mpr*j_onI@jqP!=cB1~Jl+%&DYr|xBn=EGi?*5RE3(*~@A=ut{
zXQSyU3*$f|RaTZt1{{fen)7#M@bhH|0<m{B%RxpzDyg7ec8a7x`-646zcdrjNMDak
z9^J6mMD~kXR4Kx}9+cH0y_$Y>8*^|gPu!PpC6A<?iKg3;>lU88sw;4JWv>i<#d`lH
z#ZOk}uHE=xqPQCm&cSQ>qvGg4OVLEq6>Q>M#jmx>(9zwv;zEf=@xM<xvwVmvvU7>W
zG5N+Y(CadI3bc!JsZQ(K;1jm3B+vD6U{HSl$(4uKR2`=5qS_+r-*VmiwE1#=Nxmi{
zfqc!aTK_tYjeb;C8dlVlXY@r5JB**z=?I!GPoaM)sP40~_QCP_=S=ONQQfD?d#`TQ
z4LCW&{{@nw#0x&;5w~bo{jud==gTh5;KS?ljLZMm*lD&Gx5AJv-;-RPA-P(i><5ln
zuA|kXFwxyi^pSB~Xi;GdAnT5!k_`MXbGG5rwY3ttgAG?{B)@m{om%7`Jz^YiOV<`y
zw$~or71@RtS$tBH2OcP%{ajz4`ZU>(-{EzZ1TQjd-BW1YbrN*|{+%0FQrxpM&!nxv
z;sZHW<j%?LtDck(QM`X_Y;5xWho%uxQP*+GeKJ;LNvsQBzI-uHPtTJdQ^Jy8@MoM2
z4-e1k3^N1u>HN9;)OYDXu3cftG|Q<ChITy}TJmy`CgVq5|068SMDAAggbbT$AO9Up
z3yFmnD%k!$KyQkktwH#|V~P=qKVEH3=tX2a=v+`#REIL~6K1<F{oVogj(AT!0OwNo
z3*_HWYc@9=nXRV(f<M~_i3AEf3)gy!thK3qZz#RbXVt3}2Wg~BTUUSb$#ag)_+G{f
zijz<{!0j7Kkb5#HDJc<2-K?vrs=g*k8*wS9(al3!X3c=JJuo#~m2K$QT0!SW1?mz1
z0T|t0>Xv%eB)2Vg^bf#;es~zYKyP2`$A8J6AOxI(ETHkkB7*Udl9G}?N--LtpEnh4
z%HO7}U|95t;lrl(N0cixl{;l8s>{rudi)`8!+pOA9zj}xUNeCvf7a-BTWMn6$a>)^
zv9f`-Nqk*|XOaj7=@AWsOeBSe6_k|rC&?^6YqON*mz8CQ1Kr-z2{gVyw4@F_=o`@=
z2uVPZ?GQ^rh4{d8(h3v@9W{O?R?vfB3&#XY`QP6oL{tL72qCQoW+31rcIR_oF|C};
zFBYROSmL4K8&s4!VgFUsPxPsIDctL>@Emnq>9WPRSgXaL`)y<6epKv^&o8R#Km9j^
zQU9+dggyt)<`hD+LY%jdOcELtW&X4e=B9LzQ^0kP2gnMTs9IQB-;9hjI28jyzdDrK
zaDTjt9GQl)dtq`vEa$lfo?h(W0U>=I8vM^0-mbP33O(N;RTX`Be1oOsYRV>!-a>Ff
zLj?B3bnu>|Y3NTTfE<SwZ#`PaBI^I0VivLYszk1xRk!4Er?xSqSR~AbYOV%uX+hAL
zf7aXizYjwzQX<g6uoy!^6o83qi8#*q$w@Xsb`r*r__*K#-=n$I;k(jQ<gd_P<iRYV
zy}g}(_ijEE%yP<|=ET#PL{)(miY17@4Kh#}Sm#0IM1?%p7>ZWO;}xMu>#bl=Mt*_x
z4WjIY0XPevav(0MA32E^tfMBOavspR@>|c}HXh+TLTlsamv_O;f<pQH`Lj^A$vLT5
z8-!jkI~PEVCXEUP(hKR%)}`XkQ<yhXFa@@Ph?}JGkaAW1`77=_8<I*#zsCO%-GjC3
z7}zZ@+7~zpx;SCuy)>@mb3wB0OihO3p91ITT)7dTHpOr@y9OOkKWbvCk>5zeOoPZV
zO=Z^Tj@c|v`IGP$3BUu2zc4I9QUe(o8EH-?Qnmq?Qa@0&L=21lh*TxOpoAq(J78|k
zi&BZ?i4>JofBwt|<)Mm|)g}wf_&|DK1>{R%qPAZZnv4(#N_bE^1(Ted{LnQa>!q$I
zC2fX^H3VrOY4{ZxWx@xA_MHP_6Baod5CZ`P5z@X-Pa*0F{2AY4_qYe?TrYYF!rdgs
z-1EG9-oAsOS%wVXRQsGLapR{m#Lr5kP*%(Z_14$@EqmZHqTlV<Smu;bG~x+S0P3xR
zh`l(h*(*W%_l}L3XKxEkbIudQKF^f}C?pZYc%3aoeUMP|a)r_1hKQu(!TXc%U;trk
z!Y+TUqqEZnRu7~JJOpr{(}_%sh61FAxYjHG9!e6bpZdS0|7yLCoo}D&BuIN|;qh<A
zx96~#)t~5riRA-?-nM+NvRE94*amZ}eP<i%1ts!@wNEhW8VHE_Q1ZF_<tKLf(Dhqo
z_EgaFowObQo7HLC;@M5i1<8ZF;{gTL^QFq5w7TUpo=yx~76R?Oe35ax^Uy57c94zq
z>jI*3299<%ni}wG3!M-<|8p9eh--d+G^lx?elVy03|k-^U$(JC!6!W!KI5eA8WdtR
zAXRVT<U;Rg;`|7otU6cCJzORq+VUQ6b9{l6a|+&w0>Z*COPsMx+DW$o?nO+=foHRy
zUtod2^+e}^fmnfC);6H1KPUne)x#mT;srRJDElJ!De1?*`)oRpx@Ka&lDVd4qT-{`
zv$iYw&d~;)|B)HR%bJ|~kId-xDpuXFzJVGN5Px@99H2<T8KD}LB{C=tFe`Ok0jU5)
zp|ljp76yRJ)x}Ogm;VAY7l#@rwCz)Lmmr~lYi=c!NSg$3zxz-}fQfM(8be}TMYMCs
z5Mh`@?^kuiHZ(GF6$Ny9or)`^_df}ze`6&4ANZm7@r6jzeY~q<jsZFVD6L)KMwIdT
zBEbpB{i7sh+X&~^xvt}j_F6u{LvvE@>#F$KRH<LGuAn-iZ?n>&hV1n2-4&M?713Dq
z<TL|4eI+Pef@cKMLlu1n{)+|u1OrYK(m<52eChX-y8{FygU5shQsR=QPeas`ZUH;c
zw6c1*j-CA#N}g)pywM`!lvNB2#Fukwa`NVvFDKa8;4Pd(xrtpMHsUGt+`w-lu-~Ja
zA`IOENJCT7IGnUEEh;MdQ0#J?q=#sHV5+Kmd46y`6+ejhI#(piCtxcZ86_e>JXC}I
z{QL;wga8F76X|prI@tBhtpCd2Z&yfSEHr}B1=50i&>|NLTmx{J@v&nehMBS*p2N)|
z`9(!h@7}%3kbD{hz~Vj7Vy!!R7vkFi;qpE{{&SOzHGTLkiNa%<!vQeO8}EmH;Z0di
zR%hX{;_U3~6}2CgV#*09MtWf)D~C^503L`5tVmsyjojcqYC=3#eh57zP+Q{lT*X7D
zPeE0F`}Xal<IJ||>etWCBZak==0xZOF*9_Pdd}wo9l2tulwSCi@#=zK6+dw7NXXSV
z8)b~t(2oO7s0Vd*bqgCZS7+R*iIS5s<k@firKw8hvD6NAxn_0q3>Wh6b!FzWfEWe=
zZliyz(b()Zl1>OXSdYs>hyY}Hr}tbQs!+6`i5xNAWoUCQ7Z=B7dTPypTbJXSW4u|N
zQT1EUmpe~~1S}%(T)eyMq8v^mf9S4`Dc%>7sy^^toOi!XRhgEmmfD@UUw4pjUPBiR
z6fD^xe01P}=0KMHKRBa6BAp+JImt_wljJVsl~!d*vi=MsJpP;a?m2vye#wN;D2nBw
z3M$fUyPdxPOO@cI*1hvDSdK*ZK4jT-AFNnggt0<MOpBufDRE)$%MVnn|33eJ@xL*H
aOEjNd8fzJaVp=G89a7U)&Dm$^`@aEB+kx)@

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_boost-members.html b/docs/manual/classbayesnet_1_1_boost-members.html
new file mode 100644
index 0000000..838f630
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost-members.html
@@ -0,0 +1,191 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_boost.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::Boost Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>bisection</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>block_update</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Boost</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>convergence</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>convergence_best</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>featureSelection</b>(torch::Tensor &amp;weights_) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>featureSelector</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title) const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>maxTolerance</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>order_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>select_features_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>selectFeatures</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>threshold</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>update_weights</b>(torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>update_weights_block</b>(int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>X_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>X_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Boost</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_boost.html b/docs/manual/classbayesnet_1_1_boost.html
new file mode 100644
index 0000000..e0db539
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost.html
@@ -0,0 +1,845 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::Boost Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_boost.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="#pro-attribs">Protected Attributes</a> &#124;
+<a href="classbayesnet_1_1_boost-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::Boost Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::Boost:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_boost__inherit__graph.png" border="0" usemap="#abayesnet_1_1_boost_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_boost_inherit__map" id="abayesnet_1_1_boost_inherit__map">
+<area shape="rect" title=" " alt="" coords="111,226,227,252"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="5,300,157,326"/>
+<area shape="poly" title=" " alt="" coords="144,264,97,302,94,298,141,260"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="181,300,336,326"/>
+<area shape="poly" title=" " alt="" coords="197,260,245,298,242,302,194,264"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="99,153,239,178"/>
+<area shape="poly" title=" " alt="" coords="172,194,172,226,166,226,166,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="100,79,238,105"/>
+<area shape="poly" title=" " alt="" coords="172,120,172,152,166,152,166,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="85,5,253,31"/>
+<area shape="poly" title=" " alt="" coords="172,46,172,79,166,79,166,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::Boost:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_boost__coll__graph.png" border="0" usemap="#abayesnet_1_1_boost_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_boost_coll__map" id="abayesnet_1_1_boost_coll__map">
+<area shape="rect" title=" " alt="" coords="118,241,234,267"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a54bb9e01bfce0c4a3f3b1ae890d1f646" id="r_a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a54bb9e01bfce0c4a3f3b1ae890d1f646">Boost</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2590c3315a7a6d40c5a5dffdd245bbfd" id="r_a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2590c3315a7a6d40c5a5dffdd245bbfd">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
+<tr class="separator:a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:aac58b795401b3b7455fb2ce0831460d9" id="r_aac58b795401b3b7455fb2ce0831460d9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aac58b795401b3b7455fb2ce0831460d9">featureSelection</a> (torch::Tensor &amp;weights_)</td></tr>
+<tr class="separator:aac58b795401b3b7455fb2ce0831460d9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a413f675b6c2d72515a0832e125f48fb0" id="r_a413f675b6c2d72515a0832e125f48fb0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a413f675b6c2d72515a0832e125f48fb0">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a413f675b6c2d72515a0832e125f48fb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a79e4c58021af69e26126c8f58d1c3b29" id="r_a79e4c58021af69e26126c8f58d1c3b29"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a79e4c58021af69e26126c8f58d1c3b29">update_weights</a> (torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:a79e4c58021af69e26126c8f58d1c3b29"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abee86d771210899db79678a2f31823cf" id="r_abee86d771210899db79678a2f31823cf"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#abee86d771210899db79678a2f31823cf">update_weights_block</a> (int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:abee86d771210899db79678a2f31823cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
+Protected Attributes</h2></td></tr>
+<tr class="memitem:ae19dc6d4d70c74baf8b801a22a935a2f" id="r_ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae19dc6d4d70c74baf8b801a22a935a2f">X_train</a></td></tr>
+<tr class="separator:ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a023913d253aeb83dba60a15f61a059a5" id="r_a023913d253aeb83dba60a15f61a059a5"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a023913d253aeb83dba60a15f61a059a5">y_train</a></td></tr>
+<tr class="separator:a023913d253aeb83dba60a15f61a059a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3945ec0bb41206b421632fc999eb7252" id="r_a3945ec0bb41206b421632fc999eb7252"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3945ec0bb41206b421632fc999eb7252">X_test</a></td></tr>
+<tr class="separator:a3945ec0bb41206b421632fc999eb7252"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a88de19ffafabdcbc0cf8866d5c059138" id="r_a88de19ffafabdcbc0cf8866d5c059138"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a88de19ffafabdcbc0cf8866d5c059138">y_test</a></td></tr>
+<tr class="separator:a88de19ffafabdcbc0cf8866d5c059138"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac8a53b6bdb07aa4f8bfe43515da8228f" id="r_ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac8a53b6bdb07aa4f8bfe43515da8228f">bisection</a> = true</td></tr>
+<tr class="separator:ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9ed44d620c1f2e5c06c3695585e40860" id="r_a9ed44d620c1f2e5c06c3695585e40860"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9ed44d620c1f2e5c06c3695585e40860">maxTolerance</a> = 3</td></tr>
+<tr class="separator:a9ed44d620c1f2e5c06c3695585e40860"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5b4a91f940ebcfd532c73df0018acb3e" id="r_a5b4a91f940ebcfd532c73df0018acb3e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5b4a91f940ebcfd532c73df0018acb3e">order_algorithm</a></td></tr>
+<tr class="separator:a5b4a91f940ebcfd532c73df0018acb3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a71e17067522a19e6d23ab503aa7cc16a" id="r_a71e17067522a19e6d23ab503aa7cc16a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a71e17067522a19e6d23ab503aa7cc16a">convergence</a> = true</td></tr>
+<tr class="separator:a71e17067522a19e6d23ab503aa7cc16a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a985df40f71dd9a64d0fc9e66ed41595b" id="r_a985df40f71dd9a64d0fc9e66ed41595b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a985df40f71dd9a64d0fc9e66ed41595b">convergence_best</a> = false</td></tr>
+<tr class="separator:a985df40f71dd9a64d0fc9e66ed41595b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a57bf7c3a220afd538287f88be41f463e" id="r_a57bf7c3a220afd538287f88be41f463e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a57bf7c3a220afd538287f88be41f463e">selectFeatures</a> = false</td></tr>
+<tr class="separator:a57bf7c3a220afd538287f88be41f463e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1dd29281582d7815c7b3302d61492bde" id="r_a1dd29281582d7815c7b3302d61492bde"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1dd29281582d7815c7b3302d61492bde">select_features_algorithm</a> = Orders.DESC</td></tr>
+<tr class="separator:a1dd29281582d7815c7b3302d61492bde"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:adb59196a4e112d4c1921d78766d7b966" id="r_adb59196a4e112d4c1921d78766d7b966"><td class="memItemLeft" align="right" valign="top">FeatureSelect *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#adb59196a4e112d4c1921d78766d7b966">featureSelector</a> = nullptr</td></tr>
+<tr class="separator:adb59196a4e112d4c1921d78766d7b966"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1cbc839445860d3e4c8f5a11359c58c3" id="r_a1cbc839445860d3e4c8f5a11359c58c3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1cbc839445860d3e4c8f5a11359c58c3">threshold</a> = -1</td></tr>
+<tr class="separator:a1cbc839445860d3e4c8f5a11359c58c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b290f030febf39c41ff679990d9cf4c" id="r_a4b290f030febf39c41ff679990d9cf4c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4b290f030febf39c41ff679990d9cf4c">block_update</a> = false</td></tr>
+<tr class="separator:a4b290f030febf39c41ff679990d9cf4c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00027">27</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a54bb9e01bfce0c4a3f3b1ae890d1f646" name="a54bb9e01bfce0c4a3f3b1ae890d1f646"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a54bb9e01bfce0c4a3f3b1ae890d1f646">&#9670;&#160;</a></span>Boost()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Boost::Boost </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00013">13</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a413f675b6c2d72515a0832e125f48fb0" name="a413f675b6c2d72515a0832e125f48fb0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a413f675b6c2d72515a0832e125f48fb0">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Boost::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00071">71</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
+
+</div>
+</div>
+<a id="aac58b795401b3b7455fb2ce0831460d9" name="aac58b795401b3b7455fb2ce0831460d9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aac58b795401b3b7455fb2ce0831460d9">&#9670;&#160;</a></span>featureSelection()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; int &gt; bayesnet::Boost::featureSelection </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights_</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00102">102</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
+
+</div>
+</div>
+<a id="a2590c3315a7a6d40c5a5dffdd245bbfd" name="a2590c3315a7a6d40c5a5dffdd245bbfd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2590c3315a7a6d40c5a5dffdd245bbfd">&#9670;&#160;</a></span>setHyperparameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Boost::setHyperparameters </td>
+          <td>(</td>
+          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters_</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00018">18</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
+
+</div>
+</div>
+<a id="a79e4c58021af69e26126c8f58d1c3b29" name="a79e4c58021af69e26126c8f58d1c3b29"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a79e4c58021af69e26126c8f58d1c3b29">&#9670;&#160;</a></span>update_weights()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::tuple&lt; torch::Tensor &amp;, double, bool &gt; bayesnet::Boost::update_weights </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>ytrain</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>ypred</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00123">123</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
+
+</div>
+</div>
+<a id="abee86d771210899db79678a2f31823cf" name="abee86d771210899db79678a2f31823cf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#abee86d771210899db79678a2f31823cf">&#9670;&#160;</a></span>update_weights_block()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::tuple&lt; torch::Tensor &amp;, double, bool &gt; bayesnet::Boost::update_weights_block </td>
+          <td>(</td>
+          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>k</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>ytrain</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00150">150</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a id="ac8a53b6bdb07aa4f8bfe43515da8228f" name="ac8a53b6bdb07aa4f8bfe43515da8228f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac8a53b6bdb07aa4f8bfe43515da8228f">&#9670;&#160;</a></span>bisection</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Boost::bisection = true</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00039">39</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a4b290f030febf39c41ff679990d9cf4c" name="a4b290f030febf39c41ff679990d9cf4c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4b290f030febf39c41ff679990d9cf4c">&#9670;&#160;</a></span>block_update</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Boost::block_update = false</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00048">48</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a71e17067522a19e6d23ab503aa7cc16a" name="a71e17067522a19e6d23ab503aa7cc16a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a71e17067522a19e6d23ab503aa7cc16a">&#9670;&#160;</a></span>convergence</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Boost::convergence = true</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00042">42</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a985df40f71dd9a64d0fc9e66ed41595b" name="a985df40f71dd9a64d0fc9e66ed41595b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a985df40f71dd9a64d0fc9e66ed41595b">&#9670;&#160;</a></span>convergence_best</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Boost::convergence_best = false</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00043">43</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="adb59196a4e112d4c1921d78766d7b966" name="adb59196a4e112d4c1921d78766d7b966"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#adb59196a4e112d4c1921d78766d7b966">&#9670;&#160;</a></span>featureSelector</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">FeatureSelect* bayesnet::Boost::featureSelector = nullptr</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00046">46</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a9ed44d620c1f2e5c06c3695585e40860" name="a9ed44d620c1f2e5c06c3695585e40860"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9ed44d620c1f2e5c06c3695585e40860">&#9670;&#160;</a></span>maxTolerance</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Boost::maxTolerance = 3</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00040">40</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a5b4a91f940ebcfd532c73df0018acb3e" name="a5b4a91f940ebcfd532c73df0018acb3e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5b4a91f940ebcfd532c73df0018acb3e">&#9670;&#160;</a></span>order_algorithm</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Boost::order_algorithm</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00041">41</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a1dd29281582d7815c7b3302d61492bde" name="a1dd29281582d7815c7b3302d61492bde"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1dd29281582d7815c7b3302d61492bde">&#9670;&#160;</a></span>select_features_algorithm</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Boost::select_features_algorithm = Orders.DESC</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00045">45</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a57bf7c3a220afd538287f88be41f463e" name="a57bf7c3a220afd538287f88be41f463e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a57bf7c3a220afd538287f88be41f463e">&#9670;&#160;</a></span>selectFeatures</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Boost::selectFeatures = false</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00044">44</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a1cbc839445860d3e4c8f5a11359c58c3" name="a1cbc839445860d3e4c8f5a11359c58c3"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1cbc839445860d3e4c8f5a11359c58c3">&#9670;&#160;</a></span>threshold</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">double bayesnet::Boost::threshold = -1</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00047">47</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a3945ec0bb41206b421632fc999eb7252" name="a3945ec0bb41206b421632fc999eb7252"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3945ec0bb41206b421632fc999eb7252">&#9670;&#160;</a></span>X_test</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Boost::X_test</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="ae19dc6d4d70c74baf8b801a22a935a2f" name="ae19dc6d4d70c74baf8b801a22a935a2f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae19dc6d4d70c74baf8b801a22a935a2f">&#9670;&#160;</a></span>X_train</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Boost::X_train</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a88de19ffafabdcbc0cf8866d5c059138" name="a88de19ffafabdcbc0cf8866d5c059138"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a88de19ffafabdcbc0cf8866d5c059138">&#9670;&#160;</a></span>y_test</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Boost::y_test</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<a id="a023913d253aeb83dba60a15f61a059a5" name="a023913d253aeb83dba60a15f61a059a5"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a023913d253aeb83dba60a15f61a059a5">&#9670;&#160;</a></span>y_train</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Boost::y_train</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_8h_source.html">Boost.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_8cc_source.html">Boost.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_boost.html">Boost</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_boost__coll__graph.map b/docs/manual/classbayesnet_1_1_boost__coll__graph.map
new file mode 100644
index 0000000..4321386
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost__coll__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::Boost" name="bayesnet::Boost">
+<area shape="rect" id="Node000001" title=" " alt="" coords="118,241,234,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_boost__coll__graph.md5 b/docs/manual/classbayesnet_1_1_boost__coll__graph.md5
new file mode 100644
index 0000000..94b6c47
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost__coll__graph.md5
@@ -0,0 +1 @@
+33c55f91c7a5aad7b7e8fe161de0b44b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost__coll__graph.png b/docs/manual/classbayesnet_1_1_boost__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..1be9b7e3e6793825e312faf54100847e021d224a
GIT binary patch
literal 13587
zcmd6O2T&E!wq*kn1w|xD5D-MksDNZ7iDU#MM^S?093)Cq6c9v^93&^nIg2C#uVj#n
z<S0?%?EBuYUo-E|pZZhvt7a6XX!>@aK4+i3*IsM&YZWCKA_6J`1VM;oA4#bq2!<m3
zBgVslBRtd0>+lWdsl1F7a*qC+QlAxtAoPf=l(@QE!uo`lp8E4Mv9n=b?q4A(z9E&b
zQ;pw$a2@ps&X1Oh&$yXqQ9z(o`%(L>q~!L!%CY>03T^5I#W>Hqyc}$Sa_t|!OKdT7
zjDPshRHe4@u=>-dougCZ@2{GgZgUgXC5PjN<1QwATCFQ`?5*Q>OuUChA3!XD$MA3e
z^-Agswi<Eo(hGdQ(uRj3mdo+Fa^=b=Mbv(wer;M@n*L0Jli-AHx=i?4#ftE-Je`z7
ztm;bZ0-HSEal{Fm?>j|Q1<i39Yh*lzLZM*MLvsx(5f3M|Va9+7m(9tE`PHh8n$;iG
zj*HBO;pU@Zv_e63b#+ub&X=;K@fZ?524oUTjEGC9;W4byr?LbPyF~mTmB15vWKO^k
zKwHSqqnsrC8v7zS&qEF+$$p;i@%M|y`Yv+S{a~+bMVdxS&9=Ya>oYnz+{U|nxjjL^
z(e7y1V)aj2+6_4Kaz;jmV#(Rbi6{Dp-@kt&zG_)Y44j;o;`yvw&Q6butwu|jwQc45
z$-}*nSTP^bN%zG>svWVzX)Mn}<L;^+ULm2{&ix*;U{e<tzM%r$VajrTb#wFEggBD^
z*Yhl>Cf(+U5=35-ua8#-XJy?AqY-!&5)z_wIrE#-+Q=P3N^a!k{#tVY{#9;^pG+r*
zbK!VIL~ZXGWf0_H`W4%{?I7L(DqVMX0aZ1%R0}GEo|zekg@vVRA<i-)IXQf;J^X&B
zhi+Vj+Zt9=<N2xW_fPk5r@RjI%l{gBZeuqbt>iIlXVv#63I$hAdgRHD*$h-Jwzak0
zW@XKF9)-CP|GB|;@#4h-uHIZ8MM)PIm&CqOE%w{&>{fR1i@k}G($azY<<c@TCY_Nt
z-Ig<AzF71#E5z~O=V=xdZdcVD85q*N$lIYiKg7i$r1YJrb)DPvITyO_K7WOh5QmV8
z2QOS?Keoq%D=Td5qx0q@?aPCWK$r%E{@%T-_sn{~65aph+j#PutNd&x+foekfwuOw
zuC6Ytp~;`+<tFDftA(vtmxYniQN2wQYRkmvN3*-j{mu<htZZzSC0B7$-b?gb@iD@j
z`1$#5?d`RFmW?vvp~669Wo4I!i|8aIB#0>~&Ap5vM6MMV7Y~jtjg_;B9xX8<4|H^>
z3LDQnoK}a3&d$z4LPJZhyM<D4J=~nEzd}OtYGb07Q9$5YQ(L9HsHmt`gQox{Cg$|!
zW;m=(T2<AEY5e_3H%12s2fM{Y*V+1mNi2k2zlPN0+uPzH*JUSb1?H=T4M#6lo%Fpb
z2XS?suM4>lqE|XiIy9yK$&~Zza8dio-yO?>RfpAV%h967vo{d<E#^EogoSBtDJ49x
zvSK&zId!f(KRd448`51}@BVbpY<gzKkJoZ21*WlwuM9OZwo-iFa*>Pv{{7(v6$Qy*
z0h?d^!Uw+`5#NgxoK557)bOpWqQBHk*>k7oKH}Rac1{CRMJecXThL`KMCQ8t1@h30
zZ`&UtBUKANR#ou_1O?q-W6NWx9Tcr~S$}hvlF%x9e*PJzk%9u@&d$!KgoN)YDfHjk
z+TJtaUZUwBqUKZS=P`Z$95p^3pOcgGtID47^yEbA@ni8w1v$C2@bJs>^77iMsx6Qy
z{*0O>|NgtP=nflje`6wkdwW~he)fWwmzTDdR>zw+1Pv#Dx@q{VC}sbAeSP&pQ+D=k
zs&@}FKY!-t=8o8GJa6dXlP!^t;Z#siDBEYdbLV{#OmIOzbJS~u-+GLPQ?DvQS$O-x
zX5Eew4i3(rj`xg1ivxqMx?W$NEH3oK=kzb<kLPoK`t<2S)2mmnx(m}8#;ZSn4q&=Q
zLedg0b{5N2?eJS}5+-VIKcnQ^Ol$BxxCbN%BEd;Q9IW_1^1SfP(ZPXAU0zpsU-swV
zU^I@uA0&#jm>3G>L_z7uggYiUCQqNPOdP}%?nG-E%)l6ABMrUw$i~Yp+fyZjBbj^-
zXK-ECM&84yVI;e|yYpGe-g1%OySko2<o*3dZ9Bl9^z-M>kwSf;$oVK`(N4?4>L56k
zXsjqY?7E1YfAg1|PKkRWA`^m}uWuzyM=(g57i+nl9NNE#`<9SELq&+=vNG@*A0MBc
zgCiq6Jlwgp?b|nph3}u3I`>wG`=_Rov9YmvsNTVsUX>j~dl+rEq4(cF8yg$F8Yh;%
z1OZ9Kek~1+hktx<m3}KRb-uoO>(6pla>eLEhETC+bgKJi{lTA{tfX1=;Ep#NlM{tp
z7k*Vc%KkK+vfgXfNQ7Hk4HwcXGDr0s<pwSM9zsQ|>lvDlt;j!r2V2162Vc<uiDW4U
z?eYA%L=@94h1e!^3Si0$&J<Y{_Sn5WF)^X7qtgZ9*qbbtys@#t&dIq@^1Pdpj7&Px
zb8k@d8Y!uI!N<Uh6b`#fDBiFvllHJ;{aP2#lkN89_4OV|EId^{(JKT!58Yo*7U<sJ
z-Iy2`q$MYZx+1*fB<T64^A;WfLCcR+NyzVatE#FHL|9nZu21B^XlJ2^JHBV6#+fZs
zIr$RuNLe`;WiEAoc8V%86x&@LzPvhA;IB&Hb+p?&R&H5rKljiH(wecc@koQ$%W{ug
z@6lI~-&k2$tt#BBpPHC#&xUf%X2ck@z}fE;65c`@zNoFO&39~*ce!GP5Ffu89%F00
za%w31HzaVbkL=p2CTnXBtL7aph02l@?r`h%7o`~%dF|dA=notEoR&MAr$&mb5)u(f
z8yV3z9B&A%P1aMpPB>H8)NMaxx^>G0Qg_JPw-@ZTIp0ClX}q*iQ6cs|KXqMo8k}2h
z3A{K`Y=Zki^_>SQr`J}XM8?L36Y|xrhX^tab5gaEn-}r%V-U>$=g*(%+1UvZVj3DN
zuSv+gSIEc$Yd0IHlai8#Y&BMXRo^=~If;1x-gu&;y1JU*=S&!Vo41sAFx4^@#0?Ct
z&(6(lPy1hf3YlTZB`@sYNl-`uAGQ2%jQFIau!MvJ!GBJ~8eFNazP{M&*ySyaK*?B5
z42Nz|Nl6J6ZbpHZQC?U}ON&RPqhy7QnysUZ<!ZZk_;r!3KA*Fzj*Go*J@=;w#l#xB
zb<CbUV~UK7wA)>J{L86dvFi6n-7k)dN^29f6l|J>7Z9hF0encE1^abf>-yC9@83uN
z1~Q8%x?ufs8Mj^<$mu6Ls77&KcybAkPSlf9x5BFV1B)6OGaMcr-C$z6fP8UY)%cv1
zrR!?y=Ee_U!|ikCsSwZCQ`2f&yUs^SN=nbbfWh?s{d>QTjz?A_Uoapq#&R2DqKmMv
zFCz8u;gI{23RYcfOkabd%1d!rO@K4Dn{nv|1c(rKclVC2E(r|{@(SCju+FGk>5%X!
zMLnx}8pc=r3k2)y>bAPril!l8zJ27-HM;vr<?&;5NiZ7BeG+@$*5IADp$%<JZQ}aq
zLV>uh$bMejJ+n(5yGwqM;SNiNuU)(L+I7+$*B|$CP<%Y~x3|~)quDgmY^NHAqTY|&
zHqwfnY+;F>?y4aaMNK|ue-~r#K9?(SuCA#`gH0BTzSiDKAk>Y|lh)4KoMsB8nneb0
z-@bhYf#@tqo23~44H9{r0&`Gs@I88ZUvY8q1VLw3v%aJrr~o>+&neio9v~-w7nAeK
z<0B#-aB*?%uZ>1|)F<6D{cZ#}r^obO@MStBSer}Ng=3qWoArvHVt1auTU8I+iI^YA
zQTq!RY1}G`iOy^Hv4@9;!|Bl;6IWQY-plp!A(vbw%`gj%)8&DjtL@=*eUR7Mj$&($
zypML51&>t>6XP=Nw`bcR>wboZhcq)<?Pz8*SvPugl4}wdqbnm>;pk-&S8?R9+?E^k
z!onoZdVS<pUbuyZpywgCzP^5eN!)&6zd6s(iHSt6hQk}OCHeVpVJ~=YR4?Whm@WUz
zaB_BjZfD2s<>`6Ygmqbqi{yz&5^FmTTgK<lKib*?lYP$I>yOJ-qxA7|S?}E|9m3ie
zHuNdjpM_OV%d}wXyg%g`1>m~8LergWt8&UakI%55=WMrMS=enWr93exH%~EgD8fR)
zd9S`fbR;*53F@o+;g)fduzQL4__V`HRph#rvf&ykQlgYqU_ahA5wiWs+41J5<m4&J
zn?pI;68+cV(635cy5s%zZtL+1-oHmut3OmF`>#8!2?aCPdw2`ny?dA2bwf{h_lIQF
zT$m8elOW<Ar7*9>q1&2$Tryf(TJLK21I;hakGR_W8MKqYGseYNWC-};{|~61+Iy!5
zf`!+NR-%j&Dp&bgqa~_Bz5Z`QE>$X2VQ<E2?Mqbcoj(Qtx~lzM{P613uw?{i$*E>4
z?#tgE=X$M#C!;JBboFBL`gOcf>6Z3<OqQOg)@YxnhCDUeuM=>mF*3GFLdDK(+l+4F
z)_&1FNx_mN8<bG_+b7Cz7m&Vc!NJ6%n=+bQk|-TMg&c~{yuD$-&iZXd@o}!j*>bq~
zlS$gxBeUCNG7db*?L?QCYkmy-UeeLoQ30kG$r3wmA$5e9KbkSq@S513Q=LT-=jaR{
z%h<Q!<+|e1)Jd|4${P_sxR>qdH+#9*0?Sri<?cZLBe-L>59LTh9nB|1P`y{p_Zk5+
zk(=hdxr_rFP3QA;N)$6Yrn5dy=0qXZne3OwS0#uY27;}kmazL^WjcJ-;vuv+rP%S&
zUl*Oe-mBYvmG}xj;9;N}W>Mj_ytqFtA?AL3LDwDG9N3a25-T1(#<sW+o$GQj6=!<>
zQ<>i>x%lWoqIU~3eh<0Te#}~mc7$w-7wzRcEZEpa{+Y&|E88oJ3;D`Cjn2lw^<BG}
zl!)?s)(85YM8lr6Y8G<alOtu~9CLK<D{nYBzPwm5tMTN*^pr~W>PmG|0Nd+E)<C-S
ztJTKe7T10z@V;3PS1F)$n$B_1bR_p3en6JZ+2CzSq`;cALhR|_SV}R5^T@oyj-06b
zf!2z9>~#VHDQOh~hxiO`R6Z#w*<jy=aW+M>W9K}Cc5vr$eA<eT&DZA<Kdfekq;iE3
z+j0K!3#9A_A4QDOLYnkl??IimOro*0l(g(@mVv*`xFp}ZR#bL<dUW)tZ=^0?U?*qC
zUiEyhMf#;Yi+W>%G-LjIT6Cx)bs4t0&&_7ROZcqQfzq{%-+T0Rbs6CN$y)vASKTPG
zy(>CH&8W#K?wyt2mgo%q{BG+@6%*!4R_HL2ck7nludv_OEos%X$LUj-nX<Qv#0ozc
zCNQ%T9A0ROF{SXlme>(bqm^XNyzPIfjLnhP*8i!QN)K-HdHs_t>?X1Fus{v|vJMR;
ziGJDqYkA)NzU6YwgiV-6mddUQHd!+^n4L%@6TfaHdO1i3&5**Z+1OEB+y*7uO~yew
zTS0Zdc;#(5nc>kfS#!ZFnimaz;$a7d7yW4(kiOD&V)~hti{;w{{XXX5Q&W;)!5Ssh
z;ZPv$KC5G~Cl0-OR{uBQ2*E>K#Ess0>s)->TQ%$P_U})%j9oN(FY<1sE=y@h<wg<2
zj`kC&<%SvCyip}<yIF<XG%R?7#Z<`F#pqModu=SWZNWq(>Z^`M9jM%Hvn(PxU#0k2
zi=T~i*;L~sf2CB|?z%HhczS-h(qx`t{HyCx`4o!xHQT{Z#AfYMPa&O3*6FF=Kyy2-
zzOwGE)X}b!D+zR%RZsfuj^iHfm8V;hr18H0VHKE*lXc^)#G!6%eJL)$9KCUKMsc%;
zduJs{DrM~mP;T=QDs1IXzuYAwGrsF*t$t{waf6XYKZ>}(FTj+of<;bS?u|X2uQKVD
zwgSod+ESd<#N>w0SJxhM|KRjh;tE;w3WxZ#4;fXI2W(H-UMt_^*UgOf8CzV;z3=s$
zb7d<t-SP_hBn<RP*%y5LTgXY0A8t-l$_z7|Ev}!*cxrDXT}X)v&HH^*W|+|`>W390
zpEQfS{T0&(#urH|dgSIg!U|>e2o>rlcd`9?3psVZ=6_&VhGQelntkK3oz%;-bN;+?
zGuIK<LYlk=CnrVg!4(V(4AZtE#7V_;IAnzJ{>cgq{FI4jJOxhw*^HZqfAS>DuCLZ)
z&@8Mlr{FImw=3qBMQ_uu`j-dl8S3tCZigRhuJ8PgF?6wWcJ`W_m^jTbZVig&lhN;$
znoOz`|Hso%mOilh5z>Q_t!qW`mh+OgT|>sIYqTEn?Oa>H`?>FW6>{#rT#igvclShm
z-fgoRsiP0A->7~}nldK$y-eRcy7u%ZPD8FESEGeSmm=T!X-Tt@-9)8rvf1z5{q^yQ
zsL04VPA?kSasXilPv~?9{jhMyMzv&QA|tVhm~8vT1y$RaW~?zwA1N4!7+5<x$y!eU
z3i8+2(+k50!TN&uQgr&TWw0aHv8OXX94W(7wIW|EhYQD@1t+NVP7D_tkjc)T9xrxQ
z)~*sbE(FJgkQ0p0m>pPlo`C%?0(iKm(qHC`6ym59e$WwpF_3NMx;{48)7Ew~>a(qs
zl$7y~t=~t*vzjtzIs4yQCs<9a8DChK-@6LdFkv8exIdET%jI%#qg9oWrJ~_gf8_10
zzY)zwOJ(p(8-j^8S39+V*V>p}Ss9~lqJ>r`snm8#R5?-U0HgE10<)U0>WUb$fgt|P
zKMeZI`Vh~72CrkK!otG)5eXFld$fZ0Mr47idcaah6)K>jC2M5jM6&7NB#WscCqi-M
z%KM`JWl?M-()Kc)sIV(Mk|8GdvQv$vp1yt-((yVZ<d6_~_?FThrwJEf{umv7dhLO+
zl+@R5Xay`E!-NSUGRT9h{t5i1ck|~$FZc5Wea=os#gguKV(2@wlEls4$f#Q36PB9R
zC#I9L6HGEF>cc@YIK5}eGA$a_wG|>ckynqrT|3p3F_v;a)Q~mZk6}OF2)|`Wlv1y{
zg6ryfFb54-JH{{NlEQNj*0brAB}}P{X{4G_mt}7G(ew3=H8&PsFRBo%VK>`LroQCt
zYF})n(S%iO;U6|~eA3b)p?lui@W(@{LG{J_&2F0u5vl#la*qsNc9viugmO80k&7*@
ztwpMGSCEFk3-P_CrPbf0nI9)6SiD)`Y<QBK7vlP%B{P;bVPz>Y0aa@p{IaS_%LQvG
zn`MD_(1S<unC8Jb&`whr2%woAEW29O7yha%YRK?4!l0LrSpA#1shXO^l8&&EDL74;
zF()!As_1Tf&$z6TMXrwSMSR7_QL1_Zm%>$MI9TiG5<6bf>POzw7MVXza^j^%Vsj1`
zaaD28C)HQqgoN-v_=At=0%z%!mX<cF8TmRcvw)iS#lQg*1#5=r$<b<2=?B%kN8SiB
zGc(i3nvoW*y6JhkH=NaDx`Q7ncHzQ>x*_%Q3UY_;_u14rX;E9}h_F;(W5M-25*mF~
z`AUzD1Cbtb3M^lOsL<bij;c0YHeq{Igh63)ISr<z0;eB!Z3J|kN0UTeVm@-|?Ckt|
z2R4SPGw>^sG4b)^<wyzRjT?94(>2U)rLtJny3sAJUbwFD^=<UrpodJ%fNI-iLA&U*
zG3=&CZMxSV(I#v{)|rc{Tx{XXsB%c~ASEbLnW=}l-dKv%Ns~^wq@FBUEQP6thk=C1
z&WojAwFpz1_X;b_xar|)w9?aUd(=CHa>irOiCB{2e694^UE{{4s}qL=-VAA4)S-ma
z4M;sF@sMC8@Upns-iN{kK9&35qtOo~mf#Ouk`kp$d}OV0gU;!npLyzH_t@!1c`Vb}
z1ge}T_=&%o1OPR`KDb5ud)=_FWZD7-9GF|AuPf7Bx9GwOvsmDHe)Od+6C!D66N?mo
zHFo&qB-HeZpUe$3BEr~#zwf+Gm|OCQYsqb9VR-Z6man1wUZ%aH@-By~lVZ!A`K#h-
zD5+Zx7``zW-}QNw;Hb#E=Y!K9h(j~Sv8UBPP4akexZbA_s$rhtCy7gY+%wkP9^KNI
zz16W&yrL*G?3gi&OS_bn?c&EekuedtjhcFU+a9i5%)}#|9;!5Zjyp>x{ashU;B*|d
zr&lP}%YA?xj;e255m?m9Mxl7|+oSF%qLwt?Jt<<Hwr6DzRhnlED_kt8j!9<N^0{t0
zyiF1-5yE`m5|{3HPE@H{S_Y4S>W1L!@Q1e|Q9_3w{(WY5&iLo_mX>q^h+9~`%gy`y
zcseXu$PC{IAXZ}Vz@-aO`b=K$-^X9`F?aG>giGuAY51XF&7~Qd`ITyOzPxXFZW&wj
zq~z^PcY9HLNRtrOPn=a!qCy)o4%QCo?whGBaf4mOFR=Y^@z~!e&6kGd-}L_B=O;)n
zi!rraFaK=h0Z+)UUz{{I1mE95W^=x{?P=|KIu@Nz_~rON+6z=YnH<b=oBcj<<#~_3
zznv0ET#K>kx>1>`7KYJsuKh~qg3e|wmKyGrLy{)%dgW~<d<Emn_=+<sDA@$;S$!Tg
zyTYpNY3`*m+7vlXw(TUQDGjEzn<jBBsW5SQsl*qjx0j^O@;Wt_o?gQ=(rhO<cuf*J
z>(KEjGis#Va@a&JM@*n5EYo4Y^NC8$(C-!dLfi(Iev6NpdK4TgUD#G#&ity7QJ={S
z|A?y=tU*xR@QLc$+NnACv!og)bwTb9RaVNh7z$O+pZDjF11UwfrWYSCzTzz)H~fG6
zP?3pY(8>PwOAk%ohjFG4!m9pzGxVS7765coqi!ibZGMFv#@Wiyn<NrymgJ5DguV>W
z3c%L+_h%{V#!vw4nXGfa&B0+Exwp8uXoCKMtMSk{{eP!Z6q$>X#1*LgQ;Aqyx?8CA
zZ%PE6&wrcP5J()uO-UFJRAg7sBPAtMX#8bMva>@10|U!NImN`1<1%@(dvXZ~2!NJ+
z@x4-u{p9puYSlAo)XEgt0RQo|pBWdgUcE}KH=O-Ao!_`6fNK3M74I8h&KYD)O-)H2
zyc1j*Bd<78H}sLc%fu8w&1d!HZ){D)E!mGBKbDl04J_=i{hpuyVZ>cF79LDsOz~0@
zO=_Z0sNJot6xBCZZz(;KmBp963+yce1H<mYf!Tux2%0X4oEJIx)fyX1X(<HstA35s
z4A8=|k-*OYm6idtosi2~2du(3Djp!pg^OxdSdR`5zvx!l{Hk^3`Ufk$yT88>Z`&Yi
zXlS_NBp60{=asayG~amLOb~VUhqT&Sq2YXO$w<%N(VB;gV&|hehJ(uhA4rh?pFdw%
zg};4EXfxH2_^jtgzNPNSN>st~<>lqIAE{XKa&r7H25#3>Rs8@Wy{LYlYPdkRUDu|%
zZS0}GS08W#aA{y#6vf2EHb#om#gFwR)IwO-h!l~xuU{K`dy7UzMFA`N6*#-d`6fTC
zYU5U%)r$lFoveIkXez$%<HwJIH&&39HHLMc@;Ud4w~plP<AL@3yOLKlBv|jhV+s>v
zx$a!e!?QX@zPFdtaHetQM}Ut%(@y835UE$~aMQNouW4l2=s_11P(8h0ze)-8lg>Km
zDVb*it+pt#{q-u%-Dh|l<QK!~#FP~K^SMft5(V!tF!%u(zq`F%jPnG<5wqR|*+{)c
zZ;{i}Q*9NM2kEFs>8K7gC%iUNd;-XLX<^}8hJ4H)ki-Uf-aUW*d{6?-9}Vd+D<yOQ
z={{x}|Jlp7?<xrinrjEjDn2}qDz2g;ut1debK_oMW<i7IP!&KpoW1(U0Mng_i{b_9
zl{OPUYF%wtowT$l|NQxr(!adbc`KRz_H8`L;7e`5QBTj#Vj^2xTTKvZ{yp*cTdnv^
zfHIC1^%6wrMMP*p)jK^tkZJTj{Q-n>zHa3uITqkmaRJ@7eS1fZs(<Mk5Ey6-U}kV-
z`B!!6o~yF5vbwtZh*iG<M01th3}(aW{y0_l+40o*Q&8pT^A=whSR3al6D`|%QT;ps
zGI6~2n$*1rTY(oD4vvn-cR!^JuVNs<muOp_XzB-+mGOLSYh$>16B|ft#CLkyXmtmu
z?l4eWet8{CZ0+uTT|%W}=n;xQtUY`7Ov`ZOzrgG|*PNev6%umkT94%!HhORE?|*|1
z;f}+6$BS;@DgQy`8e5@*UJY(re_Ehyvaip>CD3n`@!hm^FR7_D__7I{33MZYQnDx!
z?5}`;00gP9nRv6i>tq=b7#!T%+KRQa*w<cW(VuVZI&NK=nv#Nm*g*dp_7%{oPg{eC
z9w{oeftYHy@k;>E7X973KRvqNaa4?5K<W()*N+(vHmAZbiyo#7Spf4`_os`^?RdSi
z_<1*ZtO7I4vQbYQuU7dBGRO;>Ca3?11$`Tz_2pXPS%Oia%+Wkeu7?jF-UU5MFfpt@
zQ_)0P8e5V1DvazJF>w<pV-Tp(rDlDm!-e|5d_jPIF~Y#uT1@sS9I}y+zy$hs1jM+N
zJ&)elJN}?I^ThYih<fr*{QAZ3wq=Bai|g3-hHUWLA#3}|BZrlN9JHiiU4fh0v4$X|
zb!abuY-G6T(QOeCk!tT#kH~o-^WE3WhjqrQopkznI1TDzfsS-?bWDeYA>_JYRez+c
zLDyea&H=NkZ<b8;bL!|DkM&-C;dt5#qe+~Ey0NmkM)apooxsIY?f3v#eZke0pU=L!
zE(zO|8Svx_>!LpdhqjHU8rBV&7AGJDxou60*KVHXqp3){QW*;i7HD3+Lp9^e{#b+F
zKl-vhc_o9cFJ;XM9=H7t$`pZWPz7xhghb4Eg|+2R=hxqW6A*r;pr-Zw*)yY!U)63)
zslj&bw66R$Gz>aS)gGMrK>0^RM$RtX4KPQ|EBvea-w~U6wX?gs6?9r!{fD9A$iC0C
zY6u%6ur(i4i!9?RI#JGLOfT7u=N?v_MSN!b%|{J2`8n#wO4`*=S5C2mg=)xA6>t?h
zxyDm`Mr1c2h$XC0x{L$h2@A{96}m<x-DfF;_g<Sarm`gTu3-&CRZ$=h4o#zt-}=jw
zSce2;+6fAW79*YrA{d)}hNr?1=Z8MVv=R7fdG^9?T+2N4^2^gDQq&A^g|0Q_Q6(&9
z%paP)Y5^~UFI7$WJ%7z7C85So)<fosX;&nuj6wB!`4X#a*&P@{4sq<I2er?V*nB&#
z;kY;{JW1nt|ASO%ZZjE0A^0m7iP0fnb$VWvHyTP}9R|0hVisYR%;V+8z+Un_j;m%u
z;lSKyiI3q)w*(TTn>0K%y7!T3j2>VWsi{}94H6_iDs0Nz^D28GSGG(M{mi##i&XYJ
zuO_?-#oVyXjFh4V+?RlL=X$`E>_3v`>bDE-dKp}4zB4}Bnp#f4ASF+l_^4Oza~&;3
zk6bTLAaTnjlDL22f&X*p^Z)pCl`zf+BNdQwRWb%1%M7DP64URGrIXrptu3kQq%A_s
zlMB>@40Q~mutS3IFI@_%t*uS(CRUmTS$YBF4Vf6!3!vrjAwjx<WKlynbKz%yKhQv_
zy#HtD*D<)Gu`u5m6%roa&Q?@63+Qq%@}@jEISf}zq(jM5fi~~ad+c1XFaP-Qm86#&
z0(HAT<sl_IJ#cQh?vOd!^~}u7WTM77jC1ZyU{Fwt5jW4_Ht4a}FVXP(LT(&BWEc&I
z=6hRk`jm%i8^q)kaMFCrBZ-mh<<TvkoqZZ11$E#BI}iozAl#*V@S-DNV`mQlo!+Tt
z#mAOcQ4+Mk8mDE|)g5;7i*j;uFGS|@3VMJHX`ZAm1F6jWdy+`)Wc%O~c`vW*yiLT2
zFCHpPzS$c{W+0rFPwHA)Hu5-mwb(ziEt4=Uy>{o$9Xvw9fTAKUX2rM*=_owpk(`_a
z)IVZySu{005Z)g#L3}~!V&vni(4htyw@rr5>jLsfUcPm2*f88?qNaIjiq78Ne&}9R
zTPQ`k>*gdLKEC+D#sui8gwwOSs&sU8?1l|A7?5cX4%$I;f2^lxRoX*sTX#i3K%i=;
zS7>|k<t7I5kyHQ89g}ZbtF=xwqI-j?nsio!?tkWG-Q3)aK)OMDLrzXlw?TEEg)A2Y
zLl$&e@(rf*t`a}aVAUPh!FwDI;|m0d9gGQlQVtGxF}RtTgZ}>gs{lwCG}gJ<*+-FB
zxR>UGh^VtIs7gypmOzgl7*MzQRrTK6+dDryn_iar=1o+4doX|*b`}<6s1$$KO8fqR
z8ARCYhzITLI6QPq;<ta*(9pon&i)Ka4Cq+TFH!ToWpbbWijQfeu1@;yA)}hADkUXl
z$HA1(lxaNEXofrmGc&W!add2Kho+%ddG9imcBNQuKd!nhiSp!k)c1#ULkmO)hFy`m
z&4%OHn3#6xj!2Nrs<}%G^YdGwTn+Td!tdXszqp`s{lg;RQ7JF!3H9+gj=%By)=N4J
zG|LW>{};{!-fR%S1soR?BIl3xR+l$7`(C}mgqedcv{?g!{Wn+Ri3DhUocc8%0MMmo
zTCjurgj_vKDY0beuKlbONRj<~<M|vst5<1gz5~T+53SLl_eU;616z)YBcr_DE<U!(
zJ@Ag<`2u?XQYcw8yaNEexY{r`$kb~*gMo=B{^MJV3JKUXlHjl?=m-39xYc?YXecyv
zn=YuFe5I7t3PvP^f`S6^4GzWyG4Hz7WZgArNt(gZwLKF|hl#)rH|C*2HTs;tSgk%g
zT190k)8*^el7n+ckepr17y3YUgE~s+KFUN3VZRJbL5&8uY+TyYy;s?IS}=L1XY57s
zU~tfYwgAq`ipTcvfl6D$)w>y_u+y9b^%IXXax+Ib)9itbmH^1b{Yl}+>K@_?z;Y%x
zuTTOEOS7}HP!eB#`NEA*G>YW>{9grmN)Znp-%#<n#l>I%M5}@6(2^#I`CM;2KNA89
z(T_zflb(y~GT3h1wwiJ8fK|w{_6gUst?*(2U2DD!^x(j#^de3py+^*dOY50F1ig$k
z1<KBWA)5>+Gp!1%YsmE0OzTL=^NX1ZpI$+S+B!T;0k9PDEzqsJ0iKkjmP?l}2g4jL
z^d*N|^k-_fPFIZENQ#SNkdTl(AOZOqd<kD+cSOX+y}`fAJPpPXJUqMy&z^neRj?`^
zWJZ?uJXWQtkda0oG10?mf59xj&>4q6^PN;;dlOwId6)MFEy8Q|Lq*1=VK;VP>t7qp
zqhMrYyhcg+C{d{$Zdsg`_6piNVBiSx@Qh$nLNIlK)vXi~{`c?SnPfS&zW5@CJAGoB
zmiM8lFfcG!8!f%H=OJSDJ+>M8`?wy{OLU?MV2Gg+cH{Q<_pg51_U6T0Nc5aPlYsMz
zy6D;A9N#!oC#0zl0JhLQh^)g*OJLppm}SAbo**p^jRI1B=6Qa4z-Rf7IW-tFwYR^6
zu?6*GXc55Q#%O8#f_IK!ruLMJ1>UuOQtP<-RP86Grp#b3dhz`n@?HU#3fdI(ubS}S
z-~U7tX1{$qrSn-yUVZlyLr7~DMK$~KCI!k8YGoFhBysz<Z{MB<VtNE3&St!#Kz8_M
z+{XaZ{>VFu7)VD)M-wc=_7BO+Ghsp-c1{8kWm*n<dPtSqF*K%cp!B7+Mcw-koQ6r9
z(ky)LPYyAPJ}$GGzb0r%0rai}VfUY?n`QiDKU#^Hp;VG|u0rBebGk8n(%Q5iRw!A<
zaW|7C;b*?`lHzO;+4G2aIqA|!05`JLbDSB|vPLz)YgvZ^sFAyniIJjO#Uc3KJFHNq
zj22+Z^7pe3iKO-yk+x7VS0Lt4F2Jp4nb=E{o*mwbBT#u$HC0UZx&n=>Xfs;9-cXoC
z`GyG+HlC}wxH{>lS%Y;{>A5M%%ScMOy+#vF3{y?blfn1SuPY?cNQ~B=3z0AX6p)8`
zwh;S9N*4|NdQMfUc1>Op5EvIH?@$G+GmVh~isCW7RZQo*+SJwkU{KwhGgh_RlYuH4
z4a7c%9+(d889UxrolFbO1RgdaIOrHzTGh!XEexCN#puy`Z|={;6Q~yZ>1(RW((@g0
zsX&M30aE~ekI^`+YHQXlLzP?G2Pwt;{$!zAwbd(>{Bf8i>e>9ug8)bRH+cE<=lA7V
zzB6x;@qE_wGXKWygkhKYiH%eu<ReT~LUhM%nPG-8a(8ORfAPw~UH|{YX__(=^i;#G
zm&Ml9G&J~nQO-QLaovssokh4`zkL&|`LJNOHsLxYvaoa`Aiy*a&KXi;*-K4dHNW&?
zTn}+0krRM(wuBK-zaL1HM%RFycp8|MrMps${4Q%+?%LX)Ac%b;{tLX^{Ks@YPRNpI
zuO{4c9UvN!tkqaq&X_QCjJxaO6vKLs@BDK~dL?>!#;X8QtxYvfp`Pm%1Ad!<M$hJl
ziR@GGUvX2tvvYL~HYk#TZEf&!ofnc!R@(rJ4l}SF8bC+TYp*J9FZLzNfYCB#?PRwH
zxC<Dy_MAJ@V^vj5I=W<?<SYv+u*3cU>kLl0``L+mY>#Q}3+g*hrONMhqisA>o;ySj
z-%&j&=tU#6_I6y4`i6&eRvdW+J~3)p=Gsg=*ic-ch6Mw3yAEg!ZCW+$O~7|`b)^AE
zDxLQs!`p|9PJ*;SmuTOhL71rM_4TpxR$u~fr=ND9xtLh+@8DdbfxJzauU(1*4kai{
z=vu?95Q}7xiXN}sLz_#{%mlchh^eVVMZJ#Dg+~4(d$YdlL?Bp9Qp?In!OP=zI1>zc
z`LS6%{7xK5x=HV2Yw%7HLFe8|Vd&`xkYENSLx=54)$eQ_49&E57TPe0uCsD1;8w&)
zfA|jiswgPlR-AcxK4@(7PB3r>dLy*=?1SpzaN}9v+L~3qPB{UXfYH7yNY^F`vD_H`
zI7AZvhN=l^1xdjH^$<Gpjrs!vFaS;;ZqH?BXFmY9-D3lTu;1M=Ci5NdDTQ3vVS3Q3
zclh^jDi9kZ)sD9eJh!E*s;g)6iW*vg+xTMCjEPY6xhN;_`^6Y~UmG1A)oSn*fD-Z+
z5NL5PAArIwV1@xrTmy4AHUfsh`ms+-8U08E7y{{hPOijdG6)G#L!D}=bKgM_pi<Et
z0tCzz@GOFahISSMx~1f|GfM0}I@mNcJAaX<#!m;81M%ISYj5rDz6jGx3FQh*#5j>5
zuU|K(i2H*T`h9%-MNLgjXd4*8$44HD4Ynv;<a0)b@pO|PtRuhE67hG_doVPt$gMwr
zTEI<e2i<*y6rfJ<=w3`mg^b(O5`l|bt6T>S;305!R|e5{>*(#R7&Wz)kd(AvEvOt4
zAky=^NQB6-xOsTIVgi*70|BG@*7mkIP-RF8tnAR<sLoKt8U7-(SsW&<kW2o4MVU<a
zb$+{P<bx`DARw#}Wsrhd4I^=5c1pY6AY9xZhk=8GXxQK-2iU<vx{A!Z`}$;{=OX7a
z(6bgnV>;MsfawWWuW132zGK{S0X+3hM^(9Vz8>`u@uQ~kF_y5DgWq@@9UZrSIrbR?
zKgbXLkH^7={`xj}zoFA8t<GmSz1piNp_WorMG4cy$;pZMPI(^_0cc0p#|rE5tpPRV
zR2VPfizW|`>cChDxPWZv-uH+IV#K$y@;>xhTR-Kww5Ld7K74@Aiw3yirT(nTL4?;{
zMMjdK&4xf%RRMS`Sl95P)_3PK&+GX%yS`2|J!`E6ZwRyl99Fe<hlBymnH6X0V52-2
zIsPI@>DWAqtstFa=y`6_3A+(X1`##`q(K33>9qV48$qwx{Nkdn|5}`7p`Srfd!}MM
zx6_h}Wh`t!=YNof=Vvch$riv~b`_R|A3BXmk5vvdJe-`I{O6EHpXMndcJ}t-gGI{n
z%F30TdDc`_lr<2I@IJs-RJzO+I=aiyYoX~%G=~W$MR=V7b9%OF^Rn29FN0*zh@OVw
zIcEVxCgeDDF9tOFTX-gtn>TM(Eoa7aKmCe#I|CGcPT{}vQFe}wt%I6|@4!(%n;tGI
z@#qmA+LRt|Q-cp%_Yn9^8|xyFIjX<{UkqfI)kF;$yt{xluiMn`X@HTJiJ2KKpe#++
z3qeESTf0${H(AOJ&dMf;{x7CIRFE&xdtD}srWuxt`&kDul6{8=VbjR}ayAKu-3!>*
z#%CvgRpe5ET#x0kAUWGfK5v?unyS%1+szUa&*~qnCiLw&)7Qze6SbaYD;kd+85sfE
z0M-4MWEOTNqz<jAObtPZCt(qhf&&F|a`H4l>?(52M%>fW&Hm*EYqz<$WI&Sf^z@uw
zUA0V9CV{3Dz&)_6!TJZ@Lx6c#IYgu93f}>Syx7sxBMou|`URM>{D!kp-9<V>iIYEX
z$k@pB?SsFP0S+@BEH-J^Sv)>I9(MZ$MI$0H@g20K#sHGbMbTVc#s}4*%9DMt3L@o`
zcs?0mJq`wLvi9TPaARh+8V@>e#QX;6HuA+7>&A^6`IVD+C~^?Ys@O$5cAH=nwEAen
z-+$zFppjCA?(m(*>N`7{s7@xjn=iyc$+{LP4Sp>$GJzUWRLBR_b{c*E|LOH13B1Lf
bb1ZDVp1O9|gC%&&36Ygnk}8xidi6g5;R1KJ

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_boost__inherit__graph.map b/docs/manual/classbayesnet_1_1_boost__inherit__graph.map
new file mode 100644
index 0000000..6e4f09e
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost__inherit__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::Boost" name="bayesnet::Boost">
+<area shape="rect" id="Node000001" title=" " alt="" coords="111,226,227,252"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="5,300,157,326"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="144,264,97,302,94,298,141,260"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="181,300,336,326"/>
+<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="197,260,245,298,242,302,194,264"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="99,153,239,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="172,194,172,226,166,226,166,194"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="100,79,238,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="172,120,172,152,166,152,166,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="85,5,253,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="172,46,172,79,166,79,166,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_boost__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_boost__inherit__graph.md5
new file mode 100644
index 0000000..0f9adf1
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost__inherit__graph.md5
@@ -0,0 +1 @@
+e24f4aa87c4b3d0cdd0c5eb01ce7479b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost__inherit__graph.png b/docs/manual/classbayesnet_1_1_boost__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..afd6d52b581116fc011aa84473cf2a95ab77d6f6
GIT binary patch
literal 15507
zcmdVB1yojHyDhrtP63fd5JZuZMnC~c5u`y%z@SS)T4^Z>ML>}jKBQZ^MFm8<8>PGJ
zKHvZEv+uw6KKJZ#$GGE+dvv&PI6l|+u6I2#pE>6ns(xRAgpiI9K@bupML7)w!O(_3
zD)_kYFHe3kx55uxGZh6n<Q)AwrS@|yg0LV;a(A@cKdg>>>czQCNN?=BIrv52#-QLQ
zqopgq`quK@(-IjjOUY<%9j0F+Pe+q~s*JW58*W!r8RSU~*tts;r6xS7=IZ0f|2oe$
zlf$iYg;f!UYVPXKpQmT1ckZ$95eqwzZM`tM7(Wqw*!9P=TXMZh&6$iPfLsQj_1`W{
z50uw2?S#3wxQrA@e^-;TE~UpEdCh%`*7q26EU`*=!w{j5@sHDZxSKB<a`eWFp+UHI
zxl&&#TR576P5!UZEAq0H(F(P7N;?nSS|W0pkfhK66uFFO^#9Y<P$RR%`A-+CloXRn
zJWqdh+>>-mI%D_gK)TtJ(^LNEe}6rxqFUXW|8elc<m^>xsbJi@cWG*$q~43zGktYi
zCq*hfcCQ(G?`qea9WC=E+`I34R#S6}+qj0-_iX#q^z`)0?LXb-t0QIjWMm41`9_X^
zf3e;=KiR(TYut0oLPh)OMPB2UEY+kPp4p2;L`1U6%CBX&trCN%uj@>~w^q)-duS?<
z;IK8P6wV+<xn6f{7d!A`sgG;Sdw+bW-d8#;Esf9T#NF$3cMzY5sJSDS69Z{&ZPhC>
z!}<Q>M^Z-6)|OL7X6Bt<LFBffA%ljdrsMHy1sg9f*=My+b}@gb)9#K`yV*ZiRwiV0
z*_gV6i;Ek>USM4N{ne{i;(vbp_>rDvNm}vninR16o!qhk_uT&PL>GDbjzz;-n@&!=
zf=5^SaxTQi#4w;bY=kc$1t#}r+oS&YVPIKxnwU(|FUcCYkkSi>KX~xKC6Zalib_e~
z`t>lxYWG}z=~=dX3^57GV>7d~@fS;;j7r5{zJx!1{MeP*<jR#Rfu8$o5d+8GmjjyZ
z*tJeiPsPmJh&?<!G`LzFXWNRhvqRVu;^JC<{Zc<VKEBDq;#cytn?vdT2hnIpN5^v4
zpHFT|xGc4-j#k97_x}D(OG6_c+tISOI=Vd{Z&Hra#C(3B;JQ2zAtfcXGFEkyj6w8v
z%q`D7?%LYgDyMnnqobqWrhE?H-munq?4rhn*K4-#U(5VEJ>9swJQ&L!&tvo*kIB73
z$7FZ<NXBJlsL1PNv)#6NcX!;Fd8PlbU)O{JiDHs8Sa$jL^XJ^!c(u|1X+M2ldY$Fs
z;-bx9K4aMH*P=E<d|#`odPYZ+?CTCWL~KV|@R+>{8|y5dKJ9I8_Fo>zOaJtVd4FYC
zGgr+eTAlhvS46-yq^-4;pO-fZkBrH}!GZ50x8CiTmB9k$3l}cf+Oyl++h=8FI*yjx
z?rd+H-@S{YBp@c101wH1{kr*s2NeFVULAbDUQn2k5pe0!rIns^yxG~=7kexE@W90>
zDSp({)P}_t1b8HLa>W8#7<}U5i4aZqR8=3FnzD%4PuNtb7Vo{Y($Jusbf1k756+bl
z5*B_3A^s<fx9(dzlV|wLmoIO<*veSt|F^xU@;-K@BgP#S$nD-u^<Z-mE&h-zB`PZ`
zdpI4;9K$~NMZfuYt-7GGPOD$keZ!RF%9W0HD57X{6pz{2$>GNSe*09T|K`DL6dM;8
zL1NbQy6?F}T6%hPQc@UX11S>|lc@KRU|S?3QCRD%TF-q<q}+ZolHdYILvQbeYS&d6
z*n}tD$s{pwD}{Uah+S8PFk-H9aWyXW=SIiJ2fx@}7#_(ke!i&T{^CWd@A(<6;4||3
zpQLOnI={-v$(eS25ZfiiLX_SFXb?ggV<~;nFTq7t_Wtpr^^J{5)zs9k&L4CR+m(_k
zymOXi&|fI1KNG)v`SR4_;&68P-QH+*7mSY*Zt@ThHqB5GzIAp6Hkvl%8&#7tFoeIv
z!ZSPEns;z^#zNdZJj`ZVLWk<SCAevbT-U}zxiqs7<aclH14F~`I`88&xAlp?<JBU<
zwj<b?R33XPp%L^VX7IKvcLyF)Ffm1rSGx^ne>QKAEI&`W$DyUAHDtRj-}yo8g6~o9
zr;VfK0`u9n2-s(qi5GtuA<jlut81l(a&HO>Qe|dl9?XRCTJ>*@yG=gYoM~mzH$RCO
znEvKu7sB?V#(uIc!b($6vMS>{&fMHwgN<<WGeJxwl36;^Zv5-?-=1{6LQ@Q=FR%<!
z1fPJQNYd_m99KwWWLp5i1*l;*@obPN6h1yakP@Y}7|u>k>KYoapqiLMn!UgELcqz{
znSz-)>S^)|+;oMg@-l0_lN0@i)B<}W&)=c=V4vGFRpOWax#ALd#*MwbHb^aWk*4de
z^*VGitai;C2o9(nY%pfT!NDQnd8+VEL6g^c+N(Ho2@|&T9j^%~BI-DU4N>qCY9$*R
z8&+Li9X<&O4gzK10wia73cZw<=q*V}{-<3GEp2ThO&buX@;*LNl$4aWDH9SBLc+u4
z%*-zT{{5SrnmX{hZaxbO3lbe2U9RG}QZ&ec&_>8p(a?-6NI(BeKH<4u>k*8>A|i5e
zczF0*SJyulZ26o0`BEQ&KOR~6sGFyEq3-AS_>1p&j9%BD?G_9bnd3qAx_0eaq0gzu
z7o+O(E^Ar)(nxxvt_b}FnNmU#r!*84$MEoQ3rI>5Tr6{QbNvSo?vxDwoNf+Am%_%z
z#_-V4X^2!>Dyo(*U$|rDYF=#P`%U^B+eWxvprrgeKi>-R_xqWk(^6j!H!tt!R<miy
zv&FTwuCvqQo9yfXxjK0$N6h(=GV5|zGcz+$w>86R+nBkP;Sx)Mgv!T1XkzA04!2*l
zGrA3p<VYF1q@j*Xf=L-gpZugv7ISVBR`d4m{`M`qf{dg;$CB>i4FkE@4mmeBHxGCB
zLUerQa(qkVMEzURaH3XrGwXiT(Ou?5$%XX}sps)Pn}8~d5;{9xuP@kK=;-PyH)1M-
z(j3VkR@}9R>Y6&=XeJYCvrcS->KW7?$!NV(R<K*9^qWSeOAFn4{A<NKzFSMEeGqMg
z4lh<pY?l#fQv89wH@@wSx~<0+z4rZb$fswSeFIr%UmxGOgHd<5K!0nuPt$$7Q-mKv
zgu`3P(RrxCo>@`qtO1McTX&8ig;>^z%;P6dW~%-qH<xrvU4MBkfGE1;{DzjhyC_8e
zE{`m}Bjd0JwG2LIjQYP^%~7gzeL0#Q@hkzqUIw6IFA)bZE82B;b^_)|YSOlz&)XlZ
zdi!?K=tpOhDc?zo8;K15$CfLOT|1IqsncSC4kS+Zv?~QM)vg9|0{FpK=nz2#{78&$
zNk+O5zsA?U`lGVfpYte%;6nX$(ANsVF~v14FTWE$v5P;APoO<r92dlSn-+tXdNb~S
z{8P+K%nLFq85Cp6690|R)92hu_`!<Vgz*^^{MgrQ*g^=g=E?mWyeUyl^W27t{u=Mo
z5Vui99Ji~t${bi9f28J7)lr{zD#kUV4QUYPz_Az$OLYmq*z_2Ek8})vi!!70PYG|E
z>=SEQSn2NMYf|$(9-yGhtNP~uN=>o^lH~H#=`(HJzl5n0uwy)d@e~++^w}w|+>Tw{
zD=(=~rafTS3RLM4Y-vKAy?aRlw0p@%KL`=@&=w!_8n#{N*b$(7LAX&W!u-<uNg!zw
zo0gJuKSw}1z^Y1OHxhGtLM=qy?{hWoVVUf7%$yIZ=`pz|?o{fsJnzBc<X}EM?>;uQ
zOh{W|^iSKHF<kWzcnye$PcQ!GH}|h^@&9Lk*YLQ=;sgDz?pUcV#f>q4F0M>P1i^Ry
z@x8B_MmH_a!@4De!sM?}aCTnA1Ww2&%fta~E+KvvmfPzZhHdz9=R5U&o-Q|90_PSM
zWO_^YF%+}EvJhxrgjbX0M$i-p@CmSV03(DRKI;cXng8{*3`fFkjbWiP>9gCVua#bh
z0>(avkHatB#BB~HYhU--m$0y~7|JrK^`P#SKEL(-`}f4T!|koDjg#%}^qQJ2@ewps
zZhVE~etx=-#>w0!bu~)Kx|LD{{WL2xtzko@ma!9$Ps|=YdZehN<mi5;`T73zTJ?Gx
zlq?D;#hbJ3v&#kb@_Kr-_mgiCAXj;K+Fny%w@LkDGe1ACsG{PZWr_GzR*Gh1WzFo3
z+AA0vGeM^xXYalq@GJnZgZ$@=j9(AX$O;Op(iR{D?yFa`o$CP6TO}?yRBLZ-Z(Eib
zSVvSC<kdJ#%hX1d=yCt-?slu}y#G<0pNp$w`fCsgeOq>Rw!tbfz}|HEh|5Y(9zUkI
zohQEZkY?|wPu*8ZKu|C)G&I!pPmcYI7z=&<OFzDUUy-U)1_-{tHcp?ne{?P2M|HIN
z?*9HC*uB4ti%OYP?Gg0tX=#^ZEC6}|cv@Uv@AmUUx{@W6*u@-Y<Ny>7kMJjTqS1JT
z{p9_adnzjCun(#n7e*`WyW>rKhH2z{PiC2i^B#&E9UK%wMZD!Og(z)7LEqWiTloI=
z`r`7kihpARt8CB)Jh|&=&32bWPFz}WFy3H+iCT=|*XLZ!?o${Kz59dfkCv`uPW7ZK
zSl@{H`Sae|L~WAAs(PNi{?Kx4?SBh#e+|e(bLi^ILf<;?p@Ouu^xAMqd+MMO1Q_19
zVm78Jj4BWr?&yI856>B5g1y7%^oXCIzh@73Z*T93fdO5G?WjEbPaQ3-H|(*ov5T{_
z&Bet6G}P4mSFeT?)NB!|C@a5@j&5X<^x%_{N`Bg%oLNx7OGHSh_uxU}6_s}mzf$h7
zUzepu($mxR4Gn+x^=ZNI<Fvid={m}8ZJz^3bTdL^BHP*hcyCpZmbiRm+1WdLpn{uj
zNmKST?+76xA(;<m_EC&6EO|n*UcD|AQ#!hjqJ!}HnUTQ`1+8h=PEf12x7T*o*lY7H
zDJ`F$PVQS6yRxz@Yo0GsYHDZ<rOM)Qu(KD!-~$-FoFz%jnd7r+l6=fq@na&Gc@jQ-
z>YkY~qq%s|8NhIONXS&e&8L5%Nk9JaZnK@)Hv{hEx@r*dMhwQzymv4dZDz(B7msob
zSB{?t1Ynojj=p<RGQ8&1FWWy+TsX+7a5So(J+kbn9dW$B?v}l-&8}sX^dZ}7THI|d
z9Cm6bsJXcrur-l?qn}Z=E32p|EfyYW3rwQZ3k$f&#?DSlOX!6n!1Q|DG-$-6nRO2X
z$@u&^y|R+l`*`o}`b2FH%#$`Fr3A`cJ1fH%=tb;WU>Od}c@>v$-D0SAThD)>2Ho2B
zTqNNhBue4v6Z62JptRCbDif~<$GEDK-usL+yvD>aLT#hyl$lfXrJqrpgqJWn)XHM`
zek>Ce_@kra<*-dq&ogX<LE495{Hsed1Y?nDBPOIa`fCt!N=h@&u{bVGaz@4o^fX{0
z@Ca%la!t0UyPFJ9T)BwP{rjYlbPm%^IK-C(uwyyZ<n8QuW@cwMf8Oji-TB*7?n)B$
zN&0hcQ>SrKL_a*0yQil)q$sWU^Jfv3KjL}Y%d7{j0?TS2KPpf|<ITMa)~=Q6XO}Eg
z$^xM>lv`g0@bQvS!qs$ZuH)OcZ+;MfGP1H52-HbA509@m{sxgTqX&qe2{-YIii*nl
zybh*=qd$F$f_L{u?#UC5%WQ1X@85?2?;v;g?ldGRK0f|!3yX}^n9H6kWdw+PIz?b$
zVEG{#qj<pngl9q5BVJx!ZlkYMzNgD3Mdt0K?>nEs6kvLKw5wO`dL!BQ?9iaw9-XJX
z5qlN<-WO#AQ|STH)Oxzf%gYP!@x8(Ie+eu3lAWD0Y_qU2-F%6hykTm}w5_GZVc?5C
zF(ILujt-5I(?rb+><0V#({lN00s?}att~SkH!KC|#9WrN-o?lFniV;0Of^1tb9;Jz
zc6y1DvPnBvr(d*9&*f({yZL_uC#!t)dIfn5N<%neL)X^Ub~ZLl(E+2&`$i}#XXGIb
zOs>0o9nojP&+qjcPcB!l<g%h06rPZ<RxZ@i8JH5RBF+IgTGv>Xl$6-UE94ng#jq(v
zekrL%-8_&!*^rIcOw8JZv3nZ!h|YV}+S@j!G|<F6?(N%6i0@l&Yae9G`YO0rb{FG!
zD#Sg#?YRlGSs8XzWXkxV2OJ*$`Bb7?V0`j7Ju30!Fu++U`>QbQBH_OP!!Wq>l2IhN
z2({SpBw=81Fq@E&_PRhoB^Thc|IA1+Xu90ls$P>RHKauG$Z_q8b+qs1H^24Db6F)&
zZ7vwG_|*T8etu-QP8UFaL*0<_oHD+p9vVA&q}7S-tAJ-5vE@CT?RXb4QVPjGPDJVG
z)LK)fu{xzGS8_Akha<l*ZU=ul;|=%`t4_@mCdchZh&-X)ps!t~Xre%asoxp4&-XXw
znW$<oZez4^kTB}Vqp}WPXt92fD+dU+wb#ZbIQ0(o2-7&zjyC<Ns*I?NjCLh^CV4KR
zQuaUxr)5d!4LNDdxbL)6)_PjS)@>dnYMDdZu$TM|c@E*S#|QHK+i;^F510<hFvH6@
z$ZhWtJ`j&%4`>F2x6GPFZfc|{D00to&m-U&HefKG$0K&Qv{XEZL+;bnQaWn!diqqS
z#0mjc2DXQ&rc7EYjysJL?UFYd0v2)=L)w5G$-g_T)Oy7B){p)rXHp3}E1j(CdEk%t
zyIj@!d7@E4gDPLESl#<&ua#W-4!H6k5V7-h5%z0@O81l^+jL%6J2&e3?=NpmxT*df
z5>~0Miw8Kw+2jzi23%0e{y*u;1?=Zr4GoR^Sor<bq`I2K7mz8MxJAQIl_OW6Q)_p5
zWcvE#*D>X;_&1vF05x*^w%<f%2n~8tjpsEHUINUhD$^f`CPiRe^N43P@caE+!?4av
ze_cS1aqj(piQ#``SU;TFzwG)b5qxmq4#h}oT_dp{@Eg!Ax_?Roi7uu=r|2|%pt@%q
zpQ~Fi18i9<;5O3Ojtp6sw5o6Ktcad(&fJ9_qO>mHQ&d>UmywYndg~mZmBZXOinzGA
zz9Y8bfVbjp6U!Pvi~v`fQd3itkW1OATCVl5vZ+btjT}%vR;twiLQhUkQnY64M0M5G
z5oTs)T4Et-XCYNtDE{J5tNzS>(YgNm_3NcEvoE=wFwCa_qxzss@^CKpy^ytz|8~Ew
zimZ2b!8&4Eq-QFeWcx4?uw<bg_r}&1N~oZAu(jvUg&VOoF*o8`&F%nf!NkIvUS19Z
zEQ)T4$eRxz!Y67y*??dHW(;`ciwF|Sq1pr$-@257iYkCi>Ht9;cK$xtS?t9FnkcBg
zUYdqm&vX>iu=E*)$IjoEKyi+FEa#zF8^7;H#_$X^r+cH&2>jrqL8OeY;d!fVCtL=N
zDgjk6d9Lu=3>9J^g*L+i;dDaZbtZS4Ni4J99UYk#bOG#Z1YYdNyBo6V>g2$1Zw5=B
zVDQ%NP<nZL_v9N%oSf~~yZv>^>6$2}kr8dIKR;b}p7cGJWOM{9_P@Yo(TQ375)w%h
z6BB?uXQAQ${qv{&^=rZy3nwQ5Z!a%B9i2A7uedlkn{RcEA1Nsj+!PQPN>?CjYj591
zW6<4Q^aOtW+O<lH4oXrw!4P&dEs1IR{JCIQSXe@0;`fGz+jbK*!*)sR!#SFq0MCYx
z-U0(GGU1*+G5zKZx%}O`n`MK>xto9t%W<uX27`l+Nd44qZDKn+J6Ac*%41FexAJ1~
z_Z6S54o>Wbu`$Ey0u|_H7<|&w^^Nm0A?x+$$>*>E-HR1%gwr#?JO6J%Z!8l35xqSz
zN*#Fv4}{)@-YnJJ&3zbFMD)VYOkD}86ZP18{yR11RI;R}P4^=~y2DTBC+%y?8j@P{
z20W2()Lo36?v({D0jmws^N605jI4bi@8Kgp+Cu9=9yF-uqb06{AO9KAL9h@4Flm7g
zV<5nU!T2OUS?6ti3*-*(UnNh~Y{n`n>}z*vV8RQAq~taz#RoRAq*M1a8HXd50Jviq
z8Xl-g?rQnBYb~Q%jhPv8N|tDCl7!#dCm7dy3}<m=nwA;BN|wBhP}Z;KFB=92SP{LA
zjm0V%CQdKflE2#?#jH?aH;&E+ZoNVzCnpDV6Fej!AYh0|<nebZIRyptrT_vET4?#r
zu>HQXKsT0s@+51uMd!aqbGe_MO{=xzu9gkQEumMp0?d>_o^V0CRlCfxrxB{xx+-LW
zl@n!f6{zI-AMscS$O-=izFoKP{ObJYK49L_i36BygFk=fT=<#bKQyHGQ18~sM)SAs
zZUq?`OvTGLZ(aaeQ1RY9IT%-<tT@1H!^XyD5fJ!IBfK|ceE|uVPhVxHL>R=M<FD85
z8`n19ethsj!YzNmL^l4~@UpC|i?F<Rfr|ONF!Ck>I?sD$|C@L}hLWWNb|p0CTN|r_
zaj0Xs<Y}*kfFslm_Kw5tKiiQKYlUUbrw)pW_!xbMZU-BWs>_C!fpIIaFDWd1gSbQP
zj+#fvv+b`>+V8vM_}nW?ou9!M%ep3qMRx(!4>Hf@?@Se!x<%AP1AD^9kE*J@iZM`r
zp*OKD+Y~H)IV6)lQ8%y2vOHNxvUgt@;(sU+i7HTyfpPouu#KITrwA$)oexDzo<<*b
zy(m#Kf>ZLc{}rC?RLS+m{4*!0JAVFbaqgB3e)`Fq2AW!bH3O@iveRBYH35ioR#vEq
z$M}w#u{X3?0~{^`-uw5fSk{sZObTyeW7FL(rQy7>H>u(QmL%0OQ4HE;RaKQo{EP<o
zm$3w^bh<NK-Rl+u)d;H`(M@wQ&eki=X%jB^(^p|0%vWXI`#efxGgw8*%J92#a+o~r
zQtMh))Mtzr>VEx<j3VJ$I39!Sa<X$P^$z+RSR4qSA73d~dnGP2O90UuG;(VIofe1O
zUFMHdfJ4a28BzSsJpqYCAw$1n?+t66>vrQCAz!ntAIS)!(Uyw91%Bn!BNr_LdaN{;
z>x%ezfMMb@LO6w*@<y(T(D{fnz<p!?0ou;PD!7Qc($;oM21k09Y@7$#|H-2<_*3(%
z7xwXY-229gOpgFs`@y=2jc?8v8&3FsU<HSu2OsFc%$C(hqJHWUB|9IE_>YBkC1nKP
z1)v<b=*Y2-MF{z;%kJEB?q`!ThwmS}b1id&UHwnKFEv|84$C}yu7eWX;qlKC?0u}i
z#0@B_pURD2kT6Vc?PlZ)^2#Ss7eAiOEr*h)8I_9Vr;Tj%e#}9p?jXo!0o^twV`7mY
zYe1#gPsN4uOC4ibZj3Ub%7FaHn?hl&|3_R${u=pJ^51;g1u*^ox_DxukaRB|@}%p-
zr98JAol{Fd#>4_#I}xBn-H1y{8dX;9^;k4g(6lbuKi57}$ier%Zs~#RKTYg63dHa~
zJ{JEFx;u>YU)&g*2z*X96@a|y05IFa%h~?l?24995gvjt+(LT+(EB$RgVI5RLf{M9
zLCD$R$sB&u0-U^w`3Dd!Ja(4?NA2TP?tsj7qhBYbu#g-?fZx^OCN|Sefd|mH7!%{!
zrH)r_QeC_V)B+X^tor);Xo9`S_uMBwM{~>zrscO)uB&v4O%?+Ei8`PO0eq0*>dzKd
zQBip$kYFVl$qoo@YIauh&#a(oGYs9o%55J8k8pEwy=*nJ)UuTgBF-s#d<0bBjP&^-
z8Q?^n^e!kS4ejlC^65o7%qyz7xxOMApDSM|W|vdy<WeUI+ctq%@~BA9VbI9!(MYM~
z#>PfNj^^h=mt`IFQcd|xry5?q7qp}VLZAn}?$&0@1z-<0S}&T&fsA;xyBrM6*B6s|
zCdhw2x(IYXf*PL^*91#YJNYAhe#g?13#}tLFWf^DA@DK18h3sl7|dtWqoibj_>+;5
z**Km&XG%^^-Yu_k-!!A5rk*bFJ-u#bZqEPg7mF9*6j7HYDztuylm#t6BxMwTUP$75
zI3GV$>BttRarMTH*1|{4d>|;%6603)E-g=57u4$H-tYN}eo&Cn)s?5aea~+47}tcr
zzFig*y984F0VpSE!qjuE3J=EE*4%=+*PuhDf%>VasMuidvrS)FRW%KW6bPEzfB_yD
z8%I`5`q0Y;lirn+!+sqWwh2|a378aMP1~TH21%bTsyVp1wS$7i3vxIX&}dldRb^h#
z2e|c%vC%GvQTzIc3!L|-@~hWS6`eRlG^Ws8-iy0jYiepjkctTp>xdh}%fT2^AVeL2
zRGDf?hh8?2!m}`M;~`X3R4icAD0$K;16m6qAt4&!LO)G0srT8vzYIKQ?P)Ih(ZBKc
z>sb7J&kqn?1{&1S{(2NJ#V^@sW@a3^CHGSRmy3ysJ?qUPLEnF4!$B`k=Yy0t-9KUY
z@*o)mDFBh+R<p+J2kEydjg5_I`Am^WMhV;)*pLR;Ds>n;fcvB6t=W)?FldWnCWBwk
z*C!ZRSy?OHH`B(2mnmszf`XYmvL_y;I9+5!;xquXu!Mr<hlzkrG(9`(58sU3242gy
z`>A~*+v$b8c$=JZO5ofJibh8>RW34!Ibkbvp$RVdkiQ0@(bwlM8`Tf>tp({E;W?&2
zbFG|>lyHFN_!A^v<PFH#VD|uAmfg1fd~NI!Fi$O@IoUpRxO3-D$m`clpzPWv6&yJ#
zruX27wVG9Q(hH%*({?QoV>gy^3qZBTgy|10Ra^aBUtf;`9d_j7g5tT{@|DyPWsn7$
ztjd}?^S0y_fknZB(dtb?LTHrK5&rqM^tnHe(N_d9_E@|!I*Uun5CW9XaJf3L)ffoO
z1@JbSV9K)_o#(lBP3FZ5v3%p&*MMQo8vHP>Uc1%=y9%J!Ps;mfXe6&L$+%3&vOx9e
z=H4Ez`iq3&8x>=(phWh)Pk#Fr2Wa2w-j&_;qgeg4-RSXi9hqK1uf5@?$hGEafcWT_
z#bZ(z4rL?_UOeIly`Ghqx0~iU#IQuTJllltxi>L`=r0=A`lJ2=bpwOffa6BH-V_*C
zQ3B)yrmjI^y~aN#h7uURbb!C*d;d^&(Mf?8L=VwpLGKbB?lsw}loSN0zXRAja%N^S
z7|zhSj%Gq#U4_vqM9Nm>Hqh^(7+APN9|zRW^9wXfd5SYfln;)NXCWn8KY#Lh4U^Fr
zD8;k_7Wi=*L)C7)XB)xN4ddgC72~e-=n)S+C8nmPKAWtQTmzuU&dE7jQGc43R|^$k
zs)O@W%exy7fz!VaZ^#Vlmiyn-U{gNYH*s+R;BS~7cxZnYiV?c>h*VNPEl@=&|0H{&
z<z--TVI#;n)skCaV&yk&K#*)9Vg$tB;?whY5AE)N#RR}DRwfmgog&c!i@onLJ<N@^
zKjwj83vM*ccB4b8Ppj)7?*!Lg$xRC+zgS3chFP~lXwTgoM!K=FF`Mc}ZFnKXu^krG
zPfB6Oz(@h{3@$HG*A=~woaSIva)gQh;NYNPaBxsKnH?etyJR>Veh4m&3?7YOn^p(p
zEL9fV1pC!xPEI@w3=D`Tr)LJTr`9$frN=YGPa(ER4(BB)Jz}5{Wx*S8iQM1cFAy?;
zCr9TwR4TLI8A>iv`AfuSyKx%jvV;-ZCP~QBNm>JMKU8>ZJUkIA^bKE&-~GYTu64II
z->~XcON$&huYS8)Mw2&50f^gO`khI%(EX{v?UGFC)#A)+0p$1DQ~%}KuJy1GoKZj}
zE*b?nU>+7Xbjr$<1^yPa)rHQdJ4mLT`70-i*Xh2|%PgVuUc57uWWJXPwsS(+;inqM
zI1TB)M*au$b2Gj@>@$0O9|(&OAK5AUW%*p`#Ru)B;|z9uQ*4<V6oNHR@f$wp9$hbC
zDhnC7Bcm<a`9*D5wReM_QWHaK;>F$Rd(+xGFQg5$|7z<RQVvqQ-|IDH4cQl*sa*?p
zG@X{oY+fj-Oi;>xZDJu$c^cOw7vZjqv5!^g$9Goxgo2Q5Kt4O`^ubj;D{Mzx!n$n3
zKb=T8;)G$7g|VLJsmIt;BJa2jm^4CIC@|TM+8w_|3rDWVNm3)*RVY-0FIG`c!ay~*
zK6BwFTWEc16HV*#zzdvhHD*j{%Ax!(LxsW`{ocAZtPCuv*BFW&SV<DF`0;O--kDZX
zZB(%Ql`^H%zM^$IRa>@TH~Lydm33bC4*Qx;gMapza-Isvf%<pZX+t`5FZWk1<f@Mm
z&xvbKzxny{AW1_sg~~@I<>O^7$(Mx4uaG}RT<RDNDH{^VUSz6Hpe;VNaT(pl^txMb
z`X%KHA`~Euzi~3-@hee(_SdfWN#@4k*Pfvv1{a~WMEqUJP#lErYt3uItL1cjK94h;
zCb~&ObkKXv&Z<F8_r)DsPHe?yl?&%_nHf!-)q&2r_}_)ldgMSJ<K59h>MIRGetIUI
zr%Oo+AxEHz2j}_7c`IOXq@0;=(qO6#D4+_GO7h$EL^bq@Tb>V8tm)c?o;$h(96jCE
z;jp8jM5R553%ZTy%zSM|0&u6=n{t26Up{Zsla$YlamOpG(8>FCJ99c&|5Nctrn1m?
zYOpSg-@;!z6=x`sr0hb{7QAdGWkTG$Cwr&Q=9eauaFF*T2h5oc1k%jk3vaXbB62dR
z_5H8=E_JM!7m%<nT~575C&(7+v+DH*d#XN_&&4RfW5lLG3z<yaYKgnla%|m}J$|IK
zRM|;^lIz_tL5S5^sDCC>N98l6$5`I>#jIkf3sG5+tF@-S5f*?dylzL<d?$nQuPsYZ
zUW7XR%kSzMgi+U0sN|}&o1HxdNA#B4vZD|$d`w&tO;jXKfv4W-P$yP1Mvbi5XgE7h
zLTSXVu@r}#i_>O(_F%Z=2kgLIBr-?%edWR(mz>BK@?2Ol19I8gE`rlrS-wqOxHBC>
z6jn+`y|a4`gv5GxXC@J|!AKq5#45R-CdKU6BZ@+7m$s3U(3V7D4EJ)O$ze+a%HvCZ
zjM*m?{hQX8wGt<U2nMgDUbA{%7dG)7D+wc<W3$@Dyw9N4+6kxRtdUfQjS_=6sOhG5
z@ST9lWO%}aBLdGV%ORYUkH7gIsb+|0xT)q_JR%%DQIBjzjM<A&W%i9>Ut#J&ZjUj^
zYp`N8h}bm*Xs7q%z%8{MJ!xeFg^<W>;gI}gy^?3Ob1S~q3aCp;UeSc-eofLuMEuH_
z{dGd-eV({jxLALci6Vb0&eXz)Xc!Dg!R-8P)5GsSiZB|?5o2QsgH!!KF$Qs*=XZV6
zan><taRbi{=u-z4jbeX&3b48^WGy251=kBdC04`TOEq95*G=_C53v5*n~mpKd{He+
zX_rroyFW!z9L1{J2KpTF*X(0hJPdUNHGA7*u<y6(Wb@U`!b>gjc7(BW<jTuepw1;!
zT677}Zt#+Ss!HJ3!|WFuh<LzU#YLR)s-9YuvLb08{pIMTQfg}cU34W`mw80!7e9Ak
z*&8yh%B+SZj7ghLm290eDR@ETzDyZ)$Y>`|B8CJNc^VZ*L8$ttC8J)|yb+P#2s;(c
z%;GzzeV)x9O4$>0S?kl}nT3qEF+$tn8z+~HG_Cn>CPZ1aJVE}9jq&*a&9AwhDAyZn
zjuI(?HEIxg-eIWAnl>irTPPEkIqfxVy^V0>QY*~F9QsWNg=TT4dR#a<wex`OwW3_d
zbkAKrpB^NLMyaoVHAqJrYxE+IkrmG9TWq1cOGdHJ42q9^V-wB@B(Be3kv~#*cd`vQ
zQeRKRwqkgy-QtN$^dyfiS9zC5Mf6j^lIq;&hkdKq>iL!jW!KLU6Kf&K1aqorgk|>g
zD85gDn`%>)#r`=5MMbdY7!@g|=;PgnTFUHvOQV1htSRHnDf!DT9+b>|)g03x4&4}Q
zqAE{_Zn>g0Bsb$*&D4}mFOR~kU8dZ9C}Hr?#jTwM$1BS(144)*V?}6!eJ;?Z@yV$_
zBe!j#HW#rLq2{1m_9_Gr9VbshiDC_wnP(t|BN%5wVHZr~p-m+o60H9gT*02oqH60<
z^C~s$b#<;3FipbbDJE&l^Hk4VHj1ruEIyvZ>>O(DNDMkhz6oC2iN9?-4CTyMGgbPf
z)8odXMNisHH`ST84xsWiR)w9noS8&YbGUW{<7Nv8-xHcz4$8i-cS!xcldmEe2^1hd
zR2`NH|0X`ldLt2e+h5fjJ%T>sT}Q$p>=nZ9X8p2DD9FurrR;K~cb|`nkeQCEMk(Ax
z!hmrAK3X~xBO2Erj07eIIXZ<J{$Op_G8+47A%&tMy*^Xi`s$1_JFhvhXUT6k{7k*l
zjBo1KjwHip*m!<QRQ}Ru=DFSwBX&xnu#JWwg}%GBKPWq&_UgSIA9ziHlwS)Zd&2J6
z(G(cB|0N8ll8b`g7i&q9hZJWhkb2njyq;=~)PhfuCHVnO^<UOP-txLvqPd})yBGGH
zdN)}85Y^_4-RPxBbk;Wiv>^Q*vWh6D@YzAcC_{|e7GIy1$>MYlPYP-#tXx<Kg2kqN
z?Wb6BR&D->6yNrui2oT1|JN#3-33RQQCho2ntF4yUxqlkx+U!Emnf|&BgqYNKQ~32
zB!~(S0ae$(wsc$Un><xx@BP83M`p(07e9}87?3{mZ&mR;oG=QlrtRb_DP}KO83<I<
zg?vO_-MLlg8h&&Smh?lwTx2~6LjtMn@!MQx(oxvS&ne5LM!^tL{b`QKgQ|DrgP_}T
zbXUq73fsDqn%dOT{xKY5uHAtU3bwjuugmvWM@2#{o@<t_qLil>i@L}5rF>n4+)R_!
z=TtB|t@nW9D?vp)b3SEA%yQ9IRwc&Ae^ys)kn`YbGrkX*$UHTH`=ZhP60}b?%W@s-
zS&aIXOA8AN!V}%y1==5Z-6=02mr}GE3U=}{g$fPwDxKyD6?w2trL}Sc0t1CyjMAt_
zD(p>SrGtB(2?hrSz7RaT5UP`#k%6t7Z<yn3kb5L}Q6?md<6lABfBC!C`W5X+U{Dxf
z{4WA?@YBBD%g+*nE*fVap5puZ`VupWQ?bd1|H{lNs5>IG9{AD-UV~rtzUKzLFiX98
z_YN0?_?`7hX3!#VkeZ#}Dp$D<4|SufpD(_;<B$6Y%qK!j^)T|!&CmBAj)4nS4)*us
zP|^bHvfUM36E|KMVB99XFTy->_3G8zF!2JrurcLNHnQNDxqEQYKF7GmodS4_qt?K`
zH@LZp0Zo&3=33I}e9?Oe-h^2|?=L$nn!x4C?=+`a119UQeN|?ygeU9gXS`=y@%4R)
z<sQ3M&zA>C&~6zf@0|xbtD_h7_1_L&Z*Om(h3OwXBEvia#|-2n=mKG6AWhucw(qh9
zc}XFX;f|7$Ql4~->fkg7`*QwrK{Z%xTH#niaNffTGk8AtnNUu&!xx+xvr)b$>9$hw
z#!+a8)5n+?83o2$?r&g9VDA705S-^JU58s+TiKS0&8s>cK=Jll<q1t#m2EWz675QL
znH7OVGdV4cw)BIyCfG_KsS~?lIllK`b5_i>!H*7jp;_Ri^$iRRav42=2Qe{ndH3$!
z@Amd!kh~s)Lt0-;%OVNLr6%xBJ9H;YmcKxI`s<FCa@m#Oede3g*U5VZlQCyCnwr9i
z1Y1L34!|34%^NPStfVvz8eY<hbp~uQQ9anCtt0y`FRyhQI*woIfSrv3qt{HCwUEhg
zcy>wzeVU;7aBvm~2b4?IKt;v}r+fWoMJzl#r0~caySuHhZm@I{BZ~L$%Y$Wxf{yMr
z$XlcN?HNk3e9j9$>1?raaHjpqq=1T(^q}%S+PU+m>*F*`<iMK@Nh#6XFbDv<4hzVN
zK%87BWx9o*;^fu^d>42!gfTHOZK{R97y^3Ca(=Y~NM5)0hRlZwA7LS;!^Mwjg{<Q8
z>Xw6-&4iO2M{O&HgQU+6%&~EC(X%6Z#ymT&Kc|QD9*vf}y9N2;7-;_m+KLb45-xan
zM+LC`z>;!sbYuoL84xr(0zyLYSH`O=CVYr#`4G2pmy2h674^fb>z%g;#+CCc*O-9I
z0A{d>-o6HdEGp6DO&A!%PxmLIgshj&9}vguN7-AbP$RHq@8jd!fh7?T6@5=c!_A_!
zw>%gHcDX*m2yjq?Rqg*X?^g$$7@_>1yT5#2|GWFEa;aD9e|p4${U1kJz@l<~&@QbQ
z1B*i+r_lYP_sA`=_N-r<Qz?>8=ruaEl$?NHWPm*%R~rIZ52nf(i}6nz>|)?B2SIc=
zNLEIMmYTYC(AYDtZ4y|ECGY&Nl_T#^U#fvCgUC#VQx3apS8nZ(IhXGxc}m)C-Oxtf
zOZ!Tpk0`;RiCbp}vx>^fud*x;fKH73`}Z06IcKWZ>-@oC2M)&w@S-%C6%CcY|9^cp
zqJLz`;Oq08)qtNVcl;fWb}XxH2d)511TmW9MvExEVvo~!2IpB6N2J8y2nq!)ZHNN1
zHx=@$%K2$aON%K)t?Os8-}OrZH*ZGA#Ju86cE?2cUTj%_q|YKDQ9V$DN6OFuvwH+M
z`Db%JCl?=k1O)~*cIGYAMu7$JO>(mFEHCHh`N<~D0i!`fH#nO_2>j1g?R`dNF#A|B
z@aBavEpPHl9g}JC4E+xaTM^K>z=*Dllo3IilM>@%twFXw#FGR*7VMHXlXZ-cvQ6Mo
zKz|as?cpH~q-GCTC+WI-Kdb$N#6dgP9@^Ii0)xT|^)-y<MpLDu^!Y3M|KMI*h)5K3
zeiCsr>uJ}AMn<=>muSKTobj}x4yF-@{{H@(jd;vMXbufET55SgaRz7;JoOis)2@*(
zbbTa3(9{?B$it$f&uGzK0sP9Shi>0Bv<(iIm{#3<OjAuVP`~7fSgDNxp}yPos+q5z
zkh9YupH%{D4h*xk<XNwpbSu!Nt9zPJyF*;5iT@_4_TVF;J}07IU6zA@$uk2VrJ}0p
zUFanU3p;zuUL_naVG$RnyTEbJufw9a_8Sm}0dV99-j%KW*@q7dV6~Wn3XJBZIMkBE
zK{0QE&XDjlxrp&5HsU}1hs5FRIrk6aq%Mu!AVoDb1xRrRs3CN{x$nYiE%%O|qUrlT
zK*(>5SQoHzaI^`p<yA~Hfr88r2MU09m6Mlm`tgHk(rcT9p(@iHXu&fO;Ah?HkH;gp
zgJ|v!7!4(3Ipn$Q*B!6<gVHK&Hx>en+1EDn?hj)AXl}SuWb#XennzyyeTfHUa0mox
z2))1wM+`{sCEo(4*d-{pcb`4Gil9RgmROO;{U1f!QNmrI!`Y;znZd}$5(=a~tm!g8
zKZT{GC7LsRdtH~DoZJscL0mTsI;($*wi!^D|8LQDzV;6I%%VSjjDYhu=0Gz21sg6d
z8B@3d(+g}9pTjF>n^C?9f~J$uuNj<%<q~<RXW9kZz$K&EMmVYAfUd)5S!$mmdFxLo
zIq!dHI6s{{pPuW8)hoBT1gAl4c6BDlp*1Q1u~=MOyaAlJ`QKlu-~(xZ_<5LK51cmo
zltx}XG*aC7`rH_oL6^aCa0#Q`h0q1>qT8CJ1e})QP)!VY)Ev}5MCdxadmw*b%VmAy
zBS_W6#KalU{%mZx!H4loI7!UwzyTK<n-5AcSZ_ZFS<}GzvG;G^-i`SH#~(2^fWFM@
zu>-BUwx(vN%vzT&LLPk3Z^0l_s>jW6%bjn0e0;dx*Ec92z@Z<d&F(8TWOBL{_WnIB
zB;FtxImA5oY!dHr*bNs4vV(=yYr?UevD_6!rpvfea5f0$*vLyagCMbrB%eUrvH>^(
zrSdO0eIW!A(Z*ImPoN&V7JEN$M=LPpY`ZKDmvH|1na~UxOm~?T4w}Y|wV1~^TblLU
zT|!f>iBPA7Mu-Rqa!MGHTV4l+vde^v9-JtPahGwI_%Aij!KXTbK2f!}u+ZkZIsy>V
z>1byWj?a}yW>pQEdvc<zEN!xN;@`e)MIRWY1F!nzVC5Q*gv6+;y#4(5x4_z4)CPXe
z%Gv^fAe-N~SI`I4u3JEKrWY`ODNrrmqH91=x9fv*;RWdC3-j}0w;&jV?tbiSeJfKY
zuJ2~;oar)XR<r@s{VjlQdDc3+zid)RXb%q$PrxfboU6<0v(uxXdgj$6RB4qh9Q36+
zO`j*n>I=j!x<|MJ6%NN&^lHD8r}bEjQ}2n+ubfAq51@j^ZLG%ILK5quJH%FTcHuuA
zbwKUEw{kv_swP)O)7(tOXN0wVgxZ;Xf7qD^(`kFeuVzZwqso=)$flOFtV}|d;0V#4
n|Af%LpWcOYymBgg=NRjBBvn2iCGWy1V?^oheYt!Y(^vl&<5e{k

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html b/docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html
new file mode 100644
index 0000000..dd7e95e
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html
@@ -0,0 +1,193 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_boost_a2_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::BoostA2DE Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>bisection</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>block_update</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Boost</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>BoostA2DE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>convergence</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>convergence_best</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>featureSelection</b>(torch::Tensor &amp;weights_) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>featureSelector</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;BoostA2DE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>maxTolerance</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>order_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>select_features_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>selectFeatures</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>threshold</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>update_weights</b>(torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>update_weights_block</b>(int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>X_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>X_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Boost</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BoostA2DE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e.html b/docs/manual/classbayesnet_1_1_boost_a2_d_e.html
new file mode 100644
index 0000000..3a95eaa
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a2_d_e.html
@@ -0,0 +1,417 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::BoostA2DE Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_boost_a2_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_boost_a2_d_e-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::BoostA2DE Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::BoostA2DE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_boost_a2_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_boost_a2_d_e_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_boost_a2_d_e_inherit__map" id="abayesnet_1_1_boost_a2_d_e_inherit__map">
+<area shape="rect" title=" " alt="" coords="13,300,165,326"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
+<area shape="poly" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::BoostA2DE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_boost_a2_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_boost_a2_d_e_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_boost_a2_d_e_coll__map" id="abayesnet_1_1_boost_a2_d_e_coll__map">
+<area shape="rect" title=" " alt="" coords="100,315,251,341"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
+<area shape="poly" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:ae0c18c62fab04176aef58686a74e1a0d" id="r_ae0c18c62fab04176aef58686a74e1a0d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae0c18c62fab04176aef58686a74e1a0d">BoostA2DE</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:ae0c18c62fab04176aef58686a74e1a0d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4531b55d3a7ed26673f12c794df434b" id="r_ad4531b55d3a7ed26673f12c794df434b"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad4531b55d3a7ed26673f12c794df434b">graph</a> (const std::string &amp;title=&quot;BoostA2DE&quot;) const override</td></tr>
+<tr class="separator:ad4531b55d3a7ed26673f12c794df434b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
+<tr class="memitem:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost" id="r_a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a54bb9e01bfce0c4a3f3b1ae890d1f646">Boost</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost" id="r_a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a2590c3315a7a6d40c5a5dffdd245bbfd">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
+<tr class="separator:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a457c721518ad1ccd52587002e7d60679" id="r_a457c721518ad1ccd52587002e7d60679"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a457c721518ad1ccd52587002e7d60679">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a457c721518ad1ccd52587002e7d60679"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
+<tr class="memitem:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost" id="r_aac58b795401b3b7455fb2ce0831460d9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#aac58b795401b3b7455fb2ce0831460d9">featureSelection</a> (torch::Tensor &amp;weights_)</td></tr>
+<tr class="separator:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost" id="r_a413f675b6c2d72515a0832e125f48fb0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a413f675b6c2d72515a0832e125f48fb0">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost" id="r_a79e4c58021af69e26126c8f58d1c3b29"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a79e4c58021af69e26126c8f58d1c3b29">update_weights</a> (torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost" id="r_abee86d771210899db79678a2f31823cf"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#abee86d771210899db79678a2f31823cf">update_weights_block</a> (int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
+<tr class="memitem:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ae19dc6d4d70c74baf8b801a22a935a2f">X_train</a></td></tr>
+<tr class="separator:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a023913d253aeb83dba60a15f61a059a5"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a023913d253aeb83dba60a15f61a059a5">y_train</a></td></tr>
+<tr class="separator:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a3945ec0bb41206b421632fc999eb7252"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a3945ec0bb41206b421632fc999eb7252">X_test</a></td></tr>
+<tr class="separator:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a88de19ffafabdcbc0cf8866d5c059138"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a88de19ffafabdcbc0cf8866d5c059138">y_test</a></td></tr>
+<tr class="separator:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ac8a53b6bdb07aa4f8bfe43515da8228f">bisection</a> = true</td></tr>
+<tr class="separator:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a9ed44d620c1f2e5c06c3695585e40860"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a9ed44d620c1f2e5c06c3695585e40860">maxTolerance</a> = 3</td></tr>
+<tr class="separator:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a5b4a91f940ebcfd532c73df0018acb3e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a5b4a91f940ebcfd532c73df0018acb3e">order_algorithm</a></td></tr>
+<tr class="separator:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost" id="r_a71e17067522a19e6d23ab503aa7cc16a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a71e17067522a19e6d23ab503aa7cc16a">convergence</a> = true</td></tr>
+<tr class="separator:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost" id="r_a985df40f71dd9a64d0fc9e66ed41595b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a985df40f71dd9a64d0fc9e66ed41595b">convergence_best</a> = false</td></tr>
+<tr class="separator:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a57bf7c3a220afd538287f88be41f463e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a57bf7c3a220afd538287f88be41f463e">selectFeatures</a> = false</td></tr>
+<tr class="separator:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1dd29281582d7815c7b3302d61492bde"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1dd29281582d7815c7b3302d61492bde">select_features_algorithm</a> = Orders.DESC</td></tr>
+<tr class="separator:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost" id="r_adb59196a4e112d4c1921d78766d7b966"><td class="memItemLeft" align="right" valign="top">FeatureSelect *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#adb59196a4e112d4c1921d78766d7b966">featureSelector</a> = nullptr</td></tr>
+<tr class="separator:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1cbc839445860d3e4c8f5a11359c58c3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1cbc839445860d3e4c8f5a11359c58c3">threshold</a> = -1</td></tr>
+<tr class="separator:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost" id="r_a4b290f030febf39c41ff679990d9cf4c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a4b290f030febf39c41ff679990d9cf4c">block_update</a> = false</td></tr>
+<tr class="separator:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8h_source.html#l00014">14</a> of file <a class="el" href="_boost_a2_d_e_8h_source.html">BoostA2DE.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="ae0c18c62fab04176aef58686a74e1a0d" name="ae0c18c62fab04176aef58686a74e1a0d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae0c18c62fab04176aef58686a74e1a0d">&#9670;&#160;</a></span>BoostA2DE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::BoostA2DE::BoostA2DE </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8cc_source.html#l00019">19</a> of file <a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="ad4531b55d3a7ed26673f12c794df434b" name="ad4531b55d3a7ed26673f12c794df434b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad4531b55d3a7ed26673f12c794df434b">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::BoostA2DE::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;BoostA2DE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8cc_source.html#l00163">163</a> of file <a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a>.</p>
+
+</div>
+</div>
+<a id="a457c721518ad1ccd52587002e7d60679" name="a457c721518ad1ccd52587002e7d60679"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a457c721518ad1ccd52587002e7d60679">&#9670;&#160;</a></span>trainModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::BoostA2DE::trainModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8cc_source.html#l00044">44</a> of file <a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a2_d_e_8h_source.html">BoostA2DE.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map
new file mode 100644
index 0000000..5cbcf45
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::BoostA2DE" name="bayesnet::BoostA2DE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="100,315,251,341"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge5_Node000004_Node000006" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5
new file mode 100644
index 0000000..83241f0
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5
@@ -0,0 +1 @@
+98594f5a9055dcb8b341181bb66be4d2
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..67b6796b9c871f67d574609a15d5d7be5c59d8a3
GIT binary patch
literal 16762
zcmd74cT|-7wk7(JK@cdEoP!7m5+o==5K0gvOOmW8IcEuif>KHn5Ji$8l5>(AC5Qr&
za|VebARtkAtIoOIectJNyWc-=bniVjdstT0_ls-IHRoKs&{S7Cdxqf*f*@y=Z=tmj
z1V;`2GbAR2SK>J-mf(Mc_irnqkyGryDRr4K2*QRaqi^VVC$3NW8lT@ik=-1&y7z?o
z#%0{8XFWx?L|S<S+3%Y26xY7W@X(Qy%8al%87SeoqVZ18OvdnH=k0hVHMM?~)M&8_
zS5UPNSG2S!Unc|>5&wKR)gb%oEIv(J@V(i;e$s!ooGm?Nw@*5|>k|(;f8q+Y(OHBE
z|MN%OE@ee`k8QaL#yXIyRcMG(9;3j{&Q2fR>nSfU?`=``EiXnTy;}Ogmse&v-KBNA
z%4ktJ;;o1Mv8{2^=pC}a{P14!jiWq1jxlm`zrjah@}+&R*cBLRSlS+pHv|Nv70yrj
zZamA(v`Q-s5p&Aac(3T_=oo&$M__v|OgOhSwS&$=#MxS;Esl&SK1`S!FNE77tfTQC
zFCYKtsdb*kUF=Hmx@cR>5Y2UODDUnd%SP?Cddvhl9x_~D@|n@8_DK|{635l6bb|H!
z9DRL#o!<)08Y1qNTBeqjm1zyVfBQBB`-j?ECd7HA?*dv$$zuGI!&Se1p*MnNQ#@-9
zj)wE~6o}hmXH(|;$A%Us@Vu=bZ@cEjhx79C6n&jeT&*o1KD;;I7Vh<d=H|iCkwWgE
z_;M8tr}ZUurRO@s*e3_laK)gQiy9nUTpx#$R@5c^4@FtLXK<LVIwSY)-J`o=N%r{k
zuh;(3(fmRO?0b@W2=yhsIE8ifOM-$*uC5|n%D4zxQIUg}m&9w@U*h-g-_DDj?-cJk
zx%D&b`6K&#4X5F>W`3xKlS8}mgXw@%na9Ul?TU9ZjSmhE_V?!_8PnILe0)rGbb{B0
z3x}(Jj+NW7af~|9(9p!oCh96j2g6(>&8$S;X&M-e%!qGqZ>J8gJshM#p`Nsc($3fI
zO@034FfL@-Ntb6-QP8%%y6WripOxPoa6HfIJ@bU9DB$$*@!ySr_HTj>WchlbkN+Od
z#_F3E8*Ho(XpNV2CrQoEGzIloiz0zxVPvXFlGJ<C0kX+{zdH<1=d;%Q@dHarL|(_n
z-p#A4vU4~(fd_`tU$Jbo79Bd8kSgz1K?lQjNq+zM_3KxL^+23Tg;X0+1{6I#iJ+ih
zWp(xa&N$(o6?Y_Xf8Tp&b&&M&<Hwu7e~SbZwMVi>W@TmBI=KHFL7DmQQX^~^E)eWZ
zda+7+tm1oldBKJ!c-7tvrD<w!CxVYHPgGr@I(H67C-L$%DJhG=9No>$&A^%(DMAXC
zun!+NLLL6B^b?Jaj?&5ah+aQEc0(FV9)1&YU)FT<uTURuGZ&gEsQD$LF+AvX+rLO>
zX{A5YWu_5_-?);JPj|P%u|GpC?uwOqzQ?2^vxh*9_ZEk-v2jZO3MCU$*!I$QPCmXf
zto}Qw`u#al>688W-9JCR#$IxEc5Xb}UF)rKTjFLMtL!&it3U0Q+F-kQv3*WcRblwr
z{TAZd-610+kWs?1v7>{8l!jlZqQBfu|M+<OI}*52e?)F-YD#?O%+t_NQq#u=593rb
z7>@2}YipMqen?B3-Pnli?CgAAoBx}Oi!0c!+|V|wr3H;E7Znxt`t4h#7cX8ctgox}
z_V%LD0~JnYV<itsm7~$`-o0B`SU`7lbd-6l>AAYOan_k?pwU}fTMIvbs-~x>>lhoW
zGD~@Wl$iF5QBhIh5fBLX^Yi23=6>G&URI-^pg_mK;FeEa@*DoU@_2+~Y#bk83C<yB
zC@3x_sVgZfD=+-`ansCi>shP#3yh@uvYd;H%i`nK*4ADkRzJ<PvL<sjMAW8_%dp5C
zr|Z4!d&Ni=HJGRS?*-*;yVcd2^y>yWZbyICKWb-pj^|ybr>DmcJaguZV@<?!`=z<L
z`y3p<x3|*@8&2Xe7ziE;6f!%Sb^h6Tuwzfo)6y!z6wZ!Kml+C(Ek@c}mm7ZV?sn7^
z$ak5($Wc;Wej#7)HpB`}B_*Y5_Z2D>O6{G<GY(G9HUAAKlcm1&+cujsO=$Gae59;)
zg17?@4-W=|QBRV*dHM3?2SRi_oSZ?T3}^kfyCl%)*YDmbU%!66?0)M@*cTO*Gvzk@
z&oLNN|6SecqhB?=oSbPlHtf=;A0LI68Lod)B<&g)(Alm%*j~DGdh)m9fk^MWD^|Cn
zxnP9cFs$|Qip-G_13m$P3szQE+s{K^zWk7VCzA@*o1vEQWpXkJR^e7=f0TM=8UZOy
z&*tpsm5D012Ub=}-`)tMUD7Xj#igvHr>BSx_;oebi38Q!uOX`j>r~w;?&N=N?GAnX
z_v=Ueb$`a}c2;u>`?kN!Y9uEoi@GhUa&UzDR}2u{_GoKs!_NAPxsX9#p{@0lBlFqO
z?%ih@>Ge88-mt!e4%;eS!lFj~^%^@?)>Nox&z|+hXk1rD4=UX0mJB#rmnf;I$n5LW
zei;#wam{V<Rb8D7H8pkb?;qcIrKJ-wnCts9c)$PrDbV}&lz`Ow%PV%VKbifR8h7BK
z*1smIuqRW$z}Uw5ly8ta-fLl}_D-hy=GK<51`$3!n}h@{U+kG0&-JGj6%tRMJ}vS)
za2**LK@cV;CLza(tM=3N%!+9!DX(8G5R!3_?CflaFUylP5<a`D&rIulumPV^K1C^#
zWu)jH-Y3V&mk{JQ+1L=@KR>heGzM9XAlmh;?b3|bnrLZhc|*wAf>d|!^YgQ}R8?Er
zSp&j4J5~Q<tqu<kX4}FU_kX-KvmN-|aQc@blvc1n*weGdL-c{va3=eBt=Gm>$(X$(
z+<dbYI8bdGvVR}27-n%<C7qm{K&)$q-Ff-<Xm36{Gg<!qb^lj!aTx!jKkTBS=jB>W
z7;fCSF=)EBz8;>dUl^a6`%6Q@aiVdm&X+y7GL1HA^*EOEnyag;xe#57UM>y-QB$eH
zaq?Ak^wZ^KYpx3y*kNMG%-WjW<4IT!6bnm4u|>OlT5nvy-H!hLbC9!dX=q3|EhHu~
zy?*_AW_2)^PSl!`TQx3lV#2tkrDf(Bt!X0$#o4*8$GnkChPv%A#TzSSZ)?j}Qd+w9
z^B)(rAHGOkU45j~iUMM-vBTuIw}MJ{@7@hh>g)40&yHwrZuY5gQ~0E0;pCQH{>Q)J
z_S?(*!wo0T;N;JxhOj(MNEmm>zXB760JOheF}*nxL@`&~&hok5|HyfB=0@J#QbMGs
z-rtu=+Pi3MjjzJX;pfkv*uU}HYNho)`0-ZQenhCuY5GKP?;yg2IERVyy2~8C=g*NR
zB<Hx<1O(1P#M<26#zTHiRGotpu_$o`fCV`@IYe}FZngLak3WZ;WqkhhDQ-(!+f&S|
z<m8B+9!>kv5&{U3#H6GOj~`!`mX@YuU@%<L9nIk{CqZn>$E2;vkq`>jHUJiDiG<h%
zdthnFaplT6I7v<WTl2lC3PfZ~S9|VH3+y&&Cq+a=7*xCSUO!kk_j9Bek1z<wr;Y`(
zdOPHFVY{I`hQIZbl8#<d-$oY&ZrDxk<@&(nded*y`u*J<uBhvV5&0diWD=8+1t%pj
zKPP8?DP}j6V)Z?FF(~R{vNvv~dQvmQYrK@XGsgfnLSX6xhHvxp1t3pt&V>qo@ZI}`
zU8}W8y^0^6ZK5?^8|ta4sn|%(7yA-c0Sy72j1Z52h$to`gy@m4Z-2{+b2f)ND+9$A
zO4}(vYaeYBBS|v8pA2h?i;EYQmv5QWcwQ(sRJ)U*n)>^<s|Z85sPl{*9E`NaM!Da+
zyXk|u`saGz&r8P6OQX@}E~<ZoJZNYigR%bebM#}cwKe2aw2rWz>vx&GxbbXBlWQ4w
zcY9%<8Lqi<B}sX8A178HCck;3XT`djdncO9u*@0-=m8$U>FewJduQh(gv$goGY{2m
z&o%2Wo&`>-{n}=Zbq0f)T@I?H<?Bc2!FJJ0NmpH-+B-OOS;V^zXZNpsnVL$T^4~Mz
z;NZJ-i8EYL!KrRnuY8x^=u;THt7CZhZDLZAO<NfKVkla7FY~K#mkK1b2No6z)9|S}
z2<D14lsdYKii-JC69BSu{jZ8#xuP7+#lc}%<$B>+aPYvG=?~pTxCQzNg345Xx7t|&
z#0a}doz>M(KtCXVCzV}LKRgVfmI@X7=1t#=a~GGJpOKy&Bdoa7ZZ_KOddQ*VcBU)G
zd)lemgXaAC9st5Tf`S|BuMIM}Nz|@E3Rvz*RTwC>(ip4r^-3#@EGO#{6a6vcKP@S`
zI=DR^1?Lxgx6<F5HfL$2z2*xl=59Z#_o(62|L&wDCnpzP^M~H<toL+<<8i<9zoGMi
zYZ;GV&olCZiY+-Idkr;sbs4_Rk(k!k<rLNB8+^zy)-4t8Dw6)^R}$K^p7PZxXIOq9
z)DjbzE~mn^&-e4cULL)gJDEMurYyo^5?apwfkAd>bGV`S`>#qH7g5qiGWMdDHs(_k
zW*%=VtCH3oDF&`v{0Pb3O8X(Xc6IWbrwXO?@h4}?g|l7g0~zrPh?{GMLyH`ZDy<V`
z4?i2e{(i_UdxrhP3u|J8ICcj;(0lUx@rRd#FBD4Oy~Ly)Aa4SZEOXph$-wl7R43;c
z`3#2+IFG&&b6xkH8R21HR>M8Sd4Qj7&$g_iqcVLR_i2dFFG}(*%T-oGTO-p5GGv`^
ziKLMjCkWq<n|^C*Ndr@Ts!3)?P4iTT`7lE|75C(3$`o!hej_1*FBhF6d?gyMp&*kU
zN*v28;sVK2+Nh}%Bf$|8I=NT3*q#Sc3{lXAKe`tzreO3}W89?T(t9~Rn^d-00n{yw
zZ3U$Ya@kmUW!#QExORHSg2u&K+@e1q#WR|O9=|Mqo|llF4Y7~n;y0DhPIUNsXwW}S
z=iFSZ>VU!DWQf|Nq<%je|K5TsnsUcpN2OtLE98q2Wqnm0z0u#wO7fX$%B;23s(9j0
zXm3U0V-}Q>QHGxqb9{;7kSH;i-k#K<VO75HxyBH-*$aHv8_Ef}Nva3B_nQB33zkvO
z^w=+|QoRW>&snmuB_^ianNt2@6WweOLq*ATEAfJ+5qma&fFnT)$Cl^*r_IAZjGl~F
zMH8xaQ#oiGFVaMa<KUbNT)){GSMAImX;!YI#rxNj7~@REMKW;EO2naQX<4&&>d-f5
zh$2_JWG-@#KC7GJg)$;lGd4TwF#9x;->@?4^<ycyIeHFF<{EsGnWSe&3Snv{Ms`i9
zHU!rL<R73m={5ga$M8jntBNbuHVC0NLq5hj3yrqm%tgMm3mlAz31oWf8glll&XA<D
zwIK<W_vvEn@0T`Dm600c*u1QX0_C!k^7KbBH&y?Jb%Kb|yd&{%{1?~QdfsQQKET~9
z-0VN`xfyCddsQ^Q<#2Yc1mB(#R}taHj?u!8k;H=J7Cz<orqL1yva7Q^xBN(Fu2YG+
z9~RfMM!ihtq>|8(L_bM#>t#q^vtNO)z~qx`DC6TiDXh6>KG#fn&zPR?YiOttO>huW
z|DHkPhRSfqui9{&i%j3_Ri|+`^|L>w!okwOX$)IvJeBX+M)SSE7kF1K`%!gP+ejJ~
ztwd7Cn6h!8z%x$MgUrpSvWJ%1f+_I5PVoL0nVnZpAC^dUGQ~apr3+sarF3+v=W(#}
z`f;(Q@;On$-At9ik@!uCr-rY#j5@kU>5Xv6P*jR}B-A0X1uy=3u<ptB-Eb(IROMUQ
zfI)ocG10JVPaSQZAnO*yk-n_#ecwN8UwI{-&QAHNs8LEz6ECqw0X^@ZOD5+m1PDSb
zNyYy1WT)HhM-zX(dX>J$ZC_rKv|Lh?uE4C_8`m?Yv7&#D2aWwW34FZBVYXSvICu&9
zN!3^pwY8JgCsthT-*@zJ?U3D&D1FWRjf?ds=kexe*;&NjNt@L<{6060O6Nb?f0d9w
zwwbo&QxmH)+{{1UV^8qu8EOCS{o}K^QkYG(7E^{CceS4y?{}`RsQmb|g^Z1l#82I+
zX0fCXvAk3)U>x_dz~T(Pr=0m-*;OCam3V`j<~f7UH%K<i%A@2nF6?UPR&!g@o5?sm
zY;(H6Xl0d0i#v~mnO-qIPH|VuAFL+QmJWOR7{5oI&OzaW`c!}xe8pdwP%5lxM$(lb
z)Ml89`GnQy)(Vy3fw2j)PJbjZK}2Y8V_H^=Sc`>;sWz=(>3H)q#X6*&=}#3E0S=9U
zIO%FyZ^dT&xAm-zDuql0n?)%<-3neuZHcO^#2Yfkr0^nRBV%!d5?iQ6HjZx%YAM>;
zV`tb+FAEA*IOTlEBZ0Y<!`!M*UfLkyK|!S*H#2tr$~`nYnJN27Bye)@FkjEkce#gM
z?Z-~CjPK9+`FUn1e-_jWfSewMhZ8vwEHYzl&636#OliuK{hiu!PO7M_{op_wG+l$^
z$B}$@<@`y2WquC!_Ud>TLLrJkPSjr`;(NG4jDbm%bFxiMO{e&Q!NI{7b@&E-bdK}g
z^pW?A3k$VWEG&*Hw{FqpYiD04m?3AQm%AKzMd3NwJ1?jy>Z7?F@SSM`UD;c5lvo}u
zbio&>i;IiXqZb&csI*6Rj8Y!WpPCp-v0HaJALBI|vKI-6L?~V|p~6E(@Rrrkd&KOf
zl=7WKJx2L@zIb%XXhECuu|H5juH|WGe?s+^u`4`xFDftJ#S!}2-@o0e5JGMP1GMBY
zyeC8_9ZY$OBXkBSGjuRgj;<%z)P?GBe0*$dN&_83&UBSB-5@d_KZF}EIHmma76<+i
zWsw+1a<X<c7a=kG)EN?zjyu^p(+Gm{7jd3xOoT@rBaN^zzdn_hCn0Q7TwDuA2;k}-
zY9s+i+C)$94^Lq8t5>fsM9QA*@6OE3gd^&>kU|;GHb!7hHUJNP`1o;QtZO)2D<xO&
znL>;%<<lYZ&$sdY2%FzBC4Rk=J9rmiL$^|>-;Q=K_zKl9BQk~FSrZVf!%s=0oO3~B
zr%QegCkWP)${De@@cQ~5UHS9pj};=Vf%f=2c*ip)zmK5E5>0HVwDTR~O-XE&xt?w{
z6n<VR_VPEwze^|cNe=d^;{-ySeCgB5RfU55{AD{5KQ9$3Es(GiPM73S1iHtn=&GXk
zCQ5$dAcpK{a?}qZA|kJI@{|acxJXt^D{i~Vt;fu2Q?kmZK4^8OIaA);Xu&i-%UyYB
zxis*ciM_q*5l-c;r>=~4GSOWAL@9eGe~*-K8dDWQCJ<@%;1Q1CeZs~%!+cLB6iL3G
z6u#Vag5Y14z%_W=MN|}&Vm~cK8TKf9gWGb-(`R}fh>_f|Q=EB7wI7FHkHMr_#a`}+
z&sz)lcxjZO90}uE?xpW|qR(h&0xYP~3+wBF%tw10vW3HIf>c_GT*{2Bj~1dh(PhAa
z{(uVYHE*!NZFB+-+tsW4A1FEGiMLj;ufh|*pX=qNpopYk%pH33)alxN4^Ar7*1jwv
z7}YpEbe6VQ<?X;kK0G$J_dyy#io{49i@)$nQ(lHap<b>BN`6O_Av`-$=FdoZ&Nnz&
zGdIx80A~XzC@3U!O=wtIH>|C!yeI<m;B<s#WDSnFSc`n)`!#=z2@E*X{925&l{@{m
zZNdFR=5_8{Tu4t;O1mW&(IT(Oxti_$oy5D``1$ngmI~&)Bz`PaZ@Dj-XuFkBe#CvT
z!Il+=7b8rFV8YS@Zni`Tb3`QHseZG#Tw32jk?*sq?*)N2OpFudQg)RiBCLOI`BAzZ
zmdK?<X>6de?@vC-a2E&@wxrHz?frncDxx-i`_AivXToiH@@S?yW|UGNM9~{7hIAI4
zeCS{4&rmL0H{1HBV++!G^UkXNKFV|Y%@5D`I%^a$Vpd}L(SUeHjKhzq`0YumyG%H5
z#&oYKw{kiG<;e!i(!PF|5ihygpSStU>{CRW4ETCC+j>J)hWqJ;2)PePsE!b0eqBbz
zPU-1V<CXY0k$uJ+KO<gX(jFmikhm((V1smb8LzKnja;%ZA5{?NY*h!kYum#iFJBkD
z;0;lTnbhk4(`U@Sd7Y%T*0Itc+g&C=SG6In4*v!It6SwZZWa$(z6ZU8OvoDwZ+1a#
z?VQRP@DY~|g`Gdut4<#G*e2da0!yE}hV;;C9Iau$HL_iFl)1vQa$gQ{Q#OADE0X6f
zQ_)p_d<N&#Luf2wq47bOShbDsN^HWO%Wnb6FySFei0M)s5j^(=>;A{e<|Qa4lKyj9
zn_)d?7bQYW^{Z*x=t|F^d~FobOv)(Vm9yz~*{l6T+P_Xe?kVfTq7FSNOfKav_56rI
z;R?!`Ydv7PdC7zV@jH}LNl|$<G^9SA_cT$=j43`(IiLQr-Z`P5K-iz1jOg-~9jP&W
zf)>&l{qj4)6pTfLvkBwxI5_5bsN~2<_zfkDYbOWRPV<~xWjVI$DBW9zs+L!>j}*Sf
zR})$$T@`(IKVv<en7xRhv80@{C0DI{3b6Se=L``NGT437;;PU)CZ>2*Etu)q;O{-?
zrmE`i#W<SEzBf3E^G0mQP7P5pq3xpYJ`9o5uCY-Pm^;G4O)p<66W%3yHS?h&ARaGf
zlKgsK85Ic$Ng**ii(Yj^+wX+p1h1Td*#gujrGSz<${B6OwC~u0&t?e^r+$QMv!ycJ
z6Ftgjg4ofqw|s`MHxK1p?B#T=;FR+U&Lp_MG%i6=!Uz1k7V31s%3{8!jHA1|dvkA3
zznW}F^~b`(3{c$q)nPQSsq_}Agyd>%bTLm9VuafsK$r;=roZ~HFP9Qj|5MAzbf<rb
zRSl-R=g)>QU890T=nVyY)SEY!rogIubjFL30xcO{a#C9>js3%qAJk^zSpE@s++v4u
zai;5jbWk%oz1}U!_?$Y5`|zLQgv#5kxBnqd>>q&6(uPMN9f(In&c@GAX3-Ybw9#-%
z9uN?aDE){E0Xn+qe(M>xtVx?6KYrX&SAWi>j0Ar9atoNC*<Upqil(M4-HF%wdDb3=
zP0HsEIvxSrlEn_RdB?YJp%_eoS%W&zdF9uEoR8#Ew$)6~r9OZDRmX!I;b~whp`2gy
zOX{`$2)r9%#VF7lFGEA^oJ}I7e-p#U2CbK(lvq+Bf>WWi6cq_^vb2;;#+$X@udWHA
zqTat}br>yaopW0qOGcxy9J8UJ?bdEAgg@on!A~QFAtKzN6Fu%;UYQsSv8%H)8#}(t
z-<^Ie6^%v%f4s1?r1b08uZ7v!8>Lp?xj8<#%(rPhc<`}`IjBjFS<*cP$bfSwEl^!x
zxndO4*lB5Ledfa@I&W<M8F#t^wAh!?(RZL8pou70xc<Rd$Hc^(%QvoyHa0O)PS@^D
zxe>GsY&|f4rzc0s#5dsZls*3I19d&{HZq6HX^V$B>ZkB!_<=yc+uBF&?6{8s>xCL5
z>#F|rEdBaj!#DBqD(hqAX~0qYEJP`NX={6)n3%ZynL_qsIHN?LMWl?SV_HGIm8E4g
z(4zT96%i8?6V@A3b!UC1uZhy<$~#))roe`M{q`*lh<u<)Gl0nB;8-265X3IuF^-3;
z>xYGf2V>P9m#V6&qD%`fa(n>s#MRR?12|W{%a=1En5Fs>oa&V?T)6Q1%^O8vr_Y}|
zr?B+>{Y8C!eLjAEE+G4Fzu`~C!6T&9x(UzQ+;r|+aR>en4IKPVE3KJ<eN5J3l%=sT
zlmBKDQMtO)bbXQzUu@N%>IsH;4~NjhLmjh#OQ%8q6A4d=ifXObAG!)O5FCwpPPI12
z_Vr*(TicvRQ^yC}*#V~~4@BNAcfPyAr5t^rFa%uB%kc1Y7&weyoJdzk=e$~yWGn_F
z?l6Xi&DPP>l#@(~aF=8jFenOqPQj|a)SbjBB_(C}$)4V%%JmtS@`sX=5?gjxkO18T
zAV-VVogBgraz%UjurM;-b{H#T4{9>sdZeq+-}k9#AoKZ7MSV}%z}{B|3ZUjv>h<S(
z>>2#nv!1OEWS;|#qq83e2j@#y*E5y$<^q$N8DL&hQrP&->X`tJA_$<IFh&XT@d~Gq
zUh5WMj)fonet^gU9|~ji+4~g^40Eb}q3KAa3uiFpa&H=uxcx{V?DGe=rEX$k;zj`7
zIfL^nD>f$;ifK<w3oAx4j6uDsbeSi74CEZcw-e9=?`_SsvgIUSe1knyVjmlJZEj5i
zdne#^rHH$+!F50$qEw@~kX*hV9umPS8{s%v%?|1q$UL`HROIF45TtQ<c=))wBjzHf
zv^0}Nd&D!vv?kDR5uM=VgapRE{{Al3pZ|N#H%BMn<kXnn^v&37pr1{hU0s`D{6gNF
zGq&GAWsQKPXSio?V`Q*;2jtMYzxm&jeoEOH`h6Ugrw>=$mU(hfJ+TpvqtLx({EzAB
zO@o8fFjpiHxIGRru|cK>5G1h@S>iP}Ay9+dM$R&dlMxUQV8X)*Q0y`?%)n2MfMgXN
z6N93md47EC=k4vyCMr7M_bvRwn=yQ(+|XowkDY?`dRSM2#IWT0@-im<_S-p-Bbwl`
zSXO*^tr)Iwo=FW&sbyDA@#EXrfaF-w;Ck3icNDr1VdJ?ml_amAfDM2;eAH_3qAzxQ
zWa!BV&ybUI11!VdKp^P)c2@ecVI5ybMcqK7w->uO5qBUlZP!69iB3!7^jIH@9k3O{
z3Q2HvJFG?f8lTX`Wq$c@UI4s~?(PU&JUlGDs8?ue;t*Eo+8K$lo@;p_>h;Sw)PV}s
zl`NA0vJ#xw7Z?l;zk%G|gj-})l2PUb<qsfpMnOb_gAdxuMGXy&?ZJQ#s}}KZKHW4l
zG)(fhy%n&=*bm3L+A%bTBGN`g?^$9`9v=u*5MJ#%8@#vfms32nw9Gj8lNx(TU;Ear
zTlwp{rZ^3to|GR%bM>+Y9N%b<V2<(MurhI=in=zj0GeMqP_{kKNNE{#ZvP{WpQr@n
zmJE1RK?2O3^HjJK0fae-dz8CBM`K_aC$rY>d$ELA_Rk2bS-$x<4)StHvE_@x<SV6t
zfe2(HUK2u#E(TVce>VtN#OrZ^!~@tIGO%S3^5wMof<?gDkc?PLc|R`YKJoN5YjyHC
zTt%`H8R|lgxp8{{oYBunm8nrmE2!yyIe@MCq_6<F?g#hCaC@k!xOq%S?Mwix=u!p0
zkT|_&llsOx?u8gVxtgU%2I~beR5AfVX?*3Ikj`wh!KLQZjy!Uc&(26Uf>4ujITG?%
zs0Av-+-2sFCdE-`#UF@n+}|=%PIJDS7Yk@W@8O}ufFf=(VM;;bMdCl}W3wa#-|puV
zhj5qjMGGk66%|TqAXF&sOFC3`53yrlHy1%x-aPt*$Y)x2+<cc~V26ET+jPSP{jAMO
z#NPI9o_6ePHn-r*a!IE6PFuPGI*RO}MtuAf++@2s7+?#$oiOT|CfCTT##dihJ90^G
z-_NIn=bh=V&s0YU<qRgQE_4KMX5_pmSBG!lBW}JzxqD2N7#NNuJAHs}0B=Sf-aRg2
z$&{}_Y*BJHu`5(JHp3?rOwQ-W3b)0lVXl6#acRk%&r{xt`X8o^|H8}hf6vRr>7?dw
zE^u+}ld?a)QysC$^FFbMCcWsKBFMQBQ{*HhceC740#Vq?_xaZD?z6hOy1s`(mz+<I
zAElWVV)0(6LcdC7RaH}Ouhxo49Q7?VH8EZjh1+cw|88LU*GU6EbnmipWnf$!9luGn
z&Wd*Yz+7u+)Z4fEYb9`Xnp<1bUtG%R?mKb?42YHby*KLiQhKe=XGL^0Da8w@>gmyl
zJ5FS|(+9k3XpjX8BIy0;!P5JA$Q?YqyxCi99~AS-?(x?NN+ywC(#w;3^ytw!{Z>aJ
zR+~@eH*el#<0!KmE@&%(A5C3dXXU>fX&c<T#}1e`Ra^J;R4<wf^wbofJId?3ABdz@
zR#pyi){l*Ke*Yda!C3Y_;N+3&`|EX6OM|+%!5EUeftZUj0436?^b!!H5JPzRl#$(v
zzs>Stoa_Fi^^-6~P7umxfBYZ-ED=V3g%C!CP_nW{Lf&io{+$8<g!hkFeFT|rk5tmp
z(J2>~^!$k_tUo-1U`0t##3_;_J)VLs15j_5l5;4Hz|+V`isR$so+>vhE^cnztg9D1
zJU!cTbaQ8BXK}#jLB=9Y2NR_k|Jk2O0pU#8XUE#_<X{O2eE99nJy1dx4;_;VH2lj4
z20>CWt#rl#Vb1{Y0X&%)K3{vdn(GY`+U)A;OHa6=?@y1df~MZ)@H^PG8OTskQ5}~X
z3aq$G+G76icTOyo6&4C&1$U{9+B@sT9&1BBcEtlBhlk{W$-cj?eeLQ>hZIVQFo@Zn
ze`saZ50#7t!XqIuJa-fgnG4BENlBSn@1txu{(bwMUam>ji2Ap<Xh#XrJ9qAMZ7+U*
zuK`N*#h4DXRd*u0ax{;WR05bN%AKZ@?^{@8mzBMSbJcYN)cl*E$zS03pq3yW1$&7t
z64Wy}!TJIIm6X}fA^jlqeSwVkM!-lBw0!ugEHEk=YMNBLcNl;BAD#p|(yqh(!^6Hn
z96W0PV1q2VdigmOG*|<U)x(6?aY<R(_ec-O-Cb*%xq~}kS1|H3%Xx0;Kc3EhRg{r7
z(&m#K_B=&KMm~}RsoU)F!3D_Tu+7haTcZP~0M@Q#Z*Pwva46^`9GN~jO-De5avyNy
z{_k&s|6&mED&L&|-Sod<w#e&;#E|EM;8M~E7zTrfZ0uMXn|T|=7|!na)PbR5c>3f|
zg-^SvU2dy3D}%Px54x;;ht~FNtS0+Vo;XgGJ4+`=a{6r!gGEh|RH#BJ!PkzCCr##o
zhWUgDlk8)r$!ZS;u#CV}h<g1x7&0S5-H@zf^LwF#n1Z5xq}U?0*IMYo7fOWs#{A;q
zb0{~qpQZipVVhpvs~ZySi~QxIakki@@elGUYln+F-PCR4So1N<(YCEAdOlBjL*Nx)
zSg>W_ApdKecH9Ju_dF;F54>wZ$}!yUKAVGg0&FpI_V)Z3;+2&Z;<IO4VXt2$CWaLi
z2|=ay`SWKy0B?&z#Vy(i2zV2^Xl;-gu&a#JK5|Rym%CYMT<M(JmR4`{h<`V=Uh)Tc
z$)ZY4=qz?ClZ3l|P1fA8w&sCQ7p0Q^0iK90bD+utxQH$PrlzJuUFOj7*Zn0uevU+m
zh=^b?)>E~Q@B_P(WsLGC!9e5c?*0+rd$eJG2Jf8=%}0-}0U%|#>dXcPFfDU)wgWhH
zV0Oq2=hTa!phBr7UX5DpPO>Xj<M=RIY6aC}DjaPTsuvt8%W$)VE8NzwR}Uv^*Ja@g
zDzw~SH7H%u$)PkW3xo84nWw8zH+Rq-{9>USw+Ds04nN&i*o@=08(es9sSEC<*GWkx
z7AGJUcd=@6d;tGQG#7w8y#ixppd-sa=|37gfPENTyd8}WINl-x>s9B3y29WfH%jZq
z4IDtDch@Hi4iC+<)vH#0%zh0VUKPEY`$u2?KZ9W5aL`<~;<)jUkC~Ykuw~vW>2HN>
z2YAxI-OC%D%UvRqYh4!vNn7P@lR;^_(!Xc7&A5!%FW<i}IXx>PjN<B0TwyR20lmp(
zwwWOPwzcPu=4W!k^l#P?`)*xyxx5?^L#GP29byZD$}dZ2bmaAwnJl1#t#%&HB&ght
znFENVJTlMAp2BWk(pO$I1Z4Kz3%J}kZ0th(91#<*3qs0S0Hv&|o<1KVZMH!0b*0<*
zOwQTK09YCn9_3(?IK^Zj!EDln_BZpyX5s6UvNjV_UXF0d-Q*+lJ7HYSb2rKJ_y-iT
zmG-zGPx(T2&jg3g!C@;b+M{?V2%bkxJ$o0)u)RX^33oq1gt~a>IlP###O}N{j8A}%
z`=LIqhB_Nl&WFWYs*#zd$S(q2Q^FiY!BKO0fo=MlH0)S}bSDz-4!`YM$Lya^61xuQ
zQHD#JNX}&VKD)Di3yV(*$)*3mVRz<viE$?duD?j36^|Q1Untgl3C|;7%%Lkhk4w0X
zCv>LK;9;_WvbW=`{M_GoF@}>#8B1p3VG;wioh5#Dp`<`oI1{UP`iWBT0xzi<vs;9T
zIiXz8AetGkNE)m)XA1wDWdE;t<X?QY|7Twg!XhmxyYI;|-4H!EUl*kD+Kb&9m3g%#
zColiBFJ1ImKZMw2oAgj~rg(vfpdbZ(_LjFQ!@cK|i=_~x5LX_sRP#6jsxl6F7flXO
z2hQ&9I@M&JM8K3)*5>7@u854N!I}H7oyPxM0l#lrm%QNgf}P2Hr7vCOZQlbf<>pI;
zwb~BJ|KSe>$%g07`BDa`T)+O$yxV_i3dVo`_|T>_J4Q^y?_)>j%a<?Z(AMBy4u1$g
zf}qY0ezmur(A+G4RZ2=BJ?G@KluP+bN5_p2a%Nlqq>cyjE-u1g&S4m^1b-2vl)Nzx
z4vrk=yHL8)tPSOVCKaqTPgX*MLn|aR^P(t&TKTY%p`QM!W2X90?Pe5rP_H%m!2_<^
z+S(bwHo_Kda+&=&$lUyVZ?3-J{=q@hw{PG445c0)d!ujO)U`{4`gI>%e+a_M%UcQ7
z(w^))7b|OOI3*<+(D;Y}xNCp_nORy2!8+oEg;8>?nomkguju6)5<n%q&FiM671b(!
zw6hZQ^QV0niwpz6$7_iBXvsr5N%yR(dZSD`3n4n^VH2-+nGHw3q`V(JV&~x@2G=Ck
zcXUtW-Kq(U-ZnQzIHM>y7(W2~jzI1(a0m-WA(}7|K%83l?{k3j=#IO)C<?W^KK}NT
z{iu92mzJd^_qA)+u;iY@WOXcXX15B5f$a11lLoWz9UB{7YFgSmP{6KqNlbr?j;2z%
zeVdb&mG$L|7pdS(jmgcuL`_2zZCaRl;r5#zKpPm$GVoFOfz6*kD`)m=X=_tKvgrjY
z_C0J0AZM1;G&WAGG6ULir-_JlK+-{oju^p`1K7eGzA>{mO)2K>TiPV)N6{DzWT0DV
zy*=Q*Qb7O1TsuFn09d`KvQrzTTgr}Qc0}^^YBWb>LUrdj)d&#-FuqPqP6`82CcWKx
z1rr(?#HGBy5pWs`WZc5y;#|P#5$n(Ob(h6X`Y;BuGhk_qZ4fH+Kk^KN!vPm+q}+}c
zhziT^$!9sRaGF~^5d&!>5TmKB{S-W&WH6sN2`3iEzp)>H5^3)3MLl`)gigpD0Rq^f
zxND4z^*R%n<FnluvaZ%~a}cxl6qra+qQFfHk}7a6aH=*JVl;3OU`&I70l^|Bnzv#f
z13IfglyYAkAOT`=aRopN3|Br~`yQP6%|Cw>H8m-L8X{+8WJCf1GJrcW1c=$s)}q)i
zh?9OKg0P8+QA62K=ews^Xj<0;XVre95+zT(v)qfvC~n_4ly3xvX)Anud~=8%gR5IR
zJEEsXX}xlV!$$Voo=^+SPI^tZ`fk*LX-}LD4l1x0!r;Mj0TK|OfI!!`9=xFirggS1
zcNGrX^BB#D@58nGUjwhe!otD>5AgacdV61Oi(m%lzeRo4+{y}xgoFen(gX#8ix-K2
zQmypa<s&@H5R7#e0#hL@EbKk|j8^D=%X?WI!(Cj8NhYH5fyE?k`XMkHT2I%@kh4e|
zI6V5{SzHFE0nBMFdFO!lpbJ;Tl8T7)Tnh=-4tS1RRnE|m0hs97r6nR{q{{80Hem7_
zG)zonKso|rN)*GbCK57PbnmmKre+{uoNekw@C5#6F2ys-(X08r{|$JB{R{9yUL_=i
z0{#G};(b_LI@!n4z~BTv!6TY`aWT0Otj3#ggOIGs)xWUD_nL!AXx<JEHyEuw2;=?f
zc^Tj1|2MYm-xxAAbbu)_81$}GT){#;DX#*ol^l+{8bkPVEIW)wV`~lHUsdfB>Vqp^
zNpI+~V$IXwmFt7zqqFcXRDh#nW6^-xAVl;-t%`Lt8(U@vln;(l`mtk*6}cotbH9H1
zk^*K@hHXL9+FL+9F0TA1=#1d_zeZ<It_}QpjU~cd7l<K%iFx1k{~Kd;5%O^Oa$#@=
z6MUyT_$^jPOE0cZ)zxSXV?|wYLC9N<w|#shExQw6yfyV9NmC5hu4ZbBCo_|=s<;59
z%zps17%YkY|JI+pRZE|N==Aj9Qe<Z}V8il0u_9S8$q30~){sw2OG}qbRMKiVs;WG-
zf6(%nDBYoyPt>a>Y>SHx#iS|R`4e5y=K)9zgg4#zKb(^UGwh5{od3a_0ga@>ca9sE
z61|`B-_aU}G!Y^{GnMVTY?{7yFP{kBBpKz)iv&)0DF<oZdm6p_PguuH5=Y$V?52Iz
z{0zqN^x_0PRy4ay%aN)*drc?!0wRZ)aL)CbHRb%1Wm9RPppy&kuIL;JeVL}w#=wl_
z%(!%=#0noM;eHRFRyn5T8Cu3dFN3TL;|WTy#TxW(IeU3FzxwawnDOOy3uI!|z&`NI
zckzcZc^&{ahZgP*NQ)JIqzT>(_{Dyd!H+4wj-|m=d!z9Jg|pTNj=6D}ZtK!%4ZF7e
z!Uq^fZNKXsjX!4K6M?9531w&7-p@aWrPI)HJj66k<`*0F5RDT+xCuFzhYmM4fLUY<
z{6V$(-e~bJ8;XYX$$P#f6pn;<gJoE8JjWa+qZM^3%4DbQ=hOYa!zKSyW7Pivz=mbb
z0^$KWT#DwB$#Z8OdWxI*hsGwPFUt2%bziwbD5Mhm+CDJ@DI@GVqq$b@ft$nyNNTO>
z^J~ttcF1N>Zf;+!s4rwF$t3j^5kq|NQbMzW_~tIOK#&bJLpA7TJ;nb238+QI0)^2E
z(MZVirvVUmBIsa;@lU!5OF-;{@-PP)rryU4Xmh|ueXzza12qu-1NusC-M$?Jf?BoL
z204)AAb*$zoUJo;dYlYxGk*U5b`y@DpemPiqW1aSaj|J{M_dMEWo<|$&@fii_we{3
zDedJJsQegrj5(UY-vmmkxsww`xnVf8J^Ag=hJd6M$l>v8yn+I>=zXyC+VM+yZ?a+g
zJbq5qF#>PVJnqyG4uJq^gz>+MjU|Z9nd9{SHF52D`t&a=;22yEkqQ?G1;*9xB-lv7
zqDl{V6BoLto?w6xwB^6V%X<TwAlQOyojRu~UGNyfGuqZL#4tT)PtSr~k7%w`U{QuR
zQ^v;ld3m4oTEEsE2h9=?<6|&}?*nVN^@TH1C-;i1EGtObz?g^~n%mrU_?w%r9@G?=
zrW82`18)Zhjh3k?IasKXK-0o@KpJMXJAJo70S{?1Z;ZZh8{2}Qm8OV;fM6kP-iWyQ
zzP)VH41dv+rbK~HNEp8)3%)fvFyrSrv@lSFWKdsur;1g)BABk>ruAa3`yZMEn^RO#
z(GFcy&~#@epV@yST^kDqvAm$FD%n_>P0&)ZFS*>!FVO$P3PJ;Vy51jaT;5$9=7hXz
zTh0LHup0&jbitJSAh~V<_XC|9j35`uflBDJv-|`M_xz@{bQ&_d=Rti42N4mdq&cAX
zE<!KJs=XVCXgrrMw_SYi_Y^3Edtk2HKRMcPIoz@7OqO9pY*mNLna3)eoRY75teyv%
z4q?Z4oTz*P{xf_SWr#|8No8KaN!@n0l-MeM;Op1t%N)jOU=bAoqk{gsx%rt|mig72
zH-ykf1TBDg2nayOfB(At`FR%({MYeuM)1eCf+ndWAbNMZIn|~WTB+EA8;>>`BJ=Y2
zv6>V#JV1NFXE?3lz?<x>4O0vknzb7_)jb2z5muT*T$~2mumcPhG!D`)@A~Zgnq-8-
zV^D5OjcsfLu1z7ce-`xRV5m2+EiPc>!@{Fy&?5l7gi2U!0W=n#rc0SGP~H4@OYosJ
z1N(9H#H&wWrv^qX0c->L5eh^}+~;)ADF-9aPDzA;K!+Z~g1zD*flpMruTWWb#S<Vr
z{QPLxzzmJ|5rF;9)6m=p{12^ma<G4E#zW9mAbF&3lqA=hy$x+y_(n!XAe|9GpM-b_
zWN(=*fYWjBjZ94=U_r^4B?snwSE1tIREp3^@LC<<h3+l=gry%po`GjV%v$!I7fqy%
zVHIR`EP}1CuZQ-B7C2Nl(3r3=bi?Dna8X~y#NfeW9z1-A?RMdgAp!Cd2j+`yc*`2J
z#S(20oPYu+KmoUp0*134nqcJ6(ByL!t}qC<&!PE4-}F(sp#V54gv~Y~blud`d($dz
zHxCVV(DGB;ZG$Wd%d+ExK!+iQt~w;}<3}zi>#&VOa;*e!zV6;N9C~%48~gr!B)Ahe
z;G`ox&?lQH<4Xg4tr&1f6W6e(6-4bt&HUTYtkF527z@va?z>zW$Fo{P?)$g;UshFC
z>PQK!_ob795%UZ?K33g@0V@zcxolD$CyRk=@%L~SOB(*FT4G_6@+5;EB_t3mCD86?
z(fi@%;7~tQb>2Qc_rJd8UF0l+T9N~tA{5e_fd`Lt+i?bM#ljTRu;eB5b>@cKfHiX_
zzhbHxs5zJQF|qyqeI4I=s3+in^Ix{Rb()h?OS}iC056N!m7^K<K?quH5Nf6A1PP}$
zfQyu%%YuW^r~OT7Y3c0xx`_izq>Z>BQ@mbYRu(aA239r?1YgT%P$z&X9I5k_F!fy*
zb6@ErKsFE83KPs|&z}zlYe_<+(BI=@1c6o}DD+zZ-dmkGgNGvxT72PFK*N>{c17WU
zU|Ui_B5w8Ho3wJQuw~O>IcsRUt?uILimU0us0Zdv7w99i{dPq}WM*;E(&b(H$)ry)
zan@Ba3b<@R6xXej_u$50=}0<pdpaNkpjGpplT&2H^y6{kv<q-rlp>h0dby*;rJ{`H
z%q2Y_?0!P*mun3<1zL7_x<MA$MJx`*N-IbpRMzZ*g5Q}QV7q)F41j&~Iox2kxJj4>
zR@;Zjc)z~6*7b)9wkZoblCUKUgoBxdg<udx3diz=J&Fgo5ol#g$;<0JKE`$lmW*XQ
zdD$ZX7Y-Di$Iw^@3`XPVD7}o&jvQD<qTaoG0R;<g7Tul<M6koX4JQ`>pSgxh0Dzrg
zGqK7EU}6bbLUJYy7W6-OFazS$moHx$VG>Y}ckb%R<k!RS&XAI7K~Vuo5L?ZI&MyxN
zarnuUj}O=dE*%x%d0K5oWl+0$d9_25+=9hRsjQ@<xW3N@r4T+lKBy?0z$`R(cawWf
zdeCAc6ISy9vESLnr3qFX0~Qr*pRq*6FnB(sPmi}p%52Vg{+f6Jt+`OM%|c>=h$|14
z6KJQx5)jy6@4cFxX)ALk_bZe#J%whnd1ehPusM+UuRi+Cg}ob)%kbpFZ4iSxALyS3
ztnds<Kj1v^*zo}iL;$dvkv%=2fKt0_{Ksqv>vNU#95;F-6uU|=6X>5cn_n(As&L%g
z*=d1bIt%-Obv1mZ0;%E#1V+Rhj?-eou8fQfmQ|77YB{&aICBX+KBUlum{aUv=DS|b
zkoh}rYwLZDwc>{lA3jx8S4YGgakjv{FDfq1-eRx!T>qj(aSMKJ04?_S0x*CF^dPwd
zcp;GP$mNNlKNT)=-cTqr1okgqzdi-d#W?qvPZ9-!KO^*s!BC<+u);j9(Da<!8o{fE
zIanNQNeg{iOw7!TWqI`{Vv0#>7a;M|3YxY6vwd*oly)o1l5}QnPJ7MI%WIF}dkt(f
z%ndwpfm`!-r*6Wr`i)K(f`#7y{sxUn2*Z!uK)`j`+dO#%4|jJX8%n+)EdBN#VDc$`
z_>Be}*>O&F_rk=OKzS5_AvFOv{`ztdH2eQ26td-&I|c?A@F}H#GY=bl0v$bC**dJs
p(PjB3RwDoMdkWw;77T8j;_>LSG7~llsUYx=@=bMgfxP+C{|B?YFU0@=

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map
new file mode 100644
index 0000000..2f39440
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::BoostA2DE" name="bayesnet::BoostA2DE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="13,300,165,326"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5
new file mode 100644
index 0000000..ce8b996
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5
@@ -0,0 +1 @@
+aa422c1101da842a8232eacd485de14f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..7e032fdc631febff074fd40faee8e874888710ea
GIT binary patch
literal 12635
zcmc(G2RN4f-}fn!kXiQ372Vl8o5;wjWY1(}6|!e2%DxC?B#P`1vPt&J-YeOAhwy%{
z`+wj6=Xu}fd5`CRyvO^zZ#h)gmDBnAo!{U0`&nMxR#UiuPlJyj$OR=uxx4UZA%b8j
z<Ke>J98Cr;z#q7#$_jGGDdu-dRYo*|Fd<5EGWXmPSI0edG|j8eZLE)cdCKYUcrKsE
z>U+vPqtwcTXbSp=l~IAO7`hk5GZxJx@85ai;MLP-vC}O&eJ{O5&gxAkwg2n$Dw&&6
zwaU70UiwGY;>ry9t+X8`ON9zDt#mY04VQaKb=9XW7f$YaP9B?Y<`oOmN|WHoU_Jr|
z-Y;waoSP$J6`7!Jz`LQXh~DY={IK_ye*Uu4u^OsL8NKsx{nZt`aoH_iggSSyn7}b4
zQzJvPoIz%x1p6G(lP^ZS73O&U4}zHpvY7liKKkPorr=+0_P>UC!DM$&Upq<6l_)ba
zQ>WBENn)w&N^@c8{9E7Z4pC!cW0f}oncDXHTH4w(>b{5M`1ttWhlYZqSQIY*@yGf4
z=NGUMgEGgn`Bi%~139|bNotn+GuoP(_ji~2-IjApr{?CK6HszZ1rSS0-@AA5IU%)w
zeGu_X*?e-*k%L{?G{2*}yNJum(ESL##A|$fWMyS#h9las=C&iB&-eHDFAU~0J`tr?
zOT7N{VQ>0$)&7K&RT7(e@;8b7v4DVc#FvGHD4gcn>xiX(`!zQ!CSG?qgP8D8eR|l-
zDj+N@_Wt?YoW;e97o}s(5ouG?%Uj#q4o&o~DOp+g8EQ$6%?=e;*x1;(goWb_U&X~W
z)z(U*f4*YZ*3s7=o%Yex)QmANYg;Y(n3?&m!SrG2glWM>&j)2KMoXatT@8)iS)l-b
z|M*w0`air;VI{}fICOZ!Z%Nb?MmuQlYvaA1LrmW<;=X0p*x2au#piHm5!KSubN7tZ
z;AwJSw{94Unt`EnXXi=6k&Y*WQekH13sqHBA;!tea5o|%A`V373-j~2<2ZD0xVpOD
zLVp`BvMj2uPDZ_c^{QcG<MH9)VbA2`+qO7vHl@x4;fNP6UfdF6jea2`BQsXzDXdhO
zlHwN?71g)+gpS7qF?OH5G^^w`6DEB9$--?9cXx-W+Na`A7D$w~R)&jqc6NTwbtEjV
zuBwK~*S{cV+iHEqE;L%XoL6yGiEMmq?2Fx~5c+4i^YX7+Y~riC#YQC*KXr>NHVc{<
zG-7ji$F&%3`wx!yC&>{40)kNq;wx9Kw70jTh9#RNa_dJ*Qd2MQtxvw)-Q7(Tcjq%S
zFj!bzY$=`eNf2{cnR?{2ouGDfS4&G?SXkKS*L2X%=H@h|u~&DVI=zEcBo+@ZZxlR=
z_O`YMii&s|cke2q(-a~sJUq(pR%T?d5#Zy;M@7jnGBVPH$)n9&T!gABD~I~}z8xNV
z;GR3T-LGwIE-Q;25)wj9L(|&VcQ0AOGj?KPA}2TZL$}q>kzyMWpWkliL4QI&2L}fM
zD#G@zE=v;=CaIHO4-)Lqt6j~yy1HYZ?#l+XamuJEDw;St@@eN8v?wro$2@)dRNUc5
z;1-pQcWM7Qedo1_ssy+TYJQtMVn_9*h1Tn(i8){E>kkg*-$tV*eNVk7TqnJg_C9=Q
zJWtNb!_L0^ysO!z!X_#)kq~pz;(4$lB=)EZ3k#Xr_)fOsYM8jVh&-woq>gvU$HvAU
zFZKP={zj0%qKFy_1o0cMaDA{gR`%G{wW-?s$V7mq!0W&<G7zff$IMKDWfw!F9IX80
z_q<dZ6ugp>(k)uffn5D_#Kgp*^kNh<O%YAdCTvTFqh9k{nl`+=q!owdhf=(OM(wOm
zGNLw5j@GgLI;uyP0&+zY5)!7@)`*m>_tS4?d*~@>H<s}mQf~{|44BNdzlK{_*BTux
zQjR=FL>K)1`)zZPYuE7M&S}DMkM>q&;lZV*r4=~L$bb3r1wqEf$9W%3h_6gk(ZX6h
z_tzS}J|n<FZr;4fLq$j>XnpbW<;x_bq)+L^T%^$`LPklt(b7i>^76R27ia=Me!OaC
zVNsIF#>6CjP@|R+&~5d3*g~Dtu>9hq>H}72LIJCzr7Yas#OsyYM6Io@wtIipCmgr%
z#zy(y%f_eH+HLAm$ASIX+5u(>yAru+>@#Dp^Fj|k-bpL(PZt#SI=X;dV`sn5_d2ED
z8VhL(r?3D1PWFzDPH;@j#h>%@EU-9)gn}Yn+<yA&v*3`B`mr*ncfE@-`r24nSR0$0
zGD=D>dKOz-ZwUwpOhL<tzwU6Ef<p(XGKzo-6hGeSbz68B6yqZJ#@E-kM7*G6<a1o?
zqZBwN_wL=(S*^&G9LnNnVnULWlbhSyzr9zA9-;G`X$<?~v1?uNNJYQvX|AZXjg1)n
zd|qf!T2tjS!_H>dNm^lh9E48Fht6|vrOy8>!EFNr!bguD1qKCSBYSJ(A#nXG1{&!q
zPb(_Kv~qNw1_t6>@#D8>msVB1(9_c+O$O&S_{9qu4-Zjj^CYyiA<$mxCnp(sd3jsy
znDlLn&m(%d6wc1httUamjE!t>y-b~{ksS{S*yh_>TF=|tRodT5F+vZD=eh6ySLsNI
zi+{2o7p**6s~9S>B!*TQD$i14H~O4d@>fc|XDRG|#>`j}uj|KTgOv-kLZR^82nh+_
z%ctGHapO#wJc}wTd4|gC8?aT+0|R*^C6n7?IUhWJ%%iNVtb~TL#;NViP%nKb%*h$X
zz`#JqXNFg-$4SYl_YIo=n+^-Lc%G+ud3khVE*$k=zkYFE9uT5r*3LK59C;BDF;Bo<
zX;P$$HmLRzaTcX_T^mzEtEj2XCAm&ye(v=sn>EefjeGl+k<sVZ{bUg*`QawLN$4fH
zd+&-w&2{IpG_ybUE-oxB-Gb(Yi-U93)w8*T((@lBHQbP#Tdh-ZbBH=<yx1!D^XHgL
zmoBXiyp{5;R;@EPH*d}T+>s#cH1hc&eaWEX{Pd585W9i4!gfaA-%$z?46A!p4{hww
z_mbT_3kUW)4^6VwwnnN3;n;3Nxf#*~B=<S6z{XWS2`XkPt>|fKX?YQiTGUXe>C@BK
z4}q(Ys!Qx%obWlagRar`u8F*Fy7nnH)4>onvH15n?WDxL^mk}9nfTF4k=xvBOS#}@
zv=(s{6cVJDE<OAG+sl&P=r;AHkebXTxyZAcBr+8D>XzsZezrtc=>{>4MY_lgSP4)n
ztqm;ic79ZF&eO>|ekt!8m(FTAm`XttHkVpt^JNuf;n3jgQ#UU*squx>G<?MbCpi)&
zzPKXVmp8wD|DtFyDx@AO5eo@BJMHTuci7T$B{TLqix|lj6vBhWqkG6SF}(ZnHC`dM
z5??a%?rh4d;EY7Wh&L~o#1u`1nxt>&WVh%q{NM<8F;&W9^<QD)BUP{cn8OrG^K$W7
zS}>DX?Q*^bi;~V&ti0A+=kp>r`rzN8W!S+o&VD^sD!8OWb*!g9Jb5z%cE4UAlW{?)
zgW2>|*-tu9N^X^d1mzckkD6UdR`jhoJ?_c)$GtLKT3VW_VOLwax^RQ|1%F{u0S!M^
zHZ$%OH=>0I>METcI~knePBZHB-)qh6DxQC8<|FecN*{e1uQ$|9KD_gtOq0xHd;2Y(
zfuPdHkz2aisrt1tRk#j)S!;a1ZZMYgnK482;K?t=EE&gJnKY!=@u%vRwK9HhtuyB7
zb5CfnkBP>b@jp-!;urmML#>(rXDs(0z}<h}3x-k)M^H`s(OwhDb`wi#dbq@A{S@PR
z$SemP`J+&a5gHk4$8l97Ma%OnZH3};==bg?CntNhd$B^7I%<A*of>6OIFffS??#%t
zQ~D+FH*;QQVWIENNg;y~^2sy7H2i<TssCJx+J&t$r}@a3n4j%riRtC#H2IZV_zZA9
zRbKO*Jw2X04g2xK)cgo=+{Tzw*SpNj7Urh>tgNq2T@pcab2j^B+y-C#ppmbP6cb>&
zSYsG1y`zDGgLPzETU)_{CL+sN6H0(i%^e-9TPOb-*t}x3H!wC9>hFK1xsVW1R8f)h
z@sV8nGDCDvQ**j6Q-erkjg$HR2GpD_XH`#b9~v5RSyf3Ee+`X~O(`}umQ1=rG$-s?
zuB7vTF`AH=*b?AThj&gGo05>AU;%8w+>Aa@2tK%l&SCfBEH;_F-Q8LA73GDsH8myl
zb<aK9fx*FOR8e6e6$67BfRV$aBd3F{SyYSr_8c_iI}e-8_;{~g4X$uqXH}xOc#(&X
z4=tJ$j*Uw=#hzc8Dt_>&auYX*i2fEgH#ZU8^+@>ZWhD&Of*Cee>CRtORh8Lob=~2I
zoKcx$gGGYtxHIJyrPPE3+ETkwd9*>PJw2n_6xN68fi?h25?G($*SK3uObib{f3(>V
zlRhnhzIS19?#GY8$4C2?-rf@MWK<|ADLp(qwpL3g=fdg5ekDx)mVa2UH`&(Ox-d7_
z2&^DdQd08wj}Y$ioyu&!W+Xm7zBw!F+T83cFA5d-#~**7TDsE|_$4F^sRh*4)iLX0
zVF`e*5ugb}wXCez0#t_WdjZgukcen5JHNX1`Ey(fN=kkKffyi6;+}gPurghJedV<7
z=3<*c$KSs;QTb=7k(nPqtazy6-@fevR^jt|vq@+aHTpIRHu%f^`sYM(uIm#3w$u9T
zJ9cGCgea1BGmB125(WMPT0}i8TIUqR%rL;ArTf&>NXW~VG0yDTc|X56%vcrZxB)6`
zEo^`J5`S)PuBWRj;^D)Gw$|3EadB~E$sd&C95;V7pjv?7^$ZTi2?`1V#Dx#cjB9_*
z?>^T~U0z=9czn3~8$jwGZG8DgRU>mRsvb}K-)#eGaIn?JJ!%`hGSPP##;f<y-iH>m
z!ZPD!rcoMr9!s};#Rv*>t4sUbHm2&hcB`JT_^<4YJ_6DyXJz%VknYl@vsFgKVe$d+
zmCPs<PIq_r&=&_50|NsDSzB9+7k<RxvOaO4XgIXWbKexe6ygUUg^Cb2ltvJrl$10$
zIJg!bERz!1b7IDD46b8g!4AN^a09p`A3y(SA2|t0%5US0-a0FR5!<2)*uHLHr@qJ8
z$Fwy*hl^}EMpZPZ(VS92iju>=S0^s%?B0xm*7sb4>elGC)=Jkt=HvvnnE7jEpG5#5
z5XuG--MoLF`R?7jk#FBd0MtaJb#&slzC0tKybM^}X}<HBT1Gt_Xe<MQ)QAY;Teoh-
z)aB*mV1PE4VR;~MCsROP-<Nk4RaF~$)uqCM7(5goYNs9S@4G0c*cJ~P!m2iQcH}H9
zSXouy^jVBT`*8rW>@vwz()d;DEe6)DKC)aHc2#gZq#m{vV&CV8V3Z1%@Z2+jD_`Z}
zdR|&84C}-~065>gb0>-{?+=ai+VOFEcC8%g8#nyPYN`1xQqt3Lp%9o}z<~eu?HiMX
z1pV2wXM@AS8fM$#rq|aa;^V1i_o6vVMsSc^t&s9^QS(y_F^^W4TzouSUyr>!kXv7|
zUL6A8x7Lggw%2sD#O@dHcuZ3*7OT!J_|%_~yjLpbt^FanJu2t|Z6jO~7Z>+#S~m|f
z^Hce>C}5)iHs96MNXg!~LB+_}W!@Icd;NO+hYuf6E$`o>&P*-#W{iGLh>ev8N<u`<
z7pRvT8$!Wp>g2@VVZqO)5-+W-tqqSq_Wu3*W97~^2_g^L=+LN{nVEyH1l&Wm(Wp3X
zW3?o;Ca7*SDmpsaeLl(c+NwbfM;o7ZuHMZgH3hgpd081RaD}qv8zo6BqckBf9kTzd
z+ys`<rHW$xz@$6l4MsL_S2-U)T9uysKG?Ry&C1D9DSK7ozHOnFAe39br?)0<Q0Z3C
z;h`IQFcTrQwa}e5UM*~wtBSrgRh|YNqA7xL9>!Any^vze&d@GCvMD*7Fw7!ybnWZw
z+emm+JsnKS^2PVmCx}t~6Sw9>@dD=A{0+W%Yz8<i<5<RU5`6|!*-}$eq5jra_yQA}
zIo;(c0+(O>E#1h@HHZHiJ0tU{Ax|b2wMdJO7%uA2A1B_5oQ^dAU9LW?`_}-bwH#!6
zB5O)<8WZ0jB~n3DT(lfSg>To<l@bz1*@~5tM<i460~JzabC=zrU|!lNIUc{3*l&{i
zl#)&kXZWciAh0t$G679V7`&DFETFwBB|DBSi>ZzrLDi;2PnU|wJGSTFoSgecJuD+G
zv56<RFj%Nko7R1nSgeRukX*)vMCpb<PP~3@p`x^ZFaBK--r~o8r(+80Ef+ix`$0QC
zqgT^!DOmcQcdoyihl^mLgnw(D`MfGb;{AloH0d^a31Hrtf=EPc<Z^|{{ro{ES`rNc
zG5tg(->^Vs#2_a$?<V{GDNp_ntrNK_<8Xye0kSz+|6C26j@q$_?1eohf7?f7$uU+E
zjW`B);=>77#)-c5eGQL24v^)fFp!>~xkX7CXzP8O%vY{Q4Zc3yjKG5Q<2e(ngUcpA
zi{mo&^RwePNooZD4R$3O28{q-`#1IMpQz+-Iqkpyg`w4eY9}Wrbu7G6ZBOg_eniN3
zVpX-gpXpCLfJ%_=S$&L<paDoNp9WLwSxrq%)tig=RPqPYpwS<{eZ0(E0pm$rT%3f2
z#H5S$>?><qTRCUv;_(r3C$oRU`Z74Wx6hKo3o9Ojso9-LVnM)MbM#9)se@eK0CNUO
zA*<dlzve^~myqgv+ofXjW%n}2S$reURlywHB3#j=&h!1lb1{DleAA(_qnc)BC`Tu!
zipo<^PXZs+98+AlaACDtQS?(!Ucqi9w0(^1*U`~YWuQ5DeKvGV&(M%wG1d3<WVJ+7
zTf4rg=^VPRijv93#%6kU_H0=C>V76i8?<n_+qZ8AMHK09e9X^Z-)JAYlK_q3dAHSy
zmYurf0V<YLe_+vPz<M!<c;Ju-0jA6vtt65rBrIHSD^y=!4@bEqIWCVOUsz;y0p0~I
z4Udp85c(|4NbG<*1ZnQ<l$VpkfwoIZMHLL%C<DUdd*a1mSpHd+wyv)3*Gf?rf;@Zn
zj7r22g-b+-2MFr@`}bEZ%QdsLm<0qbPESu$30RSAZEYb2M-EG~v(Gs7OKO2yS65fZ
z3p^wPVqsh2zCZ4omYRAdLh|sc<lzDfQhT_&%<Fyl<U{pxoLH|e=KzqvP8dRU(CwE8
z^A&&udwF|r0>1e%8)u9e42S#c5tFAU`-UDydPRZ*rJwVw50}Ocw&#a0xx2gL)PDOW
zr=_XM%gr6Z%*?E!q{OTg&LHt-ad9!m{54QgPy)?lWU%=8_!eenWYfA8(e0g`>2YzC
z32)x$7#nv@O_{*;vTd!bOdK3|Wo2bwzj@PIWZBg-I+{>iTnwnmpu&X{dZ9WR1C6kF
zxVXY`1D+ln8~~&L*~I8;3tXEJAKz3<E4C*;Cx^p+=u_R2qmB;Mg9i@|f~0=G>(G{$
zm(M63T9UQ&K3B_@?B?%Ll??I^8`AkkFa!wn@1x06HKcEOSLkgVMo%>X*)(IO=hA%F
z+j(tcZ|6?;7saV;GF;cL-5tm^C_{s6lGb244NBM5Ha_-i*Wwcrl%=Gk(m#B_06QZi
zqg!sVT!yU;A(YW54E={EH_+Gj-Gm1|ctk`%8teQCpMc}H?k*2*!?RE4XsZMvCSk+i
z%VU{L^SzZ}uY=h*yOQBMkz(W&6pfoRO-=y1?5ay_hkG7!mS7%QtdM@=;nr*$PAzx!
zuNxxIwX$aijeYI5-5=8b>}>qNzCv%7(Gm6U)w8!ghkpprT-aM34RW1uKL<)01~UII
z$SDja=!5l%s$V<3>i<qayO%H%N+&`F1HB2pezQsHgcNj=;Ly--AXxAK*f*~kSSRgX
ze8NK$CN#Q|nUU;~)hpttfZ2BKCEM2;`-@Jie=zcz1{SKKQ92wHRsuBHUCK7$RB^Pk
zpP96^w7#10$z)gU;eLG36n=l<`@5?g9CEjA;e)^q>cLqAkAOgfq4e?ejc*MN_d%ol
zzW5|w)cKm9je7N8s41lWzm~`JjdM2Q%93-1=rhywY<KIlk_tIWZMHpZ1xt(fDnHNV
zI21HwQhNSxWiMk-o9&4z&pY?-y(ip@`9ouBZ7uu~yA~5Ovy8jHMSJ|yH*aX(fB5he
z1u%|;oIC*3crXi?z*E4q55O&^rlv7$LlpXUXZ*CXHMzbaQybIuzkWum=Wt;UCU3w=
zEIwLVDT&RMe4=IPs^e)?&d*i)d9CyR5gc-V*ya`eFTf!>3JQ6I-iKbq@tegz%5ix#
zCp()30e+_Co&&X57jVu_k~??4IVnt8`{NJO{9-s-TKDcf8S0LeVQDEW<ZCTdL1TDa
zhHApVeNRs9BT8-~+ajY_^OIjQ5#k;@AA8iab#0<iHrCcwe6P#<jnth7KoWO}E1qvK
zYSJ)_tVl~we?IB8eL*3Vstzce*p80>gJH4e(!PY}u>Tv-L4UlqOs<3Bk!TqHnB3t|
zxo`Y$DJqV6EYLoazmQ3X<!}GWC5c5?Kp>^CuqRm+|C;%_Hr6VInQp8qsLmc$6Gp08
z{;vmp7IvdVeXnc^nK`;(-Js+=@ZTmc66qRt{y5I*e6$*iVxEpGeX-)=cqPlCl$iJ8
zh;sA$xC&g&NF;>)jN}{Ee$finVlr1wI>n4S1B8a;jbums_#$>71E3qGGwNp$lwU2m
z8ka&pzzUh<P76P!#w&`gEjLPZcoxzW-aBScq~HA!y28YI*$DmpFgamNA>ew(rT31P
zn~5%ys<#FzLs9kp=IbX}QB&cho02+hF;=ojyxBA(_9GzZeNmNRGzM*8TX6&j;W(X3
zPzj7Tx(?<YcBI=GIR#%vS$3=t&#IJBKfJ=ED?W8shfbEY>M4)I(rj%hJ)|*86ca<q
zB;f<c#eiQES@SN;{<iAxLE0i)c&yibgTRzj(czt)!sTX{&pYd17;B{w3MGFfv<Vt1
z0@xOdrGwy{7Ur9<{TP4bViq-h&V(KLe0VWy5<!A}ONQe%mK%C-rW-k0EE>_a7S{n`
zl4}tBCjjDa_3)pF;=kpE#Jz$-a7FmBc3cNGJ(bgkr_Lhq@6vk4y0R^Bt<1z`YSjn|
z<<o{$90QBOC-oV+eU92r-@jJld{3!}eu7&|-+8^H*PlZP-S+8zJqa1vj~p@_vGT{$
zXP`O_L??TBztQ~#iT=X^>|fUu#l^$~g0?JD5o*NJ#+U4Sav-z}!<qMC4@xCTv|r@r
z_&594{98b05)Hpz2nh|9v$wa8+k0hBogid)!`WF7X8pM&wIFgfH50&bZtGS1_HRTV
zQIxh*m)-me2kqtC1EKi~2T5%k=<5@J++rnQSCen9D{pRo#oymw)GM*UR0i}B3@-a1
z#BE$nnASa%I}*#G+cQTf?z(2+1ty!@;bO)sXVjg$cm4hRkcB7ZLJ_6K9eSr8cQcB{
z`7F(Vkpon~!NvVLI!X%;>(e?D1TnL;WVw9#3}6|6NB4YCU7+<V$8p*9$^#IQJX+yL
zq=7ukhts`yihb_u;2<RkEK}URp052_ns^s3+;nrhj&X1*E5(so;7U{fL_x*}4#wKr
zmPH-FIB8+VyX|x<Y<4R!Vj%<h#t|^%*mn(U#z>=E0*#NCv|G0(Pxgf2-Y$!Z(trR}
zdkS)5t!crNa#(<9md2-P&}l?nPky_*TtZk`SqrnWUIO?bJb(T^j3_0?orP`{b@dF6
zHV$_7w13S)>>8JBLJ(3MOcvl@u@irSTYLULH5AQm-zEVOC`J;{mIK)5^jrxltY=KX
z=>Yx;0QwdHzcdV30x3Ze4WtwtT#RRR3k`Ssz{={Xu-%B6Q$p^E^F2%LL@D27WAEL5
z5w@nR{asWuIB2aH?^eWq?7AKYMY5>#%R-K#)Kq`4)pxeHAL!}P0FYalo&6yG2Ryi0
za2%A-Vy<iN!861(ZXPO(W|f!-%8=z2e0t*SJPT!cu-zr45o>N#<?-rgO@P<**RvmD
zVS(F#IZK8uT(Nt|FwicMyK0Bb*lY8q<iXEqLOi^wqAp2gG+3wDK>tU?xd2OnCR|+B
zp><lWZ%JTz?jZKH9wFUzl6UXkwK{^J13uDUfG0ANL{35B0YJCM4rO~2m%ssUPY@;s
z?eY1rZ6l2I0)Q5X^qo7Tgt*x9VKmQzgYo3#<V?V+i$tCO3-*A7`&1?Xml@2u*RNmO
zEuF{1yM2=1y9h=pU^NX`e*>`c7Z?i@Jj&*_wtBJk$^aO30PC<osIuE5K7YOr6f|4=
z<y)urf~D;ZMsUQyzxu4liA)U@JfISNauuI|APSB42fsw_=1nZ*>({R_O`HZ_NWe^v
z7jxx$BAVnleUXF&0fQRE%&Ril|D{+|x_gt(_qFz@b+3_L_0yLxUrx=>2Z1nEJUqe2
zRZ=p%G`UL|So%_bF4R^i0pqD6wSYJ=elLg4C#0dFVPkJk9*!Df0>JPpz~HZf=B*dM
zR8%|wi&s%m@%EYP4;l$UlwjiIR4prn<iLMw_(htR_0rh=>G)}tUB&VHOC2gGCq!Vx
zLiJu{XO{&PYp&~UL`n+NpXRmr7GCwyn%M8%eBZN=SMBRD=M-+LcCMuJ(A7K1|H60@
z3-SNC!^i)xI(%B_(`1&?WR1qArtN2xMxTaRmAH(n6G5+rV!t<+1AscCM{RjFR>X0c
z8_0m<?~QtKr@7Frc!2mt>Te|p2?)}F_4w{rOm>^`4Ubu5`_lIhU+PR|5mR*y7)$+!
zmq$-zrm7lNXaLy--B=}bg7Bj`$mNLI=FfK41D_bpi8Fr<IRcgl28pcCy_y3fs1`t+
z;1%4}(5Poo2>%2ex@}Z++1PdYqKr!lyyvssAxy_>inG5yx&HmZ_*x?UPkoE<F>)|w
z-S&npH{1EUOu*sp<WhK?qCb~+Qyq$qSxRbh*c`7)y5G`ldXM>Ue597dvb^h2QN48K
zy843$X&MphpPBSIV!eTK%l0w+WRJDUKiG49Xzl3287{vCZXF37iZ_J)WSc;8@*w$Z
z7>SeFIhKt;)U=Z2;5!!yU*C7%Gq32<5ls;yRvdVz+blimYFtXiAe%hB%8ccA-mj(S
z+-7H<LWf)=y&`%O2aglUl@p&`@#s^*8I~a{62T?=s;4?}gVNIBGr96zK~l4GQ7_!i
zoSr0keEs+ifXzz)HkBu$g6P0!WK&r=F;n>G)vHcK8{)<MsP3J+8rEn=@|50oi@TaK
z+T$Of2fJBX{6)BAR?~lB*OeDbMlZ3lbvC;+TDRlmJg1785=oJ=*fCWq1&Ko}+8iZ~
z9bLRi^YwC@;zGw8`*Wt&_Z8I5dS#XGDfw089{=svy<aOm*}d!_U&5kIT_j4tizxb4
zWD{<VesX!gWGuOAhZBCrZKJ&ZkDA{{LCXUn`)l~6;a7&+b<iDzm_0Q8|7X|TC<VLD
zwdQF2xR4{H#%1y*;alE|$opPjZU-06Qv5La?IvglzRvT!<0oE#qJtFC0*`9_u*SU?
zRx|ldM`|V}_C-r0^=0ksIL&k?&ej&l*ppIF4D<%!`)h)*Ea8zD&+?yy%l=fu>Q6h9
zjq;m-WAFm{P+(k2mm#ZgS+y?e1f7{hKD3tJb!<B3jnBz}<<Hq!W*F))7i~(bs;e2G
zn>}`Nss}(ewX}qf{QAA!bzcB-DK*4YJP4@5tM)Y(78YMkc%Hbeoc@Y9m7c8jUL8u<
zqw|r^%g(N!t`DO3rV8>r-W_y+02bG(GMTZ@!4()95T}7`#~nSrmykoEJx9#&<W>^q
zEk{SkjV|AlqVW>wxYG@k#@|kkj|$A&C@MD_X(0%Ph0uw+k<8A{ez(fIISV85SMS@C
zKp>8h_eOrrB|Lfz!x55arAJE_st)7S!A-$O1NmJo5d^OCXtFx;{aTgv#Ly64lG@;!
z1L}^kF)=rHJ`p2Z8($tcFVnA6(}ZYgXiS6>Dl|vGy&xY=d^+j5F5v|$h!=NvOc2H3
zISl429&z#hRGgazI3T0N>?^Dy<Q$_H2`C8CAfLnX5JWzW)c2sxcmtXS6GZD+qtDw6
z=G`<hVzB5a-_w2$!!iU02m7ia%sY6e0k|!%%ZiTqF(kPnl%iRkZ9-Q*X#3k1=zIcK
zlupDE2edH=FbPv|8xca@0m58l7?lFH6XrGqe0V_;d!L@33hQ+H@q!I8AeaC!LdwV(
z0VZ48`}a6tAp{uZ2We$DfQ3RzOG}`H-tax$_x*LaoDaSY9?W@=)GorP34(%I>d)RB
zojjp9+Fw`D&>)A=x&hh`1NcT-qXtzTf=kQGn`;&8mzkNdFj*#$y<9Q31euj{elBeT
zjdfjJ>bfWJKR$UMxhSFoA^iiMDfRYzSCD*KK^cI>lZ_y$&)MV%4Ds%KV<~ZfUVsB+
z0mQD=ocbWrpmAY@Qflh+$am{vjD7-G^c9maH&|J+&k5^5Z|Y}l?(AcivA44FgDwP#
z$J<6m;gD=WhKGkSb_?i5;X^|@q161i5F4wr$*+38uwaGBUx7X22EO3*k01Vki!csL
z-^V*v_V$e+SMmUBXipR&#|^*&nN-Nj%L|i-;;#8khRHY?7#eOuk&;8qN9OKbGCvzB
zm`oBOU_Yi-R?_L0*w(>wbpSC@-;V#vm9yNH8)qmu_1=q5gL7u>)L899jerojQBN!d
z!N{1nxEY9FxviDWBL<%8GS=4D;0B(9_tiHrU<$_I#{Pa2*d4j{w1U<#{ZMagk5`*c
zy!Xe0B)t!(V0#<kn7v|(pyEA4D`b0n&(7Xn9(FKY{jL4B$OU5JCdi78<Usmo{kF03
zq=g}b>l#C;dp{(O1she^Y{G4T1d9!anF<m*YRTf~(cqtdi|2g+LC)K{x-a0nq`<Q7
z+`02fhvT~Q(nUWT%U4iPvf2GV0EF=*bi_+~iz<RPiw%IW9^R25gVF~B+P}`E7B+t4
z_qN?+j<97X-E1l=2L~aXUJ$($L5ybb+K|a^Lt;dL6~ifIdV!%P(qP?JR#uXLjx{xM
z^IqGgtsUS$y$Y`bKDD=!Ves^jTCiRpAMQMa9V!{!hc2K4<p^Z&Rf<0U<0)zLi7{wN
z()oj>2j!AO;XUk@Ke4cJKOaPix^0+v9j%rENX3N8fF*&miA&6oLl_Qc0+xImGG>56
z$szvJ0J$+N1d@-Kk^tFmgw7H&n|OG5wW&8lV)!+Ia+yAO;Ls(pfAy$1S=+i;FTTSf
z!EUb)lNM`_VrOUH9I?s24+{3jygYd;E31TKZ*Ol1u~|9kYab5kwLRO@e^doa6sA<d
zoNdT~A&*xx`XJQhzg~SrR8UY5&u4xsWAGXfGQ9KW9~P<YI{gHr5ahr=Q+!-Tm3aR^
zwI-)0$8L)s;&@<rNNpQ;O^!GhbaDMsd(F;oz!nh%ymdD>H<OMxf~|gogM(>hWz?9{
zfay3uRr&@8XCPpwsH|My9L4g=MPEvZ(^6I6ZX^WQnV(H5>S%X42z1!b!$x{~`0zaw
zMs0W34+(BejeN!=fcGbk)?K4cW*ARvp%i%m-9msFqE+=B9Ty;$@ceEXCv+}_aJo8Z
zJDxoF;oa;S1iG=Cz+cXM*$bqT@VE$-Ba7kSd#fP;W|3N`qC1+J9|D)d#nwRkYsfRK
zAfczv#aS7wIT56xrFHn(Ogh`@vpv_*+|{K3ePY6Wo*vSEwY|OMfb49Y5}Ii+vSCOF
z0rd5(6=TpKZI`X6zwCwGhH%!%h@RK!@jjTu&j4m(yzM(_^6zqT2-(yU;VFpz03uuu
zMF!L($2WHwuqk0yb~Z*!_;qmbhcP*;inOjS^(|#(2Vl7|v9YG0vBK%NRh6586BZWs
zF*o-nWco0!4FKADxToH9Rhz-d<qQgss_Ic!PmfgX&StP4u6rK}oNPw;rogP-pYY^n
zRZGNELPthN2S5Us6jF1)`tyCB!7P{tGAE1S?}Su-p6gYV(A|FJpB{35kO25B4uo&0
z%!v(?F@ypE>NZn%jxkU^O-4(L0*yvPQl3dbNa#mt&9PmOW%d9jNBE#Iv<^amFz86>
z>BB(u_>)ix+tVSR^>O`j^-Hgvu0#0y#*G`FOdIf_dqZmCerKY{ugTM6<6nn|*Jd1H
z1Hq!u8ON=)IMo|;hw~^WFJB_oMno@q5ptN<y?*hCOGx}_u4`lg`e1=xh<vgc<eEL3
z459}R#;GU;hC4<A4+|bmO0JBS=8q3m@AN3IrZevitQtG(l|Olyh*EmH_w&~0k`f9o
zF0NJF6382gCaINW=)+S4XdsJ5L9XTp^hbK5?=bk&pi_aT02EAXAR55=S)hw>z{heu
zdk02vQpVQGPcF~P!)Bxw7Lq|AYGY$#p$FK}e6XmeGB_`al6&(~ry^-$5zGCQayiEy
zG5PtADvqJz?!a70Or(Q+Wleok@tFIUWRz0tlMfX+#pi38xr;#OA6y!49l=~{AuiyN
zyzpx23V8id$;sgmo&Tfs9ZuaFBMBDQrm4CB2pq3~xvc+9)f3F+HB7b-qs~2J=!)_@
zJizv!!W$>zYk7o-&-v-$VELhW|NKD&_*n$|+EeVw^UUt?#r@Lo(-Mf%O*Of^8z%n$
E1J~F{fB*mh

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html b/docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html
new file mode 100644
index 0000000..2bebe69
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html
@@ -0,0 +1,193 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_boost_a_o_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::BoostAODE Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>bisection</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>block_update</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Boost</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>BoostAODE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>convergence</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>convergence_best</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>featureSelection</b>(torch::Tensor &amp;weights_) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>featureSelector</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;BoostAODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>maxTolerance</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>order_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>select_features_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>selectFeatures</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>threshold</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>update_weights</b>(torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>update_weights_block</b>(int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>X_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>X_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Boost</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BoostAODE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e.html b/docs/manual/classbayesnet_1_1_boost_a_o_d_e.html
new file mode 100644
index 0000000..ba60471
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a_o_d_e.html
@@ -0,0 +1,417 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::BoostAODE Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_boost_a_o_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_boost_a_o_d_e-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::BoostAODE Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::BoostAODE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_boost_a_o_d_e_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_boost_a_o_d_e_inherit__map" id="abayesnet_1_1_boost_a_o_d_e_inherit__map">
+<area shape="rect" title=" " alt="" coords="12,300,166,326"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
+<area shape="poly" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::BoostAODE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_boost_a_o_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_boost_a_o_d_e_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_boost_a_o_d_e_coll__map" id="abayesnet_1_1_boost_a_o_d_e_coll__map">
+<area shape="rect" title=" " alt="" coords="99,315,253,341"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
+<area shape="poly" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a6b0c6e029103b8563c8e15acbc40b3b8" id="r_a6b0c6e029103b8563c8e15acbc40b3b8"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6b0c6e029103b8563c8e15acbc40b3b8">BoostAODE</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:a6b0c6e029103b8563c8e15acbc40b3b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aae55c59089f73e8941d4917dcd47dfbe" id="r_aae55c59089f73e8941d4917dcd47dfbe"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aae55c59089f73e8941d4917dcd47dfbe">graph</a> (const std::string &amp;title=&quot;BoostAODE&quot;) const override</td></tr>
+<tr class="separator:aae55c59089f73e8941d4917dcd47dfbe"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
+<tr class="memitem:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost" id="r_a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a54bb9e01bfce0c4a3f3b1ae890d1f646">Boost</a> (bool predict_voting=false)</td></tr>
+<tr class="separator:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost" id="r_a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a2590c3315a7a6d40c5a5dffdd245bbfd">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
+<tr class="separator:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a9cfd66816a83790434bb7b1a3cfd8607" id="r_a9cfd66816a83790434bb7b1a3cfd8607"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9cfd66816a83790434bb7b1a3cfd8607">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a9cfd66816a83790434bb7b1a3cfd8607"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
+<tr class="memitem:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost" id="r_aac58b795401b3b7455fb2ce0831460d9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#aac58b795401b3b7455fb2ce0831460d9">featureSelection</a> (torch::Tensor &amp;weights_)</td></tr>
+<tr class="separator:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost" id="r_a413f675b6c2d72515a0832e125f48fb0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a413f675b6c2d72515a0832e125f48fb0">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost" id="r_a79e4c58021af69e26126c8f58d1c3b29"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a79e4c58021af69e26126c8f58d1c3b29">update_weights</a> (torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost" id="r_abee86d771210899db79678a2f31823cf"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#abee86d771210899db79678a2f31823cf">update_weights_block</a> (int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
+<tr class="memitem:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ae19dc6d4d70c74baf8b801a22a935a2f">X_train</a></td></tr>
+<tr class="separator:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a023913d253aeb83dba60a15f61a059a5"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a023913d253aeb83dba60a15f61a059a5">y_train</a></td></tr>
+<tr class="separator:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a3945ec0bb41206b421632fc999eb7252"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a3945ec0bb41206b421632fc999eb7252">X_test</a></td></tr>
+<tr class="separator:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a88de19ffafabdcbc0cf8866d5c059138"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a88de19ffafabdcbc0cf8866d5c059138">y_test</a></td></tr>
+<tr class="separator:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ac8a53b6bdb07aa4f8bfe43515da8228f">bisection</a> = true</td></tr>
+<tr class="separator:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a9ed44d620c1f2e5c06c3695585e40860"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a9ed44d620c1f2e5c06c3695585e40860">maxTolerance</a> = 3</td></tr>
+<tr class="separator:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a5b4a91f940ebcfd532c73df0018acb3e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a5b4a91f940ebcfd532c73df0018acb3e">order_algorithm</a></td></tr>
+<tr class="separator:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost" id="r_a71e17067522a19e6d23ab503aa7cc16a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a71e17067522a19e6d23ab503aa7cc16a">convergence</a> = true</td></tr>
+<tr class="separator:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost" id="r_a985df40f71dd9a64d0fc9e66ed41595b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a985df40f71dd9a64d0fc9e66ed41595b">convergence_best</a> = false</td></tr>
+<tr class="separator:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a57bf7c3a220afd538287f88be41f463e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a57bf7c3a220afd538287f88be41f463e">selectFeatures</a> = false</td></tr>
+<tr class="separator:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1dd29281582d7815c7b3302d61492bde"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1dd29281582d7815c7b3302d61492bde">select_features_algorithm</a> = Orders.DESC</td></tr>
+<tr class="separator:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost" id="r_adb59196a4e112d4c1921d78766d7b966"><td class="memItemLeft" align="right" valign="top">FeatureSelect *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#adb59196a4e112d4c1921d78766d7b966">featureSelector</a> = nullptr</td></tr>
+<tr class="separator:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1cbc839445860d3e4c8f5a11359c58c3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1cbc839445860d3e4c8f5a11359c58c3">threshold</a> = -1</td></tr>
+<tr class="separator:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost" id="r_a4b290f030febf39c41ff679990d9cf4c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a4b290f030febf39c41ff679990d9cf4c">block_update</a> = false</td></tr>
+<tr class="separator:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8h_source.html#l00015">15</a> of file <a class="el" href="_boost_a_o_d_e_8h_source.html">BoostAODE.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a6b0c6e029103b8563c8e15acbc40b3b8" name="a6b0c6e029103b8563c8e15acbc40b3b8"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6b0c6e029103b8563c8e15acbc40b3b8">&#9670;&#160;</a></span>BoostAODE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::BoostAODE::BoostAODE </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8cc_source.html#l00016">16</a> of file <a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="aae55c59089f73e8941d4917dcd47dfbe" name="aae55c59089f73e8941d4917dcd47dfbe"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aae55c59089f73e8941d4917dcd47dfbe">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::BoostAODE::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;BoostAODE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8cc_source.html#l00157">157</a> of file <a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a>.</p>
+
+</div>
+</div>
+<a id="a9cfd66816a83790434bb7b1a3cfd8607" name="a9cfd66816a83790434bb7b1a3cfd8607"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9cfd66816a83790434bb7b1a3cfd8607">&#9670;&#160;</a></span>trainModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::BoostAODE::trainModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8cc_source.html#l00033">33</a> of file <a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a_o_d_e_8h_source.html">BoostAODE.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map
new file mode 100644
index 0000000..9a88f80
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::BoostAODE" name="bayesnet::BoostAODE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="99,315,253,341"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge5_Node000004_Node000006" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5
new file mode 100644
index 0000000..f160e80
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5
@@ -0,0 +1 @@
+3c89fcabfaf26457db505ef70b62833d
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..32135bee3de45ed41c1104b261ec0f295a52ef4b
GIT binary patch
literal 16880
zcmdVCbyQaUw>`Q+q!f4_P#Tn0KuSuwkw!{F1O<@}2?0rIDFLOF7LaaGB&7_xI~8d`
zLYljt_k7Q}cbt39`Q1Cl{o{AXJ9yQH&EES{Yt1$1T!d+=D-sb>6Cwygq;y+O3qi2d
z;L8vn7d}a5BKZY>;67AQlta!i|E1UG#v#a6L`hCs$Nla4)U$h+c26ZYM;<@$zbuV~
zwMCdA9b^9D!F?G%hgXL8Z}*F^o2F<dEpl^&|IyD?UG=IeBwJ)rQ_sn<%GUgv9Giqc
ztrD&LJbhAHA7_v6_so?qxY!rWK9_F#NYEd-3*Y>d=HYAc*reOb!VQbkEP}WFU;pd$
z45fK&Sv5{C$1fN5kkW>bp|!cUx3_cAQk0jMx9-;XqhY0NEn{llhppTKzs9EbnHi}W
z1NX~+etW1&&**uvDSpxN&0lXlGPK<}o~p$<kqiU7)=+epF^O6E`b161*of1wl&7Ct
zTC&DQS`2Fjay6K^xl6jeUSn7Bv?mVD_nJrWQVH`@nW^FutF=?c`OC)fwwurX^YQ5u
z%ljW3u`W<>)m^UACsK;#ahR?%j24>ls*tx2!SZ|l9J_9B+=f!fo>oRiX0!8V&sA~p
zsk-Bpp@Kvq2l{W{zrT5Oa&T~f`3E}(2NpuXeP2#h^<uUC)C<`V;s<RnE_anr59f$)
z93iEq&DdUlzOuP4`fjyR?Em>b?DWRQ&CRW%UdZ<re?>(_nbShM(Vg&2Y;5fGA?r6g
z_mpBwpZrw5bm>yMSw~c_CBLxKJdTX4?CMmKeKrhpA@$it^XbVE?}N`cs>%EWjVF6F
z@UxEdtptdldTz_N*Bo6LZUwq}dW<YA=VO_%kj%`?mv7%jOgJ>s!AlD}FRE4))>K(V
zA4woyo6UIci%E|+S4$d)lh026&Mb6X@wJV2{idt09~v!j_}*Z=Av^aM3k%B!&t2>K
z?}UVeQgY=JoLpRjzQQ)K%mia&V?+(z=6o3+K79CUM@~*IQ!?^B{{|l)sYCrP`LxF`
zI@_t*%W<q~pKD!LSHwy(8ia;J4p)vlBv1XHZG6N#+FNg#IXitSc6PkoYh6Vt?0EIQ
z``r2P-Dy?2-5aaZ^`gYI!bqgTIpj-cXKSHBh2!6;rwel-SBn2iMg>nRBJbb7my(wc
zY8yBDv{(Im#^YCt`$}G}DL*xh_ePQ7V*y4PPfyQ)$6A*!U+!{iLMAhN`KcpAU%Ysp
zo6C0Z-aQ_xe&!_?5kyKx2K)HrWbW55JPi$vZM<hIgL$D*QN=^S2?-PphbtV2l(jYc
zM(rw>%jz(Zy}f;CSQzhbca?Zf|LACv<KyGr`e#p>Sy-^%ix@v~b8FAnEtuWdAQlo5
zx_Cu`7Uqw9Vr`~T^2w7YJWlg+UVCGY5x<|`6U=^miCH|fe_I^gY}#a3Gi8x#|NeLU
zp=n+>EVbF$>4|=wJFiauxWiPA+8fwQ&plUb$3&<N_h6aQoqu)rF1z3p5Hufb|3cHz
zMf#o{&Fmj<_wZT|zE?PUa`5Mou&}V{$>HwObp5k%BD+cJb=Mi+?Jl91H*aj5uI1#d
z(u%rqPP;D<Ax%{_BeOq#1j>h#CrvDmRj~P-9y~^xp3Zn<<^u;0FAJXLetPih0bkO}
zn#R|!U#qOc!osAbq>%FR^5j3&-{KMzDT{}!^YUV2WAPDrdHFj&J`ynSn3@`)w$@e@
zy3Y^moaOdn7qb%SqeqWo;^N4%-@WUNzhU%cXz2Bhr#KqT!p!`#qT=T3gamCXtLq*f
z9(}Mc)#2h-sj2D`5)zkaXjFdnq_I&@P_T1xvDV+$P)Xp*W{?ero5K_kAVDD^aq78Q
zKYp11+1Yv5BY8IY@Qs|D@h7+J{e5@m#`%SX<@&$V1y9FKc~D5Qgty2I!^+V6p35xB
z!cL4Ho}T?-WNe)!R{vT8yNT);<!nBOiePgK3sQugoxOHhB)L3AMMWhn^h-}qbi?VP
z4I`srg#{52z1WAo2AvUMmnF>?(b2ho{`_HGcQ7o9Pu^A(s5HFs^T!YVy!gEjzsb;J
z<KwY<1=&SLHL+P)OvZKYF`=Or-EWod+_@9k@K>nVd93^qzt_GaBje##$CW$?D3@qy
zRpsQ^G*aJnr-;Tio2GYms`gv*?{o>xpwM^p^vDnP_j}>oudZq2<>d`#$l@_FdLH~t
zSl*j($nEUxWUVh5Qcn?)H!O0qsR*(#G)(rGR^hIf3&15}jQcA0xce=GQtUN0wh(wx
z*X918`T6<xb#-swrlfSyaEXW{TXZGM%gMbFv}1(r470$PqOK^C5=DN)P|mD9A_F!?
zOiBvf4U>kqTqX^wvCMbm<<Fx}J}&4qhRMl65V=-=xKcnqQMaXLtLkbgak{^-^NpjV
z_d9o^s)ob?vxmET@8n14uu#suDXlA<LsS$LigY3_R|A?&%Nmk1JStrIABhT)C&wRZ
z881NOdsEp}P}SaRt8paJmzJR<#}ARvbAK)*?7f@iH-le!+PPn*r&A$HUuR_vCg;?b
z+S}XH(bAIP&?`*e+=O}c{9XU|%f!Sdy&K`=H!{&o3WH;5>S+>c@X&M$6R()JZ{IHc
z`T1RK!=x%$W;_0E>QgxKu>BU7o0_D4{QN1Mt@Yqncgp78o`Rzzk6xiZ77Yyz;ujEb
zE=M)#IqaHdOa6x)QFMvCX1K`J8#jnVQi$OY1~fKGLWqHYuYk|co2zlfcC-}BsM=Qg
z@5U6Gk}`Da)6<ds+{Ne{mi*L9yPn~8(}hb*mUSn46Yh}eN*}b~LVTIaik6Vk(~ECw
zFj@)77CAXSc3dA9IR5jU+tvC20%=Iiv}Zy0=vdcq->db>#2njgpOeF{))iG&B}YD0
zuo(D~Cp&Q-mKn)!U2$=6ng#~Q8cz>7_SPpt6zM&1PLBR6YH5+~ZA^uimhvFFPp#nS
zk9Zcr87{u}@nLH5M@cwMM9=ot{897q_g$<v??(Oj($y8zZ0cuNgo{8txmfSHD+96e
z;lqcRv;$Ly_?48D9Jt=J=#+AI7iQH+y%?!rcKV2ggoNZnZ7m}cQ%hZpv$Heo<Y11w
z#ipaB4-y6KsNo2qXlTN7(|o8Q5en28IoFkl$Z=MA6zKdewX(AM^7X4#=|8bj9d0Ci
z>(&F9M@k7V_afI4{W5Hb_pWZrD!=`+MP7u5(@b@%jnQ}2cfB5-{(C|%?m266c1W?<
zof6(0fY&lKw3{<bMNS?Z7>M&$#Fg;x^fPXHuTAN-sZSJm#I#Mx0yYR@T<g;8e-6*O
zzS#5GNJn=!G3GnJ(tM-fi#|&+S|NeU`1DDd!&p%I3fA00N3<E_Hq1c!2L|Tm=dmRv
zC6T5mI?<Q$@fJQeWo2Y$XJ`G+Um!O<+*w`}^4eMIyT;BgbMGE)C_WVx75;?_EsI@m
zVq#;T6Ogf{mzJV7Ha6fxo6US%wfJ!yq{`5ao*&N-!oyrRcY~!PH3Ad%^7ZSW!a~lq
z>3SONTy^=8Vq;ziNa5Z!gLo>gA|fIWA-3%AFGQDlAGuLp#D!f}Xwpb;Gg91E=dr!A
zb7ZmlVQiiA@td0SkSI!)lOCr^N7IXM?v9wu?1;2{{=E5>E$!;HYxn?QC~rMs9xgNp
zXz)HtCQ+dGTw-`D=0Q5+wN2!g&#^h<{g)0hmY#!gb#?X9<j0$-9*a~v8&fn8lfAMg
zR&pjg6D@vE*I(!4j1UtS2PoLLvpk?wGJ*+jFJGdbJblXM;Nb8gG&KE|^Ww{dgai*w
zx4F+jIDXx!;zk8iA3g{_adCN<D*i0iuqY?#=3}i#k65T86{tmAt^p*uqp68HI6UkJ
z#1^*H<CL=EM9-KR8j9};80<zhgbd$PFNmO(Rs*bz`P3XA7otQv*9YGg(+?CLEcIt!
zh@=sUf>`_5M_tw%(w{>qN#xLVCDI!P<$?UvMDT!^`g(Cp+^V*l=qxF@mGiG4C75HC
z$1QZf&^muuFlTIf&pUJ6EO{vEiljPB!y>QR$JN1Q7jp*(4Tr`PK{Q%dN9UzNR))~D
zd)BaLJhutvsvoPXD&5`PJA>L9N!+AElWF-K`~@s*Y;lp1MBadXA{$DElGkN4)sm8u
zb~hY-kGB+yNE9InD8<Uj$zAc;X9x-o9-g?rtJ?(0aVVKviS*?3=(o$x(j8|}wIR(n
za^}QIMtK+<277`O4as(3YoTNLbI=8~aa<wo4wJF&Cx?uRHiTWt?lTS_UCA$B?we}~
zxh^SrruS+zot!}J){7S}mS&p+25THl#;a`ZR+L0n5fusW|D5%n5#e7Q+I|xg6XXBU
z`Pcl|<FvN@t%cX@0cGSJM-8r@Snl>XD43d>rhM9?vLSJwsj)vEaE#z(Jr}}i7V)(y
z<13{ZAHQ&p2b_uc!hkY8rkgh_rW>DjjVB}v&5Y=<@$0e=u`rIei$*>vf5&A%CFhfY
zdU?havF@jwT{{@j<zTba^00`VYh1Ws>iuN965loB@G6E(5y_p+k;bwf`;TK={3K1<
zGNyTvG^d|LZf|yXn}^f6GwZ+9$04<Mjv}VaaS^vWA7a75|BGhDRBM40xr={~Jg}xD
z-gIi%u}{o*C#33n8u4upM5YzhhmWAxmot`_0)CvxUA95Nk6otH;KtG?#7=)s5Lkf3
z>)zhixR+>Y^ecLeo9X5LPHNUdQ2Gb~CH_nFyK?{ZxW2q|hZpeaS3b%M^Bd*)TIQKO
zV&TJb$xmfNm~bwVZswV{il&J(Q=iK678>hc)N-YJdH9lWpThr;0G|w@K~RX&b5`-!
zq&u!mT|7|l7?q6?>;%8qq@HqbR&PR{%VC${)YbSzSax4vD!e>S>NviUZ~T*AODX(3
zfkT*-%wTPhCbr|;lNIEw4fV%oAljfcW9&uOfxn0nt2t?JnSU;2pdV6d5W6{C>ojkx
zGTdP}-QKhib=g|>lHc9Xz)$ZFFOHnh#=Q(o@5s`|tB#VCn-1RWS}z)1xiio1M{>2d
zcgR@)Z5y_kh}yrwmnztE993Iw9$EMZb-R$>{l{x%BQtWpztW$zb-aC6iBw5l%Hn<p
z+1<ErDcY1V_AQCI5NRI#GBAijU0te=i<w{yDkEpPdi$lYN_v!xmci*Hp_Kf5+MH1f
z&4k0K+H9}w&*6|TG31Jo@Hh^RDpLLW)x+WWHZh+eJ^5VXNv^A(m0mLU&Qe?nl`=3$
zDL$={54TYi<}dR58u&9ESCW|(Yi-FYq@yPIf<(FHLZ&vJJziKxs1(r}DYKst#qSFO
z)h>4H=R<NX@2@e$s5RwEt!Js_i;VM(QEqL_Yc^krb^F|GPDT<sQ&5aGtgepzMD(tR
zt!7U7p1<sX^2?@ABPFlys*$N;j}pw{WfA#=M&v%b%o$zva@1c@L}!%xsq{;{+nk91
zshBPsnV)Y^8gVa&p*c-Qh84?jG&+IVGyuhe&4V@CH$bl~dOJ~7iqsE>xVzfUY}QFp
zdfo_m8j~Iadw5?cZ;61>>Exa4rLkKHg?DPZtD|HGUW_JhM#-U2`?U$@7|BBj7eXFn
zmRI7$Ned&hM+O9!3SCmxh9@Z9C(Ay!@7(Z1UMo`{=qUFpA@1xfOO2=<<``v0X_d$8
z7m74L3<^fW4GW3MC~$ZRa_Mr0Xj>+!xpr8x6R~I6E;BG#3lZs+s=9?Iozw13VSmlf
zxAG-jTOgrFiH;KQHNTpfrf;TB<T`;b(|e+%+Mu<!DP`xI@EIPgCG$AlUQQl0`P-M?
zVmzcU!F`+M<RtG^`c37LfoUhpYTl86Z51SonSi8-giP|fF`1biL5Ky7&Q0O-b8`X<
ztrFQb4-1Q68)PlgGF0jKafk6F2gH>bg>d6k-6;qNoLkXVWih27@DdeGm3dtpR#xpN
zTR}8I&83>n;*Q;<j^#!3T8iYFF`3P1$BFuf!YdiBnzh6hRPc-%fqRL{%A4=5u3h~s
zMEkaAAo+;6c08X*lDfq0P;=QZ@eytEdegAugIdEEjnbx~=!URKStfYK$?}2^+r9Vw
z5?E3cG)4oW$|EhD3%#~%)xj6Ezv^}dHo4)iCDUn;up5&V5UN&<Z;E5lR|{$_t^JU;
zQXXmLTqyXp-Z^-~d|@qOSH_gkFU+Pr^vbK^yn4f@8u_2@^hP5h1X*^LJ7J&BG;3Lh
zg^9b|ELX_Omw!aK;)vytCjMEb+$!o9s1h1E=gf`#ioe+DeY7W!&%h24q*`d_Eu@T$
zxT2zU$@TSh6DmIQ+a4-|kJR>e>gdK{Uhb;!&;)joJ}@%Jj=Wo&v)9gS$?8X3EtoTR
z!z=Js#Fsw~WbbwIqhvyVad2>~8|7cK`J6GPZbw9sliK)D(2u*Rd2BvY3$HG>yrk}_
z+n;*!v*U8Tf+}(M&GZ~kPe5#Y1Ox<8LK4xTtx%&r8}YJNQ;ecrHhn;s5*AvK9tQ7G
z&qR8MU_a4sOfIq3{_SYCi_-cOT<dLTYpZ@P6sr{F$AtF28pwl{NYbQ^zm@j#<;!2l
zRbJjLhS$nf^t!&Qljob*K7Rbj9T*bwhLntqEng>J1Nne;8|x+BY-cE%iF{+G(btbz
zi3V#DH(d+AYz6YAuQ)Gn*_+5nHCFV;z~Er=nqzXyseRvsJ#~D;o4994sUE&<<cr)e
z<%CuQ*+UM|eRMLRxj`sytfgGNf_kh7rp(6x(Gu#P{dK#Wr(+amxd%_G9UmV*L@0mH
z&24o8@DyNwy>fxk(29q0G6;2s#Y2x&8rmr;#WtMZ)P?%t)9Cp4w3^(&U!dKJ^rMS#
zLRilQrdOG5Uc?zjm9p^p)8DCO#>Hot#wQ}`f``l?2-;iBWvO=(YMNuDDP1eizNV@w
z1@|f&KmU#qLMdoF`Uo*W+$%FP=dqBsjEoEw#Yk#b0cK`%CO<L+u4lzAWy(C`xONQ%
zRrmQ36Cox4V#CYCYI^echN9Fxq?_0AO`bTiYZU1{KIezhl@z|A)c=t>JS@}}aVP65
z5vto^M7SARuOX5%rE4Rr+zmuhiVUqv&z>FKgevSYBBmrqbTXvvmQvJzzEn>R-%xSq
zo;fyt;EjsEy=JTJVRXs~kBUy6|CVhC3g*~hyR(b9&Juhq;pXD1-Vs_WC{g@zfgyON
zv{2IT;%jAHWx1!5rEBzvA%h$j`ZA#R9a0$-atsUzy+T%5w>+yJ%@wQi@qG26Uxc68
zWK3-a>0fBpGTZD}&2G`d1H2ItmFItwZNy`lz46j#0Lr$XYl3w##u8%=9OVq$$8Ac1
zqL~m)P^2e{-Q>5*eM0Z|9WKiui@B|=yz+>j`YBmo<zjvn#2j;10%@D}c@NV4P#lTq
zh}@3XTwjw5X<R<AjZs%25zI^exmwSQ`A2Gj%!@|#sUX$ACu)Az-7h%{2%Tq98g~c!
z?FwtAyi6#!@8NPTCqt_t;~_Qz4CE<FMvjm{;$S&9tv^y>!Glp`d1K?$$9ZU6Z}Wy?
z;R88FKCCmmSp(AjiCSJp_2pQ@Pp$#PfBBPbE0G;snt^jY%rkGMNLPoft5Skc-cWpv
z2arhUYdViXH9Zyf-bP)$+hJ~QE+_drDJd!K`r6tC@{*34I(dw=%21S8&B9>F`|TO)
z>@DfUj}~u7-?=Ci>8>>~)#HT8AtIzZv)b3C4<J(6i%W<<j>k;GivyIt0(P4GdIptp
z!XWhx+&rmyQGE8FP393mN6s&s#B7;IMC7u)D$W)-bdmZttNZtKCC7y>qD+sOFLnAw
z1lz)zyQkK&A*ER-yBurp8_e~p>5bQoFPKFb1dVM~!ey$kWmL0m9z^gKpr|y?A|lwV
z+{DC-Ty8}0T3pWD>z)7N9-B$J^jmqPpL7_P<;Yv)>Z8<tSDv3RXKUOBH`O_DHwn=a
zFD7LnZl*3?65R}KRMN7-3iR#$MSGU-A=;Ml^|ZXotnCwW-@hsUy}PHvvS)J3c)Gcy
z^h0hx$!|l!WzIc+i*#yPb1t4LpguifT(DyB%SIN9={WSR8}}5I3tk)RVa_APx>u-4
z)82LB>KN89!28qDvfRjekKXeRew_+-PYDf^gidX0BfHxy+E<zp&D?J*a*u}MV7pWc
zlG!&PvTNXkoJgYL2|m|Bio;VLajq!7@?ZncaaeO1wb!|fq+ss4mB{+(=WrDIH^Hnt
zsXm%Yqld$|N3EiyPPNIGE~0utn1{-&%N`y(cj*1rE1cLYLO|XeyDK_^4Q8O^+P}{%
z|L;TeFUEhHRvyvR)P~cpjJvOkgLvBuWq#0mvh$_B`y#%R++Q`g^Hn_Wsqf_Pz;Kw<
z)uy{W2H^&x>aB$SxeTSu?5Pi572_ciAK3(Mv)s0^$#u|`?l$BmRvXS7jzAX>xWDjg
zi`m+#jjd`W7UPpT&x}8Nw@Uju2~8>M+?$CcM#hEfgi@RYoCZP)#}(NlXUl%C{N?7K
zF)Wo9Ie*Qn*bCCDbRp^#akAuV>ztO2kueqU`)SkhBEiVI9>6)(?Ise0I4?zo)yb6a
zmN0)(CL@`pAbwhA&~s<kvn<*4*gZcvE&03w=F=)hR*GmVKKUX#reW!;)J@^=R`wMo
zz3u$?QV$>3pJdS{u32ox<h;JEs_G?;@08Z>%AcU!et+6ZYh<E*oc`deI!jWrv$6Se
zlwkVey^vTq-MQ?>vPKpKE?9+DfvCS@6B8OvZf<(DuPo3no<uas<9`s(ceyc~UtUhi
z!g8#g))fg@N?25s>FQOfWj=k5*Kgj0&-fgvE%S|w(GUC&I>x``jV{3@DBkoxIA-)e
zx|W%qj+E5zQMX6Zgg_lFw%vL2wuXifccbSnJMal1KoVFO_yRMF`Ny|!`P?+XK%zmC
z8Lf5YAf^)uyv(7;|J~Ez`&_SWK>0uNghKZB{qG<#VC0G8<Nwbjhy-4@b47Zeb_esc
z2QMipDg9VpR+5vuTXH`e_(#vQgtRn`SZ0B|u4Je-znJq4B{}dVEdk33a)Twm7O<sp
z6KmsD9BmyPLLZBdemADEswQgYreOZ25Jd~Of&v*QU7e1|?t+T9bz!5NoR5!BrN_2K
zc#oCkvwsR-Z4Zx+Z6kNTfBni(q&H#FNdGO7^NH+0S63vEQeT^!{R2@uOIgucKt`j{
z@SwP~v?~B4Vm^Hm?MjnO3k?OnPX^v((d{DcIoI{^*FXm-$jM#5e*F>(B}E+>Eb??i
z6;>npmgVU|kFQqA{rWFsV@aTdC;)kMl`(VsS5F-9;NHMq{+OSaVSoK1n21IJ=AdeH
zaq8)enhbt<O-=6Z>IfOSul&*XC4W46o{_uGhcIV2ep=evtG3Y*5f{hnp9!Idh`NHS
zgR&(I4CCYD6;ec8GyD6sYR^uOzP7gqV;D^kcXEN(=!ej6X`hwR@EACFU@?G)j=E=T
zY}J!0uI4#&i=V1M+TId7{r&rE-+Fp--@Rl0v$vN6)IK94HIFG`H(fV&jOF^|N#?6p
zm&VH<UHDjA8+*TmjWH9bGtfP9{``5ue&YrUH#fKE$?iyAVPOQ&Utc>qLLQo#Egv6j
zV}{w**7j~>)oQsvo8SBkiZP#14Y@>5uMU)QY+T&efq^)Qvt#FQJJKQX{s`dGfsHGf
zUj7#uKQjH2Mz$iuu1`OWdevdqR}&U>2ly$NAYkb%H)osW<j9Zi8!z-`$X=I_NR8&F
z`a~r}mJEd9q6c^V4k-~ef2b-eS;{TvU}hyg-!HW;%Q8+*PCEDRs{`$_nEoOvD#xJ0
z0*&qi{tB4QNZ5Y2a|dETRse0J4>(<*vz*NzKUVynz?}<Uam-3Oum?EgxbD|k7XR#1
zypny_#Cr&Yhd=5)3qYj<MQ6@K$th7{VQDx{9)CFa>QoTJX2VNj*zCc-*0jkt0x%WI
zRIO`3bab?b2oDbm)DO)(ozaiZY<2bZXj<9`IG9cC?YIbrHoUH#V>(f7$3q=CT4si4
z(V2*a+*VNuP|uZZ^f{UR{hP$s*VlIP16l?jST#HvLE9#fSuhF}4leFP0Nqt9Tbr9a
zXGU3lQY9lsw%S}kPTm7vxAFLoO3EWpk<K=UjU4>nyQS*?`y1z6_x?Rnk~Z1ZWQd%7
zyF&v}>Ow#>(2zuku-h7?=k7|-;Gj-xYwOipx2XL6{Sm~(#AJIF-pwCKchyueD(XmF
zCWQz@^Rj1gaq*WgUwC{=|JST<f!4{vnX{|AfweXl4C?<%^F9JXAEZC|6rSqJ8=Sj&
zpg{JW3NGsHrBrcB^xI}dC}bU^HvP{;EO9vmNsLI={QP{Pgm>+&HHB#U$jnT}*0whP
z(3e1C0S#_DT}K6HI+5oAHsOT}a~m5`@Zt6ip?H03GGx%&wP+>;P&cY!e?HtZmyV9E
z%yx{=>v*eUw82{x0s}}}!zCusAh120uJdpmcCa$iUm57yyQ@A!W#$_*$=e0hjJCc$
zB?wTl%GsIA1G#Z<qyn0y7#J9SY;34cPfuS$qoth}I~m|yee3LGX3Pw_KtYO#JlnG^
za)UkgrLQl>b8k(_x+)nXCB1(A+MJ)-YN>m^`1QYg0eUkqdsbRn8bdG^+$|{<Xum7I
zs3?cIGk3#&W}9GG=weTr21G4EyK$frG1`de#)p>4?#O{y=Dt`KmD^c;FG1*mgccVP
z5^}I2d1swhO=W^nT)e(nLLj>_GSbR$<(X`ayg+aVCXT3E4!=rDQo42Pmh0jfXjxSf
zuM7+f7AHa^jyGiqiHM47>Q^{sfi}+<Fo|V8gaEa?)R$HM`^5IW8Y5rG8`_^gf4Us+
zJJmYQ$;4S(Sz@NmWZ6M2{*a3T_(Fk6Tgz{EbadqKNa)`IDDN*e{*>%$yfzHgHI-P-
z*G@h@KAxu=_r#9YDkvp=>iU2346|<yIa`o}*a8w^_IJ}l-36xq><(~O9e4pE&jTn2
zloR@_QOJSG2lKU(x!y`rnNVMq*h<}H5yQBXoTjoCTMgFtq5Fa~?UWVfTMxD5+qD&b
z{N>kKHq<}*Y?j=~Zd^;!g6sqaLLL8koC1LKYaE98L&;q3VN#NtW#laxUkkh6GQDH{
zynrCjRrJm)u-_xa@KH%a8Q2k6vlkJ~W~q5kKfYmX%x4Ur7f?JpYEm}{R8wk$_z4r*
z#tGn_x{F@2bj-7Nkd+mW=cY4xWb|64oWoI$mV5<_V-FdTqvUOztLO*8GAw0o!Lo4%
zm$5C7m-dN|FI=_Fi5KC}zHFm`x%>W6%@6F$3It6#scr1K=jpAsGW9=U-Y{4?GVkRI
zk*XBJJ{v~P6;>rno7`!QGQgLAPDBt9dKe>SRLVR|3{b3q=jhoAt|@+Co3~!9D!xNr
zvi?yk+~N6EG2Ff{+|2}|__JTh*~6-|;SM6GcK`Hq)?)ai1g}OCxyW#4-cJq6_8C%{
z6$(HB0E~#2NVnmoD^`5%i5F>;{}V?Hqx;|Q;{eTC#KHh{FF(}$tA5u?g`gjSQP)CJ
zc-W1VZFYLV{?evQ(MLYUZj9JaLv$RSnBXwRt-uCJTWDq1GyA(`1#ppp1qB?mbabz|
z0u1~sEBWL41u7rGZU$ofzZvxA(6-<rAi&Vb$Tk28ueh@1>vxBZK%g#pIyT=H-Um!P
zdGUKemEYfo3hr*T(>TngJe~Ge$hwm*!ismrs+t!BjnNNIS^bZWA7No(fek~==k#%!
zcQBJ;RC-}yVRt}ia#?>)*-isEB?|9-B!&2L<KE>@R9^4Kf?vOS<rmruqN@nT95TDI
zLdfvL`+DJr50sEjHS?^`d^wazpEx`BLHzSHdCZrjX=rHp8*SqKk6C1cXj}s%;Kk0Q
zfu(Kg{OmFb{=ugR<TW13i;GNc-@YkRMz(wYE~?sT;CJ;_y>)C~DXox&hJ3rZvlAE|
zet}gj87D;@54nB&wjV}cJwBdYUJj$U?~aA=xUT5PDJqUww|xJ8!Nhy_GICWw;PTTc
zR|)`NxFBUivPz7ejpsDLzH;Tt{=q@Uv%ecq)?;hBDzB`qMd%jjHBU{^f!706MPX%S
zWzOocMql3_KYp0bw}$PnRrDYT<o}K@F-%>%Q^He;?bcTBN#a-P9OtlUX=zKn4xYGs
zcr<r)5pg#j^WFE})rAa|4!WHC#>ZdDI}L;8Rz^45sbc_K0kl@i9k`<n0xuc?z>#@;
z>;(^G#7JOaVGN9!Sm$ti0kJE^GJpH_jggIwO<74P<Azc7OV}*SyPk}U%C~P{ef;<_
zJ2!VO;66b4nIk5?DRA*Maq$!{FRyEYg7MvHk{VoGTsrsese0C@#&a1f%LZSBn*$0Z
zLkLMo*g)3@V+RI^r}>_K#AJk8w{_*Mt*u2LK)(aee%Fu8R+f}-t0nUIPkU{58Aih^
z@Ee9_OYjdrMRr=rG&Jwur?(p|^+$R^_PGw0f`+rxXV_8zX2@p}z_x&mN!XG02|4>e
z6HM4E4c8yGxf!;<a;eBj0$DWmZ@&t6U%GSv;Qc-j^=`v(|H0-eAijdbNEn942BUP=
zlvh+705ec%sO3P8+K<IW1-R|Ifn@+{eVOv%mYs>bE*q1#pnk~$lg$8p!OZ1@Rp_z~
zc(wRP{s5})FDPlSF6%m!so-sBXuu#*0FZh`9pK!dE^5OV5e%j*cB{EKIhm2l$367h
zB7@cfC%`SiNRl(gM%}CkiMtlt%#!UiYwV|H7Z%J?i7#GkO)&8xc&!|iBKmY5r26N|
z*`EQ(6a6QHzyq-TV31n_;4MVT(2&|igzj*6^{$OLW_yD86+lEII16&V5INVqP(MF}
z)1Vv&W5+u1pr@x_^tJg9hd|@Wx<h1?)$m=+B4l^3@M;=O<VR~m^6L5?h~i071rSNp
zz%3xq;r5`09C++k|0~><?<1Z!9zk^zMNc2~HI7X-tIrgScS!#8_MxH6piD1bP=p%j
z8V5(qYmU1-wxc|%Zv=^8fidA{KtnRJ%&a4MqR4|Gpg6kAz`Ekr5a!kN^R;8&iP%kt
zT1UtW!q$H`==MOZgW~!4)vUfyK(+`1B54#D`^?5Gt)O5Hfujv)89_wd)?j{;4+7{&
zNwM+p@Hq8L5hy{0LYe_8K=KcSU4cSFrbmH%-}Od_2~2Nftg2EE9xzN!O`*xjEr`if
zII9Q{>#A|D7+eHX;$q-VvsF6#J+6BnG=KGt7Kz0l_UflR;ooWaGR75Arttq(oThjL
z{vdQ8#9#s>Mf_Q{-Y2Liek?8B7Js(KTxF<s^Kth(2xWZKk^CUXV|HbF`qe+XyV($r
zN2nDG>8~&|Vx(>`pY&l2OK>3BA{AsYjvGeU&g6Y`PbVMP|7y2_q=BvZdtq~~h1{kL
zqv=nNS|}+IV5P%PyfG=zE3g8~7-oN(B}dvN<jnG_4HthU>PqIjc@qv}Zuha|>3+*G
z77HULiYUc~hAy>`NWO!_<T+8$u;K+3nc+5zQs#{BSxOYWxV3$59<_B`D4d(ni?{)W
zd-i%}-laOZ_lWAbYplI#lM9WHI5Ms)-noOO6LWugxVNtI$!*<w*tKl2En}?CT{R91
z`7bb-HDEB@^p(AYe_^np{}O{KUm_>}QzN4vcRSWR%Z12}DkSIi2gkYR{VbItp6?&v
z1@u3vR5<=<5doW0WA!W}J4$(^d7J_W6FsXv^(Ty<%?=4S)v^oaF~Ed*Z7USji{g>}
z2buvSA;lWNdWoW>qtYk_J!YH)aFi?HC}W&CY2<l6eH`dERaXF|tR&i^qgH+8v=JFp
zs!lcIa4H5@G3mI=XzJRMrZZj+mN+1Cy<5vQEP?q3ABVpuDMMmw+EFnQQC;n>`n6X7
zs2QI3;>D&gqFt1PV}y0Amh?jZ83tK(#i2fI**wR__V1hNTYsU`Iu1;`g}@^7OG!Ub
z>7fLF>pm61M7<ubcKhp?Z>Z}2wGiBS<Sfc4A^*558n7G*fd--}RH=_YN&fN8hE?+m
zeNhbH`do-Z7%b%wuEDqzM8s(Lo_SauGYh7&x(lymnoNBV1uRON&I%R+4bJ<jbtV-S
zEsdW#3eU~4V-<v*zGcB#L~SxLzZ>$hZb!MCcl;Q{VIEO74C<|=n^+KsF`kXdK7a6k
zxM}|zlkNWwAD8OZB5pS8)AbW$&CL%A0g?sYz`dSJ!uMNARaK|<RlMUNFe<`DF6ao^
ziY_Nd$EE9m`&t0+KbyH7Va-00x@N4bvd@MPcj<vn7)i}<iTXEWHiaEROqXBy{=H`H
zMK?O&5C2zSbmqxmw=sB*%gW01t8J6|vnwf;VmCiu;2uo=wYV4z{t7b)vfnPX72*OQ
zbN;^rGS6aWCH;?2SO8=7mYFGnMeMDx6E-L~`#<6|4AoK!UFVt9EcCRruo-1?)l*hD
zLBsI_a1i+N@A{kh`G>$S%4X-EoK-L@0jYs;2CaIhd^MK=Y70oJ$#;SmE?meMS$#A_
zPDN#~`sK-=A7Axr?CDZ{4z0Gu7-bX`aK*&L()%o}>!<t6gAbqHbS)na0&*onfeHM@
zfVl|3l!@^pgVzlK1rC8?9UxWnz`%f)q3HhuB<2^2ApeD%mYUu1KistT5|6m9UoRWA
zfFK9<(Eu=O&R6tEoI^NG8fXEl@{c@SaPfwU+y2wK;P%dc>0PBZ9@actDTw3EDFyh4
z6zQn|?Uc-T{dyRpsiSl0=dWMd;D7UY_DmZL-DorsC6Aw=!!*X!2o@WtWbY^|6WWcH
z2LWXUZY47G9q<j`5)}m|@z(43_*gIt*PkA)>geeyEH5wrSXhvS6?Zv3_ITptlmW}o
zzq(uLvaChTXO53Xr%3vyBAQ@{TXqpqR##^Qr_mwc3yeW&5NtKzBNh6~0UXve058v6
zBHVLW>A(#PKt@=~PPm^5!;b|MbBeIj^UzR;@Jd;Iz2IS&m6L-i8}n!|(^Y=x)Pmtw
zT=xM#C?U|T`eWkZn4%XK(XX^bPfkwqKt>YV8#N1!jt*f~+W+l)77lz36u@)fCcd(^
zzV5WxNfmKL5)?J`P$N&J-Gm^9%poQw#&A=>Z2)ON!ub5n8yZGN#!~Q=q0o?AHbJXm
zl$5*z9{bkFMy*O<M1(~|7{NLQkh2+}9cQ&c8n0P9hIb)SKc|~JB8S6(BjUP(!}$3h
zx7`~dhhP{Sz0dvwL<;Z~3XS%s6Lr(SH~i|9ceOp^Yj2T}(Ek2@V(z(f=VB5P@cs>R
zeV&-0X>M-TFMD|2*47q5;58HZ9uWdBiwi&lZeZFTL5281T?M7g&guxs>FMd_-@hF|
zmoo%PrAc^WY?iiT<>$eSsc33?)$RARaREK}3%45usEKww>)Qk!^juu{r+tp>>bAQ@
z!K-)<{LY)e`Y~{DT);E}I668O{d)H7*#dCY<Ou@VzMZvOL05w(C+~sd?){K8(gX;p
zx8N@KyPO<GR#sd<-1rwS;voBnhsh>FX6+Y2rZ$7)2iE_^aCU%uj;^lq3JSru2BC`j
zpFEPM2W062+?&0-PMRuq)9gbJQsU!-xr}RPoBYpJ#ou+HQ2EZe`@20{zEfl?hBcti
zvh~Gf4g~3lzS05qPhPum{&%^#Ep2V*fl@{MV6MQr+C^&)Boqv(>G}B!Jl=;c&ZCj^
z;?#h)L&L*wnmi!>Z)}PI%u12NmU(K3X2H<n1qH-$sh7bE%y+QXQcxm*WgKHwgh@67
zpZyZh_`$?<FGA=&@xkTX3Y+*``bz#^IKUxR133owhV{?v3o%Fb%}3PWr>73U!ZE>N
z(aO`|hgX6#1^ntYX68UZd|xLf-oQq*?0$O-_OLu?0CIAbz#m~tJ?=>@8nOp}<t-5r
zEnvHqiu49LlWyjfm&Za7Bcc;|wYIi)?b@|aFK=(F-IXD^onJxeFJ2Hji=xr!o%wKX
zL)*Ae%hTh7cYT(assrw8*~eJ>@7BQvl+Jcvwh9F`bd3P`?><h3ssnr#H^7G&3#NAQ
z-9c>(4a`+B*m$^NOW1&F)xQ}_lPmz(QA=H2J>>wbe0bnmP0Fn(FNewp{NI}`B-i=*
zE2sDJOZ-e~UGj##lwz0u&iLkn-86Z^DnEFfnGyWhd?DjSTEK&akX*?D(9FthQ|S9-
z^+&IHA=Sz2-d9-w--zkOZiDS38_c@`tF_~z#9hNd9sFZzU%z~50y=vOirI(9`&-Hh
zE&Abe1;5sEfGB3Xb<1FxkJ84;>)n55AEK?Q?@(~v<MI6&V;~gJoUT`kyT?Y{C8&V!
zbh)Ye^JkfC6)U#{mb(e|`JWlHS1k!-LI;#bnkXxt#B8}ZF4F(et0f+8*i2-tP_FQO
zH-TKNM&sYDB_D3UfT(wT4A_2GKhL}>4yxh?491S0BS28tPrJv}p0XR0*hpgNs<3fc
zf8@AWgF29K;8kJBKNqgtmcl_=c9jJDlCIVsq&Ysu^!`{FhXyJKv1wk8ho-5W2-T*m
z=L;UL<A<<Tu*XQ6;-hP4c#OF7qa>(o+~8UHFLhQ2>yqgR#CTmVY~4-QuUP0c*E1`N
zw=KDHXZXaBp}A{}fXT4#+VBSERh{xkNw6L5Ov|v?#inC-OZUP6l*M)2`3v_jM14-1
zP}{p<fU@z0H`YzeW5Gk>G-vV-Tyccs3wWwCenw0YV#YVRvc*H-Qo2Knm3Z6KQ)Q@i
zoDJUlawv)cpWMNetw|3dIg?ePGs@>0KHdCn#aD3E?=tCT8qMO#RrE9|wxn(k6L#^I
zPZy<`t9(0IR}|Z+mGE%p{?6O~KVUSJGDVXgR2cL!p=a8)#5S_h6^CIv0aRZ^pXn|e
z7KWi7eg_wC4ZCqjRXM;pu)By5Fy#CLXXXRWSU+tFAp6a2^2^GF3RYHm=6p%&=Vp8B
zlxUNSZi96h5X&pBfT{<%8fk)ws;t@HORc^1TmE}44HgxkoY(i5%g{g20`d&6#~*Xp
z%)D}eMMgF=hD%FJp+GgyLubX^cR9fRFkQb+010OaLRrdB@XYK(;&a@Zmw%OzkOg$o
zhog;8P91bl6VtXqq>?Qed6O&pbmJn_aS-l@t!+Syffk<K;Vn4oSs)bEyuVw>>-Ekm
z2-qJ?%*05q<lOfoDjxR;E`O8@1Ur#T?m+YOG`)2dH3T<|X{5~e%twA@^3zjpFgI;2
zL`x1E#Dj#Kt&%Vg)YRtgZX0-Y0o!dg<6W7BE-(Q}2LMoCy1NB^^XB02?>C+uNn$h(
zIdh+BaKAXg>jQup_9%^SQ%u$?&dkJ?)A_Bo1*2Q)%{T{$(ryea<I-7ugC2C~jLOPO
z!1V1lsK+wv=;#bS8`L&=1D67aS8ff;lYSA?ccA!iB+rg-ZZw{q8oEN0*yph^D(k9R
z^(&k=3QBx;hrj{l_~Q#Yf?9wOO!Knf<p$u<^?jtogyinsyJCMQolC2V4ih0rUwS(2
z!6tFCqrHE0l%<g-f%riweUXZ<^>{p-g8Ly<uuB8EB+s8e@7(_V>9+(lU)>wtdsssc
z)gxb$DzKbP#8)IP0v3R^H3R>8X-!QBfT}H^qhMm8vx7lcm=fcix3%RIaar<XOLfPV
z(*07u)2|X58rlRcOc+rJ6j^9DB!M*mMXM>0fb42uQ_YM|IM8NP0IdU{6(ln&s}FiS
zFhHuPX8JQzwAgb9z8Q6Ow7@oD7(meRdQIP8y5y8qRJK4KF$3O*5`ZCwGJ7lGO${|Y
zo}b77kzEKR@x)w>RIxB%g{1KPVe;p|qSgT_aE4YMCzs88Ux$VRixd$o48aMByR|ip
zEaug#KoI06A&DY>J3B7#va{!^M(*Flv#5d@!*n))=DyflhiT6O=_oAC=P*ytvV0ih
zR0V!l8s8s&k^%}5{ZDQ;z!t;<T{d1I>0(qcTw>Z#kdWphg{GyT0|sUrML`h)EoroZ
zf`ZUscoASB&{^OwP%bpAB5VmE=>Xj{ePDSLUK_eCE(7Wsh5d>_QKMsHbMTX`071$i
zPb0dDpMVeV=+9PxrlLsTVCR5ITmpk$fL(iQ>uei^Nh@S+Gzx_vn69=WraqcntgCPe
zF^!PSN-}P4f*{0(dTcLZA<+1Nh87a&Ah-&OD#*_I4PLhZB=DLx`QawOB9=6t4&7zb
zbgdP0-!uicU8e8ZDYS6CgwD+Ja#I_daOe~nJer1bfC)N4=Z{u@{R)B6j3ht(^F!%X
zeEe|oFJPOYE5y(?e9BNP$Epp0B%Y$8BAjjv*oClzi)LVFCp?Eo90=;Hy*-z$ogHRi
z&=v#n=<O|MT&bbHe%My&dIe5vqr8-n3K6uoNab+gCKsvs@fD-#&!eSFMiv0XL8PD*
z_vDBE$RNWiOsxf$ItV;M09fFbcEDxg;NX}JzP|$~izj-UfB~YPlpKc9Mwr>yTHwrK
zblH5ae4Ub>{_>oik{rm?Z^fUHLjXhkqyup0*2XHXadF`y5WQOZ`pTLgpaYsUZR*M;
zK$$MsUbq3p9WZ@W^g_YcY<wV0Wkc<FZ?&=#-ctC<5BxwBMhb?N#ACqm+*x{Xx|ug*
zeUVle1#M{`04O;^69O>u=a4_!+jk5M!dO(|2Mska?CIQ`KNJPY(M@%Ab(ozt>D(i}
z_-lw3Pp4oAA_+8)8Nj@k2;?L|WP^T*bI^DOS|%1S+t%VUK(WIU{sG$px+a0opiKfx
z=lm`791vxg8G|Li1C=q1<?-Yt#OG+e23Mo20DAJ8pbKmmOg6T3AiU@RlLpR!f9eJh
zC7(m}4D3~@%?MZBpKlzC11%U?|G0K`*0k_`{kT`)GW3cfj!&LEhc-S;qw6*rV-$gg
zV5i*`U5xGy{dJi78X8#rfTf&t9Wh>Xv!U13y&`X5y{+f;<OwJZG<sn4blRBwX!!l+
z&6{&8E7nd)*{4Gko*-(rLSS)(UbW<3Cy*XsU!p*qCIYPjst8QSR~45gmM(*drludr
zFM^|N5Y=FkFhs%=Av_x_FHieyW~I+?NU(Ig_aPa+fF;fVe-QM!NkNptLSWhCeS8{j
zeX(ymaf6#;T6JMBEb@GU(#8q;%4j9LM!kX#fFzWA@`MkZ99vN6WE2)&1i<=XwfGaY
zc)e|*8d6$TCJjBf2L~9J#iL!dbGjKu_wGeNy^HClf(jUFcm*h~dP__s%^y9QgYbmp
zw|iqE8obg!_}+Th0|<NQdN$qPoP!pe@B>We5?su1^ClTQjZ(n+5~d9oHu9U2I?w=^
z1O>@4MrKH5UF#;`U4Y{a4OGCvQec!9FbXgLbXK2n5EJkD{yokc5Btbw|Mq|~aMze^
z4vw2EphUfZ(wd?rm?!{+4c)BnP$WNi{5WL7{u2=<Xu*P?2WJFG2~?PtFo=Sie;d!H
zChx=c*aY6?A(R0a8XuB13LF}DvJ@~0L_&fd%3e80?U*SP`}2iqmp*979Eu@KcQaT4
zNMNC07hwn-So{{yJCO8legw0tj(<ak7^aB5K+frh!iIF;{!S@wGwtjc4|J%-^(W9+
z1<w%paM7>rbf|C}MuLxz&vRu?Z*{1E0w@{`Xi!b!I}f%8Mc}APq1mv|sD^lN&q;Z#
z4iIo8=Jx{Z^{(zxin;SZp=3>$<S<n`<h9Tc5`qWaiCew0B+cF3#ls?Q8<SyB$PABl
zm(=}HPSN%l_S)|;uEg%^>%)=>)rLHryLN>E^rT>LNvDuF!D)of>Vwp;u<R}?g9I}8
zmQ{wd;+~b$;dGEt0B;0C8FbJ3m{A1Hz{ZA$8-OM5x%1NX_hVT*Y@V5UXAa-8Q)nl`
zbQ6NX3W&Bhm4#)eQ?@Cw%$Vyv>*)bxl{jC}QW1r!?~%NGTR-sU+<KKLj&=-Afj-pT
z?x)Vq1>1FyAsIwPX<$i-qVjZ2uo`1fpS`|u--Rbx#+RJA0*+~BDhZAk7;b!1q@AtR
z{QdiC&i(I(Y!C_*p}H&sn;5vhlO5_GM0{;gOkT%e$x<lyz%$U957qO3G%NiZU=+(4
zdvOeyP&uJ#T;ixb?K3CX=gxx&$OSE4V&H5ooC1~+>;L@q2=F(<_A|WfSA1K+-X#|B
QD;y9dd3CvB8Pn(g2j7BWS^xk5

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map
new file mode 100644
index 0000000..2d6d7a7
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::BoostAODE" name="bayesnet::BoostAODE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="12,300,166,326"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5
new file mode 100644
index 0000000..48ae7fb
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5
@@ -0,0 +1 @@
+1349874a295fe4607bce4f148d38cc42
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..39522192926d7977faed4ddf582b693492e4af22
GIT binary patch
literal 12761
zcmch8by!s4y6-{>krb7Z5=T@7NkLjbfl&k%>6C7yI|K!hl$KNx5NVL^Zt3onP6^5T
z&aQLLbN0FW{BiGogoj~d)_m)W_x;uQK9!LqI!}EbK@cLe)Pv{nGZ#Uy9-qU7M^;+>
zMDPPw`?2H$<P`JoQ+Y}#f-oTH2cj<=VpqqUmE`p*@HW<mi(a#OT2(rDbykTsmpyRg
zy}`=g?QjkMw$PWx?bsz<VI$=iGy7kS+81*8r(PsC`!;dMP<ejD?`?8HZ9I=iW@JER
zi<0s%9OhR1BGDl_=WK0cQE+FXV|!zvWX1k?+}>5W%p?cvJ}I^+=Ic%W*JZ`o*;ztH
zzG|xab7G28AvO*NzZa7-26l?wZiHM!p%04oTFBn4UH!xE@w<O{7^k@YhfxoWdJu!n
z$m_Fs{AyW?W1QI491ntV<Vi)zUx;EWKgGGAD|#98ME1dcM%vE=k)W`!OQyp=n(1~%
zFX<{baCHdw=*MMcu`$WUkKPVqO-oDLOc6Q8|MTaMp{Z$I(}!z0PCLegwEUNlS92|w
z%Z|2M2eV(Ewc(E&3(}OAf4j3hFq1!^;T02e<^B8j8{^LFSNZv=z3@mHK3tRB_}wEr
za$Hn!v~=6b(UH$?byzP*C6<|)`8*#VpZc(3gr4bG$>qMjzJ-A-dK-RPnRr3p#h#Rz
zIQwx+!?+ZgxEgrmEAB&l_0An)>t8?XNkoo3zJ0qHE9gjuXt7gf+b%0`^YRLO^`4*C
zpZ)bqJVFn-|NJ@G*4Eam!_~sX@88d-$R^k|S(aWG5D*Z)al=PFJSL{Ks_K5oZ1`<O
zB~{gtDK~j}`7piW*42V<si~jqwT%kLwR1MQlO8K*8t}v@%gOc3@pyT9Mt%G^loTz^
zbP;Rgz%p9E{!U{M{e-!@iR*eg32h&rUdyG1`g+?Uw+4SIRC9Ot^D~A6r}4dA$^j^<
z3m2+?{NRo`R1ye64fXccB_}h*WLbO&4Xs^SS#j{e9vT>kd>nZvskBt!I(j;m&ss@S
zQ#PcntxfmA18i4U*Twbq4j63+>Q_fX$Jei@B-+sCx=)`N)`s$YP#+T#I$%bYZ1{;O
z**(}Q_P<z>xt$(PST_Y<{k^rNEhTlX@?hz9$ZWCouZ6|MX0wrku91-#>HzOhrYF;I
zS<?c?Mq2x)A*hn#V#~%rT2%9s7@kd7NBJd_a#Pl(JcEw;S`v|T7S-j_4B^4=+lT9w
zHxTkmmwpJ4T)%$3t*MD&NVrKTqjtEUrbcXceIj9JXD60Z@4UL28s-go#~r*%?N+BP
z+z&@&4xcM1NbvIVR-B$3{@&c2qR@2d%9N$GGz`XKzjezOmZGh_UC+?)W@u<AIz*?z
z|D}pb^z*WmlpEXI+aKfOW$5YYsRJZJbQKiH%gf3JVKxsAoN)2*wv!??w8h2G`uX`$
zk&`#T9*-BW4;&vKPtV9m>N1>d2)M%cvIaY3z?0Bpb90lMlCZ6{RYyyULF8ydJjN_!
zHLL04$B!<@I|Bl0=J;0H+KdC4>aBN8`ZqrN&}qZp$;Jz&mNlqMnC(<6#5wP-e3nRj
z*3cHc>@^z7U&8s5l_KrkyK`>4Lk6g3`w7=b__j}RHA=OduJeVJJnB=_EfvaFDz#&E
zadqXeoPHp9v{BpC*7k;_b-(iTP^7N0Q9Ns4CMChm6Hby$f^fi4o<XfC&ou#oD@e9M
z2VGkXFUi{4+F+%-h`+=&g-kX4kd2+4hhk!9cGt!TLJSQJs}fF+3|`2~zuZ~sdvt}B
z$7~pzgoMQZ3NP_RCh00TR%Qi5AC&X-U-o^MSBS*&KuL*(pnk7U(4#ijO4rYLv{#HQ
zd1dg&#KcUktr4S*_mUr`IjKl0HWYKIQ*9Gn;nC_(SAJ!0zpgMckoP!PTuh9VoIIID
zQc@B|E}qz>b$W7qj)>@?v@~IX>ChPp3JSynw)A{QLXeR2Zj~vI&P0W)(htK6$fxXV
zQd}>rM2P?~U0oF8wQD&h19zlC-n^{!e);QXoRq9=W7X@k7ieh%{QdoTcCfLrZ=Mb;
z+OSgx@Qkda>a|8p^(kuBdlOyBw*DnEJ3l|2Q8+H9to-qBcW{l7v2$?nokhi;WOY`N
z<KGwivouLU%=-6!1ZMhM8<cR)!#gi2#PlC6HCiA~m6h>Bo3S$#2#|YjNB6u5sXRSB
z&!BGHxW>jt($&?4cx-IEnzQvIXBBgC5u9(2!Hbhg5iB`>?wm(Z5XqxQkHTaW6%@XF
z{)`oQN4@4NIyC#$l-R<K)7P(Gwd&trE`psNZg)4@-PNriR!P-t_;Krvr!QY#g(8@~
zJElNy+DAo7ipa{!>gwuhZOt~D1(xfzlB<<F<&WJ+&al=>3mhIEmT4@$Ju|hyVevBZ
zcJ7dALj<cTg4~datr{<P&VjePL_twIGIHg@g$sy>>*4O_?Chub1HGwou#kcBX$n_4
zIG*88wteJ!CMW0B+xsH;0UC|3t)ufHBEtLV$fd5nerjv3bz^T&($qA4i?WGa)$ELi
zLfS)h^|;(qOd0Qzq*qqQMangTa&tMu!o#m#yLOg<oaO%0r=(0Wv4(l;1qWJbGO*jA
zvEW-&9`j)KBur{z*E?DPyUFss@#T#nGuh>Z#e4P!ZM5HS@H#_L*E2O`IeYeOYL{VD
zRFqU=mlTw>RJoMyiHU^IpFc}WNln72sAy=~pqz%xF7>71dl>wTHR>@pHf9zQ6ujrK
zp=F$}az~>qs=d9PJElGMo+YEYx;mfv=sj;AAM3;2RWoz3OpWsIKSG0ps|*rc`}Jc`
z#a45VpjfVrm&0SbRh2+W4l$#Y9jn%Mjb#!M5fR~ys<VR5yXm<>`4zB*RaeCgY+G{M
zY?u3=rSx?5^@W?8n-iWp_cVSt*vw-0ujeB#Mo85)XZKw;7qPQ(mx__mt=r7Z!x@#Z
zGBKX5EiGY^Mk57gGrt#m1WdE$nrrL*C`QsF^*)N6>|YC_73g0z=;<FurN%lq=l1XY
z#7yPZaNfYh8!{V5f40@Bz2bW}O&W>?To;K=M9u9}LgV6S+0fmMfhP(kW@fBzN1Kv@
zC;KxFGXcEp&by{Qbh1x<&f*b!%+~IWJ6pui+gc6Bc*92B=#`V5^1TsHdX?PmZmD4Y
zg73nD;q2TT-|~iM%ez9$^WPafS-yFm%l&j-;a3xM-=%hb>?uVf3f%w+>kqSZ<r?e$
zPA`7FpBoM`{B3V!Y-Pu4{JG2U4u7e)s?2jH#p6Q?m*j1sx0>Q@A87rn5<}iJ#;W@a
z?;HvFi={;9TTy!CA)j&>raMR;iSQMp`p6V@@xHuyfG{CUkLgkOO6l%i6t!bOHzYFr
zKz@*I7UeBJ<GP@Whi;ixk~(K`*O5Rqq?tp81>N@`nDzk^**VJa%Ws~EbCkcj1b^i)
zci9+)?}w_ASH4w!nT*bT?(%yMdxYZ~@l$HATMTCe24^*0D46WCHTJ{d_4jefniP88
zyK|t)=oWW8&9SEWa^qM}BUJq8<bx;m^dd`2`1jq(*laJ^eD<lkJoHm3K-r^@)Qe0I
z?{{OH2FqdugQuxMuKxo=t=s~2aV1?U-*V-ijQi58D+^sLPKLhB_}PCB6V9pKMQ<Fw
ziqJiscwyxSH!NTk&QY32de#HGsI-Mt#L`4k=5R{xF5@f0D%XJwnUlE*5w${%vJ{0P
zN0xT&gKm~&`-+qelXt0aKb>c6@??I;K=2={^zV7X?)c#Z9x+Xk&n(xj>9)Ro3#Z{Z
z<Uw&*#J$ppE50bSdn~jX-d*F4%u0IYh`H(zRQulEUZFuAZ@!V?$(;L%JzswCm3JCh
zJ}j*XND+tEC?hj-%Z2vy%$Ac?Sfz!x=KrVrn(Spr5OJqVQ_Ql{$Cr^)R}TQZaDhZ{
z14)*Ndw+V6bt-0QnUj0m5`Np^U@@huw|6#pMp0gVYB422!g@RZ*XYBC52a*e8g3-G
zcwUnX)M|}jCFaXaymz;0Zf<Tc-z1Xjakd|zCqUgcj;C@dGE+YV*6Tit`;byl_yAy<
z_MvyX|Ki0Zz@_*IJ0;;@iESDgx3h`4xrCdWu&y#Lg1UbFD)foM2{(c7-@m^)_-*7v
zvzHtUCo}=@U1kfQ82}IHEf^vok=0j~-@h}r<c`kSsrL5vc53JRP_@WWa#-xXo|eTG
z)1IE1x@Z+6Dk=()VZ};aE?N4enwnavU9$AY8Y(XRVASKskMTdL)Al#iC?xPNv!Nv(
zJYZ*KZJ!tJZwN)jL`MT4(%s%+wX(8`f+4K0l&SQEG8`TpSS@xZ+1T5spwO{g2E@zD
z%jgh*JO1z9eFEfve0+?liXpR5Z9ayDef^=s`H}L{r8?-^!6?98RF^M5jFV}^I*Yqe
zPoeoj=49Rd)R~xy^Nogv1|dHFl%l5V!w^CHH5wryp<=TU9w%pKxx}tl-CxmVR&(#$
zdDe?&h#!SK0NA%SnB#>iHtJylcv=3)H6ya}^u+m$7Tj>@=FMBTUP?&dHt&iS@Q@cA
z=$fcPmpt5C?*M=&^O5uIojZ4a|NcFD#iFcQz0_{Au<|&g+dID^GCaJiy**&P@>JN>
z#bqA`XtP+B#@U2Kg@x6@WY5pfb8>TsH8(e-nmKeDV78u6aYMVE|MiPYNGMKNSeTnS
z0M(qH&f?_gn3J073+R=Qn0Wp%TX~(gH!e8^1s4m8|E*iMFgI9UUaqXF`Z%$xDc}mP
zRm~fGR2B{uGBYz{#7-F%8QBQL!fk)bhi3#eqWOV~i|fz9a+ZBj8NfGVZt5gElT4D_
z{G5e!*|?p;xi8SIt2=}b{ZW4aer>@w6FSD#;_ryDEI+FWQBqR+madwoPXuH`)~~*%
zCq-5+LQmnv3wEF~Zf<VUPoC(>$z22_9JaxtTHyaUg5@e2)7mO3Dqt^tuGacgtu;BE
zZ^CEN&k`@>9FdusIa=n(<$m(V0Gb*ctOC9qI3tf(t>@dO2-wQB@}A^6%lQFD*j*io
zWD0GbcgyfHHDNK`Nxgl%%F<MDF#dc7&PPe_9(mxo+#dSMw{PAsu&_ug2L=Xu!x5KA
ztUftDyg*I;J}QdRbSM`GmJLDd?d{tVMCbuFzXtSD;d+>D*u{w4hXp3YJu4AF{kEw|
z>VbrWHel{x6n?EYQSHw-fe-QVfxv1Rflg9UQJF2_L)SgY>RHs{rUoRd4%3GrsJs(D
z+-C-4MULM96ZO)K*(t!Bjgsz(pEgPB7@W7pJ{TuHe%wzR9v;sAQM%JOAMu!J4AKF9
zbo1uT`&L$*z!phqX^D_?BqWL&g)lMz<2vJIj-87(Q9NeU9wwqdRYcKfU(P|e1_o&-
zJ&t5I>PE4s6_GlX)4}FY%F)JIt2}i}QV*EdOc-H(o!h5x|4>4rrl;p33_eQG(JIDF
zwZOExFHLd8)pL-VK-Kj-)Po<DaXAJPw9Si(x_LwCf_Z|L)7XHW{N55!d?_lT1pe~w
z-8%$X87U-r`}XalBB*=kVKUQI^3VJF`aVJc5BWw%Q-4iP_C!I4C%tmT52z+E;cGyc
zBiS^)D=S3+=!G}R77Q9+M1H8SE-fvE9S70yc?Jm|e5=*_zhSo89$AsGwf(<LsMGMo
z+Hdu6Cr(K^ew&**IyzL8lu`i_wRLq5fR6z$mWksJKRG!eBqGuSP6BWJb8=EEA|fIL
zrI@Ah1QE2JmyWTMlapJVnyRk$!jntuv)Y`lH#Ij;9x|P;^S!vZwA5lb)4(Ap7&}sE
zVZmi!`cXVY7cQ0Hx~mKXZ5AqMYR_Vk^PYLgEM`Y**PTm>TaMIIo-eUo{?@a&u(b3D
zN(?TL1zGi`0&87Woo8xlrunk!ixvj(n`<EkpnWeLGRgSyBkc0!%d7pGMXx@$--k85
z71Ui|Hqrnb$$n6yHPpwCf~`QAt(DUqpcS2fUHV8zaz;M-Ilh`b_uadjFj_(P6PHNi
z98975ZE`RYol#*Q`Q2-j_U_%gf-d{)J|y%%J48-Lry4J=JPwy-b^7x4E4HlA&ZT&V
zY5cZ$p^>4vbG%53$bUevQo<=*D>;o1I8#o4@9LAme7V=$EM7AVY7a0x4zY=vt;O`;
zJug8AN?oeTMLD~lL;0gpC^Y}d3iTUvsg~J<5Y9h03<f^i*&Sc^7E>kYUYwqLYlVDE
z6YspS8B#xVH#NLy$eMvoR{HEDUe$W!DFHE~=gNH)85Sj0)TioeKQkrU>w0TM$-nmW
zwO#}qgpZJEbvAE|kl*H;Z~S6mIsJZxAwJ$AnEJPgGSg(&f+t?Aa%i+KgTOn~)n{kg
zG8B|i3|&Szsj*Qi_o^z_Q&MJeg^<E!9;&RC4cUP3C4Q&4PHVUb5^}}u2G+3Mm3PAY
z_?9v^(K`UiUMoHDpf&rTp8aiLxfll!PaJFWr%H*M>&P7iiGeTSq+35(QgiKZ%kf%1
zEZ_=wgA=T^OeV_3p0&qZa`zp>NX(l?lu8f>7R8yM9es4+8IJty#JST+Qa_xB3odGl
z)1IBHd+6yPsbSwD#*q)E)uv~55JFaZZ2z)dv!(v!B|U;V+4l3iK}pKen$h((n0cIj
z|2I7R_ci$kK>qhUVR!g&0+g~8tOtW>Liz0X@sI@{rW=Y@;{05$2fwA9xqBPw0uT?0
z#IA#bgPMtn35_S`nUe>WpQ)>loyZpL1dn+VB6M_g=gytWHVE~6beD(cOG(MF`Km7;
zfc*b<4|cA`UGg9@Nj`dX9x&akf2~0K!OrqCdHKGn0!0l+oU^!u3v=&>b8R&;)rvhM
zHQlJL@R)kYq*#mD7VyozSJTi4gx<_I(`g6i>uqdo?49+~YCQVM5sS));^N|^Bq7A<
zKTJ&HD7>mYGE@t{6c-mqrY%vYsC`fc-SI3M)QHNlf~6(n{r&y>Atif6O~b<~4vvnZ
ziAINx%&nZvw{Ks#bg6f0nT4ESX?a<ojMJ`ney%n0B{y}c{D@AFkT?8dUy_io!oTd5
zUvbuB$ke-8_j%?wAc*WS?Hd~#hJ{%f+ueOLJ4`9GV<4~Gx`qGx_3Mq@-G<R(>zC}5
z2%@a4{LbJ10Z4CW&Ys<D<LW>Vauy{IP#yA(uHCywnc#MC3;Fcv69Rzp0jO)B=X{8b
zO;=m&&rtQr&Sr;KYE4$XZfbAGd9~V_8W~A3?y~)4|M0MOV1Od@hO7jz>UJK<Ai99}
z@6QYV?iAmj^ddo!7+wpI4!Ob(GBwwv4f2(iL5k@}5FvqTZ#rH^Rb5>Ta!<W=hma42
zh65HfhJ}erk$9J_<~wnb{iXpsPgW<Zy?(K&6;)-zTVF?*u3yjj{{217Fs39!mqS~%
zMR7<!ew@hC%5wX5;{Q8I4Wlfc`=_FsF6aY*g2LVO^!2xP1~dyxXz1vE78Tt)nIdsF
z+=d1}Zp2z}(5XCug^?JNG_pYb5y1BV$x;8|L!8r-y~>Noj#GL2_Hz}LM+gQT+o+XH
z*SsYVbl8}5{B^zmeLQwCh#ks>`t8(#^dj-(es4kWO=f9L|MpEwMuzzK=qM^Wx&;(h
zKzFyMlnYF$B3YEhLPpD-c|lnPbywW0`o33nRldo9706q_{8>OkD0bY|KRMd&2-Eur
z-OKD^{Fg6`NfCV3^BZp|G_r^EB}Lby9USi6kdCUl{y5^tABXLBUV)5yjG8mlt>3Do
zS>f^#!C=vwjes|f00o-GNA`=ZnW~l4jEmY0)9|5C*e_qcY_YPj;TAsG*D>U#UYV$*
zw<zBs=cXoF1HfEVRD>X-V`Ci9X;y~v@VNBbssK1`Y&O!LMa~ltz+PoH?)}EoNX2J`
z0x8TpPQZRT$o=S=LY77VP?~hrLSg`Q&vs3Y=`O^{;3ak$=C#K=9c?xW#9gz0;g=z7
zlk_u!&o)7LK<3ZJRBgCf2&!5;=YC?Bk`P-4pSGGCYYI+rZY~*9D89;SKJR^65jPrf
zZ$iN8SRtXIA0i`tKs`Y2J2(_=l|1w#zbY(Dw>{tPC6iJMo&=&M@CTqZVESj~#J6wX
z?&|FH0Ezo0Z~~>GS66>K2|a)QJX^c|{HXis@uSiV3x)kwwGM@tz}{!DAwU38ju^>z
z6e@@wQ4xUAn5darF13&UkFwXm_;8uUgzzPDa%L|f+ocyprKLKca!N@{zmVztU+P{~
zo@P0HOo(B=%A5ot68Kky)U?F;YV{3}(26lhgP?rVozHpvrM1J3i$9A-drJiVU0{gK
z?4!m11`O5K*5ZGv4N8;@8czSqZgg~wv9-0ut^)7mR#u;JzM#!QaQk+*Q{d=Ok<D9X
z^IetOtgL##0DNf8sJKHgg@L6Ng)s>%!Fi%B7_cgI2bjjQ3@|H5<fKWbG4R%^O?W;J
zIyX7ln<+F^b#>>3forzBfxWT-+b)0nlIMQ|L7yARXj;cbD^ka~Up#;AnG)}GURH1u
zTfZZIb;at<m3KXr565UhXl-h3wYH<GAzDZ-VI=Up`}gjoHNa;D!akJ#)uFGSp6{OA
z`84Lq(wd6~(K%~iBn>UkzCBD)F8uu01iB38W30MI=flU9lb&B$e%jm78r#bWxs~2R
zOC8ObF*?Vp`F<Z-jifxkdR@P>Ro#nO%A@`=7QJ+&ah!Unif;-z@z)+LI)v!llLY;?
z#ost$L4a*YUpFEM+5O39HzE^_wT-73Zs$^Jg;?T;Smgw>k`o?Hil&aHzD*4)Vib7i
zD;13T;Wp2-*Tpc7!9nM8y`<`NIH$Ue!wK$IO5epUy(mY3x4-AU#nbF>z2M;DQ)ypm
zlUZo;T)^_79TI?pAFQ>e73xdcLm){iYKM>oc`huh>lj|wLT6Ff5Ri%%<b7qMBpPua
zGaj6-v<wSa6(a%Y^N|o$wHxzN`i^UGr|Qlq^Ml}3-!K$@5EiY>Z52aN7TjCrKUSr%
zhXNyxY4?zGSXv)YQ7C*SeD=p4#d=g8IQKW$4$s>$jvwnwl2f@M1!wQ4O^EG)#=P0V
zb4cb^t`yC1#Q!)is)E~Z@n@#^YF)3`e;AAZ&1wAq`$WpI$`JTw%E*Dh@_zaCTGNd)
z9`L*BRM4baF$kV{v6fmXILe7#rq}pJl^fStNsKFx=iIwlQpmdr04x(s+8NM{7>P!p
zn)MbsKZ9dotAOuG3xMVG*ROR++d{M;U;Y#S6mwTo$$tc#fi*WIKZ%J|m&p2{N7W&?
zEgfSEd>c3(Cp<kL`^8*~xBapsaM_=CrWF0&zZa8{k%`<5*P~J`G=FGodlw)TcnCg#
z1+?LiIsA&VH;>}CxCAdM2FaaP>Wlm7?!*{Sb#E{jP^r%D^Th=P<RG?m8V<W@wC4J^
zv^>Jb!Li-v_pA2=b%c<T{nKMJjS3ekiNqY$d{*_6AMKYNfWSJO9`EHqk=3I`hlPbP
zFfbteahdJQW@dT)mGQlcrtpqK{~7~@vo(X(UzMxZI{f1T4UIo=?Mukhr%ye=8DNAy
z2KNpc8?O7Gk<#V<3~?nTN=8OT_E(el!I?ROfa6TU#>Q6mXFdiD2E~fefxf;WQ|sRg
zUEjWas}d&>dP5?-k09C5aRHx*r>-B&1x86TjoOWvwQNnC?DAsc;xaNZ;R5umazEX3
zuhq`6DQQ<Z<^L|1J@pUBbEXP>Q3ZK<4qo0!jCUX-!-Ni`;_@~!GJ+nir>6(fkuFGf
zJv}{(Gc#aTNrkkvw0r?@2BI0*tsOvCD}HxBHr2~Ba7T~}o|r6vp`n(gB}Z*dO;kuo
z4OCE!Z<?Q<4|>sPk>xdL{`dc)dSS5(3&-Pny>@hTBqSu91<BAb?@0*Z`SaTP`pMlX
zZEeyOCkM;4cVeWO&S?EpV-X#~!pfQ?lQN@uvPBW1tE@}~Z(0Q2cFc(BPF5m+=|3RP
zjmGbLJE$hm0$R4B@0x&N<)Fes9xv<~oy(H<<%=hfh2PuTI$)5%eJ#w*CB=pTaJ6g>
zxsGZcE4A+drx_?JxS#L^x+1GVdvraZt#0r&0D#T|XO&itaNJpv4>>(=_3YV)=dEBz
z@7EBp4VvbaVj1CYT?-Pd`IX=v-yyU|L+`x80d#vKH6@-Ajk!lanr7Q27$`OT!-%JF
zXi3w4*>q}!VS-!EFF2U=&D*!PTA|Q)F7I?2a$}rKF>&z=7cY9Tsuon$&kZ{({wKVn
zpGO4-PVJY6eh31$3*sx~UE@pO6<(mC@&%G18iFFc!b2!vzxKe%i657k<{iKh@X&sw
z-e6$3|EE$W#jDHk$B@1(T%0hg;((dQbkGAZ5+g4!1qNodw6r{Z@!}0QPdtY{-rmz-
z`12InCb{#*#LVkw{SEhIkRz{-_ALpiIN`kEz%G~2(4hO0n23c;O-;2dle4P4+241-
zShM_bGR2nv$rJn}|1Uj3)rq>zNXPsPp4Ftei{HQ!1wn6rDJ^T*)Pjma6;^)z;7UzQ
z{S)hlJTdKqxq1Z1Bq$GqrS@#(chufZPis3kJA>7E2Fd;#^qGq0w`GPY%rWj`Mlmrl
zW5L=n85<i1M@N4j9cpZ7U}R+_f?UTtKfhYwNmJ|VL4$)zO}V2+0R_X@NQOe%=%q7N
z|Jv_+hez*1I^nuUd$JW-i4^Vrm;!JA3Jl87TGimVv_huZd+p~3A7a`TxI8W{?(@Vh
zb`FjY5{Vy}LVZDGPXbX2*x*Mn<zN_G_wGd{B_*MnK^nV=bj0%YB)5b9=;Yw=YGbmx
z*EnCT%z*<;X(OH(KJd*;N=mHY_z{wj`~ry*ePR+g3i9wj^Y>Ig=KaImqbc6;Nl2il
zcbLQi8C1cs9emuO6j^%k342;w{Z2ROPentUb**DEPHbNoDBg1pT;U!gvhoAx5!6<j
zd%<vOTCCt;>M1j!%|{9XK#5(?E|0iDLcykCnx_$=2L@b_pxsJTw~V5)Nhr$1*f{Ld
z(Bmghh=S;ZTEH5(W3im>K9(VeJ@guu#9@EqB{98lY=Zkqv3QVenzdc9MKqt4ER^X<
zI8HSeWd&bD06?IWruwycbPBl;#tbhj6Eujt`umK$=7+bcJ{X%0gOTpp2Br@zuO6tg
zRXb8&xf18(l7cg&owH(LXh@m9%b=N~b{KEr9+}K!FfeV1V&gBxtriX8EMA(ZoaBmI
zzjZ{d9k`-}O&5+5oL}MZ&HS~_c8NcqJG2&w#Q{8W!QJiYL38u<)Chn#q}Ner*s<7^
z4;ZS4cD{W)mwOh?Nr&?p=TrE*#yIsLj1VOCoV-y?%pt8=budIa&{7-yoyl{Bf%C)t
zNlg(sS<1VY0N7j*wewKa_$(2UEp<jMJe*AJ>eMFuPHBxt>a~O<aYUVA%=UV6Qg8p#
z>aU>34xy4_=<3Q^`d4n<m|A7%67G%6Cc6gXwlnG8lwp&6pG5R`wb6yx7jy+e^-yAG
zL-SXuYZzOlR@$S@akPzJN(Sk7i9ddU_9)Fb{<~fGb*=DZhY@6^Yl>8P0t6h0lt*bA
z;bu>^-Pa|0;Z-y2K&+zmlD_83qeGwNe!so7|0)}48(;majrw;C`|p#D#0uTI_P{nj
zm9olCeE;m4L>tW+r2AuKB$#zEVAfF-T1=csEAFlLuS@nDa+4I7l#I`>jW4d}lB>L!
zS3evWIlS|W+-keXX@}WgLgy;dh)so*m6u;2BkLZE#21S^23icAd!gT?j^;n5%l-@I
zquI6J1&T*Z%m2o4d!BEJl$R!Ce>PNhIDLC#qYB8TC4{pCl9FNfQ-MJ7&eylP^RxJf
z8En}q(1xEuT?WQZNOO<We$*0A!k_Z<%Jz^!Lbc)1z=Q`qyB1PYTYG_yZag`|-=C0@
z(3^O9ztH`V_xI|^fK0h@$4kXoaBpe&tm>Y%??q#DE0D<-yDLzebCH@gTI^Nr?L;aW
z<WO`lmieoN&Z{ZCf8f6uA!~Db^h;#KEG<2~4iZC~tA!Jcf`T*<=HZ3V&B-tK6Fm3h
zWzFzo%&l#0Ss8K<Ok3@)C?74#x{Il(P)ji%(h9p!0-rL3n84nYVfj|1Y?em(`4I3D
zRtxTObAPg!s0jYLcC5V8&>*p3Q(~8O%@-gXXj}m2lp`!5yF;8sOq)N{*@@&0jb;op
zJ&Ep}KYs+i<m7TzWkc94x#3>NKU;bjRV=Nq0AwOFS`0>b!gR6Xcvp24#(MA7BoYlN
zp85G?(}^4%JQo+24Ve8evI!>7q97yTwjDDu+2MY|1>KaxbdVjXDzcnmhji3jK8$=2
zunk5}05Sg7@_O+vI_Y@9V$~Tv5@Mp<dhO~=_0m_r7oJ76>-*CQQG?<18k1Lw<9`eE
zkP<>Y)B(6092`p7T3EpFI}0r|1rHVykxU$m_UOA(Qc_h>96C>d1wt(3J`lLHK5c*s
z(2%@P=>28Q)Aw1GC)5D}0T4541i;A-qk||-x@IL^<>A=+#-CpaiK(gh(0m=Xnr}e5
z#XP?qY@fu63OY>cgzVx)4!Dh@<8}8&2$E!jsfidCnwrrZ9UX<utydfp16+86LSuX*
zn8<9c>N6m`#EhixtdqF!i<k0aVRXIYgPmFoE*%|JyL9Q&WW4hl76JjAMCj0%cpcd^
z`AkDVEr_4K@E6yc1_+3V>H&yaLbu`(wIlbzEru*m2x<yak>U_~1gld>S5FU<U<50J
zYI=H_-EKumt=I~Ot@4OdTU(nQ@+x59On;E1d+p~(0NF1h$jv-Ul=xg+Oa&n(CP-%b
zLvE{Di+wVHcN~*Cf`!BE<!OjPy-iEIee$QnU3-1JT&djYu7`={Wf0MPz@Yq6Rz`z)
zy-e)A*IkK{s%Bh#d{p2#vXHZB_=7}*R6)vWL@g&v6W0T71p;X#!Fp8SjNfEtt^x0d
z2>F(g@es7&2sX_?Kv%u}{n{Y$0E};hRZKU(a@RPl5BlYeSF4YY$LuEpgk2A`0NCHN
zntew$3rQgeyx@7^5-n|vzV-G7KWlLQPr$o(RWO#3^g}Q_pK5AO=&OT2-VjJ@l9!>`
zIwi|W2QAvc!GQse9cG$g8Sj&!(P&BmI~MQ?K?Uf7wjCB3c@1nqaz7kU`*2^ae&^J0
zqXgxK1~e)Fj-ZtxXt;>h(f;N=yA?{Q8bj{sw5$rxYON|zgFw_Zo3Q4zUsEe8E`EvO
zfFvZ6j*i9cJOX4OTf@jYmN*f;@tbHe$fQbP5F-*C8Hoop=7FT-*&@4{UMoS>k&^Dp
z{yUl#{#*t>8GxW5>;T3Aap3|*Ks=y+!2p!vx<5)M^K4H9zIpTJ=Jq@}91y4SiuT5x
zYCCKnjSqN)l%4aBmp+MlZ9u7kI3DH(AZy`)LQ`@Z26Hk%nF7h>A!u$;1z*F%mqWRF
zhzI!E5PQ`bE3q{Tyhujo>EVH}Xp|`xKgYqt!#IET<Blo0n#+z!3TbbLObY-7KY>Hs
zPJ_|&FuP8_J^C%E>;TB~hbBOl25|cq@SBl8YFN2DY=UIET79U4b>aZq4y5bE%uHes
zd&UH55b(G0(t6&L178N}Y?dbzZjGt7N-X4mQ7j>ibq+F`7#y?RA<_unSuRG-Q*SB4
z2I}kTv;fk#gx|w}*2%?1e2n=xm@Qfy(mODa2%B9oQ>{AtWi4hR;h7m&F)?5=5`i?S
zKSmCgdaUwu`jX2XoSe=S?MmfpR=VATv{TF~)bWkY&79(Pg;W0X(^IuR7a+V*x^^&7
zDtWpY<UR=z<|qKdH8nM#`iwW*!7why$H{b^mRD5NsrJNCIMn5dv4oN)9mA7RT02Eb
z9H-Kh>krdJR+WFzYGshapI(FxlTjWiWP@lRf<Q=CTwXq$EE8-ET3De3mo0oa$6+4F
z^SqU!Iy%<^>4X4qTZ|MC0Vlk9=T3vFMLC=RTo}6cY}1E0H=~vGC&(*HON<>HeoR0>
z5N<}xdUingg0YFoGgVbTNHbtu<&CYa8q9nc_uhoi-PCMzD3UoQ>9RLwPbuP7)@~NJ
zlVuxc&=HRj6`)8ELVRsb2Lh)zZ{HS&5SpNnkR`zMDLBdxH8kS4>Jp(Kz-1|gUG7N)
z(PjLYfRrQ{ERaN*gy_d01OwnD9N;Y3xmLOve;!yaJ)TV|rEz+=3)aI&E`trwm(M~z
zqG&m@6ytwGWOHT3RB&(9`jxG1y;<RycXQ~C8O+;(dxA?y=~22?LI8fse#hyNY?2TR
zPjGioXArb^fbKr9YwGIiCMyotyd)Au_4S!B$~74NUvhFTV5&WTnM%HX+7kqG^zBv#
zvGRueAya^fenT3faes3L>(dw~VmeWw{>Q!2?U)oY2at8d@InZyW5VL6C+nv*0|Saw
zk<M$yc+>$6OFRhA;Xuhx%!y@Ye)Q*2r#7Sjz#PMn9(EAg!J54S`N?`{avLXy>$LzB
zBoZ%R+CLc?*{}=FA+*sji(Lq$GH`N|fpEc~rmj9hqXWrTptJ6!mTo71evLd4UrALZ
zu~1A`vJ_@#-zZr7NpE6eGBrKjZLS42*XN$aFoP1P5*P;ug$8wqI1oaBQ$$a!t+`rS
zTc_sca4ak=^n}naUc9K%<$T%sNp#GK$1LLs(lV2|Y+>pa0NCM$f&v(R^kD9(5BDpd
zI;o_vv;r>k=rXLsRCS@iWwXk%oQe$y(BrSWteZF`O=F$KwJ91O7$_WbgBE*}jZM<d
zuAq-k1q^S<1AUcNENNAVL1?xz`oL&VDHl^7`Rj#YbzZ%C6{O*uSTr@xZ3E!rYf{on
zkgi&EZi+7WTUUD9Xu%jE+?<iuN@~u@J9=4})Jg2`A3gw?yg;qQ1|Q<FR#F_Eonl}y
zl;pV=dYa}a#bb9?s$RwyBT-_BxcxKpFQ0>ek3yL1pOSR(2z+j&qY;JAY9Q!`G7mDv
Hv^@V0i7Clx

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_classifier-members.html b/docs/manual/classbayesnet_1_1_classifier-members.html
new file mode 100644
index 0000000..1e44557
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_classifier-members.html
@@ -0,0 +1,159 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_classifier.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::Classifier Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;&quot;) const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_classifier.html b/docs/manual/classbayesnet_1_1_classifier.html
new file mode 100644
index 0000000..ef57099
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_classifier.html
@@ -0,0 +1,1348 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::Classifier Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_classifier.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="#pro-attribs">Protected Attributes</a> &#124;
+<a href="classbayesnet_1_1_classifier-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::Classifier Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::Classifier:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_classifier__inherit__graph.png" border="0" usemap="#abayesnet_1_1_classifier_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_classifier_inherit__map" id="abayesnet_1_1_classifier_inherit__map">
+<area shape="rect" title=" " alt="" coords="221,252,358,278"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
+<area shape="poly" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
+<area shape="poly" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
+<area shape="poly" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
+<area shape="rect" href="classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
+<area shape="poly" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
+<area shape="poly" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,252,173,278"/>
+<area shape="poly" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
+<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
+<area shape="poly" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
+<area shape="poly" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
+<area shape="poly" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
+<area shape="poly" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
+<area shape="poly" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
+<area shape="poly" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
+<area shape="poly" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
+<area shape="poly" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
+<area shape="poly" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::Classifier:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_classifier__coll__graph.png" border="0" usemap="#abayesnet_1_1_classifier_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_classifier_coll__map" id="abayesnet_1_1_classifier_coll__map">
+<area shape="rect" title=" " alt="" coords="107,94,244,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b479c1ded14080688231a67db7da7b1" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a8b479c1ded14080688231a67db7da7b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:a16a59775f8654aed7aeeba7a1ee401ae inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_a16a59775f8654aed7aeeba7a1ee401ae"><td class="memItemLeft" align="right" valign="top">
+virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>graph</b> (const std::string &amp;title=&quot;&quot;) const =0</td></tr>
+<tr class="separator:a16a59775f8654aed7aeeba7a1ee401ae inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afb4704c88bb960e3ee1d2fffdff0591b" id="r_afb4704c88bb960e3ee1d2fffdff0591b"><td class="memItemLeft" align="right" valign="top"><a id="afb4704c88bb960e3ee1d2fffdff0591b" name="afb4704c88bb960e3ee1d2fffdff0591b"></a>
+virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>buildModel</b> (const torch::Tensor &amp;weights)=0</td></tr>
+<tr class="separator:afb4704c88bb960e3ee1d2fffdff0591b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
+Protected Attributes</h2></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00015">15</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a78801dffd989a4b88b6c9ac369778407" name="a78801dffd989a4b88b6c9ac369778407"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a78801dffd989a4b88b6c9ac369778407">&#9670;&#160;</a></span>Classifier()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Classifier::Classifier </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classbayesnet_1_1_network.html">Network</a></td>          <td class="paramname"><span class="paramname"><em>model</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00012">12</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a1d9ea38b8c9555fdbb83218046426a01" name="a1d9ea38b8c9555fdbb83218046426a01"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1d9ea38b8c9555fdbb83218046426a01">&#9670;&#160;</a></span>addNodes()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Classifier::addNodes </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00155">155</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a3247e1fdc38db1b22592a15e74c5c29f" name="a3247e1fdc38db1b22592a15e74c5c29f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3247e1fdc38db1b22592a15e74c5c29f">&#9670;&#160;</a></span>buildDataset()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Classifier::buildDataset </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00030">30</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a11d1d74615d8c844210dd0f9af7bba1c" name="a11d1d74615d8c844210dd0f9af7bba1c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a11d1d74615d8c844210dd0f9af7bba1c">&#9670;&#160;</a></span>checkFitParameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Classifier::checkFitParameters </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00079">79</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6bb02467321b4e51b066daeeb29a88e8" name="a6bb02467321b4e51b066daeeb29a88e8"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6bb02467321b4e51b066daeeb29a88e8">&#9670;&#160;</a></span>dump_cpt()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Classifier::dump_cpt </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00184">184</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a4b05f68bcf29f29a57a3bd7b9db006b8" name="a4b05f68bcf29f29a57a3bd7b9db006b8"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4b05f68bcf29f29a57a3bd7b9db006b8">&#9670;&#160;</a></span>fit() <span class="overload">[1/4]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00057">57</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a03d8bfae1f53370a2736ab2720e06966" name="a03d8bfae1f53370a2736ab2720e06966"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a03d8bfae1f53370a2736ab2720e06966">&#9670;&#160;</a></span>fit() <span class="overload">[2/4]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00068">68</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="ada042f438f2925dfbc8505190ac65134" name="ada042f438f2925dfbc8505190ac65134"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ada042f438f2925dfbc8505190ac65134">&#9670;&#160;</a></span>fit() <span class="overload">[3/4]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00074">74</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a80b9b8b8ba6eac55e5ed7f4ac92bdf94" name="a80b9b8b8ba6eac55e5ed7f4ac92bdf94"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">&#9670;&#160;</a></span>fit() <span class="overload">[4/4]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00049">49</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a10b3dbdf42e1d42deb6e320911d95241" name="a10b3dbdf42e1d42deb6e320911d95241"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a10b3dbdf42e1d42deb6e320911d95241">&#9670;&#160;</a></span>getClassNumStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Classifier::getClassNumStates </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00176">176</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad5190e5b210953162d334c71eff43acd" name="ad5190e5b210953162d334c71eff43acd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad5190e5b210953162d334c71eff43acd">&#9670;&#160;</a></span>getNotes()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Classifier::getNotes </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00038">38</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="aed20da20e72a8cd5c2fae7a14565260a" name="aed20da20e72a8cd5c2fae7a14565260a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aed20da20e72a8cd5c2fae7a14565260a">&#9670;&#160;</a></span>getNumberOfEdges()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Classifier::getNumberOfEdges </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00168">168</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a993c490b634676fedafd618dd3926ba1" name="a993c490b634676fedafd618dd3926ba1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a993c490b634676fedafd618dd3926ba1">&#9670;&#160;</a></span>getNumberOfNodes()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Classifier::getNumberOfNodes </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00163">163</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad5b81939ecce9783eefd02ed7e6a6ce9" name="ad5b81939ecce9783eefd02ed7e6a6ce9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad5b81939ecce9783eefd02ed7e6a6ce9">&#9670;&#160;</a></span>getNumberOfStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Classifier::getNumberOfStates </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00172">172</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a469fcb6f35fc1418861a0d39f7760def" name="a469fcb6f35fc1418861a0d39f7760def"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a469fcb6f35fc1418861a0d39f7760def">&#9670;&#160;</a></span>getStatus()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">status_t bayesnet::Classifier::getStatus </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00032">32</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a3d1d2b50b214a035dfc29519a98cb823" name="a3d1d2b50b214a035dfc29519a98cb823"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3d1d2b50b214a035dfc29519a98cb823">&#9670;&#160;</a></span>getVersion()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Classifier::getVersion </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00033">33</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a5caf1bef3986ab4dfca40260c822b4cf" name="a5caf1bef3986ab4dfca40260c822b4cf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5caf1bef3986ab4dfca40260c822b4cf">&#9670;&#160;</a></span>predict() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; int &gt; bayesnet::Classifier::predict </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00103">103</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a8b479c1ded14080688231a67db7da7b1" name="a8b479c1ded14080688231a67db7da7b1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8b479c1ded14080688231a67db7da7b1">&#9670;&#160;</a></span>predict() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Classifier::predict </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00096">96</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="aa0d6033ba3ba5ded5247a15ef8416d85" name="aa0d6033ba3ba5ded5247a15ef8416d85"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa0d6033ba3ba5ded5247a15ef8416d85">&#9670;&#160;</a></span>predict_proba() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Classifier::predict_proba </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00124">124</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a4df367430eca598146b7b8531ba29358" name="a4df367430eca598146b7b8531ba29358"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4df367430eca598146b7b8531ba29358">&#9670;&#160;</a></span>predict_proba() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Classifier::predict_proba </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00117">117</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6c85b2fb9ce702d6b55c588b08ffa31a" name="a6c85b2fb9ce702d6b55c588b08ffa31a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6c85b2fb9ce702d6b55c588b08ffa31a">&#9670;&#160;</a></span>score() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">float bayesnet::Classifier::score </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00144">144</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="ae2a54c7b255663cf88c400daea9a66be" name="ae2a54c7b255663cf88c400daea9a66be"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae2a54c7b255663cf88c400daea9a66be">&#9670;&#160;</a></span>score() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">float bayesnet::Classifier::score </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00139">139</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a363db4d3edc674f6c65446f99cb9fa2e" name="a363db4d3edc674f6c65446f99cb9fa2e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a363db4d3edc674f6c65446f99cb9fa2e">&#9670;&#160;</a></span>setHyperparameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Classifier::setHyperparameters </td>
+          <td>(</td>
+          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00188">188</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a35fdde36bf85a67827a17a076c7334b4" name="a35fdde36bf85a67827a17a076c7334b4"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a35fdde36bf85a67827a17a076c7334b4">&#9670;&#160;</a></span>show()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Classifier::show </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00151">151</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a3d520dfbe0f189f2a2fa73fcb11fc533" name="a3d520dfbe0f189f2a2fa73fcb11fc533"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3d520dfbe0f189f2a2fa73fcb11fc533">&#9670;&#160;</a></span>topological_order()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Classifier::topological_order </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00180">180</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<a id="a225466de262d98d5c12e176bb1e51823" name="a225466de262d98d5c12e176bb1e51823"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a225466de262d98d5c12e176bb1e51823">&#9670;&#160;</a></span>trainModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Classifier::trainModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00044">44</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a id="a9800be045e73f73ef3bef7c9cdc80bb1" name="a9800be045e73f73ef3bef7c9cdc80bb1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9800be045e73f73ef3bef7c9cdc80bb1">&#9670;&#160;</a></span>className</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Classifier::className</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00047">47</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a5d9c9d1bd115ead98bb0ddaf2df5d9a6" name="a5d9c9d1bd115ead98bb0ddaf2df5d9a6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">&#9670;&#160;</a></span>dataset</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Classifier::dataset</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00049">49</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="abbff645d99c607cae1a4a843381b8db1" name="abbff645d99c607cae1a4a843381b8db1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#abbff645d99c607cae1a4a843381b8db1">&#9670;&#160;</a></span>features</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt;std::string&gt; bayesnet::Classifier::features</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00046">46</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="aea401da2c395732dcde94e565b53a485" name="aea401da2c395732dcde94e565b53a485"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aea401da2c395732dcde94e565b53a485">&#9670;&#160;</a></span>fitted</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Classifier::fitted</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00042">42</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a0604b45141b3d8b541ca8aac03293232" name="a0604b45141b3d8b541ca8aac03293232"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a0604b45141b3d8b541ca8aac03293232">&#9670;&#160;</a></span>m</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">unsigned int bayesnet::Classifier::m</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00043">43</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a80fde71d6dea24fd2d23a11aa5fb0d84" name="a80fde71d6dea24fd2d23a11aa5fb0d84"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a80fde71d6dea24fd2d23a11aa5fb0d84">&#9670;&#160;</a></span>metrics</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">Metrics bayesnet::Classifier::metrics</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00045">45</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="aba373ae6dd67262e3d8cc8c113544897" name="aba373ae6dd67262e3d8cc8c113544897"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aba373ae6dd67262e3d8cc8c113544897">&#9670;&#160;</a></span>model</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_network.html">Network</a> bayesnet::Classifier::model</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00044">44</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="ab34ab485d73d3f76e63bd7e8ecbddee9" name="ab34ab485d73d3f76e63bd7e8ecbddee9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab34ab485d73d3f76e63bd7e8ecbddee9">&#9670;&#160;</a></span>n</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">unsigned int bayesnet::Classifier::n</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00043">43</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a8ae8101963f78aefb61093ae66ba1c7d" name="a8ae8101963f78aefb61093ae66ba1c7d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8ae8101963f78aefb61093ae66ba1c7d">&#9670;&#160;</a></span>notes</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt;std::string&gt; bayesnet::Classifier::notes</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00051">51</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a725b62e1d3e4a856265613820efff77f" name="a725b62e1d3e4a856265613820efff77f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a725b62e1d3e4a856265613820efff77f">&#9670;&#160;</a></span>states</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::map&lt;std::string, std::vector&lt;int&gt; &gt; bayesnet::Classifier::states</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00048">48</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<a id="a1fdceba49bf2398b6a4959ddadea177b" name="a1fdceba49bf2398b6a4959ddadea177b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1fdceba49bf2398b6a4959ddadea177b">&#9670;&#160;</a></span>status</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">status_t bayesnet::Classifier::status = NORMAL</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00050">50</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_classifier_8h_source.html">Classifier.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_classifier_8cc_source.html">Classifier.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_classifier__coll__graph.map b/docs/manual/classbayesnet_1_1_classifier__coll__graph.map
new file mode 100644
index 0000000..faddef8
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_classifier__coll__graph.map
@@ -0,0 +1,7 @@
+<map id="bayesnet::Classifier" name="bayesnet::Classifier">
+<area shape="rect" id="Node000001" title=" " alt="" coords="107,94,244,120"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge2_Node000001_Node000003" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_classifier__coll__graph.md5 b/docs/manual/classbayesnet_1_1_classifier__coll__graph.md5
new file mode 100644
index 0000000..fe2a7df
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_classifier__coll__graph.md5
@@ -0,0 +1 @@
+11b68cf05c82a53d413b124afb143844
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_classifier__coll__graph.png b/docs/manual/classbayesnet_1_1_classifier__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..ff1955ab8f956aa7d4a9e20452d9414bc72beed6
GIT binary patch
literal 8752
zcmaKS1yog0*X^Msq>(h>l8SV9UP@9*O6t<7bc2+1ipZ62q(zXBF6q92G)RMhqzL$L
zzW=>9{_)0mZ!pHW#Nq6{*P46HwdXvM8fppzcr<tr1Q94H!ZjfXO%;6ak8=lHnXkDQ
zz{eePWd%6&@AfOZxhNTe=pZGyw6<6J{(`rW_WBL>;Rx^DQsRhUJfwVNST6drX(l??
zH~pH)rTQ=3>7FXHS0X7at!6#`>T^slxI7`7s3?@d3yCr&N8@jJQE5m;^__m8YIyL^
z&5Z`LhLtHX)%%0Lr#q)RgK6Hwo8B8~mDa<;>1b4l81A0`btzjX_LRuhEftTjNnq;W
z(xsG%K(x2FZ^w>#7#SJqA-)V4FsG@U`D$p4ww6j1)*mau`4n-EWGA}K2gTqgFQB>m
zd5)QX%UJ1upqctj_5NZ-rUVBE(})rwtfJ%NolhLaet&0p<?ilyvR}2q&d*OiJ3H$s
z&QT*p(L-flU2ntF^MU&Rb^X;~W8C6L?YcSa7{SIK&ZzW(-(I)&pTyN+Cv(GtJCKX3
z>(Q^K1A0bA%r|e|e30-L86O|V-@S{6$7PRVd-wjmK>wMmi_3q0NKM6n0{-p`!sX@Z
zSy}OV<7s=x3zY9$HVvs7rvHVwe9s)p3~F~OdRzb9_+A~#9@h`@^YYe=Eq?UnK&GXo
z&3v)dlC`LQ?Ck7ZJhdYt{vwId?{w<L_n{%VCXannd;91b>k)b(q57V_$plR;t+Cd?
zzy}h3RCx;VJu}saqpW{d*o%vcLcV8gkW}8-a%p7?&%N4kU1Q_8{Cq~mBuog0h)BWQ
zoZjbbFETy-LAqpM%k#Rq`7hlKM370~HGiRcRva0Nnzrv%s!2e5dkFS@%a0rV0|T8=
z<WFe|_U~N#80+ap+{S)-ePbgyV$g|KQgZ2VrR-S}qlJ|fjemx5r9wbJK*rqQz<{ir
zT$ui>HY+&=r*RCE@_RZE5=3uYcR0cQUp|@DEz_vCNSBtgANE^It&*#2Yeze!mF63R
zX&R+dhsVdAhR)5FJkI_ulV64x79J|ZJ$O@I&JNLui$ByVRFPh4@jsf>QlGjYdRu)?
z0`>RzYv}4)@%Xw<qc(0B;>Ch(CkmyDCZ;au!+%&Y(aRVZAjh0FEiEl$>pCGmjj_pX
zHxP@rA3xqt&&c5R*weG&qk*JURPcRHcd$4)IqMr5s3m6BdgB$~aCohNi07{u+Q2Ik
zC?P#PX0h2fPdSz2)$7;N78dzttLz3}aKwF1f>Ki{=NA?d6B3|h)HIWVf&!aK%Y%oa
z9--0Ecf$!EMs;+^Bs-q%P7~?t>w9gaSsxAwE<upQzbjY#`vQXr2gB<~n_2_0!#0d?
zON77R6t<SImX_A*i$gOuqk3W<{nM{b1Mk^Ci2HiPHtc-toM|k5QQ6Vghf5QC2SBsl
zZJU&yp8jw>)x`XGV~9$^&#T<OA>dlX!NH;G^_qNrQ<LCqPHZ?zck|{gZ9v3*L8lL5
z_q3)R<7oKt4qE?7K-u~En1qCcdR3-xaxyAjHmz=r<v~HszULi7Lj-7OXs=vcItJ5t
zbEbC>km`|<kyD=m&^zYl?o(4!yL%fBkx^1o7V4IkRFIOA;y__<-)gC;5i&6{YMlRC
zc*4Vz6cOR)?{7O-=g6o;YH4AS5E6pH#Kbgqwm(<m|MyJ$`EzMFoSU2b=hl{DK|z7G
zwl+LN)U)t>(KkLSI{FDad#umNmNZy%AqakAO%3n*=BAdM9G3s@J{CTkQ9641Mi2tD
z?5ZlRaT~sOA3i8LIXQjtKDJ7BBqed*nT*WM%Okjsii<1cY`Mtou`JhBhHS?3mA;s^
zqay{KABi6i^8Vb|khdPm<p0*Ax1@U7u00IWm!QJT8<WPpy}gYY<h1xr|KNc;^=57^
zi1qK^zjLz!E+Zo%Q00aS@e-Fd<^CmuLSBcax1)eMAu=RbYoHqItwjJnK-S&+$0;@?
zND^go=)f<YKYwoF?5y5;eRiLOL^V?^t)sKk-v8iWe#1J;UtabtArpOW2sTktM#e)d
zOiW^uvC7t)XKHF{`BQdJ#Kkil935>(GR5KWcZrG80Dsw)EtfkLf8M31t9W>Lz~Lun
zbIw}e25@h)+JSumC~=7f<#Bdja=q94$vY7MBzb5UcM^;%i;g!(k{OlWrKHH&)gndQ
zwxkTdIu(qMYr43(@!=c6;h3svJYf+Lbq=#K92^{O#~Z33!uex1HtoS!d@er~8@-O`
z!Scp7vjWwoD@|CGl8Vd9Vj^zRg;Jd9Nya{KBepU;7rAFQGMvpFS)(_OM<mt3m_=Wg
z0zMl1Y%{sIyBARNS`m|^?KPE1eCTg*-_`wGQ^QcMYtLgcm8-vW8}c7fg(WT8R$_h^
zuQGbRX}Yo@9c_P+UF-8jM##rMQdJi}y+@+MiQI5Fo^NoqaCB4!Ai76QtpsW&v%S4N
zD;ryWfpV&*o*oqmiT_bI<s?A1ojwJdo|Lq-wC7OK<fJwjGf&uc;})4OTLYShuS+e;
zYy`efA9K8H%vOkh6mCgNOKV|mEz6v|V)E~jveEM(E+`0Md)au;rQrc&ia>;HX8IC}
zdh7+M6?K9wbl7p16M`y?8qj0qLnQn!vtLviZ%vg_3ON42gke7NJCyeOyZ?2j#a|Ru
zj+M2w5U>$+2DDDC?$*`S6&DwC&06`(!Qsnm@sd4BOv;D*Uzg}%Ftn$-Wm59;;e9P1
zcS1_ijg5^TKY7yL`tSOn>GRb=;J?n*?&t#%58eL`+oa{--;-^G?nl5v8GloB%k<s=
zY*7=kYx7ut1a$Gr)wMH{jD?t%HXh)P;`;JbRz?Qh9DyLAp}|{5>Ck|!KV>}E?CW`T
z)Jq$_{^_^`6pFv+2XBdUrPW2Kn+Fnwo#yM&%60D+XyQUb{+E1>?z`bXe_Gt~AU8LO
zgoFeHsjI7Z?izcoV1<T-na$U~uBxr&pV#l3nj+ty``TM;KaC&ax7I^&kCGCs^`<QW
zCd*~kfeB)bINh1@T2FbwWjFa)wn-=cT!(^0%TeH6Kdvu;v4y22_5Ob_v%Rx}hmDQB
zH}{nYEU&z7A0#`stZc7B$#zGaD}_N)vK95ZV!(^<?1Q0!Vb<SAj~-oY<;8O$dho?A
zxAJTNqcqo1)6hhH_&}8|>Pd)!P1r@IF7{?-M(=^J3+67W90PLO8bt$4RC3nXe^e2f
zl0qK$Ksb2lqaXs%78SQSCfGW!M*N+s$fQ%SLr2nuLqGvD?+C?JR8|fF1?$_lZx95S
zyd&l53w&oQQ&T!nn{T@U6(nEZVR$?hH@cwnVizbT((rnZeHs~A*=ol*0Y)Y!vy-i{
z?|@Q!;~s*n*qxL)=oJ3IgbFlmg=`3++eYJjDbU%C8UhGTOiX+e6N7&nh+F<DQp?~1
z6)E|@31xqO|7g}a%WS<rWv0QE<%<D3D=X_QJ(QWWKB}=AYAjtk9eTd>TEKeHFr-f8
zyc7vK9x*Yo!wGfCDc_GdIXQZ@cH~#r*JhTMVP>7-W($q(URybD@kJTbCH^o5T%W$!
zo2|iaE9X7*J^$4mic4lUSfKHE`RC8j?TMnbo4*IWfI{pamim;8a1Z@GXw3qP>>C=2
zwcw#vMe;?0*(jDyX@bzW@69BF{iO!_k$ljNqyY+c5PB@?`O64hiju>q81)Opsc&&H
zv(aP!*|UNqX7x;!_4W1qiEW$1<#vDzxtp7tpWE9?_NX#gu4MeK_M=T0JyPg3{ZJZj
zuf<0=+_~is^X!iw<L}uGBeqc0Nq`k+M%AX)`w>W;f4ieO7-6BIqutSz1S8z2^Dkfc
z^8Ab0ix`!@*o@JCuB~Ny`t<4Nx;o|;FJAnpM!a1))rq%72`aqoX{bXW3ol(Z`#v?=
zIrZ|*{g`L@6rfTwp2lmfn4>`zXNzo7jg^;0p-?AaKar6<*Vm`ModyVoiKA#%;EnK;
zdw9Q3P8dN4ffR5=t}s5I`lIcwQlkkvx4w0kA5EUl<)EI+i;`&T`1tt5lKtA5DxH#e
z0B9I6D+vj^VO>mcNQk{d<!`oS!0g8Rua%OvKzZOS$j_(xQSubwNSc`QosSXWUs+C6
z=t4@8^8Wqp^tOJl54h8WT>h+2eJxPLxnZLwSHqh5SM@7^xbt{lGRqSdmLeEE%@m{D
z!~=lTe9+E~$r6dfn>-JkPWG!&ISmx5u7~r^)HJ7i-u^~S9t6BrgKfK&t#L(J0Y5ak
zsq9_E&JFAC2>Tk-f~w&8vUWtzu+6pAa?P-l`~PavV;)VYsH!^lKZxPK54e~AW|80C
z@RPBh$<#|ZE#~BFHMpqPxSm@0WP3sM_dYW8jiu0Pf`mScRzdS)(HMU{gHNBAe#Skc
zWK9uOG*Gs-wT;-SxGz5c*JQ8ejvznM3he_krbJ@XaufeeFpDVfoL#FHT5uP7!Ygm#
zZqJB<<1Z9Od>?aC&l56?BbU&=ylr!rzNpV8zMtCxU%T2Ove!XfGK&+!=p!HFK%pu=
zJgbw?vD5SJnAO}_m6BZBM?vaRki}?-2DDtmgZpouhSgyDT)|@mhY@wA?rnhM6AwuS
zxzVLP2o8u<JlkiXyU<X_SONdrTv+I_zOIP<%48jZJ}NEs6wRLL;d{U1e6AZ=?lM(9
zoFw<(ssWmJ{NULV=rTl7gb+HN(&&t>(v9TQI6f~1<&c$w9ey(>!#8Em%qp_cV7kOM
zJM@+rAx*xGND>sj<GETbYZYsj6pw8V-PlX|1mY<U*gMFmC3A1i9v13-eu7|rJ?7A3
zEFpES<daV}I{aPhi;NUB!>pwD4F)%|>Gvz!cKj`jFe#i2$M~SmC=z9uwbCTn%g6}Z
z`V(Q%x^X1?vmD1{elez;ngb8=BS1q~kEFmgh*v6QmL)&g{1EWwbhqn|DYGS3EIShA
zZ#BvpfDVZgUXgv3XyvC+Aw8M%&rJ2?^Bxrlinih{O0Bww>CdjNB_kE2F(ytTh-9R)
z*F+D-jJ%6!$HJJlJyH%?FiPM=<CQutR{1RF&JH@_lg~oB$eB4z%oE7t9)($dN0{H$
zr`jmRv$-d99f}EzrYA(S5mMCD=j49V`71w&Igso@#_=Q4@{)``XnQ+$VVij!m<Re_
zTuAx?M5R|N;dBgI!I+0D9T%oAwXE%**4xxUOJYxWaP{tLFU{o}`rh|xAk5;xr?`UI
zGB}+4wvoCzM+vv>q$CI3S6dfYGGNx9Ym=)9qkE(7ob{x&R%P_=vI#`E^;0N2s_+d(
zOfT{~z@LXD-hva33s&ST-DsA{loHW$UX}I%UUay_Iv9}nzCzRz)3PBf8zURLs<f29
zXHJPqK?*&HiX**zjya3>EVyd~@=4A%<1D%eP~!1PRGhyVhdCJtQ&iNr4Wr_st?uTI
zA|m0$#1|zW37Elb8!dBkzZDa&NeQ7Zr#|7nXS$tUw(_6cGEe`*Z!=_04p&wF{f`_f
zWcm|`EzL>N$4Gk8_wHhu=dOa|DVP(Ty-c?yn##6a7_LsdnS5AeR0q8n_HsfDF<DFe
zqgqoHR2x2))+hr{8Xw!$WRR=QbZh$FS8^WP;BwuDeog8*(wpdPU5hJ^&n|9V9+0$5
zN3na(YJCB3weMH+wm!9I8LPfYN|kELza^cw#T*|}4(V=qtX!eBy;AB(zAxJiQ?@oQ
z;|JRYPlr7{_;9k3n8bNoC8ieaUBi-8^+e77ZX!5UdsuRHcqdD+K?(njjG;!*5#}EA
zo2(*vt*QcEZWPU{F^BHlj?k83VovmnR49NjKBt#GBa-^-=MnwQSZTZa%A2NzU`wpu
z-c&`*iQB<JzqiscD^~t@p!y82;4HghxyADRaEHoT?(7|S7_PrG$<3WN8St6BAL^ZK
z8IjkvmRU8!+D;EKvO|n=Ow6~%2KhLUj&SV{qm&e;JeVFbrstD3J{{v}Gv&c0+IE4k
zHXT@Ma1k?Mz4^AvAfJTqVo%JHnu~&h!#(s7G%u?K#n)})X+J&@Tqld}U_Qirl{NY#
zm|^&=*=}2<%)^LpF8gRsDIkkMfcWr5TAQoALR1!eMoD?YOD+VOkbq@-OniLS<Iu-M
z`1td-d&1a+59-x(H2h2*9mNAjv!x4E6HA#^DmNW9ZYOxpoE2w|v4c<tU)*t9#WB`+
z)B^IrYY4C*J1`@J@%THVr>UUSaJXx}eVcDAk*Q?_!-K{(=fDSD3(b#+BVCn4Z1((a
zn){!&l1L2Io2$<T<+=|<JqGJsyg|=}0w=yRPl@;lxP!yqwN94dREbv6o{B?fWJEp1
zBuSvS^KJy(3tyL%D+OmwFf?M}ecU9fyQjyefBm;Mln8C0SFz+)h7tQf&gfO7GFQA@
zT!#cuM0B*TCUdf5SNW2N=bfsZp4j`&VPRq0Ypbi7iG3EOP(7rGo<Okd2Q;Vo&bLH=
zpCx_4ZNq^2!-xlHefO%*S65dXzpwvxqjv!(;$i1Y5}U;flhisj90NhpN;ExA%-oK=
zZE9r&a|p7B{3Eu^U|mmTBD|r?$0_~4Aeo3Q_gaGmn1BH4C3CVI$=GCecD5Q`ST1%@
z(aV=Fi)g{}b(xd>)!`<#wLjuyA_CF9XrM_ucTuIJfIEi>&?AaGz8BR3=i5G9=_H}p
zeSNoGE*VW`^fK`S;Tv~MhZo(WHSgoPAXwL5pri@&q&W~l#AE$Hv01{w!xMp|o+kJC
zu-=Qpg+7B$An;BQOg7vI`%pZH8%QAW7~hEq32!Ve4p*>%aPSdI$AW<Vh7UcZzigeK
zH+pVll<xc29l<_2MG+Rw+$4u%Ac<Z{Rz(p?TmQ-+Q?q0c6M{J{yfR42kJiy8Bk4nP
zW634+{B|M;WrPuTqCIFvEJV(620&7xu&zqb=WLdjmyck0MMlJ2?>uQzHQR>Ds7Zna
zh?{ew(B4$}?*v@#h7(s0j8_|c3Op0v=Sbc4#4$C1e_qmeHOb1#a^4Z#dpe@<69*Q)
zSY1IIWY3dU77_8N1@STvvV(OI(D&cP$KPWPrGtcgPKry_ikfyA$x7qS`SjhtwtN~P
z4%LyNWA&3%{o<DY-llwnnyA5umZ(jM^xcBqTq2__XOP6v(UCevTQ#Eh2Zom>PPHmd
zHFg_=UG1eXJ*i!-2u{$!e(DW+o3MmL04YgiXlSUDNQM(FiK<OmSveM^s)r!VX5sN5
z;~R3uDt&U*5knD8<<DkqeHHnmC1_iUqiYjMSO09v9I>#mv*>fZA&;KkUXxG7#r4nN
zV@ZsTK6}-@YNTW6ur8vvgb(|PWy)A`576iUjz1C0Foo*5Z;j^gWvF>ZMg;87RIf?W
zJhiuPPkq3>77@yN=O6a6JL$z-c%pe}0RzA1{X6M<pC$&TAl5G~*J~4G*j57F9#eL;
z$;7KL@QC$Dmdx+vjlTe>9!3^x>FS~aJ32Z}bf&wzx@HXZ^~Le&c!h+7nxA~Gb2H*g
zv;A7Jc9j$)h-vn_k+`~hJP}zs6;RZOOZpn(W88`aEr;;?;Vzm-f#TMMxYE1wk%F*8
zYFt0EmMr5cxBLwonBpB$Us!R(U1kJ6MEppVwj@`nD5{W>J)=O_VE5z6*6%kgMr;`&
z+^Cr1T-$0^q?=aWHj}coSxhyBG`TG8r`y|eTJ=TlB4TQBwDN2dS&=7N=MxtH`xaH&
z;#?&pjcTRdf8Vn5*EWY0nSV&-Gc~S{?C|*qudHoRssTgj6Pmbm{pthDAa3)cFVomB
znr6!=;x0cEol@rPn}j-A0uJeyroP3l=Jx%Xy?nl^1s%hx#Ke$=h9c?+y@RYRCdDrF
zdV^1samd%(IWB;A-nR#mbkW4HA~(=4Fxz5I^SWG=H*Fv9UXwMSB(V{;Ia@w+{2oIV
zPhlWJR`Y-ZSthNzpza#lR>a8V+NoGQIPU#x3Xpy?W~5L;J^k0GxX&Lx)U*Kg{&T&}
z=R3Cx4>?Su8#JJ#Z>e+3yliZK>rK^$<=CLQb)xMY3z%zQ4S_6cFQ<LdLfrO%RPR$%
zVcPp)EoapFH15T)d=bt{a37Vu8;F<T*UGh@%5GGMG7fF-lR{RcVr|xj;s1#$YF~U9
z3(yx8g1rOK(E6DPVKZWzEruIKUwk&fr^Bc8>H4Iiphmm)Q=rRIivO^Pp$N7;^~IjB
zJ<qOemmTa750fHHK`X!D7;5`;(|5xoZ5O5kjt)P|{(x{ICmR#Z3D72R^opYj&)L!}
zYnPswP!lr*kv)4$FX7O(6UymiO_38-_zEgjG93#~Tn#B)yfIi}l%zk3CU(<Y(G#+I
z=J!fp%i5Hkj8fH#TkAae8BQ76;UAEu{lXu=Zf`{=goG;G*d7dEC8vc%GuJ%U!B@pH
zV@DRhs@P8D!Qru$RAhWdE*!JoM9%Gc#I0)ed{-fgfH(r;QXp5&61cpxeu)OHrn8py
zzG}BPZTCg8cYU#)SWIHv=6pXqrdRyJ#&hRv3xnr0Np|%8&V6@85^(|v|Be8g&Hj(t
zHTH}gel0x_sPw*4(v7*J<24YKGYazf;>rRs1l6E@haO1az1jr*wws6zpPxx$Pmf#;
zR&`BHNKsKy0iw!^m6J0*+KOx$fsEm{y2J7Ry|(-;Chs2}?pf)4%k4BTq^w};(%sz+
zL`OOxIBGn9j^^p<83U9AAk;xYK*PH|jw5<v-e{IM9PZom(cJ0+;M^7_lOyHi!~vw*
z<&_mQYinzxW*_p-a02_o{m+G+zQ}S7Gc#Bmt)$a7)w#n;M_B!<6`72z!0StQzl)W(
z^+52uJll`Hx&FI$dAfVC972?knMnve=HygxaA5ml;FxED+I9oF2gbrpNS^9P0T??w
z0nlSdZTP+q4m!NM9Yn4s1)QN}ZEbC1cY(r7K<niC?%lh|3lVx5GqaqrX{Dslq@*N~
zulhzt_!(+1HjS42&mZ1OOS3iB3|w5qV78rLbz|j*f^a#xG{5rdYObjwBuZFV*lajm
zIJ|iV99zvnLvwg|7!)5*#H@;Rdm-A>Lk8W>kK9XF^6K<k%J}Xn@LkB%GR1H+)ZPYM
zUz+v5ds0<bCvRuR8gQ|K4UB>B7Ce}kn5I`3M|#aZ{Cj(QhpW+?==C~3H-<jG1=3l^
z^fcvk#mi36Wh7=~5EN)eW@ppIJQAmo!MVCR9s#WM_}Q~(x9VU-1dbR8)_0IUpwS)e
z)r^<}ar`kmdstBs%c9pB!OYAIm80v?YWHJS){g#^r`)#VjQBKsIIUN|?*hl?Xyc<Z
zx>W7@?sVlEc!1aWf+q}qYRFow&1zv`F)5_h(}Nx~CXr^4nw%U0q>D8m+jM`n97xE>
zhy{muAcD~XymlU~^>W*z%1!tLQ0KwH=--ZqML+P_l6vgTprt&+a&|tDPh%PMyX~P@
zSIu!?hucM2^t`-eU{nQQkpQ(d7RcVXz;+7H%A&=?!#f1J4g(z>1QeH<M)#+gfj8dY
z*Ij_U^oX3Cd~2eJ2zW@<et%r>ABx;#P>2ha&uf>wIU@Svy!5Eq=TrtDM&jlIp{K9E
zvfLhWt4nPRXWU&zE&c);-eDh079ALTAeFNhXcVKBCX#uM^78WLAjKcVyg%od0%zmJ
z(+HhZUS3{Us8lM)%U?8i0icCMr?1GQdU`rQ2V#>2gt6EP2Kvs->!p7;p5K70Kqct(
z;1<JR8M)uCP_Zd0vDR4<{@D}T3BbZhc@~x_?kh0gWqKadn)%fn27^_7{rVQ935Z{b
zNF*M;jF*?t)zww@n9VC7Tt2>s2OO}D-d=2<=0}?&S=bOG3ri;e#<K#_BK53rpa)l(
zbxOg(LwbYIFcOlI(CKA>djS;0TWy$xL4LXX>*A;PmU}bR0DV2z=SxIDGX>8?I@B-&
znfBJui5(EhAbeKvyP{b|OC>g}L}IF-wYEfgsW*li<2Gx;X5BmS=X{1hr(pqFWqZ}$
z%E}w9A~k88Hxotb3=$HLWN^H^yrh_$PMwQ1OF}{Rl9H2;4m*h$n3%9gNJyX{U<<xW
zO+}35%1zZx6ev^HH#VC8{@E8UUNM{@iU2YsaO+xEyyN2H!vDQsO&Q&GW1izn1wI;3
z?q2=*Z7Fs#Dm#S&T_)_w6I>9qsYinR6or@CsW+%X4u4Ra1U;$r$iON6894=oOy#sJ
z$E|7l@7nVg47Z!;*FqC_;Ef-cCIl^dZ;mY8yNiR<hUB-$_x%8rZU_P*@66mBqA!Ul
zytx7RFkrfQ+1U`0#0A|Qe5xSun_ImWI2dvVi_HZ4x(gU(V%uh)R9%4wgexE*AmsUL
z{-s>aZ-+k_zBz?G9oku7bK31YJJNhUD6>79KGp?pW*68<(D=keVp38tFiGeH1u224
zvNc&k2GM~~ff5rggQ~Gsf1L6R)E*ceUEATCfS-v98k(BH$t>!@5eccOZ!HJj!+`z`
z3Y=cGITk2!E6dA4z&)JaF8fv@fF{L}npd_rl6BDFvL0o&kTC#&dJ9V6g@R$xn~jM;
zK?0?E1^96M#`kUQ*i=qSTCVwv4gjx;59#)IcVhu1wCxQBwuZKLDEKh{o&Y13q2u5n
zbZ)&CC@U)iULuhx=pQeR(rJkT!0Q6Dx9<Y<(ypwpV*!ldKM*1Y=Pxf{G862BJ`;_z
z`Ggd>Ji#xUJaVe4h=KACU?&8$S>T;<1L+lPwLBpHk4XG=DDPcWsl|nW+dEVLn!!!v
zAv!wxtFt}*bP0bNj63*HP}6(R&PIWB0BLzqqYKzoIhrN-zDYW#`*YJ<dfF1YT3J5l
zzg||}plT2N)CV_W1ApZLmnkB`#ls_Dc>W{t=H@1VM`wF`&X2W*h6Z36$gO8AA0HpT
z223E0gH~%03kZWo-3dT|0h9;;%Bf*RGLp}qKW9(bt*oq=p>U}Yj_6!Q<67Qj)f_<W
z27dx|7=w~B)u4vz{#{7^uN&uedB673Pzp#GFc-~-ko;E-PVjF<v;82;Qx{(AS>(F@
z#!5=KJiNRll$6%>x<_g$)@=ujp<I4L{HfIfXxS2y2RYiT_VYD-g@x6{7G>(^<4d1Z
zPBZw`{Zx{vf3B~a0oN0UkT5(xKE7a$3&nPn$;=B_sVx}mF5AP9YOC0DK5E1uzR~}<
z`l-}l^^J@uXlf=EAh=Ms0tC#0XErs7F|FkZ<NtWQ0=#IUNB)oK6~R#KkhI7gcm)Jf
Ml2e0M$e0HI7ew8(9{>OV

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.map b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.map
new file mode 100644
index 0000000..7c975a0
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.map
@@ -0,0 +1,33 @@
+<map id="bayesnet::Classifier" name="bayesnet::Classifier">
+<area shape="rect" id="Node000001" title=" " alt="" coords="221,252,358,278"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
+<area shape="poly" id="edge2_Node000001_Node000003" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
+<area shape="rect" id="Node000010" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
+<area shape="poly" id="edge9_Node000001_Node000010" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
+<area shape="rect" id="Node000012" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
+<area shape="poly" id="edge11_Node000001_Node000012" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
+<area shape="rect" id="Node000014" href="$classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
+<area shape="poly" id="edge13_Node000001_Node000014" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
+<area shape="rect" id="Node000015" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
+<area shape="poly" id="edge14_Node000001_Node000015" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,252,173,278"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
+<area shape="poly" id="edge5_Node000003_Node000006" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
+<area shape="rect" id="Node000007" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
+<area shape="poly" id="edge6_Node000003_Node000007" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
+<area shape="rect" id="Node000008" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
+<area shape="poly" id="edge7_Node000007_Node000008" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
+<area shape="rect" id="Node000009" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
+<area shape="poly" id="edge8_Node000007_Node000009" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
+<area shape="rect" id="Node000011" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
+<area shape="poly" id="edge10_Node000010_Node000011" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
+<area shape="rect" id="Node000013" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
+<area shape="poly" id="edge12_Node000012_Node000013" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
+<area shape="rect" id="Node000016" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
+<area shape="poly" id="edge15_Node000015_Node000016" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5
new file mode 100644
index 0000000..ffe3469
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5
@@ -0,0 +1 @@
+e8eb745ffa2d265244d915fc0e5f0ee0
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.png b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..410aacc6728d0e0dadac8675472cd8cef18f9a8a
GIT binary patch
literal 43117
zcmc$`2RPS%+c*BPm5~(^C1meJcIAtby~!?=nJrtgLbCTJdy~Dgva@$ap^PFKC3?=U
zuIu{W|L4A+`+n}{IG*Ei9mn-^i0@~e@ALgy=O<WMQI_Z|%~=FNi0<A&sUiqgIf7t#
z;p4(j)G<>?;Xk-0_heDXAN2pyn{uNNgdVwzx~1-#ygBc#tzr5>X!~1}aUYw?+?8dW
za;l3IDKZNb4r5QSciu<)elN)Pc@!la&ZitMPV;zjHrq5mMOl4J;QHv~7ZstE_7X=L
z*|91sCN=fvd>A+}VYK@nS`N-RvYfroYh-umRbr|CQDpw8VZuz|ckN_7)lJlY@-<e=
zR*XeLN=jNy!5o!e8HD{f#cw@Tbv=ocQRbm#ieKK<ClewF{JYA%D-5^f@{4uX((73m
z$T6%&MetPawKBv81qJ2#5?z+i+rU>3Z2tZIUNIv{HLJ+qPlZ1mrwGwzIQ_EV*X|&L
zpTLJjwVnPU{B0s3W%=Lp8+%w5boKNXGnxHLr>?-a7TJTz!hYG=Oq@Cus14S{8+Oas
zkx@~6ro9w|)Vzx&dv$enH|#&*i;0Qx8nq&|4Gma`f!9yd_yMyc=M+&F8D(XXXV0Fo
zZ~d9EEWIKr+0r|tC@+tiePg|`{U|7}q>SbC^do-#TuUoAZpSTt@Y@0d1A{j~zWRgh
z&+jYR<t8{EypFaSCW;N3X!IMLJKy>f@Hua4|Ja(Pnx39UeBj(3K780ZJ$*rr&Et4)
z5}%m3Yp%}0xN>^aIy*aiaeJwqH)+5{fx-R{p8V-`j?rf4<VeTMGw0`H;SmRghld9R
z={31&oFyPAoa2_1G_(@DA2!>Rlb(LFNOMEKuUNBCuhF%9=9rT*go1)%tagByP9$jf
zQIW=*<z<tdA3vfG4_)nCT;et+OJ^q&2F&c7onxEa4`yn%CQH*AzxQ%5FqrUCKb)_3
zikT60{QT;(qsVlHX^3Y+T3Q;@)vM#|S{m}qQRtI;bi6A)ruvVYLRzWK85A7s8y<eH
zv9WP`Oid{xFApDim6-VALz8>^!op<<2?^IFe<}o7T3U)1b}-8k^ziiD`I4K4iM+fd
z{zAg@SNenQm%P-3+GR$*O>1_;nbMz!v+#Z&9}nlNvC!Ulg52yZ9!O11bv>AOS=!nn
z@@w<SkP2L$skS7Z-CSsq<kqi$&XVei$;QTp_~hJ+W4Li+D)rmoQ)H_A0UjYP7A22C
zsAjS5bR|}61f%TY%8LK{_sWP*QqslSw{O3Sjn&+G3P+*;b?`0xoWx=Jz9Ht{>bvJC
zDPE2+F*D12-`!nl^~D-#a(B^zlMD(H`~Hrx!nBXFeA)^Mjj{NCO)R7A%Xe?AXS3n)
zt7>X8Gce@m=P!Tx!X{)h_X_TLNNH&)r(UgczgcCnq_=_FkIz@`-o0!8>&N4r@82We
zzP-)H!4cJRvR6t*LBYhpkgJqNiNGqjA}uW)nVQNCH?hL*qfDUni@AAnO97gd0ilH=
zX9E<|jT_pO+<L4G4A;#1Uo9>!S`4YFs6-t8{MpkR!y%o$o~lh6QCoXsXK$~1=m>s#
zxbx9;XSp-xwe{?q@k3EEV<k=%sRv4&=;g*J<bC2nO^8c)fghWkMe+IYqvr!=?W+Sx
z@Q=QYjbh0nPG`Bfx!=8e*IH}$(WqQ|Q#@+6#<u(U8S=&T^%rpE8AU~eyQ>3!L9Ir-
z^!)r}qRyK>L9JGT5BAo_-wh4P-oE`-zbWZnENA(-Y^c)bp`nC<)|ywDn6T~a?8XPp
zO-<V#@*A&@<s&|KqnP3QD=aK)C2#h>Erc(e?ALsrD8BewA!&763>O=_wWlY4q~iB)
zkB4Svnu+!f4s>s%P&3P)JJ9PVOuPFf-Efxdxg!rFBl<Ts^Jh~O1K|XhnhrkrDdtMG
zcpY!zBo-EOq<Z~&Y_-r#*VfiHRp-Eh{!Qdve?Lk^h4k0{*8MLIzkYo2GiY)%KK`|*
z{l@A785tP~35kz%2<1`_OInrfWV5IHQOo??oU*3oYT3XMx<3Tr<DR=jh?GrR?PrQh
zNL)gm9RG6aPq>EH;PS02Q#xdOvvTM*+e+EITCSq;VykaVtU{6?QF(d!K}=Lo)!&|%
zN7^?qApP{I@DDd}WDzR)^Gr1ddcEKfP|}Nw)A{=PB8a4<<dK)!Yx!F!6gIPbJR&3{
zM0i<(_NFxHOo_heLsQe~kmk8LJ?L}L8%V>&_o<l`5}(79gavK9zd5~cu7q(j_h>~%
zqV6YcahBjWSvk40=;iY6-JK(-?^xrHU189B0>>?+wY90Ce?IyC>8`80`$FZw$cU=d
zhsFy-;s<k{rVN=~el_IeP$$<-C_`|*HSQ84i%@Fl6^K6M?%Gg$UmwBA$qC{E4VU5C
zwNV3Y;){ZWB_$<6AtCLbdZM;E*YZ@dl$Diz;AY%Hy^4wPFDv7<ny$c+eM#E}pJlhw
zdmawW$jMnW!tuD^W1a%?eq(PRBOO^>Z1X!j{1{%CywKt;IhZCHJ~gHNV{>{`0#?t`
z(YKcFosZo+L*6Ik3!VpbvE2GEDk}ItefmVt!jd~;-HL;Q^RB1omb0^9^Uu|bgmfYl
zA3l7Dzh<tOvx(j~99H}F)gC{7T-*XJ623CcR=jYX*C&dTp8NX;Lt}<cnIQJGB047K
z?$f7rgck+n8=IPP+z-BzUAVvoPjz`?g9CN}28PI2ujr9a-Iu+K#=b%sceJ-l)jNJ+
zaBDJnt(3-{lapgouKn=ct1BY~8XOmRjeO9nxIm*2^(oFbMNUp`a|<OSBj@4K*e)oI
zf>p_4V`KAuSoU&o(7WG1cUP7IFTbgAIPy?ej}E<X?RD?&aG@4Ya7aj$&<9s3WbXRj
z#-tL89oM<u^QY7~ai&VMfym_KWVx-MKYwaW6C=WopOwQ}Sco@Iw;$Ais&&ZJtf{$q
zA9U2Ox?WH%a^I{5dV0!Rt~syt#_*eT1hLOHTz|XmPe8@aRWog652f*Qf7aIW`0Mog
z3`M@Hx7E|9Pm5<P*<nAw&M85D4?cMe+YwfG@5+3GOR2y@`2$%BO3Gz;`lnl{+eR__
z0s13TqE$c7Hyn7H7L_O<k7nO&c~;*=IkNoYBl@ARjla&-!6PE>3cHx=M9YvV(wT~e
z51D4nyu2h|zI@T`re`Ri+6?{|QjkV>ICOnp;4}#aKml;1XYtx8rXbo3yzG^?^M=7k
zb&onAC@<KU^z>A3I*QEWkWQz@#kmYw?^>m%N=}P7_mzuJT}OEf45*!7c;pl0n1=qP
z;%g+;6u%oT!RM<ml3G$2hS00B$zze=-+GNHsEhNhm_Y5I#3MLJ7x{}~XkLhOy4}Cj
z6-+!#@*H8s+z!T{C?)D#$cTQF5)qWg_xA*{eII50z$C#kqVd_s^vJ+wn=E-S$wK;~
zhM1gG!|(KhRIr|Uh1bq0yY}LCu=<lC_So9FMcS2Sp(3SD5)7HIeXvB)7d>97opm^a
zUHRht33h8b)(DEXJcPrU`K2;t@h;qwtAFoP0SlkIX)S9%#x}N(2U3U%%&yKFYq|bX
z1~vAu{4WF|_O~S$8k%s$J?nt|nXy$!r0tqk>Bmte2K9uApMcUt{$8IG{S50C#db1L
zJXWikPdHBe8*X*FagmFpDh_XFgVDF&%m4HI2$7;IWvdk;N1>X&jca>>nW5nF--q+H
zT|NstXi-wyn8C-JVEauWLFB^aj2Bgda4N|=&L-$5ts7r1>y@RZZG^>;zRiQED4sLv
zE5Inw+pt2RxG+w^WF}3}&)b(MIZnu1|6puqA=gR_+g~d&L~ES>&Y8b}6EAcBu2S?z
z>2d~|^PQFyAzBO!TYnK|!EO11A7#_qkrni3&q|iNUS+VL{R>U!&3+ktDZx5X!&WKC
zbPY4xkwcBS{{5r316nJex7jI}v2HM)9W6ENq@*l`?TFy?U>3ufVIzt@Kao_dSH;-Z
zN({QYISqn?Xjqz0Z?A6lw)IHwDEScP9c&|<va$I97tMftRqH5H(g?=WJCi4USDs?t
zUzQK!tSz#QQ8v<ZrnK~zUwwg-AOl0a(COVDGeKQ2&Blzy{LJ{Qdhl#;;q7thVh5<q
zft>{O8nM_n`x@i>=0)lx>Dejs^5uwVzIFH0U)U-~BkN2v4(IU0X~)ABL3-L}wvHl%
zI&_)M!y;6qr1O%0kFY7PaQ+<C#pU9&JeW7mwRK$2m?F+W6#_nF!}4j-Oj9CS?gnP?
zV?qR5#i9EY!zZ32Js<NTUv4{qwH9&B4<Yz)k2Zr-S9bJ^qnlqFVry$#oTV)OuCK3s
zr7vzzca7fS%;~*WsU)$E{u4G-PTPu*7M*YNhPCumcdb4pFc5F1#<tXnumG>Kv$NLY
zXT=0xkS_M$6U-LhO>i99*b(tzGx6&&`<SkPLJeH_`wSvYB*|S0FAZTG@*t8@ymniU
z_JSwspdWbsy?kaC5sfY#91g^lqb<qi*`yXcg45e`{NS`ND0C5KiDi-(`52X{YU8mq
zCX1=+kD%|)b=toN|EwT%_kOM_C+;?<kDuI<H%nk1qwX5q*nq#cf~NYj`h`H%#&fN7
zH}&GYO-xNPD;}p5N~8!o-~uMpu6P(cp(0?n+;N79h2=qSG#fRr7X1w#!{*R)lE2a2
zjg^xV1+b<o{Bk%T+L@ZCKUd<61(UXR{|%X`-uow+p$!fWh9+uFM|Yld{Cvs;2D<wd
z@H^D}E`5~cLEOfTFz4DImY&h*OLE5`KqUYCz9wijmF^U3$VE?&0N<N9;xcTe<<Kl@
zowaT8oU9+sReJC~{nk{y69>>HUZ-_+Kp4*h0+z?M46AM9qNCBc?uMwS6q|o(%LxrY
zt9VftZmTzjUe8rkRi7Mg8^;f<HZYUcwP3M8K{8~<GVWiq3!ml)9+qJX6YL$17w5mT
zA@8(QSlTS&u)nF3AN;@OKr@Z{w{H1r7f&?A-Y?dybKNniKGNZ&WMgH`vrD2AaU{ta
z)-JSy5<!FUot>TKuV1+*OASk_yx<bZXlXgGUcDL<Ydc@BfxJ68K9WXt81cTVciLdL
zcKH1M%J3IQG|oTb2dH&dPOd<ss~}n2U9<Vudf_$QKgp!k*r&ZSQ-%>;G<%0}tiLbZ
zd|Pcv9Z&n3*dpZ~0iYp1KECap9pAV(s#LdiHj4A-F%VTXwc!RA+ry)y_U>*xp2lrV
zgkDUH_L})%(O5ufDUZbQ4>hC}@au4{(q+fZDN<ZN3<65dvI9YG-70)>w;w(&Es`Qm
z>(Al7AbGXb)1#y0-<prO0eBemQuD%AuGio^V4QS(bkGg^_jU)l68+VyI7pe}7gcOL
zyxHA(;d2NYoVOXZE_a3u1K@CXMs9c<@)BPX3lduJAP1ZuvmX)^)C$-tA~{)aOPKE8
zaHLg3Y|`r@9?WQ7EI`#D`@2Y_=s7(_tE`)UiwAY4ef3~YPG1}k6u{=D6);~TsA8z=
zGn8Dq&wuW&eS|`h2F%KB&=>?P5nbc(L9Lt9l{+U#-=s<>8M(NK;E_>ZGb4QQ;sq~I
z>HcJ4a-QZx2B2bm9*0jHzl`8OUAeBMxIBRZ0ZRV>*sAMJC)LhD%OAQ^#0}i=G8MO8
zYflslnvDP6vh{Ai{O7RSVphy~lNv~9L}cW%SFcEro3NG~>kWS?e@({oaoU(b6Obo%
zc5P8g62V~?g-m9u9wY3jF-~@Nw}3Ykh?&D(?^tRNq=Od9C}RYKCnk35L(|2&x)|>{
z;H{*WE*bdQz6heBaYti~JJ*K3k;XmBYP1+%!b4I}+eg<k))Qh4T0ijrH~AKjRa|7M
z*;5n^_O-OMHfO2{OifMWg={aOu%SdEA|lX;8-;CFd7)6NRL09o0{F_N^<2fn9x_)~
zSEE)R4E(caZ_CI8v<nu(KRv6ht+iOItf(;JPe89@q&53)6ny_GDhdm!b=zYHl8u+6
z9<#MjYnL^$TcU9WAKxb`N-f6}P$ST!B7u3GF*22pZKvpKq$5<Ezeqcf2}w!cPSe*l
zHeJRy9Tw4gFbqKN$LHa8iObZ~K|q#o=Z+drmgu{FYdT0D{qnxlP|{sx6&Pf0nimZa
zO4%n*c%8q_1;cM*BK+5`si><zZ}vRW{FRIr3$#iNv|GHyW4Z1JJb#W2Uq+x9xPI?p
z*_y4kUHEWf3oHn*xUki(m(^4m2E(&9KRhhNN-(ME5rB2sp;U3ZFC$l@qoZ5L$M;H(
zTMm~Afbe!KnWO0~JlUcuD|p~RVPQ?B{iw0+zq^oMqD|zRdj7@&YzJi1|NIrpuDo5{
zH47`Cohk+f#7ze0kQ-1`_0C%_vSh<e+MeOuQBsnHx<XoqhK8CKif3Q2{D%b1o!`O1
z0eZLH&a$-F{?vnbfyZRuzkh!PO?0}_oKZkv?8Dcsn&S^{FDF!z4j5q(hfwjzJbak#
z3H9Dr2AV)ecQ?8lKXG#E{I$2iXE{+McXaY&ROyDxSK1E%sV!!CxVSojFYL@Y49#mv
z0E%%H<pWfBJs$R<HN60GIg%@_q1Q7kI0>c-pmjFx4vHc^AG^armZ3wR4=}28JUl$m
zt*{XEbLsDwcQ+Qcn&PdkuV>)qCXQlJdP9|#B@=f0)-4P{>ltj)Tbi1bZ{NNxgVsqa
zY>y3})g8m3wYaqvR#sN#{vp=AR1o84>EtY)52lYF-nr$E;gTixUVl!GZ+M@GnLKzf
zTxqU!1fA0VTg#tI-Qkx5Yifj+mzPN{Uk>NG|0cbviUN5R5#hVN{p9z_K}+eFyB_ey
z<Yd~1=H?%hY@6HOXGnok6ejGjsxI;p7;rLtSMo*k=#<-xz3s@B3xAZg87BCGYlih=
z>NE>(@wMw!GtDNs_iJp(C@GmiZpj?|^6>ko9<-LTva-StSG%*nANzH_;U3)lj;^j3
zAn3s1LW1txzWoe&b=muOxoSg_pf%aKbLYN{<b-_Qb4!r$tdEY3ebH$WaYZWNPN8P;
zLs)>zYilg<Eg5M9?4txea-~(lp`mDX4#b_H{v;u#xw*MdS>Y1!3(zY2+RsT^*{<#X
z%*$iFaLr6UW-SXA02vh(?3{v03a|>8zkdC?{OJ>u^-L9MlL3#4ii-WmE}|m|T)$h$
zRBqrUw>xG7iC2Y%g=1#+cXtb`=C?*cKC}4Y8N7X7^z?=d+|In4oE7$c?NOFqxL|L7
zy!unU4SC&s1yc70=-+j)X~am6ZvA`u$HC4X`QwLU-IJx;IV*5Bim7633tmUo#S7y1
z^^+LRe+%d0;VIQ{ziwQv{Rv3ctM<Ti3wwjwT!57=Zv5Ro);s%$a=bO!G}+Q6eN4X!
zHdgS<@0|4OLJwAp=>x^Y;Bhk)B0!!FXyoN4oi8lXh?@RmlK7NIQBm=5z}8ER$C_N_
zW7jG2Tvy*TU$$}TvJ||yx=uknW%aqix$2k7h8`EXN>>L{LZCQ|=4$P9yRQIe{EM>(
zJ2qpMH2ohUxTO8M<j<;=<*Ek9Rk3k#8N|i)H>gply%(nh?AW3_Ex17=+#j<;sx7Z5
zzM5Iy)G`J3&BV*6VDLv_{~X5^O@AgNRc>ke6G^q)2I#wE9)F?c5!sP{Rk?Oq$7^0S
zpZWL36NxJ83#U+VHSF}`$94M+&Q$6~WK;Z*yJDgcG*jaA`Zefjj6y<M8`SFOKuw$=
z4buH9j;lWyI;nAu5m_qDBq8uuO77jx)%d91JW-d3nKYmYG&T^FpCf*ZCmLc;hFAUZ
z)Y<Ake=o50NqlAxGJG|*+y;VX=mH(ty`v1Smv07>^($T~-hY&m&-UU2*Zg9r5&km_
zY^-gJCpgb)CPOt#AJc{h<qiKu#l+&3N`$}c8wvb_k;r>ihkdVkofJ0o6r{(v9}`iD
z75GHt#e3ya*xcN9!9TH4yRrD2zFGJB&2lRE2;9FtwmMVQw2D}p3zLPlqvVWA+T)b`
za)JeBn__XkPj52!YVv9w4yk=SF*hsg7H{_AYh*rFX2@jz`yA$1Cf>ELuU3|l^c#>D
zlsrl)<U6~-tY|%x-hwZ~Zj_CLV?6PvSM%{aJ2lz+!t-*d29B;d5IW+&hrX(k*2iip
z#qXoZ;Oe~fs9J49K1^Xu;!A#|NjAcGh5Ae@LF-jkk76HB5xUUAlk|$J!Mmt2+S8}V
zfZRkE*kk|6n8l~8R%`FtTjHDVi`@9atL_saXDr~ujl7_EqU_@-XKeVLmDXQ1(@B#d
zbM@uv1HRJB%1BX0>4S$oRD7XWVpt?9_T*tCo}3)t=QnG*mobcRp3n-VS*{pC)yx>7
z`N!BZ1)<<VH8wJg4y-8-k&Y6&oRea^B3!Cwg*n}tu5Zx=)UWRP7$eDu2Z7OLiWBau
zhxS|K>-AkKpg)M67Uh8Qrtxqb#aoB=J5F`=)~~<CHY+Ml;im_x1}PD%6w>f!zP8|}
zCZ{+F^wWWDLSj%Cj~-BZy?IlpzuTe<$pwcshs5CE%m!ZkAuMf%R%7#vmvqj*9(+Vm
z-8RQZtyYFVbLJI+e<{Vbc{#n)0JW3BMluTZiTV@`B_@0xGR3z#q`{=4NHruc_|Q~s
z18n+hcG;!YEX1JBnaI|QETd>9r&yBjs6)1Q=P1dK&mZ}W+gjw~{e+hpRE-eyty8)7
zoh3?4S@#7wrlY10IYn;_5muyZ;kV4t@1d9<a9-t%8uzZNtjAA0-B4A)eNgX3Wav$n
z(JMeCheEZSMN`2{Go~)q4e2XnnBoX)D?{s33`KUMP}ZU!Wemoq@$BOahH#rE$Ag-K
zne7I-rCMfFEt{@Ws|DZ_vl<x&(>tlf*K1Ox$pX8_N<#}x7R;IZy-^IVtNW&^I}5)q
zA&uvGtzgZTDu~ecvXV}CFd@`WB#&5_UvRtgdU2@ok&ODQ5@Nllc_x3q(@4Isckhma
zK>T^Q<DREYDACtkB1%!j-w6}{YxAgFuFr&AMi}L^iDVRB@gS_v8wl!R&SavpQ$6$1
z2MOv?oLjs$#9i6!xDS4XbOsEm$rL*5C8Pxf(NLW}b%m6m5$~7Pn6**`Ug~$wbTCix
zde;1AHVyq%myy}I8N<u*3X^W;Hj-mRdhr>Cx=zQSV$A-EAYtXXu7|gTewy;WzA9(D
zKttRGHJEu?`4-EWlHJ~|0TIgYHEP1ti`;Lnh3=7@DgMU5yHD`=LG_}7N)U#TpZY^`
z-)F?$$SZ6_O|4UkhuXuE_qBZ+qjFini?;YT=x54MPmbq|)+XMb7USRzdrSIU3pQ<=
z{SkIju_ouL86CrfOo=#^-he%X@McV1|5;aApKc67>~yRrw9o$dzWo!;wz)u^*}oS9
zMp>fZ-zy&5b??a0USjq6gQKxBuaSf3A<;Kqy>^_^&<vQr*p;9B>m7OZJ>5c0ZCw9H
z>S9UvJ%`GOgyjMSa-Oul-d?bj&G(*^g|oBpIz>z><QhfW^~i}_+ZhC#1m6n&`^;+C
z7!Nz`ddF6+iu(#*&NeB9$cObEr?RKQ6tO_5?`>QIRs6cr-v^q`niYz@efezd^-FdM
zn9ZtZ8`8^Igw<25gJ_p#I|fF{OM`A>Vhi4pzO@yE3@YPeoEoPVVW-mib-rPl$GH^E
z<Tr1X5wzOm+Q(~#sdW-1ess8i*@lbn_M!W0&R4-IoeQt!HpHmmpqA)^<_&^n*OVSj
zQ{?n=^=o96bs?73hl1@y%?onYgM$~|aL>!V@6DkY<Te#t)4ZDL!l72I*V~yNgQMtH
z_c1{`hh7eawBqKt_kZconorr?l?kOLEg4W5YpSZMGL_5c2BWu27R4=ga`=(w5g5V3
zi(4Hil)8Des-M1|Uh4jjA7dhNm8<%lEmiL?NE1)SO*__J8DxDUlF_jmdQp(YseL_L
z&W77^Yg2;oDiOsS-y6ch;!CTm6QlF<`WvicK@?O}U_x9>K%i5PW1yd_dajtbI4KE9
zx)Y%VroBVoPO10fl+3SB-QBZ5bl2@pm-z(V>bu_F5fNOKN|mkm2d5|p)+y0n$qydr
zf8{YhaWp}fqy1?!?%l@5{$MFJE~>kB1yr1NG^`M?TkXGqwo!T_uj<M^RxWMYrvYwS
zs23L>9|S(2;FHW=T2CIpYMmUVjn5_xz3D)%Crah=NUE}!r^yg8vVY8$s_YYj?~M5<
zQrhZX6RwT$zkKVU&&U7F0{qj%j^i=x0tgiZcndUh29UYYsQO(5<JN5B@9%wJAMgJh
zOc7;dWyQaB>sHK6L5~v^6;&W$#&o4LiG%)=o$kx+ot-#J;(O`}=i-9aNo-l5v=x5;
z-W{4MGxnR{^Q!joLE`0K)7Yi~F$SpCZY8*IJ@}3|bMXb)g?lP0q_I4PFGog3aQmX-
zS?d8MidmF0xw|o37WpkXymS}gMiPJ6@^kIc)SCYPT=5hMPZ~d5qPG*p_esI@%U8>N
z3lK&?fTFbdSAl24e`1c$j(@7Z5AHhn`)XO6c*L}=K;|qx`%&sbQ)oXSvB7zZ289jK
zx6X1Ngu`L5y;yTB#?6e4uRxJxjB1qFTM1qSmNpESm;Inpx472p*eympQ=|GR_({MM
z$JuAE4T<?pO-;GmXz9ng(@8mX6C)to0P5dQ9Rr(7o0Af_^IUat*0-G3X)Y~hG*?@3
z<p*%hg3_B*S@F`f&hG_WLg*2Tg9pQps;ev)p<JilSYJH(9@nx6exnrJxl68#7)QV0
z$}@psOf|U+>FKeb7?9G@g@FJepL~N9EoN+%cOys?v%=dSUq-i%Ugzebc^x(XLwsh%
z<VS`EqZ@+};N^qX@uxsA=<}rITkjSo*bWCx%ITSzae=dJfB*hgO-bB8GZR3Gg$29Y
z!B--0Z|}py!$p580|a><82DhdKOtsjdvC83$o5&}hT9KTw8Qz5PV}u2uMzOp{nS`6
zH#20zFKr(j$mS}hJXvhTK+e}Vxw*M5&$}%60~G^PJ%E_*h2><4uvMk^pOae0FJ!5%
z%V!|UfFNjpZE?}ay;*ea+lqlsfhex5@KCZa7U&h6`t=me&CTHTyMD=u+y36igLVbs
z>9y?+Ng8H-TXB9lxOa>e?O&dXfjw0iEa}_NkS*Jii3OMTFl|^R&YM#hkO1fmp~})I
z)ZE`h(0U@Rm@A2G^Uv2!K25L@V*;g=vA4IcUULL@^)o~SBn}t-61_<e$}A_j4}bm2
z1oN9(%$1iL40&^43R|c4hJeG*@20FduToONK);kv;Ku=@x()nVUXW=TLGeRtRB&9h
za)<s`pwRK+?t&k@|9Aq~gEpH{TTA_*EA$pT@2;10Aqm&ampiEpQJ}&EoV)xIVhZ#(
zZcwAW(ZN)40v8t-&iii&(VEr?a9Av)#IWTh=ye|<J96XccP8{Fv>b2Q9)7(1N836H
zsJI^pgP@<1kda{`_=JQ-WA~ia#E{KX;i)br_UF+NqnOy7aV#tmEqB5Lk$tFLk3Yu;
z=uZRt&hPQ)Yh$1}XkFmtWyzN+Su#s8S_XE9P5p`2`%))|*T!Gh^kK4~a(fMp+SSV$
zl-Z`9Y=m#xe|xKOMn?KuOyWG&48pD3;;^L~vUPv`dYR3<h<u93d5{Xx@=G~r5%S<;
z-|VccfFFGZku_$`3LXH+ie>G)A|@U9U>MhpRJiNAjMv$H#ARS)EC=Q&cC=YJRc%QH
zj%WagfueKaLF?zxQ1Ol$*v5fvMr8}X%mrv5D^vD#*9=-YJrB=0sLN*|Aq4#V{Jb`E
zH(-Ur?Z-gg*e<+0L(UAs&Ut7Iw{>(bfb4-s>f2^?^Wj4#bmfrxPFr=Yj~7OyrG<lf
z<bJURGDFyxE?okR9RV>LRE4Fofr97HpVM=5m&`mx(5VG8Gqap8gN7xAz004eEh2Y8
zz3lWmClO@#u?qt^`H?G`;d!)w*nas0X)*{0Pha@AfsNMet}30mwsEzws1KLi6)AQv
zq5J`<8e!$b>~eXVf_~jXa-UciBCs<5nRsBg!4pi72PYasna?LaYc|(*u2$vC)5!vm
zxc+7x67^g(?%um61zP^j$UUA6Fv?w56U<4dsa=PTgYr&JBRK-2|E1V=#FGuayX&tn
zx#gZm&Y%ZBSQ|`1tN951wQJ<ynSTZmE@$Y=Xzn?;y>)*uj?v=kojZ4K-n@yRC0v#?
zkCA5mqy4R|Kh6#gQaU;b?SkJXs~(SjoxZQ5K`Gm<9F<&?>g(uSayaw{%;txNxzW$Y
zE&LU83-{gY^z~EYqKDUMeI_v)B}Q2>81Sk5FCg`|m2v$w$G14nN){2R@QnYG+UU7v
z=($pR{~Iya4h?KkSSV~**tp6&p<jzna~0z5`yHTeE32wvYH3Y2?EhH~;o*JwjwCS6
zZhef6koHE|NCo<y<*)Bv^87KZTO);X3Pf{<$IL=PRM6kwZ*Y925&w6(UCn_jSntyZ
z4Nmt~(Ak#N)c{a?vGNXa8X-agz@p+{`P1quY+@flJV&=}-p3<MpH^0`u(6$~G#`?A
z^eC@se%AJB;~rr~mf(h(h7K*AUsiIBTQMzBqvKI!(YPm1O=0P7g^2nwvWSNSUkf8M
zQj0I}d4zFE-A6ic`WrV~@}0YP+u-v_FI;$R_{M6Q-)gRw6buY%fkz~I`ugQw$G_xi
z%CK6MB#)mvtPL&|*L)~=bNp{(87mEH8xzHLpkm4OH6QQa52fbIRGeYSocV~xXxSG+
zI-j|G$an2rgLp*wgKlE^M1eDFLurBFRDg<&frz?%MVXnsK8{;AZVzaKMFk<9ct|=N
zQ+<Qxk&&K`fZp{ih@OLkz}VP$s=}1uC9Uu?_^^+VJ=)&im(kXq61TnEsFj4IPi}1a
zEg<Oadk27smgqTk3dDRcxz4hFve1&2uD!{ALdI#~p7r28eQmk|FKzMygL*e2I#eJD
zsTEmk=nK2xzNGed9b8*9Q~&FX2U_!kuoGGl?Th8w-+&H-1*x;c<8R)E`3JRd!XSga
z8yxHchr<s5!Q0u{ixBU~cci^u_Z7?t*U4YtxqLMI^NR{v2{CC~oS|1R=(!Wy7Xd0U
zWXcRY<oC1(WA4<Dx>I8_&&0_o@8RKr${p>26hlr?k$i7opD7gU^41m?gdE}^NfR6v
zcHYp?uxD_Pk~9LE4hFsC$>D<>XCdnuCg?mPIrpfBH}?2Fe>t*oah(t8WRMCVjDWye
zj}Hb`$Iy@xd<&b}X(9~TzlkjiKfmho$B%Sx*ckY2KZw~mI7Ed@{JMietq!H}fJ0c;
zlp?xz{QEcddFd&AwAM#!X6H!w(*DErYPIDgwhyT2GtH$2rEy@+%`6>6rlfEo+3D$v
zscSjRut_n2<EPnvK}jgsvftn-`wXjSR+uWKb+ppACaw0L>xHF*;DEi6>0Tf!_5D8(
zB{N2@|9CHTuBS++670=f)!BpkuP9V<N=l(#T13PZIH!6D)IeS>CRN<M7aa^*d(8|R
zCWoQto<`OMpHSF^gKP@^tv1<mIL{uBLcxyTVO9xg7^ptejv!KvH(KiIOkkJVFTM4b
z>$4V2N)~&nie3orqSrM*pJagKkE(%zLE-+_$)=ZWDuXixU)}QyhZ@ot_MOWO?<8Hw
zAIZC<SfoIDKgwZ#q!a_5jpXlbKUxWoT2<d-e-M^`er@>HVNyQkW_ZdtQDI}pl;zbb
z%F6T$9=l;;aHZdCT8@hiBtzCGOSw!gW*u>vSo%%g90d}QXLD-ETc}o4RPefd)q{js
z_elYDX6*AxgtXdmz~Z?iP>>T$EUbvs)DkB`hJkGw`pnpu;{Q<+_HX)%RHYbVL^ufk
zdl9_rhTv>=f!=QE!flRLj-1$G<23a8nKQw+j*6&#D;0A)Lx(8+zO7t_Z2o7CW7}YL
zdDHhF1FCNK3^<u)%6hLAZo7<#IL(uhZqzxfJ^4B(3?4mWR&<3$N=6A=&RdMeOebQC
zW@tu7$l=o9%3r?8niD&1^+u^`P=)HH_U}u=rW@ZqWIx$noLKKLDBcwiG^?%m()r+`
z%ctjlzoTaq*A<b|n7PyOTCMC1;ybeRvO8Y)3nx#|9Yw6J5*IMFpCZ;(gSW!MgY?El
zq&&gq;Gz?F^eSXRIPWQ6(f~1D*{J~OWOlf{^at5KSM2bcoq=8C{2639X7Qu9{=vy;
zA!+!+dlAhC6h{eGHS0Ux(#9nP1(mvNDaF5bguZ89`ZF-Qm!L!tE_vcwFmVCo1JTom
zDRkV!bS|2@ocOFaHm~H<DmN)m1*Z$_3aDGX`{iS-1&yLGMeY%K)hPQ&BM-1pfW^&%
zvd}3wjG%c&ubiC2Kvn7zirW*<D}0Lc$FHnk%(cf3BI?Ut#xP0B+LBJM#K<Kl_iup~
zr&7Elc?oot<pH!>OgDm|UG&Vi=L);RhP=W69MM%F-c1GXIZ}(=s=C#6R)lVQ-T&6R
zFvS?_VRuu_Diycu+8}6IjG)y_l@M60lCu=f1V)bR-LGJ$O`b?dtoTH-Cml@GbmdN6
z-RBYm9nyy{uKkXF>w);Zy@+_d5bSNqQZv0TU(nID88Ju{mk4)(>@;u1HR2dmD-y?W
z*QW<DFzA~N+~@~sm#DQLvI7M^d&=8nz9*~e_Bmzd19xK17@hag04XD1;o=XfwmVm;
z*;>zjenruw#g8+U>*J}Z<q^Su`@DsVI$WzZIxv$-X)aUXI2>b=i_GKT>t8I`2h~?t
zm%Jc!Smr79vjYqitM8QKlK`R^o5>TV+d3Gub;3=gM+vp}f8eX0WjxPIb~99sjcJCp
z8`&f`N(&@9g1E*=fFwIZ{bkr*ZmFu0#d7LoIz{6?sGQz@OTeS9YxdV5hoGchlst=K
z@=bet{@3ye&oHoX=c*+D7(m|8H!u(nmyj9(kdCzW@w5<DPFpRMz%Gk+Pa&h2b8P6o
zb^X)Yn%2+hf21o?Xz|d5I+OCMh=x}wb|A(L4u4-xqYbn`XR45w$aM1tMG3oat@ch%
zmM2=d0YRY|jNlwF-h2iEh)GZ{7V&-XaXeIt+GD7*JV>phsUE1VxX?1a$g?~8cggeX
zGZSW&#z3<n`NEH8m$h|uOAX(e+k;3Mw;>8>5eaPOpUL#ELdpN_Wcu;<u{)3kCB7^H
z7w<92q&nU(1)cX@M!b4(n4p|amC74*3aEIuN}y6L$FoX>@?^#tvQ$H?Sz_eXT9KJy
zk>u7C!Gdxhiq{^S(_BsG{!SM001`qw;K9oVk3pUq4>oF$PfHA%*!}(eHEiP2(s%@u
zikTHORiS}u7Ved-XclU~zO23FMHwP}_Uu`UIkP}wx{gNz6Rc{GwM0mwdek5P1j>8$
z)VKvZqz5`xc5Urpi8F0+;n%~0UL8F>P6&^aUB1i%MwvY%agRhQr#S})2P?o^I(h@S
z-Y6}Drw~UV#Put>UsIy$4u>F1QDnLQ#;TlWcXu}mXl;X%4A=Sd=YxA5MuPCg{^w7!
zcQtyw+t%OJ%L=PdWVf-@FJs1zxF{9<GgVYI<rgn%rR0o8h?ljfrEEceb%sUz%&^5o
zqVo8cReBX3EFb*XDIfBhb7Xt{<|AJwb6GMC`~Ej*{FH4w(YbTouv2hUFKuju0QRFm
zp8WW%0*V11ov8D3$a6fyA=ni63Zdk>9ezoC@!Pj>#T1bxxZ4Q3jWx(|9Z)0$5Vtzw
zY6c75Vag0#SF|B6w$nilh!X=rlXOrc_B~t%wQ?F8X#r(d4SfTa2?B%bk73#2H`e!m
z{~YoT7`JFzt6zUvT9AyC0eXbsIHy4)b+K-BMVb_Xp0|L301_G)fO!HO;m#fWk&%MS
zMc)4(BgYEtM&~T6DJo?}WG}2JSE+EzdU9t~4NC2C3^NV#<$rI0(1h!*^T&}#S$BRI
z2%nbKft>3m)rbr@3In&S-Ayp=$jgVqLhOTb$_Dwb!l(`6`%gbb$UX!JXi_;1AVXHS
z#)b=4bp+7<yFd)H0j8l)kiqF39aXcLtGxnLl?o7=PVJKnNHPg~pEN>RK`Jsb@)O+G
z<&~AIP@ZTb*!y_H@G2`SKrO{I2`&V3`nMsT!UUEeV8DkUQxeZo)HMW-J`(5!7g}fK
zcX8?zn3jF$crGXb(J-ZO8-DW>JOXmk2(VVs*lkGS2+jt;OEzdO6&^qB12<^t3^jzM
zQP2GROaZzuFz`R<B0NJ(>^w!j4(2h3RtZH!fxC$`3M}!C$;nBHZ}3x41LHuP&`JdH
zQFF^&<KQPcnUqP%*2O9%9oUZOhR{FSV%@8oNXYZL`cgUe6N%G9g*-P#VfEt-`HU3A
z+vhEd+>(p(ltuNjeU%Ea?8TK*6`2b^e_yg277<dp$M@gNs%(ls`#+cscyT%#VDul%
z24MLF-9)8F-v-J-&u~Xk5f?#c!=WarMV&bj^ax2%XlMs0pmZgLJv;N<KuVaS&Hx+7
zLD0Mgz6b2@V%^~V$LsfgO^Y;ucV6omfxrcGAhi&LX6Ner2i0d25}Gs?t?nF#q-vhd
zi@Pz}q>Ti=<?6gEtCog&{&i1h51W(7&2r_A>@NnK;f18HdTU6h2t_yb%0-NQHh<5a
ztS1z5cGzT@A`|~57k4-Q^nW4vGLS4>Ir6AO^7se&C9gwcCMKpuki^lem&1AirdT|H
z`x8%&e>$|O`PaNcy2<<e``%&@_s2u@TD<6h7_~v%q5RP>16ra{mJ=3x^FI$PTo(~K
zICbN$bD%R$CUhUD+6a+*^}oq?$;o53pc95{8wd5`Z1)VDQ8~)a9efdi8Ty>w0NXoE
zQTmeV$~_I0L$3(h%s~s9#Jq%e|Co6A^<q-yvZym5knK+3W96`<vvYG9LGnfx*VfDz
zZ2yrL`^(MEc<`an!kxEfu5fVl8Cb3SC(Qhf<n9?nWS&PTr*~lO5nZ*8md*L0goFgw
z?KZq}5HjU9Y*VOYVg02gCC%!mC4deNYl@Mdf20|z&2*~PjuDubakVZfB_%EdJ%CV<
z!LY!A7|7!P8izPe4lwjb<8hVB9q8`)+JU8rSg{Yw<nw|!?bb*}^o9UQ01Jhn7oY7(
zww!KW&e=9Z=%3{<yldPOvyN6t4gRGkVv&-NmtUdHiH^7-2xMSD0Te~+3@|=)2}ld5
zvv|nnTpc-_{{CBgpqv1WrS<e^nUzwlcqC-QX#Af&!-Oc)8HQ&?MVv6JU<?fr-Imd@
zQRpG9Kz@O?#~9$K(aBn4`WTefoI`LBymOa2U_?Q0OAJ9P8Z0b$ux_R*&Ck7UZwC<_
z4?P?NB4^vdf_FHyE<)r9=;&w>5`=5}+OG!PF7AV9854RQWT>PeZndSRu1?YX=fs^>
z(u?-b?={ICkdcicBg4wUQMuN1EVu|KiXO)h6}<?oi3p_Sv#>$ICYL+1v%0#v4BxpZ
z<m7l%3xVx>bvUi>6$Dj61$)E!4Bxfuu4TL~W%ffUd|*t~U1J)Nv&Q>>Fr48Pd<lj<
zK%IddfHXnKHWlDlkL+bn*djp0j059l>cimHZVh_;!VQYe6gHUeqe_y~2RikR`H+<j
zfiXK*H@9A(#o3LGb4wz!-7e;X|K!&T_eu?#n7FwWKe&DjYpB3{1>#Teoz7Op8XoV@
z8G#QcigaKOO)Xy>h8NjqG3Wuo6!e6@2%2*@V(AtV21;@rLnzH#|I8u*3yZwL9-foN
zhWyxXG=OU|D#Mh?G;zcBIp1oB9AQtn9Md!d)Q)*f6P@P^b`T1*wK!ZN8uh}qVc4ZW
z$>9)>I*Wj0h!!HzXaH$#`EzUwy83N4f0qSMDhQV5*>5vcPKQD=EK@3w`14#{rDt8x
zBGeV??%gvGQ*#+w6SW*+M$qFQzIc~>Djnv<6Lhq-gVMZyodLuFKqhav-kr|S^OF@T
zq#1$5lSD`WLpwa@QgX^>6($DO3>R=nh>Y&W`FWhg&<xV~q5hQ<c*SaQ=4(w*aTrY2
zp%>}sYlZgvwoU#Z*^W=jsxaD@GQ9Z`vjXq~0bBWH=QE`%_#|!5tFy)xi?6Bl*@xfC
zBtvaa=Ba-wQ2!~1al|R;k;<=|GAbaTLLLR9Nq{m<z?9-N>N(AETo+bxH!Z7JQbVLg
zjJDT@*GpPP$gWpaGiosVXds$b|62Y8ZFfk;a2FL={3nLpubzfcv`S=W0wUHcy2^ts
zxcF2Y6I%RiOFTBl&+mz9D?xm4WOQ_6?^@oMCA4BUmW{e-%FcckCu$t$4~yw@_AwFi
z;U=cU4&esEV-&9{1|tqNZtIzw|4b;ve7k02j2a77|Lv@wCsN=PEh>Jru&hxct5lxB
zLgDrzJy$U!7oo#&#9RD8DV>{Y<B)mZ^Mj&17x^iZF}ngNj7n~Y#s_=*r<R2YnJg=T
z4<qstq;@(Eii3e%>lCjjbIZ}Sdi%?2+=}INj;p1kBO@P1ML6c;3ejvDoNG!I6`9{E
zIVODA=h8D-t$51=rES?zRNC)}p4o_`Hz4yd#PibciEgg(w_d=!nStH<6epQ#u?S&i
zP1ZWQ7O<{#LfX1Zl#qgd8h%k|4HaMZ%%HfBK}bRGVV(C&eMA1opXr8!GWNo%osSFE
z!XZl-q&uOSQ$`j!S;nskDVOa=lzXJQ+N@res~FmO?azcv+z(5LGR<K&OMGpXD9oPC
zs54=ipc%`UvwY?|l6NJq^~2H0vF}$59BiDL<>R^%&lLyVp(eq?rZo4`y&_qCu8_{}
zGUCE6vMhZP-Sw5rzC?X~UGaD+)QR<SUGYt=DOxk%-tzAHM)s?hKcQ0n@j2q%`Q`6R
zMh^-LTp6^2j;!|{%Uua0!jArY_q^_O#UmT;Rg3@+QvT2@12${s1ReqYhFiC3O0usn
z^tM%a@zSP7ekXC&)R>afh-WUBW6QC5#J90>iL(gzEZ<xU{oL<QoAJ^0lwH(upv=Fo
zFui9Um|1|<S%txNx%c#li79C1-SH1$hDKHrt5zFqENa5Bd<Eo{!LWl!q&i1&I;#p-
zYPQKE-}7+<Ld2=EhvO!9DhVEUmEB!r-QI|a9D4!LJIC3k`?*(@HTujr{s_@2n8c{c
z&6j0Hna2CNpr)2>R?2IR64eG@-et>SUpM*gHZ|DSsxL#LCcvT)oIPpt=x#aFKF>xc
z<4_8-b_ki;robDio8?T^S2a1QoLe~WO5Y*B@#10&H~z<)PU5RQ)RnVlmBqb~E`GTj
z^EQ4Y?Wp8#k*Zw&#g`vXw5}K!xhWD4X|5=X=0q1Lo;hP8Jd$urcJZpOW*0sF>%4_M
ze&+{Ef23_+RpRQJJhG$w9a{Y;3xB%n$vcx9OwL{cWfR=A9Z%kUZM$NwXfp{DqTP(I
zqw7-zf;HsWoTM%^Y0}X4m|u8*-c_tTPG=MDt!e=SZBL<p91dm}{Y&F^(@KIWypwZ>
zgf|}Y(N?wJ5+2IH!Rk-gAZ<_;BL915c$Xz&hy_IpF{mE68hO=DFQGqWU2c<_Jc&t(
zHeijg3Pr19>3_-m@pGbJQsxqo2kHgP<$6!4a^PUUI&EIDHl*-`Exk(0$YL(@-r@28
zXBI#%KS?^HmYVP31?}4^wiX}!6$I0_&jvPN78mk~<yg>ep)X=ZJ%Xd7vpew5`FN(c
zVsW@);<;IMBhqQ`$auv<$5W|oCNM4A_%cSnbtsxY_-wL>!RCe?F8v(y!IO-sPl_^8
z+Bxjf@PE;&ir4I;4(oM(BA=Pxk`plW-!|{g9t(R2gt0$GG!E<`QPJp)E}NQbUcV2?
zHXu;{1?F>MIN^z+a*X3r#C1u1*Q=PQ(umpZ^ekU)>aTdWNjxyHG0Dg}?7710Rn|2#
z+k>H!grzreAFr92iav>xc2y?V&f#|1oZ^FO{<O(kq61lQ80<bjGYQABoZzgetjyPM
z5Ci}O;r9?2<OV<6p}j*#hX6PJ8i89vbO-*fs!8paG-?|fqpYj9qkV-APEu#a?M-ql
z=uhvD(|jj$9|<X$Z%S9pI~TXak5ISy7xfhti5YIEh&XZ2#-^kwfGWWE`t~lqFo@+e
zmoH!DjEy{|ac)R~vFP_Orm7kaf)Ip?17J`@Gp`@EIZ!N=^QTNqOyqtv64M9-!I&<u
zSwD5R2<Z|G_X}7}kw6lbtUIozxagO@Lh>X-dAKk(EoQ8KO%%HZ)*~f!fp0L|``30b
z_4F}#(7z>%!+kz5iLIG$uT!iEk?5U+gIt(H23PA9=*|di_u%IeLDU0c*`fhUGBPp{
z3f9UDg$#$pug{F=p!QwZpC8ZF@`2@k>Q`eJL9iV%tT1AZ0<?y9{FDW%rn|cXA!`0{
zZEcNuISEjNO#+O~pr?1?<q1A8-HEx~%TY=~Nx2&IZDeHxc5L)~YWH`zbikmwAc~C@
z-;Xm-eTthj;M{3#I$m0J1D+~d&KQ@~l-o}5G<_Oe)6e*a!OqTNa>4*Y@9$r}@#H4E
z37AuucdV?6zy$4qY)B3a9P`6F8%Rm(4nDY>0^T;MnZ3%$C}q>IB{*IFAh1Zg{5Htw
zJRsY{Fl}-&C$K+zP^BTi8ww`rJBJ~078p6Thq;|IgoM$sNB6?mKsMYp^qf6R1ib=3
zM+b)fQK*Lt&7PR=V7BEdBx%9x;fB%V3fG-w`#uWN$76XBkn9m&kBN?Eg0Xs5r@FE-
zW#odORlIzvm=4S{GhyKpl0dLxy4o@>C<wSoNL*Z8k$!_F3I&cd6ECkaM6NZyzWKhc
zrJH=-4gwVDu)Y_I5J!#;+YEUjEb|%YQ1s^r3@;KK%n;3!w+~>V7uNtfat=Uhq}oy|
zfbha?kT0R=z~kh1-8O<r2$=IS+}_@%zkWRi5Fqf7>Bgtm5CHQJAt?gzvBGSC24pg7
zAsbqTXAl=qQBf(<tv*Y7g@-5H<-^lJAOdLT$W%`N+$I<n`Z86{c;(8K?ANbj@0&da
zgrC4`d^@2}S%6j>#oMKvt4N1J&+A~7f&B=U;FsAN9t0+0nAzE1j2CLfH54=KsmaYB
zo;FX7Vw1?6G(L|9&#ek$UVaNmDovq_QWc7VGz>X4^=ECH$r3u?D&W-vT9tw__%c^_
z4IP`}=9X5nhBs7vf>~x$7%kQ=*3>LD7=UGiap&GWh&soCUIMg#=KX7hi)j0qF97Dy
zQlLh{&vR(L&%R3zQ!3p6D(`iSmKjTRw=^|2vcgwQf8lv5s_qb;=6CmanmXLSHFZOk
zJ>4A;>UsALJu~hIL&O~?Fi`LbUO2I0Q+Ve%T2)9QWeT=2^*s_kzMc-oM%K5#ubChA
z1^Nx_CGkn;(=2xclcPcF>MCw4P#`53{+WjN2EY)$G5FzCmXpLj6UBdaYlp!xz6K8s
zfb(-Gjt7z10Yn#7Tf96$P~E)4uatb_mVv<~P<&PZ{u+ILp8;<%;0F_^EA)aCV13#Z
z%Cxe(+;g(`4H7g~Oui?_#>zm1>JS`mIjfe#=IEN@#$Wm(KciIFyK=<Qu%JNi2TdIp
zbAm>z`eF|b>FQktqnLUT&BB;T19u{y%U*}R5SQVD$uM{?2&&0#50q?7BX}(XpgCc(
zJ|OxZzkKNdMokT6&iK>ga4AsOX`KS(7`y((SxCIVvV};BC^}8UqLd20WH@?qtH$u>
zaL!818Suzg<B_vQ&~ZG_^oAP?t|u}g;+BjIF1-B$EXzolFq&Z~Ye*Zl12%jI&&)Sd
z$A7Z;em6{O^vyfx{L-h%MfZ*9dYq2pDA5OzpBDJ;Mv^ud)ZY-jlw%_hlQNYL(WDVL
z8EA%7V8*ov5JdrZWaH$Fh6_Mbs4A;z)y&Myhd{63Jq`3g8yFbS(ytFX=61DLA7(4z
z9Rl}Y_`PFbKmktaDhx82RO{wImI*x>2pVcM6iHv>(_PdjNpjH?N$(FTiZD_S8Ljd;
zerXg`GYf1!-(gNIB<LO3lPe_+U+tsSJbo^BD0UhW(FnW>3c{a;@%E4LXjvJ|u^bpF
zgH^|<B=IvFN+-4f9$gHjxwPI^hhlkBha|VoFBz7es(7YpUbkX_yqVb7>H|)DLhP)t
z1;+*5jg)95^PMl*{@iG=npgQibzP<s8s+gol925<bQL+eIGBV<O1dBHu8INEdw1Xs
zE_6dy@RAur7}jc~ZilHlooWk>{3vwdq1=4v63ulB6!0Os4e94;-X{sbPe-9m%FR#e
zY9=WE_&o(r=Ht4qlS?J!_7dS0G3a&=n>$C<mfT*URWb+!pI~i126x+5e?nr|@{?eQ
z=)rVG6rUsRZ65@icM7?0awC<R@qBTEY7PG>B+_pPIcRws(n^+umqitjxI0LEFaP53
zICFW79du?0C$+-_&>)O^%Ap7Bw)AT1??p{Lr?4A%$MO#Mz_@k@U)<-7k92yg4}o;)
zACeI=M)`!hWvT^Cr;By$dawawO~OM;%wyl4;HLhC6xvADnnp-4UW2(m^cy}Dj7t3+
zoQ2}znVxD8p1Z`BF1~1nvEe@(MK?K%JI5oceUs3=^nRJ#IFi`G4h3kzch_EYoA3R5
z{Br~0ylKM1OgR+N;Y-uao(+}lwWh8*XRW(<?^}(vzZLgUV0TNgW<~ZjEPdq0dH?=B
z`*07LZ`s(*#Hr5$E#bmwh_2eJvl^I$b<?q5B!NA^Jk0-5D{*a%OER0A?z<?yi%f5+
zM>cOK@?~GizCiGJ&1zGBWcG7(kKFmJQ|#Nzw*Om;(PMk|!m<Rd)u6B_C!8fI6XkKb
zklPsU)8Wo-&TZ@!rb?41q@uPL2y)BF9}&7>9rFp0VJH!xSbEN2;gJwiOC{<Z*3{ai
z*AWDg-wxXo(Ntl}9c9vlcISW0CT)?Xw5(6)jm<n1{{F}?MzuhIfU*A;J-48a0fjNY
zbWc&(y>B7s2?Jcn+6T^cYW*>7a{W{{ip^2X8KB8f_4YOg>094fzA-+{8z%noOu{(X
zcI9{nx5K$hvbpd-`V6`iS<s}UXrm7nYQR%$O(}s(bD{m!&!yGx=FY4+C68cBID*!#
zJ6@pCH=U8kjvnj;Jy+{1qcdU>b#?nT|3xBgw%GpE8nxUCserU!xnmrTSus<OJ3E;s
z-%s82;rp$KT}sff%J@)yPkALennEFTe6NCEKtQ14@a$jgCvA6;Y0m5rx$%%(glp53
zSVWXL$3{~y$yxyxbtTNlpxIMU5N+Lv1l8Asu#kDyYn@$xf{e?gNl5KWnIk+JN`-MY
zYq#tBbMBVt(~8%N^Hou_Ek9;!p*oP0ih*6~MR>T9sgzd1TcGYeJ$1jm&z&AwqXcRX
z*Hy#F-||ZN?yrQ(Q?_K|tW*@Yprd!ERnf@g`4>m=A#u0jF)|@cK5T<K_E<QW3M!Eo
z@yD9W3eVrb%*MdOCf0tAB}ni%yw1D4c>de7M^j}>dxZM)CeGhJC_q$aA6>l#@hWV~
zUlND(e2rTx34Z)6m1BcfiEUY*5D~t-8~JPUXpYJ&bk1|hDZxH~eZkLvK?l23zG1(W
zeQg+B3uC6KcVf+AcZ(u34cFYcKAQ>(!%d1V2qtq+h#Gvkq`E?+p?HUM(r@kY%=<_O
z1hd5ZiJZz0Jvg#z?-gd9O9F3esOQ2mqL|B|nRCnGU!U+NT}>wtgj;K4e7ZjDgA`(i
z@skL%DX4FA%cC-*q3t`hzhCNrKcJ3bNag<7$n_R~ak}Hl>kS7SG?;W^96_I(ja~Uh
zPQG}W#!bue_wH@&t7?Fn08Oo;LqUK<O<{K#Bwnd6pWO<*EZN*40<I3=R2gu>lF2}B
zJMI8k@`8lN4e0ZYR_^f17f`v;8#loGL{N~2TfDv9_BX#wtxcP!<s5!&OBA%01M3Pf
z($!u!c#9Q;zu2$8gb)wB|HWOwX&8OVP6Qzekv1kv_ZJ1Jq_kk$Rh84I20sF=oSO&Q
z4S<aUWBvK>n*qw{RGLKqz1W(mhSxrsfB^?%^Ze$6w7DI^KyD1YkDX3-!oBt0SOY$V
z8E1dUG?SB&y#-SjUX6gB{DZ*dc=-Z|`F9l*Iw6wvfDn4PFzC3UbfT0E^IxZI!7=hU
z+NuHZR)3#t*w+B=X^E;;MJPP`XYoYed&>4Qhvbx@CX9hs+5bMY%SVsozG!J_2@3iR
z?{5LD{6+PkueX=1VcsBvKSb1NJ$lOOP2a?<m7uWOk4FjJKu7=^sQdR>{YA<etgk_4
z!vM^j)A0*@I5|jX$`w`4ZrN`y-V%1--!xqTyix?4-Wm{%PB48T(9BwGF&+s6@6l5q
zAOLlSfFKGjlxnwt0fzAjFdMvW4j$f9c<0x>O@M3*K`=!L`=0PbwavUPOzpYrSjFtY
zBZaB_-oUswlIT^If4|>wB1Bd`lIaC6Ui|c?<w<RJO^=<k9^3;9?!s|7D=SU_`eTJ!
z;c%LfNl64~^B?lZS0FVHc)pu=4)R*ys>wyed_gPdx7e-FfgaDk;R4j#H8~l_ruO=V
z+fRt9%78cr<V)c3$aD0Vvb0o^r-uhR4(#RS_3}zHXyz;bqq+Bv=lXBohu^kDA(f1V
ztZbDnrKF6?p4miZGO{WqBC9eRC=%Hu8Hr?MG$^A`gbJCZY5b0-&vkvj*W>rQ@5lGP
z@4s%3YkWS%+w1k5=Xo5*d7O!F0hdE*`vN*HlkyW=D20z^nJ`l^za%Uq4nd&~s`R8-
zq4~pA_|=N1Cbe;M`$NwO-zeigBclb)$TikD3y}`YB6t}Bd+oQHipZD1@F7gxfkZ%<
zZ3=O0#nR&6YrD^$x#okS$u%T-n|Sy^;^8FT`i<d+3Zv`Dzsi#Nn<EZgrFs!_0Dt=Y
zUdgWFU{tYc8W|<J!u!Ci%oVSu4Wki+$;PCr)VIn4xy*1`uX`Le%d<;sMeiWxAjCW$
zUvqOa31|QT$6*E`3k_EO+2?gNDM<*x^VQngJ=c^@6@2Y|cmzsYAqdwJ5u_213K)F>
zas4sTD-_JUQP~8td<X2kk5f~UC~B5?sC}h1P(JSJReQW$ri9hk2;TpXDHk6fhItm{
z&JcsGIikFU47wZq5elH=kAJ&T1yR9)-<fmum%_D^rBtb@sd-v4iHWd(XeC1Qj}K5~
zs`pZN-9KyUXj@iC=ksWfa{-N^FTMp{lUY8x-{jl<{~}kT@SP90j=Bw!KRi6c*b9j!
z0D;#JJ*+5Pa_-t-USI?uamsxEm~kIc5*$P}kj7Eqa)k<b4$Ls+7ZyvlRgFqxvR>?N
zWFQfLEwt9~@I*yMYDM^%nwla(NbpOM_e}3QDWd5pWQ1L|2gk`eB@YU>#ZgY#sV(1b
zAS}f>IPL_n0mfu8BREQnv602rtwcHcAa*Y_a<3kr4m_}Z7+D62n_HmK!=5L;aANQl
z2`(+&iPcc?cd|<BW)^7rKG-QfLWT$1hd7i*;|RSb>&6wUJR5FTgG5Skabjd-KlWdR
zgJnKE4A}3pP4!nLRZUh#;=4%{jJ2ut^#kBgfFT(t9~#~{(;yD(47Nc8?hKa%Qz~(|
zBb7VenX?w$+Gkt~NS`fz=MmqJA^@(Kn@6hs1vSVKKFC(&Ap({7S)RL`Y8i%DlrQ<b
z5B+Pk)b7f?Aajl&ht(LN^Ed^YX8*UW5Jx@S1%vS+oFKKD&LArNj9~W|B5*(0yRp~(
zcV5^AGZ#Y8fj=35n)f5JQswDdnjjp1pw4chhMYi3IFLRIcia9x!o|OSGDEzuE$5`P
z|6why4Al^NlF0X*nK`}9V|l_+O5nfv`}6NV<AvnE2w#=XE`CchedH%iv8eQZ^7?fg
z#(1j4?&oBGD<I<y@+YjX`Lw)z=?HcX*H5P2RKtT;<l=SC{&FO9#&qSjS{*iefgjt?
zY8{jsiDe+^TF$vn=aC29mNWxkxyXS<))q(~-9pP<P}EaQssm(TpB7VJ0(k}odAm&=
zE#CRlK@}vWHdwa}R|T|K*^n1&LuFzLk3GEqEs(K<w}I^nidarJ3>F!Stf_te{JAt0
zM=j1j)N`zEIZ6);3jVEILr|{KRcLht8vkf6nRKLbkZoK<MgA4&U8#v>9a6gg$}-o+
ze#7-LfTS~O<F4xv*D6@Hx3|y3KW={d>1qhSrSX8cpq?SQg8H9<fGxNcHX^TOuYQE9
z4XWZ0RAIpbMij9{SX$a91Qy;Am1$T3U_PyWRGK`-z!>gzE$Ley$A8iG>Tpsy{|bVB
zVIUJ*4u5@<zJKLtf7L_m)JR-wP*-cf!v?vbCMKc*l3#Kh1H0Ld>lR7eW&AcaHdxKA
z-*X1j$vz?hpHt#7hiC#ogdm(3uEGbg*esvmM#SV3iMl4xHHY_){P||nB2q5x)&ypw
ziMKLwzsAQ0rOFx@I{2eFWWO4LoKALIoKk4n_BhDXHtS;{FbharE`05;>h^3y^%@_l
z1v)ByTtIJLf%IPw9;B`PMwSZ_(K{3s%@8i=k9`<H<dB5gi|~W(89~Qh+}wui9f0I|
zlsv_N3)S%UF1@LA>V;=iVWCHaV!vk-@9c2g5lz6B5hW;zI&Hcj`55+lH)grDr5z4^
zB|%+S1hW6)=99958eOrPS1OmUE`#U#*Z9lIzkmO(7prt)U{8c&*)e;2`D3l8hoa^9
zckV2GGb`~zDrorG754E7-zp@(2Oi^8(cB$ambZQXrPNJ<(#?4yn8mB87gC4vR^$=V
z+NyW*Fi-`HZI1i3w>5RcIJ1L5apn<K#I$2~<1X_R9GLZ|3TL=0*V|~%tCEMOQ-mt)
z+0>bzRqSi{4IjYD0mA={8_&*rT0*A`Fv{5Nv!2{tB*}5tu2uY#g9I$6KhDAJE}2iR
z1Q}6MqHLz;Pu%Z#D-F;?ulpmiYD95~D9kcjV`6xousuF;k*1PAd%*VOaZaXfazAs@
zSDRex51fIfLH2OUmvfB%&iyr_nQsn>DVm0DSpS&gpwGjOZMwkG5mtAeScV(rwlpmi
z*6~*j&h1c$vXbiQxyhSE_O5}?a{A}KeXCr=)Rmw_8jEvRR@ObYb!;+NE77L%EBpSC
zj<L|rod!aYV*6l0D8f4YRsN07oR^c66SpJ7ZG%IZBt7j{BaDZy=zlUEIagr`iwYGV
zU(OtM@W${%!Nbb!jBNP$3CcBKHTU=FcB>vcCJ1jt_ZKlk0VsX(^kvKmgAPa1r~03_
z4}ZIP--IvwIgftkD_(WaSKz@qVMCcS=gFd}5c%-o!?FqUdIXga*ZcZ%c84woXWm>U
zFDjqxFJN82Y186*!h#s@PECE?&Y`FzfkAmFQ60KRA#V8>&_p65s@;C;2ICR2aH*99
zIKZ&P>mO$aNGq4!!_sm1LMLaRcwNYp8s}+~RPwj({(o*_a4V?@k02csy5(tk$G?XA
z9v{hX-mvih??C?4@faoi@*MrWm%coc!b7aRYsH1>4dE=a3{n;sqpy>$m-ynaPG0FQ
zcPHWy1W*!KQ>T1|yE_5O!6P%{(2XVKGqZp~hfq^EbmhRt+c-~&G6#{qLK%t);!#Qn
zaGPiRtFIE&V3N9JK!6cb;_lkmX}LO>t@-1G1T!n=8U8de>tP>-8J5GnKjx12t`XE8
zh!9G>g=^P1Y668#wNIahAU?L-$C99Ds1XRZZ;YO`TJ^lLSdbg@&$k4wmN_T>5+x%h
zrA}7>h#Z4n5Zl4PZwYm-DLDHT5^MfWDj}0<_NZA<ht!Hf9Khg+3&$ASs6hl-LSkZ3
z_y8dM=h9a${NJQSH*@msrNL(H5;Xm@U#OK~a__o2TbgQC_XtO4qYGsde4YJeR>+y)
z4{LS12i~nMxEe%`t_OVkIu%oNvLxAl^kNa`pipk~tI*SJ(vD5uI}p68s%7hEy>RFy
zWD<#d3??;L5vDf6iz_m7*rWP?CVC_){jO}<u%Q`1v_*Oh-q_(ywr<SGMDN4b$Yx*z
z)N*;tKAv$q!Ur7&DEKcvC^`4iy`6-!?7PNlT_nwXAltE)soa(lvf0qLl52l&nOE-*
ztmb=$xm|{xs@n{!ONDUx-rQf02%i5!?0%C}udv-t)aIVRb>VReNdBI2;YMg*`Jr15
z9v-#_!Ltu;)<|+<218*7Ro~E%AiQ<+=3rEaFcRz44(K%y7~&X~B*w9Kgr6eC<wDR#
zOGnoZD4iJKa<D9YpP3;BvA7Kt!X!Qo567Dm;jR3cd3jJD)<`ia#4;M9B887t-oMi$
z*Z<zC9%T(hgt4|ge96@C&3;HiTl))(iZ0`hO{hAuzd=Cb#8-L^`MzsU8>d61l~=r}
zDl$E*CV8>U?Q_|Lj7t}cb@yPsl5|Gl<nY1J7=2BP-G2lC4;*H#R(IdgEJn>2EVN!N
z`S**M(PMF_)07Uw)d(RcN$Ig&9P#>~Xs+SXA%qF+ay5a-aN;jfICiWpS^CjjmpN{u
zViXdhq(m!C<uo*BnI0b=W1OU+t-^gkyr-XEmx0Y}6p-_1jIB<tkvML&W>{nWLdhx>
z9ATNQf@X*>tqtT&F!@dbw0mJUGIxi>-wQuKtU>OG&}+r&)eN_wVG{_rFJTduUT=f6
zhVlp^^tESd_U_vU;m`31A0)kwxQ=^VW$_xg|2&{E8!}wjb<4@*5nXz{RL81woJ`E+
zRy|)WU)-LviyL{It1`nfnYXZXROEgQM()7`a1XY%Ya76RH9-m8a9zg5Z+@mpt1mY<
z{-nxs3NtR|p3-+*`4`u(>f+a1i<1P4j9vaoUKGRF1yRKQuoq9W4TB`OV@DiHMChPx
z!}E-G7jD8z1Jq1YbaF(Ka2Z)yLI~+m`xOi+%@#f+r|kIMaH(ZwgKZTNs{tb6Q&D-Z
z+qfSy($w2~1HlNa#`ZcpJ6AX)3Mwn#M3@j?!Ax9`+1IQIsj5-}Sdu>-xRxXxTFpl_
z)mYi0q!D^Eu-Pomx5yn3l~D7zT+w)0By5R_TGCZS(o=lWhV60wy}}URvr{dPv)+}Z
zye^aTcuz9u-@P9e)xqO(DxBm;?45f;48-cb<wH#I62Np{zfC<u)HdG&Ze);E)LHIn
zhYB0sR(!7=QOqyXQ%@n^jcBkXb)7LQj~+R41oeZuMg>PT;DU^N>KML}g1qR;jT^1d
zvRQmo#@R_CpwBp(Nrg3p?MR{8P!Z_|B{I)n8P}dyGad-JK+d&@e{){=d3H$-832ml
z<3Xc9pQUPVKfE^f?|&s7D76!q<nF6FC3&jfXFVb>APsl=PWe9lw-%sIy292@^@9KQ
zfRMIFD2CVNGvCv|{`N?;&B@RsesRZ-D=f0n?#%wOh{5SDgA4gVpiNqN<A9DvMAGAP
ze3x&kxy`n=S0flKX%mNsr-#9EDL7vA*`Wj@0!W_AE7l%z{fh<t`jNjE_~hpJZTdZc
zz%v*Kr4chEv8tK}#fU&oV^;S6cN+7xeDxGkD_l#SP^OdG1StA6anTci4x8}%SZAxQ
z`^@bt>!)PI3fpphW~i0;_|9jg23&&LlboMe!bYE@!OTF59>06(_sfyQ)6%9Wea$ss
z4{Sfr_-)5!3V*$TMiJu`-*A~Q!T7XSsW&&d`x^YYAQ!=AUe@#Pt<mdV6%936ya`~W
z4{TgqX6?>EnrV0sBZBMvdSsiPlHj!jc>4_3TOPY3Sk(Q(`N1q~GpUdW>@ITd6v2bH
zpnxtLhb)p!N}gr)b!4hd4W|&NgR!))yRZU&&uyOP7V#5aC^|*4$@y?nk&dk8IT8qB
z$A_HYGl(LbrKEDaY3r^QeamYUxIx5doTLyehhbBY&ZpT-98juYv~ZUBMff2v+7Ipw
z1Xj>or?K~V7YkA$P#L4_O^*K;%$h~l8XuYWqYl0=W2II+uen>n*sqqn@@8ex+kodn
z*-uK{tkTL(V>ZZ5`4JW~Pl#d<3pyfv8c1g`W=8b!CKCDR$*5~z?b{f~zq<i|(HH*q
zwAohpB+d>Z$KhXF47tPc_Vm#2ll|tnd>U+vpB33WMe*Ps<OIa>nwXn`P>m<T#a#iV
zVC4@61XPBHV?(Um3};cVh?7ZTrhL%McI27vAo6!ql4_he^BANr^6p%i8)!l3O4b*t
zZDeD6`_Lnea&mFr|9}EXh~SD!DEbX@?l+M=H^bXol8+Dai$tXUt-3EVTal_<jgL3r
z`-DP5Gmvj1Fh2MPN~Gc`RGKW`ml`yy0si*{kG_eCiS4F6TsxgMqmm!RAn%zLSR@qB
z%$Ji;=F1j^hO{-@ar~ccWy8e<HNHx7-}&l#mmXEFt&6x648AP9DO=do`L@i$!a}ll
z_2oBj4E$kg0HA~5VWrNUnk321_S%o^e-Fxc^@=aPA`rP||H1S)0X{*E!x-Qf$vz!*
zZ)f_xh{V;eOM=foun5Vyy|Xy{Vn&eF0>|d#n{DLwIEaAz-Uy`4EkMsk;QArZ)jQ#f
zP$4!5OFQPINDi_aH7puZs*oTurLIS^Bt(3?as09Sg_{2)^P3v*x{ayp;?L#XdS7^<
zij~M0V4SMCDVGHC2y9i>r!H~D@t5_m%$^x$nmOrvP%b3*kgezto@W+S@6EiY`nIHD
z03W1|8+ks^aP?fVO)ul~m-2V~W!p>LKFC7|kn^YWizExe<M)g4d=Fj<%}9jprjGl3
zAh||KNpNn{#nqdReeEe$Uikj{`*`=uw}aU$+4n}j-x?TQ>IQX$06CQm)^4b_G+WP6
z^p2C7H9$Z;`79U+Lp@Y(kkjY>Q=Oca<Gn_j{hHpswjd^`mpL7qDn{8GuQdKid+v?h
zCa+|X(PO{CO>SO)b93h90>Wl3(*?-Q^+!+OM=Lcm^y**Bq*d@S)1+Fw(waI8C<mYD
zzI-+s`tg}wH+^wmlldHV^}6rdZ`|b7KXf@Q?PbIop_{y6ITv6!=y>sjK9Kp>Wv3(Y
ze_p<fnw@^juOQIC-x|Uf6h4?N?XAfy$3TAeN?hDi<Equ3Z!BZqeNuidX8K~4#yyu~
z4|`Yc*s-Izt<Bq4c<j$MZ(oXLr+wpFDq-NX{IaI%ky6|yhSuSxJnr9xe!A>b)S%9r
zzI-l~qnbKcpLz!#Oj1!nd3j}76CuVurhic=EK!uyL(Gnfjp6r)DmO%1iayA5zrdko
zHbv)JySi5J+@S)Np6!Jh?WxS<hb@TkE57o4&s@hFcbkNBo0*?Nm10IB=7^(PBz(qR
zsa{B>4`A}9QD*I+mEF+eZF$fV9Od%_GGvu}gy+rSY3ClMvNKt6(^ndaaJhz$ueMys
zmqQ&bwi#J_j$BCHvui*;>?Mn9UE`nM)rTtY4;kQx-#kA+eziylk@t;0k~$j5)cT`7
zVCFt&0OR+aVJB|UU3MH;!moUK_xI}i`WLN5@w{VZ%PCsYuhxJWd6z-)ffd#P_uaG)
zAC&TSZ1UNPN49+U`_+S<)A>Is)Il#p|C+rVp8kC?<j^^N8ZyZS(aXf@+8rnJcY1ma
zZ5=qpsV*3HBQ}Nib@b*fs$!!*y^a+BHQPi{j{MN={LOx-PRHxr+hVeVbB--1%@X0i
z4JvIN1uoki{WUayv2CMc)3A0@U-ut|TH}EW(yr1)&9+;Pzu)(%=wGjyPZHBN;)4-$
zvr5LseINXLf~?;CSoyQ&F_o*gr%lhJi)|j=3Tj!AAhQQm9hn!RQXX@fQ8}^%W&V6X
ze({((S=Bk8)<BvPbe#FQIGuNL_e*<=K8}jLeW!zxS?W(l_AgxrS}{sjDk-a0&anT(
z%9y`q)e}K8>K<`ZeFv9yS&RGd90t+rt5uPT@zThiE4=Q{n#k&$*Pf<nr@u3(JfBS+
ztat8BUKgJ#`|uNz17#n7KB(;N`R;4w)$-PJ`4meaFJllbOB8}{dxZA#>VLoHxW@0P
zt)JBe!#$7bHu`5Jy`A`KlKV8<r{h_}Ub%Cr>sFptbE3AlIf#*Q{`{Jdg8z(6e2y?#
zJu+slC1UGr7zaL?YzuzE#Q%ZuXHASI+sj0A;p|H`ZCkH4^d2g&>B;bzlnMLBXl41R
z@WJTPOn?4%d$Z+>D;633J+ASHxsHC@EukGM<Fq#-QwqNQNiHlrYriz3cD2vNx;Rp5
zEQRrYbxG5K0@fr&pD#LJA9pcOof`O1Yj*CC@9HuMW|_~q%6?==Y!f2Tr{UHG5ZyOr
zzBayMKT+Yz@FZ-@>*ue|94=SztRB(=54!cYwz}V{kd<}AM0&VCrh52s*Tr*+wYtpa
zEUqQoixmSl-(2Rp_K;_6Q8=2y8w`H%;{A1k`!=i)3w}Zu;&FRgW0=W*`stIq0|5=|
zs&pqcUpj6(AxFPnI=q2(Rs8k(7>&fRP~Xax*bR(%JJ&puDLOPDVAr#Aci-1?%NepA
zG!^0q_v?JKy}6^2zUs2=&nJl<zP6IzlAKwX_SDy((Y(o6NV86u&FZ$+7N5^^I~)%b
zCYTw??Y;D&o2e&wQ~C54?rwV5Yu)V}MuBZ)N9)OPlH8$FjIZ%}o6^X_UdLLI{b^@~
z8m1rDc8slZc|(7E^lF>!Io3<;Jz5oS`~8#zHK^TQHE=Zi%&1kTS(?y$_L=b9oxIDU
zo;T5lNenKd`JH}4Xegb!#NVL%Tas7aXD@7+PK}h*=+2Pap{Sv5n`~G6pzXcQld#Zl
zwE;9Yii*#i@rbkRFD6f<+3!jYxK2)>RfSav)wbDMy6mESJ<(4n=Ctbq0*c1+b>aed
zeXN*{>QXCa)z#FqxZWR8t=;RqTATd*nBZL^IF$*jO1MTnS7f(-C8y1ehPu6MMuI=K
z3l%zwL59)6`JOG?@Cog@fm3!@GjH!Wre(BzzL`1!5z1jpHIeM6Q@8G+5##t}tt#nN
zzrypEsn{bH=Bq6m#SY${X0SHxJaCsR9>X0+yOc<9)i236l)@IJx7H@=+FM{TOJ2S_
z##<#MCigiu>F77742rikm+IS3Joj|wIk%ctC+j$G-=qG9>clF~Z$DU1d93bJ-c{fE
zy1zW2{N!85LPlRU=|<a_1;1B5z2+Ve;-0#zFQUT&XNc?6ODBAJT7E}Ki=w@duAK_Q
z+;t6$+#A2It8a6x%oFNze<-)3Q5hwKpQHTZMT`-V`&KRN8@M}PE7z!OR^{t<)WU~V
zEunS(?w6XmF$KAp*Hw|0Bdo@fUnk#(yNK84uk(Fq);MX@8g4Gm^fJxm_`}|*n#1ju
z>-qGWIKMeTGwbQOZK1e2=aZ8E?4AB&_b2F`wb^sKwa3i*zIN}_RM5X>+ySVld&jCw
zk>UF<Rd8Q+w?Rn;xKv4r+2^S+?U}0S^9wbTpX2q1?x}#2YwYdqeQP5u^cJwi?dQk5
zd^tP!7G8VPnZ1I1p4Rb~BIE`k<DKb#kX*dW{}^9+oJ<$_Q-a?v#{$dWb?-(Pf&KpV
z16+S@uJ&<((2siso09H(U%^N1y~9dM{FymsN3YWMZfPkmvR~YHEcX78Zca{pLDF3l
zPQD_g;v|ie%TWH!@#}Ft2<~@)G(!Uy%e6Co9LvyKQczjNe?V_%7E$R*Xnj&8OJE0x
z<N)SpLCZ!Vg!}x<rTNv8)!*5XNEx14ghtcSZ;+0dLJbWLJ^?MGp{-5YO6_#%ib9?_
z(_ORppyg$tOnTg%>T|*>4zzpiXn0y3((e!Dgu|Ly1yMFK_2I8N1yvBVKsQ;B6b5?8
zTWG1I42}aiJ2f$L=qj*i-5RTW9@?>lwB2%YNih1^0Z1KDGvL%?;16~JRD=T%5wOC|
zIcNTn@z!H0rBVfIE22tQo}$uuwmXHVOQvFNjj_ZZ5HcneCj|hb2_mV51`f^`DosDu
zTl$^D8#R>x4F-M32%h*z#7O{eaK~B&0Q)nj8mJ~?fO)=#>2s3`YRbeQ;*A*r$xdJc
z*bYUMNbGX-T(M#WgvLLwj~z|Ca-+UG|MG$8P&Qvi>GN!UIcA4_Q=EDq|9<xaV5#57
z2q7noap>3=j2|kW3(E`j#@-$McH-kdsthQ68t(l+P-Wb7j`l*L2OfD>5O|mGQy<a*
zi_T7+UAh5-GjN=A92UVZuggTv&yS6|Vj(*sb?KRaTFK6iaBWcB3K0VJ?p>o+e^KY}
z0mpgot1c=Dnx2uK-X*o_cCmg)B@>hauDxZ?-`X6#4_OJ}cbKM@#tUl*=YJm+>S%I7
zdMrIfKGT9QT;s?QhD+}TY8K}tk#gk<9Lwz_87eCqF=iqY4NbNX<`QpeNPeky$<C-l
zS9dq@H_INC-z>%QH<Y%Fz8o_~Sp)__WZPlz$lBrjMi?c{hah$FsGdu-OM~pY1YT)a
z3Z6bbBhVNC>XQZ=)uaN#K0_->0<7&#;LWguBsx~;No}D$h*^LzLkq@p$ig`7e&G!W
z$BS@3=H<`G&t$DPx3*S&^_f|^k~5pdaqnNrNx;LsF?N3XU;8|0?P|?3g}kWUdgZKo
z&p^ZY7J{76u?nPvTr<`AZ=T=Mytw8wN(K2a6rW4nKpng(wAy5+o!O#%`p-`2!A-;j
zzPVNPzd(%c1W5K?(_2?r;vP6AS)ZBU4=NA{jL2GZZEfv{)NU}Qq_`BgoW5;M$=I1p
z#rSof(-yxAO;&u~2o3Ut$x_>nm#<JTi<-%oSdcAIKb=1cyO~2hPo%g!t;o-z$Vos_
z1`TB(=@@pq@~Ah`RSN6}TcZ{<)!o^xPH~5*g_k{<qT>GO^kLH2Vw&Y6sg68&Z`U|h
z`Wt{}9ZMc5y8_ptM4&Zh4I7>}1S&E-`-CsN*N;FaB4Th1!))ZzP`E2e!a@_OWB;*x
zSv(_TT2LIWGC#c!%(d~SVu$MWBc1n3-7sPfAM2OAd(sqrE|JYudR(7~nUF+@82pTs
z5bW*la8ZWXtfZpj0P_)!cmA9!H*?l*F4wKty>w{E=#S+!8JBgEHS^m+j#A(pMU5(m
zWqlI-&J=!d!!GTm^0z2Ee^883+;TDSnH(4zBJLAT?dfzlJDxs$N+bN|G1KbRj%aCx
z=bWjfSxq6WDWJL?5q7~kA_AuZi>mFg>}vW0?mO|IV2<7}lV`>Ai#m3G^Yi}n8$z<E
zl<3z7N4l9a@9q55b~w|m>Qm_isJ6sEDcSKkDu&yO<2s!MWM$VuLj$!*6SjNv^XGJ%
z6%-&Cc*hF6NeG+lINiYw6G*Lvk&$r#`U7ff2n0&qdJ{2fL*wJEK(=^lE`hF!hI$38
zwNuBP6`&>QE`^Q4Jy9y~hwJ?OJkP!$uahTR#P0*|Cxko|4Sf*|>?oH0BMIzJ=_LO{
z)stlSb9PL}@+SPtKM}TL%a*|s$!tgi(g^s;)!o^s+f_!e<%jMT5I&5)uU5i<AS#H#
zxrjmp+l>KVZi{w}fKP!*K^&?olTdd+!ij{x?-P%GSHHI=g@3EvRr`<|2}693=)BXv
zT+LGNn{vDV7Mu**(wx;&1At_-$co9hcp8To5$K=@BozB%7WN?2`)l?{T0ZL04eNJz
zgr=Po5(g8(EOcFv_H5XFMj0@#=X}i^+NQ<9!(ayrGw=lUPznd9-+qp{XNG(X@|kn+
z`}&3g5&1L0!ntjq)6S+s5;Waq?lA+vfNC0j9%p0E&Oc?dni&CAlR)&ug;q7K67NZ^
zOlkhdmH^3?Tz&suK<~fCt(G+5mWY}Q7}3R{^7{Vq*MbBgb1AI;B%F~~3Bdk3!2<~<
zhN}Ju;$~!f_Pgz3iKQ~C53IDWiWOH}i5{e(S#5Jd^~7!ZBQH+no-Pb$gsqt))CB_X
zFM@Qsnw)Gh8Mqd@Ishn;v<btrUK|$&%9=OCM9xQ|dtVz+&zIPwtzx;TdH4SE>fFN*
zXR7+VEORf=76XlDNSAvyuHy5oZhBiCtKD?^mmPhXW;7@G+<Nyr@9nj`e~bkULP=c=
z5UMn^hBPpJt9ftMusQS$G>46x(1t?4=K#wh?KG7X6!J*>&)VNToYI1mmOKz7X*T#v
zh@_ISy~$|861NctHPm!sr~iE4f)gGy0fM~=tOOAEbZ~qmK0wPnOE}Z4;*sBjQzKcy
zOAtrZM>yEf4xoxU2>nsekKqC!(N|Cisr(*Zv-qoNccSShB3gkD!pij${OCgyjJqx2
zAcv#{ee&+JD%^7J@YT9<{dx;*)1G3(@b<Rm1Oj4j$=m1e^AlF0w#D%QR_YMdJE64W
z-r2O=2s;#sIk-atNDh7C)DVi@IE~gUDcCfZlas&v+AdKjLEdEd?zH-PHJFAH?Sp9F
zdtVdt4}jftWw}o?ms9zQcuG%saaY;N8q9E(Uo!jlS#yFo*-M83z?|Yy@{Pg|qZVou
zWeE^`NE56Te7{#8Lw|*rqoVKEXAqYVhd%Uk*#aR4glLnG|GLAe_ZqZ%pbKD`c@y<i
zgtSL#(Gk!^zYt$FKp_$iVgmna3q=diOPc-FPq0IW0MLH|sN0sh>jtT*KruzU>8FM}
zCvn%nNRej$uHOx7-h6CDAn=rP-%w*x>|z1HW5}FD=T3`^SHq!I<o;ol!8o|%oKI0=
zs6D&TeU^0Qkal{tncVd#Q5yZV<@TeW-w;4GIzK1@<ch6Q{_Ta5==>?U=yzS9tWUkH
z%V2y!#hp-*EtePdcC%dDutO_Ty+DhdR%T2^=VRk2Y3N^5!GobpN*g4V|G+s0KU9jN
zi=<1$PeD=9NZ{DFz8q*UwmO{<I9YM=)~(IxBN~43A_F)~$+^=LP!f_>4i!_Uot%Vm
z;foi$W4LZY2UcH+Z-xk_@OzfnmK&8mcCydfwuUt^|BAHUccNlCLT6EjPDz43HI_Wr
zBYIJ$iT5G>Dur*P-<7$j_o~2t6i6;PkCf-$=%d~}3}xXru{`1fZ|dbZ8<=`@0xgFD
zoDcJBI1uq|*>VmAP$$7GUA=a#88^~-JS3=OQV9nRR2H<4pP&4H)Ig!v&Hq^gb!qqf
z;A&73GcS~;q|nR*hn(aMH7AHyP!B>ZGr^o6#Fhm0=a6XnPU<Rpi!@#II^L@DeLVf&
z0y{>+)?tbFO#IkBzWDdU(&IM8`1PLw$AS#Vdo!J$8@*4h;FpS(hQAMS&!mv39;23P
zP@yU@T6MNeW=U17oO{q_8`t6EO$K6D);<-<>Ngkop^>l)P65;qh{3An5Ejo{SOg=V
z+A1rX2pAbk)m9wbFnAcj+9UC(m|1B!5N8Cjr1}UVE=lkSq_Z$^bcE`xY^1o0Od%Rx
zg1La7$}|jUUSUtb4`i@aeG^8H6(pZosgo)$YXx{<et?hdHHX9>4_V+e!(W;tfp%JG
zMIzGKxc^Su&va;S9lA8s3QRtTZY!L`g(OEI@%*Vi&jXn)0z2kPIgL0^?B`_k(|vPH
z^!qjOq76?A6O@k6&20ZYcdlG?(l5e%B2WO6*|ae*3Lgeip$?M|o5)XiGBM8^Eyx6T
zGuHR@_d{=+pTRJO6Ib*U=NQWPH2c<=Tt~=#^r+_IF+Jsq^6b1#2`xh|%?fT8_^asF
zM^1Bw(eK$}tZ7Zf%vX2V?pHyFP=TONvs;MG9*0<fv)>+0fW*|tWs5GdHB|ebUWJ=r
zr|8D4_#7_7tM#((eaX1@n@%D+GI<=Nur4wbbo4aXSajrc`tZ1V=;>43!q5Z9qm2z3
z#1IQvQ+y)@!ZtX8DoRjGIzuFkCssmFqm8%$`BhX>@x+K38<Asu>?wrEE9PvVzdyVI
zb=<ERi^5*EepfLl6H-6~!Za1PYrN?{Q3Gade(A@gvT~!>(xzX3Q@`?|&Gm(Kox)rJ
zI{71)ogH)yM4uH4v6-C-c*n8ed^{(swLSXXV*?%MZJM3iG)C+@_H`DAZnQGz7P)#g
z^v+xRYu8>*t==xQwf6#l+{i*@L50N2?LWWyr&c(mzU+H>`UAqyU%06?1sK*#TGk_)
zodM^NoLBf|N4D@PuL3WJwu(=uJa!z=H`FQWvT|c6^0{Pm-Gxbt`r+Bmvs}Td6qnH1
zK*nQ^Hcw)t$BYtIA7vr=VthR|ClBbLof3gCk48nQj^-c&cc@uH^q64E)o4}i=IZ(i
zeM*Vek1Qu_%jnqKnORvGFzbYe)pmu$ID=oI0tvxOLl58R;NUs*+)9pOHZA#(9UaZ$
zt!NSIV3dHf8tKrL%a?UTX0+g&iroV1E02=L=`OnM3fH_ICrE$p!xeAd*-B|2w@)d2
zx7vD%BVYTzNc|4hC>r!%bD_E=;&jdMe1gk@Vaf&zep%Tv?px#)%BIMz0e_MK#7&Lh
z^@(Y5-y{Du$duMW7Z8ES6_t}TwG-S6R~P8D#!yoUGzLV0)hBs`cs#<Le|#Q7;G7O0
zcENGjvmD)Z+Lnbrk45JIg(o8XvN8ML^i9Finl@L3<weh}8WAXEqNh}CT`+habIXJd
z4P@;&3=*!IbWMcmK5SLAL}ftk(N%2yH=H$W_4W199Lt`kbQr^mg}MtJcp^}GOd19^
zp3{L6!#>DrX6ts+VU7p%`U)F#9(o1!A-|v?*I7@kLx=XeyGtMj55u)gdf=eo@+sCf
z$tl2BZfF(%eNf9Y?ee9TJc$M?TBII(p#rP;Y}u}0z~P9`8W<kF0FpdG(-ySedBn(i
zH9AJ$HyCgnAg0OPZ*Pw4zU~eRiEW`RVykV`2+YinW>McKwUMcM?XC6ad`@qi#$B{B
zp!&VvR<F4+!yy^S?>uI9FMZoR{rx*FC2o@xa;ivdMox2U)CN%~Xz+8w+q)iNmB+j`
zU<7QZV7P+NtlssV6^FT9P`xXXBSATFfpO!RrF=Yi4#b~N-@o4oJHTxT_3L8QgHG`l
zelaufK8#hLkm})(^R2J-{*wbEG(9V=J$k78HL{ux($P}+(FZeH8@9*F&KcVMwS=33
z6pG*=dSF3^0xAj)&U2(s9=hBe(9^p*qh7;zM0tkx>%;_NEGug~ieT@V-y`cu{Ij-f
z-C7O~Yt%O-E8KUs*fhCc?ZS47Jng`%rCuSg**qzZT6xOLAzwaGr_Dp$@%5GcQe$Ot
zacf?r>_~}GLIY{!wViq@Y=(L7=zT>tej%=8J^SB1<omZ40Pfic%PtaAA9T(0qd}1E
zezelN`PYGys0%K7`0xO3NTjeH^ZOK$fRToL7$jCUtO7o?c*MSViVY(Lhi<a2ag!iR
z%KkocrKN?|{h`R()yF6lh+UqL!bl5x_tm~}H*ZEkYy^e>YAA=C`YUD7Jl$%r!q|J&
z+J@0DU&0Z(+o6(|*m}btO$WX%z?NX6RMOUTdP*iHu=<5z#ivfUp%V!_qgjas-;85j
zzJH;9Ql(QK<mlBImRhhC7W0cRnWHY>#pE3nq>S+lK^#gTti~&XLqkKbM0H1Y0^0p)
zV<SBj!+WqVqUE*#C)<xq8PXpnwkJ6Ai&43ZFp=4~;OG<7FkD8>hmeqv_tg9TywM#Z
zB5Npld3jMZd#E0s9p3id_h(5;3NJz5pa<H5fe)zOsF<<}oMj{Q+a{le9<Q~Cy!2w!
z^5sL3&zAjN${C9$pR;7u|7<%edW$!>duMI4(v3*2j%WGN6M>mvl%3v|2q0>A<ausZ
z*lpKvX>H@5<Ezl0ju`PH%SV@h8#4?Eh$@J=6_I8iG8=>@|1!q+&K-XE%yQxYxqwdf
zs3&*Oa|f~lNKCUjXPn`N169uE4&#aF@A^aESWc|p%o)5c*mBz!3g>1PyUjbgCjJ;d
zEJQ`Ra}_#80(6W7P`p=-b^Urro;_E>oh={C*ZoF94wv&)ByL7m2a+qpPeC}7G>IgI
z%rP-B#Md2GS7D?>*7U#=plafztARB-$oEtSJ}iEO_?Pr~M}Y;&6o`dA(m}-3JVr)F
zM58@0I7o%41}lzqLJ;*DyK<EbItsF)kyK_B6)ktMfCL6Np*tjKRD13@4E%8NYk&ee
z0^R<|^KnJfBQur!*%u3UX>v>YuS#f8Kmj`xI5tpVpbL28VmaIzw|Tvb4UB&J;lomD
z!TpMEWpVN6Ur$ape17_7KZT9Lw>Kj*NtN}EZnE%sql8Bf4g=Y00M14F8<4(nu%&K7
zr4B6SP$fi=j-Ge#(gCA!qVMJ7#Xm048{GE)_K9e#NZ*F_RzdA1me|uoHx`8A77U0S
zl30>hDSvC*@ycmu_@ztRRaT`TUHP0ESkQ6YhP?W}9M$(_y}k|I*)JG-60`E5trn*w
zS0g3^q6Htjo$nth$jfi$=dbVSFw;ZzT1)l1hVd4~ER;Eac>Vi&;A8{M&CYn4Gh<xA
znUut^iMYc7p__%Z>8Ev~H<l;vESp-3RZiMNB6|(RQG(1O7E(FHx^~znhJSkh;#?x_
zKv3D1EM-FtXy_8aVpKV^q0g(7|Mfv+?=msLy@(h|n2!1-n|q^s*NK?~<9dl#?1EB9
zYgej&jVwd9Sf790G4;~Yjuq5fl4(Q7c3loFa__FGw3rPn?SXs13`z`a00N#kb?RbB
zNJ#T8KDN$0z1Uj~jg2w7nx_p*3bQJZ!r9o_*>%)VQ&9OKx6|W&pZrn}y8o?0kcuUV
zViNK;xC}E}TAx2}Kv4J!iuAY}#%xb8hq!DpNC5`NS(9gRX1xsU0^DU{Zv5f3)<}v{
zFw@K1>GJ1#w>H4yn++h(e#jF=s_B2SH!U3foO4sl5Zhf<tx*Lp+ME05eK=z~|6D`b
zt_e@!x&x;6)>+7^M_=8h!I`g{`P1RpvAUL)mS4g~#W;~_!Dsx+ym{?f1h%N^HoANx
zQh^e;E#VT5`~eUfCy?-OsNJh}8D4Ve%Ygz2qtP9bh1vr@cmjU>_~Gzk&Cyi+IW#A=
zxTFA_CN%23e?ZZhROo;CJJF!M!q{-{UTPc)z62XK<o+=iGax)_lY3&~>}f;ik-+X4
zv@UViytf0%^tp@-yM*_>J&%pQ2ke5C_XSM(cSzth<$gIN_zc$3^;P<;gd|;3MqI;9
z2@*@yGiMeVaJ#VmoL#&;HB7}~ed_ap7R7Tvwexxr+M-vABDAb#&abjt`d;p0(X}(q
z*KjpNY5zya$dZ-)x2wR(98S8A)MF2@>^r>_a<&kEk2Gr#Z%(>&LR#1AdONFf{7hU=
z<(D&8dvXSTYWDlqXt-L`2MShhnp;Q>dv;Z<tA<}%nhmgCBT|B2P086@{kVv5F98Q#
zy~f1Z;8*otmbK%uY*)5LM*sOdF=1gBlEx}?3^63moyVC^H|O}wTiy=4<Z~nZnL!BW
zD4IZ#FD?ebf0<<)cu4)b8GJxSpGq;nzz3Z4x<j7m`Em4d(Ay3h9k+H98s9@(WMhIS
zQj#q6!`<|=mBt%htY~?^qR5S@xMtP!+nI?mmFh)DtTG(mDx7g<ow^nt?reMyEU}M?
zTB8{sC!d#a<|=c=u)u~TbD6x)J(l!YWxQ{uW`sO{Uu<o$zWi>L>c-W)Vv`o96CR{Q
zs+uZ^WV&ii@dpTVZq}i8x)rZZ*`s<w)Gk&%<M*Aip#lv^;EX3GCQN^>pe(-ZpfV78
zzoUI2=jG3xYKiuXQQh$LK6=3@uW;SR&9p}-2Wh6G85eEx_qAOg6e%qG$QYei%$m3E
zmZ{+f(OUiS`S>!yk8rW)b7oAgXV(qcJ`y<U>QMWV@|Eh#=Ay8@w}tCfi_AG5n@{By
zbb0gKmj3Ae$|j#(S(GWg?Qfv@tNP$$t<(mphlpjbnt_#cgg`pIkbRBzdKRN?(!aU0
zjDw#|xN{iqw~?a_?CsqmQFma}St@ala9+rHURv3;Uqz^SUcRV{Q)(1GeW+m{`HT<b
zGr|t2g{s+Y;s}dRk{8({6#Rg4jcdT1W?GzSdZF@)NLA(26-t{YeCS;b&Yu%LYvA`Z
z#qBKRmB?oGQO|*IHe<FvP0OE^w){NDTTXSnYhn6Kk<XYNt!LJ}trM(r<?)zyG%bJn
z-kPSJY+|A34HcT_?rYx8rySWg%^duRQm}9E7PT$Y%9;MgL6Hjek6STBIYP@rw3bU?
zE8VZgD2x5u+K!Ir8g+VWKauWWQ*_naV+B_?SqHU0b!#=z49tCf?y={u^l6WX4jiXi
zWUgIzUW>Y3c(Xbao8cPqCcLYf&xSY?KId0^f3(s&O(&iFn<2uXI{osX6)lI*Wf}1k
zRVE5bHU)Ynw3L&7J!W1U+$~e^=%;qnx&z!#;+Xun9$KBHzQu5YYfltKTBg4SrZeH$
z64vZmYAo-x%#NGs1n<BLJ+tt#Tgm)tbH+0!OYSryIcKG^R|_A-YmJ1xL-!uMQ)uS+
zBhaqi;?lGuRjLuwBIO;`Go#uXx^QXEqEn}X70tccp+jXer6&(Mz4vj_qSSzuaE3>o
zo^bHypnOTAE+Z{hjdQ&XU2iw6WMRskavVz=;2h0v9~xC!IDV1Z$!NBHh>yG8j8B(z
z_0DnEwvEWvWsJDGn(`=Y>BqiKQI<ssdV4BAhCMf(q#XKn=BgUb=Lxcz6(1H+i)CLp
z&M^4HziH@2Miadf&%1$)S#cf_JdbVynOXJ0!;zmgD3&^`0`eorFP>pj(Ol0i5KHrm
zJ$NO@-Ti+=yy!!6<SaWhU(Zu3>!$B^lgvD^^86;ca9t+p)ZJTD`1WoP;}s<z=RjsQ
zgN<Fhe~bKzTRPj6E4z#>B;KzpGrs=Cb>=a98+}ppi&c{O-*pudBg;Nr*dKAxQflDv
z*>{dqrBs*cL*?n}!&kLmdHQCpR+9!<#p`gyyve4WN-|EUn>)DsL1x=T`^Q4samui$
zb%)t*pQ6Nlc|ND+vgT+83`%zA=WmqGO*Pz*7!!v{WF&JK9UY$IO3B*xLBmB<G>-<0
z@@JmeM-P{P-1K)VUX}2b+NLDO3Qd;2Qehd8rce)XOn%Su**P#!LNT;%--8Cz+3mLY
z7=v|eYq_G6Xib<0ZaxXti1uu`t|9%=S^q-Tq;kMKbMPw4EXRrR^4$~fZp$B!xROGC
z&~y0*&yi{L?xEaT9UPt~7F22%)nP6#7FjXgKD32m#&|i0<BZOpsEs{mck7d;M{I^+
z8e%Zwq<$EgaDRs-&2$+>h(k)D<H&;ZXt@|!%Q7xusRDOrH!#)~*q=2MbqT8Zv|;XI
zrXAW?q=$vzhp$|ljB<a(7Q8<A_m#)LqGH<@je9JQr{7ntVb}jXzap4Q;Lq!0j)PW8
zjoEu6>Cv%KZH^1eGF^mGNkTSk=c6r59!#tmqI;iV%f9XK?A)*aGvbE2&2-9Q>0`=9
z%H`bPw5WySr#n~tGe>hP$qxszRvt-ZWqC|_#Z>zh6V==y-AN|qH2oegO84y(I#kl3
zp}%5wGeR%AyiC~oGa}kQI*I;bt!1Y4=3kO>d43|neYAWmWc#1jiyMO7nios;!n1w0
z8kYU@Zk3^UxAxOai<V&`G%D+BEi<IN@(bS`A59)hN0q7&3;n*Tk}?Nw9-cGj9J@JE
z?w=~#>0f%#^r4UX;l2~ScDc?<hjTWdL)#l)t)@L{YAiJ5xt*oXq{;W14)O{l3)HGO
zNu4HJCvzxAtJG{_6(!^OTe%}&t#!C|Hso`~Tyl=YjX9-&xivE}SEOLPt-XR<sHaal
z#ebzOT19_zMRa0!_n#b@#F%^u=x_I-I7f_^zB3(Y;>}%wT^%;)MnIEZ>`lS1Z^rU{
zmBYA;lE?NW=d$qcraRRgT^*ie4ajg{dxz(|#Z@EOaim(}yeeg5S@Dx=ubfug_dZHa
zJQgbQ@LVM?tawXA_8y_+?k^JIH+yWCiv~Pw?F%+!$%b4qcSx{iWd34{`+Q%9y@;Cp
zGZymKyU4~cSlRU_w|p<lqqRl4!7ulvdv113^Dg=4)8|;or<;{D8;=ys=@-@pt1z9A
zHW}P~`>z1s*YX|{MOmCd>3`1ae`RIsEO|y*yXkhqW8;;qt3nx1E2iEkv$}hFvM|O}
zv8)mRGZi%bjcBza&a0W<3s<y%HMs`!SNq|^CXn0P-Iq{SK#EO<fH~{{gBc1Kvn_A-
zgWnJf06?y!UAuO*qmMb!wA$BH#p>&!z5R7L56gtt<SdkRMetD)%(y8t^1J@ohud#e
zF}ibdtYSFO+L2V+@us7=lMWu_O-SO!c^gjykmW8l%YXY9MO0OONG;mIEfWVf@CInB
zwF$cI<9&{hij(ZY#?6hz#l?l-45U?DU0oYDB@lcA>7<>PpMN{Pt_E5G;@XSwD(s21
zl)?+7XsBE;9~0pFWJQa|Lr7q)W^f{2n<?Td_m;l`TXveI7JDC*QO)g~M6pX$@(_w;
zi8~S>-`V+@iwOS`E36>vhU5GF7O`z`X!{;;`rceXwIz@wqshPCiYZ9=k}ZgYL_kEO
z<!d=`WPX?^+oLH`jW}d3jU$jMqjRE`_7BtQfCs2;P(uUBSj{0HAD;w31vm1P0={QE
z?c{>)=SH(9sCYNuuOld4XUjKg&BOJV!(xu*Cw6F?De`YKs(w28ZRe-<r8@-T7&$)r
zN=zf`^%gW3gl7VXAJSbe7Ghn>9&hiRmENP&D8wkQsv1IyLq~xho-N9T1RdZFFaX^J
zJ%wPA2$Bx~cpQK?H}V}$^R?^YJBDPpmh`LZEo*?#g3@=U6xrGaAV3$9p+hPm4e<=T
z><mqgfpG!8eICf5EvAVQjIKPa=;|ZgXnfLCjU+1|E*pjw!6I>^NNcTSF02*c(Y6{T
z8o4{)mjK^k07q93Wq`<{4hdw#!zb5qiD&FfA2vG}e{^-f<QlFPZ)HQb2)fO;Z{NNO
z<v4L(AcX`-(csW<_Rs4yd&JMSQk?t>3a0QkA4W+=3EF)T`93O*FNGgONv^z-5^+A@
zS5h)ZRi!=Zx<EAmMml;0@A?ctAR(Y(qP8CD<akuK|3*rG$ExNGMClkRCJI=8071jg
zK&sZGUnfW$1Dk7nndY_`>FK10xyY&CC}d}+%=XyDHp4H`9s_eVDarAq8=y&kRN&r)
zH92XZUSD4y4x(Q9M~_`Xqo|&*R$ll)KfiL!NivTk3=3vK+ay1NQJ;I4qe+zbKS6zT
zZR8Sb(ko%pwd?|aE(=GnL?%ik#*Cin*J2MuM}whCr0W`>jMWOeTakx0SW9uPxdU&D
z7C<s10JA<qm!-{<b?Am5vgEaFSHLalVH%0$APQDV;{ei83GRug`l<=f&(9~WXtRJG
zBcE7bM!|L5ooOKcI~un`J>!q^V-Yd^J7ckHBEyfCpHO`d@@#{$UlCA*OOcV0u;FVd
zug34Ob#V~|vhwlE7h!bC+m0oJwx4R5GneAi>I=*t9)@n@P|Rx_CD#;va++OGX=JFl
ziDWSb{ql;^Y`VOqW2OmI0}c0dXDjGUGS|=Z@QCMrb(?9_+>~H9`pbDA!OLMhGE{;_
zjig2$y9g;D1Je3n^$b;{$<_`IbQFMsO(=Ck<;P)iHbAG)2r7_{LRvZE<)^=7#9rsg
z0zE-kL&6;m#2rz2f~>DS-&_vt6C;Yww@-Ehm>;U)<>3LuXJT{B&=6=WHX2cx0WsJ@
z7)98WeZ(551N|(Gj1x0Tp{$d%i~`SDQ8(Li=^-B|2Q|!+cGsa)<+op{GO*a4SN=sO
zn@*eYg*VN<2d3}nC1=v=GciqjeL1tD$ouF6P`PW-r>=1X14@dtNQ*;)O#t}(I6Kn%
z3(U>HmoH9z9)O3)zp$=ZL&Lzp06v|wcH&L}ly_(wQ4b44Pk_$gG^w%X>tPlkWnD|*
z*%iP6X#;61fQp=RP=Rb{?Q~lFo3QQFpLQdIV}`td<<PeaeZ*u7Tp)INAN1`IjzZYq
z7~XqS@=^SVswx!<KF*`tL%OpnVro+gxvLZ<5QKK&<~7>0o^nxbuxdc~Ew}HUcjk&^
z*YCU@Edp&xsRe6T4BZtJHLI`-&!NR3nrKicWO_h?Mn$~4r5a-G;SmdV5(Mx2<Te&w
zMUD*{HuS&;QjHd^Xn@=je}oe#?;xTb6vYwv5EduecW-PvvfqI^I66AIIau@Gc<xak
zN^%5j!(Q1CcM1&*;i-srgQKZtr&{CSEC-wyZ$?Z^2@r;ZTna`-aSNypBy7tVW?aXu
z7!ea<CYtp;0xC~*PfGA>p4|6SOKrfn_<^_fr)=l69)^v6d+-qCkl4u;jYqd61w+}{
z2ccBt2jD!5gGEzE=Q4Cc5f?9B#BYRk3sxIlF!s`uJAFWMBQr8G081Wrb#=8z0|4Sg
zqnL6Sz_VmoSs5_}1m774_&{B4vA3zTJQgPiK9IP`*P%298lAPCCr(@@d;FhHX~ayV
z_-0ko**~K~u)2usdHYraq96e1`^iJW=5FVteiw(5fZ@8r+}vD>)MI$`h@qx22}2Th
zl5i^}R?Xc2!bJZvM)wGzDKNgI_KW@?F$llrEDmdf=`;Qv9nyw(MKoM-dugDhh@SHT
zOq~vW+H>geVc8cOs(??Ux^LV4M<3Y&Vf^S^^4?nN8Q?7th>u&mUM3pfeKzsiF7nc)
zHVG|snFF#ug1N|47c7WHCc~x+0qbj7RyG+Uo4<GBEJH>pK~zEay6q;zY{n`xheRTc
za{Hkjk*&l!mhp{(J`^?#t57l32-ZCcjxgOl#m|&Mr^`cGg5D&4FICmlI?tcR?K)O0
zLnX4M<H+xQQtN8b<nJhBL}K??>(<6j@&5*El55!!4C;_zkSqA$*#}!iS6WaWF+4GU
z@j`wLyTDU1USqd!KYldgh9D{`t&1>URg<|u5(t`NyQs>wqgjgu%zm`BY?LL&=&Llh
z8HU-kn$+=41{UP~WTaeZ4D{}#UB5%CLS4$f>oAF#X8zW{?I<Q|u3wTIjVy1>&aUl#
zv8p=0PE6oeWHtTg^BMN+YVx(K@GYI@kFIRtbEdsJxkfH?S}v27X`o2&*SMLLPr9t#
zE9VDFU%!4;S5msKS}qNX*gZx@>kg1UPR>syIneRX-Z_3=gGP+*mDP%}a4HYARr<!x
zLp{JD3q>-==7Y)%c3{w`#d&Ek3e3x+aC<=5-;7F&;=S$(J=>!Sl|7lJ*!l=YTL=Q>
ze5WoZGJ25y?j>tB3O6Nk&ex<8+>`k~@#^gIw+xd!wl3%qJ<F#{n-2xkjRzI4(2U5m
zBgjN0H_j41YKrzdQMdg3Vx4Ul7*FUiC*N1uvtT`1PFA2M$?4Pt?@q=QaIvhT;k+Bn
znX<9ao%8OZ-9O(zS-wqTltOl&rXA1~4q|ySe{lC)Zsrhq$i`?)4O@aJK_nFH9#OBO
zcFGF&2?+h!^*1LsF(w+nfJ<ok1MU?K*=A@R(DB?ZdY+}Iu6H~v=Yu#eH%44Wf(*nn
z*M`@#6cgd|iG086tZU7=!|sj$>jRciIRgh^31y}`wAr4RQ?5tsy(2z7x%4N;;GfxN
zS$@w-N1MRRh!<Qt66%gp$~33%HFBjD_^U72jFMhd**43s`g1}cf2X)ueJdX$gEgIX
zf@Q2gP+KzoK4<wea%627?p%8kyng@mcFKCTpxYcO!*7)TYk}!LxRJg#@DSBq;Q<-S
zYLNk#5c*98+&MA-%t+3M<xLj7qEEu;`E{F8#!pm!%;z`lAH4s=w`c8OhIe8Nff~pD
zxuHeR|7@jXK5=DKr#h&AUWSV|v2a5{$3KJ8xrq!)wo$0M7DI^jUFyB@=TjJEBk6O0
zXG>$uu938u&9uJW$+MJ3Fv40e*qw4%I8-Jq$kjql&%s<#1+$ZLgFMZZ27HEO2$hYd
z4K<~jvCMg=$^9<llp=3e@=_1U5=vJbdcm>FZmRS}0FC@g>x}5SKTC6l_tvdie%OB&
zfDqkO5|s|4QLPijm-54zL$>t6evSjOXmsiPX!)g6WTnk`+|ISLYEwxu?zu$Wm^Y`-
zAkM>ur(M3$_;PlT47AVPUtE6`&k2pst0c!i*j%hLi;5BfkN@;<gr?Jjci$+F#CRDx
zFRcX3Y$3)=tGn-*+b9KNrg_rWH!Lg5v7&bq14Y@ud{BoD^vUJ;c>7VQF}i4VyP>f$
zCU9jqGGv6s#aU3oTvY7MqsGEZc0i6kwk^>GXkAn_nBd{%HGRlk4h91p_EY4rGJafI
z49K9#m%Rj8ujK1LLEz=_#;dS(a+8S(e`X60OI1Nkk>)Ru0cvx4fZdUJMB~IYSBy9N
z27Saw(pl2|epy)~q#*W3RbT`F5q%^iowq>tHO`^e=ogq8BW$plT|`{HH>2Ge#D~n9
zpcQK}8rqGd^nzDt&>f_as%Tto7F*<gBWJRbcjLww=(N%iY9%y2fY=N7&>-@<nxxmr
zp6e3HyCxB04Gwf>icx<Nx5_y^FuVUlhLai07ybh|#Z%PSN40`RxBq}J;Uh{bp29`O
zxnz<26RyA+Xx4k}p=mrDo1C2dSLqrPAj{s%P8&8tp5aC}%Ic~YoJKWp^ZF^9{(`ra
z3(%Q@7<!Udjx^u`<crA<B-uJQmXZ6WIw>K6j!hL}KTWqPba4hLLX~Nd0K5LS3rLN3
za=rc#$U;wp_@Eu`NZUVTb&tdGFd8BE4MY5ooUVz9laV$?s_|?MEF{ows0k&tniHqS
zyTn~TJmw{i&_;PC=MYAs{NPP_HSC;{RZc6yNN<(P`1Pu_;o+=@Y^}c2NU3krX1!Ix
z{)N&r@S|yqjPEr4d7oYbx6TPH17wuLsUME0$wZP|!N6nGTM<r+b^ZOkq+2zJ6x3qU
zP{Lzk)S+n@7#X2Mr$5r-n-UBi5V}}DzrzgTi3qAF!K8@^X2%J3>&Om>U_89<#RFnQ
z{eL8c^RNHkCWNPcmMD-)0(3`z1c_hKg9kFH=EbNSAQCr|5_^q=7Mbo+;n8)KR($M#
z`E<AO7%;u2Di=OSZEpFzuF|6HdO>fX?Ct|y6bi#94K-DRA79Tw9|!0m23Ae%aEz?Z
zIvJjQtXKf?$yh!Zt3BI7!7Y<6LNI=*1?oY3D%;X_Z-P~eEEKRI81UN={1IA^{3~)i
zYjF8R#l@;1Mq%<m<a0z0gGJH+hXX0pX~P2Dj_|`UC4z1Fc>%4&0fga1L`^iNZ8zjr
zL!+^kLOT4A{z4@1Mga;julYsv9#FI;n18}909|~Jg<H0^yL&xlU}D0p<GK&V2i{(>
z&?nTrc(DpuM;$a(QvS1Nt5S%%DDCu*4WxS`rj2-|{ai4momwx+!phGS$GnF@m_wxY
z$BSdVOz+?E?KBJMKSl95S}+)HX!ygiU&8!Q*94*>;{6ESYdw*CBI&k<F~%44<V~>U
zPru%@y#2b72Cl{gp#WqP2;u!O)q^~Ng!s_OY{t=q4CVra1JLTnBBBDdy9I)DN)d7^
zV)sE(E%dS_DhN12)A6BMwK1q}8zlRzYygiw0-iV!5TJ<K2^X=99?ZxfBoyGpGmvQm
z#t8~_NNhlxx8e4dswC04<YY#Wj2I7U3h*KZ{4<G17YL;ehd67<6OScXtmDmNWfyRX
zuk+XSTe;_=(hU*KqaOOf)Is}CJi1*YG1e<@IQOmu2heCGFE@82Hs%lvqYq$LOM%V?
zO>BIRnJ<Tzz*gx2xu8tpP#)s>7A>P7oLjq-iv{K|A;=W=WVGLc^th;`vY+)B@)AVD
zq?tHDqF_lIUHJG9+W#RJC+h|F?lKC8q4J$U|KC9jcP&=vd4#&@m<6I*2dw7MR|uQ(
z#<NQD^0&~swr;yi9bR$^9}yx@^-X>@x%msnS(E(-{O(&=sF@p^^O#(|u#INb;qGl}
z5HBuIdA2USM9qjol`g~N(dR{(tAA=#bC#vl-DYwzuQ#*PyI<wR00nu2M@az~_@A5P
z*$kDIBN~s)yLZ#Gvl(S&A6A*BD*7-%3flyk0@?D=khJw&?YO5eH1zk<rs^Pg!43=z
z1fx2Oru=lq`+rHQ7+N9g{vRb(PWGNwPoYd&!7b}rt2Ff}1bW(`N_fc7B6k<@$(R})
zjUauL2p<aj%5&?)+g=oFntm>npoCLcrNuQXBR0RHTo4H@%a*@gU4gs5{4-7Wnl)#C
zsapNETxzJaFgw)k1_1zZT(d`SLS@9LIiG36v)@g7+TuQW2!zg)l7w8w4vUa<3n(~R
zK@FG(8V4#0nK<nK4IYmfSh#2d0|SX#W&Rf=f!_gpk)GPf>BGV|BME@W9U2zy!#CxL
zDsKSGi1d1dker!*U#7H?fglCsG$%tdRWL3QYrugc62`;OxR;+CVS+;N6?C^lqVn>b
zko2ED0gaE|)HO)f0fEfGGcwtS*(+!=YtbXW=91HrN9p<}d)V^mFK=O@zLouM)tlhr
z<@@vW#5);)NXd`jN8t&_Xi~|*cfPz_9xz@<-Y*0i;n`O@5avT~v-Oj__m|7$oFL}#
z00-0Co$T>udL|~qfD^Vuf=w(b2#kgr5YpQls2KmYZQyyZIYlYMQ2z;zxW9jde(t=P
zkQ$-TYb$J&u0SBzKI+|pVx{5-4-&9-wcs#k4=wS(fwJb8FXa-~aB%RGcH>3bY*&ak
zJQR7uK$bYzt^l1PrFgbtpC?CbNta0n=(YsMA@3!<#2qXPFK!Gt2$5mKyLV<lhMUVU
zb&(GqJiwi1<oosz!~@|*xiT)-Z(jXYAEwrve|aH&bp-pq6Y;M1-kKT80ghR{B1zIp
zcD%C0z1y`P3G=$X)c4K9K8y4I%PxQ!?T~(7^#0nTOJrio#$MpWO`#NK_$GK8tPPO#
z!v9ENKe0HdtA}}_bj=h^Q^Ui>%*#j@^cFEmU}gwK1aa-in0iQY4kLw!{l14-)6tQH
zZG315um$66C{ieqt;ufQfnb+8;%W`;f#%1rgny?Cj_FzGC-9f?cTK!Yx_(^*ej)e2
zcvp(lB$3#dO?RsoQ5OJOeuh&v6P_irurBTTQp{Buc*s`k(ksmj&a@%RxSkyA{xW6k
z=m#Mrjm_3Y{bW5LFlhi6&?@wG4DJj7f9N>M$;H&=#^)@?)lis*=&%8rX-{;XS&k@8
z9!6vrTWgWui?4shh-59jC(Ok1*Bm_osdQ6-L<EC9!H*q7B}R!i<D4c$mE*oNNjGk|
zjIxGv(Jh}YS%8KI@feA#LbA;^Fo&f>fe!_fsUk;?|Ng{P!DOZWk6+KkmNtFdn%#6p
SA-a!(FOB_&)e81npZ{O$=rQX6

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_ensemble-members.html b/docs/manual/classbayesnet_1_1_ensemble-members.html
new file mode 100644
index 0000000..b30b233
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_ensemble-members.html
@@ -0,0 +1,172 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_ensemble.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::Ensemble Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">pure virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title) const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_ensemble.html b/docs/manual/classbayesnet_1_1_ensemble.html
new file mode 100644
index 0000000..0658cfc
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_ensemble.html
@@ -0,0 +1,1007 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::Ensemble Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_ensemble.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="#pro-attribs">Protected Attributes</a> &#124;
+<a href="classbayesnet_1_1_ensemble-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::Ensemble Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::Ensemble:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_ensemble__inherit__graph.png" border="0" usemap="#abayesnet_1_1_ensemble_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_ensemble_inherit__map" id="abayesnet_1_1_ensemble_inherit__map">
+<area shape="rect" title=" " alt="" coords="213,153,353,178"/>
+<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="5,226,123,252"/>
+<area shape="poly" title=" " alt="" coords="232,186,102,228,100,223,230,181"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="147,226,267,252"/>
+<area shape="poly" title=" " alt="" coords="261,191,221,228,218,224,257,187"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="292,226,426,252"/>
+<area shape="poly" title=" " alt="" coords="308,187,348,224,344,228,305,191"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="450,226,566,252"/>
+<area shape="poly" title=" " alt="" coords="336,181,470,223,469,228,334,186"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="214,79,351,105"/>
+<area shape="poly" title=" " alt="" coords="285,120,285,152,280,152,280,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="199,5,366,31"/>
+<area shape="poly" title=" " alt="" coords="285,46,285,79,280,79,280,46"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="343,300,494,326"/>
+<area shape="poly" title=" " alt="" coords="483,264,435,302,432,298,480,260"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="519,300,673,326"/>
+<area shape="poly" title=" " alt="" coords="536,260,583,298,580,302,533,264"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::Ensemble:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_ensemble__coll__graph.png" border="0" usemap="#abayesnet_1_1_ensemble_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_ensemble_coll__map" id="abayesnet_1_1_ensemble_coll__map">
+<area shape="rect" title=" " alt="" coords="106,168,246,193"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a4fc54eae63053cbf3162de383010b60a" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
+<tr class="separator:a4fc54eae63053cbf3162de383010b60a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9054a70158afe147e4c859211cd897ff" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:a9054a70158afe147e4c859211cd897ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7557710fe99620ea6cf4357183a6b930" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:a7557710fe99620ea6cf4357183a6b930"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
+<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
+<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
+<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
+<tr class="separator:aa6a8b50e438797fe3920d71b878bde38"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a180d71eb7859f96712911598678029bc" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:a180d71eb7859f96712911598678029bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
+<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
+<tr class="separator:a47a49609634a7a127b3a1264ed55ec04"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7857edca2bd2a407ec8404562219eb45" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a7857edca2bd2a407ec8404562219eb45"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afb4704c88bb960e3ee1d2fffdff0591b inherit pro_methods_classbayesnet_1_1_classifier" id="r_afb4704c88bb960e3ee1d2fffdff0591b"><td class="memItemLeft" align="right" valign="top">
+virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>buildModel</b> (const torch::Tensor &amp;weights)=0</td></tr>
+<tr class="separator:afb4704c88bb960e3ee1d2fffdff0591b inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
+Protected Attributes</h2></td></tr>
+<tr class="memitem:a65b82f7036d283358a756013f96bec8d" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
+<tr class="separator:a65b82f7036d283358a756013f96bec8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
+<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
+<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a383156745d59959e0652645081c0257d" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
+<tr class="separator:a383156745d59959e0652645081c0257d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00015">15</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a4fc54eae63053cbf3162de383010b60a" name="a4fc54eae63053cbf3162de383010b60a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4fc54eae63053cbf3162de383010b60a">&#9670;&#160;</a></span>Ensemble()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Ensemble::Ensemble </td>
+          <td>(</td>
+          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">true</span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00011">11</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="afce60aba82b7f026e8a88ee0ef9cdabd" name="afce60aba82b7f026e8a88ee0ef9cdabd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#afce60aba82b7f026e8a88ee0ef9cdabd">&#9670;&#160;</a></span>compute_arg_max() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; int &gt; bayesnet::Ensemble::compute_arg_max </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; double &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00024">24</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a9abee06272ba403a8fb9f5312c98a43c" name="a9abee06272ba403a8fb9f5312c98a43c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9abee06272ba403a8fb9f5312c98a43c">&#9670;&#160;</a></span>compute_arg_max() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Ensemble::compute_arg_max </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00033">33</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="aa6a8b50e438797fe3920d71b878bde38" name="aa6a8b50e438797fe3920d71b878bde38"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa6a8b50e438797fe3920d71b878bde38">&#9670;&#160;</a></span>dump_cpt()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Ensemble::dump_cpt </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00034">34</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+
+</div>
+</div>
+<a id="ad4c97a92c269dac84f8e8cc760671aa9" name="ad4c97a92c269dac84f8e8cc760671aa9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad4c97a92c269dac84f8e8cc760671aa9">&#9670;&#160;</a></span>getNumberOfEdges()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Ensemble::getNumberOfEdges </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00206">206</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="aac161a0a3b8692ccde0ddb3d7c2f25b5" name="aac161a0a3b8692ccde0ddb3d7c2f25b5"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aac161a0a3b8692ccde0ddb3d7c2f25b5">&#9670;&#160;</a></span>getNumberOfNodes()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Ensemble::getNumberOfNodes </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00198">198</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a7557710fe99620ea6cf4357183a6b930" name="a7557710fe99620ea6cf4357183a6b930"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a7557710fe99620ea6cf4357183a6b930">&#9670;&#160;</a></span>getNumberOfStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Ensemble::getNumberOfStates </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00214">214</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="af96f5bd66371fb0f4b61fb0deeb0a2a6" name="af96f5bd66371fb0f4b61fb0deeb0a2a6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af96f5bd66371fb0f4b61fb0deeb0a2a6">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Ensemble::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00189">189</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a8c66fd77aabb09ec25a030757e5caba6" name="a8c66fd77aabb09ec25a030757e5caba6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8c66fd77aabb09ec25a030757e5caba6">&#9670;&#160;</a></span>predict() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; int &gt; bayesnet::Ensemble::predict </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00074">74</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="af1e09b3d229dbf6d8550ac8eefdcfb1c" name="af1e09b3d229dbf6d8550ac8eefdcfb1c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af1e09b3d229dbf6d8550ac8eefdcfb1c">&#9670;&#160;</a></span>predict() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Ensemble::predict </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00079">79</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a180d71eb7859f96712911598678029bc" name="a180d71eb7859f96712911598678029bc"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a180d71eb7859f96712911598678029bc">&#9670;&#160;</a></span>predict_average_proba() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Ensemble::predict_average_proba </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00104">104</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a2a077e5c89d179ab904ad9cb8c21465c" name="a2a077e5c89d179ab904ad9cb8c21465c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2a077e5c89d179ab904ad9cb8c21465c">&#9670;&#160;</a></span>predict_average_proba() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Ensemble::predict_average_proba </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00084">84</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a8b21eabaff70af01d9f2794f4aa3f5bd" name="a8b21eabaff70af01d9f2794f4aa3f5bd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8b21eabaff70af01d9f2794f4aa3f5bd">&#9670;&#160;</a></span>predict_average_voting() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Ensemble::predict_average_voting </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00133">133</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a77fbc0a1720fbca2210ec34d6de1e293" name="a77fbc0a1720fbca2210ec34d6de1e293"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a77fbc0a1720fbca2210ec34d6de1e293">&#9670;&#160;</a></span>predict_average_voting() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Ensemble::predict_average_voting </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00140">140</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad2041fc17c90ce3f91c44e399d54b811" name="ad2041fc17c90ce3f91c44e399d54b811"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad2041fc17c90ce3f91c44e399d54b811">&#9670;&#160;</a></span>predict_proba() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Ensemble::predict_proba </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00060">60</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="ae975fa69541e28b7cd259ccc5e99f929" name="ae975fa69541e28b7cd259ccc5e99f929"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae975fa69541e28b7cd259ccc5e99f929">&#9670;&#160;</a></span>predict_proba() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Ensemble::predict_proba </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00067">67</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a2071f46dc78e4418a122b99e311cdbb8" name="a2071f46dc78e4418a122b99e311cdbb8"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2071f46dc78e4418a122b99e311cdbb8">&#9670;&#160;</a></span>score() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">float bayesnet::Ensemble::score </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00169">169</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a9054a70158afe147e4c859211cd897ff" name="a9054a70158afe147e4c859211cd897ff"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9054a70158afe147e4c859211cd897ff">&#9670;&#160;</a></span>score() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">float bayesnet::Ensemble::score </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00158">158</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="ac0e16a53cd3b6733abe68efc00bac2db" name="ac0e16a53cd3b6733abe68efc00bac2db"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac0e16a53cd3b6733abe68efc00bac2db">&#9670;&#160;</a></span>show()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Ensemble::show </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00180">180</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="ab283458c6e8cd3cdfd8bafa60f31b7f4" name="ab283458c6e8cd3cdfd8bafa60f31b7f4"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab283458c6e8cd3cdfd8bafa60f31b7f4">&#9670;&#160;</a></span>topological_order()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Ensemble::topological_order </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00030">30</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+
+</div>
+</div>
+<a id="a7857edca2bd2a407ec8404562219eb45" name="a7857edca2bd2a407ec8404562219eb45"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a7857edca2bd2a407ec8404562219eb45">&#9670;&#160;</a></span>trainModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Ensemble::trainModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00016">16</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<a id="a47a49609634a7a127b3a1264ed55ec04" name="a47a49609634a7a127b3a1264ed55ec04"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a47a49609634a7a127b3a1264ed55ec04">&#9670;&#160;</a></span>voting()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Ensemble::voting </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>votes</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00038">38</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a id="a76f6b6c16e9e771f059ad72cbd4571a9" name="a76f6b6c16e9e771f059ad72cbd4571a9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a76f6b6c16e9e771f059ad72cbd4571a9">&#9670;&#160;</a></span>models</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt;std::unique_ptr&lt;<a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a>&gt; &gt; bayesnet::Ensemble::models</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00047">47</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+
+</div>
+</div>
+<a id="a65b82f7036d283358a756013f96bec8d" name="a65b82f7036d283358a756013f96bec8d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a65b82f7036d283358a756013f96bec8d">&#9670;&#160;</a></span>n_models</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">unsigned bayesnet::Ensemble::n_models</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00046">46</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+
+</div>
+</div>
+<a id="a383156745d59959e0652645081c0257d" name="a383156745d59959e0652645081c0257d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a383156745d59959e0652645081c0257d">&#9670;&#160;</a></span>predict_voting</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bool bayesnet::Ensemble::predict_voting</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00050">50</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+
+</div>
+</div>
+<a id="a27cb9d119dd817ec240d8a4deedf0350" name="a27cb9d119dd817ec240d8a4deedf0350"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a27cb9d119dd817ec240d8a4deedf0350">&#9670;&#160;</a></span>significanceModels</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt;double&gt; bayesnet::Ensemble::significanceModels</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00048">48</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_ensemble_8h_source.html">Ensemble.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_ensemble.html">Ensemble</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.map b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.map
new file mode 100644
index 0000000..03173b1
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::Ensemble" name="bayesnet::Ensemble">
+<area shape="rect" id="Node000001" title=" " alt="" coords="106,168,246,193"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5 b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5
new file mode 100644
index 0000000..b723997
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5
@@ -0,0 +1 @@
+b86ef25f6b5cae66beecc3e9ed01dc2c
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.png b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..33f6e04e1c55b43dd667169ef3ddbb0519bed5ac
GIT binary patch
literal 11121
zcmdVAbyQVR-!-~v1QAd`q!9#>7DT$cLsA;)4(U=r6a*xtyAhD?E)fn$cQ=Rb=3D1|
zpZB|W-1`3x#@HMVd#}Cr+P|1<&iPGQQ3?l(1Pg*792seGRR}^-0H1p>(ZMn07t#Ru
zg>Eb-B@W#qe$t!rq9KS1k`Whq=bpSf=cW7Z<DJmKg!vbwPr?Lfr8(M0kujM=o+z)?
z3YeI+Vb$uNepRXW8E6ohuDO;?mlluZdQ8c4J<;rw4VDca)x~a;8=f|!#R~cCq|U<O
ztluK^T^o;>80FE=^W(#V!-Hg=W1iAM9`pI+%j6CuJW)*Q!2cY+j*IE>cNmwQJm+~A
z!6wQXsA}c*;ll?FwaO-+>$A;V3(ZPJ^nfLIaq-TUq5<aycj_pySXIh5229ktVn^rD
z_*;n?r=8G3X*-CmV7rk-qC!<%TwHAfzumOAw^yM#9A47!2nh*Ep_yW+JSQ)Y=Iz^>
zZts9c+JShPV^Nt5fp{!G{$Gw4Fp1-hG{5ef%VSa+xuOh9lJ$X<_qz+Btj&{5H62iE
z0*CoQKgXcqY^@_EE^f~+?TQ}>30v+>zklO7ZwyFST3SZ`5@Kb=Mf~C6!2>OB4rP6f
zh>$Wietxzy74SkXj<eVEed3w>4oYjI$ML~l!~S^u{ZcUHa#n;+w`~az5065%y|437
ze{XMF;u~ucn$VKZ0Rcv3S|pXfaxLADVQ(GR`=9B$PMIE@oOHGYVBkM{rVVc!jUOHv
zVRu**-kB^zS?P)B>HPNOume|!ikq7l1D667iiwF?guPvGA*kxs(AN(i9ern!hz@-X
z3zLwQ#VV;=Cs|!vTRK?kP$-{|%N3xwh7M|4ZgDEiVC^*vzVB`Co*H<6Ds8?hlo{VD
ztS}#3-mO`%i>f9)g?p%|;A3H9Tl?(xCvZ@0IVGW?p@rj`t0(4C)6?e-oKNk#5)cq@
z*22J5nVFgGIX3L<>{^u;`1-z=rnGc)#><`Gw5qJs!`8O9y?lJ~nK#nzPUs(!apQrP
z>3*>k%x*qFro}`Q_~pxTSr3JC;<>8R=$X!7sz90ZhN8QtCo)uCUe4xo<udEgfm6E@
z&S!PorZVA+>R(>|Iwm%j2R1)kRbz5r4=?EeGc>B0+SaQs8`u6u`<jCTenY3Op)vk}
z{-H1pp+XYu%jBdMDmr?mTApG&x8rkJSy>2@k&)S4Xc7AS`7;Rb%?m@NM9v3}j*er~
zoAXV4cc-O(NYL=`u*2=?M3z(p#liWxl(%=|N~_mW(9?f4_6DeEXc^{%sgqUKPyMkC
zetP@(9FD)Y&#;~-0jKtS#ivnz_inWkMrz-PpQo78uIDxv<ae_|3HeXxd*NhBhB>V^
zxYu)O6cK9bd*qnZmo)Ri11gfYwzekAOfZO8bTI=mu1elFxH7N9k~FPL<X|cj)-5+j
z*f%#f%BrfL4-Op2c$`qdgfHL*_aV4~7Z8|cNewH#VzO}XBl6##r&cFBQx#KRxJcf6
z37i>tA4(((`b=*r%Zp9$xbA52pU*l&{>K}G9X&l5*hEYYl_L#q_TC^6A^$<4d$LcT
zK4D^G2c)G@uJ<RPG|cI*xXa4O6vVv{6r^ZtYx^@WVE4!FBkXK<CX1N}o78HeL=UwU
zEc5!>nj`qUGm?k9va%u*6@ZSjT>lZCZ%I;7QL(kM(g8xW#GoZLh0o1QLIO?ZH3P%9
z=H_N5W@b}INA?D{{Q>hdpSX>I6caNuy6dyuKGVLq!#|NUJEH|pu(7bTR8-o)iUo-U
zKYAfU!Q&JN5tEa{qM{z>W@odpvHhU*KKL}kB~$*s#*Q-y7Vet>Gi$!Pf>$ZNFV;X_
z94%0*Gi*Z^JnVeZ2&xG&G4Y=O3|!uMHO+;T(>Cn^98#`-hHTu`+Ik@NF#RttFMlRy
zQP0%X*2dF5BOvIE5W0(}tuyYzng<JYdY1Eg<+o9X1y_=`j?Q%Y3e33dHv?rMNNV@(
z(E@Z+%ZMI9nfkiAA>%SOcJ|2m`FVcNlb141)0LLr!@`Q)77Q8(x<a2icYejE?FC5~
zqOY(25F49D#`pgA{N(sJYs|`2LxV^_K;UvKFD;4|EZ`J~yynaGq&MMtm6e>H9v+dj
zY2HUN`p&R7{eS;j{qrq$+5AVX!xYy^$C&u+*|TsDCH_Oy;D^sd8|DT&f^pSGI8%8)
zh7g4Y>D9X!iHai2$;oZO;qXZZ5J@0Dcx9Y+r>joR&&_>(1?6OAwNzEx(Xfde`s3Me
zz#KOB_69)whJheU&$VP?WTd%lLCJHXk6I0U@Z{oTM2XM#csWHY?Qf>Xg3tM3L0;-|
zw31*i28FvnDBQ^cUR*M~yA2hB+<gf@eh9O&vg#CT<XsjL!Q@~=KX!EuhFr#f{{7D9
zx?}N=t90~nsF@e<S?@ieLKK;hFaLh+%A=^U&|F41zsn|`06)K$j?UkU3-^Jfw-FQ+
z6ilyPEl0hO1L2?$<qfiSDo-iRN}GsDtM%*GuOvNco}Ro-jg1!<D-k0-J;C4!EFA7%
zjj3~zuE9MbC<G8W-QyxHjp^j<Y{W)<&`Y0|u9PMSa-ai@YRE}~1d;Q)v^Jg3hk__+
zHLEZh$yKPmzq>|)z&gKVU}*D4LiyL?=XbKdKxsYx>ys*$rrt-wdB1y~Uj{7{0$yk0
zVDM_2DOF~rv0!FU;1E^QGU?|l7M4e>O(%~Lb+ZwSho~s?zSp)N%+2}!d#ym^1%gCf
zS-8J*3uC&!-S;cA7|J9uG5?u}2u?wqsdW_ehYkg>xZEa+>sZ9ahy@7G2$C)N#Q{16
z$mNT(8T-iO<nImp&7^PV-DzBRr-N)~s;OVS!fFj_;B0SiFKns-&&%y`lx<SKeduy`
z<6$#bPbga;*|hm?LoHm_@#@4<t5_pmo(^igyS;Y2T>DAG%#3q*cqlC+BLbccN;hcn
z4L_gryTAP!9^Nf*K8vEHq|_4~i;Rr?ug=+=jL)^dEE3!!40O?@)!t}gL2qt4rPS}U
zv${<0s~_SDoZxkblfx})w%rX(@g2v_ObYl7IbOeZ0NKQQz4r@uzzH1{wH4H>_tiFS
zpu`pyd-X=Wc*)3E<fzO$gE8O)I?`xE3Te4OqGuAkxQX(*$@8?`;O^*Yf2siK+XZh9
zUbj7O8Tj{*5K&dt$B)Q)1C#9PAJoiyGFIEpd;ulNxGRJZ@@LVjHv|=EY+kdj$$DjP
zFC6@5IRIC%HJQiRVaB#5L+&R_OWk0YD|Nn;@I~t<l*w908pM<I_shF%k3J9)5rO;_
zlDMd8XgbO`IyyRrGQ=?YliuQj{_}C?V8*Ti2b30RX=z9XEXqR_6&0--J91SuHFn<{
zcaSASdJV1;@7}#j(KIb`8mEK6n)jshK%kssQ2JgNrHnv7l9EDqc5Fb5nDoUl$8%af
z1~vAJQO6ga{|=e0-Q6%yT2@lr=G(f%NR6s=z)e1l6=|BR{f&+1bF&NcHLwbon;R&x
zIj&9zQKJq^e1nZxtsY80?_R_TwS!Oz1wf=@ZjK!EtM(8=Mu*ceO+H0QyOvv5Z&0ET
z36G>(i+q2%k!EtV+FP{_atF~d%wUN@j3u?m&g=aJZtwM?<erT*E{8A@6B2f{whEIx
zL|07VjU^-`tkfxfh>L3u+672fO2vfNL7<OOfgZ3&9FrpCCx~<aX7g*@4%Dfprlu*-
zpAzNi6qC5Z*4EZ4r)<c$Y>4OP=6Ku>4A0;b5q&>d=`ULxQ~o+qL?ypA#iI1Pam=%g
zTFr_Olm&rUqSp|&8dMf#UD`B0q&T+qmmOAkU+=Qj?zqx@n3v}3#00tk2fz+HVm>@?
z6jrcV8->AT^$iUp9UTFne9itg3Rt;S@8M*9BPCYt>|>HRaOHH^Rrtlq(j;+rcapv+
z!cv3RVG){}oh36#EGenT&JF~H$$Km3r*xF5sp-kd$*S|9fTpcLY10`AIBT-hK<Mh~
z$_aGX@KAB}h&(VSSq26MPLi;jo8v+FTxo3Lj;OM_wzhT^g#+mRa#greuC82f6li2X
zjK)MpMpjj8dJrC59IlM5TPJqk-)soY*4U?IrF<zYQiuwFJ`(?5=*uB4nif=gkHuD`
zJ1{WLH2Tk|l^Pp!&8y{*xObdIQ6?>y;|XbLgZs_b;T|3yVfbZ=FjY>yNbuEMgWK_T
zQRzCsAxYjonYI=M5+j68J2j6KJWp>_5%CKUU^h(!|7X7aMzvC6QBFRdv-dTUb)LQq
zqN1W!vsJ9(UQ|84aJq;uPed`FN)HkI@8c*>ZbEA6d@@g<1v}`tR<~XgnLY)c$3E(B
zLUP*-xfPuP$T+Wh$LlZ7l|9U3Kf`g2Y%m_8cO25$_=@RK#*G*5<PS}(4ytBFn2qtt
zS&Nl-2T=H4+wX)*zU}C*gUnt9X@0-E*f?sFedM}SZkplMK`@4_d?{3G|IeZ6xROwn
z^L;voP|nY}z!ivBY$@=${wt>T!cL1ZPQMeWN``$L*(NmEuITR&Wctr8Vur7?O6uJ=
zUYQ}A4C8)p<W@#12xW%~3yFzk<lsE;<ydvIP{_jfbWi)mX1>_v3RF>~Y2g6;kcFNc
zoO%_JUS%bk$jm9x+uruRzkQKt=_YIZXp`xNWB%uyr22O~yM=o~1T@n@LFpMY>6J4$
ztp=Enl$Bi}Nk|!b)Afx*4Z}}YiK872O#1gT8SepM{*F-ANd_$ui+5U*i>G5I@6_~(
z@tOZ!ExMeGo*(scT3{2ZQ--Chj@eO<LO0&eZI$nXluHCgl(=6=RG@hs$hnU0{CV!6
zO&+Qh`x*JS;>d4{G44|n=k+Hrdxbwp`>&(l5VfjhZx^z7f3fxrFW}5^H_+9w=(`YG
zwf#CfJO7!PvKR~L1_$e-p1|8k2bx2#oCC4%3GiH>0XtZN3McMoE04|jyuWicQ_wu5
zo?d@&SzKkPdT7z(D`anRmcHvx03#YGF?xXMB@mjBo-X|EM5b-a>;YY3?B~qPtH?!D
zSq|>|*;lQ?r`|5cE<QbBwW#3XYsXYxJ#FPv9N<Di<MYRn=!$Q4$oOthrS52%K}z_J
zlkiOtuixP()QSo|qPq(1jw%{(5mEzr>8Fpr(mPm_qch~^FC-axDlAr(heh9h-ae<*
z>Y)}vYpiAC86KaVn#N{GEN&ID)8s*&M=4CRJ!+r&GH20IgiRCcEj|71k!#j7<@-7Z
zoZp^nv<}myjUCrlwAPf_7S)g6xt~rju073t(0~kzR}Snet4V*OOpkkJ0u%NeTz%ba
z=3y743`1$V_fgLyZ#Bpq31D==nd$}s^+F>;rRU9}PmUpqA;#~58VouQ%i7>p7Dz^w
zd#3sgHAW-hm^oCEx15i0j&sF`bAwXgdpn$QH0Kklv6)g)9Gy88Qag26F8T7Mx3>p|
zyf$%xja=3{4@dkxq_QWiPe-DObKMk&F2)1N4p=y*g;4Np*etTlav$AMK!_tf0VNd<
z386tkDw%e!^C*{6h#6x!zwGTV|E;Du_PT9iGvms_m#?~;pk^*SnX>op72)g>G|mL_
zUGRtKw(oZ4se=of?+kS;kRMKeP%7HeYkFNxe?%%``zQO<<@~hE6T+A6m?TuOikMI6
zv_C)lv0tBHV@ElhF2K+6@xTZqqnj${OuPa1h7=@eO=4$2p3^+e7ma88jR3}#Z?*KU
zlbo@;;6oF~gCPy+A)73US-EIebjrwD1*|;0Few()DwRGAMr$K#I{Zobph2_vX9aF_
z)YHfeiMCqCmE}*LF5yCgDy`;aGK~`Z@|kw~54k5TKL+Lm%<}{~gFDxDT9~rFYDWo~
z6kk?jNM;@hS=im%F)Q~qW!$NKx6jnh!;rWuj2MY%B|>>pdU+(im@LPQ?obFZ(zi7V
z8K|CkZif|~BE?NFQIR73UE?fMR6d|x@}*6x(R#6``QxWpxxF85KMVUOse~p+zNQu1
zmv85(^PC@$*HOwUWz}E|@<N)eGX8$0x-Y*wR`|(M&o;yWX*1u(F47Uh{sJ*=Uog`Q
z8Mx)nW~e%<uf1~Zc@z6KM-xZY+ZLjJTgW@9!jO)hUP(nZHaIxg{+D$EYs*b}R#MW;
zF=#|eIOM#Ql{`*WbVsL+<g#Fb?a%w6GDRA$PTE67#2~I+mQdsD_cMH$_ZOaImpdEe
zfHsE&RVzggk2)#mAS(qB<Z9oB{?1>&?}rYkvmLk^CM!isN%{ZUCq_C&j|jEclxfYn
z?$7UP^E8?E5k+KY)9#1<q$vRK%2i^_v}n4)t@LN~$BW1qoqxh$7ELtjHjn42*#bJV
z)mKK%nrN!rW~y!B=A0xWNS!G0xUEU63o)v$Pz17rrtB@i{5ONpZ@?za;GlO{>0Z3w
zNP!x?u1>akGPAOFXKL(Q`V83`v0EvHU-|1o!8FgGukVBX^p9LiYe@G&x-P@%IM_<2
z%{BXY;bslROO&etf=cAr{!^TSZ+)ektYa7P&4X6ioFBy2>w2D2k0A&bLXp-lit&_Y
zI7RhGqKhuT^>?JDEYo7r1CKO5V#r1tm5h&%KLmrpidp^nP>_+$cITUBz(2gDj}(f=
zrqvlv-5@t)|1RS?`H{*&=muWi#{yqoUw1|6EdV>6uOr1h#eoD0NH4o$P1vxp7%_iE
z$Slu+oBOM7*ZukPhd-e0fC2j9Z9e(iC=WbQGpgYm;)fHpb#)5p4zFInKH`7?kiK{T
zQ6k4HYiPJ)`+o*kX-Y;==n+#;G^4kQKy1Vh-H;sUFa691l2rh(<vWI7({2A7(~t<s
ztrcb{X~c=ZbI0wJQsq81f1Th22^V1FCXaLO=DlK#&c+v}j9Sn?8P9_18FM62F4i+A
znr}~Gn#i^C45v-O!97N}xDg!?1(o)MfdFBP(+Hoxg-FcutD`}78LF?R9MwnXMcoAo
zo;_B@cfK8WsghYf0mx?EIYAUIr?-Gq8o2x7vv&HGKWFr7sD1-}D|<kjvi#9>s6HuX
zYi10u!jX-;`^B0p19B?>@J|dYrmS>7JRa*!$j#qt*F2pHao1#^?Y3JZ0I?&vA4Ilk
z$~hg4bYU4%r%*+qFd~S-M#aN(sR&IrdAXTGHH<mq3^{^m4k_S${LC)bV#0^eZ?DE#
zAs1Oi#Z*~Uu=|BOCBdqLR#$WXPJ>EA@P?s_(1bl0%U*3MfS6-{giqDF-0F{8)0SBU
z^jqaHE}<YmiEFI>IStKu6o3TXtE;Ot0Nb|w;IvMxHe3A@xe%$F9&@z`FKrpnkS(UY
zq=o{6gYPqALR4g%u1_Zn%%^RtX=q#a!JSDJVylXOybl+jlO~J~yhk~}B)qG&`Y!vA
zPgSl4aZ_8@EHvSuF^d*cjlT*!urmG7uI0R#`f0NY(^*e=v3X&0wMkES32j3P@5k-n
z%}oohv5Bats73&jOVNHjdG;(}j7<AIA46h$9rn57U2JO_A-ioCca_GzH1k;bzowsz
zg}ab!zB{~sw9NyQtT3hKRP2qI<&d&%m6uGp?Lx*iN4{XC#j!<D@&$v9%LwGDQ6Z}F
z{+7;o%TV@XTu*b$Z}X%vp2zRs`oK%w9#M;9KQ>v<B<8T?==T=hXA;F6dIhRY7x;o*
z<|b<%LEfsz8?9rrn@yYBtZ_C~U{Z@0;hC%-vzu9gOQipEiQQT|F-O%Tt>7=Wxb@#o
z4zmBe0#rA)Q^Yo<?06ox^oBTEQTyjfH<DMx`VI3bsp$~a*R<$yXhGulyM<}11?#&p
z1PX^q#bibLXa@uY^C54X<K{gQ+yAyPh=f>?`Wwh9jF(kJ=<1cY(PiLXhEWY!822aR
zE)qf&n&Im9TPb;EzsQmwf0%eUgG9#6q1^+!J6nGay3s8Nkua-n4Z#uu{han>b(2xm
zrsErpKGE|t&37{*u|_AnLM-b^OI=_!uK-I;q9_0Op7Lu~NPL5F@>SBj2g_Kgc|0F<
zW5K+S_l8lRR(xMx)bDjJ1IgT9_U(^o{E9&@*v$rp_y%7bzZ4Q#Oe43kTgf)WqE4Ls
zUhKUyam~F(L{1%O@im@Ski>+}r22^Azt@lr0N|EXN0xtlp?IQ|SYRzTCl<&&b^f!U
zHf#N0LF0?PCHI-soA}svzqp~3?PR+>8shyk<~(Gh5w6x3(=Mj$PCef5-gFGLHlU24
zlM*o7?GZ8;{s@he3(2+6VC>FcLp6J>MQpNO;c2E#RPXi!Nm{kFhAz$c85bVT^S3qF
zdY$plunnIP>TA7`6j+#r``Ig7y)0-}4q2$XBvOb6Xk&c#nK+zQLT%HmTci7B&>E!w
zo<~DqN*C^fIQ0`N(hfT~Gv+gcE;Tsm72P)u;l^OISIK?$vu_E|Z5i`jV+pV2WAX?e
zX!geE{u}$tZbeA24DnN#tQRRXi)Q&?`tSM@Qas5v43VQYPb}^PoF%22?5*NHnZnwS
z-6O$gIyH<v^}DyzbLmq_PI{GM3^bE5@PD8;tkO1dRGQj(V&LIq#ayL;V%G$?N>3@v
z$B{23P{T#r{65cX>l7UwIS~-{W(g)G62LS%CnlZ(g4DAIk9l-!BoD#XZ<1%hqS+Ow
z106mQ{C^)|T$}&VDNe&PLOIL_78A@<+iD$G@F*z4wJXf1IXFfRJ&la0fqoGR=xI7_
zKYe`)#2-gT*ey0LCz~prJv}t+?D$@1J8gitO8n52c?s}RfRmHcZ!;K4lgW)4nB8wJ
zCLDc10ReIpj7Oc}<a}&^c#u!##uvIdKmodh<H4c`BrGHI0Pvg&QYzLqV8bn~pb(U6
z3Hbw#H#<9fG10n21l;-&rQj?roKRG^)3}V5g4g9MPMP%t3pzS_6fHJ3wzjgeGTaGl
zC`UPqMQk-<)6$dxlWfvFXSdNCO%L}@gPEE5`uYaU?2H$a!pxiloWsa?qJYj(Iy3+p
zHILQk%cu{40!14AqcTzLFrIgHB^L$Q72O)Ulo8YI=~P<4y#5^?R?XWl1;h&jAU?US
z;TfW}onx6>`}>3O@x-p1|31kwD8{pW>gwvEm8qEOPfw@1y1uReOuhHXkd#c+`Meja
ziHQmME?~D@;p1VXTsBlPxw*Noxw+$0Q&RyEyTUQZzw(k3(Bk|6PdR}tdpVE<X6u~k
zWsbl!PYw^4hI8bm3e@NUw*gipIVdPdai($U3u%5#W^gcuW~shHly0LtyM5gnkyLZx
z2q5U6L%BIQW0Mp;;p8iE%<rYgnG!$RVw?Loo#{wQq61*?XL;E;9IS?9R-~Yyp!Z7H
z+gkAc=0TMY=K`C0Km!0cRBJW%%5`rx0npvH|9pRDGKdqF5Gg=_UN!|U$8C4IOVH<v
zO;9kEmdD~BRmuCBfkULz!$Tu0t5*}H27>?!RAgp;rcH>65jQX}h>MFW2UIuM@o!WN
z3ibh-j-7)e8o;f!a??Kd)j#;I+oRt=%l?(0zsOkH*q$L49M!1IiNwasoA~0z3waqC
zBSS+fp^HTnz`MK|<b;`V82H_u>g2t(nG_CaTl}N{Gc?ppZzi)@aBO1XFQqbgl{bKp
zm5E~1_=S+M<f9a?^%EQc(gEbXQ!YbiPHjwPLS*Dp{CVdSC5Jyhs4Hi7`ModL-Y7VG
z|3Q#9fq|%C*25DM6Ds-3%gfwAFN#{7uChkF{hJ%_xR{vVfQ142#$r6X$;F70(9qmm
z3W9!7O6C?(7}3(u&?x>&Cg3?5Y1$t6!24<|FQr<h{_K>Wn)(x<;{ijZ__IidGX?Q#
ztfc+mjDYk3GX!r9XWQ!qLn2HJvGWk{JP}@K_8}jkrl$S_g9Wu2w$i70e+Fw$#l-Yb
zE{^HbkOe9PsCgtruyNT;LO_!O1mV)%^*#m!Flc&qHY(t7h41ffhX98R^hb1A2HlTi
z>h6GNEAzee1X|7$F!*G-sazF5Afv+Xz5a(mF2TaWYQH?*INbNUZ|JuE4?q0;#~A!u
zh3(QWC7dmLAClp7Boy@8`e))CKk~?`Q~)>rWy~t5_X9Gtv(Q5M)4-PpR1-W(%7~a4
zg22E)2)a6jZ@4eqo-afI6fp~EE1*jPITqC)TcQ*M2Dj@@{7Qfi;DnR;+#b;@rFH_5
zk=^6y!|M9F@l?5~`({Qk8<3f#8qhoLeFZg%Sj}zg3;piz4h|37K)kaVcYd`hW!5f7
z1;p5!kh1@pDG068vl_v$DYv1<Rr!jr@+q5eFJxRYZvQaSx5j{B{L|kr4%9R}0s>TM
zveNR&>({Tzf|&UE$q>{$&|TR+ZoiW%YuK%x`H_|u0b=7vXPHS49wA}SNBB7Pn>U0A
z33aN%e5lG=Q(QuV$F9z?TRRCde4S7zK<Nau$BTmwT<esxv$O8yuF%5)zJ0@$?y%oF
z#rgU9t=nToWln3d{V9Ak-B<q=5cQ*X^}}w|o%XBS@#}<|x^4OSFG1-WHe^Fk)*wsL
zfr8`i&fVa;`xnH5!`~PN?}IjsDF8*yOid$cHwM#`pqs-U%A%?ypoiGo+n?>tCDBEH
z1JZ&CkeO|{NP}@mCEeWI9#Qbe-(H=r9If>gg&nGgUq-IRFsLEK3_javT1uZ26;Dr3
zCk5?S0uY2vg75+WAWPc|q??0j>(Y;v&WDw`mfk?R+}zrd0poePyR%VIwK|@r{SwUG
zvU&f(%xrur@5@O|GrNMhPbs`Q|LRYCE}nX=DreE(zkint)bgzQ@7I1B6#BdbG8B0Y
zF7yAvKce0IU-`$rbKmhXIvFWPXCR$3fEU=B=66>oqP;y$G;nqD{_1^fMRS8}2)Kc+
z)sTw>(3;%#=V3*q&522G?d^s?e(MHXXb&(02M}k(W`n6=QWPGjZu1^_^NxWQk*nKv
z4ww%fh{(!@%(Dkt46VwmVN&Z-N&KIVCW*z;c6KaL(b1>jL&kXi@D>M#PJ0@OidbdY
zTlJAj@h0a=TD~1>li&uQv=3BkT%@2on=Ofw829rN9is(rrASn=0u-i`v(nPx05xS8
zmCtL7Uq6>ntCS6iKZ5(^u~aI5Nf57y%w*6>!8jilUlxR*A%=#BSuWwU)A$UDnPW@O
zz9TJSLu{?Gr`AY>na==HEPnLuI^D2|4JkU8&2re&bDK=A@`);^MA6Y=-pR2414ush
zm|$tBjK*$)J<dWZ+ag3m!ns2a;x8Of^Os!qO?m#!RT3aCb<9~@;RcITQvZBQqN}ZF
z*-CoED2E5;JE$m<jICOIeduD(_Uz7-Gv^R9#3_0Zoj#_+hJ;4!FU09gJM>5fOa^@`
z`{iTFSK^(%U9D!{X{V{dtkvTW(YzpHthJN)F;2eBB*tiqG{iJS@LPflH)I^JB+>Z)
z$w!Lwy#Pz`sFNG-g>bB2pk&bStC0<YAy!vxudPINOllnf`FT3zFL_xKW0Nhhr~|RH
zE&l&>jG0FYbOxGen{0uY=Y~ZjuO3p&D)RWTC%xsjRD)*kOVK8=N{RnMh6vrfwyt-t
zu#HuDAC*~ALn97mRkaN;UzCy&<I>6sLI!Ix`Kqx9G%r_%L<OmC&LBJljr;$6bUJMe
z>xIF(04#GD6gb}`&(XG>Dn|niwyN2+hup2TudgWKiTZ|3OH5qcGH7XCKzs!y%te}B
z7vNi4dEndtrj#tV?+Z3d?LilyzK}NF?9DYe0(2Pj^XJ6H#AEImRsiWHt8GbFxiZE@
z1~_Ma16#$9U#E8ipt!g7^<m4_oyi%20u`K>XC8JQDGtPW;Bm0_Nz1iF2yUm}ORKpC
zQ}{5FVC$;Y3%7f2#O%i6O?_jrIn9EjW9NUlc3m4*<cG{E+U#n80+!WXK5!-{HbH*^
zauBC{W>>4i45#^ek8je3Yu0@wEFNgj{QUesQd7et1g|i`!vfL*A--nIME|y#dhPDv
zv4rb)fdbmk;y3!#R#5%e0HQ(24@H`#k|5RP>7G1){u}{hU*;T4nWrr!**CX=wusQ)
zI=i}-3X4ia!D&RyI)Mlg6cidsP@6!T3l_S+9NheuA(mpxqEm?pV50j*iW{PpJS68O
z0LBS4;K4cE%!)u34%@mK{h3oD2<3B_1AGN+8ebds>al^9<RvR>4|B~d;LH4hl8@!u
zK)$rJ6wmKbK62~CZa$;43HVe}m%UjYFgc*6Jg29}VAL!T2P$ND1Z4#96%d2gBxPao
z5_oP7LA#{}xB*xbB!Tn=yhMV;VUlEm-atSjBxW;&{`U1D%qB*_I6%x{_7K=v4!TM0
z)4`iVI9d===1+ak2YY*a7vNUE9akj#(}XBngDMJXq{0_tHT6Xl6(0d0$xO!W00A-B
zB*nJ7r)LGkNl&Ha2p$>PLueB;$*N4pLrw@G^u1(ZDdA#eW5dhH$WW}%^;nDjc$U%J
zJY&NJ1jrSj{`CMPh;W<$<gf^ugd~9MaZK8u`Sxl%wtS!QIAzn6R-C?BWzyjkcs62_
z1r$jP(Ckj&6S#<H1j@Yhb1p6-Fgij<2b-p)_4O~w$z))-R=b)NfGi+?V0U;(!ih;2
z{owk1KNx1#k*|^^{1|vDh+lue1Uov6C`6A2fK~;#V-N~!gut0r71I-XMZmUTl+-R`
zA#MkJSc)^h6dWAb5d7E%C&E8P1$<=FEuo<nw%W<38Pq)cjmL@zBNpf|NDzQL2*DYc
z9+<yN(g59Z&86kt+O{h`ObH|nm5`8-%hqrg`&^MG>&{%mQ&|QCoB|FfW!VgX`q_wC
zZe}?X<S}t@By@C0N}A4ec4lgDL0y6T8yopSGOh$Y)z7a^r4aC>qN0L8-*-+<`M5t%
zjsPk^SSIgNC#L}e{GPG_8;W;0&qjVRhgJx3(wYMViqu-h3<yWEQihy#OR)10OS#S|
z%$;P(bOd@rKuAc4Va<#Y!nn{AK`8}jKgXR(cANReXG#L61fHkcXplRAyX5;|pVk3z
z1-W@VLbqn&XX>1pAw}@UD~w>G>>$`ww6wk!mDFR2eR(JXz5yGKZvb2A0%#xZTI3r>
zr){64P*BY@aJ9%}zIL4w_C|vRWwgnlaM-%x>zC-#4O>9KB5Dmp#mI;aJUtyhsKp$B
z-3=sl2H3ek{$Pti&B{7>*w(zBXbno)kNEhnzkjp!1fL=7T?lMD=eF>Pb|6(CG)L~|
z^A|7B5)u;JuXk%4K}KC%Tr6I}OG`CgZZH2*fY?aFK!I{*N(0*l_u^{HMN!AP3%G}!
zon4dWQp#yYb8<<(bxUozUf><Tm^eqktp(EWD|q0?AoXjva+BD+FC1Rx0GipA|8h0j
z!Og7)<jgmG8p%b2`>UtGFt)g{5sWYnfV@XI*~oW4ZVjX1@*hCsC3>L%)@S7BV;UJ5
z5es;7K14_9H{)0zOp8br@LC4`!`kb;26&Uq41k?@BqSj~lJ799Kx8|x^K}AW1-Zof
zvL$q}8m)w|pp0rws3{4c+1u~)Rv^~<;~8)%0SlPq6svlV9(;yH)Xxc53|sSZ^$hr#
z2G%w#i3kW<EjZhIdh(`k0DsUrGBV<rW-KCt#Ou0)nM1%tgbk8KbH(_P!_r?nPzOL!
z9|9ZK9`7jbkJ|*lG#Ei-tPK~lf2?}Y>UgcRre&m7SPGmM^@Sz3!&-1TB_&o?Mn*4*
z)Y*AX#QGf{9~XUWZfWrgTN_9diU3(_v(QW)O{Y+J>JzJ(!kQc7<h|ymu4jvEF>c`V
z>wgdR4*n!euA37LS_HNRg#7^!sN^*RnABEL912K_?YpdC)Ao<=3m$Xo{~bSkkgtdZ
zMF|w}f_ZjvMiA#=p5_*P2ni0v`UKx+3xQQ<=KnFK{*Ohq=uU_-D{4S!(Nq|CXdxL1
LMe!0*!_WT<{!Fk(

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map
new file mode 100644
index 0000000..27da9cd
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map
@@ -0,0 +1,19 @@
+<map id="bayesnet::Ensemble" name="bayesnet::Ensemble">
+<area shape="rect" id="Node000001" title=" " alt="" coords="213,153,353,178"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="5,226,123,252"/>
+<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="232,186,102,228,100,223,230,181"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="147,226,267,252"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="261,191,221,228,218,224,257,187"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="292,226,426,252"/>
+<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="308,187,348,224,344,228,305,191"/>
+<area shape="rect" id="Node000007" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="450,226,566,252"/>
+<area shape="poly" id="edge6_Node000001_Node000007" title=" " alt="" coords="336,181,470,223,469,228,334,186"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="214,79,351,105"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="285,120,285,152,280,152,280,120"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="199,5,366,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="285,46,285,79,280,79,280,46"/>
+<area shape="rect" id="Node000008" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="343,300,494,326"/>
+<area shape="poly" id="edge7_Node000007_Node000008" title=" " alt="" coords="483,264,435,302,432,298,480,260"/>
+<area shape="rect" id="Node000009" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="519,300,673,326"/>
+<area shape="poly" id="edge8_Node000007_Node000009" title=" " alt="" coords="536,260,583,298,580,302,533,264"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5
new file mode 100644
index 0000000..664bcbd
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5
@@ -0,0 +1 @@
+d57ab6e4c37c557ee959ea8c8835847b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.png b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..dc895de4cf0b77646637296b7f0aace7c454401d
GIT binary patch
literal 22170
zcmd?RXINER&?dNvA~|Q2AV`#qfF$K0NRkX9Sp-2qf&>YID00Y>E>RIA=Nu$RkRU-N
z=PXE&q<~1AI^Oxd?w;<M?jQZkj~VWd^LXw)d#}A#t*W=)dTWJfX)2QtG7=&PLUKz5
zrGp^YIS7KKMt~3BtcP)0zz4pSnlcJG!~FNQF((#5Sdm+(>v~?PKc=6U#NR)aKOJ=^
zz4i>7eUpinQ8guUDLE-HGm$9UE`rFoPcN-EZDh=7<RGQ{pRz(OjUoQ-A+bU7%FJ6i
z{JMi;0`b(ACJNWb=TnbPPH-g4F3^%qUETJUyCAdcFnZFo>4qh^={7w|LQe5N_#4mJ
zy%NxcZaO_&zb2-!p6khi(yv=Dt{+)9#i7vla~`Ni*f}VpFURXp?G``pB7LdLZXZLh
z8InJ@wG}ltXVKWh%DcGG9(J&lV7`0hIXZVH5pIZvzg*ll9?Sz7@c(C@2{G*NZ{}#e
zZvDB`Q)c~%vQf=WC^>un)8#aNx3sjhi})mrFRpDhRLs=)uMTh?ubZE>o}L^<$HqQ4
zYxK4}J^r&YRVRwfb;t90ZPtC?UI-Ixot~bapS-Q6)&@h{`Pn1bHatv|b35(k<Huq*
zZru1<c2D`obUoc|nVlDHHEO6K=It(?esO94Q<;%s(*jS1QGQ8D`t#?{i+dMm+j%WU
zTy=&An|MyUJ9~O|&bI{%KVH#lINGe=GydNHPT8eLpk^-RQPXu43b!MIDcJn!AH0^9
z7D?X&A%vBWkLXdu4*t(yzt*!}9v}PunEh}uIU5Vf$jB&tG%Gjd+(x1T<J?*7T)$tB
zLZOD#IWJvukaYcq9{Tu3*5?u{s{#sDY*NS0z`zhMCnzAGA*NBFosyN6lM^;<U*!B@
z*goFv`)B<>(qZlFtE;QxP8Av{5|ngwhVPOIiHPt5E?v45SLZ)f>oQRDXqNCxN&eRG
zUV6FoIkF4<usZQG@(yD{6co2KHE9u=L-Pdb`~q#%C2nq&k)pe{zoqmWquAN&>gr-r
zQXc-^<Gf;0%L?<7@%uLc{8;?$#7kXydHEzMx9r-wx)2@Jjz|{1q@*Nvb{N3r>({R@
zeE)v=^z>B3_A@gDMUs$ZAWBJTe1eCcKTg7Nq6;QV31xkDdP2#}%)hz0IZ%FI?a$Hd
znG=!07x}Y>$7@5k8X6n3OzS<$eSSMpP)I%bnd$Z9$*1!BJs&$emDRaoiJ2v}U~;T#
z`cj<U--^>&SX<*QFf5^^h~`xLr_0oH`hG#l?nZv=>Pr8+rKY3Jis|C~t^GrblFuB<
zkpzg8^PED^Z#EvDTUPh(DP>wo7CmIqm;EO(kz2sH@>OrII)jW?X=0zv&d;AQqh>xD
zU>$s(vwogcez$JjqA)Zxyi;W#e{gu%y}vQZx0@$IoC7P^r{&njgM@^J##B~{jaS%4
zJzgD9qP=3m&CXsk<6TgAx8^ggN<%{f=EcjOo_O!<?ZpQMVpC9rL`Bg(di3a1Utc^t
z+HSJCNapBAMa=8h0=A!1ql-=JyJ3SYeft!<u(-$p=Afgc#VXji8?(DLYmN$S<w24p
zT{5ii-~ZI)cZ9JUxq~^JddE;b8COPFjgqEA`>YzZ*3~#3UF()Wyq`n5w?8Ec-@{x<
zdQr~7M?>GQX7rqoyVF#yHcYK!ntqnAWRV(+`1lu2{{UP(yic}ieq8MAe1^qwlaD?$
zPBg_0Nm?``Az@*Q(YoyH?D@u~t#(#c85>PGZ@g6x_c!<q3iKl{%3n#&9>1YfU{G|4
zi|eMVn_K(j<RmSDZC^6yV9sqiifA(VW3A)k<4dx#rsd`3m-zV9X!(s;)6>&k7e1bM
zadC+@G<%|S`uoFKNVZ)}LV_We*lRhz34@-ovU^KOwr|QNvsI?$Mn0UK9xXlcKT44~
z*&X~j_nb_1eWYk<r}H8mMcJgMk6)>wt-5-+mzS4{rDgi`p=$8p`w{Kf6BAR(s?mfP
z#t(m%Qy4dXQNj`q4eh+(W<U2}w3y|+$A*193ngXX(2!oDI+w$EIiBhJ$JakRJt=*>
zssomR1f--eaj7Q;L@-@#wJNjtwcM8|?aqs^3JX)*xpQY_y8f#7?#i<ZvfdUO6IEKO
z={~<Vz0OX4m%+kUKAOG2#>R$@h!D`d4TE(&^YrvozJC4Lw8XmoNa3A>@A79MbmqPk
zTOZEk_J52&ubF+y#KXhmapY7&w!cP9NO(h2lN7AFp0Mh8fAW!0gO@O>d%61G_j;ZD
z<JU~1&uG2|dq#Go+ARvH=Jqf;Z6hNBTU%SC`L_JY3(eQk^Ucq2jB1_Pz<`5ay&^{x
zEG*t`xa;O<wtozv5`KE@Ra;*_`H!Xj^m}n%Kfma>IBOyiIzcm(hlj-H*Vlrd;heJ?
z$h@VZq0tVuxwG9y#=+0uJ5u~<w{!M2r)8g6N~8{DC>0fz%Y17P@4w@AfO~=YlQS`e
zU4M=rKfXVZr4|j#%H}ZXL-u1hIyzc=<7x4y)7&jTO;`(X&CxhU{IvY0@2L^zm9K0L
z6P4#<xingnL~Z957oWd<%ZfBF_oYN9CO#kvSA0qQ3|3_M^Xo7k-R!X&OK1v?S8v`#
zCMMFO31VVm$S+)obYCB_guMqbs(Gm=VIBh6_O|n6%+39=hg3-F>(?%OYx<MFes4~P
zMaiGmc26R&l9NN@;;1t-Gg&1hXkma42D3@<iRmqB{`wNl+qZA?-zmr4YWPJ8ZtX>D
z>kVpZYKy(KVRU3<@ngq+Sdh^ZlN5Lz6iSby>b2WMoty1>GO~n#07N)RUF3c@H4iuU
zEBGCQh&B4)=twQ$imCO_Z=Xbb_8l;O;L_#GVd$>oKfmw-jt|#M?oUL7giyd!SI5fU
zNnX3wQ)xGNNnYNZpEit`UP!^j#3b`}nj9rPJvX00A-5=9xwTU!x(gh~{h5X*9+T7*
zFm;izusy*SpMqB+qUC=Dp=M%&$FJV{v)yWmL6PyNu4s-WFoEjtdc(g(Z9nUc2d}LS
ziD{U5&EvUvdeXt4i@SR~1c^xlDRQ1`-z$sVhpgoduYMmgGtW2P%$H7eQ-x?oJj|8)
z&p)ZD{B&1La-Gk>lFhhYz(kJy6J%WNkVMQPT{*C?`ngsf-Zbe*TqE{gXXK}r=jR?a
zdf4kbhN1;}rF8WDN{YeWsd<c<cE6@8x~>i7F>XA6Kjb2CR43t=M*^6HJ;Nrqc)n6%
zU~q5=d{g{-$p<sJv*Tah)3o9&f48*DXP#(HFo5lY#i+%8<%{hQ5%#VGqtRXDUe$8Z
zng9zh@fh$7JG%(=1u0H&XzXnklK<`JT&ivcuSugfjdIk5;d<f>5s2%1SDvAB&4g1a
z^>3h>dcJ&7wztop$r3w%Ht6d&k#r?z-Siv=2T|B`e5x6&R-<cNhes?frs}fi8;Ul?
zIU!D0`P7H%Y2mqY@GAL+Tzp(OTI>fEGgagi(K~Qs?MBKL9ONyvQ|bl2t81oY0IHY(
zR1K%(Zct*g<{sFji&)0I+569{`vX29gkg`QaT4(<vhLkNp{$)@4)o+vai3nC)1p?z
zLI_tRMKAcd7lxwI#F6uH=(YCV*DHd7`%9Zww3L)}L(pj6c4t-8-i=C;i>nFF6hY_M
zN5k$!CBt+b0Q&2ir{zTJ?ojA_CnO_0ZfJD2eNLx@LPcQ1sHCRGeWys8YeIvGEL%@V
z?!aipFJK;jaZ|ZHYFAB?ujON>ReKd15v*FrGk7?&y>VbI7JYEH+<+igfNk-4OA<pG
z_!TYu>YJ7(9z7@Fh5a}0kOFRXyIdGT?ha;If+<_9IZNxmHX)jX^m_@ob;apxm^-%I
z+QLTX+G#iIkQ{i{9eLOXwyVy|bN&uNq>dS21ENqQjy9=X;gU%hu#2+xJvK_i;8o)1
zFqHo<e=4q;BHFqY4@Zju&3mqx21oloT<x!~U-i{_sM|r)_)s_|T`~CP8UX+3e#yTV
zzl(bh$k{!xrlw{li@t;21bdDd_h8*Ll<nL1?~7~01>OnQQPwK3PJ7LhlS}}5;R}5C
zodu<10Nwxo&%b^Eg?iZn_5^?bE1#L~AOK;2y>~)-82G~ZE&sD?HzS!t*c4yRmH40V
zeNL6S=W~n!{0kwMU!|nn75oeKscy?W1Bi_@uMXyvInUp47%Rnsc-syE<}bLmzSzbS
z9r-y;KC0^B=$dJVI1wr7P1yJmY5uz_+EcDQ0td?}k04Ka=Car^pJ4v<y0fzoU?XCr
ztGm0E=~06vQB>qVX=za>N52&Z#SjHOJ!(wgWOAy-va_?3gmBsDkN`H6d;NbGh+lk<
z|1VIdnZRICVkQZ76e=b*7Ed8aI)8$0|4`4=UkMc$7-&8H-rXZjcleZ=0s|nYrcCNf
z1R?6;-BM8@Z|vm7z;&D|lANbcpNhCGtGl?lQDw!2vs^O}5fxQJUAl5b6K?YH%a_~7
zCnxt|e!&}Aw&DVcEw9owGU9fesEh`P6N>JF)QeM6(r9XWI_rMVKR*GMP1CNt@jrdC
zI+Pdd<>RAP@3CPG!IPcc_2;)+7~~9>0kn+*{KO#X{MMw-wcRP@>h$AS?yQf)!}<m#
zW&-T&YX9&@*KfY>F)&}9RE}h(KwRgVpAjB${8!N2-h6C5wy~3viYiMfj5a1IiRbw_
zGTMr9els((pA!#DK220TT-vPPs;<)3pVigT`FrysW6q|grgFcdea6Nuuu}+07WPb<
zSSosYahX|JpCImKf`yfXwNOyh?Ty^M5A#^f`fX{6^XT_h!ruC5SV>6<gmW}n#n-n1
z^L|cF#nv`9s*}}@OXId_@jrezNVzSCKi-(o|3}dL%H`W{s4rf;_^GSw6@dCDt62$|
z{%5D`I@Fq2T@X(>0o{VhT*kt}`q^^s;+Ugu=0fyfZLQ>!y<tPX#zvRLn}7(aCkk}r
zQVpsE^VfCVPXzubvO+>8cl1M)g5pk{Yu41$qYZX;k0Udk#Q-cESi4ANO>o&=UTc(^
zfVCWd%kB;7Lb_*OW?bZYeBjbA)<<h&TxHKGEG!I(9N)~$OtpgK!x8=@IluR4wC}-u
zFeXuh>@g-jo)chexkU^1c@mO%s>_<_u&}U(pWS>vKb)Q17So6Y<R)UdvAa50ZH!6w
zzR3IvpO#Rv2SEE@q3iGQq&fThL5*_5nIDFObbb5;^L8LX&eNV%6H29|(2ux`qF612
zyl!Qps$j!IMTI~|SJzS`sq}siEo4i0Cx?4&uxTwNQm_ywC#OUqOKb_JDT1)}z`m5L
z_aOcw0Utl2Ak|6t+?s(veh!1NVNc)S3EG^lUp)Ce+j+RR-rwZs^Wwz|z--m(vPE}m
zs!wL8r&;ju@H{39ivTu$`}S?Feygcqd+gDNla~OF6*C>2Dry9O?B#Kt6lrQ4&eVHu
zO>E*rW)m1YgGVmzi9x=WmTZ6#u@L!_T`Fn!wHG+&NG$-|j@3N62(AP{o;`b3J*x3q
zng%BC<H642{N`pPuoqMc+O@lTdrCSwF#-yv4PF%E<KvQ^o6Pv6%;;OOTx{avG(8D|
zoo!_D;iaWQck8(ZFZx&f^8)4LIARcWL3VCwDQIlWh?r3<xAz_xtP&V~(AS5LU{C1Y
zym_<gq$rZ(2=L`FCKY>qho5#bIXRe=r8Qe4MaXX8QmT|2zMPyK0U;qa;xN;|5E2qn
z-7IO{MGk4Z<>pjfqR9PF0li3iVQer0bV$fEG%F9!`T6;IqZ%ic{jJ$3G@8Jq$(I3g
zc>*%B8i6e9s748_=J9a`!xFP9S^uq>#sdIWe2p8ct09nj&%O4XX@O^J85yBr8x)!~
zGWPfPW4tx5!|Y5`>1fXT{Td0s%Yd;&DknZmZA{fwya*0fQ&0#1H<1LRfh~tg)QA~G
zP~efW;FU$5{IpJz^{K9OoHPIr2+RRQ2yBI?CwrqJ8yz1%qH}U`9{(8AhSj-0QE3;G
zmL^CWrUWpZ^~#ki139-Zo+l=bqv11%OL~4s<gza6FTj2@BLgWix;IHw89dq&Og}Y6
zG#(MH%9l5?jvH|witLgbwp)o7HaFoWS1|Mf#*m66Sam!;=QaAdEcYhy9_huN8eo9$
zY{7p5Uld8U#C&Dtw{O;U;97!?{2}KPnZL}**<Q^*1pI~d%GdPxYD3qK6JQ8>rb_IR
znXh@MlU|T9TCdVAu-8R7u$4<duDtXgfOlAD7&C1TS0CB!ADZ3$KV8`xqvk^n$eWu^
z_V3mKhqv_Wi+stbWAq}RM%ZR<njwtonVFYlP7fBncKeluy>}lp_OO9#rhij(dx#+D
z#S4qsCO=G|MtyUZas9uE&{7cJS;0Wf{ZFc9?$f_Sa!-Q5;p9qLNpiXhWeu$-XFGna
zC*}Cl!AL3bb@jVfEJ4C;41Q)m;WxgNo#YZD<`zu+^<RklS&B2m+kKyu822j$BiE`a
z5ujO!%M`<WoQWpKvpivxFEIGC>k0-7U#;+`wxyUNL&y&@zgZ@J=A@vAZuyIdqtyuT
z=135sbS*s>Edc5H80<OB1lI<&W-vLAP_uK4hSh(*4?lSJ_XmlM`Z8h`{K)s1qqycO
zC8DW!_wM`$G8PoO9F8?-d?<(afITr^7ZCFh0XQn{Msf>Yq-e@d6KT!iR8jNGhgW)c
z4+B1ZtWyq}U(6E<8U8H&6c_Bn)BuT;J@sE~O!%7Oe9?dfA$K#b%-3cZvNi_>{E%L@
zy6j8Xo8fFbltB44;J<t?elNHZ=j+Ap%`bEs6;@V?!w{t+&S9W*9OcwGy!&Ujg!txK
z@OfcY7%5;@T=`p62+9L=%&|47UDc*P8w57z8m+#4ScJh>L&v@0R7n(<kLdx`=C^ZT
zLLSPR{;$3K|KL*<z<+Y+oeCQ~zN|>VxNLtO<Cp6^Yh`Za6VCW<SZGwHvc--@hqq#~
zgyiH%mTRq_LS~I=D#1Ll+kgeFrlzG`GsUNfPT#)D9sT^tlP4|H)23S@xfI~7Q{y2=
z$mItU#u)d1mmU6h+2Z&iO8ORXBUfjApJNzaQ`P685fMrT1_oJC5sc!57cN{NG10!W
zKa&7>4R{e6$bN$=Dk?~a0j>GLe$0#oHq#2ct9OD+AFY7#3(OYm_;LnpkIUh%9iVW-
z0}*VWEw!gl<(dxH_?-V-X3scmgH^|Wm5^|bBJZ)^5C9Zly%h2$Ouq_TzI+aNRvNR*
z>|MRRFKTK$vq}cVNZ=*oFSHaE_Q9n_{QnpadvvmRT6}$beORs}-#C9=QQuF{ZqUAJ
zBGT8GpVp|zp!WTH1Fz!7-&xs{9PAkrmXe$U(Zlxb0Kj&@gEm{0%>j<?0FW@hwifzM
zIcg#Hw%m0C16p-1Du~O$U0o{t=1t7-_Fi+(&LPx6ML-x5#$LYNQB*S%3jPWcFY@y8
zoIN}`AdrCF6L4phI!;O)1KLyq&TDFFN(kV~<E<GMxD3O4Z8rWk^F96Zy{oTJ$-;v5
zg3k|O2yOb~%TNG_PD%>#oOyCiH(UMs+388yy-reQS#N5$<zB1+!kPkIQvv-wEQNUY
z?5r%y{tP90Q5#}lSfc^w10p5jiaig6K4+l;-%DbKKnT_2e&*d3H6`HxoM5{@j(h!@
zB#YYY>7V<l^8Obf%Aup8l%W!Uforh!=Bg*1+T!^Px2N2`q?><ux-ytUW@TmN4Dq1N
zL1GaA0yj6e0<19RdB6`7J;x`x@!$bBFrnK3YFkD}>14fkn+?tVg8WZ^r8&E}v_N7K
z0vtakK|(?!Dc{IEp#&P35|h_pZh#5<eOG5q?xzsZUHRDX<d=}+gc$C*b2!KZKtit6
z_zxtA{MoT60RNsTI&$)WNvHZgCjr2{1?6PJd(&2Btel*9K)}mHGD`&x7Z`F}x`Zp(
zbifWlw+vX%a7OX&%_9-7ZHv2&`_+cA?^=P?l7c-kFb<^AJOF^^W(8RLbHI@Vp;>u(
z32UZ3nBaY!Aup7al9~q|i{SkEXJ9a}C$Nxnq|D8*?u0-~9`6p`E;Zt(mvEp*;l6qE
zW@WNQ5Mm+$1(Xu7Jho;c3Jdwe0i@iP`(vGC4CRA!z`;M>oMHgbCFy_KFfGAH#mpQI
z6&k}QOb9#@m^<U;0$-z|LRufc+*_}~7CYQWP5)Az&0t#R1qB6ne~eSvR4@QRReIDE
zXE1qk1BDXDY$0j;@p4Xp&G+l4(-qGh1HRExozF>o+B$0P4@)lncm;{gTX}Q~20rC6
z=_u(uhj{P*2!X7`3fNmD0O)^AnjA!D#$EB+V`Cy6h{r?;$K;I%_aJ$IgzVW}r@Hq2
zh5<Lp*RNk&mKpu1zGEn!<Ys(FVE<4nR{Cz`11zN4Z~VRc!^wN9JP(rbV?XIF9qAbR
z{h(uKhuAwX469>VW&9T>+kSZyR8k^{p}78hPg?{goCz~R#A`Xp)}ds5wB({ep^@b^
zD@JN+Tx9#_&%m6V%VxeiN|VZ~P_gOy@}(23^lPJ!=kCTN9egv^=yMee^=pBl;NAKx
z`KNTz_LGIT<A<#<+%x}^#>Tq0oL{i=pPH)<KKwvVA?^-5ii$GS?Fveoun}M^7w1}@
zV;1m=>3du<GBV&O@e$|kx$BU2jbjgyT%AH-;xH*Xp#6%VcaUCFNJ&XSE^?8Tz1H`S
z$Ug#iUqaqC57^A>Xrm??_8DfifOSx3EeOTHPX`GOLBTKk$B+w5-ix2c54~aXCu&bu
zSGPcReb($^enEvqzPGu3g*jy8PF~;QRFon6J=hyHFLV2@2|3)tZT~|m0N?~!)UZ53
zu(XT-@>WKQm@p+rV92S#?jC><obKkxv&qR_h?4n<E@}jNbRKfIkHDUyAs@l;AS*Dv
zFUc;F#(sJMxm<6W{KbvQ8fEZQ;Fo6X>0)a}xe$zv7&Ur}^V1SxoM2lp*&;l#JgDwx
z4VFdEKLTS={R(nC*?8ptJSWFCz6$fE-Ew0EqO!8nY+GupPs)ZjVBPbXial?9W3901
zBQ#KDsoUvbDlnz1Xb2A{hH?Z{$KvbGAa#O5Wlhnqr0D2p5H%Ed0O;W|1AowZOGBYQ
z>D%`&X~8u$SABhb9e#%qKv6FMxaY?JNe$F4=nr!tljWM6Zc>nYVyY&N`g={1_CBzi
z`@Zz__}I0F(u5V~X|ZQ;y@0fn_${RO@iSWxiRPcc`oT7o!AxdXSC^`}q3b_BPgHp(
z^`1@S=W8G&-k<u{FvYit{58M4k`34b-%}~Yr4t0rJKnpm3qe(NGDZcQrUqUVd@sTx
z{kS<0j|fv&28I<10q}$WK|LAnA!TG^!v%18@5*yVtb$?tk$TA5-a%Y)Ev>NqGV-Tt
zVVHKH`heJ%f?KV4<BXgC&j);?(2}mqJL!dgs?WkW$?{pxarfrAkqql(XE3haRdi71
zK?h%)`-XpCM6vfuz^C)2C+jA=_gw=MP2Z~9G=C~uao1FOIG*3Yr`1_KQiXj=%*D<d
z9JWox(DkEepnD<wS9_VdZvKjo9+qn6&FeN{!!&~<#QF@8#f}{b1AW#l_pq5Gw!KLz
z{zD5us>{bR{q%|U&VW8{3DNd`zLqauR{n<(dzRj*E74kBWC~$Gwu&WM;31q}yJ;-&
z=Q0Cq4PWN@4=FoB(UAhEtrk>!&uE4vxnAG$3qA!ZEQ?m%eva+rcZw!@sl=2PR|5Kx
z&v#8JYHf16-M&fWi->B@U~QvyB#Z65^xYKI{TzHe3UQ4!4yXfX#HY6;2piui4pS(P
z0;n_r2+h#jyYZ6_YetW7_=~b0w_f054WXyQDpj4@;;3S}1X{C1?q(V87wG1E>R#3P
z^!Rl9pm)`}uNkgoz8=`VhR`9&h#}2(_Hd|wNuBa*&u`Ti!e~YvME~J#xrc-<Jl%`Q
zXrmS+Q$l@H0I-TLx<O=jPl5w)IGCdVyQ#`ZxL^Ca<G!YyWtA0UK#mfdf*m<`B8pXY
zzOatweaXr@LYA_k<j~LrPWHs-^2@fgym*{}0?Dm>1&YJJNvF+H!zt!)@M^;vrP2w5
z$dCD?)n%8uHmE4XJuwfXs59#|GpohnLL~<Ti#-d=|K_8I@HDx78ZPj%X+zy_9C5ro
z$u^o&=%vonYY<Quqm|9mG8E4-+&TKbXu=zE0cvTsTLJ5;vn7a{%j;Ri?TKM^2iK2H
zNWl2Dtk~he+jzBE$sA)0Nc9cNwqZW>tdKU1q}36u8v}-t%;rR=@Q`t+6E0>w(6m(}
z*bh7ZT_dnm^@bH2b-4y3SL0QkcJuXpTZe>aT3$D?(y@)G=S)5g7OKvpg15*U9z@#*
z4DRwJQwV<HX_?jj6Rl1Zs;Q}pzg;~{)5GF&V=M#LMLH#_9a(<&GwM$XcZ-fTJ<gmB
z!l1g1r+&bHaqRSZZg<lNBO0B|@lrPfpSI3ys`2ie69GF``1O8@mglOaeO5PnlPT6v
zdWDb4sbaMDeTI0OE$_FFt@sQjJ<PN0@Cec3Y9MUc<0kaf_xClW?qSbR)PFsy_TE6W
z8lB*(L>cgpzTB<rtY4{L6`Y@0+m(Ief=YZ-X38GddJd7%^0vn!Zxm6N#YRLwy!zaI
zK0Vo@68na>*pgKgGFfQgyRh=74BP@tmNpJ1kt@7HZ@{e5iM<^#ca7VDoBv}+)jNIF
zKcl_j3D2>oaCr`I(vXyRx^@nRz2xnw8lj>QG-Vs(3%F?U{occ8G+fN#q)=3HPZ_nh
zY3O}6M>AGH7r>3CJeHDH_nXUwwZ3ASN-Z~xdzA-I6gQx?Yek60@U)KXDbG_)+NpQc
zH?NbEHa8wL&e)e*{qp&pJIkz3N1?6z(OFgR_JwgSxj&lpB&<4EZCH}mOX&!i>|Mp6
z;vj=J$BAc+mH1vn-O<I`ucGM{lNi<hjTR;k>@*$vY7xB+*KgJ9R!|B_`n6Nfjmus3
zt3qx5(~8!fpz<Sm*Tz~epLtGh88!vYW&Hz#tDTio+CMYwn3@HV>QIXm4nreWc6(j`
zq|CWq6erHqcmrD0e$;1Kw=4^WL;DKa^zAh!ldBbruRc65N)>V$p5`r+TYFul=tN6W
zpS8lV{?m<D0Q-j-P4;Gfl;fz9UPCV}$yu?3fQ~kK*8KQNw7rYph>)n+O+_Jg*gFO(
zqw&|~9UBNHa3lo?(-cdqV)>dpK5Dx_0S4+xD~uXZ36VAy);qp!LRnh5=bNxg+05H)
zh3D7oO()-+yptSVAJAa8w~>*+rsu<sGl|ZBk?manF2VjiZS;Ekk7?`=*A){)u&THd
z%>qTeiyH2lel7dRm_l>8g&j>D6oPnTtKgKf5HiUWj+OD7EUlZcQ$$~ZmtV73rW;_e
znIgJ=iTV(yi^hU3fW)bIZ1=NPe3oa#aEOVZ&7((!h!9P)4&tWNqIVqqge_ofMaaFR
zSjoW3CUuHzPVso>S5H1}TG$OiMAL?(&G1Em?xDVs52jSt9oQcqarv@nbs>Fm@ro%2
zg|;HZnEZ5AY?O3>Amd_mao66$!bU_C5>6d-zTn32e(r{dzNn?6i{!AnLYI%_TJB8M
zKQ#}c6F<*Hav*_mfn0%(kl@`QGOwg0T0n4(iU>^Iq7LtD8LwwdMIUHU7b$MbQcIxE
zGZ{o^oekFCgzOH?%vw1w%8UbR3axXoG5Lgi^sAwo>x**>?So2fT->`<Ex7}imwLlv
zm9hAB0~5hb>9O=w7I@8k|IV(mO&!kvr_I7Ruu|;1B@?x`J>mS#<QOeF(Z!E+ftFhI
z5i$A~LK9d91ELHg^ggU%CbkWnf4na5D@|;2+_^$-2PeYIMKa|YzJ#gULC7;zMWe^H
z(nhCJ+B-ihZ8{DQrO)?h+c+hR5~&**JuN#LzuVrn5UxQ;&)PhuZ@H${X#Y4fM)XXn
zjhlO_AYg>sZ`q&zlqd_eB^`n;rfK65_X(p7;mNyr$QPuIbl|K+##H2rJ3Qe1u$$w@
z=GbfV5$6F<Ace-C+`HerU3Q$Fk+Gr4TfXUY4BIq5bj=*FJ>_eWL|Bkiit9jB-@PZB
ze;b7>l&T}DznO4^i)^r}P*YWlXDJw4O?a$Y8H}B8wwJi~F?62y)>iV`-JSF1TiA*C
zLAkK)nr6g@6Lgf1l(A|_nmLg&at8q+wto_II5Rq4%*Q21xIWvJL$Hvi+JPhnEr-MN
zYjlkd3(2&vW#t%^;V9%++!(7*U(1*g7pJEX7bR7DD@50vx+1jqa)xub#`W^%bUO7<
zwSOcAO?Lhyr}HXqF@~UjSW0GbIbu8jkx;_{p)3Vr{8sXnL@<@A&5u`ds%;)fXRl4T
zQ?VLlyon=Gb5FnJnqA|%9rxh9cJm}5N+r4=daPy>*ZA`MD=BKI%&RYT?OnS~J5SA!
zH=LsqS09dzjg2%H7Oa+ue6();t~GY=io&<heqQCR<Xthh`eQu89@Ko1KF2mnH@RAy
zs-2I4SWxcQnHgfneX2;Jd0@Td?5_TuG6apld{Sv|(rrm1PMpf<<i&|s6$|&{kaZ>U
zt#nJBd&bYJ<Y)xvKHS8*=;_?v+tKi|wJPx+R;O%V;uozCI1>rpYUsXk(?CTK!Ezge
z<rxNO=YHc*TYBLhu_W?Oqyc3!>p|{2ri|o=NCDw<pF5mxWnqQ|^ylWh5nH9w*S4or
z(HH17^R$y1^^NbOQbcAbFcLQNHYd#8zks#<ZaukN;|a1~_kLlf!?|w!rOv0MvsJAF
z9o$LAo~$P!xh}xqwWT!bO5Z7>zw5d$9MBN69?5Yr#V|rU$$RtxZr@&J+IxT!lPL0Y
zbJPLb;2!R5C5LBwoi7(Aq~~mYt(vYy<$GUej8L>%Z1nbJbna8()EG9Ub~Qr^RNVVW
zKl}hklbSNhKIghi$~;xQ1}_=t%h=Ul57u+N<Ncl2?u=+w+levCnKBf|>=j3&lks2b
ziiF>Bp)ACD$4XBUgvEVF#pFL>!iwp;ezBaO<#n~4{uUOba@qA+;6r^UrEn3o%9a;J
ze2T+QU#nfpxEVel_gLTl=_Cq~#mdA+KX1i<gSIqZReOBHQs;5*q54)bW5I%2eFxUI
z-CBZ&dnMH1#V21}Z?`>F#(r@3u=h-Jc5zZEEH2ygHEPHUR`@v|jml-5S}cVaZr=`b
zYw@c-1ztv}Ww)?!SZl9(XCA7;9qW~=LvA-wRb#Cbi@i_^E_m)eIy8pie7{|DCK3y$
z4Z4K{YORrJKE=L)5(g4=&#9kXm~&6jKat!HyCdwaY{0CNCEuuCVdH|hY0dTYoNV$Y
zX+6IZPaw^3b{1AMEUBmuLo9~!qwS+$C)q4zukD_5#v{C@R4VXqJjtICr;Of#;Wl!6
zvK(bZ9R`>q4m2$irvoJ^xq_Su{Ae6<B#5FveGLsa5Qpf}-a{m;%4R~%RY<5mxmTRW
zllUj-@k@r^v}u3jaRc<Rd~nBXsup6!f9L-49#uhgG&`%3>UwW7;KovaWo(cElzQem
zd%pQop{18w9dW^h(A#2nu`KctvO+@Lb<F*qY^&|KmCs$s5+V$AMm9MU=&O@U?fMAZ
zZ@?y3ktfc1tO06@dQYM$Q{RzIdSr&1G?P};>OieS*rrpBtia-2K!H^&df7wDz!aUE
zwBtq7e0F}jD_>~u%?ziw($dqH;rL%EWqzgQ-nl24Wz1I--fM(hXjhh%pr*B2oapCO
z+G0$JS!iFV!8vIBdVc=lmO;X9ah?=UQ*BEa@+Oj0S8caAhlfv=C3grImyB&G+`HH6
z79N^KCgiTd9T|D#VxNfd-U&$g)xP$n*NcI;#em`%jXl*<V7bb{t9i=XoPwBzkhafy
zVVk$*TIbb?A(QE)Ep4GJJ+1mppE)VDWi2GLc;kDC6t!7duoS4~)M8r=F3(kXDh?|(
zK6K~?DU7VD<#PfLBU53!KCSp1PmR7iLmo-IgatIE<!xri@oI0x3mME+uikH2(J_qZ
z5vU6<i)FZLKx}BZ3p<7xv>M&$(0EcI4il<y0|lc`Rh3u{a|41Tm+kA-X@h=a6|S#@
zG8}Uc(%W?OJRlfR+)f(5NcNMR;xO@oAWL6!*Fu_ZIwFSmgVrJ?vGkc+c?ctT%W{Do
zopFluR}CG!ZF9Q^>N}RLZ>Gu=2GqpQZNyt1$UlAIz^^^Iq^W(t+<eurgx$3b6<+{D
zAMcgi39_K4zWL6YRK{8Be6?M3XTt=Y_F|j!gu4DuiaX#CQhTyW7GfWnVQ;%WPV_e3
z^3HXws8%!AV54mov=L=Lh%Oh7OZ_9rc=P)FOw7^`t@0)j!Gr5V+(M}m99f!I=<((x
zkObu8Pw9Pp){G2~x%(8y{@5~gyy^nO^_R*Yc^6JSkhpgam#&bp)gZV)ukm4qd|W+w
z*MA9xO#aIh40LUFREE5-{xSJ}SV&OKM^)|qxW(i1{UP(6z^yZUAw{eTgO_>3-lHgS
z3}jX+RYbzL!;M(-Kd+fm=@)m)f5y8@q>ese)w_>@Tr~G29j#~uD0P3b)Z#JT3~QxE
zrm<2ff&>~O8+ZQZgfj;U0m7=zXWh~Eu`}Y@8|p_lCM2aSg9#cm48py(F6^buh)4S^
z<%shHHN;TKiyQhjL2~-F{$|E<_<ZGg?%zAZ{}Ho=UonpUC|a;|@5n*$d4kHo@oB<a
zzJG$rz9czl1B<z+T4$KjpAOV><tMF{EtII!hsgiaE1FO^-y0T6zWRK=GMbl8Wefa)
z+0T-G2uK2bf5r$|jqC`_8H)Ge4NX)2VyIFE1@lB9Uhfx&C73b)g*v^p^#{FYK3HDq
z-@fNl$=#7MVHvDLW!OBMucSzV(6)?CT=Ii)$V4P-$4k=8n2vA(tFp{k*s4!<&9?C&
zd#4w_fr*>?0f7R2z)rs<ujW>AuG8PF?;=jRknwpg><4YPGtrFrZFw#6{1H0LDqDDS
zcYIlniV(R7Qr*k$SEB7L_cd3otE?^~wg|_;skkf#C@)3)rWV2r%<JbE#)rvxsQdF)
zJg;<;J#)ai_S!d{H-Bz_Ga}Bx7ZbQ{ocs$g#k(vQWJ+~eVQ1}f#Ax^iWhS);b{9YY
zM}p7yAGV_O^kmHF=7bS4<>0({?*vq&E=10R^zC?p>YY|j)M)VyNeva16;}3>J?@vG
zzQ#gxXI~7jyq48FjW$p@YYOIB?KH^#(fiQRkY{fL3YW1g+V||r%F1S-hHn|^RKwFR
zmL*q3>aEn0e6@A;YuF5Lf$){PZo9?xo6^P?Nv;kHR}Q-N_|a9;-g|WQO!`CpACs7w
zJu$02iG84yXb9gbnVP3%{;83&b3Dp<yt9@<^nLv<`|l6$Oq$G>n<?}5i>H9x-SMWo
z?*3ixl$2t%B<>IuWtH3IoS?X^^~d?;5-n0gJ?*n`u1@Kj9I{?gm+lIs1ZmgaF<S|o
z^lY4My(i9r?)n@jUl*Prdz9qKYxIos$5dBBt{x8!8#1o?I8nn`)VT&lDC(MuOST*|
z6>Z%Z5mrMJi=ZcOb?o1^5oQ|es=h{?pU=2!P3sfnaBepI`i#&2d~Fg)W7Dlk3?V8b
zE4%J@ZD@Ocb2=prgs)qZ^Yj@%*L;5PWc9wj=6MsupKFdxL(ZCMauHArshDy9S|tp6
zEDZaleIBEBgsM65|Ku~AHz6iJ52K^{^K;3l+&Y9~&F(RV&<B>+3KSGjhqxWoDQMP!
z1~F6H;2@RX;qJ5G;B&|vNUE=U>|b0j^<4Ri1^-j|?DT$#f2r4w6)?B@?>9hvlMb98
z=?{&zxx_Mg8{l_efGD2sXn#ZT=1qJML0}YAAgq|&PhFOIibS%#i%73?`)+l(ySf5|
zbyb!B@lL0+yL)@B%cA{+Y1@OyMa@AmnLpoR?{EJ4^{ege_2;$UE)AzVlymhyJ$?c@
zkr9fj72bbaGOC_V15^AADr!_`hoc{OW%g%$w$kA}z4pg#h3$v9cQ>b*K7CT6dtlt;
zD+TIv(#w}Gb7yTsMZ{vP)Y1zcoo<(06e0d_WUlj~KM0vUf&?k@e1hFS3hVAALW{vA
zrw=C{zCS-*UYY$M4;3mbYg=1TH4|f65;mUnJvm006>l;rK5F{I1p;dQcN4!sn%(I0
zd*uC>n_rnbU;jULjJ(W?O|Avui-x+2%B$oF=nlZe#f54&tjZ-0j&}p!v$C>4<}U73
zgYx!%Z&Wlw`1@{=ft2T_Nqk9#5r52^H)e|xla+QHpo_1{hkBkebVy)iy$kd6Y{1%A
zca~RFw14_^tNPKblh3Bc)#*!LWPhik(FcG2d;&tbr}8&c=+K|6W1tu@zDWd<2+%-}
z<`;KEpGX(<7;udYCZ5-X!4(!3G7h&2>;6duVbsa~<b9YujQW206sj*Mqzi;LN}2PW
zUtsAI5?;M3&6VpQ>(pAjsHmx_`4fau<9?bR9@S{{@sgl_^pju9<9<$dd$Rjb!#Ybn
z1clB+JvBFG&!C_nY=!RcfgrfM1xkdTsT{lHR5?FmS65fw%6nU7`G<xHTT!$AXQr4R
z4*d}16yXo<m8vr0M~8;qP*6aC!xnOyk_0Uf76Mf}XvZOgRs}Xz*5>^k1#9a|HhszZ
z*%8%_lM92l<?#?^NoS<dd+!E_)aJf_4-O)tn>bbVpAVw@TJ_KnewYpwhp`G<vVe>z
z6PVeZk-LvtW@l&j``f^BH>#if>bttw8bpMt5kidz2k}~pHxz;nn!A2Wk8qkn@q)Rl
z|MB8QDAbh=lOiA@3yz8+Yi$j^LI;)C$gf|uet_nw`vmkt=2O1E`VOF^X?k=uJ$gPd
zPtxY;@y_4QBxu&)H8C~qX>eNj7*e|!d9BoSshjt=og1S((y4WiLGf<2!*wVk^+U~I
z%B7P<(r3T0ZDK^xjm2|`hL$$tZjDp*q`B`79yT`i*AjF2N{4aEv)}$_=L&|6H}2{0
zm6S{8F%<Mf>mrmiG@PJaEVun~VRaxYjNhbI3x#rO+%vdS<MjGLG8gn4Ed1{l!~InT
zVzGiiDh>*I<28@cU=wtmyXb3C)7O1^0~BYmQ17hjo`f3vOOjY<J260^vTvtdfqxaa
z%HO|#{}!|<@ZYUgNAb$rv$2c7_Q1&GH$32LC?9mmpYBA7m_yC0WXI={RRc#3vnWkx
zFPMM(@NiW(#}$mOzi9L21^JsYuHC}csls~0(Sxa}%%E&ffQAcg5fPDZV4`$L#9^16
z8<QuevSyBY(qExGrnRLboPh%be69!Emj8B6LEi>c=?c(jP`0a#7Mm_bT%9RBN^CsU
zH?Y;%?y?)4E3Me0<2OQ}Sqc>T$nR;-iwg@2Z|xZ64p%tTQza>&jD4_CGdl<M^2N@m
zd%G+BPzSB%2w}SF^jAc-y!=w&ZuQ%@ZxJY4KSMWv`9g-NmxIBvvUh#{+~Kp;7!37B
zs62gW?e78w)|jTk8u%}8fKD)}FJ8X10-2ZojHaq8IB0B)TSJ;NZ^gcP^(r7PE{@P~
zW2TX*X3CXF+H*5p{_M{ekKgw|{Mx%*o`9#Rrlts$z@(BeI>8CY9O1b{o@+MHb%kwi
zZqA*>>nMNqYE7?6bGKN|4vsT1gC8+;x)8x=Kf;cSfb!EE6w6R5Dk@baqVJa_HW39B
zD?4<;KpY{bnAAQ1M+Dmyd3Q4c8>xIaN{V?e=;zpwGl)Ia{`I)eb{$9Qc@fB#t0$pb
z=HOfGZHs@Ef(_u6gp$;2SF=+b<aaTe08p$tOx03=nY6(jcA$e0K|n7W9UmVAtuP7W
znk8n9m=b3L^a^=_ZcNz!)E6q_m=bL>bQ3v#c{u&PYU2zxDiq~QCv8k2_Rz8iUfZn2
zQRvUyiMgl={XIAcrgVsDAplc(MrY=Q1!X~%_zz;Lm?j(u@Q;#?PLIFK--DJN_x!<J
zNgLkCB&X^3AQB|%>gjn7a^;}Wt*JUH9DL%^`iNx_Oo(hgxR+bL0dmulkq!D=;204Q
zI24N5eovEh!It&e{|H5MP<*TsZaoBeu)Ug-HsM#ub@Fcc6WjbQXdJlt`Cn92Ko=yG
z6mLK;rSn`f7VKqm2+9>FRm}AC4}7MF@^pn=7Es|A<uAY+RzI7C!ZI|kvGeeJqFufM
zNC4y?sn<M7LDBdTV;a!)0<mEc3bNIG8@Nd9Y7|bZj?AM@vlRC-n?6Qxa%auZRO0x%
z5tL^K&~YUMYC2GdfRGOZC^{oqo`3k@U*)(AMeuh~a;@eNu%(BG5}kXgd1P%cQ5GZ`
z^BA$FBAKk-a@A$cRE%<a2V@WW<4^x}b>}&v*r4hQ;<&<IKj>Nf2(Xf6py@*LVr_x?
zEpAP9brdv~m4eD!Br4$toln&GdRl#beVct&N2ldwl)(Q&)6fw<qlh&D#(cnys3(cE
z?`ud{eI&@t$>HGQ!e<Wz2nKI-5A+dZAN=J3dpZC4c^{f|IAmlRCZh84|7{v_r22$q
z@t-nCfCEk#%_S5cZ`L?XJD7{w^fm*42v-ayoj=<8fN3J#>E<iJY-sSXDz|R&{L(h^
z_LkPs(Rr1c8V-U~S`dN+egFjGx7#mLWe$o_Sl0aQ__Q?h_21px7^`CN_xA_HNC!sQ
z2K7^itt}8#P%torKm$#JRL0lTPO@fU>q=ozNYoKVMKMcJemMR~gi+E`v;Z89fQ25~
zW|7E-O{tohojvh1s=cFwT||Tu)ZQ(iEOrLyF!w#pzXRHQun<g@7Gv>$B`}5WPvc8s
zlgr+xk`MpC*vv#8EzgBcFuQRdnxm>e{noGIVaN2AV*ECyix7pvbPmFHsjSjH+z)3E
z{r1LZGw-oK2!%|cC5%t-!*My1yX`)xaWzDx{}Vyh)(4DeGClZ03^+lN4Lp2&g9%dP
z5173Du^hw33+~7y`M7X~=!_);GyfC!o$YOM5S&AEC^={sl7#QQ{I<M2VK(@6u@ik6
z<wAUNeM=Zr#d@pY!!Q1gB+y8S(W}DhaDn{DZs;;fyvD`Q^@iSm+hsM1kytN$`*sP0
zEDIYO0%WqguRw@4;n!<+##>Oq<#j`kN`KPX7;sU!Nv(7GK#PtyNj3DOO^#=RbRZTQ
zHw-4sJ~5y{1tQ?~A=}RN$C$7bNOX!uV+!&$qBHj9RGX5L899Om2f%V{%Z$E(Z2IS7
zl)Qmai4NIKqMR%jV*Sr5_g27{VB%Vt5r5UwqUcsTJ7!NB=r!(v>173+ApR6qez;om
z<zRLTo13N@^e{FJ9Myv?XxRfW)hiGjfQD@z&~~9KsU8eyi6`qTsBWZ(jr3Cx#*Hjy
zCeg^G?xa4ODd?--8}QI=6V{XBh+y;gKV$5xf21zC$@{3{_|xNISp(Cv1E0Dlu46hn
zRq=6gF95AGN68&>-;BCYWXLdtcJBRJwLs4<>pVp<9H|(UI&u?q<e;t38C}k!SV&BN
z*e;Cno~z}^XPJ%!H7xwacm7{`P_&m)2Vrm$)+|G~snYKGt>SfgcHl}MJE1q6iM5}Q
z2=9Y1oyB|a(!gy^&Bz(fS2%hEIb5-;g=hzL4UOS<7xI<iUk-ki1#$1OEf&FDuD^RC
zLXf4`c+%c2jM^XiK2~8|bQduBHAdM~+6P>}IEM!cir%O8f1MmbQb&FLCi8n%Rj)I8
zAC;_hMIi|7Rm`~nRh;a5KkFkIBQfpwAo+N(AGJ`JWhJSe$R9|cq4;sldGDgEJ*Yg1
zsJ96MqT*O>mQ>u0qNH=5{FNYzpq0WtK3={}Z!KXNgT!K0BFO#LwRnyp;>NX56TvGp
z0?xRB>sUzOY~1+*4KCkGt6J58f-CmPP(eeZA4}W|-qmL0!b!wtMFO$8Yu~PT@2?`o
zQKY)>Kl>yx2tH>!U~C`1jzx>ri|q3TiL;O8dPWS1VU+z8tE~1pyD#v5hny!<*gl)6
z|DBs#>_av;D~t0}sO4N_Zpcl}k#G4Aip*%N!a3uEGdj*a%h1OXc8s`lp6G|ju(8IL
zs#sYW*VPPkZhrt7+Iz{;xPPUbH#wNA|4`wQ7DvXx4LqCATc^)7*<?^SZukdJN0O^j
z-9G>L^Ttx}d(FO-&+XgXaf({^u@kw`*A<O?0}fFosqspgY8fJPqdMX_Xa!wD!e%)v
z${w0($8FtxKMuih0a}boR)R8#>vkv>l@fV2H9ihE&e!~Z+IsK~WLnG{AGD#}L%Uw>
z6G|5FRO;*8Be8r2nwoko6$%TtQ3DloNu4Ce3;!hZ7h`%Jt#L}SLt^P)k<R&L39Za5
zPY~)NUx^7t9m$JkMh*%JlIKYDk5c_OsEM&_Ls@YHS)O?Aq?2&yh&C@k16mip0dBrd
z7#0;W6)59;iz|#^x$`LRS9RCE5an?hDd9P+xY5P!imbrIj?bt*qA&~_z;uf_>oXdQ
zN}uKGFjTAq21&UZ9#vS7De?#>QkacKJj=IwG9;qWRvYnb?PXuNcE!I>dP#XRZ#ub^
z{q1tUE{RYmtJN^8ep>V`)4~fynu?|0%-BpLvfmOD3YL)Q&5lbmiTm+m%)^0uP1Nok
zE)ESVxl#TPJ?`L_H0QC_(xlr9t{RerDQ(MczjH%S=lPT0zP?Zge6kB>N;pJ4KYih+
zWyTd!4=592J(o-G7Z+-^N7%is?58{OB~(G57r!Aev`UkYI}T?I3ugwW^ooq>LPlih
zJx53K;TP>7{fQ<)S*yOX`A9+F#1uha*<rphz)v3)x|E5+QpK&H?8r;;wk;}op>1D7
z>2S0CTdpf&+e6(t60YN~MVPK?8Jb1l@6V|#y~Z4$O#XMlBW|ITth-DI<Y=z{j7Zt8
zJBv+wh%@Y|DzrBfoyLWm%OcI?cgcpNgy*duRt=5N;pxKB&Qsny$RlLB8&8=-bcs${
zIg2Y0G(Vu$jVTp#ag(r+Mf{P9(Sw46<jAnzIQa*J>r^-M{3j(W+t9sn-2Ki@8Ucr$
zQNK@?w-z=Z+!R4Bawaldd@DD?#xBnGcX}DGTfg@Txe==4{1PvA0cV)4QFQgb<v)_X
z=AkvnM{Fb4Mf{m5%EG5I(V+wgX7w}h>5_N^!z@Sw1O;f-HJOW^e!UheOYkL52&dE-
z_lRGUK!Z82c=dJ253+wR7kN@aKRvZghm^4!ZCJEA_?VUGk%@{}zr|9))3QN2O7;zB
z*WmKMwv~bJyfxE(8zDAq-dZ>rHf|IhFJQ2<5@9S;!o^V%5@1uv!d!dq@2%4wEITp0
zwNt^GvmjSDVR>7=_t|>OOoJ+C65khL#cqx%4i<Vee<N%4b=Ynv#@JUbW5&s8lto?6
z5-=D4G+%2=UE`K@HY&s-2&rcYPb^<ETzfy0q+<SeZZ2HUVpwrgDh>UeAom_Uy?{e<
z7t7=-Z@BqVjwZa|Zrk5`vh}G@#p<Z&5S|GrpaMTk6nbW7Z(hB&bpD)jCU3JYF@Xks
zmd83=-eQi1&ErjgdH0q8hpexCR?n^y4ZbXsQ=xgF>2;x*G>ffh!LaJZ^9KUtXDi?$
z_Nd>meGuj@q;8opuzBGpc9UlPb)M9F&x>p4$Q?wJDav?Nrbn((jg$VJj&ok(8mX$`
zMj5yzfucQ*RyUKwh3HH16rL$<>sSSJ55tA{e=n4NvGvcDe5-Ozb1a)n2L+Daw)Q+3
z10Quo+4XTv<8C-Nq)oi@<g)i|_zrWHOG{DTu52es`1Uy#eMjq1wE<qfTaj_gUEDkD
zUEy7?>bz|;Iyx~2GGs7Lnfp^U+tOZEpWkX;R{?8hr)@q{upEq7M^8`|ZmzI|G5))9
zs+%XS{b$&TSTpAKhOMHU3g;zwSUW8~sueuV`nmfVMG}SCf&H@4c0V)eOG%nVwGyj4
zZu{kXa^>3}I<4Lx+U5!HP;Gm0px~~ur9M>Z^#!BV3qY$sF(a1b4M@?pBp}i~ij!1*
z9j!x*=WIkg#uUvK4I_Qojv1-_PT{&e_Nu42`ZRs6)5`0R3vUPfa@o-zo=}xIoj17e
z-I<XVi5Wqa(O|{LaW6W)bRoRvl!wQqxT+yDb-AbPBAf()QCQ4|q>0pL8SgVaxeo1&
zARcLlQST)^u1G8+A(Z_XVE(ISDy4X}J~OR9;CA}gZq~$7X@&b>3Kv+mK+>N<YislV
z;12%*C1Iqhr4Z3zwt!2eG*(axqG?Z<7M#=bxKXtK-Cu_$5R8U+P?y|#1xqAiX*=?_
z?)SY&CHZMafA_r(5?sWnn0n-8j@nc!zsuKabh0vLBcRKto%g)+b8NcasDQcy=U|c1
ze=l+-Dc1#+t(MFEkuS(03@>&RKfecN<?!!A`equdgmsa}fvncxHG(nM_Du=kh>_$W
zpdmF=WiHZ$sagw8*aI#4oiOzTg?BGG2)Uo*JvU0MCN5CUD+ynsCuaTf;A2addJ@b@
z{zZ)68<Lr>|DZ?haby0hc(&Q?;mraf?@so~J2aW0@1-rN1IUz0rPvi`%xblaj>e?^
zj@;(5Z@r9@bB8nq?z7(slmT6jlh_Fh(n~uB2rWZ6hQ%92wfp`~cLn8}D~<6tcmqgP
z$(b*{-N*O_MX&e7x`dO+)PPvHIa6-a;591!&U8mubqQED6&_~Vw_^mmww9{#oVdCE
zp;*t~I=5Rir=!&wN?^!;mtEZN_oiUboG!(s*@kD)1;<cDycd0Pi$3dg!@h+`)lw9f
zr-5wvbh}&*Jh2@G!+=?U2B8;L^AGV;UNf*qF_evJ9D!T_>teA*cZY(z;+FbHjIT&8
z?RvaJ$*RvVXN|>Gyr&zy_Zg+3X8n?w&LT{QdnlYfZ9Aj8|C+8E##`k++ZeC-PLeew
z)aX`;8{8*<RKhpVu^YG;qF7veH{bKZT?Q%FZ{IrXeV})&Cr-zdsld<Yv4)%b^ux{X
z)4HZI-<J|Q(<-VcDE^!#d^lcWlArlJo65;<Z=srJ38ZN(q@cTz13x1Eu~IO7-nw|b
zdC|Mm?lBO;wJz^mN@SQKI$S`WENg0N%CzVABjmioZ7H&MG3H3N`O51Y&RV}C3CQze
zaROkYL<>M_oeqaUcz3?F$u2D=pY?;FbTLVt3sRxR{@GyTV(2)5F4y7OsER>M+k2N&
z>Az<k)VE+}295sl*Eg}VmoxqKz5n$ES($(mA*q!5*xqjWDTdQqxr{+$aJz#^KSAO#
zoRG9V-?r0AB)Af@ia8a@*H<Q6Jt+{*`p};=hkiiF4=_r2da(!On<ZF>&?%CUnfcLs
z3VKA&!|^xJVr%&1<nE)!AUGn4an=WDlLx?b;=GC2C_OVM{e9}Q)J;=pQb!35l(ilk
zjL?uO<nhC(;b0+b<lc`wLAP&lXccAo<87Rg67v$z@U%jh2I$|;A1zDH#uP(pU6%;|
z_J`Eg&O!SHy_D-EgJP3Bwa*x`10$P1g}Q>lWR3Tp{p0l!5;z^B8IH-pu&AKs$3cL%
zb6y+bk(87K2nZ=XGxQfHirSKjX;f6h86;@PC*XZDClpbPTQ8Uxj!J;w02;sw)YU4Q
znlC|iovrygG$w`;D1^l?{-+gtwg1c{grJkFfN>X?_5Bqw)CtF`d~9n|goB^VKU@Jm
zv0$e*BZIwPtjNsKz`(==&iTli@PPB4pdYnx&)uftPH0%z`m_xY1ehX%SyFdT4_*LJ
z;`-xqK#4))xO2Q?a`r9gT%Kz3t2e&pzEQAoY~TIlXx|YU!DHcY6wF~BDOVpE|AtHp
z{rvfJU_b6gZOnf7aJ+ikA8<V|oOkLy9OL()gv5^j{5rH56iz}Ri}T8r;=|ybS5O4H
z1dYQH##lclYqqBT{QABgAAIs#{zutaC>l=r(1X)smY`&yUk&9LB4qr7{|EF~lVF;>
zzZs-#p2gX6U6?@d8WKa)&6}-lZ8$(8w!Jt{<-9&3fGB{v`^}SO225=Sx`sx2LNFvD
zGzJt@_5=IiFj-B4Yy%zl7P8Tmfh;0u<-|~X>$x2nN@0+Gl3{)br+wj)GD{+F7buJ1
zh#1W2NYHD#p4ELMpK#~y|Ix*{hsBr$VEjW%Qc8-jCQWKQbVX4qbiXKKO3|9iHc>n_
zjAVAQu1yH7F18FYL&~I*(sr5XA`PY4eWuI0j9TfTl9JL?+V|wY^_Rzkna(-i`Of#g
z-|v@>H0~iVQ&J`@Ha4D2rI`JshJZ6tqQ5rRBPPZMXvc1zB(m8IFjerAiw0PfraQPj
zRsg1^eViE1=_JY_hA=!s%d-8Jb%m=^2*I34*U;OmNud%r2AvsV!7W`e>a;a_<Rjhm
zdCbmX>$%+(x)>{Xf^-PKgZ69&gORy322){)dI7qt<|96)Ip%m{dAp|FezkRUL&KZ5
zZ@c3MTJ)+kIu!#BLkwg-Mj+;aX%qGwRaXa6&3iGQ*}D~z@}%VCc)mNEO;lZV=o#N4
zBK-@a7nm1(4C%)cbRi<V<WJ09ND-3JxYhxw7Kz0hUdN8??He3~RSOGQjha4lW(o=h
z57avtizlZw7JS&VMWp2WxVoMuRx~SzinaYnFN~2(T|)6EMbAf;Gf_d&>BGarxP<6-
z(H}wD;%mN_3FAP6l{N4<0+zRpi!)YA82nV|ICnl)ha4;COE0zy)4qWLLhth3>xJHQ
zIyfux-MbFJf-?`{pvjK1V(CtNV4-BIcX!m=q_O7MkzN34=)$s^e7k_?2fTQ|VZ8%H
zkSM@Pr(un>K_3K|3M#F6jVm?Mt@k=2@-|~h&Y>Hvs;irh>&bD`Caq`e0*=Z)2%0Xh
zj-rDu&gYFB!eF)mB#Glc1X2!F6%xE-{0xyu1-zcCukS4Q#O@?aHVeF0ZQEB1H3rG<
z3hL9)!Wr1wmNa!zi|AUjmfUQ-<-LH<=jbp%TVr99T8YX4>#VAw;Sv!MAsG2^AU3(9
zqr(6iIdq&qP=sg4?*XyP&%Z((8H-x%->l55mB4F0jB*EoUAYSLrA62-NDvi+X=rNo
z+4AUH<h8LOU?;m268oghR+4Y9H~D>J<iyi>e-z;SaIop7*Icv?Rmzu7pU$YOtFzEk
zZ;|lq97aDm>8VeJVoaelYU}Pkhx9K5L-7eHdql)iAYqdzP#?vdt~vPMw|4NL{W?oP
z8vLCqaL&Z?<iJw~gR46X7lOE!)7>Id?t?xEBPefuCrq<Bz)o(hhvDo|!E=YRVB8U@
zh2r}1JC8e+9f~{uPKojgD-6+i9G_IU)KcTpm*&}MBq(atzSq^=tp)kGEKRoESFHd&
z6FGLTq8Ip?-o&o=_bqQHCX-q2kbdjr*n{Ktg9;cQ+5yNEbBD|@mv_p);bTu+xUf;s
zndQb}<7rh?02n4IHML46n?-$+Z)IJ_V#nRZ+yYw)y5K4d5cTH$``x@(P^oEwH;bRm
zsH~}}QM$B3EJ&<g04kg4*|_Z*85tEH?xQ1xw86~1fg=k(g{oz_WufJn+LZd~@gU|U
z?$EGY&UX5f#l(zdARtD}d^8z*XKKlyoD+*%zWntH=)};zxbE6@oAUz0nio<vwYs_*
zq~#(D3oRh&kLxZmAW)zkrs2HMa)0;i*zpm?T4`<L+r05gCG9uf7X>oHN&x$0V#I+3
z*=2*+KY>fupgP*xW%FL18WVVp?;Z{mj`+r?H*hGqdU~p%F8T!;5z@>c)t*WrD5f(Q
zwaQa=2+1LzGPJdw9}*JMWZvN`biH0&tcS|#B!7{)xhAqqcTdks@RsBTO{_^^De;Gz
zW#XX>;9IzcZTnQHnG0=CqEZ&&q9DmSz<-j8BWt|8CT2Md3o6iQoTJ&#C-neU?Ia4y
zff_W`TH4y1J0;Tutd1*aS!=O<Y3b^o!t`#_hqz#MRJ#hSmXSX?{HljAwiZ+F>+jF5
z-#)C(j*7BWQ&YPL;F7R<Uq7{>MY?RyJ(T>}6z{@d$I7<%^zzdGI{aeAAZw(j0$-bO
zo$>MOVQ(nR71(knU{$d8tT1NL&7m;pr@GKK5bXxBZsAG}wa{B^VzNOhm5R#Bf?Ut(
z85m#kD2eVh!(KruSM0wjP}M;Cmyn=K^+RfN$Fme8mxQR@3wQh)nar0oo|w&0>+~Af
z4vD`5m4G%jJYpT>kA^#XbQpy@Iyo5`8{cZMc5x;NHC_uyM7tT_?2O%=@!VlVTquw}
z@7=g0YZM2N6QpN_{7al0SaL86M;PKvAh!c72z<|pJy>z!!0EWSr-+9mM@xxIPkZ4)
zQ>e{+3dPiSm5F7%sDBXZ&53`7x$@)!)wC*_vJPj1&AAeK=(X85T8{QS7(c@_2`t>x
zx*UfKU7?IPWM;X!xe@UhcK-m@&Mrw%GfaCp0c&o#;t#QoIl8UvzO{YQNb5N|IsxH|
zy8-!*5dQ@3<PL?K5Ql<aQDmAi94kqP^82qhUlr$gC!YCY*n4!?I;p)q6bEp=j;^kp
zt2oh+Yq|fQGv&IO$@$~{;Ty-A_gFuLKyMjtaXCfrvS{RarL|EwCsR{cTpR$(bP3)I
z_<f<>p_L!FiDP-4?E@is<JxeO0#oSk@3%nB@a(Gn0uX^mY7LGo>8@bTZNO7q#Bq$<
zMS&nETK$Gw<u@-*+jmT@RbwJ!a{hT0`5>fMuin_>;VXgc0WGD`xvwqxv^0JIn6<?8
z^gGcy5$}>Vr=%4X;1Et82*RLLkl9U>2^&}T_)&WY8rIie;|Dd{O(8k<|9@F|k84iK
WP@GV`>mq_|mhy1%alY#qeEdH?Xk|G7

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_k_d_b-members.html b/docs/manual/classbayesnet_1_1_k_d_b-members.html
new file mode 100644
index 0000000..dacbb68
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b-members.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_k_d_b.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::KDB Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;KDB&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>KDB</b>(int k, float theta=0.03) (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~KDB</b>()=default (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b.html b/docs/manual/classbayesnet_1_1_k_d_b.html
new file mode 100644
index 0000000..2c77b6d
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b.html
@@ -0,0 +1,372 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::KDB Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_k_d_b.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_k_d_b-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::KDB Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::KDB:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_k_d_b__inherit__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_k_d_b_inherit__map" id="abayesnet_1_1_k_d_b_inherit__map">
+<area shape="rect" title=" " alt="" coords="34,153,144,178"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="27,226,151,252"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::KDB:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_k_d_b__coll__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_k_d_b_coll__map" id="abayesnet_1_1_k_d_b_coll__map">
+<area shape="rect" title=" " alt="" coords="121,168,231,193"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:affc7cceae4f7a6f2a4fe0fed00c2e254" id="r_affc7cceae4f7a6f2a4fe0fed00c2e254"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#affc7cceae4f7a6f2a4fe0fed00c2e254">KDB</a> (int k, float theta=0.03)</td></tr>
+<tr class="separator:affc7cceae4f7a6f2a4fe0fed00c2e254"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af68389e8ae04fb9b26dea3b8f534f383" id="r_af68389e8ae04fb9b26dea3b8f534f383"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af68389e8ae04fb9b26dea3b8f534f383">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
+<tr class="separator:af68389e8ae04fb9b26dea3b8f534f383"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3c078819d5ef1ab67cf1da1f0be2bf79" id="r_a3c078819d5ef1ab67cf1da1f0be2bf79"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3c078819d5ef1ab67cf1da1f0be2bf79">graph</a> (const std::string &amp;name=&quot;KDB&quot;) const override</td></tr>
+<tr class="separator:a3c078819d5ef1ab67cf1da1f0be2bf79"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:adb293a6da8f05f2c4d8eb746f2b6153a" id="r_adb293a6da8f05f2c4d8eb746f2b6153a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#adb293a6da8f05f2c4d8eb746f2b6153a">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:adb293a6da8f05f2c4d8eb746f2b6153a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_k_d_b_8h_source.html#l00013">13</a> of file <a class="el" href="_k_d_b_8h_source.html">KDB.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="affc7cceae4f7a6f2a4fe0fed00c2e254" name="affc7cceae4f7a6f2a4fe0fed00c2e254"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#affc7cceae4f7a6f2a4fe0fed00c2e254">&#9670;&#160;</a></span>KDB()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::KDB::KDB </td>
+          <td>(</td>
+          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>k</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">float</td>          <td class="paramname"><span class="paramname"><em>theta</em></span><span class="paramdefsep"> = </span><span class="paramdefval">0.03</span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00010">10</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="adb293a6da8f05f2c4d8eb746f2b6153a" name="adb293a6da8f05f2c4d8eb746f2b6153a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#adb293a6da8f05f2c4d8eb746f2b6153a">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::KDB::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00028">28</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
+
+</div>
+</div>
+<a id="a3c078819d5ef1ab67cf1da1f0be2bf79" name="a3c078819d5ef1ab67cf1da1f0be2bf79"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3c078819d5ef1ab67cf1da1f0be2bf79">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::KDB::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;KDB&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00103">103</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
+
+</div>
+</div>
+<a id="af68389e8ae04fb9b26dea3b8f534f383" name="af68389e8ae04fb9b26dea3b8f534f383"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af68389e8ae04fb9b26dea3b8f534f383">&#9670;&#160;</a></span>setHyperparameters()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::KDB::setHyperparameters </td>
+          <td>(</td>
+          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters_</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00015">15</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_8h_source.html">KDB.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_k_d_b.html">KDB</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map
new file mode 100644
index 0000000..d3088ec
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::KDB" name="bayesnet::KDB">
+<area shape="rect" id="Node000001" title=" " alt="" coords="121,168,231,193"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5
new file mode 100644
index 0000000..69194a0
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5
@@ -0,0 +1 @@
+da61a083859449e9d8d630b70d27b858
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.png b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..d6d858cd52a8359f5e7c93d456cf488d9916b752
GIT binary patch
literal 11240
zcmch7WmHyS)a9i+1O(|6q(QnH1Zj~H5JU+{>F$zLnir6gknU~-l*X6tk}gHM=6S#G
zo3$p^%#Zmox|WLT-uu*f&e>=0{ZUh02@jhB8-gG_<!AER5QL-#{@ss>4*tw6MH&Hr
zp}%>qBoEyqerLB8CO{A!q%1F^<B@T&=xwCqdM9-}ZD}e^N9eFp$D_lMsKaCEAZ@{B
zr&CaBF|UVKJ*CU(Z(xv^^eVZ|K(}P`9p9{~kpO$BO8BQC`Q!N7`fsd3x!Fd)1^Kp4
zuX|F_K7ZCSYi!Mm3y%xm8p;^;^dHIa{4labg&#mDi%B2yUw`n^?*1Z256%($Nq_c4
zG2%*7<p3K8XYhSQz5D*mgIU6Z$W7%!cqT3$-fhm6c>nWdd8Y{N-I_l3=a}=KZioX;
z@y6@-uX9D?DIwJ&$qHR7T`W92yKS$KN&{_e?cj>_saFo6DJgov6-xYe<mBW(hKI`p
zUR#D6h7jh?#*dN6Vp2Y{!ln<wW8x1b>_#Vo$zqzJV5!lERCWo3Z;t0F@wy)_>}fr(
z$+4!e82w_rzFbn#KKG=d2kLBc-a78a;Wpi$slvp<>WU`kb6oq5HMkcV8k#EMEjTbR
zK=Jn0)6*020~;F~IE*-2C0kpLwe|HX?{j+&lh#I=sriZ8K3`gBb0{r1|9Q$3?0%;(
zYprG!)@N5PA|ir!Hf!W;wYjljIt&w-&LeI4dww3?Wm+`tEuhxZa?~E>yfv~KMrj`q
z6@`OOBOXy%Svh#9I{iXX5gi?$Dq>^ft-QRv=|ba&i_5L7)uW@hU<?9eNJT~E_^{>3
zQ1-y9q^L;R(2#;(4F!@{QeqSkc<6iePsYTA2A@`Pfo{+4z2SO00d&-MPGd2Y8c6GZ
zQ`L7<(Q!wy?00P!Tng9S8qMm*p!FG}vwJ-aKgrEyAR#3+IjaNH3j8{3M@mAX-<~mP
z4GYW2$Pi88OCNsn<VlfxI(SRz-Mf6XIt2v<v#uaCkK5Df2eh<tAJ+TKCW~LzE$Qhk
zS4@NtPF|*T+@PUg;LB@k6VdqJd>DcW;GhR11qKFs?0zdOo$?lNH9D-bUu-tp8p(A0
z@Bs;W`|h3D?!>pogZla7eyO`Z)l$N{S5!#Zt*unQfB)9Cao9DSZ};CTYj|_@Z-*yM
zRnO<>)X?%_yzqxL`Akb~@C=??CuCGO#-FAd5gQxU&>%EdXA=%)mh<&1D)cEeHKN`3
zx_fk#U}<S7nfojRi<pp@_(fg}mvQsT^8K9<L?<CZeS38(H(hQ#o+F3xy|2&EtyRy&
z6HUVVEF>$7w%K(rEHRM;BGX6_7Z*RiyFSW$QK-H>mV**TKpP9Tu*44k5f5ZJlF{XR
zz8LO*cajAKC`6H(ZT$G0e8rX7PL($vk?znw`_x!(x$LydFcXCJGj;X8o6D0N_~gy@
zRJn1Ki1VgVeR)Y)Uiq}&^?{Iwmsc*BK0Q6Xu+s+Sn>TNc&pYm^vwZ$yDaKH^_O@q;
zx?<bS)pqSpmW-FZYEYz{Yg{tiYro$usaV^et<epCv)eMlYu>k#pJIXxB_=0#FD_D_
zY!27d!t;~}eC}`0p@53^D{QbQnE3c%g@r5@!!Wd(StA>N6*aXot>+-@Z*FftXJ#5_
z#Z3x|x$Q^rKf*1o0Q-P!>f*wG^7n6Qe7r0zEp1<4Upx~A9>sUpy(uj?zlEhGd~q?;
z+S=Nv!%t$q!C`b@Kqda|n>P#+;^O+cx_xVFZ`^i%g>tuFFmM|+b`rCwS6YsKF{-yE
zkE0Ulb~~7>%FYf*N=h<nbfgc*C6|pC2OEII^Ym%_<HwIx)ztFA0ZUzO5SQ4+zXdUr
z_UV)9j-IS6^0L=n*`PXQj3V;N#?J&1hb3{zlOev=qxS3VgM(pkjSQ2&l^ji7nU;;<
zQ3`4n!VT&TjH|1wF#|3yFZGO-eCwS*eBf37H98uXF66+hT&`ag<i7Bs|KYXv%k{Aw
zIWSNsc--s20X;Yn?@|*lxT}-Ta%7?;d8+X!;cH$VBOW@+`uh6L=4Rh|e_R4np=w(9
z_VzZr-&soe$*|D!#_?*8ay+<)oW{n+<Wy9u@i!oKZ13zS=Z*g;E#+u#Y&?$QZl_ZQ
zTUZ0O#OHj`-R3}JXJ^O7)%CHm<n?~dKD>~irn-9fv`JUQWt$KWUCt*sbhFC5pX20<
z=O#HwD5(}TY2gI41qIgP&YQSkM&RUrG&Tw+Cnb&d^z>A(f>086-PMWT0GDJIMEmB}
zR?XM1Az*JagdAv;;%J6n``;$1tE(H;T0PLn6je}z>zkOU|MeGBpA3H%Pau8_W%=KE
zme`qG(VHm0w37TcCg*e5v~{sxGy3<l5=~A@3K_Tw%JI6__GJW9yU|fmc_k(6F^YMU
zSH<C*lT%t*2R`{@wNoj@6bT6ldv(Jl{JmqgYS)sN9b-&CBO);G{>1q+8SwGj8Eoaq
zg>Ucg4^>w`1ySZSk|E;a=4PR#^?;1qWa!6_XYm`a9NH9UX|pKmhSG)Na&mI&&I+TW
zahsc)|AMV8XlW4xD|mTy_wpM%f5qUAC*p?JSZWNqNJ~Rb&dxdTonw$@d;0q^y1Kgb
zTRnKGsHh+aaj!1^tXG-!pr@)b+s@Tu5lG$eKr1s<=1*8zW$y28#~U18|2vo`vzaOl
z)W&Y}I_>VK^^ZQ?o6dXHV2_E3**R7A%4Xultr-p%7gtefY3<zRWaP(>T{abMVbibu
zsX<!i1;y^T3xk$UOl<!Be`W<gKffoOoV{Q$&64E%yYmkHN>iD#sv3|KB<C+xc58;O
z&yO5lq^qgfES{J6fVVF|QQ(lnd1-4<*wG=?+Sc}GJx+>&l@;rJ*<T7B_fY`2uC~kV
z)T^tj5Z6-v11c&ba|3W^GbDZIo*Mi5vw`92?dG!+o6E^EcYOvvbB=tGz{wlOY%?K%
zW;*<(>|6gRel09y6ci-=_U#*383bKiT^S~OU#x~dASeF_DhVN2VloRmD4RLH*JnS5
zhH7m$K=`h8hvEqPUh#+FQHFgaW?>K#A{$KR>@km%2m@(Jf38e&N$(-U)Lg4cvD=J!
zf9&c|8lUUgq9JYR<j(KkXzuRrwu{XVd%_7Sst$Xj$nsiSTc^~m5BMr|m1JbP9yU1p
z)+@<5ID6Y1T>G6LF8*ogxWxn4@jJEqLg3lK{Od_k5bmEr@|O$8Up<?5=r?v>3_X}{
zFb6q9zv>Mdlnn-*X>zuV`CVLp{##f?1W}PLHWD;=Y^FFCKqB9ssah8}zic+fET$lo
zbX<W1?H3}zQr5nIB(|C^r@pzlfuM9jyKcn&qqTVU40Ep5IvC_})4v-(lL>CX*(mz?
zNv^G}NfV`|rC|~f^n*(BDLFX|1bK#(KTW2ntE`8IN2cDplA0-IX#3P_Fk1xLUuvVw
z^1HImghQXw)1&tHZQoj2n(s}OrSg~|i@G01gG*s}&{8L<UjiQ<#&c-DWR|=+ma|=G
ze4v>303=TRHZK9)a-)y4HI~!6=aW+(>gH#Y?UsmYr+hn_$@wg@z0VJ4T0Ku*R`7|7
zQ$0`NQqa^S1m&K`Y2#U`eid??_jx^4^n&xK#09uS$Gv2)p+*n1JAk6P!OFQ`rGQi?
zE+GL<5qH4_u9hlbGxe}x@?{f@cR1a?`6Gz6e`jX}>V@kd4I3C3AhO%1PlRr}6CWid
zB{TS~iD-TQX@L^Z`}B#J`=Jr?3U|kicHSaLQq4_GRUiXR?44#jeTU7?#%A?2P1t2y
zQ&dER_sNrp_V#w8b{~<S_c41qF(;okzA7hN{DW(}vP)nBg;5#gPsf9~IwtPeqy?uz
z&SbY@4ZRp^-TUb(bEQ~nvE+`stCHUmuBW$P6|QHiDz5KgeW1#Rg7|fDa>}i#;cIJc
zZ3LHo@b6?le?@)lmF*ULjJ4t3U_M#NZppV8>-u`%tWuEzgWsKjC@wB8wb9md%_H&g
zM51D1Cw0>%jLOL=De&IjQ0}&W+A*gbhP42X#Qr-y%?}U9DAdTZZ+fQV>t9R(FO7%6
zR4_0w{7xtJ^lpqw_-8`1cR_98YU#NJp(@Z$H9I>y!5_oa^!6uFSZJtmeOqx!0E@<#
zQr_2a{<|%y`&9sGI1VQCjP2rULxxUu5a<iT#x?$}fdM%Im2hXCQrwgcrI8x-bakfP
zP826h+e(+^+Hbv#Pf9Aw`)uFL#ANC8NtJpG5v=~l=;&6tam!4LyMz5~b$-`0i(yy+
z1+4y)Z-=MVSjm<iBOf0z;%X6VhzEKfwN0D6!yMm!yX>%3J~(+&@_>*~bFbW&-VkN>
zJYC3>KZ8(qMq2g-CcQ0P4r>UZV3D&bA0uNP?;c_9&mRK=&HKwOq-D=f(~n9@9>PR3
z51D@ARl{dA>ZhvY^pf07SZD4C`*fv22VvW}DKv5V&boXcPRwIlta7N!m~XBnc{A*7
z8HR+>wZneYp1mQmB}!^J38|<{XGbyy>+Edka5CB<p03V`^yKQeZ*bUb%a>$X*%~ab
ze>lysQ(>%Z2@-YIwYqMG(#SX+yb~pV`KZ6+*|lOhIvhVWAx+VPFR5+8cHZ(yMF}Am
z#1E4?Eg=q6q-|4lEzFf+C%pRz96ipx8!aQgpxwN{>%*6k+(ekDR>-dSnm4S>zGD#D
zV>yZGkKol)G86{@)ky>DU!IVd1_f!MNd8jwxXn5*YQEQuwtBc3+&mKe>u4OwpK<23
zOd66f6o6dB8k_!wwDuBv7}4Vhn!$-K<6}JnQ%ovf@C1z&RYrHdDp4v4Yvo~pWuM-W
ztB0yTB>o29WM`v|$<`LIr=NhRB$6bHj(ncXf7xLvjUTh^rnwEX6X2`HT+r-)6|EwJ
zq+e*QU-`cDDxY_cIL1M(6RE+ejhCX+`RndiF28Ua|G01b`4^h1UZ(I1xed;Ug@vUM
zPTG8Iq*jd3=JGFl%EIv%3ECGTY=L_PKD{F`26<LgsFQy?+eTjs!>W;5@z@+(|6F^|
zc79#^Q{S#6#P5|;765j`a;oxC$R)M|Tuvsi=$~@$tRkx_KO35Y!YNJ{Wnw|iUE9lm
z*xlbhE`G2d2(7V!#eXR2dC3((P)22kjBNo?Mn>|w-uaMsy#My*7m5&D(KEL9*sgbL
zC|DMj4V*W6d8E^k;3X6bKGHx}Kjk6pnTZ}Of?g#yk!q_|#2Z1o8ch2ATry~_qEf6w
z6Ek&nq(rdcPN^d;5mZU!_cV5Y*T%zUyF!FE!&xumYl-ZJ@Ua4}Mtf}n1QHTD4Mrmc
zY3B>8r(|Sn(z3fLJ6^MP2&<(&JQfLXP{qGsW(#bXuM!`B24c^Z)1BWgFqf=oGhpRj
zebO5JxZwxxy-Ew|Y`3zNATc<<1d8J-Z5|{Z6fj3}Vj}_ZXLM-Nxu}+d^~@^)>A6=#
z(o$@(J}%4I9WVN&5_ZoM@RN=<v}(JTT<cxHoFnqcD{Ml7x;H83O@H0+yfY*!XN!zF
zri;jg+P}bln0imMmUjpsVJr+#54}b{p5Ceb42K8#AqVVO%iIU8F@9CgTkHO&Z1&rY
ztFAX;%vLcuyd)1hb*=}CxFpW3PpNny_f0g$ac1nZ=%oR%ef@&Q5stub9wq99G0{t6
z7n-Njv}y#=!RqPTZzj0w^kT|B-Y9C~JT;TZ6c?|gkuLhhW1-MEXLkhqUUzMJ{AI)|
zVZCs|I!;3aN7VMn%TNq!m~``e<p#I&iCT|DNzbJFS-EmVvb<~!S}{#V<i&bq72D4x
z0jzQDXIAx^afkUPV&S9D7C5_Dzn?Oa1sN9omKo63kHA8$*IXU6#=@;}SCg$pC4zD4
z`+R*$Mz%T%N$Pc`jDKu}FA02X_MN#mZJEpo6Fe)I(`U(<?FJ#?to49K>pL^i>t~LF
zYV3EFC2e_27iHfn4~V>{8A`#9psg_`HB~;k#|VvKYLA%f`wV7yGa7zNP;VaU%n%TZ
zAG<kyU>sMeE?bin5vQ}6E2|pVt@y+?ExEI0-#DT1QL0zl9~)$oSbW2o+KH}y@PC!+
z<zE_}5>LUqdQeJ|x;>!tvPWg@RqkqKlf{8MnW~Y?$W|q)v1Ys&4%fqA;_P4=q0FU)
za<2$V8ID;pyD#DtOSlh=U)Y>@o7!WnjHd>sB_{GKv%Y*lL{wc>e(nQ03_EIS>ep^=
zZhrPZKGDC6(b98fDBLR3MC=Qx8AXIEMHM~U=kvLif~mezVYGmfykJicMp`p`#xkjN
zkZ>2X6Jam4v{o1N6$Ds_U}ZYs#q)~?aL5N6YebPOQ*xU#)4BHmuI<opwUvU09=r~!
zhEZ`rgZ<)eMr!J|+s^f~Vt}xgb#B`x4;EXdCkI5ul~qV55;DFtxP6UO{~nH7@HrJ^
zpSd?j@rEtn(Q8p*;kQr(8V^|j<<Ij(Z3{>P*-=~NmXV2RqXMb~2+i9?bn(5>&8w{g
zhy%3a`!7C!{=7*o=C)7>-$_Q^hUoC5xdM6s@^=Q!1co)N9=&rIVoTIMihIPn)(akV
zadmY3!7$6k!BLw1r$HLdEM;scmf!e>{|?zSUppdBeZ}{TOBsSPkp8iFMrrTz=1=fJ
zS9_;kw2-;7q#4g6QTyfgwsiHvC>9Y;e*W5;ygYLa=-kWGb9koCCM8O}@H%m$MKP}`
zL3@`LIz)qlyBvcHtY0HvoZ|^CjE#?v{}GG_b4xJapIWz&m3;xJeE4lO6wr;0yq8Dh
z+0pi#C_sBRAMilpnd;|g(5D+mz${qG$;ovfnNIAu_)<|*vmgr-laii2hHxnb_elaY
zki<1jO#D~^g1}p$d5SS?xL8;QC@XZ(woCIhB>dTDYoW<`7Xa`rzt{E|)Xj6H&#WS&
z64wS={-6fNN&7H&S^ImnNn${W%@>{4YH+`@v!}|U&@uhx`r{}Xj4=gP0qoB6l-9HL
zBb;U274-ZGjggU&@XX9i0u+ysx5oabIyWQZOK1_y@~q_y_Y_H(LHbg5l=rpZXx|=H
z!%F-Y>O0bdgFS<h3;Mre(A2tK1_dG8`1iE$ddYv$et+?}0uTE14ZahpyyW!L1_kL+
zqPC^-7XmD-CM{M4=mIb-ZK}*K%A!<rnMHn)2pEgM%=#9QuR<^BMaeST@^y1NF92nc
znrcWH5*O%Q2s4ZW8;-P{m6+(l4eig>l}H45Cu;8{Y6IjtY04AL@(mYV?n!`52ltgg
zfSa<ia)NSkVqzkt8Z%rso|v+D3P6Mx69puC(On#DKGLBYxkMMA+Md5x*Tq|c2gfp_
zK*SG^GQN<yH0Mk`Bqgm++2Df&nIAu<{#IIg6Z1Bxz}iMJ`cYN*hIsyj<+AU&alQ8Y
z$3HcY=s*|?<?AGBzu$3R_I2-m`;?mg5>Q8(OZG*EudthbKbwfr(fa6t(Mhax(eX0x
zWd;~@7cpqhTQ?r4h+j1IDC4u2x4L=hv?-4VTfSGiYJs`?qU&_iZpC937I%i(OVBn+
zDJd$#N;;Ck9R$Rq3r;`=h>Oy`qPnJpF_J0c*0_@+)VtycR`$N)x-+hC-wa6`&lMHw
zP^7UQ9>KnlCR&1Aeacd})h!C{MYI<YwuAO+*7*EIC74a*X0WKHFIw*#ELD0`h)y)n
zKT0K=l`YV}-knozTq*e1p~w9ht=LQpKD|6KQBo(G78bwS^A*Okas^C!SZI-aJ4KT8
z3mu00(WN>}dife2&cF)!$7AAll!Y@br1T+Hq+qX|bdc+;v3!R9^AW<fn3FuBA_bPe
zAH1i3J<>(bzw+gOVprd`M|j5AK=sk4`b{Z}U`2$8R^D#?^}ex&99U38g#nx#l5d~h
z)AKC$WPhB)T0T3#yNd^n%B<dQqmER%OW>Kk(=5))ox@*gc-r=1Xo#_m9g&#{E@S9E
zEXqH2<O&FdEXt|!mKxk8rUwVIb);$v=8;xBnwEs!Hsjn$W?Pueq=;Z^&9M3y4far>
zA|9JbtGe$?r$#030==)<im9_jH&+Zr1$VE_dO^vUNeL-vJj^A!yq9kM7BLHU|9szg
zbn@yJlaIWUyDw63mG9}zbHo&+$l)Z@iv#1koM_@|p}ksI8Sjp~%3;pEtjPE8&7G*&
z16f0?9O3nUzAYcEC%$q4Ot>WY?pqyX^17JO+5g<fg2#?$M@ktd`^Hg(vivx3qKlcM
z4v~MYZ8i^NBP{6OQx+;c){L6#BilEA?)n^~VEN4KKKNkYINXY6W4FnQpS{2Moyscj
zlUAb4PJQob6bL+nu|t9vtDdCB_Co;<wv=Kra{RqW;124h(&J+V@2P4I$0IuGPelQ=
zr-!{yZRvIu?Cr_i9wc>IL4!rd1I6RJzxzz?L69ITpVnzFtZ!@m>zw#n`M0lJhF^mS
z)@@&4XP&67k8e5-j%v2g@CflJmJf<)!&07A25LcNXh=b2Ns+ud%AW@mtimY-GeW4M
zc9cch15u0pKjD!fWp7nq%uEi9zkf*b1`?-E>J*~z3B}*+g4{fGMWyHhS<AzytObby
z2j-!|dWzvaJ+6tLX8%v5z_r~odVT3A!v)qvKdr!*=mb$ZQJ(=ST(E0Np!RL-8JF}#
zoc1mONPFvmx7;^Y3C5Hom;FG6O-)nj&N=*2K>;l?aziT%PffOl{Lk@mKu1SM+aRIZ
z1n9c|oQz7%w?va_^!=|2MPNw5|I!_O8nX?IrICmP(!^W~Zi}${A(e^8Dq1wP7%AX>
zQ+dtN)iZ?6JliTO2?4312>R*ZQYmh30>lpry}hpmMg4As-<X>t$oRz;ck@4My?E6o
z;~q@>ud*{Ts7eiL`j*}q@%j7vKf(?3>X2e&L_x6gPEJo57#Mi$7ldzaPDYQ<&-=TA
zF_0j@0(t<}ku%4w?WK+m9VaIqtN;nh&CB}?gGEaEUeSS(0lR4b=@gru3)IFn0&3Ck
zSI?A{a{wu;TwPiD2@MS`#rHLkBLvh+^wKAPZ*9SC1*c&Sg6W=sz6Xjzn(EN#XoY)v
zrkFdZhO%vY6ufUx85tPf*YUmiju}fO63>*Dl%xRF?H1X*(%*w8T|JKn#F$Zoedgr(
zM4g0kb!lnzyLaz&Q!1P`hsY^#!$`09a%5+|PmS#ZMm{e$ccws%k}dzD6NR9%u`!hi
z@V3%YQc`Z)V}XEhSxeB6RF0>T@)OU?%i}zF6r<>NxR6FEXiKMDke@%kyqpE-fPeq~
zZQyXXnqt9HUi+m9EqO447y#8??{J|hfyr~@$AjjU7U!Swk8J@B<SI%Xjz`(o-7Q;U
zx8yc&r=v1HJDXObSHY~@ez}?6dNLx$dHOO-67aQ1JQ5OZQwWZ10}zDDQ~1Np^`Ui=
z2HppNTC|<7=ZuPq5&^paP|+CR&>cE%1*c05dRh*f2Y)FV`;Lx`6abb&ugtI)FkH^_
z^>(LM3y=9ji~6R<P&>D`tu}xE=6(D)6woZuF)@#o@hSKt0B=;|BeS@;n3kN}2MEd<
zz|obKmNF?bGc*6{=?Mlq$-%{Ck-}wsu@=Ss7hneQ4{N9ZX#IRQnEdC*XGX*laj>!V
z4GeyU;*dE3WXZ%G#tbPcDpmv97?6U1?Ac_=@_AFIR(<vv9O-`%@eVVUfufls+TO-o
zcwm{mNmnlUce=L$e@{-<H;2=e<JomfR{&Wj1Bhai|4y*eDZyloVoI=v0rE50lmPra
zmAD7bumv9ht)!|Noa1#hAab5^am9jZ|2saeM185MiVNzgO1x2v8>g7dcIVBFPjX^n
zC72ozJJz?y^Dg%)I)459`7w%=bM4!U!Xj&m!NEbBkRN~6`#I~xk2_I(?k=~=>Xql*
zylBYCl=SrUC}I>#j!I}?Q;4&fEbP$3R<rS~DCQLrX)^JxV91#j-jLPAnFQhRZ+{m4
zl$ww*U}3>%+eH-drQ<(;WE>rNNV!dL0l@=F1AdUl@5aM+rV@!c0Smzv_7F(nLc(tQ
zkASE**5U7u;E}<h^uh#evJ+)1OxlkB^wXLHJ!*TZj1n0cxf19q6sI1Zo(6YEYimJ3
zO)0UP8vt@vette+VQJsDodFe#42P5hGT_rFwZpOTE!Oa__$ujpwA|5AmM+7O>^Y!?
z<9fDl0HPg`j8Ny@?e&NC7$F9rdsS6cJyTOt0DL&qIXyjHy#S^c4XAbTi<Mv?&&gO>
zJqd`)nQr&>ersW2*ggYviCz!~j#vMz0T{&v>W#d;Jy$a4tFV3=Z(Q@f=&ITh`0de_
z^Ggo{8@Mi5SSVoO>+KgKS9`*zJ?ub!dcw_J@v!edcK0C(iBVODo|D8i7exw{b-gBY
z!cQlSl|U4X$`9*`su{u$SkyD5Tigy-wze>!nObXNaQ+rp)qqc|wT7cRZw_?<l9AKQ
z9V9JADJj|yA3o5192!y$2@f}4Y<7M2{JEUGJnBf6RGfOID80Bi;00p@rshzgHj~%u
zm!DePkNOI;{JdtZg@lA!!DYQT?jfiGBZH07(bau(x;v@g<n$P!BHP^l$ApdT{OxvH
z2-hfPMGHLPYC^o?;u%0f12{cH-18|rJG(VM1vwE>HyCcbzdt;IS#2#ZPI3T9jXdn^
zQA{HL4}7O*3~zfeuT(sOIYscoK=)crqg#R?oX-d^03fU-mC4A+KrfcegiyVf{)7AE
z%ADelsc8L+ZER$;y|E#0X=w>s7K8G;1c843GP@{na1*nISO3mc%wbbkCewCWdJN_;
zSsnA|R=O!kNxcYV3wA&6&@p+T4fLp2_Oyo8Z?Ss1ySe5~CLbOruxL!BR#;QqpJd%T
zF1Py%E?*nyr89A^T0{Y{hDO*i0PwhFdYrC^aBNP#)3q!+st4kIF02Gk?bXKCmNSrI
z_7_`(8f<5OW$zJ9XN6d-f8td$`<#~cF^$i1?IX*V&bIR<n<J+Xt9XD<DuMPO{r-J1
zsIj@q35*E2|9>i`=CI*sAQ0o@<M)jf6J((J`|f<gX+=QSXsX;A!)rZ2?N4M%N9n_L
zzG2l;8n6=twt?ZB%L#?YJbb%0_;v1_xvrmi)y6q8Z&1RJwvq6N4~(O%jG6cqYQ9D&
zcig-G^+9=;s?1M;r8d4V-kjn^M1TZExXu24WW5zH&(4s;3ZwqgV+GMb5OuUp2SyQL
z3}8X|#h7S<g8r<b{)2UgVD0U^*{YUjrw7j_DRpF*po>G&uLU$7jM&Yu(TF8KHhcg+
zUTPKFND$zB>WMw}Ox(5*e47zG{}7n~WsECr3zN<#GVsgUH<emuB3SOM$IbKlVEjCi
z700v`*Jh`M<!yzJx=LVNN<|4~=@wg4Wb82{fBOya6(;Z%yk9C$i12kVWA2idV)Wy!
zLJ`a3Ik0g<<3SzRl`OHgkQdZd%XI}OH5|lnhw2*2(#0zLWaYCWn{ur-7|@fhFX#zU
z@hu}iTjI;~_H4}M?XrFQX~R&$T-Hbxy28hr>ir6N@&Ehz{09~M>Hp^5_@9pR|MTOC
zZ8(H@EX>S(uUTDxEV=Thx(OjYZVITHSW4ngOiAH>ExEj;5CNk)Fb=Ttkns8!kY|o_
zTO`qTU@Q|1IPIt8F^b+P^jvwNehKofhlhtCb5^;NccTN+U+}q=pxV;{1QY&$T7Huk
z7Y9%yKWAh_Bb*sa`TWHf7aq8@l2iaB)enhz{$=vJSjE5v9s}U@=mOPK%fP_ea}f?F
z29n6}>1o{%<Hw7O3ktiIrluVCqor+lp+=9pJU=#Qo=JgYW2Vi!p>43y;$&;IA0f6J
zogd9qp#Zt7Mm0;^ljx}R1Rr=`#()3-Ndsi)<m8kMH@+FTx!SAn*vfRTv|kkcgzCu4
z-{7zu3*-)AF)_J{X-0N-90WoE<VJ-#L8!#f&jpR8fB!mtYTduhB;zs)0IF|d^#R#{
z%Jb)|YirszBJoeSxWdB2``@L&`SE~n!_n2XOfMbr=+C#+-|E?329iH|6cJA2RixM=
zBO~+Z>D!2RS3ro>2TlO5)7{YQY`Vc4v!1X?;cBC17uNRsJMU<~@)W-(Qi}>HDC)8m
zGzX@enHoz1Rc2y@`U&cN_v|b%TaY8vX-#cy<V^MOl@(LfR30QCMh1f!-ra0Tp)@{n
z8WlgmWmbcQ$ONO)1GxjhH${+6{&`8r%E>)=@Bk^Fr2XdabA)dKNVE!|jsp)#ut}R2
zJ<v5l>FvBdUykE^Ri9m2iVM!<V(;~Rq@dm0#O!7e8jhxsQ8W;B2|?2A`$R8yd^-J_
z5#VqQ$x9|^0#>g5FctU=Fc=saD;mpue0;_b1`SZq1Y}Q~=4$~Gnm+y(Q6LW(3dhxM
zv?uw;eUuJ#EG!u8dgb!KRsnuhdY)JS+YlWO4<WEJdF<q;5K>V^gYEj>+q;?*P7@Ry
zi~{UI(EvOAJ6fiF`0$|zSO~Arg<~|01O)>0UmrA#gBp*(BEYiI4|HmD78VvC@ZU3y
z9~d`BGI3Vc#t%O;DpfkJ%5H3Itbq0QgEGxy+8H1^571^WTtg~`^+iGF@-i(n1{^6A
zO3^9mDAE=d%m4*bLY+WR)jK)>{XjUN@g`DJ;^TvWkANIjKo6Dzd{+IywNkNrLZ}uO
zZ5?UY7fX!;YBJE88J;}B1P4g>5#U=?baaF%24Ij-ph1E#B_t$-YG$K>N{j;ig2Q>O
z#^?aR*<bFU1z?L&DHc_^v8l=Ic%^Hm!GZQ!Zgn*gP#oozm9Y-nukFQ8Cte7=Cl|7(
z%E-+80E&6n^fVc;aOuvsQh|OcnnIv>#2UH){ShzFAccj6O#!4hUD7pfajT1V*8N7Y
zuA|b`+l$8ZIX+(dNKgUJtOUzN*U%WHD2xZKSpQO+cTQqAz*?UZ6H)U?n%$4=v2fZ<
z;yOE}fuz2k{K~!ysCXcbP@o@!gL0swH1YhMM6tIsSH}+2Zk~4oB!dqS$ei%OgFvv?
zhD&<B880fPd)_`ZuseAl8XgYXCS=eX>4VCAb-EYc+1bg?<qn!6kP9YKg?uiKDa>IA
z!1kQGEd&_jdf@PrVjB{*U~pM-ii$8TYRK{N@gc6*lRAfG8X!^6RKLUd;(aLMa<oJZ
z9fO6xO2)y*@B90EkW(oY3<PmWa(oAxGw_o&|4wXdY<vVl=?MpiJV32H9>=C6WMl|=
zJt8VfuEXz^<3Lv`rd%|rW@>Y?xY@Pnb%!6qbq9PW9{^dM2e#3b%lv5?aR1PRgoPQ}
z%>##0XYZ?KCjN9O5eYH@D_9tyh*2OQj8-}<OXAXqKLQ^Im$u}$Ngn`~^xWK|L~lVx
z3^b`w^6?P|QO;@R28?34wY4OmgF#Y8i0sdkIb`0yX9HbyAc5osgvd4kkb>>9v>v6f
zu|p03cVl31kn>2&Z9nyQ-Jsg*_cs@R9Npdf2a?!<hr`e?5^$FQu^^fWec*{%SX_KS
zN~&vq35-l6BqZ6{*-$t>b$9i<!Ijn3K#&rQs~mE707TIO&I9V>LGF$f;Qf*T-Xi;s
zTQ>w~R$&DOM3hm<YYw2gJA%D1zc^mK0RApK(5C|9*Ba1(mB7tL_~)K`0}lH;W1M(U
zoz3(cc!AmzHa1z%U;q~w8c1d#A*e%{Vq_pN<*cn)4?FJtK>U{o7}^j+$S5dPUZ?MY
zg9Q}>V|}G77~$tYC!oQF>I%4jZ)}8E!wXhpgqAvi0fdl-27hHu?f9iog*WhVI4rj}
zZhi4y+1SuAzx+Lz^6JjN2T!OI*kl0WuDT@U9OwU8I1}_zqUjcxHR~=tVW91IbabrD
zFw_MQm&(Y<h~r!pcnP!Z=Ib?8x=eXY0Y<Fj+JvM*l!JQ<c1mkKF@*^@dQgBj?r^bX
zo`l1-4y)4%2cA!64U3A7j*k5M_iyOmjk5x!SpMF3lLBW`2;;*MJ4nCk>iBN^Gl5vd
z%tmfa#q297+A5P5rwXqoCYb{UmoT}%pN@(9<3=(61_nF*27Bu6?rxANOc7X8)9EW~
zxdAYY@B*j|YPNjdr~e(Sn8V7X!Fhq2xNjU*88~a}R_Ttn_7`v}fgp#^wV;}bUD^W+
i>i=kq#T-w)lfp!Mjz+-JI0dY`kg|fhe7US?(0>CSiRJbH

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map
new file mode 100644
index 0000000..bd698e3
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::KDB" name="bayesnet::KDB">
+<area shape="rect" id="Node000001" title=" " alt="" coords="34,153,144,178"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="27,226,151,252"/>
+<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5
new file mode 100644
index 0000000..138d696
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5
@@ -0,0 +1 @@
+f7a2fcb142d7e60993bfdd827f6f96d9
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.png b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..c151753ee436a1b688712d802b244b95ebb31163
GIT binary patch
literal 10088
zcmchdbySt@y6#`3R8YbXl&-0$l(e)c0uvF$06~y0>F!oSKwu)BiiAox(nzC(NOyNi
z=f3B+);edOvDZHT?LA}&W5yd#-1qOgt~cP3g3N{U)aMZdxqz0HdJMnw5d;V4ECKvA
zoN`JCzX)_5$Vefl*ni2D>EQ^%h@hn;pE|~`jJP~~rhg)_zANtN$>Md!dfQjW+vo8O
zUtDHPD*8byja;-Yi*RvcPFovh_JLBcrb=v&o-V&mObR-TCpK#>L@O4DEp3AaH-jy_
zB9t*``2FEZ{CD@$lUqBEco#1V(GH8}6shO$4jc|7%?Viubd1hfB6yOdfB%$5*dD&k
z%*<3m-OE%8V%&O-LXSyHNxdKbX5PF)6Gj|{TIlv-dqC>!H_d~{m}~SgHLn<SB$_Qa
z<9+B;NE97daQ;~n$#gc7$(udH`)q#ldFE#CoBoVMUl`$qyHO=$&WoEfZL)H5b=ex_
z2Pui=-t2At6;1^$!YV2%uiw16&}`PW)R!}rRWf?l+?+EuHujd&re1whlkReV9^yGT
zs8(^b+18(@OK2;sQO!{O<;(e@5{o92oJs-_5fSw=Yy89AH5n}}M(Ggx;3w${+Eb0e
z$L{Jjt9wD}%F4d?{4Q?Ga41udl6t~j(wnih@r=43nyFX2)9sEpFxU#ywI_-N`um?<
z9x3npXqPDBaFIl8i?r(Gz(nf)eeJG~_xC3J7)ask1%@4G5Nc}b^_?M$l%k>@X8ywB
zVrD_X%lYiM$mHZ?Xn43!z$Mm?aDn*v_>@BCIeG>L(uVr_dFlBD1q%}sl9<e_Ed7TM
zAEpmId-hBza)!QSDEr&DSTi#-y55qaqK&~K6OC0vK5A7Bjgct<F)^{2#Kh5*SYiTP
zob??mwL&AZbj74m?ZfPYQ4I#+uQt7zszGnxF4`W)3)#qGu3o*0*ZJYp?Q=>wHTqXa
zN63vEHw;P^7M)Nnv$F;Qf`V}))f&pml)SvWDIDZ_F#6dqD`R(dcHW}`h%R&Lxw(m<
zdBnsL+}+)6?d($H;%EfT2Bk3S`FiK3CMVz9!)0JEDK=IP^W*1F{X2IMJ7GFM5{CB6
znyyMt<nE`3V>UmcxoxejKbDjTR`1W!V5U<aM9t67H;cLKbPf!}PzU?+8n)}1nPm+K
zFgT9m$YG>l3h8fKdZNlq`Z&cmn_1-CN;n-Trtyg=EeG=TTdh^x1p5eW?A%X}ckyZ}
zDk?5^+_SRc?*8>l)}Gi}b7_7tudeRyMH+#i?d|P&eiKSFQ&a2-1;<>&{Vvi?ri6$O
znrX^CcwlU3*hC_66w1lTc{CZwCA{^Sm+}G+(%8_D_vOpmfq{XojSX!b9cHxk;_uJ$
zXtdH>2U}Y`SdSsJLU%7;zPz~YjM0;pCP;{n?;jriad6=5?BukO8ud~~SC=L5?c3Yt
z!?&+py}I!$^?|Luy}`qW7q*?n99D;0LPJS0f<DBaU0q$KMn+l+3KzvhMfbX77-G!A
zmmQ@Q6cy)aEGoJdtX)ENb#-GxLu=-eJQ5Yf_fhaU$DL(W{iN&z^K6pYMfryhQ>9as
z8Z+5S2+O$aw)EnM6qRAJj+P5LWHAh`>o|r#qPxsA2Th1CT+nxRKA=kqJ6y@WfA{Vg
zbqx(NYU;Q8ZIMi3Vs!cJQ&S-l(zdpIH`&;%ChG9}2L?VQCnH3Z?4DglQU(Us5JrA}
zionZUzLk|?3h}pbDqn^?j1%xeVUKg^l8<iFJ1-P94b8^M;aUnT_l=DWIhqywl|g($
zLP9)zd?pkM{>L{MTK-Yt^d}ci%Nd2^iITmGK@rmk5TiC~2^kR2fvUJApEBVWFJ5R{
zSdgF>*V7s}w~O8-2H7|`^UR9aFW11AwJa>gz7|{baY@2LZ7j8#dOuTBbLXkD^4*lK
z@%n&E>l+)AmX^2d*G4bU(9j^BaKVx6s@}hUKfMwxO)KF}%ch)(Ab(L(e*EwO=SiBp
zS9P_-(ebg>d?%AE=JmNt*T%<deQsM%pOt<`8vsZCl$sjzdunwx+cm3uA-QkqXYqiF
zNpEKD*PN=ibRzcHPdB%>H<qte1^)W=xZoeF^I(7f!{^WEPLJj!M1EVtfSQg~(V-sp
z?*5;<fio{Wi_<8Z8nQqhDJkLj)FN5RM96Ko1HQ%}DxZo9QPj0-%&e@0US3`ZqN%B=
zUroWL%qT2OjhzLB^e5&TW##4H8yfH%8XDx%*>2wK?C<wC>C4uh{SouL%2fzvGVJ~P
z*LF+26B|toDuX>nCx4CyPU>S#3aSe|a4BE_VE45BW5`EFMkeOx{R<2Ep#H|ty6mow
z7#SNctOpyf3f)qXfeKYJH5|T?yA@rs6vdn0WmLa9QjUWdw#V1z={DuM?pyywK~Xy}
zKn1H0@tkT3Ny*K9bWX+5@%Hk{N}hfjWqo7gO`LcU2hJ~FzlO!f6JxG(a!Tvzp&mbe
z92yrFn2~XPxYP>Q+}zwhDCns<Zj5gBL!|RnQO4J=Pl_e%7XK38pALs5lboMVo|>9^
zorB}Pni_Q^r^b0jMa9>?zOgIiW#Z9ayK8H4%I#O`T-GZ6U`f_$-MW+0H&x?>+h6VB
zk-lqws3xP?R3@lvuH;tMPa|T_&ceciEyKam-~0QY!;YpVCh+z1>;CyOSX^8@C?H@0
z3h=_rOalf(j?r^<6~$R^V({QI78DYSxp?s+t(Y@kks60emRdt^uQGM8w6Cx4uioBB
zNlD4A?d_Q=w?lc(yJ~7`@9lMTbV}`(lncx-(`gUmGP)NW_tv#Bdaw~$AI5$vv{|w~
zY#7Ztl@7X6yZ>kI&tyYjtANIKWkyCuo4Bn?I(yr2u^9~%S7;1Sw`3d~9A?Z(jGgoP
z`h=Z%+D9~&W0oGMl$<Ts%`2xYxq0J;wv&^S-?qf@RyevA#;Y}}5DM-sX6BFGJA-SY
z>XpttdX?;Lq8=xrfByV&akKdLRRDcc(bZ$|%i73xt$M=rPnR5++=-dCC>K5gx6e}w
zjb(yv3&Gjm!xM6>&@a?5pA<QcADci~Yfq90(L7#Mas2aBFi)%YOd!4DBfoG~Mepf+
z8G5JsX_bV`owN^=lRBpTxj4|*FEdfDKCd1wnh%8CH9bB3d}-ag)xX5*{NH@=H!x_l
zhjk=~2!`67t)p8Y)eDxkiO_qcub;}lsFW~R99R93`$t;Yz+h3v8|jp?S1Z)3LRJgI
zn@e1!WrrMZM3`oqDW%7$&~<VqeIM-IJV;VHvw9Zdk#T0kXmEV@<kByEwx~~PlR>7E
z?@5VjkeW^bJnr6XnV(Xj9I}`V;<Fq`mef(};C4pL+59*4`j*tFy-^+~nq5=jbhSLx
zvrCf2q%r<X$tudE&KDZC>K?=Q#v@cR!cdu^$P4{cyce>2J#0CTg39pyC5t>UT0hQA
zbhX?wzfZ!F8NOXdM=n{6Q28@i#3&#6Nn+NwJTKdlknV;Z4h(uI4JilQl(k&c3IFy@
zxRfq9Qkdvlr_5x~aEBw^A5YGE#B!Fj;>0$Dxu0CT&ss}_>(}4Ky{8gl;xC{oy?m$F
zmW%XBp!=3Q0bQX~1YY#<5$hQaf^#h5v8>yttP#U0^;BgH1Fg?HHT-ezoLM&0_a7@=
zkx@RJdBV>eN-~}|q|AD9bb2~m{IVilxzr`IeLSp(O7z!pWL*O36Cz0psZji9q>_|R
zCGk`r;gjk8Z@qA^?Ng<gD7yau6L(nfvwWniSV<RQtV#RSKUhS34TCz?-dP?vUC!A#
z*!~lyuS(B>{zWb*SaM>zlPy4#CE+o%llzQ_N(u@hQ`@Ez;=|j#a^}n#_O8ria#qE}
z<z0aW+W+o;GO4HAqPSSZ#YbbWKL5GB)VBespmTDxf0l%#$-?9C1(dxTA$`5QI>4Al
z=H|uC8(+VC$+eo2E-W6c=y029rGPR%Ip39X8;Th8B(tz7wYSfF{>h=L1+U%7{>h;h
z9;?GbqFbH!_70YE$S5e@+z+G#&UC*6SOq{zgcuna)eKowXW?a47yW-Rb5(;0cBn8L
zTcB7(Lc&855)up$7Kh2JSHdINz&82pyQL%cJv}|9CMHX{RasfVec2jI))FaQ&5MhR
z^d$=m3oTn)Tl9VWCcW&^_wU;o83I?v^BP`6=YRV28WH~8)$=@h>50SfRkVbJMB1lM
z(IaVJH~tM&W+n7-ZeMNA&d!FC!@sh!asy3%nNz(PU<sq=>@0kIbTq%XC?_Z=Xg*jN
zfGX2#AqW1tv2ul&z}eZEho3(J6%!ZN=IMzn+6rG}5Rd1o+WWXUeR{H6Jr~WbJ3l=w
zWnp3A4uuER@*s*6h$_rwXZb@x0WUxG1*l&wpcM+t#Mf(ZfoSdR?L{re5wtbjt?P7{
z%=-g#jT7LNbDmHv=^9f?OQVgAjZq>5Wnc4d^|9K7K#R2Q&(+S%$(hSkEils6y(c3h
zQ?)-ECu%!S%HX!8lp36U@KQ}p4v^IyG=Z&^)dY}lSIV45gd{;tY3Xg{XV17rMB<>A
z$ji&4&<Y8{5rE*W$wI=yJc5EzGVf?V1O^fT7ovGsSbP)|6im&{4S>2UD=PMWJ>bgA
z%L}`I|30mtIc+!w<GAqas<4PiL0X!xb0w&fRXthRvn_FOrulgz0Y1K4tgL?Y^z=vb
zDIq_K(e|P&>FMczf(1wCZG~VUp*wx9#B$=-y!mX!k?oS>PZM)<O&#KgL8yJ8FH4{f
zlyULe3O_V4fd1oAaTZ)HZS4>FtNU|Fb6X4D1HHYC-ri?g^M7n^S{vx=Th;rM$tx%r
z*x2v_1HWH~G4h4Ov7<NFC%%JT(6_VWr=h0q@9eC3{Ti=5PB7#$*UL{?Ssa=k$95-&
zW2b5CZKlS?+)g?<>SZ5)=UYzPty-@mG8jU+2o}jID9m<#xMzIp$`5k~lhB{RZ_32C
zKUI(552%j~nH<3uarwP#A9*&v$D-QF#YGqBq175BA8hguT}GCZ_2>5X_84#9zEbY6
z<{KP*0jU`srGF5~F8S)!%^+!(cMKBm0H+Y-JP}b>XQ$_lCuucfV+<!JC%0j4QRq4V
zLCf`VNm?OmJQkUEQgGy7zkbOtS~)nVRP`>{b}nrL%W}Z#=i}#}NIG5KYs>+~q;<Hn
z!f2d7I*i>OiU&gpiCb>1?{8Gn`MMj1IaF`MX2J*2RH(**jKhdt;WZ%M+}sR}j`oj_
zr^O>6ID@#lxkVf+XFm6WIc0xYaYZ=cBB)FPOJ0A_DZot11mzz;o(T>PF125wHfWCz
zfDWAkP=rRKpO=`^(R&<OrD_DvN{kJyc=7ZZSnMAje(&lcgN1#Th=|w8^j~0iLC2i^
z$M)y6w6viU`*evzbF{Jq3r(=}OyW!ouc75~KR3H(6)h}2OM83Yq$CDpd~ajwIy?K*
zItqIFi!LrMrUUu-us-FGx%Py>#l=@BR#qR>+rU6FDyo3@@Bf;fon^jx^Sq$>uqVhy
zW)_x+A;sBflS>HPI~1AsD~buiZ$Q(0>edH^usm2qv{t!G|Bg<C06-YT1uo%5t<#g^
z{!%Mlzo|GHA{)0w6Azbehi8jzv`%0H1O)|s^7A8vZ4MggbKepylq>Y~3Q$Q7_V#XF
zyXFfdoEjB%`GK4qwDgS)yc!0NqpnXQ)6;sww{Kf+&3FBNRis|@iUP!jF&{M*HMJc4
zMSzdr)z=pVv&b96Tin5f=7A%<C^6?Bx`xJ9DB*;6AaAdsuc1(uzdoVmL`t~Y@_(2O
z6)UB8cLDf8iLr$hvidDF%|_2gSLx}~-}*_;zs6Q)n`aM3dpPP=GgfuhltGuXb8)TZ
zo}?$a^H61gY?x6VOcZmuLPpkQ?6TrO4>J5!{>w=HL<x_?{r&yQD#4Lwaj1xzZE4tS
z9q~fnp(*WVL}oYEsVA*|sxIN_+Z}yu7wVD%-ocprA;((vsk{5h{v4%5VrTVJr@oI|
zFf)1D-w84`tLZ`1<=P9?F=}m>Q@W8|xq@ALCQ(ep%nmbDs-)(u|8i|8V_05H+7RK@
z#=Bq02M-9N-kW4Ly5b%xqv**#b@`qgmuh)rtrX^yMV5w7Cy~{HD;sBmg=+c5qNP3(
z?!V+Y#O~6tvcAW;qd_McBK^RuHyfQ*-;jteB%~wYNrp%t9TjOYF*j36F;jZdd*V=w
znyonhmY3&X*IOVP6c+k;o}3mah1!-!dO6@d`yZ38-P=~u#iTMaqLLR@O*F5Kck21<
z_hzE8*d~P`Wy5KFp<IN%li73ru@HAruBT>Fa*Cdx9AaN0_Q@h_B9it-k6m$6rvq>w
z4u&ofgP8dd`ZEciQ&PT;-iBj%J(u)M5Mv(FYVho{A;E&wjw$sBA9*%T?t+f(P$7B6
zZhQDmf?^)KONP_#X<@m4k^e|wHo~JMQNO=SKsJ4HO*^$dTUWlux2DyLec>fz8s)Lk
zN)&B(uP@uYySlM1ZjxIFdNM?I=aQB5s*E)aC20m>XXi<XXQH5HT9utf<uJj<i-Nil
zT|0shU@tN(y-o)G8xQTjm}>uXFZfLQRC)Y~8~ZDCtH7Qv@{S)Ff_%<vZH;*Di$Y6)
zzp?+K{2fy-CxW2Rzrb}NZf|ez<!tb#&C<A2{WUvVT0=vlN#eT!z7KOVlH9#84mx0k
z=k-famy#MI<9kC<I`96wJM@{|d0}BX@{J;=`s7<tTPaIU#pZcXQsZ-d1$|zLE~`S=
z<&1-agLr;b$(aPZunw0*)H8xj1#AV=(F!W)yX!kUzU*xonVI#VtGI1u<=I~p6Jt=4
zk@}*$!!~CxUiAI?l}%3-TbQ8|lhV)xsumci<_}TYs1THCJa|APdpEt?&M`ADj|_an
zH>mB^hPJe{YxB0>E*^$SL933Bj~5<MjMOhIEYzCs{2=zK06r?6lBZHsWJ0o0XxzQN
z)vXv;Nb}cUufh1y-*1gz>o2omy(S;+nVih1fBYkcm)mMmO5bU1v~sUW;)KatG<0xq
z&=TwjSFj^*Q3pG&*Ai}kqf^)3ei4f8cPJWfeSHax_^9y+33V5KrDB~_=#?8kcsr0%
zstRz6=()MMqlN8m!mhU(uff5ZBVT)TfRg>+zV$|-_r^|-HIJqkPVYQ<atSNY4SrI~
zN8iGUh=}N~auZ2(UcBK7)dP6eHz$YdWU2au2)q`J;xe~G``>+iQ<b};_e@RM@7}$;
z-dBA>fxReDwMg=J>+&7aj%aRN0I`vG5g{QYSO+$z>Yx?XoDjU=PsXx3u9}x!&eIGH
zEEIJvr*en7wY4?Z<J4VGPmdA$MUvYN)yIz?Z<!79{qF6ZoQcwu1~13k+dDKqJ_v4{
zT0lVH`t|FcFLRpS-+0nFIQZ6K)QM1ATRU3Nf*$L{&c<2PfhPiud=CiYor<O#MR9TQ
z-q6^IFBk$$;^Oo*Ka<W!acb1HCx|G48;t!v*2eH55%1TJ3kV44|7ORgoTZj3PXPvy
zv9&>^8x;cMxB=I421#_?Y@rW{f`(XixGEBE2R0$r3}$TOf%~uo+BY38%~R}X(z5J(
zx%@Lpf&pBD_3iEZj~<c2`3N!ofq~y)O>_csynTC~n2HBaUtj+$F|pK(7c}S3Ls$SP
zik&#<k_t)U7gD<Xg=}U$QM9zQx7-eFr|0H;P+QJoz@RjIe0*A~!(~|C9L*6($>E)l
zK-c(=jtHEh_Yn~>W(B;kF&vlkn!c$McwS;vVC3Wb3kFXXjb7Mz4#adXh1=~5`V4Ga
zZ-sPRw4R~iZt2h3*=$i35(e?%>89}vrIhs?k7FVXY64K@w$mmGun1m!&-w_~(qN%+
zb6eZ@Pw4Q_q@)lK3JCJ$%NOi~KsSt`Z5kS)SzTRyUi2!$`r6Ls=G~`H|Dt!EXVNc!
zG51p~i&8qJ%QVi70$2f@pS}Hk?T$pTXi+B~SVp}o?lUtp;No$sUZ$ip;E~DB$f#-K
zst$7cGpoI~KH-+#rMBA2*w@qZAuH<w+!A8mPNSi&{zzRts6*nE_Vjq{G*~G`8V7ml
zIDxNUJwC3rJXE46bg5*F+tSwdwT}<3{c`_@quV(-IWi_DY_CjAxV7u><dekdz%kx~
z1%zE|E#a(eE2F~rMiSjICIvZwWjF|U8q(lsfes1Um}-i1>q`b7%wf#UZ=k?1&TOb_
zW48Pc@aI}9<5<KKBGt%^-Re_1<k92D-bY8S*yH!*Xg0w{omf~nhctI|$UJ)%L7oi(
z0c=jJM1*Rjd}b$5^XLrtZF{TbYj?<jpK1UMutCDdkIWT^tK~+frms^{Sgt81W)>R0
zD-*z}X>26m;NWQ8dGqE?t8N0vn0X84D%@!O$?@UCMdMem?t(`HuA9~VrhdiA!4kYB
zB_;K`<pl0F<MU@pc(>~G#07QrYHdpk*q`$A#TGtY8cx#oc6JRR5-0v#)koy;Sw~pt
z*a8YB>5m`sN2?CiKEU#gAq*k8xwnpHxIDaISNM`JyaUa8g^G&GakXsj{SG)<UQm!H
zK@!|{Ke`R*M@mZ@)I{$>OdU)BLeoDaq^UWKrR(?a*XfDQ=hd?IOD19g6Ja6v0t40<
z@i7C$8+If%EOe)H!yZ89b6rIM)s7DOsv9Bl@dZhECM+xr@l25k!Hyz=fIGH#csLcn
zn&_F8mDO?rIQOKgYOU&Ud}_*v<3;h-f&GjY_w_F?OUy^~Nk~FADib7nfB%Mol-|$l
zUp?4f>RhmG6&s0-rN)}m7!(s58xdd_9cMq1TvS8>Th`LrnrGkYAvvtnTUUs$@V|PR
zlenBch?hLvUVeOc*?eQo<CF&8d;?DEc9A^?pjDZMij9zpO5epHet!NBnVG~fF)`1-
z*&3%G7L7TTCZN!*wy7oGUR}DA&Xsu9&Bh_|{K0r*Fb!;2NhvA3Gq|`}8t*zgRu_4#
zErO`|&!0PYu9x#(Zm7#F5JKF)Qa0jPA!|TH^WjqMzq>3r687ibN|Nbee0Nl0e*4D8
zamCB#*Z!k@FD^%Gz1qI4P90TywKx0T3PA&vY7eUZ<Ve~7DVxg2S3Z+hUlqN5m=az|
z@GR6*;6>@F(A~#l!^WYc4jk;V>9sltHEAqU)^j5)x8V(VpUuQWWDzgJO!aqP0zSWa
zli8MBF4@R0+uCy1+~j++galKBYSFC-azi~LZc=Ux-hSk>P0|bBPKyjbC}J6oS-JJ~
zPmZsq8T(FOn6^azX1LSfsjDoUAO37qdYn%EO7+S{uhdfwoZ&O`_j=tfF5P^`f8otl
zf5sO`fZ-k6od<4e=N#>8h`tf}Gwv3Ya$PxFGt7EP;raIIZT;lMG8K50m&zYUYc-gU
zAdbnOD#Lk|g1PxP;63Ubo0md5#Y!Qgve#di2ajd(${4ct+1$_7(A<eb)iR=Q$$BcC
z30i4G1`)^OimXn>`tq>@rMMt6WCy2)gW=@Qb;NTouBEts<d7=6uF~*7A)L-DrvDm)
z{?8HHe-2ygJl!%)4Gd;Qk?#bHjz0He^J>o_JiNSX4HDi@4x3p*^oZ-d2-uscgAGVp
z4hi8S4VMNzj*lYvI=;Ml?u9~M#*wG>*S+vO^eQ@^3jA_cS670?P;Uwi2w5R_5E!u-
zkf{G}-7|ujv4L{eeI5)3lM88{Nfb|VvFU&}bPEvMnyS!7LwpEHbSCQFVC^&_t_n}s
zf-@UXys>!^6BARbuxezU(;tKIV!%i;N=jdBrKMdPFidKgZV4~XS_xMa_kzYp$)RRT
zC{`FR=_Jj`#`gWgJ-<wiMmnOiXYVL0D~FVv0_ylf{nQtdkYETAKe!GxAC5+V06E>2
zl*I8RraFVhtZ(;e>bA!Vf#rj%rwWq0*`oSbAX~Hg9h6-X5aLjU?!#8xSsgL4uJ~Jl
z6)!KF#tYkhX>y}7^4Sb>{R*yaXnn3Wo#sfD`?0XPx;i7e^01&Cc05!JZ)x2FH}*E3
zn>TNcFDwi!xPzOYk(1K|wbAAGY%q-=q)RT(UX=IP(ODq~AsO~rfE`jUjc<Q>9CRni
zACyAOlBrfCr`q1qQX53YOZtxh@5Yi!&Py|Ef|nJJ+~P;;_cC9UWH;G?FQE-Q>bCg(
z4)uFOJp@1!;KK(rb9_QVo>3Pw00e^Y@bHYUt&xC_;ppgiT|yeb=q*f7bm0Wlu4<_2
zh$kdb@`<8Uqobpic6Rq65Z(JTHaG%t1QaJi_+k*P5IJBFVy<8VEWF+>vR3o+=fiz6
z4HXr`;-7>JuB1>09XDH8H|8WxsgQNBZm^>au`X8$5HfFvs86NKuKi)KFjRNZy>Xwt
z?xYhvdl8>nPi&VRNgII<IS!XI@!fAKs`}_Eh~vSO<ELv7z<oRFR+PwNg)se`r<Ije
z=9e!z_Vxm9uCCG1(XtqrnVU}@Kfd0^^WedQ1;~Jhht=tYtY3qZ@_T6;)e;m$EG#6H
zS5_7S?QLswbMgUKCFE4nloS+J;3vt;$xUL@>gDAh&<P+M0^ACRMftbYNQR`Oqzr(y
z1>)J+(QzGOWgajIu&$+;n8tz%n44pcQ^A~3e#BIDK%o(EQt$`0-Q3*#@~rIaX1s6-
zg)_(U^@+gilf@ADcp+D4XxhLi6F)ur1C+@Mxl}D!Ke4oH1s&o`oyvgf5CAzW_t(PJ
z(2F{TB9JKc(u;YZ_F)h<U^Es7DpDDU2YGoA6be<-)AMXU3?3J_2p|FhAPXdi!1tw=
z6K9r}mmfWP<Ozv7w!QN5UP3}+W8XFeUj7aq8LL7(mad`y-XRCy);}NsoABKs2V!@G
z$X)5#vp0Ktj;X=+kh6IMO97jcl9R*#X9~>h4Mr=R`t$W4M71H{<Z)?jFZSdX6*c%?
zpm7#e1|H4L<90K_MTf#8C07JYugFdUb<Y=P0Z$M!h|^Xdj;!4>?Z1_&UPcb7r&x9a
zHNgt)0H7q8>rWzaad9^m(v$uf^E!e!0;dnGU6SjH$^SRx1wBRB6vEI1V&OajhLzO4
zd$?)xF*?@qfONXx>)m!-XFOT=lVAib0GHGcE18m0J;QYF|BZM7E0~MThJ4{U5GiSC
ztmThw)+L7;rIt9|>577?B_Nu@g*IW>xQ&0IuurE<H-~8yZ-Y*Nz4cp9!_v}nO_-;K
zz$_HPS*=@Fl6zj^An>?GBRJQgQBi*N^-_?2T{k@UZ^GR~S%8?*($eJ8(&sTY%1@sr
zgQ^7I`a9fS9+Ux4bj&wyoLlP6`VPT;cA?ACeOix1l{i4vL0mqM6IZOdeO_+QVeli`
zt1Csup-d4_SNvp8_h_f2nt#atP*4}V-2p}sVd2T6{Xf^1Hvjw~1N*7loVZj{qzI}-
zf2E5cG7jgvZNGdal1uX)6wuouBHueYND#}TJu67iZ%&*iA@PH;$5wR+P_KI0%(dSK
z+ZPiaE=dmk0m57<Il1$IB-lWMM$jBe!v%n~)+~0LA4TU7wJhbb>v*2<jLrm9@&)UC
zdy9$<g5i;oJe`K~;m$y<N@{9vA$)Z`Tqywq(+9l7-W*Mfd=Gv7tMCj5_Fc%V*`Y)x
zCMI4p90J#G0-i0pb~@XU6vE)Xhx7UKXT|^kcV;fGoS}_U)~y{Ki~j}tkYzt9ure}|
zGBqJO`pQgQI>f8i-DwYhFW8E@?%hK3Ffn<BUwim?u*}V=Ih5(zWk1xu$LX#IEsx&W
z5{of~&DjQeWM=GmcdTRVXjYJ&gX7tbadm(B_84gB+c3RQ>$|2MODqUI;i-yYcoGVX
zP$(pT*p7{jjTaXKD{;Ex7{|UqTm#iN;o?&}yP|w`h$>Vg(HMwGv_S%-uVBH`dHYL?
zvudQ%$&u6S+#K7=)>9QTj2_J41%i7ygEZ{Wtgz3VPzN`@Tx0WgC4@QIUnv>egy3Wj
zoCfnQ-E*@6LlzFOQm@bmnAQM2V?$t*C>G*mNf&S)fn3AF!*y49@Yo*pP^p$W1pM<!
zusYB7FgB1&^Ut^@RzU#pB{$LJGQv|&37~OkIlNuh7;lUo-Z<;ci2YICJjE$?FT9+i
To=^vm&LQag3R2m3wY>iW%TaJ$

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld-members.html b/docs/manual/classbayesnet_1_1_k_d_b_ld-members.html
new file mode 100644
index 0000000..8fe1817
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b_ld-members.html
@@ -0,0 +1,174 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_k_d_b_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::KDBLd Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;KDB&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>KDB</b>(int k, float theta=0.03) (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>KDBLd</b>(int k) (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~KDB</b>()=default (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~KDBLd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld.html b/docs/manual/classbayesnet_1_1_k_d_b_ld.html
new file mode 100644
index 0000000..46b2470
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b_ld.html
@@ -0,0 +1,445 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::KDBLd Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_k_d_b_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
+<a href="classbayesnet_1_1_k_d_b_ld-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::KDBLd Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::KDBLd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_k_d_b_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_ld_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_k_d_b_ld_inherit__map" id="abayesnet_1_1_k_d_b_ld_inherit__map">
+<area shape="rect" title=" " alt="" coords="99,226,223,252"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="34,153,144,178"/>
+<area shape="poly" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
+<area shape="poly" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::KDBLd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_k_d_b_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_ld_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_k_d_b_ld_coll__map" id="abayesnet_1_1_k_d_b_ld_coll__map">
+<area shape="rect" title=" " alt="" coords="222,241,346,267"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="121,168,231,193"/>
+<area shape="poly" title=" " alt="" coords="208,200,267,239,264,243,205,205"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
+<area shape="poly" title=" " alt="" coords="310,208,292,242,288,240,305,206"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a1731eaee88b4cceeac4c0b36f3171696" id="r_a1731eaee88b4cceeac4c0b36f3171696"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1731eaee88b4cceeac4c0b36f3171696">KDBLd</a> (int k)</td></tr>
+<tr class="separator:a1731eaee88b4cceeac4c0b36f3171696"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a333fe633a492ad82dabd54b4ed0000d6" id="r_a333fe633a492ad82dabd54b4ed0000d6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a333fe633a492ad82dabd54b4ed0000d6">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a333fe633a492ad82dabd54b4ed0000d6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3e07572f93160bda7df463ed028a64a9" id="r_a3e07572f93160bda7df463ed028a64a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3e07572f93160bda7df463ed028a64a9">graph</a> (const std::string &amp;name=&quot;KDB&quot;) const override</td></tr>
+<tr class="separator:a3e07572f93160bda7df463ed028a64a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6d946c93852ce7ff1c005c0b38c50d8f" id="r_a6d946c93852ce7ff1c005c0b38c50d8f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6d946c93852ce7ff1c005c0b38c50d8f">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a6d946c93852ce7ff1c005c0b38c50d8f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_k_d_b"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_k_d_b')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td></tr>
+<tr class="memitem:affc7cceae4f7a6f2a4fe0fed00c2e254 inherit pub_methods_classbayesnet_1_1_k_d_b" id="r_affc7cceae4f7a6f2a4fe0fed00c2e254"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_k_d_b.html#affc7cceae4f7a6f2a4fe0fed00c2e254">KDB</a> (int k, float theta=0.03)</td></tr>
+<tr class="separator:affc7cceae4f7a6f2a4fe0fed00c2e254 inherit pub_methods_classbayesnet_1_1_k_d_b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af68389e8ae04fb9b26dea3b8f534f383 inherit pub_methods_classbayesnet_1_1_k_d_b" id="r_af68389e8ae04fb9b26dea3b8f534f383"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_k_d_b.html#af68389e8ae04fb9b26dea3b8f534f383">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
+<tr class="separator:af68389e8ae04fb9b26dea3b8f534f383 inherit pub_methods_classbayesnet_1_1_k_d_b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
+<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-static-methods" name="pub-static-methods"></a>
+Static Public Member Functions</h2></td></tr>
+<tr class="memitem:a00af03a6fbe2e9e059e01122b367e817" id="r_a00af03a6fbe2e9e059e01122b367e817"><td class="memItemLeft" align="right" valign="top">static std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a00af03a6fbe2e9e059e01122b367e817">version</a> ()</td></tr>
+<tr class="separator:a00af03a6fbe2e9e059e01122b367e817"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_k_d_b"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_k_d_b')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td></tr>
+<tr class="memitem:adb293a6da8f05f2c4d8eb746f2b6153a inherit pro_methods_classbayesnet_1_1_k_d_b" id="r_adb293a6da8f05f2c4d8eb746f2b6153a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_k_d_b.html#adb293a6da8f05f2c4d8eb746f2b6153a">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:adb293a6da8f05f2c4d8eb746f2b6153a inherit pro_methods_classbayesnet_1_1_k_d_b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
+<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
+<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
+<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
+<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8h_source.html#l00013">13</a> of file <a class="el" href="_k_d_b_ld_8h_source.html">KDBLd.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a1731eaee88b4cceeac4c0b36f3171696" name="a1731eaee88b4cceeac4c0b36f3171696"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1731eaee88b4cceeac4c0b36f3171696">&#9670;&#160;</a></span>KDBLd()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::KDBLd::KDBLd </td>
+          <td>(</td>
+          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>k</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a333fe633a492ad82dabd54b4ed0000d6" name="a333fe633a492ad82dabd54b4ed0000d6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a333fe633a492ad82dabd54b4ed0000d6">&#9670;&#160;</a></span>fit()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> &amp; bayesnet::KDBLd::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00011">11</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a3e07572f93160bda7df463ed028a64a9" name="a3e07572f93160bda7df463ed028a64a9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3e07572f93160bda7df463ed028a64a9">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::KDBLd::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;KDB&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00031">31</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6d946c93852ce7ff1c005c0b38c50d8f" name="a6d946c93852ce7ff1c005c0b38c50d8f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6d946c93852ce7ff1c005c0b38c50d8f">&#9670;&#160;</a></span>predict()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::KDBLd::predict </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00026">26</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a00af03a6fbe2e9e059e01122b367e817" name="a00af03a6fbe2e9e059e01122b367e817"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a00af03a6fbe2e9e059e01122b367e817">&#9670;&#160;</a></span>version()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">static std::string bayesnet::KDBLd::version </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8h_source.html#l00021">21</a> of file <a class="el" href="_k_d_b_ld_8h_source.html">KDBLd.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_ld_8h_source.html">KDBLd.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map
new file mode 100644
index 0000000..0bc95ec
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::KDBLd" name="bayesnet::KDBLd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="222,241,346,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="121,168,231,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="208,200,267,239,264,243,205,205"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
+<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="310,208,292,242,288,240,305,206"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5
new file mode 100644
index 0000000..5a460c8
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5
@@ -0,0 +1 @@
+c341d14e86ad0c1b8e028db9c194d855
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..b39b8d94f03dde91e43428f963686c3f284cf077
GIT binary patch
literal 16788
zcmdUXWmr~Wv+g1UK|nwdB$Sd=x<N$*2|+?qT2i`8N@);K5R@*FE|G2!kp}4wDd}$T
z%=_(cfBWox_PNgaasC{=#OsCizUx`@%*-=$-}ex#_*4oXmjV|-5PTVF31tL93x<D$
zm$BeGlHY>(;XkYwPoyM}zo@?{wV6=}LW9UiJXCQ_Sf6~QO|o!-z134PA%RIsS`(OR
zkUdWw@$p?ACae6jUweDc*q^tCYu+rq(;=F~UFvYB+7+W?&uFF3npGu)HagfWE+!+A
zjv2RIwQ_C4!^@kQGN{@Iw|U{ztJb47VKmY7e$U#PN35HP3mUB-q4?#0eF@6REJ!4x
zq#Tbi^1jz}S&2wCdlLg4T{$OhJyFCZKt-}T&6%4VFBALf%`@LAp*<t-b-c*)XyxQ(
zqQ^lYG{@vV_^N$nYo}=pk@3jeA(6nOc9P&1zSvg_evpf+bQb7T=Xg-NOgfQ?ii+lV
z+)FbNv7f*EtG|CgJXOSZ3JumWpsmaR|7qNoL@i78zj@)*FFE%;_}V8ShsFG#$`)pE
z0WbT%M4ue?cwdw}x9-98xkAQ1lkrhkTv3tm?EIX|xSb?H*r|QT)!CW<i+p^*+1VMZ
zruXB=Sg03GP2xyHTND$QX*ZSSL<P~SgSE!U+fQ<gYWd_nCl1l{Pxk(3lv!%V9^djl
z<GO$R*~Fuh;qKjh-8z2N*)O3I&!1Ba<!L&weO=CZ@{v6#EG)m*flt0!%cj;JmXV^A
z{@B*p`A6!bKte)7+ev|*e8>5pM0?A97<P7c<ouT8kHe{g^}LQR=~Ov3!c_?3=H}+Q
znqPhgds{2NsE9B)IJlP=A0fPXGu+P)bHc8b`sdG|4SnfSx&OYxnf3DNA0JqrZT*gT
z5EJ)zP+e~}-li@)(n)QoC6sJ?qk2<K^K`%MZtcW}s3_mHwYAmz&a+LI-sL&QYier7
z_$tZ7eWAU3w`;}Tq~r#Chtzs^t|gS2l{H7Dtf+{yGx@=-!uktge(Q;#_w-V9@cqu+
zy#3mm``R2!(-#K<sE4U`UT=D)aL?Z~$qlQxxOjOmmn`YkhETkl4MXexO^g07_|BVC
z_@<_&h?uM_F5}aLpz6&!%B%PGdY!IhlnxUixVX5Aii-L?ujJLI56-JMs;)#aDFn0`
zu^v{In<utN&kbZhQ|tL~1s6AG?ds=~<ros2s5ZZ?En8Q2_cYjkav^($ot+&7;o{<2
zo~Y#U@bH-V^XH||yRe)0D2RxNGRDjXb4V`^>;Ix52b<Fo;D~8Xt3zf(c{dh2V-4NX
zyW$0|QVTo!L_}O2`}WfJ=*SgOfBJWFVq&XXWHUuF^g8NNEPM*TgaoR1D|i~}rS8P$
zt=Z=7M(kS%a{caeKiWqD8ap~7p7$Q76O~VURU3~zpSId>RO_af3a4RbCvaHm_HR@?
z$<V5HzWYTX*=tf;Ag+1L(EDr~JC66|o0=NYqtnyhN87)Hf`S_A|DM};?Da`i{Jl8s
zSnr7CG3`xxh>@pTOJOzkExYWAQ~7hx$-}?LJ>GL?$GiL-chwvdU%!6sx)807ARjsO
z0&;WNOnQ>6US{f4J0F1)Ac$7EwSQ(N6S#lxXPIlFyPZ6o@m<CTnSOqL%9>yWUv`};
z8a}>KI*!~TV|Y4R*vY&sumrlktE(UnH#hmMTM8T;9Nn=zfefQ1rV0gm^+|DGxcK;@
z3knM4<mBc9@F|x!HoDW&=pv2e<nX|HpOTY%CMLAY%m+g_>d&}2bgI5T%Y0h=D3CzA
z&O<2T)`M;cLT)y;P)SKi?IL}&)5A@LNKvmdK{QSV20w@eIcez>SoDLFW%_ulNTZIJ
zyEmw*t^TMxI`Wcn=z2`POz)FMs06I3OnZ{LG)qkEj<#m^_V(r>mhN<DtXAjWA8D_A
z+0RIUht<Jf!g%|(Kk_Ly)~#8H^=qPogM&=u{rmUN_WBiMB6HR9U(|b@x3533`+<gm
z#VITtcYJ(IIyU{n&`>j4uZfJ3vIDkImH7$e1({z{Q%PW-i3&S<9c^vboq3tac|V+M
z<Tr2XZdiD)3zM;H|9t3+^`4>rc#)Fda^#(tmls1@viC)-d>n6TpP3QFL1JR!aSNH=
zJBDY^o{gqH!misN(t`asKRqllXbxa#TT1p$a+$Ehex|I<x>t2w#N&w5(9lpoZLm(w
zV$$rrw5;sc&UikH>!*8v9+ixCrb|UA_wy!+xP-&PET?LOhV!*r&(1umDl0XeKLiC`
zewrZoo}tot{W-tI(A(J9*v^g)LtWjQD9eGlc1DT~9UUF#(<DP(7dvm5$NhNo20hZd
zPASCYc_bCr3rszaZOM2m-Rl0B%nE7Ii=*Ejv;Jg9XS+SS!Awahfq~eWPZMP$`A@BL
zua?;tXqAWKQ}TcAGy4`>X!O3KkBW4(dw~>3%af&>oQzC8)k-&y@p|ydx6LT;>o}2A
zkP2_PFVjY5gi06>xgBj82nz{uJ$R7pu-G}f_ox5Q{QP%_Ja)~mezdf-3~i9v`a3#u
zRbs#o9kyl~!E6v^MPRlBE<-FG9UV7tXxziXPb9%?)@=)4hVr%2!RcaN>gnly&dhAq
z=bS0&x$pb&BN>E4kx?7*$ml2<Lcwe10~y<(|BF0ltlY>~<10TRZe2yd(BfdHDyP+e
z?nIGvZ~~1I6Z{X#%Ol0~_s_N-S&kH;K~%mjEaWJ&8dqagXyY(-aCUyIr1ZXv-$q43
z0#o<ZI$zDj$?DNo^Hri-w<27oJ;}1Ov;S$UlcS@VorR90*}$*U+GnSm^@bN`$HoPo
z(`MlzmP<P-M)5AIL;1>9L%jP=(;Np7%yZ*5^`+XZY-+Ji&VPPgN=iyP+HSp7Y%$C(
zy7QBMd8$@q?)UFv!&U-JY;24Qd$PpjWW8+T+L{{MgEh?#$F}o7aKDi{PmvGGs>0H`
z!<y&UN7@CwFGSxyrl+E!LXZdNd)LOwZ6d%I4Z9PBq@|^O;OUTt@$vDm6Of{ah>71w
z-SQ;q?(UAUN!s7q@~N&CiHwT6D>8VzyJYw0*X@LRudZWY6MX-~W%w>BDSV;h<L@@6
zWC?x!l#I#9;nmQqab;sQsv*-UGBPrPE*lAhb>l0(`3W~~-n4acY5_ZPn)RkAuj+m^
z!hyq~y#~js7OTwO$k;f#I+5+`y&U)W)%?26Q>*c^mimi*4!J~O(({vj-|Fg9{Cplk
zL2@_<1R-Ef4%S0YH>$6SIIlHqOjZ}053(X+yNg}LuMRhqJ4kIdSM3}fzr#<q`=oBo
z#+oKIVq6vVS?r3Rc1&K4*W$O;5%qD}nt2HEbi?q++s5o?nZ4g$K07)(LXa}c(Knwz
zGjw#XZf-`v*?_7Q$OWtujIq6EUSq$DjSYq)<~0MDg@}sk?f&X8Jr@^Ia{zubcyC{t
z<Q3Q)ty+sO3|dy`KEA%b#_z5o2Wz9g5f3g#R(KI`Q+hr=QgD-zGAqi*5jVqP?rObg
z@Im{h*Hl$h=+8F!yKdGV7P;-3kcT}cAtg1~Ul|N~`}X^{m;LQ~r;i;bmYoYa`3tYC
ztk&uMf+C@}%u37S<WHtRP4~=<{vE9{yxLcX0qN=V0eCmwsOGArLUxXMP<PW~>){zh
z_R(A@2clj1$Q=BSoX4co$zgPSJY6P=@e{W(u66Y~Kk5`&ux3+26X0gF8@DRw5)}Ld
z-pEUihsw#JAt7eG6n{21d*FQR?dS+KYz<%dEE6@7qsrDn^Q$wK2gj%W{6H()8B&!L
z85vob#c((Q0YL(%0s56IS6*_*3hFl?!otE|T{fro4h|MWNZF(>+;qy0gzw6PQ;WpF
zl8QzdW$vG@l{h*(FOHR3$mmuMxh*BSJRf5b(h+4;+R=l}zCl9r9d50eWSGARN$TrZ
z;Ep}yH@DrzzR}Ux@bGX)d;2s<U;<WSMw)f=pT37JX8m+#w~=d7(<`9XF3gJKXH=R#
z@cg>>Nun5vSxEj<+>A=2PKyf*eQj;Qg|!D1GG9|td>|Y=-~^V<H--KER$iW2UM>Kq
zprG51QAdh%+j+LDT$+ZsIQsh9S_Sxqz25K(Zbk!1<4_4178aIaPv3J0;|u~U*z^J3
zFosIUKgw8`nA+vFbJe_0lke-8*L`_;wm+=rHq(IiM1<5hUp_L%cO~B_e{%r}ji-^F
zJv~c}zSwS1ALCm2QnuOgj8}4dX1|S7VUUgVtUnootltJZ&P`AMTTSAdY=|GJz%vF`
zdLEvrY45-HM4VQ>_dNJp(>~0!5)k*Cf%VbB`Pjpd@1#|pje7R>++Ut1hGZstQCxj+
zR;0`2m*xC*Gjwb|W@6Hj-ow+g!-G{h=tS(mQz`zZy8jhgzasd2XfAR;OG71J)V}iR
zI~0&PJb{FKkKy$DN7Ya3sJ7GWwXYdVXTVARG-`suhWPxmc~^X?+6}U3@da<cl$)H;
zZsZmn%R8;lDBAw&?n=F}yROZbKBZ|+8EIV4oS#&AY;#0hu5HGfiS{Xv<oXC-v$y)5
z+Rozj=(3vO`wt}fC{?-`sh5QmH$~H&Bk7bd<WJt<cM%BUH&El6l59VBCP?EC$jUkH
zGgr#YTZ?t&_z?HVo)cmAJ<$JNcR%_RSC6&;-uB2}(&4(#B^m^yljbYhojbi-7ghSI
z<pqI3@sAbr*X(8tGLE=k>mu?gjRYYNq}Db^bsn~5Jh6N9S$aUxJJdM6N&GWnrY)*~
z#>h<0r=MZcw0cW4EAMY_aTeL)n}C>mhY!q<3(2DRH{2LS7|12XXH-H$#fO;-y!5Cx
z$h@eRyzT{!?p&z=IWze~GZl@e`r9k1Ijq?BlK9_JJBV5>TbsCe%^XOhKR#B>RxbZ$
zfjmtZoi5qc&T98;ttPxJ{XVOa(X;DE+zl2?3Qe~VB^G96l@EV6{mp>QV61{lJzpKR
z4ldQ(Swxpc^@`KNJ?#TexeS(;R{Dd(lh0$1LWCvn%c=Y3SLhjIxKiQ{ZCKmW7%0qf
zWo$js;2l;NX^$C<RZ_Y7#$2+{lY?X|UKy<hhgHF8;r!Jk`oor}uv!JnoP(6K?)P*`
z&9QuU&<xm@UJ@uO(uC9y+txjQ6KtN5l9lB}KO+4SYkX7d5_y&`{wTTflo!23C794Q
z*H=~8=g=}i9>Fz1;_dCZ>^8J3FSOMq*EUNvANngQJu5nS_=H$a-YVgI+8m#0<qivR
zsn6(J$&^9gH=1Z#V?uM=VYIRr_IbbQ4i3lga$2Q(+u0vpI&;`4K%P07UUP~f34T7~
zi>*rWI$G>c36Acu#V<?KCQ1j44^$*8!B{5MW@6{=3rYUJqTe(eGy3D-A7F~j3Wc>1
ztGNDNNt9Fnf>VNiA7iVujX*C@vZOG4TY^t>%0jOh{Z;>x;vO>SNO-pU>sl9bL2Cc`
z$@>CY$wWHIv>1(hDv3irSEJwH_}plSaehiZso0#3IfwRLIyGy2=;)@Sl8PSsvTO@&
z6v5t^0R9<Uc0rO#j+|6^f~xxxiBl-7`uo(|VLtJPv;7D7oX*xh+;{QS{40fANxoYn
zdh%~mlc$7Q^2>i5raXC_c>Dy>!NaopIsbj?0Y(FS{p&w>?eoL*xi`Vp=(vvItSjVT
zx1S;UPU2|S#)V$UwQ&W7(dIBSk)<OZ7BnxK%8Qf3xmxa;un>m0+`t=qx8><c@X^EL
z*M;t?e(w)KO6r(D(Mkh4JHe~MMtfMoRh0%9K8>=EW^(jPr8ec}7Hh{%ZJuC9owxFu
zDab!v^HhPb^a7t~)xJxTj8y3LZ_TXe@8?g&`Vp3XBncMIGD=na{wVj&0DCPD4y`#8
z3$fF{XHUmo_L*zMSEW-4#V43=R1~DE?Wz4(vwX|AB}7_>7iQw~kM~Ew`z;NFxR(}Z
z3X%KI8a~c))u?aEHB}u}QJYt}+gf7OI$TzYgsZGkSIy7hNLtcv`;&yky&Tl5b18S>
z^fGL>u2I>%BmRLwGVSIFd0OXa<<SFXOU7-<5odxvk*K5oSCa&M#;MQnd={M#7Kit{
z=_O>88CHVBXxkH_!f+Hv@cerorMo3h#eR=QpPkV^3-Jl8O}tJR*UKccDF>hHA~494
zF3{WEg`XSU#Edkn<E!eeCT7=#tQ6P#%WP93VbN{(Y36z-y_XYZf-Gd-X9YgCNzpMB
zkRWpHOyM+NP~6X$id~7%z4QVbDPOrm2;DeE?g!Sr!^3IIbs;_Pb0@=BuTIqy6B2Zn
zr|Z4FoaTx7K5AR%1o8(kJ2(@FKg=5rk~iS;(AbpQ57V?m_X#*~UVJ#{fyMRi+xes}
zmT&5N<&{`KN-|e)Z=18T5bqECAT+i<q!&l?z+)j9WcTpyX~D{Ds!PT3R2X;HwY1DT
zKb-d7)E2F^8t2da^ojhVMY5Fg`bhEbvdEshFQ@A~@vZXGab$$92dzeS$nR5UHyLi-
ze62{F4!LN_T`FhOd2M9Y%GA^avw;fXL92M@p~Yg1wRH!P${0AkxVZ4f_5nERz8NRE
z8b&X|d#Pv*n&2LPKfg~d8xukk`kZ$#dhx{Qd>j!eK&nJ}*x3s*zr3_SCJ0g#S@yf{
z9Zu}-Kq;>^K02E5&XR(V@SW<pme>Hp&hR78OcHhcmT5$S)jw>ukE+0h0S&Q5?+u$z
zl+9*}RxUvt9c*p4&<Q1W{)~)_EJ9srX2?m-ABjgT>T3H0>`Z{%JlNX$v;!s(p~MS_
zkf}4~rO;x|n8M!TM85y{!T*bQ{R#5dVjxS&0WPnW2@i!oz4@(ak0a@5kqmMnl4mJJ
zAq@dV<oDCy?#vmwIF~Q~gkw+-LD~+n@W^ewpyScQ;H1C{5LsJaZ$$*j2nn}tBY0GT
zTX;SZXm6RBnJdV|)WpOZ-at3;V0?Po8{g*<qR&YlfMLsUoD9fR7NAu+6;%_`)K#qJ
zoGiq1xEbWfND^Za@pmR==DnqvnRi%-tj_Uk7Ww}0XxC2+>xk?7v+X!Z1$48F4^_7s
zT!uvteh>QFVE0P1?3YAE^(!$kWu_xZG;OTQAz3YJ`vf%Rgc;<L7x(U9VHVRmirfmt
zRo2=ISJkTZK2)$;TkDJ`;S_q|UHB+k=RO<Tlag)QZPyn8%I3X%5l-0eEIG;TWv1M^
z4DTV|Su?t$YL+)Qr*&B*5fqjoD#!RN_Mx3peOs&_^Ll$mW_F0i7ZUyen<b4}`oYI+
zo>$9COL#WXdnKO973S=l#g&nYl>-iP4-bJdr&h!VJ6d@)T3HXNVB_a^CXpefq!b|+
z>&XrEx|H$<prIe{RkpXc*X0@e`6CT;SaY)yKT8LF{V<m!Ci=+VC3{OrgZI|3h_V&&
zps9_>So{mLPg$;;kV;K+&2`Yw&`zbh(Tm)M3v^nc0KTBPk^gcm?$t)6DM#C=Y_>w(
z`N6nKh6+Pl1X{!N^xvx)DxZ|iM*%Q;)o#R1&2;P#dj0NHUQQm=Dq8yfPM>i@8@&-x
zdH=tm6gfkGsI$L>u9TD~wpo&0N%?7JTIV7wKK*S)!^YCm@>+%pQ&igr$7#<)9p+;V
zZEfu<k#~C%MGl`xO9xfX8$wIO4#lnuy7ZOHm!-4A;TG@dXf3OEghITp9aYmY=HV(^
z?1!s7ySrIhSerJ6LlY5l2q`)-)rFDPI!4=?xQwMm_4SG-^PSI4*t6q8x|`B`ecHW9
zPQGGiG&-$c*2kvw<H91dxTdsY_1cmF3AR^^2d^?WBf9pw0b;Jg30*vcpNgj+`%P)0
zuwF3(t}{~&UPwM?4{A%GO3ZpKo-V|3CvLHKJt4*AI=qQbQG-_xKlICWiY})8ZaP20
zG%Vcd?n;BcfhNPF4^x^skBl}klcVol%lwo0C}@SQydfn1E30(Zr7iSem*%ov8~3Gb
z*^XE1tCmA}#fbRShO3-csr<kdWrpwap?E4bh$|ZIrk|8U$dp@-IDFJC$x@7lTgL=H
z8nRnONLL`^uFxb`TrZc?;59|pK=jRxQrx9BMayMT*Or)!;LI4k_T@5Li8#04>t>K}
z0*hK_!|GE>rc#=ClpYN#*X~Z_Ez}-3si}xOj5ZqHvR52&!Eo3|T?_$lU0Fnaf$?2j
zQcjEX^VE<?Pgs>Z77_N0fT4l!42x9N{2$a37!8T%VnV5MuCwW5k;eE*?%se;<;-m2
z!Mqr6FuKKX3BYpe;@)+Sjg=+l`4}ZIoUwn))@YF#x21?)uSh7Ncn}3MZ(M&tl2Yf;
zzg{Zno*Ny6x|<S-Usl5Kw_2JnGBY<AKaQNzlzl#A_;+&CNn}7}lS+I*!rmn+i~s#Y
z^Gan`V%*)PbRn<-Qk2(vF@@El@v1eALbbv#iv_~Oywp7F`9po~*RVw%nmu<=rhkdN
zAlXXywJ6ZWx;7^~-|Q$(X3&R+U6g>kn--9xp8M(?<tTK6>auo)wOZXls7fS9#Fw!2
zH3?2?eD6BmGh8<0P6(b#kNU8?`hnb<<ctOKifY3CvFvNYCSew0adiVOyi3KzgDT8w
zjt_coVOfb}&0VqAk!mlm#5IV2D|1;#l0a2SF$m$LzY}Mpa*Vs)>4~gaD$nzZ<N6UU
zMDYYae*utZ4@<^HnoD?&{m8%+n~a6qtCaIP8*2QxO4eaXo)2F!a_y<zaW7vc&v(I6
zav52r7E^hvyu$JH>C^OyiHW^%<=g1*A{qs8{7vZhx|Ov^uV1HQlJZ&+pLh=SJCT5Z
zfa9NElAGjd0m1;acpWd0)fxr~KmPH5;5+`sgsh}oV|uC&z?OS!Zwt^1Tfd%g&@wY$
zh654Rk3UTmHg*#g5upV5>Jh+=(RmN(=`m0*3}&ORIwXs_5d)gm_#=$6*tF;79nG(w
zWrx@#RH5|3&dA6x=!)ZWZ>@L<M8reLCH~3Y|L=$j@gR40NVLCan*%k8AhQBM%OGQ7
zYRbdLwp!KG@$+ZOmzSjGC7(Mx<>I;)xp%uvczTlVSvUzrwSDjG?8Ge}{c8N=v6Pg$
z;4mEB&4BVnzgz->VfG#EBk4%!oG}#{152$8aupW#KQefFcvN_uyT|twm)(=$1`H8k
zT>g(7&QKZr`0-<Cw2+cWd_-}St}joMC&1so7+_izS-bB+M4eq-w`Jfq{jIHmU=2e^
z#7Ao-J&_DjVH7REH9Qe{oc{i<R@ppY*3yx{%&h&&xB?*VD8T7;d%vE<V65gA*0mq3
zkN0<Vh2?9NF9NP46WJPZD-+OoIB(nGjlc9cZD$%@cXoG|jV?~QOv`7GKw(zlzHc5m
z-{gPA4d9&TJJAXE0lPx8{d;k4TqXsbce&O0<FA(Qi^}d=?zasY0%ite6&C>5Zaw!7
zd%L^C0fG0}?GmUo>7tkdbTNiMZ~q<u^Wd6qLqgI3oGZ7P)=eGOfsTA%!#ETZ2?z}2
zp{Msn?Z(c|T!N5;bmYBP2lFTUt9P*()Ya7)85!*Xt8#R4F;!9`lHq1#46wGg27tlT
z+L~Rf)V$@Ro>we9(;OgTBLH5r>(wQ|lbV9R#YRWB00+RXQRD;oA(LB%G@>speR+3h
z=hM4)VhRchUO;T{k27>6$w){^Ic(3h3@1)~dwC5X%lCFQ-|%%Di}AFY`_aSGb8psu
z|87=zaQ=az5`epd)!_&RtAkp>-#%y<<kZx6O^L;Wb|$6&H%NHL!wf)pw9BojcXxOH
zEH0V|aY{)@*a9}f&{k?O{1w;&a4sW2c41|LuMR8;sD(eYhEt~l97cBc`F9@EZpD7y
z>m(!}gw2vf-F`(HgO7M@w~$$t$*67E_X8e0Qe^OmBJ6Q|51S@~rPUQJ&m3v*4mRSl
z6Ws(Zs5!+wIT$6yRW70Wljr5uVQ>SDFP@&B?~{@Ud>egw?w{i6>gsOo?luGEsBdbD
zjR59}_Bf2fUp}6{(TLjs=nnD+UZMyM3kwdAA<IMgl)^3>Z=rNG1P4`=O$Ag7g((*s
zG-CnehgDZs2VkLAwkW`;F@HrwMAEaeewxHbFZ}-P+wqa(ci=5A=G~Fa`oH0T()!-<
zJo{D(4wX%Jepf;AWC}dC-5QJ5TIl%ti0}$j)SMJywzjqif+9%Frt9vZm@{BqX=rKD
z;7$l)V`I}{|GPCp3U>FV=bn<Fh=?JSrbq$R{N&{1`-B8bp?8T7yl;Y=Gyzc0WjiDG
z_685upFe*zfc;7G*pb1+!g@Z&M}Bek>hqDlRc=@N3Xpf&Iy%MBIN(w6W(^oViMjI-
z{>081T4;@|JX2Fst31EklfPC?s4COVu)-YGW>m@acc#&Iq{fZs$J-mefMBKqBe=D_
zjfPl`e!T>-5`$4*U;hAw?*Hk}Gz88j#`hEj^FqGK(<&!mfR(-lI5bbM{w72<ik4;9
ztqB6ml15N)#QsXw-Lf%E1RFb0xjv!@Qm4n+cI$AWvz=Wd1nl<It4#yI7{OM+nKrEq
z<`Uhw5sYG_HS6<HDM?^#x_wXQGA(PyS3~0RNoPucdcguRzKsobzkd{GWd%W2ffR1p
zmv#vddO_!y`Av;~*8;3*JdNWG&VOF|0uVD9d&vEm4bxty`6|_b$fk#eUKua7kiy2s
ze)@^?wZFeVZ>$^@r#?bWO+8xeV&neml|xGiX+}XGnO+G~8}I@4U?2#*Hq&I!7{DsE
zfr*r{2h6!<w_D`yy0%FEONyngcqt%i0d)NZ$R^5<s!M+UG9)f5Yk^45J3u)L3K*Tv
zpZubA^F|b5+Ra?K_slH7tib`w#`728Yi1`xS$X-=iSDZZ05C;9{1*W8wXF9+)AM+S
zyV$$!KmRA((zqCv<o=kPXhr7NsRPkVyHZSfmpJ-8K$qaTNr}QvbHI%0W~>sICz0SN
zks8T~YcMb|8LkXuy8^Vm4e_u_Ed>S5&q?{Frr}{S92^|?R;V^<>=~ghYGQ?Y;WBL=
z)Ly6;H=?p60g6O%C$)wH<d}-b99x9qDgl71h_me5$oKQFB&IV4^PFN4eETc(L#*8@
z8Qy)t>%xw2&?iT58iKLcO(&rP1zMV#@HrVCW-kH7kL5(kpenf#zpQ8yu7eft)~>J&
zZGO_U5b5`XrQHBt&}<7LK4x*xeQ1THh|{`ZDdyC=4T^|0f?&K=QNI#EI2RLz`X+J2
zqefR_bb`31<vz;gJcm29D-0}fr`Wwql;#bW5rURolG%X@uA2i~F@#QFETvqt19F0f
z?0L~kW(+@8No0bA<zXGFm)~Ni=<xL16x;IC;O}FKCUp7;7h8z#-;QtcIVIJ1Nesjf
zKo?bBPxZ_C4Q1T(=4GG0-U2Ne<Py10y_y39?TRSec!<V|1g$9?*SEPo)s*istR1yX
z|K7q83Ndfy_|v>Eu|&!`v3^-sQJ?XUDB@xCZr2R1Gp=h|9374l2g(2#M3{6}nYSZ)
zv)<{wIEkdIX)Z6$FVOTS6kmqQA1~~Swk~lRF0^+4fgS%RAo>5F7k{8YOa!39SxJ_9
zNJL7tQd*r?{61B*%qFwy!k~|jPi1*kA4*rloN>Q$a6M!!V&3o&@<~AC?%F;seNF_>
z2MGxYd*QUKvp~9iNlQy()oImnnN-bK4;@>86S#821K=1G`3Bt{>N;8$mNxCd)vc|q
ztQFOu=ii^df5(Lbj;<#29?WSF4dL`(U$jA(paeCjoP3>KJIm#RIiKf=qlAP+3Q(Of
zZrB7=4RCM-5z#+}hV>Rl-4Puq1&rKkfO`Wx>A}h2rcG?-OA08+DwVASEQauWvGAK9
zBj?uKQq8E_AlqH)k$U_%z<8{y3!nb+Td|0n_Z;O^xkg7vQF4W?lhwlJ(b3~CW05>K
z2Jd5H0{AS3mZ^V#aRO!&m~2w73t&6LAgybDxk@GIgJSdGt>nCBgoys}&Vr!(9y6dI
zsUO6(wW&}v7NjZheqKa9<okcC!tpWgh?yLFs+N9IrRTBLh%M;2ObG8cu(62%&B=?O
z?`S{qzEmdtQo{#=lC2>vo7AGBtuN!SI6EC7At9PzD4;*OtwHLyb#Vz)jy`ShQd7GQ
z^}jynhl_EEe%=H)@t{hq*+2<uDl03^etnklAFFZQrnBDjHEX%_0u(c@f6ot}?AvvI
z;`+pC@WxmePE=qoo1w1R8ZnH}TnzO0j}~@tg*u6dl+>Ro*<&Ywdyrw@s-FD5hhUQ1
z;*E|y;KH_`I(-4<ldXe8Nhb$0GlKA%^&+U_4DagIh}8>HJrxzdH*el3cVHA%YP*fk
zJudf@{0W#zixD@is3;XMb!KDVSWp@yP@f=TpxJ=(0`JzXTOg}>&Yu7F|3*B65sCOf
zodpU40yuLY#`9Yd-nw;lru{YnG(4z-#jG#Qf8neA)2HEG{M9a-;owvTpwc*+@x6*5
zP-8bi6@TZrAdy{7o95zVxc&uH`wMlmK&JXa{rnqnwDM!o^u8eQg2_b(^Qw~?y$=KR
z-rk@fxdGaRmjA4cX$1VH$Z1s#o}j6x=PIZz8hLs|F-k_?f`E$%4v(e>7u#3AS&d)c
z*w_G06K`jC7p-B%zO2kY--<)Re{G_&<cX!_9jFO4P`wIf162MdMn;_X?<YaAmcV05
zAoCS&t6lGPk5Asv+?*BE2C<(${RFi`@8o162w51~0P+OY1xmjF`)>)#BanC*>sC1i
z1N-<Qkbt_v<JkV@1Fr-q^NhiH04A!?Z$yXkDw)CU?8pxNzb%*BfdAzd79RUmxV&rz
z1<J_Ex7yl!dLS*Rs;=&bTf@DK%j8Q;x}cj_;oi+uNbXk4fBv2!>@hu>EmS=~$@80b
z#kD{i*5BVB1?$M^wNP9`6@?&NOVpA)m6S%cekB9L=S}0|@f@{##0m+5jnH*&fuzg;
z^mMQGmLEpS$;i+m1mv7PeSLkRc5|5josK2ON)U8+*RNlHeluRc<|as3^4LwGf*U(%
z8Rh2TVLKCU{qe&dr7}`2?g^$?c^oRCtQ=`Pm8V%UlBsYjuFK@+J@*fBU$!SI9o~k8
z8AF9tX+0^txU>YlRo4#I+n}Hs$XPOx7Q+R`@W>$QX#*byLe>uI87g5%<_KyL=;fr?
zpMMK7?M_Jj^70NdGtKc*<IH?pRLmX7Lo=Zqb!H{<U)LH_L=O%Qpa+EN2r9;m+plDX
zLL^jFNXE;op6v9{Z6E!P*!3sVo!RYq(8HAE`Ua{ZP!yW`@4n+Jksc`jhp|vBvYlNj
zlw=SA?a)&K+V*}vS(1*OJ)EJ^b^C?8n_INGA!>1=u0_U_UotbbZfboqBRV};w{Q^B
z8gCjZtB;lxXBP-o{=e!KX4;)b{-20dHp%S&B~}@D!cpr7&;rQ(aC6lQe?YEd`!<1U
z818$Xe260>B6>Zn`wAZ=2t+AgzPGmih8|YZ+<XOpsb9-;k^>HqAlQfbg@svA5e9{Z
zK7vmE$-PVvpCLYwUm+$72S9bC3k}yDBn2v9v#FZOg<=qV(9zR3FaBE`db71Plrk^;
zpIeXuk7~=}?cc5R3=EhN_fMD;5)<!Yl%qr>E-uhFe_iNuzc_Q#u5!ddWr~K^7+fZu
z<e;oDgoDF%r;Uk-oZReX`FsO?p>AQ>;9?jBRL=+vU@8jt_DLA!<NUnNPf`InR{O|u
z=gxQUzo&X~vD_^t<1N_VK=}bJ*J1$AN;aHv(S0>;4r^1j)dMwi>zD|HBGk0yc(R+L
zCD<r2VAq1BRVYv~gNtSLs`Ehmyx@*S>5h;F;OmP)zkzCuAUlXd|2+HqHwJ=IA4Nt+
z-my{i_Vz}l_5MtS)(X4dcWmacZ@MBt<ZF~$CoXJ+{qGwWk?emqF4!GnjJ6A1D2<R-
zV%-pI%<Sy!YcSi#_9#%P3=F7z{``3csDjp%hrYd_Oc6cb>(7XRPF)J}oAR?~sCEo>
z7{IaijU;VM`XF@Y9^~(%<E3QihXF^o7Z?PI70S4X`iA0js3d&YOjAJaCKNzGZH{v9
zv>M2+mDWabb7kY!hPJkx_wL<$$w@9~Jt26Vl(f%`_t*4v^4;g(Qb3ahO?U^0Oo~B}
zg32{Apg@X3jv)U>o4ZU_IYFEm0LQgFGt+=`jj^bx=pAEJFa{Q03N-E@>yd}Hv_PZy
z&3y83QfOg)<U9!5gbaV+fqrlvL|;#!yMZ%e$lmi1q@8!1YRl&#k9x*h3_iFxqF-NM
z7xKRFh*bZ<fM{GetqcT%)0&u@=NQM%aRo>IjT5lxPD!D;DdL<bUih#WB@DTBcm?hV
z(zNd@&XrS6e?ctT2kJo3h&Vbp{Dy4vl9%EJNGCzxf_3RqvFGUlN~;2D-KWsI{xkBY
z%WabJv_p4P%cQkWu>@T<v}2D!7%G)b%>gJ*+?V$ZDEJ5}#?>-)52ki#W1n;l^M=)5
zoUlPnr2jHAEw5B25}bmUA}rdxkTF|EGL2!Bqy6K*^d8OJ9B_h#Q3^21FfuWrB)+82
z!|!;bGIF#*zVy#eeiiH%!`;w<%F35pPf~yq_z09H+Xv$|zq<scp_*Z5XJ4MIc8NWf
z%~sY6RJt)VhG{!_RU<f_=~VI<6s*dNCIOLoVGf#F1vOT7wN?<s@S!i;+S)z|JFzBt
zoxBu1+iG@iCF1j2BlEU*aw^pnH0KtIA{6NQSChu~7Jjs|zuz*f=bi8JmXZ!2p8x38
z{@J*31-s9{`UelPpV@)@+j+HKZ<b=IC%F(RUSY8iiF<(Y;MCF&xKiM8rkpA4tEIDg
z+g$8)aH!UXP^2T_W<HdsVed~ihW?8C6P7BP@h-9G(~#DwidjD5@zSQqv%WB`_1j?l
z(c2>?dgDeG<4R%%KeT9=K9$Aa6xbya&@b$r)QEg)RgNBqJYFZIXr__0WZbe=NjV9e
zax<rgRce!-kZQ5v2a@!CXt#eBh@;MaPL6iQESY|AIdqmD;rFps#Ek-;mu;_Gg%T?B
zG{0UmEan+Xjr!ff3bRi*RBB?puWfjlzIzj<;O1~-7u~iLVe0oeL=z*DB|<}S;faQW
zvi4W<2yaVV%F!S!^ih*44#obkPBL?4<`(YJFGZj69F{a@DIhH#&YtJCJVf&`37p>V
zR@H*L%~7m-eYdEv=Qp^sl#Q!SAkHCmDSJBSer!>&3V`+)-_bu*$cocFSn*02<kHLs
z2rI~<GclJ}isy%qU?zzif08+-EhiK9@ZXSUN>(T?S_4lF`DC{)>FA5bl=9(>xCbBX
z_1&rF@4I%trt~5^GbLPHEYV^viP&6@*ovWLd`HW*kbN3)CFcZHdOL{-Z6|+dO!9*8
zR9-!l%VgDJB}q~8#SzncXO9u|l+m*hpvNO+jK^X+hpr}=G#}Az-oWLS8bFxvn`uN4
z|GtLHNpvKCqln~tNRgRDpj8H*wt5LpvE>WrhNlRc>}-{uVH$!hNtL^3<`e>NZJ!-M
zqL759=yAP9wg=Y_hE*R8%4HbPkc>4F)cZ*~3{6yiI8@>LR1|%89e11h^;FR|DI+GH
zioI!n*E{OxLH0FdDLb7eZ!r}`4~p~$6{9aBxo-w<mRxgZeL>{oopkU>d)fJ9`FdFr
zCwVV<!!6vRM?x;Cu|OkE;8n)3N?ZbN=C4?%Wmf9a{(UQIimqyWF%psuhHdkw1lK_+
zHdu91D|ZFK`w>m&wQii*`BQ8`cfE0i5L`>8$uHmXxY3ujYwUN_L0@CS>m{TU<6YJo
zVcCk;zQz9SykwxzbkIT{A~_Ppibq`bSu2?q70;it3*ac>l;L6`dCU24-@jhLXWpaJ
zSKv7av{{;vIbBxNxv`r4o~BN@AsvZC%rGxkp6`D_xhAdzfokBmNa_QhN|jH>-C|AO
z%?<`c)OAR%HwTh#k#+feRKJwnB_vdF4L226T1j@pvP#pwQYMJ?`t`1GSp(AG3*;g(
z%J-u{0Q2#s1TFmyZHlLdkLY}^y?<@4($)&@WB5#fSBofXo=wOawXZpi6P3K5&o0d}
zOkvvo67ws-Q^s*$%2^jT6nsi_%bdbP9Xt1A_t~pKX#leanfEBC2<X*V{a+z9ql(RJ
zJJloti!1Wz^+?c1y~JE$Zbn)OzK|+~+me^&?q_gbYM5rHv=zJ)aJZb9%g=30gD3WC
z?02%eX?6#k%9j)UtQM?_nq`qk(s|qzTN6@`25;9o3}Rh-G1^c-*h*4ttokl4$0eys
zuA9NHS7zRKMFsdk<U4r=XS-5!>K6G_u1mpKgQ8D8hMD=Vt+*-86=BG5X;_~~y3|Z&
z?jg-Gc@jhyM10x{D~Y*`xaV&R+Hsf=l;?B&Nz5#WLP=bFNMEm58l_O6fwqcMS!h<#
z6>oD`L_KWY?*>AJoM~+`@4rrvxvbRe=lw{bE6C+T6Em|V=C+YhN>!FiL7e_CGD~Y`
zu}EcCt3kz5u}#r`UY%E^kO&-ndMYR0cLWJ+esL5uRcVgig~oyYlMOQlvRvIe)a{Eh
z>x}xvMeaa~N-63qxa_U9UDVzy^6_TU(Hko&YP+`-7eqHcPxXr^c+x_89?;)>@R=Kg
z8%C0%m*+T4u&D?lX0vua=Dnh#-ewJU5USM3aEUpQ0E1=SM(NKOuU%*Lzl^SB&@i8c
zJ#eGeK{YTazvfX%GZB&seo0@uJHP};oy6VZIj?AH($9>PK{S_+Sn&g!4FzR3wFh52
zA2In%+uLvH0mUrvk1KiqT;b;xnK4FqQV8=qKh>~mWWe^a`q^Z1kP?W^_Wev<c?KUV
z0MkTSE#l=4Dat{ZGub321?~u2D#?Dg6B~&8M1mIIzh2fFK2f9mxxh$kUYtcknjGc3
zfyBIb<>18{XY%Yia9^rYh4<6=h#@^sUiSu~wn56zdPy&ZFvDjE(X}qeegZQBaZ{Dn
zk6rOx&>C`5&5P<}Rya^j5FUi9{J`w#GTMwMVw1EHs6(XX76@0WfSiC~_9{=(u*efn
zMwCe(66qCJf1#CSab)~QO0dCGG66f0XE(igcX<X}jw011;RNM_S-xubQ@p-f5Ii6*
zME|t35>O$-wU*~n5P}=}!w}hE<W%3hv!94sW~=;2yR|cx#KTlJpGv;-ycc^|W0h62
zMd-wI7=zb<CEtVq2om1##UAWgr<mcW*ik>uwYDB1D+{~l7;YS$ODRq|W0g6p3Pe5X
zX>@~wOvvzqFng~x)H~R3?ff8A{p?ckLft!N&jmeM>QYW7NTE<4>27SCBK*tx>Is{F
zCYtDE1=oSUSId<95~~Sw!}JGnhbW@L)kI0{fB4d~)afl}<0e+b_ur!ViLYv^uG_`+
zj>nh$1<{}@k*-ZqCs2w*J&=OrWM(8?;EN#TPw4vX#u&uSX`||eqLP=60?`vbG||;^
z2Yp4w^lO~)KgNYckqxyBYB%s*H_}sAl%4YbuJlAE(QG|dNpa7w8e(f_LRA_bgrA=l
zP=sJ#mQ%q^rw;Z_?Ze9|*pH{$67>-$Y43>~;zdEo%*M*RTCs&5rLCOAY?QnWdxz*M
zx~lmcdu(ND6yZv<$62YeArkoXaBiCK!N}2MK2(f~n^dH!`#Afi<5Pb#pKfXyj*yk+
z<_tAYUE4H>znP9VuKS7L_iaPfd?`~YwE}H7iA_QQ@qZ*ZI=Zw_<&~l-A=b_|Qs#CH
zjh5+OR!hjIRdY`Ssi}I=5>n|NSV45)j!l?$ziPFhdS(qg08a@&oJvSpLs2mW>L^Bx
z;s3Rc`ZoalKcV53m(+qN?%caa4dZDj^l3j_IUhCo1^sL);ASyy04n?d`L7QOnF$x!
zXaG5INLtzhZ(NireCyyKpuD`?_$G>-ELIsuRg44K*ETAChbymALTd$$t&VjW46==Y
zj9e;$;<Q@6`~zw)eHZ5E^`TQlG0=bywb<03tIaNLPE=llL7F1D<oli!s9C3X$;lBw
zbE6@1b93)vVz7K?+YQ#Byg!23KVJ~o`>H=UlOhI9mKd;lfSk_E%=moxKvHwO7!R!|
zTWK9I&$z}SFkb|%73;*uv8VsYN-$s`wo`ShsoL=mF$KTn<qX!t+qkG9s*)0i*ac}i
z0Rb}LK8JOl_VbdEkfZ?rOlrRSE8__aiA1-n<yDC7tqfiP-orK98TyZ~i}O>hFA7Pb
z!I!RFPXUH*dGfSpTA4!7RzI635Ue;0!*9(%WIvmw0<_51(Xl4={(uQ8H_djM@W42s
zFG#eTjJQ+b!#)Yx(ZPe*0vYcC{p!z-4&O$7pXB6QsDS_&sz`^$9Ifj8#hqz?=m~En
z7jeGhey|oiKW~H@76YOQ7`z4mW4SCxIGHoH05qOM-5%cB2Loj&kQY`ct)S2f&Gz<B
z`Un)rA?4+Dzoxc!8+?}<pMtk&Y!QC=K0ZDa!0D^Me}p{(UV0lfX!!Fzz3aiKDOyUW
zWAPk%U!mRu7$*BronKQ^(_5e;;&HlOo)PkWzw9NzH*DX|L5ddy%<CMOu427xyf;fJ
zUHN0<3QE8+U<(b-8)aOZnr*CKzkU${hXx=T9wk3sveyX<43-7x*1FSzxS_CS2NyNM
z2K*L^y928W!c3#>-m(&mKcoW8zzmJL$YzZ%xU9i)Zz@=<8Ne$X7Z(@DjfoqmIS`A&
zS}Z_@P<%OxG&Jc>z?o?u?Sy`~7*M#+85y&QE>n%rm-p4aa>=!Vc{gkrG-!bFuHK9%
zWQZ65JhF*I+9LP}^fpHTU!x(-fmaK+4tBP;8>ebtJ?RRKh-ig*H+1=a@X`PjtPDei
z3uPb#EVf^e72WH7v~_scit79UsdHClFoHDs90fZ-#6S=|-khqngB^b-0fTpNg+CxF
zC{!6xD(NRrd|?s?{3QJ5JzQj@-unS;Hx5vMD3TT&lAPP<vUF2R%O%f~y~fuV*kZ)s
zV<WY%1W;&p1IE>v%B3W>Xyf^x?``evo2<$wv7mW{XCAfObqBf*B^aEB=@SpwR&t0~
zux$}wAh<TU(BEtQU<o0OP-4!241*UL6cNEuo)2N120nNh56`cpga_mUfv6cM!6!O2
zsDsQF@K+Y6m!E+u7%8{8^+EaQPiArvaBa*Ps8N)T#=gczv|9K5CWsk37~7Zwhz7<V
z5yS|p85n;>`AumO+`75B8RHtGTv5WqZ{~xzAWUF$Vp3?c!-WU`B*z$UHI)T82+Cbx
zo=>C7k)_IcJp?=^x*G7qrJ02VRr4vpHe|zOP<BN55a1Fa0Ptv7twO7L*QuNYaRhI%
zr_Nr0aRsGj$VUy9{LS6n1P#%vdjJ(nKYjWGXvc6eUDw8);dK;tsM!qwGn-l-Eb1Tg
zK)_qi&dt4n&zrOlW`d*vjO@?u?#BRU^Z}+hzqt6~aAOi+8){gcIlxZFsdM$cR;6y~
zAy>NrWby}+dZ<7r6o3wDK!!`J-nJPvfj@D%Zt2HcRaaG^SJ;OZ=hMy3&-;D*_Dy*g
zHE=cl_5QmKd9ZZc7X!Evg35PPg0={1`vJ)71%*P#{x(cv(Ez+=KT`);8<iCS2mmOq
z$9}604h-Al9pkmhYBC19?K#OiI#ndVm<l?rkW7J)5QUwAxMX>(G&kd(mSrgp;_U3q
zeC#xe;?-LV1U&NrglrrfBz^z>ea4P9VDf+*{Os%maF(gatdFjus)~*#Wsjq9adDB3
zjqM8j6g8I>!=Z=b2OQT%`gRi5)+_;&`*<>3YM~Aw^>vs6#g;j{INb!Jv%9<+xQ#0E
z@P|RKa|Un(D&kPdsLu2B1t@70WeosEcD*=Wnq6K-kp$Ez`swe*;RD!|6gZWZ$ICfh
zym+xS@JvB-%mU^jlU(O;@^q@NYn53(eEO6CvWYFwF)$NIBP>h-st*YWaFj_<vviO>
zi(>oK;*s85bq-WUWsJfBZ54_%@;dp$1fz-ANV}X~M_(UNYHF(M?=XQP&r|1rjNR?f
zR?J=PaC3D<(P*x~G<8hmz-f)!@t2a%91{j<;aIC3(Ch;pNqe5lRE?YK{ClY)xS*o4
zvJt`pfTB`0Vk##1wE<kH-wRNAcZK2@sG=ODZI1rQpAiJc#>S1n;@f9`9)X>Pn6y0Z
z6bCwiLckg?g9OG_?Z7<TzCDPdhDOl0Z@loi(N%trh{0UGeP$AXZnN!=Ua_!3FPcz(
zwVq;c^$x5GQ<e~6IlqnzFP3}JQTLOG{_4D518N!LBp0v><O-C*$?v)EIelcSd-UhI
zY&K<GOaJqDq~Nr%daP-1uvE^jfWur*hD`j!DgZSaK$W1QqtC3a=DJWRg`${UCq=kB
z7iex!3OF%1g#VX`e?wyNWt!W!Gt{PVSy_9`c*ic@$>1}gN-7C%%7!oSu(jzy=AS<Z
pr@3GOr3ux|zkdmeTl<S9D!`sXDVuHzzh(iEk$fsqAg=%Be*nd0jW_@R

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map
new file mode 100644
index 0000000..fd4e399
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::KDBLd" name="bayesnet::KDBLd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="99,226,223,252"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="34,153,144,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5
new file mode 100644
index 0000000..8da87ae
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5
@@ -0,0 +1 @@
+464954a9aef0437aadb100e747a29b93
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..4240afd7b461da41f5941be8c5cc95c822423003
GIT binary patch
literal 12914
zcmch;1yq%Lxb8a<q+6s>N<<WCkd}~;M(LDp3F(whkrDv`K>-D6>Fx#*nRJSTw9<Lr
zxz@gSk8|$6=iD*w7<;U-mczL|zWIIsc>mAydmkcHm1PNVsc{hq1cAJqv^oNT#tr|X
zVPnE4r>u86;SWp`1zBmtCF-B|4S5L&1U*7tTH>k4yUiJI?L_kn@ts3aTG=aCF+`%W
zo)wh+VmOPqUAFWsGU+ijGWES}6Jc7-q=jywcrkCq^OFi)z9jAmeOEqPimafwW#*+G
zlZpzr9?6lBEwS>n{k=GUrpU-iixG+?UcCP2`$~%E*73B!P<_Knh9%}hY=&TB$$$P6
zu9sHpB>VXBV}ba#4Yg?E{j9_jHeO!dzFF6BWZP~h9dp>7oC}9oli*K8@v(?;n{6TK
zbv5>GwwN2DwO9Lyv;7XXW^A`frSF=RxT8s8JC!qc2NT!cmS73~CW^z&5WFS-8i(P9
zN}wWkmUo4rpPEsgN@nL|g>9+bL|N`9SqfgIw!cH-M&_ASRRS{6l*5e4h5EHGaGp0F
zvwR;JQPb6pyf{BKovrs=ohZMJnD0%x>+vf|tHi8_lrpB1#s93nUgVx(J!Nszg^<3!
zzT<K~mECv=nuLVJ>TH8BA?<^Jl??Bqo|{_Xlhb?A_io?DO5?Y;iPYW5H)`^elb8QI
z=F6wlmakFZxc2?lwA++DCw0sNuRT^tDXCJ6fmDmazvHE*)u&r^rO)TYq#r$6SO~k>
zc{t}E>vw*#usZw!5wN&u@<q1-_t&pq1L{(qo`UeyS=Q7D`uq0@t*x!Af4&laotzwY
z?Y1&+-%nh%=iUb!5z6xN&wO)obH5J_#WH*T>b*`*M)t#_30}n}Rdd_z?yr@V^6c#F
z$&1KH+zfI5M&!?X<amGo{#~E3$Wu;#o0#~tIJMt`2W_X*$?Iq#Owg?RwasC1;kN63
zR<4ljE83n<pFU9^#!~TwGN&XZJwlA0%)J%*ogc@Hj*ebq-bbEx_<3_hF5cYS{NCNW
z<(@t{iHT%eFuaqqL)V6T`B=K^8ycu+XcV-xwAgZvzDW_4e)<&7oRXN>-rW4q%iDXT
zt1GPBa)?D<`Q3v!CnqPQ8$6A$>+kl>sj39#k&%&!Vk2?t7#X+KZ!hu4@0Ez*T>eRJ
zDv^!7vA45hoP6J)+W*ooe(Cd*yw$C(!O;RO_>lz6pqFi7L@P;mwd^X7r{*r+Jib#~
zUCk*bmcd+OH^DvYz1@I3DVi%{@9vDD>5{$S*<Nd)H)p@!qM1JDdq{`2Gv5+4>PMK8
zlA@@n$gCsUO|2(uUuAA)R^oelaF2~`u{(}wZGQftySsbiZYRz3SL<urb=!?Xr}63O
zN)!|n4%5|fhK7dI4c_h*Vx!W5ia!)g1Mv|*7Z=|qCwKk$@$}^M)McSHgt_M>I+k<a
z8+K&E*vw4&+S=N5t?S)}`g$ww6uJ1Go*vXY>gZ5KMMjR-xL7ux{pq`R=gz`Jx#dKG
z7Dtgm-5Z$0?7Y0&c(}OmBh@d~)Cp<$qn9e^(VJISt;i`Tc-Yxv{QUgR=7WgrD&;jZ
z<8Ix$<<t>*ozFoFQ%6w|e`P3hh{Dk0<<G9zyv)p-u{T6*L~|<}r+x<&3ROLyQx0k|
zrYoPErZkKB{6Xxe{&A*;u`#{)$tqL)(#ih1;EUC7LZ|9FrgC!F3Gwk}GAs^{6B=v<
z{V#kxyuF#2nK5ET{$R()$G^9xzBs6AVh|FduBoXx+U>fzu(%iq3)y(O+NnhQ-gvns
z5yJTNVDl~Kvn%=r2Bo%R_uneA^k<0DFfVLw#@u<5YuxpUjy@tjp0plzP<LNnTfOJs
zFZNG$EA6PJr>8kRc8u|9`0;Nmzbl!rP-<;$<+L1pr(1;<z$_<uC*)vrDu@|bY(#|M
zKXoV|s{DPAgCne<;BI36LC&oT8#}svs+HOwmi@{1bOK9CIIC-G`9Ik+6pb-UAafKb
z_I{7{)zXoX1y4`wQ{rQ8Ojh7sTwGui5_UofS(u+kARJv?JK7_zmHM8#Y2PE?n6A0@
zBv1J&!pzL<eRVY@Iwt<ZxklgNs^>;_lV5Qj-`U%mq1kS_6svTYiG*2XWM##Uh=|bm
zy}Q3(aWQ4Z+iJ!=VOL&i(f{`4n4vd;!kc?7r`t`juyE?n52m^Y2P-Gs^?XY-EMYPp
zD=6&lj~Qtd{OY>t-@e!pB~jLU(TP;cbShHt?eu95KqIhu5}rD}_lpAIxV!l1?SRDt
zK|wSG;Z3pV8=_wGu++7y9T~oV|4vLshJnDw#xA)b;QITiw5+UYYcLMfFr)&7kFW2-
zuU{ek{fg`I{&17T#Kift<G++*J`Y$_GNNHzz8KVzms<=-dU#Y<7z8bh`4st>Oxcuw
zeu`-&BZGNgzgpGy-woE-*y!l)E^A`K2qjwWSE*K!enf#*u_m5{o;bRmD;bn8!NGm1
z*yS583;`^uaXR<Nzv$PHA{>{xNjAny(GzZ~bixK$SX+yL3W8`JOc#!ei+e_ptoA{s
zWpwnq%W}VjqGB{(K<6vEsIxO4W@hF9W^NuH5-O?)cD+h^QBgWIHMMG=V{RWGA7Uyh
z>jwO0ay|Pi0SO7$aPja855*nl5n^XMZLoOg1q3K2CMICOW#D;Plv0D0(}ftAncFS?
zeHRA@2W?n?vz{w-s7JFXr(#LK+1=e8FL@>vGv>fo`Kt4ki&Uq6xW&lZj*ARYZ*Fex
zc-W4-l=#sR5m`NE*%NllpVU6A{`@KB@9(di!X3h6IcT;rn2xHo@$Uql-$2_5yXp7o
zyMv_Um6_@3ai}Olf`U$yU#(#U=XIDogPoV2o-PQ>9}@$^ai-Q)gFLI)u))UOvN!S0
zJ7M>t0e*SsgN+GZ>X_+zPab*ai?ieUzk|YsoBB-#HRJy0nXl-CxfvM)Z>wZ{oz1Ik
z%oO#mM2h{;$ji0X|7t}NBf|vuUt3(1G%_+;uWK+H?f8$?Wm`I@X=GC;{qcU;ILGgt
zED5)UFJJB%Ry$@*US#^6eD1|bOHa3NNHp31J&I32P*~c~>waS>U0BP!Dc4%W@9Y5)
zozRbY+YuYvgpd0XbBQ+V-UhIyZ+mV|7BI=a+Sywh*{2Tb{Ncp&bNY27Z!kv6C;5t`
zEm7|S>AN`>v(q;#?y#~p@BZxCJ)OI}@w|Q)6N>rRm)P5rp$*=LflEw>v);u%qZK7(
zQ(>JvJUqJ_<wJ{Wd6{pBuSrfPvUrY_aRmkjzJBw@qBx8~@+-q1J~2t`nFRW4lB*dQ
zDa4Y8HU><>ZX4PPNKiO2n(W>9m~DdbQ!Xwpn`$a)E;);nT3;*OS?`v+v)hNX7(cMw
zrVg&oX}{$(xHsd|xaEz@K&^o6PNjO;mDu|8phzmb^2_erGp65UY3;KJ<tqVMS6*(5
zz4!a-A}{$>o}0;5=4m*ZF{W{mV>_Am7?ZT#EeT|FVrbXH2WXD!?c19MvBdUC7&<%=
z3d{7Y82X2c4P)2jX|1~AgRMX(rAEjoG8mU_(JNy1_9-x=2Emmc`x?}VtxvB$&~s;d
zAhmE<-1wNvg(3B=$mdiEO-`A>oq`3H%<@BHX@b)bVgZT3FH}~|WPfUtlbX2ihREvG
z(=$vysCo4zV&IG@oy|E8>uRj-mb$h!cBcJse(w8glDvWa-Kmru4EUe;+8<s$B;4ex
zysAK&J&-_eYmypDNoicP>4vVBWgTwalNxNbzLaBr&Ffx@gR*qS6@B}e*k+A#$u6SS
z#IsyohSUJK)$8(5C)W^41Z(rCPS9EBb%xaN8NXvWJ?VMkfYayW4LiwAmvaQCzl1A-
ziBE{r`U^{Y66ac2rFr6$-~7)r_rKANq-OukmyRaJY|hjjUcUBeyfgKq&h+|>7viCK
z*cV0bvG1v@ITx0DtHVZ9b%ewG5BSYZQ*&Ll9xLtb?ppU+xZ3mf`X46`iMp|Wyxub~
z5Rz*>g^+t4!7}_&Li00d&Vk`CR!sk)nQ548{||3A!Pl*vDHh}TcX^^5qps$~8Y%fb
z?SSxb>}YB}TouuMvcU{d+lF(LD&DGDQPtE$-iyryxe20|@Yk=gA{SwoWqk7c`r-Cd
zl?%-;(Y0%w&C5lKhzDAVB;F(>1SzHQPm~9<41-?#`0?Y9(+fDT+h*M7Vn8!7u(9D1
ziJx&cUS4?bt&b6be7lMuqo6Py&DTJ_x3&SrE2p9omTQd&sIGqSF(+r?mGIU>L&F=O
z3Wx8--jyz>vK-1-1#OAcvaw-1KRc6)hlAr8X!DrEzP`Q>xz_s*RqB3zVt3it@;8e=
zeVRZ1yJ9OkXi~~4F5Wb2@AmsgguJ}`ev$1`cU*L2WIl2bG@PJCKV`g`rY1Ss(}E9`
zr6r?zwI>SkFJHc#E;ElBIQ_w&!K|aH*;!V`oz|uGSYCbsN_h6BZzHbShfa(Xa2cki
zrfa`{Kh7b$>9xv0e*JnJGsqxHN=mus&!3+h9XUebW$uZ%cANYD{lUps6Lu)gT@4~3
z-ptEO=yZQw_QP;DA)Sz8OW;-H?MtJJKNJV6!$CK0+}QY@gLk++rxGvX`kQQKW~Rn#
z-^R<!>$@?h<I&DSz4Ncg0e=6}sX6sKk3esBc6B8%C$sByg0LOao!g)KPZitA#KV&S
z;)1yVOUK^yS%FHWLtl3{N^0pmecB$!B>TOk<>l7ame0=^fokg!mRa{XUnD=&VmCK_
z1AYB!r=K!jo}NyJTQmD7H43jIGz+;TFatoS_xJUgqNd{fyvA`sGJXkG1j-MrCv^UI
zE7|9Bjp>*{ExO+J4)|r0o!LcVqoZ@Zm%LZd(T|5^Z^ki?6&np@NrlCK9B9-+Qj(Ik
ze*DOs5*JaKRVwiYq{GZ%D;|eq_iKhPuxwzmK3P+9=vOzxVsqOVkHf*i0cZ0eEG&#q
z1O!>j?F^4V<{Hnx7GPd@#Kki^Iy&y%zrPG>h>D!N6V%D~iHVfHWR8^~@k>Re5f3>1
z*i<&)Sl71oT+IqQ`mVq+VV7VxuFw}8j8SPj_R6AsV)?v?h+7XeJNs+T4J0fIwv+g_
zrmBh!eT$hTSW;7GIGR>rL3r)|HlHEH#g%k$xQ~yC?zTC36;uNT7MAI+-XupyM+5?d
ztI1+}#CW5xFxWh|t?39bMpqCZJ5=@cqtVbY-@{<7PE~R6+fQQTka-<$#ef05saNIj
zXspP91SD>Idpq0y(aDMKr9Ch8Gwu|-$_Z825UlL%9Uw9<7sGD)pOHjSaA5YZo!ZBQ
z6pD@JHMxFPnZv@T{Pyh`ake~PUzHJWdq)(-Gyb%Nr6ml+1D_*Kuf5fmL0Cj4;CbW}
z6r@yDi4pYl^vzz=KR!Ppp`(kzxyI6L#cKkk5K(kBE;*S31Y4m>C45iz$B!6bQo42)
z+PFObm@O?Yn`};2yydecZ*6NU+@!{DvhX&4KW<Z=b#kzY2ZoH9g~g;joJ7Mxug3XS
zkzs=_JN-Y;c^!o1#9S?}`CN$AeYZ@Mu3YC+0EgQG0*DiC{Z7=IJR>6m8y_D7fl}~P
zR8&YuDn1)B@FQH7gS0R*+UQoG^SXzIWI>L}G4k+S1L-+lW{w9&o#guU5SaG1t}ZP2
z5ZOm$S31gq0I8i-Qu58~5*>?hzKuxyi__G=00B6@HsS61AUa{UW;^~iGj0Yku^Tk}
zcFitBqFS4~|2!{WWfQ?#9kIQ#DYDz^V56tITkhoec-WYelZ7ReB_YD1JmrH-Om=K6
z5o|$0^Io#ScY+D&!tNGO&g7i|a$q#y^gGIWTn7vIg^P<R?BKPfrFQF)+|v5`cjQqa
z3=9k}+}xHy|5FhYH@mJQHFS9L^`#hlz-&2gP1o>GG53Jb9<kze{<}QD+yey_bmR8d
zN|&FN|D`r8G8^TCRqO;sPxtg`<^{4s23B%~0i!yF4%4+lU8$fAFC877dMFna=i=vk
zPm*pwc5|!TSC0hS&cn<5wex^&&QrvFOF!v6HFx)D_ov8<Rn?$krGi4Gcx1D6IMm@A
zg3iG}eTuZ$D^QDXM$y06vS6FwmIRA#MH)_7D9p`@mXU9VnD5EX&scGXgRW~z3W18e
ze09Zfd@>dmEE&EBIwI$LBa{LT?;83@B*#-`<|^!>-@m7aQ)i+MpF#R=Rv#6}KmC6>
z(?5E__6;BRaYKk?_?sUeC2|u_BA1wyCUR$ei(R(~l-i!tma9zEy+KOf*-vV)C6@g0
zM4xmnT46EmU(vT<G)Mp2{=24-hX*|t0vB)CTJLLqiMx{I*GFaJbI~HxT+|O`5p@2?
zRm9m;a<BQANVyP-h<?s_wSQ$G2YXu2$HEr}j<Pq%rqLdvb;uCVY02g<A6LjpPPdxL
zAQh))b`b>Ch0bXKdY{o5H*^yIRf=l3T(~9rRRxl0TyA&e!ub^qb@_wV>Q;;NU*k3Z
z3Qbeg;yYrN&Tmb91zPSE2(XvVEkU@B`EKY7R!_srq(GNilbQ{@eET?nZzfyN*d_{O
zDa~zop7CoDdt9vVu;x|!Ry7~od7*PH_kN|Fx#U*^(6J_%A@Zsv`$ib-&B1R9<iaae
z0>6B|BT}U89Zlj$zvH3shFMw<b(e4bL*pN^uUM)cR)23nyI9}SN?})hLu{Xc(t?^V
zoiHL1WLg&t#)}oPcMO_}<q87MkYo(OV(lz0wszcAlXZj)liVqB|2Go+Z<lueE0g>$
zA0ThT0D%BO^bSF6wJnq?#TAVRm{PS^d7L^xl$Dj`oAzM=P8xpMI?2Pzu+UKDTEDOl
z4Qw?TEyj+24h}+NV`Cc>NC;l1r9~+u-xuUtF@3R)Bmjjla7-*ITUJ)4s;#YU?_Yq;
zjc{~v2`VlwZs;Q>PzBZrm-DTgdU$wrdop}+c5$(t=J<b?hz**5i*kqseuC-Ju5)95
z!>(tst*-k6Z~|0g%bA0non|Q_(O`gFQ?E2ehk&f@^xiEt?uowzfIwjM&3#L=bRpL=
zcN~Gj|A3)~=jrd>y?*!3Zbt0IDlt&N-S%rL4@Y<r4?!1_+_>>d{CrL2t*AFY&`D!n
zYLq+E-8L=NexKNC8Y>!l6_0$rgTko&qkIB<lFDbBTA9Gk`Y&@WbEgt0%v$LHwG;M1
zHnw$mnB>)~R}Vm*c1BYLrSMqtn<goJ0Ps?vSt#l0d8|~GvreV+>=}bxHfYgNhdR){
z_4W1dpSFqBtE#FZh=_<N@ill1M|kz?JxY<pg`Yk>R8u1ng6dPu&tcSvpV0H;{UjTm
z&<pIt8TXqg4$yS5U#xNR0FDjCH2#6w^fzxpL18fdOT5Be{q5}T$;95UpUD88#qTg3
zu2XKom!FGV(iG<CjJ+8vez6;i+=QC@42q?8smY_Hs0eWFxG0cxRo=|PqIGPns&nFX
zk6A0!#sY(AyY=eY&g@cCqnowwP)ApLM@P%h5D}bL9zbo?^!4!(a>~jwK$%D=DY3=H
z#YHa9{vrb86Ih<Xm}pF{PS^0jclsj`gf~RO0fT>l<*{>c(AgS-Ct-LR+@Jj@>Kiac
z3{1>y+p!`!C8ev5o4=yN!mwt&*4dAaj+&>YXqaT8OAI~r_0rsDTqywQ1c3Se*>E_E
zj<{#kNNd^|U5a%7>6X(=?7dOiRRYLcNF|a%Ds;Z6ZmZSk@<c1`kSA@R8VHvCY+glO
z(oobo0U*1aoSX;#7b1Qa$Ce;p7~v!|sB`O>ZSdYL_CLo1S^}U=CXA47r%U_-4%zER
z%W2QQ<*D2}TT}6uta6x{2Qbx>aQnlTjmfTc8{t8u_Biz^|4JW6lgRmqig;-wg7g0U
zSDv1pib_g3O-<tP<Z|(}4;<;M>?S0YM&1Il1=*0Bm*=vMEZqC^C%eatQJ&@Y?UA;&
zAQaYSV>1CDbNr`|qx|E?V6Y+PFjLiTo4Of7u8}YS_gGoq_n0ky&ruMx8|VB7MPmmH
z4-bPXw9wV12Cs6|f^~D;E`b?^wLyB?W&#ndHtC4et)io&JD#*H9`5Ul0$vPXmCt{F
zc6K&8HnzCZ9}aZTAw2Tm?f9=DOifH+lzbX@TJdPb{Y2od9-x-IF7f65<YoFTCL8&A
z*47M0K`B8I7{iK>xw*6PD~}#NL{Qw*ZXU@~`3qb7?CkFl6$wcTY~!?laXvl{&NFp&
zQk6_GC9onYV#mSEDe370h7Dd$C~L;$^ZRq2wxOXzgZ*&!qyFCB{QU=@Q*Afy+V%|%
z6(0)1ewgFBb<14OCEZ0JhwEQG?Y9s@@xZK`So7)A9iXB=cw=D9jUPY81)S0is`pJ&
z(r{Z_n^%1QTdp7#kzEXVl)~6MIIsW%7Znwyqp#l&YJ=zAy=b6PAIr;mk~xe9GyN}8
zKo<NSEnxN+eKzz?(6sPZR@jY21&#)@a;35p96btISy{H62OuE8?)B)N?%Uv%#n1?p
zfxKn*Cn%G>>6^&Wc*J;lwj%x)5OiK~F-NBF!GzbCROKLj-RNLcKmbBWSa@V$AO^_Z
z-rn9)I0@6+j11*JWAsy1&u_{*13BM2JS_g+336Z1YtL$(a(Q`K_qkr9kKlIA%8j(H
z32Hn&)44>6+`i;D2DL9FV5xkW0+-qi_Pxcp8DQ`H_IB+2yfKPt5)u+3iVE=*-#s9K
z+lO_Sv;fTH0``h{2+TAxDvHav8L_uHMFCZ-BUdTyeWK*{Y{Txw>9#2>)z!(0yC{J5
z_N{hK#=1D3)&Hf}wV_YaTxQ-^0^Y5?tIKq%^5nd057dwecpQy`fwx@f#SI74Z-8~9
z#Q*2dpFK`DtK!nrXI4)(HZ?^#p!$bGD+>Ji&p*HV#^KE|32C)|i2=t(Al?bOV79ch
zXgK^mJnVv5LPJ2OMiy#%VHMOf0@!E#vE_W^m7R@u)|^W(;RNAK8*p^4J?Ov-Bf1Gi
zQPgo~UgDm9H8HfbuyJv(ATTg6v}4nRT-mZeeBgT4ia{A8vu;ualLIySbxMl0Xx4qh
z`fwos@5KFYKwqb8sV5;0&ch1ZF%#q$9c&_^s!H#36Lx<c@zPNX(~#g`1cH%~ac3z(
z#bmiZg;MARYpwgX;W`&kh9l?(h2~{=^;%3NsnkYC<G%nmG0ZnPQs`yKD-CZ^>VJ8`
zcFNX;gNTfb1PEeb(2WAZ4o&B7sM(EzM#&WIX>K-XM3^stC1{BM%0tv2j9Li0Z%NC@
zgzhs_|Ia2u<!h;F7o)iNO;F}YcXLK2rcyA@AM^5<fReyUhcllDJ}gY;9ycjanxFhd
zHs()<>J;rj!w^~P`{DXs&E~N&3TQDDs;j`3DJw6JOG*kUZal$-5*+|Pp5b@0#@4m6
zyv!&pOala4PEiqcl79RA<hHH$@3?mquHN%6v3BMzFDNp7{@?`IZpUA&8(p@-$fD_c
zuQ<V=Ac_W-#4nCagF`|lM4+ht;5)E?EH(E3%ZsG_fA%7AXRhoYokatf^AuBBYg|?)
zp?pH=MHQ)mGy%Oanyvc3%C^D+4#Gl0ntH;=a3-v-u6Bd%OsKDv!E8POlOT51cJrcn
zW5aHpE6LVu>~d|ql!=Lv(c{lj57f<WWR;BD-3$seG&Fr6S%p8<M}&UBa$kenKppV%
z@Yo^pKSCd{;Cb@o$=dRACy+7}oRRqu7b|wc%1$0N@Y4=FNa^K}|AmV!$AQtMRQ{Uu
zB@pI(d}W{~d`e96;6GDA<ndK%9TSegYvgZ?@y2w;-dq8(@MZIdmc4zv8BE}Sg-g(+
zt&;AO*9IzsQMJ&s{X6x%$=uK|!_^2F3ls;H`2PO>rC)u?>#npqho}=S)G9#&Nql^K
zeD=GbcpT0{zq8%0OWR#h1cH<Xl?50$(XNU_QkxMltaKC?5tSkHl^Sd(D50t8aWG-I
zyEmd@3eC5J`?6n2oej@=XJ#5E>!!T2`rO%Rn4lpAyYt|_)K_l!e{AqqD3mD;eO8Hj
z7BVcsR(1bLSQ|9UWi-{*1Hr3L*5MB$*q!*il$zR9r)zCax5_k0%u;hxfSKE#r@K~>
zlCsJOR~M*zC#xGRFWZUSy;~rdRuyGZ+xn^B@nJ}Vf;CU-1<hc)Qk2pnOO9jO_mZU<
z>|4)2SCH_C{W3@mtwEge2N#@f7^vudXR|QNW>acYH*a=-ypUCG<|j{Z`CKaaq;=Lc
zqBCM<fD2*xgEtxt@hEt*<|DtXg<0WKeeNpjb`0WFb;p3#XExeDe$s4s?Q3Wp<|Tv}
zC`~>NJJ{rkYmY+s;a%lHlYMmNEmckZZ2M%A8mCOtMuzlMgY`^n_=G1PVI0sZNPIb>
z+?F~T_j}pjHpohSi1~X?dw^_W>s<`5JCf+e=U474wXGh>?dQ-bz|!s3EghdZqr_c6
zykk35d-)hW%Mq=4ozSAb&f%TkER|J(g<t2v_3LjjjnNP)`gLE|PF9j1p&1nuX)$f8
z8R^}YKt^`3{BfXs{c6%*`MN5rI<=<Sg1<m;K_9zLCc@;hBg3&d0V9JSasO-S*1hu5
zWhMz^ZwHH$09j{1(_pW|M+6??+RITwi+k}@x_`Y{;_l~Q*5l2qA*fYPhp@P5Y~7sA
z{qN@8skgb?jtB@~dg=CKo{<5`ttp%DOlq_^>C(MCgcZPao&4)VovM2<9{0r*eWgr@
ziUw+JWUQDqpGQBWIS+YRIMRt-f!3_3f0{c(edlVF`jNBL+sQHKq!};f?!9MdHhSI+
zysUQ9l&{1kKl2|wS}mLkb*#A2yfK*_9nADHS?}v7z1J8igm%%YM(A=H0{y+%s#K~=
zW}OA3CI_aUnjKj6Yn++_`#W_bF;bMzoDIJ3mzUw@?6{NaSlr(5JiGS$uY2{{bidib
zDDCSj^NE=C68r1Z8_5+4DKQlY9PV`Oo4E(9A?Wm9jSQ6?wl4Tg5}7&?oPvT3u9FTY
zQ+0!SJ<%$jT31Vn9(HOF9Cn5kh*JezZ?4FUgRgvrk@Ct4xA<Yp`+z3bOX?9LUk&T^
z?I#rP$U0d=7_mYcoO(7i+!YorI&QhV&RuZH*%9p{Ng@7>i)QTmHWiCt8-CLIkFvQ!
z+<Ny5ixY=IcDB|_yC_YKM)c(f=@Ux)Bie^pLX0nd`m(ht->UR1&E&?QCPnkn&<+o)
zdQ?!x=1xDl$E<ky%Rp)P3Ul}5>)V&|DhcRfA%Vp~q26PU@-0p^?5py}&0b;bsvu6;
z^f`AMR9#1B`EYQ`_$_sDg(-V?KVK0-t9F;F7Bb&Xos6uWp;Zb|d0#TsLc_I=SzvLl
zF0bZaCWGv(r^v_UrHH=jc%%8^Ht8{q_t+2e_Du`s>uy0umhP4!Yz)X+xz`mE+adW^
zu&|;-TB(B2ye*hZGaGEbm%{^mXeC6X)%gd#)soWK%q$~zV~{|~6xJCTIC0X`J`Bb5
zAxZ1MI4F{jU5r1*4yRM~C_Y6ylW6==<{Hme#=li+Rx5bzl6i-w@XBGsVZcc-+%{^h
zCt9uD8$;6`zfJ#mPkQ|p4_q0<sbQjilz!!v;Dh<7>KXhpcO@_4<o=Y%ag6zxn1$ae
zq$Y)F7!&OCaN(kH=eFEgGOl-?e{ah{(PzFWh2;chBtpB9LH~SWc0asU{`CwaGUiFn
zEAr?k4{N{gOhnJnnrx@)ei&ySWZESRPrlW@Cxz^G;7X|czPj+z01=A7o+2)4tZ-K<
zd}K#zgebvi-XK`8NorUp*}u(Grq^F-rGZp#dq8}O=0ly_orU_=w;An^5N}xLsc^W?
z<ESRsZGa4Udl=IMs4+A89S@f45q(~a-xbHmU?8dDl5DWtj+buhiQXWuVAoB-#pA+x
z7^!}A&p|+TsxFsYHouzr3*$~SW3GJoT5^B4gA+Vijjy*I1J|48>X-$#j#<8nV0pc@
z`GuFRh+H<4-V^MKwpqT2PH1x`sr*(#+<1!n6B+hd6rN1*pAvXuTyCC(beM+eM;A=c
zG%XG{+I;fuD&g6@Rw<0m=lEKg@WsnJeUtNZ2x-<3tg*1qLmLJO)t;ngt-q5~bn4aL
zVjKJDdB<Opn)qWmHmQf(tn&=%ML_p<@g&(m_3c*%MPC@y)Yg8L@uF4|;Vfbwg(ih5
z8Tr={Hhw87g;+bR5%OL}QYXKH{?;MzF^KO|pjC;Inq^yjj8y8JLYQRjbcb^8$2BO}
zM5knyHsoB1KzPxFpN`3X`T$SN3rR6GVf7Bb$f}3!ac}FnBsagh%M)<1htSdX#$mj_
zO|~^hoZDFLu9WR5_ZnxaXrTXsqWLBnmk!66UI)uCo-{Yv85=(3-&t+f?=Vu!Oj-wc
zQ;CbAoFWP#P3q6q_slxS>ps@D`znj)lu+P`5mHOuYM&H?e!@x37EeUv+e$G>`$~6t
zzLb>q!RyT{2->7ju5~7jHx0I=11fN6`6Vu%IP&SC6+c;MSd;gep1n0=wQRYehPH9r
z_&r({sYw+f4)-wqdfTW1;tiXzsU5ff^KCD-j$7qgkFFkEVa*PWqv^`e+%!nA5`<xC
zffMm6h9NqMxM)QAhQZL@3_eDQ5!$hZ>@>yA&(5gJbl@^I{?LNt>!osN+wEJ+mlaxc
zD$IWb9y2^*@?&wl%su^a%X^e@Ll#Ks<O%jZTL4AYj;0-Hro&oStkTj9CVC@=BknKC
zat3_^hc#;Hb$SUFhu%=feW3tx^rN}89-rKt8}280wD{;^SUc%ac#HzCv>vhVk7w`4
z(O(m=m#Wsq4DpQAzMj@D&VTq*X>MTQaT|r|1J#AVaCb=!Cl~QttC=OCGEEbJ70(cp
zQ+2P>)VMZMSVuq4VTAb?`@Eu1UJ~dsrNmdxUv%$F9)9{RXvj#<yd+UK^{10=cM>$M
z1SV!5eZ5L*R@nYUr`+!cZ((f1dbPET%KI-m+#6a&n=k(`2I&43Q|95J#J@fEMaLzq
zVciOkcGDoB#2H0LYG16GKp+wC=y)a5X`%HhmiO4OW;Zn|2=Jd`=l>BybUqFt`~^J;
z051?-3IqkCHdSfg2EGxcwbvV6Rt6W=i<>$P+-E|Bx2n-^`tFe^vLx&uK-UjCAdu=r
zL;5n8LQ9p+zOJSw3sft_{ERr(CoAn~Bqb$(yUHs9M4+Xkb3$2dMT$pEJ<*C`5L9uR
zZ$|S@b{aAC-PeG$3ekS!C3GhtdRT1a;IuU@SPz<*_3mA%OtG<|TeINdoSmJGIrW7r
zR5C;&1m=9M=~ddH$s@)BH=;NiA38a4LF93MX(<>o9QBZC1J`Gi)YUgoI45ug$Q~|q
zL-x0#taQ1VMrt6g6UZDbV_Go<Vb5<x2EwePB}9&iZ{D<8@oEacVg~0lzp$Y8(<wD~
z0qnXJw3ZqsA-MLk<9oFVrAFxZdx@Z()eo_n*6xtBqvW@H>w4Os!lPaL;tr}K)e?lI
zcSv+otiBiDZXlKK=&<QB1{#&fI>Lk=3`@%unSBXfIylVpKYeNjSG==XHP>oV`VVEg
zrXqp{{ZLwAH+=ug(>W9u3u*}fyRDeYivwKiQJvf7&bVnTS~a-{NBz!~T*Z_?FjlBe
z4#aj)CLK~h;89~fePU(J*#TvL?egNV38JI85MTscfez6U8EC(ea~MWr-Si=bZWvc@
zZ!a-1ae!rpCuUJmQAK5q$F2$4_3I1i?z50Y!Ve{&2~`n4Cj)cYwlPtT_I?tD$Y{Wo
zg5O=Iy$db87u&ORMt;ZUN%RHQim1#<@vgY@5;p(y*=Vr6dm9tis%G5ul9KDQ&E;RO
zJ(ZWoNmTbZ-ye&EwmTp+dO<-d$TS_nkP<@|N+Jkz;Xksi#I&^0Fq}*b3}`6RLQ6~Q
zxY&*Z$vS*WP6XItkM+VTPLp<QFnL+POHm;jFx}r^?tOMUC_FYR#^yIRqM?%sBf8NH
zi93XT+I8SwxIhmdDJv7A;2^D_GX?-btwMW1g2b@kJHA?ve1jAK;vr0YLH`$rY0Lmf
zj`@J=K%kJ}n0Gz2W_LHMH2hmUz}}!j0amG@@7~d(*us$Lp?<o3%76tb=XW%-?H2~Y
zt_5h;hsVYy)0Z>pFpZRg6|1hPVSxPuO~p=d(+^3ZBTdO`MGVly3G!(VgoGG@6$5yI
z_-ZrsbP)(Fq8shdqlT7bFffERlTu@tPI?>x0Rem}ZVcdySL9(_Hs+dcLPwWU*zI11
z|HUy|g$V2|M<*wVp$t(Hm}Gd!G<)PnVBFQ07pJx}m;nGQArXcFEC(8a3JqQPFf>Tl
z^2bTG7LV@$%6KhpV`GzUpZ>t<3b<-1503}YGEAX_bde4-wWD?9!+T~jxlaHsfBM7y
z2|(2mtU2@?GE_PbmKsDC;WC}fW@Tk%)a#+(Ei?|V!Q-|@Q}G}WfLmBOIJ$t|=8Gsp
z8g_ntJqlWUI+iBT3Y2;J^l6g&YLStEi?efJhe_##h3O+18AiYi(9+dz@Zvi;+>V9i
zGU_=Uf=2;l%E){UN>~1uID>i*lH&S5xDcfL23}QnO33fbBgtI??Y&m9A;EgMl{%@J
zkcPH)IK+w{JkUSA5&{$7($|Lv_VVcHXYB4`6o;-Q4oAaY{C+hGcj;9P3SGlP^;WCv
z>e`?O3Zcf*#&;0c075TVq+b&V#Mcx66)PKCEAZ*K*RKQM551{|i(AIO6uUIjVl=4e
z&rc7#ATL(}?e}TF)6Jc|y)XNeQ5}KLo6gCh6Hqx(Syv|<V4GYuj>`>oU}<UT=|nOh
zBszuRKTA0|%GRl&Kme~GUIQ+X3L|_5-v^;tQpk{78WcmCmH5w}KVKG{yXf4TdwOu7
zl1n){mhc(-{Y{&D|Me@`oZl(C+#)~%)Yw5{67n57s6-|!)He8H7|rMQL;r*cgM!e(
z``a}5qX1B4YUOiYr$uRabJMm^0*&8y*x4URNTB`s``77Y&l&~KA%TGn898Sk=sV!z
z;zCy<V7u{@5K2}EFnFkn_6?|}3$%gseyLnuoI72ddD4n_5Hs%r*Mss^KDbLf047)H
z7o=sO?~4Y0oeJu(BWx#QNQ|gHeg-S}=x^pFzNMulYV0VvOfXO#0eVhOVpx97qKDH#
zOG{=V$4d#w10lDKaEO!ArU^Xn1SY8l6AhC%?SFaBNr^A__;D+gf^QYJT2S*B0d5B;
zBqR(_+gIQqf-ngreSAb9d=MBE<g~Y{Ml0q+DHV#37GN_a;Oyqs2^4zwWW5;Gjt-BG
z#&Fz}ME2qt`uhHpjuqKyMjySOpk3vVzCQ;gkLK+B99r-1*vcU+5o{A%XEn?yax@<V
z7to1_h@g%u@2#4yW$p0gTXV!ykNZ>k*1u+E&TSGHhy%0;2nq_?H&@Gn9ob^Vt6RJV
zpFM=+OID&Jz-TyupW3(FK=k(YK^;XWB8p|>7?WFsh6n)5Rb-)FP!X#0j6n7YI_QUw
z1!ZS5l97{V!#XD@x=iNK?AI>0P<l9XNbVX(l`=S5`R3>5ropBkv@^PUdRpKt=CuC)
zkvg`(XJuFB@n;z$Lsh*rgiXDNCdc&5Ou;!8<A#*~B|)T29Yj$p?Ir@heN)A_dUc|X
zmLWA7q&x#;Iokj;ZyJOWD=Az2FX1k;m@n6RAcvr%15}2Xef|XRWd|yFcZ*kPN&})>
v27w#MtVAJHCXx8x-_Ah&iiUmLCDuohw%>9i7TEAhBnbIO%F;!W#)1C>2=Yy5

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_network-members.html b/docs/manual/classbayesnet_1_1_network-members.html
new file mode 100644
index 0000000..7f66917
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_network-members.html
@@ -0,0 +1,146 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_network.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::Network Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addEdge</b>(const std::string &amp;, const std::string &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>addNode</b>(const std::string &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;input_data, const std::vector&lt; int &gt; &amp;labels, const std::vector&lt; double &gt; &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(const torch::Tensor &amp;samples, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassName</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getEdges</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getFeatures</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getMaxThreads</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumEdges</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getSamples</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStates</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title) const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>initialize</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Network</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Network</b>(float) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Network</b>(const Network &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(const torch::Tensor &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(const torch::Tensor &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_tensor</b>(const torch::Tensor &amp;samples, const bool proba) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;, const std::vector&lt; int &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_sort</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Network</b>()=default (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_network.html b/docs/manual/classbayesnet_1_1_network.html
new file mode 100644
index 0000000..252deae
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_network.html
@@ -0,0 +1,840 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::Network Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_network.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classbayesnet_1_1_network-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::Network Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a315f22b9268787687e9f860a2cc81b59" id="r_a315f22b9268787687e9f860a2cc81b59"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a315f22b9268787687e9f860a2cc81b59">Network</a> (float)</td></tr>
+<tr class="separator:a315f22b9268787687e9f860a2cc81b59"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a40600ca866444d501519a7a4376b1b74" id="r_a40600ca866444d501519a7a4376b1b74"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a40600ca866444d501519a7a4376b1b74">Network</a> (const <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;)</td></tr>
+<tr class="separator:a40600ca866444d501519a7a4376b1b74"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae8ec752b379cd4fdefac23a967d2e79e" id="r_ae8ec752b379cd4fdefac23a967d2e79e"><td class="memItemLeft" align="right" valign="top">torch::Tensor &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae8ec752b379cd4fdefac23a967d2e79e">getSamples</a> ()</td></tr>
+<tr class="separator:ae8ec752b379cd4fdefac23a967d2e79e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6a18e54ae22002baeaca68c67ec260cf" id="r_a6a18e54ae22002baeaca68c67ec260cf"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6a18e54ae22002baeaca68c67ec260cf">getMaxThreads</a> () const</td></tr>
+<tr class="separator:a6a18e54ae22002baeaca68c67ec260cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab2e2be4aac2615cd864729332d8df40b" id="r_ab2e2be4aac2615cd864729332d8df40b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab2e2be4aac2615cd864729332d8df40b">addNode</a> (const std::string &amp;)</td></tr>
+<tr class="separator:ab2e2be4aac2615cd864729332d8df40b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae70b10f45c8e19104bcd056de8590aa4" id="r_ae70b10f45c8e19104bcd056de8590aa4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae70b10f45c8e19104bcd056de8590aa4">addEdge</a> (const std::string &amp;, const std::string &amp;)</td></tr>
+<tr class="separator:ae70b10f45c8e19104bcd056de8590aa4"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a82cc34f52fce3fd342b4b35b7e67e92a" id="r_a82cc34f52fce3fd342b4b35b7e67e92a"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> &gt; &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a82cc34f52fce3fd342b4b35b7e67e92a">getNodes</a> ()</td></tr>
+<tr class="separator:a82cc34f52fce3fd342b4b35b7e67e92a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a530c03d266dd20edb984677edba90106" id="r_a530c03d266dd20edb984677edba90106"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a530c03d266dd20edb984677edba90106">getFeatures</a> () const</td></tr>
+<tr class="separator:a530c03d266dd20edb984677edba90106"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0fcfb559c4a64fa8ee14dafc08e919fa" id="r_a0fcfb559c4a64fa8ee14dafc08e919fa"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0fcfb559c4a64fa8ee14dafc08e919fa">getStates</a> () const</td></tr>
+<tr class="separator:a0fcfb559c4a64fa8ee14dafc08e919fa"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae4fc0546af1210204229475bd30a5852" id="r_ae4fc0546af1210204229475bd30a5852"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::pair&lt; std::string, std::string &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae4fc0546af1210204229475bd30a5852">getEdges</a> () const</td></tr>
+<tr class="separator:ae4fc0546af1210204229475bd30a5852"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af3b902f7d2aae117bc8602ded309937d" id="r_af3b902f7d2aae117bc8602ded309937d"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af3b902f7d2aae117bc8602ded309937d">getNumEdges</a> () const</td></tr>
+<tr class="separator:af3b902f7d2aae117bc8602ded309937d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a71caea178a8182767dcd1aefa0f5b554" id="r_a71caea178a8182767dcd1aefa0f5b554"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a71caea178a8182767dcd1aefa0f5b554">getClassNumStates</a> () const</td></tr>
+<tr class="separator:a71caea178a8182767dcd1aefa0f5b554"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7cf7986b48e9a650b46a2d6366bd184f" id="r_a7cf7986b48e9a650b46a2d6366bd184f"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7cf7986b48e9a650b46a2d6366bd184f">getClassName</a> () const</td></tr>
+<tr class="separator:a7cf7986b48e9a650b46a2d6366bd184f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a950bb9301c09f773af31a113a6166947" id="r_a950bb9301c09f773af31a113a6166947"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a950bb9301c09f773af31a113a6166947">fit</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;input_data, const std::vector&lt; int &gt; &amp;labels, const std::vector&lt; double &gt; &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
+<tr class="separator:a950bb9301c09f773af31a113a6166947"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a32ffb793d0bfc68c804a4bc5c30bb1e4" id="r_a32ffb793d0bfc68c804a4bc5c30bb1e4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a32ffb793d0bfc68c804a4bc5c30bb1e4">fit</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
+<tr class="separator:a32ffb793d0bfc68c804a4bc5c30bb1e4"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:acf7176d52ef6698f6b7a3d45e98c28b1" id="r_acf7176d52ef6698f6b7a3d45e98c28b1"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#acf7176d52ef6698f6b7a3d45e98c28b1">fit</a> (const torch::Tensor &amp;samples, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
+<tr class="separator:acf7176d52ef6698f6b7a3d45e98c28b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a16e03b6ac36f9fee9f798e77f51f610e" id="r_a16e03b6ac36f9fee9f798e77f51f610e"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a16e03b6ac36f9fee9f798e77f51f610e">predict</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;)</td></tr>
+<tr class="separator:a16e03b6ac36f9fee9f798e77f51f610e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a234788045f5c33ad6806a9176993f98c" id="r_a234788045f5c33ad6806a9176993f98c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a234788045f5c33ad6806a9176993f98c">predict</a> (const torch::Tensor &amp;)</td></tr>
+<tr class="separator:a234788045f5c33ad6806a9176993f98c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad960b15f71c6b5a3bc87f80c9e1ff22a" id="r_ad960b15f71c6b5a3bc87f80c9e1ff22a"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad960b15f71c6b5a3bc87f80c9e1ff22a">predict_tensor</a> (const torch::Tensor &amp;samples, const bool proba)</td></tr>
+<tr class="separator:ad960b15f71c6b5a3bc87f80c9e1ff22a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2dbbcf65d7ab9054b696b01f13e5cc7e" id="r_a2dbbcf65d7ab9054b696b01f13e5cc7e"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2dbbcf65d7ab9054b696b01f13e5cc7e">predict_proba</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;)</td></tr>
+<tr class="separator:a2dbbcf65d7ab9054b696b01f13e5cc7e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4881a2ae57b31b0fff036dca3ad54af1" id="r_a4881a2ae57b31b0fff036dca3ad54af1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4881a2ae57b31b0fff036dca3ad54af1">predict_proba</a> (const torch::Tensor &amp;)</td></tr>
+<tr class="separator:a4881a2ae57b31b0fff036dca3ad54af1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad75240a4f32aa87d20b1b7417d5c06a1" id="r_ad75240a4f32aa87d20b1b7417d5c06a1"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad75240a4f32aa87d20b1b7417d5c06a1">score</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;, const std::vector&lt; int &gt; &amp;)</td></tr>
+<tr class="separator:ad75240a4f32aa87d20b1b7417d5c06a1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a379d84656a39a7dbffa119927522d0c7" id="r_a379d84656a39a7dbffa119927522d0c7"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a379d84656a39a7dbffa119927522d0c7">topological_sort</a> ()</td></tr>
+<tr class="separator:a379d84656a39a7dbffa119927522d0c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:afc1b2f22c24be01259d9aed08f2343af" id="r_afc1b2f22c24be01259d9aed08f2343af"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#afc1b2f22c24be01259d9aed08f2343af">show</a> () const</td></tr>
+<tr class="separator:afc1b2f22c24be01259d9aed08f2343af"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a87caec5bf05a768023898248767ab45f" id="r_a87caec5bf05a768023898248767ab45f"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a87caec5bf05a768023898248767ab45f">graph</a> (const std::string &amp;title) const</td></tr>
+<tr class="separator:a87caec5bf05a768023898248767ab45f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a942e3731047476632640787856cca461" id="r_a942e3731047476632640787856cca461"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a942e3731047476632640787856cca461">initialize</a> ()</td></tr>
+<tr class="separator:a942e3731047476632640787856cca461"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a86f01a06e17b2222aed4bd99e84b761e" id="r_a86f01a06e17b2222aed4bd99e84b761e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a86f01a06e17b2222aed4bd99e84b761e">dump_cpt</a> () const</td></tr>
+<tr class="separator:a86f01a06e17b2222aed4bd99e84b761e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1e01554914b8bbf8569dacd449daf6b0" id="r_a1e01554914b8bbf8569dacd449daf6b0"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1e01554914b8bbf8569dacd449daf6b0">version</a> ()</td></tr>
+<tr class="separator:a1e01554914b8bbf8569dacd449daf6b0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_network_8h_source.html#l00015">15</a> of file <a class="el" href="_network_8h_source.html">Network.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a2b5c1390c93cc55353659c32acc23eb8" name="a2b5c1390c93cc55353659c32acc23eb8"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2b5c1390c93cc55353659c32acc23eb8">&#9670;&#160;</a></span>Network() <span class="overload">[1/3]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Network::Network </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00013">13</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a315f22b9268787687e9f860a2cc81b59" name="a315f22b9268787687e9f860a2cc81b59"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a315f22b9268787687e9f860a2cc81b59">&#9670;&#160;</a></span>Network() <span class="overload">[2/3]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Network::Network </td>
+          <td>(</td>
+          <td class="paramtype">float</td>          <td class="paramname"><span class="paramname"><em>maxT</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00016">16</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a40600ca866444d501519a7a4376b1b74" name="a40600ca866444d501519a7a4376b1b74"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a40600ca866444d501519a7a4376b1b74">&#9670;&#160;</a></span>Network() <span class="overload">[3/3]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Network::Network </td>
+          <td>(</td>
+          <td class="paramtype">const <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;</td>          <td class="paramname"><span class="paramname"><em>other</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00020">20</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="ae70b10f45c8e19104bcd056de8590aa4" name="ae70b10f45c8e19104bcd056de8590aa4"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae70b10f45c8e19104bcd056de8590aa4">&#9670;&#160;</a></span>addEdge()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Network::addEdge </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>parent</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>child</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00095">95</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="ab2e2be4aac2615cd864729332d8df40b" name="ab2e2be4aac2615cd864729332d8df40b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab2e2be4aac2615cd864729332d8df40b">&#9670;&#160;</a></span>addNode()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Network::addNode </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00046">46</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a86f01a06e17b2222aed4bd99e84b761e" name="a86f01a06e17b2222aed4bd99e84b761e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a86f01a06e17b2222aed4bd99e84b761e">&#9670;&#160;</a></span>dump_cpt()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Network::dump_cpt </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00420">420</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a950bb9301c09f773af31a113a6166947" name="a950bb9301c09f773af31a113a6166947"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a950bb9301c09f773af31a113a6166947">&#9670;&#160;</a></span>fit() <span class="overload">[1/3]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Network::fit </td>
+          <td>(</td>
+          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>input_data</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>labels</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; double &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>featureNames</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00177">177</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="acf7176d52ef6698f6b7a3d45e98c28b1" name="acf7176d52ef6698f6b7a3d45e98c28b1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#acf7176d52ef6698f6b7a3d45e98c28b1">&#9670;&#160;</a></span>fit() <span class="overload">[2/3]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Network::fit </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>featureNames</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00169">169</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a32ffb793d0bfc68c804a4bc5c30bb1e4" name="a32ffb793d0bfc68c804a4bc5c30bb1e4"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a32ffb793d0bfc68c804a4bc5c30bb1e4">&#9670;&#160;</a></span>fit() <span class="overload">[3/3]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Network::fit </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>featureNames</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00158">158</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a7cf7986b48e9a650b46a2d6366bd184f" name="a7cf7986b48e9a650b46a2d6366bd184f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a7cf7986b48e9a650b46a2d6366bd184f">&#9670;&#160;</a></span>getClassName()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Network::getClassName </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00075">75</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a71caea178a8182767dcd1aefa0f5b554" name="a71caea178a8182767dcd1aefa0f5b554"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a71caea178a8182767dcd1aefa0f5b554">&#9670;&#160;</a></span>getClassNumStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Network::getClassNumStates </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00063">63</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="ae4fc0546af1210204229475bd30a5852" name="ae4fc0546af1210204229475bd30a5852"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae4fc0546af1210204229475bd30a5852">&#9670;&#160;</a></span>getEdges()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::pair&lt; std::string, std::string &gt; &gt; bayesnet::Network::getEdges </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00371">371</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a530c03d266dd20edb984677edba90106" name="a530c03d266dd20edb984677edba90106"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a530c03d266dd20edb984677edba90106">&#9670;&#160;</a></span>getFeatures()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::getFeatures </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00059">59</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6a18e54ae22002baeaca68c67ec260cf" name="a6a18e54ae22002baeaca68c67ec260cf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6a18e54ae22002baeaca68c67ec260cf">&#9670;&#160;</a></span>getMaxThreads()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">float bayesnet::Network::getMaxThreads </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00038">38</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a82cc34f52fce3fd342b4b35b7e67e92a" name="a82cc34f52fce3fd342b4b35b7e67e92a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a82cc34f52fce3fd342b4b35b7e67e92a">&#9670;&#160;</a></span>getNodes()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::map&lt; std::string, std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> &gt; &gt; &amp; bayesnet::Network::getNodes </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00116">116</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="af3b902f7d2aae117bc8602ded309937d" name="af3b902f7d2aae117bc8602ded309937d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af3b902f7d2aae117bc8602ded309937d">&#9670;&#160;</a></span>getNumEdges()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Network::getNumEdges </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00383">383</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="ae8ec752b379cd4fdefac23a967d2e79e" name="ae8ec752b379cd4fdefac23a967d2e79e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae8ec752b379cd4fdefac23a967d2e79e">&#9670;&#160;</a></span>getSamples()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor &amp; bayesnet::Network::getSamples </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00042">42</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a0fcfb559c4a64fa8ee14dafc08e919fa" name="a0fcfb559c4a64fa8ee14dafc08e919fa"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a0fcfb559c4a64fa8ee14dafc08e919fa">&#9670;&#160;</a></span>getStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Network::getStates </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00067">67</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a87caec5bf05a768023898248767ab45f" name="a87caec5bf05a768023898248767ab45f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a87caec5bf05a768023898248767ab45f">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00357">357</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a942e3731047476632640787856cca461" name="a942e3731047476632640787856cca461"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a942e3731047476632640787856cca461">&#9670;&#160;</a></span>initialize()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Network::initialize </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00029">29</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a16e03b6ac36f9fee9f798e77f51f610e" name="a16e03b6ac36f9fee9f798e77f51f610e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a16e03b6ac36f9fee9f798e77f51f610e">&#9670;&#160;</a></span>predict() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; int &gt; bayesnet::Network::predict </td>
+          <td>(</td>
+          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>tsamples</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00237">237</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a234788045f5c33ad6806a9176993f98c" name="a234788045f5c33ad6806a9176993f98c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a234788045f5c33ad6806a9176993f98c">&#9670;&#160;</a></span>predict() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Network::predict </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00230">230</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a2dbbcf65d7ab9054b696b01f13e5cc7e" name="a2dbbcf65d7ab9054b696b01f13e5cc7e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2dbbcf65d7ab9054b696b01f13e5cc7e">&#9670;&#160;</a></span>predict_proba() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Network::predict_proba </td>
+          <td>(</td>
+          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>tsamples</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00259">259</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a4881a2ae57b31b0fff036dca3ad54af1" name="a4881a2ae57b31b0fff036dca3ad54af1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4881a2ae57b31b0fff036dca3ad54af1">&#9670;&#160;</a></span>predict_proba() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Network::predict_proba </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00224">224</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad960b15f71c6b5a3bc87f80c9e1ff22a" name="ad960b15f71c6b5a3bc87f80c9e1ff22a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad960b15f71c6b5a3bc87f80c9e1ff22a">&#9670;&#160;</a></span>predict_tensor()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Network::predict_tensor </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const bool</td>          <td class="paramname"><span class="paramname"><em>proba</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00205">205</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad75240a4f32aa87d20b1b7417d5c06a1" name="ad75240a4f32aa87d20b1b7417d5c06a1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad75240a4f32aa87d20b1b7417d5c06a1">&#9670;&#160;</a></span>score()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">double bayesnet::Network::score </td>
+          <td>(</td>
+          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>tsamples</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>labels</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00275">275</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="afc1b2f22c24be01259d9aed08f2343af" name="afc1b2f22c24be01259d9aed08f2343af"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#afc1b2f22c24be01259d9aed08f2343af">&#9670;&#160;</a></span>show()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::show </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00344">344</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a379d84656a39a7dbffa119927522d0c7" name="a379d84656a39a7dbffa119927522d0c7"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a379d84656a39a7dbffa119927522d0c7">&#9670;&#160;</a></span>topological_sort()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::topological_sort </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00387">387</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
+
+</div>
+</div>
+<a id="a1e01554914b8bbf8569dacd449daf6b0" name="a1e01554914b8bbf8569dacd449daf6b0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1e01554914b8bbf8569dacd449daf6b0">&#9670;&#160;</a></span>version()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Network::version </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_network_8h_source.html#l00049">49</a> of file <a class="el" href="_network_8h_source.html">Network.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_network_8h_source.html">Network.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_network_8cc_source.html">Network.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_network.html">Network</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_node-members.html b/docs/manual/classbayesnet_1_1_node-members.html
new file mode 100644
index 0000000..e8f9f24
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_node-members.html
@@ -0,0 +1,132 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_node.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::Node Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addChild</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>addParent</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>clear</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>computeCPT</b>(const torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const double laplaceSmoothing, const torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getChildren</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getCPT</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getFactorValue</b>(std::map&lt; std::string, int &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getName</b>() const (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumStates</b>() const (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getParents</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;clasName) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>minFill</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Node</b>(const std::string &amp;) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>removeChild</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>removeParent</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setNumStates</b>(int) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_node.html b/docs/manual/classbayesnet_1_1_node.html
new file mode 100644
index 0000000..2b9c143
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_node.html
@@ -0,0 +1,488 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::Node Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_node.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classbayesnet_1_1_node-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::Node Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a6a4e5b42954ba503102c48806407ab1d" id="r_a6a4e5b42954ba503102c48806407ab1d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6a4e5b42954ba503102c48806407ab1d">Node</a> (const std::string &amp;)</td></tr>
+<tr class="separator:a6a4e5b42954ba503102c48806407ab1d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab3fe743739b7ae1f24ad02af7e4baf61" id="r_ab3fe743739b7ae1f24ad02af7e4baf61"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab3fe743739b7ae1f24ad02af7e4baf61">clear</a> ()</td></tr>
+<tr class="separator:ab3fe743739b7ae1f24ad02af7e4baf61"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a07235101e26b94b219cefb1e8499fa85" id="r_a07235101e26b94b219cefb1e8499fa85"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a07235101e26b94b219cefb1e8499fa85">addParent</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
+<tr class="separator:a07235101e26b94b219cefb1e8499fa85"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0a6ce3306c7540ee96d52e7dfcf1a46c" id="r_a0a6ce3306c7540ee96d52e7dfcf1a46c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0a6ce3306c7540ee96d52e7dfcf1a46c">addChild</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
+<tr class="separator:a0a6ce3306c7540ee96d52e7dfcf1a46c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:acd8dd14ad300bf536081cda3574c9f42" id="r_acd8dd14ad300bf536081cda3574c9f42"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#acd8dd14ad300bf536081cda3574c9f42">removeParent</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
+<tr class="separator:acd8dd14ad300bf536081cda3574c9f42"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a768256c823f4f59f5fbf828a3b406fc7" id="r_a768256c823f4f59f5fbf828a3b406fc7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a768256c823f4f59f5fbf828a3b406fc7">removeChild</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
+<tr class="separator:a768256c823f4f59f5fbf828a3b406fc7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af6518c8dae466a87581cc529384adb9b" id="r_af6518c8dae466a87581cc529384adb9b"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af6518c8dae466a87581cc529384adb9b">getName</a> () const</td></tr>
+<tr class="separator:af6518c8dae466a87581cc529384adb9b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a39e21e1789b9a584349710b0de2f7ed2" id="r_a39e21e1789b9a584349710b0de2f7ed2"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a39e21e1789b9a584349710b0de2f7ed2">getParents</a> ()</td></tr>
+<tr class="separator:a39e21e1789b9a584349710b0de2f7ed2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6baa055756ae6499664df681614bf2ae" id="r_a6baa055756ae6499664df681614bf2ae"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6baa055756ae6499664df681614bf2ae">getChildren</a> ()</td></tr>
+<tr class="separator:a6baa055756ae6499664df681614bf2ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6d16c9a3ed2dc01d85b2a694fd2a1543" id="r_a6d16c9a3ed2dc01d85b2a694fd2a1543"><td class="memItemLeft" align="right" valign="top">torch::Tensor &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6d16c9a3ed2dc01d85b2a694fd2a1543">getCPT</a> ()</td></tr>
+<tr class="separator:a6d16c9a3ed2dc01d85b2a694fd2a1543"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5174291e0abb0d10ed69d5184f7536e0" id="r_a5174291e0abb0d10ed69d5184f7536e0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5174291e0abb0d10ed69d5184f7536e0">computeCPT</a> (const torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const double laplaceSmoothing, const torch::Tensor &amp;weights)</td></tr>
+<tr class="separator:a5174291e0abb0d10ed69d5184f7536e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a66baf736f246963b0876daef9ac00f62" id="r_a66baf736f246963b0876daef9ac00f62"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a66baf736f246963b0876daef9ac00f62">getNumStates</a> () const</td></tr>
+<tr class="separator:a66baf736f246963b0876daef9ac00f62"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a04afb5a8c3374e85acf2599f68dff6dc" id="r_a04afb5a8c3374e85acf2599f68dff6dc"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a04afb5a8c3374e85acf2599f68dff6dc">setNumStates</a> (int)</td></tr>
+<tr class="separator:a04afb5a8c3374e85acf2599f68dff6dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4ee48bdf365019ac0ea17219b9e673ad" id="r_a4ee48bdf365019ac0ea17219b9e673ad"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4ee48bdf365019ac0ea17219b9e673ad">minFill</a> ()</td></tr>
+<tr class="separator:a4ee48bdf365019ac0ea17219b9e673ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aebf1c752f75718a25180d93324cfc2a5" id="r_aebf1c752f75718a25180d93324cfc2a5"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aebf1c752f75718a25180d93324cfc2a5">graph</a> (const std::string &amp;clasName)</td></tr>
+<tr class="separator:aebf1c752f75718a25180d93324cfc2a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab1dc0b1980a95a56ae296c55b90947a6" id="r_ab1dc0b1980a95a56ae296c55b90947a6"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab1dc0b1980a95a56ae296c55b90947a6">getFactorValue</a> (std::map&lt; std::string, int &gt; &amp;)</td></tr>
+<tr class="separator:ab1dc0b1980a95a56ae296c55b90947a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_node_8h_source.html#l00014">14</a> of file <a class="el" href="_node_8h_source.html">Node.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a6a4e5b42954ba503102c48806407ab1d" name="a6a4e5b42954ba503102c48806407ab1d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6a4e5b42954ba503102c48806407ab1d">&#9670;&#160;</a></span>Node()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Node::Node </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00011">11</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a0a6ce3306c7540ee96d52e7dfcf1a46c" name="a0a6ce3306c7540ee96d52e7dfcf1a46c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a0a6ce3306c7540ee96d52e7dfcf1a46c">&#9670;&#160;</a></span>addChild()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::addChild </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>child</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00039">39</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a07235101e26b94b219cefb1e8499fa85" name="a07235101e26b94b219cefb1e8499fa85"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a07235101e26b94b219cefb1e8499fa85">&#9670;&#160;</a></span>addParent()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::addParent </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>parent</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00027">27</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="ab3fe743739b7ae1f24ad02af7e4baf61" name="ab3fe743739b7ae1f24ad02af7e4baf61"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab3fe743739b7ae1f24ad02af7e4baf61">&#9670;&#160;</a></span>clear()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::clear </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00015">15</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a5174291e0abb0d10ed69d5184f7536e0" name="a5174291e0abb0d10ed69d5184f7536e0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5174291e0abb0d10ed69d5184f7536e0">&#9670;&#160;</a></span>computeCPT()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::computeCPT </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const double</td>          <td class="paramname"><span class="paramname"><em>laplaceSmoothing</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00093">93</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6baa055756ae6499664df681614bf2ae" name="a6baa055756ae6499664df681614bf2ae"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6baa055756ae6499664df681614bf2ae">&#9670;&#160;</a></span>getChildren()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp; bayesnet::Node::getChildren </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00047">47</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6d16c9a3ed2dc01d85b2a694fd2a1543" name="a6d16c9a3ed2dc01d85b2a694fd2a1543"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6d16c9a3ed2dc01d85b2a694fd2a1543">&#9670;&#160;</a></span>getCPT()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor &amp; bayesnet::Node::getCPT </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00059">59</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="ab1dc0b1980a95a56ae296c55b90947a6" name="ab1dc0b1980a95a56ae296c55b90947a6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab1dc0b1980a95a56ae296c55b90947a6">&#9670;&#160;</a></span>getFactorValue()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">float bayesnet::Node::getFactorValue </td>
+          <td>(</td>
+          <td class="paramtype">std::map&lt; std::string, int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>evidence</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00124">124</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="af6518c8dae466a87581cc529384adb9b" name="af6518c8dae466a87581cc529384adb9b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#af6518c8dae466a87581cc529384adb9b">&#9670;&#160;</a></span>getName()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::string bayesnet::Node::getName </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00023">23</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a66baf736f246963b0876daef9ac00f62" name="a66baf736f246963b0876daef9ac00f62"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a66baf736f246963b0876daef9ac00f62">&#9670;&#160;</a></span>getNumStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">int bayesnet::Node::getNumStates </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00051">51</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a39e21e1789b9a584349710b0de2f7ed2" name="a39e21e1789b9a584349710b0de2f7ed2"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a39e21e1789b9a584349710b0de2f7ed2">&#9670;&#160;</a></span>getParents()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp; bayesnet::Node::getParents </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00043">43</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="aebf1c752f75718a25180d93324cfc2a5" name="aebf1c752f75718a25180d93324cfc2a5"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aebf1c752f75718a25180d93324cfc2a5">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Node::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>clasName</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00132">132</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a4ee48bdf365019ac0ea17219b9e673ad" name="a4ee48bdf365019ac0ea17219b9e673ad"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4ee48bdf365019ac0ea17219b9e673ad">&#9670;&#160;</a></span>minFill()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">unsigned bayesnet::Node::minFill </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00070">70</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a768256c823f4f59f5fbf828a3b406fc7" name="a768256c823f4f59f5fbf828a3b406fc7"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a768256c823f4f59f5fbf828a3b406fc7">&#9670;&#160;</a></span>removeChild()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::removeChild </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>child</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00035">35</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="acd8dd14ad300bf536081cda3574c9f42" name="acd8dd14ad300bf536081cda3574c9f42"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#acd8dd14ad300bf536081cda3574c9f42">&#9670;&#160;</a></span>removeParent()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::removeParent </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>parent</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00031">31</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<a id="a04afb5a8c3374e85acf2599f68dff6dc" name="a04afb5a8c3374e85acf2599f68dff6dc"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a04afb5a8c3374e85acf2599f68dff6dc">&#9670;&#160;</a></span>setNumStates()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Node::setNumStates </td>
+          <td>(</td>
+          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>numStates</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00055">55</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_node_8h_source.html">Node.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_node_8cc_source.html">Node.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_node.html">Node</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_proposal-members.html b/docs/manual/classbayesnet_1_1_proposal-members.html
new file mode 100644
index 0000000..57aca7a
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_proposal-members.html
@@ -0,0 +1,125 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_proposal.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::Proposal Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_proposal.html b/docs/manual/classbayesnet_1_1_proposal.html
new file mode 100644
index 0000000..0003bbe
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_proposal.html
@@ -0,0 +1,414 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::Proposal Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_proposal.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="#pro-attribs">Protected Attributes</a> &#124;
+<a href="classbayesnet_1_1_proposal-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::Proposal Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::Proposal:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_proposal__inherit__graph.png" border="0" usemap="#abayesnet_1_1_proposal_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_proposal_inherit__map" id="abayesnet_1_1_proposal_inherit__map">
+<area shape="rect" title=" " alt="" coords="238,5,371,31"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="5,79,140,105"/>
+<area shape="poly" title=" " alt="" coords="252,38,113,81,111,76,250,33"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="164,79,288,105"/>
+<area shape="poly" title=" " alt="" coords="282,43,241,81,237,77,278,40"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="312,79,455,105"/>
+<area shape="poly" title=" " alt="" coords="331,40,372,77,368,81,327,43"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="479,79,602,105"/>
+<area shape="poly" title=" " alt="" coords="360,33,501,76,500,81,358,38"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a74cb430a04f97fae86e675618a011275" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
+<tr class="separator:a74cb430a04f97fae86e675618a011275"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac12374f86c22798e152da4abe094cb1e" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:ac12374f86c22798e152da4abe094cb1e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6088404577834de890622fc1a2a8ffb6" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
+<tr class="separator:a6088404577834de890622fc1a2a8ffb6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a26024ec85783a790ac46667d735e1941" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a26024ec85783a790ac46667d735e1941"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
+Protected Attributes</h2></td></tr>
+<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
+<tr class="separator:a3645c54c51f9445a66a1ce980be4694e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
+<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
+<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00017">17</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a74cb430a04f97fae86e675618a011275" name="a74cb430a04f97fae86e675618a011275"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a74cb430a04f97fae86e675618a011275">&#9670;&#160;</a></span>Proposal()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Proposal::Proposal </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>pDataset</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features_</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className_</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00010">10</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
+
+</div>
+</div>
+<a id="ad957eda3f2256fd69c664a427cfccf43" name="ad957eda3f2256fd69c664a427cfccf43"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad957eda3f2256fd69c664a427cfccf43">&#9670;&#160;</a></span>~Proposal()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::Proposal::~Proposal </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00011">11</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a4bb3ff09d7f6191775057193750fc2a2" name="a4bb3ff09d7f6191775057193750fc2a2"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4bb3ff09d7f6191775057193750fc2a2">&#9670;&#160;</a></span>checkInput()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::Proposal::checkInput </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00017">17</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
+
+</div>
+</div>
+<a id="a26024ec85783a790ac46667d735e1941" name="a26024ec85783a790ac46667d735e1941"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a26024ec85783a790ac46667d735e1941">&#9670;&#160;</a></span>fit_local_discretization()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">map&lt; std::string, std::vector&lt; int &gt; &gt; bayesnet::Proposal::fit_local_discretization </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00077">77</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
+
+</div>
+</div>
+<a id="a6088404577834de890622fc1a2a8ffb6" name="a6088404577834de890622fc1a2a8ffb6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6088404577834de890622fc1a2a8ffb6">&#9670;&#160;</a></span>localDiscretizationProposal()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">map&lt; std::string, std::vector&lt; int &gt; &gt; bayesnet::Proposal::localDiscretizationProposal </td>
+          <td>(</td>
+          <td class="paramtype">const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype"><a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;</td>          <td class="paramname"><span class="paramname"><em>model</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00026">26</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
+
+</div>
+</div>
+<a id="ac12374f86c22798e152da4abe094cb1e" name="ac12374f86c22798e152da4abe094cb1e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac12374f86c22798e152da4abe094cb1e">&#9670;&#160;</a></span>prepareX()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Proposal::prepareX </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00104">104</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a id="abfedb22d5ee155cb593bfbfb01cfc773" name="abfedb22d5ee155cb593bfbfb01cfc773"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#abfedb22d5ee155cb593bfbfb01cfc773">&#9670;&#160;</a></span>discretizers</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">map&lt;std::string, mdlp::CPPFImdlp*&gt; bayesnet::Proposal::discretizers</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00028">28</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
+
+</div>
+</div>
+<a id="a3645c54c51f9445a66a1ce980be4694e" name="a3645c54c51f9445a66a1ce980be4694e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3645c54c51f9445a66a1ce980be4694e">&#9670;&#160;</a></span>Xf</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Proposal::Xf</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00026">26</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
+
+</div>
+</div>
+<a id="a420c1832930cac9d5d5ee9fdc847042e" name="a420c1832930cac9d5d5ee9fdc847042e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a420c1832930cac9d5d5ee9fdc847042e">&#9670;&#160;</a></span>y</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::Proposal::y</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00027">27</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_proposal_8h_source.html">Proposal.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_proposal_8cc_source.html">Proposal.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_proposal.html">Proposal</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.map b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.map
new file mode 100644
index 0000000..36e081a
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::Proposal" name="bayesnet::Proposal">
+<area shape="rect" id="Node000001" title=" " alt="" coords="238,5,371,31"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="5,79,140,105"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="252,38,113,81,111,76,250,33"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="164,79,288,105"/>
+<area shape="poly" id="edge2_Node000001_Node000003" title=" " alt="" coords="282,43,241,81,237,77,278,40"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="312,79,455,105"/>
+<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="331,40,372,77,368,81,327,43"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="479,79,602,105"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="360,33,501,76,500,81,358,38"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5
new file mode 100644
index 0000000..5104bf9
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5
@@ -0,0 +1 @@
+ebc49cb39da6e0edf6f34e086690a717
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.png b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..58d8a633ca34b28e7ea352f0a9ccc7f4c85677b0
GIT binary patch
literal 11225
zcmZ{Kby!s2_w@iuNK1!;pdbRmAe{yvJ<=!*0us{QDBay5(%mt%ba!_nAUSltXFk6_
zzt8*lFpSKdd(YXi_C9;9fKPHCaUW4Wf<Pd+k`kf{5D2O^cyEr04qhqH?FGRvbUo>h
zqL6#!zh8|xQ4k0%L{jvfl4J7Tf=hD9#9hnL(5%bQLy9)?R*8hn@W-LjSOE!t!uxnH
z1L)gqr#jN*QU>Mun)w&#NpK}4Uo(mKOLVe5A*6_YEDtAcs~zajI9ps=qR~G~xE6C6
zO6@zpbsi`<TO6uLJrJxA9C9eBO09a!lohQY^*=94cDfBuJQecw7-SQP(K!$8sq=gJ
zuFvKy7##&Lvy^7c7V+LPDMM8X>|)2Z&DQpKl_vDc)XvaUodoc}$DEf6`B!D!rjx;&
z14%9dc*<fo;Jef!?(;i)ywM69`bYMV{~lTuz@Yu#n;3~GHsnh3q%wQrkPA|JF}f~|
zTvz^M<KzF<s2pIMkCkOo8zy|^Pe?EBC=e`FWjH`NIy$ORa(jEbJ)TFzs$PAfr?g>n
zcjL6Wx=PM%MlLKYyomRaX#-{UI7<n)#-NYX!tc;eHcdE%#^a`Je$HaCA%Xs5s7{$$
zsTxaWX6E5>9~<KC`oM)<>b$$RcNH-t!pO+jHJAP}OHfq3DLVfJ$D22VggfJTit808
zC$>A2ML|#!bt@Kn`k(xEJH#_EQ3+Yu7qqm$rf-ww7!wi_#*5TzGz_wHa`bEFn2G1?
zrZhh`yWeV*@O+<bAI*}c;In>ycXwBOj)<hDp`j7=R?LwjBp~=?RuHvd-eq1xHZ5{+
z&T8CTKG@Nb>XM~&ng#5`mE5+Xv(oD0dV4xGy=PzCeCNF1fRMYnxtXpo!k3O^dB)0$
z8`SZ>#(cp)Fi>wWnGdWYu1voR72Y$N5hmRGcO(P8;!DMA`<LLL0fEOTm)z3T<tOZR
z#s0OMAQ)Px)tGpHvnBHN>(}LjgP}~xsM_ORW<IOc2X74fm#gQ@^(XR`lSMpIhlf8s
zbzDZdxxJNUvFQw^$jr_@?xeC{H|!^OKKs{GXSa)75WdI_``d`A4lG>U7XkuF6-Gmm
z2?;$!Fu_0ZP<^!~SH6*v5#AKJMYnU!U?_N|C1QYwh=io0r1`G*<`MzluiKq2H^AQB
z-k!H?!wsepc?vAmbbB_ZcV3~!@*)-cSG!F~bp9nW?0ltRurBhp=KEWV&?f?&4NeFN
z2??F<@Mo^aJ&ZUM9NvQ|0yby=KHpsqd5jjR^VHdHxBeCjx=6dfq$yNkb~)ciF4454
zF}ARfMa$#X&iQmlOihj4*x0z?WK^2dWZb`?q$zPo<UaZScIm!jYAWt@cdA0K<59M3
z68d^|)9uL^Oz?c(hFZWrcuLzNMYG=C3b-jwZ8Hic+yml<Ld0EgZ>|R8msk+#!!Lo4
zn$absrPtPbq9DnFPLV^x*TJ!@>Z6s$iok6@7tFW%*qWd7^CyB#JRDbq5fTx7=n8$p
zXS0dJ)^LdW=g*%?lZn9f^{>{}){gt|E#$p?$h348>g?tn*FyRe-sDW*7B`;FDh!E9
zZZ&0+a%3qDq=Oi$dMhgW;B;q#o|7~BwPszZ(a=*mdin%jD>~UkP7psK;GSmORNz?|
zAS78dYQq~{&PSWvT<rf%|H0*%_Y4ceSFbVeFs~Ua(H0T)26h^$GF6R?jQloN%{ntP
zV>VkEV7^cX)oJlW)%1Y0`QdjB4TY%`eIcZz>;<tn4Yx50FgV+pDCj;I1NT*>Q<*pI
z{*HTngBU_7{Zdr<ZRCg5S|`c0;dH5PrSX_A(lnl)5PtiAm~VA-e(hcqeW^mF<=}Xn
zG$5{{LkpI-nPk!QXKJdZ{g&VM@26EbLB!*sMu0FAu8FQp%54wP(MM~o^rv>i!wIS_
zmO`PvDFP1VR%_zHP;YN<ow9Y|pKEJtAGQWlX3F$2rZj8-tV+rxa$<FV7wZLJu$`0k
z+A<kH+E}I}QD+#<fysvPWFf@|Uz~JcqT;<{Mlygm(|czMeGO`0zig2gB$L0zuptTx
z3bm_&%#U12iHX}mSVD3YbMWFctOIr{d~vBFV`Eiz+_O@GMh6=e@;ArUrSmBF=ixTI
z)Oa8wA%6HY+433U)cm&o$^|M%HO;pnVEvF($5pH;ci?7yaBVSZN%i+R)KAUsZor;h
z6+^<iJ3G<<h?tp!K)P9P#Hfw}=O`#D&Qux`1(CA;{@{mKY>jZh50pqSQ1O+14fnpi
zJ|}ZL=#HQVF^<{2_j;hG#|k(5{&Fh~3lHzLUGwN*$3gSG)(%`%YQpSF87y*e+qSN5
zDU_P;y@JAH5a%ymyzl`jZ@rxrhZ-Io-QE+$sEIYAtg7h)Vx=#ZH3P&;ab_;K5+wQI
z>6CVT>Twd6Dd}AG_cf3z250|fGIMei!6tzFmS2@{X2oE^7kmMT7VqId75sZuSUW{x
zw^ub~eeze{{$LSzJv0hgl(uK9n8TBvyB~FsK|qm71`il1)~r`JXWr9@w%d<U;7Y3g
z&;Jh}9<7Cm9M2e~MI<Knrrn(|n%8YJ1VhcHOTD_Dy5MMQYk#RRmo3q1y!e|DhKyq`
zFRz<zm<QdnXI?J*@GfPowayR<9&>7731Lt{pdeO|yE-{oq5*j8>MA&vEt>%n8;N3b
z-)my{K7TVdK(*bUPjFat!l+-61CTu3=)xo5uy6a~qmQ<#Qh`blxv(p*Mbjn2yLa!3
z5#t#j@!jt(jR2TmfI{@S*<C0vFVA*oJV4!|ktC=?Vb%R@z}9NrZZY%G{F2K-BiX6I
z%dC9-6gBZYlg<751L0wiER!Tp@a;DHDL?=Lcw#$rmy&v9w=-@v07w3nlJlD<)VIA|
z6lAO8dc?=T=(w1e4NBU@Qr!<z*L1B%Yh67(J<py$&wP(ijZtD)PAvWtrJupU!66|h
z$H2=Q50V|la=8V?a3HY*z+vz9Sk4gw!OS7@+3Nb;%+~Kp8*Reo+cT=JFdC7INp%Y!
zt^R|e=zI-i6=o$QCs+G-4K^!Q-Phf{JYA*_?4RBa&pA$2W9cVf+mS2CjqH68m=Zp*
z0P1VsMx3_R>Xr{tYxx=Tt_HCK(xGXgmkLrORy*TN!Z(K>uFm#$6UEc3kHH$ao+(P@
z1&+qDWhoIpd-hE5?qY2bFGC6w3u`6a@9D8Uxl|q{vXUd4j8_r=+kWVSBJV4gCOmM7
z*y@`f+@6B0b)#FY->E9Qky7a$y>s26C8c6uM3c7vl2^Z;=BdJ@d<r@gC9XAFe$`YF
zk0t}BNH%lIsg9Y-+l~8$nH5M5xr<z=zozB1jpbLq;IS220ebahJjT#})Irlv^oHys
zW0MWfiZ34u3Z6QzaieUW4CSqsy0`{9=vPq~JBqo<?Tc(3=}%xE+f-wjh71fb2-~@`
za~B*PRRzK{MOe6*RkRD#+}v1IlEhe4m^-^v9M8o1s-2Q}n@$}Qx;QpVbKLQ>qFuJ1
z7f4O$j9^()wRUYREP5*52~a;9d8EJTo3tcEsNQdXWR=aX;eG9?z3G!=mC7q;^?S|W
znI#<BU;Us=&zvl3El*!oCR|<g0`lz@Z8qwZCK`p&(1_*C%Z!0osR>#n#QyAPm(=vb
z&w(^s@6qyxpm-Y%W*_&L%XhBq$1@a0ZIWU@^=k3I;e1sus!W($qP9LSlX{Fu(Acyr
zr8y*#D8nofDC$oUX}Q^qSnH6~_ru5b^omB*F)y?G!Zv*pB2xV&nKp#}19MsbIIb25
z+9U_}0Ez-ma3C&E()^RIcE@cW_Rl);<kaY{C{SNA{kDEi2bz+8$H(hVIfql&tn&5`
zey$Lql{l@QW5g4%t>N@{=!o@FpRGXllgZ2%5uz+oOa~)K2sWE{#yT!T2>J>{DBLw-
z%i);XnB5qx6ftyYcG0B0yo+TKr&y84+3S`)JT56ud88rCHlJ)g1!X2s|HT@l{eW`a
zMS$v1jMr0FrTW=fBYV{T;F?@u+?k%*>(-cP?)^#H)#cYlPhwgBnhw^!LC=bIK!y=6
zQHA*XJ>T?B0<4qPWzk2^1z)58(<AWCL$t;RK+P!*pFUwzMJ2+WXMKN*t(w@XIL9j*
z&n?p0@Gn$fD>&eYLu`48*o35kox9JNwvVZSt=04ZhjXcZw^m*{OYSXX2<?39Y4LCs
z@3}?fqj8jAOl@-P0>V|`^0avpKZRZaWD}K`B&^Bu(Rmn)F+z_V#}-{qUyZHRBq=6F
zPJk+zlt1C7NZXfs852*upXyuWJYm<!Qyg1Ne2QA1d6m~otJNd~K`S-<c<+sHIX`=x
zOq1<;ajiNm_M%vg;wauU_;rTU|B&?-E$~tO;@Xk8Jr*+dq${mf#WzUT%Zp#3l!OK2
z!lhcbnr)s=4xOs)(=Vphckpok8A^mls;k;trVR?D|8X_{4%TCR$Rrd;9q`f?RWo8K
z6n2R9zJYav!05u2VXWzcwR?8-U^Ly$-->H1UOiXX2-#MIPa5i1DCVk$GG2+|=x_NY
zi0$*9(LkTQ>m*+h>h-^T-x?1Z8k;|~h@$#Xn*SoR{6RYN<(K8)82hr@0eq*DjM%`c
zcWA|I(O=VA58;>vDei@%`;uAt7_tC47&?pMXp>Ujb+VH`qt3;5weU7j^AEy(vlLx<
zkm+cA;C=9b8gqtxKb6Luv`(NC>u7X}{P6>`>`bWP544N24V7X$RqRn3I=$aS60O5c
z<L?fCw4wf73}wgK$J2HGJstY>D0=LWhu+iDR?FM?^Q<t@q_n9%<7kVHR}u<yD=ChZ
zN?R{n*RZ61O-Tyw2jERv*T=ln4N~vL_E2SOz0_4Vlkdx7`R}z2GTMn%o%Xq({lc&g
z>P8iFGHjaYcvlqE+bzGO)6~H9-weeu!g>-c21JD92LawyZ>h1Yv0L?WR@yFgH~$>(
zI}Di^$A8~YvF^IWMW-}5&s0#3Lq6}BPhG4y$`pjDh0>e1hr#{sQ<O8*0OlX3zRNeG
zM4?~EP#BZfdFTqInel3OS~2v@(a+8O`{1+RFh-zovJT4)y}hSXHpi-eKvbta)jI@z
ze;8SX$GAe-WC;vEYL1J~yMh1fbT|*XrMZXAWYIh3tXHDo@Yuk@Ah*Nsy6vF*>6Bo3
z^rnb3?y}6vSzG_yK6!)7y-35Ht3B%4Wqe2^ToXr++Sa}c;^9DbpQmA3R>tfRl!B6j
zY1HH9`K*v%*jO$1w30`sXE&92B`QevI9h=WhJ3>EAlG9v7Ey>i`c>52Y~)w(2|V3A
zfgG+}nGvi}6kS$JhA~O+W*;NZGEb5Zp<W$jx|?iTcom{VYa5zgBc5UFp+{d#&bJ8F
zNz)#2cJ;L6$MeRj+BR^$|Lc(M!tofha4?`rVIl@;#7OL)ix~8xdVh^^6698Ff}RbU
z8%_Lpw;5lfe?$K|IO*!av~CrL8L$AiVg1E4?D5BaoNN1>XD2D8`Sp;K6s*xvI%<Ma
zUEP!-!U&uC_+%HNjmUnMSgKlimf(1imO_Mmp@-7lzNA+=dNG6c`PbMe7%492Q*Bp`
zyjkQ~TrhKZI!U)hxdn^%>9f~!t&|Q!sr#&Cq=#B&IHr3|H$y*~7~ULIlwm0heU#uV
z)zzwX>QAzY{b<`D$Y?1Ynr?B|3>#NC!p$A3C-<dltDR=AXiu`LQ->}@q3bgH@&^43
z6S@rdRj3L9+l7xzKgip{uAvo`uT}5rDetQ;hfB$nEQ<rn340~9P_fn=>R2@|)t)~7
zTDF>thxil%i+-DfW?I(A5)l8_F|~`mqh);B5)n!E{-oAw_eD3OpZaTC7~V4ntn33X
zUP6_rcIQGR129s^6M1>1Xl!8S&F3S5hStrqq##Q(O#Or{40VWdWqTU)&BEM~QtV$x
zCj!TZj_z9I9yU|uGRpGlr1Nv0)h&`btnW3l!+$MANht?|g=>1ZuGM(rc!}yHq@~pI
zU?hz#hK@wNo)2GQ_x<MOvgwyp)A&TuAPHG$+UZ<%a19l{CwwfZgl{GLk|;aLq$w!-
zfZN2hp_#U`Exa$m?z_anc<=dvuAQtV876zyLV46zT8ilp5g)+jNpluput<ofy%oE_
z)XkU}+_RyV^{vs*m+`4%^g~7Y1~Tx!9X=*@W@+vYF>vR-&+A!`?SLCqarRf2J^B{r
z)9r-T@6qrisz$7<FU@nJWoVKbeISIBvGGY1j|_}>E?uTB?!>c)CV^HhFHszX!7+HA
zsy};XJY!Sr#M$c@tldnwRXORmf0hLMgB@7~_3;njv(KJGwpEx{Y_5|&EQa>XJ+d1(
zhm<4g7(=4M^e__X7enQlEI>(}Fd54U+K|BK*HjxcVjrg9^;xme4BTkm*P!2HAzk%S
z%6Znn&6xfoARx{VPYsQe#6O<K+}=qbJD-k0j&jb8+)-Elg1wUD^MrMxYu*<|lf3af
znwAi<PK%HSiD)80hY4k+vy`H)-zfw&pE@u|@C21ow!!#R(8&ZI{zSFT$tyK1d;IsC
zj)Yn5%=%t@e&SKUszuLgHun9UFAD3!NZjYN?U$DoXCX}t19MidHYAZxNgw7pu>AFu
zEEe(Sy@px*W#=4JMT}^&mmtUoUrfzmpE@HhgkuXhS^4}wXB|InCD5;>=k8}Yx0g}=
zys|H;-~Ij~tYs&eI+iV%^JC+a42Avdp1AxnDVOJ3EG$XLW@nGQpd8E8paI&zdbnud
z-u^eyV}q<psSp>{QBx<f<rdL4puQNI$KS1v;9QE!yaKMy_X35QOFX@Y)(`R@*1FB+
z>%Epqy`nxm*eQMfNjYolXq99ql^V}`{UEhavd<=O_G1*Aa?yVs8ryAqkB&b1BThTk
zE&6uN%`WlpWlYVvS$epbI-~>{tlaw%Q$H|S%(lBUztFJBSz(WD*}+VttMkplQzr%&
zutuK?)JW6yzV&E9|Hs*CV#X4%XW@Qm?LRRJBKe@f#|QNTVdr2Fdtbv7MOi3R%U4gW
zP=9Nl{(#aFKpkqX^c^%AZ907+D*qKY?<!+=ux#0A>HO><Fsi9A`9o{d56o<|M)YDh
zc7Tyi!%z2b13SV8#JVv<am2o!E>|gAmw2Wy*Ur<+G_C3uOu{da=D=_rmcrs)orOX#
zhCblGm^23Me5qHQ?giauGyIEfZnp0Ey-^lTl{TG{wQ`)`#O)?ufoWyaHgJH9P}wG>
z7%2C<oy%5MO!>FZ3H*h(*X5z6&&PG2p>$6s%rJL(+l|iCwFeRCaCr~mzHtFQm(2nj
z$Oow6q<oSy+B=PD^C$ux9irmRO1{d1C+zMLKC`t)ZkjJ?npH4%$aGjS*0bz@o=60I
zS>0VDZYaQlGs49oRN~ze<3XsKVh_vjMTUlL)M{2EraXu_I7&Bx#DiGATeYfRC46fe
z1f~sGN7e;iBrT*OBEGx9t1)b#>dm^T=`EA$j5k;!@_>zG1L1hvyb8+3z*kRI=Us)?
zsR&&5S+M%V6U;2SKC6p%^{MHkdUeEh%8X}4H*B?zKea$5@~q$TNm8@uQlcU;@jAf2
z_{FUA5+AuW(f=xx-?PW$fv+>wUx07_Z0XZ;bi0E*9c_L`LaWEniGV?G+Av{V;_=&y
zczN8+oDMqAhl5>Bn|I>GHt;~ZR>M@846|sVHR~wt=e?9j`*%!7_{QqVJ?TmbdUmI8
zQe4B6$XDO=8s-_<$1p2CR38tYY<F(&#hcV`k9AmQVx(9;{_Gg<-9g|N6H```xV9Lo
zs4N1~Gf1W1C-05rqqZ%&!a?ifp5I=Z$u(<*d%t4?Ep8#C<m6t5aZZGrA1t~u19^0d
zaNhXhdvf84bh7+4<p7v>RdQsyVV&fIa#_cCFYu=VIN;GR2uF!@M&IAvrjb1D&)SiF
zC%<p*PA!l8>z-ac3d<-pa;S&r=dHbXrS1P(q>BgB5!>tBx2TF-$b>`H2(<j9(+KWW
z{_Qxcmzan#WKS4}#j2S4wp#UttOlEGS%vs7I1zdyk-5F20E4nH=pO#O6|{UMkmT<Z
zv6)+=ukeC7os3rKfXQ4$z{&!TJExI4JO4d!XGbqpvk!q!x*zoGHeK~ZSNj9_d+!Gi
z3fiPDexMjOgKv_&`M*{Nt%($4g?~%)6bgM;47noX@kk$&oEJbFI0wP*1RAwRFKd&-
zT0WtvqA_|^VOmAX-rS@!Ow3v3mxDvzAf0QV<#bo;ubNhwa&T8NMt&_ylmf4U;HW=k
zXal6cp05}zHbUtZqDWPCKZVRnN0odj9FF%%e>-+V=F@jG&D&T~<{}`c>`p|qPD&_@
zUTwfnQM~4p-;C@SRMpVuae~2lYZW-5j#pl~WA+!yRNP5;q#TE)%eQ0YzV#wIbWwQf
zBz&0Kys$732`=`*JF7DOafIlLJgpyNb@s<C#<;ppM9ZEG>fu>pSZ;yn_X11x&@f(z
zauzBEBt-s0h7M^LMjUbf_F*DT@r=%dS`~(%6%uHJ`;4k!p^fOoTRH}QFC#DG7JWqP
z0AdkO5)Mn>@1YYSoE7?90oH-GLDT#Y2V)lVIh909sSH_o(K}oFlP`?-uO23To09P<
zUWs@saBK&gEi6o)TS`8)j^Du_UN7*i{jcO&@A_=G`a*DrH(X6Bu{Gr_P}iXITx|XQ
zpfu!L%SePn#T_x)9-9&nRf=UAG8>)}NNb&EVy5+nv5Pnhh$}-AU6u9Mh&q-MJ2dHV
zpuR~c&_fSYW-9_7i}1^dIq0jQ+F`LW;`AEw-<y63Rg0mL%Ef=HM)BJop=k?LkQc+~
zr|?FOMkR0v#r+?&dcIv2AXHgvn?qP|VKh?ze&t8kGu0VF<>KE>zlbTW9E@q`bK6<!
zY%N@sb-Et$X}4_YrswQ0kB)wSpWD^RWiOEdBLl;0geaVA1Pcr2qII#!2!9t}JxN_o
zd9H^_Y`s9;9KK=T5SJ7mPmbEKx^G>OxRe}1>Aq2$JvUG-l=O3e!mWHFBp51veX_k4
zVH#P#UxD}MX48z?R*jNJVBc)KFvxBxG<GtIae*+yI&F17sk)VlFJ&;cGd=<gx?{)^
z>b^Nt;4eS^_1PSjv6akgg_<)4$2pWZei)2{iP<tVH1wfkiuz9r*S{{Ey}0ZAD?U)5
zKYvc8aDGXL8w{nV;xh4`Fgfjp=Ks+7MSl&wz{xE>{q+hEH_>A&mj6%$BVFMLVHYM#
zG^V$YbgsS$<$jT>vmljhI<B->T3maVw_^b2e@{ikB_uGxl>F$zD*AkHroxYiQO@y%
zJUu;qyg+p*qw5pb5E$WGQ{(w{g=L)2B$i}eXJ=WreL^x_`3oS8|9c|}a1lvtDbs<2
z<Ns$GrL?L<v|$GZZJYfGZHS?%K`yQ4>wN(|eSP>^sK8&qA4Lo)DkwPa7S&8wf2T4U
zOitJD3PsW!U|2X&H2^r4ch1gryLMo~LM~^SMnkC&dlRAh=#0|wA{JLC+YivuIShJ<
zk?aw2WN!E`h>WchjOka}{Nm21ia1P68<RK;9z`+8uI?0+*f++3v2OiAQ(viW+uwzH
z2l!6Z*ftm-J{mkCCngpJgVVobIWVs^W4HVnQZ}vr<BdKfQ{i@f_JWS?2cTZ+h1pye
zurM)oz)T;^H1po_ITs<4XVpZsoi<3^Z>uiEz5vpJt?A<TuASuh3X@{?aJDSfe$(|n
z>NT5I19?zKYuf#d(Ug6RX55`+-xS~x)M_nPXjnUUXKO5AdU|?3=PqDE9M5ONP|~1a
z%dwZ{eig94P+#%2=P{C!0@FrG7>rR+FgYjHxwmQ|na^gr-hquf30EIS+x6(-?bWIN
z@p=z$%Dv_rhd)0ank_Y@oSdA{iO|9OxB(**g@%C_&3wkzd=m-SMx_gf;zvju@!1%9
zVS_RM<C;ZhW?<zk)e^0@m;YI(YD$Y9491Zob`WT#F6ZW8T-gWwqrB|+B`rTJa5Bf^
zc2`^QV)>_r{fq&iw^H924Gvcr!4@6YaHqJjNm+Ex_ZOzkxPfJwZ;r9S66qNjI;%po
zb_EN#Ct*2b0c|TSE0(2z$pCS;>8$C9R~@<E2JW&B45z<4S@dvGyT<&<?o<g|siwhH
zmdN~Z%o5yYi-3@l^Ckb7GZ+qsP;#}#2eL9cf$=aZDr%|Pqs;)hoG3s7y>2`i)jJ1l
z1R(bwgVAj<2P}nO%--JKM^C`xPEb1T^+t)uEi<4Q7yxSow%LAq39M{9kxv3_pJzIG
z_V@3%*4EYwMB2R!pgwE2vy&jTfV~4mScB=(_qpnkMi&S3h9hxRdpvgY`C3%6#-NCZ
zh<AY7xc@|<Ecv~_!Rh#MNp9}TMOVZCYO}u6uA;52tygR@pn=&v?r!Loh@~@5^URd1
zgaOfIie%qp;@MHU8x0>mc))J6DYM^rt~F&3D36Ul7&NwxsR9nKk(?w5GddI$6z8G>
z(W)$Wxde`m(|hFK0qfJB$W_p7Z?NDuS7q9z>9Ejowl`Nc^ICYr%0bh*FP^P_VX!@b
z$auDr373ld>&4+pW>ywTczAfrgsQeI;4{D{c?AXZuU-X8Mlq1Q%=lbk=z22p5%O=k
z>?ht6{^15En;$=ZI08;mbICE){mQtwcJ<M0^>^tYQsVJfTM!8L52O}=^#btGUh~;A
zfcHX@kw1R^)LeK8NC)Ps{@s%1)U~d#Hy~|ES=1mc*lZ1Nk<9WDi92p7;3JXu-%Kz%
zJUzARz$<mTwy!puX$@j)Qu_)|27J;8;28jpNDJlwx@6;Ow`6O8XNl#W<~I(rYH=o5
zFMx(oa19=f@W1Nv#`Nk*feVXOF8hCKi_W`69BkDaMKC@-zDhvxjekG>=9a&BDk<9C
z-~aXg?)Kqe8{jh&cr3K?w(>zXAnBg#gXZ0;;>hvptIt|l3w|i6PMZ{wQBh8(6RONg
z=1*Z0FKV7^Gchrd>+@Q#V<vHbr(<I3nc%s-SPMe{-qUKe9m{@yUee5rMZo@_&UmhT
zp<3CG<m7p~Up!{hZ^gyYf1=~kfdKsT6XT6uJEmN!U=QGc)GEIbS~TBsW8hIQ1J@XU
zL_)HxfSE!7hNn(XQdZUgP&U-UuJM4UFZZ~22Lz?ENdn+!GL6Tw3pL=Qry+$%Or_=>
zRyJRmf*|>F@c#|~lDciaM~f~8aN%n}yBs1AYe-V&EZJ^vwyImKq_oNHy4+%^3H8A3
zYCESt9-7fIRBm9vCSnid3F2W-2Y%uUcLxwL)^4S`_y+|s+cf7FR!`PH5wNfA96??_
zzg19sMNCE2hh)n2!-P7&*DQ1bo(zfV@`j%Qc6hjPbRKrohaJw_3|Y0|^00rO<pk^Z
zNlT;QS#;F*vavZ{m&AK2*bR(w324;>?(dW-{C2-V&VitRURC5Ct7?3%>)F!s)^ISn
z=VW_Kn)-vvW7y=28lk-lV0j{9;&l`L(6F$sZQEmzJM1RoFXfVX|A4K5{pueqHj0Xi
z>($K7l<J~E`r_D(+WiSHuCFVsH>AodDx5A>{0Ip_9Fhw;b26(Gz7>^#!M65lmNr3j
z$Ru$OD2u0VrFo<xspBkZG9)}NHo8c&R`BZT>OM>q!fqA@0)>EpfZ!(rq}|`8U@|i6
zK)C=(7ILW`-&{g$4Uv(reM$zYN%onT_g;+sfRT?6K5k8WPNNA3;V_{ya$HJIo%vcT
zTab7CxA}FmDhIR<!`8O8oJ~zlGO2>_`K|ogtLJq7n4RQEQp`VkRx0A-uHry04Ail$
zE*g(@q}l-_w5XWa2+#?juH7B$ZBLic12;Vf*<D%5sVX#Ls=1N({j`Dw-~}R>nlIA*
z_R8x1_B^iM?9dDe7bSo*w&@^It<`e)Hy!apIu__n)Zo@H0A_aTm02#>O~LQHF0ZfO
zSg%XOvT4hKG)7wgbNN>+2nPPs=OC<sBB8p)3e@P97*(wvWC;ekfPTRAeOqc0f{EO6
zw)x`Pe2??c-2_D@JS9cbB!NsHNJRWGg`7_y*4LegJ3^Th{+P)kb(@<DE1+UIIzMMC
zzc)&AQ(2!g(7is}%P^fPez<tur+sHFzeXD<par<fR~mB43RJsKT9)qb9FRDLtX(Z$
zXaWBIw69*}_umE<z(8~Giha`*<h_Q?02lCU2r28AXtmhMoE`17^73+|Bq6_`c$Mb<
z0^|OoON1BbWRU6-_(9V(Ilt}8fkZAeYm3UuF4v8msk&bIxg8^?Xgiug3&00gf;CCh
zd^HyQ95)~7`ht-$Dk|zHV3Q#rLD$RsUV}`0B6ztTWj0qm5X0*0>sxnL4>}`qE)!yU
z@!(%_Dg4DrZ@~h;jpq{j;XSc-OOgT%rjSs|lE-~Yl6hUgoJDgAXy4e42B|@pVcy!-
zrn#|6vm7_&q4@<^5Oe^7i2gUhPlaYr7m*eRgliWNacnO(3IN$o1IYY&AnAE{w$SV$
zf-KH#jVB5L8%72OM<87+mw=>2$<=3~L_3Yf{UW`^1(cSPy}2pY4VMq!3mrUn^#}+F
z{|KGWe~^*E0sT~tL0{~PeZ|GAXoq(~j)yvVJ#qh8k=tTX28d7qJdT%W(|C%9P#&E(
z-=`q;B|yDY8(A{?x2o70iLFnOF^CPwPVM_EvM5GaHc+$xLO-|vSO}Pqds*0meGZ9>
zWqJ>5mfQuJ@2;3Z1<M480CBxJ>Y^5O96t5iS*Yg$yOT-a@PX=g*51XVq2nwAbYS^X
ziAlIJoc;lzVK}Ii;efUFefGiE67aB~G*R$c>Lkd{8pL2N104k=J7y`+TY)xE<KM1q
z688}(SdW2v1+*iYB18-_%fR#oQ^lGOFfiVL7BpKfrPq(fT|z~L6oORYfaC&d4tPtA
zKgdKIK==clK`Y3k?TG?1a2OCvlmwx`XSw_~BCX*V#T}#@UD`)c(Zk#Gr3%+eYf<kI
zDxPu>9@ck01=%3)0}-o1Y@<N9v0u9uih2}XBb>r(^&{hB7*b3yS@`*bk`i&8mb0;!
zh0B*T6GOM1(JX9mi_MXbG<G3a*1XjHsX|Ftr@L|WRqspeVlt{HhRUP2gf*t!&KEv{
z_Bze=STbU$K`V~iY?}QQ6e{1l3*sdjz;O@Amn=|BfI{vo!1c(K6jo3;N9!FdfUqJK
zT%-Z20V@;=9WDI)hR=H4-`^i3ku2o$sEY<Wy8hb;U7l)5YNgqXf~%|R*PDx@$e5TH
z_Vt>`mg(s9GzO@5B))yi?N1R<6%}>A+Ga#~{^re?@*sdp1JGh;#WK+yAGYC31LR)^
z)*&N|0Jx@64Bw<w<-62|#k0Rd$E8&IcZt+^8T3Xo(b28i@^1jvJr;;L0w+vjz{mb!
zVPT-BdN-IRaxlyI@}&f13I=NQdU5@JB(NdrO94*K$`<=ekEXjTQ$oVB8M6-eCWiwp
zr?VNO4!tso3d4a+yWL3+APk#=Glc=^0Vo-5FNekjC1hlxK^qgt96PIaaD3NvbaeDk
zZ?Vp<05rS_P<>zj=n~<L^>yMrdf<&%e}BxGW)BaqHK%-GV0eef_;|H5%$*=`Gv6~%
zDUe#4Vl@*}w<~a5SqDF0P9_3uAHr!i{mJ=!pA{_H`a2ON<*SmWE0esfl5EZ0CU9+k
zdwctKYHkwQPR^oH*1xNSEg%+%1l5Slu|)7(H)(*uX9xlErrofj2Q+?~2g(80hGNWO
z?jJ*`na(yZfljawh#)je!k!AflFLyP6$R3W7vS8(THOF@#7y<~B+z5jwp@eH+%Hxz
zB&DRRV-&Ss#4yoWU!52OwME`1rw!ejIfJ28p>ps&RFX+5&>kTh7EoWA8!VKinvTbu
zw}d=0g_X0`nVV--(*D`k|C_6U0dQcUpr9ZL%&09lX{{>Gf1!Oj0ib}yakXiCQc^{l
zlHU4qBaX~*0d$?<2-5~Kw*?5pq^a@4&!3CwcE+Rj6)1^H8lZN_5pUtC6vWu?%{pcN
z3w(r!2gDxJbGo%LlL7}LS4y|LQ4=OvAeTYi+5D}?q!Eief`ClOZy~blF~v5e0U{;P
zTiJkYB%+|$E@D?=%{Y~VM@=#+#~9xh*3HizD-(j!`4v>uMgE5Ttja|uhtaFde2$_t
z<+!OY|922Jq5q!~ac(<Qn~KN0u$?`+_Y?#%0{plL;3$9i>qur7ar0`8);X=HG4Q!|
zXZ!%&v601tjC^7JenVJH(P{BnnHr0qki5B};ij&Kher`?Cv18x@5iaIdcEUuQ{I1P
g@Bew}McmP>_CBa?W-(0wT3v{wn4D<wdz~Nu4}7qyqyPW_

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html
new file mode 100644
index 0000000..a37fb96
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::SPODE Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;SPODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>SPODE</b>(int root) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~SPODE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e.html
new file mode 100644
index 0000000..aa7f1e4
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e.html
@@ -0,0 +1,339 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::SPODE Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_s_p_o_d_e-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::SPODE Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::SPODE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_s_p_o_d_e_inherit__map" id="abayesnet_1_1_s_p_o_d_e_inherit__map">
+<area shape="rect" title=" " alt="" coords="24,153,154,178"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="17,226,161,252"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::SPODE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_s_p_o_d_e_coll__map" id="abayesnet_1_1_s_p_o_d_e_coll__map">
+<area shape="rect" title=" " alt="" coords="111,168,240,193"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a08349c93ad92057751a20929ef3a04a4" id="r_a08349c93ad92057751a20929ef3a04a4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a08349c93ad92057751a20929ef3a04a4">SPODE</a> (int root)</td></tr>
+<tr class="separator:a08349c93ad92057751a20929ef3a04a4"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae7162335f4ca66a09efec9eff181fe2a" id="r_ae7162335f4ca66a09efec9eff181fe2a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae7162335f4ca66a09efec9eff181fe2a">graph</a> (const std::string &amp;name=&quot;SPODE&quot;) const override</td></tr>
+<tr class="separator:ae7162335f4ca66a09efec9eff181fe2a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a891c56c0a059cccf2f29d476b0880882" id="r_a891c56c0a059cccf2f29d476b0880882"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a891c56c0a059cccf2f29d476b0880882">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a891c56c0a059cccf2f29d476b0880882"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8h_source.html#l00012">12</a> of file <a class="el" href="_s_p_o_d_e_8h_source.html">SPODE.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a08349c93ad92057751a20929ef3a04a4" name="a08349c93ad92057751a20929ef3a04a4"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a08349c93ad92057751a20929ef3a04a4">&#9670;&#160;</a></span>SPODE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::SPODE::SPODE </td>
+          <td>(</td>
+          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>root</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8cc_source.html#l00011">11</a> of file <a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a891c56c0a059cccf2f29d476b0880882" name="a891c56c0a059cccf2f29d476b0880882"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a891c56c0a059cccf2f29d476b0880882">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::SPODE::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8cc_source.html#l00013">13</a> of file <a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a>.</p>
+
+</div>
+</div>
+<a id="ae7162335f4ca66a09efec9eff181fe2a" name="ae7162335f4ca66a09efec9eff181fe2a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae7162335f4ca66a09efec9eff181fe2a">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::SPODE::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;SPODE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8cc_source.html#l00026">26</a> of file <a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_8h_source.html">SPODE.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map
new file mode 100644
index 0000000..136e08b
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::SPODE" name="bayesnet::SPODE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="111,168,240,193"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5
new file mode 100644
index 0000000..3e45214
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5
@@ -0,0 +1 @@
+a7ba010489f508859de8b2a34852703b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..72bb1578a70a11e5d9b17cfe9ac7230449d2ea2d
GIT binary patch
literal 11682
zcmch7byU>f+wF($Zj=<!FCicy-Q6lBAl)4zlA?fsfCz{n9RecVASvodcPO0#qBMx)
zedhOj-+S+RZ>)9yxl0!e!!UEsbDr2|?;WM9twKV`NQfW^iJGe79R$J9g2!L+ap7x5
z2}VDB!?n^-QA94#|FT;O6A^?JQB#!DdzAirCcu>X;9O>V!rrox(2GKM=yQdxT60dy
zEmpy#(cxEl>+8js_rBigF*l&K{qfJpPltkQTh|g3ql${wbGz76i}1}7USv`$eQfA<
zZTxLJ+a?nu#adCpMV$O+Z)bkT!_Ho2@4UCaHT`cdKN2H=qPPB!FXMrcP4@4`erhWU
z8NINgFD7IA95p{bU-QgCLPSKQhHcWeFHt_Hfq|NOUt`7ZwJ)EdVrV$|oUqxwm^TrT
z=a?2M3N?Kv(#0{64>40r{mg0yOUS9IM+Xo1?dlpD8gR{31~R1<HaBPIH!QVGyu5B!
zRaY1H8FuOtS;q*QTuzM<u)`(QLeUFiMQ~cjym_LKD1hp1&*`GKwrkiLZ1z9kqP<~y
z#OmZI!lBl2`ggDRH1KF4BGyZS7+L=DV{yiJ?n{b*H90+fq?q>)R$<|>BY!zLj2{D8
zal^yIxc44wYm=gX*xmI)+7C7+C>R)`*47--CH*M54a;0!9*78+dd}g6;1JQy7nirb
z7rB^nZ~NjqCmcIvDtPlI<FD$*t-;>T&i3(A6Bb3@s@;QwaO2XliK+w+%dz+Roqc^u
zX(Fx`&d$+9bT?Q<MH^5V>vHPa+RAgSK@==3aXU+2trtH>9sRDKo8Q<#zX(Bu7)cCD
zjcti*@k*PUFGod1z2qQ3$eEd6goR;C9<Swfc6EKs*GOixY0=Vhp8kU|AI;a=o-XF?
z@pH6@YmbacJS;2txJYi?v23c|-MTMTm}K}6OG=85heuIPPA;~5<;Rbwk-ct$GBR^V
zD<zr<95yyKqsP*rA45)0PyOrtP7YliYK^O%h=_<j4d-j@?0jXpA}-EIbxr&8kG`~G
zUPF_)jh_lyKIgyPA1k2uK}Q#nY#z+8_oFY=xK#P#{A}lVqdcwTkJ-<6>%uxZI+rCL
z64%w$At5z2LcQr?R4oC2P~R%8oloQP>INu~?(S|~0|UFN!-BHf-zQQ5ho66aug;m+
z*f2emE3L+)U=tRu9TzOBs;a`3ut1n~9ey78hebqu`t%8_zrR04)RP?|hOlyS;?6Yr
zM#RODNlHq_nE&cZymp11Jy-n_llX)7KXZ@C5LI>c4(m9nXD^r}I>yFm;^X5{OzvF?
zSJx(MxdQ_O=hxSxmcGVeHF$qmUR#UgYdfWMb93|X@%d6=`AOHv$f2rFI_Q{HP>^as
za*z1@p!_igVo+lAgyM=a{YF#32Tt(}QZkv-3eOL9t!Y0)i^LNX6VYe<C7Mnl=iTv;
z>r@>H5iQTV%Cdmcyt;|9`%Splu3d8wV#LP9UF=Tcj*N_KU(I^_!oBq`?iH06CDnZO
zZZl6~V@c{<zGLd>3@Bfkd^Bjh(R#5E!NShX-LtH#88jj0zwgj|aejh?BqUIZii%nc
z<tm{biu-QHWIaA-K(?3SWI7;F7#J8HUS1u|etQ=D^zVP`5D*aPJ4MCBgq4@`4Udd$
z>{X^-gL>90HMkqZBomyD=stQRy0W}H2npKN(-X~p<w{iKJM*^SnxK=12^>-IH(eh;
zKB1(da{T&&X?bx`-njI2WTcgqRp-!9yt;-)(Ytq%;t$qjw_5%%)6mh~b#mhJ`8}Bg
zWujtOX3A!7Z{IyIaIMrpqvthm-p5cpDvF^bZbN(|{MoYv<-8n7_1*35YzPI)CQVWC
z_f-A0Bz4<g$?EyJIx=T9D8~$K6~tk(#<9j>h~0m$@7DSo`%E@6GO`aI3r}~XY7b`g
zSTx5Py;rsGT&G648l*w$VaodX`Ta3f399qHeVc-U;_uPXV5U?+WTe9qDpts0FkAfO
z&h4d_YznIRcWyg6I<_3%sx{Uk`KwC;-`>1=bMQW2c=JS2@%8K1Zw-q75f@MW_51hw
z@xg|oqL4L;n2?ODe6PAKAfqRluh8<-GYX0!SgPW~hYzXA$z>H4+s==<#l*zowF~oL
zF;%s-`9UX#6co4p{l(Fdfs)sEeXOpo&MqM#!Orf#QChz?q{5P4Q&Zy~R7P{dtXb8m
zR{X<9dBLk!zld)2-I{xgfrb0>qeZqx@{M>7wO4Q6s5#Z9PS!fB+`fHV&)8V~#fujx
z5;_VBIYIk=4)$C~zxd)}?v<65c;!5{SY?H1THf5-dCEguZ5P@G1_m`&UkE?=Y|yGD
zDB9ZED(<&26)q}pu&44{Vz%t{OK?s#pD2`QC^<-9obK%(PPvbmxVI?rHE&}!HZ_e*
zH+n}!Y99V8>I^hAO0es<BkP*uhGIfnwJ(lcRzJv(=$Ugl#l*#xPl%KcQY%yo|2|Q?
zAkt#bg%lfsb`bT>$sx76Kbnp&p|(~y>GkV7HZ~l*Min6?rKLp`6)z3SOx1F7augN!
z*9)@}l9LUSjA?m|(JgK4uyA?V1_npot=UJRmoHylgETwXG!LJY-+Pjt>HF&&#r>v-
z!rCW)|FTI)Tp|p|lsVnTYHn^OCnpbqtn29Lz(g#ptwYrkIW1TFGX^&fzO@A0D$vOy
zMO4+)o+#(Zm7BE;wgmV-*qUWBsdoz}$DH}#^J&8TaV(R>!}gI8s^H*YQIC1qB!4a$
zmyhG)w8o|5Hfevj*x4~zg7zt-&yTDF&kiO;gHJ`rOYVj4?>|Tkx;2J(*XQ`?DEsYO
z?6%WgjauXLler74_2K+6RR89`gEnfP_UGqVPl-rc>iCB(L!)Xtk{8TUPM3|}S@eqs
z1qCfEEIheesLgic2I+wG3D5EVdMI?TrOx;(_yhzP9;-KELqbBhwhnf8J6Il{TBesZ
z%Ot&eH9!9`lw4kNFj~7-dZqL7y?gft*B|I|B_Sc+tNjZ(5zO*;?odL-$G?1u$jHbb
zA@%k3J3%9bIw}qh*E0h)#lB5WGG>)5Z*G#((a}vecz$Y#udb@nH8qWqIX}Wuh#>v)
z>YuwWGcsa*HpUn7lg&EThVo*68!&Gb<5S#qmA+0R;i9ficvDc&`FB&1bjtgYnHeTh
zQc{Q@@{Ht?f$a>;UPV||ZN~7Zy~X<%Fqg#Zy@Tph6x_WVYY&6kV9!SotQSz=R)g7c
z9-f|!g+9;1!q7v2j?e6K`xC64<wTuD2!!avU-Tkw)A)$PL>UuweuI@DnyDsENO<&b
zTL1pI)SGsTOh@W~8cN4^E-2W7?kN{;*g%#{93+ip_p5(YwY0*ks|8^~AV`z%ma@9~
z^PNw`#Kd9HnrV5ALL5g57-Y5!GyMsnzeGNNj!ChAioFB}@bU2XRD4QGBqaC}JoNDP
zR!~({Ej6^|798V5t|zH4Ws4zbs4*9O;#xX_pd$vU@wTvV2{w=->34Io-aU>@;aSSB
ze}`#ymKmDMS6FDJ^Tds{2jVcNUA|Z00L1tg_Bl8)+h~~h?b0veP5^_#{5zn6!J@m@
zV4kjKPB2hXJ}qxOCOkhsuc)f(h@`ku;kl$Nx!ZXK6&hcd70ih4P_RzC`F@%sNEeE`
z1)4>bH#9UfM8(7``_skNhVzL40T`~<eYp1LX2JJ-4LU*s0(94fCM)DRDKzX<3srxe
zpa13b^mHeTjRNfqb-vakcAvGukD}L`JQn0JWs~{L%ZA<b^r*j2P2GiRQ!CONj$sgd
z*W8@G?=MBda5Jo=q@;6hE~~kv#qsR;06LLp#&b_*_S~Yog~ONJn=PxLX-t>}#Jae;
zI!@KODn76;d8-n~jC#nWV;JLTaP9~v9m^p2EcoKgcj;#BffO1*NRR3la;VkVbWuX<
zy~@qaT~$}d>Fet|+2~!kbC&e=Kl>C)Nb6u_Gg|*(Y!oGAGS#Z1=c8HO@po^v3jm{N
zf#asQFeAx56O$1YmLNq%bgQ&+cGiF%8k}@cVpRE*hnKf&YAWqA6O-fNukWa6#iT!l
z&jtD*Py{xXmU2)a))`sO;kZrYdiRWtjbkOIYn><F2a3T&RZHMtXE$!~7skQEoA_q-
zMZZ1mmb<|lJ~hg-Rhf&NYWo4ksiN}9Ne*`FPD$0;gO)O=oy5p@H8rpLvt)D(%gstB
zL>iLCH|-_TM(DhS@&`*|{+yvq?9I%WGo*u3y}Z1b6{BjMUJVMVpq~=;e9G*%OflKy
z>mFJjS4*rVEY$b$BzSKy+i+m(OYEgv{Jxu}&AZ*)^tas7O>Ozd*B;He&oXz8?FB5X
zt{VO>3ql!V&HhQd6)bf5zhLusKAM7JVvPbD7A0M(8XCnrTlcHS^LP9HB<T}rh0A*;
zMn2rtzLNEzD8pGL-rEE}<$@e#Ae*B*?b80kcl^-Sv8=nyM3n1((P)R<aMyheZw19M
z=6#Qgw#otKhI?G8WEOSgMs^F&AD923YpxcoF5P&{Df`k0o3e~A^Y<;iO@CuT(mu|$
zFF`i;x{I6$9sV?BSR5f?rI@&$P%q1wC2#k$;3ys0NL6-1OeE)J<_l55_GT5mN@Gt4
zk=vGB{#5NZ$q^i4R%*n^jB_FDHe0T3hD_CoGHYed)^|_&!2s-iJXNwgMzVwD6l!P3
z`1s5}{bWUj(%!Wd6>0g24I?$BDc2Aw><5$;a>GkYkEM8>E))bx^o@w`)NCd1*I*t=
zJn<*M$3ln@azyPZXTSFT++7vHUgFECTHi|O{mtbbC2zJ`T+7CiV}Ig<9r(fal|v`d
zl@fx<g)|p^3w`Nu>R~In4h{B~<oa%GuMpFgq|x#dEBw98^{<+XgDxFrlA5kpv4-&-
z?)I>Yv#}yB$s9a0lFFuTy~jpNQ$KxYTQ!S_@U}(bJ*a$JKaI70<=|jj`y2W8Tx*Fe
zzMeJEJAkS#`0aIM8wcB|$-j)_=~aqzcI;rHyF-TzGIvf;CGo<fm{A931I_o{igfU{
z8B`xdO3ckMVkKhVci#x|vCpHMB=m3)@x&$Img66-OrgZY#4a_&tYXaPAAg69O+cAU
zFsiIdI5KB~aa}c#oRP_RBKXrLMuZ(z{Z&O9EF<Sd2P$%Y<l8-?us6|kdq?^jH1VU4
zlSA;Y$|cB_wjIf0tLwO%Y;P&^meDK>y5JJymLOxtR|W7beC@d<S(vzvI&;ILRe!b-
zah%Izzqd_h#RzN=y<s%>t+tl-a%x|DTP7_7whQu}*>yN0k0dmlIg5vs_VlXbRTpAf
zF4@!7e&P1_U23wg?>6>L?COn+!)B;Bw!5+nySFr{h%t{a+AUjfNF$0IvSU^%m8;4w
z7@BTsoSET!;YH!F4qj-Fbs_UxIbE&B_o7`EAT^?R^FC`492w)UVbCMLHeF)79#Upr
znHLSAC+&ajT0G|$AZH~L@>O*(l5XJeB%ONSkbP%WEuyp9i)Z?}Zw4<@gq@(3WBXT1
zIa!MV1(B2wqDE_m5s|yO@{)KR0!V}%N;hQMrwY#<-s<Eg(WhXfl`ve$>S69hIl?b7
zbTLQ1j~Oq|F4tp+!b$Ejb&CF)^F5}7jKUCyzq*>HK#%!T3@OcI2fHSwhn`#{fsAaZ
z4Nsz!1*)BT^lr{e<*+OUkILN*KF))<r}C**#dm|R8pf6qTqx@j-Soq|Cnj!%7sASB
zxsM|EytA45?aV}Q{y{+g?5@cjRlWi3{WcC?sZ!Vi(Vo3WFrLL*j)iqzw#9eT!UE$7
z9u9S~NuhViQEr#7EH0NtRla_zP#x~SL;O#^X`o72p{OWBfX9)%E>Z2Q`5GZ1|C^8&
zj*7>xpFdqezcxgn8Yh~R=2@=%DNQ>W<~J5*1)a|ORK+usW_0QG*hQ|(Wub3SIo~^!
zA_x^M+04kpW)#1D{rFwTHSjbnI{(g}#MbQJPL0l%1)dIdm_s=oy1HQ(q3t)=e-TNj
zUV-JD4WQqtXj&XsR)R?5(^s#FPnt`EE?09E!gDGRLDmW)%mDkMHMK@(D__jJMWamY
z?K8vjgqcbFtV)}yDUN{$%}H;XLwPPURVv|YVs7`MZZB3$3)dQ?op3g;<D6k<mkyfX
zs+g_?X>Fz&&4>z_<a9}N=9XR&q1vVkZ+}aY_c^%H*~#^sxc3Tj`H~?2(&AzPAzL>V
z7MAZ=UGKuDh$$E(!4|HrXNQ37G%n?p{Rq<;Fv(fdwY+})GY@&4Mp%ZWfROfPs_~`J
zYzE{P4=?d2#=rR9*W=gisjgE$7m<(jgL}bvtiGOiN6vS3bfi}Arr^w*czB3>*nS(F
z#Z}US*RM|Rusgt4Jm%B`T);O2O%_p)c5zNl)cNL0r0QicueTa2w%iilKVmYXd_*ZI
z?B%3(*8QASI6AB=UWeRMOlkIu`Nr+5Ryq@ZMWvaShbI9;5z`32Ju|YET%I0j#%))}
z-x+9cZ#TqX6%jdf441FO@jV}J6bvbcyT2J335oD$6iPZz_j)VlJRvKEtVoCkpnsyJ
zrKJ<Kgc_RmPe^w-xj89|^l8htZ{J?f($YFAF2i*oeeTF4+i~gQzOe+G!_xIrl6Fou
za;CCe`{f%^7)S}mK6@^+d}MMMxjW`sz8+T#62q2jIO^on1h?=<T-47U*i&hMvzi?q
zuHp{y+}zys)=n3-EQWPl&D9sr=-0yE(Lt6F*;0f0cn(LIkgcg2$B}+`^(_jm=(xDJ
zm!)6(up>CJ!m_pU`0+3=5qzVdRT${LPl**qzJ-T}w+crPgvcs7M-Ve4z$ZPR57Exi
zm2`4+6vL6V^YGXXM(E)#&5O)orT|lNh#hhY6r3%rjt8HZc$#n?6M=WIM~o<jWW2n+
zl{`H?H?y|Vt}7U((U59Aj3BRB|EF2L9hbayY5rB#ouXa@VcV4SFiv<o$K9f-XoJxn
z9jQHYFus9^<FhGa9{nww&_4V7BLbs_LjKgr)itPVa`Komgf8-3U7LURxy?Vm7$pQ0
zPerI&7-_LEEx(q8?kD$Ie|Br^aVk6iev)1o9&TBP*r{+Fv{`JP?CtGoospb8-=Gka
zkF@k{8OLiU375aEs3^7RU&@EnlCwugy5ZsCN^^v<B1eB$vt|zbgKDESOSq(mZS-fv
z^s~6}%?X~YZHEf!ZziPXkp!<w+%uwIL`2n|R$X$EO5ixd&o(qQofbtzJr~1>LJGsl
zr^3lkkbS-4vBXGKATL>wv-7|WHl!aSGXkk96MV|nV)i&BvOq|$louz0vsfE{Qj~E|
z)q;c|kg6beb>&8p*mueK2liE?#TaX9gH+X2XBQ6dd;pkbvE|;v`1L$Gx+!<eshlES
zJ>hNXrwB3`Eyd_C@;N3cf1&&Ml~IwcI3bY9&hnA`Y@ZDQoNA4292iEf8Q!{8Kfw5Y
z{Pk0JF{|1ul$HWVcp-+W^A{p<l()T-M@L<mJw8;=TIAqnkKLosOiASD&l4CgHYm;r
zBad4<IDU04EAVFhuJg{$j+^4Bw4mT#{otUk!pa0NFTYAlO8k*dd{R<v=NRKO2~sV)
z$&3?GnQQa<aw(ObG2b|S)wISwoZB-~a#&$Fs17E=uDqeaNj(bm@7JVyD)NH1T+Tv_
z;FSB6RV%saZGnS;Dh8#Dye<VEr!_G`UY6SyQKZUJklWUMU*m2~j`?CXA6}+cQWGi4
zh>EfxH{X(Lc;L<uk=H~Ay>*|w5pfWG0eg@U@mbb%EkDYrnqNanqeIUo#pk76=Y2H4
zOJvD)%&Mt0%tO<{;maE%FwPUk^7e}*S3-yNnr)-ABXQa(RiMbeMmnD_lcscF4@DE-
zrLU1+kXg=-)QZskTa6ozsvE~y>uxWposb;!2PYX>PP6Ks4pk?0jx|Tv?Nj7OH%*mb
zi-l}1yE@wx950XtgZHDcnE@;DUeK<0=jZUP$TU-)(_$LoT5J{!EowAw`00xLy>>*;
zp~MriVXHoq(pZQ~(|w;Rkt~8UAlr`V?X9r(YaIOUd)F(CH~lv!Af6wHC@Wdxtt<_1
za{gM)QSzGjy!<7ni@BkK{`fH~4_(+_STx^q*{a!@Ul;?~d{x;rr;T=1xiSog(?^<#
zQXXl_Q93x=xCAA{cZVb!HyZ87SL*SP>SJfUh#~SNAN#~r%P;&`uFd6sqPISP=20GA
z6xl&KJoWELcks~kUF=1A$N%>*^PT-oQ`q{?AmcecOnLqm0#-I%t9PhB_jcAf;J(M}
zCem@q?J@6h2a#Bcjj(nNawE#JT-C-6jF9qU&cEE)MZBdoT3ns?Mqo3HW2oC!QW(_)
zMwbh6|16i--oFq$qn3?9wEtmx{^(oC7}4BxzYRq}t_QNAYSH!M_F^c?>;f?MS=47X
zwzZmk>xHm4o*!*v?_)V<iVD4Pfk5)JRWP?d*UI~15?eb<az=SV<w4)B2Cq~k)wCle
z)#5C!pijl=z!kdVQMTp%ke_;3?xm=i!7_h*mci%VFV?A=1`xPD@<?P`Ipw*u<2H>k
zJuVXIGi<Cg-){5gX&hiKm;)2x<Z(UsRTLWEJ?`XIa=O@d=n+&YrB29Un^3~Vx5RMj
z^y&OZRP<5Rv~Z2hYcIO?pDOq}4Yjog94aa*jT(;RAFnHsmnpRSJe{r;GK4XCoo87k
zNJNOV&+hZk5JhWit5@>J)ORH%Jg2~lc_j}m?xg%zsbYT6CPqNe!{H_>g+Ww^!5WS8
zc?ZXe4J+YF+}QI{$<6J?Y|x+ka1X|P^5jX1pgrlGyLV&D>8PnK&QJed=jC;Md9b>?
z{I4JQ+V*;sC(6xLfFH}v%k$h_Rx2@Wtdbk=VI%{9^(sF8NvTPF_kC2*-oMp|Kf7IB
zU29YIe2Ys<0>O}S>7o>EXNQ*pgMvI4I&hE><-CvY^^0S24zrVzldlK}P$Y0*AV3=f
z0Tcq)Txy^#8y>9R2`xz$ct}@k%oMb<sPsM#n5M*t2s{c37+JbNfW`IzVf>Oq?ZBzJ
zs<~P6COz@kk4wb3$3Q_l1!b9)7XstvU;n)|DBw<!-a(o3(e{E+@ad7$Z(<hdbmbU&
zIYmWaU9q!`nQC2$?gqUtZc|j0mX<~{&WSyvby880XkNLdW_0<4+s4i=!MN0|vW>Yr
z<z6p|mZ6~`AraA)OP4ND$`6JSP`v~CIWkg@iv~#Em%w^9HZ~49m$xV@DkgGj<!*0#
zSWAd!ya0MdN5Xd#$kETA6+ybWYGMKslvgg$Koj&rEP>k?Qu~7nAO@%c&G**&>kHs?
zfiLU?=G&m$ObgV9x4PFI)&_I*bagGN`es`K63L$eUFis<wxVK9;9oEQ#i(mB2l|<<
zk9OEGfa!bdGzDbyr3drv80_zvQ~$Nmn+L|ghSj=Gy?*}uxdTK6%@Y6}w*TEeYY3Rk
z^{#7KLUp%I=0<>YpPWn;ai7(^apT5=?fH-XL7O0v>07xuU}nRny1Tk^(5I4|OsAx*
zOi6LOE%?mg<nT9&?_Fpp)>Tf<VIaUdzkCU=G3KS9`11Ml%e=fRXr>kTaG+?O%m!>p
zaoxC4FgmLD6EqRXq8DYRjq<S1S6Nv)!0^B3HBk=5Bje1K$RP-kS5Q#P8`71R$Mk#j
zXz<otpmmj2?oX9euB7MEXZs_Jg}$59YJ}k(Mggvyq<xchO83!cN^>FiUx{~CcJ{=e
z@^_w{FWKJSDLPV3tPJqv%XyQKV3q#oN1FR^2nJTC1^*yuUaAQkOUWg`%TWWzoS&Z$
zN8>>JJ~9$NRm_`{f&wV+SkwFW|Ka0{14+nHh|##lfg+Ys_&J&h0t}f;!)-7KyMnjj
z;^r=<WQQucHGb2w1KWQ!!&kFT&1QDp56w({{|+?0V58~EpinKZ=0TD4St&R0LM^$d
zqoX7LgBHvPyQO&|IbJ;wKZa_Z4VP-NvRHtC&e6TT{fSJby{Cr=6c?jLud6&fJO~2H
zN{Wyp<-^Tsf)=wlP^qkesYOCwy`l#7XaDCI5j>^xXLF{~XTt!W4OVyy%@zYEjwdN4
z1yoA}79Ocy(bt)onIm^dQDFTNT~m9$e#N_b_3F_|vibX#!?}xdIuHVIZjVU{{O6K2
zf{tg44f(upVL4-;zRIJ8JrjXOrJhfTcx+CKNkVReBqk4Sgp!hSesvWO**-iJX?2Ii
z;ggVj@g9)EgHOZ8!NF*t@`sFT@LYPf6P=Ni6u!7<bqcZ|pwjCFns1)|`sGq$Qcud)
zvQMcT$L#82m~%9DF+j6m`(Df22PpIZiQ8SNg#yY2hR>KjZIZU&7!u3e{_(~x>q$Q&
z9gAa~u7AtyBb|BR+t3uJ=9`;1MMXs(4<9}QT@SH<7y%(KfP2rvg4M;vrNZJPre>N*
zAN@l#f4jT8OHM<B!`=bR6*+L7AR3{285G1<c)0N6$Fr9&$(ML<6{I*(A+OYJlU5Zn
z|ATyu9XUKaG-?eL8!x*b4e2FUI3ia(W(8&Zt;UfG1Y&d7vx2(tBIz0D$9?M(*1x3R
zNc=zYpHF~31gUAEBOE*AhIy-L{>-~~*Q@I53;Q!967LkfWe~K}_45;3Kk#R~X@d{s
zcYIr$j9);&2nbAW4KXy}8qh#{0g7XG^ke=~P-ta{C(S-uB1v?mq-Z&ubVjp~K!#pn
z&sB=1y&cCa74v&qidT)2_g+;P5T#w+-Or&jbwLh2I>>tWGo_%&H9j@f*g5Ox$lM1s
z>Df{@mHV^98r@E`9SlI^QU=Xy?1y>N!_w~Ln^ICUk4^@EjupeGY(O1ym4(bT`&D-b
zswJ$+T>K@=kO~<86(Hm6oERCiVE1Bp_>TDFbIJQH{<UVcqjgY1>%qq+Z;D#eq7@P=
z)i;4?j89Hhxu%_-t-|aVcDOk+mAzp_#*8j20WG@+ODK}w3<<jO=3PSQme+j6VuaNK
z57HU_f`Y@wCbxN$-gy}M#DBK}{CmD`r`QQ50EgbtAllgDa1%e|Z<|Ngw=-aeIK#-Z
zG!m$JeVMe>nm@Yl>-LyiQ!56hkpOL3^+@2K4!s9gevy;JH_?uN*iPYee(fgxA_oyy
z=%5B(pp+;Ap24>KnRSs~XQU<B`<amho_S~{si4j-NrteB7A9MU^<J$s2vbNDmUtC?
z8@Y^u5U#17GGxaHW0Go({~}-T!(ZFfl>LW5GqX9=#r8&YE#>9Zl6!uhEZ^1Iv61fQ
zeorlC>Uc9>SMrQM_i(7PQ>ywbh?H;-P=zRlt=~-gY|H@fQ$o(q6!Ks~QUhTV99`zn
z(Jv8R7_{j_^_+Au5XMl4D3S1SQ`<hO8;Z6nC50u5JW$tsre|$|iK&Y`c3n;|;{Ke|
zl}f@+m7`k0`XqZht22*6!>W`VUP^1nl=}j~RY;k(zuFZth<YDYtBqbEd03n5=njV{
z1`$T{pepR~IqZ=vOn}uPL|q0u3R|69i;n22?-9mN4(C!p@YH}z?TR9GzTV4Qyz;;I
zZT#=R(Er8e@&E7TVbeGj0aTz2^M<8x_%c;_ZDKl9Vcd_JPU>_5A>vfZO%aU`H}8Yq
zGXLWTr!T{<*Y3+E%<t56bXT~!H8yV=GXW~>9Ui8HZV9N+s2E*O|7QoweDP|j?8Ap5
zfXjBKy$8DPtLJH`s>)hfu>;asSX#m|H#dK<KK$kA_z4zX_K-u&2uu<*kOO_+G(Q8n
z@MS4~YBUsdbo>WK#Sk$0`)fm=8hSz3&K`4$9nsd-hMxYczTP*fZqv-(7BEbBM#fCg
z!5d*7>0uWf08ME8*x1wH4#F#Hr6+l#<rF?_8;mm_zkI=olQ|a!O}YZ0%;zs(7?Q<2
z7qOv{W$Rvt|1Z<hq6cIyE<@W9ypafF!M5l1Lhl<v_(W8;TqrDH=L?;=1sFn5E3ifI
zTVRAQ_D}o-Gsah$^BppmxmG4cJ=+ZQ20%KiWf|Y!iMQjvYhZxO{<O5zwRQro*_QV9
zcx=5VIEmnI0Nv3bfQ2IG-8*~`w}o4E5;$HZC5=6@(Z8Ga<;xe)Z4b)0MMP++I5pcr
z$B)^A89{#OQgn7U>rykIGwaWh6sUEGfhEjs^h8F_5ZfMFFe1&58JdUZuVj?>!XFM+
z+v~V|tH3~yW$<7i2uNo1l8-7XOE)IUt-n{<g1~&~^z1Bl4`eb=;!7eWvq6?xcoBBo
zmi+V;FvQcPgBbl=n1hb@KSDe#U0q{Apbq>q<2&deq<ftjA0NMcxht{KZASdt_wNhk
zkI%S6B-qec#|k_=YZK)xZqp4<cune9L9T{z4J;SEOt54a`M0*mGQsD6?O(lm)s8~p
zLaL%y0>GmZ;JM_<uj+42zI^E1`TaZA&^(9+(xtYp5q<}F$@2GPZHkC1BQ6<p3`n$W
zVqy&CEr*PV-WyK#wFe)Z+64AKQ|ai5<(Ea(*WUt!NJvQd^39tlKq<{9n@y<plKHKz
zI3S(ok9L+&gUxAxGSNPhJe4>D0<G~tU{5LG5Xj}{6LqBJl$CKsTqna)Qs`q?WS9dE
ze|?0%8fts|n3|e;{_M}3imWUG5u~7@2?x&$GjMfq!=Qvu^*{I-4sNW#zbnb~A};jG
zv5Yve%Aufc6GKg{&9+FqxGeTGPWl)h6x<_l0#pD@;4y6=Z_mg>%f=RPI-TIh0z*>N
z-s(V}PL_0S9Rs+!z#4!hXxAG8h8F}B`|9p^hZRRQ?99MjwO?~>Ea)53P#zu_Af7?(
z7+kU*br1rh6$Y}ryga|X@M&$jQ4oAZ9*ds|jEs$QL4X!^Gvwprds|SDI(-P&6w#pL
z2T6Wt2^CQM``*3nZCObCjpOTYdV$f67qCXPgM2$XJG=eoj|%wQV6H^~WN&C{Qpg)(
z1!M*j7ZxrHhAK1+H2v^^0Irs3d<GysTaU~0=jcCc2mUei0+@=}0RaKT^!$kZKxR1L
zB8VE``ez{_h~&ZOU48Ax7#83utEj6}PQGz}9#SDDhB#fqw`^R*Sv=|B;6NDHL2CrA
zA)i2HMqlwjQ@#RK0|89|v&S<s7B|z)!5jrquVs9s9lQ~lnVF9k!s!qM5O+m=eYsDk
zeBp>bLwSiBlu_(bIt_qrv~90<iAc5&3#wpYc{%Li?@5M237?-~;69PXe*(?|v`axA
z|H04Et|J^nuB5fOHkpKkguy%&vUI5cTF7N&^Kv{~K&`=&r9VDWX{`dmu|~x(psw_i
zGKpK99_>KyEB9>dUP_0e0HA1-_G5VC;5r{)1l&VWFPNe$t-t0rG|<D9=TqConfw0c
z%q6%J;CNhX-y%IA1UJ`p9-c7m!q7WKC5OlEZD$4>MSkJEy_%2w{Pf>^wNCA$gVo<Q
zGQto2h=BbKY41zBwXnGO^wKRii>=v~M<>7QV+*sln)hDp1fc<bTX4$`{s;hZWPW}g
zfl~<tSd7Z6$jxPcm7JWHosFP<B5;4v)zb@uzQe}FMHnY_m{K{@t>Q+b;#4pxG=XLT
zoW{5U&;PDgR90dj-=?OnaByHd)iOd)L=6h%J5Q8>IpbeA|8fSVZ`u3RA3v;im%D0P
z&C4g2_SZ-BZ%9`Dh;<ipy2_z;GxKRde*OX|{`CA72(ZD>KO;cY$3prurJ~c*FI&Hq
z0uLd)VdRS!%CfQ{0=@o+zoMYIqI;HN7}_#;@N*1&3bJ6?LYq}!%7CwIzVa(`@g8+u
znaC4~!hTS_Q7d=v+=(flk(vP;0Px+oO%H!R{b<4O77FkSXcu&inN9V5{D=W9<1@7U
zIPi2Wjh#R)qVEcElDqhD&#*Ra1^WxYI&ceoLPr8jNbqTBr=)t5l9Ezqe}CDbb^i>8
zCUfB1@9GU7J}mC8^oRx?@k5pIgX4ynNt{|9A9R7m()!t_Nl7%!!AF+Rk%{LXUr3=%
zeUOSU&)C5j0*1b-$`;5=$YrzkI@hU+fIn{3w6yH3tO%?zOg<+>J-?$PoM-`zfDjOL
zKNZfLHL!cHg`kraZNr1>8<d%8g9ipU7tjZbWOvtq55&xW{VMv-mLlPM!_?FiW;NP(
z(R}=~*k}CCceprNz%jth(+W(IP?*mQiod{w<oEeG%B9jbG&BT<fr~)8=LP)Pe002C
zXlZM!pWnw4e1rj3C52j_mb1gDG3}LmBON+{ZUyY%Ys|>VxHc1Xwc!Q?ucD$NBs5eZ
z=`YY66=0q+i|HH~P=T?`78YV$iuzt{k9K4lI+uf=6nde@g9l;N)zzNT6l`E-gd1Uo
zxX;av*@4MPY>Vdb^-Ut~+IS8EAbnt3LEo#sXL;|g30wvSoocuD_e&lU-LY;8IuQW_
zBTC23-3AV(8yq5IqH|+owUb_OCq?%$7_FsC4`~eBw>ZQ2Gk4R9>qId2%K5pe31OR`
zW@gSZof?};p{}QWB})931hfo_(YXhu3k3GFtgNi*75;IK?Rd^&{X*@G3b6S#_E?mt
zE&Q*b63RBktQ>vETe%V1^|qnGXp_?TDgZIfyrI!!Y>)q8X8zAdc1IV}H0R&m22m@4
Q=^9Z}(pD^!w|M&B01A?t?*IS*

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map
new file mode 100644
index 0000000..94db074
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::SPODE" name="bayesnet::SPODE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="24,153,154,178"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="17,226,161,252"/>
+<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5
new file mode 100644
index 0000000..7d139bf
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5
@@ -0,0 +1 @@
+660b58c59a98cc1f67bff80bae3c1de8
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..16e3eb5eb3b372deb9cf3a0ae06ecb53c5792323
GIT binary patch
literal 10920
zcmch7cQ_UP+y6mENJv72Lz1k>$Q~zqCCMI<?7g$Hvwb9#Eo75qWsjqhnZ5U3A)DWQ
zp6~a$e$Vwh*YoG^hwG9<=bZQZzVFxldcE%Zjhc$=6+#+91OjnIUJj)W-#;S|SXcyj
z@UQW#3w-#7_gqmHg}A_crq|`hArK4*d6cAvd-BGFht?CfdhzXp%Yn>14B>vEM3mO0
zthQ<t<E%DCUwUdXhzCc>>QaP@ijG5hHOE%Fg@v56Ox8F!E7UC>-woSPTgQ%YEMmf5
z<+y%B?dv_o7!GUsj-`W;1!6LC%4`1Utu+t#`Q&7;uBBIh7U$;`LlG_9#Q*V?;&4#h
z(a}LAkHT6s4>tA;n5!z6l$3mtGNe6OOGbukPwQqnJ^DPco-s2U5#?$ybi0FYu`9)D
z)rTsln}?UTR-cPzn4hZsfmRH)q>-fArPsJgWS1ySWk@j(^a!5~>IMY`g@%VqD=9_X
zKlWfSuh1zpY%qA4l9k0|_Uk<#L;pKIKEA{4maDOGaRG~qW=e_NSiQZyRJ>-yi1hmU
zTXqd+{H~khmy?vt_Rj865UvlG;rO16O)<pE*{=<9&<ffk#Kgp?_$(>9QiMYUCf!?>
zPx$8RyF0F5zaAPLEg-{Xwy?1g84(d-U{f$)xzj64pOKS;*Kjhi#Sr)1{^-w(OSrf*
z{i@=87HLOEM~OTy2vyR=B1=oT+4ZVO8_tjKeXFZ;fIma{spqxI(t8Jf{mLJ=*E2X6
zoSaMx$3aMFXi$7EFW*_tik8YyOHWU4WIox5+uPgQj))*$Eh;QzcXV)IL}nfzd*&Au
zthovYNlEGyeI0TU{yjLT{_54Mg#C?;4d;`;HgyO6<_|P<b;s7;w}f2H{qp6D!Tv|h
zg3E}BSILx|dU8HKKKfsW1pcPB_vojUzwFK_EiJVj!pFzIM)p`+n;L7G=lp!H_enGg
z<yf6ee(l;7+pH}IW~8NsMaH{#lmQ1@F|o0dD=RBAESEpS{TJy}gnd-M>p&|@M9H4s
z-Y$bgDkv&4RqLrlMMcfe&!g4`i<pp^ZQ(bbz!42)i!}SUXIk#wz56CK)X~wgV{Gh$
zDG&9?$Vl%y4&6h1<FT(c4?OqGKUY*_lQGHkB=Nos4P9=JylHA;B3<jY#R5kqe}j79
zw5XI{QX-(`)b~-o)qz%?nOw+yn}Lk1t+lo1nyN_C!H|cxVT`o2w8cta_UY&PvYRvk
z8DhRi3pcPOs;jH@Z-xBx54nP}^6kuG$xS=@W7~UdY?&F-A?hY3Oute^Kd`g2ceJ+$
zPx@YXheb!{-bwTNj4pedkPwGLW^{|4M9|XGF4u0=ukqw;CO+suu(Gj*Q4r$3c<~~(
zwpQ3?q9#5xG)E;x;mw;jUc3DK{BPspq-CRT-G*yc&(lDmoL7I}#T*fC)Y96T`Ps8)
zo@+&wpYrnFgoTG&KzdT#xFIWGJI(;dg?KZ?D?F-o-N^LwLm+Eznj$D}-BMA={s$7~
zds|yj{oyQ80N<OM)Y$&MzU8`u$u-w%rjFRy*e@QtW}{y$u8Cfp?#|E7N+oa^E^cMn
ztp~Roed_-Bkr^)X^nU-+B*Q^&^d#+4R9w6sXYRE-Dx_q+=VvDt$9pTHQQ2AO#zqMU
zY3&y8=Uy`oe!EFxSy|ajczDm@X5|zW12hZT5)6IbY;W6ZJbN}bT45C<$IQygDq(KU
z`hez2Uw=OqLS9~8>x(%V<cYevdb)aEsqKUiDH$yt9T^$f>-l+8QnL5&-<R4=iLp`;
zqGV-v`Gi_qTN_75Y3l3i2?z)zBqd)ry`M-Du)D=?J)G`FjR++`U5c9Hc3xH^CHuQI
zbrpe!wlyaXKDM^93eaG~MZ0+PXBwPsWC@_F@6<h96n5Ke{pPXD5U+5eabh5I`A;Yr
z6SwQSmd^+pjXy9jK>7wHColgRLU($0Mt1Wi5qu#0G}zi^+rnetzP%JF6EKI4HaYsU
zfbh%AM6$*!C?yM$85kIB|M?^3<s~8*6_A^IhlEZjFiSSN`PZ*2fF^Rv$^$Ftk&&be
z1C}_+Y<23w5yOIKCGCb6$IsTstFMKS&`D`(Qi>hTUxU25Nn4w7pKA39XF^tWHMRJ~
zsZ)YMv3_kZov^E4sPo`KB_=?rdy9#x$%197eEZc~D*}j5`T71jMZsF^cnH03?qu-V
zGPbsyUu`GC*4M2M4-XLt5fPEY6Ar_A+L@UdOa!3R#9bEF*NGt!-@bjj9Z;N~FZJZf
zHQTBBNGP@EBcES<DlV4M)1x);Shy~-+sW&tAG<syo<?`IFynoD-wuw3hDP9z9}0CQ
z0uS({y@iB@TiV<4^78T$`K;b`)ti`@^p1{>F5vg~m>7MEuBoZH742jf6_OY2fuEHe
z%SUtNxrqrDB7sw1%F&SrDn592_WAJGm^5bs4kC(PJPK}COwVbt^EF(4@RggS)YRYc
zw^wr0WNd6W$jQkiP^@?FO3KL*05D;&9uRiC+6iApMTOw<<(b^q#P>C>AzGi`r=g)a
z+~@`@FR4FP*y2GzW@df+M!T@E0AXqS=e8oZ*P%V+FwMWNy&qET{{8#I<u9-P6Bn1E
zS&*TgXTLoy35_9rta|MHZ|~IHc!G(o`k6<WfLSLM;pNMWH*Va3`k|nvmS>9(`)$eh
zD~UHGIXSswVj=~JM4CfenqOU207O8cDCp>v5zDIs1wt;@$jLiKN8igt(mZ-zmZ({*
zCvRh8^Rd^Qm76=Ju&}UWXea?<X1+C9C&VSCqpN!)1SRstVNM1LJan)~SC%I!f`nd7
z35EI~V3)Hqhu(D&;&S^oymrcGJ<R=H+*eG$!6#)(W@<P*JbXVYBUh|Khr?#7J_RDL
zt*sr4LNdO5`O@cWh}=P&f$z!kFNe*Qw$zNW<qyd9H{Z=TgznwDm-XYv56(5a$!~f6
z_8uM&#pA!eI<O@qBwYP!fbNvGu*mE3EYehbR;-ut?b|o8ZsoNCdDJP6ozijpWIq-0
zzPz*B=6+wcqK1~%aDhorn%L%&;K2)a?+mUEeS?*cxw#=uv~I1x8!U?o3R>dtJ=^Y6
z<eE7<n36R&|0I8aCXhBWV+l210Tj>J%~dgb)vqQme|fN2Km3`YcYIJ{wVg~-#qw2p
zdV15BFF#lvL^PIGI`H^6`gamw6Y($+c$UQO?(X7$z8YN3rSH#9{zl;qYhF#wDD4@6
ziucKccrTS@Z{PDxgFq=}^7!|)At5RnG&YAVZeQw`IFe49ier@{{BArXxz{-n(zAad
z8le=enH_t_Zw<j<8R9inKF-Hm$*i>=VJ+3lNbX1DS2ICQwzw(Vp%tSX+CTe<v=z}x
zJ9FFVfXS4-gN58BEa!EAY;JgE8CPzv2Jcs9b9glKHi|TT_8F-L@_E9IoMwM(?5%Io
z$fy=alG52{j-}Wk36mZn!}kTST-B7*JL$_M?N=6Aa%a)^3qI_3dOw%s$KoKB{Jrvd
zcIr26$kbJL>8n`$(blF`oH12(G=%o01LgA4(m2UcK~596DJyqeW%zmWn?xk+LM3Uf
z*MnzQu&h@y8vU(JbvTfW{yI||NU2)Q@Q&B(E5?nS91+WHPfR&jSOpuWm&D0>@)x<+
z!#$FB#PjAE+qybrOtT-Et1{vtNMdv>n$BkjLp%SXbEQxcxBPN9wd?jPeJ`d&*G67h
zCgG#=pEx@Y+!Y$#eb;$rlt3B5P|Cpjf5XJy@&D@qs{Md^US8gpq`jUdgI+xgmC>|U
z5R;TIZZB@W;GPlO45)TmI=3$LlsWS<Ez%SYo2zOAJZWb?k@yh)b*kRUbG$H;7ztgX
z$Fc&AAnsyt+y48P|B<!~18~<!gE)Pr|K(Wz+5vi6TA|C!=1yOY_<^Age||x<*qs*r
z&}ng6)%W-s^!lT*wY9aK_M3L;+1YK(C(l?Z+~*<%dInwHQcs}VhihE!MbQZdJ1uoF
z^79WepYUBT$E(iF#NOH2S+s6q1zHJxzISZ{QvUvn9~8-A-ZaL>##&YOj6P@k&)i?V
zn)|cx6M@K9e-kZs9D4PASw%$!<DEPBIz^NS((BiQpizh%FK4N-Qb5b*{_aChfT4EO
z)YQLq0WL740fpM%-v|60+HfTd^8cb^Q?lmzsi-LX@87?iYhz<$D}Oh}JhyUt%|Ctp
z`gMpe<SM<2g@r}krq$o|5eiDm!R)T}k@CBOf{CG_fGY$N31WM6MA9a!7T^9W!*nMn
ztN8LoO;Itt>BJ4hL^@Dkd#9zRCFhq$dV6Cvi*z2T=e-q-%EBe0R0EDiMwXqO9jnKA
z2e=5($V`{DK{B#lXxDdviIrq&7FZl^&p?Mmp->MWKAhj!PzK;!Utc%>`Htf>puuL0
zpGMU4!N}-nA5eki&Lm#oWOMCTK9`kcOw_u?)zyi<K_TBibYdA88oF8d(4vodRxpa0
z{4$-0drWBP^XJc(-`q)^K3V&A`je}H6!GKNuMI~L1qB6GKEC+S8a(Z(GVTW~(v_ee
zdV4aY^UBI%&AL;SDJdy2Ja(($LaYsq?vGOy`##ho@b}Lj$A9FQ_eNf(#Rdf6cppr-
z)p?HNQUlMse*F<#`sdG|F>M7Jy8;UJBv&Q7wH0-qJ~BM4rlLYZC+hhY*r;5#I$S{B
zliZHM!FM`3I-lSr_4M^uiYg~Fb8=YNI5~65Owj7k*(a(T0@gP+@`{V2G}x|hj8=qW
zV`GOd+s0t2xw{MAjaT^5)x`qc?RYkvi+GTE)l)`AQ8DXa@>R*$!oNtP*Vgg)O;c}l
zX72s{2a{28!T+5$qEL9~$zBs9BL;|)==e)h1ki@ok}=?-AdeoudL?|Ff+9w<ARCy(
z4+yq#OYmbUDQw7qn4%&M`qY7fXZ>)m(B&YVSRlmtMMbx>)#ZWn0{>LnUHp}`HdGQ9
zAAh~>WV3e9_u|0!<A7yeMa9#l*L5yylv6+bafz0H2~0iEiu+`jKzaG{<p-u6r0N9&
zc$I6krqbx<o<vXH$y9%9^L0AWR59<GXC_-lVGJL<k8N5*$*6=~*&Ej9<^on%EkjYr
zj~_oaPE639pPz?DMuHN>MM$v4Ki`>clT%Rem&s~^E?nky<cN@X{Fv;m!fh6nWCAWO
zE_V+PMlrElwCJY(ehk@b?#+^&SzN?}#`Q5LXLWCGeZA9{EABhcVdBB{d)0bTAY4yR
zorVN_^lM$O2)nK$$W{skoY{#Z^91HL<n7wU9A;bVZ{cO}ey^Q6&dkpzw5*_cUPgtm
z-<f?BaZ8j2bPWbCKo!i)&EX)nx3{OaD&dU<hJ={(W<HAfZkj0U#_3lp>1=N=0X@~X
zv>-pf=lAcxu}V9W#m*$Huh!HcHpp(=2zh4Uf!i&zOKkXz`S_sQRW_Y?VErB(YIt~<
zfe$dq>{nkk2R}b$QBje;j|4HMpfR%4;hX6F#bM>|>n}|sWm>wm4QiY(fB*g+^TdF4
z#&&jBtMy0_f<C8$VPRp1_CT3H4pH3Xx0Wz9Wu|Y;P4l4ve3FxsLy%>B{CJ6xkx@=b
z2?a^s+}v!x)I}%w@F62Jb6}bePpg_Tf;7C%+}wP+QrvBmw*Gjvz%~Ki4%xM90iv(|
zGCX`p4cEgKPl$i@R_kjV{B6Kk=aGgC6Jv9wGderNc22poYMEQ$5CjDV#)O9xLA{4X
zL@<NWvaEOyw;>HpV19E`1;fA0e$hC(xMY9+%!5RRMMbe7ocC9srqn=MncCPWXURk&
z%e0j4JuChQvcAv!0R<J6oTjGc{Mwr0ty{OgxNRAvShYu4$ssdCLkUK!9I~3;qy9q|
zCn?Eb5*(TN>w`f5;m+KV&;h4ah0bWbxA1pU9w>X{8<bR6SJ!DFQS2t)=M0m_dU}O!
zN_EtBszV*Y?ZtLsrFZ;al??$@Q$N+zbk+9VT~toNd1_$LrJB7lS@*%;-@m44=>D#n
zj!u5LLBT*D@GVv@u99x2{$opWGWx1|bI|pQ37n6iYm|8Qx<R(B__U8DWt1Jnrw5GR
zfN(hfUDu`&u%%5A@#vdBF^N!&DW^Pptgh}~VKp>6@XYWL@V4qPV?3<#Zk@f5=;*7E
zfWId2ctb^EUYZ71-@uSEOt(**rx~G0({1DqrsC_MMW@`(%x*6{N<Voj{NtJq$E|Yq
z2IEZwylYW&UGHo0bFOCgEw_AnaNINQO_1_fyfvn`VxCodcr+6mK|{lRswFsNyO|mo
zRyWMcsC%;$mz%h;bgKTPQXuX~U?}Nj30#RQWIlGAK7kSXI*A?sWSPFO!od|BMj-H6
zU+55z(KRP6c4yK%0*^!T^Si%89qOZbum*ooCfaqS21ekHpae-`Y13D}<fq^ue+|Yo
zmMIclJCr6Iu_xESi5Yi_%YRCg8%SE5QG0U#4Bgei(kQ=;jUQS&E>Zf{fq++9(I4$^
zO&GXvNzJX&oTJpM@x+6mRFR13)x-E?6s;{zX^)fhSR1X3mr!&8&2U#>WJ+wLQmgT0
zK`Nm~F?d=J?CC^lwPGS8TL`1}(1{2lY)xWQ#j7~37RD$mpY-01jjEv3=zH2)jow>N
zXirp`BLm?H<i?`ZuxYSZh3g5_dM6B@xETz6vcW$o&|YjRTcx1WcL|GnUwbvf<mJDe
zwf|wY{r`D@dj;RS#Gp<nd9I2nXB=%LJJ^Ci=*2a6rX=1V<Cv(lOZzTnFx00JBzzM<
zP-5LIru@Dej+qmrcHEYUg#Y^VG&gCjF<#zl0-jo#|K=8Aj$kZd#^G5|Q$v%hn%18A
z=<3vk{fCs4NO0P~43pqYXc-&3Y0@4sW2dUD9HgE%pOCG7H%BSS|8bVg%5Mux%VzP5
zBh~R57a|T04tpo3mXGpr+&-u7J|Dmuk;qox`RVHF3gGG&0@|VI)xpS!Q@3acqjd22
zP-3KoT1xCq8XEh}@rO>84pWmJOLTg5o)tr5xj8wr9kERI_V$et)Vw|8;}MC8RHkNT
zf5wtUUr~Zg1P=nfzyfN*r}y#$>uz^U<LOi5p<?|i`x$Hyh1}l9&Yv{cPS3V{(Uns^
zKkeL(_bi~VN-)=)Y#TQC(9!!GGJ-CaL<yaIgC+<%yvFMaf52+QxVDwmy-)(4q{5#z
z%F4=AJf;MK#dZye*0#36N-S%R;z%i=RMs{&wRLHl1&^$(tSVooZ(0InmCWkht0~#r
zb7t2nMZA9f`cx=SBMg4*Oc72n6aZFq2_Jv==gY3-Cg^Tu?mN$chR}+*lai2-xNlSp
z8CiH7WLzO8ZZ(M(4fa0y+w}7%QEF-`0%2%qc<Ium?F!q8njq+Qm=+0E&*?EWubI(c
zp?2M^@M_{3hRVuHCTO8c-Dx4vX6L`h?fm)4C5?<_5ErMHjiP<6o);*`?BCEJ{*GPS
zzp6@*n40GjSN$Q<ueJ$8H9&@QyR2#e3!I*A3IJaNoRW613&<!b@uKFoH!7!Qeb1MC
zAr{1ND&QO~@HT+w50{zX8@SKlCX0BGLkd8s8?8#}@bWbBD;I%`_Y4n*Vmb^D4>=YV
z*5UcdR%}{YG!RfMzb+m!$s*0H{CtHaL6M!-YeES)6FZP83fWTL-lA;x?mY(gghTi1
zHsj{>+FE#;&+%n|Zm*cFh0V<<NWYo1i_=_{7<!5T&JGCFv>*w_rB-|V7#bMK^zXbU
z1VltFZ?4@TrKAkD=+DXcx3vwX)eJmcVBn?G^Mi&EU?`y0fmd)l%%Z+jRLsmpi?<hQ
zmvh@qihy<X?c)3d($Fs<;fBxg%AM2w65k+TQa-0UvdnkxFbN6KG)}w>x+!351iAO=
z)2Bu>y>A4x2;)EV-#x7$V%On!tv}-L&1`I3K|q1@KQwVOSQI2t6+2?CKl`gYzqDj>
zdbqQ_w}*-Q;KKW-c^Xm~RVS%ef}~zUl43!_^oNeyl`2Z4sHhl0`|$JF+$!7vctHVZ
z1I~oG)1zIXwethtiyM)VkwR;FdV1V8qhC^Q{lMZ|_9sT{E_H`gRPaGfU~cjB)GIJJ
z7|F&)2%S=mEgs{FWoO@JV`Jk6MbwH$XQihjCMPF5e*J2LD`cb$-zo7uBch4KYiep@
zKx*mgwsd!2_3-eB`MIE$ry=OHNDLRcv)8Y>CgOtA*c?Q}7%RsOu8+IBdpbz38(apz
zb<1mWfzH^8{hr_m2@am!LDS2+y7Ctr)M2VaOIzEx$sadS^c8=@#KDwrG$zmpBV%JM
z0Re$RtukyxPhTH4lv!PZu4RSJ(s89QlT5^P$p>Kw4@j-G!kbE5e}td{#zsbrhf9r5
z{{VD2%rwI&B_#X?7m}Cv8ZFv*z9aTj@<w=DBEJodqm$Epz^M6!1>^nI0mNo%HI#p;
z_laxDSp?O6Y`7V%YRB8YEUqptkF>O?0PdRYhK_2q*(s&7dZ`LWp22m16J_t<(1by=
zrPNm>kbsAaAMCal5)7Y%%T6Wa%<5Mwu5oal?qcugC<PV+xL&Q#9TLWTL2A||T&IHs
zpV{0jE|1b@I(P!V9~~P5T7iXN<=_YcVFU8W{?EMp=>nJUOq$q~*RJxp50L8NS~o6V
zmUllF5Qv*MZ$dasmby|-NAk<c$lx7)Dk%v8Z}s%_6jOJ+FS{5R8L_UhC{3@qinX{T
z_X063Xl|DB+Uu1)oDR4O7B3cJaBvXpKuH-HJWDI9BZiwiVD*N!JwH9&?G}3JFuiFl
zqpW-dFeCHe9F7g}GUVZK#6YdlZ`U|+!;(%l4dA%r=g)w&G<r)*OKwmO#Pnjch?s-~
z{2-~OkTn?p1Ob$Qo|@j;>c(F$L*J5ia^meu6TgaVP7!u11-}f;sjR9hsx+@Zm%-aM
zGBF9be2r!AaBu91^7LlE4*+t5H|Pc5vAUnoi<-844uqllvg+zm#PO1nl42CHp|aKn
z9Lmeenx3eN29-3N)4-JEv{3%hBiz~9S#H~LL8VlYq^WxFi(On?K$1T)HfEgkKG4UI
zbXHcmTw4HjVCA)5`!6)j7>H|lG4mQsiehRI3d{X;2Ynv~DUei<w5LbizQKS4w>;*_
zI^XjV8Ty{_%{x8>&Afd$7d;1+b2vwT(J=&Uol3J%>os(!IiRe-!2JM$Q$1JjVx&@b
zHX{Itt*x!Ot!+CI*SDUHCr&SeEwLNFSoC8YRr3clhbJc(Q=-a!2MJL{NW9c$i=T~u
zX3zxVmr~aa9YH}si9C(xklmOT;<=t(-qWLofp+jb4%f@OVQ7cJHt2>R?w3VsX@y;h
z(NT0b2thETp~1j-h8?U_XUm+A9~o}n&i+|{{wJZqxtjQXF4hrI?D@B5FdhQ{B(1HT
zr(z7AJi$p)YHyhS1a2fq^(F^e9v&VDb;$nOkXzmmjOfC`2!}^Un<pnz4OLN}3JU{u
zirS$bPaX&qm9QXugtjJcs2;-*4~7>|zY#Qi`Knl(#hNc(+y;F;K0aQfgue0x*oX0H
zkeu)E$cRhrWN&ZTPuE|+egV8nczV`Mt~Ev_g}id0MH?3H#n-==m@*s*M<Fo>8X2iJ
ztQ*(;IWVwaza}DwH^JxVi?O_6vP3{g=pP*&4cxoas3$e{1aoD>-#p5z$Ba7VNP&AB
z|9h4ih*d394;GTdday_66}cGvS*I&__sAzwt}cGD<aKN2J}@3|`@+0R!NKoFFLft$
zrBX6ddfv`%N{+|rj=x!-;bZZ2<dg53Z2s7^J+`<@-2qiXP6x~y)`QJ~rbu>d25d>w
zkzm~av_bu9ee0XBE`2j!biEXbq2Kp%JG6`1Z0t|JON~vERCcE=uyu|mN|f<_e)H)v
z87;m|?o%B_vgZHb*$f{DWVJGGYdPz@kj$Lo<fF<mNuXre4xwKmQwg}ae0~@uyiM$8
zlKzTZ2#igv$HK_Qj9PKaC)b7-g6@_wd_a&HT*|0zcuMZn_!DQcN7@f}q$9JQi5}sI
z^TECN6knP4lg}+m_70gGTqJ_ZGbCoTnVbw~pu5E%cO)@XFsg+xee7o#$#YUo|IoS~
zek7$Slg^o_8G;HcJ!LL^QSj44i59H)Q7;f12tD7iclXKvZVE724n3#xt3&jx;Do1M
zLXi6W9(l)2OuU<}1(ds3=n>0_5&0sgt3}hl9P0lE)@N~=3cx4fW6UnVztq<MYPL3e
z`xaWu$h6BL3Atr>rQYU09>s<n6gpA0-<uZPv{qA78#()3wZ(AlF#_!%yIC2fCVH=a
zd(3TIq@158l&n`Baj@T8D|3>*1;!~&0mUxq_s-4-3UscK|90U2$N6y1FV?S9QX)Ay
zNnpx?Q)g9vvRY6Q^Y(3EO^pyt&W+Dck1$Ql_XOxwx*F@@3te4Z4C8!~qXd@LlP3YH
z;%5|qeo&(UATYrV*q)D5{WJFMXz_!&rR8h_u)#Ml9KCdD`FwMA(%bcKm+)3&R~HF@
zRU;Tl5g6>Xj39q=iRcFBx`VC>%{H$i21n=S@I5PKmi|54x4SUB*f(@P+aJ0QBj`fC
zYH|Qpm_IhAioQCu5rd(eUcDFfyLazOzkF#e(yb(=rH$aT8r&WmuX4cY&s9aoGRcyX
zlKR~+^df`q>AslsvJ{*~pIYFi6ciMVeSPG#=$XBhegYDbb{Ldq3|PAS^?<hifRE4R
zD0Aw3=x4*l*%m81`}%-j`RC7|BB~AO6C{~LMMXuJm;yXuI1>(JC^Ym_eSPZc>T1n|
zN`@NvXd5mQB%suP1Iu~g4er`Ry|?bx8BAXX1_%GvEMf-k92`YM-e86H0+n<gv>E#v
z3E<waJ~Ja(R#ql7*4ozA8^b7#d0v=YtEQ;{H~Kv~nqNKvXCgqPJah^U4TXX23NUG*
zv1D=IR1}izHVez@Ixi<@m(dnnit}vi<$y6b3iyy1Ufl;%`zy9%+R%on=Y|f<s$~Yv
zAB2X5VW=PYk7f2VQUI5TM(`}B7Zz~A83NN0_Bw7MN=?6$7aG**<OUZM+^au7wn9k2
zT$4p9(GOMv8hd-mbSrHax>>=tLIYQ4O!x`DS}?3gAl$f|K*j6;8*BOg{W2^dz*LeF
zW`V?mz~y;>p6mbxnA`0Z$47hv;}F8I2o|mq%G}1L4dC7-ss*CrFx`k1fM#Q0Kmb5j
zd7toe>Q(sxdd|RPJphI59pMxaq2)E}Y=jy4{@|b8-4={8nYuWe!aEqb0h<l>E-pbS
zDRgF?iLd+m)UyUQiOMfk!@3A9I-{_V7{rpKfx#``Uoen1vmX0;1r!IS7s41jdVE|D
z%sQrjc~^*-)KrWoC~~r14z$*NvwEr2ycY>wMh|Q?_!zFVqbDRHf_ZiL&jc>%3^gM#
zbB96rOesR=?@E3c055;KW_ZyIXLA7N6~M=3@Qna&85~Wcg&*+<1elS5fq~mD!dy<Y
zn1*Kpls{3(g)K8H3-cf3n8{&Cx=MQ!h&xPX!H%8*k50<j`2i3}Y_Kd1eU5OUs^VCb
zSN~QWA04?I8CO43QzM1Zbx!#v{ly`^>-uoUt_y55+@eRrwga^6>HQ%?Sr-?+^Fy@w
z><7F0l^vfPqp#ZG;DNP3Y(Zse)i~en>+4I0O&cJeNVsmy9l37MfB_H6hLnbe5GL}#
zSr8KH>g1FhI+sAdy?sjo>bOw1k_2@L9AkJPj0cDc1oL}+tnw;h5H@TCc|~FnsPyaC
z;F1z9u)P87j7rVi7Jq#RxpI?#S>I<V#myePy>HviL>*mS?Jy~xhTH=9`J%`LL;dZY
zohEoJU4!kY+!`bu81Ib^dX=JJEG+9?xT3*X0FPg2P3U6V+3V@kr__Zw<DyB>^Jlt!
z&v}DM=)$hw(`-bebI~VB&3@fFh{pfAiGb0xa?DZ+3WS)g0H9M!?;pGoUj~a5NWTmm
z)juG>;q=gf_Mzi}vfHCak031)1syWGe4sWEs;a8ALe2#AUfWm@J`iV-8)KCwphHew
zF&5$hPZBX({12mF^+1XPU=1lNS}d$`(v!%pZl4l>CICEzo4&{WY1>dEEdvAB8z&fG
zb7^g2&|^MUR!v*`&ETM>Ty`I4<pnHS>33}()Idal!8s4s?e!@Nak0KCs69J6IXS3~
zx}UfZq4)G@n;{a>2%A3`G@V~ud=9HX7)4<ZPEN9*12)j~Q&-4bG$`6_(5O-@aXVX8
zPOh%O{}KyeT82Re!xE8Ecd96+63x1j-+=hb`uv$31Zms7l5hTyQ}xAids{6%4*E8q
z%nVb&O(`xeHn+B(A9^S#Xaw^fnA@@5Tbs~z06&NXGDSLs#HD)Ucz><RW$j&)MG2U;
zUPlWFiDKTKY3Lq05FvWij*njI8yKWMwmgU*F<5VFZ^uS(>emFqt_r*ESK_v|w$jSV
z5Is(O1g*FaEkwer3M^wBcydT1a0dRlIt|-kk)xwJ%*@Pwp=#ik#>9{^v#=mx_6C}$
z%4vxNmIX-3$@}K|?Ns@&B-kl;xd^eQf!ZBHZ>-V(yT9L7YTQz4(a&;@UsYE}hfxyN
z*4Cch@7x?6n_)Mi6t)8388eHDt{@<f{cbD1GlH3$Q1=691z_^Zf+-9VJ6yZmtO?K%
zHX-s=Ci3&yU?}H$wEF2PqS9_^)A0nf_Rd;K1M=?O%c#K4P9+G`UrY7?72lkx_6TZe
z@Zd31KxAwvl8H$^TRm2%C<o@3F>!I%s%vYXpiq~Jw9A8G(v(+N7!eu@nRgkXU+4KW
z*A@mk+Pb>^pB`t)u~YVgUyxT+6bU^E7Z2|r&>2U^$Nz+c;BQRSCWMCCj#o({oO3>d
zWplW~<o&<yI&A8nA1$SQ|M@c<pdj+5Kom3*3qZP4XX?iX{dNa^mKA&8pY=d1>u7HF
zhk{dpHH-7@5OEkS5;b5J2C=3apfSl_?9g9G!aj)5KG+D(U)N4u&QCp%HLz?rv4M+=
z`^9NV1=c$-D;&`xe+VAQ$h?1Xyivc;*O3w*AO9ExV#2<F-Q@42ehx0KrKPuSTa(JL
z^Efg1gf0GUN{TYfy@b|a^+LbeG3d{qKgS{%t<XDh^rAv%Voir8G8hn2=4E$k_Tu8A
z*nY2m5x5vN&=C_JF1*%!`t%X3YOzGh^e>$dB0Ibv>*^|E{?=ixz4v?E9p!p)Gb53n
z2GW&iSYj*Gucd_8vVkD~H9^ALk@(`cNZiZID<&nyW|Kcra`p8?Cf*3f|0HEbU##Zg
zwM^olCyLc>F@&Qs)sYJM#l`$G;+@if_eo22Y5!X5BxW+YpkJZve(b?)R1K@A2>C}U
KsA4H2|NjG7+68+6

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html
new file mode 100644
index 0000000..6e68e07
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html
@@ -0,0 +1,176 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::SPODELd Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>commonFit</b>(const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;SPODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>SPODE</b>(int root) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>SPODELd</b>(int root) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~SPODE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~SPODELd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html
new file mode 100644
index 0000000..a087449
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html
@@ -0,0 +1,518 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::SPODELd Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
+<a href="classbayesnet_1_1_s_p_o_d_e_ld-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::SPODELd Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::SPODELd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_ld_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_s_p_o_d_e_ld_inherit__map" id="abayesnet_1_1_s_p_o_d_e_ld_inherit__map">
+<area shape="rect" title=" " alt="" coords="95,226,238,252"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="24,153,154,178"/>
+<area shape="poly" title=" " alt="" coords="115,187,155,224,152,228,112,191"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="178,153,312,178"/>
+<area shape="poly" title=" " alt="" coords="222,191,181,228,178,224,219,187"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::SPODELd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_ld_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_s_p_o_d_e_ld_coll__map" id="abayesnet_1_1_s_p_o_d_e_ld_coll__map">
+<area shape="rect" title=" " alt="" coords="181,241,325,267"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="111,168,240,193"/>
+<area shape="poly" title=" " alt="" coords="202,202,242,239,238,243,198,206"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="265,168,398,193"/>
+<area shape="poly" title=" " alt="" coords="309,206,268,243,264,239,306,202"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a5e32cfd49178cb1e4e78644a3a539b87" id="r_a5e32cfd49178cb1e4e78644a3a539b87"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5e32cfd49178cb1e4e78644a3a539b87">SPODELd</a> (int root)</td></tr>
+<tr class="separator:a5e32cfd49178cb1e4e78644a3a539b87"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae7748b09aea0bbaa4ff27e8b003795dc" id="r_ae7748b09aea0bbaa4ff27e8b003795dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae7748b09aea0bbaa4ff27e8b003795dc">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:ae7748b09aea0bbaa4ff27e8b003795dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a396fb1a36114348816d9fdc79c399103" id="r_a396fb1a36114348816d9fdc79c399103"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a396fb1a36114348816d9fdc79c399103">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a396fb1a36114348816d9fdc79c399103"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a756075ee3ca7cc1471f1302fafc570a0" id="r_a756075ee3ca7cc1471f1302fafc570a0"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a756075ee3ca7cc1471f1302fafc570a0">commonFit</a> (const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
+<tr class="separator:a756075ee3ca7cc1471f1302fafc570a0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a42add37066ca27821168a394cb11b1cd" id="r_a42add37066ca27821168a394cb11b1cd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a42add37066ca27821168a394cb11b1cd">graph</a> (const std::string &amp;name=&quot;SPODE&quot;) const override</td></tr>
+<tr class="separator:a42add37066ca27821168a394cb11b1cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a338a6e74fc8a8a96e698f56e0543f63e" id="r_a338a6e74fc8a8a96e698f56e0543f63e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a338a6e74fc8a8a96e698f56e0543f63e">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a338a6e74fc8a8a96e698f56e0543f63e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_s_p_o_d_e"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_s_p_o_d_e')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td></tr>
+<tr class="memitem:a08349c93ad92057751a20929ef3a04a4 inherit pub_methods_classbayesnet_1_1_s_p_o_d_e" id="r_a08349c93ad92057751a20929ef3a04a4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html#a08349c93ad92057751a20929ef3a04a4">SPODE</a> (int root)</td></tr>
+<tr class="separator:a08349c93ad92057751a20929ef3a04a4 inherit pub_methods_classbayesnet_1_1_s_p_o_d_e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
+<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-static-methods" name="pub-static-methods"></a>
+Static Public Member Functions</h2></td></tr>
+<tr class="memitem:a75366990899838be743e1dc5a5a8c4d7" id="r_a75366990899838be743e1dc5a5a8c4d7"><td class="memItemLeft" align="right" valign="top">static std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a75366990899838be743e1dc5a5a8c4d7">version</a> ()</td></tr>
+<tr class="separator:a75366990899838be743e1dc5a5a8c4d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_s_p_o_d_e"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_s_p_o_d_e')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td></tr>
+<tr class="memitem:a891c56c0a059cccf2f29d476b0880882 inherit pro_methods_classbayesnet_1_1_s_p_o_d_e" id="r_a891c56c0a059cccf2f29d476b0880882"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html#a891c56c0a059cccf2f29d476b0880882">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a891c56c0a059cccf2f29d476b0880882 inherit pro_methods_classbayesnet_1_1_s_p_o_d_e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
+<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
+<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
+<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
+<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8h_source.html#l00013">13</a> of file <a class="el" href="_s_p_o_d_e_ld_8h_source.html">SPODELd.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a5e32cfd49178cb1e4e78644a3a539b87" name="a5e32cfd49178cb1e4e78644a3a539b87"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5e32cfd49178cb1e4e78644a3a539b87">&#9670;&#160;</a></span>SPODELd()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::SPODELd::SPODELd </td>
+          <td>(</td>
+          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>root</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a756075ee3ca7cc1471f1302fafc570a0" name="a756075ee3ca7cc1471f1302fafc570a0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a756075ee3ca7cc1471f1302fafc570a0">&#9670;&#160;</a></span>commonFit()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp; bayesnet::SPODELd::commonFit </td>
+          <td>(</td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00029">29</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a396fb1a36114348816d9fdc79c399103" name="a396fb1a36114348816d9fdc79c399103"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a396fb1a36114348816d9fdc79c399103">&#9670;&#160;</a></span>fit() <span class="overload">[1/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp; bayesnet::SPODELd::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00019">19</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="ae7748b09aea0bbaa4ff27e8b003795dc" name="ae7748b09aea0bbaa4ff27e8b003795dc"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae7748b09aea0bbaa4ff27e8b003795dc">&#9670;&#160;</a></span>fit() <span class="overload">[2/2]</span></h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp; bayesnet::SPODELd::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00011">11</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a42add37066ca27821168a394cb11b1cd" name="a42add37066ca27821168a394cb11b1cd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a42add37066ca27821168a394cb11b1cd">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::SPODELd::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;SPODE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00046">46</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a338a6e74fc8a8a96e698f56e0543f63e" name="a338a6e74fc8a8a96e698f56e0543f63e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a338a6e74fc8a8a96e698f56e0543f63e">&#9670;&#160;</a></span>predict()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::SPODELd::predict </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00041">41</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a75366990899838be743e1dc5a5a8c4d7" name="a75366990899838be743e1dc5a5a8c4d7"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a75366990899838be743e1dc5a5a8c4d7">&#9670;&#160;</a></span>version()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">static std::string bayesnet::SPODELd::version </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8h_source.html#l00022">22</a> of file <a class="el" href="_s_p_o_d_e_ld_8h_source.html">SPODELd.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_ld_8h_source.html">SPODELd.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map
new file mode 100644
index 0000000..9ca9e5f
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::SPODELd" name="bayesnet::SPODELd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="181,241,325,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="111,168,240,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="202,202,242,239,238,243,198,206"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="265,168,398,193"/>
+<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="309,206,268,243,264,239,306,202"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5
new file mode 100644
index 0000000..a37512c
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5
@@ -0,0 +1 @@
+53a8a1ce38ea1de9807975652116ea2e
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..4de1b0f30cfe718af658d6b643e0f75701b07430
GIT binary patch
literal 17423
zcmc({Wk8l~*DiPgl9B>~NJuwQ0+Q0w9nxVS4boBy0+LFHw4i{bbV(y6AT3HMND4^z
zUiTY&@A>BaX3wt~9(|OXE6!NwisLwzFE!N_3Gk@!5CkDmx+|xRAZYRMn-~WRK1urZ
z+!6l3vQkl$LoQJNWi`EvLy#MYlAN@z*PHbp-iCT($Jkq&qW#2dYzx#OArE3P@^7Qv
z!;AO0wP-uu#PQypyJ~H){$3(MjcS7_=SR(9{<_rEg#73EuVPce@*h0rV1JI0)zANC
z{^X=x<XNxfR?9;#sloQ0vUgRpRbNC;B%YS~?V|+~%iz%eum5#ajaCUPEG&GBTQ8O8
zmC=2nZR@0|scGvF-()vYQud9_Ku}dQ{g1tc#oU2W_ps)qnOM;MfV|O1Mwb}n^j@8E
z2D(>iRqy&~UF{)2x@>3^WnD~V*vTm=4MQz)v~F#0Z&x+Ph;25K78_L+?wy4lZ!8bz
ze*XM<NHh{l{+&AlgQ3D!VuL?E$Xp4Bu@$`vW(X#3<6z2$VV2?j^G6H$q`d_?@3z)I
z4jM5gVzuArw_NH^Sv)s;x=|%smq(89nAQhVnER5@)6?VN;Ivde9&ujkzqa%D%^T|e
zH@8V&ym(Pnanaweiu$Irvl9s%d8c9h=X;&uCx40kjp<PNh^u40{%dLZlLu%P;~(xF
zF6YLSq<wlgK;^rC@9dCj@Wo|{)L(YFRcY#M6g(y^g?dFFNFws<-Pb~DYil`*?f6r+
z{xobZe9cp-T}(8d`}HfBQ8D@k8{2Y-lc1fb&n}zK{`$)w4W8B=VI-8dY{~qO7Af4;
z#t9UosnL*MzkmPy;W>MYZmYPsww6*!Nr^W_6$uOr!(n1!S=gU;QhfN3C7MP|pYx>H
zDb;EgJMduUDbYy2T04={sixyO%wT&!cy_c`vS{t^V&CCh5Rq-MuZy*Q)31cIw1_uv
z-dyKta9g=@SHGcuecgWNSrJ!UPw-_59^KmXVH-IQ508YtM&BcTWo6|;a$_$q5wn0Z
z_r{~8G}Q7aL{YsU=hQc;F_U*M{Xi%jzC(9$h>e=g;h~rK(XY5<K5HznprHm&r_-Ix
zi%Lo-wT0T@3XhF%mV+4*&aSTL$lLsUtA&o2wI_cXwufYie()CP?~0<|(b6Ib4-e<+
zGMl|s)g16U-P3Ayw1AfqKcU2~*e{XcrNE;vx?Wgjy1Ke{bos##^p)7Kg3w4vNVfj|
zecsR@h8o%FsV{QJ-kz)8V*}6J+}z9CJB7%{x+}8vS5I7D!f?LYb>H)&-$-B(Hqk;!
z!ylRHYKP$*`OE$3ViTwNzI$T^!v#95hsVb`rVSo<@7_h6_pSt|rCq;z(+pojL!;7W
z7(ED!K*rIrq?7;Y?((w;ikl1bp>$o{bOHE?VXZTL2>vyz=*@2{*N4~kYB#E<`$x#f
zerVHhb$ahEYpu^TUEf(62vRpV&ogfFx%F@$)xEvemP%2+&;R1gQ_yLK`snBgWw1SQ
ztbE>o?>Fvz5j)%+(b#UmAksBTdh+{A>+moMr$LEagU80|x@&gTt+D2dZ+4~h5)wZa
z76%Id2#APK-u!gRkIeNZa5}rYcfPs(q<_(Ec?fOR?|=re=u6~=)smTQ_8V^We$t=J
zhoO+WU4I^*oNUOGSoh?2j&Y6ST@{t0-ad{G4<<@XEnQq(J`@HAUqZK#le;7!AdvFv
z)g31%r!VPZNla5k1~*Gg8xmRKUOs;O*v;MjfwuOQiDF|#A|j&1`1n^$*4EZ5OG{mC
zZ8A%Xi{)x*LcS|`Nrsx5EwGbiI`7mYBO_s7SXci1`2uzbw>Y1l9<9%Ql2ZB$pI>Sz
zE8|`I{ab*K@3onk*(odpccM~kv2o2qRn^EkGd?~(-;<3RCz0ZbHQd0T-7&vmvWMTF
z3~s}g<R>Lj#8BV1n#s?pH!cjy6A`wbypyi}$nj%1Sl<=oV?~86wW8j)+c$5<Fs-bu
z^}(veGS&GWx$dt`lzy#`?-H?SLAp9R%HT`+jGKoiy6On&uB{a@YxF8tE*I=<)`+dH
zu8xd|_<6jywz9C$20kQ?iB&bZB`hpV+5E)rpw6Ndosdc}jOhqY<IvPpir>jTv(h=t
z!+xgm_MVS~j*iaCuU{PlX~J<#BVWHxg6%cKnV8sn2ln|DZeThp4LFOane`WgON(~v
z6OWI6XI`VAsA;Y~Hj2|6366d9#y;Z!=3K6kDJe)5CGN3Ksm4Nj)2#6`47J*RDt35y
zn2U?+ZCYAdosL?DcnT@2I+Id~SyL*vQKf~x{?(nGos`VX!P`%koF~gH#a$LIZES4R
zInT>vh<QfC&dSTnGhO)VBzQQ-Qr~uEGWVLtjCf!+-O8zxs!8j&t0j4Hx^p`5>AdsP
z*@lz-SRwg4jZF2}t80!0goz80(b4%IKML&mG<6>Kvc#u$X(f1+aAg}7syvQt@Z2oX
zPD?6`!Odge^ZPp(EECJ95IHAHBq3MfD^u`AGT{8^k*J6Wtp6*p{KXIVJ}%GAwS50>
z!edk!W@%~3)B_8XHZwD`Xq6)Hh!6t<qjXI}F@`n|-uP%RL(Raz0OnBAyT{3ln|J)d
zwWr8ox_WuEAkO>S;2_bpYuAQW+zwZZO6N8<qMH3qtiTbJm6xL-BBG*JyUW9{8W{Lk
z7|n+Zm&Nxdt&zZAzwU!)&V73DXZc$dCwQ1}y&`>S_7`v#e#U7?wu1K`Dlrv1JUX&m
z8!uj5U_Y^tVr6BGkB>Lx`k2q6kr638<AveWe8eJo^ox{<i3$9&<Q*fU)XslesGpyo
z%VICN@5R}k#>n|b&Ft3kTB*5badW<lZeBX4PJ+<pOw-e<-VaWxwzD_)TCwTorky_B
zGB4rOOZW4D-~or^5KNz#jxOfY>Eca@tk_qsTq%3<TRk`=1ijWr*b>ftpTio=cjxzD
z+Pl8}ci>Abzz1q7kF63Q3mW8-4z;3RM@F(I)+`@A!bT3ayXl6@tre-oy@+8C<gKh2
zPESt}L{d_6X@mCZI$!XM7xS+bX`jW##U0^xLr{Mn8j7v0t=&(<D<MIHiHRu^a4wET
zNF7#g-Oa$ri1GUMYp;cuti;sR_B=J~hcYW@<Ju|X+Q$#o)z!N?BPcjOG~|gIhJS>W
zMR~9BVq-p=p)A)Evq~FOY$$o!ZsbG2)%iL--Sn}TL7s$d!$8&e=!yTy{>JuZz{Pbq
zgNmR0&*tXmwQ~JJLP8jXgsw_moC^G@`%U{j;Nonu?g{Ju`c%+jUlImlRBiuK;^}_;
zbV+5CQ^(8<?bH4B)_0ly;nxHnS}YG`+e}p~s!iO}?Y9m3n-}yXl!&gYE9yF*$GRan
z8mvEm{%q~-VIscUofLP~)rCBF0|WnIJCH9>O8GY)4e+`xYu<nGfL>ITis^N1?DL@^
z%@3vxS0SEL@>yNtF>gl26xbSluLI3{iM^K)F)^_ngauijt|77;|4`seh4Az9ze-FD
zsjL*V|4~m4flL}qiw`_ggnNxHwu(!AZLLM?b4<gE`?x}m-*KAEVq#;jd@!lIqNSyk
z3}@PXujDcHEr;K$mEP7vx+nhkAWM)%E!JX^`M6hRc6K%@wVB)8BzpSvDgHJ7OMOW<
z6_a>O`{_n$eYd1hK6kRwTOhE=Gu&aS0@J!Xy2;W6+@1|Muza<&5M!q%a)F2a?<<Rg
z6UOf2FOC~KJ+QH1YiewKKe8g?f9eHJU9)sT;Kq%>jEs!k{r#m{m!BdJddaFEk93LO
z*@q173KBynWmfWidD#YLQzjcqSo!he&tP0qLlYC#pw<>N46LD<nT+%E^WE+3dB~`g
z&b?{scI)|-qOS`_e|$7pZOEb|xzjJ;=IXkzI##4))+F?_o5nM_k6p}EG(>y9^g&-D
zJ}&P3OH$VUHC^2UR2pFz+Pff_qKb<6;DO~}@+eOOR`<QkGRXU+!kX<?R4&Jc$rNRH
zUcJfFpLg`eYWU*w#}9h`TC?R5(n+cs8yoLXD!U(m^VGn`#%|v3y3W*-lfxi-`!;HE
zd1^8tNBlZIo(N~f?a7m$qXjwx82b-SbXF*p3pzUFzD-U#Lo`lkF3G!(--%b4rrE2k
zrq(o{wtX-gaMN=RqHu1{eFmlGi}MqFJiK~K?>x_<Hxf^)zx&4ZbeIR6C4>^v@F(f$
zktZm9^+l@l!&lAjL874)3)!u>?;)>7x~N{B(0e6n;gK(61uE{N?}D`xchBmlAA#3D
z*qj}N{MRnnkY0&R-&p`RPqd<<qSkZM%wy&2i!>nzNX}n&WjC|LufA%Y<-IFYAUQxw
zm;y$;GV<<c!MlvMt@-vUJlQZ&RzGt=ef_$=A{OurB_~2f#A?rW{e}&Dey+VBmN9(6
zL<Z%BK0U5H<nMaAA|bBeTI(Za!+aQT-697kY!pf_sJ|bPlw(_>!Um-UR}aD8kgw{g
z1rH*sId&?v-=D|W2%@2C4(_X;vdd}ihO1B4PE}cCM-?fRx^oc_^sLdnVdZe!(Fi5g
z7iJF;KvUJj+i@_O3s5;rpvIA_lHZpcGSC`8(~Dpa^&uD)r5!$0k|_wyx6l7LO!x@R
z>(2ZehMCVjo#A_yg&zJ)W`Z1jKFmL`^Oj=qFClpX5+X-;GFK%yjKZj11#4@(=-#@G
z>_{V`l+wQtL(Thbp~KmQE~arL!ckd9<2ysnd52e?%^(C>U$DZZ)Fda1LZ8R>y~`Pg
zSH3$Z={63Jc#W5JZ$%uFGAm0MtxpxJ@n}1!aDnbBg<6}q=0yEOE4F*fCtME$O$9^<
z$wE@e6xG!JUR1<d{iFKXn|y27{DINzSCy~^+p=`>dt#-zjf8ex2SV)#9~;w}-2L18
zoz?{c13J1hEYFn_PN)KLTMC|FKXp&X)@z!jA<hY5${w}W@hD5_3DZTd(Jc!%V`oF`
z)L0su8RTe6`wr!P7%zHG=6zPDL!0x~_AV^ioL`&m)@8{%T>cf*BvrI?Lq3k#-2Ov%
zqGXmU(un;c{LkMCMoX22Qsw!iEy|MgvKPf`{0dsaIE8slMB?W5c6Twh=rp|xiZ*Aj
zvygIRI4(W0l}*RyNEK9K+j}z{EPo?1;lo30Ow61PF_IPcE6MM5@WR7aMOuyHl^z}W
z6(KZZoR(|t9BaZdh6zmZK8_FG_abE-ZTIl9EH0JN3low49*A38j2eUC33I&X<wzyt
zIQ`0ro1b^9@5nqIi}eyywjhoI<JITnw09!$4s(JeXie$ze~~_B6h5-pjLJIZ#MK{S
zejhlo)QNp<RaA%`u1Dyk-t!O}V#Q0T%#UdlC|t*wNu_xE3;8N1LgiqE?5&NR@bx|-
zM_(C;pphD8;U6AVl6idN{nj|0r<-Xy3%mxeg)oS~Be;8umY|)~ovGpg?KgvQI}2Mi
z`WP4S>CRt@DCC^Rqtf_gzH~T?$`xgda@S;0J9J4cJS;>3F?Vxrp?pM2OaBVFp&zUK
zv$}V)EF$Nas>M{7ntxHV)bst%pKp(U-q(9D)v(AjA*w#?1_QWbALTV7$HwM6HB9nz
z36s73B)d@LCPhr(B!<OFhvEL1sJf+J(J5gA*%aj`tRb~`0t6|kzb;4-RWLC+vI~V(
zRoypIe3I|){?wEwWx>ruyGK>1&Te6a{WOwW>|uqZYQnE2OTj=VcRBkG{rwSMRm%rU
z_jA17sXwB+;*vEu_#jE+_M{k<=!hX}(+@?XPPR)oX5*c7yFTPLrClFK!_j5AbdyN$
zq%vCRdn3{Dx|74BGE>>~m7W5n^X|%M#jx<ZGLP?{-{r_e^J=-@7Q`t#R%6u76l_BU
zTO#uyE}VhZh&E@TDq0B#b%-Co&8N;vU%4X5$fp|{PMpK@Im?%^YSet?i7RhN3k!#@
z1bc||Kkoky_gk&C$MeBrU>qu=nJaeul`OWtLT>!^EbOGWMMSaqCvi?bT;+<oN|+)*
zr-On?NJYCKGjX<IqJ3QbB8vXq)QM3ygPa<?7=1jH-CCXYobW{ylTfJBPhxmhfDt@P
zEP}=gt+KNGR&#;7xXfrgQ#^~6Uo!vFk_9@Mkc{QXTgsVIchv=3{_>9_POL+{<6UHe
z?ByC2<9xVUI<83uqyi6V9KL@q(`Jvv+S>YSX&XAucT11chjv$x%^xExg?|!DP15yX
z6K2&h@GAK0rKo#~X%8I@rRPdTUkvw!6qHs)7Ze;ZrmSC@(@*MQl9cp+qg^O+<A#N`
z{M!0td2UK^@dhU$A>klIfKO#S3s<6oO#a$F|HpiISe_Z$F$e{ByVk;6Zz*)*B5xcV
zB7;^B`|sa)e00wVyzte$(a41btI&EpWkJGN&D8gMmc5hn*sADdSh2dRCLOJ2PHWWR
zn<?>LgZEU{09%>*^P^#+z|9Bp7Q*uKa-NA2MeU96bvxq~Yl-f2EohG}pV+8tM`JGJ
z_b`{{N9&T58_HN*dCA8qGs;pdYrE?4=lcrOkx$54OprlzXZoWI?OvR@YskKG0TBi|
zdInY?l<E?YZRn%(qB&!4Y5DjZOSQMPMM8<}WB6{w?@|_KAQN&8iN?gjl5BwN-Havf
zF?rxLLdKbQm55gSFb^J3RaIWD#JoaFMiy^+z<q;?<4E`GD0}B(`xX(RrEKXZhfg;y
z%7lhEBSY!GXp{?B<FyCTmK`5G`b}^n_?He;$=sfQzE7#Y8!2YJ&CbhPR#jZ=z>2gR
zSJ~cjfV5p*G~JP)#}f*nciOA6NITjM9-co}<9c>)1r9pZEhZ*HPURU#{RxKGlR9Q7
z=oPDZDT^#O#FC0Ek<^faw(pY-O)L_xeG~lTgH^Zs0pyNrPaqn`SEzbCk)buW`e_FT
zhi>#*N;0zDTL?b2$QE_rEkxleIr$Il8)9s1Hs=^b;;%@FiOcX>ND!!eh%m}nk7iYp
zcnY3Bf36Z>FRUC?7_I=ITdgv?0zs$FrNn24s<Gkw>+9=0NT9Ysfa<_~{&cpF$xIH2
zSKR4*s+tCdO>Vpo(&9P6buu3l<%HoJp}oqAjU8$Y_SKD?MlsoCbL6}%8xuveV%R##
ze~rwS-w1P$tKKe!&80939n<vlI*8e@w~xF|#_RsKbw;tU!Oz2^x~Fa7>-L~(-e{Ix
z;vVuUXJqB?-5HmGiVS2SUVDY<CibOEZo0}O2&z`r#|oOSM+=}YRQ{qV=WTE^K+T{-
z5jLztD0)QnZHP_E?EJovP?r}npca0us){bIrxNqd!QtWIJW>YP4iQ4ckvGnfCxlTe
zz{BGxs6<XdL4lJsL6_!;Jx5DNCzbJ5`R?6i8(zxlSZZVA^6)MVSfLDU6WYjYx`%;y
znIYX<T41Jk^>?RcpH+v5AXpqT!nb-Zd>uA80q#S3ek1mgF)>p2w6*_=^-#j=ZMWuH
zPn5oBDf{h1jhD}!mvgrSEfBtD6SU`*3u2nj_NN74R!lva;t~=UI{$d7<MpfLjCx*N
z=a=W$IZpjLdC802@9zBwmpl=pj1+P~ly`-?PV$*&o@DdvU#Fm$Fkv6-wBTi$g_0+!
zmuI@^X$@=7IK@q~Q)Vu%enXFY_VynlnwrjN5S~kzn0e#!A9A*1gBiFQjwKR2am0(m
zaQkFOZHr|KOBtThEx&*7f%f^`!kJFosQ~!iuzIGX#^49aF5YE6Sa_G;Z@F{`N#?_F
zhQ&3p3%ND><L(1wn-CT@|Eb;D1}A3zr%|^y9rs$osMEHDROOH;A$_n7ahvs_j~6~c
zoYkRlu{DVd&Tz|%?!Q%AlvHijN1p%sL@j*2Xr50{{aY6<c-~;*oM)F~<~iXL_yOs^
zK8cv@@`g|3JN_yaTNhl`I)B*=`P;xKyk(WK&cX0|{35+AZQySuU*hJdiy_gBZ)8&^
zcMNisD6ns=H+^CKHG%)4HiU`HWhCeMm@$$O+O`lzsXhYN5ie#g7rpmDKWrLOrxQQB
zpJWAIKBxJ$Q}5*>+?e@~$Pz{}E%}G5b~G_na!0JkRBH96h&sj8ifsPH&`pE2<ly%)
z09zNORz`hHXfxJLF1JedF<<j?)W5%pVM;#6qscriVvdV@;b@V8^8e;aG9>zN)Gsi~
z?~n*2g}y(ijDDAYE+Q~RFjw0=$>;WM*zpJ)znmY7HCx+iPDnuwId2+XM4PpU?3$Nt
zfA%5uvy0nQ_OeVVkZXsqIQ*2lILrwD{*W`6cws5H`)|q?CBN_W%n8w}kdhO8e@pr0
z^rz~B=<#y6+-8oYbL*v4v)0A)e|_Ip<6`TDuQoq@m@{4;zo#`A<au+&zr%D*B-m#8
z7tc+tM>#UOZ?(P9@k$jsoJ+>HkrqV>qT@BPpY|Int9r4dIrLystD_La*q;?#T7t}(
zncMp1x?ffjVVGVEkw=NQE4zAF8k4y_St?G9<)y&89F6s`M0q6#pFS99J83%@gr7M4
za8*=~B;qJsqYSpOhvghl{nq82S4P&-_TFNzwEo*>g_%+l?mAL7_=Vduo{5zHgY1>?
zAzd#n)@OzxqRJd9PpMal(jQ-ce<l2{iDHjV(2FwKYqBJ%;Z*thcP#k>r{?*5i^e@|
ztk*Ft40f)BzK&H5F5|f^`}hVR)_WRxqfJKLTE_lDZoBG2Rn6R!`z<y5qH*Oy2l9;Z
z6=-%(=#232@ThX#@pB$mpgi3z<$|X))YJ+Mb#;$vl#6j>=+RxM@VFIhX;ftOOiUub
zn;aEf&8AUeBM1Xv88D-Kcgma$WetsPKp=DA@3?V%|9i=FR|XD;C3&nSkTn0Lnu260
zSUp|z#iL9={WV@emzA%~jfV>nIJmgdckUpl@*GOt<fPxfepvuL!p6n*A>r)N!-rO=
zZ+M!InNR;C>+#|}5h~mI7p+lA_%q)fuqB9adS({@DJ@TZWcApbi6UWCuo!)>bqKZY
zP_eNvV1t*CSDBeHp0j=vzAZJ?kR&iMGq>L7M?)AG7+xhOhXGhclai7m0{BVsx&aP-
zAs2Yuvq7ng{z8D-vjDJF;%8+Iotl~wHn}Mv5XTZ%p!^^)At6CNci8KPZ|?ACK&=dF
z(_1Y7x71JQ14QJOwUt#N^~79j&~2-Zu(jT6;$FO=_}64&Rn^p(1J@Sbzvt!}E2ub*
zeOp?36X0w+m-O&&aZHylU%qE(XybCC4KDG%iHS+B-`hyyHf1QnjVf(gx3-)`MMbsQ
zJ6|&@@}uzKYow&Iz$R4N3_k}H!*?m=(cRcw#h8b3a=~@fO=g1tQ$1-9Az<ox`<4lS
zxF`U#PzbNN@3#Do^kIU5nPqo04GIabc9?br5`+mrZ;h{GV+os|E+l{a_)!2@iSyi@
zrC+}cxpsgz%GVBu5NcBA%B<uH=uYEi^GW}9LOL)PnYe-2M6``15`eMQy07WSPO!#@
ze{0iD=i*jTSAY2N;XrayQg>?*_DEM(NJ&Y_>0rQlJHQ&-=O>%ONm^Pz0A@y^sKDS1
zwYLWW^jGwCjR%TzE#@&bHiVLdq!nNR7AB^l>FG2;{Fs&YSH~iN`nyHfXku!b5+C0I
z)-VjWGBYzX^-NA0*4NdQ148TV?QK7jPhjq|!hDsCY^y&-V12ZJl#!9q`|mHM`i2Gp
zF|jnb<&9K;<jKLN#$Q_*wEqb2n+1eiAth}GWcMUw<hqc3mijw^ZnM{Rq{{LRTKCd9
ziku$*-QU{-tMgZiHEH&}eX_Tv2yn9*)lW!=C`m~f9|3!~R;VPS1eo05Qvm)Z-)YcM
zMJdpVc|@|r_4p#TQx(j)xw&8gcZG$8ccguRY<MH$!l2~3w>oA&oP!D6Kr%q$z$JZ2
z5eS8i{Rz;Kjgu3K_51t1?g;=#TpS!6o`Dj6$CbAe!AkzVpfD>lWVzR*Vg`7-n}<if
zS!qqJ*;KGq0m=Y5_KH!U_tSrY-ak~p(;LM}A1M_6e~U;z9xF^Z3izLxbiMEYM4S&M
zxPeOf2jU#W74V^I^lIX&Zo;vCK8HIBbaqdZ#!>4T3AtXdyX&^R=QBAqg@*W_ZY#R2
zPm+K^cEGB<PEN*=l9ECKV`5^w8@g$q;sZwS_3O1Fiv4V9xq}#x{u>;|Zi2^<k&(@v
z9_>(yIN#`sriqA*#FtZ00Bktpj<a)Fok{wi!9kupY!8(O`UY@v=T}$5f%&l-%9378
z1nL3@c!>#S4iyK>0(I~h3F9^V;~yG`_g=io7SzTHYCTO4Z4V`~{@E2pDdxfT<;`sj
zPft%E_RtX&pwGn0nnv^&4GqoN&8-871ztcZpD<90y0HNYModFP5PMfiNg9C6@e<Pr
zIMk7peCSCx%|qV3W0jGW9jF;FvMNwT%07PNJUF2RIJG_XmYt)>#=^pL%*$6TdSaO;
zYh4(3eI$TEEpuH|mXnu95!4eKv)aang*s|$#_9E!>E((G{!sQ7*Ua<+Fzn;)t@Uoi
z<@9iyi(O#oy7|Ag0PNXjrH{ayOGrqpY-|j;{Ooe+jb}$4HDH94Vh1HpxX`u^w|_47
zMgi9n5ph|}ZTSx1$m+?w&!GAeq{OG@wLpN<S=rpwprfM$X1wxyvdju4#(xK&#y(l<
zpQrKsZprie+hc$l4b1%#z@b&v)VvD{!hnM2L9<E}msALtHY}@-WqP6ZY;Tt)*H}}I
zaT+J1HJeNrM}fKwJLj!i3E*BE9nZnbnf(b&NKAa#jCpu=F#AYTbBLgivq@)ded^=l
zQkp8uIWQgKfR<N%n%34zVH&_bUxje>YrZ|y8z^9oPHin%w~>L-8ZH(0QXUWiz$+fh
z6hwdczy;-Hl4-r$JcK)2ck{MmND+#AD8qSGl$2U`S4Or+bu=swx8{vP8G~&sAZ@V(
zMllrd*Wz|!89`0gkpH{7K&DHR>J^w{M|Za!jY5+&G8S+*f;gud!tITC?agG>{5?ns
zGS`KUF^MYA*!2~Aiz`5|VEb@Je6`Iw`ATy-MrE`-j!Qyhb{N*mdJ`p17KSQikvo@6
zSP>I^q(t)b{Lu5XQKUD|n0^&ai7lr!#Wm1_i53$f{_|L#GRNhv3=V{S0^*yNl!!1A
zNa#~26&pb;qZ6ws7bLr&#kO3k-ty%w@56pk(Z|$@#A+E#WW!miQ>u?hd9MVTu87Nv
z2-<~U-@;eHK|TE$-_(L7Lipe}dyCuxUzE%hnN#U2;WnB$;#e(i1LDR=HtE8oN!t5h
z;y`##p!m_PAKC2~cx831R_P@;0R=l*!Nd<yug<P%r%ZNCRz)zE1H0EmnCRuMp+1&2
zx=R^MK#tDXoNYi8!W7H~378Eri^C&h<Sd(O|6W{ASXq6z5{?#Xm^auKN;MP2i_KaU
z&;p8bUj-9SfWm_ci{X--q~=l#uU2+hzuPkgUxw<6ru=d|NK6getUoL9#jBXejFSGx
z?fUO^BL5E(lK<a-l;@7*JOrJ@I0j|0JGD{0s=@c?GLxJ^<JmSGY;5nxXS%-*%E>#9
zZrWGj$Qg!0uK2CSsnnfPhOw@$?yj0z@!r{8Dbfe`Ry|`isd#~bsI(nZUgMQxWIa>W
z1=IWA<TC$pu7KF%iny<m0V`JyJaw^b!4u$|T0;n~ze-P!%F4PC92}hGxjD16So-N)
zlwUw#V8qeUkrF6i(0be}c>~D7d~S@S3{Zj<A3x5+p@NKX4wYt<?zCOLnU$5*BL1V<
z@9FO5EZy13!A*nlsuM1|nMQA*j*isE?s2MBW$INCjVa!~ecS73F==}#&8e-YXC=Qc
zP9UCTuI<HT!z$Z^am(+Ojz8+@d3Z{C*Dg+GFS;VH2@C-vshZ4-27Z4T!~%(2_pHo*
z|BR99f=Fy(XLlK>nKzPtRI(xXt?}$S{cCT;y|0`d@3ljo9CChk@)Jl+MQLfY=RrZ+
zy_}`V6A*hkfS*L&nn#ApZRur0ERJ_qKy|aY?+q9ggesE*#lI}ZN@A!{=Mjw=fKbEh
z;D@J{iOC0dHW?L2kJnIqwZ6QJ3_7r1cVl5%{a?N`&-*~i3kicB$Hx!gt*D~9)|ReE
zDP%|mG`DR4y$rcVp~*u4#~{blS*(SM{~9^Dp5qK>X`>9JoI8~<F+>#HM!JsapFiIf
z6%!MH44G-F)Le@28h<dvz{T+s;Lvaafx4tuLM5oc=yKJ3foVcgSqmkM>j|hVKDbJ7
zxNa}VcXf7-*<!`|>(>?TW@`gc1kwN|rBqdx3`xIKgA$WE%Q^@e6AtE69tl;QRSub{
zsmcg>^<b3Ys;6tnS2;?2EIB#3mcG8rz<#21OMiEE&=7$2P>eWa6Z4CUF9ObYGLb+&
z>n;n(s}_50AXI@y;0e+KS*go}sb@CiJT{PJEqzJ1I}bhs0zL<%AV8(c17i2;)hlFf
z^#KVaW?W{Cl#p$sF2y3C3I^Uk;=%s%Fb2ew4iGv;#z>u0B4r>{0NS#H+I;G9EE@+$
z8)Ry|Rqf#TNyy0`louZ#Y{tNfpb`zpuo0BD3sTGLkX<j1Llw~8bTAVET(E(mex{_~
zP_818FEHp=52g$StNis}SNJVMVuQ*NKut3Y+&+W^>;EL7A(1-W!l-v!d46&7=>o;C
z&d<+31Cz=rD<eiYzJGzRZ~K%U(Y=UcL=@!Yc%iz%#l=O@q40dA*e0L7g>O}MkNH!Q
z6B89cx4^>8?DC`DeRpfiLP-f%iC;)45e^@0)_pTG+Ud&2?MY@nFM(Ybf3k!x=Dyki
zwvi$39SfTRHun&2`8}992sRMMq>&-6gy3JkZ0+waNlHq(vbfl(A$2xtmGWyZlNze0
zLy(ghh@AcHyGe?G4fRZYe6&+k+FbufCmk#gRl#J4x`)40PhSw8^=*IkiWu1QIHo#C
zYJf1+J$&f{=VYn=$1?s4rbh#*ok9-Z;-`OykuV;DDk<Rv)I_EUW`o*$+xU6x`yYFc
zHCOJn{4-B)hfN>u>3NwZ?8Ks!pO;q--}}Oe8gLMC_$GLjf+8)c>3FpW3b|ruF;tqj
zQS2AOK=nSgaTvq~13MW{|J>eR83|R$eGSDGP^J8y@rm5V{Gy_%VAsI73Vf;q%|$;L
zL@bj*soB6)ZX;e!&ImZT{ey!jsgQ{MByWa@%k%yHeG`yw4W^4J#`WB9Hqkv+kovEQ
z{h100llSSNOY`4ePJDd)w@pnFP`4d{+9EaS<nRzhQ1kHcxVgAwgAfgyfT{zM#@Jsu
z@)5nvL3SwF4fr3%doD8f%B?V`Yn;p-Gr=eR?s!SscgAhjSZm~7REnEdu=kG@k_Hg?
z$Nv(y^d|pP+%n*h{Q9+}Sv6Sv%#%Tht2G}XN&jZX<NcEA@pLt}sQc>ujQyP*Sp@|w
zH&L4A<5f<tr%!X8W}6K`J7I5ck08;}(UcNCf<pF_NKk9w&E`Y&7>RvK<i_pW*I-qa
zXPU%Nq83neS&bFyX)0$!{df2)PNU56hiIkU1fjpb|75+pU7c62<n`X39$YBruJ(N>
zfkNM;-VGNeQZj?;ucNbb9+lQh`HQ0v2$axd!nDi+4LrqbfCoTdU=7n-9xI|i=BlS1
z+d=f9rK{`Keg^CW25{w9t&gA(83GlN>(2T4!6)m^aPq}-c$EHz&$zH!ab`lrXs9w&
zB{Ych@$Tc@jp>^2{GdpCl4(Ew;TlLf9-ECr*t!4kq0zt2on72?NLtwcxo~0g4D?+u
z?<T%_HAIot`x4~5IQaONocE$u;V{R?lkHsR`#)-04BnmWe8j(~rFAUmU;WnLc@yGk
z2!zVku`zN4R4LC;s#H)7D%jd`e5-t{^Y}IxMo?}pBT5panl4)Py#fSUbKt)Yp>o%m
z-v@VmID2tE!4@m8hw@3J+{V=%84^!>2RMOW_}tegYiXH%Bs2rkvUym}kG1J})rWf%
z=G@gyw|cHAlUnjpme~w5AT5wfm%IE_h@=s_`smA>XJDq_uh9@V;h3>-o}8Nhi+Y7X
z^#7%LC9%Pwn&IE-l`IZeuWArBUROUkImrd(g%?!dSrcn$h(az2o$nSJpa`fapjYq%
zVjZ8|I9Gp$#B~(FFl*+$KFJ5+9Sg*7U7uew4y-)_@eDUNK|w*mBrGLFflDBm5#Jlt
zS?pB<zzih7B`0>vHBLgPg&~qWyy1Vm!V1XCHN^So?*sdP3RW<YWK|X@EkOX~(eQYL
z1^>EG|AI&2x15S<ikxo~)lN-&`k)m0+SeB$njQ@@!bjjgL7WHV((=lR5||cBXQGp@
zY6-H4WC)0{zWY;;a09zz=x!P~y15COnwU&x%VK|<nsR9i#syF-ztv(6oE#tq8UX<T
z$A^c`D_`@NE*h&%_pg3ORdC=#ul6zZJj(D60V^|U@~JvH-iDG(>yMA?)C!bK89+(p
zLA3=cT^Xobu`XRocG_Wf^6mRwrOHA&>;0PsQUMgiGmv^KH$9z(RW0>?GiH3FXb5`C
z=|r9i1;By{pvhe9-Pzt|uQ8kY1n$P*ukCq(WOTM*r@#I^y82;}PDrvI+u5l=SqLbO
z3shR8YkR5y#X%V<D<d-rX%<S&GOS3K*J@FQvaGVveQZMNSJK{EO~S`j=_d=F5fcL!
zP}23e7lKA<CtVGNXazlg?r3PXLL&$&JZ|CH`~2Gz<^hY@vY~}%=|SPWOr`!#cS<J=
z>bOAN12|6<_`BjQ|BKalcM!?aLY%JOd~1{4%p6~lY9v+k5>@2Qe#(SAYRMa-ChC|g
z@iQ~OfP%c_tH=FCRBR}cy`s#hJ0k4k4uUHefGpO(=3N$c_@-NQa%IdQlT_LLuGERn
zRIs*rkEvOX0-$HSe#dSoQ=*jgtsS2aQ&2vh$^_diZD1^;f8Ee12U6lwKrP<`BKtbd
zf1eeg4e(I1YrM9qU;YCY`<YT1Lm%K>a5GR@Qn8;bHhg0`Q;mO6FbjNfi|dmo+aNKu
zp-~8uVPpHuy*oBcd6Kdl^i6B$T{iA8qIUa^m^I7ztI3D1a=YEqt6ds?WKmy|-77tx
zwA&C{JJ@d@e#O>}23l4KO0GE4<|ymzGORm<WQoavL<WR9kE)_oMx(=u?KNmJkS!*J
z2z~Gaj($XCbP*qb@Ts)g@*N9`9B$Yafw)4Nhp`<22Ep%xm1`*W=n7am88qK*3BDvj
zA}_6zI|~U@q)&tvTq%~dkA!NK<?&Y!LOqs_#1uXB7TOlAyseCqOGQb91_pw78lyvR
zOP33ubchfS5-;Pm1WI*<7u<Q!ma9c?TU@OrWQH0lIc>WLf`LpXd||vJPmJe{NLG}$
z#^w>dCmVQ9rpIq7)-ah&OgKk(!{mLI?$pogmcfKl@&xiX*_d;;tK^`PtYC3?_le(9
zio>678Euj{40G#CxW%5@4|!G&0Vi5__A_U?z<YR<3U^9NG9JuOx&-KkeY@vLA|!!&
zyU^q7!W=I`HJ7*+v33Kvq~1<g9~RDY6g%dSlBZOpa7TGe66M5c^A3GAxIwmi!$SeH
z=#?mbxl*iCZv@LgS8%|y_v_fz8_s(a_pO;zMu}8Hi&QZiu`rEPS&%!EcPu?<UW~s5
zG*9hY1@@SeZkRTn&*h?P?k%h2t;sr%p1oA&Cer7WZoH#1tJ!#5?@xV8^~}Wc^(|A>
z*dASOR9y&>Qc!Qfxsjia!O~;lct%Q|Go!1}h^_ld7blf$Y3#A4S~674zqkqXe=D6*
z7&!59_hsSa1rGkkEU-&@>GNFl4Q3Wu$%&=~Ql{BlY2*p;2U^Rouo^N=&4-D!Ex2r4
zOvL2CDUEOlX`yM$+y4~D<hsPyE!UBI8u}dl`gN{Rwt5yND4`KaLhUJ*h1pu4mwm{>
zn{*iq-Lm5(hKJ9+IK@MDq<hm}@3l0Fd<*Hex=o&ey=ABy=JPR`vVhFLbBqW>LB5e`
zaIMhz?-KC>k@fg+Pw_SXP+U<)=fQ6JRkxLjElNqk8+dozu(4GWRV==Fizo8zclaPd
zXpzx)`h0nPEcTXm*RQW*Tl5ZeZu|{PsAtBN594R)<W*%qb<J&f-e!H<1TFLRq@!Dl
zp|`fnkIOOH*ny>J-_@-S!-@CKs@7B|zwlHmxZR`8sUG(WR!albSs}f6Vvw{wx^vm*
z;7@X)h4n`XoX>ElmmPA6F<Q(X$!(!_4Cu7pxL^jkTR=YYV0OH!wcw|}4+5hh(fqEG
z$^kSJ9(L(4-_}b1SZQzi!j+gl%OFH>WM%6tzIb;SuHmw}jv>wT>QL=n`wb<Qy(D<A
zt;G@VUc+#hH1ao6bp7R|f>g1!Z6vU9cRB2J@ERfsaS|G;SA_w@8Xf8;D!i<KeF;rO
z>BV7B`8r5LqLk$D-?6_SKoV;%Xmb}?!j3h%G=poEG@SC<$!X59EhtOsqVz_Q0tTxs
zesVMIjv`=c#fxRH=rIC{&q?_)T4*4ZKDOiMjdPw)c!mP78C_%KD)BNR&sYsE6+M6n
z7plW{kINK>ZFog=Tu58$kMi!Bqd4qyk&y^2V)Pqa9EJ|VqAXf)f`ZFn@4g^g=E!BB
zM?V1}N$>U7u0CnfiZsx1$kJ<6b1!|I@8v3L4Y_e*7H6foLfgI)&i-8S-WesJi@6!7
zG(DxCQbuq`;QEWXy!KH(;81VDP{WL_khF*5e$d04eiKP~;QyXuTr~gq;e!55!3aIp
zof0K_IoeyZWpK1|uFBh6-ym;ha6y<4`@%!@fGi!OATgeb5w#C#Q)(ihHFEz{{}xm=
zOP>!kgWt>d$?7(0*An4*wxWr>vwx^kY+XnM%a1c@K@qs=`ouYtDXt3uFybovBi@8d
z#@~w&qFfpejmQVs#nxZHzIAw$MJ6dsVkahIv3ty`_ugH#P4ri660!SzW&CN%Qpvfp
z+b^?0z~BPUwFB~yu*DZ~>Y;Itih<2v9f~s_Y3jgA%XSXspKo2vw#|gmzTjK4`MDHw
zfTl{nH44t_HPF3ls3oIGt4R5xAZCy7CW}TI@##8Dh~|IW-PIQ*TP+K3X}>`mgQv9y
zl=~<lP?kB-+%zR6APmDnUyH|0V};YPmTcP>EF$zNr`-cxHk(&BR_P}T@E<lWbmz;x
zuD9S5kDxf(ar%2Bbk+*SXkH{Z_eeev+R?<lH$_2d`teq}WvQ5Rm~6gewCzVmq4&9U
zs=s#QtfS3YSO@vXs-|MyhWFBjg)PQ0UBxi`YDxD{@Rwqh>P(j;%L{JAUpQs!)v288
z2*^9bd>F(N1JKG9NHW*N`CJM<eYK;}aR;LQ3~%!8oUyUQdA(b0eU7_o&L6-wb7)h@
z+HYX`76hK{6H?YO-CcyM^?)LFLA3A;bM0P+g(MSq4!njnk`Q<-c9wu^jCNX5BX1+?
z#ig{ucv7%+9-f_yn+Lm-^QR}Pk$A5^JbN`Ts?7o^-oT%vDNon{A(YJ9@UTU6<U+4y
zoxFV%Ux`I6=}k6{mWJB5FV&(9A;Cpo!Yun}bw53((YXf)WoC?kj&qLWXv!K5HAJ(2
zdl@WJnH-rh`eJMJz<`eJ#09Gl*u1Yq#lKE|+PGP$z~hap6(f&X)W?iRgos?C@c?ZZ
zTCsKbVTc)X=i${mM9I8{u`k(B9?j>^h-KjoVG1IQNg1mra$Jgb<SKGpV#9$FOsUu1
zDNW43B+H%M0C9y4+g);!2vB0E&GnGC+TJt$Bgv51q-2lgGOiwqEk%|8b<Oo6=R8h;
zjGhWFuU6bp0%HynQ%=GDXJh?0cR8+2#`4Q8gYq53N-PTszwqS+IiO8yBSHJDDmu6N
z+UA)e@3$EVX-}(@>#LuCE84n0;`U2T!5Z|Z^QIuxJ55uGZ~kmpbTUHO(**UJ#+Yby
z$Y=dEB)E(vPxl|qe%)Hr_6L4A^-pCVr2C^4CQ4D5DTnZ!bH85~z>p^Vuy^)&vlJPB
zOd}`Dgexzo-1PKdTr^npYtHLGD%U~&ZWKC{1sMH**WUMk#VdbRTMoZ{aR0sql#M7l
zsgf}73o{D~13Nn|6#6LKsK)V!^ICCDYLXLZ<d2R5&Mn?TMTKffBcu_H=X{ryg+Q9g
zt)3|v1+7S^QWi*R;Xk!M33o)z{g0S|rRg7mCY(?}JbZn9dlTF@B>Q}pvqR_B*CY4V
zCaeLnumP$xVb#XYE&_@#{rZwxZ#Y1ym4HftT3=(0*YR7U_l`5rHyov(fR{y;2wPiQ
zEhu~m)nfrHZdgo=aOp?T96|q)%)1fkcOxh<yBD;%mHF)1?uf3etRw?FN=Pk&KtjH|
zHbDdhw%2CU!4{NrX%nE~5#}+eMbiJQ(xZTbLuhx1sIr@Qe!tES&^sy=Zg-XdC=vzq
z3>4}P0>jL3`*vOL27_ZX82xrAXwzQ>$Hk4f_kmymW`?gf;PleG&J`0%kO>FHE5P77
zKY7wH@4*s>3&5hYhewHa3SdmofTtG?1)3=e`^Cbiw8;3qyc`Av3Oz6HkoYFh)m^XX
zW&1}^%@ZJJ;Pu(HL3Pk9_9mbfU_?WTz<9bSG!A6^b6><ZJ1QRZ4OQ70xc&Kl4S~Lc
znDes>Uyd)JD(4G0_eFgQLjR>BXlO*$d%BDD-+_t4UEkPnD#X|F`$yU&NL6k-#sO_&
zbkP1M;j`NUt1&+}7YK~}!pA{LSwOk~06E^@hyW1s20#CmFJHcRoo;udnW!Oy5(m`K
z!x3uM<U`NQj0sx<l_3^r+=wYD0ku-N!~O!`ZYor>9H61-ii(P=8RFN{#XJ?@GE^HR
z^wk8k0ve%dXov&bB!0F#0{GyEvVJIWXkZCZofus)bTF+GYrp|Tpw%<Od+8d&CaiYF
zr-^oDWifNp3m%`)pz6*Da0eSZyR^DGA&*&O81xsR<Qq%(wR>l0>BKz$$jQh&znyK;
zH$8owM%1kZ5Ef&e?C+5%UK5yVHa4~vAP>Wh9qTZG8Ld{H%5g=lkAbEpl1Db<v&Idm
z78>+{ghfSl!rZoiGY63b$?}f|VOLkzEr9$`=+M@|fg%*Ks8+7Y$;mk=`cOlHvj)(1
zB!Dy4z_?Nh*;4|3vz>WyicL#PivoK=miZFZ&II7uAt3i<04<0E5{;B(FsB3D4zN!*
zu;pc5+g8+)zJNOIzAx*C{z5A#eUo`D(ZNu#5F0S6I)UVh5oLB%Z_Xi*fG$u0es}4n
z0o+yK541n7bqS(?qm&d}<a2+22Q<A7L8%RGot9AJl~q;ApX>{t_dJCn9RR&9tLc;D
zW2=kvv&ALY7Y#s1IE4rM`ij1GuK;PyWn7I<B(Y13j*jkpxMc}lGTK*^X`np16bQH`
z^zF8EcVmO~q4q3<h%OrXZGlt418D57hDK;{F*h8)Ksfy<bPPl+lrV=7fGTnTTm&W<
z)q9JA)qpz)WCBSEAXs$NqHZ|N&CRf&t#IEE;C}ctqLts7nGqCrPEAdXa$9ZiR+QKV
z@N7fN6ybXDQIOL-ajhHPg%%4JFxVS>d?WxibOSJF;p7wpB!?A92$%M%oo1uKGSLwL
z_fU;zryEWI7zo+bt8JZ~d2M}xK26Qv4?jm$I!up?muPcHNnO<Q#a=f(ZWsq-8s*yN
z<}8pq&@EL4Z9U30q~nm533`JcR0N27U<81*?q?X-S@CT!vM^}wWy>1^U~Q*$@XHrM
z@aSDAJRkaO=3qyX#l86hi!y&jL_}-@pr1IcfoiNR)Z+x2rq%c1SLnM13O(n$>D>q2
zdT`n-cqzFO@0r5+1-Atascq2p7aU6Kg9H8s)o%p2-^Dz576lNrASP;#6D*C|zy*9B
z7<ge;8k(N|!@Vy6I3v89o(c6{+YF6OO??AJE0n!(c71+a(+9Y^&@}q}Z6H5;`rw{n
zo8YJ@0%Q*8X7EXOl$G%Srw;y|88G8}?>9&{c%3F-Z@5hBM|~eItgT%}p!e(rfFLuz
zJ8C=c4jLQ9$tWloSy{1BjsS>)S4l~s&^UGj8oNAyxF^+pugE-9k(xK=_*jq9V?lJG
z*lgS(q^6-kLjV@WAs~=9F`))&K|gM1EL_nFD+tm|zq*f9bE`khq2H<vx~4h4&sgwU
zpsd#sz4jVV6tw{L`rGj&A_&F@)V~W*=grQ}zBC~}DhawqL2s0p<sK_^(Lf`R42%j;
zCT0<k*_5`@f!(3tlAu$7QVBr~@WK2OEg*!q=$2tz>L4t_1Q8Cl66j~Hp#U3D+_*r0
zyzf>kHh7i5q9V>e^=l={H!thyvpDa$>S}4d_C5pmv{PaCP6fM27&^^zhix2#z$n1g
zqk5(FY=wcg5Z`LSI6U1M1SyD3bKg3^OJR|baxgs<v$Asx1e3IfhY+lT^Xe!&mq{%#
zD3oyU@Hh+{f!2VqRdT}ll)_kD{fm3wX8jruh=piDTyjb26i5mP0|nZq!S0{0h1>iE
zmDV#r>cDPk;E=aV9DEM~Q<Y(V0YjO;m~IG28g1hxoSS_jr_xH7KusJI5uxtzSVcA{
z4oCf9VS!~bD@gWjZh(UHYcj8Gh1#*40BN>A>fCsFISg-eJZpv7V`l7Frm8j{iIs+S
z|E_Ip-rS*{ft<odkZN+n1ELYgQSb;uF(6d(BwenlsS$y`>rR2R0UWF#lq1>OyOlb?
z^4(EboR&yVt7Bk*fRKpDvdU<9#cl53gw^p{({4?2%jS+bgr=d*gL#hzEsg|DuB+uA
zKVl%IB@+`9B!r<Z{{GQ6g5d)LYL(LtpDQBoGW{JiG5dSu3+nB=dD<cp5}n_^QPuz8
z@$mE{!MS8sT+N??55JH*u}mWA>RwG|@=u+F(&UBG^n4A(Y3UqdOwG(VBsEy#wocAO
zBqc*yEdq^-L;4m|kM1p>>7Os(IyREY9uk%&_V0hvqMth)sGRrQtTf=(`Qaf>vA!4w
zzAzO5Wt0NW^FUw87@6!qL$3U=gWcU=<vet7d{I$R!-viya#cq1r4vD1eNH|#4~$fi
zT%ljv3<rWitq635+tf^#P1!r8-eu`5)Gu20Xecu(4i{R88MUn%vKO)}H+*=`odLv(
zr3kgZ)a~2zFQcB!;k{TUit7<{@dc#P#T*i+JZ)*7q%<Q|uRo(ytT=7oi$9E5p?`Fj
zX<`azU{ZR{r1WHwpSI7cyix261GxRpO!Q;Q581>6+4@EF>FU-20d&*T(|zip%R2CE
z8^Q`M#@Bbb#0YXUUT~5zFc{&ev&qR-62H+53$vj&l+8}i<w;6PM;}gV$9<t6&K7<U
z)H?U5$;{k?V>k1P{I>tpZDL5S|NS+*dWiXYV8Ed<VdO9T3m=G*yt-V8jK%Z+0aApZ
ASO5S3

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map
new file mode 100644
index 0000000..cdd3362
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::SPODELd" name="bayesnet::SPODELd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="95,226,238,252"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="24,153,154,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="115,187,155,224,152,228,112,191"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="178,153,312,178"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="222,191,181,228,178,224,219,187"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5
new file mode 100644
index 0000000..a8f9b26
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5
@@ -0,0 +1 @@
+c2a8d41159422d470d0010f0fdadea9c
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..4949d442bd6dc2843783694666100276da2bd53b
GIT binary patch
literal 13621
zcmd6uby(GF*XMtP2q>+9q#%N#fYKnLbR#GsB_$~!AzccB2#A2vAtK$~Eh5sn5s>cg
zj#>M8p7(m6nR#dCy5^r559b_?XS?_PyYIEu{av5+CE&4=Gyy&pK7t?wvN95?2!bID
ze`Da{!0+JSu#<;>;TXzGOCaayzrNO_g(JvyL{{R_Q|GwVziv8DU!RF?piIl#-eNM2
zz3c9NEZ29h+A=^@H6kpvM6Y}J`K(E9spYe|vh}%PMU(}_6WMS^?hbZ-<2PBJ9alF?
zE%g{~$`F4ZK{&bEm-qee2h_hJq0}GiYVq+;;4&4NKRtZqY-??g_!5iZGW_cwIRTX}
zQmU$|PGJm#x1`=zK9-}U<T6q4D_JJa2|w-NlJUEhB2pxEU#$N^YYXz@SruWApc-Bc
zezJ6k^-oUU^jKlHJ<TfYp5Nx#y57WM+$?y)48Dq?-DF}zSN_LuGd3f>RLUtTN<Mvh
zMLkDrfO5AOpE(?lqk2Ou#YIm~kMh2uMA7Jy{p|0n)yHd9GP1IdWM%P=_SZvh%13<F
z$kRi--@e7HK3d9ho(|@ln40QcSnlfRXkN~%`&f6nYV*p@uJPR^ihP469PA4hlB7fE
z_?<VdCwQG5N<Ggb4xWtI-zh9C%y-$I`<dRHiHU_3`uX$Iv=@rZWP{nyeC}xEPB_&a
z)9UExyqfxf7j%sa=lo<|G`6@ioJHAiqW;ZLl@mu}Q`6?J8zB=d^j;GB`q!1>_%V>~
zMF-6y6N2Brf5&|HD=g&v{{4HsF((GXc;iNBTwKtIO&x7TMFqddkwbX4#(U<_s3=PK
z;2)L4bzY(#?(Q;S7cN|A@9N5PtQZ~DiBU)uEYoJ-;0T$WomHEQjEvmwO_ArR?K0!$
z<lxBbv~pY<jn>L3RpPmJ83%KsV|oXc^Xk_p2DOO1jP;V;q)I{Qk2I|t8ygn$A=G>y
znW95OA0cW-<DUdAvO<}#Ffl2qsV!}zV`@W~o@r_Q?(J0#T+jOi>w#ammgjNrdA~Cx
z&Ckv@SJ=<@{`nIvcUvhzC|Xidl1Vm4z0KPjadmO&85xPaM8VD^s}#-oE;KZB&hau1
z)&r-tcB_%nP^KrUs+5$JG87aPjtkvyIO<Lc4=?VOp!AHo5`-7m);e=_tL(;WJ(yaz
z=eznkI)W`xxheks7kQ`%{E6s0;e-RN#$4v(pUU;Lwg&X{^f0xmWvSb)3>C~BS;ytx
z-eFdZ`O!k>)-I&`WSnicK{fvTblnTj8y-7j%R@$4+0@-#s5LVQ)h%e@%ErbPygE{5
zs-i*y|6lgOg9nur6`QMN<8yNzu`c5t`vb#~?d=MJ0s^+vKZAF6c4lC8nL8PRq^{q3
zc$jvOdz_qMaC)QYv-0q$c=?AjZ074DAM_@Ub^je5jS35EEHCGGb#+zELxnSuk&-UJ
zBf_qdU%gr&AIa`M`$a=jN2fiIf}^*qD?~*_Mab(+NLWZHDlt*HMz8D39Su$<Cf}Le
zZmjzE?{SwL1esY_`dV82>Ag-0nt59@-CVVDB5Z1Q)l2%WCh-~lyv(j!`I)2kfRWyH
zf#K-jVB<#s+1!4AzmvR2{?qwVtC92`vvwo(@L2IYhS&Ws;_i4BT)@WO2;``}E}Q$j
zE<xO%FsFp$Di0wwZ;)1w`reL2k$G`e87%c(WF&<j0kt3O?PaYTa>&d?_bog|M#fL!
z;XXyCU5%}+cxlRsKflX{>vK~<7~>*CrB>8*9y==h4;~oJcgA-w?`oF6VvuQUYrE8!
zrrff(I`W9Lxw-jZqlqXqHZ~B_IBFz4-(rBZyt2}8W1;~U53gadFO9AASv-`xyIRHR
zKh2Trcwvv_l01(0t_SQcqp-Z2YqghrQUu$6|DIS`xtx+IM3W{(kdw?ltrJ@rbVzMe
z{RaLltN@i|#Xyy*B9;dMwXwa;rF`+i1qK$Di&Vil5SzYvc^q$jd<tB5Er$O5!9e2T
z<L|%tedXmyDS=cn$pgog`u1op48+{r9P*j+o<4H4w;EXMacsCf*8$6MS|1xKHYb~!
zn(EHc=7aLWAR<z$DjYBPn)7_Tx%q-?&6r^<0gug?(8+F|S2KE5im|)~=VzzR=coIj
z(b47w>k&u#8J&<ppFe+|@Td1oS8e-KWV(5@oabYla`>N5<c)!~G>}SMwiIFW48yxE
zlA}rgUVTFY2J&iU=>E>iA2NvKhQb$ZpP;yW{dyhouB)p%^x!h>l#r0XMxRD`d3lu0
z{z88SnUJt>XhMSZ8AgTsA?Js{K-<OMo0sWDX!=qW#g&u@zkU0*vD2q))aZ*h=g1Q?
zURceDeYfO~CTk-v8ymr&KYw`k{;Ja79r%;+gr&Tq0v?&}hEz~`@!CL^#`JKBrJC4i
z?|!{1?cw2J$wzzLpUD|5I`5AxJ_`#c_q>PKU?CsrML$CR84VYkmpgAV3JD1j6B8rI
zP=V3K-rnB!N8A?ux6r}U^G!19zLB3m_RkRdkm_n7C`R5)y?uQo<m7%sLz+-huL}v$
zz!mVWtc<U*v9Y~ONz*Vx5qb6M)k6b=B$q><i$qg>%Az^8REV9O-KXg207&Z}EiFb%
z{TU0R6<iS5CjUGEB@GRYY^@S}diM>CQk!u?p9Z8xFJxiC?B!5?(y-e!m6o)4ONEFL
zyF_63r%TsrTz3sMH7TJ`Lt^nm{w?jgQeDRRNX7GEY;0_2cXxJYu}{G3%-wOZ_uaK?
z*O*!%%88M#IDsb_f1%V@R#q0mP2}+E)kOBQB29I5spOtt22FlY*g|2^sdaUts2pvL
zMeO4eOH})+LZV1K)QZv}W?6Qf@=xsS?4yM*F3H+0_NJ_$@)9fJsnhPT8;>3g6c|av
z?Gp-F$HnpF$vB5zwWblhMOL3Nr)~3xs}8odNy*7K;^X3m;Ow^5YznvD1^ErCMB3)A
ziut9~_B&`RTFr?0nK|qd)KI@LHoo`ZLDlb*M9-s)-k<Rht+l7dtHUKUAO%WR)pXvR
z9?mD;>EMf25PH3IC4^2`Yu)YK!Xo^;029>{MUT83qKGA?yzvpolLOn-)YL)q%T%f@
zIYIUwN2>Isu2br20)dIJ7fGLwvNJ@Lz9c4wJV{fU+^;(q9`ii5Qi$QskVUZ!`+=75
zo-s0N`S_)!IS{8{80#X0K!JV(rqJ<95vjA-dy~Ff8aC97w{GFKwzdvx)etvIwI-+d
z67x!mDdQSEVcLOjQ-0dJvM49K>=g7R{`TxCo^Y_#Hdm{afPlbYdRoWrTXkm(Q+tjn
zDTBEwIo)R5qS{qB3=#y4B|6-u6wlK=WEmvvKiRt~2Gx_vP0CuL7<|ifC%e>0OJcHK
z*dX)B!zUlTiRd4j=IDeG^D6J{#1LOKLGB^<K93kxmMoKq$t>{Pe$hyFod)5*HMKvO
zD~-#LgfeC%bLP8pV#EJtf=|2ck@{U(TnxM#W+TQ_vhG+@VpoD$Vhvo&@NP@Yw#X;R
zS4>#zdxV}ekl@!nuZ`oJ6VnVmL3rN;=?7s?KIxDjqgZcvZ!vd?Atu0AkL(^sUn@1C
zm6y?D{1863M`E~K70P*`9ij^UTQoCb4K;p}_?IqC*6@g_QG5`4&&=%R8XTlSjNeb`
z{PnH2{~qOd&`mrB>+4CVUkc3a-Z*|SdMM&qW-=3QQ$?}&<G&`YZn!eO$t9G?#f)QP
zlb(oqlr-IvBzLw{LfoOSw?h@0j2CWkNeFrDU6hQsh5F>1kC}C9@U`@Py$Z5F&h7Rm
z@BFMwaeFrUmDu}IQ)|rWIp)V_Qdz`ozBFU_3@<<UCJ;BK$}Hgh|M#s$`_H|VKlU80
z6jVhWgKNev`w0lKS!Ag7s+JaMO8)~;z-JA^uW?6=#-oCx6;kQsGHydf2>$aji<jy}
z-C5T$T^4!o+nJdeP=i(%t|zg?=qCH=y{oUUPc>67CUM(aDR9JV^lKIPUn}N+>gX&#
zJqrugh`Y}WJ4mzVet)^+d^j6<-*!qOh>8clOKAHtyI!@KXU*5INSEljkes}Htnn#m
z7U#3Wc@=fXQ;|l{YWjZ)Ukp{gzC%bSgs#kdt*-C#dEt%K)ya8n#$I-iQb~fI4GRlf
zsy=BAXSx4s;^E5QDvHU;N#~hR>5b_SQO0}sh*^~45M;qY5GvVE8oA({?Ci_8Z{NNb
zt$=v{`X$4}!ZN)#Vk2#B&90Ov@|S7(>NiDM1%)6PIXOe!)$zJS5fKrlRuFh|^Ya>2
zI`A?@<|pwZIiDgUTeh~gShw5S+FYQ}QH`5&Q$<HcYRvP(#jTK|u03BV^-odDx*9|y
z5C&51hOCLPG4aDMf)-Sl<UKNT>X@z(6W7C45!lwxo$y~tTbn$w(Lz7p1W-9pH04cA
zO<7a;UABxtsD(0>Xt9AbUYMPgw6U>47hWa-5C>9HQZXa<DKD?U1yW`;A{C|}D{BDT
zq^qMdlq7z!_GGJV?yK`^32LawRJpRMstA<FXqgSY?AFQQwu8Mr`i@+joO~24)il}U
zU-b2By<x1=m<!7nRR=peLk9<LS-XKuHJS&G*%h_aY3Ik|=cGsojezP4A*g%T=;@UU
zEfxm2$s>-87fXtZx#6}-03l8zV8^t&va&EY_p@x=Gd7mbX3k^(uc>u%YOSe>NiT?I
zYCh}lX=yA@tHWw(>s7u9W?WRHt_bC|Ypu{>tieIl*4FBjzPu)D*ZuWTP;fBMxi`ei
z{hK%6+1lEI2>z~@$0Ezj#MJ%wZ+uEh%3W4g!$@}BgWq@Z@<CcqaOizcOr%f#_Rab1
z#KqOw`JSj~qH9e8G*HGeGPteFNf*6INJ#n@9Tb$5QbR(BM9&V40<FT-_IHZ4*v4I#
zb1c%(yBREHlv~5h=dY(|q@tZ@v24@K5e4eVbF-O(sTGu;{X%yV6Ue52)2hC!=4K19
zqUiaWgQ-9oPGekj$Q<pM$0#tHn3{6kz8ygOz|mMi;j+BEJoFmYgfY<V*+L#OwX$iK
zcDJ<!y12N&%HT_<(&4taxVX#OsDPlL;8q9U_zd(aV&Sbn;1t#H-$2qtSw;)Fa6Wfk
zya~(SeNY`75MWT{xN3Hf@-DlR(ZaKTgr2;Y<t1TxkGyo-^|6}QOKunNgbftc>t3Y%
zKa-)mSBZ(e!@@{UHpB-m2E_@xk>}N&3CgI)*qGnFyPLs&nxm+DB%)vMeMIO(tlr0@
z{468n|4wG=?=18nx&9FlY!I;>qEV3?&!uc_??aE`3lWc&eZN{;A3?vL;CW=O5OuF%
zG*@bSWc|&Dje>p?kKNS~3TtcY_aPxI?@4a3)|7%c*Qs*Mk&DtoZ|!eric9KB%-d@(
z^^j_MC_@h%vyS(`^MoHV;iGw9>f}^&AauG9A3j77{g#ikGV=0V7kkoGlA%!uk_;p_
z_!)F<E}u%&QwYinF&P<F7_^7dpymvXj6%c0-fnEX(y4L13RN5T(j~6(LW6)5UJSI<
ze)sO(+$<54N@da0;$idujbg-rlI#9uR~x-v3p20fJ|~8kTH>9HyGsLs1_lN@o0~~e
z$&&yR(oxIi_bB;6@4C9V^`TIa&>+o2nfQ|;PXVRu6I0~fXJUwu{hUIIqmiNE!qU=j
zI$_uDhK4sqCLM;)o?Q!;y5UbiEhQ~24K+OK?CeaZ%vv|aUgzq3wT#`-&Z17WGc=5{
zc9V_oK>bZduxZPLL09*p&hxZ=byUcTGrHWc8Naf;yc?9Kl9JL&e@6J>64$fCxP+7f
z5a))$9+?o!57JCC)_MM_KcN;#V;K%Q@*4~0<m8NskJo*12D|Ze(VvxztIz$o6>6J+
zNqdyVNLD%K@phM}MvM(-wDVH`ZCG~k*#6l-KeMbo|A4f)`Rx#T(a!$<e!&6NK26P~
zzMP$XsfZ)J=g?z!lz-{YLJNL6{#V`}M>~^|&prRlERzMxiz#b{4|FZ^NVvKRlHb+z
zHcj*(4`)^^bQBPKul{4{-((=WIBpMq$!}q}M$K;hCv*DD3=iOidWzel%44x`JB9F*
zd-na2m#d!Ky9)&2cuqs631yCKYyqlE-X)emuHMM7jR*H{>HbslorU0$yyoTk=(x7_
z3)8z%%wdcw>35E9IB}^GyD>L|6JHQcH_5}6=jR;0`J5o-Bn)v7VFZiYd31Oemtkh3
zv{fNEIk}43E@=V>!SAk!>bA9tvWOA2VfIZY`_pI1Xl?E6O?8rM7~^djK+CLE#LVF9
zs~4_<&viw=+CaSm(?m1pIs-N$P;EtO@7Sv-z;MyKPmyCWFM5KOEEPY?Es^-!VrzmP
z*<&SVO$<Ucz3VHwR~mC3hY?R{kh&_qiIVjms4*;TYB$M~#x-E}FAIL@C{)9PABhYN
z+^d`=#MeE)mdVa%^Fj>wA;`FRDFfCkcTWYANSuogSxLo4WyJCdZVP2-+Ru>W-`Fs=
zk6`jW2&Nh1{dQROr>L5S;_-2LZzo~x@|wnC$Kwd%DV)MI)O&^5D2cDQ-nmnO-U%qt
z502B-j86n+IH>R#h7&6Af?{Lq`Tw!IN_%Lb{%@N7|I2TmKH*LHSJQGE)ziB;fr%W@
z%H`+;ybg7L2{_7Dv8VK<={M#9E2q7Vf~f~<<;eo-H?-2x<mTDnjgjbb6~z(VB452U
zrT7>lo^S6ga=XJ<6-LujSCu*!|Cfqau1KdQC#%2zsf47Y0my?v_LM&!M~i7_*0Qy|
zecz;=QX!6?#A)24>~I(L+zSmC=ggg)oD>p-u3=py%<k_5sI<}Lbw&nF(yy*A>Bo<W
zfm_-F?TU_cSxkw1tfTWXVQsADftZ*WF)68PMouisC3&_jG8y1dS-+`e!N6*E?#N^L
zr;i_dYdrV3YE!+516b5LBZs^sE%M8kcO9{O+Eqc?<dl@}p*0ueIIlZDt~;2fKYyPf
z>}Ciw75%ZG1w;-eu(mnrJ$6XYq}0vLZD?d<8W=4lpEb=~SE7yH98^F`L5Eu+$17aE
zzP=LyEC~<c{$N&!@<!>obyVxX)d5<P0RHH$lzgXky&!5n!b{|Ly<3eli#wbAiIM?!
z{HAEtrn$L{UNt+cI;C$h-=u@;^OrBrs;;z=l9Am2S*xjWyuY3XVnnv^>sN0876a^&
zv9a>utxxA2@66237F1VP|32B;veT<{$oRPr)pl-ncA%o8GycJotbxG_cF={^00?@k
zVO_x(7#MTrUS3|gdNq~3oB;J+qH<|3;p5AM!4A%r+fF+}^DNiqvG>OmyB<hZC{s;!
zH6<;ru6Z=PKqa~79xrccuOLXMrO}WWrkgkK!!NN?u4QY}*MIz2KSx9q78ieJGKYdX
z*?1uWF!hM_vuDq~?4$N-hks7Z6?Fajb={k)B~6gW%8AWFnFtAzx&gd-a(Wtzh=@pN
z>(>pSSctc;FZK@Hv9R2Y&CP~O9MuRCCHR^Z*r!HDFkI3TP`584ASkg<kN2ffxw@0H
zv+rKCMMUpERnOMM5ET{0#>W1tU1mK5{L_2c|KZx&n)7<i{>17k0S5<15aoSLxGKp<
zs+V)CKE=le`_sANqE8!{06Fyo_Mv_EFTWxwym1rYWY*xOw-+v<@qD1sRZ`NoAW=Ys
z;Q{si+2C_=b5Pr+p|v%m*AB#E`Tm$&f#>NF)d&@cytT?@_7jM%{PNDy#=+8}n9*{A
z)2%j+SB{QSprR{ZFQd`HM66Bi8#rO0d_ADfPc}omBwSns&VUXlD<_H^^d+A8uKlfQ
z>gyvz^Dpzo-4N};9T9mW1M?N_V80U_oO)<t=H}+?fZCzK4lp*EFdrNO!<R4b!jOQA
zi)#@y_vg=7el|Dv^!0^<=4Fch^ywkwUId(2dis0aN{7iidDV?mQ-*rg&Y_;3o<Scz
zOdW2|Ll@9+a^eo`C|9Q<jDdmSAM~3HxxvVo-nSSP7pFi^Pw#oM*+M?Tly!zPXi?(6
zoKt2I=eawef#(fbJp)n)wy=}6j`sBQ^bj7Ni-+e+Mn=ZTTGcu~^n!#m{GXVv(b6ii
zu%uD#E5Mbhzoz}#&6TObtcMZUR7$U4Q&ZES==rwjms-G>OM3*TYVxCfMa`?(rB>;N
zHWowq2K^Q#3W|y;fq|Fmj+X9(8Jn0epPrnQLpE(wifp%Y-Mw>%tF9De1SppNgMV%v
zwY_qlERTbc0*J3JHxTav#=nRoU~U0ij5}JPy|dFqRh1L~>n|v#uur{z|NgDUXpiL!
z0jA6>YyGG29n5~(+uD+q(%@?v#vRwFsD8t<q7j)*?IE+*;VcCR{Ou%z=AY<%uxEpb
z%$z(&jd6iu;h8@zlgnKDwc5R5OB!KUZdzJe^k#cOyv(6ss}>g)WI(?GhU;x=@&SCQ
zFDHjDYX|!53+A#3z}@NYByrh68dqqVjQ7|6-pSzt9uG^)-Ps*;TOY`>VdL3(Y4sq>
ziaHZFqQ-4Mj0sv8wxgpXbqgcdR`|?fm&^8ccI|mJhjX#j^9gQuYrA?iHK~qyJ)B2M
zEHw@e52Mq3-o6EljukBB6aT=e5rv{?XlT%^aphTASwWD_&dw;#7x)10aR8h`2ctjN
z9*uZI%Ll#oWy*U9ln_Z6nH0Eeo7_t2u5z+@Ib4hfz1qTH4)xo&Z;9#YpJyaci*_we
zO<~sP*%WjfvEI4U1lPc;<JGe1FB*D};0Vy7{2G_ZM6_u_LyCN4ds{A0P{DXY_yVxn
zJXYg&->myOQg2oE*KcLzC0d9N@2-s1P=nSaw-j*OyX$xPnyUHOy4She%hB?JUKCfC
z(35q~Qtr~yc(wdu0yQ)?M<$@Y;}R0)?!@Hf<+;SZ9Iq7?bX+m>%yHXa`_<7=@*iRI
zB(U<u1%&;1?PVaa7cX8!>I;lox}lLqm!q}_HgP*UPIxxtYcJ6zpm`_?Z=~rxt^g6G
zgk$zzrVjsC*FoI|SC@*8P7tVFgM*F9C|)ZnV8Fyzuf9u5^rRwVR=8J|)pN4v_NFc&
z5#4ss^1niol9I~pX7NWyM-e0;ApuQPHsQD#Zrs3vB+e*_PZIZU{PX8pEU#7L6J=qw
z#S#cekk*%+VMi_9y+DwQ9L|LEl9;_VupD_N?yxdMa=f>i#hqsuhkQ*>$AvC+PFn_z
zTSly_I;M{A1~+FsNxS>e!^qs$%@sxtSsHmb2#u&G%}AL|OR;(1tIa7%XJ_Z@*RLZ;
zzEKO|cW86@KB**2HNY|g$=MpAiD;+pIoO;Ijg0h%T>6BT#=ydfsi^~@DEa#PPcIE*
zZS3tyX=-YwX!Bb93y|MSe2<fBa~asKc}X82XDR5EHm3qP8ujlX$nUnc&9me6rj8B*
zxB~L}%3a*t&@^7N+W9_oNga`UP&$KQ<%ToALZgIS3SACCtwUje+Xl)KO+7Sja2o`J
zJTFzPLbrbw78YOf$i0>yvO(5ZzQ0K4jGP~Kd2I}6JjX!b!u$X!jROT33yD%-291MJ
z?)iCRHu5<mH+MgJn<TA_##y;%bma5&YADIcrJyica8q?g-S>fdi{tYqSt|G&3;|#o
zCjcYW&P35fI4}b#DI8h5*07t{^)Lu|YQe|M?3bIHyV8?<k(P#r-*WJ7#FsBUX54mA
z<QyCvW+obZ7T4FiUM~-Zo~-J$1($jKm*73{&|T_Z{nKd^k!ZfncrBXTB#L+}K#hU3
ziMF}VkX840!h|_IV7+>q5b|9bhKy)ZLr6#%$7TBQa1U$iNI)2w%M<Z9+Q>*tFf=hS
zN!dF&J-x%`G>w8VvpBTA>Srj0AXmoFUVyXIn+g9>l`FSR&;@XHbrn{t4EK!4ZvPW*
z%FF0+q^_>60Mvb88{v=>?r?XQb5pVXtMq^}D(kp(jn50Ku&5}j{d_Skk@d9@x^Zi^
z`!}wC?f8G@`h~#tt3988Y0yu%*Op2SHSJ26eS>w;qMANa#429MB@FKCT)VCWp5o%}
zs?Z!OQv!&`7LYaf`S?&mHgI>MQ(l%+SU4WaN>1PLui=))-XWB9)}@-GUu|vE@Mc44
z%JiO)a*DMgDxz!xJ4@oFMdPECu54;q6|N)1i;Ihz`T7_M9(&JVHqbge`<_=0UH~H~
zwTj+xt>W^mG6Iq-SA1t?j4dM>hWY<=dXm9^{;hHXRf=Oy=H@Dfs{(D17;Y?M5{qyC
z?G8Jo^{v^qjshx!Y2ycEuY2w$p>(|Vi`f{iT+!-@UtoKvJ<@4RZAL|KK2vC>8j5#P
z)atv}KjE|Rc((|seut?erVq~#t`F~ZMOB(nXM`#+)?n)oAMa^v@aDc%jyaU!J+RD@
z?om>!QY=>#wvb)nXO8bohwntnpKtq?%4D^2m=Ujr{N=|8`Kuds*uSspU!3@kImRnE
z*%$INeJPRQrWUBx1<SOJi-<DDs~cahAi<3rMB)P&cOp^DvI`~pPo@{9#^^*z7QW+3
zdVlz;dh7n}m&K@w)z|x34wk6fO94;qN$)9Pcp)3aR}`-2icZTlAXBjfWc|i%!SDUT
zx-BQ?%npljoD<b-I5;0S(D{<rKcHqwU(Z%aOs~4O>EKk*#7(xza$yHUUt%CIVD>j5
z*5G)a(z7IqSQrj8vMGN%?RvpaP){^4u3?T$AQRtJ58NJMh(KQ~7h57@&=aS78QHk(
zEt4|wuwF@RzbH-rD;~XdT>8st*<5wTBouyo4<{ym!3XlX=gh=k#YDUh;p4kvvqV&i
zDzvPTdl&0Y?J`LMRD-cj2FKG1V^jF4ZzldSyTI#bnB~V$cp>>+Gk5n_o#ao?OvIK?
zn4GDNO&gzI{S>I>c<=LDmD|~$>n&YLU31>3Viyo+ADY;`K0WEanM^Wm)cDjuu`OV(
zgk2$ps_niy2I}F{^C0I7VYiI0jakiYy$ti!yHnu#Z5Zo19=@N29xv&yC-n;<bdR5P
z=)|NqOB1D^dq-ibi7)8ZF`h>T6J>leVedd62_rUnVN90Cb#6ozAODkiaHRyT*<<Xl
zONsYyC_FCj{!2m~TX$=ODGBxAW!%?~mI?<nDCG}6sB;-*fq;1o-}0&(o}EgS&q`!e
zB#kj!!ep>tQQ~uq?$~M(C~B6w2NgQhs&hlosQ)zcPpMn`^N565QeliTb&&O40X9xO
z-gwvf2U<%@Y3>jKEfKjXYDxDOC=xP0-%KaG?33M-1X=S}ucjq-Q%aVLZ^FK`OHU67
znB~(USMOy_VJ$9;tKqNM=3xr8(dIijV!CNoJdLHO2)uNKSo+=Tzvsa$C<1jHWQZR_
z{tJ#aa_h5E(wDX?-)3X;UPS)FK1)hP%~`m(=SEO?*4$R-=2Mkio7$?-ieYrJb$K0l
z7h+{p_r$A1C)#^7Zj||S($aNdb>r%lquXS3n)IoJT2;*2o69U_XBhhAR}zMaGiNX*
zFWpE&Np+lmSp7|#Pf(9*v9a)Tb4lA0)jud4`cOmqI^mC7tO|cAGaa8*F{^xu>$6NA
zR8+kw97jy3AImwJC7{K-{@k_fzJ1A#!}Zz=_dowQC3R+tTv;r6{XHhuy9_xY`N2ia
zoO#PKvVZX8NI{4VVId{sReEZgts9;mjeeb+Z4-70ZoT~DgLxe`4Xvv0rN#*nZyfQD
z5z5Ormm}*f4~><({3Mt+h?vH(HXeoe987P`W*&t|1_(yecBxPiIAZc!nELyp{^sGM
z-!$GgAvn4yF#Jm+%ZCG<>EJ(C_df<4MaS0rU){h%a(YNY+NO`Si3F-k?o+d5(#lO@
zu=+;M8@8O}4RsFll<?Y<@n8I*PF7HGOccfV237ehAt5+so9*HqvMG%3*H$*`=Z^cY
z!Uj>b4{S*yHn$9$j{+<zpjz#+B$+nNvE<tbY_fSXz7ShDy7$FkHAX8l!?xJoCS?DS
z1nax=GLfe_MUIN!448Iaj>g&iQ4=?lEjRy7ax{sxlwD$JVV)3}_N1VZJZ0nho9L}u
zXM>7j%KEtx2}mu@D{6(Pas~z35=TY0X8PJx|1r7;7&|N^wYJ}eZB}D`<b+<jhDptw
zp5^-P7>~vW$8FxsB@x~dZ_d3f*VSzWV<PW;52>@2k8c8kxYJ~Q2*f8LoS?qoP8(f+
zdoZ^Z!l)>bbMhjx$NVm7nI)5KFjtnF5U_eFkJ#d+OZUYwdYBC7%>=rJd7d?`VB-|g
zxFu}_HqhNj79Z$Bzm^WjU*?OfGLv@22`1tKr1s9;AKZsci&i1N3F#`|Bf5wW9$Xz;
zKExs~-3`g<P@GtQlzlNj#h+}hbv(x`7RJbu_9gB#_0ovps-U5@_UVvTa{`;U8axw>
zi|KkCn06#`=GLb8Z>=B&Y5BMzB^lzi)O0l|R}!@8GtUfG!zB8`y2)O1YP7i_?pPBb
z34F`mv3wAsP);Ky;Kgu`st<?a2QZ8&CIOaI^k=hLJoyo(x4Q*#rET?5^Dqxj|GE6s
z`tRTQwDrWdgo+uSuEK7AbCFpHaE(4DaBCpMLufF9#_v6fFLPAf<yoe7EG-fj^6sP}
zXcVEz`v^(W<31xItinM}_m~317b(B2KVEI)68S|wGxBhAr>v++1X*)r4*FDIBn%vO
zj91~YMts~Wdhhcn1(^^1cD^N+nSm}<{NHta=y7MF70R7-qvX&_IFwxoz&X?p>Mh|i
zAid&9Hbh$y7@}FlEI$W_EIa9Tfkyh;Pf7m_8hE&DaWQ4?q2YUK>YCn*OuQ-#*4CKw
znpLSw5^GZm7k*$Ji1m>eP}8eQ!lB{z#DuciQABnP^ui#XLc1!Cx?^A~#J=QiVt75z
z_1VUF;%}SnvJ>`f%=$7s8f|qQ@It;fUWFEH-y}oF-M^_o4N_oziM=UHWGbOGy`2R&
z=EB-XGvvvY`<AB?yXN+&>ssu1!aWOfH#Z((+A`I$-TkpMcQQ0ghUf5_sT6}Umm$@i
zU*#q@s#0<pJ+A!$v1R$*2059J!6Rz+&1g*3n@3;yNi@%WHn=bhddT`iQ}xo!JeYQ}
zjmN58NCtD0S`UL)%qzDGQZf&=R7#FZ(o^+lo6hzq1j`-fl6JjHsvH=rGEk<9RKaue
z>FMe8*}Bq}#x|>%FTbcRaap3eXV_PKnCGv2o*dS^#Z#K0k+xTRfwIlJ@LQdD$?Et#
zbGSLRcgA3DGEZ1{5hL&!XIEFPs>?mUzo(`$a&UAFzbMwSvoHKV%+yB<d+}i|tq%h$
z=bawu99_90c_k$&XpCWaOajBB`uc}EO9O2uu3)8e5R7*jh86_Wz63ZwSWBKjtL1gN
z{Ji|tBqqGR2mDZ@;MZFKdx}dmIMXn}3nlay2+YCpantyCovJop-nJBx$ia0O8TjXD
zml=WxUx4r9kIZarLO>1<R%VyK27ruzg`9i}r1>EGbOhV;S{l>NxQy+s&CSh&m7=bR
z#l--(^%{zsH*ac|SX>3&Yos?<{|4*VuV3C$$#0~R8_?LZ^TE14G>>yHps@^s-<aB%
zY}(l0Z-FL13AMZlmJ{0NUZ*8470}5u-nny$s$-Wv5Z&7SbsCoh&Lg9)H4h%r$Li|p
zvsq$>hKzQ0OM7v>U{$=q#+K7L&1fAAcLgU9Ei73;k5654%F8K1QTt@hr;*6X$$=|X
zb=HGP<>^ywC#QXjaZ}FdSF6K3#V`z1vLdITXfn$_7S{kMc^^j4m#KN%g}PvG0|Ek|
zsV#OHi+36e04HK}+WzW@Klln2qB$=B9eDroqaSp;32tiwLnF_}XJ8QI2fP`J-t&L~
z?Nfu^9SgxBq6_-;iP&D7f?cN`Tmn772`<wK4GEn?W83_mq-^iAdyO8Ev~-KMg?N7=
zs2&wPy^nx$(FEikRd6{#ynAkYFZl%oCTCj1(R=>2Z}Dr788Hn_5OjcytgQI(q)lYX
zLKqXSGUy3xl!%8Q4gr<#&W?kGwDb)y+d<cZZqI=?Cw*=NIvosP_*@)pylB52xZ`%#
z{!)V#$N6*@wF$1k={Al!378N;JG41!-vzC1#ZO*1px0NfUY+zI5~+u#7ZCMZo4QkS
zF!lU^1{~vSFSjh*$U3#|6}|jHv=2&q8O&e98^HOh0I&vh0j={Sbd<ao_1*zkoIYN!
zYdJeT?nrXtdj9-5j4ZLvk5F~2@5XZY(X+&tf8GMGgLuDGcl>v~8z`HUxpu#jSl*Xg
z?CgH3_+G~&<DUR}6HxPBXJEhpO9VVQ2QeMp$Ex*OYB29Q1EeE?J%Z1=!OV;kB6`LT
zSmzatr5AQx(fH=Yix+5Wde86&uCJe;SX$pCI8f0Ciaxvbx^p^oI!!JtykD<9CPd?a
zu$%IT&iDx0Dyp8V6Of&Kw;F&bdbNN;bE!tq!+UZLy`X1BCJbQ9K){n&Cg=8+Pw7s|
zE5Q7d;E4VSE{>kO=c4EhcN(>o{$l?UKo86c5N|L6ps|jy>y9_zQUHet;B^Nm2E(?y
zySvTJffQ^XJz%CvNGtf%e9Y@?oBqmGHP5ALc=1~8v2~yoSdZNgCjFf^8ZO?4fhHPa
z0IMT)?SQG#)o6ZOMjc(<$@TRR^yWh(MRA*x0xswQCmQf9IJawidwair|89irMI)^^
z5f7?2Z{G0R&EP^XVFL>~0V{-Gj~SXEKO}`do)RGNM>^pTU=M&TT^T7O0(?d(>gk@+
zB#odADibp^zIrvT4ddhVz{&X?S2TmI)SYgD57~^cekqkjF~-+zt>PjKMELFJE<^gE
zcN=!d2&l%~Z0+fuwmaA~5d?a7hvh*6WsyTB<ZE&975Ho(x-II<esc56nSB8Bwq0t0
zndSZ#s9GZ2wsC|rhSVkm#)Kf3X$7xTIj!gJdVJfIStuc;6?AwAsHLM1`qCDdhC@OC
z;mSAdq63Ck<L0zYl<wn$h2GJB0QjTbrk-SJbdDgX{rBJ|&o^xTAh*0YTyjV7^^z|f
zb@cv5rNbgjtvBQ}C~Snf<|ihQ<Q_AieVkOmx9;5Wfdis*-*_Z+FyRBC`x8bt@8C(W
z(Uz0pG8>`^S7e+9y!ACTDw>+O|DbOEta;}L(;+-`!|J~}JN@$VY*JhZgwveBHOcCh
z3H*B3TADi!T`Dv+-@|m|AJ$pVvqMw3cNm3*X`g!@-aOlitcxO=)B~Hu_A%OGYyDSn
zn@$fsl&=S@1Y3x<>$kf-0`Cf}QvA^)4A=d&U<PqNG$#XSCJufLaQWL<@Bb7|`yhN%
z-fB<-3{PlNJ}mtr)IS6PgzNk69mDP0cwpd|>n{4y)kOrg2BMIjb(IzqmA9l<VRzw4
z+Te*VGcZ)Z5o(pM?C!+H#X;(-nd`Z_RvsQR#w5ViCkNbVn?VPN5jvz`852+}%}}}V
zhjHC-0$^0OB>aYU?Zf+{EmQDF9R?09v`$~Yf5-MGq{Wm)n+BkuO9G(;>(%@HaW8ss
zIlr>E7YF)bDU6++qd0MtG><lPwxt2adtT*IIfZ==c4(-$)^t8Ftf+^o|F`mWRv$o(
zib)`FE%S+99|34=4@^V40~bpI@P;nQ?QM~tKVKIWrH2QXQB-V(DF+@OA0HIPRMjfj
zQZQI#Y`vZySOi$gnzz3`P7hw4#?Twm4@m*tNP;sx{)myvA8svD;Oyw|cU&I}{`QR#
z>a8%Ph&%shRT%|^ABpEDru>3}Q>7!;O~CXv01Vv#6bV6GFT6kM1CykaNg}U%WhgM7
z3IX{X0$Zx%%Fvs}Mls0PX?OyExP{fTnxS@~Ez)R{GaOFt-o}Ph#4xrux>iDwfO`hu
z@Xr7;7POoB@-<FugjEr;ZW;*H&s4?Od~kb0Y(b4o0$%LARxxjpGb;sye=#uLz>jX2
z0C^?>_X1eW(R0I8<wQO6JivH4=#xUef~|C6q>O{kdEyOgS;Wd{1sOQVvI}$TPG&jg
z#3!SoqFD3tGz&0^L{IJw=4f98q{h$BKLHnOhW+y&IhG?KkyZ^bne6ftlHi6tcXV`w
zW6k0|hY)!MgULjNE|_dW%qD#n1Eh`)APPO_Bsn)I@les;R#iO!k8}IBEaQU*)HpsE
zkotM38ZVv_yn6Rb?Hv?27KWVBpJHP##Vh%PPon?MN~Yx<c&Td*9XcB9F3H=ova*U9
z7%)JltIijsZ!C*TlzBjyZ_Ui$d=jovPleDP=-l7h$}H4@YZZQ=<x^CY=Cn)JhdcRv
zPvm$Gct6ApV=p<r+m-_3JNVPZVEjz=w5`MH^<wXA#EAK2aNMYQ+6K%q%<l~61BGVf
z<s~=z8T9D!<4+}RB;O?AQ+Tss^EJ^Nyp0&tHQHM7-~CLFy{r1?@bDX6bx-@XWn}|O
z<jn>^1N+XD#wPYMNa&h#$AGZ)`L`c4665wiC(^Q6Na3!Js6*hFtfZ1eu9*JY{|5i+
B$$J0*

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e-members.html b/docs/manual/classbayesnet_1_1_s_pn_d_e-members.html
new file mode 100644
index 0000000..a44a2c8
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_pn_d_e-members.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_s_pn_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::SPnDE Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;SPnDE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>SPnDE</b>(std::vector&lt; int &gt; parents) (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~SPnDE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e.html b/docs/manual/classbayesnet_1_1_s_pn_d_e.html
new file mode 100644
index 0000000..a6f9ef0
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_pn_d_e.html
@@ -0,0 +1,337 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::SPnDE Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_s_pn_d_e.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_s_pn_d_e-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::SPnDE Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::SPnDE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_s_pn_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_s_pn_d_e_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_s_pn_d_e_inherit__map" id="abayesnet_1_1_s_pn_d_e_inherit__map">
+<area shape="rect" title=" " alt="" coords="26,153,152,178"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::SPnDE:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_s_pn_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_s_pn_d_e_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_s_pn_d_e_coll__map" id="abayesnet_1_1_s_pn_d_e_coll__map">
+<area shape="rect" title=" " alt="" coords="113,168,239,193"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a801f90d49ee6329e3d981c71bc7d2518" id="r_a801f90d49ee6329e3d981c71bc7d2518"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a801f90d49ee6329e3d981c71bc7d2518">SPnDE</a> (std::vector&lt; int &gt; parents)</td></tr>
+<tr class="separator:a801f90d49ee6329e3d981c71bc7d2518"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9d967fa3e32685508db1560bac6ee283" id="r_a9d967fa3e32685508db1560bac6ee283"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9d967fa3e32685508db1560bac6ee283">graph</a> (const std::string &amp;name=&quot;SPnDE&quot;) const override</td></tr>
+<tr class="separator:a9d967fa3e32685508db1560bac6ee283"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a89a54a0c458ab64162527e9a4c8e36a9" id="r_a89a54a0c458ab64162527e9a4c8e36a9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a89a54a0c458ab64162527e9a4c8e36a9">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a89a54a0c458ab64162527e9a4c8e36a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8h_source.html#l00013">13</a> of file <a class="el" href="_s_pn_d_e_8h_source.html">SPnDE.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a801f90d49ee6329e3d981c71bc7d2518" name="a801f90d49ee6329e3d981c71bc7d2518"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a801f90d49ee6329e3d981c71bc7d2518">&#9670;&#160;</a></span>SPnDE()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::SPnDE::SPnDE </td>
+          <td>(</td>
+          <td class="paramtype">std::vector&lt; int &gt;</td>          <td class="paramname"><span class="paramname"><em>parents</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8cc_source.html#l00011">11</a> of file <a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a89a54a0c458ab64162527e9a4c8e36a9" name="a89a54a0c458ab64162527e9a4c8e36a9"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a89a54a0c458ab64162527e9a4c8e36a9">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::SPnDE::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8cc_source.html#l00013">13</a> of file <a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a>.</p>
+
+</div>
+</div>
+<a id="a9d967fa3e32685508db1560bac6ee283" name="a9d967fa3e32685508db1560bac6ee283"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9d967fa3e32685508db1560bac6ee283">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::SPnDE::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;SPnDE&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8cc_source.html#l00033">33</a> of file <a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_pn_d_e_8h_source.html">SPnDE.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map
new file mode 100644
index 0000000..b7ecb8a
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::SPnDE" name="bayesnet::SPnDE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="113,168,239,193"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5
new file mode 100644
index 0000000..f1c4d74
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5
@@ -0,0 +1 @@
+7823db61a54dfd03f5143e755580cf6b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..dd12c33e638b822edb013487aba053715a63f755
GIT binary patch
literal 11430
zcmch7byQW+x9%pS<Ir7)Zjh3aI+P%yq)4N5Bcil4NGM24w=~j7<DnHqK#)|rk?y<B
zFYX)nzH#4p<Nfi_!GUu&d#^RujBkG5jMUarCB&n}gCK}dT@CRFg3#`RpL=nz!1s(Y
zw6EX=%ThxX0o|bfWw#b3KoB#ej!@8j`C)t3$5_|%T5fOB#=H^F{o$U9rC~9fsXVuf
zygm<i0e9*8vEJ*ly3b1w_}|?27_2oKem?fukt02_v@kT7BiObgYJuI(Q-}1HvV0Ta
zWUA!uJQI=+haegqJLTkHe_?;`gXDqa?zdDC!Ea|Dy3x#|g^|=&|NK@xp)@0{RIcyE
zn#<x&-fgIa!xD>)jcp^U{A+)I-{StLfI|j3-j}27?Cb!844YTGiU?5z&c4Y(;+GV=
zh_wgM3vuONpLaifjIgB&RM%S_#~Hq-prCNygxHEhLru;0ujk?V7`C&s^Zho)iJF4K
zLO3U95z;r5piT&BSo$TWpW2FJVdQDFFqy0EZDb1W9Z?#qAx!$TXkqIhY@%Uag9`J}
zT;-UD8l^1iq$|Ve2HUH_#CL6zepx^Z$J@VNu4Z@%Sr1WTVqsYxZ%wH^cp&lFR9idn
z)xk<mZEdakL{@tG8`LkKKhs05M;m$wWn~r)4lGWs4;>rhrRh&w`C}w^E}$y&PITY1
z<z%syfQ#*h)18(iw{!=6ef<PKabo(k$B!TXtao~1^#jh!#KcrQzJbNht4=ym_Bi-g
zgG-)C%ZsYIx-Vx3t0eUF#+zS%q&(8m5jO9D*f==gqN3zv9GV@K?bmqVPd~^7Fhbd*
zwpG@{v`WQd^?(1mvvG1N#j`>32n1$)eEi;8UL0IPf{IGe)G_|3UUa2#7o%e}D<F32
zlg*!{{)F)rCYhHoxvN8+gt9SRubr9BX3x#E{B0FkSwTKN1h9O0<!qZD9pb5b`q|l8
zn4pbbJR1uyZ|T>Q^&{`4)m4ecVQH_O?A+Y0{OPXl?rPsNci+QN)riQ*&JbL(s%L{q
zw1ea0C+FwdPcj0|2F-*}`(R^R7&kEcGSlRdqhGqXx*9Gq_p;lz^+ZS2snT<MnnE>>
zF|@p#A7W-@#SpO`l5h9F5_+-q)9B_;@uml6U`@^K_lb!#<*fxG4SwwpvhJpcIZ!^A
zGHD$YpOE4uA^AQwwkeaq!^`VXgMpR(PEn_5j0Fxy-`Ux5eenVbmIW*ZL2hntYvZL<
zpIciOcXpglEgz(b;=X(LZhU%erb*=bs4@Tzdi3bg-cPHz9F1fFS5Hr6UETK<y-(^L
zX}k~D&|F+xo`a?K#xh{Io;>d#9VIdI-M=OEVhhK>z<_}1E`4ZdsLHRc`F1(y+2+vI
zOdq0~(_T3UD%CIV>U+mZcr+_*LRYT;CY;Itr;v%ke9Td&VMa+wiJGQn&-Vh29Btj3
zwR)HN*jxCNKa3`?CLT^YwBKAyfB5hLtR6;99Wj_J$a?!WX_ntHP21TDoy^tY*wOJa
zGKQ|Iy1H|s{K;sY!=yFcw5{Vx^KQUiCwAZ0ui{eVV<VoijIy-5ttY^7^7Ao?h=>ep
zo<`;{5EBz$ULJgd0+|9XNr0(vaBu<>63AA*X5hD)npp+hyLa!SzJ{(Yxv#J9+tk#l
zw{hd5sED?&OQYTRS#5<G2#3SDBqWk!8KhM*Gc(C4D3lQh3~Zu&2I&`X+0@^srmBO7
zz5nn*6F3YT6&2OT;$miaZe!ye_vg>^zkh$k!^4yNHA8x=Ww%Y^%a<?jGc&bhy$`bq
z>BL8t2b24!rc(bN9F*kd2I-d>Dky~!u)uSH4aguoe0<gz6(x0b^`)I1t$E*rm{IY_
z2r17E1W)3?h+yJ9<t*R7>g8ib<w?-Uj}jfb{&@D<m;099J58&7v$Gjrv*cV}J}~i<
zn83F3+?lR>Lyi|}kv`7O${Gx5o0`t~O^&|ZHrCZeAP{qNbG2T(rf~RltsR-{_359Z
z<ANGwj#7C1y@K5D-@jvRy8wHn{mr2TFW}tAvyFz_<~iXtwY6+@M)!q<g`c{(JTRy<
zWrydkj}_^FTefChwQd?Wxw8{8-Te>|;eWo)S@Y>rUSJ>uho3JeoAvegN7fqgKYRN0
zEeMJ2`Sz@ch}$9}B_Kv>t%uWSFLdtR!<(9#A|V+~cWG0PyL-+Bt`%MLD1W}#b?Z^-
zxbS_-G&?)Huvc%W1Pc{{vEG?h7J(n*+0>tJPVj>Ze&i@&N5#e#f+GMYA?n!J*Qb^y
zY=uQa;xyluVQgZ;Ehrc#N=s-bN^4Z}6gP%eEXx04TcW0>CReXie>8?pLM@&RL>p`F
z&Gwx{COFCH>HeSf?S^^r>6KO{OFtf^gD+HO`3-a4Z{~at?t8BnB=-#u$E*ycDj}ZM
z?jq04%f7Cy*@9iOmg_szwtdWb)$S?!RC<ys4SD|Pv6ZEzWpMqgf+Xs+mD*jhD?!o7
z2t_3&yRDzq2whpx`;S*c@u~Wzr_=6fXmIoJL{ah?%1=y8=o%WTl^RqQR#gcBLoOve
z=o=gRWW=wL#FqnV4=|g(Jr6M3XjdqHe`n`w=b6UQg=@W!yrOi=ho3>fuZ`w~TTD+*
zQb|fmYIBjFUSI4kuCGUeb15@zrKO~#gdjRPI?WGvNLpTO2Wb^`XUh5rIZcZ~@<v9q
zz*^_W+iy%;y>q}}gIrG+0$ZE<#MyRz?yxn}L<UlPXl13KrIl6bxXzIUetms?adENG
z^vYFKbaW3$2@&8Nam)g)#6UEKd2UXyh=`2Y{xe4aALQcZ?rgug+NG_#JZZoA@^^XA
zAv$B$g@JJD>ycfb`0lTUN_8iY?3;HDj2fI7V(BF<sf~)C4oLa=`Y!D3#3pb)fU~fm
zeUrP9IX~Hrv+9jq+*|C%!No;$JrRfr3=Fj2Jvuz>8BUiV9Md}~ijOCyzvBuiMyRx|
z>8|R;YQD?JAS~C%FL;Ct-SIi*WAt8Q$<NPc=HbBuLAZBxbPIa<>J`nL1TaTPXy{@n
zm1$skdHG`hJy5q@-P}4sW+I@Il$NFgVcz)afFq2MF04O+la-Sbn@-%ZgSYZ?&}g12
z-E_IsoB<6SIqk@oDD4Q$3L;9+=ATwT-O1He-qDdSjF`#PX%-x{3Mi{F8Q*`}n3u&~
zUS4`PcqrAY>bQ6`rCzknmp_rX1Udc72T6~;(?4<DU%o82P0)~%27&xz+~|rHj7^Nx
zc_16w9ZviQ9Q{ua-%z$vIME&NL)*F&J?GtN!^e*o!6&CH=`KQEJH|2xLn3P<Io%j1
zO``&sdPF!`(q2R@Ub{$8Ro`W164}_;y!7$GfB=dJuB{dA4yU1}#sMC~XIKU46lsb1
zE_{<YAo%<DFN}eK5Z(n$0t2f7xsq8@k|rl7r_p1T2vn1Zw{PD{RSxJsE4vSA^CX5T
zctCgDeq**>9siOlLSqINOHEDf8yZ3YOK{vz3(?AuvH;6cxo|EcMsCzLH1rN6@>cs_
zd2h|N(ixRgQczI*Z1&_8cbSU@FlK!1<Z8mL{nylcr#Z@$%{H^~t*K9=z*bwcEhlZ0
zDEkPuUy@#5Usu)CpvqRY-57_=-#*r`;CD7zew6K(fANoZ=ZP0~C{9sz12|Sioq&dh
z#vMsX3$XLGxmIaVL7wc^Hw&JK6i&7Jc;VsVvUquUJ>nu4_1w@!)qrw+jn}VV|ERW7
z{d;(r&#hB9GAP)tnIY{ZPB0)~R2u<}6lf%WtfOOKxPN?nytKHeaIYY~@IjW=^73;2
z*t#v)?$c+_l))mGmY0?3B%IlDZ(=reV-H{?_fv0&QVJN`*4~Hb0z8!fGAJsiMeM{T
z9`4Nk8qpeG9}ph?D90f6JX_cbIpWfOWo=kk(N<JcG&vQ1zVV(dGKv3*3J6cs6F^p3
zT3Jy6@qYVr`$o#j)dZ?A%%>Dqx6Sxef6OtOPAP2KzCeukit>Wx$MW&>6I!JeR_Nr7
zzOAbh^E+J(M<8_d^-=dbob%b$d-Cn0UTNR=@A02Mf9@L{eFyUSvqm*t&w!8gV`cB(
zzej*HbNDAtZsMXz-@XQ4K@Vj1AI;rYAQz3d(Sw6$Qzs=MDK}|J3JMN(aH{;vvv9OI
zSvs7|7I}S;bu*GGVneVks%zpz`i|u(t&WLbWhHP5HaHJIe}Tv9*U>~?1KL``ouXLm
zsjr2HU&#5nMN5DCwVzF-CMT;FX=UWj%*-IUs<nnm(+c|r2lM{)#*MMY$tYeNZ#(=w
zs;<u|2rJ}%Iq$-dcDQkN)%aqY79{oHNmC!fKggJbQUYWe!|p}-lRRVDcBZzrHnE*)
zn<4tWw)y7$yhZAN!*X<@`$%dLg$%1SfPRJ_V_Wg7fUoj^-L%x?j}r3+daR-pcwao>
z(_f@xd~X*JRhS@l7+B2Dm8gdU6>}QrLWXxgZVrAoN;Ii+)op%M5*nPJ*pf667GW>5
zw%8e9l_l1k%9Dm|o&+<rSd0pAKBW5mNhHB(Pnv;QjSmfXGWi<;J%^X9)2(o8{KLQg
zHDkPP41xHV&NyA+w?coCl5wQ1#9dd3FPFaVf1nt_1;;~&a^7af$jJ89s_Irtx!Klh
zFY*`>nBT$)ME8c_L1laidnaqK(fY4UQy8poPwhKW-4sV!Fi+9)F}V4d*OL3*zrMPK
zNqi(qN;FKlA!u)JU>ZvRZS$_;%44IIWBRhM?~Tf3Qh46vP+L<b1(9c970Q%C*Y~p9
z&=rY0&>>9u_-x!y@mD7kV+0~-VAbLxv2!}Gxf~zCpSZRPZ`I5((6SsE*wg-Y;W)g0
zah`8PVVL-UBeYic?cRGFHbmVM9CpaSIiFywj=ZbZ=3F@Mj_8xBWa5WD>Tv|<)8o|<
z`Zzd{G#l<<Lo`Wp+NZk{m-T0vp9FR6S)tF$Y*JAz^NVToR;2N;L(8X8W`n0nOHMfR
zGjl;szDDHGDLuNUiL3!>XFN^-DSCTYscr8eQ;CkpL|+>A>mHT%F_*+A8@JJX@kn=m
z@0>JDbg(HH{PHoG8s7>{LjwlU60{J*Irpa2QIrqVUQ7+yvgVE!<3&>l>S0H(Ba81k
zJ<*5oNO!}(gp4=LS6y`EOm#UCl1M@mbduAUn1|2{3Q7y)_W~LJaed{&(``za1)Caa
z@c|W6gnVl1HvaWg*_TujqG5gc%3dDr3^USJ==i1K;+GVmPE|@L<EK&c&Tmi2NQz@k
zf-v_wzlWHccuZOg00X@akm0StImIjXuT}So6F;Ps^8GAoxR>0c`E!k5H}Le^tV7^<
zLPDTpk$ZaOa><a4t8G0g+ulBt!N9H-*&+HVV+TvdEuzp;+p6g0YU`TL-CC2>0%s=7
zrq?~_u(g1qjeP9A$tv9}yvJ`G|9}TZmgn_&;+`7etU+sNTl-Z=HfdZzm@9!iJ+{rS
z`r(rgt<3uvfxT)YeZYe+qsb3#;QPJm;eDUn`DWO>GMpH~t$8g=dR0jk<jr@L#8YZS
z4c9<a{LNMT40Sz(ux)xC2F`faAREA~{8B@&v7x(op`z~kH8+Bg5bxAY7VMDpog!R;
z*P0D8x!>46y*Fnn%8`J?08^;D8!w?W)&dz48Px^X#B@a{M7)V8=zYeQAa+~H9B(5}
zTaA@fi?~_)=qOp|GB@Wf$1nRtvjM$4$;EjbdnJx-HeOZLEle02Tl5?`T&vH7%*S;T
zD`O-7$76pDy!G+N{nu2>6}>YcwuA#PSG}OjBsQ5AF$Dd)77pYz2pjQYdsn=!pZBd0
zK{H~)6Z*i`4+XP03ZB!=lPuB@X(4He&2a4V#Lw}a6wo+Gs^T#HQ%Z8pn;b05_!mYT
zyDhsy+KOQTSbMFIe?&wc=W<2lxRc-f!Ph6jKg8W9JEQ-MIQ~IhR0R{n?P7#)tu8pG
zip#pqe0fxIrEW0dUp`YO1P*CfUNdEcihS{gxhfs!qMLX`4LsuJQ`_z<8=i((jFHZ+
zM>p?gj{b2e0(B{+xfJFLCG&Yr3R!lq`&-WDJc-l6n2nE()H+2HunPK3$V6f*Gt*Pm
zrTe=^NuGpuAfRtfwCqIvCJ9Z`x0ws_v_>94)A$+BT$j%L+Xqd^N}0k7Y0_#F_@<>T
z@zDYv;b>mkzdu#jNgEnwdi{zz(8>eLT2Zl!oCWd9+<alDIZ5*QnzoOI#^4D+Wb?GQ
zpQ_n;{1{K$TW_L?!X-NoQXImx2uJ*+U{w9HRM9`PcI!U2xs6>8)7+41N_RxGT)KRY
zb}gCW5Wk>cgL6f$5gE~a5ehPnLq<+vvW|v@1;-a8+!%5X4U>s8Q$>HSWtr)hjwkiT
zF*THbh>eM<i+%IvQ@fWWoHU%6X~)!a>Z4ZHT_>BT3|feu$0PE--p)G_2n78EnNR{w
zLVYyJ#gah(48vXDpMzapa0+?yKxJqva?OJ!gt5aH(pQXV$Hu~HBZ5F5`i+M?s=V={
z;cEt(Z)!%ym5QNZ%H6wnuO&kj_d&LU`XP77m;evY=zU7c9qsshCx{VCTOj1rvL}LM
z7unnERb5rp#|&RxSXj7RnMdcRyV<qe3CX^nw?_q~hstY)L}ezluwg+}SR=_1-uNu0
zB#L}kBL*e9-ssdyh{}@j4I<Q*K5BDWM%Y?wYin}?8#6-4rlzLhyZ)Dr<%&6{Nf8sa
zb<?q6*%;K=kbPZq2AjGZbZP(qg_NO@(J^aoNn~W?yPBiML_lE$!fIcUTPvB9p-FfD
zS$ox_VHpVf-3r!c9I9B&1Vz|hjpQhO3JwY)LK^{_SLNsD=fr5Fpr^mYfC%Wsx3B_T
z(4qx-d3{Lb{as!6qKdNoo0)}#T<HQ2ploffObl~nL_mw*MLm~*K-*RC1xMe=xPGWo
z!Yn(clRs7^$sPsHyqoL5gA!e9v_O~_(;a^G?=E_#9Pk=wK^?)l`)X4U$_Rx$z&Jh2
zoYcDBUkOJ8j&W(}<m5LxJ$()jOpYk7X!jntHs|(2E4xJ!R1a%qWW+|dSRKMREaJE7
zVQd<-FTbAKbu_@ozY;(jiqhPdcG<W%I5>#8BD@&bBxzENSUmYW!PFrZs`wCe%Db<e
zAgB%oPmkCE{M=o(5N7D~Y&B~ZP(LwmG|Qy!et$YXE322qierZNIwb-_RCy=fD6i7@
zo9Cyh5l+Z89&=fA+?!4PoJ4*;BqYQQa=kotqk_KSvAn=xImTGa(=X*DeWzVIt^i?O
z?@t6nAIL~a3rXMI0o;?4RE9uO1c!uPIRFYArRq4-qO>0B<_x&LWEHto%K{~0Q@7XN
zV?W;b0X=71>jxQ3BHiAkv$L}((pETd78e&cnU{yhpA(+Qrv6JMn%XTYA_<43P1=1)
ztq^7@LgI%H0TA4d&(akNGh>u=XEP}pGvUZJ11-R*ozD2Q{vN+-nKJ?|Lll6qM~izo
zpY#xJ1h&`AAFTCi?U2$QqA<e0O8At3Wh2(>J#Jr@0Q*gnp_P36L+8P4#kmn^qE+D=
zpyMw$>+b40)H8bnBC(;SW`mHK_s*R=d6M={+jm4$-Mn`HTt){@-m*9^6t--cVXxDr
zyVR0nQ|rMPd7E8i&3>^uU_$2L>+AhBnk+~>hVp==DjxHi#4WI}-{g@-EqOi^$;46|
zfsr7L1x09&nsw{t;~R`-Emst<pWB=N{bNROcb&(JA-bB9%~*L5e41X8o4iyJDvUG=
z-Me$nY^>Z2UgVk_ETXIREefNOLQB=;4xszVEtE)V2Z}DeL;uF8{8S!q<sBnxt1`Wa
zJMtRcdTh!)qowYX-|59KI9~;b3BAgk@f11(Cfj=LNXwdp{_+jZW*6~@*-}LjH$Z-~
z8iL$Epsu^SXLNGoGn#I;HQ4p9YEP*<p1@Awiprms!DWue5B^fJ5n-IR>XtCbuKs0R
zcAxB7>TD<Jp}pT2MTusJX8v_$^f!LfrX64URl?_^csOIn`0auhLmv|2sDP0Yh{HJ?
zbVZ0q6j}C!affDa-z!UO$;7Vf+<h*n0B2<T&bM_B8FC|2rnZxo^7)SF<2?Mhyc_JU
zdkQHHcG0KCJKj5!OsXl7kbvEwlcIIex$RO#WPe;QxbT<EJzscWC|i}3v9iZ<#cJE*
z<ay?WEODtpVfvKlY7U75sCB>B?}P6fBCBXI#7p{NVgr&;rtF4)85-c>lU|Zl(*Lxw
z>DeEN@VTUa*_e2w%#}iY5qpiH$)RLp5RLn4;zV|r&x@hVbD?y#Y|4?5RUGHF0dp0f
zqVhxcNesx0NNwK$=g|`*z1m`C8-6OVas70a$QaBaxVc?p)Li1HBtripY@Wb7XdiT?
z$oH$z9AIrt8U1i$WfDmIZAT4%UeCpF>vbg-#|24bu;K`}MsL@?2x-t@S_{?$fY`UE
zhGgUy70p=#_0m<}NTfTonh|Oqvo62_$?o-b;nJrJk<+JX>My#9l7&=`Xm&PL-=wl=
zt6|IkHhlc98`Iy2M1&&F?)GCRM)rDnX3~x>R|>zGCEnT*VszN9u7zwSM#3!d-S3X<
zzyJK1hbhXicrn~x4%%V)CR#GqoyY%xsrr%Hd7&}YI!nl{V(v+nB9MmF-6uzq9uJs6
z4%93?WS}=BV_;xd7AR21%p+H5#6z3h2M%eJn4Fwf^_J;q>IZ;yB&w>ar>CcVCRh$R
zfbQDgtZW}JQAzK$Ldg^V?1Rw4Ijo{n1C<hlk(wR<Ma`&JFsLx@%vFA~B%nmu;4+Vt
z-u)a5npTk0VV`Wisd#%gFCGO2p%0}?5Em2_+^@NwnK4HFvb^jSFtrBMiHN8uMNLft
ztq*rzkCz%q^m{)(SR8Q-21H(!(=YL+!I$QsVuJKXXnI#ni~<9TK;F_44yZO^i!RK|
z^Ucb={ryhRMWaEqF<1^0Wx^pwR=k3Os_yQ$+0@Y?z-2OXbK{~2NOunpxBcH=I35dH
zZ86%{Nv!~q?FS4{<*cCdhr@ZexUvC3W0X8NJj|{hPy54K@71eU`IDOtLzA0F&kt6H
zrRIyq*0}@)D?6QDZ2XAS<<Se?q!qTr3=IpLu(bgtTNLC?IDDY5j~No%D0X;4y{Y4O
z#SZ^_d|U`96l#;gifwg-u949_U<s9Zvvt6S=j)gL+Nun{ZB449G&Vk-2-J#xBr+@n
zChC9r5^&Fez6Mk=VAqy5HtvC&<b$n}k&O04l5xY~T_dsjr3HXo8LcpBiHP8mluQLY
zc;CcC5+LN)GQ8%5F^4a9+aD0i9>OH0q#h*;n5+S^2!VKh_V<~)t7|skcj7;N65%Gt
zqZN0grXVM$cKT%2?hk61gM-5~U}QiaZ`>5037BdnKfNMB<3@Rii=Djyd5mhSzaWvM
z4~Iv}P#aCCo&-#DvERk9F5skDRic^k@$pfQcp!K6zTWAV$^+S>_c<}m=b3<U2X0yW
zY>?93%`FE|@qiUx9eG-Yr=vs$0dij3*;xQ=G+IVh7Db#!L|_rot4Y7u67p4Gpr=Re
z@x{)Jx`2Ry?!$))2m}yJme$tPfJIRc1_Vc;*SueH)SEZlva%UK5>Wu$T{d9k6Tm)~
zS66kEm2Z_BRtJR<&?q9jz!QNW@=hf$CqJLf-OH=UrR@x9n~o5R6V>CP@cY}(S*Nx8
zPwqYExOs*y&C}`4`MIuH0PjsO>Qq~OPDn{c3-70|?e{Wq!f#KX4A6!XG2G)xjEWPb
zX<<4c`yWW|Fu}**IxZ<G6h91Pno*c8P<ceHkOY9mZ}XFGYHogHYRU-6?eDgtwNLv=
zX~pcx0lVgcVtjyDlM4tXAYTC5MxP&1VcKe6{Os~{{}5b2=akS_J9hBDsO#rVA9L&+
zQNE~j{>03dcGKrs3;=Y58$Rqr!z-OsLDR(oCe7J^xev25Gc#LSS^{8t0k}<gQ4uFP
zI(n7&k-edzAp|)(Itsb{Mr=*j;Y(!@`5bR`*4m9h5Mc2~Y(>|8H3)hiZG-}H+2U8d
z6HGDN=3C||2+wMdRV|bx1(=qIn3!_?xb*b&#rc0z%Y`LC>3aC+QBc6m#k`p5#csgO
z8z8F$7kg(?|Dr^m|9E>nQN-eh;*LwwUyEV*4?Ltx{D0wj`GbOjpcz70pzs*Cycpj5
z^7ZRi6*o6w=ef_37TsYMf0z1!rqKyF-@O6eO7p|D(Xba3Q8!mN#x$nLX;HmOQxwPz
z{Q1)msA!+39sbSi3W?YAM;~#^$+gdcl?q>cO`~G6tA8k!@zwRgLX*d8mCuQ@W~L0y
z`uaMM`NA3+Bp~x|nX+mc8X}mF&CQvCQBkU_W`@)_?8W~r_X_LgmjJkf40?a>S>38q
z<{dZmdH)Ni@-e_f8UoQ~qS7pGw#7@SbUZgV7yU_t^B15g3%ksHrrnf4EqC4j!r|UL
zjTLd<58>gR*%lo&HJqlFmITF|>=K=#M<7J(>WuIR2=W2X9}m0$MOd2ppFP_E8YCe5
zU?f1SeuD#<G(RsfY5~rRl8+b}8S`~{?9LC@bxlpRq%vZ|KpX(~T-x1zU}|bwYt~dC
z2tfo7P_qDTe~|W8zKK@;2!u|dW)4tFXq^%wY_BiRo;o;a0JWJDp3AP0q`f=WO1M2E
z&96?%|D-<J(aEWQU?8fjyu5#Sc-ZwQtN0v{oKAq&Hnqv3{XTz=6pcA*t@xF@(G5zM
zp2a;|{ls_g6dIgoKMLQR%m-8+7Yq#ziO$@ueX(tXM?_Rn*E+zvFj;9<DQ*_ecK$8k
zTFK_?2jR21Z_U$eaHYo7+}hgrK>AY!70ynZ-_r@-%Fp}lH6Xor3x9)z6?H*)Uk8x8
zqx*k)*Wal!=78iUw%%;`2ej#oGKKvFASs7QdaNweO`3K$y8T%a2(PA$tjrX_0Aa?)
z&faf=WyMd+WcS|&0?--99F^VO-2uhU>_x+mg(h@GB|zgNM4wh30{bnZ9&fo+k;kt7
z<06*P`b^_PP=w1Ti)dl1Bms8i#;A%=ru-cD$*v*%IJ+AC^>Z?6tPTuPjzJTA5kdO2
zGCk4|?tn{=jYnepLSzo&;GOYTXQJGZdvGXl;ltywcej&!hHwB-@>~;FL371~xU$*z
zRReEN5C9}tsuV)SlHDqeR=_4?_g$+dv5C)`1NHu2z)vOw?nCbr4=_8M{d{D2tsW0W
zyV}<1E7$aRKxL(0$pR4}cDECIh6upD^>9+K<eP0W*#qCM+q=gX@mOo2?y|o@yhLy-
zlQK}5Uyzsl*~_-6H<s4nN(pteM(i94AH{^w(6|ESBs|oI2mmzJ5AIXrBIQ$K=K9U)
z?t+X@p#euy-Zd2b<5mX@C-0(+ZJlJoSWNh!C#T=&mcl6+LiRxrSrx29V_26|L<j8L
zlQ|kq0YmqUMU73{=vlKN>@(c5B)zQeHquaoyaJw90>8^(GmOgP|CJN|pRv$?KgfSj
z$p61Dhq+UA?3g`$njZ)I9W>+FhisD0?nkR-cQ=41pGW{fQFjME6jLyBs|tH{aS;vV
zp)0P8ndJ(3N*Wp(sd9Z@FB<E9&2~GdH^IReAmo+>g2nREC0sTnMVCAO&ycWm)f&us
zV1wfF5~yoS0tHj-?CdN+I0D6a@Ax<@E{?d_YuEXuthhKOZ46S#$;v7i4FjvAyE{)|
zdv~^l3dlfVcAT7?K&R^*94wu7KdC7CSZ&qY1(Nl9XJMMXcZD?Ee0%`>a4re_dChOq
zOb#H8{odc|>S{2}vb*s6cMxahOLXv9R2n2DB_$Z7m-D9wI|E`V_}}PvA%6E_OT=-$
ztyN(Y3^gG1^(o1tTFgp7{v-^z_%&Z;)k_3>Sa)RH>P-QZ95H{x%?{Nx>yKq+1PI;D
zs|=tGR(<*u3@g0qGE`T`1qO2X92cRjtBa|s+G{k=sZKgDFkmk`@UeXO_ixL!=gnA?
z6iiHUAVpXKMJVi*xVU&kT%4-5_FD^6)Bp)UjNOMoRz#Ialxzz=KbqLw-Hl^W3ZpIr
zRVRvqS07bN_fAeEh5~*^atisL?qN-SGol0>SKj1iH2}#Uq&)FJNxr%`>5ZllF?Vu`
z`SC;7_hi-!6lSn%Ff`GTubxn4(T(+UYHATAI+4JZoN6#^pqYC67C>M<00&liZtA0I
ze~B)fiwg%xeK5rZAo+FxIW`(dtv`SMWCn8`vOdQMEiIxXL9<veufqr=7bQD8ZXgux
zfl}X%L>7J(PX?dm=EBR&+8KeO_~k8&lIz}rLVjVPCCKlPwo_U}_P9OJYE7J^WzLoo
z)@EB8MxB7EL!+Yb$jQmGi;MegTkG}@4@1Jkv4KeZh+p*aCNjs)8elq>kd9uafatO^
zKF7JwGywYH5E6cwYxN<arNxtzlLLRg(0VebBrgwLUR{weFvL)q`H}#+s`2GM9DwPO
z1{bsU$;p4-2)1<qX<69*2bZlVt?&7I5zv1XfU#Xq_bhyYAcoQv0dNfgMbrw^I%tP+
z+qBJ>hF8B#9ym<f>2LfGKvxC!uKYAyT+GF1+z1;hdJqmA9Ljc>tQe0)lxpF#>;aZz
z5!g^3i2B|qJ260u&joWqVn{kMT0+o`ph19#yYqYvCL<$*62Jjym)a!6!729e0bhT>
zP{{bo)!#uuE*_qb;@@Ux8T|eIPtHneR(f*m!jRE47~m>YsLanZ0g;MY!kHd)3kxeN
zSTQQWTU(BRyo2-d;)9N<0|0Q>{ol%<%VTC|N1b@cqmmw=ZRd=wqdX8svbDV}Y&*gX
zbZ9KlYXH^11NbBf3>IjU`KoYwT@cbt5kdp79VMND(|((n7z(<(i79KRqB_u?g+b*`
z-ZPDE)G{xHz<ihM`giu8-rnwk0X!hi^+u4e5)3kci7voJVnF~)qHOdM3|wrKPo@Cu
zNsW}`1xOcopKf|DRiF_u@a#WJOCdxIQq+Ylo||F7wn{j!!2?nA0g5<)FB;x^X26rU
zcW|Ht=1fqw6|wn>^3RT0)*3Kw#`mPYY}&i|`8v9UgoI|+-C5U=sU{DbkgzbzjzF}q
z<&Uu*Jc;+#o=fF9rQItUL(R>B;Ua437ktQAhBqK^!Gsjk&E=}xXr-B4t;;-P$E^Hk
zi61~4ZAH#Bd*XvhqVbje6zhNZC7ATdncTFnut0+v{ja2qjg4Kmr^U8@H4wYB9#MkH
zH7w{Q7`G$b#RqW+CZPybQ-F=3ox6NJb90PLeuwWC-!~Q)<A508;^LAA=n!=jU{VPs
z>_^1LBCX<Nt!*1N>^ztCtgW2VHh^|+_{o|OmB_k(=C!uUDk>^w>zBSuPPV}r4l6F7
zYX&<5IpO2<7mkVZeSTGIm3X#pZd(-<tgjy=gTb`TA{Z(JX-o;IsSpG}kAkyv1q(H!
z-{C{9#CttGJ<QC^9WX|}^FsxY<3N9T3*H4ft15t-0B&KCm1O{oof1IL^z`(oQM7S7
z(W5%t8Cg#OUS1KttfVCCm)mpe09c}?27k8tNE~{%TF`+3yAC803%unwa^GGXfd0!%
zUx1$$QTwU02OKdy42%{!HG%8_eBsBb@Nz7~!F2b#s7OUcMdR~zQs59F;6nmN8S3sZ
z!eAIWpx9p?3`<x%dlm}fj2etd^tN9g34#%a?*4vUFg>ASY)o(JcciD}1H|+W4Z+rs
z?OzR6z{Ff&ju51YO#gE`E^@qLT^>H8S{$%6Ww7DQfa_Pl4tZj<0Ad450F@enMKLik
z7cS2ZP_rdigtVB@c%hS{BdS|i0E`I|gbpY_=pgjKJjmkFq*-MHr4GuJU=9-kK^X=*
zqs1wktkA?ny}ISLn`<B6o2wJCxtob6F5`C+ZTN}hnp!DJecgSs?)qu^XIlIF-{s@u
z15Jmv(=}MM1?b2dh2CXl#euU^!a=JuLizkcjKo~=sOhU$l7KH+SX;vZ10LPJ@UHSF
z4Is;+W+oDLuF6X9Lt#%+c3S%$QK`qjO;5*<QNbW4j#DAjkOX--DLFB*e1Wq;LJpW(
zM@vhq?yHxlXL+?TFa@|P43sbR1dj3ZwgKLO6H-NLt+V@j2I+z82I&-dw}2K8Huu7;
zPDnozkbtc_Gfly$agjTBs6of)p4^>McB+;zUJ9BJ)I{IRGocCi-n;*eO%fg!2Z<jC
z00sBt&NMI#*6_9k%i~MV6qa$jzsU}%;lZC>fqxD2{^wY4%=!(+_F@l@WP<inFnA29
MD{CPt6wQPF19)D|iU0rr

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map
new file mode 100644
index 0000000..dbf5b3a
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map
@@ -0,0 +1,7 @@
+<map id="bayesnet::SPnDE" name="bayesnet::SPnDE">
+<area shape="rect" id="Node000001" title=" " alt="" coords="26,153,152,178"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5
new file mode 100644
index 0000000..fa18236
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5
@@ -0,0 +1 @@
+e4818c342999832413f96ae3dcaa8265
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c32bb165a9c1315a3447d0ab5f36690078322c6
GIT binary patch
literal 7614
zcmcJUcQ{;apT|d(1PQ^TL@z@mh#Dn&H%Sl?y@w!b^g4(x`Us*&BqVAObudDr_s%F$
z$LP^B+TNabci+9XUHi{o4s*<K=G^zMeZJp`dZM9vgM^+00)gCssVO}Lj}_p%_8JlR
zsY+2z1|Eo>KT=hKTwH#=Z!AcHK$zTMO7hRVGdE`fpFQ(9m)*fI(Z5S1A|yBsTUZdK
zi~7RNd0t&HVYNrw`Md=FV@%qJsf5Zg<qYRL#Qi9KG)i<&?P(~l9h$B9hQ3F4vhql5
z%Tvlw0-Lui!l&uCR{or|E|*>tK25OL!3AWtCi-FePMT)7eO!I!YVaY!tk?cNjA8Y@
zs-~v1+=$^Btr%AK2q<i>Crh$sp$jf%0>9abML^+GfiH*^`V;(b%C#k*JRqp+&6IF6
zHi>85*AEB?C^*qMGYV&|4Zl|L{u+BnFnc5`=^NHyUhd$_C&*Ig>eqYHgw<d$c~@6g
zvk^Cwujozh-Ok(S&Ap?ecJR{4i^<)EpV8jyB{fg<^&{KbRHi-Aj%p7dw!9Oxgg`tz
zJiLGZq%D6r%w=0OB_oR(wEfW*%kX>3zU+H<H>pj3_Rlyb$(s}uuYdhAXOwUyupcko
z+}nHL)~mNvSa|nie*U2{pA$7Rb6i71gA<c|4Z7SBEo$80O(8btFZ|7rPa|6@s?H6w
z(0DZK_A=||&!6u^UQ&`VOGQph=<}L3(9H#2NVl}My6i5&AVHH3ZPkwGfuW%V1ihi5
zA-Lgd$Qd$-+T+Jc^7432b;~q#u_|xhzO7wqkVa%=Fr=oYwr@S~KNbiH4pu{ewG@|>
zZ0?Ka4XPn$W;Z?2BO@bUtE#G6&&S4evt<Kk=l2{$8SL%s>StEITC~1PN*XRnFV^M3
z+gWolZ15H=(8!va_f~~(7m{a<O4yI_wzai+)(4)S{(*MBc|&q#b>L!lWKbs-`el4Q
zEjxQ_pH8)m115U^e)*R#o!C9}((<yPn3z}}r~Kj35vEY5=<}d0H;j^&&rm6;Qwh=2
z*_mrvR)9ju;$OK^>ooHKu{8AQQQEtA+%=X}h7t}F0@l{n2q-Bj=`ChvjS}5%HpTFr
zKbV|Uv(QwtfV4c-`26^Ia@82R?}`y*iBQcP8TBlU_Dyun@c4M@-Q+jI);;DXCRxLx
zw>2`=V2IV_<)2xSUI=JXQj&!8tW;eSPYn~H&wNXm|IYWT%Z{pWud%B(9sx%)UIfjS
z?QtI7OkLgGX<1q76_yEpMiF`K4<9{}@ZK>`f6UdFem|O-nRx{3K3(yGR9joyXWYcg
zV=}d?>!GiY&+k@p*^fCnEU4p!XfpU(%%hO&K~YgrBJ{CRAU28$3bhukM2MxO&LpsF
z_h`$8vHJS@9WgQ2aew{{J}*yzk~50Sv9Pd!ogB0hayj0a_n!}=ofsHsuBZ?K>6dcn
z&K)T@P6Q5z8yFcqivHQsn<3_g+s8uruik<zE-cuJW*9tq()|8CYry`Xss<V=X`1Nf
z>U!M9;Ot&ML$eebN>FNs%I=riyB>Igo)hBcj=Zgz{WfRu^L8KZS8-oY&*Q>pcYS&o
z>mGD8e#w(uoc1gqT0fYsab|(-hLFqrV)B|Ed|@_a7ZVp}t)bC(-z@ROVf6VK?qKKW
zNY&k4gxP;berai`*{No6F<w^1*qHG;5q`kwZ&hy}pWKfh2}o)0h4xx2Iyv2gunG%P
zJxbwyt&;cs{OrV{T>mS`goIF#6$^`tiOI=?2wPj*X0!8MT9E5dPR>rpZ!isw@R}Mi
zb`B0fIL;m9zqn(iFewdhv$m%6@+$_2S}+s}Yx(s(M4pnxe+LgDzKN`q5ihFz^ofu@
zmIyI2uO3ZyP#w1w<EB?Hypkd6*b+=g`hL*XcjRys2kqcciD{lFw_M(gjJ!s7o#^wk
zyBl*T7B)7v$Tx3V#!8Il=jZVt1GXai_3n3sgoQ0CC%<}an-=SrUx7R^G$g5<j3K7t
zV&&z%Zed}ermh|ah0%#QF?w!Jg@F*qFiKETP*8OA^*QNjnw!5rt<x<E`}y2u%G$Za
zw2{8733pf2aVpdV={dhM-|CIY@_J%mfc^G&Tr?U@<3YpnKiRBdvitM9ou%AmQ6<5l
z236zXZj*@|$`Z^GuuzDfa$ibMorC;p2_yY#Sn{N36cV)99&fq7Iw<bBK_}`k5fmJJ
zMM+5s0#Q&@T*j1u8+UPW(XX%~{$^Ox;7(0PcTHAS_HAlvcUIG@`78AF^smlOeR|#r
z;&-R=M|?Mzd-#xKtk@vLZ@W>?N$(SGZrlb<x?bGdG;~P#%+T=7+L~R&KWd4Hh)AJe
zm`zfWLD;6x!E39;sOCdmU0o|}e&u+x0TXCNCUI_FZLOo0v-z5(9ikaGjB1<+A(`SX
zR}2gc^qc%8y1Kf4t*?_dnvz2%kY4<t0+(O)W=k`GIBH5C{6$GgxdfSY>zDrg<%_(b
zA-&p%h6YAKK|wW5O;rmEw&#|XF4!SX0s;b7E-n>QBG)#949I)kA}upBewM(c4hnxT
z8pvw!n#~2?S5#0YCntlrv{k(5768phNmW(yABi)JMl*DFc6x)(aG8)rqa@KkgF!2K
z-X6!4RXTH69XA{2rr9?A$=9t?%({oJ?Z*!RP*R`;5fc-C)8_@-nknrk3c4H}C1uO;
zv9}CvHIGroU!3ReT{Q#@1|w+JF3_m57vtlLot>S%PDYk*ShCWU%riMOq>$0uwz_KT
z>+35dB!tM#&Go-HJ3`NdiinAIZ~ka+-@_K<cusM_N{wpb3`<gwUfbXt)HaBCD!R@U
zxoN%K6`!jZvD<XAwWuk324w+7{^G?8vXcRwEKg)sS;H<#l_8(Bv@{m<$L3}^pQ;Fl
zz{+v-gL>gUlbH>P_2@j#meN{>(S?W9)YQeLrCVPwFgbxvdaqu*_|)*W8h+y02PXLN
z;gl{jI2m_B%{XDmWlx(weE7gzrY>oh^zpRii1Y6$(zgcXFKf&ecL}!X%fyb+?dQkY
z-@;_?f4a>`Sl61R;pF6$35Dg<<4}h7_V$-;^w$yULb}>vGB}Kswtn9~SZE1@30Vr+
zTj{kw%F}T28-C*BBa!XBKrD4QVafiZ<^Fn-PV{VKWTc$D{A;8JKX;5bL%}~u;n%A;
zV`Jm#9FJ=)_pvvvk{^1+S>=B>f2At@Mtj`%kE#ffpUC|>B+aKMU!Gy6O<Hf<7L3q5
zo1^uwSmy|{XItsGr}B#p*3!CFs)+TyU{=X}ROBj7)~pG6Zx?pXk4g-1cZ0p*EbX|b
zL`)1Rh7^~GvCYmLaHn0XAcc8K5h&b{<D)=%c}YLy3f^Fkx++dcsZjQ=Ar=meNSe_{
ze28L2MrK9cHc#}rNkjc}zePtW!Q|Jc)XxZLaRNlsr+`3H?fC2wzgA2gX{5Zz>o?pz
zS13k074cpS3sfeZwcMwa_r#ODsc9-$a?DZ$o%cF39k?M^%yCq%dZF%7gr}mm<MK)k
z4wt@i_yd+jXtK)bqP%6<5J?!+dNYL5U6E)pJAfA(&Kf-3zTpX#BP_~m*HJ2(i3>e1
z#;UO9)4*4A@%MG9RES^UPI9h^7;#=dvwb~sg!-~X1lA1i7>)}w38RBR<rZH?97myL
zma17~bl9&bL$;dij>0d_PcBNQ_-D0wjAeD1%-ag_dscC3^M;XM!u}bce@D6h!gl{J
zPrz}}O?!KL+t5E&X4O88JWfpa=^-uBce`dxy5-nmLm6%>J%6gprq+k&;vH(xA)GKn
z`kOZgQhQCuSKcq9atI&0*|XtCem4)Aahk(7Hz%r7_x7&kNvHmcT~-#=kN(TeN}fU~
zfl&FTJk4M71O`tCDE{?{SM~}0nGzu%KSI4yeu>iZoBr7AmyJK!LXub7^ta`l@85o#
zoZJ~dK00c#IaOtAXXo1aCsu`HtkfhrC8c|P`jSM$Z!mnd>1V#gP|!C$I(<xjmdKYD
z7An};6-qu@r2>Phqq}?k@b~`-Gnd{URHdZQ{6$04;slVLl8Q>}$&(->r#eEFJPJ-u
z&U+Hu9&7;T?(y@-&v+c~SP&5sCPLTO*7S{x&{!9hyhKlABYLy?%a<<}pn4<DN=izk
z0?!*-F_R9WV<RK($X<)qaKYQR3(y|DfS=0C%bBLq?%UH~`g1f9#h*X329bG))05i3
z*9uYp0Vx+@2z7OJ2e1RUQ&ArupPt^{ST`?IrZx41v$L~0yV1LLBJ>XtKa`_s04*g#
z0qA@lU&n55_Xh<*F54os&K>)di;JskQ@=!)j6pOeEiDb&+0vpA9uc8kH0s)sz~+Dc
z2eV9jv7BnQvO1WDU0iIX;858a$W?@P4i{)@7Yw_c9B%F(9DI8CX(8s8u)dxi=38$R
z)$OMUDBwL8OkWnXb7{${FGEbTbh~SFyXhnj;=M6ZPPV9JYTCE4;ecQY*|6o!Jm{RX
z{PgJ)qm;LRIv15qZ@Mx$Ir*CV1E<M~FtBe8>!rvgQO1MDiVB3Osp;uXD>)W}Y3FY`
z{$NywWdC0=l003bz!J<nVIiSa3`RBjrvgIi)h`I#-+y9c1n~Bc`PPWNFj`Y{MMeDX
zt}cKA`uQI}?(AcS!Ma{JI`Z++kcv6a_F#t#k{TGTATiO=d6N#-KxY6kaXhHXBH@^{
z;jP@)**VYP+%Smsw6^BbxtnZ^<j}i1IjHYGT2P8Zdkzl#Crp$_Xq?RIS^_2nadFz<
z5rU+oq;#ER`>fp3$a;_ra)kHJo!l8G8xN2Bd%L^h?yFDoKYaoMB1%R^#?@Q5%(PdP
z*(VfQ=Xd0UJ2|P$&kwh*OasUIco_y@+wrib?BMWlQW@&}LExWd+Nn)XQ8BR^Ka2is
zX`b;4+d+1jqiHvQz<#1tYL6Z*zLyWNtuoAF_Ii<!6&qG5<57SzA)GXrL)%FKw6DR<
zwo%J_p6sF{DL4ec7WqiBvtJ<!!MmGGa&ok-s-|`gjJ2;G>$=|F-Vlfg{f(4+CT{>P
zPdJEf%phrbbc-R7w<#$t4x*MVp~TlnNfq_=>7Ht9v%x5VjEn$S$Hu{d&!HLz_=}*T
zvJyQ?MMuXSSUPG4$TzckQrowYIW{)-_z)fEe2V)g;>}I!i?3^Y;n2xj`*3h&X{K-)
z48jX_@B<7+^D4t!-6A|ldpt`!NMDzY2|<U6uXu!ngkTUtAfe&mUHwMo&j}Y67QR|_
zQiAmZA$+xYnHA`b+=d2Y<_*B(?{jnUKqa<=^#1Dq#}$C@$B!S)L7~<j&H62S>J(nU
z9cu`?3^JstX=sSDG$KG&_hd>`&RBxpqwMD97Quhh#&W(`^OEWgYk1(3UV5%4)RWeg
zo%Sg}fywFW(xmX4#Q_O(jKe9EjpIWOw`QV;hMr0ogO(Q#_#fbV7?36sK_Ft}c6N3N
zDJet<Zhn5%$B(ZM4G(Jpy$)2ealJb+9v)s~R8(SWPNvHk7v%G(-N^WOcRLGcggO4Z
zumUuoC^Zd@Hsp3wba62+D0_WgnvLl?DoM|c=BX-s$;^N3r}GIqsfp*Q^Gb(hTZ{#G
z7m(_opMH6lkRS)@r)acmveHJFl{E;ke@uKlCNEy53sh0%hY!Kfw6|}SAW|M{&yb$O
zLqn^Zo4vpgC>*sbHLgSO@$r3|bO72Yzo6hY2M5P3dit)Txj@uRX1OC74DtK-Z+{%N
zAgdaNSRX6N(=A%wnn8kdkkH4!7neOtXRFbh{>#aFU|m=&7RJxd4?w!B=$_SyL`7ve
zHxG~7M8Vd6O%eF5Nz#yg<IRH8Vd*n1t?z4VYh)*ZpqF{#>lhf^;s4|~*OcXk>D&C)
zSe+aJPO8w(HRwNptG<5z{JGtJIBp7h=W6Ng^z?M^g&)M(5^niMRe!hO`jm6iPJ=nW
zhlBE4QR(UQ0eih-rw3($z5OyLJ<Av>Tnf7$pKl(ZZB41)1k8RLg1pAH12fCl@Pp9c
z1rAU(ApN%PDbmT6cJoxQ8ms@?@G}-t_58Wbcay*dC(;4z9>v}7O%8j$M~%|nj2oWQ
zzS_$#y~c$S)DZizNc)?<tb!5FoGUwgUgNp$aNMKoVTUO%23p&%>Oh{D#as9-eAM+C
z|M+adx<Aa{{T;qJcTn!dnei(M3M*RnL`d_MW)kWE%$D!l$B+4ptqh2y;qC$o!DJ9<
zb8(gB>LFd{eOVfK2$h}{?I3oCq41R(S`=?vg?t**m;UxK!K5;jn3&QW`CPAv09sqZ
z8b+l}N_&ht8-bY$Kz8ca*dA3f;k^`m3b*N}^3^m>G?CkF!KZw`wF7ZU(p4yCc=%L`
z!b*=-_olf`{Dkz^4|D5vc#&U}S^S_Gcz200c;4c4GrCow6x)0W_x7D%ba4TQddz8Y
z3o4FO8X)4uqTV=NXYYWkx3p3+wZ99x`a0sI@*~6RcZU19s;Gt4G2Kk%@x_Pa<e?3L
zHPG`&D;5g9B^fK{p9)vFAS>16S7=Pno!5Ad(l$zN%HIDcb-nUpdU(6^KYM5YFMRbs
zUUYyTwR%Dxc&tbag9m2Xzt25-0tp&1cX#95VuKBR0h(SwF9*Y=mji)7VNc1KrRbWP
zn$BG6@g8EfuHa16)o-k=uS=e%iPEm7vf>8;4V{x?7MP_$2T9M!&@!8o4P?;nN&IiP
zYqdrvdP|7zy14faYYK1O@AEE4Fycr^Ne4$p2!Ouc*?9#zph|!g5Utjg2D4+fB9{(b
za7YMp^t=gvVqUJlv<ZwTRuPfEfEwG3L*k_L>H*sd+77(Wb}ur!Ud!VO5Ic@hVqr_D
zbn+2@V<-@J9w*13UtX5|&fZ>Yme*_)5c1I5w>e~G&16<GoSWp8l?k8Sr3S}6(}qZ3
z7E%Ezw>2hlX$=Bn@$<7(v%{PK9I<ob0S)Md@)a{aec9501yjga@JEA?>}Fr;>TW@E
zN9`n~#s&t0<U@$$5x$2xNnn}`*i|uQt5R|$5rdhUCDZRzlLu7zaFLdcqo{~Tvvs8h
zvUGadnAh;zwZXx`U71*w5b!IQ5vsFdE(=OMIkIN6GVZH4fdc&sP|8*${oZ<POw13!
z4$GUMcRvSm?9$=@hRpJr*R0QN>%Pp%P27y598q0W6*T}Gao>GzU^P0S&OD`dJ2-ZB
zcNJV*1ZB?lwcqtx1A|3LS=nN;;sx++zk>n2GoVP0S9_`;v)3aW86V#cj52^xaX@jm
zm<!02=vww=N<_xS0%PU)bg%z+f8aUQ<tl+A)98C2jM=Lp--BWq#1>v(Wp1{~frsbk
zbAcJS0H$e#N}kKa3iuNXp|qVX<Tg7S8y*0>cHk#QEi61QHmV_mOgScnj@tbMb9E}V
zwZUgkAmG%yz>=Dt{!;bV*FSjon5*ExlM4zZ`2PL-al7pK;JuFV47^)Q;o(GTh|qCU
zzZ*I_I>11>O2#N21P0ayx`rIU?mM9uB%nd>EJX9O-@Qwcn3xE7q;)&sND{Ebdti#u
zL=#eRJ(hd)h;%mK#1YI^D&T2ddcY}sM!ztah_7D-{Lc=?y$?q9=CRl))Wz9$M^~4^
z)2Ea{-E-6$IWn=p2FxogBymQaiE3nuzeYQwW-KxoL>-y|B*iB4=&?&lF+v1fmpVN4
zHh5|{VJ#+JGhzL*7mPq4(8&f!T_TE+b7NKO>8OKft8K$+(~Z2rNZ?74fTdm|AqfUj
zS>O5Dv$w6k$JP%(P;HU$i$DE==0a&xo1`QpEpP8=`~E4c9}BuJ1ex}lgYO(3s@U3c
zgT&A>HjV*X$}T8K@%r^^fsEc-U@bY-W4WH`=vWMWgaM;W83rT1w7vnpJkFN7WmiRi
zfg4AeS5689p8F?+0>>|3BkRqF5A3T4zF?j+K5)OLrKMGi$@ZIquM-9RjHYb`7Co5c
z^588C3kzSJ9=k+1dLHsgNJ$x!c>t4&_TG<gFNdE1Sp!NEXc^k<>}>sSwiMRA>6|P_
zfc_WO%TPoR5D)XEjzsU{`3Pk3cp8ub9eXRH)|I!2LUL!CUVA5vTgwso0NFtI!2NTB
zwA~2z>B-zhI20xxa4NpLw+CQPC6=BO1p!OY&VT&9+_L>LiT<Ldwm4WDh1@f%17`kC
z7f;zY$$r3@H|gjiL2$bC764puh>FrAaj7HXk*>4Fx<$ZTyre?li~*<s5okF(nu|Z#
zMzP$uapM?0cOD)udrn7nTjK|CJMoOku%l+Sdh5leHibn+6qJ-hPC4&5j$Y$%zTc{=
z!PeqKUTsZF9RE#yj5+YbTiNhKgBbezB#@nHxBkxlXkc)Hi}RaB9pJjR8Aq}1Ab@T8
z>KRMU7|=byEqpF2YOQry6ae4@>fka2FJHc_-K<70d6s2Tew&$*w681x<r(6LuAc7|
zn|q6?04xSrP2SX$86e#ftCy<H!Gq_Oldpgu=_&ShJP)ttl*qVA%l_ohKuha22=C*p
z2h^8>7<7V59}Xg?r9}~=l6U%i#<iOd*qIZRHspZ9muUCLjGUD%Eji+trAZLA?pVrd
z=eaoGZ35*y4_d4|P&)1pn4FNC)%VO!OQ#6#1)`muoKoWX`S_AqkiLGv(yaZnk^wxu
zFz|th&vg*G+(FyR`mkquY5*>5XK$~itsMf)%U=iMW)T_%t<!aGXeJw>G;;yE2mbq3
zocXdhI(RC8Sq;QY*kz%BZ5qy3Zv``i6-Mdm=Jp#SdvOb-+3{#uKv<fv%|cn=8PC42
zboljK!7qpN=bK;SA1|_8aMy?d<s$_Y-$bLI*d-W)pn<M951Lf?!%qqt8e|9r0^FLK
zh^XjgV+%6eJazomH$@P1M?2pf2+*&S4wwFPXVPsKkoT8+2s)X)2z{|ZB@xndvxQ1i
z3J=)2px<5w9HfnRYSsRaY-zts3jrc$ZqC}$(z25=cS;2Ab~6r*3Y0zEo|~Kh1BlNd
z;$?^20KY6-1*jBZd3kx%8uqljx|#-j1~P!1Lftt7AE|*Uv)ii*gd`C;^K}>^AvHAu
z1XJqIQWDdY{mYl~Iy%(;{{B;qojFjDofcJwf_5XHnM;5}NEOtO>2(nMmctXt1iS`N
zXrSG|>CL^4K}kL_F)_i-`fZ1K!uP9gCFm`QDu!Rjx}#92z=%b91_mu1ov_Q{WmH`}
zjH#OGG*d@Fed>p_<E99F15(SLez`2K=H_P8QCALz1h=Kx%R~VaRM2b77>KZ1Bx7#Q
zja433&C6{84DRK1D>#FD<qhxj#J?FgxpONWz=8n(`1Bu$k)Dp*G(MxWLX1sK8IFvN
s9kydb@stqIB0#JJ^8b32YG1Ih3w8R%no^~K4`d-QWeufL1@qv40d>sU)Bpeg

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_t_a_n-members.html b/docs/manual/classbayesnet_1_1_t_a_n-members.html
new file mode 100644
index 0000000..62e924e
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n-members.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_t_a_n.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::TAN Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;TAN&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>TAN</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~TAN</b>()=default (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n.html b/docs/manual/classbayesnet_1_1_t_a_n.html
new file mode 100644
index 0000000..3fc7816
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n.html
@@ -0,0 +1,329 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::TAN Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_t_a_n.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="classbayesnet_1_1_t_a_n-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::TAN Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::TAN:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_t_a_n__inherit__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_t_a_n_inherit__map" id="abayesnet_1_1_t_a_n_inherit__map">
+<area shape="rect" title=" " alt="" coords="35,153,143,178"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="28,226,150,252"/>
+<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::TAN:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_t_a_n__coll__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_t_a_n_coll__map" id="abayesnet_1_1_t_a_n_coll__map">
+<area shape="rect" title=" " alt="" coords="122,168,230,193"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a8f1dce13241cb61005d1d7fcfaef2cbf" id="r_a8f1dce13241cb61005d1d7fcfaef2cbf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8f1dce13241cb61005d1d7fcfaef2cbf">graph</a> (const std::string &amp;name=&quot;TAN&quot;) const override</td></tr>
+<tr class="separator:a8f1dce13241cb61005d1d7fcfaef2cbf"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a0296c5af907bfbc5a0c8309aca7a2a48" id="r_a0296c5af907bfbc5a0c8309aca7a2a48"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0296c5af907bfbc5a0c8309aca7a2a48">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a0296c5af907bfbc5a0c8309aca7a2a48"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_t_a_n_8h_source.html#l00011">11</a> of file <a class="el" href="_t_a_n_8h_source.html">TAN.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a11cbc3696a24998891ed0963bb905474" name="a11cbc3696a24998891ed0963bb905474"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a11cbc3696a24998891ed0963bb905474">&#9670;&#160;</a></span>TAN()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::TAN::TAN </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_8cc_source.html#l00010">10</a> of file <a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a0296c5af907bfbc5a0c8309aca7a2a48" name="a0296c5af907bfbc5a0c8309aca7a2a48"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a0296c5af907bfbc5a0c8309aca7a2a48">&#9670;&#160;</a></span>buildModel()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void bayesnet::TAN::buildModel </td>
+          <td>(</td>
+          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_8cc_source.html#l00012">12</a> of file <a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a>.</p>
+
+</div>
+</div>
+<a id="a8f1dce13241cb61005d1d7fcfaef2cbf" name="a8f1dce13241cb61005d1d7fcfaef2cbf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8f1dce13241cb61005d1d7fcfaef2cbf">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::TAN::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;TAN&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_8cc_source.html#l00041">41</a> of file <a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_8h_source.html">TAN.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_t_a_n.html">TAN</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map
new file mode 100644
index 0000000..0684efa
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::TAN" name="bayesnet::TAN">
+<area shape="rect" id="Node000001" title=" " alt="" coords="122,168,230,193"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5
new file mode 100644
index 0000000..4c81c1b
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5
@@ -0,0 +1 @@
+c02f97b240585f440b3a51e1b4f83e2c
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.png b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..da93f4c674d6b1533f9b5db053b62e4f85826c25
GIT binary patch
literal 11120
zcmc(FWl)t-+wMaM21rUHQqsNY6qJ%p3P^W%NjCzbfP!>`lyrBONOw0#clTMm=lkZ&
zd~<%Be+Or_u;+=j)?L?qUH2DxSqb!~L{A|ILYI<!s|Y~|aPWKAV-)b2l#kF4{zK7!
zFYy+-fB2W$kR1s@uOO+nZ$7vr?#{VtemK1oKA13>L`HmrI~$W<EGezIQHu~qJXbDL
z6F;W<sI)XMx+$OW?_X<oojRrkSWJRhoJ&Q%Bdw8Sw+wR3uM=b1$IOg=KBc|AuD5rr
z|NNSpX;~Tf*H@NSmUtcd*XxB%`s;a)d4rH%1z?IkCjYMwrl4Anz!u#NS^FHp5Ug~e
zpNe&Dt*z|D8M_x37r~vTs^v0#NqdH-rW<lm>%7{HnB8g8xh(O8jO3PLM>Y@_Onk<E
z=j&fdYh>2Uqk8i+HF6lNykr}z)%eMiC!vj@3D&hw8XFr!8%c-iGqbWNXlSyhJ(5Vx
zu|$LM-is<dCbxW*Mi+p|^?eXm^f9rd=~MCmbSl_q%vKat(s=KiLsUFw%}LCPa)S6Q
zy}O%B<-3NPqaL_DKN_^UwzgEWp4@hExPpa^?Z@lz@0Fn7+|kwL@j9FLoyX6gKVg5*
z92^|}^G8$^0wkNr;~N`G(B9dpKaec=vDVQn!?LQz>}!`0#Q3ooBJ(^^sJKk=zT<7Y
zNOzt6=k~8RPTbw5kPkMH$m`E(F%Emn^yvjACgk5DUu47yZ>!sH{90cxpy|-ZY3t<F
zktP;|iHE1M(lYv8QAvqSw;9@*t--;0Ez|r<D)L~vsEOj$D=6qWDI$c6kH0eKyigIK
zF2=yXAZBmR4uc~>Z{NKmr=xqqJ!^|(@8Dp!`sauEl(oYMUbrW8u`Yc71#EC}J;l3_
z{T{ry?QD03*eIcr&v}nT=wi`d+^p_RQ!+jt-tx`mF=u0RObluSSCyK)yzZr~N|qT>
ze<H8awwrMo;iE^7POXn;YaD1<SgLX>|NN0;R4YX;YP_P?H!xr`8>Y%vulPM}Uvb({
zC^Y(EJtJHw1OW-<6*)OVxWLile|-t4{w+SfNT|zSXp)Q7_oGG?Ml9xPo!Sbu>K3=Q
zo<e_md)s^CIP7|usuqj9Z!JQFdCc9(5K_y_aWgYBRV-}wrl(81N8sFgXFF4@aWYQK
zGx9U}BG{Xon-yM>^h``v<v1v*zM><B?Bw+HPrban4$jUx!3oN1YNA2GU%!eqdEGAV
z?_&rH3-_S9|NTi992QnMEFQzGb+GS!PYivJi116WX(ZID`}8?H97A7UpAmKbJxfD?
zkmptN!U7psteCz&h0lAP7y&`S!@KMK45e(@gTup?U@S`cj~`7d`ZR1BUYHCdceH=O
zIRtxn1|9rMu+bmQQHZ``PAU8{WZGUap=}XYSg=2SrCZQHI{M+k(qHje0%cWC3pDCJ
zG2t<OlsC{)RhO_TA{F)`(bm?cWo8zalzbdU${)C~VOoFO&wp_;BFE--vcY$4zcor%
zZZYvZPqj$A%6cx|(ljHjV$9%vEk;ND)2GU@wAd?ahuLa7m!;465QNX79S{_RipQjG
zXqGJz{_^6miwpr;@VaKYxw*k4AwgqdVd+ia#xO3cnLY$j@F6oAcs(*Q@+$_0JRzGr
ztL2pyN;DLtZ3Z^B9}vNd7ag;+ny+8KE_L3Y|MukzxfIHyM|QVYr=ze?H8r)9g9BaQ
zpxl;|&Cf~sitFnWsR;4$CFJDfqJRD@&dCYZs&!mC9uOXQhR@6@D467Vb+S}y)Z?-<
z$>!$nUY45bv$nS8v0E|0<G3Lov07r#_1Fgs3yYDN*;r8#`}XGMVlz8M-71ob-+51_
zLEC0CM!RSo7(jWYe8`jvl1&jx`ijT2tRyGc@dbxwcwitLgivX|lEy;8X^VOiF}L+E
z+3d2NvS~wOV{GX7__(M#>}qE{J)I)rS5uR4)6LQQh}Do63@$TPRbx{zAw)sw#NrLw
z0}&AsZlpFS{=T7?^6368&1EJ7<9X4QE<2IGGBPO9QIHG_3^w=n`f+Gvzf+m?#<t|-
z<nS$A_f%bW65H6e2V+rn@6J?>^!0_dw6sul>v&y$23Cd<h4%LL{>sZ^Xu7+yh%i)9
z!Mi@$Y;#`ltOB-(h!ExG=8jk$krVDCwyyS#i;FvT(_tVH@`y$8C$Ah5<zQm!W8crs
zPF`MY@i*g2a9#a_Wgg!N);6rmT5Ql2rdef8`d(UkV{_AN%5G?AD3RCUwUqttbj8Wx
zp`MqQ(ATeD)igDG-+jfi+nFr6xjkRl+}Y{nUhs&_mQ6~}GGk<7qP|=}%3g+3b-VA?
z1PusX=Z|r*c;jp<V#S}&Ig_Qh{v#B+JsI&hXhGfF-tMV!SdaKM)~K=VU%@v~pdkU)
zPZTPicdGonkD(w#=(?tGuzVbxs`K8gT9K!A8gHPn2H#otec)>;*;rOz@7rx1DHU|M
zMy2b;fnIHOb@8uX0c>n+n#H;ZTAG?4KYsj^`96l7g2IpLa$Liv1h}BGxmvj?mYA4W
z9;sYzZmy$)!%C!_kQ4?6Mlzq%@A=z2c@0ypKNH6w;iSu@2t{u;H;b&Uu8L%jEaeq7
zitf)hV3Ck~15a&jX+eMn3$^%Vk_8BXp9FLpwu1a+cYk}11Pu=lgM{+!?)ExEr^#z$
zqKIrfUkxb}x3F%H&*P|@X0lihsn%&b5Io#+uC_v2Fp8`a<hPKcBl|on?OYJTH!EcK
z&ESn8azdBLU%q?+Nf_gMRFqN0f0BZ%x3{-uy$hD`?TJ!_`rUELy>52|^;l<rVfll5
z){dH_obN9zWN{@VRJ!e`KHPlJh9Ueh5RZPcw9m%}y12Yt0@+?%R1|Tq@!ERUZM#5H
zMy4I)56qV@pDzw;5dptb9^aj-;|4Ke6<6pXpatGHQ)%U|`1=hD-`LepN)1C3lQvUW
zYj^h($ab+A;bdnDhmMXe_{*0!AodWEkPslx>$8e{XK*Bx6cmW(^X@E~T3SqUDo3ZM
z??9Y=|M5d_s(Wf`s@ir55xgdJsV&H0Yc%&ycXta2@&mAB1CW=ZKQV-#D+dHua1l#)
zAS6Ub2R=m8w6le0u}XGP5sQF;K(W)d$~OYG^uLuLQHOxjH%HB^IB!-b1@*{jZ~bZ~
zymNm2Y<xWYc5kk3B}!Gh1(YZ|5VN4FK36U8J2<dy@90=MSZX6+H+;NTz49FRH&WfF
z-Bu9W5JbxVsU0}P?|jvgCX3~roo^ufFM%-YsCPYPHSQ&F+?hQ5eLbs-??;akfbmiw
z7@okT2R0%pCl^#z#eH*oivT5X+lZ^H$FKFFJ$dp5Jh@o61yLqNXznO5oR9<M^78T{
z2tG*)N=l@qrKOKeUV;&kk!*Uc$cg;U&y)C^L|t553RI04%En(qJiNSWD18XJ0A^g=
z91mC|q4*>wk{B8pkuxwn)2OoU_(`WUSmR)VM$FY~{=XC1-rk<eN+|ciQV^N`NEV!x
zC=?XvuC1}W68kmj-W1^`^`@foFowB-%AMo!)Pk4SQGIb7sB?ABT`@Xdt{pRI7#Lj=
zWS#+U{83t_rU)~{Lmy7Y_V#o_LsopR{#X{kCYFn<?IHxtTEzR^ss(+pea`W<jg7|-
z^#VMr!R@pa9M{&Ys_LqAC(QkHs{@?+)#ar^_K4lp$tEKUOZJedAt++}PFwBs4ek!p
z<z^lmX+e{j@9}$5cUnI`d*TD?QNi#Yh@1_OJ6{UA4R&{b;V|yiRZ}B`zs7mUy(T6m
z&xv5c!130O)_SDwoHeuc6N9L-;R&5IDIUY-2~?LCE8!z!V^J0ph19NQ`Kut|mX|BJ
z*6PcY9W{Xfu)n!Dd`N9fJ)`62CnqQB*Yc`K@mYtNG1}=M^Cl%FZ7wg1>gecL&sGnW
zdabejcdBB8TX@#o=qr12R<ZR}e%gst?t(Fp2)KL?3k!>8gKJcQ+$n>PkADY3`;}C5
zbo4M-1xx*bXw+`~<-Y_+M@PejMo)lLx~IxaG?=lKg_7wzVGLB%)I%*TzMukICGA^$
z7O%tnpk{1r9Ev)7xYCv9!BbjVnqx*Jb<}V^ZvZl0=&rKnBLUYV!>CKJ=&A*;6_ACP
zc1KmMtRl(-WW;_K>^nV_HYznm#a4e*jH7VjyPOH3>Il9<W8s-$d<|IkV7^S)ZPtu2
z$oS`bb3L=Ovw^fFDsb%h%0B}G>mY($f!!T?qM1S)1&8=x6NBZSNv@g1GPDJoun7qX
zWBHw#U%KzG%{onJozaU0zozN(>KT8fI#BdhS68>9?(DPav(-tPsnsD{(Z_m7PvGPM
z#l8Vqn4*)Z<7|DSqoY~*V!_6g92{kxP0mcy(SNxYR8^Q@PJDAx5yWe$B`J&r8FH#o
z?y_`~cbJ`AAT=jhw*TWEKhrbIm6qdi;kztuZxQ2|t^=9EumV+3^VVkPD+>4fflJ7k
z;qwHE$HCOm8|mkt^vaBo&L1)SewTXWYU({`>pn4}E@{dohT#e4F2j*U+<-nSg<N!9
zispxe%7-3Hc)!g%vXejBm8TChq=jgcKAD^}wp0qHOOHy6mc@mP9@9ZZzK|oUKM%%Y
zs3Q7(6|-hV;ePn?Z>$ew7?a*HiXO?$B0jI>*P#xbbR|D)WqJ0|5fLg_LaqdQeO5kN
z95k)ktK{?KsW|$@M~<a2@3~y_doi|j_(!xYKGe+FTqJGsNu4)w2t1GvVh){be3HOM
z4_`bMXl^V!jXMq>ksgw;H0fsRBBv?n5&BlCge!-->b-@D5hE%l4e-anGi5dMbKESD
zqkh{zOG8-<SE74!izha9CL^pD6=2M9Hh6AX6!$}FF<u>yjsDRi-G(f^?%#)7rb^>9
z@$>P`{(G6SowU%v_urAVCxnG}yjjCPmpzB*kP^DcC~V%X{yQ_ayfk%s*({tUKQrb)
zgB?b7mxb#UI_hxy&1R~G&H@+ipQ<ioyTD--mc<C!`2UsDy1E%Bi2Wci)VNPZoKQc=
zB?3;8!{X!9R?RMbS$X+af8A-w>!hCIz@^_PD3DUSgbq873s*fIRA?Z;B378Nqb&3R
zE3e|yT!StK|4zM5)kP^TDSpg>&k}u@H%`xIwD|hbi#PA!Y2!K`uUhi+&(?)4hL@)?
zpY-81TXrVs7LZ|=A#$DDc6ydzN%u3V*KGXsO%OTd#?D{+o{Ffgorq~{zBN7l6kNZk
z<NTWgSqSBKvenV>RNz!gzyy8}-R1Xktli${ZX&mzHi>k{R;j-4Dv$5sTz?qnk~FQv
z{NQpsz_1pR^`s235%Hj*8(~3Wi?=;&?aS*@%SE9oMTrqS+ABYEgvWR1d3=44_7_QX
z+A5151&IO1&r00#`En6bXdmG~96o)5nyel0wgzNugmx+0N^1*5j9P}@Hqfk0hXTef
zhFcJykjQW0CdV8PlY!P3XN6@Ik%N|RNcvoqDRFTdccz|?;04i*xG(+A&%r$Rn|!ob
z7iWi7>710lRPaP#Lwig24n@RAHaqmesqmp#@X0|dB)J8nZ{*@2&mZm2taQVUXZmww
zdm4mjd}iA@`qv<~1nYNw@#9E@n^el>^vWYH{%AU)SZdZ6Hp83c3JTXKWQ8|ZVsuCo
zZ?fS|oP3^!MMN{$m!YXDhJR7`+}-q%eB?9rW<zW%y5>2*<ej%HHY6p<grz8D3$pXO
z4q}0D9G5b!WcNl{$A`o%i1su|3%!b+;iBcQvEvKm*A_pt>!^NHeR5VP6+A8~S{CJI
zN|sbE;PFQP8*(-#x&$+Fg<=mX-OA;0tf=m@7mab5Cb10`*y)@gTsrhAf7aw+Vn7$t
z2n%mJ4nMh1P??|W-HXlViJ|ZAXayC^f(L#LmH*c&Dv%T0N7Wd;Xql{XW8{n~L9_B{
z<nnBPst!*tDZrQ*lQ^w+{p*3S{N&r^?LSr|M*H#Y-ky{9-?@7<mmx<-TUe9%zFUA3
zcD&VF%K&!#<SsN?OTX4=HMe;^aA{_<qdmKqMDxVZn`a48FrL17&L`WeTdu?$Mo6Rr
zf+gy7GAOKe9Uo5{8Z6B7RL~_i4Hajfr#7(j2EHS!U8@E=asrn2&$3JvbC=7fIN(ld
zT@CO0ZL_1Lq;YJby9X^!{q&9d{+$(0r;LY<U7A~I)Ode)eFlmW3qZ^Q9F7}<5m`BT
z)IW;Wt>nQ9Q&`#=F}FGO4Gc;4OP%3Xp=x$05Vr*Caqw%QHWFENZ!TZi>^gBe&Z7MM
z-pt$(b15p=OwQzEqrF28V}uJ5>_j*-J@p1t()+3JYEokPcb7)~EsNFe=hhP;n*|zG
zwE$_==roc@Re+8|J1VBY5>!2FmCB`eilwQ^tJ|&`62EhJJS27TzR=}$<}sZy=N8PA
z7)a=#q6U3{*dRPaTbfI`%%6nKD^OyT;ype#_K`Cb93I}Jls!_=nc3vDhrXDxv$I1(
zK|#@bczB2dDu)E*0Z}3SL9nHQ!5o+Rllc8%a1EqIb;w9M_go^3<kAEDsDd}hM9k~y
z={<rsp~iDxZVr#rb-XY*r1goCCg+kK_;SW91woq735{!p;+9_Ks1kI=&&zv?!kWBl
zfa0IF0^mdKrep2Lh%!+zF@AnNzB2^dn4+TnM1Z8~wj65*q#7+?MErD_cNooDkS;4h
z;Sg+>7`ku#7jMA_e&$8(ufXCmcE?xnL`9V#X}h(Ly}qqa5s4{QT&f!0WBVv>eJ(C8
z)=ZK;=Y+oB*n&o4DlIK-0f`knotT7_G#inJ7!U6Z9YP}$y214sK$ulhS9jz0@dI~F
zh=;%Q6r!RsME4PcQb#slBig>cY;tvV-2&js)w__p`?;2t0u`)-8oZZ4Kzz{vQ%BNv
zIwdl4gb<S78b-?IgkLud_fTy@sodQuEE=cCKFrd&Ly%YfPDRSS=A}9`L7VAiXJ^N|
zyu56W-0V+fah;dFEEjghECQpHwtI1T{)Y#%Jy31tqDpyX%-B6<O!0Ps3AL7&CzhLD
z_mkt_X0ggb9Y8DX+DxiyhW}BP4z1p)&_FQUaIB?>;MP8y1~g~p2d-`ha&mIPC`Du+
zGVhzA2}5?}x<6FEBRJp+W0^%;4lfRWC<cd4cbWm;p}yid&~-*dbwGqz;B46?l^JH!
zRnQd;71it`sLpvG1c+?rs9Waf1Z2%lfEFo5@85#?^wq|Iaud>G5{R3mU(zx%J7(;0
zl@W>4A1f;Hu;bJDGOP7T{wXXW(R&c(u6sVbMvc?O27@mi4U+j#@A>H{btJT+0Gzoe
zRSIG;9Xa{ZM_1QNy9hV<$oMxBUVE1AcYx>gx>yQg%p8@DNI?>jl>B3t`Qex1RtA~Z
z1^JvIJ1OPmd(c+TTj#55JgZrg91Z*M!|p-{3RhV2RtZ(!-qBKYs4_p8fBCx1A3>yM
zsKw(t@fW#CynY>uf6IG1r-p7r>AICL{v-OPN{97+St|Y%LHDzX;NZs&YZJgevjEB3
zAltrXWMnL(Gq>6Vw5U_e-ik+1^TG=@gASL9@p)=a)gF|+?cAJY1YD)Vu&Hi;`(3R_
zQ<tMt&5zl*s^65t#g@?NZy3yp_p6+x`iAu7QGeT{eWdcG3xJ@vo0rnRlCvZQ$%>ts
z`i8pRbXPS9ubPm#Pml+gic_3wV&`U?MJHoS*WrOLuqak8?7`)Kc<#a*EFS1vz360?
zcUxx36`>qET3<0m%OC%6Yb40c=6XL6wEMrmP?)LaQIun%4-22Hi_R*xmyfsyuQ}cY
z`I`)!m}b<Al`(w)ST0`K6O&aq3x=9aHGAIn#`i<7mQyBfndLZbGJv})Yw*f8JYOWF
zttZP|CjoVbK;^mgk?IG2h=j$CJuJa}=ZYN^h#fI6N=aC(q#!<`3wrZx)XM1fSz&fs
zKFQBjn{mfONcJZmVb{RzWu@rD#S)@QupHp%zZ6}Po*n~(fr^owS7Eu>=oLc$@`KrP
zYy2*WJD&PKAmLv}4C10QvxnVdv=fKKHtE-2WjAcsD0(OB?IGKaejI1^kTn-60jd6s
z#vneurGO-FUa>jy!$;tI0`3zI9h!e-u`cqHy6x(bvoO<#`ldT+?&`yptcSokUIl+!
zS^43{Zcm(2;>;xac!;8R*x@e4B=PHiood;M$Hl+`iQD*m#bfffUomS!%P3DrDXI>6
z-6s^MB#;!XFN^QVZGhR-QEJ?n<9q)en#U=+5Ikjhw@GNQ?*=VqAkg_chM-8S9~r+`
zO}_-2ftz=HtVnFOMEpv5>M@^O!AM-qB8l2gw`f8WPC>|pc}l@u^{g&<l;deLJAHk*
zdA?goZq+>i*CL9Z*|_I?Zg}$?0Ctq;T3|9o24oc{sLc@M;zlF6IIQuUIx1P6ucWT}
zA~&KIcXgN9Mj&Sue+C!j{o(0HJY<Wf<%wCS^`>>4=8~t5#&ea4$bRueqdOK{5M?k%
zPx}_hg<WxAg4oml`M(xux#6$Y-j8NnRndN!MlcX1XnrbsmpGG#t`+B+?86F<D^^I(
zZx{1NdP8fN;?sU2O~%d?XM@0|J1b1%bSQU5NcRGFfSeb%18B2-MWS~E(wHGQ@&`3t
z^A+VEjEszE8GlN6a&Z9&**-FYgMff=#w-R?0<_1)>4eU%mUtd8>i=kjME)<*MWyI}
z=@q8?>^l@JEEofV=OmrsWZ~bxV?H$4pmB_z7)TKg2MR^TuV23uDpL{?zCQeszcb82
zoWx^?2&l2((9n)#LHA<E&0+DWLQ_5fr3T|TOp1;Bh}>iB#t;z^K~>sn@Gv*0M?oX-
zN#b|bZw+`73p2y^x;<3|H1FbIni%A>ysTe;y;m14Z(#~{C@Cu&m}Lg}<mAwTZgnY;
z*jmKenmLSwcbInOg{WqyE^GTsz(St>h>ev5#CpUkSQQWt<X7x#YHCJd1=?0B(J3i%
zWmB3~jZ>EYHb=58v<3{>*@T6g=B+;M&BnPkG|oGPlJG_Vy(4G5|IZIfUh`4f2tdld
zM);7IQR%5yAm?-%Lv?$5TjO=>me(^{DJ)eA$UtgpYL$s1+p`@tBD6r2>+Lkr$@cNV
z2RhTxkZPvFLLw7)zh?a<-isGMs7~Dk!Tp;nD{Zn#e20Mcrje3O7Kl?&P>BBYO`H-i
z$i1P&+!0ifk&%R$m?EmGs&1~Xhd?7LL+<;^()b4)>+r}(B;bbD09hm%(G^CT0hsg!
z_kBUYRReHhcX6;J;C)v=#${8phDV>dvAo<mmZus?wcxUXKJRtC8+}DDM+OcGij9a+
zwDLAIG_>6wFQCc`GPb&IRZq!p0Hi@DkY>sNF-|EF_RHTNNl-xG;%vsop)a1Z9wd84
zD?nQ0=Q9FiXFK*=d1o*Usmf|brRZEsR4G{65*-eG3klH&#=*hCnW}TP>1=QRPUY|C
zR}D_B2X(Zq&A+?5dls;h{Ei#VfQ^hW)YK#q6cl_Q3jpc;X><7VfbhKli)MB6$%*6H
z=135r0agI*zOlR8=jVqAl%ZpwUaSBok<xw&-WD9JYiGw684<CuzTPD#d^>8MV0g*_
z2NZeLyjx!9COA>W>=8BdqQ12>wVB48JYdJFWz?VllU)A+Xkyh-9?MDAty4GN5!_{I
zO)1l?%uKa^f~TWOfMsFrGv){<;T46CFp`x%&^SPeVWgu=%g)ZG&PmV60Q#0p#Oic~
z#e;!wZanbt@yn{KV;|W6$r6Lh>;0yYsi`=d#>>}oNqq0%BOle()v4bCQBN;-E!ll<
zscb;Vq5?i#S+ovJl97-=94ekMwniV6Rq^0_r<*ofX=VlcFF5yRYs$1ei(aKo!B$1(
z8OACsR8KZXy4Xnx2!a7ix8ca=aXO~D0f<#UfBzE4O+_9a9tZ;K3hIueF<9vg1*+9#
zy(`CF)4dlYqOML9^7ZRblehQD_5=oyP1@o)EmD8B0%|4bff**|vJ?TD4kmawfYvIx
zT@w=%N8Z3Sf5yaUSdFOM-Q88Y98!2)ZDyMn-2$DjC4&0Bh)N%h#e+j_jV#oTX7Ar#
zpI13?2fuzL$7`NhT2`h9BU)NrMTU567a_N^oi9Is;<mT9zXIx^udgrU)987vK3)fU
z2q3ihy6-pO7Zw&iMn`{SOLxNOxZ(5d8(I%4KR-V)KC@;s2xT^p3tO2az8Ac_ydNtq
z3150$=zSyR?jJ6cJzq!}c(G(u0M|GLn|t~4<z%fBgZMWBg|!Mmu&0-om#Y(K%;1k-
zeE_+_#Cv=AyC**UJ;>8^k==$hGzUP%m@GHL$&yV90nX^+?%oCjIH=h5*!UN43_nIH
zDrBHtwD~=H#_D<H_<l0<|B+~|UW+ES$gg+;$;!$qCu7u@47~KXyIkj#t*fg8B<g%~
z5SiBl#oJ;EORujd0lHe}-zWwk1mBp?R8_L%pKeNDTfATRjH%iU2rcafH#Px*L?AVe
zZaO9kdGhu2^q9ej2(htSL7sWgBoeu-h{)VF$RDB$h&EK+pP%7lL*Xw4)idXuw#SF&
z=8^>6PEsQyaUPVS(o*(#nb*&WxxV%H_mjX(F|W^dd)9hlR0&t|2#zVc%|@~gyJ=F&
zr(a76-Ce9W26@NUK+rS7hgkq8r#0YdQV|bc4>n?Iwti#=AGsKQ&oTtKNbo#IJG-=^
zqN24eVKpb2k?BUjU>8;V$GZ*U$FH<!tQ4Gnu))dcOQ>NCJ-xlFfT_&u6ZX1siNY{a
zQHfqVO9L!_IOw1_D^=|t-K=&;D*v;H?*!y!==J%2)#d!a^fZ;(6K)Nl96s3ZW+hyB
zOZokO(pzCxQ<U0vT>${1IjhoQBY1!mpKWmGE^4}Svz{u=RH&jRN)9j{`OXH{`|;z4
zFA$HGOS)dRX*tgs?b`>KMz3zw6hB5od#k7z(a?jLt`^Dhf2hU(s;CC>OrTgj$HvCq
z(Go9v16AI)W@4&Jh?aepmu|=~Q_pYMHkJJpkJN?kd_yfO@z;tAROY_rj?s5paafn6
zL7?j&s{9k1W%@(*?ok`UiBDkeS>d~KCeRbSQ*196zUTKW@n!F&ivJdnWoq|wT7m}q
z907W~pRf3>)Ilm8{l_3K)AM6iJRcfJ1eJ0u1%du84wy|~dj91)Rkt37Km*tN`xD)<
z!a*%P^x^xzVmc#mq&<Yi4{UN+%)2uyvi#B1fWCqcrJIJuK5ouD5_n`vwO6Gil^*)=
z?5Doh2&OT84#=27Z6Yk!AE>9X!L|AVN9YY{ZKjWSMh{A5RYU3$>S>4mNt%Y>wQU5@
z4Vt6Lh#>GS`o3nCDt`lZ(($SwfMQAH^I*>IiA8I~TVkp-I`sgxg%SpzG<lV9H8=-l
zdagOP6+mXDSh$DWIef{;*^8+@s0le#L*i1VA<@1B80iE#C*gxR@``3xeiT>YRz}Ws
z<MaWTeG0#l6Em|tNb%v){r?%n!2W*$KmTWL<NxF3@(*on;l{=WlsT&BJ~2dF?~c&H
z>vNdiz+i^P!mQKiQPS`gbBuSo4jO_1=^a6$OXcE|`{h)fA4*JIoEbY&D1d&W=`XxO
z-ok-u1r$H?efGD4ASp~UrcHSOj0#Bb{~Pvu*go*?95CO43UEj};QB5072|sW7O(>a
zhe&5+(=k@SwbbZpG*<}-d2elPS=~;zjN-_MiJt+)1zOJ1zgJRHQu5MzgQ;&qmFi9H
z?X&29(=sx)1K6^o)v2se@4^-aQcjVPl;{Y|G(IpxBAkMkcZ$8hOg+lTd1uo1;=%<`
zH4T4nz%L$WQzkqQVSfpfXa)dXs`9qKnX0VHD2@IGvlvts^-afsRIqh$@K>z7Rh;Vh
ziodkArEVn{K}%2Xmz`}Ax@{I8I6SOaT~jlb*9X-7W<&O|ysV)N35~lZy*89Y0at7=
zI8jiU2<9O`#bI?jF{PrSO3lwlV`gTKo~U!&^sBI#Se`OT`7BGbPFWBYkd@PE$z=e5
z&}5x6i_B{r>xNU6-b7v;aJ?iP-hr><;R|3ZD8R_5s0LuN<DnV>ZR4OB2?MIewU-k-
z#m#~z1g56G0>Df6bZZRgkiH=40xIW0h@;Is=;K~k>>~4S2fG;p%I{kViIv*zLNSm~
zq8Zivz}yV6My2H&DXAw{XS-jU?r--^CknL+teC+F%)58*E`XlN1_}`xDIe~F=Q$}D
z<2eLc6p~2A=9Q$BR14>Xrau@$pkQOe0y64FkItRGtLJk2my4aUfnv|=Pu~bRvh)^k
zhb;euiz)Ph8Ub(snEMF>y4Hj20)|(RAdkznm{?XlM1Ur(1kPt29(+Mu90diPC;(LX
zHcKuf2*7ebfb3587svo~cLCxo7A|gp^Smo6Xb&Ea4jTvOM`WZw5Iq+!*HgOq_v`&<
zY???DxU5P?71h;40ByGfFkTzSfPnwbjwQfegXRg~-h+dK=7)hEps6B459&6UlbIUc
zTN^no0p#E8rx`0-N5}Sps(E!Qg0{XsbYR{NFgxI1UtiBKeV%?9If%<iB<v+HJ2y8}
zWut>e1bYk=`d42-SAj;tgW1v1@u$B(5R6ZNX(NB2oX7SV111HzIkT)3*bIoGOU=GW
z06h_Kn&V2g&dremb*mGIUvIF%jL2k#1wKGhY(T9QIBdsJHje`>ji#pNV4f<=$?gok
zNq=I=v@sm?KfgWDn>=cn*ZY&&fHwlQ9}OY^@DjvEh@YPyeGib7(}1WCBwEjg89b)1
z9)kE|F0QU=;8>zJfjDLW=uCO(hqXvbO8O{11=L^Fw>f}*^cI_aAM6YYZ!j<hB_AIV
z^c}QlprF^E48K>d906GI;_6Dj^Bdu0qbEO?)pP)}R;@1RzX(`$eT-`Ut|S6P0(Ph}
zV~O^{BnlKpKA-mn#Z(U<!d#~Vh@64IH7Tj7GZoCS&ZyJqe$z2B225E7f<^&a1jTp*
z^aJed?8Qbscml`092@fu{D2=eNvX)k2U86IL}>K0f*uG#)9qt$T^+x+=c#f}M?3)j
zKck|S!01=?UhOuk%YiQLix+ypwSi=<6;;$9#d7dHzpSsb7?@cmmK8xP5Ur&58jL=b
zfH5cYw9Vb!(1+O2@i=@0gkB_P=X3E~smY*+g9CX6_!$JTb8wV+-+Q6G6d(Y6BuE=#
z;QSFFfEgsLtqZCDSXVEh01K0Iap8f%glN{f&8!65!{v87b9MMsAO-T)1Kc4gEiLNi
z#s>!0kTk1p5dfg92D&QKu9`ss9I~~w6)`i*HM%S>hxJ%+!ZnTo<fjB}G^O}A5zwkJ
z-3Ou*2ZGiKG?gkEG%y%07`OolSfrtnT>UxdIK}`uu(&alaRD}_@Zm!MxmchsXz1jn
z$%TYog3bn(n3QA(CXw{P^v=b3(>*$v(Exs-_vbq~2+cOiZ~=X@BH$!0VD_ct)2_PZ
zd_Cdk&z~PZf8Gh6nl`eTI<Z}1yCmwkJ&q2Bu-d^0A36;UO&+JZ1rCJroFo{uifv$Q
zjfaN-%ucj|A-M-jKsj7iec<f@V5kF(2z-cJC^L}*PBiYKlc)F;L*M|?c3q3&o55%L
zDp1o9mFHrA4d<RSJU)g!d-`;7aZ#R$@#yI2p%T@YfG~o<)KQS)Qxty$aP&o=*ifOr
zfB)M4>m_t?b8DTMnPE?%>Q5GYmN66zJblJ--^9uav3Rz1ba*dL1`cOpU}ExwC(q6c
zbjM}oM8(9Yh8}x*c>HE^2BreTL@0obk7YNK4&7GPL}*G>{CgC&pi)usB(;-x>2tL@
z)3!vhX(iylgFrt($;gNX+Kn@2iC}R`llb&Ej{EbZ0JoMp6N<w4fIa@lJSThBlsIt9
zv|qp4=Z%8hSQGl5pB26t1v*YBkL%H|hWD7KG%4@@doK0ACsgC7?@>GWc<m`JGSI;Y
PEhP0$_HCi4uHXLx!$#QW

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map
new file mode 100644
index 0000000..93ace0b
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map
@@ -0,0 +1,9 @@
+<map id="bayesnet::TAN" name="bayesnet::TAN">
+<area shape="rect" id="Node000001" title=" " alt="" coords="35,153,143,178"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="28,226,150,252"/>
+<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5
new file mode 100644
index 0000000..05ec32e
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5
@@ -0,0 +1 @@
+056d4ba29c060a1c0448fe1ba10ac890
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.png b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..bced2e0c1d9b95fa2d120fd5a83798bf65581f5f
GIT binary patch
literal 9898
zcmchdbyQVhoAx(?h$0}3NQnnfLQp|kL1_?F5RgtmT9A+q1p%ppgh(TyNJ_VWbc&R8
zcXu54?(@z&^RAg$-<rQ>maN6$c+TF>e)b)|`?|LOV?}AA3$zyy1R;`@k$4Kf^AQ9G
zhX5a54X2!*gJ1Xt^3oE>DfVAtWqLS*Fd?!M;wnzDD<dxI&+M!2ukZcM_2Tl<!mH=-
zJ^SvqF&WD!2N&%PYt%V&-tN4wQ{5tqmjfDF1S3bTr^oYLA!qTYsfcyQ>-A(YRIG1r
zu2&&@`|&fAh1JpS2}b`rsTa}wsD+lhZs!!a`AXrvr7i8F_Qi7Q&qPcF-v9Wio%zC{
zW@KU#!X(&C)lTrhS_b{vso}%rnW&r})wb8r;V9X|FQ<RW-d0^bpz-|J+HZfswtS%{
zU9+4~eEx^eITD9bo!)9o0&n~GOoRbU-kjIH3Gx#On47$rv2S#(tQ3z5xgGM7k&)#Z
zw^GS(+iCNBQgGTGG!g#3wY^>c@rLr@Op&prCD*9)64&(1Oj2p-<*A0Cy2G8NTh802
zNX@T6>W%dKnDd|ct$n3Z^7c2(&CGIN_OMnQE@s-ieqI0Rj>-CjA0xAX0L?Y&;QFv@
z(z(t%W`T_TvF26G3HLo1{QdnS=YOSndwYk*#f@ZIK4K*wbw9HF)7Lkd_Swo?D&=Q)
ziu5hRhKm)aCr7F)TLXE9C0iZB8}0mKOw7z@wr1PwLhhfuPfTQ@6LqFQ5_`=yc89D}
zva;IQMGFcGuX1yfu!f&UE|HV_3=eA!J1=EreEll^>Q&ye;32l>&!2}44h}A7#m3Sd
z?(c`9xOFO;4i67+7H59_n$&ExXg}g$Z*R{_8x+@fB}gh>*fDzua}ghRX>rk6+it!q
zsjaDL{+W_<Wjx|E^CpJhn&IJt2SS!(BLgn957pch<AfqeNlCS{tJkWIWY9A+Gk9Gu
zkJWmll|<1-Vq!>mczC;2&&ZYxnv09e;^oU*<sRkB%N8$;jU_c$n&RW*wTdh*$Hm58
zmnEC)h-+<VkU|?tN#Wz3IWxboAj{3oo&EfWFRE1U=b483`X>8rXHh?5`j$U`RM18`
zIt)JE-WlDd^Ru%Ja|s?g?qoWy8<N4ad;!_n*>ra;Xh`UVB+w%Eixk>gS|#>Ns%7Qn
z%BfFZZB92=IBg^k##A4)Tf>Rz>FG-i8;Q}=kzASrcC!kl)vZzGgqyK~cKZW{A<eBL
zK_kO7Z94~bB=;{NTU%Sgq9n$~#tKSGY=eSLYD3bFArT)x+N_WNw6L(4{_|D&rHP3&
zH8pkBM#B{a1%+wM-q_fbIy*c2{QP`V^~p}o_WJrbtatRKf_9!+C=L%Rt1llPUt4o?
zQbGdb)a0ZLnw(WZ&(=17xFRr+aBFij8jXHHLPE0mS_p0Q;svX=w)Wuf-?gw;a343{
zQS0a_E0fF1%L~3}qhUp%)?o>+9UV>F+(hk#=yl)BP%6go`cJ1a;p!O~p$av)?Ck6o
zrl#t&%N;&t$vRXqn;03b@AT`g*_Mhnb$54v2nw3<CAzZTbS<Q-vC&UDgdt*Y!D@N7
zK`*-#HvXFm`$4SzTnm%#BgRU>&K2rRPfuiZs5k^w>UQKXYS$?$8k}0$n48P<!pKN#
zi*nGwk;}l)aAIM>AKnw$9WZQaYVvG0s%>QS_|ViOqoSrZm7d`4osx1bATaQjNe3Ox
zMSLS;V;tnEvhppD6ITI2LH*McOxMC|^&c;YWNLeQ$e%oUA|o%4E6dBrH{nBaPwden
zqP`qm?tar^NO1vSVZ+IK|7hNqWN^UtzU7wX!5?`JD}Sw`a6C~m574NK3?ekBJXkHl
zBkW*j$kT74sd*(fHkL^?ZnR(^D|01<f3B3RQg9AZz5%{GF+Ke!{jXZSOsF5x6<^5I
zrq-W7e`aK7`^u%(o?wn9=H~pmx*pdzHr91?5F_K$({IlbQZe!IQR4gHxa_U|n*0@r
zgRro$beR>>+;<l_gNsW_L-W4AUP1=_HqWrp0773zR`%!mL>(y|-G}Y%ZDNd*i%YAn
zIWO(}YoQ-}IenWmtsB*+N7VxrZ|*p(4*NqkR~)UDXJlmj`z1iK#eDv}u~Izdus8!7
zTATLhvsixJ;lHkCsxf3uxqVe@YlR=l`1Z|PC&y1C3m>7NqB8iC@uaD<Q(8-l&eqNj
z)^HJ7-`k7Y)2wj1#eD4=_AZ$6(jN3h6c_W0h=@E^Rb?e9`}Xa^qeqVf99QXBmEu20
z22v%JmC>F*e_p-RmW9D}UA#0~Zf9++bC<18>yiA+Q+)OtH^d=tiVgYs@$KB4U0mvZ
z{W`m_un>LQSkBL|v9U3wu&}U)Kdp4GMvHN0XGb)CZZwv}JYma$s+9T4MSR#^TqGbM
zAT%=47kjpX0*ckuRRRJ61X&&_r-tpdErDysXJcdgu3b(Ak!*{Yw8y+FD-%Mouy~<b
zT3RkKFa%Fe8$p%73Wb&Wrj}<^6m@M~-OP~KY;@*%#H^5(h=^!&S2~#PXS}FOnKr)X
z;-Z;~ib`T~@)=mFdWp?dUt;<I2;?9Cb{RqtY^{-8PHUBWurB;c9g;XjKYC$@aVQqc
zo1-heyRQo8O1bBTzh%$<8lCS>xy-<z$jHbDStKPbt(@NTB&Xl*Z^6s$&CO)U{*>h8
z5`$kCAg}W)Dq>Nk?ilAY<NoAqLVq5~$tC~zaR*i=Td2{_A|IKXl@)~V<E5{!|Juf8
zyxyOD0XExmsL0-l^!MMt?EU@$0h49+OKp9qW<K-2$0^-5d#fX;=79nAQHLQ*+ql-K
zA>C!|6YHkXtFH4&eomXyvTr`GHt1+*{9U1OUhFZty^$KFlPr~z<l}=2C30b9g==i(
zs&Lgn`QLlacJVIGc_vnzBO}bq{=KUjTG_DPh=_=|zSHBaPI}txjEqq0RLhaFh&wOZ
z=JR!q;{1M?bULV8-~Qxuy#I=df@1q%^tB_OY>QF_i#`8tJX9B@&EJ*%$;r&|_uR_V
z=EltqOCq<1qw=;T9mQ9-<=8klIG&=vD1FDI^c@~L)7^Kct3Dc8TW`2xt=ADNs45zt
zc<~$w1736Ei;mdA3AH$j-L$0q{M+9(3NLhuY<(cevuWqF?VmKmJ9q9HKYzcfA2o$k
zMUe7iJW?ZZQi;&BlJgG1uFC^?C(92nWy_{BWvYDpfl|)Q%(UzdnbhLdIiw8w>A=NR
zv?_T+g}wK==AKQRfAjcXw)=BGM6GXV5#Ew6x_u@@o-97so>9(mXHB2Nxq#Eh5GNK7
zi6F&c6yd}eO+`}3YlUUKCriee$C(e>eV=cCUyjw=LK1yG#OE>YWBK|ui;)ntKa-}c
z0_&PL-f1hVwPEB78*d`br@W*_9JffH;Jx0w@E|=oT1P#QAfM7=SSA9cpNA*V#K9sU
zR=alB>WjdfDwE<j%8z~q>;wrn88+D~uPB$Pb8B6L@AKe1nKteT@aT~zJ4qS4Qik*X
zsEMj*(&bxFZ-y6Mzt!EBrly|#>0wXR#Hq8<CCr*M=C`iQ->px?qb~j#-5bI+a!DeT
ztIg;EuS%EWUP%B?jKcfX&Uh<412cW`5R>1}AN`T>9PIR9?)nzRW7KcayqTb4>qDky
zL}<&Suc&ktA31Mh%Oif=kac!&IZ7$wy%>(?xoma%y(JIbDuYTVr7RnadSvrQ<4+0;
zZ{#O5-hX}fFO>UlZ1=zW1{Ef84e)YQe)G9}U&Sc>onV@?h`7UyanY(VQy6NY9U#=h
z{Hrq+#?>ginHNIytd5ROB&Un^=inmU>dmsDw4jSjy}iAFn+a!VqQ$MKDJYDB^1UC>
zi8ysl^8KQF{;$xxBu+&kj`z<uENG{D(v=J`hdV_UKVO)cn{Pl$O(pp;)E2z#S>Nta
zN+~E%aX*HpqF(9Dr=g+o-S#*phW5KoC9S1p)T&*ApdJ3JSFiTrldq<mNTF_O&Xn{S
z^f3JsM&YQ;|Af({l@NMiU*WY1@-f#fB4%c09_vw&<Nc`+f(sXFfl6@@jVvnbYD^Iw
zue`ar`9okX1y*u|iIo+<w6wHjr%&^Vva-+Qq(LU#URh{F1m&l=xc1Q&K$(yb64^~y
z;`f}KHQRDnUW`JTPQRs^nwoS<_rS}_Zqw;fyScKFPCcGnz_orpEZ2Sb@Ihyf&wf!w
zN<!lGw>$7+)N#xW)x5cBduINRwBuauaI`Zmw=6y$9*>~l;PTy(I3+YtrM|p;;2>tm
z*u>-xREghxZ&vzx@dkT(!l5*$gol%}$W9KI+6@j2$e;md^`KRXii$4G%>07N7>c6i
zRIiDSrYQ~9$(id)diW_OMh@N9+G_at@g+W5qLJa@ec1n2rISGJs-`C?Qr*415p}*q
zQ%Mi~WYFn~amfH_#a1J7j*gB{)fMAKK2dY)@M>=HS050u$R-2VI4%!}qlfd22~9d;
zZ|pf9Y?9nR7DL)PJJ(*{gRT@EAFr5i7g{b%J=<WknukV{5i^KH2L%Pi3fZ%-EHBSb
zPS)~|I{CmHft?U$Xh(u7lasxJgM*KkbWi1g4Bbx-<|>^>DK8r#AN>9G0f+2tZRh9a
z8cRw9(9>_vlSjwKawhNsl+Mn~++tyQ$H2hwXW=!fxvfp1tgI|QHT4~wZhL2EhLF3W
zCM}IMGBVP(E&7&%jLi5~<@EX0)eb1Rz@Jr{EgZ1`R?YI__%#4;W`!EFv$MYe6U!Y|
zZfk}wyGnL6HH|OjRFBTsnwhabV~-eiam>DG>o}L3ertz!bT?26c7JbWNE$s{<tDsV
zI>&(K72e%tsH?4w4hwr_s2hfp`{j#-PO*L+zVF+&U8cPGB_+|U;r`HE+B!OBL$5xJ
z{`j#zGLi}w-ZJsL%2hDxrnVe<xYC6mZt8Q0uPjyhEY((MbRF@cpV^e+zd!@iby?v%
z*=*(J{iI-FX}PjqA1`PpwQ9UNT<W@7ItNYi=x(8moZMuhxKBp^QoEJoo6z<+LOa97
zb|;q$`K5Wqd;2hsZJRBxd?z*fJm!7{#tWEIuW_F{cP<6EhdtuL(cYRLwD1QHACfXM
zk_Zb6Bc2d?RGjLbK+V9kSV#$^=Eg@pe*7qw*=umTzd>;EqJ*9v6B#-ARavrzVEVu~
zVMk^bma}z!B+@oEJimK-gtw=l?|Ni)n<n-wwDm1xVVjqqe`?5DxO!vhUzq1?_mAAT
zGaA4BVi^m1OD}T;GAoX<xW9e-me{|Pq?(C?ynFYKhR=**b8Cx~n%WO$MQDY%$T0>p
zgQ4Qq!NPc3!hJ^CAbco4=WK4ghbXzu!4a<H@a!37OiYZ;>ad_fyvXH1Dy|3i_I%ih
z+IB`xWPjYpRy$&GY;0)7>$cjD9H85Y$w}|+?biyQZl~56ZftCr!j^9n8LVnWUr}~*
za|@YT@n>nYdUUrM%XJ6w#!sG*{{H<t*R-4YV`OCQ$Ot_S4i4g3>9Us$p+MXZWe>~L
zh35UtLP8qE<KLhEc&w)8_vH&JRO0#b%K&g;v9TX2DnukCB*tss5w34;K5%j>aXo6L
zv*W`N%Ti5AN)jJEX$reG@WVtYs<oq|V*s*o)MZWdOKPfkPXEL79{t8(`u+7fl04^~
zMa4#b$D3_I3ucW&QF$D{d)vZb2x?znw}Aoraq81sLP9Y@altSW_oO{a0fNLFAJb4$
z{-Wei?dtE3f*BaqytC9#jwr<nbSGIoeM%M=7bj>tE%U9{?B?_Qx0aTcyfhat5)!6B
zV6rL3%6NEqSPd0r)y3wy5zC@sxX~)MiW`hUmA+`FHRGjS9j*L~x_sqI>yTCXqinmG
z{AQy`dG1PyAgPBCeL_M)zlVl2tCk)(#9sR>Or4sVIuiVqe`@7ru!Ys~Klp4?XIc9{
z^O>TGq~tqS4$Gy!tk_$IQc*j9*F<7PU5e_Q!<*|Ne10S*CU)+nm1oL6CDzg{C@9Fy
z$atTwl(71Ydjy*nWsw^?9m4}ha^2#qfdJSH_gtfkhiwT-=mhk3rp`yEHkDJUrF{Q>
zF;g|G_D-jWkD%S`KpDM0l6#;Xn28;7Ao?_muU=&8pP_tyDI4|gx{d0mYnoGbgm^#c
z0`Z@tzto`^e;BndjfA9y8S3Aja5xH3{%8Bm&2qVP$i(Vn{mW>bOLH&jH5KO4!=#jV
zHwx_Rf4xCWO>4T8uCb(KxjbdxFz5`>(&nMBxr97)$7tk|0SPga5{aD?BcVL0>%(0C
z6s@7&TuUKTQkIBMriF-|DWE0ywIGW6zGdFcFYrpTh>V(AM1j)EOqX?h*uu}xVlW)b
zX#S|H8fPv>W!;t&D`=;EDsZbX*PCsxN77b;4{79J_+1z?9zk)F?{#5<%}zb#;02Vl
z2s_TABFUv)+ViA$O=UMELbJTo6+E>?4f5+I-Ph*unbN4Jig@F6*w4=)1NL?fL1yRc
zMiaQ6?O2<%ux2+=rJ-{#k+o?vn<BG&y3+jkq(<`L>u>8<4HasFYsfK!zk|dSxHwIJ
zMbR1aPF{4rms9Y=XRPQPYC{^uC7~6@)nrspcP0oaSUDw_cUoxt6P07md-<xnxoU|!
zXRA?5zCzkS8A&R++CPE#KT!#mkpFMqpy6TM#vF~ERz(|mW*z173X$L-GLQJ~uGVj&
zWQD>)Lob;w-9u_d`-loa9Tat1*DEP6A1b5dc$H_5OZ5yYgRie|hlh8&6uv?zj#x@}
zO<i4GpCv(M*WbSZzP?^tj@<u$_`?6QQe358Y(=jF9YeGD)uX#s!|yXPuH)ftAKN8z
zS09tXlnRxdP3b{q?_`JY8Xl6N!Y&~t)iSjDw~+93zw!PhGBR)D*2w0i1n0#Yq4l7p
z@PIP&2GbEIob>eTI?$D-nJH$qjL5dUuTM4ftyIdwwmL{S_(ZgLvWr6`JfA;*PU<!l
zT9GD$u54p(zhZkoy!kDB_988Bh8o}Jm>4}C8t2{~ToMr`k2o~i8%8UG?qtchqMoIl
z{gb1$jT&5%@$sKNrsn28DJdz(B{@0V4r`-9bMY?3>=Cvney$_<gQmR9w{DS+x$V(|
z+_zdXMa-#PMgdSE;IK?{?_iqTv`_=C?5(e_!9?vl85x-x=#A4HA)wsA6<wmFe0QFl
zH4#!=*kM@=+QA<)zBHwT;P>wdK-B2GcXScE6<x!_7hxXf)UBd3Yz&r!kKMKW`&OFK
zjp7_JotV5lAvB+jgwulr8(Z7OqFET<y9Nf{?~S^U!1#_;aH{qv3F(9#E}Hj!$MIBb
ztqe;@2>EPPc0NR8lfc&2HWdDJS*uiYKMs>-_=#1Na;gq5{CLrxzZ`Dxuz#i42=)~v
zTbr3v6=1*AmjuiG^yw4g>2|b>RRF9jHt^#;PTovUPh+oyoJ~<eTpZ_v)HNirq=ZH&
zju=XzG-yL7n^DzzwQtWmZME}bTPJ9p#Dao?pa3<Dot`*Wtk)7^|LYcrhtN=(D+`K>
zCP9UBnu$<bZ@hm(`s~@W>+I~eHSgTKNqqC>&HXyY6HnQ2Rvg5agfaNlR710Uj@D`r
zbp5G#msPLIN>S|XpcAzHQa9y;PgI*M8Mr=ZlF+P7$x>qFa}gmC-M$nX7dNrC76RJ9
zB<RIV{s6GU_WjzRFkz(~I7COn{gCl-J(?gX3TkTHlGi&iJo;zgCS4#T)aRkGf&1=-
zf`gDkuzGu+34N=WUI#=A;_@x?K2DLN<sbCUpFr)Uqo>Ep;QL2MQ^yBeFU%cSu3yin
zqnK=&iPtKz!GZQAW@>sJVM3wsu&<%J`>n7lM0?iMh@sfn_R4m}97hznhKGlFjG8XJ
zc~k$M6dRy`JFt#d>*L}OETq?@n(V|2HG;}l%Loq+4oX&vh8{nD>^ajKg^QS(nRWH`
z`9|qDf3153froExZO!>SA5Yh9hZ2}!d}%2VLhj%fl_&Ami$V<|pPza~X?z8`Zt#I;
zNYv~$YGcH4%sxg+LQ+y6bbXMyisiU5E0BE;AL7ETUS3{C5R=aMcYc270LE>`YjBP?
zLOfuh*AS#rbT76-7cQ{Ka)?#ee`t-Sq@<)~aPTrHgOR$Se0T3AXJruq@7Kdkz-}do
zvUEbP31nqu=}(G14gv+xqJ0IvaA&VUxWOz_T(R29U5zyfgw75E=!D!mypBz_50~%Y
z1D2>Re67|hRwjgWuRg`BA)YY#P*6}{cNfYI4X^1Xke@Cf*RNj(%`=EDThqFd5=5&6
z_rn{&oim;z?nf)8R#pvgrgP{Ln~5_;RwDt>Y5}VzVH+eN8?>~vc&vs6O5+7*&CYnn
z#nEeMYR;_4%gIeQmTBCbn{E!z$jbT!wg~oy9q6j7(|~mSSVw2{WdcmRb?xm$fRU9#
z4Pp)>I$=QEuO{oyyB^F$nOa!X!zqHA!`U99Q6S(>c%006jE|3dezvZ<temFsbL?c7
z9}f?&1`Yx1<G+39&c+{QrRE*qi<iCG;+@WvJFYd1R=RX|b$NoCDzaXK`}nI0h{ZKn
zE5>!-2FtzO(v0skEKgQSVDUBDjwA0tYpc=YVdCYb07jG4*T4GU!2=|*Ctq;P{fG-9
zdwlZuhFfQfRFHRZv12;5TTSX|pvcMo)c#h&>98Tj%c|zsx2Yw9L+NOLe|Wh6zz}3}
z2niukFW7LHJ~l;1VD!N%#%R=4Vc{!h&z_Cb$;A<assI^AqNdhQY`w|m-_jyCzvKLY
z=2o&27MsqCRmC}0j`Uz=qI4gF1+xh;e>7A^JuXzmTnzgAl5J&rx=H#9D7LRoj^Ds;
z=|hp#UhQ|En~+1JntLLu7PDDBZ+bW}Z;$NQUoMdXu~N*|_V$amXfMcW&Ejk7UG^T5
ztAUU_On2}0L3>lRd8i$Bc82VqQo>stK546$FMqxxq_!CG?IHyKrN}DD2Z!7U4f5il
zqP0!w=o9+|KUTD?^^_u~5*jr_Bsc#zzq6EwHJs35#P2szG)KOH?E8})%gbNyu1a*{
zw}oUxTo;PVR%HJpcIE@|`iZIUm+x<S5av}4^)RV-2Z#!j%C2R!`I7rb1-!uk0udY}
z6gktsmUCVAT>YO~In@`xHLYs}Wj24+8u1$JOOwdYS^kZF;LnjCG4Fp})_WoU8LJB=
zbNPsP2`h7xDl@54G(mZ*>fn=|C6$M{|HfC<lkI4n^sb$Q%9*-zsmhp<@Za!#%8U>1
zz29cvdmy9qe&HS8dnQdB|3>lGJA`g#=hgqN5se_ATXD|X;p6h`eSK>fb$mZ~Eyvx8
zg1L$6#hGLz+T~8rXa~a+OmAn<1H3`Bj4XN`uWP0tIgYlTEOhc+(OJN~u1#(mZclyW
z0~)UqCC-h5f1am+8<*$II>uh}=Y#t4G0rB_+Dpg~GM-PuT*ioqx%TR78W7-3IOlPO
z-)O!4$zbW;M@0oLy#FJN`fso{-yagu-qI37q-W#7(9`#uNJ9;2YH2C!J|XD%1uo``
z-Tt44d`;{TW*p6$hg;D_ySax)y4C0xLj_^(tg^plk>cI{4fq5aH5kMoO6%_Kj(MY=
zln@7c6A1ebqSh}34TArR0s9{!9q#Vha@;*PtV009S74Ur0>5?T4wam|e7S4e=qN)@
z^+{R9G05h6N4qQPU_7uY#$M0SEqCCuDxIPFu2q^}cjB_U>;;yKVTdTJb@A(krys8H
zXE#>uE)U{LOG~$X=3g`O?d8T_raXXFC8MBFV1K2b^ZIoH@INd6_8Hy&Y06t`$~y^Q
zgw@7oj6sOfA1a1neyw7Q80_CH;-#@SbMzvZ?VkO)`=^8Y7;0TtFCdC<bq@a+esrPf
z3&0?kQ&bp%<04t51uaCzV12yf{z!IK7Pf<+zFK?yEv>3z08Q)hS0Q)q&kC$6&z|Xn
zk*d9F!b{sdFhIc1U#!zx0mb>Xkamu<M!7@Q@lFh%Ikx3xX%;*D%}z}{d*jB9{k78*
zYplrwJ-uWh?elaa2yqU_CwtY6dt)9XE=QRj0YHkkOuG^@N2~7>4RG8>KxU|~udiur
zJO|cDG_>ym4K9S~&K+_uFE4OPJVBL<ciVlA)WDRS=X$V7%;)OnwozQ2!IQZS4+kh?
zp9R1WAy}*eEYTmx)nDJ<mH=C5e`##UZ6P%ZOR`YI_4d~%nwpz&Y+lApEiMLBAJ1^Z
z(CwX`&X%U|$=lZ#{|Db1AdHHt>LeD-0Qm3_r<KBfEOs<wv`dGtynOi*4qXq;@FEPc
zZ!A`H+z*Ulr>@?+SEXb>v@%xBSXEVJV`o=axi=aJfUEN??u0kdM@v(aP!<jSDEOft
zaZ+NUSp1#FhK9*s)VdNtmjD%5UvGMD?%M6!WN?nIr5(ic`*%)k?*NnDS2gpOwa1Yr
zR_6fE6`<?^jOX|E$8lpJG(o8laNfQS$dPN-%Wg4{E54eVmq!Z9WbNP&lZ{S~6LOG~
z>b-E!we@jwa=wM#++7<B0W$_cynTE~85nN%SK5~HJ1h@)0gKWBOh*el-UREhcj6U4
zKYs<d`U54e42$hnS7D}RVrRc_x}$sg4m>82oj=O^ScC6g@8b$cg~RR6`=@QAu*X-C
z$d4bJmhM^%)WGCJ8ze<VO%3KuUVc6r;+pQZ5kWW_J@EVY1CUn1aScU9aqD)Z%15D5
zj%%Zjl$4bEdV8N__CC$*y?ys?By8j?bm)cg@tS@em!Rt7O+t7aK~qyx7As{kBmY$v
zYX&B4soegx*qbS6`L{rE34G?SPrqW_qJMbN&)6wjTU%w(ySuxf&aujZaJybyjp35D
zZAP<z78$lQFf?R0R^=AA=mF1MfW)|xds9Fl8ia=>`?dS0$9Ldbmqs7ea2bi|hW*d>
z>gsP76>w^E;emiJX=$~3JbG)RmDp;5B!2mV2Vymr*g;YQ5h^S?nm`uK<FKs0JX}f+
z2}N_yRRC^NSbY3w5+h*bfq9S=Zk(bC@FI$p)f=^1xu@gw=FL^OE$}=AqsQ^9bW4a=
zZCA`re_R^FES7Qz2nm;RZ}ReP#~c+E;b07Mzy)=#WB>+39;>Ur2YLAF{rildzBjeE
zOM--l)QpYkj#_U_{(Ar6Lp_uw80>i54qqct-t!X^Uf@p&n!<EoYGzgoayZYMO(RZ?
z0s?Riumcxh$;P-3NsB$V2Wg}3T<@%zMjfQm+bCW4%b*f%mhq3dl7sMC3qGHag|I<A
z!SO+-N5i*gnKl5fF!iQ19>TaG;C}4nXAj^Keaq0-7+;SC_b|YMhi00ZQ&LhAeDpe)
zFCJ@XTmS(ZQX4^bS4RRtgcj5SdCLbR%)V^x!1;MoK~I>g9%yURqtR$FGAQ^2BqY*+
zB%7O?mq<yy2&r$@w6+pXOiX~`A-Zdt&5C67njJ`9MPQJ@gUY?&Fc^!?S@3N+RKM4N
zoXUCXvf0eGk>i0Ogq6hYzByb-zXeyZJXD<1V+f{r9T2DRu?yIf>r)~3nZZy;VP^(N
z@4au;SEO|3no^`gUN|`kxVgG!JpD>TPyZ-RQMyv6^JPz3cWY}Pbf^ztg9cD?%r7l*
zbW--`=qe#1uO=n@%7D;cJ2=dOCiqn~v(%`Wtf;WCTaSl_lk)>HF>$QGD`pG^Q))SM
z7kwIkt+?}(>}_^-xp;mDwQyAb_va6Tr0Pb>9m7$EhK6s3EQ_1%v$d@Hd+83E*%GFq
zhYimh&<Z<n_GfDk=?4#k8TuX)ByP3|5yEiXyg57D{uz=8*3=4Y{0T-~T=(GNoI|qd
z)`+O6ANl$Dt>mg|YHZwUDk@z@x5H3iFSJ~~^Wyb$CCFla{wNq%R&qzdq21q@f(945
zw5<wOYJPS$h>}%GI~G~rz6Agdr~cHN->L$}0kyOdW{|B&O{)p0Uf-QLlguZx-<|y!
z5uxAv?U~c;Clelc@B*lEI~>RDUmht?B}U<un$bkVe+YD#d(zO_ivB89zV(7frAo&_
z26M#k(gq!YDj^lX#KG9?bvmjfehClz^EmgEge{;l%$vW>8y-GGWF-|PvLEPq|38{(
BJI??B

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld-members.html b/docs/manual/classbayesnet_1_1_t_a_n_ld-members.html
new file mode 100644
index 0000000..6b481dc
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n_ld-members.html
@@ -0,0 +1,174 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Member List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_t_a_n_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet::TANLd Member List</div></div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>, including all inherited members.</p>
+<table class="directory">
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;TAN&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>TAN</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>TANLd</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~TAN</b>()=default (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~TANLd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
+</table></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld.html b/docs/manual/classbayesnet_1_1_t_a_n_ld.html
new file mode 100644
index 0000000..2cbe980
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n_ld.html
@@ -0,0 +1,432 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: bayesnet::TANLd Class Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classbayesnet_1_1_t_a_n_ld.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
+<a href="classbayesnet_1_1_t_a_n_ld-members.html">List of all members</a>  </div>
+  <div class="headertitle"><div class="title">bayesnet::TANLd Class Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Inheritance diagram for bayesnet::TANLd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_t_a_n_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_ld_inherit__map" alt="Inheritance graph"/></div>
+<map name="abayesnet_1_1_t_a_n_ld_inherit__map" id="abayesnet_1_1_t_a_n_ld_inherit__map">
+<area shape="rect" title=" " alt="" coords="100,226,222,252"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="35,153,143,178"/>
+<area shape="poly" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
+<area shape="poly" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<div class="dynheader">
+Collaboration diagram for bayesnet::TANLd:</div>
+<div class="dyncontent">
+<div class="center"><img src="classbayesnet_1_1_t_a_n_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_ld_coll__map" alt="Collaboration graph"/></div>
+<map name="abayesnet_1_1_t_a_n_ld_coll__map" id="abayesnet_1_1_t_a_n_ld_coll__map">
+<area shape="rect" title=" " alt="" coords="187,241,309,267"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="122,168,230,193"/>
+<area shape="poly" title=" " alt="" coords="200,202,237,239,234,243,197,206"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
+<area shape="poly" title=" " alt="" coords="300,206,262,243,258,239,296,202"/>
+</map>
+<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:ac1dfa12b4bb1e92584bc3003bbdc466d" id="r_ac1dfa12b4bb1e92584bc3003bbdc466d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac1dfa12b4bb1e92584bc3003bbdc466d">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:ac1dfa12b4bb1e92584bc3003bbdc466d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab15adb287cf64b291c8b574edde6dfc6" id="r_ab15adb287cf64b291c8b574edde6dfc6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab15adb287cf64b291c8b574edde6dfc6">graph</a> (const std::string &amp;name=&quot;TAN&quot;) const override</td></tr>
+<tr class="separator:ab15adb287cf64b291c8b574edde6dfc6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ade52d7a07780eb83b8f130adfe218bcd" id="r_ade52d7a07780eb83b8f130adfe218bcd"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ade52d7a07780eb83b8f130adfe218bcd">predict</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:ade52d7a07780eb83b8f130adfe218bcd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
+<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
+<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
+<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
+<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
+<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
+<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
+<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
+<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
+<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
+<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
+<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
+<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
+<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
+<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
+<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
+<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
+<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
+<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
+<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
+<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-static-methods" name="pub-static-methods"></a>
+Static Public Member Functions</h2></td></tr>
+<tr class="memitem:a58d8f587e24ddda44978f17a5adfff50" id="r_a58d8f587e24ddda44978f17a5adfff50"><td class="memItemLeft" align="right" valign="top">static std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a58d8f587e24ddda44978f17a5adfff50">version</a> ()</td></tr>
+<tr class="separator:a58d8f587e24ddda44978f17a5adfff50"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_t_a_n"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_t_a_n')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td></tr>
+<tr class="memitem:a0296c5af907bfbc5a0c8309aca7a2a48 inherit pro_methods_classbayesnet_1_1_t_a_n" id="r_a0296c5af907bfbc5a0c8309aca7a2a48"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_t_a_n.html#a0296c5af907bfbc5a0c8309aca7a2a48">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a0296c5af907bfbc5a0c8309aca7a2a48 inherit pro_methods_classbayesnet_1_1_t_a_n"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
+<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
+<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
+<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
+<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
+<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
+<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
+<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
+<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
+<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
+<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
+<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
+<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
+<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
+<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
+<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
+<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
+<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
+<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
+<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
+<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
+<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
+<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
+<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8h_source.html#l00013">13</a> of file <a class="el" href="_t_a_n_ld_8h_source.html">TANLd.h</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="aa509b11435529fc5f38df0e9af8fe860" name="aa509b11435529fc5f38df0e9af8fe860"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa509b11435529fc5f38df0e9af8fe860">&#9670;&#160;</a></span>TANLd()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">bayesnet::TANLd::TANLd </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="ac1dfa12b4bb1e92584bc3003bbdc466d" name="ac1dfa12b4bb1e92584bc3003bbdc466d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac1dfa12b4bb1e92584bc3003bbdc466d">&#9670;&#160;</a></span>fit()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> &amp; bayesnet::TANLd::fit </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00011">11</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
+
+</div>
+</div>
+<a id="ab15adb287cf64b291c8b574edde6dfc6" name="ab15adb287cf64b291c8b574edde6dfc6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab15adb287cf64b291c8b574edde6dfc6">&#9670;&#160;</a></span>graph()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">std::vector&lt; std::string &gt; bayesnet::TANLd::graph </td>
+          <td>(</td>
+          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;TAN&quot;</span></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00032">32</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
+
+</div>
+</div>
+<a id="ade52d7a07780eb83b8f130adfe218bcd" name="ade52d7a07780eb83b8f130adfe218bcd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ade52d7a07780eb83b8f130adfe218bcd">&#9670;&#160;</a></span>predict()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">torch::Tensor bayesnet::TANLd::predict </td>
+          <td>(</td>
+          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00027">27</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
+
+</div>
+</div>
+<a id="a58d8f587e24ddda44978f17a5adfff50" name="a58d8f587e24ddda44978f17a5adfff50"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a58d8f587e24ddda44978f17a5adfff50">&#9670;&#160;</a></span>version()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">static std::string bayesnet::TANLd::version </td>
+          <td>(</td>
+          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8h_source.html#l00021">21</a> of file <a class="el" href="_t_a_n_ld_8h_source.html">TANLd.h</a>.</p>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_ld_8h_source.html">TANLd.h</a></li>
+<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map
new file mode 100644
index 0000000..4d2ffb3
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map
@@ -0,0 +1,13 @@
+<map id="bayesnet::TANLd" name="bayesnet::TANLd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="187,241,309,267"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="122,168,230,193"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="200,202,237,239,234,243,197,206"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
+<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
+<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="300,206,262,243,258,239,296,202"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5
new file mode 100644
index 0000000..3e810b3
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5
@@ -0,0 +1 @@
+52efa3ac9345f1a4c851d818a575585f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..86f237556c2b514fa9a367d17c2c863273fe08b2
GIT binary patch
literal 16530
zcmdVCby$^Ow=Vnu(h|~&ASI1-NlGInNJ~qJAR*mKgMhS@AV?@km(rm~gMxGl(j6io
zoUwlUefQbt?DJjc`o8}@d$H!jnsdxC#~kCn?_tC}bwvWaYj_BP5GX6jX(0$&1pFq(
z!Gf>ISA`3~Usx6@igL&W>SuOiK>~u%A<A-hv^_I6r+xIv4$rZ7etQ^5%iWXvTu()w
z-_`ZNvmw}Wrc8iKH0_55=7*T1G!~91zM}8)>$X-beJZKR?-c9bsjxr3Yt7)Pd|ySG
zxB<aK?{@H*X_k7S7Hlm2Y<|y6B6i?s?}qQPMEi!X`!BIdd>r~<VwwN>hqk2KCQjw}
zRGKBXL>rDK#oc$tt*x!fNki`1+S;~ORUCHAL9I^jO`H9tRx@QazC2cZxsjK6q7};{
zlZe?Bfau@9>d@1~U83MZ6R7FEJb1sHL9-A>>rlytSBy9L`Q&luKJ1LK{ZVX?$E~RC
z7)EqM!Orge46m!rpjaTWO!%5gBx*wSZ<SzDW&fuaPwJF1M4Zw2ZTgGDIR!)WAH5QC
zFpLW*Z91__ntF|kEDvOLMsYWV)60g^v9jXa&sV)8BlFzh<Z~1yufv4E;^Lxq_ult!
z-*`|jmX^>E_1EGN;o&&N#`P5S9@}5e{_JyDeH>9Up8Abu_T|OZ<CWal$molODDIu5
zl#!pj36(YjKf0RLtm@_&oR2mPiuKEL7%EoY-!D+-N$<1r{*eDjzswA+KT9eWi{M&I
zUmpQB5v`n)lT(D_>qyt*9dp;!Z<u248!ct#?L01vN@pkQr7OelNC|1hageY5{a>DA
z;@e~IMkc4EgpG~q+ooY5I7CE>s;ZZtG#=`{&C8o#8Olwnm|DxfwRMW@%=m1ZcPFwP
z|5?t8dU0`nx?S$J{^PEJwU=?76B<6{t>UVq^?1C-sl?ROh$u?#WRXo+Af3UM5I-NE
zJ$7!<qqI<1&_w2dT{QzEV{Wg52|V}b&!44k3JQwQQ4=2m$A(?3A0@_7ag2%<;}uq)
zO>7*eRUU-JyPWT5UC5=}GA{Ewbr(NB{`u;*8+)%c|0lQg(1I-g3G<otF3oRMx*rV9
zm-{oFo<7Aum~P%QZwtmfo}4`o_1SK$?T~r2y^Vu>{P^)}U!U8n#!p3$PyIV%Xm-Ko
zZ5HK;Clir|*7Wg8N=juu`5Ecy4<6lkxt4>+MnVyVIX^$Yv%C8&C52KU=6b}&hCL!}
zX~}fkbp;6s2sl1I9wW5ORfukTtDF#7HIyTdf3_WPfq`^<{ycv)>8RL~%r(Ec84deB
zN$t>|A!<9@Bysll@6dZ44mm|dj5?Q-?bX!?BFSS!EnO(2wpRG$Xfvv}S2fIG#<`P5
z#AEAvDAA1=4aq;35FU>$ql4|)+2rks`FJuivbp^9Clv&f4?Gmt=UA8L+r!Eqb`ti!
zmY~Lx9g>>vPU7Hw_~ix3Q)5R$pYLEbA_2Q$obmB-96Y?X-JhMjkG?TAoNm=0Z&VKO
zn6(6IjV>LmelOH3rA_8GjR9lojOTrd)Ybd_SI^XsoQ;i*kee&nEj0+6=t~cG^JS#Y
z_Ya@AxH!+_ADj=w944w-W2Me<kg+;vMqgiFVk)X|h3ISMYs2r#3_pB6DtPtk6@vi-
z1H<6E`z%Z>EGbI^?AIeABk=^&`#6hMR&3GDJUvC=uu##^sF|9YD#*#bWU6=H>>er7
zyZ>E)nT6$hdwWoMdAU)gH37Boliss4-*`*d1_=p?)P#ig;$qGk+o9*&jRz#$#-BQZ
zgD=%M&c2SK;97u{t}ZQoe(~b+ujS?aKH*u*Qj<od_|DiHEJ$c*D4&>EIxjEp!S3$7
zO_txUGPQX7nFdic<^+dERc6xVzI43>r#pAh(402L$}<EXQ)Kxa84%u(%#f6n6!+Z8
zcA)iH-?F8-zGPJUgoXes$RT|^Au&-7QPt3B-nwoz-fv)Fz@!X*;(s`z$JBLGCArLI
z;B{V!iusqBMxXDNe7r0y1*)g%<M!58{<vA=_P;(pUG7fIgA>Q}NZ{Hdq4baLn}(n2
z>-QJC5}3MRG5q4<4a3cUt9yJ;H*3dh9ZlmGe|&gg(CqJrg@qN*6!2$>Qpj#N91{~$
z_3quA^mOXxzef+^EnQsrCTkrBF!3qKCbJe67WCnP_{FCK5}gkm8<Uikm90+dDZr<R
z`>gjTx+g~Mir2YFc6WDcoChRNIeiXR?i7u5=PJf(eHVBw<`H9EnW~m1F#les=v6|3
ztcHfhWDFnpllm*3XG|YmmhO7{`0z_eWP-Q#_V@oPHmDS_9i%&lpyBH5JU{jEsn^ND
zBfGROQ&UFq0gak?9)|JPc`YuPdd_2pIhfRcPtGq>5<eJ}^*#Ty{AcRvz;2u(t$C$&
z-|_H$jkve%ZXQ*HF)k&B)sctmqc(T$JZtyWql{SZ(@fqpGK_Pox)pNOV`EG+-@&Bt
zHbumzs_ldTa@_dqLiSYKjlWIe<)h@hlD$?2=|6q?#K*!CcIC>I4Bm%W#>U2}si|Fm
z_Lunu1QMA<9cRQ(PEIJg_`t)D)<;Xn&QU@2N2zJnfcXAp32|}HlY>>hQd4?15<Ts&
zOZmxM4|4oYk80)v1Ch7+`E6!AbL*wep{1qV=olEh0q4FVqM~TX+DK6t_6=X+^&cOC
zK3lYg5>WFznG!*yeSO6%Dl3ORKDBXO8APMG?b;Ga&XJwi1|IuDL+UTt;~&L$igZ5^
z6B7qQpdjyhdYDoP;f!8NYSuh`^zpa1%E!N(FQSEKJTbETPuOyDbIYCPW#FiZ8T}I<
z3YwdxZkaZ{$ns}D@B0i+L2cr*S#2@eR4S}!Q1kRrcSWBV#FrAGqV!LnwkZwkoap_J
z=dmaADrA-ntP9jL=YIYS$_hBY3U1W-_xEh9*j63J(9qCWjRUoej0|G*G3pi%PubUo
zrluy5r@vk}9IyRd-CODzYw+Sv)JmFAHklm%OEI>mq^x`g4pc^FCK_`3ds}g`#^DMj
zWf;WAj*bpGIywZITVA$Fcbuwo#vvg1j6o!h2n!2O3J(Z9{&6{)T3ErtBFCZNuCj7#
zo=S?-uimQ=w6MW3;dW=I;4%#Er1iNBF{-B8=kV~PEhs-%h~w@&wSc4~E!+*2^;<DN
zS~dHv`_fw5+cDCG9Asvj{GvF0&d>h9#lUsM?0O*Vl*kD8)9|KI@}}naq>-bW->l>G
zCqa{dzi#4(!}nLlD_O1yKk+s0xr~c@2SN}b&Fx^Z?FQ1{Q%{L%9413E#XKy!;%_2>
z%xY<7@S*a*IHqQ9Iy*bJ_GgOij@x9Rq9T=u6J46XBbWAdqfu@BPB(MxAI~tb%l!X(
zzo3=4hKq~4v$yvgwhS?A4<!hXjji2m0JEW@vvu#QXAtNo+;`vs1_=oo@CtNgCT3;^
zCZ<b8dZh~X_MG5Vp>QQ<Kl+}JgNs}4Guk_Hy&4zk@9(csmqf-IeT18i7x3%bk(X&{
zk&BC#;3f~h=c`c(+L5IRJH|k0`nT8A*Ne^gpE~#+&xb+Ckif&kdzqCLyVR5NaP?ar
zDj_OAY?`?~TA$fd+4ndIJjc`lk_20@SJTN_(YlGXk`j*O$qJ+E_6*IfTentbo28OD
z4W2)E^6~T0{Nt6uH^)mUraPOpv*>j$VZ&ddsd>E*R!E*+jaES2R;Zi`ZUG**wPCH=
zB-Wty)dbto5*k?<nU$YEWrJE<zz}>=Qdtn~F5}@@z!Fy1*L&dFbJ|<%vLDI``9S*U
zS8wX27DxrjA9;+t*Kzgmuz_t~+1Ths1ygSBSc<5SMxWpLQBnAil&MQeN!>DOc(rIc
zYK33=J$~^O@5AF>{s9sD1f~LwEOl_j5~Gjti%E|&Yp31QKV%k#;h!><oR7X$CMCSe
z7u<YtUcV`L^h1K4zIE$%Vlv!a{i*z6Po6x1!1t!8h$CI_@fXOO#(y<`(pd0*nrJ1K
z@`GjG*0^NTh`VU*2aD$Dkza*vmfRZ*Y{EfXfr%5Q?)qNHIUrQ+&0d@fEAt5pr@*)K
z{j-!3#c8uO^-<tj^uhjqZb1Rd4Zj1;2L(qXr}xd_8@zf&bz4-_`RAADymMoG<*Z<u
zB`y*@mAiM@cL|O<Zv>EuQo**v1mhP^x0?s%=H^HyIT}=c4!^rE|K)Mo7e>VxCpa86
z?%mxc=}ZpTBaxP<bPQWjR2daCu?erwMUb*|R}qx3bVl1R?-i?fX%{d!3y%LTdXl=j
zx;j;9Lj)H(J424K7Sl#u9D^n;>Z{d{DIGs9QTW4EoYW+)DW*LNZ&YlLUe;nN8QjD_
zCm|)>g(yEC!ScGr@Aq_p-evmt85^fL%<o>-r<W*7OG}p*FoYE1Th3AnM)>N~{kI%`
z<4F0sq;DPjQyfhPNCW8w1$DNmWNh@LHuO@+IY_XA=E=I;_Lzq>Dt>g-=iRN(ChNXn
zyyO<xY9^u+(N|jJfE_lKp#Hjlrq_9I5bvO0>-$U2bNNSZz0m>fDTPj?Y8hB_nt40<
z3Br=5Q^sBC4-zMHp7>ypk8s}e(wG^oj-Bz6>tmA7xt4auwf-Q}8Bh8lYldz|Gq<(H
z_{2ROQ7J<%yQJ9qFEa#r3`$2Bh}B@I`ov_eujxETN7h><?fd4;lK69K#DQqK#FS_a
znML!>MKao(pJ*ALP~ACnPVxKA_BjQ|6~h*dK>gmCm6p+{7+IpxC$drbNIAhn4Swpy
zC3;-x_BLm{GU+$c7?M9YJ%1*=={_f-iMnkrWNSMk_@ofcGt<ll(+YF$5`veVFS0i@
zwq=_1?FF&Ba$MmTW`#W~j9rG(##ZS!NU%bP{H0%9H{P;WGU{o|KE6%k{&6K<I1S68
zCTDL1hh1ke*`1&z;=8l4SZ^r%tVaXBGdUZ{$k-y6eW5{|T=uif6f#y!Otb3z`D!cK
z;qv#rEbnI`12MKf_G8W?uUT~NyDdo=o%yNev3(9>{_J*I(JdQkC{LST^o4@x9;_c5
z)5k+tG=V4nI85tUu(xC6r*MUrjy0K1P`2Te!}h+Hf(l=thxAfzNkf1NC$YBp_~3TO
zCw3xsI~tfrhEBUL@eeJNUzag48D@pC*mOu#wb?M`<=tMGVdP!C-t0(jmhFAh)xq}B
zX*6+OJcDK*7m?;WMAFqs2#r-At+=PREqJ_g>Ex+{AX~|#HzxUAd9~K9pk$_38B;q8
z%R1N8hYhuu?2sbzr+4bHF^kZJs+?P8AIm2Bx)d+LdL9tH4|tiKY5W||)9vWUOhw0r
zv^s$-;@Vuon>Eg7vCndBNE`MZeOt3^eNY*cbe(K1+*_B0G&{!Vqs<%JJi3?PSW9OL
zPMAom<KUs^c#eO)SiUEjx4jQ6MYAs#F;{sN;ju=gp&chbee`2M(6H&51^>N1q_z2$
z#1P)x;b42_o*Mz19c+nU$KIW_L@eL;WSmGb0<-*Fcyf)Fj+lT>3r~KthG8zSKIeq6
zWm9`Y%FA@r<I!CE+mrpbT6y)J*0+Yl3JQ(iDh<;qaLf$iV1|@V{AhnQ-rBwAAKu;5
z-GM>pj(+Sf!-R3z&&K{Ao2&j~8*$~MsydJT;(mdN&_-{bi;~@-C%8sFn^7hqqPJX_
zlME3dh?7v0g^cG-G`@oAG<La=_L7bD{2fG!D*Wq?+Qz$ws+z6#m@?(Lt=We}vy(pu
zN4~Rkx;?-Q5}NqX@`tgJFLFZVbzO<P!iP6e1uQ?1l>&jwCL}rT>zT?^bs-W*0v<I~
z&DnQ+&cMGF5BnL{DA-7<d$U3oR1gdS0@;+X!W#$uOu>a8VQn&clz8$}^_JliB_7Q5
z|D53Dw1$-a2`^t|i)=DH`i{f+m~}%tXAd2xT?U0K$Dw$$Y686a+p03*X^N3@Ts1=4
z29<ofJb|U;JI0<&+dsq-%C_74u^W?r^N)TP3nSJ`V9@OOK%n!ZS5-VGoPen*Nk&tG
z>(6P)7lq~LACjX8W=F-M{uzZ`45Ok9j-^<OS#}-9tdB;;5{`SqGKsu-2Lwr^Nm+6a
z2^#ltoCVoP+&U)iS@ku9@7~iV3UOpk^NgKI?MOnO-!R&dcxJ7@!sTh98td7}kLxV>
zvHo4m)#_07*RS<U$Y?L|_;%4%%Wtc?ja1xnR^y6%fF__#@o?vDP{64yEXqhFQjSKz
zjv(`zx5d?G0aRqPXPz%l)M0#I7N!L?GVq?07*fF-xryEQczA}6+ky{j>>t?*Tr+ic
zbMtG`D>V_-iBr)wb@}*?(2)9lF(p6ml@7aTeM*Y1(}RBPQGN1Gj6z4(ilYw;{Na*s
ze{LV~QC%iT)VjaFw`Wwuo><rfo1zH^sk(3A70w*K(wjn;d1vG0t48}<8B|Y~*%V9p
z)BC;{*SmitCv=>s>JsGR`}TKYG)@~b%Eumuk4tMjwr5TVlZV3JUdNY<Sai8>toVLM
z$ydpYAwsh!w9xS&Mtjs@vZimKt80}f5C`E$t4r|JV6(#Hp$UxAT5E=UO9Ne6TYLCk
zP;1%sK&%%07DXt7HNrwe4RdpHLa8r@#v+~=;g~P+=4_k&|5|U2mFE`aKjJ{9F41YQ
z9kv>KOdo0ioTUOa9#gyt;9FO9nla_v7_w;BZs*lm5})Imz0=aCezM@y$cT#sas>7>
zIo`i3k)P;IA#DRcOc7ZnNpqp}bo<Gg4@s?N`YJ9K@Ih(R(O-^`EvN{_6H)8GdO4I^
z=@u(1tL^*56YjuMq{UuHcu-(d47qqbn0<#dcj#C+{vlLEyvntL6eICuxM-}O^MZIV
z@l<e%aibRhdMlCyYOO6n3Lp^Fy2FLMJSzj+vHd+coJ7xVG2@xC6S$^`Awqfm`WX!Z
z`S!9vAUE;?66Qu~X$2>zopcPW%XL&_WL4-bcMu+`%k5}&FV6;`kQ#v;z5haVR*6Pe
zNBf}`QwRB7=T&L(J97_-P4B)L%&M&1H$d*KbrY#RN;^8$Nl^ZV8_3<2RhoLp6bO(Y
z8sgtzJuwi_?@Jnpb@!dAk+E?sBto>9J2=X^ZSTXc^%i;{n$fJEtrio^<LJT#Nrm@s
zz}6CYcfNmjep>tYLq<mNI@!+3+qx&%Jz@b03ZcKuT+9P3(zM=h3x3~1UfS|dRVdB4
z_f_3Odhfm?i>G}4{P_fX9u6XPe*BO>>a$kyeWPIq7iRj%PcEygZ1TQu$$o@7{-SDR
z9Fe<$ecg6*(Q=wFJ1+l~p+V1(fCFP-Kb(nXBE)@jVuY&YUf!@>-f%5)JFV{*wlX`w
zokY^3QZ|2S14oZGCp+V{p?-4UqUd3c&*k7KDolN=6uywS5a0UhZb*psF=uZ_82D%c
z=X!YoK{N$Ff=|BfFHm!u+HI%{MmLEcK-X`Eg7YVUXaO$;9;MYRl+<rc$hstJt@YgS
zKc+Wet4>^`M2N}A4#Kq9RoM=Qh@{S5nw9IvB%I|zX|S!WtE<W1#Z}fOsTCr>Acefn
zZoA;3eyh7m^X}7w9}hLCqei+e(>1qrdH+s)B{rb@*`?3=DP!I+7e&;~^VdFGq5+3h
zG-B=oH^<MQrf&u~#jx}>#nr2;TMG*=)Pa>KL{}$HXP8rqDfpq@>s-&2mV`*EX3KEH
zcOGxo>@;f|9msXa0`1vn_HFHd3!tJ@?xIVAlPcS-tHt@U^A7C3Bu%M5!3Z>cSOnP<
zIG;J$0J^=+Hq|lOu38nGdR#VR@IDuksiU*G{;bBsegK(2;qvcR^N@0ps`<)oa{}c2
z{!N)u(>3dyo1F0%1s)VIWMoi|bU8THHnT4E=V3oXFmcW`JpSDz9@6RvX36~j7;^8}
zx}T6=6F+wGr?<^JJeB&+<A5na_p}+&;6ip6{Ng%#mC(X*$Y9EO?D;R=dA#nfDx91l
z)a^6FB0ibvYwjtniMV|yGPurM1-qyg5hn^EYE#R|fpKM3J};VcCa~sWuP;Au)u3s<
zsR8j;8`EpSQ2P}RsSUa(Y0G_hi0GjIzGkv}>~5`HC@aG9G!s8m{P5|3Dws)A2V4bD
z(3w9=6VFl8e68ZnnqTAoR3T&m?)S7cvm-s;2Y4xs#rjpi{U)aq&p^*^q|bDLx!@qL
z`hZWavB2Z?`r-1`4nm|8Z*MI`RdkB&0cs9{s|m#9Pgdy!HP8m`nft$rxPRFHblPZN
zo%Fcj^=A<|Jb=u#%OcYM9Aph>e&xyq>qg>7EgtZYUad(TSkIKlp_daB80vTw@LIF?
z8{B3x;dZt;5wU;&SRUbf+gy>s(Ig0Q_?2tUY-gVSCuhc><VZ86uGw$wPj(8*urZ5U
z%$ioogql%_Z4d9gB7I^JJmZDT<=%3hCWy4oRq?N8H<Hn&)MAoLGUQX@V%}kWHg3+`
z^wuUBwQ@lu4)1t;oKfXg5UwV=*DLiEhTaY*B&v|dW}NQut`7Ib&yw<KrNc(8sfP!>
z*Llr-oSx{|5a%$zWT1EDcjj+TY_mX~rV#25=#02XZC#s;ZlOTxGbQ*H?>-}LlVl^2
z(KC<Bz*%^xt@%dZx3kHF$2R>Ad1m?&uU1o^4o>G=4Ve|YRl4fScnOF&srABxq$X*W
z$3zgJ_KX#ko)PD`x-e_X%E`-1d`LX0pAlv6p;vh@>-pi2T2Qo4fD^Cnk8UH15BIup
zi+inB*hEA;6KAf<ZJG~@1+r4-4bK8Tb>raRU|8&K9*zRx$vhKTgW^hNUVe8^kF0h6
z*>FgqK4hZA0LHnl4J&U`<)oodlG5h$_a2uudz7;NFLcMhi4Zw1*M$z;-VD+E+f<)K
z0?x%ve0Sw9U*)?5_u(r(D?Abs68rDmCJo^bLFnOT(@M@tP7X!A;NI?TpJLH?Ehi^;
z35DZN*Lyq!U?r)-h@L%)EW&VQW4uzo+#+O#_lZ6LN@haoJ!dEFVMMtqDYwSTA7Z0W
z3&8#tMok0c;eDr_xjTroySoqtr@on3xL#F5gLuc6FEZZ+5NQC5Ei5dY)<4uTaB&eR
z#?pRBT*9MY6R8|;I2wE-%NYfb^2zb>OD34;*B38dkeH?<Co8CZ?;id&^6mTgN7aT=
z(Y1yj!~v+9{=-Ru|NZ;-o+<17Uwx1GQoA$OA&xEpYZ6)gbkx|RJmBJ-sq5`qCUn;1
z_L&-|D)qb%+{!1Xr%w;pMhHzGI{L(0s;d(|b#b}gZ@L13P$0dp`e<Dtn3yoJR>>2P
zP)^PlFf>;yl2PG>nXWE{@;6Jqq1oB2nVA{;i7GY}un_ON(~5nSmiEcxg6!<TzI5Sb
zU^kTF0rB1d%4T|MYOGL`5kQ-$8jN+0(uOtwnqVCXTn}m%0aa2);n@XYVc4?)7k=Je
zUPER)Wg1zM4W7F>?LrqvwauDr@_KrDfd6GM{Q*{Df2)4GW~tu$7;JT^rLL~dVv>=U
zHx7Ui27?Bru}O-UA6-LL$H$&R_G2#r!fpVItSm0d5fKqJ?e~irm0MtLe_W=0Kn+NT
zsAy_QNr_R7{Z$k$4>M0$-M%FcQM$N69vx|KZ%<85{({<$lM_A$hUZM<)sOW`Od2QL
zrT2Dr%mAz!EjDNe;D;Y@9Hy&RuPTEB|5{w+;oykkGOU_Y;cn~z|KO#kf3`VUyPP8*
z<#~4O3~S_NWDJ6v&liA%@ghC$c)iF=|3^T-;y5+9%W|Q?Yya+blm9^Jx#}fGDR6xz
zbE@3f9sKa|D*$L~K3U_4UyQ%0GFEA$5${^J6>`<*_m)~h7n2Q%O!zlrjW`qv7wvO2
zZZn>%NM!gymsY|%F)e?bko|u{!k>8o7@NUkj;`#o)SYy2bY$)AeY>)<GBq=^&!E!U
z8B(${08m#K7TN&p--CQ=SRfjpTzSGYI6PHWSN{_Uk6)^vs<InlM`6wYaS@t&xB<G&
zb^XJAgCDh34D+_r`247(Q+3@$DKfb5@;7H=m1_HO5-?OP0rsU!bb^B9SV3r}0e=O3
z{rs)~Cj&WIdsi1Oa<9}xLi~6xNFNLW?ho4>2uKkcvhed~TxMo8xKyre7$LxO7`ny!
zXnAB$n*Lb(o~#z=1N~xHZ5IL%H+b$lrPqL@j-PM;`V|U<OqfG*%73EFC-26pX8lhI
zN*j-^ea-3AP@HTVx}9X@r*c2pZ5zb^2nP|9t2bfRBtw+?|9}V|tdA14Bn9~bz7_ZC
zm95yzyti-XzU8R^_Iw#|`Jka(MMhXYP(W=DV<kdcgRmzj1gXwX#I-!j+=s2b+yG^#
zrKKIKdPEA0+XKr9U@PN*_$xjZnE>}^LqWiYTx#+q^~6ca{Y-XjQJ*d9SuR?hVW4nO
zg;?5XAelV9yjo{xZy*pWusS+BCkdziH;|Ta3vfI+*ni;DFyoa}RpkH=)h#uN2Ez3+
zwa{hCTSn4=T3#U`v8cx!zM|-W9#~oVG;UV$Ul?r^N!axC^e!CPpY23a9VdtDn)mJn
zf~`4Co36vL_+0hqdnDKF5GpE-);BE~c+dy4rtBRlS3Mq$p{J(@Uh7S(*&IaI)U2$5
z=g-lxFfq#^Rv#Q5F1ZD|+x%M#05GSB*PbPcLjx{|sVkM=h6IVF5z~D;ty82sG(DXO
z4Bwl|N`8nl0}zJ|IVp~|rqcn@-I!?<`+Ig)=efJUFuH<YI-c<VfSEFh0*^A|KIu^7
zUPALjAo}UA-Zwx`85<d`tgUsU{AjD6A?ipO%n$Il`{+B)^#_Jo!MSd=9_ddW!QBcG
zMO=Qt4(2BgL`C^-z}c>1T+lrimx@jIAHQb<vLM~OS)=C}_U+yMg2)%60?~>w*XNu3
zPP_kZgft2%PZ0iEiUY0?c4Vg`g4C+p!tsHKVF9(lY>}wp?>$J8<Y?R*<#WU#uzq|z
zdTYj|hwJQDx+A-rLC%759C6Z}6Q*D_3k!zV-fL{)yB(x;+fAnjF^s{5Sdg}ulL9jX
zm}}!h$T+WvCIBvJo<fET*(QK$|GYR*9;SQu?%i0EU;Pa4djfRU3rbHMdVss+2;L-m
z>wT}P_FgVjch|?j`ptVz@`!G!MgyJ>NR>zr<sl_)Z?bW0ti;hw2PC&JPW>;9A5!%!
zbO@5F9H9gTdOIfh7k~DfAKIj|rKp7zGC_(I&F{sXsVsg8p=*eLI%K-6B!hyg<f7a6
zsV=pUB4*NPBUzZTIGXd2OI{1>kiExR$A{RcnGY8Vx_%c;Ca#7;Q8QQdJo!-2>=Lrv
z<{atdFh(rv_Tr}8hnw;;!>nmnpwKgsP)EBK;e1=3Bu5uD4>I(hi0$YLesr9xj@FER
zTDY1%uztZWKWB&Vu`b^WypNke5Nb4Ky7VTva0&Ivxh+?7vy=4c5KOATup*Io;_BD%
zxes3wMk4caA^!6ZR_}+z1s5Ko#+onuw#Ut;Ol<el{a%do;k~NNFeYkA+2H}wNqc>B
zc<OkbZzCCSHCdG4GckBC$q6})NXg{N^y{>zkj+yzMSO7UV~0d2z?|77C&I-`Is7gv
zzT?nu!1f0dx7~sy@BfD{@}La<n3I!pn=OxUH8YpbC>#449rms69FN5Aox4yhZgks<
zu(PvkvmIJlRdLw~#b49`^*?GP(O;-XrCEJ;b~d-RhRPGM;DFaIE-&kyxZHN%&|mE#
z7VLx+(s02OuqHVOw)0zCC8%-04gYwruMVW_dkfy2&@w$HIHDk>0k9wJI|dH&-(I+Q
zB(N^P$<wd0y@Dc@8gsQ%FV2>wKy|_DoHk_J0e7^0dl(^28(hOERuo91X(4}*#?&n(
zKiC<27)zdd0g4-d>RY7FcVoM8O)=LNB+(Gm9rNwmH~aS2uU}Ka?fJ=dHRs{`ijSVV
z3?}}6tQvN|P=hL@{!PuIstnn`q%<<yRKmsoMM?uQ1^5MrQw&nq$J8~3Q8Uq>%v#YK
ze$V(E4+Naww>$$ONf_Jx{JG_<fLnaPWjA*M^X_PG<*G~h8y7iVOwd53tW?no@GC>y
zi{$U=?@plYIe4u;|4VN3G9|^M-JvTrxQv6JpOk3`?hT9YC;<=TKeF%kB&xFF;?N-f
zp}H(Dm1Ub2nwUr?;5gIJ@uygqqoSf>uuwCXui9(A4KwlZS=Cj3>#=hwzZ2Ju$y%cA
z<_rJw(WS*jv%WOJ<I(2xkPv)I1~D;ef@=b0YTIMwjI_WGZA{lwDm>iueLRxnmovCC
z-_Gl{raif{@HvVXzE5wuFcDa=W*3qXB+&bC?HLoWF+;%KlSqADUS4Jt7OwqzhFtI0
zo2aRqaWJJo;UeYwoS+&Ci;X2}XlOvmj4W+zFc47q484)XK0ZBd@9e||{#pPr8!ps*
zCGbcqPROvz_SwbX?EoaOu1;ji|8&!Kyy9j<V<YhJXz@s(=+j@>0Bh|0{;h~2ylH3%
z=DMv2!78W}*%tC;7&-*P2TN<~+xGi0Vp}bcM)CL_JNfQ)u^@r)A_p?|8sAaEl+SQs
zqSQAi1q<9&HEtXSYel6DH*aF@FAs3*)eAn`Ak{lq8^KTEHvIy3o)gFthKuxwdQ!Mi
zpN-NR*-zD70kH?p<;!xQ@&P7NTmOUZ+1dWUKR#I+@E8BXgIWbR7(iUwg60beoc?p&
z0bg;_B%CiQGIGsQC>@pfRfNaHFe9O1Vf<WN(E$6v1#AUnl5)l4(GsIZZ$Uw|hak}a
zQ2`Y-b&ufVA7zk^^$rZMC@Ux^pb~viQPJM+ZVO0fj=!mJ??R%Zs-$FgdbIh`c8Gyi
z%0I)z#H9D@S2KTq$ywihwWGC>C?+pRl+n#>ZCN4tyh=(cd*j9pe@I^mCz-l_^`(RO
zWc){uC7<(5gO__4K8OmUA$hs^B>nvF>3&{{34=09%>h1KtHysV8fqG&dUq~JM!fbG
zmE#wWcYi{)Vv_G*x&jicZjkX*ayVz<z~5H=_w|0`0*{KSR>YkbE@@<lw1SOXzP_a2
z_?CyS%*VzSfsECAIHsvGzZP+R4s7NbBsj|PU0q%FppK%1a&Iyes9$pvlh+Ot8KO^L
zB_>*WNTM>x8t&fY*RM@}HCKXS<{zctrbkZNrx}JTH*Ppm{{|^j1r&o-P}zAOunMaE
z1ZS`nN*@Py7Nr&eBSHaP)riZYmezqw%KVZ^uf#~%(a|x#pnxBQKp<B^X?(B=u5~~m
zl?fh`A?9%l3Mn<U@2}F+RrX3TWaiOQm=s@7wNjdRwwk9~?qbLojB}7c#v(v<8I{&6
zn~2U`y^O_t^Jd&xk<!aWIO3k5I*Bhfmd`2KB=z_AM=`-btAi;~!X(H~_=JR#7ft0Y
zK##`M<+cB7Xmqqzi5em+3hcF?<Pj7c5pn>gw*g8on*L?m2O<+k<OWQDl(FVp^(2F$
ztkFRPloOC#0Qh<gGQaut^{AE>>E0}<8|v!nNQqIDADo@?C)2m}IVtSN%Fw`HL88{#
z$p{ew^a=_PbfFZ)28kj1UA8Hxsg4i6Ym{5}U4!xi4-E|s(&YPb;(7s{FCk^y+ux_D
zF}RAV4C0SZXD?#%)zU3`U-1qK5P(3$t9<m9Q5~_=*^X>^kEWo3@iYr6*h5%AeHbLX
zEip7=gVm2m8A?~DKJp`T5F+7paq{(zj#Aq6XP_Yh_G83QQ<bYd1{ndw_3Qs$^E>yW
zk_hVf_;^5R(M80>Fp#6|*;pur8E)Mogy<0-5phRa8i4fKTMumiR{_a?lncVH|0)-J
z+VlVK<wE19{kQ;=N~jjBP{Dl%LI-M@HO`Rt-I6@r;1}QT<(D^^{N(ny;rwLXbM0Nh
zAQX=RPp0a$_;hZLv)o0=0yd^TR(`E(+q{H8A^o+htK9AG_DmzS@U&|}J4A{o;Mql{
zj>zQ!sN<!G`uyXM_go8Fv1v0cO4K4FgAQSJZhM;u87ni#fbz`2@mqE_9V$riTlcm=
zV(;L%_&<dp71OOyOFReF9HWpB1xQEQ;Tjl(%?l0=mi}I)#edt56anpxLuP7AlJFv>
zsjs=mSR8l&13f)j0*l5MHQ{N?Q(@-?xwE|<ZV{(B>2j}p)zs&3(fuqcZDRk<_g)Ov
zCG5I#4>jNz&MlhJ$8<X|E0u(|Kp=+)D-`WG$j+o=^L)BvQ)~8}pntY6v1T)bHR1oY
zeq(dutT&Y(HxP~n$G0tzo2_hZ^$R&n433Yd{_KpkF)^X#qQFNL>Xej}?%Ok&aK4Nh
zJbAmCOQa}Gf^K$!7Gx*Y=C$(}v$A@YWG2KKqmM3mo7c7-YNvG<)3!(2L+-96yb^I{
zfFoeIaP;ZVuXIt6O)~hAgb-dAk<J~`=Qv@4EMtCoxf81A$?01+jeloBScq0&gt}*C
zb+t?JhF>C-=PzPn^5I;EUB3DcI@8w|O(bzZ3|Kj8o8dz6hi(7n%+;OWAippn+zO!y
z)V@Dsr6M<cA@TtR!1M=_3Vsohx{f2fZ3R)dYT|a&@^`<+F;3MwW_`%4s2F8dhEP?R
zot<s8se?W8LCHw%DB@dQLBZ33*Al8KDwWYuF)`M#?aJ{H5fKd_089PFs4`0tQ{(3~
z#zFFpg?_^hL@*IQ{rvo*F4qE70Dy~#%OVbldnHie<!1l#)|Sa)5hos79t4E2^={iz
zHRPtG<;^EAHc0ax4;NkmeU7<@H$X+*f~JoqbKW|b#zE$%9p2F)hmuEmE<~_6&HDXb
zrBT$zsL(k33<!|<d|^MNUfSUR8-U7dg+^AJ5#G89F$+k;A+axRas2<aQu<fflqE;w
zJl__=?z5*oMWyzg{k)$1?#uXiE%K-<f*E8Hw^6yIx8k5Np^<qod4JgoO`d?xUenp(
zsA-V}ug)67^w7Pous4y~qO+mQ088&a_GYEr(8DW=#>1Dq_I5GXm5T?(Zwhq;F}>Do
z*}EAuBGbq}!VCpPCdm_vOV31+JzU@7;#c*qh3tQ@OXRDC><FgCC3w(Up5C*?n6vjI
zXxa`dq`v4=H)n);h%KSE?2WZN$ulg3lP(dxsf@&tlSs3A`$UE7;H$2;*aIGUwC^~c
zBs{Fr&t6ryhM(Nq_N|VFT4z~Rz&QrZ^L2pnDK}!qWX5Ovs**`=^9O$xtHGE;O%N$9
z%T6$wlhsfYwP@5orClbewZ%hrCbpcF(moEdKqssnelio&+r+bX*#68|WrjFfBY~-x
z6gV&|JUg3o*u+0tzC0<V{bMJ_Mv|kRR+s9?8WQkkQ7nR!?!`S3)w#`L)nXJ!tCLw?
zl3thUm%Rf(0UIWMDcMdA8O}mRhP*cIKTnoLs1aZ>p%*UCSzRMf{6<`Q+0(p>?$AnS
zsi^0RqooZCOEKbvjo@FOCQ-HR4rE#6%-Q=&I+~+yNSmXD%h{21j^lGV5+O6hQ2LN&
z+4dP*5sfLKtnJP-I%(F7r<E24BY8zWQ0U$6G3ziw+)uBQy}8qx6CS66^{$Zpg>C`Y
zRtX*-Kd%;>y=K|PVlIP{S&WhOdn442RWH)I#o*nzljJ1yMw%-78C5w@`EO+#ZaX*>
zb`SJ+D4|Ow>9Y<eRpNLM^tgrV6+ngPmKNt(8T=F%Jy5~^aV2$nk$5740QWAc-oegJ
zJW7E_aA`LZ77x&Wj`{;}{meI^d8`}h_p-Iho_p$`-6`;1_&Hw5woOVCtmsmqGcQYm
zPwq76{^j?wft+<RJcv2|M?SM4TsY}uUtNme+A~d{byD8(khI7~NR+$Or0!Y0(qRSq
zNO^&gz1KiUU(KUtj+VGH`(C!^5~l@Bd{oTFm=1i)OC{|6C4ytJU>&qKD%kHz5wmf+
z>Z>g{m@h<<q6XgH(~bt>NXGn)R=B>9QX@KY(WsaA_}W%zs8qI-0*c|%v0KocA*)Hv
zy_<0)fgP&2=Ta8|6l|dpsEw$tb11AAhU4>NXTSb3k83D>|8&G^k0+DZipQKZ=rWcs
zc1WN43{`zyy~}}bNF5<apmGB#$#>rRPJ0~E1JuihCtS|`OpQtPOTMQPo;)VKjwjR1
z%^jwQ9gzI60J|Iz2jGgR>Qt}fU31bvnnOWxx>~atIuz?Dfy8oHoW;}I<;}#&X+rVH
zT2Qt<PJK=24*kU1b8Jam-H+Zj?;}9skr2irsoSD2|H6Pz?gJ<ySk<9}W7J%W$>&jr
zH6mqb%nM4EKQ9brSu`{_v5D_8xQ-JaM$e?mbuCip)0eb&1`XfJa}o}emZfdFRvr2z
zub&A)a(@hd{!VI&?kUYS#e$jRodAL8Ny{bD`fGvPcRH-C=g+I(uq$q>j*NrqfgsQa
zXR6k|j1L4RBFwOGYO<OLV>4ih!i<f158BO=K6vD>+3wXAI|^E0kfAGIHV~5g`__Y5
z^ETiL+JVZm`-E!k6o{gc@fC)UoWd~1)h!ucf^3e!R&WdnZyORT2qfWnBuyc;Ly@dV
zXKL6>t9G5_nbh||T@S_vEj}|N!qnktz&r+_2D8wN%4om5i7|YICBzKz@5W5;e3DZz
zlX@UD)2pD%!9ebmptZt{nez)3UfIVMmE6lnCZ#jn%Pr;twsls$ZN9Z<H8VD022uu|
z!vuinBw1pC3Ebsz=Kq@{Ll(%7VBMlAzO|D1jy=RNkEnP|rY%8Xs&Rvsywro)*$*;M
z;v}<iVz*v1`7$lrl0dFl`@CA1ZMP-qgTd#lBqeucZ?F*yre`SQXhwW-%r8xNepTB0
z*%b`ksoehc%y)bt4whmf=G4#7sRjearQHm-RTsW|O${baT1lW^V=7+3&W@|Ze83XW
z!wgQqIUi?F#PSNwQnTGyi_Q)kWz&j0S)Jzzq$kgIs%}5*JdU<6@yL%95{;)pHZD26
zX$kj94lC4d<d29%`6+vuXW(5|J_f45s8-xxUCcFuV)x}!%OYq#$dL(V^o}@rI5fZ2
z9fin{6Uj-NO(Ga#hDr4y&<jwfcOLoFf~_4TSQ!4uj@Ul0rA~PFuvh|$atkh$>A`+?
zUzg(qy^NheGuF39*W2ck32C#92SyoY3%#D+<s_Eg$1ES~m2qf-!HisESS|98>U;ov
z`X+YY>+H|{lG!dI?h${er-KQT!8B})Cm3II(Zo8zWHYJVc5Td9SH><agq`UAY0aBJ
z`TcDJm)P6O#e=47mZEI-M6s4Wjr>X07EECxqUQX8(GF|oZ_mDXY{G8h(D(@`<>`M|
zA(~@|*d(ppV{YUh=Vy!m&2E7qQ0(|K(iwzjpaaU;L*bM*J+j*GqcHzUzh%YmO%NUe
zYI-!y)}l}Wlt_=(vv$MD!avF0E(s}Q{*pfa^<~&L`QY`I>5-)e_uEx{aas!Q={LC2
zy$;ku+2%H^M^128xvYE8h?ltK5hBK7Z=u-8uO{G35;%Y~)Vsb+W5CSWLInrGJs9TX
z(niOcAwWee*wvx#ZIx=f@DT49r)4THXr$76iTDHs(F#_227X$xY%xQ2b?MkS<7@TY
zLd%rSRnRVUS~g(dQ=LX%O+OUdIWpWH=juV<#5kx~x$s&e^u6hOi;w?^D+$mwxT%YO
z>3!ytKfDR>pZ5JM0<Dxi@-3Yfa~2kR{Mp{XZWC(|0ATH4k>>;X8<?RSetWKqCF`KK
zuaBnKBWC^AOoz_8@V=<NU{veD)Ou1)#*s($$fuaU!X*AC7Gw4HK6zXPdo<8?6HByC
zlT*X9Mk5{Got&ONslaxaHzQgyxwP*T`2xwvc-Czcn;>Q`;(^1?^4FR5&=d7wBf4~?
z93~iM?FCdzZGC-ez~_?CNcxI!3+pxAea`?W@PAXj{+q%5ukSp0M!s+jg*pSjO6xg?
zhQi#S7++`$!M~}_Pj%T7>OzNhU?3G-T?L>|VW`AdZ1NbYvo^qOJf_|B;{H6eu*go7
z`MovmP`W-{FKk$2Z(vsfNH?Hd&|$XZt*fGq0N%ZD4Z0_Qwx|VqcMO<bXXu#WYfNSm
zPz%a`B;vk7W%2N#Lwj02xz{FCY{cZ`Autb$t2f{u15y{)|3UM2o6k=;Vy=s7ExN&+
zt-9R+!GJ0?WwkoT1r-(u7k~YFZW%!|Z~Vy>7kWR!w3bfY(*dn%@9X<8=F1e9l!U3F
zF+j5XU4Q^UEL1~a>O_O<DhX$D#oxfGKr{^d3sa!5)H82~06|3QV+^ebKx9OrVPK)a
zl&?KKK}AJH4&H#XltCLy!%iDM4^_zpzb)V@Mn*;@KK`1{U}jD9q7i7%&^3d!yG)<6
z?q`e`k9pgrx=)`L08~4M$_Q9Af}qwwD8gS{6U2jWCj)A#-JNzK==i!904NNvbuX3c
z<^(z9>H1B+qFVRw&u?tJ@c(;a4u#&myYuziP3_Q86%LEbHEHw)<ctJG!a-xnLiMOg
zJE{Z2vFQ&MKpH#y`|SxDk`VydjXUhao3cPLOG5emf<}y@(fhCsxRF?(*&hNehTOBS
z<AnAf;2<$B-;lfxNK|-KR68ikJthyJgY4)2fD{VV<aL^BadG?&REZgIm~~*miR#B;
z&}Nto_{7o^MeXY!r<mk$ZyA5Olt(t>z0QRyg;Det^g|$XP${+n?y=J^wmtWm(o_yy
z3k4)L`gowAO5GxI#OYu~6Hw;dr_23d^LA*62`n+LUzqlol?PPpXk$DG7-Lwg1&H}P
zSMySKfUsVG-(LXGb1-mu`qUXbqXB9)Pv{Ve13&;~Dq_#iz<>^%-tn^3MFiLk4M9<r
zla3eb1#BfWx1vBR_XfJJc&<gGHZ0OOxyZCx62;^}Jx>VToZNboP{tj@ksWFd2tbuX
zs8%^(4tqvI3q2vwmpudw%gMtdEGz5ACy(tIFlrD}TYLM^hX=wad;@Srh1@If5%PdS
z0Aw3OD}guHU9bg9Ya1WG3hgdopDpfOod3N;vbD7Z-IdrN1H+F0Ixx@)j4O(Gg-U*5
zwIJ(Oyw&2@I43tZdFXzCewZ-moV;yc$&?9=k1htQ6Z7AUpm`FCVp%gYIwTt)FVq3!
z<Kv5LC;>q6AKtdq#Q0auGY<J`@F^;BPoAl%DHJ+U^<?^!kwbVSOG<h$>m7hJ2LYp)
zbb@xIa*u5j*1WQS3x7c2XzsGX$O-q&X_)x*CpTFmqw7!VH-%6en82)tjzE7XJvTQI
zuy|}08K~ALpth-`{KadYOryH8a^<5asD$kG<HWp6whElw-9tZHIFDIdv5G(T1l0y&
zv?@y<A>ngGR$nCmCjr&92puw3PcER^1&8L~D**^t_?6)lE8OylbbywF+n}(lK)~$Z
z05}TH)*(FW8w6nd%n{q~5K5D>K1yJ?q5F2SpAI@K(GYM2*sM-!#|HCtqyFx089)o5
zxg#8KiK`Oc2hwm%+_$D8fZ!zmNapGmCeWodS$r8Rj&fe7<xG!>FAn1sn9vq-OP2{?
z7^jQBzkfpSqZ~vEpg~ORPC@t};&Wsl=M1N~#)0*K9%a;L`HxUdQ3xFy8!n8Ljir@v
zIzRIoE;XI~k^0GTRuW7%PB>LN<IMp`OgZ%TUBbeeAe;duT?aJQl-mr@zU%<lW(Uv!
zMrLL#z!vqP8w+*TK!1V4%WICVI}bA>&`&nMR@xT>x&$?jM`Lk-S<-+TD?-=C5NcDK
zp^t}ARP-t^rk{VUj+WlICTJH7fG%aa`|g4~oGyw#9?(Si6A%^%0vO6D6c)_Nd0$e~
z3(ECy640*vgo|UW!U`YQ2b4u}01Ul%m!6#+Z$RSrb%=;g-_?ZQIL<a5LkPi!K1Wp7
zj>n7_3lIRi$3Fx9KG6Vg+4;&Ci;5#C2#b%OA0<S9fD6LX7E3;J=+Choc~6e&O#@2h
z2J|Qq{)1AXx_iMK?H1*9JUqnE+S~!aGz4uTgjHzcD^Lo-5XGU3EBEU$+$SjayD6!c
zlh_74`HN9g?(>J<fZ($WJ%OIvI%roe_uRGc^!A2x`0=Yj)L__|@4Lc7=+GKgW^-Hd
z_IG7vWW)gf`b-!DCJakYPv1-pfu>Ou7I~NLRi8CDeyRR4KLVZH^KiTE92^9vq@*~A
zD+5GK2w?+Sp4>jZZY&#RMkcwch4*@8bb7$$tgV@W?$F$t3OHXGOozVc*T$l&YqW4*
zwmpLe*(8yf$;tY$b=2zNj5B~?;YhMOH?@f+mgFUV+FC~2sK(9iz}|i@Mnn{AA#bo!
z@XNP>I47;%X&xOVB$%5syL9Q&3XNho9z80Rc?r?`A#}ZacM|8w0Mqo}vjh#9VU$Y<
zuIb*>^oN<p+_-gxC@qB${-*$L)c*^x1eMLOHxoCyz6ZETV{SNmcH-?~4=mtEQJmht
d|In1YAi6&$ze<?I-vo~$%JS-RB{F8u{|6B;#E<|0

literal 0
HcmV?d00001

diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map
new file mode 100644
index 0000000..d6dbfac
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map
@@ -0,0 +1,11 @@
+<map id="bayesnet::TANLd" name="bayesnet::TANLd">
+<area shape="rect" id="Node000001" title=" " alt="" coords="100,226,222,252"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="35,153,143,178"/>
+<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
+<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
+<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
+<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
+</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5
new file mode 100644
index 0000000..f98e719
--- /dev/null
+++ b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5
@@ -0,0 +1 @@
+acb57f33de9f26c8371c599af6ced955
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.png
new file mode 100644
index 0000000000000000000000000000000000000000..6a30308f5f8b30c89f6d7ceb265e6298ebff5637
GIT binary patch
literal 12664
zcmd73bySsMwC=k=kWN9mK}xz?LJ*`wlx~o2q!CGJP&yO@kq${|ln@Y=E-C4d20`G=
zHTJk;?{mjKcbq@&IQI^Rx?HaKzW1H)oX_){lW0wKB|L0OYy<*<r~E)c8-YOKhu<ie
zH{qEJHufI)>!!s+B?ZJa^4FWz_bCVjJwjPQR`*%<&YZuIuGf{!-h^#qJQ{Y?GqUb3
z{wcw@@lQ`)ezaI+dEz*M)4bz7H8>`$Ga=-|HT0<6`SNFrwRS{BQ5~kW+1J$j&o~d`
zLld#t`f{F&RnF7(Fr#*d;C9FUSzBI||CS+;cPLHwt>tXc_S+yr4wE5_@IU^T{WUto
zNqp;;MDn(6j73;gnD%DrTlq+v$!7c?0iyFQp;j`5qe}H`ikJ@*1Bma%mTwUbDb>-J
z3R?9g-nlD}Ij}wVX=0ou%I1OX7HSyb(j(<WEQak|v<$+o-T(VTlkzmv$D7+zwU1l<
zgi^VUr^$~e(bY!wmST7wJz3k@ig|tmL%83XQ@_Hfv;FFr=iR$^ZyFoPPv?B-RtGa)
za2q!x5EaIsBHAx^Tprh0VIBDe7W|Q6WyOdg<LTL|Y{wT75y_SbrrjDZmv?pL75CZ<
zyMckf5Kd-dcXWxZm1RhqWZdkDl_l(CA8X)PqLe`UKvnglouS%DmHUc{QIk8m&#W89
zk)KpNt<+0cgryvxU)A<Gz40{il_srKF7wi1k&(;MthpTtGFMTwQhp2TKMD{bU0rfz
zMoq-l*4B?cye%ukWoKvqE{KO9Bqa_1{o86b@N}-PzrQp37He6JDZ|~=#6(^OKE9+>
z6&02I_I4TNgXubl!GVENw@=yG)b^P+Zl7Medw4t*q%18Lp^R&Jwr^2>T3TFe=ImVY
z#i`zDCe_W&?e>_iiHSO*r717>*%H>t&P>DfNga*9aj&LM&WoFP7SEnNi`$CCqf$&B
z?CYZsvG1Kv6yGdKVtx@C+Gss+yLM*u#Gko8Ihi>1)vNT@;KI+J749%It5zK^D+qev
zVey-qnyP0B$L;R!>Z-U6rt{rpW20B@`SOL2jV-FJt?lUWaCtC8KskB2C(cq=_tl4-
zg9CTurOnhkF)0_ldshW(JGyo3I95WsHk4)SM|gGlC)jrFTh7MH$``m?kL#;T=6(U&
zZ{J5oQc53{=QlKnc!|?s;F5PZOjKkz9qPBAlfKsW^zc}Yz@vJQ{4kAsrJF#;vE)zB
z%5<pXXt7qnK|ib7KpoAeCQDxZH3FG`_YjiL_RQ+$<^BA`EiEmT9}(0<jBCv}efaRf
zajJ#|2OC?|?mNA>nAi{a%7HYVwIa2wvp%MTQQx~685ziLIzQgpSYGa)`{bi9QIz>0
z5i3TJxevk1!SPZ|OiWcp#p2#Q#M*G4MlyuFNQ2{)g}ASjlvGA?a#wmf`T5z|cQf8Z
z=H=yO<UPXD-X<ZbGXCUkRAq(|^YUeSYHAO}uKV%kn54%lZfk36Mp~NEi_VS-6aTo&
z^J6AosXl~jR~XjayLYYJ-T5ysFaKU${K;}kDU)W5iHTXJa%s_8cDGKvuc+w0JKGen
zQJ5y`cVu^dad8MySadP!y}cUWX_Nz7P@w)^;P{D?Gk#6PsJXI?{#7+LHuh34U9f7h
z(I;;%I=}U|;t7Q{Jy(|(0^Ho{idIXhg43m`9&6viD=T@<PyZya<^>Q#m_ZoR1?-{R
zQB4oo-ge9u_ri8|b{2J8LQ{;R41f6&o0*vzfq;FFsJ86wnwz7M@YxOPH0yxSkR^sN
ziHeHqfX$XAzJLGzGdRUbDJd_+JXX`Ei$8j9XhV#?(a4itpQxl$&lWYWAIgj+=R>Wv
z87lFjKs*R#ex+>(`}V+MXSxnyb}~6c^P)+7;Op0g-Cg{`l0ZA<a!P|pmP;eDhvxzP
z$t>i27HG3`b6aEegd+B@=pE+Uq?)~V><#eo@fE$jg+0Y-ymx1#LqZT?VPR%pUXr@H
zyQ3l+KYg;CZFHNgccS9p;Ha|f#aGP~#6l!yX1;_&eY8Dw3xYxEba$@$>Bt?n!tdpV
zA}y!C{G+0yWh3!v2&t)KCnqO4jz2yf={c%3sf_G2<DIdQSId*8x&F5%Q*G5xjC}b6
z6_qYSm)7vXLDkw`=Uwu_F$xlru%#u7fXm~FF?%tuO_JL@Cb-FZ<02pNAD%aHryltZ
z=Sppj6%h(GtqkxW=s7uYR#sMA-P}+R)Y1XuITAiSoi8x>g0BLYSy`DxMadC_<m7hE
z^Y4^Xc+I=eVre99`?db^+>nD*x3IkY;^@e8L^<#E>+t-1Mx&NzL^p2Yc6^S$m6Vec
zH&&{@yzxFy(ax^;gK^GoT0ljBS(Za>weC$jdwULU(>9~6>MV(y9$xiNM{efk=0?TE
zed&09qjcLJ7LkpMtNixhY7oZiW*=m*+B~ie0*BKk!h1|{eaHp1_=1h-NMcf|3cT=E
z%@!qk`t<4E$%&$-CLzKMvg!jhHKFi<h0Yg?ySwpEYHb+!`G1n!>y9K)a(3p<FDQ^D
z-q_f{#KGxK<uXi6P7dAMb2V!9BMk})f+q!xZ<@t738Qp;`GWrU@86;w0&39^$OBd5
z)`-4u-xO_Z?(ho;5K&RZ>@W8gIL*|r&$qWvS&I1Ju5KRf?RESte7Juy<6?Pnvcty1
z16$VtnWoBlu9>oO&fbm&Z)ffNsEP2=NMipL6dvBYcVn-vu0}UJV`F3Ab()#^`ifx?
z(5lMF$lOFj<7H$F6|fmJ`{ccoo|Gh;oGoCBkFxi>KSggkE<U~}G7>|=Yg2)Yj7&XO
zG6U*F8KiT_fE$~eU!?=jd3kvg9mdN(@M9Sp7}(ph!iUw`4hzrRQT~=Kmg3i%n<e4`
zk8>o_PG>z5KIBlPak5^x{F`X@a)_rEOMb7BC+ws%Q~kcMaLf<aYwW{QN-{13g;o;{
zeSQ7rrlxAOEa4)3|NfGcOT6;#<e&<Nn)%u4QSayn##S|^kKeV)dKbjT;+nJtG)<pF
z4$u=b7Z4CoOVchhsCy|NiC<pb`c<En$EZ=$y0z%3WY9lR0vd7MKMo`I4k_<8p3kS-
zOPn+#Gtcj1hf27hF1UDuQ4G8f%a6{Rq<gjLh^_MPjM+5bA|{42Bwcf2=yY&!;QH^(
z?cddDd+))@0H6IRTj{QbXhf_3Y3T11<R%7;*6~(PW%Z1VjO_nA9A2KX&3jFFOKvt<
z(RZwdA@s$Ir0i_R(m5Ok>ZpL&g#TG<jEO6GZ%<YimC0i=P?i}aZg@81FgIA++Ro(D
zMtTfAyJRvj6o36{viY{s+mQ|K$>y63&YW6q*+O0-re*#Q85HFEsWV;^JyT)-_ifw@
zbFq)|ib6PFePn48uj47=I|b3vuI1*dxQE1D4E<4qFN+DW-ca9b`awZdU!jDl#3E~R
zU!_}z-U!jiwsiV`J;kE6AArDqE+XmsN1P?T)#-6EA^yYAK@~y9(2&lLp}gyC8a&}u
zH?jCRA2%k77xF5jR203&uFyQY><WJ+O_rb3|Kck)zZ@@SSTLT*-$JRV=R##<a<i!L
zhVLPm2NCaIx3lSEw>uq#hPk@B(>!6y+NUv&o$7lYs?U}6du^@TWeZJD=Q|by<vm5K
zxLAE&)MBB}_t1wQaq+ca!JRBBCkpYa$uoPhRqlAxn2!o72wSVkiHiH$PetXvd>@IE
zRDkgDm?2{0(zm<3!ep7(<y2rwBznT+KE_*8L3jg!-uTHr(Zz@;KWTD%K#7{@xjcfl
z_381yyzAiOqT_=M13AnKUanlektO!|PPQ=8ew~L5VRI?;x8x?Ju=xM~_fRKpYVudB
zf3VuYmmbHFUo-;V+qej+Z2q54#t%L6U-^0TB{G=KG~+LlXH(Vksf~!U7xq9J60)iF
zcEbD`bk+YyHtY7!SSwpw`H_$12<AS80=rTA($NAX0tZ1(>d)}mPR60Gy!=Xc!m9j<
zt>iF2vC95;4{b;2CHznBf&jK0Aa-2+`kFIc#D!Kdo;n&zz;cFduB?GU=Ee!grbQ6C
z_mq{R^-l7j(2|)vL$S7=sPvEszLH!W&PymaY*>QK{kYm9T<?T4OlVTD4-#7#WQVDm
zFvTBmVa#{#7_?kME&pDs&$B(#K(M&D_-rYfb#FOACLa_X=nXc+o2n{8Q0Ri_YL=Xw
zoboCv*n(;|5DNG2Gl+>%_{;~2xVyW%E`7!--PVt?;bCAfm$R^7<a+(;l|pcEaPsdu
zhl%vGH2r07&{U&>LrdPAE32zN?F1hgx(HJG?k{~Y_@l3-)j2zB6f@&EQ_r=$v~;(^
z;rkm|Tmpj1@o#TrUx+$R@+Mm;D&9oVEiI^T<MmPXqTx}#iH`0zkjiD#@S$8rx#r!w
zFcuaTn?I)PptP~Dux>d9wqa`(M4)AWz<IBhrRd}1!%-+|Ge{094Mf}05;+Np0;t~e
zzkl6eshRuTmV5X(IKGamL!t*sH2?)9iCITmdlJ@Z^VqN6e(dGp>X3lc*)=4wT1cBm
z2L~2VOPYeOgOYz|2-vP~Z1n4uKKd~;lO>)L4;6O-Zhf%+Z>j0!OBHs=%WmBfc+CBU
z57Q17Bk6?4e3lRXQ^j6A(9p1TbiCWYDf`IKG+pA3M?+yzQH}LLDk$*<ScLW8zZEnz
zG@w3bLycczN|3a$FQ~U19vpm^l|?mCX{td-N4NW{btZrQ6IzDdI3=+af}E7}3s{Uh
zEG&HV^dX09!>r0DyK`BF^^SZ}c9Q>xmFxk?#^R9;)w+q*Rr=C$o=x$h=J<w#1f)2S
zxjM5<{tdS1?{|5Eq<2%6m1Whz*H^JIF)2hDuDE!3HKU`tBh6_he$jy!Cxt)keuKFx
zeoDz>+BOJIrrvoj^T&@LciGwBrlqB^OBQM5ePh=tN@Nys`K1bbyt=wtQ&p819v+@8
z;lr&IOWry1USniz>@~#CvWCp1g4)Pq0|SGV=Yd!Me08`idtw(kD_bn;)oOw?xC#mi
zrt<IOq^6~1&F%Kk3rvu$#`h;Lmvi<F()e4)K?KyUPjV_JM)%kp4)9DjxFmq;&rE#*
z6)PtPFGoER#2X_$J%WLO0Zt-%c6K%b0XB<V#F-i?q(M|e>AI0}M-3J6uBa#<4x5z!
zi2_K_AFcjAj?*8pRM<VY#_|5Np3+)aSbTpgkAa4P!6YnPuOj6%{gLmoY+}otmwd4P
ziK(otEE_j>&xEP|^+Kf1dv$X-T=Y+@TbqzaCY9R7_^#MVu9W|H167!v?xVj)G3R|>
zzsf<l8yOiP5Rn9Qis0AW_7-FZ^JM7y`};BR@oyr~Zr;q?6?yuTSv8#(#j-a(+@!KM
zkwG3|M8F6E_wN1sELz7WPoA)GaCCi%A>%XaKp=JB)YKHx^5+JfKMjkB$ebSA2<kui
zdXI0yCeZ88FPi@%D`)FLGrmeqeT4JCBhY*|9hAbR<gaGI)oL7bE@8SPJzd@OiYMak
zzcK4w=Hp@88M(Ode*OA|iH(hlK&~9vy&_i%$!EM^2KXGt?<y!NW}@1i?Jf2V4c+(j
z6nwxaB}HRyZa!IKjiartO-M@{U#ef(H9SlJPZkXj4DwCfK{Pft(#y!qf4l@Bu?MGf
zym5PR@i`pTrJaWP9<Vf8CMNhVIz#ZNgw5ufy`DklE!mkjf`eKVLF*D2Z;Tl^k|<X5
ze@Zvn>WW1wBoh%4WlQ<jPYEl#Lk0u)J=@|dpp5j2Eo-^{synkSW&f=*H103)uv$Hb
zg)ASptoi+HE0amUXS>drQJXA->DG`z;EQcV3JQvrfWPi_#}E>w2lx612L+8)s_n-(
z@M*+9_MC8-`nI?(%Dq0$EZRTYUzYS-*KDm+D=k+`F6#J@0A83@%stF@IJd4ib^5$(
zmT&Is{;$5->WMUDYI0`j+hh_ENiz*RCjHaA#l1USH?VneEAC;as-SSzaFUP$IQrb+
zD__Zr?OJjn`&Z=yL~@hqL#B0(Q40%Z;DBbDaTyc@%+r`aM>Hn=7xbjJ+V|TZC!A32
zgVqaG_G8k1R;pSx|I>o;4^)D9r{cD`)m~gf(b}7wh7<H*Rhqig*QBJq!Bfrn4Af69
zW!hvPI|kt9w6wTlAr20IcyFOufAj)T#F(+&z{sP4i}IcF-d0}lZMnzK(K1MrqR`9`
zn)oz94qJX<uDS=KKUI2qzmE;v64Ts6L!gsv3Vk#oEh;;#dmuO4W2IojlAHT1R(w{g
zNwuS35{t>{NeW@S3Mj%?a_>+%oF7~3-g`HMP2BYygc4_Zb4u=4yeY)2b929DNhgoE
z>dJ(t41+><U(_J>D=J$3kcV|tn6|BQjd&`=U2l~WpWNV!MmRLz_vm_er&0+MgH?lz
zYU<VF^9>SiRM(P1pEz#poq3A4HJSDN4Ag0{eUusM=8`0Xm(gbEy!9I##9jNK2Zh7u
z*~e)u(XuiBRj`9b{L!y7peVTP;Vn$*M(cITnUhUewW{^{7n(KJ;+~blc$6TMA`u%x
z^YPz=kmnQgMV`yes6&{4$4MB%0@H5~r$60~t@fgk6XmB!`d=c#{~jFvfAK84A(<wq
zhkdjVdc%nylh|)D5VOyTsq`&KS;6~H&l$wA-nsMBzzOG5z0>;lx63X@i;kr#&P5{|
zMgf6=i)(APTiRjhHMO;FD_=>;9R9qAY`J%EP;=rOmebeQcMn`_-SN<!K14@%_YFwh
z)m{``s9(N(X>?zCId;0dvcj?!#@qkxTZLQe;QxBPOltkcw4)-#K_Nb>G>L;0HQoH`
zP8~qQ-@kvSr?$4V@Pf!W+8i5*(0j59CG~7({wjjyVd}lgiFs{9ZwW?+nfmhbhmF=!
zen<B#Eb{NqfTo}xmO7=*_1_hn4ZgmFn|txp7gCB|eU5aXIFJ-ZCZ^IdA2+w>DJi$w
z{;p<mY`s^_2;CTYKR?|$ISJQL1-Qg8&23=QLmko46G!ECw5}y8A<;cGMF9Y<x5~Vm
z*Rltf^U;(jHV#fTu-8|wU(dN4ddn~l3=d-{e*|DR?F1C~c|rogtCD#tawr1}D=X+Z
z753j8G9${$$_(U3?F94Ryg`&3)YTLZAyc>+?_=GOvM05wGQ-(ow_uODO7u!gob<J|
zLxIozTj2@rL{b<4JF{-RG(|H|LQVcH5(IaEXvMI#{d9divF<I#$`MB^MHzf`n5Q-X
zro0na)_xC_i*8eT<HwIA2qb+<263i@gviu*6u38$#p)CJ)a>QvW=zCME6cXG!XquM
z=f%ZrXBQXUGc!~glKW_In<$9={r&Y{trDT3p$mWhB#@Z~5FvPj{+)3!B|z2x=rDnQ
z{dYJRfdH)V8JKY-l$q{{2{O=W7`~Ur{4uw=<R&VNi2xlz(xqo-$LctKFKA+7a(3E&
zjRzd!?EKtfq2qZ`X@Y~pA)v$Fm4P%qAcT&yjYNnl$0>eXD&axh`JsW-$+kcVh|&Gc
z(#o!}u`y4_*Cv6-dRErf=D>80?I&pa#N3SAgDy3VjA8+;FTKwT3jOp+LfCOK1isqr
z&#%_AKf%{HpyvUmy#bMXc9?gKTks>wrS0!cpE)nGtAn)mH^_M3-|qy@q^0eCx#Lwg
zHw+bW%RlmHCCxNf%4e6F3q3?jOKY&d-&|Xp_y#JfC;+WwEBN>(VAS@RJpj!7{QUS?
zSi<@E_>T7X-*%b-h3@Sg85oEGc@I(;Nn9GuI#F+vlJaqJ#Q|<z*&Hi{V5RW$_ZQ&d
zNx1pqd1dPf<;C%qQZkaeqWrgrl^Ln<8yiJO_}~EU$BFzZ_G<cx!_(3M7HeXX2ZZ`^
zC_2uAWSt__MF?Ki1~CZ<0dN+E4bFuCcZTz1G?KF=efbOW^Y8BZCriS;wf{R9s2!JN
zh1QDi-vjHIO=T68X0GArj*ffZvP2S~7_Lm!+BVq^(;^v8tKTuBvW=A$A>!in&oEpG
z2(wfmKY0NMSjvF0Qjm8B)=w?)Y*1jhs;q3#b0+_O48SI>t;@mV@TRuPGA<F3iKWBc
zNV*_13yY;k4!J%J?-*oLGc)ZCf&dmzHn^Bl#wq5Cx`jfO2I``!s%izD5(*lcA*j%P
zzP=giuiy-Oe0{~v+&`2hGBPod*3{I5<k9Bl3{dz7h?o@jjy6U-y}VYyikyvT$Y_lS
zrlzJQ|66%ij*Fg5EntId>bpW(>y$jEVeoM5wiN(BKxUGG=YsuP1S&b|y#Sh$+tDbL
zBO)UYMcV)3DfeR6%<N=i;^Mw5E#;Jwlw4n2lyz}&!KW5Yggy#$Fjfsn{3Pc2XUlj1
z+H{{<f}Ww~w~G2eP+ME8*1%<0A4?#8_GaoLV++S4a6Vnura^;i=6^?a8|6{`zoEKC
z+UPVZC%Vme)15{rg`K9+lFyDSgOLYPK|$f(h+x28C&pNP;8uCV9>o14|IMev&J!LM
z8$S!#?%q{^m8~#oeF^vY*5}VJz50!*T2{ouzrTl=SXdw24WZ+}ZPJ2?K$38S24|<{
zayV7cP2%&H0eM{Uhbm?6+lh^}_1l&fYHsccnUKZ3#qRalCINg}$*8}FYfRwDJ3BiO
zArN*Wmv_`M!?14MF$10aee0N<-wHEii!}#w?9Y)AHCDYxk8Zzw`O<ZN={_zwFX9%f
zx&nZ6WL1IlPx<!k+ahn5?5dSv54P3mj}dWHB1>cXruP*T!k*4$xwJ)}&Ii*0`KzdL
z0<ycG5d81Pu*|h2t=~Gs+1c4+aIeg33UhD|ahDgT`cL$yG!UAanjsK*BMMg_vt8G6
zd@@_}n%YEz{xwdux!i@)1YIv)wa0W~?r5-~y+~l4ntBt00}b8y+OC#H!kb=5Xv~ul
zk5-Z#EL6IX!)>TcYOFJ`21!|2G3)DgBb);NE3N-su>2e4P#u<0JM~ge0<)Ow0z&%V
zUbjKo&{TV{%+H@cktJ%@cP*zV7|hcbxV;1>rFh*>!ve#SFXCw=mH>*>+tCf>WZ&}g
z->&Z6yF8s=PSKD?alO?0iG%{_qHc^KTa}Wqzmy2q%~AI4={g)H#aLeC-f8L2OJtva
zOY++I84g!?bb9(;{k^4?6*Jz=8v_FaV$jM06oK^VNLkNkd2^=D!8VgK^FP6I?Ef}c
zX81c0@L(kyp{%H&;Ciw>Wi!Lv4}e0ua>4@;Mv+*g|87(7=(nMP*Y=rAS>j$CbZ|eE
z7bTG0vV|NTy%wucQHrO23+GLKFljD+O~K5JUcc<ImP7lfAVD1z7IDaiz_6hf{p+T?
z>VRG#Foqx9-7jFltRQiGnArLYvLlt0l+@;rZ3WNZ@g>w;)|5+;t9*O$so@+6{lXWJ
z<$zo(yN{LVQHy)p#qH>|ef3=I3g_4oQd<Uu@4Nn;K}RCB1Wd)?(2%vSuW#$L1AeAq
z;@pF8(aivn4rW~1t<}}zpBh6o0jQyztg4~02K^1LX1XUnP<bxST_@>F696p*9gpd^
zY*l<}beP~S-5vNLv_@Y_AjTTxW|=6YkAGTXEe}q1`R`g@Z|$&jj8=i-R5SGt+&-~=
z9AGX-J2MmG)`C%UZT3@yaJU|*tJix`<WnShERn%K&j43D87sb+eT1|lmdXD~I2|5&
zSV1QYTy_mo>#2FM_^HjCvpJjAZMoSrArM3i$XS3u?<cib{Awd#VZ9wLe>KmbW0B;e
zOX^jZKde@0s`E)qN;2Ou7HpDhmaqJ}h*nVk(2acD_q3*wWn`&QnSJ)H;9Xyzcgbm^
z)Sr)rpS2g63nQ+*-fj{ZPAosj9Ewu?CpWT}`EwDYkoOKpuBmo+>6T&%kE3y#UHa2c
zVz?axnGxoQH&Jhex%(IUqRKK}zFd10M~)+>gRQP9s)`pQ9{eH)hpeP|KIg8ZJ-8!-
z`p=@oJU7lrNxou<axMjL$&KAJoLIAC?#ukJ;kIqAduH<ENP-{ryX+!rl!&3-Gh4m%
z=3^Hp!nn<*$IYZ0d+)T*sGe86{EkSM4tY4jYbBq4{xgC_oEfXe#&OztH&l)dk@nR~
z_s!3HY(_Wtnsvl}84G-sHlc8}5|FliSU{A5GI(PlZYxcA?(D2Yvtz<RevIC5bZs3j
zp!#X`Had;A=Ea|W%y85~a~9Go7vtjQ=~u^CX4An_=;~)o&uzUzsD=h52J8m?;2lj*
z-DdH^%@=qIYO>hhpoTo};CSzTH<>8&Sc>dng9Xhm^gTlaC43+TKV_|WQ%!ru2+8eC
z96kj7g6bP|p+@B>p*TJBlGx8_jaTIS7Z)fCs^PwBn&VCnL(4K|c;y1+8Br#bjD?s4
ziA%>5!fphcn;q5$y)(ctyBT62)9{2{mo1!UB2M!nv!Z4u0WBjiJ#u>01QQQ?Ya()K
zSo5o_3})+J1G18F)buBYuaaEvRJ~D-X~t7doO*uDG&X@q9#t#gN7WT4X?$h*HY|N-
zJ$4c=+(D#LKk>(7oh16&TQa6;p3B99#U#><Nm{$1Ve^4q_`;mK!op0sb3&}lsG<cZ
z10RAYvMwck*bA!f(97Dej>l_asVpKech=sgWJv_ZJy?k~N8oaEKgev!LaDDf^ya@5
z_~pWUg7ScCY;P|@^O%fg@22ae4|73v5tFQql3;kdtnB*`0`b7O4>)8TPCHDSH8EYh
zg_;ZRszf+)jklbYXG@BoNxykISwIqGMbVYttt*Wvqj|e}uX{%G`_s%8?J3>g;`|Z<
zULv++Bnw03w{%|*hhz{xl*z&OM|{i|h^PowD4Z@<h!oioIEjpSj4)kUTaJd8DZj>h
zAS8sZ6C9+cBZz{<k8#kevEk&}Wvgko{BChk$oy-G>4djL=IvowdTI2k;q?eNs>l*;
z!wF{QKI(7373zP!UKBw8h`zVitm)M=E+qD{c#c{wT;omEOg~wY!#P`NaMio2*uf;R
z^f-CF+|`Ih1UKrW3`^?ibn_i0!n!PT-ATNq5%r3*^03E;jIygC!uWc=>gwe9;fLZh
z#6`W;k>w6Gwj)boFR^D(9CwfK7|HPU>e>h7Cd1G&UKkt}H?O{vXA9BAJF_s5{8Q_t
zcEZMys}VYhA0C&3zd&&CHgzZkzP<7N(#E1nfXaf&P?VCebWvLaywbv6l8LlBspIQ0
z6R+VfsUHE*tm<r)kt3xb2`UJ&R98P^v=@2dWSk-u^>PjOz9VW?Kw$BC3|#0PS#PRm
z!C@Tk9K9|N0yM%~b!05*3@1jj?|(T=VE%<t<!D@dURu6I<ds7INv({c@MR7suL=sg
zO844`Pi<wngMEC_7dQOq2HCrbgtc`1O5Rx%bn>lfWZtOjIA))lHIK{THQYsC_E``Q
z5ral#C6A_?Y0bqblICpc)iqhT1Y=RF={jt+sssAQg@iD4mK!lUh|wik8Ek^B6uh%2
z>E!i!cpTAr(?9p+$sBH<$V2?JC@+W+Yi%i&#MN^vkLJbpIqMj*vdITY_uP1(i=C&m
zvq}iJ@cRKNY2<6PT%FHWSbP^OOf@sJXXMTGj?rAq5x2<eq;*-Qn~REgr6bf$Odj7b
zOJ-yokJp`nMY0pc;@A57<`>$6TOqIg4(4mKt<18g$OPzTF7=#MS@p4u_D+qL+R``-
zjv!=Y8m0DWNqY#%Tcve(s=d_4_YP+lFc69y;k^^_nt3zLcigs^`@;H%nQHM=%&9|u
z#GlY#i+z?x-7D6{^f^je+ffKr)pc7Q;bx096_E?H*vh2rj@6j#T92jC#B3@zE%efa
zzG`Nkl8pn(ztqpq{PX0`|Hd6kpd8&K<RC+lpoPm7&{m7-HAEE2F7|sdjrP`ae_*f)
z_?Akl_!)J*h>6x%LYt<}OD!K*PxN$>{j}|wNE93Kt%(F(2}fh?Kvi`s&iDMEQPxqz
zl^`X_Og7&!ry;iLYT06{y}q%BabNXg+E#hdmme4kk|h7)#BpatjdJR})VlnBe+@Fv
z)ix4A9oAXA)?%=MKy)(JHqJl!ZpywL9-5aD@s`*kUPIBUi(jOLRf{NPB3?HOUZH05
zxjKhv@<zv#r{wj*s@BMF4CH6Lm8$g;vbrjIi+XsR&hnXrVVY+xMP6+!(WJ&bC7KA8
zs5xoqueFxp=~W`0siADW|8fY8*Z11GlAkE!CUM?`P~I%3s|bSK$=`U880}|BR<cTT
z#u|kOANH|)E2B9}7IDH!-!My&;E1U+RbQbj$c4rKgMLeX4E6q9?T(od??a9H5=)i4
zfAp}UDfe$ZR}zuRub3>kZ7u<u&<P=egVKT<9;^|wT&vc44P~crWbq-wRx`pJ>fu;X
zg{&X}F-+N%;pkP~IO7bt&Y~P%%d~Gto~!jLj1B^4XG}vG15&}Uw)=-nvUi-Pnl<Z4
zusuks-3_R(9d|C(=7vyIy2&&}%{;sN8X`;N9RBDCx<H>-fIsm3hzMaY-5ejmf8x(=
zRJX%7z7fo6vaoWiX?!wLeJww>{Ym|+h^~i|hr_R%UoK%gY`@1c@`rJpWhdjXf<$@;
zMd0!qI+;at)?4Dv(Z8tJs#PK`yINT^A0aercZ13vydTL40(rh$??n^eH8qYN#gPpp
z2?;2m0cw6<=JMzkK%;G|Eph7T{|8p}9~7^Dh0L2nLV^l9CEb(NmQKbhDPV*NDoo1%
z?z|Gu!H1DD0j}$#5e*odk$dm}v)OaQ!l2!2>k;4-OXvgY?dD}?;}(*fA8lApS3q0n
zwlQ`JJY#EX3z(~vA(Dmid2HXdZcvakm`JlNe&?yKa2&UT-^wxdELdtIZ=O=Z6h`!`
zS0p1fMS88GCow#2_vGYIPqsgthi^cy@ND4)fh)L7j;-K-`%2U@K`mdsr>0T^DZhhg
zhS4DVAN5`0Rtl>Km4^>yiTzsJrkz05+5N~z2UL|M`Z6Zw?Zj5;Tmmx;T>-SxTfP)j
zlYjb@-Qc60xmFguw79rx+gLF{`n-5!4ak&HqbmxSt+IM!=)JUE>`F+UuNO>y^5OXk
z!%nNKHqEVI{wIOun}D@m_r$w4bmk>r*xa06xQOY20^1v_$OOJK%%%MjFbHYm_0<KR
z^;eR{rlv($-?R0C1kJ~fF`@I6m`E5)CqoOYOc7wx-l&cSN+Yc#PwNpeBO~MYPd+Xn
zdM$x<!1PQ+Obkv0E(LPphOKZ9=7W}kuP^A}){v7r00|1f8^FtYmcGR7pDia?0+?cB
zXO{(IfTV^nRy8rb3je1C4zFQ8h$<;52|4B^eX%V-E#Zv|bAM<d_5-P+&-Und8<+88
zfw(CvD<l6Ibh%}k<xD5#Cn$Zka05m~F<>01(x)A10$~hBQA>*m0wPpmxA6vaWXpXd
z^7s369!fmY)kP~LF$uo(8qAfVf~ldXg!U`x-!P_04n6G0Z2@AdLs^mU-Z8^17QoP%
zsOLH%EE{40OeHTl?mD<`SnWNaT2wHD(u4G~;GUPkQQQYJ0T6fp3z?}|XDIr!!y%FV
zy>0>+8!~O9r~o8r`z^cEp|Uk1%`}JtI$xshzoVvvfpQXnRrt4|5iAEF4S}E$_v`?u
zXKR1DYW*+(?8me9w~-6m+p!ma+S{jf_HJ_-m@R#dK7+V-TT!``j;sbp|EKMO8-|i1
z0OVQjEp&?d>9!qCj5GIb&-NuT!F@dkR}VY}0}S^KW$3^!KF6TF2SlN!rUv=ZFf_>k
zvtfz_M6BxB2-m=)pRmW!+FAgATwGk-0VL}lF)c0a`b+~4a6PnSScysSz5pxv0?u4p
z&X!{I?0upC4^bEay)1fOUcxkPWBwT%H9r8lE9}3A2E3a5jyaI$34#l8Z@w)MdC-1C
z)K66a&p_hNdKi>+o9Q@SaDfvdCod0&V;|bOZvkW++sg||``SP4HK?->A1^n|N|o^5
zj)J?!S7Arax%r>&hHGPk&lem*Z-VQF+d~pLH=xrC(D_UU8jYZb@n4vzdi>E&>-FVF
zmw8%1>76inRSjg#alVZPrU&I=((twZrgOH4hnt)1{rlll!sTz>kB-l`DsMDOzgHrj
z54v!wd!GbO`*EWy1E3Q-w~O8cIwdnRv)5j5_*%b|d?`<+ueF2$4_?YRSNG;CS!^<H
zqmchVC)MC0TLAYJ{pdpWiJMI!YmJvZv80SfM@L6NKxZAfSHRrU@BD@_RLw_^B4AqM
zEgT`_%0rf@f|&sYB_(~|X`f|g>3;E<j}et^=h*PBX8@1XwxqBBc~FbGzA;Gj_4i-i
z@1^Tiq6-XzzH(Q0cfq%lx!GA)z)2iiNQ@K6<|v<QFbxwadl0e+1V2B&D>!E`tz-by
zW#Qnf-ue!3Tn?NvyU}jjg)>Bi8E`-VPJHNtt*5_YkduiQI}P;FkSQ#{j)TEfG%%q2
z<+sH}LQ2{>GI9%wN8Sf1kHI=Dgu1#qOaTfx<w0U>E-$k7P|uT&gZU6MK+$${&2<~5
zFzA+)kr5pmyJ_knX4Oad(S8gYy2};bfHWo&b8?JV=8?D?37TOPkUkn{3xkx@T>g33
zF|@bh|DK;O!G0obH8P!G&;<~}Fhz(qHZoOjnO<YVlp7M$kc+y~1GT@VXJf;Jra;#V
z0_mu;vuFPRMG4j+XXXCw`m}dL8i4s0e3*!0VrE8z9Lxs&jHRU|UfXZfp6lOHfd9f<
zdKY00>J>elP&;lANFv+3Z}Rg|p=FPpfWfDej%^FPK)qLI?a_91?r^mJ;|6rF^~Qa6
zXDJ~1KI}J36q4lnZL<Gcrn@foHuUuLtn-3}?*d{JFXS-ZF))C`&CRW+7~CcN`<6vk
z67aS2viA1toZ}psuLA=wQc`s4F!o+^>c5%TQk(FE(a*Oq`Jt%-W8*}ybtS^)1PF-v
zM$Zl6mX?-<ogF6w4dOH&Q$;8s;@;bjE0ME#w?a1D;|-gNN<Wa2kU%$^4o*U;&zwwf
zmBpsSpO#yXPsh86`58Ts9h4Hc*2+qkx*bUHZW}*YV64~d-`T#<ugZhhy;<yqlmV@}
zPEM%B`%6=+-$q7ir|Iy`B~A`mH3eTHLj=Yq$i+R`U?|VYIG!+0PSL6%0|1!?)X;iv
z`6xveBnbJRM!m#pZ0?ANkO9Mo7d-wEM}~;$VUQh<wacupg`xixw2WmP72_%|y#Mlp
f3Yfk7*C^qdDP{MXPCMa8DG<u{)fFn_%tHSMCT*^X

literal 0
HcmV?d00001

diff --git a/docs/manual/classes.html b/docs/manual/classes.html
new file mode 100644
index 0000000..10facbc
--- /dev/null
+++ b/docs/manual/classes.html
@@ -0,0 +1,143 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Class Index</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('classes.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Class Index</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="qindex"><a class="qindex" href="#letter_A">A</a>&#160;|&#160;<a class="qindex" href="#letter_B">B</a>&#160;|&#160;<a class="qindex" href="#letter_C">C</a>&#160;|&#160;<a class="qindex" href="#letter_E">E</a>&#160;|&#160;<a class="qindex" href="#letter_K">K</a>&#160;|&#160;<a class="qindex" href="#letter_N">N</a>&#160;|&#160;<a class="qindex" href="#letter_P">P</a>&#160;|&#160;<a class="qindex" href="#letter_S">S</a>&#160;|&#160;<a class="qindex" href="#letter_T">T</a></div>
+<div class="classindex">
+<dl class="classindex even">
+<dt class="alphachar"><a id="letter_A" name="letter_A">A</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_a2_d_e.html">A2DE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_a_o_d_e.html">AODE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> (bayesnet)</dd></dl>
+<dl class="classindex odd">
+<dt class="alphachar"><a id="letter_B" name="letter_B">B</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_boost.html">Boost</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a> (bayesnet)</dd></dl>
+<dl class="classindex even">
+<dt class="alphachar"><a id="letter_C" name="letter_C">C</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> (bayesnet)</dd></dl>
+<dl class="classindex odd">
+<dt class="alphachar"><a id="letter_E" name="letter_E">E</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_ensemble.html">Ensemble</a> (bayesnet)</dd></dl>
+<dl class="classindex even">
+<dt class="alphachar"><a id="letter_K" name="letter_K">K</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_k_d_b.html">KDB</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> (bayesnet)</dd></dl>
+<dl class="classindex odd">
+<dt class="alphachar"><a id="letter_N" name="letter_N">N</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_network.html">Network</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_node.html">Node</a> (bayesnet)</dd></dl>
+<dl class="classindex even">
+<dt class="alphachar"><a id="letter_P" name="letter_P">P</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_proposal.html">Proposal</a> (bayesnet)</dd></dl>
+<dl class="classindex odd">
+<dt class="alphachar"><a id="letter_S" name="letter_S">S</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> (bayesnet)</dd></dl>
+<dl class="classindex even">
+<dt class="alphachar"><a id="letter_T" name="letter_T">T</a></dt>
+<dd><a class="el" href="classbayesnet_1_1_t_a_n.html">TAN</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> (bayesnet)</dd></dl>
+</div>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/clipboard.js b/docs/manual/clipboard.js
new file mode 100644
index 0000000..42c1fb0
--- /dev/null
+++ b/docs/manual/clipboard.js
@@ -0,0 +1,61 @@
+/**
+
+The code below is based on the Doxygen Awesome project, see
+https://github.com/jothepro/doxygen-awesome-css
+
+MIT License
+
+Copyright (c) 2021 - 2022 jothepro
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+*/
+
+let clipboard_title = "Copy to clipboard"
+let clipboard_icon = `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="24" height="24"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M16 1H4c-1.1 0-2 .9-2 2v14h2V3h12V1zm3 4H8c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h11c1.1 0 2-.9 2-2V7c0-1.1-.9-2-2-2zm0 16H8V7h11v14z"/></svg>`
+let clipboard_successIcon = `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="24" height="24"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41L9 16.17z"/></svg>`
+let clipboard_successDuration = 1000
+
+$(function() {
+  if(navigator.clipboard) {
+    const fragments = document.getElementsByClassName("fragment")
+    for(const fragment of fragments) {
+      const clipboard_div = document.createElement("div")
+      clipboard_div.classList.add("clipboard")
+      clipboard_div.innerHTML = clipboard_icon
+      clipboard_div.title = clipboard_title
+      $(clipboard_div).click(function() {
+        const content = this.parentNode.cloneNode(true)
+        // filter out line number and folded fragments from file listings
+        content.querySelectorAll(".lineno, .ttc, .foldclosed").forEach((node) => { node.remove() })
+        let text = content.textContent
+        // remove trailing newlines and trailing spaces from empty lines
+        text = text.replace(/^\s*\n/gm,'\n').replace(/\n*$/,'')
+        navigator.clipboard.writeText(text);
+        this.classList.add("success")
+        this.innerHTML = clipboard_successIcon
+        window.setTimeout(() => { // switch back to normal icon after timeout
+            this.classList.remove("success")
+            this.innerHTML = clipboard_icon
+        }, clipboard_successDuration);
+      })
+      fragment.insertBefore(clipboard_div, fragment.firstChild)
+    }
+  }
+})
diff --git a/docs/manual/closed.png b/docs/manual/closed.png
new file mode 100644
index 0000000000000000000000000000000000000000..98cc2c909da37a6df914fbf67780eebd99c597f5
GIT binary patch
literal 132
zcmeAS@N?(olHy`uVBq!ia0vp^oFL4>1|%O$WD@{V-kvUwAr*{o@8<G4C~~x2bkCl7
zlF9slZh~6z%aUT|WfKm3{P*dDAfv<6>{^CZMh(5KoB^r_<4^zF@3)Cp&&t3hdujKf
f*?bjBoY!V+E))@{xMcbjXe@)LtDnm{r-UW|*e5JT

literal 0
HcmV?d00001

diff --git a/docs/manual/cookie.js b/docs/manual/cookie.js
new file mode 100644
index 0000000..53ad21d
--- /dev/null
+++ b/docs/manual/cookie.js
@@ -0,0 +1,58 @@
+/*!
+ Cookie helper functions
+ Copyright (c) 2023 Dimitri van Heesch
+ Released under MIT license.
+*/
+let Cookie = {
+  cookie_namespace: 'doxygen_',
+
+  readSetting(cookie,defVal) {
+    if (window.chrome) {
+      const val = localStorage.getItem(this.cookie_namespace+cookie) ||
+                  sessionStorage.getItem(this.cookie_namespace+cookie);
+      if (val) return val;
+    } else {
+      let myCookie = this.cookie_namespace+cookie+"=";
+      if (document.cookie) {
+        const index = document.cookie.indexOf(myCookie);
+        if (index != -1) {
+          const valStart = index + myCookie.length;
+          let valEnd = document.cookie.indexOf(";", valStart);
+          if (valEnd == -1) {
+            valEnd = document.cookie.length;
+          }
+          return document.cookie.substring(valStart, valEnd);
+        }
+      }
+    }
+    return defVal;
+  },
+
+  writeSetting(cookie,val,days=10*365) { // default days='forever', 0=session cookie, -1=delete
+    if (window.chrome) {
+      if (days==0) {
+        sessionStorage.setItem(this.cookie_namespace+cookie,val);
+      } else {
+        localStorage.setItem(this.cookie_namespace+cookie,val);
+      }
+    } else {
+      let date = new Date();
+      date.setTime(date.getTime()+(days*24*60*60*1000));
+      const expiration = days!=0 ? "expires="+date.toGMTString()+";" : "";
+      document.cookie = this.cookie_namespace + cookie + "=" +
+                        val + "; SameSite=Lax;" + expiration + "path=/";
+    }
+  },
+
+  eraseSetting(cookie) {
+    if (window.chrome) {
+      if (localStorage.getItem(this.cookie_namespace+cookie)) {
+        localStorage.removeItem(this.cookie_namespace+cookie);
+      } else if (sessionStorage.getItem(this.cookie_namespace+cookie)) {
+        sessionStorage.removeItem(this.cookie_namespace+cookie);
+      }
+    } else {
+      this.writeSetting(cookie,'',-1);
+    }
+  },
+}
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html
new file mode 100644
index 0000000..9824342
--- /dev/null
+++ b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles Directory Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('dir_2f68445c4ac4316280c650d0a13b2741.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">ensembles Directory Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Directory dependency graph for ensembles:</div>
+<div class="dyncontent">
+<div class="center"><img src="dir_2f68445c4ac4316280c650d0a13b2741_dep.png" border="0" usemap="#adir__2f68445c4ac4316280c650d0a13b2741__dep" alt="/Users/rmontanana/Code/BayesNet/bayesnet/ensembles"/></div>
+<map name="adir__2f68445c4ac4316280c650d0a13b2741__dep" id="adir__2f68445c4ac4316280c650d0a13b2741__dep">
+<area shape="rect" href="dir_2f68445c4ac4316280c650d0a13b2741.html" title="ensembles" alt="" coords="27,52,112,78"/>
+<area shape="rect" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,123,89"/>
+</map>
+</div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
+Files</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a2_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>A2DE.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a2_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>A2DE.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODE.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODE.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODELd.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODELd.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Boost.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Boost.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a2_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostA2DE.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a2_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostA2DE.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostAODE.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a_o_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostAODE.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_ensemble_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Ensemble.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_ensemble_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Ensemble.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js
new file mode 100644
index 0000000..d44bdc7
--- /dev/null
+++ b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js
@@ -0,0 +1,17 @@
+var dir_2f68445c4ac4316280c650d0a13b2741 =
+[
+    [ "A2DE.cc", "_a2_d_e_8cc_source.html", null ],
+    [ "A2DE.h", "_a2_d_e_8h_source.html", null ],
+    [ "AODE.cc", "_a_o_d_e_8cc_source.html", null ],
+    [ "AODE.h", "_a_o_d_e_8h_source.html", null ],
+    [ "AODELd.cc", "_a_o_d_e_ld_8cc_source.html", null ],
+    [ "AODELd.h", "_a_o_d_e_ld_8h_source.html", null ],
+    [ "Boost.cc", "_boost_8cc_source.html", null ],
+    [ "Boost.h", "_boost_8h_source.html", null ],
+    [ "BoostA2DE.cc", "_boost_a2_d_e_8cc_source.html", null ],
+    [ "BoostA2DE.h", "_boost_a2_d_e_8h_source.html", null ],
+    [ "BoostAODE.cc", "_boost_a_o_d_e_8cc_source.html", null ],
+    [ "BoostAODE.h", "_boost_a_o_d_e_8h_source.html", null ],
+    [ "Ensemble.cc", "_ensemble_8cc_source.html", null ],
+    [ "Ensemble.h", "_ensemble_8h_source.html", null ]
+];
\ No newline at end of file
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map
new file mode 100644
index 0000000..b78928c
--- /dev/null
+++ b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map
@@ -0,0 +1,4 @@
+<map id="/Users/rmontanana/Code/BayesNet/bayesnet/ensembles" name="/Users/rmontanana/Code/BayesNet/bayesnet/ensembles">
+<area shape="rect" id="node1" href="dir_2f68445c4ac4316280c650d0a13b2741.html" title="ensembles" alt="" coords="27,52,112,78"/>
+<area shape="rect" id="clust1" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,123,89"/>
+</map>
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5 b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5
new file mode 100644
index 0000000..8dd543c
--- /dev/null
+++ b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5
@@ -0,0 +1 @@
+6cc09d9126554d4a21b3538ccfb3d762
\ No newline at end of file
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.png b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.png
new file mode 100644
index 0000000000000000000000000000000000000000..8f3e6435e76d2f3f4ddf870498f4cf5159cf56c3
GIT binary patch
literal 2616
zcmY*bcRU+f6i#_XDXra-J}n+?#j3`rP_4aHjM_6|6sZx^h&^i4#ty1R%#s=*ln$y$
zs`jYeAgXGFTFpy;@2~f}zkAL<_nz;&=iYPAmt<n3&CV*o3IG7ub#*jM={}i0Jy@9N
zmi75(B;7GN>uYNOXn#gYXJs}3aBfpq<DOY?;pW#++h;Jo?(KPlSJAJ9bnnHQT;ydj
z!5MHi$2YUVgkuvu4mK%nKJ9t=c{xKZNZcT+^y@l1yJmBrX&-z^NgH*_g78m?X*ZeO
zMD41N+;PIjb=h4a8>4^H?x|O9-YSHoTu3@5Fv5wE7w@xNi~YaR$QcQM{ajmHQ(}s7
zN_h*lClQHr;>+H0bB;2#v&~+XnEMb-i+_@hDwD&$jVbIztKT<N#b8>VN0(_2rll7Z
zM&cW9b@}(LZVqXd4U58HFz;K+-3(sYu-)9M$Iu9ct+QTlSp;<wJ4Pt3!$@-Uds2aD
zvWa0<c|qc(JGBN46FJu0@5*s}BEXq1-x@YIme<D@gYI92^9^%kf$oEAvglz~;$q_i
z$E|sI`HLO<m*V8}^mE<Jn_OYAx<Veoc`L660pvXod7qO>G5^5ws*i#nho)d#uz*CU
zk2)AUW@c%b7gpQU#1+%?`A4p~x%nFPNd91h`h-}h>W#G3*Jm>~ub6PYNyhs>zb!A{
z5*nV?jm;`A$LCGqFv6}nfO}`UAP5Jp=4O7tuT`S-rSK7iRyt5`E#nNxTJb_;f>0sR
zw>ZxuWq5XWFz{N`%Svy?1-0K1y;^fR4?n6gUD$K^Frc5>zu#wRDdYU`dYKl72;_ER
z`0+jif9rbyt?Om2zF2U^-5BO0Sy?v*I^(CZzLyp9ad0AHeosU7bVa?O)2HYIofG{K
zsao$!Mf&<@8?$4WcS5|z^Z;mSo57Q_(x$<L6g#}b_98QCk&eE!RGE?4m0D3D2Jl0|
zp$?X$&DK5>o6sl^-ED(>U|-|XE#%f=zGQ*?PEY(@sBKs@xWA@<>KLpk{wesRfBw~8
z`2cOa4N)3TAgBN#eksyOGUDXDEb<Y_ECnxd;1GPUIiOwqh&;D`FtgV@gUO>bjI5v3
zB`uouGyMEM8?yJ~Yr$})OX3?itMZ!@<|myP>J7ofWaE+-gu>;%r)$H@{5*Vo7rFiU
zhlV6qz7v_QN(M?~J1?&-l6&_D&*uvWhIo?YE}dt3a`0nF1zM4niD6}83=9kmd$kyT
zQ{rZ@+di<RJbcbmQXgGc0yn-;FZ7tPOiR<$%&Y`Bk~U{k48#t*zo?}XLOt7<Amv0x
zsx6b87S*SYS|#0^ty_Fa3!PN2&z{Y(+UM0n$IJnH2!9czAH)M|gFi&O-;y&8**Z-J
z{QBMD?CIroS%KVZv1`lEN9-=SN60RG+p$&aOn;2A@$rodaUTo_%HzKvzP`T8-a$b@
zbn?6|ca$sj&^tT0+hFh_g~Hlh8guyT_+XWOH})YRHyqr)as92z6Dip6<^&z#`K1%G
z^ZC5khu%dpnK=1afpOv6X6h<<0<nPL6d3w|>dq-v(f78KtTZkX_A}r)5EV7Gw<pFQ
zKy!D$j~KL3<y~x3$va7hUjoxi4dC!G`IjT>!fb45$Z>0sr;m@D;m!;Icqbq-WzTGh
zo9l+8WNA*NcnmW$V@6(PZ_qriAS&vCOW#OYf}pfizVXtihkG;s1?3~lR=?jTA@aV{
zi9L=bwYAT%N!e3JQ*QfPwD`*-T#7+IfcEzGv&hi%Ox#=O2)!F(ku}K@U@+KjdnZ82
ztHFv~Q64dVgY7{XigxCE|5rnI1YlSp-D$<Jtc@0xfEOW4MJL3{fWl-%;^VT~H|72g
zTbm%f4n8Ap{5#U32BzoCbyoWg>?nmfWt)M4A;gO+Kvq>wUgYda0dg8WeE64KF=nW)
z^=nip2@@Ol*R5+$K<SX%F`CIa^fcDDX_e;!8nc)44p+(^&Ao2acc`gfc=o~gPjEU-
zdrMn6z_Vvz#trtEJ<1qcB(&0KX?f&As+RhvcGoW>P+dbB!I042Zq3TZy0)<#Q#{|?
zd(6(n*!Pt6u(32MF|oAQTa(>ic5!Lm0Rn*_9yfk9SA+B1RT={i{L|GHA+{wXbG2lQ
zbb54XYHqIS)bn7xK0N1}G_7Z)O@GThLa%ICMpW^oy4P)fZW%Eg?s0o7anszw;_b=m
z>d#3RV=ivF;kkiEK`i{iHAvWXW!(N`=w+lh74)`3)GF4~2uc$EPNEo#S`;?;qEsSZ
zF%F?sF+NG-8X4X?Rbu_ZX4$UmV(l=M<h5L46+F|Gvs$-_Wvs9oqdA!a9mBC4XVKTW
zWz+8DJV(ofj&rx<R?lp2-HkM_nV5E!Qo;pr8(EQ-=22<|PvwUrXouwa(TNFcL<D>k
zHwm$N(VHgjF&*B5*@wgTYsIfiNH(q)HnE=@dx_DkBHuo>iaqU@7o~If1N%DL)VG5|
zxyeUFr3s;GTequ0*-!YCO(@=$HZ}v(VBe9?3&Gyq?V2jdcza*RuHu4nRfL{wK|z5{
z(PaSvfhxHXDRpdXQT`#QZe&>TQB&^5fE%{B0I!NbJ0BeeHyza}u&|wTHCbo|*)%22
zOQVuX01gbt$3IU9O1+ADotvY;nDW3oHxp{%4=4jn<YW8|Y7~wKS6Uh+qRo+cV6G}L
zZ#z`2;IKOLE}{SK!|n=6Ed5`uc=3Y4<cD`9`4Wg)<8Q`cMS4*oU4V`7(F<P~eP8%y
zLGx&D{oNHB4R9)wu9}w9s?ff6uC2Y@@8n_THooG?3|5ti_ml$6RQFN0+=mIO_$iiY
zbF4NLN6c2=eM*m$bJXoU(;oM8Bl?n1Ah$!rcF>q?cvu(!@fbguF6I8&aoI&6HJ&e=
z&9S}JPBR2gaWS#36!HHk#i|!RC1rO#pR!sp%3R+mi=uqe8YI&JRhY^HttlXwF-M47
z<7mzhke<masUA=9b4bth(y~)Z?eJwPh$9b#K5EJ<qwg(~HI$v0G1`<3c<oRGMoXc*
zi^1~*R*rV|GX}Z_OZ7=Xt?L8w2*-=Ot2VT_0J~32%bSB&l!x}Cpn|)U8q}0q8WdiW
z+Ik=a0!;6>>{6*-VB%~TdVIYKC~u{Pmo893A9V+cRw(_Umq*Hv2;3K@(tA4=&RMOr
za<(2}@Tb!kI4q!_qhAFXr`1)SPGK9MG}()7wxq10BD?WnC2tHU^k7A&X|jix3cBLc
zCpD8{G9(5^tJ>QSh8uOcwMqmB2Twkds>%9hs-ln3sao2d{Tj*zMiRi#bIc1F^rDgN
z2mcWsn)K56VyFm1@i__YgscBoOBTNBA))@di5<A1Qzs`*nqAkDv72$I@-65obX;6J
zKh(B2XeT&ku3D0%)_^aj=ap&ASblA=YS=GF?3cf>^v3sGHB@4`14;P5y!uaV#T*Gu
Y7ybUL1C$4$OF@9HrjbVdeaGm30r?d&T>t<8

literal 0
HcmV?d00001

diff --git a/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html b/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html
new file mode 100644
index 0000000..be6d54d
--- /dev/null
+++ b/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html
@@ -0,0 +1,129 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet Directory Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('dir_40070fdff85d618b4d1d3ab4ac4f79bb.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">bayesnet Directory Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="subdirs" name="subdirs"></a>
+Directories</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="iconfclosed"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="iconfclosed"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="iconfclosed"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
+Files</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_base_classifier_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BaseClassifier.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js b/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js
new file mode 100644
index 0000000..4a6e185
--- /dev/null
+++ b/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js
@@ -0,0 +1,7 @@
+var dir_40070fdff85d618b4d1d3ab4ac4f79bb =
+[
+    [ "classifiers", "dir_520a649ed2b1c3b658a695aeefe46a5a.html", "dir_520a649ed2b1c3b658a695aeefe46a5a" ],
+    [ "ensembles", "dir_2f68445c4ac4316280c650d0a13b2741.html", "dir_2f68445c4ac4316280c650d0a13b2741" ],
+    [ "network", "dir_efcd97b18bba957e8e278307db4f845a.html", "dir_efcd97b18bba957e8e278307db4f845a" ],
+    [ "BaseClassifier.h", "_base_classifier_8h_source.html", null ]
+];
\ No newline at end of file
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html
new file mode 100644
index 0000000..65dc0cf
--- /dev/null
+++ b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html
@@ -0,0 +1,163 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers Directory Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('dir_520a649ed2b1c3b658a695aeefe46a5a.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">classifiers Directory Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Directory dependency graph for classifiers:</div>
+<div class="dyncontent">
+<div class="center"><img src="dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png" border="0" usemap="#adir__520a649ed2b1c3b658a695aeefe46a5a__dep" alt="/Users/rmontanana/Code/BayesNet/bayesnet/classifiers"/></div>
+<map name="adir__520a649ed2b1c3b658a695aeefe46a5a__dep" id="adir__520a649ed2b1c3b658a695aeefe46a5a__dep">
+<area shape="rect" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html" title="classifiers" alt="" coords="27,52,107,78"/>
+<area shape="rect" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,117,89"/>
+</map>
+</div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
+Files</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_classifier_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Classifier.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_classifier_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Classifier.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDB.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDB.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDBLd.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDBLd.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_proposal_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Proposal.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_proposal_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Proposal.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_pn_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPnDE.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_pn_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPnDE.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODE.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODE.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODELd.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODELd.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TAN.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TAN.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TANLd.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TANLd.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js
new file mode 100644
index 0000000..9cdb471
--- /dev/null
+++ b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js
@@ -0,0 +1,21 @@
+var dir_520a649ed2b1c3b658a695aeefe46a5a =
+[
+    [ "Classifier.cc", "_classifier_8cc_source.html", null ],
+    [ "Classifier.h", "_classifier_8h_source.html", null ],
+    [ "KDB.cc", "_k_d_b_8cc_source.html", null ],
+    [ "KDB.h", "_k_d_b_8h_source.html", null ],
+    [ "KDBLd.cc", "_k_d_b_ld_8cc_source.html", null ],
+    [ "KDBLd.h", "_k_d_b_ld_8h_source.html", null ],
+    [ "Proposal.cc", "_proposal_8cc_source.html", null ],
+    [ "Proposal.h", "_proposal_8h_source.html", null ],
+    [ "SPnDE.cc", "_s_pn_d_e_8cc_source.html", null ],
+    [ "SPnDE.h", "_s_pn_d_e_8h_source.html", null ],
+    [ "SPODE.cc", "_s_p_o_d_e_8cc_source.html", null ],
+    [ "SPODE.h", "_s_p_o_d_e_8h_source.html", null ],
+    [ "SPODELd.cc", "_s_p_o_d_e_ld_8cc_source.html", null ],
+    [ "SPODELd.h", "_s_p_o_d_e_ld_8h_source.html", null ],
+    [ "TAN.cc", "_t_a_n_8cc_source.html", null ],
+    [ "TAN.h", "_t_a_n_8h_source.html", null ],
+    [ "TANLd.cc", "_t_a_n_ld_8cc_source.html", null ],
+    [ "TANLd.h", "_t_a_n_ld_8h_source.html", null ]
+];
\ No newline at end of file
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map
new file mode 100644
index 0000000..1ebf8c8
--- /dev/null
+++ b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map
@@ -0,0 +1,4 @@
+<map id="/Users/rmontanana/Code/BayesNet/bayesnet/classifiers" name="/Users/rmontanana/Code/BayesNet/bayesnet/classifiers">
+<area shape="rect" id="node1" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html" title="classifiers" alt="" coords="27,52,107,78"/>
+<area shape="rect" id="clust1" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,117,89"/>
+</map>
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5 b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5
new file mode 100644
index 0000000..0c97c91
--- /dev/null
+++ b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5
@@ -0,0 +1 @@
+ddf4d873601a2bc95e40d58d84328f38
\ No newline at end of file
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png
new file mode 100644
index 0000000000000000000000000000000000000000..b3bde0e7451b3386b5f9c0787686183853dbd0ba
GIT binary patch
literal 2868
zcmV-43(NG0P)<h;3K|Lk000e1NJLTq004ym003zS1^@s66kOoN00006VoOIv0RI60
z0RN!9r;`8x3h7BiK~#90?cI5NO=lXw@!yRti9ZA(ix44_$cEY?=txl+ii9N8t{u}>
zEydKJMd^rXm5$n#X{oAODvN|Enh;A{Gp%imBnS~(Bq6wwP44{RlS_J%o8{)-+?zh%
zzjDtx@AJO7c|PYo=jJ`n1tEkGLI@#*5JCtcgb+dqA%qa(cTHu;-~j;vGc_7b4;_ar
zkB^W4QQ8}(eO2j|6n*;i@mu=QrzhRqJxbjl9krLlix<jlKV;}|%4#d^^=YpOYieV?
ztIUSw&^IY|_3-Z%@|W4~=@Uj&JN=TvqB@5nYTk+C2@DS!xKp1Pk`zKgl0qm*QV0b}
z3ZWoLAr$mV3YAKA(%r+ey2etfl$0xcuwb4+`w%7Rl@xJtaVrK739hcOlq&ts9d_*a
z+Ms<HgTLPk97{M-)5E9`vzk60K77D~2ic|W%gV|^qtR44W_ETqMMXu5?L|dJq~Ezy
zX1ga(o{*hg`dCVfdGB5p`T6;k9$#ho_w3D{h}bZFVwgozJSi+>`qZ~@Z|6)KX9vcO
z8G%~;2!J0BAEbNN4s`G0gGakoygzR?029ZL;+<)ewJ{0{3u*7(n&_wq0M4E{O;5kh
zc)Gjb>f%WFl1192TJ}*moqRp$*2Nbuk2d`H;|bvDROal|oJ||o;nvm(R~JVH1@`6P
z!v{KJ{-IZQ?xv?RW>hHOZ2!t=?^{)wMN(vCWua23IDg?XG5Zg5?(7*pTe$*&4;L?B
z&fNJVT~6c3v7h;B>zAB8bDE&w5cWk!P*6|+K*G^@9_Kvf<(C6ds~<6PL@<Mg25~7R
zjibj;v3utZwr=?+DJfT2zit%?Cr*)kC5=D7`8JCdKKmH|(W8f)Jb9dR7cOz|Z~~XF
zTw;H0jLw)xj{QWl=FQo*eHX8e8e1dpVP%*_QUJ`DHJc_)n$X>^2f@QaIDF`Pii(Q(
zeA5<!f`^ltk-_Cl$uwwCpQNNj0s{w9Sonm5qwxSlMeb$rkRTdZS`r(xkAnPs-kLlO
zjYdP0CQTR?62`vhNYH4=$;n~smM_T4%w*d1nM6b#C^41~7KdYP-H?u*UZ7hyKa!IZ
zb;mR_b!&P66=84hfU|RJ?Q2gjANGE?8w(2yVq^EQ`SbNySXkiY?Tba7Isi1Vv}DN8
zV4@=T^5P!?h}jp(<}bDZaP4XeYPFhPJvx`@r@f~aE^XSfX5A*%u35<k3+CbB;mO?h
z7BJ|QA==}bHEX8**~-d_g8Y1)G0lxxBt=HXT?z^cs8_EZ0O!x0!O5v5XV08w>5@ep
ziaUmvmk$7)J3hNb4jb_*uT2=u;2}X+T3XSw*NXtyHfx4W<Hnr*Z!#*?(|;6a+`WrB
zN6nqvxAE)Y&#>X4WMpKp<%><soH2#I{rYR;s#MQTu*KIQx?-9ey{3;oefsz%C0?wq
zv6QK>u#olZRs(SU{8{!zM-n_dl<U`1X=G!AtE(FTG5eypdNoD+hw|^)n+6Rmng9MA
zLc>O4Ve$0W4S1;^_wV0l*UlYiG#b*<t`inIl)Za)ar*Qxj2=0hd-v{PYimpYmjlt1
za(D7ux?%#<t6PtU4<8!h?WuP9UQ^79iriBz1JR{r%T^peb`%dcX98aAL6@%G7&~qv
z0|E!)*3KPYFIPJGdJq}0hw&3$XW@dm+`4rW3kwTELPwBz@qdgOJx&|X*|{~Jty<5l
z8B^)t?M9bQUU+(XGkMB%`t=`xm9;gV?ycz?(396DjOP6Xi?Ot{(m6(5F#(1Q4QBG2
ze`43p9R_``s)JcAvblBZCiUvp!}hs39UwLJ8jTv+(5O)(0B+yDg`J%}DwT>&8`lvX
z9Z6*L0Y$u=95qRai8Qyf!_l#YcDqKS;ZkxExp{ebd;4gogNi6CCOrN8qG7{^)U9i{
zS^LEC1ePxgCq6#D%70t4xTYxP;NV#5_ExQ&OT4zXcOW}Eo20~xY}l}t510JC)ON*p
z5Wl5Tsc7fsUZpXX6%)`Vt*JAcThhu(OG{<WUuQCD(whVZ4yx(lm=&`+Q&fhRmk)>I
zj@R@s%u=mAQ;4dQq!0=wzn(%EpUJPM5XPtXV}qIZA6I@6gD^087)VqzNeZDLNg)&@
zDTIO~g-|ey^%TOm%wj!-FfN%sYMJV&Phph*l1`uc25Hw*jnP%Dw{q16oLaUrXdiN>
z5DG?JPhn+cO{W(+mw%urAvN`yQO~qSO^T+rw#<50o*=KRZ+C2Crx72rmgz$%$a)H)
zAnPfFLakl6`+Mczvp4=dW5b%-SXViQTvG@IvrCEx53-pz=UsAh9~&foW@aYy=DbT@
zULNrDb})R&A|fNc<KL%#);`l(o0(lwsMTsVtY1xDo?%J_<>%*d=JYRUG*2HYo<8+0
ze*NV?v~_hQGc$waq(p=CYf4NyDT<1UxOwwNg^n$&=9RA6Ri*87aBw8%z+vqJ#W!!>
zVASYwczgRYAaEedKV7AWQ&!z9fV|vX@^W*_9g8V3*`$b#iN>w16MkJg;^XPcn$;^y
zJ+7>pS5S8CDqZ`oUAu})D|^)HM+_d=pOh<?d1u;W)~@-CojbNOEa=%Ih-KBdx_$c=
zj&?R||9UH4?b~qd*ioHhF*PQ+p5n%hG$y@1o{v9SN$QQetX#E@h4bff^=gXZ*s^L~
z>8f3&YhO`Ok+uR~bnHP~+O%c;#?4HAdm8x#`Pu?(x@uf$G#c{q^4Rv(mu%d$1t+JL
zI_qee8k1a45wUj<Eu5SfHarx7m-_bS%dOvNE7=s&Rr5+`?WzjYwJJ|VYFy1<_#rR#
z?N9ys_4V%0m`rl|NKL(ln_J0mym@8tP+GKbDzUA&=2b@@cl!73&APR#wKcDbYga|=
z-HliKHuU!I%Ate*DtBK+JzwLhdzTJ$@6v&9zxldEEelUi?`rF>qH68;eKc*-l$0x%
zOKjWx`Fh1gXK~G|?ceU<*RvPdwtXiJts4SpYgZlm;TRW_Qwbgx!ps>{$jyDMb6-V0
zU*qcBg-e{faEZ7hCt0>!dF@jj{TY)<CdD5I4JIk+BKu>bfv2^s)~sGh^X7IXj?-21
zN>}Zws@Ao7UU@aHo>v|H8IwtV%<bdjOZd`dOdLNNo5qc?v1!bbr5`KG0u2Zp$cA;R
z@%3`W+PWcKyLH#rygGR3sJ3>Mr<XU`_wQ?KSM}>ZfR+FFq||*CRb1n0#`L%O+u{YJ
zr{5tYbR?6fOeZrlqr|b*(VsDyWKsZ3dSfzU$4?|ZJ-tNvA_oUYGVeb-?MB6Xuc&!7
z`}TX-+1V4b|8S|btLoILQ|3Mwmo_Eh|8(k%_UAEUCopF01nujP&=CwA^opX!)o;hB
zt3Oj@vPl78X=$aXXH}ZgYF-s9t9F$>b*-MKtHzZf`ZESuPaza!J%vy(>FGmMo~)-3
z24U1Q#p9eDP8?4#W|y^su^*%|YEoooX0Uu&xG}pFRUp%cP%z4w;<eY`K&>{v@4YZZ
zO>J!r-iKaEQM{hQ&D}%iaUD9A|KW}>9VWS+Lewm|rl@6V?RpAPvm_~mf+U4dkfaa_
zk`zKgug@t|D%Hv6&F$Sll~lZKcu-)7t~Prj4(!&oU)t-}e)+O+o$V_^ucU~Ji(3&F
z7q?=@J5#jV0s;cUbhT+}W2y6YN!lB>y%0hOA%qY@2qA<JLI@#*5JCtc%JqNJ6NhVZ
SFPV@40000<MNUMnLSTZzhK)M_

literal 0
HcmV?d00001

diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html
new file mode 100644
index 0000000..78d5ffc
--- /dev/null
+++ b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html
@@ -0,0 +1,135 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network Directory Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('dir_efcd97b18bba957e8e278307db4f845a.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">network Directory Reference</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="dynheader">
+Directory dependency graph for network:</div>
+<div class="dyncontent">
+<div class="center"><img src="dir_efcd97b18bba957e8e278307db4f845a_dep.png" border="0" usemap="#adir__efcd97b18bba957e8e278307db4f845a__dep" alt="/Users/rmontanana/Code/BayesNet/bayesnet/network"/></div>
+<map name="adir__efcd97b18bba957e8e278307db4f845a__dep" id="adir__efcd97b18bba957e8e278307db4f845a__dep">
+<area shape="rect" href="dir_efcd97b18bba957e8e278307db4f845a.html" title="network" alt="" coords="26,52,94,78"/>
+<area shape="rect" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,104,89"/>
+</map>
+</div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
+Files</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_network_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Network.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_network_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Network.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_node_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Node.cc</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_node_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Node.h</b></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js
new file mode 100644
index 0000000..6c973b6
--- /dev/null
+++ b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js
@@ -0,0 +1,7 @@
+var dir_efcd97b18bba957e8e278307db4f845a =
+[
+    [ "Network.cc", "_network_8cc_source.html", null ],
+    [ "Network.h", "_network_8h_source.html", null ],
+    [ "Node.cc", "_node_8cc_source.html", null ],
+    [ "Node.h", "_node_8h_source.html", null ]
+];
\ No newline at end of file
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map
new file mode 100644
index 0000000..203b233
--- /dev/null
+++ b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map
@@ -0,0 +1,4 @@
+<map id="/Users/rmontanana/Code/BayesNet/bayesnet/network" name="/Users/rmontanana/Code/BayesNet/bayesnet/network">
+<area shape="rect" id="node1" href="dir_efcd97b18bba957e8e278307db4f845a.html" title="network" alt="" coords="26,52,94,78"/>
+<area shape="rect" id="clust1" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,104,89"/>
+</map>
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5 b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5
new file mode 100644
index 0000000..25c4a94
--- /dev/null
+++ b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5
@@ -0,0 +1 @@
+12407aa49bded8b8b8761369fc40201b
\ No newline at end of file
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.png b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.png
new file mode 100644
index 0000000000000000000000000000000000000000..c421b297314d8f32d80f2f9a4c3cb23471361fb7
GIT binary patch
literal 2778
zcmZWr2{aU38=fMQzHCuL+l*omM&hHPgi)GAN<@We5VCKLZHO!(#uhV7+4r#%vJR5T
zGS-=7%ht$Pvm47lo%8?y`Tz5s``-JWd(J)Y^WOX1``kB7Ur(Fo*y&>c0DuR1Tk8Sa
zd$POjQ7-nlvdEZcJ1(@2wie*vPfM-Oi30$R;gDJy4?T$sqh3!R&YW&q8GqZJ?vH|0
z2SKtgzdG|KTsk!{GwecYb{2uol6NXd$P>>tbEqB68I1fY-cfL(EYFs!?D5O`aIuId
zQjgS4w3MupSwL`h&oh2&;ixa0EP5w#RgH0-F;Qpzd<@P9IU4v6YewAZO(0{j*u>ny
zIRO=;ZHTDoM77Phug|Nktt~!})*fUrCu?iVvwm+;+g7jpQelTh`bA2&%CJ4FDUYm3
zH>wErudn)0F))qg=H^c8DjGP96|BRww)ct_!+a1amo*iR$Dp!ARmE=OZkKe1adr^@
z>w=Ex@o;UarwDtC8>i`K!V8|Rb02ET(gAr%+h>irOt(=?f{Wxd7lX~Xqj0zb=R2rq
zHBmsdk$%(SXzf~5|JW^WuV|t>slK*1XgXxJtSot?&LrQ%#KlGaMdhbKc^w^{yyD_U
z=K9W#chN~9#o?l&qNu(H3)tRM<(ZlIxw$!`&0<+3l<ZMiS+~~gc6HM&6^G#asrGkV
zc(^OTPsKZE0s)jCaRcQ0ZPeAciU3v_T|Z|)AUpH`jW#(sl8m3-17xPCeU>a1tyWR(
zqnApYp%wS;2Gkuaa*Y7<g@3~Nl?}mB;Cn|-!$7<*KL$Asz3I1jx#lrXnSQkr|88_Z
zq~B-FxyZb>&7d5yy*T{-ma3y{%-z6<h=}`=LYBmO^$~Ig5qYCa0<7%&rNPlbxZ@G&
z0z(t_CD#8LBg)|qctt8d+G4}Nz<@*j0s64vJHss&Q2+k@ZW2M`E<q)7HPID$7fx=t
zUOQB}Ck-?G)Sexg5*zOw=mv7zW~KX=JYP>SuS!Tvj7dmnCX_Sau8LuQfv9fF>cnn5
z8>X#|mf+Md+7VZt;+SZW8)<ps`1032D`OKA`4Kx#jef+{ovCMYOy<z(hWEA_WTBI%
zTqkznot<|n6bclAI#F5aAtnw5@Si(LiEpyS6O!E^u!N+!7ayMNUU*S?T3T8<JG2v`
z1U)wJ;*zv9J4d_lh;Yx9Eb)1q+CZk9Q{kw3j^2Bb`9*TcGc%%UVxelb7NG(IJngYG
z#sLf+OJWo`a=h8~1K-Jt<p83$U767MJK~Oe!1Vc^LjVOgx5GJH0&H+&C-X^k#@279
z6JTp<Q|IBshnKxuqoKntE*>qVR14n*d7_-!0luo)DE&cA*<|Ep=na8f6KY%At<`VM
z&4KKU-^*v+xxx*TsngTd<vFMNk`pr3X*)mf9pkqn<Wy|lf?J_f*YE&P?LThZNb16G
zi&51SLZt%wFDqA}24+hE?v<r!9T#!Y`@?Xd@DOBqGn1Z|OG<^@02d2fB%D8c=h-vS
z;YMC-iZoThFE9mKq`AWQLGv7?oh+Aa)zY41GHbO`wo&yVHefKgm^d$k)wE$>#4_6{
zYk;L?rr;UDoBGa@kBXkQmFa+XHarePU`k2j{*9UN*^And<jzi_p%YBPy-g<mYl!LZ
zbIJi{lpRYjRL6lAf7jGJ!V9RpYkyNuRPl&~mj_BoNu}A*i?+6bskGlPmfk1yVRyw}
zw@pk48c{&?mo$^dTV(Z!wR$eO$f)oh1+CX+_47!ip4QCttEF!Op1kMU`rQ}`@~9Jf
zdqk008fY`%Qu>DW<t4%q67LfYvoS+9N1|y8l<u#V8^oF<PhQ^o?dg798SKmvu60av
z|0vHR`o4_czBqJCw>8~B;^})Ig)xlKpA%JXp`jfe)5>w|oH+G(&@1VUrR-h2J}Zcb
z9trYi$5u&l&t#ex1ppG|4g#{QKr*tjhuW#sj3-r#l0wIttL(*~(C}P50`s|mM1n}D
zo*8x=ogG@e-^F}UnY7Aqt@dCk?XmcJj@N9a*Wi1Wx2xS4-FW=0|GGkJP@`oLInsM=
zHgDa-$0rm@t;H;9*xE|LhfM6pc8@S=jTx1uQ>qiHQbNae;PCNB;N%Eyn|(l*<^yot
zV`=5hD;?(M&CS6PM~~u1#zterDDTOI6F-$+WvoaojPf9TQmLpks|(~4(By5DhAN^H
z$i!MBdL#2`)N$_3&QB4+X7Ce;ivL$q_Dsik%C|&KUQ7WjGoov>O4c0aXRi{mQj+rg
zKGpWElS2Z1Kvo(Lx%%3wJ9m{#qnWxG)d;)A#m2pVhrEA3t@oq#0H<ofQ{$cQEm+V5
zaLEbsw>ZUSSP)SW6t;~b#C7elV+#BS*;(3DTGBIhF036!b}*I5VC(5}Ve+s{LmE<z
z+(wE^Gb*TYow-uwXlQHd$D+wn27lOui3!^0s)(eK1L{^cQ~>$;mrDHyLOkqR6o*BA
zd{0cl<s5R}3VofsGc={_cRXri)TDIRkgd{xsI#tu`PSM29bwq3Ucc#3>}ZJ}&&B#{
z?H#o*mZu=hZ4_dFBFtRSaYeT{V<!_+*uqbb_i69kjbuxCh$pYO+|nhsdQZermEzv5
z0uOYllcBF&d}}-e*_01gIjweeJJ@rNM}>ywWaF4L658LAQy`|aYfLeRZ-@$HK9Ojl
z`d^T^xBqqFN!4v6a&qX%UzDqHdR|^4VP7U!&M6-f6clX0eTyh8lojNF9^%2k^!NxG
z_VyJ}TK*tYSb2=kz@R^*A-GV?m-!rx=Bq-w^4yF?xMw8HSsvd!+v-f!*k#q4K3-Zf
z%zIi|S~^2NAVS2YVvzSZ`}~{KqjIuh@zJkR`~f}AODp`;G~MsthgJ3Uql>*3=f0b-
zR_Eu(f^lbWrRhhDl{Q;rV%J84LvrIL7~rOR+PG-K_L=kNKX|g<UR*K0W@}6F-Tie7
zKq@4`KYU+<eSWL(>)X(J-|7B=f%s~K_E5PGNIFsOGiHR7R9Lt^HvSRvOTjpqMx)?=
z+=y{7cd#m9@!!?eUD?>MV*f#FUZmpe@K*<|U*JAUuMwe>07)sSiDf<@;XG-tZHM>V
z-I9t5OLFtgZ|h~&GrzMO>gbzG0XoihOv|_Dm<U6|lNN2B9GBhkpuxexqzMsJNiDE|
zPO=^|C|`ERv|v-iR|IznaJ#7P2FZ7K)OKeTE;NpRiD|(k;-U{Dd3&Rxu#%s8*UD!T
zmKTz~utkNSxXoSYab>?|;<}m79*+uU@wj6Alj_ILi1Lxn&bJ3Mpz+EshPfvphtbWL
z3|_su_OkWs*JC!4QY-X^s|8QnyQKTBf!QBUWxDJ2&FY0~&eqNuZ5TS{ltw^^ipZt`
z=jXn@6BwLm()34Vd9aKdTFuy|mqS(SugzOx#y{Wgz&_>X_T)B7#$T}5w><Th_+y@Q
zx2*h1WDO<sgK)Z4x1{xQ%f7`X%j%7HueW%$i<&Y0peZ;csaumt@l!MINvY=gpEBv+
zPd!M44YMSt()S<^&JV)+_D$#2bQP9+4_+x|^Y^k#*1TjH-fO1gBVnDmQ3zUCSh%j4
z_i*Du!C)S{GV5AIO?h|8f)+fgK%5%<|FCMl1E3%O@$FAa$~V}>Dgb#?Ppe2175FbA
Cp^;Gl

literal 0
HcmV?d00001

diff --git a/docs/manual/doc.svg b/docs/manual/doc.svg
new file mode 100644
index 0000000..0b928a5
--- /dev/null
+++ b/docs/manual/doc.svg
@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 80 60" id="doc" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#4665A2">
+<path d="m 14,-1.1445312 c -2.824372,0 -5.1445313,2.320159 -5.1445312,5.1445312 v 72 c 0,2.824372 2.3201592,5.144531 5.1445312,5.144531 h 52 c 2.824372,0 5.144531,-2.320159 5.144531,-5.144531 V 23.699219 a 1.1447968,1.1447968 0 0 0 -0.01563,-0.1875 C 70.977847,22.605363 70.406495,21.99048 70.007812,21.591797 L 48.208984,-0.20898438 C 47.606104,-0.81186474 46.804652,-1.1445313 46,-1.1445312 Z m 1.144531,6.2890624 H 42.855469 V 24 c 0,1.724372 1.420159,3.144531 3.144531,3.144531 H 64.855469 V 74.855469 H 15.144531 Z m 34,4.4179688 L 60.4375,20.855469 H 49.144531 Z"/>
+</g>
+<g style="fill:#D8DFEE;stroke-width:0">
+<path d="M 3.0307167,13.993174 V 7.0307167 h 2.7576792 2.7576792 v 1.8826151 c 0,1.2578262 0.0099,1.9287572 0.029818,2.0216512 0.03884,0.181105 0.168631,0.348218 0.33827,0.43554 l 0.1355017,0.06975 1.9598092,0.0079 1.959809,0.0078 v 4.749829 4.749829 H 8 3.0307167 Z" transform="matrix(5,0,0,5,0,-30)" />
+<path d="M 9.8293515,9.0581469 V 7.9456453 l 1.1058025,1.1055492 c 0.608191,0.6080521 1.105802,1.1086775 1.105802,1.1125015 0,0.0038 -0.497611,0.007 -1.105802,0.007 H 9.8293515 Z" transform="matrix(5,0,0,5,0,-30)" />
+</g>
+</svg>
diff --git a/docs/manual/docd.svg b/docs/manual/docd.svg
new file mode 100644
index 0000000..ac18b27
--- /dev/null
+++ b/docs/manual/docd.svg
@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 80 60" id="doc" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#C4CFE5">
+<path d="m 14,-1.1445312 c -2.824372,0 -5.1445313,2.320159 -5.1445312,5.1445312 v 72 c 0,2.824372 2.3201592,5.144531 5.1445312,5.144531 h 52 c 2.824372,0 5.144531,-2.320159 5.144531,-5.144531 V 23.699219 a 1.1447968,1.1447968 0 0 0 -0.01563,-0.1875 C 70.977847,22.605363 70.406495,21.99048 70.007812,21.591797 L 48.208984,-0.20898438 C 47.606104,-0.81186474 46.804652,-1.1445313 46,-1.1445312 Z m 1.144531,6.2890624 H 42.855469 V 24 c 0,1.724372 1.420159,3.144531 3.144531,3.144531 H 64.855469 V 74.855469 H 15.144531 Z m 34,4.4179688 L 60.4375,20.855469 H 49.144531 Z"/>
+</g>
+<g style="fill:#4665A2;stroke-width:0">
+<path d="M 3.0307167,13.993174 V 7.0307167 h 2.7576792 2.7576792 v 1.8826151 c 0,1.2578262 0.0099,1.9287572 0.029818,2.0216512 0.03884,0.181105 0.168631,0.348218 0.33827,0.43554 l 0.1355017,0.06975 1.9598092,0.0079 1.959809,0.0078 v 4.749829 4.749829 H 8 3.0307167 Z" transform="matrix(5,0,0,5,0,-30)" />
+<path d="M 9.8293515,9.0581469 V 7.9456453 l 1.1058025,1.1055492 c 0.608191,0.6080521 1.105802,1.1086775 1.105802,1.1125015 0,0.0038 -0.497611,0.007 -1.105802,0.007 H 9.8293515 Z" transform="matrix(5,0,0,5,0,-30)" />
+</g>
+</svg>
diff --git a/docs/manual/doxygen.css b/docs/manual/doxygen.css
new file mode 100644
index 0000000..209912c
--- /dev/null
+++ b/docs/manual/doxygen.css
@@ -0,0 +1,2244 @@
+/* The standard CSS for doxygen 1.11.0*/
+
+html {
+/* page base colors */
+--page-background-color: white;
+--page-foreground-color: black;
+--page-link-color: #3D578C;
+--page-visited-link-color: #4665A2;
+
+/* index */
+--index-odd-item-bg-color: #F8F9FC;
+--index-even-item-bg-color: white;
+--index-header-color: black;
+--index-separator-color: #A0A0A0;
+
+/* header */
+--header-background-color: #F9FAFC;
+--header-separator-color: #C4CFE5;
+--header-gradient-image: url('nav_h.png');
+--group-header-separator-color: #879ECB;
+--group-header-color: #354C7B;
+--inherit-header-color: gray;
+
+--footer-foreground-color: #2A3D61;
+--footer-logo-width: 104px;
+--citation-label-color: #334975;
+--glow-color: cyan;
+
+--title-background-color: white;
+--title-separator-color: #5373B4;
+--directory-separator-color: #9CAFD4;
+--separator-color: #4A6AAA;
+
+--blockquote-background-color: #F7F8FB;
+--blockquote-border-color: #9CAFD4;
+
+--scrollbar-thumb-color: #9CAFD4;
+--scrollbar-background-color: #F9FAFC;
+
+--icon-background-color: #728DC1;
+--icon-foreground-color: white;
+--icon-doc-image: url('doc.svg');
+--icon-folder-open-image: url('folderopen.svg');
+--icon-folder-closed-image: url('folderclosed.svg');
+
+/* brief member declaration list */
+--memdecl-background-color: #F9FAFC;
+--memdecl-separator-color: #DEE4F0;
+--memdecl-foreground-color: #555;
+--memdecl-template-color: #4665A2;
+
+/* detailed member list */
+--memdef-border-color: #A8B8D9;
+--memdef-title-background-color: #E2E8F2;
+--memdef-title-gradient-image: url('nav_f.png');
+--memdef-proto-background-color: #DFE5F1;
+--memdef-proto-text-color: #253555;
+--memdef-proto-text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
+--memdef-doc-background-color: white;
+--memdef-param-name-color: #602020;
+--memdef-template-color: #4665A2;
+
+/* tables */
+--table-cell-border-color: #2D4068;
+--table-header-background-color: #374F7F;
+--table-header-foreground-color: #FFFFFF;
+
+/* labels */
+--label-background-color: #728DC1;
+--label-left-top-border-color: #5373B4;
+--label-right-bottom-border-color: #C4CFE5;
+--label-foreground-color: white;
+
+/** navigation bar/tree/menu */
+--nav-background-color: #F9FAFC;
+--nav-foreground-color: #364D7C;
+--nav-gradient-image: url('tab_b.png');
+--nav-gradient-hover-image: url('tab_h.png');
+--nav-gradient-active-image: url('tab_a.png');
+--nav-gradient-active-image-parent: url("../tab_a.png");
+--nav-separator-image: url('tab_s.png');
+--nav-breadcrumb-image: url('bc_s.png');
+--nav-breadcrumb-border-color: #C2CDE4;
+--nav-splitbar-image: url('splitbar.png');
+--nav-font-size-level1: 13px;
+--nav-font-size-level2: 10px;
+--nav-font-size-level3: 9px;
+--nav-text-normal-color: #283A5D;
+--nav-text-hover-color: white;
+--nav-text-active-color: white;
+--nav-text-normal-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
+--nav-text-hover-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
+--nav-text-active-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
+--nav-menu-button-color: #364D7C;
+--nav-menu-background-color: white;
+--nav-menu-foreground-color: #555555;
+--nav-menu-toggle-color: rgba(255, 255, 255, 0.5);
+--nav-arrow-color: #9CAFD4;
+--nav-arrow-selected-color: #9CAFD4;
+
+/* table of contents */
+--toc-background-color: #F4F6FA;
+--toc-border-color: #D8DFEE;
+--toc-header-color: #4665A2;
+--toc-down-arrow-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' version='1.1' height='10px' width='5px' fill='grey'><text x='0' y='5' font-size='10'>&%238595;</text></svg>");
+
+/** search field */
+--search-background-color: white;
+--search-foreground-color: #909090;
+--search-magnification-image: url('mag.svg');
+--search-magnification-select-image: url('mag_sel.svg');
+--search-active-color: black;
+--search-filter-background-color: #F9FAFC;
+--search-filter-foreground-color: black;
+--search-filter-border-color: #90A5CE;
+--search-filter-highlight-text-color: white;
+--search-filter-highlight-bg-color: #3D578C;
+--search-results-foreground-color: #425E97;
+--search-results-background-color: #EEF1F7;
+--search-results-border-color: black;
+--search-box-shadow: inset 0.5px 0.5px 3px 0px #555;
+
+/** code fragments */
+--code-keyword-color: #008000;
+--code-type-keyword-color: #604020;
+--code-flow-keyword-color: #E08000;
+--code-comment-color: #800000;
+--code-preprocessor-color: #806020;
+--code-string-literal-color: #002080;
+--code-char-literal-color: #008080;
+--code-xml-cdata-color: black;
+--code-vhdl-digit-color: #FF00FF;
+--code-vhdl-char-color: #000000;
+--code-vhdl-keyword-color: #700070;
+--code-vhdl-logic-color: #FF0000;
+--code-link-color: #4665A2;
+--code-external-link-color: #4665A2;
+--fragment-foreground-color: black;
+--fragment-background-color: #FBFCFD;
+--fragment-border-color: #C4CFE5;
+--fragment-lineno-border-color: #00FF00;
+--fragment-lineno-background-color: #E8E8E8;
+--fragment-lineno-foreground-color: black;
+--fragment-lineno-link-fg-color: #4665A2;
+--fragment-lineno-link-bg-color: #D8D8D8;
+--fragment-lineno-link-hover-fg-color: #4665A2;
+--fragment-lineno-link-hover-bg-color: #C8C8C8;
+--fragment-copy-ok-color: #2EC82E;
+--tooltip-foreground-color: black;
+--tooltip-background-color: white;
+--tooltip-border-color: gray;
+--tooltip-doc-color: grey;
+--tooltip-declaration-color: #006318;
+--tooltip-link-color: #4665A2;
+--tooltip-shadow: 1px 1px 7px gray;
+--fold-line-color: #808080;
+--fold-minus-image: url('minus.svg');
+--fold-plus-image: url('plus.svg');
+--fold-minus-image-relpath: url('../../minus.svg');
+--fold-plus-image-relpath: url('../../plus.svg');
+
+/** font-family */
+--font-family-normal: Roboto,sans-serif;
+--font-family-monospace: 'JetBrains Mono',Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace,fixed;
+--font-family-nav: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
+--font-family-title: Tahoma,Arial,sans-serif;
+--font-family-toc: Verdana,'DejaVu Sans',Geneva,sans-serif;
+--font-family-search: Arial,Verdana,sans-serif;
+--font-family-icon: Arial,Helvetica;
+--font-family-tooltip: Roboto,sans-serif;
+
+/** special sections */
+--warning-color-bg: #f8d1cc;
+--warning-color-hl: #b61825;
+--warning-color-text: #75070f;
+--note-color-bg: #faf3d8;
+--note-color-hl: #f3a600;
+--note-color-text: #5f4204;
+--todo-color-bg: #e4f3ff;
+--todo-color-hl: #1879C4;
+--todo-color-text: #274a5c;
+--test-color-bg: #e8e8ff;
+--test-color-hl: #3939C4;
+--test-color-text: #1a1a5c;
+--deprecated-color-bg: #ecf0f3;
+--deprecated-color-hl: #5b6269;
+--deprecated-color-text: #43454a;
+--bug-color-bg: #e4dafd;
+--bug-color-hl: #5b2bdd;
+--bug-color-text: #2a0d72;
+--invariant-color-bg: #d8f1e3;
+--invariant-color-hl: #44b86f;
+--invariant-color-text: #265532;
+}
+
+@media (prefers-color-scheme: dark) {
+  html:not(.dark-mode) {
+    color-scheme: dark;
+
+/* page base colors */
+--page-background-color: black;
+--page-foreground-color: #C9D1D9;
+--page-link-color: #90A5CE;
+--page-visited-link-color: #A3B4D7;
+
+/* index */
+--index-odd-item-bg-color: #0B101A;
+--index-even-item-bg-color: black;
+--index-header-color: #C4CFE5;
+--index-separator-color: #334975;
+
+/* header */
+--header-background-color: #070B11;
+--header-separator-color: #141C2E;
+--header-gradient-image: url('nav_hd.png');
+--group-header-separator-color: #283A5D;
+--group-header-color: #90A5CE;
+--inherit-header-color: #A0A0A0;
+
+--footer-foreground-color: #5B7AB7;
+--footer-logo-width: 60px;
+--citation-label-color: #90A5CE;
+--glow-color: cyan;
+
+--title-background-color: #090D16;
+--title-separator-color: #354C79;
+--directory-separator-color: #283A5D;
+--separator-color: #283A5D;
+
+--blockquote-background-color: #101826;
+--blockquote-border-color: #283A5D;
+
+--scrollbar-thumb-color: #283A5D;
+--scrollbar-background-color: #070B11;
+
+--icon-background-color: #334975;
+--icon-foreground-color: #C4CFE5;
+--icon-doc-image: url('docd.svg');
+--icon-folder-open-image: url('folderopend.svg');
+--icon-folder-closed-image: url('folderclosedd.svg');
+
+/* brief member declaration list */
+--memdecl-background-color: #0B101A;
+--memdecl-separator-color: #2C3F65;
+--memdecl-foreground-color: #BBB;
+--memdecl-template-color: #7C95C6;
+
+/* detailed member list */
+--memdef-border-color: #233250;
+--memdef-title-background-color: #1B2840;
+--memdef-title-gradient-image: url('nav_fd.png');
+--memdef-proto-background-color: #19243A;
+--memdef-proto-text-color: #9DB0D4;
+--memdef-proto-text-shadow: 0px 1px 1px rgba(0, 0, 0, 0.9);
+--memdef-doc-background-color: black;
+--memdef-param-name-color: #D28757;
+--memdef-template-color: #7C95C6;
+
+/* tables */
+--table-cell-border-color: #283A5D;
+--table-header-background-color: #283A5D;
+--table-header-foreground-color: #C4CFE5;
+
+/* labels */
+--label-background-color: #354C7B;
+--label-left-top-border-color: #4665A2;
+--label-right-bottom-border-color: #283A5D;
+--label-foreground-color: #CCCCCC;
+
+/** navigation bar/tree/menu */
+--nav-background-color: #101826;
+--nav-foreground-color: #364D7C;
+--nav-gradient-image: url('tab_bd.png');
+--nav-gradient-hover-image: url('tab_hd.png');
+--nav-gradient-active-image: url('tab_ad.png');
+--nav-gradient-active-image-parent: url("../tab_ad.png");
+--nav-separator-image: url('tab_sd.png');
+--nav-breadcrumb-image: url('bc_sd.png');
+--nav-breadcrumb-border-color: #2A3D61;
+--nav-splitbar-image: url('splitbard.png');
+--nav-font-size-level1: 13px;
+--nav-font-size-level2: 10px;
+--nav-font-size-level3: 9px;
+--nav-text-normal-color: #B6C4DF;
+--nav-text-hover-color: #DCE2EF;
+--nav-text-active-color: #DCE2EF;
+--nav-text-normal-shadow: 0px 1px 1px black;
+--nav-text-hover-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
+--nav-text-active-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
+--nav-menu-button-color: #B6C4DF;
+--nav-menu-background-color: #05070C;
+--nav-menu-foreground-color: #BBBBBB;
+--nav-menu-toggle-color: rgba(255, 255, 255, 0.2);
+--nav-arrow-color: #334975;
+--nav-arrow-selected-color: #90A5CE;
+
+/* table of contents */
+--toc-background-color: #151E30;
+--toc-border-color: #202E4A;
+--toc-header-color: #A3B4D7;
+--toc-down-arrow-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' version='1.1' height='10px' width='5px'><text x='0' y='5' font-size='10' fill='grey'>&%238595;</text></svg>");
+
+/** search field */
+--search-background-color: black;
+--search-foreground-color: #C5C5C5;
+--search-magnification-image: url('mag_d.svg');
+--search-magnification-select-image: url('mag_seld.svg');
+--search-active-color: #C5C5C5;
+--search-filter-background-color: #101826;
+--search-filter-foreground-color: #90A5CE;
+--search-filter-border-color: #7C95C6;
+--search-filter-highlight-text-color: #BCC9E2;
+--search-filter-highlight-bg-color: #283A5D;
+--search-results-background-color: #101826;
+--search-results-foreground-color: #90A5CE;
+--search-results-border-color: #7C95C6;
+--search-box-shadow: inset 0.5px 0.5px 3px 0px #2F436C;
+
+/** code fragments */
+--code-keyword-color: #CC99CD;
+--code-type-keyword-color: #AB99CD;
+--code-flow-keyword-color: #E08000;
+--code-comment-color: #717790;
+--code-preprocessor-color: #65CABE;
+--code-string-literal-color: #7EC699;
+--code-char-literal-color: #00E0F0;
+--code-xml-cdata-color: #C9D1D9;
+--code-vhdl-digit-color: #FF00FF;
+--code-vhdl-char-color: #C0C0C0;
+--code-vhdl-keyword-color: #CF53C9;
+--code-vhdl-logic-color: #FF0000;
+--code-link-color: #79C0FF;
+--code-external-link-color: #79C0FF;
+--fragment-foreground-color: #C9D1D9;
+--fragment-background-color: #090D16;
+--fragment-border-color: #30363D;
+--fragment-lineno-border-color: #30363D;
+--fragment-lineno-background-color: black;
+--fragment-lineno-foreground-color: #6E7681;
+--fragment-lineno-link-fg-color: #6E7681;
+--fragment-lineno-link-bg-color: #303030;
+--fragment-lineno-link-hover-fg-color: #8E96A1;
+--fragment-lineno-link-hover-bg-color: #505050;
+--fragment-copy-ok-color: #0EA80E;
+--tooltip-foreground-color: #C9D1D9;
+--tooltip-background-color: #202020;
+--tooltip-border-color: #C9D1D9;
+--tooltip-doc-color: #D9E1E9;
+--tooltip-declaration-color: #20C348;
+--tooltip-link-color: #79C0FF;
+--tooltip-shadow: none;
+--fold-line-color: #808080;
+--fold-minus-image: url('minusd.svg');
+--fold-plus-image: url('plusd.svg');
+--fold-minus-image-relpath: url('../../minusd.svg');
+--fold-plus-image-relpath: url('../../plusd.svg');
+
+/** font-family */
+--font-family-normal: Roboto,sans-serif;
+--font-family-monospace: 'JetBrains Mono',Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace,fixed;
+--font-family-nav: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
+--font-family-title: Tahoma,Arial,sans-serif;
+--font-family-toc: Verdana,'DejaVu Sans',Geneva,sans-serif;
+--font-family-search: Arial,Verdana,sans-serif;
+--font-family-icon: Arial,Helvetica;
+--font-family-tooltip: Roboto,sans-serif;
+
+/** special sections */
+--warning-color-bg: #2e1917;
+--warning-color-hl: #ad2617;
+--warning-color-text: #f5b1aa;
+--note-color-bg: #3b2e04;
+--note-color-hl: #f1b602;
+--note-color-text: #ceb670;
+--todo-color-bg: #163750;
+--todo-color-hl: #1982D2;
+--todo-color-text: #dcf0fa;
+--test-color-bg: #121258;
+--test-color-hl: #4242cf;
+--test-color-text: #c0c0da;
+--deprecated-color-bg: #2e323b;
+--deprecated-color-hl: #738396;
+--deprecated-color-text: #abb0bd;
+--bug-color-bg: #2a2536;
+--bug-color-hl: #7661b3;
+--bug-color-text: #ae9ed6;
+--invariant-color-bg: #303a35;
+--invariant-color-hl: #76ce96;
+--invariant-color-text: #cceed5;
+}}
+body {
+    background-color: var(--page-background-color);
+    color: var(--page-foreground-color);
+}
+
+body, table, div, p, dl {
+	font-weight: 400;
+	font-size: 14px;
+	font-family: var(--font-family-normal);
+	line-height: 22px;
+}
+
+/* @group Heading Levels */
+
+.title {
+	font-family: var(--font-family-normal);
+	line-height: 28px;
+	font-size: 150%;
+	font-weight: bold;
+	margin: 10px 2px;
+}
+
+h1.groupheader {
+	font-size: 150%;
+}
+
+h2.groupheader {
+	border-bottom: 1px solid var(--group-header-separator-color);
+	color: var(--group-header-color);
+	font-size: 150%;
+	font-weight: normal;
+	margin-top: 1.75em;
+	padding-top: 8px;
+	padding-bottom: 4px;
+	width: 100%;
+}
+
+h3.groupheader {
+	font-size: 100%;
+}
+
+h1, h2, h3, h4, h5, h6 {
+	-webkit-transition: text-shadow 0.5s linear;
+	-moz-transition: text-shadow 0.5s linear;
+	-ms-transition: text-shadow 0.5s linear;
+	-o-transition: text-shadow 0.5s linear;
+	transition: text-shadow 0.5s linear;
+	margin-right: 15px;
+}
+
+h1.glow, h2.glow, h3.glow, h4.glow, h5.glow, h6.glow {
+	text-shadow: 0 0 15px var(--glow-color);
+}
+
+dt {
+	font-weight: bold;
+}
+
+p.startli, p.startdd {
+	margin-top: 2px;
+}
+
+th p.starttd, th p.intertd, th p.endtd {
+        font-size: 100%;
+        font-weight: 700;
+}
+
+p.starttd {
+	margin-top: 0px;
+}
+
+p.endli {
+	margin-bottom: 0px;
+}
+
+p.enddd {
+	margin-bottom: 4px;
+}
+
+p.endtd {
+	margin-bottom: 2px;
+}
+
+p.interli {
+}
+
+p.interdd {
+}
+
+p.intertd {
+}
+
+/* @end */
+
+caption {
+	font-weight: bold;
+}
+
+span.legend {
+	font-size: 70%;
+	text-align: center;
+}
+
+h3.version {
+	font-size: 90%;
+	text-align: center;
+}
+
+div.navtab {
+	padding-right: 15px;
+	text-align: right;
+	line-height: 110%;
+}
+
+div.navtab table {
+	border-spacing: 0;
+}
+
+td.navtab {
+	padding-right: 6px;
+	padding-left: 6px;
+}
+
+td.navtabHL {
+	background-image: var(--nav-gradient-active-image);
+	background-repeat:repeat-x;
+	padding-right: 6px;
+	padding-left: 6px;
+}
+
+td.navtabHL a, td.navtabHL a:visited {
+	color: var(--nav-text-hover-color);
+	text-shadow: var(--nav-text-hover-shadow);
+}
+
+a.navtab {
+	font-weight: bold;
+}
+
+div.qindex{
+	text-align: center;
+	width: 100%;
+	line-height: 140%;
+	font-size: 130%;
+	color: var(--index-separator-color);
+}
+
+#main-menu a:focus {
+	outline: auto;
+	z-index: 10;
+	position: relative;
+}
+
+dt.alphachar{
+	font-size: 180%;
+	font-weight: bold;
+}
+
+.alphachar a{
+	color: var(--index-header-color);
+}
+
+.alphachar a:hover, .alphachar a:visited{
+	text-decoration: none;
+}
+
+.classindex dl {
+	padding: 25px;
+	column-count:1
+}
+
+.classindex dd {
+	display:inline-block;
+	margin-left: 50px;
+	width: 90%;
+	line-height: 1.15em;
+}
+
+.classindex dl.even {
+	background-color: var(--index-even-item-bg-color);
+}
+
+.classindex dl.odd {
+	background-color: var(--index-odd-item-bg-color);
+}
+
+@media(min-width: 1120px) {
+	.classindex dl {
+		column-count:2
+	}
+}
+
+@media(min-width: 1320px) {
+	.classindex dl {
+		column-count:3
+	}
+}
+
+
+/* @group Link Styling */
+
+a {
+	color: var(--page-link-color);
+	font-weight: normal;
+	text-decoration: none;
+}
+
+.contents a:visited {
+	color: var(--page-visited-link-color);
+}
+
+a:hover {
+	text-decoration: none;
+	background:   linear-gradient(to bottom, transparent 0,transparent calc(100% - 1px), currentColor 100%);
+}
+
+a:hover > span.arrow {
+        text-decoration: none;
+        background : var(--nav-background-color);
+}
+
+a.el {
+	font-weight: bold;
+}
+
+a.elRef {
+}
+
+a.code, a.code:visited, a.line, a.line:visited {
+	color: var(--code-link-color);
+}
+
+a.codeRef, a.codeRef:visited, a.lineRef, a.lineRef:visited {
+	color: var(--code-external-link-color);
+}
+
+a.code.hl_class { /* style for links to class names in code snippets */ }
+a.code.hl_struct { /* style for links to struct names in code snippets */ }
+a.code.hl_union { /* style for links to union names in code snippets */ }
+a.code.hl_interface { /* style for links to interface names in code snippets */ }
+a.code.hl_protocol { /* style for links to protocol names in code snippets */ }
+a.code.hl_category { /* style for links to category names in code snippets */ }
+a.code.hl_exception { /* style for links to exception names in code snippets */ }
+a.code.hl_service { /* style for links to service names in code snippets */ }
+a.code.hl_singleton { /* style for links to singleton names in code snippets */ }
+a.code.hl_concept { /* style for links to concept names in code snippets */ }
+a.code.hl_namespace { /* style for links to namespace names in code snippets */ }
+a.code.hl_package { /* style for links to package names in code snippets */ }
+a.code.hl_define { /* style for links to macro names in code snippets */ }
+a.code.hl_function { /* style for links to function names in code snippets */ }
+a.code.hl_variable { /* style for links to variable names in code snippets */ }
+a.code.hl_typedef { /* style for links to typedef names in code snippets */ }
+a.code.hl_enumvalue { /* style for links to enum value names in code snippets */ }
+a.code.hl_enumeration { /* style for links to enumeration names in code snippets */ }
+a.code.hl_signal { /* style for links to Qt signal names in code snippets */ }
+a.code.hl_slot { /* style for links to Qt slot names in code snippets */ }
+a.code.hl_friend { /* style for links to friend names in code snippets */ }
+a.code.hl_dcop { /* style for links to KDE3 DCOP names in code snippets */ }
+a.code.hl_property { /* style for links to property names in code snippets */ }
+a.code.hl_event { /* style for links to event names in code snippets */ }
+a.code.hl_sequence { /* style for links to sequence names in code snippets */ }
+a.code.hl_dictionary { /* style for links to dictionary names in code snippets */ }
+
+/* @end */
+
+dl.el {
+	margin-left: -1cm;
+}
+
+ul.check {
+  list-style:none;
+  text-indent: -16px;
+  padding-left: 38px;
+}
+li.unchecked:before {
+  content: "\2610\A0";
+}
+li.checked:before {
+  content: "\2611\A0";
+}
+
+ol {
+  text-indent: 0px;
+}
+
+ul {
+  text-indent: 0px;
+  overflow: visible;
+}
+
+ul.multicol {
+        -moz-column-gap: 1em;
+        -webkit-column-gap: 1em;
+        column-gap: 1em;
+        -moz-column-count: 3;
+        -webkit-column-count: 3;
+        column-count: 3;
+        list-style-type: none;
+}
+
+#side-nav ul {
+  overflow: visible; /* reset ul rule for scroll bar in GENERATE_TREEVIEW window */
+}
+
+#main-nav ul {
+  overflow: visible; /* reset ul rule for the navigation bar drop down lists */
+}
+
+.fragment {
+  text-align: left;
+  direction: ltr;
+  overflow-x: auto;
+  overflow-y: hidden;
+  position: relative;
+  min-height: 12px;
+  margin: 10px 0px;
+  padding: 10px 10px;
+  border: 1px solid var(--fragment-border-color);
+  border-radius: 4px;
+  background-color: var(--fragment-background-color);
+  color: var(--fragment-foreground-color);
+}
+
+pre.fragment {
+  word-wrap: break-word;
+  font-size:  10pt;
+  line-height: 125%;
+  font-family: var(--font-family-monospace);
+}
+
+.clipboard {
+        width: 24px;
+        height: 24px;
+        right: 5px;
+        top: 5px;
+        opacity: 0;
+        position: absolute;
+        display: inline;
+        overflow: auto;
+        fill: var(--fragment-foreground-color);
+        justify-content: center;
+        align-items: center;
+        cursor: pointer;
+}
+
+.clipboard.success {
+        border: 1px solid var(--fragment-foreground-color);
+        border-radius: 4px;
+}
+
+.fragment:hover .clipboard, .clipboard.success {
+        opacity: .28;
+}
+
+.clipboard:hover, .clipboard.success {
+        opacity: 1 !important;
+}
+
+.clipboard:active:not([class~=success]) svg {
+        transform: scale(.91);
+}
+
+.clipboard.success svg {
+        fill: var(--fragment-copy-ok-color);
+}
+
+.clipboard.success {
+        border-color: var(--fragment-copy-ok-color);
+}
+
+div.line {
+	font-family: var(--font-family-monospace);
+        font-size: 13px;
+	min-height: 13px;
+	line-height: 1.2;
+	text-wrap: unrestricted;
+	white-space: -moz-pre-wrap; /* Moz */
+	white-space: -pre-wrap;     /* Opera 4-6 */
+	white-space: -o-pre-wrap;   /* Opera 7 */
+	white-space: pre-wrap;      /* CSS3  */
+	word-wrap: break-word;      /* IE 5.5+ */
+	text-indent: -53px;
+	padding-left: 53px;
+	padding-bottom: 0px;
+	margin: 0px;
+	-webkit-transition-property: background-color, box-shadow;
+	-webkit-transition-duration: 0.5s;
+	-moz-transition-property: background-color, box-shadow;
+	-moz-transition-duration: 0.5s;
+	-ms-transition-property: background-color, box-shadow;
+	-ms-transition-duration: 0.5s;
+	-o-transition-property: background-color, box-shadow;
+	-o-transition-duration: 0.5s;
+	transition-property: background-color, box-shadow;
+	transition-duration: 0.5s;
+}
+
+div.line:after {
+    content:"\000A";
+    white-space: pre;
+}
+
+div.line.glow {
+	background-color: var(--glow-color);
+	box-shadow: 0 0 10px var(--glow-color);
+}
+
+span.fold {
+        margin-left: 5px;
+        margin-right: 1px;
+        margin-top: 0px;
+        margin-bottom: 0px;
+        padding: 0px;
+	display: inline-block;
+	width: 12px;
+	height: 12px;
+	background-repeat:no-repeat;
+        background-position:center;
+}
+
+span.lineno {
+	padding-right: 4px;
+        margin-right: 9px;
+	text-align: right;
+	border-right: 2px solid var(--fragment-lineno-border-color);
+	color: var(--fragment-lineno-foreground-color);
+	background-color: var(--fragment-lineno-background-color);
+        white-space: pre;
+}
+span.lineno a, span.lineno a:visited {
+	color: var(--fragment-lineno-link-fg-color);
+	background-color: var(--fragment-lineno-link-bg-color);
+}
+
+span.lineno a:hover {
+	color: var(--fragment-lineno-link-hover-fg-color);
+	background-color: var(--fragment-lineno-link-hover-bg-color);
+}
+
+.lineno {
+	-webkit-touch-callout: none;
+	-webkit-user-select: none;
+	-khtml-user-select: none;
+	-moz-user-select: none;
+	-ms-user-select: none;
+	user-select: none;
+}
+
+div.classindex ul {
+        list-style: none;
+        padding-left: 0;
+}
+
+div.classindex span.ai {
+        display: inline-block;
+}
+
+div.groupHeader {
+	margin-left: 16px;
+	margin-top: 12px;
+	font-weight: bold;
+}
+
+div.groupText {
+	margin-left: 16px;
+	font-style: italic;
+}
+
+body {
+	color: var(--page-foreground-color);
+        margin: 0;
+}
+
+div.contents {
+	margin-top: 10px;
+	margin-left: 12px;
+	margin-right: 8px;
+}
+
+p.formulaDsp {
+	text-align: center;
+}
+
+img.dark-mode-visible {
+	display: none;
+}
+img.light-mode-visible {
+	display: none;
+}
+
+img.formulaInl, img.inline {
+	vertical-align: middle;
+}
+
+div.center {
+	text-align: center;
+        margin-top: 0px;
+        margin-bottom: 0px;
+        padding: 0px;
+}
+
+div.center img {
+	border: 0px;
+}
+
+address.footer {
+	text-align: right;
+	padding-right: 12px;
+}
+
+img.footer {
+	border: 0px;
+	vertical-align: middle;
+	width: var(--footer-logo-width);
+}
+
+.compoundTemplParams {
+	color: var(--memdecl-template-color);
+	font-size: 80%;
+	line-height: 120%;
+}
+
+/* @group Code Colorization */
+
+span.keyword {
+	color: var(--code-keyword-color);
+}
+
+span.keywordtype {
+	color: var(--code-type-keyword-color);
+}
+
+span.keywordflow {
+	color: var(--code-flow-keyword-color);
+}
+
+span.comment {
+	color: var(--code-comment-color);
+}
+
+span.preprocessor {
+	color: var(--code-preprocessor-color);
+}
+
+span.stringliteral {
+	color: var(--code-string-literal-color);
+}
+
+span.charliteral {
+	color: var(--code-char-literal-color);
+}
+
+span.xmlcdata {
+	color: var(--code-xml-cdata-color);
+}
+
+span.vhdldigit { 
+	color: var(--code-vhdl-digit-color);
+}
+
+span.vhdlchar { 
+	color: var(--code-vhdl-char-color);
+}
+
+span.vhdlkeyword { 
+	color: var(--code-vhdl-keyword-color);
+}
+
+span.vhdllogic { 
+	color: var(--code-vhdl-logic-color);
+}
+
+blockquote {
+        background-color: var(--blockquote-background-color);
+        border-left: 2px solid var(--blockquote-border-color);
+        margin: 0 24px 0 4px;
+        padding: 0 12px 0 16px;
+}
+
+/* @end */
+
+td.tiny {
+	font-size: 75%;
+}
+
+.dirtab {
+	padding: 4px;
+	border-collapse: collapse;
+	border: 1px solid var(--table-cell-border-color);
+}
+
+th.dirtab {
+	background-color: var(--table-header-background-color);
+	color: var(--table-header-foreground-color);
+	font-weight: bold;
+}
+
+hr {
+	height: 0px;
+	border: none;
+	border-top: 1px solid var(--separator-color);
+}
+
+hr.footer {
+	height: 1px;
+}
+
+/* @group Member Descriptions */
+
+table.memberdecls {
+	border-spacing: 0px;
+	padding: 0px;
+}
+
+.memberdecls td, .fieldtable tr {
+	-webkit-transition-property: background-color, box-shadow;
+	-webkit-transition-duration: 0.5s;
+	-moz-transition-property: background-color, box-shadow;
+	-moz-transition-duration: 0.5s;
+	-ms-transition-property: background-color, box-shadow;
+	-ms-transition-duration: 0.5s;
+	-o-transition-property: background-color, box-shadow;
+	-o-transition-duration: 0.5s;
+	transition-property: background-color, box-shadow;
+	transition-duration: 0.5s;
+}
+
+.memberdecls td.glow, .fieldtable tr.glow {
+	background-color: var(--glow-color);
+	box-shadow: 0 0 15px var(--glow-color);
+}
+
+.mdescLeft, .mdescRight,
+.memItemLeft, .memItemRight,
+.memTemplItemLeft, .memTemplItemRight, .memTemplParams {
+	background-color: var(--memdecl-background-color);
+	border: none;
+	margin: 4px;
+	padding: 1px 0 0 8px;
+}
+
+.mdescLeft, .mdescRight {
+	padding: 0px 8px 4px 8px;
+	color: var(--memdecl-foreground-color);
+}
+
+.memSeparator {
+        border-bottom: 1px solid var(--memdecl-separator-color);
+        line-height: 1px;
+        margin: 0px;
+        padding: 0px;
+}
+
+.memItemLeft, .memTemplItemLeft {
+        white-space: nowrap;
+}
+
+.memItemRight, .memTemplItemRight {
+	width: 100%;
+}
+
+.memTemplParams {
+	color: var(--memdecl-template-color);
+        white-space: nowrap;
+	font-size: 80%;
+}
+
+/* @end */
+
+/* @group Member Details */
+
+/* Styles for detailed member documentation */
+
+.memtitle {
+	padding: 8px;
+	border-top: 1px solid var(--memdef-border-color);
+	border-left: 1px solid var(--memdef-border-color);
+	border-right: 1px solid var(--memdef-border-color);
+	border-top-right-radius: 4px;
+	border-top-left-radius: 4px;
+	margin-bottom: -1px;
+	background-image: var(--memdef-title-gradient-image);
+	background-repeat: repeat-x;
+	background-color: var(--memdef-title-background-color);
+	line-height: 1.25;
+	font-weight: 300;
+	float:left;
+}
+
+.permalink
+{
+        font-size: 65%;
+        display: inline-block;
+        vertical-align: middle;
+}
+
+.memtemplate {
+	font-size: 80%;
+	color: var(--memdef-template-color);
+	font-weight: normal;
+	margin-left: 9px;
+}
+
+.mempage {
+	width: 100%;
+}
+
+.memitem {
+	padding: 0;
+	margin-bottom: 10px;
+	margin-right: 5px;
+        -webkit-transition: box-shadow 0.5s linear;
+        -moz-transition: box-shadow 0.5s linear;
+        -ms-transition: box-shadow 0.5s linear;
+        -o-transition: box-shadow 0.5s linear;
+        transition: box-shadow 0.5s linear;
+        display: table !important;
+        width: 100%;
+}
+
+.memitem.glow {
+         box-shadow: 0 0 15px var(--glow-color);
+}
+
+.memname {
+        font-weight: 400;
+        margin-left: 6px;
+}
+
+.memname td {
+	vertical-align: bottom;
+}
+
+.memproto, dl.reflist dt {
+        border-top: 1px solid var(--memdef-border-color);
+        border-left: 1px solid var(--memdef-border-color);
+        border-right: 1px solid var(--memdef-border-color);
+        padding: 6px 0px 6px 0px;
+        color: var(--memdef-proto-text-color);
+        font-weight: bold;
+        text-shadow: var(--memdef-proto-text-shadow);
+        background-color: var(--memdef-proto-background-color);
+        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+        border-top-right-radius: 4px;
+}
+
+.overload {
+        font-family: var(--font-family-monospace);
+	font-size: 65%;
+}
+
+.memdoc, dl.reflist dd {
+        border-bottom: 1px solid var(--memdef-border-color);
+        border-left: 1px solid var(--memdef-border-color);
+        border-right: 1px solid var(--memdef-border-color);
+        padding: 6px 10px 2px 10px;
+        border-top-width: 0;
+        background-image:url('nav_g.png');
+        background-repeat:repeat-x;
+        background-color: var(--memdef-doc-background-color);
+        /* opera specific markup */
+        border-bottom-left-radius: 4px;
+        border-bottom-right-radius: 4px;
+        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+        /* firefox specific markup */
+        -moz-border-radius-bottomleft: 4px;
+        -moz-border-radius-bottomright: 4px;
+        -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
+        /* webkit specific markup */
+        -webkit-border-bottom-left-radius: 4px;
+        -webkit-border-bottom-right-radius: 4px;
+        -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+}
+
+dl.reflist dt {
+        padding: 5px;
+}
+
+dl.reflist dd {
+        margin: 0px 0px 10px 0px;
+        padding: 5px;
+}
+
+.paramkey {
+	text-align: right;
+}
+
+.paramtype {
+	white-space: nowrap;
+	padding: 0px;
+	padding-bottom: 1px;
+}
+
+.paramname {
+	white-space: nowrap;
+        padding: 0px;
+        padding-bottom: 1px;
+        margin-left: 2px;
+}
+
+.paramname em {
+	color: var(--memdef-param-name-color);
+	font-style: normal;
+	margin-right: 1px;
+}
+
+.paramname .paramdefval {
+	font-family: var(--font-family-monospace);
+}
+
+.params, .retval, .exception, .tparams {
+        margin-left: 0px;
+        padding-left: 0px;
+}
+
+.params .paramname, .retval .paramname, .tparams .paramname, .exception .paramname {
+        font-weight: bold;
+        vertical-align: top;
+}
+
+.params .paramtype, .tparams .paramtype {
+        font-style: italic;
+        vertical-align: top;
+}
+
+.params .paramdir, .tparams .paramdir {
+        font-family: var(--font-family-monospace);
+        vertical-align: top;
+}
+
+table.mlabels {
+	border-spacing: 0px;
+}
+
+td.mlabels-left {
+	width: 100%;
+	padding: 0px;
+}
+
+td.mlabels-right {
+	vertical-align: bottom;
+	padding: 0px;
+	white-space: nowrap;
+}
+
+span.mlabels {
+        margin-left: 8px;
+}
+
+span.mlabel {
+        background-color: var(--label-background-color);
+        border-top:1px solid var(--label-left-top-border-color);
+        border-left:1px solid var(--label-left-top-border-color);
+        border-right:1px solid var(--label-right-bottom-border-color);
+        border-bottom:1px solid var(--label-right-bottom-border-color);
+	text-shadow: none;
+	color: var(--label-foreground-color);
+	margin-right: 4px;
+	padding: 2px 3px;
+	border-radius: 3px;
+	font-size: 7pt;
+	white-space: nowrap;
+	vertical-align: middle;
+}
+
+
+
+/* @end */
+
+/* these are for tree view inside a (index) page */
+
+div.directory {
+        margin: 10px 0px;
+        border-top: 1px solid var(--directory-separator-color);
+        border-bottom: 1px solid var(--directory-separator-color);
+        width: 100%;
+}
+
+.directory table {
+        border-collapse:collapse;
+}
+
+.directory td {
+        margin: 0px;
+        padding: 0px;
+	vertical-align: top;
+}
+
+.directory td.entry {
+        white-space: nowrap;
+        padding-right: 6px;
+	padding-top: 3px;
+}
+
+.directory td.entry a {
+        outline:none;
+}
+
+.directory td.entry a img {
+        border: none;
+}
+
+.directory td.desc {
+        width: 100%;
+        padding-left: 6px;
+	padding-right: 6px;
+	padding-top: 3px;
+	border-left: 1px solid rgba(0,0,0,0.05);
+}
+
+.directory tr.odd {
+	padding-left: 6px;
+	background-color: var(--index-odd-item-bg-color);
+}
+
+.directory tr.even {
+	padding-left: 6px;
+	background-color: var(--index-even-item-bg-color);
+}
+
+.directory img {
+	vertical-align: -30%;
+}
+
+.directory .levels {
+        white-space: nowrap;
+        width: 100%;
+        text-align: right;
+        font-size: 9pt;
+}
+
+.directory .levels span {
+        cursor: pointer;
+        padding-left: 2px;
+        padding-right: 2px;
+	color: var(--page-link-color);
+}
+
+.arrow {
+    color: var(--nav-arrow-color);
+    -webkit-user-select: none;
+    -khtml-user-select: none;
+    -moz-user-select: none;
+    -ms-user-select: none;
+    user-select: none;
+    cursor: pointer;
+    font-size: 80%;
+    display: inline-block;
+    width: 16px;
+    height: 22px;
+}
+
+.icon {
+    font-family: var(--font-family-icon);
+    line-height: normal;
+    font-weight: bold;
+    font-size: 12px;
+    height: 14px;
+    width: 16px;
+    display: inline-block;
+    background-color: var(--icon-background-color);
+    color: var(--icon-foreground-color);
+    text-align: center;
+    border-radius: 4px;
+    margin-left: 2px;
+    margin-right: 2px;
+}
+
+.icona {
+    width: 24px;
+    height: 22px;
+    display: inline-block;
+}
+
+.iconfopen {
+    width: 24px;
+    height: 18px;
+    margin-bottom: 4px;
+    background-image:var(--icon-folder-open-image);
+    background-repeat: repeat-y;
+    vertical-align:top;
+    display: inline-block;
+}
+
+.iconfclosed {
+    width: 24px;
+    height: 18px;
+    margin-bottom: 4px;
+    background-image:var(--icon-folder-closed-image);
+    background-repeat: repeat-y;
+    vertical-align:top;
+    display: inline-block;
+}
+
+.icondoc {
+    width: 24px;
+    height: 18px;
+    margin-bottom: 4px;
+    background-image:var(--icon-doc-image);
+    background-position: 0px -4px;
+    background-repeat: repeat-y;
+    vertical-align:top;
+    display: inline-block;
+}
+
+/* @end */
+
+div.dynheader {
+        margin-top: 8px;
+	-webkit-touch-callout: none;
+	-webkit-user-select: none;
+	-khtml-user-select: none;
+	-moz-user-select: none;
+	-ms-user-select: none;
+	user-select: none;
+}
+
+address {
+	font-style: normal;
+	color: var(--footer-foreground-color);
+}
+
+table.doxtable caption {
+	caption-side: top;
+}
+
+table.doxtable {
+	border-collapse:collapse;
+        margin-top: 4px;
+        margin-bottom: 4px;
+}
+
+table.doxtable td, table.doxtable th {
+	border: 1px solid var(--table-cell-border-color);
+	padding: 3px 7px 2px;
+}
+
+table.doxtable th {
+	background-color: var(--table-header-background-color);
+	color: var(--table-header-foreground-color);
+	font-size: 110%;
+	padding-bottom: 4px;
+	padding-top: 5px;
+}
+
+table.fieldtable {
+        margin-bottom: 10px;
+        border: 1px solid var(--memdef-border-color);
+        border-spacing: 0px;
+        border-radius: 4px;
+        box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
+}
+
+.fieldtable td, .fieldtable th {
+        padding: 3px 7px 2px;
+}
+
+.fieldtable td.fieldtype, .fieldtable td.fieldname {
+        white-space: nowrap;
+        border-right: 1px solid var(--memdef-border-color);
+        border-bottom: 1px solid var(--memdef-border-color);
+        vertical-align: top;
+}
+
+.fieldtable td.fieldname {
+        padding-top: 3px;
+}
+
+.fieldtable td.fielddoc {
+        border-bottom: 1px solid var(--memdef-border-color);
+}
+
+.fieldtable td.fielddoc p:first-child {
+        margin-top: 0px;
+}
+
+.fieldtable td.fielddoc p:last-child {
+        margin-bottom: 2px;
+}
+
+.fieldtable tr:last-child td {
+        border-bottom: none;
+}
+
+.fieldtable th {
+        background-image: var(--memdef-title-gradient-image);
+        background-repeat:repeat-x;
+        background-color: var(--memdef-title-background-color);
+        font-size: 90%;
+        color: var(--memdef-proto-text-color);
+        padding-bottom: 4px;
+        padding-top: 5px;
+        text-align:left;
+        font-weight: 400;
+        border-top-left-radius: 4px;
+        border-top-right-radius: 4px;
+        border-bottom: 1px solid var(--memdef-border-color);
+}
+
+
+.tabsearch {
+	top: 0px;
+	left: 10px;
+	height: 36px;
+	background-image: var(--nav-gradient-image);
+	z-index: 101;
+	overflow: hidden;
+	font-size: 13px;
+}
+
+.navpath ul
+{
+	font-size: 11px;
+	background-image: var(--nav-gradient-image);
+	background-repeat:repeat-x;
+	background-position: 0 -5px;
+	height:30px;
+	line-height:30px;
+	color:var(--nav-text-normal-color);
+	border:solid 1px var(--nav-breadcrumb-border-color);
+	overflow:hidden;
+	margin:0px;
+	padding:0px;
+}
+
+.navpath li
+{
+	list-style-type:none;
+	float:left;
+	padding-left:10px;
+	padding-right:15px;
+	background-image:var(--nav-breadcrumb-image);
+	background-repeat:no-repeat;
+	background-position:right;
+	color: var(--nav-foreground-color);
+}
+
+.navpath li.navelem a
+{
+	height:32px;
+	display:block;
+	outline: none;
+	color: var(--nav-text-normal-color);
+	font-family: var(--font-family-nav);
+	text-shadow: var(--nav-text-normal-shadow);
+	text-decoration: none;
+}
+
+.navpath li.navelem a:hover
+{
+	color: var(--nav-text-hover-color);
+	text-shadow: var(--nav-text-hover-shadow);
+}
+
+.navpath li.footer
+{
+        list-style-type:none;
+        float:right;
+        padding-left:10px;
+        padding-right:15px;
+        background-image:none;
+        background-repeat:no-repeat;
+        background-position:right;
+        color: var(--footer-foreground-color);
+        font-size: 8pt;
+}
+
+
+div.summary
+{
+	float: right;
+	font-size: 8pt;
+	padding-right: 5px;
+	width: 50%;
+	text-align: right;
+}
+
+div.summary a
+{
+	white-space: nowrap;
+}
+
+table.classindex
+{
+        margin: 10px;
+        white-space: nowrap;
+        margin-left: 3%;
+        margin-right: 3%;
+        width: 94%;
+        border: 0;
+        border-spacing: 0;
+        padding: 0;
+}
+
+div.ingroups
+{
+	font-size: 8pt;
+	width: 50%;
+	text-align: left;
+}
+
+div.ingroups a
+{
+	white-space: nowrap;
+}
+
+div.header
+{
+        background-image: var(--header-gradient-image);
+        background-repeat:repeat-x;
+	background-color: var(--header-background-color);
+	margin:  0px;
+	border-bottom: 1px solid var(--header-separator-color);
+}
+
+div.headertitle
+{
+	padding: 5px 5px 5px 10px;
+}
+
+.PageDocRTL-title div.headertitle {
+  text-align: right;
+  direction: rtl;
+}
+
+dl {
+        padding: 0 0 0 0;
+}
+
+/*
+
+dl.section {
+	margin-left: 0px;
+	padding-left: 0px;
+}
+
+dl.note {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #D0C000;
+}
+
+dl.warning, dl.attention, dl.important {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #FF0000;
+}
+
+dl.pre, dl.post, dl.invariant {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #00D000;
+}
+
+dl.deprecated {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #505050;
+}
+
+dl.todo {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #00C0E0;
+}
+
+dl.test {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #3030E0;
+}
+
+dl.bug {
+  margin-left: -7px;
+  padding-left: 3px;
+  border-left: 4px solid;
+  border-color: #C08050;
+}
+
+*/
+
+dl.bug dt a, dl.deprecated dt a, dl.todo dt a, dl.test a {
+    font-weight: bold !important;
+}
+
+dl.warning, dl.attention, dl.important, dl.note, dl.deprecated, dl.bug,
+dl.invariant, dl.pre, dl.post, dl.todo, dl.test, dl.remark {
+    padding: 10px;
+    margin: 10px 0px;
+    overflow: hidden;
+    margin-left: 0;
+    border-radius: 4px;
+}
+
+dl.section dd {
+    margin-bottom: 2px;
+}
+
+dl.warning, dl.attention, dl.important {
+    background: var(--warning-color-bg);
+    border-left: 8px solid var(--warning-color-hl);
+    color: var(--warning-color-text);
+}
+
+dl.warning dt, dl.attention dt, dl.important dt {
+    color: var(--warning-color-hl);
+}
+
+dl.note, dl.remark {
+    background: var(--note-color-bg);
+    border-left: 8px solid var(--note-color-hl);
+    color: var(--note-color-text);
+}
+
+dl.note dt, dl.remark dt {
+    color: var(--note-color-hl);
+}
+
+dl.todo {
+    background: var(--todo-color-bg);
+    border-left: 8px solid var(--todo-color-hl);
+    color: var(--todo-color-text);
+}
+
+dl.todo dt {
+    color: var(--todo-color-hl);
+}
+
+dl.test {
+    background: var(--test-color-bg);
+    border-left: 8px solid var(--test-color-hl);
+    color: var(--test-color-text);
+}
+
+dl.test dt {
+    color: var(--test-color-hl);
+}
+
+dl.bug dt a {
+    color: var(--bug-color-hl) !important;
+}
+
+dl.bug {
+    background: var(--bug-color-bg);
+    border-left: 8px solid var(--bug-color-hl);
+    color: var(--bug-color-text);
+}
+
+dl.bug dt a {
+    color: var(--bug-color-hl) !important;
+}
+
+dl.deprecated {
+    background: var(--deprecated-color-bg);
+    border-left: 8px solid var(--deprecated-color-hl);
+    color: var(--deprecated-color-text);
+}
+
+dl.deprecated dt a {
+    color: var(--deprecated-color-hl) !important;
+}
+
+dl.note dd, dl.warning dd, dl.pre dd, dl.post dd,
+dl.remark dd, dl.attention dd, dl.important dd, dl.invariant dd,
+dl.bug dd, dl.deprecated dd, dl.todo dd, dl.test dd {
+    margin-inline-start: 0px;
+}
+
+dl.invariant, dl.pre, dl.post {
+    background: var(--invariant-color-bg);
+    border-left: 8px solid var(--invariant-color-hl);
+    color: var(--invariant-color-text);
+}
+
+dl.invariant dt, dl.pre dt, dl.post dt {
+    color: var(--invariant-color-hl);
+}
+
+
+#projectrow
+{
+	height: 56px;
+}
+
+#projectlogo
+{
+	text-align: center;
+	vertical-align: bottom;
+	border-collapse: separate;
+}
+
+#projectlogo img
+{
+	border: 0px none;
+}
+
+#projectalign
+{
+        vertical-align: middle;
+        padding-left: 0.5em;
+}
+
+#projectname
+{
+	font-size: 200%;
+	font-family: var(--font-family-title);
+	margin: 0px;
+	padding: 2px 0px;
+}
+
+#projectbrief
+{
+	font-size: 90%;
+        font-family: var(--font-family-title);
+	margin: 0px;
+	padding: 0px;
+}
+
+#projectnumber
+{
+	font-size: 50%;
+	font-family: 50% var(--font-family-title);
+	margin: 0px;
+	padding: 0px;
+}
+
+#titlearea
+{
+	padding: 0px;
+	margin: 0px;
+	width: 100%;
+	border-bottom: 1px solid var(--title-separator-color);
+	background-color: var(--title-background-color);
+}
+
+.image
+{
+        text-align: center;
+}
+
+.dotgraph
+{
+        text-align: center;
+}
+
+.mscgraph
+{
+        text-align: center;
+}
+
+.plantumlgraph
+{
+        text-align: center;
+}
+
+.diagraph
+{
+        text-align: center;
+}
+
+.caption
+{
+	font-weight: bold;
+}
+
+dl.citelist {
+        margin-bottom:50px;
+}
+
+dl.citelist dt {
+        color:var(--citation-label-color);
+        float:left;
+        font-weight:bold;
+        margin-right:10px;
+        padding:5px;
+        text-align:right;
+        width:52px;
+}
+
+dl.citelist dd {
+        margin:2px 0 2px 72px;
+        padding:5px 0;
+}
+
+div.toc {
+        padding: 14px 25px;
+        background-color: var(--toc-background-color);
+        border: 1px solid var(--toc-border-color);
+        border-radius: 7px 7px 7px 7px;
+        float: right;
+        height: auto;
+        margin: 0 8px 10px 10px;
+        width: 200px;
+}
+
+div.toc li {
+        background: var(--toc-down-arrow-image) no-repeat scroll 0 5px transparent;
+        font: 10px/1.2 var(--font-family-toc);
+        margin-top: 5px;
+        padding-left: 10px;
+        padding-top: 2px;
+}
+
+div.toc h3 {
+        font: bold 12px/1.2 var(--font-family-toc);
+	color: var(--toc-header-color);
+        border-bottom: 0 none;
+        margin: 0;
+}
+
+div.toc ul {
+        list-style: none outside none;
+        border: medium none;
+        padding: 0px;
+}
+
+div.toc li.level1 {
+        margin-left: 0px;
+}
+
+div.toc li.level2 {
+        margin-left: 15px;
+}
+
+div.toc li.level3 {
+        margin-left: 15px;
+}
+
+div.toc li.level4 {
+        margin-left: 15px;
+}
+
+span.emoji {
+        /* font family used at the site: https://unicode.org/emoji/charts/full-emoji-list.html
+         * font-family: "Noto Color Emoji", "Apple Color Emoji", "Segoe UI Emoji", Times, Symbola, Aegyptus, Code2000, Code2001, Code2002, Musica, serif, LastResort;
+         */
+}
+
+span.obfuscator {
+  display: none;
+}
+
+.inherit_header {
+        font-weight: bold;
+        color: var(--inherit-header-color);
+        cursor: pointer;
+	-webkit-touch-callout: none;
+	-webkit-user-select: none;
+	-khtml-user-select: none;
+	-moz-user-select: none;
+	-ms-user-select: none;
+	user-select: none;
+}
+
+.inherit_header td {
+        padding: 6px 0px 2px 5px;
+}
+
+.inherit {
+        display: none;
+}
+
+tr.heading h2 {
+        margin-top: 12px;
+        margin-bottom: 4px;
+}
+
+/* tooltip related style info */
+
+.ttc {
+        position: absolute;
+        display: none;
+}
+
+#powerTip {
+	cursor: default;
+	/*white-space: nowrap;*/
+        color: var(--tooltip-foreground-color);
+	background-color: var(--tooltip-background-color);
+	border: 1px solid var(--tooltip-border-color);
+	border-radius: 4px 4px 4px 4px;
+	box-shadow: var(--tooltip-shadow);
+	display: none;
+	font-size: smaller;
+	max-width: 80%;
+	opacity: 0.9;
+	padding: 1ex 1em 1em;
+	position: absolute;
+	z-index: 2147483647;
+}
+
+#powerTip div.ttdoc {
+        color: var(--tooltip-doc-color);
+	font-style: italic;
+}
+
+#powerTip div.ttname a {
+        font-weight: bold;
+}
+
+#powerTip a {
+	color: var(--tooltip-link-color);
+}
+
+#powerTip div.ttname {
+        font-weight: bold;
+}
+
+#powerTip div.ttdeci {
+        color: var(--tooltip-declaration-color);
+}
+
+#powerTip div {
+        margin: 0px;
+        padding: 0px;
+        font-size: 12px;
+       	font-family: var(--font-family-tooltip);
+	line-height: 16px;
+}
+
+#powerTip:before, #powerTip:after {
+	content: "";
+	position: absolute;
+	margin: 0px;
+}
+
+#powerTip.n:after,  #powerTip.n:before,
+#powerTip.s:after,  #powerTip.s:before,
+#powerTip.w:after,  #powerTip.w:before,
+#powerTip.e:after,  #powerTip.e:before,
+#powerTip.ne:after, #powerTip.ne:before,
+#powerTip.se:after, #powerTip.se:before,
+#powerTip.nw:after, #powerTip.nw:before,
+#powerTip.sw:after, #powerTip.sw:before {
+	border: solid transparent;
+	content: " ";
+	height: 0;
+	width: 0;
+	position: absolute;
+}
+
+#powerTip.n:after,  #powerTip.s:after,
+#powerTip.w:after,  #powerTip.e:after,
+#powerTip.nw:after, #powerTip.ne:after,
+#powerTip.sw:after, #powerTip.se:after {
+	border-color: rgba(255, 255, 255, 0);
+}
+
+#powerTip.n:before,  #powerTip.s:before,
+#powerTip.w:before,  #powerTip.e:before,
+#powerTip.nw:before, #powerTip.ne:before,
+#powerTip.sw:before, #powerTip.se:before {
+	border-color: rgba(128, 128, 128, 0);
+}
+
+#powerTip.n:after,  #powerTip.n:before,
+#powerTip.ne:after, #powerTip.ne:before,
+#powerTip.nw:after, #powerTip.nw:before {
+	top: 100%;
+}
+
+#powerTip.n:after, #powerTip.ne:after, #powerTip.nw:after {
+	border-top-color: var(--tooltip-background-color);
+	border-width: 10px;
+	margin: 0px -10px;
+}
+#powerTip.n:before, #powerTip.ne:before, #powerTip.nw:before {
+	border-top-color: var(--tooltip-border-color);
+	border-width: 11px;
+	margin: 0px -11px;
+}
+#powerTip.n:after, #powerTip.n:before {
+	left: 50%;
+}
+
+#powerTip.nw:after, #powerTip.nw:before {
+	right: 14px;
+}
+
+#powerTip.ne:after, #powerTip.ne:before {
+	left: 14px;
+}
+
+#powerTip.s:after,  #powerTip.s:before,
+#powerTip.se:after, #powerTip.se:before,
+#powerTip.sw:after, #powerTip.sw:before {
+	bottom: 100%;
+}
+
+#powerTip.s:after, #powerTip.se:after, #powerTip.sw:after {
+	border-bottom-color: var(--tooltip-background-color);
+	border-width: 10px;
+	margin: 0px -10px;
+}
+
+#powerTip.s:before, #powerTip.se:before, #powerTip.sw:before {
+	border-bottom-color: var(--tooltip-border-color);
+	border-width: 11px;
+	margin: 0px -11px;
+}
+
+#powerTip.s:after, #powerTip.s:before {
+	left: 50%;
+}
+
+#powerTip.sw:after, #powerTip.sw:before {
+	right: 14px;
+}
+
+#powerTip.se:after, #powerTip.se:before {
+	left: 14px;
+}
+
+#powerTip.e:after, #powerTip.e:before {
+	left: 100%;
+}
+#powerTip.e:after {
+	border-left-color: var(--tooltip-border-color);
+	border-width: 10px;
+	top: 50%;
+	margin-top: -10px;
+}
+#powerTip.e:before {
+	border-left-color: var(--tooltip-border-color);
+	border-width: 11px;
+	top: 50%;
+	margin-top: -11px;
+}
+
+#powerTip.w:after, #powerTip.w:before {
+	right: 100%;
+}
+#powerTip.w:after {
+	border-right-color: var(--tooltip-border-color);
+	border-width: 10px;
+	top: 50%;
+	margin-top: -10px;
+}
+#powerTip.w:before {
+	border-right-color: var(--tooltip-border-color);
+	border-width: 11px;
+	top: 50%;
+	margin-top: -11px;
+}
+
+@media print
+{
+  #top { display: none; }
+  #side-nav { display: none; }
+  #nav-path { display: none; }
+  body { overflow:visible; }
+  h1, h2, h3, h4, h5, h6 { page-break-after: avoid; }
+  .summary { display: none; }
+  .memitem { page-break-inside: avoid; }
+  #doc-content
+  {
+    margin-left:0 !important;
+    height:auto !important;
+    width:auto !important;
+    overflow:inherit;
+    display:inline;
+  }
+}
+
+/* @group Markdown */
+
+table.markdownTable {
+	border-collapse:collapse;
+        margin-top: 4px;
+        margin-bottom: 4px;
+}
+
+table.markdownTable td, table.markdownTable th {
+	border: 1px solid var(--table-cell-border-color);
+	padding: 3px 7px 2px;
+}
+
+table.markdownTable tr {
+}
+
+th.markdownTableHeadLeft, th.markdownTableHeadRight, th.markdownTableHeadCenter, th.markdownTableHeadNone {
+	background-color: var(--table-header-background-color);
+	color: var(--table-header-foreground-color);
+	font-size: 110%;
+	padding-bottom: 4px;
+	padding-top: 5px;
+}
+
+th.markdownTableHeadLeft, td.markdownTableBodyLeft {
+	text-align: left
+}
+
+th.markdownTableHeadRight, td.markdownTableBodyRight {
+	text-align: right
+}
+
+th.markdownTableHeadCenter, td.markdownTableBodyCenter {
+	text-align: center
+}
+
+tt, code, kbd, samp
+{
+  display: inline-block;
+}
+/* @end */
+
+u {
+	text-decoration: underline;
+}
+
+details>summary {
+  list-style-type: none;
+}
+
+details > summary::-webkit-details-marker {
+    display: none;
+}
+
+details>summary::before {
+    content: "\25ba";
+    padding-right:4px;
+    font-size: 80%;
+}
+
+details[open]>summary::before {
+    content: "\25bc";
+    padding-right:4px;
+    font-size: 80%;
+}
+
+body {
+    scrollbar-color: var(--scrollbar-thumb-color) var(--scrollbar-background-color);
+}
+
+::-webkit-scrollbar {
+        background-color: var(--scrollbar-background-color);
+        height: 12px;
+        width: 12px;
+}
+::-webkit-scrollbar-thumb {
+        border-radius: 6px;
+        box-shadow: inset 0 0 12px 12px var(--scrollbar-thumb-color);
+        border: solid 2px transparent;
+}
+::-webkit-scrollbar-corner {
+        background-color: var(--scrollbar-background-color);
+}
+
diff --git a/docs/manual/doxygen.svg b/docs/manual/doxygen.svg
new file mode 100644
index 0000000..79a7635
--- /dev/null
+++ b/docs/manual/doxygen.svg
@@ -0,0 +1,28 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" viewBox="0 0 104 31" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+ <defs>
+  <linearGradient id="a">
+   <stop stop-color="#5373B4" offset="0"/>
+   <stop stop-color="#7C95C6" offset="1"/>
+  </linearGradient>
+  <linearGradient id="d" x1="31.474" x2="31.474" y1="24.821" y2="26.773" gradientUnits="userSpaceOnUse" xlink:href="#a"/>
+  <linearGradient id="c" x1="31.474" x2="31.474" y1="24.821" y2="26.773" gradientTransform="matrix(.6816 0 0 1.0248 72.391 -.91809)" gradientUnits="userSpaceOnUse" xlink:href="#a"/>
+  <linearGradient id="b" x1="56.295" x2="56.295" y1="24.622" y2="26.574" gradientUnits="userSpaceOnUse" xlink:href="#a"/>
+  <linearGradient id="e" x1="49.067" x2="48.956" y1="19.719" y2="9.5227" gradientTransform="matrix(.97968 0 0 1.0207 -.25579 -.25579)" gradientUnits="userSpaceOnUse">
+   <stop stop-color="#C0CCE3" offset="0"/>
+   <stop stop-color="#EEF1F7" offset="1"/>
+  </linearGradient>
+  <filter id="f" x="-.010676" y="-.045304" width="1.0214" height="1.0906" color-interpolation-filters="sRGB">
+   <feGaussianBlur stdDeviation="0.45293203"/>
+  </filter>
+ </defs>
+ <g>
+  <path transform="translate(-2.5759 -27.848)" d="m13.609 32.203v6.8633h-0.05078c-0.40533-0.66867-0.96254-1.1715-1.6719-1.5059-0.69244-0.35193-1.4282-0.52734-2.2051-0.52734-0.96267 0-1.807 0.2027-2.5332 0.60742-0.72622 0.38713-1.3344 0.90556-1.8242 1.5566-0.47289 0.65108-0.83456 1.4092-1.0879 2.2715-0.23644 0.84464-0.35547 1.7236-0.35547 2.6387 0 0.95022 0.11902 1.8643 0.35547 2.7441 0.25333 0.87983 0.615 1.6633 1.0879 2.3496 0.48978 0.66867 1.1065 1.2066 1.8496 1.6113 0.74311 0.38713 1.6044 0.58008 2.584 0.58008 0.86133 0 1.6311-0.15787 2.3066-0.47461 0.69244-0.33434 1.2497-0.87227 1.6719-1.6113h0.05078v1.7422h3.4199v-18.846zm12.875 4.8301c-1.0302 0-1.9596 0.17541-2.7871 0.52734-0.82756 0.33434-1.5358 0.81965-2.127 1.4531-0.59111 0.61588-1.0483 1.3721-1.3691 2.2695-0.32089 0.87983-0.48047 1.866-0.48047 2.957s0.15958 2.0752 0.48047 2.9551c0.32089 0.87983 0.77803 1.6361 1.3691 2.2695 0.59111 0.61588 1.2994 1.0914 2.127 1.4258 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.0302 0 1.9596-0.16762 2.7871-0.50195 0.84444-0.33434 1.5612-0.8099 2.1523-1.4258 0.59111-0.63348 1.0483-1.3897 1.3691-2.2695 0.32089-0.87983 0.48047-1.8641 0.48047-2.9551s-0.15958-2.0772-0.48047-2.957c-0.32089-0.89743-0.77803-1.6536-1.3691-2.2695-0.59111-0.63348-1.3079-1.1188-2.1523-1.4531-0.82756-0.35193-1.7569-0.52734-2.7871-0.52734zm41.715 0c-0.912 0-1.7223 0.18516-2.4316 0.55469-0.69244 0.36953-1.2752 0.87043-1.748 1.5039-0.47289 0.61588-0.83651 1.337-1.0898 2.1641-0.23645 0.80944-0.35352 1.6553-0.35352 2.5352 0 0.93262 0.10007 1.8214 0.30273 2.666 0.21956 0.82704 0.55767 1.556 1.0137 2.1895 0.456 0.61588 1.0387 1.109 1.748 1.4785 0.70933 0.35193 1.5536 0.5293 2.5332 0.5293 0.79378 0 1.5446-0.16762 2.2539-0.50195 0.72622-0.35193 1.2834-0.88986 1.6719-1.6113h0.05078v1.7949c0.01689 0.96782-0.21071 1.7689-0.68359 2.4023-0.456 0.63348-1.1898 0.95117-2.2031 0.95117-0.64178 0-1.2075-0.14228-1.6973-0.42383-0.48978-0.26395-0.81939-0.74731-0.98828-1.4512h-3.5723c0.05067 0.77425 0.25276 1.435 0.60742 1.9805 0.37156 0.56309 0.8287 1.0192 1.3691 1.3711 0.55733 0.35193 1.1656 0.60726 1.8242 0.76562 0.67556 0.17597 1.3328 0.26562 1.9746 0.26562 1.5031 0 2.7025-0.21245 3.5977-0.63477 0.89511-0.42232 1.5798-0.94076 2.0527-1.5566 0.47289-0.59829 0.777-1.2493 0.91211-1.9531 0.152-0.70386 0.22656-1.3295 0.22656-1.875v-12.775h-3.4199v1.8223h-0.05078c-0.43911-0.79185-0.98782-1.3551-1.6465-1.6895-0.64178-0.33434-1.3926-0.50195-2.2539-0.50195zm16.523 0c-0.99644 0-1.9088 0.18516-2.7363 0.55469-0.81067 0.36953-1.5124 0.88018-2.1035 1.5312-0.59111 0.63348-1.0463 1.3897-1.3672 2.2695s-0.48047 1.831-0.48047 2.8516c0 1.0558 0.15108 2.0225 0.45508 2.9023 0.32089 0.87983 0.76758 1.6361 1.3418 2.2695 0.57422 0.63348 1.276 1.1266 2.1035 1.4785 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.4862 0 2.7517-0.35277 3.7988-1.0566 1.0471-0.70387 1.8254-1.8733 2.332-3.5098h-3.168c-0.11822 0.42232-0.43934 0.82772-0.96289 1.2148-0.52355 0.36953-1.1468 0.55274-1.873 0.55273-1.0133 0-1.7916-0.27286-2.332-0.81836-0.54044-0.5455-0.83605-1.4245-0.88672-2.6387h9.4492c0.06756-1.0558-0.01551-2.0673-0.25195-3.0352-0.23644-0.96782-0.62557-1.8293-1.166-2.5859-0.52356-0.75666-1.1998-1.355-2.0273-1.7949-0.82756-0.45751-1.7974-0.6875-2.9121-0.6875zm16.189 0c-0.76 0-1.5023 0.18516-2.2285 0.55469-0.72622 0.35193-1.3174 0.92299-1.7734 1.7148h-0.07617v-1.9004h-3.4199v13.646h3.5977v-7.1523c0-1.3901 0.21909-2.3841 0.6582-2.9824 0.43911-0.61588 1.1494-0.92383 2.1289-0.92383 0.86133 0 1.4611 0.28066 1.7988 0.84375 0.33777 0.5455 0.50586 1.3816 0.50586 2.5078v7.707h3.5976v-8.3926c0-0.84464-0.0765-1.6106-0.22851-2.2969-0.13511-0.70387-0.37971-1.2925-0.73438-1.7676-0.35466-0.49271-0.84386-0.87277-1.4688-1.1367-0.608-0.28155-1.3948-0.42188-2.3574-0.42188zm-66.063 0.36914 4.3066 6.4668-4.7129 7.1797h4.0293l2.7363-4.3027 2.7344 4.3027h4.1055l-4.8398-7.2578 4.3066-6.3887h-3.9766l-2.2793 3.5645-2.3066-3.5645zm13.275 0 4.584 12.803c0.10133 0.26395 0.15234 0.54461 0.15234 0.84375 0 0.40472-0.11707 0.77504-0.35352 1.1094-0.21956 0.33434-0.56617 0.52729-1.0391 0.58008-0.35467 0.0176-0.70979 0.0098-1.0645-0.02539-0.35467-0.03519-0.70128-0.07028-1.0391-0.10547v3.0879c0.37156 0.03519 0.73518 0.06051 1.0898 0.07813 0.37156 0.03519 0.74368 0.05273 1.1152 0.05273 1.2329 0 2.1943-0.23778 2.8867-0.71289 0.69244-0.47511 1.2326-1.2664 1.6211-2.375l5.4727-15.336h-3.7246l-2.8613 9.3438h-0.05078l-2.9648-9.3438zm-37.48 2.4551c0.59111 0 1.0823 0.12279 1.4707 0.36914 0.38844 0.24635 0.6991 0.57184 0.93555 0.97656 0.25333 0.38713 0.43187 0.84515 0.5332 1.373 0.10133 0.5103 0.15234 1.0482 0.15234 1.6113 0 0.56309-0.05101 1.1069-0.15234 1.6348-0.10133 0.5279-0.27137 1.0035-0.50781 1.4258-0.23644 0.40472-0.5556 0.73021-0.96094 0.97656-0.38844 0.24635-0.87959 0.36914-1.4707 0.36914-0.55733 0-1.038-0.12279-1.4434-0.36914-0.38844-0.26395-0.71806-0.59723-0.98828-1.002-0.25333-0.42232-0.43842-0.89788-0.55664-1.4258s-0.17773-1.0561-0.17773-1.584c-1e-7 -0.56309 0.05101-1.0991 0.15234-1.6094 0.11822-0.5279 0.29481-0.99567 0.53125-1.4004 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.24635 0.90303-0.36914 1.4941-0.36914zm15.84 0c0.608 0 1.1142 0.13253 1.5195 0.39648 0.42222 0.24635 0.75184 0.57184 0.98828 0.97656 0.25333 0.40472 0.42992 0.87054 0.53125 1.3984 0.10133 0.5279 0.15234 1.0658 0.15234 1.6113 0 0.5455-0.05101 1.0815-0.15234 1.6094-0.10134 0.5103-0.27792 0.97612-0.53125 1.3984-0.23644 0.40472-0.56606 0.73021-0.98828 0.97656-0.40533 0.24635-0.91153 0.36914-1.5195 0.36914-0.608 0-1.1142-0.12279-1.5195-0.36914s-0.73495-0.57184-0.98828-0.97656c-0.23644-0.42232-0.40648-0.88814-0.50781-1.3984-0.10133-0.5279-0.15234-1.0639-0.15234-1.6094 0-0.5455 0.05101-1.0834 0.15234-1.6113 0.10133-0.5279 0.27137-0.99371 0.50781-1.3984 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.26395 0.91153-0.39648 1.5195-0.39648zm42.602 0c0.59111 0 1.0803 0.11499 1.4688 0.34375 0.38844 0.22876 0.70105 0.5367 0.9375 0.92383 0.23644 0.38713 0.40648 0.8354 0.50781 1.3457 0.10133 0.49271 0.15039 1.0209 0.15039 1.584 0 0.4927-0.06606 0.96827-0.20117 1.4258-0.11822 0.43992-0.30526 0.83557-0.55859 1.1875-0.25333 0.35193-0.57445 0.63259-0.96289 0.84375-0.38844 0.21116-0.83513 0.31836-1.3418 0.31836-0.55733 0-1.021-0.12474-1.3926-0.37109-0.37156-0.24635-0.67566-0.56209-0.91211-0.94922-0.21956-0.38713-0.38109-0.81786-0.48242-1.293-0.08444-0.49271-0.12695-0.98581-0.12695-1.4785 0-0.5103 0.05101-0.99366 0.15234-1.4512 0.11822-0.47511 0.29676-0.89025 0.5332-1.2422 0.25333-0.36953 0.55744-0.65993 0.91211-0.87109 0.37156-0.21116 0.80974-0.31641 1.3164-0.31641zm15.535 0c0.87822 0 1.529 0.24753 1.9512 0.74023 0.43911 0.49271 0.74322 1.2138 0.91211 2.1641h-5.8535c0.01689-0.26395 0.0679-0.5641 0.15234-0.89844 0.10133-0.33434 0.26287-0.65008 0.48242-0.94922 0.23644-0.29914 0.54055-0.54667 0.91211-0.74023 0.38845-0.21116 0.86914-0.31641 1.4434-0.31641z" filter="url(#f)" opacity=".3" stroke="#969696"/>
+  <path d="m0.97202 24.161 43.605-0.0019 0.0508 3.3061-43.6 0.04174z" fill="url(#d)" stroke="#000" stroke-width=".5"/>
+  <path d="m10.283 3.5547v6.8633h-0.05078c-0.40533-0.66867-0.96254-1.1715-1.6719-1.5059-0.69244-0.35193-1.4282-0.52734-2.2051-0.52734-0.96267 0-1.807 0.2027-2.5332 0.60742-0.72622 0.38713-1.3344 0.90556-1.8242 1.5566-0.47289 0.65108-0.83456 1.4092-1.0879 2.2715-0.23644 0.84464-0.35547 1.7236-0.35547 2.6387 0 0.95022 0.11902 1.8643 0.35547 2.7441 0.25333 0.87983 0.615 1.6633 1.0879 2.3496 0.48978 0.66867 1.1065 1.2066 1.8496 1.6113 0.74311 0.38713 1.6044 0.58008 2.584 0.58008 0.86133 0 1.6311-0.15787 2.3066-0.47461 0.69244-0.33434 1.2497-0.87227 1.6719-1.6113h0.05078v1.7422h3.4199v-18.846zm12.875 4.8301c-1.0302 0-1.9596 0.17541-2.7871 0.52734-0.82756 0.33434-1.5358 0.81965-2.127 1.4531-0.59111 0.61588-1.0483 1.3721-1.3691 2.2695-0.32089 0.87983-0.48047 1.866-0.48047 2.957s0.15958 2.0752 0.48047 2.9551c0.32089 0.87983 0.77803 1.6361 1.3691 2.2695 0.59111 0.61588 1.2994 1.0914 2.127 1.4258 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.0302 0 1.9596-0.16762 2.7871-0.50195 0.84444-0.33434 1.5612-0.8099 2.1523-1.4258 0.59111-0.63348 1.0483-1.3897 1.3691-2.2695 0.32089-0.87983 0.48047-1.8641 0.48047-2.9551s-0.15958-2.0772-0.48047-2.957c-0.32089-0.89743-0.77803-1.6536-1.3691-2.2695-0.59111-0.63348-1.3079-1.1188-2.1523-1.4531-0.82756-0.35193-1.7569-0.52734-2.7871-0.52734zm41.715 0c-0.912 0-1.7223 0.18516-2.4316 0.55469-0.69244 0.36953-1.2752 0.87043-1.748 1.5039-0.47289 0.61588-0.83651 1.337-1.0898 2.1641-0.23644 0.80944-0.35352 1.6553-0.35352 2.5352 0 0.93262 0.10007 1.8214 0.30273 2.666 0.21956 0.82704 0.55767 1.556 1.0137 2.1895 0.456 0.61588 1.0387 1.109 1.748 1.4785 0.70933 0.35193 1.5536 0.5293 2.5332 0.5293 0.79378 0 1.5446-0.16762 2.2539-0.50195 0.72622-0.35193 1.2834-0.88986 1.6719-1.6113h0.05078v1.7949c0.01689 0.96782-0.21071 1.7689-0.68359 2.4023-0.456 0.63348-1.1898 0.95117-2.2031 0.95117-0.64178 0-1.2075-0.14228-1.6973-0.42383-0.48978-0.26395-0.81939-0.74731-0.98828-1.4512h-3.5723c0.05067 0.77425 0.25276 1.435 0.60742 1.9805 0.37156 0.56309 0.8287 1.0192 1.3691 1.3711 0.55733 0.35193 1.1656 0.60726 1.8242 0.76562 0.67556 0.17597 1.3328 0.26562 1.9746 0.26562 1.5031 0 2.7025-0.21245 3.5977-0.63477 0.89511-0.42232 1.5798-0.94076 2.0527-1.5566 0.47289-0.59829 0.777-1.2493 0.91211-1.9531 0.152-0.70386 0.22656-1.3295 0.22656-1.875v-12.775h-3.4199v1.8223h-0.05078c-0.43911-0.79185-0.98782-1.3551-1.6465-1.6895-0.64178-0.33434-1.3926-0.50195-2.2539-0.50195zm16.523 0c-0.99644 0-1.9088 0.18516-2.7363 0.55469-0.81067 0.36953-1.5124 0.88017-2.1035 1.5312-0.59111 0.63348-1.0463 1.3897-1.3672 2.2695s-0.48047 1.831-0.48047 2.8516c0 1.0558 0.15108 2.0225 0.45508 2.9023 0.32089 0.87983 0.76758 1.6361 1.3418 2.2695 0.57422 0.63348 1.276 1.1266 2.1035 1.4785 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.4862 0 2.7517-0.35278 3.7988-1.0566 1.0471-0.70386 1.8254-1.8733 2.332-3.5098h-3.168c-0.11822 0.42232-0.43934 0.82772-0.96289 1.2148-0.52355 0.36953-1.1468 0.55274-1.873 0.55273-1.0133 0-1.7916-0.27286-2.332-0.81836-0.54044-0.5455-0.83605-1.4245-0.88672-2.6387h9.4492c0.06756-1.0558-0.01551-2.0673-0.25195-3.0352-0.23644-0.96782-0.62557-1.8293-1.166-2.5859-0.52356-0.75666-1.1998-1.355-2.0273-1.7949-0.82756-0.45751-1.7974-0.6875-2.9121-0.6875zm16.189 0c-0.76 0-1.5023 0.18516-2.2285 0.55469-0.72622 0.35193-1.3174 0.923-1.7734 1.7148h-0.07617v-1.9004h-3.4199v13.646h3.5977v-7.1523c0-1.3901 0.21909-2.3841 0.6582-2.9824 0.43911-0.61588 1.1494-0.92383 2.1289-0.92383 0.86133 0 1.461 0.28066 1.7988 0.84375 0.33778 0.5455 0.50586 1.3816 0.50586 2.5078v7.707h3.5977v-8.3926c0-0.84464-0.0765-1.6106-0.22852-2.2969-0.13511-0.70387-0.3797-1.2925-0.73437-1.7676-0.35466-0.49271-0.84386-0.87277-1.4688-1.1367-0.608-0.28155-1.3948-0.42188-2.3574-0.42188zm-66.062 0.36914 4.3066 6.4668-4.7129 7.1797h4.0293l2.7363-4.3027 2.7344 4.3027h4.1055l-4.8398-7.2578 4.3066-6.3887h-3.9766l-2.2793 3.5645-2.3066-3.5645zm13.275 0 4.584 12.803c0.10133 0.26395 0.15234 0.54461 0.15234 0.84375 0 0.40472-0.11707 0.77504-0.35352 1.1094-0.21956 0.33434-0.56617 0.52729-1.0391 0.58008-0.35467 0.0176-0.70979 0.0098-1.0645-0.02539-0.35467-0.03519-0.70128-0.07027-1.0391-0.10547v3.0879c0.37156 0.03519 0.73518 0.06052 1.0898 0.07813 0.37156 0.03519 0.74368 0.05273 1.1152 0.05273 1.2329 0 2.1943-0.23778 2.8867-0.71289 0.69244-0.47511 1.2326-1.2664 1.6211-2.375l5.4727-15.336h-3.7246l-2.8613 9.3437h-0.05078l-2.9648-9.3437zm-37.48 2.4551c0.59111 0 1.0823 0.12279 1.4707 0.36914s0.6991 0.57184 0.93555 0.97656c0.25333 0.38713 0.43187 0.84515 0.5332 1.373 0.10133 0.5103 0.15234 1.0482 0.15234 1.6113 0 0.56309-0.05101 1.1069-0.15234 1.6348-0.10133 0.5279-0.27137 1.0035-0.50781 1.4258-0.23644 0.40472-0.5556 0.73021-0.96094 0.97656-0.38844 0.24635-0.87959 0.36914-1.4707 0.36914-0.55733 0-1.038-0.12279-1.4434-0.36914-0.38844-0.26395-0.71806-0.59723-0.98828-1.002-0.25333-0.42232-0.43842-0.89788-0.55664-1.4258s-0.17773-1.0561-0.17773-1.584c-1e-7 -0.56309 0.05101-1.0991 0.15234-1.6094 0.11822-0.5279 0.29481-0.99567 0.53125-1.4004 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.24635 0.90303-0.36914 1.4941-0.36914zm15.84 0c0.608 0 1.1142 0.13254 1.5195 0.39648 0.42222 0.24635 0.75184 0.57184 0.98828 0.97656 0.25333 0.40472 0.42992 0.87054 0.53125 1.3984 0.10133 0.5279 0.15234 1.0658 0.15234 1.6113 0 0.5455-0.05101 1.0815-0.15234 1.6094-0.10133 0.5103-0.27792 0.97612-0.53125 1.3984-0.23644 0.40472-0.56606 0.73021-0.98828 0.97656-0.40533 0.24635-0.91153 0.36914-1.5195 0.36914-0.608 0-1.1142-0.12279-1.5195-0.36914s-0.73495-0.57184-0.98828-0.97656c-0.23644-0.42232-0.40648-0.88813-0.50781-1.3984-0.10133-0.5279-0.15234-1.0639-0.15234-1.6094 0-0.5455 0.05101-1.0834 0.15234-1.6113 0.10133-0.5279 0.27137-0.99371 0.50781-1.3984 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.26395 0.91153-0.39648 1.5195-0.39648zm42.602 0c0.59111 0 1.0803 0.11499 1.4688 0.34375 0.38844 0.22876 0.70106 0.5367 0.9375 0.92383 0.23644 0.38713 0.40648 0.8354 0.50781 1.3457 0.10133 0.49271 0.15039 1.0209 0.15039 1.584 0 0.49271-0.06606 0.96827-0.20117 1.4258-0.11822 0.43992-0.30526 0.83557-0.55859 1.1875-0.25333 0.35193-0.57445 0.63259-0.96289 0.84375-0.38844 0.21116-0.83513 0.31836-1.3418 0.31836-0.55733 0-1.021-0.12474-1.3926-0.37109-0.37156-0.24635-0.67566-0.56209-0.91211-0.94922-0.21956-0.38713-0.38109-0.81786-0.48242-1.293-0.08444-0.49271-0.12695-0.98581-0.12695-1.4785 0-0.5103 0.05101-0.99366 0.15234-1.4512 0.11822-0.47511 0.29676-0.89026 0.5332-1.2422 0.25333-0.36953 0.55744-0.65993 0.91211-0.87109 0.37156-0.21116 0.80974-0.31641 1.3164-0.31641zm15.535 0c0.87822 0 1.529 0.24753 1.9512 0.74024 0.43911 0.49271 0.74322 1.2138 0.91211 2.1641h-5.8535c0.01689-0.26395 0.0679-0.5641 0.15234-0.89844 0.10133-0.33434 0.26287-0.65008 0.48242-0.94922 0.23644-0.29914 0.54055-0.54667 0.91211-0.74023 0.38845-0.21116 0.86914-0.31641 1.4434-0.31641z" fill="url(#e)" stroke="#4665A2" stroke-width=".7"/>
+  <path d="m52.988 27.291c0.99602-1.0359 1.3944-1.8725 1.7928-3.1076l3.8247-0.03984c0.3113 1.6096 0.82413 2.5137 1.6335 3.1474z" fill="url(#b)" stroke="#000" stroke-width=".5"/>
+  <path d="m73.89 24.04 28.885-0.2011-0.12476 3.3879-31.033 0.16229c1.2621-1.0234 1.9665-2.2859 2.2724-3.3491z" fill="url(#c)" stroke="#000" stroke-width=".41788"/>
+ </g>
+</svg>
diff --git a/docs/manual/doxygen_crawl.html b/docs/manual/doxygen_crawl.html
new file mode 100644
index 0000000..4a3b72e
--- /dev/null
+++ b/docs/manual/doxygen_crawl.html
@@ -0,0 +1,163 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<title>Validator / crawler helper</title>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+</head>
+<body>
+<a href="_base_classifier_8h_source.html"/>
+<a href="_classifier_8cc_source.html"/>
+<a href="_classifier_8h_source.html"/>
+<a href="_k_d_b_8cc_source.html"/>
+<a href="_k_d_b_8h_source.html"/>
+<a href="_k_d_b_ld_8cc_source.html"/>
+<a href="_k_d_b_ld_8h_source.html"/>
+<a href="_proposal_8cc_source.html"/>
+<a href="_proposal_8h_source.html"/>
+<a href="_s_pn_d_e_8cc_source.html"/>
+<a href="_s_pn_d_e_8h_source.html"/>
+<a href="_s_p_o_d_e_8cc_source.html"/>
+<a href="_s_p_o_d_e_8h_source.html"/>
+<a href="_s_p_o_d_e_ld_8cc_source.html"/>
+<a href="_s_p_o_d_e_ld_8h_source.html"/>
+<a href="_t_a_n_8cc_source.html"/>
+<a href="_t_a_n_8h_source.html"/>
+<a href="_t_a_n_ld_8cc_source.html"/>
+<a href="_t_a_n_ld_8h_source.html"/>
+<a href="_a2_d_e_8cc_source.html"/>
+<a href="_a2_d_e_8h_source.html"/>
+<a href="_a_o_d_e_8cc_source.html"/>
+<a href="_a_o_d_e_8h_source.html"/>
+<a href="_a_o_d_e_ld_8cc_source.html"/>
+<a href="_a_o_d_e_ld_8h_source.html"/>
+<a href="_boost_8cc_source.html"/>
+<a href="_boost_8h_source.html"/>
+<a href="_boost_a2_d_e_8cc_source.html"/>
+<a href="_boost_a2_d_e_8h_source.html"/>
+<a href="_boost_a_o_d_e_8cc_source.html"/>
+<a href="_boost_a_o_d_e_8h_source.html"/>
+<a href="_ensemble_8cc_source.html"/>
+<a href="_ensemble_8h_source.html"/>
+<a href="_network_8cc_source.html"/>
+<a href="_network_8h_source.html"/>
+<a href="_node_8cc_source.html"/>
+<a href="_node_8h_source.html"/>
+<a href="classbayesnet_1_1_a2_d_e.html"/>
+<a href="classbayesnet_1_1_a2_d_e-members.html"/>
+<a href="classbayesnet_1_1_a_o_d_e.html"/>
+<a href="classbayesnet_1_1_a_o_d_e-members.html"/>
+<a href="classbayesnet_1_1_a_o_d_e_ld.html"/>
+<a href="classbayesnet_1_1_a_o_d_e_ld-members.html"/>
+<a href="classbayesnet_1_1_base_classifier.html"/>
+<a href="classbayesnet_1_1_base_classifier-members.html"/>
+<a href="classbayesnet_1_1_boost.html"/>
+<a href="classbayesnet_1_1_boost-members.html"/>
+<a href="classbayesnet_1_1_boost_a2_d_e.html"/>
+<a href="classbayesnet_1_1_boost_a2_d_e-members.html"/>
+<a href="classbayesnet_1_1_boost_a_o_d_e.html"/>
+<a href="classbayesnet_1_1_boost_a_o_d_e-members.html"/>
+<a href="classbayesnet_1_1_classifier.html"/>
+<a href="classbayesnet_1_1_classifier-members.html"/>
+<a href="classbayesnet_1_1_ensemble.html"/>
+<a href="classbayesnet_1_1_ensemble-members.html"/>
+<a href="classbayesnet_1_1_k_d_b.html"/>
+<a href="classbayesnet_1_1_k_d_b-members.html"/>
+<a href="classbayesnet_1_1_k_d_b_ld.html"/>
+<a href="classbayesnet_1_1_k_d_b_ld-members.html"/>
+<a href="classbayesnet_1_1_network.html"/>
+<a href="classbayesnet_1_1_network-members.html"/>
+<a href="classbayesnet_1_1_node.html"/>
+<a href="classbayesnet_1_1_node-members.html"/>
+<a href="classbayesnet_1_1_proposal.html"/>
+<a href="classbayesnet_1_1_proposal-members.html"/>
+<a href="classbayesnet_1_1_s_pn_d_e.html"/>
+<a href="classbayesnet_1_1_s_pn_d_e-members.html"/>
+<a href="classbayesnet_1_1_s_p_o_d_e.html"/>
+<a href="classbayesnet_1_1_s_p_o_d_e-members.html"/>
+<a href="classbayesnet_1_1_s_p_o_d_e_ld.html"/>
+<a href="classbayesnet_1_1_s_p_o_d_e_ld-members.html"/>
+<a href="classbayesnet_1_1_t_a_n.html"/>
+<a href="classbayesnet_1_1_t_a_n-members.html"/>
+<a href="classbayesnet_1_1_t_a_n_ld.html"/>
+<a href="classbayesnet_1_1_t_a_n_ld-members.html"/>
+<a href="graph_legend.html"/>
+<a href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html"/>
+<a href="dir_520a649ed2b1c3b658a695aeefe46a5a.html"/>
+<a href="dir_2f68445c4ac4316280c650d0a13b2741.html"/>
+<a href="dir_efcd97b18bba957e8e278307db4f845a.html"/>
+<a href="index.html"/>
+<a href="doxygen_crawl.html"/>
+<a href="annotated.html"/>
+<a href="classes.html"/>
+<a href="hierarchy.html"/>
+<a href="inherits.html"/>
+<a href="files.html"/>
+<a href="_a2_d_e_8cc_source.html"/>
+<a href="_a2_d_e_8h_source.html"/>
+<a href="_a_o_d_e_8cc_source.html"/>
+<a href="_a_o_d_e_8h_source.html"/>
+<a href="_a_o_d_e_ld_8cc_source.html"/>
+<a href="_a_o_d_e_ld_8h_source.html"/>
+<a href="_base_classifier_8h_source.html"/>
+<a href="_boost_8cc_source.html"/>
+<a href="_boost_8h_source.html"/>
+<a href="_boost_a2_d_e_8cc_source.html"/>
+<a href="_boost_a2_d_e_8h_source.html"/>
+<a href="_boost_a_o_d_e_8cc_source.html"/>
+<a href="_boost_a_o_d_e_8h_source.html"/>
+<a href="_classifier_8cc_source.html"/>
+<a href="_classifier_8h_source.html"/>
+<a href="_ensemble_8cc_source.html"/>
+<a href="_ensemble_8h_source.html"/>
+<a href="_k_d_b_8cc_source.html"/>
+<a href="_k_d_b_8h_source.html"/>
+<a href="_k_d_b_ld_8cc_source.html"/>
+<a href="_k_d_b_ld_8h_source.html"/>
+<a href="_network_8cc_source.html"/>
+<a href="_network_8h_source.html"/>
+<a href="_node_8cc_source.html"/>
+<a href="_node_8h_source.html"/>
+<a href="_proposal_8cc_source.html"/>
+<a href="_proposal_8h_source.html"/>
+<a href="_s_p_o_d_e_8cc_source.html"/>
+<a href="_s_p_o_d_e_8h_source.html"/>
+<a href="_s_p_o_d_e_ld_8cc_source.html"/>
+<a href="_s_p_o_d_e_ld_8h_source.html"/>
+<a href="_s_pn_d_e_8cc_source.html"/>
+<a href="_s_pn_d_e_8h_source.html"/>
+<a href="_t_a_n_8cc_source.html"/>
+<a href="_t_a_n_8h_source.html"/>
+<a href="_t_a_n_ld_8cc_source.html"/>
+<a href="_t_a_n_ld_8h_source.html"/>
+<a href="annotated.html"/>
+<a href="classbayesnet_1_1_a2_d_e.html"/>
+<a href="classbayesnet_1_1_a_o_d_e.html"/>
+<a href="classbayesnet_1_1_a_o_d_e_ld.html"/>
+<a href="classbayesnet_1_1_base_classifier.html"/>
+<a href="classbayesnet_1_1_boost.html"/>
+<a href="classbayesnet_1_1_boost_a2_d_e.html"/>
+<a href="classbayesnet_1_1_boost_a_o_d_e.html"/>
+<a href="classbayesnet_1_1_classifier.html"/>
+<a href="classbayesnet_1_1_ensemble.html"/>
+<a href="classbayesnet_1_1_k_d_b.html"/>
+<a href="classbayesnet_1_1_k_d_b_ld.html"/>
+<a href="classbayesnet_1_1_network.html"/>
+<a href="classbayesnet_1_1_node.html"/>
+<a href="classbayesnet_1_1_proposal.html"/>
+<a href="classbayesnet_1_1_s_p_o_d_e.html"/>
+<a href="classbayesnet_1_1_s_p_o_d_e_ld.html"/>
+<a href="classbayesnet_1_1_s_pn_d_e.html"/>
+<a href="classbayesnet_1_1_t_a_n.html"/>
+<a href="classbayesnet_1_1_t_a_n_ld.html"/>
+<a href="classes.html"/>
+<a href="dir_2f68445c4ac4316280c650d0a13b2741.html"/>
+<a href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html"/>
+<a href="dir_520a649ed2b1c3b658a695aeefe46a5a.html"/>
+<a href="dir_efcd97b18bba957e8e278307db4f845a.html"/>
+<a href="files.html"/>
+<a href="hierarchy.html"/>
+</body>
+</html>
diff --git a/docs/manual/dynsections.js b/docs/manual/dynsections.js
new file mode 100644
index 0000000..8985f42
--- /dev/null
+++ b/docs/manual/dynsections.js
@@ -0,0 +1,205 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+ */
+
+function toggleVisibility(linkObj) {
+  return dynsection.toggleVisibility(linkObj);
+}
+
+let dynsection = {
+
+  // helper function
+  updateStripes : function() {
+    $('table.directory tr').
+      removeClass('even').filter(':visible:even').addClass('even');
+    $('table.directory tr').
+      removeClass('odd').filter(':visible:odd').addClass('odd');
+  },
+
+  toggleVisibility : function(linkObj) {
+    const base = $(linkObj).attr('id');
+    const summary = $('#'+base+'-summary');
+    const content = $('#'+base+'-content');
+    const trigger = $('#'+base+'-trigger');
+    const src=$(trigger).attr('src');
+    if (content.is(':visible')===true) {
+      content.hide();
+      summary.show();
+      $(linkObj).addClass('closed').removeClass('opened');
+      $(trigger).attr('src',src.substring(0,src.length-8)+'closed.png');
+    } else {
+      content.show();
+      summary.hide();
+      $(linkObj).removeClass('closed').addClass('opened');
+      $(trigger).attr('src',src.substring(0,src.length-10)+'open.png');
+    }
+    return false;
+  },
+
+  toggleLevel : function(level) {
+    $('table.directory tr').each(function() {
+      const l = this.id.split('_').length-1;
+      const i = $('#img'+this.id.substring(3));
+      const a = $('#arr'+this.id.substring(3));
+      if (l<level+1) {
+        i.removeClass('iconfopen iconfclosed').addClass('iconfopen');
+        a.html('&#9660;');
+        $(this).show();
+      } else if (l==level+1) {
+        i.removeClass('iconfclosed iconfopen').addClass('iconfclosed');
+        a.html('&#9658;');
+        $(this).show();
+      } else {
+        $(this).hide();
+      }
+    });
+    this.updateStripes();
+  },
+
+  toggleFolder : function(id) {
+    // the clicked row
+    const currentRow = $('#row_'+id);
+
+    // all rows after the clicked row
+    const rows = currentRow.nextAll("tr");
+
+    const re = new RegExp('^row_'+id+'\\d+_$', "i"); //only one sub
+
+    // only match elements AFTER this one (can't hide elements before)
+    const childRows = rows.filter(function() { return this.id.match(re); });
+
+    // first row is visible we are HIDING
+    if (childRows.filter(':first').is(':visible')===true) {
+      // replace down arrow by right arrow for current row
+      const currentRowSpans = currentRow.find("span");
+      currentRowSpans.filter(".iconfopen").removeClass("iconfopen").addClass("iconfclosed");
+      currentRowSpans.filter(".arrow").html('&#9658;');
+      rows.filter("[id^=row_"+id+"]").hide(); // hide all children
+    } else { // we are SHOWING
+      // replace right arrow by down arrow for current row
+      const currentRowSpans = currentRow.find("span");
+      currentRowSpans.filter(".iconfclosed").removeClass("iconfclosed").addClass("iconfopen");
+      currentRowSpans.filter(".arrow").html('&#9660;');
+      // replace down arrows by right arrows for child rows
+      const childRowsSpans = childRows.find("span");
+      childRowsSpans.filter(".iconfopen").removeClass("iconfopen").addClass("iconfclosed");
+      childRowsSpans.filter(".arrow").html('&#9658;');
+      childRows.show(); //show all children
+    }
+    this.updateStripes();
+  },
+
+  toggleInherit : function(id) {
+    const rows = $('tr.inherit.'+id);
+    const img = $('tr.inherit_header.'+id+' img');
+    const src = $(img).attr('src');
+    if (rows.filter(':first').is(':visible')===true) {
+      rows.css('display','none');
+      $(img).attr('src',src.substring(0,src.length-8)+'closed.png');
+    } else {
+      rows.css('display','table-row'); // using show() causes jump in firefox
+      $(img).attr('src',src.substring(0,src.length-10)+'open.png');
+    }
+  },
+};
+
+let codefold = {
+  opened : true,
+
+  // in case HTML_COLORSTYLE is LIGHT or DARK the vars will be replaced, so we write them out explicitly and use double quotes
+  plusImg:  [ "var(--fold-plus-image)",  "var(--fold-plus-image-relpath)" ],
+  minusImg: [ "var(--fold-minus-image)", "var(--fold-minus-image-relpath)" ],
+
+  // toggle all folding blocks
+  toggle_all : function(relPath) {
+    if (this.opened) {
+      $('#fold_all').css('background-image',this.plusImg[relPath]);
+      $('div[id^=foldopen]').hide();
+      $('div[id^=foldclosed]').show();
+    } else {
+      $('#fold_all').css('background-image',this.minusImg[relPath]);
+      $('div[id^=foldopen]').show();
+      $('div[id^=foldclosed]').hide();
+    }
+    this.opened=!this.opened;
+  },
+
+  // toggle single folding block
+  toggle : function(id) {
+    $('#foldopen'+id).toggle();
+    $('#foldclosed'+id).toggle();
+  },
+
+  init : function(relPath) {
+    $('span[class=lineno]').css({
+      'padding-right':'4px',
+      'margin-right':'2px',
+      'display':'inline-block',
+      'width':'54px',
+      'background':'linear-gradient(var(--fold-line-color),var(--fold-line-color)) no-repeat 46px/2px 100%'
+    });
+    // add global toggle to first line
+    $('span[class=lineno]:first').append('<span class="fold" id="fold_all" '+
+      'onclick="javascript:codefold.toggle_all('+relPath+');" '+
+      'style="background-image:'+this.minusImg[relPath]+';"></span>');
+    // add vertical lines to other rows
+    $('span[class=lineno]').not(':eq(0)').append('<span class="fold"></span>');
+    // add toggle controls to lines with fold divs
+    $('div[class=foldopen]').each(function() {
+      // extract specific id to use
+      const id    = $(this).attr('id').replace('foldopen','');
+      // extract start and end foldable fragment attributes
+      const start = $(this).attr('data-start');
+      const end   = $(this).attr('data-end');
+      // replace normal fold span with controls for the first line of a foldable fragment
+      $(this).find('span[class=fold]:first').replaceWith('<span class="fold" '+
+                   'onclick="javascript:codefold.toggle(\''+id+'\');" '+
+                   'style="background-image:'+codefold.minusImg[relPath]+';"></span>');
+      // append div for folded (closed) representation
+      $(this).after('<div id="foldclosed'+id+'" class="foldclosed" style="display:none;"></div>');
+      // extract the first line from the "open" section to represent closed content
+      const line = $(this).children().first().clone();
+      // remove any glow that might still be active on the original line
+      $(line).removeClass('glow');
+      if (start) {
+        // if line already ends with a start marker (e.g. trailing {), remove it
+        $(line).html($(line).html().replace(new RegExp('\\s*'+start+'\\s*$','g'),''));
+      }
+      // replace minus with plus symbol
+      $(line).find('span[class=fold]').css('background-image',codefold.plusImg[relPath]);
+      // append ellipsis
+      $(line).append(' '+start+'<a href="javascript:codefold.toggle(\''+id+'\')">&#8230;</a>'+end);
+      // insert constructed line into closed div
+      $('#foldclosed'+id).html(line);
+    });
+  },
+};
+/* @license-end */
+$(function() {
+  $('.code,.codeRef').each(function() {
+    $(this).data('powertip',$('#a'+$(this).attr('href').replace(/.*\//,'').replace(/[^a-z_A-Z0-9]/g,'_')).html());
+    $.fn.powerTip.smartPlacementLists.s = [ 's', 'n', 'ne', 'se' ];
+    $(this).powerTip({ placement: 's', smartPlacement: true, mouseOnToPopup: true });
+  });
+});
diff --git a/docs/manual/files.html b/docs/manual/files.html
new file mode 100644
index 0000000..00e561b
--- /dev/null
+++ b/docs/manual/files.html
@@ -0,0 +1,158 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: File List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('files.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">File List</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock">Here is a list of all documented files with brief descriptions:</div><div class="directory">
+<div class="levels">[detail level <span onclick="javascript:dynsection.toggleLevel(1);">1</span><span onclick="javascript:dynsection.toggleLevel(2);">2</span><span onclick="javascript:dynsection.toggleLevel(3);">3</span>]</div><table class="directory">
+<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="dynsection.toggleFolder('0_')">&#9660;</span><span id="img_0_" class="iconfopen" onclick="dynsection.toggleFolder('0_')">&#160;</span><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" target="_self">bayesnet</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_0_" class="arrow" onclick="dynsection.toggleFolder('0_0_')">&#9660;</span><span id="img_0_0_" class="iconfopen" onclick="dynsection.toggleFolder('0_0_')">&#160;</span><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html" target="_self">classifiers</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_classifier_8cc_source.html"><span class="icondoc"></span></a><b>Classifier.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_1_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_classifier_8h_source.html"><span class="icondoc"></span></a><b>Classifier.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_8cc_source.html"><span class="icondoc"></span></a><b>KDB.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_3_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_8h_source.html"><span class="icondoc"></span></a><b>KDB.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_4_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_ld_8cc_source.html"><span class="icondoc"></span></a><b>KDBLd.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_5_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_ld_8h_source.html"><span class="icondoc"></span></a><b>KDBLd.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_6_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_proposal_8cc_source.html"><span class="icondoc"></span></a><b>Proposal.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_7_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_proposal_8h_source.html"><span class="icondoc"></span></a><b>Proposal.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_8_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_pn_d_e_8cc_source.html"><span class="icondoc"></span></a><b>SPnDE.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_9_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_pn_d_e_8h_source.html"><span class="icondoc"></span></a><b>SPnDE.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_10_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_8cc_source.html"><span class="icondoc"></span></a><b>SPODE.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_11_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_8h_source.html"><span class="icondoc"></span></a><b>SPODE.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_12_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a><b>SPODELd.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_13_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a><b>SPODELd.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_14_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_8cc_source.html"><span class="icondoc"></span></a><b>TAN.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_15_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_8h_source.html"><span class="icondoc"></span></a><b>TAN.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_16_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_ld_8cc_source.html"><span class="icondoc"></span></a><b>TANLd.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_0_17_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_ld_8h_source.html"><span class="icondoc"></span></a><b>TANLd.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_" class="even"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_1_" class="arrow" onclick="dynsection.toggleFolder('0_1_')">&#9660;</span><span id="img_0_1_" class="iconfopen" onclick="dynsection.toggleFolder('0_1_')">&#160;</span><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html" target="_self">ensembles</a></td><td class="desc"></td></tr>
+<tr id="row_0_1_0_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a2_d_e_8cc_source.html"><span class="icondoc"></span></a><b>A2DE.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_1_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a2_d_e_8h_source.html"><span class="icondoc"></span></a><b>A2DE.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_2_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a><b>AODE.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_3_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_8h_source.html"><span class="icondoc"></span></a><b>AODE.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_4_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a><b>AODELd.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_5_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a><b>AODELd.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_6_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_8cc_source.html"><span class="icondoc"></span></a><b>Boost.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_7_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_8h_source.html"><span class="icondoc"></span></a><b>Boost.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_8_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a2_d_e_8cc_source.html"><span class="icondoc"></span></a><b>BoostA2DE.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_9_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a2_d_e_8h_source.html"><span class="icondoc"></span></a><b>BoostA2DE.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_10_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a><b>BoostAODE.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_11_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a_o_d_e_8h_source.html"><span class="icondoc"></span></a><b>BoostAODE.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_12_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_ensemble_8cc_source.html"><span class="icondoc"></span></a><b>Ensemble.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_1_13_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_ensemble_8h_source.html"><span class="icondoc"></span></a><b>Ensemble.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_2_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_2_" class="arrow" onclick="dynsection.toggleFolder('0_2_')">&#9660;</span><span id="img_0_2_" class="iconfopen" onclick="dynsection.toggleFolder('0_2_')">&#160;</span><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html" target="_self">network</a></td><td class="desc"></td></tr>
+<tr id="row_0_2_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_network_8cc_source.html"><span class="icondoc"></span></a><b>Network.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_2_1_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_network_8h_source.html"><span class="icondoc"></span></a><b>Network.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_2_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_node_8cc_source.html"><span class="icondoc"></span></a><b>Node.cc</b></td><td class="desc"></td></tr>
+<tr id="row_0_2_3_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_node_8h_source.html"><span class="icondoc"></span></a><b>Node.h</b></td><td class="desc"></td></tr>
+<tr id="row_0_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><a href="_base_classifier_8h_source.html"><span class="icondoc"></span></a><b>BaseClassifier.h</b></td><td class="desc"></td></tr>
+</table>
+</div><!-- directory -->
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/files_dup.js b/docs/manual/files_dup.js
new file mode 100644
index 0000000..3a9b985
--- /dev/null
+++ b/docs/manual/files_dup.js
@@ -0,0 +1,4 @@
+var files_dup =
+[
+    [ "bayesnet", "dir_40070fdff85d618b4d1d3ab4ac4f79bb.html", "dir_40070fdff85d618b4d1d3ab4ac4f79bb" ]
+];
\ No newline at end of file
diff --git a/docs/manual/folderclosed.svg b/docs/manual/folderclosed.svg
new file mode 100644
index 0000000..b04bed2
--- /dev/null
+++ b/docs/manual/folderclosed.svg
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#4665A2;">
+<path d="M1,5.998l-0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm2,-0l-0,16.002c-0,0.796 0.316,1.559 0.879,2.121c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121c0,-3.486 0,-8.514 0,-12c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998Z"/>
+</g>
+<g style="fill:#D8DFEE;stroke-width:0;">
+<path d="M 5.6063709,24.951908 C 4.3924646,24.775461 3.4197129,23.899792 3.1031586,22.698521 L 3.0216155,22.389078 V 13.997725 5.6063709 L 3.1037477,5.2982247 C 3.3956682,4.2029881 4.1802788,3.412126 5.2787258,3.105917 5.5646428,3.0262132 5.6154982,3.0244963 8.0611641,3.0119829 l 2.4911989,-0.012746 1.932009,1.9300342 c 1.344142,1.3427669 1.976319,1.9498819 2.07763,1.9952626 0.137456,0.061571 0.474218,0.066269 6.006826,0.083795 l 5.861206,0.018568 0.29124,0.081916 c 1.094895,0.3079569 1.890116,1.109428 2.175567,2.192667 l 0.08154,0.3094425 V 16 22.389078 l -0.08154,0.309443 c -0.28446,1.079482 -1.086411,1.888085 -2.175567,2.193614 l -0.29124,0.0817 -10.302616,0.0049 c -5.700217,0.0027 -10.4001945,-0.0093 -10.5210471,-0.02684 z"/>
+</g>
+</svg>
diff --git a/docs/manual/folderclosedd.svg b/docs/manual/folderclosedd.svg
new file mode 100644
index 0000000..52f0166
--- /dev/null
+++ b/docs/manual/folderclosedd.svg
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#C4CFE5;">
+<path d="M1,5.998l-0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm2,-0l-0,16.002c-0,0.796 0.316,1.559 0.879,2.121c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121c0,-3.486 0,-8.514 0,-12c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998Z"/>
+</g>
+<g style="fill:#4665A2;stroke-width:0;">
+<path d="M 5.6063709,24.951908 C 4.3924646,24.775461 3.4197129,23.899792 3.1031586,22.698521 L 3.0216155,22.389078 V 13.997725 5.6063709 L 3.1037477,5.2982247 C 3.3956682,4.2029881 4.1802788,3.412126 5.2787258,3.105917 5.5646428,3.0262132 5.6154982,3.0244963 8.0611641,3.0119829 l 2.4911989,-0.012746 1.932009,1.9300342 c 1.344142,1.3427669 1.976319,1.9498819 2.07763,1.9952626 0.137456,0.061571 0.474218,0.066269 6.006826,0.083795 l 5.861206,0.018568 0.29124,0.081916 c 1.094895,0.3079569 1.890116,1.109428 2.175567,2.192667 l 0.08154,0.3094425 V 16 22.389078 l -0.08154,0.309443 c -0.28446,1.079482 -1.086411,1.888085 -2.175567,2.193614 l -0.29124,0.0817 -10.302616,0.0049 c -5.700217,0.0027 -10.4001945,-0.0093 -10.5210471,-0.02684 z"/>
+</g>
+</svg>
diff --git a/docs/manual/folderopen.svg b/docs/manual/folderopen.svg
new file mode 100644
index 0000000..f6896dd
--- /dev/null
+++ b/docs/manual/folderopen.svg
@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#4665A2;">
+<path
+   d="M1,5.998l0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm28,14.415l-3.456,-5.925c-0.538,-0.921 -1.524,-1.488 -2.591,-1.488c-0,0 -12.905,0 -12.906,0c-1.067,0 -2.053,0.567 -2.591,1.488l-4.453,7.635c0.03,0.751 0.342,1.465 0.876,1.998c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121l0,-1.587Zm0,-3.969l0,-6.444c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998l0,12.16l2.729,-4.677c0.896,-1.536 2.54,-2.481 4.318,-2.481c3.354,0 9.552,0 12.906,0c1.778,0 3.422,0.945 4.318,2.481l1.729,2.963Z"
+   id="path2" />
+</g>
+<g style="fill:#D8DFEE;stroke-width:0;">
+<path
+   d="M 5.3879408,24.913408 C 4.1598821,24.650818 3.1571088,23.558656 3.053503,22.370876 L 3.0312746,22.116041 5.2606813,18.293515 C 6.486855,16.191126 7.5598351,14.372696 7.6450818,14.25256 8.0043056,13.746312 8.5423079,13.363007 9.2104664,13.137285 l 0.2548351,-0.08609 6.9294785,-0.0097 c 6.805096,-0.0095 6.934944,-0.0084 7.234011,0.06267 0.695577,0.165199 1.290483,0.557253 1.714887,1.130141 0.08158,0.110125 0.938747,1.556711 1.90481,3.214634 l 1.756479,3.014406 -0.0186,0.971942 c -0.01387,0.724723 -0.03365,1.032131 -0.07778,1.208575 -0.242792,0.970733 -0.88732,1.735415 -1.772382,2.102793 -0.58835,0.244217 0.247209,0.227436 -11.161974,0.224159 -9.0281537,-0.0026 -10.3636023,-0.0098 -10.5862902,-0.05746 z"
+   id="path199" /><path
+   d="M 3.0126385,11.849829 3.0235061,5.5881684 3.1020974,5.2969283 C 3.3478146,4.3863605 3.93576,3.6757372 4.756668,3.2971229 5.3293315,3.0330025 5.1813272,3.0450949 8.0130385,3.0310668 l 2.5522875,-0.012644 1.918693,1.9107086 c 1.404146,1.3983023 1.964459,1.9332518 2.089351,1.9947704 l 0.170657,0.084062 5.897611,0.019367 c 5.553257,0.018236 5.910365,0.023213 6.116041,0.085231 1.102257,0.3323708 1.857042,1.1184422 2.154229,2.2435244 0.05645,0.2137228 0.06373,0.5643981 0.07519,3.6220748 0.0076,2.032169 -5.42e-4,3.370979 -0.02041,3.349261 -0.0182,-0.0199 -0.414296,-0.691472 -0.880217,-1.492382 -0.46592,-0.80091 -0.93093,-1.577954 -1.033354,-1.726764 -0.735716,-1.0689 -1.983568,-1.844244 -3.315972,-2.060353 -0.280375,-0.04548 -1.345158,-0.05334 -7.238708,-0.05347 -4.713933,-1.09e-4 -6.9931825,0.01221 -7.1717862,0.03874 -1.3002273,0.193134 -2.4770512,0.889916 -3.283628,1.944192 -0.1076466,0.140705 -0.8359664,1.353438 -1.6184885,2.694963 L 3.0017709,18.11149 Z"
+   id="path201" />
+</g>
+</svg>
diff --git a/docs/manual/folderopend.svg b/docs/manual/folderopend.svg
new file mode 100644
index 0000000..2d1f06e
--- /dev/null
+++ b/docs/manual/folderopend.svg
@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
+<g style="fill:#C4CFE5;">
+<path d="M1,5.998l0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm28,14.415l-3.456,-5.925c-0.538,-0.921 -1.524,-1.488 -2.591,-1.488c-0,0 -12.905,0 -12.906,0c-1.067,0 -2.053,0.567 -2.591,1.488l-4.453,7.635c0.03,0.751 0.342,1.465 0.876,1.998c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121l0,-1.587Zm0,-3.969l0,-6.444c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998l0,12.16l2.729,-4.677c0.896,-1.536 2.54,-2.481 4.318,-2.481c3.354,0 9.552,0 12.906,0c1.778,0 3.422,0.945 4.318,2.481l1.729,2.963Z"/>
+</g>
+<g style="fill:#4665A2;stroke-width:0;">
+<path d="M 5.3879408,24.913408 C 4.1598821,24.650818 3.1571088,23.558656 3.053503,22.370876 L 3.0312746,22.116041 5.2606813,18.293515 C 6.486855,16.191126 7.5598351,14.372696 7.6450818,14.25256 8.0043056,13.746312 8.5423079,13.363007 9.2104664,13.137285 l 0.2548351,-0.08609 6.9294785,-0.0097 c 6.805096,-0.0095 6.934944,-0.0084 7.234011,0.06267 0.695577,0.165199 1.290483,0.557253 1.714887,1.130141 0.08158,0.110125 0.938747,1.556711 1.90481,3.214634 l 1.756479,3.014406 -0.0186,0.971942 c -0.01387,0.724723 -0.03365,1.032131 -0.07778,1.208575 -0.242792,0.970733 -0.88732,1.735415 -1.772382,2.102793 -0.58835,0.244217 0.247209,0.227436 -11.161974,0.224159 -9.0281537,-0.0026 -10.3636023,-0.0098 -10.5862902,-0.05746 z" />
+<path d="M 3.0126385,11.849829 3.0235061,5.5881684 3.1020974,5.2969283 C 3.3478146,4.3863605 3.93576,3.6757372 4.756668,3.2971229 5.3293315,3.0330025 5.1813272,3.0450949 8.0130385,3.0310668 l 2.5522875,-0.012644 1.918693,1.9107086 c 1.404146,1.3983023 1.964459,1.9332518 2.089351,1.9947704 l 0.170657,0.084062 5.897611,0.019367 c 5.553257,0.018236 5.910365,0.023213 6.116041,0.085231 1.102257,0.3323708 1.857042,1.1184422 2.154229,2.2435244 0.05645,0.2137228 0.06373,0.5643981 0.07519,3.6220748 0.0076,2.032169 -5.42e-4,3.370979 -0.02041,3.349261 -0.0182,-0.0199 -0.414296,-0.691472 -0.880217,-1.492382 -0.46592,-0.80091 -0.93093,-1.577954 -1.033354,-1.726764 -0.735716,-1.0689 -1.983568,-1.844244 -3.315972,-2.060353 -0.280375,-0.04548 -1.345158,-0.05334 -7.238708,-0.05347 -4.713933,-1.09e-4 -6.9931825,0.01221 -7.1717862,0.03874 -1.3002273,0.193134 -2.4770512,0.889916 -3.283628,1.944192 -0.1076466,0.140705 -0.8359664,1.353438 -1.6184885,2.694963 L 3.0017709,18.11149 Z" />
+</g>
+</svg>
diff --git a/docs/manual/graph_legend.html b/docs/manual/graph_legend.html
new file mode 100644
index 0000000..46efc2c
--- /dev/null
+++ b/docs/manual/graph_legend.html
@@ -0,0 +1,173 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Graph Legend</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('graph_legend.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Graph Legend</div></div>
+</div><!--header-->
+<div class="contents">
+<p>This page explains how to interpret the graphs that are generated by doxygen.</p>
+<p>Consider the following example: </p><div class="fragment"><div class="line"><span class="comment">/*! Invisible class because of truncation */</span></div>
+<div class="line"><span class="keyword">class </span>Invisible { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! Truncated class, inheritance relation is hidden */</span></div>
+<div class="line"><span class="keyword">class </span>Truncated : <span class="keyword">public</span> Invisible { };</div>
+<div class="line"> </div>
+<div class="line"><span class="comment">/* Class not documented with doxygen comments */</span></div>
+<div class="line"><span class="keyword">class </span>Undocumented { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! Class that is inherited using public inheritance */</span></div>
+<div class="line"><span class="keyword">class </span>PublicBase : <span class="keyword">public</span> Truncated { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! A template class */</span></div>
+<div class="line"><span class="keyword">template</span>&lt;<span class="keyword">class</span> T&gt; <span class="keyword">class </span>Templ { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! Class that is inherited using protected inheritance */</span></div>
+<div class="line"><span class="keyword">class </span>ProtectedBase { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! Class that is inherited using private inheritance */</span></div>
+<div class="line"><span class="keyword">class </span>PrivateBase { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! Class that is used by the Inherited class */</span></div>
+<div class="line"><span class="keyword">class </span>Used { };</div>
+<div class="line"><span class="comment"></span> </div>
+<div class="line"><span class="comment">/*! Super class that inherits a number of other classes */</span></div>
+<div class="line"><span class="keyword">class </span>Inherited : <span class="keyword">public</span> PublicBase,</div>
+<div class="line">                  <span class="keyword">protected</span> ProtectedBase,</div>
+<div class="line">                  <span class="keyword">private</span> PrivateBase,</div>
+<div class="line">                  <span class="keyword">public</span> Undocumented,</div>
+<div class="line">                  <span class="keyword">public</span> Templ&lt;int&gt;</div>
+<div class="line">{</div>
+<div class="line">  <span class="keyword">private</span>:</div>
+<div class="line">    Used *m_usedClass;</div>
+<div class="line">};</div>
+</div><!-- fragment --><p> This will result in the following graph:</p>
+<center><img src="graph_legend.png" alt="" class="inline"/></center><p>The boxes in the above graph have the following meaning: </p>
+<ul>
+<li>
+A filled gray box represents the struct or class for which the graph is generated. </li>
+<li>
+A box with a black border denotes a documented struct or class. </li>
+<li>
+A box with a gray border denotes an undocumented struct or class. </li>
+<li>
+A box with a red border denotes a documented struct or class forwhich not all inheritance/containment relations are shown. A graph is truncated if it does not fit within the specified boundaries. </li>
+</ul>
+<p>The arrows have the following meaning: </p>
+<ul>
+<li>
+A blue arrow is used to visualize a public inheritance relation between two classes. </li>
+<li>
+A dark green arrow is used for protected inheritance. </li>
+<li>
+A dark red arrow is used for private inheritance. </li>
+<li>
+A purple dashed arrow is used if a class is contained or used by another class. The arrow is labelled with the variable(s) through which the pointed class or struct is accessible. </li>
+<li>
+A yellow dashed arrow denotes a relation between a template instance and the template class it was instantiated from. The arrow is labelled with the template parameters of the instance. </li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/graph_legend.md5 b/docs/manual/graph_legend.md5
new file mode 100644
index 0000000..da515da
--- /dev/null
+++ b/docs/manual/graph_legend.md5
@@ -0,0 +1 @@
+f74606a252eb303675caf37987d0b7af
\ No newline at end of file
diff --git a/docs/manual/graph_legend.png b/docs/manual/graph_legend.png
new file mode 100644
index 0000000000000000000000000000000000000000..9f80d23298cbb09d18a9d504e2f1a7d4f0a17cb3
GIT binary patch
literal 22891
zcmb5W1yq$$7cEK%f`o*0mq>S~Qc8m$BHi8HAl-tblypgVBi*Ugp}V{D?c@L7JKlKr
zzWc@-j)8~cIp4SU+H1`<*Ier}R8d|E?FHcr7#J9|5AVg5VPN30!0Ra_MDX(k(=r<P
z3sGN2N*v}1`sZg${&yG{a+nX|Z&h4V_ZM6|aa3=wPezmHzloARi^V|t2?s~{mD33m
zfs#gL9Ou=q_sAhQYTbV`2p<~vlpQ4`0u|%5zM<i|$GnGw3wsfQpyH0gM9Gvh@3D3B
zfN3xHp5h^P-K|Z#xi8IrGuhrGUBF?4Kv9}5H%|F~_X8)gVdfbenlI5Hc|w?_zn}ji
z`a8N@m2NKk^}hE%^Xk?LmgT#<x_+HIW8j2l!%WU2-IrCv7cL*d>9>#sC`%WH4X)TW
zA2>IqxC=yu4fXb#JRci^*r`w>d=TeI6;uz?Q_+3<b}>p6T$DyvJwf4Uv1Mnet*uV1
z@Eb0R_Rv5)gI6<&l!Sqs0L;H7s`8mp7X4dm^E+&%e{XHz{0O1{_o{46T;<<R+yY-`
z{oBp}!;3|)kFXDS3of&DK0b#i4!lX{yTvpuee4(Gy<}@!TfI6p9;o2k8#CAnf-!rx
z!JWTzK75yUn$4F_Tg^?>Uagtd&NlyB6!_z6>FJT@?($&JNmIS6RQgls5@wAR(bbI)
z^4=7i&u_R<lRAjjL^wlig3k@giH^5=j@z`?1DB4^ofWcF4p?(MQynA{a`2jh!tds6
z%R@M^yXJO(wn{c#FuA(A`rW8S#wcwwP7}R4jknafO|;<ZjmQ4d(?|lD_woTUwtX5m
z7Z(nUkIz$h!k%*zpTi~NTdu0MmZ4fJtZ3rQx2~?GXAj=1&uT3Gb|i@`8N07Wi@aA*
z7-c)?|Co>TO9_5(AUPvL=0oNe3ZELNl@g2Umb{64D-3!ojRtW?w`6G*(y3WlS*I;1
zeFrx>b{yRgP4jYdSL_>*kdXS=tlZuC3kwUMAtK@m9JW0i*rd0eg=xi;8EH##p7def
zcXlLknV?^2R4<F1ZLW~vCLE|KwKW~CmRv2FOs5My<2G#<n9ReR%R&AfNoeO#rkyJ6
zfar@LlZXZ0Vk&Kl3R2S<-aBeuqchmR)3N>QG(Fxd_PpZ<_eTF#I{eRJIUc+788*au
zFCMa?G?ezu5{-sU79WacH;1o8T&saT_wbmox+|4Ne=HVLe-1Kd8$^>5^A?mvs7ceQ
z+F30&CtH*@1RWpSe)acvTM5JyobJ+Ua$Y$)8tn?jE>tTc{r&s5;N5<e;M4utpCZ-p
zA6yov+u6}@<#ub5Ke(+1J}L-F_#>hfXf<*BKY#g}hGrv+EmhDhmhNL7tA1CAe%a_)
zrkLAN%N4KFu1dwAGELbKwh|@<6H_F?)6GkVe1&|mCTBkD;r#skwOT8fkyN3<L>;eg
zKP$-0bvNGrOiPNyV1nK97{wu}a4OyR*LIs@6nSkA+zM^Sa7|Z-2+Iv>+AAAvPibpS
z&L<CzPO=$7DZ?6dr{HD4-@?w01_uK7tA$iK`Mf197rS0xSn7k>&Z&#NWNadtp<uGu
z*dGJm^g3NV&rPF_=DNi?gR5M-!zvdIL71o{^Lkt|KHOfcMF|{|)6s>NXw<Qrj1cSV
z>kCfi<mR5NMT=B=-8nD%JbCp*lZ{4;JoYWNc&N8}@*Opwp?~=Bp<a{O`EdS&xjFsw
zm!yVIj}M+_!#p=rE1FHtOjipoWN3t(y1&07obOGS&FuYY^YPgn%}@Y0B;a>^vo}@3
z;GA5v?ppHq-h!n?+_292TD8!A+>EyQ^abqSqVY^C4eRDdckkH>|Cv$YY(0NO)Ydh0
z7|JH6wYAx*lZ%V)TB}X@jFGgurIC{yYHvsbwup#`_su~au@Q@AW8C?<V^0);e+Y(V
z6So*5`ub#dxO$5*+S|8p1qGZLx!~a&e2#U$)LE*pLIAeKHNIlhtY=;O!Ru_<!^Os%
zL?IS*ypx|{oN~C4sPmedy6a5)j?JJ)F<+j<{e0W6tc<12s9{l3O6p^-G)_lnCjo~s
zs!Rf7|EH<(Y^h{cJ-Fc%9+R1JJx+_M2rEc!h5284>!yQR{jy0Cm-*kje~WLx)lL5t
zU_uSW^rd?FVp?bG`edz}SqDcUbQ+VX;FFq8+7@sAWb%PS+L+?#l4|iM8X=*ymb<IT
zEcGhONh7QNR@+(jysj=?b=+xf2Q*<};Ra@ltHl<mJE-<X%?9Z>T>SkN7M(wd#$!n2
zEf$P^Q<ek(Use8Ku_dL-WOSlPwb-(=tYPzqWd=A96vJxe=caSjg(j(Nhyb*V)c^ca
z|NiY8#%Mhv8sWFNxVVyEeSPoIiFrk3Wl;f)c+_%}(CmaUlrBRdvl~yx@bUgeTtWhq
zh-k1Ul1RqLtw^^yA;fq<aG9N~8-9PTiWb88DZ!t;DqZ^h!CY6FR*F?49UB|!HYCxY
zH~OqY<nedi$w|6ElH6Q%ztfG=JF!BoV%$5Q$64&binZPk!Y)zCPY)~*Y^+MTwvAx2
zkoucV%3p<GPfljVAM?>`ET)ZtANpuxN0U(T@$o?%-MDnWij+;ln2e-S(9m>G{@mFs
zYs<4+>zU2-xjU$H1LlXiqr=w7#_#83IcjCvZi}My^ofJr03MULEO71Y?0^GDgR_s@
zW>;BpYZ1GXOw@_$Tp_=#8ih$}(}jJGPSUvT34eQObZ6660gePlSfesvddV%g(P_8*
zs2$cE0b%@pfI(=@`DkJ9#{Qb0I2}<z$fhAsL_Xb6-jb2B<I(^54u>hmnea`(V~cym
z!L-he>&iRvfB>hxnPw*oGfPB(+yi^=m;3!>KKH*<`5f3wLxCgYE0Aptr>NzeT0)F>
z{}jU9UqWmczf_0x_4Qd!&Vz9DJRg?=$tF0(x-k@Ndc0gu3>-`^OWVEjzSCT-RZ9Nv
zKWC#N3e%-pvvoFPWM1c(JbRHeWoPb`y8tAYNZkVTUW&+?et$i5f8-OoKXs6GR%7-z
zj7P^K^6g7O(FNmS*TZ<V>nn@06<glzrD8laE-UHI1SYdTja+AVjO6Cqis{}b66hqt
zL+!BeuDa)@n_WE<+oyxcCzp^2Qh|iQvW6fANNw)lziMZ7Qlu-lmj^dn;Vkyk{x6l=
zBv67xPLV+PGWwTfL33$~WF#Rt3RKBx(qRyoBk^k5ABsPfR5~TA;KRbgdOqH4X?ovm
zRGUo(MUe=wJMYhE=A)sbZ-&yQFXv}?uYOk$rT|bEOzK|1TMRF%qVftPeEpS<!29d9
zXu-$pwLhg=O*0!sv3BEO_;4<8PiyP_%4q9<b|!h#<llYuN8!?uHm8@0CRqy`WFBO*
zK6-q3_V?G$jt4Xu?gj?xMXanBepGphbo|E#>a7QDkJ1a}<-}gGqzcljeH8|p3(amT
zWH`?dVCRj<Yi&886b9kyxbx*vSVV;7eA~0d`^41Lq00kEp++4uK+reJ1OPwtZI)W0
zc?bSEx?+pF6JRE)1?-y4iCg?yDl|%n?W+LY8tgX?L0;mdbJiQ^+;bA=_{*qITc`T)
z;2`(TkGQjQRIL=z-Z3I$mR^J>lY%0^xX`i$*i_XJ7|!v{@16!UB5uYBPnsCf1aX3*
zbJvIQW+*$PPbcIuw_R|Wb`wB#3Z489*P<zP+MD|IrDg!4S0I!6KWP^yrs_WerkxpD
z0R3*<Y1mgD8joc^WmGXJ`RJ}On|zIhjom^b8R&R@tY;IfNP$C*DFov=)Df6VA`_EZ
zg1HY<;JxXRSZC1R3v2WIXPk18z5{<63N|)2Q9`14b&yRX{BlIqK(6P*NDqGYv_t$t
zIgb6)F^+vk-5QkAs{HOJK1}4>zG#YNxN;JYTp>lhau+}ccbCQ)5c)ZNG;o+zcHJB&
zR4@CEsZ$U2ny_OjnzOf=<U4f5r?eFTtJK*Oxhb{|BJK~RIRh6YN`tKLVK8myP|uwO
zp_`(I!SfgN5jelqN{-(Xf92W^=l{E7)!XKIHn>M290n=*TH&w25^$$q^TI!(ztAK$
zEbMQLI$_j}UHdN@mtAE+@1){w$ep<I{oyuJ!hj>7WiedZO{SrRYS)?LnXQR8_wp&*
z{6_aTa78*NHsRT_C0`VcvZZ*{203xRJGN^>Z;WGv>S-^qt=)-)gWJgE@bNttBUNVX
zam?Zz1Y54yZ1cC_F$_7mJo^9c_Gn1TSGI(R@ug1_EF3w0P+Vnx9-h~MAl{k?G12LN
zZ0w4>L8lF~#am5sgB??%J~2Y-1h0s)13n}UBKaA*>OiA<yzh4xM6ROt!aFKBnhi4I
zWSVq5y7hu(Cy0c?*L>57MzT;V4P<zBp?$l$ATsR}1lQx<V8*Nopn%)Ck&U%R78_tB
zhn|R5>M#bg{e!SbWRdv5U#8=2(+c$Yb|qAb8+p^~hjY4)%_Xz>8~J>wVU=meKXY!p
z(Okb}x|hf47)pa4@f$T4@t5<W&w?;e<>Ac`Com>3CxkN4<O7!52^}w-o1rU#E2V}*
zdTXoyzVn-8&%(Il=vIW?@0`7hCU!el0pE8Owv>Y5zNuu?xL1Y%ThE@J_)4HAYaU&G
zmM*lU`Y~^R+UC2}m)wEi6$TpTYw6GnXJY7e>3NgIehs|^r=r>5&RGUMs$6<>Iq`Vt
zi#RpY|3k_0MrVNsd`7t_Yv$kpChqD#<xL^G$>EB+P4CZU1+rlVsD0?l#svP=H1v3@
zYinY@Pl>Uy?4=4B!e)z6QaBll|Kd%hK^Ib+!ItNxs5mBZmKYEakb#YbML9sptm^14
z^{+PCcvok=fDX%}!z;+mJw?mOSuH6p-qp|OZvm;*%H7ZUDDmHjWhOW|IeD94v|s>n
zhJ=KKV5;|)s8{91gjiz6Al6z1-&|jVS6dNmWiVXeCfwI|cUN+9a#|<>>IpTh!ouE;
z;JVN87}wwph9vVR`Rb&iN%IG6Fa98${|8Q*t%rYbrGc+L8bt8Dp{#?IVNUJYuvZry
zX7o45H?WqMk+FC~$pa(zQCZpgV6Mi3Xt}@&0?#b_4p!WdjkRxj`byE$^Zq$lCQtl?
zd13hfFpvX#aL@DN1>DNwDQqpj70Ok3&uv@Y($<~4luNv7;yTEKtf8SH`?1!$cO8h!
zMd8B^gG_avaGqFXWIlmL>Muk3e6X;vlq1<DBiX71Tn;^(3-)qfNd2eWbn9%xf`5Jm
zV`(tdH<BjcV;m9Ffva3&{?|ZVI1k_8g(eFpC8a*gab-wzrSrkuTS|60@xy1<Z!C$6
zO#jEmvrY<K>R>X$`<`1&m!`G3U+lJ4R8$BD(t#ZF-8msTkM*plw^v~5m%76qs6&Kt
zVhGypmkT@MGQ*^f{?)nz4DXbuUOOGkIlb4^)GUvV9`#BviY)t>FE0x=<s)wR2^gQH
z`^}=6`X^m$s;N>fj~d7Usc}Suns^kELEhc%EqdEY50Szv1Ggfi|AMue)6wFC%d*_^
zFmRlxb|ix#4^g{Y*a!S;TX0gUjgC9)w0lUH$;J`0){skI4eJIY1Ga=r`lkO~Fi?!{
zxp;bdR@fwT_x3*D_$2=!u0%TM5b0m6+f!0fYSJk7^a}>zHCd{%S69UTi<HwBEmZ%i
zdz=5yVEA7v{r@%Py!d}aU?DrLgDInf>HYz4oQs*rzi>JY@=1Gok}s3YY?l6yZK0v|
z|MTisa?m(G4O&=47j?_{PZFee*d$HAa7G=t`|q*Go&G=91CZr^BVw@Pq2qIzt4M)J
zK9^*bpeRA)hG!M=zE7z$pnEe|xtPT7w5yh@blDd}wUsE@P~`YI;o|R~!jDUDA}h1A
zvJgZ2(sGq*2U0>J(uBQke^0!*d$?NinW+2~1>UCDQc_a#moA*=5zo;xiz_)biQr?k
znyXgsPo&?y5vV&eh&oKMgjkzK5X=AqR2ly3^QGbabgP%eQI8U93Xe@s?ZJ&`A$3+y
zl3yed&+9jD3OK{mXiP`bg;II#vN-X^Czh6;%9u22|Im^dk#ljygPI3c96mQT<V(We
z@zGJ6pWbbQ(Q$FF<kR?7%{QQqh=h!6rdg)lqO1`#uyef9Nlim@fGEA!qZP>Sv*qGF
zR7Ezflr0%=trD-IZaHne&^Vqc7ObojMW0^yF+ahXQd(E{r^BBDCGXru3<ObqeM&%T
z?F(6G-@FO2C~K+xlb9{t6GJ66)97ST$eitUcX@ua)TWY{S*g+N%Eq8p%J|nvCFjh=
zd#m?FjM+c1Ej;~iwA1~c#ijr0axo@Xa)Bqi#bvQ^aqBn4`1pMXbxZP)S}PX*BVa~w
zWc1jtW&79;!8tXbPslW1&RI~?(w>2DuzTOT-rt`d4!74@rF*h_)M*1H0?ODO0p=|;
zsD5~5vZPfce7j9`e}7+pPzyQ#{3f7-6a|#s2)FVHuO6)N7E^3mKLGk#f7rNJiIySa
zBa9yG53y-$88c!AH2}S8(O9usS?r4{O}eAKr!H)Tb^iGkTUN7)9Az!%DGPVNAyK$&
z)H7@bQnt5E8(oe@<aie1tge5lR~=tmY%F>lF^z8+X`4LVPPgGU{laRXx&<W?psFIv
zw!F5y#QO_PiQrf;ad4c*-J*&4IzXY}K;m+_ul`ygUG~ctLNhZn%eiV~NbMQZXss1^
zbLgn;N&aH@Z{e33dXf8McuY*p=BLLyi7#zozj*JMd4T^=3k$c-*x}@-0)BY{YT~^L
z#rJ_ixG!$gnv=dBS}bG)^4Kg2*4iwk8(ib*c>V?nB3xw?)S`n4Od4TCKh!R^$NkG%
z>E{F_2JUW~7Ody3d61EjhcZN#&Snps6K^Z4v?o!DS+`PR8`0xwK?OBh(>6yVlMpBE
zlb<|28>>j^A`Xj)ir)_8kHZ^5t2xe|D3U=S4kDqVGAa_}D`ZHD7pPYmN7-HMO>Ygd
zv<-1XwK!~Sv$3CVqjrK{lBFLo_d|>Pp=1sMA$P~x9q*?H7xU@TNVeG}XLAU5Zxl&3
zuv<fq`|0`zIC%JqU#B`vnLqEC|0DGIhzC5}T>(r_vuv|eNacO&?(QCCv|iJ4Iu{(s
z^n7`~!9k_?6H~7(uu3Uw?>k#t+o+@U?)BP8l%_H#p9Io6h@8E>ed*RdDA+ZR^h1$C
zLqnfEf4+8flwp->1tAu4kIQPl=-sdf8lRw19#E$28|)vVGK9T;09|6ManxQT|2wV1
zsv|#&s=W4|&SLY!B?KmdL;zU0)>YV~apvU6zQLA1E!`?6At7jRgOZ$_ytjI1XD25w
z5103OpMo_XjN$$ghslVcM~bfY)~onT-mUiL(yDGHbCWqDo8}l$ZrcI+4~{Xat<9%a
z=Pgu*Dydt9V@Kb|q>{wI#g#1iQggkh^E5D9Wl|MiXEI9q_3Kx`PCUlXqNb*AfMD`d
zuQRCm@pkW~XU&n{Y`(r?>kP=o4ZB6fri;yddU|@Zq&F?60}Pzze?mZw{ISj3YpO(J
zi=fW!%(%2+lMrY&$e=I`#M2fP4{Ob2eye_^1wiES@p0$}SNQG49uPj-Cvs(wQBc-`
zh^)y0tn`xk02(2e!fnOte*Oj?5p~)Br7+CtlD6AHXGcPn?aDh~KPg2;3=#q7^>#n_
zo6-zY6oka33Rd8<qb`*uqv?XT+u7+iz$ZbiwGKQC@pQ2#aACS({6Sq1h|JkWg9)D3
zE5X$k(^1@3bF8Lg<f9GFAW$`37M!Zh|Av9^PU{SQ>9MKR;?8vdsWWN!g@wMKsN+5B
zU~&LT`Fx;nIvy>if$|qPC44(zD`tRF)Qal?H43^lfP~|})H(9x(*{6%DS+MJi+BrS
z)5_<7ko$KnZTEhTB?XZOaRBc^ldZtWA@5uF{xrGR#Ky+rv*`zHT@MwfhL`wA#4eq*
zSxhtEKRhJ!+EIeYrsCyIGRg2t*vjxp|59VFRAnqTdgZg$6Uk{c7nh&z9tMOY#U^Jf
z#FwP9($WJG2E1;k)F1O?^}0eZ`Ff0oVF7uP(A6b}DvX(#nd$WWAmBzWQe*%AS7(*J
zs3}gY%u0tx@knEez>*RF9veH;;=$A8a<m!F(z={%lAZ~252wu{F=oFVgRqd$f<wnG
zNQG=Yw#UnFTklV0YAt7Dvqu1_Oo!hBr!?<%wIG|!9thl()$7(V-TT(e`DpPV+57f<
z2Pz9g<>7f}h!s@ag#Mm>GAeXM43Z6dZ#3D~-BFtf_@E_Fnt|a@HdAa)0YCz+tji!;
zsHfg;%{QX=#s4a@jw07K)AzNeuo)nNSjYu<f=b94lFVTOIxLu%`?H;(pigEuda>m5
zBm{gJXp`SS_S<Y~IfVoV($Uh;1VRN$pjkNFU)zzoZ&QG_NvhQYND}oO#3<7`J}p}U
ze6Gj3!jIPmqXtz00nbLczc$y|>0LU#UdW(f;p0oTX?sX0YrPFaK*22s;q|HHiv&<|
zqlItZbOxar063lZIBMzY?uI4!ThtRl&<O<do5QA~&vn)$Koc8E7fJz+cs64Yed6<U
z<#T_3HX1=DlJ4_(ma)IoMh1*uHvpOmQE5Pk^?tZeTU}kf?gjcDxM*)#+v5O;up1CR
z*C3zp*{we7@9#$?;*J0Ua}{VyeERhn2*)VbK#D)r%HJ4F1ocA4`OYK(udQzD#(Lc&
z&WE>APu10&-uEX`07XW?F^mHB^yZ|OY_`dTWiXLtE6rsQNIl3v$pazqK~8RC`L{n<
zS%yvP&FiJxe89msTJH|C-})mmelBl!SnQ*>K!>s293p`F2+%m&flxMEVemX0mubLG
zzCjV_ipe0y0@OFz9?P7?st7AB*lPc(X%e2@g*A?h{dx>AjW2c92R9phUbp9Pqfhe=
zqnO0Rvd|R0SK9QsLSG_%vZtqK0*G+H|4~H^4XJ^e$JW}~nr<fk4D&a>7$Dr3m<ocm
zRva#enupD2@=;_WBjBKdGBU{8?oUxD-`U%<v$3%Ou5>cQF<S0^VNSk=2Qmb|L2s0V
zI1)O#ao;xz&)c1RiCM$Mh_Cxi)7l=9K(iIT+vn)$=n$k01HF(SRDup@kY>-{*Q&j}
z)O$Oi4$uUuj00DPO1{9F82~IzQgosNzcLI}e5?804kCrmX*X^wM;L$^SbhWm?pDb4
zJA~QNMiH4_&?R#LYO*Adk<FG`g_@iX^nn|Jw$bUB*h|3U&<^X@&`TS4>B-l$AQTi7
zj(byRzUAet)-4yGK9y?r$I{3YsFkH}J#3{3xNNpuEe>AXrKNx_l`=pJz)jHGL6~ke
z>}}Zc3Vz6)+%dd9UI{@0Yo2%CE14}NX(*WtJY}G5yC{4A!u=lDY7kU2u9tgBYz75D
z7#4CrZ=aq{T=Kpf=CE>f<WwzEp%4^I1yW+UVSlWp5eZ0&&?5wWr64pS$tvUFnOZ9%
zpe(M|LaZ4S=K+laNzNCYgx_{8l4sLhzG3YDtm7kmv367a<DmN%n)URZ#A#)dzLi+d
zb{m#tV3U%{XG=y3W@yw|4?jI#wFz!50G|apt&f|rY9nEA15S6nFJ^W(=3u76AD8LN
zF*s^PkiT%5HT&Y|K9)0v1A>c7Mn(ox+I%W4e19yq=(>iM?zTzrrPi{ap{%(B(9n^?
zg(g1G-~oAbpmra0!SdSoyyyVt3~Fw*cwE_cLVE%(-8gE;{j?eDNwjST@k_#tvV36A
zS%7?i<^eu5d#NQEP!td0UP2uen${*2M2v1uH()*|#BXu8D!#2PJ{<juf`mj4)b`$E
zK=9wadsm5uf{uQ9e{ggZ4GwCd(aCXpi~{1A-13H4(DfV0YlcMAKi|S9u;`5Z_J7_0
zl5|z%pruhO@L}Q;&Cfa<oSd)vO#9IYwvuFf@IkV?yE>u;hy_)(&$un77?+$H6}|rp
z1JO@I{DH}Lxn`4j>2}F?-Ia{yQ@@fAuFU}*t0m<lU)${TgMS_p8oC0s@lmD3CUPK@
zuiZ33o4ZAL?ob0v$grHOhO@ByJbGqjWrajW8i9lr7`3LX2>f;=mG8U3b%Vne5()}@
zm^V6OpHnTbG$ZD)!X|7&jjHyPP97k1odD{*nS7oet~8xzjocFOu&`pYCFa3t;j`+B
zrpMcGyqp1t>~OxVr0u$b(E4zxq3~%b=L0qjI+^eg;N4vSo%p=(c|YcJ*N3G1k68eD
zqx0?Y^WDGUp!kEP&C8>uBlUb>rw#Y4vI1agdlmdq3!ja;7UR+Mv@PN0@)c$8jiFRN
z4yod0z}7G@fmXx6U7^T-*!JWd^pZ>-q;#mT3^Ih!H>IODWmcY<S(a)G8EzJ1KVd<(
z@rqi3)Y(99F&kuLmGn)Wg%S8Yh)K{114%s(`~$R43I$O}JxH`lz%PL*<Fi$vP3;}f
z{3@OH2NYw2U@(x~00kMD0uU!ac3cPUK@#S3IZWMR^ReD@%)B26jf@<2cwmVAO8SH_
z%ku4HM$lrd6r=`z4I%43Q_c&JY}g&Q6*ouH1_94{4@$+;`<NdoU-y@qLFW;W(H>B#
zgoKA@>$G`C5OCxv8fi+G)~|*UFG=}=UZ#6#u!PWa+zoyWe4`1*YJfq!#OV4427VF3
z`<0&@of<ToZ#GjzdnE79Cl!REEgd*?+hL%&q$3ao_Ikf+)b-(Fx{4+fn&kocAm(=r
z0ql$oP_o^r5*YyMGoWDt6re1(v(5Aym!rkVkaD1ILjg@5uy(*wK^8bk{quio+6b2P
z+@0@qHoKikJNs*OfL6yK=&EiPlG(3zAtx|v?au0eWRNQCMcC)#p=C*iTb=s&a93po
z;fCgM&<+ZC#%;5h%495rJ0N*=xKLr00-8ET#VPSi+(BQD_GBAHP!6HpTrg|!w^)se
zGAAeJ_;#<%0Wb=<3;)>`4;Ro8`3*W-7?^<8S$N;>(85?ZY~U(r$@iI>R)TbLdv&A$
zd}Ox4ffgVE96RARFzA6nNGJ`^+>V!+QLFKlZ>~%tZXxX0FwfEuD8)aQ>-yzyJOUG;
zsJINT*t#B)Zm7w7@9D(EouAl1xB-|TEQ12gU_48L?~r%t|FtWn_ET#ArXLEewN?;8
zv_ilo+!~z^23o!DphN()`clGcG;JC|#RzRe%Oo;Oi1WG}60<ZP!vU6fDQLyG%U4c5
zJ&OgMQxO27NDk`{PBTj2tH!O95kx%l5o|!=qik`%hy^Lp4FEY5oa}El5@kT~L(Rx2
z%QzV8ao8X=F*ylk3vhh^^(cT8_(~L@02L*rP0K~X_3f?n=g&!+PJdM^b$`QQV%qVi
z!5Q9xfTskongB4;HE(AkH#{IHXaGk|6VNo&n1X^gVAddgA5y0P0+|{lpBRuy-hY2B
zXE;}FmVS}MVG{N1*|Yb+#@*A?YC-5E^q_V|So{Q38+PbkWGtQ}BqaKQ6*ctlnD>PH
zIPF%&!EsCg1VKhcjRVddI=S--GX^9~X;3bJiGhbBi8?jyyYli4sOq4vp75twO@WZd
zn(=DhAzJX^d@}LA;`s6IXz-t)v|54j02o|8E@wIr8SuPmCB&gb7>KMf&~hVaqb~9#
zso>{jFR#L*QP4;>@@~^em=aC{V16Hnf;Rwo8_NCBtVu?^uP;oYc1z>+_4RvG(}JNC
zo>2~OKx^Ro0FBusaNaAa8z@l9HUtwt?AG(V6^t?fj;Rv0oRgs(JKYX&>r@b@4IqK%
z0)^Bb^k)YFe=`D~$08wNLJt-Ls0XTXXcuXX?kO{v6w4q2H0?BiPDu%1DgjU1l|qV9
z<mtW&rqXzraI_hG1w=jc0_<+5hJ~L>en2fjj2?_i%&Q2(!EW4%P}s8`2-$-`P)WAo
z!_#>BdVdGP#t1Aecj}=75c*~d;JpaK@*F}ZUD%*1OoStON?yA7^Cx1me`hiu;TyQM
z`{vcfMLcLh4>UUMQInI4x?deKL3gH7@<sKq_0HO^L9;<yp>nQV&mVAIS>W403^b?C
zh67JRLQo0V|5+Tf-|eBV2*eD#eizaWSOiMTaOIb3(-^_~<4!&XlEiNv>1`6?U?779
zM0jF*yD0RGzzwB6J)2FM2RG<X`B=;LEZ=Sb2~CO401ycmLW9S|8;d;ZG=8TSV4fh`
zS~(9K;mY1#O39*>x3aP_C}&M;Z^Z&DT#mG%W%fff&Fk0hw@r7TK!h^qIg7GkB^Mfy
zf<ejo5p)tX?^uUN!7*aQG=Xsu{qR@k5~)k$e7jun)j&C@H0VVKo|ald`f0Nsl*Asp
zm>@&_t6ZQX4#a%+0mWsljf&CE>~3qHp(+_DLT`CrzcyCPglG0GC@9z-8yhpx@w)gc
zv&u#7W@TU?n|bMEmw=F4Cj$C_ZXjYYV=Tapy_p@y5THWl4JeY}%UUky-VK{TxIxI~
z0Ott^4#snDpp{Quo~bYZ1t@3l)gCA!p#AVc=B5ZxpBfP*{`escEKmwL1#%7O@dBMj
zYumMwAK(hO3N>hyC_coe18D>#Ik%{W`+<I&2bN6`GnNaD@gVGQTCogap=Z-XNkv6u
z!c9&ewd#EYGgYReu+-|s2ddlW=)^z4V)&xM!+`^&KPao<rGJ#JwCpqeRcF63umGyx
z{+4tlHk^xl0QAu03wqoQpOUd-C^O*09nyx6?mxc<-Q0~SC9hAQ`e0FU1EU~J_E<00
zlX&)!`P&j=l1t9%tA76cNnD0D#Lrv|SiSdMIqL?1Aa_FESAnD`xh!o~nn_+-^G2#Y
z51=_vD=8SL3OKqTb`S8NQ|X9@hlev+Q*$7vuDezaSmNk>#&fPr*WtSXMZWSxuMa?`
za88{M)M5YDzAuw(q+V^Ad?iL;AR9C4*WEI*nS0v8FAi;K<z|8PyDjD@((~Zl<@-Su
z{sCD~76?WDp|3Kt;(3}B{r36N%+C;>PI3tR)s+L6kKr(4U$4yAS@>#QlPlk5*MF%_
zXy;&N@W+2U%QXG(L)wwLq<N5#5dGgqz*BABbI#NTqFuwu4;p`Il7q>QCb>4VlHRtt
zVf?u|CUpiC=9Ovsg1QN2^R8jN@r#hI-DAfzk>Q?qy&ru*o3^1(dEcV&pWaR(mg5Ku
zlRPVe=il#`@Nk<Pb(2?fN-6wtqtgO7O6k#?QjvtJ33e*x<0q>#iSL-~FxK~8_Z^5a
zS$<^{`-W8G`vw0i#@7f8Mq%;MZL_H@Rc$aG1Bx`Gdc<92Cs3b@JTR*<N<|T`0Jm90
z7t^A&ggCRPS5o&j&8zO5ot)ThaUJ%TS<5ERS$}NyBNg@bBH=@$)L&07kRy3*LZYNT
zvc!j_ggFZ{zY+ME9s#+D|MMgJ?Qcx@d<n=q)_0NcW-2v|?T8TH3RqY+UbLAlk9V~&
zI&3ql6a7_Uo|xlaYN-9xcO|i^{=~egss;A+?a%Hp$zf?Ne*B=_Q`|Cyfi<IP5FD&T
z*YqsP!i>3TubrS@g6vw&{du_Nn*QZ<bAxk_Flp4jwAA+Jvd{`*^EpA)oaOBsG_$-f
z@$kQSoLkv<?irF)LhTzgqv39@B9l^lF+`fCHfoRyK7Kc^u^@c<QPagjj!`V_d(qjf
z@L|rWXg#~+vnI1zl-0RpFPds`{;do97}+|@*Z%t1WE9v$qZz9RA=`DAX(JCKH3=b~
zEoX1Wcywpg$E;89g?K#Q_ps!C<p@Dq8s0Z5Wl8IM1*25mv57)nhd!yyN-V((w=c%~
zbp@$Ik1>jZxTD)!_~%58C!@vpj?P|`a~{eoA*XBG+(HG_^oY-N2MCY;<*t$}93zku
z6~rsX@9jmlHC6=%>VI%DOGQag2xs2av;Co3n@`BjcBINdI?ot~cq(1SB<gUK-Q{IY
z*4`4ZJ@_I0d~wVrIYqvy&fHfMfv*vP-_`uxJ+Egn`oQu_77y<Lkrmew!lZk0XNY*z
zb!rTyY|pa)vPZ>DSC1L$?R{>w+?rI@cEs=()S7RWOW%u-)L_)e=V5sJO<(Saj)-{M
z*%FnP53QAY;=+$2S*Ct&dmQW!MsLAIW43vo%U(o8BD;2^e};ufhMCn&^3iC;q<}W)
z0+A6@(--24nHko<H}!qF=bN$E`p}}WmU@rIVs|yfv1)Mm3%rS6e7hJrn@q5knG3Nl
z2qrH-k)=3Y+ZXoe^*rV>0xjv;k@3yF_{pSZd7=IZGnTNYzbsC-7*#6J7zWAtxgvGS
zw?k|rA`Ch5BSv_OzS)`lrp^9M)nwYf${tZY(a6Yl!m#|R=bHRfS=9BqXBr^b?Vi6%
zD1L*=4-#3U>~ApvaQP#tD-1Ths_H}gR^B+DgMNSL8GbGDQ(AabWC4Ff{hgZJI~0};
z$7LSTvOkl46iO+Oml1RGkN!i{uiD%5$&;rsAR)8MRGYg6!v|c*LZExD1DCbdZATv2
zMsdG(PugFmf2IV_fbeOKyV&@Gt@kYX6OP)eM7=6pq~P%R8t$2y2t!1UL2B-9kT;CO
zjnE{!5+j;2xsUbj^;f&LBidBeG1;huO>(Tx@+xe}uk~%ij>m_zH(_mp)sj)4H2L)$
z#&afoWdb<#Ly~3(Et$e+2EG$m@dP(To})>hJspo^Xy6ty-~PE=s^QS*rkMGB`h>+(
zLq?W1jwPO!AG%Frc>SV*G|A*==K3%070R{RCwlmYXV$OR5)Zj`D@5m$Cx4~+n7nNY
zS47~BYvg?oL-^f?{Z@dP@EEqx2s`PAO539-W+=^GgKQVB!Bhy_RkVQP_Rp)VVnNBS
z4@n3534ZUNF*w+~mt=^1%i)o%&`hXH!|54l`O4Jhw6Q|ZmT)BwpVC<TM}~b`9@dY=
z6-aGu(xarTkKd(e7}I9YxW*g~of2MGSM|ba?#3D^&uY`&>Ha|;`=t0e7RQ@UMN<X+
zu2h2WdOiqN-3Dj`U~+h*yoAZZmElTc;UU~cKYw2OdW}n82bs|h1w~}r>eAhSgg$5d
z&u=-wcOUI#BoTg>Bh)AEShAd5(-+cZX8s+$xlLdG>ZKoH7iN`D<hoth8T_=CdrTj=
zGHCRTtqVzIt>XcPSs-$b<9QN?_KPxQ!U|==*$xQe?I!o4ugo&<n42U^RaHc1)4Hrh
z)rO?!{8eaDD<UCWurEzdC0^QzQ;*2a-$=S{IuXK(b7s>;PRtf@G#$DJOk-HCK2twh
z{c&Amh3`p_^Ul?rijBM`QI~-C<QRH&qN#qoA4~$ZQNwm9%vaV?P)nFi+n;?yCx#(}
zMez-l-P&W1uE6^7ij<U=5)=P>$;jP}jvXas20xR<ABSM{hr?V9hMWRb<;eqMELKgJ
z?`Q7%C|#rbMvWd6&C+I2C+Pf$<RdW?oQa6>?$T?Gvx5ziIKt7CvY`FqB9^`6VDl+B
zh5}!mv7Flc<J|?~caIF2qAoK^cVwa#<z3#uWKkVI9pg)OrWfowj?KK6`KNdW+fqFw
zlg^?){G8zIdN6oeXj9m3B^avTm{b0GXWE(J;**O1DChM!0(+}}Eii`pIhr*&$n#zG
zlo}%wc4sFU?4ulMi!Z+Ii&R{LAYq5?Z`>GfU^_p(cY%N63Yv?RiYAk^)pON%XW_{G
zwN|VmK2#p>2v5p0_VQYLc`5OR?Mj!wvujgm=!Vt;k+#D-|2uQlU5c1?<Q*1e$avSJ
z2PY=e^PsYCn25V_M@EljZ_c8%>6}uzwVpK+iTV5_wSCq31vBBg;q$$=$eC2Xq?R9A
zHX<&A?;h-PL_A^5-*@+J`q8VeEqh{4OfB((Tx{7@_o5S;r+24XI`q^%nAwxj@cnqw
zKgfC(F|HOB1eJXIfS4|*LqfBZt~URUs)SO7AF*3Hp3o1K`xtc$OHT-Q%|x6~p^QXq
zt$T?!UJT#dz*fJibDDDX;l0C9cxGbgOoE8oO{Yk1G3F#0)o;KQ<_`{%R1P^YOANEJ
zyZL8gYAGFg#<YH-5L_s>Jzssc%6vve!QWx(6LAxoMQEL%8v-M2$S>xQX8lUe?hFY7
zAr)@1H?hAt`1K==slMyA^Ky|OEry-m5GkX@^5pZEkBZJQs)AGrG8Sx}vXWeJf_GWW
zLm!D%Z98$L(bjrdm+8n+lY;f$X`@92u_QhPuRQhf_PV5u52n89v>p5dKqv5X?O!Rz
zCJ}u~KSKN)?Jh>*ng*}xy0woDlj7B}MA$5UCnrKNQoMV{Q0h^yNjlBp?dsLJTcXDk
zdK=tci6~zqb)s|~JG4$3S2vTP3Cc?{OsO0Gq55m30rz^U_=-N^V(7*?RS-4Aa2`3$
zVE#}^flTPfehEH9Z05<TO)kf8r07^B5*|p6IQfDhwG@jhZAX~NwsPTKIX=_tHDbyj
zb-3@w5<fh3=mb0i{~&JW%*}J<NAqcMk0-R49dMVBXVd>cdEeeg=|_{z?KE?=G4@9S
zj8|3mTb>)DJdD=$T}jO_;mTm(KA-WtaVGm%s3Vmi$N4F9*9SctQ5aRsl@O`>SVZ$a
zTpi~qt;5Jn-ye}j7cxr}Y&4J1&2GHDgidnX&fuqN`;s}HA_25;pIr5{#)*v2*_Yy+
zWO0T=HYVnRf+JU8mtRuJUN~_yDE=)JmzA)=W(5H$6&WM8WA>OKa_=x$1s%%*^N{ok
z{`$G*k)r%*3h$e~kLS<v!4o}OwM^-*y2Y3K8K#e+TF|eHx`y!uMutuHbr7#j@F!9U
ze;mcOM>g@Vu(CZV1GS-SXpw#S3N)|LudD-bCd+ZyC-EQ6brX@MV`oirkEJ>z1H`2)
z61gO}EF0zn^ius=dycV>ql#ZtiG;Amm!{vGM-iFlHxR3mK3?8ZEk;Si3(ASB`k`sj
zJ28>D6N-rhkcui!F=u%adkU8X^KBgP4#u1QI%7KMg-!F7Yu8BCM?YhEoKw5VM_yUs
zV02Z45r0hfytZ`|eYlMYVMILi;%BofO%(g32%PRM{$ub;8Cr4qx+vkezU$$=SDiYC
zJAvFI3LXEKU+^S5;m3lu{`s)V3JEIb0zdG6xGmI0YSr#UCwYtF`O#%_*OBcV)T{J^
z@lu@rpPx?()xUF7I!bLvXHpR`eXk?bL&goS2`_j@_|^k8nra?xzx$Z`Z*or?-6xZQ
z`0lRbW7v>p8;z-jHFT1&QDR{_!Fv+F=UtU^LJr5v=r%o{l~BXK_w;ldFN<)vCrb%+
zs=W`u+$8MW-f0<n#}f3pG$J%{cV}mwspF$4wx3bLut?q&TYMhN>de~;;e2N<GXt@w
zvjxQ(sUc*8YdF17v7xNzZ8jbg5WAw-{Llh=Or>y|t^@LSKbwrk)dFtY?NE^sR~hwA
zs<k)E>(&_Yf*fdqr20+Gd<b0?H0E?P9bH{(b`=i_ySj3IbuKlYO1D)zY_;~_o7gLk
z$&HIV{VMy-6twMXNBrJ^NpbDmtTe+XzyDH<&b%T3W-IT4XR8@o?}p7i_mACd1ZF3d
zs1x~={h7I}&KZ~%Vz8JL@Ptg&mJGu+F|o-!!wokoBd96#pM+EtPUM2c;!vr*mm#`M
zJEAP&AXsR&T=B$HGLf%xeoT|Z{(2ulj_Qi!8W9mh&SA$9s=f}9{<OiF`PM(Lr<RAv
zbqg%H%|jsl)bjep4c>9VNoMCcsicmH#xteCoY2AGUPgSn4t1*Ll*2(tRa1)e-6hN0
zp$O-cl!%%6)`>Rz>dJ9(mH5WHPtv|+V<(>3`5Jz>qLre}MxPm(KaFf#T)OcM$xLT3
z9dO*DaSp-v=u{8Bi68EAzmU`)x<hmqichK^fSklh0Wef!>w?WTIcJ}2AyIJS(9f;L
zTd`X{JS$uF9PIrdE79sfEbwM(>pWf3r=t73t|&(V|Kx8ZPA%C-Rn8wFMeK>Q5^?{M
zI;%xCt%y%T8<Af1T_lQ8ZS|<@_kq9dct|#E{@r-VAJcd!1U;E;QRGchOrpr9aq9z*
zm)VhP7;D4Iy^U=+`oMDV(h=Wtudx!KVIeH?JN)1~JL1Hte7hPUzh^$PRU`rT(Dh!2
zebJ@uW5hg{`N!a4ZFB`KeK19&jYGl`^-y@<jei?s*IS*&mP7dqFN7nA*XlgZUyt{J
zRZy~r8-gl3m2io7Rn`+}ahsE84eRYi&sGuLza62a6%j(v`ZW-L4#tZ96yhd5kUiMN
zGP}wQKMFUDkO2GL<dPkyHoP_oed!Vt;+`78bIIq6hKLK1#EqW&vx3JGoX@NTY#}oc
z!i$Veo5prdyC!r{<44s_AJDBj--S~|wH3zfA#>-2zc`U_d6S}2cj%<Az8A^1md@|E
zy|fsWFNj~Ona&w>l8`AQn=`w7;L2<SDkxE(@aO%m_Ly+@qqR3`M%xZ<pscupsU!TH
zx@pVgvz|gkZ<VH|Y74#hCjdbsJnp-2pADNi_~Zj<60HpVoqwQ-k3UQ4^^IvKSZ+Cs
zKDZcBWq$pq_$rm{HQ`|6&5r+b9(RFsnb{lnNFt0ZlXLDeH}LD<u?_n`Bep4|PS`qp
zVcT2|J!c<>K1fA;oM~5><Y--yA(*orh-5oa7Gg?6s@O3>ZSe~d#R_u$Z@Md-Ke8s1
zBhie2B}FKL;izy;GuysPs0u-3AQ$wc8S7)=s#!3gl~<W@vBm54VxajMR^E>vmC7$s
z7xpE;f>+X;*~&77){ml{Vp)icY_aSO%av={#S}j}nF|Z*!!t8nkadY{dUNP;0TMUF
z&u;hQ-e%au97UIFFeZ>QqL<&C9tgi4hS<4x;}@+N@^&owHsa$h8^dwjj6gEA=of!|
zq-9)KnK2jtB<yv448It)r3_g75TbjiL`t%dTvpv$L!6--f{BQ3aXS&9UOfCA_01$2
zc1ZepwF?uAUmx{z+Wfc;&+She{JKL^Aj4BlSw+;qDD(kuE0k*_$<sz?a~AwA+yAAj
zh?n8?Mj63M*ZLgKTnXzD0Ws9pm@`RIsk64J_>~(n|8&06`E=ndm>8?aur3dOCSGr4
zY*PgyLi0sdE4I#+oi%*=@3BnE)~_6S3wbsO{4jTZH0@cSghPgw#e6=0ij@I;7JZZa
z6(=bgeWoRT@yy)#fRbMIGhcpmp=Pu}c0F>6o#FiNS-9p8@S9k24XyqkHL-W6eI`Rt
z>oPm*ySj8*NJewX&67FpG%UGU9o$(y?kpV%S!VuW^+xp<$zc7=jcwqbV$(vR@gZgI
zv8lD^z~RmAUG0*GK*BvWH8m<*Pma^h#KuS8`uciZGO~<{o}^1ru4URfh)^bI(B8p-
z!3fn!@Hp%K*4EV(7+z8$a?pMUf)_{IIGfh;Rz{LX$qJT8k1D7;zBIgGrMg>x|0dz`
zj!m`)qmz@~GJo!d@9D)DnlJTqk&}Uu4}$3*m(@M_RT+bV&7zJAGVvr8o8EOMs#R)K
z+Ls?B)y!J;lXl8oy}rEs$h@biaCB^?(as0TE$>rj#_srU-&hgeAI{b6ae&c2YcusJ
zdtH{}7`D8yka<K+6ZNS`phG{dfI*moqqQ{$MR9Wpaq(?|Jr)Xd@F<0fnZQ!J{^X6%
z_)F&Rii2aSKb!n|#jmH!<B2&Kj3WJb6T>CQ&be^vs?G>3VGm94$3F{39TRq(MJ#Jg
zxTVah6fvujLK-*@A`#IJ?ID+&z9Ns;&k6qG(=(}Il@ZkUd_|AvLMFLw;H(Ld>XLXB
z^ik4P2GwRbf>Gxoe`J^ND8re*yf`{Z!;0#`G9^fI$fG^!elt8e+U5G@=EiuDPqWrC
zIU_ncnu?vBy@7fa3zLC@B2!*mT)cE^7Bm!of|<&6?$;(-e~w!3O1}i7lT<#K)-vvC
z>4IL6mh~w6=sIYTaZ#Qk68x>P$HBwHn+JVB?9H!4m^a<771ydO+ayY=JCT|cOjg@2
zt>FbDhWDZnxGv-_zIUHFO8o8I`GzLW$TP2xSqYd99(?((Swjo=kL?YO%-=oSibeLx
zvTaV8pp$%AJ#cN-TelCbMjK=k<fWSM+&*v}_>zG5-pfy`UBFr-FCjm`Q!?L)Yd@|C
z9^n>VsNYq#MO`-(AzaGRx^DK{+0H1KT^#S~?cFk2Mqs}cMZ<`xi(s?XWmN3OKhp-A
zAsx24v6%X0MnS0ox*uv)(24)8U?$9%QJ~u1egf0p;qA8MNW2V`F5rZJ!G8wLVF5_3
z34Ej<r@@c_@B;5~d@A50q`K-;ccQEWJUCJCZ8NnGnMUd&1O{`!<&6drDmY)oSb#P}
z<9&xf7Wi;fHKPSPfmh31yASj>)S}*On>_M3kwAqtvRjfyKE~nK-?j<R@MG|;f<sQw
zt1zm_Y8FmtDiG0_6G7&LNzii*#HZI3s&AG>dihl5M~beq#BFeOAg~YYGqD}7+)HQ4
zRqpK0;*eOkM#qq@X4~O_<n#9POIhps7=-}?vTlw!YjhW)S>#{6eOSRpKK%QTy_cGn
zt!JUz^2;KWr#VLIUgGOwx)o(*M@adTZcN7wApzh?2I>vf5iki_R%>;)1?H)4OkQV!
zq0bEX!3FCpN)XgGY4Rr7K<`hJk(c*Y7XSBLK|b)P-JYZ+-z3nYh*pr3Lj&?Wa!-=a
z&F$?Yt&q@z3#ME5hJA}#u5>)?mO+Xs<Wh35QXiP<a0$#}3EJRmCWU|}LoL~RWVgXk
z=02Ec+H24()nOdm-F4(w*uYu4v5MQPe|PvgK5zp(<k1*+Pdh;kYW-DX$sfIdxkPro
z#WuK3Vao|&?LRPHI^L+Xn6Xdh_sl&fBV>78jB4oW9cUqdfgwPG{=WdtgX;Q8vhaiy
z^N0Zyo}EZjY^jebU&%^g<+n_ib09mZ*jk|@(c|O#e1T7tsWKG=JHY52fDzctyl8l8
z*O>__7Y(4sv`!s|%yVYfCF_uWSM*)cn4`HxOfMw?nJF47H{($w4-ep<DTAPkHBt|U
z6<=QfBikf<0CMQtLFb?<tH)S90TzxJy|)ioI?(ZO-VHp3yk*TNVhy7xArAW0M{OzV
z>+4H?(Y|eYd3lR)sSzO|*J{zELh?|r<35J>1tCuM&3$ty8E*On4|A~gpb7L^h?~Gf
zr(*u(Eb4pgm||uugY-3(an&E#CCU<PRZX)(LKCtnCr^;3vu*l44!^aft(Ge+YHFm;
zgrCZOyKg1czcN}sL%<@>+(q3+{TPNUZrD{T{l`4*`zMXJw&t*Sl^DAPR22^VKk%_+
zhxOa(sWC{Vm6fQG!?LI`-rFB}ZAJ&wSgPB=jcyT-_OG;DU3nZ{n367DT?s104V@y4
ztLd?KFi?vBY~C$3IBF*Lq7s%OOG+%p^oy!frCy<plvO71@4RStK`LX5R^DU_&T+W1
zylFd{ty(JM*I1cbK0dyKBT?|Uu_q4q3(Xo5o^JXuA5-GBSu&kN7_0@?-`-TDS@HUd
z{<Lg-9X!cW;jgHf2>~O+ozys`T!Lb%T2$c$i=#J5GyB=kNTW@7eBX<SsI)El>|>Is
zs;W68ASChHtvahdgoX^A-aTvt1_mC1aZal*YaRZ+hm@z@;L)I7FfBy}@1UY8VaQ&7
z62P?tdwk=W0ka@(cpsY5dNHMuxUseMq^uf!CsQ4AP11X#q^GyCb#ZZV#2a<S(e9Fm
zui!GwnL(4)lbTzDy)pK~v|lDX;rV2iQFT4?M-dUFf@h?PMlzmJpL({o&rbH7Hs?KC
zSjX7vKC^e{V1=_{t$2|~vfMD7-OwRBqBy!*t@sTLFwNP@AJz>bqFy)YSa1EPN8=}S
zRf!K)&hOU&=F$iqoP2B7aO=^#;(+r=^4{ThuGu)d$*{`KH>)OP$#_&Pp`!K2btM{`
z&;e^4xlf!b5As*Fb7#N@MHbSQIfQYPR1vlzbw?G*d%C`0xQF#8FFU(^#2W8|iWAB4
ze4bniGe%6AUkjM;s;6dWKV1bgM&UxF3IQREj>P$d`0gE_s9<;Z_CyeiB-W3x-ertl
zabOZS>Qg8yDUH8bR_e9Wr=p@_Nn_RP7;g9D=yq+iFuBzpDpaR5m*vQnk1d<X8(;uS
z&MyiRri?&L$3hZw?N=S-IpJ%h5td5qDw*DkjjcX=yh`ZcR!)M~3_2zpusJzHIANsl
zD;Eu(p2K3GPk?QB!SZYSF9YY;Np*bS&79VKbBMBSzkndYw(DF62_HYbuv7*fOGX$L
zir{*YiSCzb!6afPl2c;a(}Gy_{%q-52G2L;_%l%hRu?r|9<*_i;w&@#MT}!?>0wJp
zOR%oR#l<GDuU@?x%F!d{5YAwEC$0^tHv3pcWL>WpJ-9KjX-ZlNyRELM$f}{5TVH>T
zRW_YcQdAfI{<W=yxA&t+anbtLmK0nz46rbI!R|v*V|jV`@zlR@@#|%OW&{KT7nqZ%
zH9@CX{O52>2TN^F-+S<FGBZV`<?+@CR(XaUM>1~MUt?^p?})hWHYn-EB7HQwCOhFl
zx`A_Za%z6`{1x|{f5ceei<uA47zqWuYs4#IG+V<GV|6fpWY;j@o7EK-=1}Qsvgq#h
zn?=^SGbHLq99MWzmkqgOoJV!0)99zbeEvbCk+|^`s*{E+6`Cr2NJv|C@B87-Zt39g
zh_LW*v1V<X_|YvQ`$;*T2Q<)5{fS;r2YjMrvLrquqfK1=@OdjjZAeIg`5|<`HVcd$
z1s1t;p_vGJz{vnF_z3d?1?5Rq^}An-sLygYcnW8p&vK@`5j?>0Tw<N4U9J7Cs+Wd1
zJ!ljksj1R2GTzf1qqHNuDIYz$Vrd4CWj*DeoRQFdg1Z!m`kr5;HfBqEZuOHeq@=8j
zY#NLlB+BC&NJ<9nIi93!R*3&ea>hu^_wSPVB^uFj!CC#`7Nbw4ueda8J6?U_hOm%@
zGQ@u#Q4kdsw$jcuVm;_gBW>Zdy!;JL|EHMiyTQR}ME>+CP8O*n#rF;Y1awOF^3}yZ
zk~6{6aSd9_u(}298LFRSaA`=)a}IvQ<a({vM$KVw^Uf)+QB#eE;#?NdgF{V(*8=+<
zl=rkuPe~z~2W!l1KMcjDJ><Xq0!CNJR1cp1s_A&~LPz#OJvO(tT)@;-VrbtZ7>Bj)
z4YkNvzYzJEiL~qC3#NmQp-=5#EvvAl(|J!iCWH`9j$pCZq)c~mP1xoeV`0D&W4LNi
z4CXgCIv078&b&!^gB;9~9Ca+Ciz;O@XEJW<k~R4Sm$VhNUPkwPH7qO|o<zYSWOSTD
zv=C`DSF-=XFDgIR*u=tAEm%POy-M!O@)5sWy7AMuKMmmfl9E^EuIheM-E-a>y^5D%
zaNplcRAH^?TuKv42IrTk;3OwLLCCNl$;SXzhOKMo#@~0s_CXJ8;MLFP112xr;M{`a
z{;xvLE3By|+WT}c)Sy)9P3eRp5JGtoq=Pi+MLN<&N~kuPR6#H{N`%lM(xeIshAIIO
z0!RnxO;G7_CVn^H)j2nLcJgHJnYH&?Yu3!3-+#*3vN!4;=Iq{F^jz;CVk9O+>#?Vk
zyE~N0ex#@$Rft#Lk^l0=#KW|KYE-F}{;<5P5o11+6!0wL?d_N!#w;<AMho4rC<%i%
zA}xc5%hwv<E(VOINn{@RvMj@n9o>)@WtsJn8$Anu!k7FFbv%<wVBET9ADY8PVO;9(
z#JYw8`DPRL7&I|7$WrsGMREv+C$36T+t-iS^10^2xCFA#(Uv%hhT<zyAHuPRQALRr
zdJ@v-$oxg`q(iP~NMcx&R-xf@V<bjVN+*GKih7D6O1$q*fK{%oiYa`6?kC8zcK7Ey
z>`L5@EM?hzFC!g|#O0QKtwFA%4%KP+6ZE(Thc33}qdSBY=w?eisHj_IP&<zxRqyD>
zd$T96Q2xE2S5#3T(D78Ew}zD5qu{uPTyfUQ^rtQ8LRzE!8?n9(^nl(QF=+~TE(U&^
zV&w#4(j2)z%N<0qvz{nvb-doZX?ytBa+VU#>I#=N&`Mns%FO&Wp^*Eu%#ayX7)Vaf
zg8qIV5r+s1fT%1;yOS`lrZT7Rndh@<QmMssa>CshyR&RqS^rRLVU8WDpo~#R?#23r
zD?hx|f1AZ;W?i#f24PVf5>8PpmQG`zS_4fe@;2{*bY(rL^GUuQr7(?2?6*>g?H>(g
z{fc6(0a0kY-rdBxX^Io<da@_z%!g&0$CDw|tn+w;jW~A*Qfap))hSMydZ=Qqi*bK=
zaa<E~_AsbPpJ_rB+j@$zNgc6<Hx~+pgr*8w%~RX<mnf)bu4{DP6QSL&kMxuL+0oXa
z4VfTI$7uJrY;hZ`_k4XI#`#u;97WOyJ&V@tUETLM&Vl)TW;S&lgkHI%s!h(X^CXw6
zruk?bd-vrxD)^uvgVkhbCyncxQ1%~_#|i1o<B!*?nZ?C<8Sf!H1*LR&nRWMQ3B@{k
z3I3J!d{!qBXA%~-p+nl)&rhXts^17~MSPGAImI~IUcOhYNk{LgT29exDO@{fo)>-4
z;@a+q4^L6H0>j;avX@7^BNKC9eRo|VCneXV@xqKNnvQp#J)=+>c$-#TcdqWN%y4cb
z%e{yC2%i47c1S7t#qIKv@k^`W##hvIx=B9MFcxa}?vQcgOS@K9nOInrWoD}_RQhVg
zDrmlOtQIFk4^3aZ=T%$cd$Xq%D^=n(M%@YbOCWWHivd?qW*mriI8l+pBr-jcO^Q$A
zQ?Wo^=fnT-xW4B$!M3XOqT7-tc{u)#m$L#xyWoqC?oc{P8y=p&Vltn8C<$&)*Oy;s
zO%ZM_P>oV+Aj>P%hE)oN+9ldm6OuYruf8YCBNs0((~WV@;i3!l!l6Q)LG-P>c)_v0
zKKuw;W~iB@&2G~9cGnN>HlKkU{_bm}4{=WK45uOs<CoB2dRE_ve7LeI<7yiFy*-vU
zeeqdAGwfZ>U61@l<rj@y(Ry<?^3tI`#r@kF-NEB9N?k^XJ^8b%6(v;*pRGLfUgfqJ
z@qF-OPgAE#WEuXvZy*Riop5s<bO*^OIM<-(+l-px#mjbDM&wdtfA}uZEFHyFD3}Y$
zuq@PGD7qY$KgIa#hIPW8QfbtsjBsP@COTQ*=gB?=t3*|aF8w`3_mlqNBQksv(;H4<
zZgg`bNKo8?jr50c9qy2c1+0+Y6JOtQ)$`y}3~e)kYPv9?nDaj+?8P3l;q0)S6tycD
zca9Mo-~%bj#`d`k%mJO!esLQQ_~x$jne$gSKS77);ezYF{$=ZM*SHoF)6Y5MPf#*;
zL53eLLJkfsb<}U#Oz<-=HC_IdAf;YJBR+y&D$wZ8$|!A%=2<9s7sBS2nA~lC#o$$p
zlc=D<O37+%2W1DVh2wQ$@!Q{f{QR1#VauEUnlE~6xV8K{(8zVzTq2M%P-D(7P9o|w
zVDjD(dYTLl9|2tmhieo?GdDi!>`Z355R{bC6h^4JpX=w#HGjkw7ZDavMepV`fozH>
z<&6>PL*zTgsq;zrRjX{`QzhCoxy}_jHh{@hzUiu|Fe6vs1Ira}h6KbQG^$?(AbWLb
zuR}LXk-kN3HQWisrJf2t-Ul|j2A?{mgB0jk!(s2xE~b$?u@#M64#K+u0x5>6ncNQ&
z`PJ-n7IuT@obEexn1^Vt$7<`9r-nJema6}AXxV8O14e$StjEAGXG9~ta|)wEb`V`k
zP#2|1fwEiqhq}onqR$$TMWJL?3oHI}S31Hv?zAF4+fIgTAMTNo|FyA{yKe^yNk>0?
z8{@0@j>V-Jl&5yKb*<lKPI%=W%2ADDc3TV{hKqWm!|hzpJgdbvHbNtdPxx;*L*`6}
z9f<~er~XcbZQ((lF)X*vD39JaGxU;(ctZK<el^n*i(bfH=8<no-SpH})35F?WSoQi
z&G+v)bCho0sZ}+>A`l3pc~;((a4g!zGjfYo=88FWIKubh{OGr<F9?n&g9AfS`~_1|
zf$B1wJv4(?dwo-XXC(w&j{mN5-NJ<hM;21jdco}pK3n0uZGP*|4uO5-SOThmtNVYc
z)3Z=4i$cV^(^@MbzMFuAAfHp14%vqFr2(f?gRVZpGDsWfu5{j--JnPn)KDa!rK>1G
zjXMfzWP!0mIY&{e(b^};D}50fRDCCr0!l4GbxbNPhyc~kIpO7rP`bqQ{Z(D(wkIBA
z&23Ewt#Vam3I{SciZn12LS1_=<J3YJgPERnB{I?5lSL)(Vl;TvYRrrEHfAPX>aj%x
zs_gOwDrcnDJeHrVuw?20Bfwwi^9=_r9uo=a*gDArxP+R{Ie9pZ`r-(tcdTK`XM1CE
zb_=UfG(T7iS%dVCyj|*V7!L^P%9+U)hDK)5I6K+78omN0Ap6KR1Donm_BigzY1P%d
z((A1H9@xD1w~VtUZ%u4^6`ehjzh**x3!Bb{Eb`m7R)g|<(47-)?<u72>)-$GlHR#6
zwh<z*M6Pa<oMY)%kDns^*6*J8hc1(xXdwp|7Z1Lu`ahK|b1UI>(f;x3apl{wy1R`y
zl<_B`8)$qP7@`H$Vgro-4TTno0@<red#5q7BfxOPEt5I;v&fr&FC5a{wzRXDR7@i|
zyU1iJExS;#w-;a+eAc<Vyb)Jr+rS@{aV-wjaFtF4L*fm`a)(c{b*<N5EYh2`F?0J6
zsbRTFKY6p~5-lC+9~y*eyZnMxCHH$6CKyXJzTp2$_#BP9<E*AqikCC581#GKyX7cu
zLo-M=$#Xk9caS-^#4!=4nFbNfZ8Ls}zQn4hc+B>|`ls@74Glp#Bt<tZJHXawx>Hce
zl!pq(BdYOI^Okwm^tYd{B943><x-&^&_d5NPK_~TZjOhY?H}YevTe5Rrj4<Wz=$Ea
zhV}3$Dc51VQ6hUmnDsVdj=E2)_Y;4uwj_Fan6Z(zkvfok?a<m7UU_#W2x&b|FSdtC
zoN8-qJ#8AZ-p7J$^IWW43-y{)IG_RdQhjiAjt^DY7u~@W=i7}BFe}!pU3up@Fc27h
z{{CY%pY3X>yqy33XkPt|3LGl<5z!5e1^LY*Po@klP)kaNR_-KN>H-Zuys2!~+oH9L
z_ZDbAYIF6u<V$~oJBx}&4ShxB(a=U(XtAmYEN+WSOZ%)vkn9KFL-Ed7hTk=+JJm5D
z*nt>ti(xGb1k<gaz$iqHtb>~BNTi&HN2A)*h)yO%q#=fy!gWCTUrHz*MP+=JZ%Ax@
z5a06B&f6FIW83I<)(v}}sya3v4GzdDhdZUWe9ILNvrd{Jviud&MtCV2t^I|tvg~7J
zCAmYAVBgkMB`k=zSQCOJd{$)`uySv|ivNbRJ~|ar-g+^%QY}VX6%-k8DKW@7-sxAB
ziouQZfZ#<L-0OB?B6xi<=5_f;9``8M;SoCLt5~Ok4yf#?fj>z63l*#epKi0g(+~)h
z+!ZM`M8DYIOy?jyzU!j>`O|Vmkabj=8u`@rU6=r}M!v;627INIAp0A?=VqyZZ<jS-
z$X);KQ#FI=*?4Yk;o`MQD_(M`d=bAFIW0YFc@5p#^p4$i&<Tvgu7i3Bc3PsK5+Kt|
zmyCd{_Z=TUXT~J;G>=r)+J)_N&%!L?8?NU1JH@8XF3#V?=Ste@MADO)C@z)f{7xlc
z=lK}S-ldNGAe2RXM`coeg!tUwdBDZ;<=1G4P5bUy`J}&D4s5xVSa>YIR#bFqY2Ij@
zsn)unMS6bq(|-(`XI&G!J&6X?j$EruDun<<$S-@JD%G|xspIa2^s;>Vh7x2<k+6Jn
z862u%Y<zz&6&K5j@BK#VuQ+_yYgY2GO%Uu;W|^Z=!GM!V0zG?I_4C)XopJ2JRR8Q#
z!FTH`XIzW@dwNF;Lk;Hv0xnL<4;VVwT~lDV*LlPTK|CbA4SGmCx<CWUGUAb;2ACtH
zz>J8hiU44V!VxU3to8wNwQz7^S2qjR410TeIyU@}ghC*jR|^)dSgXN>Dv4!niuc2s
z8d)HO@K)}_Hh@env9Q!DL4QZIMg9EDR&q`LjfuWKQP#_Q%ogmOUa7^a`IsVb>?1FU
z-9g=&J2)vVRX$=zw$I`L2WA{miNP%EW+KtY#}PmiQqRz^Yw;&Z;9SRptQl_AX?RFT
zi03{u1%{cn;UzYXQH}hw3n14ZK>zN8eegj5A_ny109rdat<?j7y<p|T+}yk~ga3Nt
z$#%=yWW6|X-#8HJ11HY?3{M0bBLO`N(2w*4-WU|1+4lhj`xKDAHU86Z!2I+90n-0M
zLKN_beL5h?xBSwlO8Ey|K-0#Cg9x^O-Q&)nb3~#W+$QSX%W^o>A~EN{Bm)6eN92_N
zI!Pp;iQryEMGD|qN$Gp<n3*w;j*eDXzk7Hv6PZ2_gdc$dVO9Iz2(Uym-X5!NqIM(%
zK$wL-@#?OP-)8pqhEY)n;tzm(Awlf*2nvaa$N~tJNJIMhZHW>%6#cnGMMb;1y1-f&
zMPFYZP#JyyFAI;qMS>euU>DGqouAJ~#lY1At^ru1gQq@n9s_*x^3O=gsbm7@G{nTk
zCjeFHSp6Kx(Os|<2CO*X0FE0q(Lhut4y^vphvpr}d|Vql0$}snSmov6;bHs0kCXu2
zNlTV$E-`AS1`Ua|2okNo#K{@4<eA<bJjF4{qZ)BKT@N^)_{mAzn6nKh-uK4g;fGK2
zsOi`PanUC42X%O(iG*GH$-aSf+pkTv3>dENBGEfBaav0~_$#b*+>u*YAazL82|fMU
zoo-)URfTD2XwW;!^?w5-Pk6#SS)Eq~-w@U1j3ztTT_-bDUn+umKqw#xZvqEs+4+!M
zRs#SEK(iumo#{D9v4Iy<@I^S_XNqfTGQWN`v&aTe{WI`xrs1~^c#I<NRM5at2LUGX
z1t|K319{TJk-WcJmX<7lvUA^C>IJy+dEHKGVj`caDt9%ZA7Bh7O=;h^mH}oi0%(k(
zp_>REMps;lcd?0A3e0n5Cy#@}bpYuCWEg9;+#J9nzQ&*G%1U>@iUAnlEAX${7$@+i
z1EA`kgI>#3nL9Wbf#v`_q2n0aps%lgbM!l)A!J|vx&eaQAXMiYyDQmJU{SO=h{>%A
z0(hyyFC<iG^Aqg*x2u%{-3MVR!uNkhKKLKmr?TZ#*h(Al3o1ATxVrSeihTz#u7X4S
i|5C{R{()LPjy=s>R5Ukz+z8Z@N%XXhwW>6oAN~(gIf=*s

literal 0
HcmV?d00001

diff --git a/docs/manual/hierarchy.html b/docs/manual/hierarchy.html
new file mode 100644
index 0000000..5b7dbca
--- /dev/null
+++ b/docs/manual/hierarchy.html
@@ -0,0 +1,142 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Class Hierarchy</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('hierarchy.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Class Hierarchy</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock">
+<p><a href="inherits.html">Go to the graphical class hierarchy</a></p>
+This inheritance list is sorted roughly, but not completely, alphabetically:</div><div class="directory">
+<div class="levels">[detail level <span onclick="javascript:dynsection.toggleLevel(1);">1</span><span onclick="javascript:dynsection.toggleLevel(2);">2</span><span onclick="javascript:dynsection.toggleLevel(3);">3</span><span onclick="javascript:dynsection.toggleLevel(4);">4</span><span onclick="javascript:dynsection.toggleLevel(5);">5</span>]</div><table class="directory">
+<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="dynsection.toggleFolder('0_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_base_classifier.html" target="_self">bayesnet::BaseClassifier</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_0_" class="arrow" onclick="dynsection.toggleFolder('0_0_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_classifier.html" target="_self">bayesnet::Classifier</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_0_" class="arrow" onclick="dynsection.toggleFolder('0_0_0_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_ensemble.html" target="_self">bayesnet::Ensemble</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_0_" class="odd"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a2_d_e.html" target="_self">bayesnet::A2DE</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_1_" class="even"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e.html" target="_self">bayesnet::AODE</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_2_" class="odd"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html" target="_self">bayesnet::AODELd</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_3_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><span id="arr_0_0_0_3_" class="arrow" onclick="dynsection.toggleFolder('0_0_0_3_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost.html" target="_self">bayesnet::Boost</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_3_0_" class="odd"><td class="entry"><span style="width:80px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html" target="_self">bayesnet::BoostA2DE</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_0_3_1_" class="even"><td class="entry"><span style="width:80px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html" target="_self">bayesnet::BoostAODE</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_1_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_1_" class="arrow" onclick="dynsection.toggleFolder('0_0_1_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b.html" target="_self">bayesnet::KDB</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_1_0_" class="even"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b_ld.html" target="_self">bayesnet::KDBLd</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_2_" class="arrow" onclick="dynsection.toggleFolder('0_0_2_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html" target="_self">bayesnet::SPODE</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_2_0_" class="even"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html" target="_self">bayesnet::SPODELd</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_3_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_pn_d_e.html" target="_self">bayesnet::SPnDE</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_4_" class="arrow" onclick="dynsection.toggleFolder('0_0_4_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n.html" target="_self">bayesnet::TAN</a></td><td class="desc"></td></tr>
+<tr id="row_0_0_4_0_" class="odd"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n_ld.html" target="_self">bayesnet::TANLd</a></td><td class="desc"></td></tr>
+<tr id="row_1_" class="even"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_network.html" target="_self">bayesnet::Network</a></td><td class="desc"></td></tr>
+<tr id="row_2_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_node.html" target="_self">bayesnet::Node</a></td><td class="desc"></td></tr>
+<tr id="row_3_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_3_" class="arrow" onclick="dynsection.toggleFolder('3_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_proposal.html" target="_self">bayesnet::Proposal</a></td><td class="desc"></td></tr>
+<tr id="row_3_0_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html" target="_self">bayesnet::AODELd</a></td><td class="desc"></td></tr>
+<tr id="row_3_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b_ld.html" target="_self">bayesnet::KDBLd</a></td><td class="desc"></td></tr>
+<tr id="row_3_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html" target="_self">bayesnet::SPODELd</a></td><td class="desc"></td></tr>
+<tr id="row_3_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n_ld.html" target="_self">bayesnet::TANLd</a></td><td class="desc"></td></tr>
+</table>
+</div><!-- directory -->
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/hierarchy.js b/docs/manual/hierarchy.js
new file mode 100644
index 0000000..5202a5c
--- /dev/null
+++ b/docs/manual/hierarchy.js
@@ -0,0 +1,34 @@
+var hierarchy =
+[
+    [ "bayesnet::BaseClassifier", "classbayesnet_1_1_base_classifier.html", [
+      [ "bayesnet::Classifier", "classbayesnet_1_1_classifier.html", [
+        [ "bayesnet::Ensemble", "classbayesnet_1_1_ensemble.html", [
+          [ "bayesnet::A2DE", "classbayesnet_1_1_a2_d_e.html", null ],
+          [ "bayesnet::AODE", "classbayesnet_1_1_a_o_d_e.html", null ],
+          [ "bayesnet::AODELd", "classbayesnet_1_1_a_o_d_e_ld.html", null ],
+          [ "bayesnet::Boost", "classbayesnet_1_1_boost.html", [
+            [ "bayesnet::BoostA2DE", "classbayesnet_1_1_boost_a2_d_e.html", null ],
+            [ "bayesnet::BoostAODE", "classbayesnet_1_1_boost_a_o_d_e.html", null ]
+          ] ]
+        ] ],
+        [ "bayesnet::KDB", "classbayesnet_1_1_k_d_b.html", [
+          [ "bayesnet::KDBLd", "classbayesnet_1_1_k_d_b_ld.html", null ]
+        ] ],
+        [ "bayesnet::SPODE", "classbayesnet_1_1_s_p_o_d_e.html", [
+          [ "bayesnet::SPODELd", "classbayesnet_1_1_s_p_o_d_e_ld.html", null ]
+        ] ],
+        [ "bayesnet::SPnDE", "classbayesnet_1_1_s_pn_d_e.html", null ],
+        [ "bayesnet::TAN", "classbayesnet_1_1_t_a_n.html", [
+          [ "bayesnet::TANLd", "classbayesnet_1_1_t_a_n_ld.html", null ]
+        ] ]
+      ] ]
+    ] ],
+    [ "bayesnet::Network", "classbayesnet_1_1_network.html", null ],
+    [ "bayesnet::Node", "classbayesnet_1_1_node.html", null ],
+    [ "bayesnet::Proposal", "classbayesnet_1_1_proposal.html", [
+      [ "bayesnet::AODELd", "classbayesnet_1_1_a_o_d_e_ld.html", null ],
+      [ "bayesnet::KDBLd", "classbayesnet_1_1_k_d_b_ld.html", null ],
+      [ "bayesnet::SPODELd", "classbayesnet_1_1_s_p_o_d_e_ld.html", null ],
+      [ "bayesnet::TANLd", "classbayesnet_1_1_t_a_n_ld.html", null ]
+    ] ]
+];
\ No newline at end of file
diff --git a/docs/manual/index.html b/docs/manual/index.html
new file mode 100644
index 0000000..fe22924
--- /dev/null
+++ b/docs/manual/index.html
@@ -0,0 +1,114 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Main Page</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('index.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">BayesNet Documentation</div></div>
+</div><!--header-->
+<div class="contents">
+<a href="doxygen_crawl.html"/>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/inherit_graph_0.map b/docs/manual/inherit_graph_0.map
new file mode 100644
index 0000000..d8b0322
--- /dev/null
+++ b/docs/manual/inherit_graph_0.map
@@ -0,0 +1,38 @@
+<map id="Graphical Class Hierarchy" name="Graphical Class Hierarchy">
+<area shape="rect" id="Node000000" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,177,173,203"/>
+<area shape="rect" id="Node000001" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,177,358,203"/>
+<area shape="poly" id="edge1_Node000000_Node000001" title=" " alt="" coords="188,188,220,188,220,193,188,193"/>
+<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,128,546,154"/>
+<area shape="poly" id="edge2_Node000001_Node000002" title=" " alt="" coords="355,170,424,152,425,157,356,175"/>
+<area shape="rect" id="Node000008" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,177,531,203"/>
+<area shape="poly" id="edge9_Node000001_Node000008" title=" " alt="" coords="373,188,421,188,421,193,373,193"/>
+<area shape="rect" id="Node000010" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,276,541,302"/>
+<area shape="poly" id="edge11_Node000001_Node000010" title=" " alt="" coords="322,210,362,237,407,262,432,273,430,278,405,267,359,241,319,214"/>
+<area shape="rect" id="Node000016" href="$classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,79,539,104"/>
+<area shape="poly" id="edge13_Node000001_Node000016" title=" " alt="" coords="319,166,359,139,405,113,430,102,432,107,407,118,362,144,322,170"/>
+<area shape="rect" id="Node000012" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,325,530,351"/>
+<area shape="poly" id="edge14_Node000001_Node000012" title=" " alt="" coords="310,214,352,263,378,289,407,312,428,322,426,327,405,316,375,293,348,267,306,217"/>
+<area shape="rect" id="Node000003" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,79,725,104"/>
+<area shape="poly" id="edge3_Node000002_Node000003" title=" " alt="" coords="543,121,613,102,614,108,544,126"/>
+<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,128,726,154"/>
+<area shape="poly" id="edge4_Node000002_Node000004" title=" " alt="" coords="562,138,606,138,606,144,562,144"/>
+<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,177,733,203"/>
+<area shape="poly" id="edge5_Node000002_Node000005" title=" " alt="" coords="544,156,614,174,613,179,543,161"/>
+<area shape="rect" id="Node000013" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="608,29,724,55"/>
+<area shape="poly" id="edge6_Node000002_Node000013" title=" " alt="" coords="538,119,545,115,559,102,568,90,578,77,593,64,614,53,616,58,596,68,581,81,572,93,563,106,548,119,540,124"/>
+<area shape="rect" id="Node000014" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,5,939,31"/>
+<area shape="poly" id="edge7_Node000013_Node000014" title=" " alt="" coords="739,31,786,25,787,30,740,36"/>
+<area shape="rect" id="Node000015" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,55,940,80"/>
+<area shape="poly" id="edge8_Node000013_Node000015" title=" " alt="" coords="740,49,786,55,785,60,739,54"/>
+<area shape="rect" id="Node000007" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,227,728,252"/>
+<area shape="poly" id="edge10_Node000008_Node000007" title=" " alt="" coords="544,205,614,223,613,229,543,210"/>
+<area shape="rect" id="Node000009" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,276,738,302"/>
+<area shape="poly" id="edge12_Node000010_Node000009" title=" " alt="" coords="556,286,594,286,594,292,556,292"/>
+<area shape="rect" id="Node000011" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,325,727,351"/>
+<area shape="poly" id="edge15_Node000012_Node000011" title=" " alt="" coords="546,336,604,336,604,341,546,341"/>
+<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="410,227,543,252"/>
+<area shape="poly" id="edge16_Node000006_Node000005" title=" " alt="" coords="543,220,613,201,614,206,544,225"/>
+<area shape="poly" id="edge17_Node000006_Node000007" title=" " alt="" coords="558,237,604,237,604,242,558,242"/>
+<area shape="poly" id="edge18_Node000006_Node000009" title=" " alt="" coords="544,254,614,273,613,278,543,259"/>
+<area shape="poly" id="edge19_Node000006_Node000011" title=" " alt="" coords="540,257,548,261,563,274,572,287,581,300,596,312,616,322,614,327,593,316,578,303,568,290,559,278,545,266,538,261"/>
+</map>
diff --git a/docs/manual/inherit_graph_0.md5 b/docs/manual/inherit_graph_0.md5
new file mode 100644
index 0000000..6b3e630
--- /dev/null
+++ b/docs/manual/inherit_graph_0.md5
@@ -0,0 +1 @@
+1a07b7de87ded37a8a348204931028c0
\ No newline at end of file
diff --git a/docs/manual/inherit_graph_0.png b/docs/manual/inherit_graph_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..e413ba93aa4d7569bc4b68876f171b64ca2aa0e8
GIT binary patch
literal 44422
zcmce;by${N*Ee|52q+>5C?KV@5~8GpbV`RHEl3GSNP{47(IQ=<Al)e-DJdyRN=hq8
zNK4JS@cCxmZ|0kMkC{J)=RS_dTfHyNbMLj+`qd^_MOo%N!BqkTLC(v`N~$3URw;sD
znBn8X@9aLPTZR9_HBpd}L{8EFdt09!jUaT0oTRvhYs%`Rn}&u(lIX^|p06*VAL>SR
zX@aVrf6{Ue<@o5RxWmd5x(#*az~1-HJ^lQzrV|D(Dp?G0SXD62-sio_d&`#ka;;KA
zu%aLd_rQCZIX^#*Fq9twfrdlcG_7pFB^L1)_xHW~YL@KRJ=Pu5KEyfx`cc1EkC6O7
ze5r0_*`)sa8}~fZGcpdbmhD!Aa~7UGdnSLd(L!uDQ9n6F{`n&MBL-TOSTAGF+|gSS
zzo{)J_ZdM>t38B5br{fJwVc<kUCXqq+YHPo+<F_gu$1Q0zEa$1VEwV^oFo0&Utw^k
z<1h(Ep}&^jH8aGW{R(yM>VNl}GOK6bUNuAT`5N`5OP5M)#(4CyznbwXwRCef+LZQA
zPSRvZhkuHGAYvJv;(fF!Q()M5?Y4PO(<^$3yvn781^U~!Nq>K@Y=M9OQe~@$H02jJ
zgv`#GY<W+9d@ds<hG1f1azyydh4Z~iOEa9SnVXyY@$1)jy5kvHj<dzPlV|9CfRoH;
zSLJ+_xWMQ1L{>o||64;+mhnPYY_<Ci+xHK4#1<A7Df|wYrtM+P-z%+cUoUmVvX@#7
zv3YJZ;|+bkL`phPZt;M_ppKH1S-CYMQY2(zLLU*ke;-phRS?I+!-FMrV@TVOo{Q_^
z)?%-JmgOR)oSYoL`!-8RXlVXThOe$PO#hZTJ|Q7tU)#{DQt}twy?c+g-Rn^({YLLc
z1cZdv6P%)=hP+Do3bKSaI5=ts1_rhsZf-UDwNAOibBavSWMpK60_Gz{k8a$!k*O?j
zC0rVV&eGD7d^}q@l}#e(Lgi?dWs-iiz4+6~TFsjgl~v#WYOBBb@O1JL1qDTLczA4;
z?RZyjGGDK4TU(onogF70@ipFcA^RCIx8Ic`l9H{HlaKD&em5go?~Gzh|Mv5`fWTN?
zZ-4&-*ton#${jN<%Ii!_(&$nf*&dtwAL}a^{rP214$Jb6dv#5X@vp&L7B)6a<b76F
zy4`fc^0#bac*z5viC3>KO3KLSwQg*0w-!D6h#(yiG%dauSThR?IM1Iy=XhArDLnhZ
z?DM7l{r$HO(nOYr3#q<-`-Y*R|9y3K)^8|Zy9K^HgV)2U_zK#od7oUoW!MnLs-8v1
z%6bkd@jQ5jjf<PK_0glANjih1p`l@M=lF0>qIkq~w8Yrn*||-Dv;O6uKYu)`hK3uH
z{$Tq;{j@;&Da7BBO1^8`Q%sMTnVWy=?L9x&9*%|Z3kfl@u;4@OJT5$@6m(+2J%9CO
zq{!b+E1!SoASvK)L@VYic=ONw{qft|PMf>CaZ;h=!KhBt$a_qmKYvcQOrj*h{rTmc
zKYVak1dY&p^=xG|EiEX8+}zyR*;$4UcGGcCnIYNP*-%_MP%Jlug!DW;J+IT#i}$^`
z$Nu!`Q#BnOmdB4D|Jfb4QxFsLMWIsed1xWBPoCtEUA`<QEgc98KUVfQbSQygNQPfs
zO>KVi`E;Q}{j=*Xf46^@+5fojwh*gr))m8=KC-gV8cfQ-@H#n}y|1sY%x+p_3;%s&
zWMqMU%~z}B%9Ej(Y?Q2#(OdMxNJ_r(IdMBjL{zYI%*MucNmNu6-BqOCFGlH*MBxyU
zqu{CCCZRl-9=zdzRjkx;Sshhfsj>PL^{=m3k(1xj$A`TQqZYW-FLKDCrl$7R@+wqe
z;Fm8d`ZdpRvLB=cW@IqJAqtR-W@<L$NtD5UzBUnT`7NvY^XGFOduvj<x>pwa(}+o4
zeEcZ%simdVWA7;n9~LSqApv!C<k{NRrb(r#UuBc%hMD2(i=+rTcUko$VdLN!H~ZmK
z7Ge3K#3bLw+=pVLXV7W%zK75W2wZWmzXk^x8*z1WqZbyY_Sju5{jL>%q8S?<?O##B
z+mj+did-Zo4}@P+5(QcvUK8=8^v5HXE;gv&m~iaZ^%6bYTPGG05(>3FI5_C+>MGNL
z$|`8j<?K^dlth1p_jPv@iin6TI{Wze*i1Lj2&P_u*J(?-WBvBqPcArfj>hxz^Diyl
zxZw&tUz0R4qT5{^^Zz~m0ShTBD^t<Xcqv2cH8?Abg-ay1K2^WD*+DyZyf-bQuTTAV
zZ$0vcLfp*H?6kY<Bbf>mThp+cEbQ#%SGT;S;EeT1doK1|*<KkTc5ra0w*P?{c%I6<
zwDH3SK9}F$A6FLMI?lI(K6Q~KjFKButnIye?5Qv+JRAp^sB<HAT<U8(IX*0flUTPu
z8>%9&`+NN7w`^{wWtC9d{(F1WCMG7ow!cqsl9!&n>EJTFx)JZyA2TxuvVU^8j&7CI
zLM}w1<Tvk2OXD6LA7dci-rkFI<~<27VB-~&@1BR}UGyt~qFElyC53_2)23x$a1FNA
z;pf*I!kew6_=JQlvFzHfUcK_AFmP@5>}N)nof-{d*q*OtRFap!(;)BH)zw{|sJVTC
zR>Wq&;GkB=x_nsF!eYs4Nl{+@)7MM|l55wVPVK@2nRdtBgx8aDa})6M_a7*FB$OiT
zb_r(Q-l~kHB`dlf1soSA`nxy8Tm`uQ4GnZtyUebIAQ7~p5zr|ZIXH;M#>VU&9VOC4
zybuIRMqEoPuBL?go;z<!N=k`QGp1si$fUlf$j+cT3kyrraG@SOL+9tu;`a7jucM=*
z5)*?zM>EgCc-h$45VN;0Y0EIOGQG)!@bmL0F#BTq+BF>Drg{IhEL=hC7rHJ(>wtf#
z`Rx&Udiv$>mF&_H)WPRSnP!4$y_*`m4iN+<K@02@2|2lW<!^)I{G_EHEkRMKso@C;
zl>2}GCdH#r_(yPL`Mr<$8;*DN&=amZo>N9wH&I|ZFCK$}jI7Csi;j<v!qDgVj&%4{
z9AaYPo>ZZc^hP%~H~!~q`jwd#729u$MbFkmH6wSuRk_}M=k?5t(ZI?MOb9dRFzALR
zouMindF>`F>Fn>{H-G&20TYw)&6_vqM#I1WMTjZp{r4wxXtmylr?F6ja*@~WwKg}4
zoA)N&$jr<%;Yl=`?~MAIr9^dw#|*W9aPYa-c|~%5Bsf)G-dpLOu&};~scB(58A+n3
zPXl!3Zss&kn5Tpkw_?1H|0d39JSt8Z&HeSY#?j)6sCQk8fMdI7&!2_vwy7zDqoX5e
z5>n><Z*EFw44}K*WU7Uv<V(c_u6ONwna|g!%3$x@mQtVREf9#|UZ7@SxJ)XfIeF5_
z7}>cxR^DdBrPI2#wUy6(0TFmMFZ)P@jp5mPaOyt@^s7)r%0{!Mrsmnfp9QP&{xng$
z%^ofPW+QL&RoEyNKoq&$1`9+j6r2VXqeYfUP<m<&hif0*MLnvj5*RM`M;3DMP|1sn
zzn~U)Ci!P;Yh}Wv_~efC8>IyUDUS8v8))2+&h)KN@59v(fHd?90290`DY?k};7x0u
zX8y*M$NG?~K75Dg>hkYk;_k(o+Hzww4Grxym^_^O_3NRn-+PbB$$X#iC=17CkAEmG
zN4M+q=jJ-MEiTw)#U$R(!#`DSH~*(^=auif4m`eh;lb~f$4{HWJ!m%&IK)v=Q3E+k
zZ-a>cgBtZNs`h7_Y-Bn7N+?vX84o>WeJYK&AA)PhvLDi<ojt?uJ0jIIj`4&Y>$KnU
zsAPCJSB<^(3_0eUgC>QCvHS$ks`#S^ii(PbTT={d3^+b2xjF>m9>`R9obGv(h!FqW
zi}#G~bK<-IMC>r?VlPZFEaSZOxMD<%@m2+sP7h-YGlhcgJi(a!55KkLzoJbfr{800
zNHP9_(xjOB`s1L5g@wpbL1HU@7Z(=`<mg-dZfGRMqcwcRSdF?{g4_NY!tU42f=0c_
z^SY?m(q7Sg&5~et3L-He*r=eCySyK_l#!iRfJG)RWu!u&n-rMl)Z`-`ly*m)d^Kw5
zHVwt>oMt$&PIz$e0Tk&~HrsSTQxXMei-Rwn1XCyXH|GT8ln6^<&H^0zt~<^wV&Fs}
zWAsU?IT>?X+cyiFz}F8`uquezccS*qH~sfXGlUvsd77abEZctPTvQO>OZeWytY(&e
z9GUjAz6ywUgLc$I3cjZk_Oi0F)zdA(RvKz*CY7mDXHZv_F^9vzk+<&r+q6q4Ofn=i
zU0Z!aI+kJAkQim^K;`70o6Z%0%XxmIK<&MIi<x(qY$d~GKMssr%^0F~M6GTtH^K+o
zd}3l^R{MH-Y~F7Seh=>4NvbMGoz<X~*yd*XM}DGjw=nI_&E%6|V`_4*Jq*us+TTO@
zKU2V%QdxE;+)&91ktWgCBp4G6uo>9!$K18_BUI@erjAPGmA-t}aw$&-@TdhMQa*H$
zyJK>;R+58APh0*4JHnX^Y?B6?YL_Gg3*(5U$p@ozm{tFaFQJ;>YPkAfZ&qjOvhk;X
z++$gMc~wIrL^utLL(7-1Rlo8fyFqWv%uL`WTP?Txbt^fiy{Uk+6KeH%{k<f;A%>nR
zchW=8>`ZFkO#>OM4eQob)I;is)=TKtb`Mo%Vk`0LJDw4((VH(n`O=LO)F_L5ncvTn
z2n&+Lu;K`5Bu>bcqHg3-{2O|`gEfvz=-KqRJ8n!cmMO#XssRASP}{Y&HOf0yWN$qG
z$c<mueDM65?$%uDV=P2+HTHsi>qQ)*pilS+#>HwZU*ruer^hRq$%~atbtwt(tT~B)
z7vc>|+_ud1vNxO1L%yP-LhyIK<yEaB{os7<;&iXWU3(Xo_Fz(GF7qDBf=3^##^!Ym
zsj_pDsXB5i&d&|$QTYwdpBK-&-Sy+Vcs1s5%7I0NT?{E{r5N>DBXP%{sCK|&@B=KW
zW&IJjkD&7}?95-hk*{=(jp_CE_1}Kejj(=_6j)a$>;$Z<eXgs!+hJ=_sk*jyn02wz
zdPGG_ORIQ-fsyg1v_ZB~av*^5*#HUyE;~{ZfHQAlqQetb@lQR}vpxQpCQREJc#e%q
z?5^)TlMt&aVbfWMNjL8?<Dq9`BLEl%05?I<nJpwF1VI24FOPrVgqea>Z(!Fz#CQEV
z_Q1dZIk)h=d!^PRw~(e%(+)19CNyko2ILL^!w-cZaU8msw6wI_KfmEk);deLy9@e;
zC?r49*DrD3v2t~FP2k+DcbE$tO7O=$|7oE+p8IhZ+4UPYFpxM-!-%FPF-Py`#Urgx
zct4GdjMO#woO%PGCZf7aR8&;t`ZF_L#lXP3{~wh)!#k3NQ!ropyiN|5)F^)b{D~=+
zo}PXkm>ZClw()U2@|zE@GcZKn+fBI6%p96!X~ISM9?042#6(shm(^E*b>(0HqfpQh
z0PloOG<fMfovLGnX<6pFX~KHzR@~~U&F1E2)XSIH0v@{sK&s@7jo-z@#(o~RYrKhp
zfx*D=Y<E=`gYMnCcWN3M*RNc;0>~aJ@urq(2nx1M6L5CVvAmpI)bnYt5ADtw11t!7
zQvY{cfP{pbl4y2rj*(rvsN%bMq0gNKU5YfHlbW8y+e<0oqFR!L1TtsyBdI2Ukm3_;
z0i#SrYk9v&XiN+lRE_O;6+JI6nRbzWGa$wv%gZPrJjP$&%W)+t?*HlL#6SS*wpLhv
zn*roo@3EI&P(ZY`)E|Uuf{y~!Fk0`yCy5Q@R8~<@(%V}EC{hnM+fBVHqW>rW7cXA)
zg^$z?*NuMrmX1TG<n6HY+u3JEBrntmXoOr|qKuCJ?jXMN^JcJziYfdg2(Zh5jSYL4
z;~iFdkN(O?_R^lsFQ~!)0?^T1<R3r}0FVr5IS{a4Q(w_+?oDN7W!J?-ixS5r<pf10
z_#8Y?ClJK!@#A+nIru;bS^n<+4h1}B0*G2g{vF_n{r$N}sMHHiE5qkcPEPpkXMCkZ
z9@RQ=pZ;E54J#|-$>(0zc5>pK^4wCY+ZonF|NW>pZzAqk4+9>X`4m7%dDkYP?PO|d
zs@m!2>!GUJ?MPITsPZbh{szNfq%}jeHaBA+8^8!MEc)N@yR1?|-MtJ8BicVa#6pga
zyuBut!>-)Ec=c)snoI$76_!(rzxC)#t~xUu)P&F;IO1d!6mtNSU1x)t(QF5{osOO!
zgR^b}vpt;3B0|sk6H|>NZDD1?`OGrczOJtOOMR&h`y0lgyImt~579{K-T^7e9m9Xk
z#j0JAiBzjV2LnL^PM7tm@RAZPGYg9rpwwP}w=od(;sI!1{Pb*ldBFbJvrm3Fgj`;K
zog6n02Gt+Dd;1mvczCCOhKiax47LzRv&o<N&($u!uL=tbU!<lcQu?@;p-|X{jo{(o
zZDFe*8@+tfGv6MF7CO@)Mfx?E{>_Mgvo99j1v=;)k3PDzfsVm#{0SQkf=55t(fWqy
z2JEd*N5XUE+wT3Eo^(5F|0I>}JE^0&+QkN!sHr*J>kVLb1D1c()zt-Up=)^{qphVy
zqOQLF1{#Q(n6!TTrvA*)QA+aqty{`S=L6AWGm_^k!-ZdgS^ONx2m(OgS)g0~zM?_{
zR2v|_YTqj?86^UVNPt7@et4RSIua~Zmy-(?P<C~#Zf$RW7|zPT<8$Ka;NlYZK;!^+
z8Hh6rl=AJ4+*$*HQuU!sU}ZesN3OtA!VVIkiG|kJ*8@%th7Qv6=AK@dbjHwK>*IXZ
z{@Uv4;MDXB!6Jg1Ow#W=Uw4uTP?kRs<XdG9&snHFrMirsiaAq@J&BIDSXerr!|B`+
z>@(tOYHn_xeWQV(>7xFlN4@<v#|KMkKYso^mr15oY!D6{XoTNQ)xm*V`HgTe2sr6L
zXBU4n_yJ`(2Z9tOzr9iYnswn#CY8;j(cRzUEmI9Y*38*CI9d~LTg<Gi5I%ptCy2(O
zJH3w64PLTJO1%%u&BG0C57EQ1_O7cwRv=q|F@lM>-bYwsuvn%qVl%VcaQ-c%YTf=1
zwqC=82A}Wn@xzA?ZME_76d;;8{F#?4cvwlWUcYA$-l5sY<;j;x1}D<PP+*vx)VHSd
zsVwwy&~Kj9e_tDF#Ou8+qO^KGb6Nd@@P&Ym*cmwl>;3HA1|G!ad0f|z>q7Wtx=ojc
zX#VvGawcYGJUG@Z6E%*i(<Fwq#1Xe#qFDdDVL940xq^#n{{<sU=mT@Ij~)A4rAkwr
zivhQl;@Dx#{e!syn|pgQAkY+kdvZ_SE`~i|NbLgOG8d&-&EU@Ss{2=b%fpjsRS8@E
z18Fb{iPe@cBqi74N2GpeW=dcq=Y9Pv=QP?Lx0f>#ce!T1$~;#VbDtbrS3am<e1X6G
zj*df@Svs4}KM-^0)p=5lyS@p!cneBG0ooYC#O!SaETh4JqU<yTZ<}RUg$ay!$ZA6n
zWkEUysXt`)*Zj8R=@r(FZeHM@{&qoN(=;ac+(%h6$Ny-$S9QL+I%9}AY2?+h`UT{$
zn0Gtud6i<~1hk$P|K&Q=d+IJm9XkG&N^xU|6%ap#;C=`lzL*`0lLpgF`Z<(h6egmZ
zL)~0|JDt$O%ogCK@>Qvu=V?nN&`s<my8eows2gDJRVfEtZOT-L2Lab^heQau7|SN|
zJY)<XVbWkVSKxIjSijN2d6Hdyg=U8Rs;8>%Jew<PlRE2>G<M%}mzx1iU%te%b+opY
zaAh&kGYFBAl1k(~{ijZ<lJZ;)_wa#HeNFWAsN5~N?D?Q&y|lY!L!(#g+UTO9e(&tP
zSHvWlgKZwa9hcsWE$1|TK2(bsk)+pPzDPng`GEdlKvEN-+v-#6os=qKS|ph)RoNha
z(I;o&MYd-U&xVJK3%KD!LoVsi7=@wd3wR~X@xFgViYoXZd7C$JBV7%JIfH4Gof_D-
z;-|S|XgioL>?7u#Q7$3OyKh5TY~?*_%NRVyY}<w*qOwt=KK~bgCW9?RpBDMOzG{VO
zPa;O{yM>uDa;`6a<<&yT^C`Z8{!@j*ejFw%{B!5db@uekpJ}mCg;KOJ?~*>TFD&f)
zt94>+7`q7!-%wI%92MlVx|-}abc%@|t{A1P<hAA;J$Mr=fN~Af1+|6dFF*JMUz9t|
z;&Y5$_*eN%mtxr(Nt^GV$A3A);(NvA+Gyod6wh}-zOwN1bAw<b*z;M#qGtym2V8Rc
z@X>uucti3Vvkdk>cpR=EDRpvLoo@d*$x%6e!{E=2!M_f_?5dQ*a~jqr7(M8jnA(SP
zRoL7Aos%fZ_nkViejna$R3nG<_@n#=$CJZu0Ly#+mG+&I94sDvCs)!YN|se^KXIz|
zeA24EP*lzhqkm*eEPbzA)Y8RO##a=PrD)CxpVO=@++rw0cTEsaFaR2rJF_WCf8(t?
z`qNE5J~27TZ8gXud@vt<_w&yVTA$XxJ1g8k)vsE_HUKIfE_xISqm+!C{L}O_Z8Y<P
z_R&()-ov`Tzw%jb-MU*0GoA);7(PCJ32LXE%8pJ{w6R?nkP|o$f5p58?tK|RkLs5R
zUSIFBNu9hO`|(n31B=U{g})6m4!?=B@yHKk_;JB-yx~S4pZA%WLzae0-%6e>$m`d;
zUj_{@sJ#5Pati+ocqSu&K6gJmf>)taX?0m-f5zX+7AAh%#*da#uR|AXY-}SqOYm6j
z)edtTe^-i=_Y`Dhn{w5&jqL1*GsznM{$dAV++?cG?F(;jouQiArHE_yz(JX{3PtfM
zcc8`WoTm)xkJZdVQX&<j(sTST(UwVk9~ERyZzl&C2jJxy&IODqB{>fZ1%kBBoHyv6
z>6Q;uO|&#sROkSb3{}O)$9Kaiwz}76#v>;#E}m)%N)H-~{)&knctVD}j*Bxd^#Xr@
z=S)gW%K8i-avo%|p;;a4d^Fm0TN%CyVo}uSsE*}$RUxR6-_pJIH-22Aq-22+Lp~0A
z`7LA~UY&tqc5Uqz$o6HUOaBYAVnNH$dZZ|Jd3m{i?c~VeI@+&V7U>aWnTle4hWOR1
z$Z~SZtnbWe9$CE0>lv;gxx>d4eNI(X^~=f*NPI1Wx$3GK8rTR7DJhs$1KAH~0Z?u|
zu7+wtMMPAgU@is&z`#I&Nd;nH;Wh!71n#F(@g&ME#_sd$8ylOO;vf`$Db(Y8pRKJ=
z=CC#)P+eVZwDW5S<UcOMS&zB)^ZDF(U@CwlXA0`Pth_uX!eQ7z{o=)o#iKQY;^2WN
zFN@cU`$s1meMGn2?*S~u)z;Ro+y1J+!pYfa0Sqgj^#Otg%}~&#PCwNES+^fu#cUeL
zkl92-BQOF2GBPrx8h|NKa+_ce7aJN{rv+Z12@&_l{Q)*s+4tvYd8zDO4w;(>k5rLN
zR;TD2QMwG<RAN>2{B>ClBse7GHOTC84<1n1+1csB`=L<6yQ8MBQ&KpRvVxn9UR|IO
zlr=ZcS{*Hw05*9YtO_s~l9JeN-MaPcaM!lRZ7a*w-MwqJEi|*bTBoeMyse`{1{|e%
zfP=G(i%bCl0cZ))uJO1EiW!CK94oiL@qHN>D6gs-WoBlEGAND*3ZN6ts^<0b_Kh1-
zQ(k+MS4Y@oOu#+3g_Z!d4cw%%6cZT$xxt|U!xH4U+0|8!!`<JcBqaXLbfCkR!Qslc
z9Yz~s3=FWsXs$&<;s%r91{c?ti7Lx)Ob$*?1<quia8MTa?}WF8pnzY90rl)%0ri^4
z?T?u*7;$Z7rX3Mi`&Fs_NeB1dQmADrn1!s882RJB{vAeH%c^ty0eX)+C5L|XMYJ3s
z@a*~<uU*~u@864k<Fy&DIuDys{cM3iIZfoejEoEz76j2uN`9ZsKE)e)pF>7#9GSC}
zl5v@tnO7%2QowR1i28^~V#7z_6BBo=O@5?jfYUB*V!{AoAqfSAMTDv)_&-lZif96f
zuK4|T9>}6<@BckL($-W~zVP+yS1!jzMMO+ThZ25m#6<~GbFrZexQuUO@;3M36zWZ^
zKa2+Hxdn856Fp#RU|Dd)0i(!w_!Ux43ad^sB(4#n$W3qwgUtGBdx`6fJRwd_PO$b8
zMvjk<(Vc7ANf7;l*24ual(So!USRdMy^4+|edD%xWp$#46!vJe+=95uZu$ZO2Fra_
zRg!C7+p3{kM3h_zaL0CN+hKdtKD5v<mZuv<K?U&3PV@d=X9z5(#|ONbjDmt5tDeKl
zG&Hu{RGR=ozZ4saf)xDYzY?s`O6zzu!79#!jw~U`Wzvd|T#i=OJlUeVdzTzs#A?q2
z9(nmz##QD2kp+;SnV;AAz2A8J+YUDO{gC$?5wELf_UkTqL+IJ|%V95+@ys33dbxV>
zBg+3z9O8kjvJY^*!r@Roo<AdSNh6J?Cm!3YW29&!G+ipR1Z2V#QJ-r*2i=BWfJ$t6
zqkVA0lRp&Hf=>AVXUD{Tb5=^f&XpuFF>!w@?KBLOmmk5*Z<?YQW$X|BJQhA&EqDD9
zKw%F@&{02iZG=a5Z9>NSrny8e$D8u9vM(T&qrI~9`ajO4!)M-COw3DY-?Jbxw0)TN
zMh`&X{djs+HW&yItq3&`VKh<Ar||%930!6jAmW9U4?w;jt+J&GB&Ibe9+?#{ITH)>
z+P1M^!uUOsH*UaB=L=Jh((@lWueT(%UBaEHs8ec!gUo<9if&z>K7D$XntGm(j}I;2
zASD+4*MM6m5_UrqYXJ|Ckes6l{-n2UN&UgS06#xWo5|YC41Oso)Yy1<jNs+L0wf5#
z@c<*i1^WVib9(F9sK@_zl8DTJMKcO57oM!33iyiVmaykO7c?#sQc^5KL&Gf~jW1}u
z_c1ymX@i1-@W?rId|_gN+LKXHL5A4>8f1O>^5x8j#^b^^7CUiq3?f`Cpo^P3BZj7f
zIjYe9n}AQ;{QD+8J_rpL_1Nan2SybuR5|Jd<`WZ-)GcWMa(g0vIXgN3|64A3BJxcC
zKR7NVxvnw&hwF`;pc-9<<N9;7Gy|BkEZ`>4#Kt|tK7RZtm3GZ-o+R;}M-^CMp`*};
zhyEJYfKk%=7cVR1JCn<qIr335tILj2{XG|tR6~g1b$7ibiNT4%Y*Zl|AD=da1oUkW
z54M(Wz8SOPqU<SO@ZSFs!~<UB)j2d>gku!?8?Xp?a|<8W8}j$cEv!RX)qulxF_gc9
z$OXU)8IboH`_PKP@uDS9;ymr?eh~P672j{0+P<q|h$9t({UgyNNn{`;+ek!wZa$aP
z`AVs2vXX*&7y@C8q3X%;@o|$$00}Vd_}%_o*D8D%us7vV+&;%<LD`V3MgY=oeKECl
z=s5)F>fYsVSGBcAtfCnv^TF8rI4umq(MIz0(PBe{t$ZEx8JvmeBs&mAcEvVyiDiUa
zFylI1z(?h>n-T^Gj{+u2nX}+vnEe^_!51^j6UJ+nM%IgnKb`ukojurXFs5O=jtZW)
z3OvKvs`(TSDsKXf?vYK6U3^deU67W6A&-WW8R81*S~uA=y|c-xFl5az6eI`#L8>H4
zC#P)-`CJQ|RJ^fvaO`3V9dqR7F|Kg<)ytRUAAU&iSZBPZ=;Y*-qh{q{niiDw1|^)F
zkWk$+>~^sd7tJ$sK7&!o026rFQiT-smQTQ;j8}NA$ed-jO+FctZG`t>^>=iz7v}cS
z(9le3WT!K|N=SIJLT1Cj&fY!DszRuZMx!oh-Z5wfx`nlu4MwGYZz(EVfbGI}O&dIw
zqT39flNTS`bZu>Ud?~9KX4nnoY<LnkZD)1xpV!WK)F#6~S+L6GImsVux8jMqcDHwj
z9K(v{KYxBHk>R$~MS4F`oBeu0OZanCjyJy$H*9(3)hO1lR83a+S~k?hA|ISZBqcR`
z&iHeV=KcuQEWQyQcDCI_>uEXqkDPq|*~^s#ADnfFW=MpZ-}c|vOf1}@XGlLhQvs4v
z|7XUs2I5v*U#gI*jt&aV1&;PNU5_?9dVfP$3-`~KPijzSTN@4tP`tRr*YvaZiyQv3
zfvDWO@?Wx1yB`mQH34(A3=LI^OqSJjV)5ws>SS(wtu=D)8$KA+v_1i4JyP@pwX-q;
z9O%lOzU35XO+7t|71kpcK(-Peud>CcnCcf$wQlYXhD{qg_+J<m>!;bG$LBcfw=cQx
zt_JIto1;xiU`godWHZGKAsuGr6yN&#d#k^HJN)>B1Ehq3i788Y39PLDHC?GNq>WC3
zsgxlTnGV?bI|GBW4@uGsFzKYnewZRZSJFN`)LT-gE!_F2V);K2q~PG-<*{;Ra!!LV
zFiU0!WN4+HKE35Td?3J#c2jZ5X=skepv`CA0?}TocqA0n2``^nQc}`>45&)#TZLd-
zLEhW9Vqkyd+X8Tjhw(b(p7Po3wV$7#V8`nB%6tHHg94l|a>h!G{oATW41FGf#%^k`
zx3v`w>aosh^s85N(A#2HMvA9z8$t|btim$7tqLS_lyY`7fUwZ5>({Rj3haG{V+e|O
zm{R_W9I^v-vk<a2>WiX!ix>#FAMd!ixt+a_AFezXmqe2#7^@7WrKMjX3x|f*HH84G
zVMP~an*A5O@W8z;uHQ{U@g6S;|BGr#*d8A+Sl#5m1h!=F>(6HQH8jY8OiWBna5?|d
zfCv!=qNc7s@WIXyJ%7QG0d~rRpas<b#(Lq2tm4ou!v<`P&UnG;4}=U9ayj0y_J5~2
zzL430SU~_4-&37%fhS++^cy^{sAnmP0|`Zpz%a)rBH~@rc77zOqNe6|+oDgW?gCnF
z1Ey2Zpar#4?Yu&M3zYMIPir)3B)ZCrPwTZEwZpeSui<uu8{2{S+v8Tv%BuDIng6FW
zR}Ge!xj7U1EuT*CBfh|=VdFNSY={2}R?VYJ`QL%d1YhkwYXHRgs3GGs?X{PB(9i_D
zbQY#{2Lw>i3cD#Nv1o<;zJvrienc5AjWhvP4+gc`_|waC5O@0ou_|uc@4WL%OLJ&k
zQ|rtQ2?#XjE6^#$gt`|4jJ(*J90XLQEu|ZvCR#>E!?$Vg!<&660{;D?rxR8^>y4+^
zU<=SeArO!e1l$As3m5Ko6xJ5Se1gDa7yvUWu$CyH3N}EVZ5bFKfqJTNwS}sUij55@
zDB$qiY@<MhhPFUKpm}Tl!9#$Nlqn)!-%Z8=vTuT3p~I2pwL9ijmt3W~!!vt+ZsUvA
zt-{}Mh`wbhB?ve&QPa?DZhw1#&dn@Vsb)yib8`0A8R+YW0p+FV9sFzbMBylfv{L%4
zgO5F|wx>rcDv*spqfS{lxffZMXiNy}<p4nz_|{h=A|m*me~~dMC1FQ@HoF!+_WzdU
zXxmC!0LxkYYzlc#G{nm1w!TD0_7ZYvgSFRaX(Q1xw9kGE?W?G$7Z5c>doR`_52xB|
zAaM$wNDBx#K;F@N1ro-3V(}da2L`34rnXh(wLM!<tF(WzrY~p`h40yVO;zRByN2e{
zN-qkSsITJU0)abVB50r*7l-TLta5W0ayHzq8%Eo|h6o`Ml`=F^dc(Uf_#xw2`m6Uf
zNYjwv>sf*A8*T6sauTH3U7HLAdq*t$oAFH3i$&VZ|6(hl)tUY`_t1Y6p<`z!l#-Hi
z-5!v+*>@YP&h52HDq5c-?kS&BFW@fkd`?ev%FNEaft=8m_y6oEt>gpzg#UOy+vhJc
zI;$E=!PyR$?Z$WOVq>VW1fItPKxZ*D$Vi||zaDbEvtZr(Uz1(>smx(kPZ@|ijqnX#
z%$z=@&M&h`?e~9TJB@>k*16r5#AcKZLy#v)=C{6^nwny0gc0-u)_^En$Lkvk8?&LD
z_gNp`d8%*-wV`!Z8@kXx{Xxd?_s2qJ0PD%XdpfL+azoe?A9SUSy*)f+|KM2Au>XJZ
zs;+<ua@{wCb}CiS`M$Dp#6i&0|L1gABh6VltWLvi{cUB!&JG-2ba)dS9jTxTGzbEp
z^U3F^!v`(DboTb%p(u4$Rd1+dy?L_@(qCK_eJSoslhm39(j0!LZV8->MT6fP2*uh8
znxXAWfk)#u4i6s*Dg>Gog4hLzQu?FIZ+kEwz+j%ZZGQI7=4U>B(vAPy=-BP))0+SA
z8y`i8KwX6@&?zy($a;|W^rZRt|1iM<P;}rtfFmQTtSk+E3=)=MAZRtWv|zz+l1Ki?
z39n2*W*~>f{q8H@w5LBnfQt4VdWpcd03ci;@7c4*9Ty*O+M9G|`OCW&ugE7u@4;Wg
z^~V5hWFJ&QwEhW?ZnQR0Lw*Qv^aCi#P#n;G-0n<nXyB#zo*0s%tMMdQh3g;fp;>{E
z$H>Hli_X<T90XJJXafr!jRV<+9Qs=mgsoJywBU4r183xL#a`hw<&4xY=C3olxbOVB
z0nd$A5VOC1hB=d2P@o8wRoJzA55d}N1=k#+oi|`$L4Do;&@L$n4G!D)2$~SN0|Z9c
zKm?7xcF!H<@9*D}bVos6L7~lz=QBX_Or_+zJZ7C2H(}~JuM9)@_Dnv45KF?`%b*|y
z8=C?M#xj7*OaU2h5PTm<N}7QJ@D;QG$CQsFrzd-j3Lx>d4GgHFxrT$IV>B?&ZaCq+
zhlAUw)V#IWVqhW&7iXmK9~9baBf|BUq6Q}~^f>R9Oayh!h~AUo!N}2IVLE>xAsm0+
z9+l?y>C*0Pp;Cu;AA$1t3Q~K6`|fa*^?)nVt=DZSho|+vz`_fW{pQnmfTBTT67rn?
zYmh8O9vvi8Ui?3TWd9_w&bCmBn^o3HOppPKS#LNjn(7}fxS1u}cKdd?v}vkoq9T)k
z*WU`y<DHRb;7htM3{c;BOhN^!u4HCca3`6ZKWZnL(e`}<MAxA2Z*UotC=6D(K7bU_
z9qa$rV#{;?uNE5upnK(VcVFKHSRZ^?!l=Wp%sY-hQLZHWA@@$cT)M^Bpl5w}>mtce
zAUdX0Nhu&8kichmZLu#k6hgmaf;3k5NmzNv{j_5~g;HJnGlrtVY$TK%d<}UUSQd2S
zhE`Ff?4LABnESPjWt78jlBzw|xvDQ)VCMM?)I*+snOow*S2QLTWS*GKwjLgmV`%nb
z<$2~zrw3_uM7SzoXE-(4jT{?1I>YIM`)BBWK!Wwx+n$T!9Apfn9jpdIKyKvG8b&&k
zI$&-<p5K8V-PhF(zuf@>`B6C%j9K@ATh`VlCYqPQn;3;!JIfPT@qn>StT8D2vG3Iz
z#<$&nIp1!Zx7?5>j?HP56J_o2X7O~}5;Q1v7TIIu<}RHj&ZMIerhoKTe6kjIXX|;D
zQW$EP{tE{!wlXk?pOKbd8{T90FFPgN@SDcmm%`{TqRqZA4la&+f3`evDjf}hs8Ch&
z`l+z=<uSqRzabNx^+u6m_?Q^jm|w7}ahvhLBH^=1xkjQ|-huX5l4waTA83d91>&<P
zV$IO`dCAk~1~ID5b+AMis=v?Tvu<>%EN?MJq!uD5qampET`;>AHOfvigEA(d3=LUu
z$h4>OJAE<Z!yDjq*tfs#ED<v>Tyu%!9uayGRm-{AmGpmiUnDRp!oP;I(TLo&zIyj5
zftEHr!kEgu_fH(5qsvIlJ@1d+1+_LSDORLq5-CE}MrN_;&Rht_#ywvNOzN-HQEzyq
zV@G*a8PbEu&^A<AO^$|}{<n)6WabD9MRRugs}jo;LGzV~&RvEJ^0b*7d<dUZ(6pVW
z{4soJ9>EyB3yqM;EBtmgqXOgsV(&+%;44AEKbS=wB$AXvV3W#DqN;G_&DzYOm$(A^
z6f-~o@y2RaRn=LVM?IizKcvoeki7P)IbDLl*CzU2yWO??qVIyt2#WuDL+!J$%SIg7
zrWn;2)kFcsWcISz5?!^^`P6z#a*~6W&dQbPvV*K=>^Vn7k}cpa!)PAaa1pUuVpU&w
zQhX;_B4WhuyZ)Xmnon8vZt`pQVeg+-*)1#>?Q8*?h&#ff*2ITNtws<uEE-^{B5xDR
zNCJfGZ2Kfz#og}z<RbRV#?V*wa~34kDo%d?$2OJf&TR%Zp34r%6j}4%WWLSfw1B*_
zEX5yZ1w_`8KQZ!`()StC;jq-8rQ8mkkLqkJ543iKuFc{rUTkK-A;NjZ+LZSuVzm8A
zU@nu7V)Sli=00VU8FE@`oZ_C%+6QeTMaZdXPF_>7^Lo=0#06=<vd1SlWxTP^sTYAu
zN}`H$#=d9FGlQdx$jW2r$O-D{_7&B2`ht@>la~E?G}K2i-)7+7zZ;?bGu*kTR<RvB
zfb(vc`p8vwJh*)%diG4stw&0NR#y$knon`QsA9+oo?kB_)LOEEcQo9zG)dD7@u4t^
z!aVudgVIfAW|fdgTPpgTfQjLBiS7aG(Fe>6!RK<Rm~vJFML400aiAY*yNO{}9xs)2
zG1v$Lq4BL;SkQ^$6+bqC0&-!v5WL=A%GUi|L^XGo(JxZfp~lTK(yl~U#K7{r!%2=r
zIt8P*hXqd-9a4{wvCpihgaxCPf3%^uV{N=g!*c2Ek4Sm?3u06^_QfnBiHFbn%2P8v
zl3X5xb1s;a)y64;9?v~IlSY?fOo}k$F!?hq6H37ySocpUzZK0rS@)ti$^A78bSa(P
zDrLCWaZQ9?=)F=$1RQ!-mTJ_ez`IRp!x8FkP(3!BJeo`xqc}|lWF{CrMK+-zZnWpS
zu9~ols5RLkb&hkmCr+XPkI~;P&e&+dt1vT@vXG6*RPctM6Hc8vgY4whf~UMXOJJ`o
zo>4((E!{dy9S%%BRh{C*4RTJZEcr!DEh9WJJe-Www<EO<zrJp<UdqIp!k)Q6r-bbY
zdnY<{$HlX5`I(GSiENvsVx9@^j|-a2raXc(-MywmL(;#l!NOyqH*@(7I=stD`$K-?
zDp_qP-8mOmuQ~N!7J5t4y)u#^FWH*!vMg_`*b!ym4`b{Xs=1OOZ#Vt~((Q<+noODU
zFhvJ8GKFhXT+I*#RY!R9nF$C{nw=L)SH57}?%pcZ!I*qoB5vvGC{fZ?>HKuCPLd|Z
zp2QQAhOBiqZT^D1vGPKQ8dq?jUS*pby=E=tov^zP+Rg5B9ys%4J(mCR1s8o32J_Ai
z>{Ti7o^k3zLk`KKfAiM$$t<WSL34SZC6RuKWg?@3?1kTjM!Z+ZL?X2!SNby^ri>YG
zmYDpI&k3&ut^mTB437u9BPw8->}N46hd-STMv$cO3A_qirAuFAWz#g_H7b1Vew@Xk
z)kJ{d9TXz7vW!p%%@DG9s%F`{D!gKQdRAG+XMGw$RPo+_%qo#(l_aoNWIY;(4~j*9
z5IcjEfl5=F18pO-q`&yjjZ8J!5wer$J#9FCkI)O0uC<0f^aa?bxHPjdGa(2Gm48XV
z9`)-xBzQNpFxF>IPUxS${L}^R{hvVa&QT9V&_|?Dqes=@OVRAXYc&o{g58UCQ(7${
z#QvJOg^n4Ep!peGZl>Dvs6%#D@G;Li=dZK(t-K$V%X7|e4`Z7wpz<MAUEJBs;Iukn
zP@i{3Li26DsyIBb_KK|<`Vw`@3-Z=qbkuh+MDj>8P^?8BhX}7^sPDpQ>DnG!_Pbdi
z1&5E7zDe_H2wRzdf9~@77S@DwX21<KHJg{&J`@#}<I>dQ0wJl6RQxskEv1DSWzU~7
zy4X^`b$WjJ1H%{I7izv=e-83lpXyzScqFH&NK~p6l%%Do*mKD66{JR$IaT>b`hX(4
ztNQ$NGUpar;k}#Au*5zouOuQH6i83yH}w3x*EM(ur(c6Vuh7zhORCh{t_0mqAJNYl
z)i~Hl9*^^gW5-KaO*I}AXnybL_qk6l(Mh?>YzaF$_4ew{Bk85%3HOt<wV4?%bnxJR
zBwL#QC0o*Pe5E*48PW0ZLBF=_V6UfF7{dJcFk%QcJWU^bpP!ra2jt49<!U7!aqZ@P
z6aQ28Og9e@`?xK?Uf0VO4>$T3nyPfZDp~mHc%tRLq$Kf+9F2p?HZ@OXKVm84{FwCh
zb_c857U;W%=|NY}QO$=5OX`_H${WliJ!CVY#*wU49eEt!!=N)b7tyo3@*?-)`$F?b
zev&#&I+=4!5J$N%D#(dOq=D$Pehv;wn8kR3pc|<cGk%vUq*Y9n9)=EIfC%~yeS+Lk
zQdzQg_`_m9_7D-(UDP8{tw&YP2I%}lcmM#t0SOkfApVa|t@rUw-fc7{eL^XT|I&j;
z7}PjPVEV1l#f5_z89p~i0II#Dq*Bn?f5HT6Gqazl#21<->wDCj21k^S%bX2%oIy|l
z$;=3ZfGXuoxq8qtI{W*JOK*yZTm#u$DJANL^?Elbd7D6ae-wV0@+&WQj9wxK;On&P
z>mX?4ZpoU((xi&*fmBp8R8@M5vK@n^g}xSszMBN}NyEDF|7HGTXreJ%QiBGaYubK=
zk|XKwBpc)K<HY9AVBH?)Qm)_PA}>KUK)W#lWvfbg?#0gfG%eiPbe<9gNmM5CniLqA
zl~S#{4@Ap$8$gdkUrS}VdDFJcb9PRO0%AC!{46Vv^j{IvoG=IqpKl@&3q8K^?O`Kr
zEIJmhnXmQ3pI9Vk*aafNXqyh)SsAz$Yu=X<47X&%sQ4}vH=fkGHA0#gZ8h)i?yAWD
zfIGDJ;l>##Qg}+=dJgaGtzRe6?10o#y7?{0$8pA)C<~Ne`*{w~yPCcde6mt^^(zFu
z=@^zF2UA&vj-rG4ry@VZZvMZ=#<c{JvOp&y28pO}v-;1UXOP|~Zy$(HGBNn*avp5#
zovz=8CkuubNl6|1kFB~F47_p**AXM0M7TTF%a{v3BBX@D#eP)jRanpId~f<V1pKh8
zT(>D)4X_`@_>uUwq-IkKAqckEu?RVF=J4)uwb$WYxO4cz=kSA13*4+j-<pHuVe&W-
z`e1{4cjMEOV|%B9eM4z8v+HR6Z?(K1%!Z2(gg3DfI=InQZr;m7n+%E(&^=SQfwX@L
z*SuZH9#`#eu8)uDUZT5>k7DWc^}~><E(=LSbdk$kB)8}i&XdKf;%*1cQ4V<2`*&7{
zb-gZOWkGSRo}*)Vo4zV2i>r%$iIUD&OsC8#4P>W#=gfYJy;lCZv?Y8jrmbD?oL4*L
zl;$1pzFOL`+D%g!EuWkBF7U)VH%9GF3+d-Shm5+OgmpIp$HvJ0tkf`*laqnQa)e*K
zlMa`ih^YBrfi#amuI9<Ntn+X!C<_$2x{XhSh@`YM-1ODX34`?RRvU#OQUW1lP`PEm
z4FaiUDOTH{^g|ZJqN9Y?s{KJr{#IeBe%Ee_Xx@2pduL~1-RD#YE!ZC(e#?*{?n@Ij
zG)bfpbeaKiQy3z&z<sHFKTNrYg1qM8IU>TTWLZk~oajcI+e{M%q+{Jy3O_uVsOARM
z3!PCxN38~n4QYWXqdongsdztm!4W<Nm%@q5A0J*adA;!V{7LW+oEJ^`oE{VQ%|kKy
z!;wI2=hoNz;r4k1+%CQ6;tK+L>Emv45I}4m7;S;NH30V=L0b*Imkpv$I@s=>pp`{5
zlE~+>$>^EHs^t;5KMNS_-<?r<$xqU7soKIk;UK<zj?E6zBJGqC4<BBIYX%VS4+HMW
z?Jz6Jq?piTU0g2>vN-s;aHZic`VZk&FI;Hr1>%hYhZhw5CCEu{{~nKrrLX^)@AyBm
z0H7tJZ)9>d>@xsK6^3*cuk~;kEYOtO5)C9{Bnux_qIEa)UzqmXI*(A?(l-K?72LxZ
z2r-~lh`5`2?TnGaYBq_WD5X2hwZl3m!!=0+3YMT!^3fr+5p)E&Hdgkf4EBul$`xG`
z4p9DBcPZtCc0uq(->d_Du^TRfp+i2PYc7Eq@px}-5|ox8^j-7Ty~kiY@46~{H%xq3
zF;S0_ixM?9t=2imgG+TFTBh(bIG^NiYe5`V#QGPvXOT8G$P%@|wB||&h|rWGp8RkV
z9a0y*;1MN|FiInCrjP6E>Yl(nidrgwMgXCf!q%;;)YLsk2U~<U*$b7~GV{ol(3=qw
zta~$REO75)80EFJE9Q#=LRlfa=tTDM@$bn)xE3iVD{FLeba1rxym1avSF7V6h{0|F
zN8$><JstQQ@Z$j9z+ynSz4fiQ|HkgFIplLdi`qKc>StttQoRl05BNMiv?m*Qw+!k!
zK}ba3)}HH#T#EELGJU55nzJOxM_?~ALT|cp=T0mPWO6-o)z1&%4)rmihiX3t4-XGN
z=(+D6!|dR^69<kPg$ERN;`G-Ym?Q%w#u9KHhqwt62vX2C(dm<x7Jsm8WA_`#6ivF_
z4MJj*1BTie_%^t3ACP=Ubmt@8ZaxwWyn$ZOp2QYLOZ_T2Km9^)u&!U8r@D)_Ug(O2
z>|I^?;RXq>?e`b}46&nLe?dkIX#Yr_31tuWJ}y68lugx;*Q7~mWy{pKOp?YCUbrE`
zb#ecCN9xkjE>CtUjkc84*Z1e1PdEe}yQ!#LM5iT8N=qOM21!9I4st>W6MpddxxKr)
z2qxI$fpjT|CX~R{UJ#;?re=S<&k!Dc<FUqCkp^Ks2e<^uW6?(qVX9AHV?YM)CR~#?
zYx2d|-ND4d`hB{$xk)c1^s$x4ZV*MnD6g~~5|a7e)c$(kkwe7Vnj7sYlzUmDd04Ym
zrAetyh?gM&TmKf1(8Liz-MP9e@f@~ND6$sPCR_Y5O5xCPEg}!|z@+%DI(25s+vbYb
zZ6y>8H`%lcXkjs=B$vNt629V-9x*THhG;yrG#R+>!|yPQjlNzoK7LsH8)k(9z&iPf
z4!C{+7m3y1J&qWZ%hVWpCs&{*FOZB1ek75i=}Jg1LF8o~nCRShA)g1%5k%Lhg@ymP
zhp&CF3>|;^F&u7=Y;>^~mpHFz!I?vzjFn}2eLQ*^jlM6`(Gi44>v^&B@b%<dajXbx
z0Ta7i0Wk34I_Eqrk<<EADy*U-7!nZLYKN-==LiYQ<Mm4POi%cmUw0MAO0}td<&Gh<
z@b1=-BjvnI-TiRlP)$WDHU5gRIdKV|EJ`7+>TZiY7B}Yk^YbBuUe6uc{&IWl+8Fp8
zJ42q!#PBX$R}wkdH$|@i+`oXIG61t(Aiy0Lfd<QY1X^z0@$PtATv}{w8=Su@;P#wv
z%Z|yr>SV&48S^YX!K~&sQvj#bev^npbm;YxSA0Kvgx2RLXC0wKfK8Bqetr;me~lDB
z0I?7QZ7;wNhN$pySOW_c?x2Lx2*tgV2>RZrzX$!K+@hZcLI#pA!FPh6?a^$J=G6`}
z*KPS-5WnLh5zG%jelg#FmsIdzfVR6zI)T`Xl?9*$>d~cFdpAxY={0gs{-d*!T!+fT
zl*g*D9C2G}*UVog-jg$41ms*J#qlzP>%k0z+t#I}!R^H0M}^)t-z$P!f{00JX&*op
ztVS*`KS8%WxMZRPU<V?3kKtmQ=kA!ru3&Uhl01xiV&M(3cf)h=xUb*5QHHjUcG~W_
zZ`0Ay`9e;t_KU;B6F6I}utZlj$6FbhbPdAf;@G)Am$AEtJ2|;1F3{h)wYCL0+7L#V
zksRRJq3=^$4(3GZaFAaSbjpD)qyXjwB)HVUlbVO0&kzp?Qr6S6j`!(=4oK;sw}4@f
z+1YrqQ+$7+FPZOw)kx7zkmO0hHNFDTF$g-zJ$+gPUX>CE-<j|lU&|gVB#L;|qEM^T
zjfP0gvxSiQ6!_Fm2=~f!s7ua+=|=&V-TotFgZubw<k9o7?wVaUFzW*9uCLa15Q`qE
zm~h;nk&tsR&|8G$3(hN;3F9AjHa1=Xii_KCfW+}RItUTp+^OR?fjz%OOKX_*Gfd{`
z#r4r49xf)`xYp|mE{bKIs(-aKTN1cUFL3Bp^}KVO3)x{56nqHREA-|Ms<--t9z*Jr
zfx)DF4E^IJ)bh1%f_zR21Ah~~6>L$B=Ruhlm5<Nq{hfROsyyI1K#-JE!^P71t13Ki
zG-MhyLgm_H)L<XF=7Y@+ycEk;QA$w?+@JrL%-?rl_sakEjzi8y902pP+1B8dI9frc
z&Np1asQ1~~p}pq7ydeT;2)Ft}IXG|MR<8o903h|viV5@b&r|gtkKw@VKBLyuPh?<#
z_l<>%`aH4EGvtK=U(a&n&rZev`92+fy%eXd_;Mq&+Wg6%x<Ga{-PbxYQ+V3Nv|yE#
zfn75OR{J~bab4bE&AdO=J=K?>WU8|7%BHTe9~C!I&L|{P{Wjm_!Bd$0f&;C*qH_UU
zT90>2N=dvw;8&*b(;Mm_>(dtD)tx53^RS%~ZUZ?=aFc5@iPgJ5PIlNek8y!vqpQ_c
z&w07Bu`Fq7JO!)ac~>8M)No`vJcPsE<a2G=F+hn*(K?widDz_fH?FgXN)kEayh(te
zDkzlo>lb(-X!lk4c>CL~UK>m1pC`vE@->)eQy8<2Gyb6#@d;)asZKzE>g~e>)4qs&
zK|%ro^zQdvkjQ0|TM1I@y8Pr)evI1X>vwhCb&Q#2?1&yP1tk6Ki;#m;qLx?t?Yb6h
z)7Tfy*_DO%6$atd>Ay+u3yaZbNNwRh`q9{A2CUylmU2sA+tD26p|@4@1eQ%c_ZgQ{
z?7sVzDW1EtTpX9!P0ghe)cYd3uK;>)&QZ;Hnn$!*g!gnUA@s@uS!^EBtS*)Cimx`!
zVdJbWUfnN03)|LiiaIauH_lDvcg_2~!^-`OB=08o)|#{tz>TvXt122eP<rKpLb#dw
zFPKW@S)HS2wG?uCxv)0KP$^fe8th#Z`(PwxjoMW8ch{!&X1|Nfbncw|I@3p|_uJPa
z%%U(W<-uuJ*=}Vd8-ud*)_W~1JH3%?nS_TYwqeQH#X207&18LYQZ~4y3zPW6I$Z6T
zuY62(6xJ3fB(K-2VLeZWtbqk0YSHnIP5J55H35r`w=wMYnY3bng7oiIivKdR*o<pp
zd5QD1M)-Dp<3N@Kp5!euK2cFY)R%5C&KG#dgO~o8D?|m+Hm@y2Y;N%jX=&Ewm)o5d
zQ@**QeS3(<#+!|`2U|<g4A$F<2feSqa9fLB_n8=9xcKCy#if>B=DvvByifz?n;cs1
z=eF-JpC80J2{(>@;XF20kTO19t(dQ`bSa+Uk?kj8tPder^>sw^1fEG`=GThD_F=Dv
zIL=_kl~y}a;&E03@|Lt0l>!2-R<oKF%vy53Z5waJI8E_!lCTnStMChM2RaA8GyhmV
zr?J53T{Bo#yO~$b-G`5<6Y@y6WQ?fz&h#g$bLZN%+*H}1WY3|ifE6!XpLMUghMVGv
zG11(mLoO`S_k-sjNgh4Rja?Df#;Wi1IJ#DX`SFD_=E?-spPlUprjFbfc?6e}8S14H
zu&`C!^H(j2R!TQ-1ad}y>N%0eS7puAxRZ^Z_OT4c{?)X-CLCO<M#(Qo{yzTL=}>qN
zDfXLtI60wvyZ*yKu(Ey+x^!(_sU$dz=908@NiNKauVYSjAHL%IG2lRye7>NiE3Xwl
zdNFK2R!v^h_G~%MrH{xFMt4)cWqkF;hS09&*<Ocrdu1SU9$Wcp%LwkUuJKNRisRsz
zLtY*|lkO*?o@Nz8?8y93M_)@AXNgBU)Cc0Nzk0uqH81jIQ=`;?r%0V0l@L_0LCZJt
z{d}eU?6z={;QC$ziy+Oh*?0wse4%FTj>=u!HRRTn{b7-!N@Af3y-GG^#WG$*1Uo&9
z?k*uNmA`pl@{KlIb;*%!kIx@(_undVQ7X1I{dP#gl&^N-KCDb^I;>1rB`V?TrJ{W^
z%M`+LqL-*2;p4&wX)leU^>pb4)#vYT=B_C4DP7ZW3ssI2Cr_ZCSxQuBiTs;b9`V$p
z_qwsvNy4+0=c`T&2AAYn7v#~~SQ9g9c7@$un6;;e^ViPu5Kj|j78Zr1tEYMOnEq#a
zty=3^{2&ZxLYKMiin1b(b3tltS5g^X2z*+8&vkp#yek+gv@=uaKA-6_9xnzDmkn1*
zAO3U?{%wygW-DkVn&IdJ98VI>@cW_*GS+VYz$8Z?=JerNnS4%`b|v2*?GDWrA-bE`
z7g{yj%B*0T|K->!U&|ZQo}fh=cUbNgtDIM_u|-F2Oh(ZG{bH?L`u4R}=tbq|{`Tx#
z6k*%9k$4(0Ya)}Ek3P5$+@T+xZ@=E{gOP^paJ4cAB>C_QOg!5e#LacQ5!#1Si$85a
z6i?DHP?V6DB{xd9W;s^D$t5?4<(u7?R0y0s=<InfMsxV!v|~QirqB%!XbcJ8YFcU1
zHZh*>5m`+5=EuP-1wXn<ZpvYO{#UhDGDWflUNXD#1<hOnK4B><5Bx_(H9n>1X_nyg
zhT`D!a<6ilhdZ^jOBdB>-|*!&qYqOeT9B~lDe<Tb*yp_4QjuJ9r}xezs|3ch-^~Y<
z4T=P}ExNd!GV?MAST7}*W-JY@ZF~8S4_x^G{paBTbZ*Uzvo7?w6z@rw&qL!a{JR_}
zy$%^W69$V;k2}aeKJ>#DX|v}GOn9$y``ZuO5jn=sKVIY;wlezay&%MGpwOXT<47Cp
zrY@*nj?KGLbbzr;>??}Xj>57gj7Zal;_yVD7psa<vqZ*?X<v`1|BbS@0II5O`^7hn
z0@5X=bV-PW0*VMIEgb^VN{N7kgp?qSGzd}(!lt`Rx)DXXMHFdCCH~jK_xsK_=ggTo
z|9765_u+xP_u6aSaoxYVcxW6+;JVl{OZAPIsY8<O4Lj&sWl-IJAJlVl^%3$tNj9yO
z(f6G;SR;F$O#QH?r@$u`4Td&T`Hen9(;wQJMYx2s#wLc!G%o3ISCY=|3Xg~$Bh^#$
zXm-Is!QhPV??NKD+~1Z9)OcbZQ3pH-9ApnzNK3nS_utAId+mC-d5pww6Q_(!GwmL&
z>sRH!P+qn$dU<_gRX0w(Ck`18=qS0u*auTnV+054ZMtJNV_}ycq-&_>96k!bW;Hb(
zCE@s3M>9nt5u%%yCU~u30`m)94&D)6D|>@-kov&#y~rSf<?(~(vE44#=`hAxt&sP8
zE~BJ$K2P8!MGUX$C7ou&IZ*=MvX-l*x*DWck_CCPYN`cCrCdW)bL?~;isK<OKvz%v
zUD3GC%ob->Pp5E<OaNxTZzyi#XZcLndKb<v)FCs*;#weaIK>~jN5Yq)MMYe0ZOU4N
zv4q1Jo5s>~lbbK2Q31QsP)s#p@LgC%=7O4nR*DUK@Og}j_$k){i-_`jD@rU~st-rT
z9pF6aj4YgJIocXI{hILu(oI}P(kVgn(0QJhY^J);g{n#&G*@p}nfJ1N!ar`i)B*WX
zdKI<@KaaWN&?jVMZP8x?JY;{c4NZTWE~<IbvQ>VaG2gYL?+4t2>9czvNG1~W_mi#2
z<!87m7^fsA0Umt6viC(3xOpPRD4r9VyzzOcS4DZy+9yz!!Mp$mHdWFXnO#<U$0|)y
zkzcH8Fr=z~MUTP%9)t@Tz9kJ)k06P%2Yct|6o$@lkhq09x)2KMzv^5s8?keLb-mIF
z?^WYXbK6P<rdRBzlz-E&)rx<q_86(6-Jj^78T_R~#)F$o8s>vzw%yTv@nzVt;<Ttr
zDpIj+aErS<q7$~(q)zVt+BfcyLnj16*nokE3~u-sf_7h~;<h3OyP9{))7Ku4tE^zp
zm`QlPdGotd^i4(4i~HwHxR=F5;T05*@G>-&pH6#`!v%*65~RR2UvMYPiGLVh{zR*I
zn&9__9{D+++@k?@OPlE9Qz}%bxZB8W32Xo5kyknlqFeckmh~$>ckSBp_&VzN+`bA%
zC+`OJTlQ8k`4g0k+w#+xF*>`@uLNrKHuWw+cH*&D-pB;He7En=yLJ84lQqayGOTVH
zi{`gf0B%l7M}Pks^_=TK#GTwXbG57@v)~Wo7P^o{j}+pMUOoK`A{#(--<7rA*ZNX!
z6*{)QdMV|{e$%N}c+PU6IjDa75(QhwO*Cn#LffxMNTh&#P+XisD*#+-DUkS3H9V@R
za6Pl!g9EmBq=bjHI}lk5|NVp}LW-1sKWWh+i^IP^LW`Ug17|;J*}=#*kdyY)HPz|$
zKS%d|Os^&my`CA9b^L?k+%p&YvzJpYWjFOPi9PiJfg;c$@3(_K=ogRMBA{nL{NX>i
zk`baB&(EHMp6zgQ_5?YS);#-32EdOQoWZWy&(Qk-s<5?^SG4^-*&eK#8tZ=tySnDW
zMQ7%UypMSR;zEwnkPAXeK_LUU@K~t@f%nlOQ?FN(D7T30dfB-<!-TD}_)|_H`cj1e
zD2DTVE%0;?Pf$MMwz3i?Y!Se$78+Hco_k-mh`v{-f2$*cK@p%q7+xj(lOT6=`rc;(
zND3SmV?aEb1me7jhfR?F@DrlF0GO)aciLM{>{&#QIy8Ep{7!?U#jCbs#mx4Su77r{
zvQ^&p0Qh&fRyB)%{`^A5E5=L^x9vI8*UVtdxGfR^fE5zPa{00^NUa22R&`U|7R~|k
zt7E+ix=1brzoQo$`qZkW5ce+mN$@c|<9-l)^|DZXum+HaPQ>=<W5eYB4lqFU!X1P|
z?*-8H9sxH3ei|X?l`rSRoq(mA^4MswovMy{#poUc@}=$HgSS4z;RuQCL|qjUdJgB5
z?w%g>YZ|bFA#z5MWFo{F1E;c{jTigkaFJlBEO>n!FFU1hXt-)EA0!{|&ulBS8HPWC
zcJ874MfF2?JqJn^`WW89cJ^M8ynthx6Thb);Fj{jErqBnNhI#gyAjej;G4EX3J*Xo
zc&}a4_P>15L`0|^#SV*d($dmyfCa3LmJ8kL{Ni1`;+(PpUdW|}{h393@4u7IMQgK7
zX@K&TLGo9v%UTaON^9J<m`zMf>h~sW_I8om3V~t$AP%f{+gflYCdJrZ8HKM*AL0cx
z4geZieVzHS+)PUo1=|3+1mS}<WwZeT7p*Q{d+Z~atz>ZmcmQ}COiL&Rs_aDQK&kaD
z{=pM2NAbLo9?%!(=oF>iu}Hn{6u7#&dbJ&lwi-XEe}OGi5Uh6qJsUo5ScqsSH{;|U
z_>k%z0yjPZBLBt`ZtYJwAwvj4@q9t=MoG63-lq1&24HIofR*=_;h>Csg>w7ZRG0#v
z0bhO<!8Qv*W)xtjd?GG)B^nLhxVvrU;NP(ejKIyuU;oBXxU5XMZeFNawR4f*=tzI7
zw_>~4_p<g6q9CHFLdF6-i#lv;LLD>{&Jss4q<|rSdq9N4=3EOzTMVCg!V&V>`cxA5
zT(-u{BF7WN|6I@JPR%pyOyGZL2~xYGpQ_#qz)@Wi5{dzb=-5LhfRq7Fc?7UFB>7-G
zAGLY>m=jSogFqJmHHN20?%qIr21iEnYov_U!Zfb19;wZ}8mlf^WYE#}{rh(^Iyyy&
zjm>%3bQ97(ScQbhePBI;bM+m#7zCne_^S>W5HM>2JqRW7&~pn11?fBKFww4A4P%4#
z#pwAG<zIdaz&F1|h_9!^y+mMGxGb#a(~h2AUWb2YPgNjqv%%&IKq!j5Wk5ARfSw;v
z0*OG>Vr_nXU{6X$W*WIMu`CN=pBWJSxwqWT-~q6fdJ4n?nm~*wkd+4ezB}C<X##N4
zWnQfPBo^YaHk5JaOP)?7Pzm6a=!QiVQalg`uqS+J5DC_OF}n_Gb3ooe>KF>J;x<If
z#<@KS6>{|d0#$nFyBN0dR{z%K2Q)V@<%&6qN8<BFt~7KMi8}hbb-urMnrNQ%sKW7M
zvr@OB@ifZyj&oCweM;U)q~A9A7!X~^d{&Q1h9II(8F%n*{`v8aY_x9ANl8mWry&Ax
z&9J7XTfiCKfMkZfF$|aj9Y9fl#jaG+x1XAlQWpG`_mq@)_fl@SHzc$JFJc9E7=*R&
zKrD;6qNaMZ72*tQ%G(fMq!}TMNQgRuwM+nz_%`5@k_1dJ!K83eO-+sd){7KKoE3my
zLWmL#L@9!=?lQy(BCtQa9b!v>h2`gH5n}U1;wZr?u{q~YJe;p5gv@dPti_)FAc65=
z3O5k>1JB?6qA0K@`offO*!iIb%!p#si(}nNTUrn(-Yc;{P+!1Og#cp(fjR~(r`$Vi
ze<qeuU>bo)Evmc`1#4?=MBfUE+lnTmsgl2khm=4EFx0_~p$g6FD!B+4-aBx($Tr>*
zCF?|loL>EwWr*A#)p+v92F79Q!_z-Hj4uvMqNAf%nHt#`5RECUjm%tJ!7!XYLqujL
zfAs`W18jRFB?5ispYAqaq9LR@`OK}Af5VxUE{6Ad#6~gwmFJ~Od3E~J3d+hOHuM5d
z*4b~!ek3{))g#3AMDggHS|+%Jhnl!4mBwbMYY}Z9??{on8g;Gs6J-ykQl(T0+Ag}~
z<s8rnLx$?Z$9h(2X6S{Q6=w;Xue{*ci~ylJ<crQNM&7b)3nG=8(bWU;1@e#|e!Kn)
zf;piA;MuCDa&9OxsELl@AW)?qs&%%3@GnK)U%*rl(q4VpbhN~e<R}0m6${)D#l_^p
zShT^Ci1^mabL2oeR=G}thPmS(h!4*gaRGoYyS2AB6jp3tRaC*41N<7EF>n)zzXM$6
z@qC5~E-oTqiI8CSgL@7ZB$KU$_8@#1oaSIqf-xWfSvVfFhyMq+Q_*%cl<eX~{hX0y
zc%saHLB?S%gM-ARC8t+)hf5NkA*2r2B&w=hlWNJQAJa#qEDwu04gfW$41=NfOaJg!
z=IR2POcHm+nS?(_*k3PG1<3`u_O!+}^wg+N58E7}eMEM{NCGzT?-LZO1u`)ZNvxLJ
z99c3FJvbD95xrfle%!SWxIC1p{vSSYK<aIN>oWSk=p60g<wUeZp$h}ke|R9zgQvg)
zZGz$Do~kO|Hv0xo?%y4V_aO*(y`rEt>LDkG3s^kwPPItxl^!4)A*6^Au~@-&BXM%D
z2r;*DwQu2k5UZ$Y3oLK-VubkWpue9VqAI5f4FINVy9JNQxI`D&x`t!o5J<N|BC7yH
zXJ%!62|EgsTZ+2CC;=9JcGy}}GmgRZ6(PP+9|KWC0zf@<L^7$uI7kw6V1}VmTtrQC
zkap++_J*#30ltzxI!a)iAM<_!*U(2p*XeeIHiGeA(rI+YdcbmwlwpXk#tSpj6P~;o
z><9=o91x$d!x&5Pie<UxT13ikn}<#>mp%--_PJFKD&lnFMUOU+ZC}h)=%W~Xn7+2G
z_T4eb)!+iuZ4CC7A9q*cjTWDOn?03Crm#$Pvy2OC{3gfrvZYz7*}p!!C;HTdAd+1+
z(OPuzo`J#C@|5et2Y1hA#m1obi4ZLLtPr^hU_OY>7478x>Tdvd^g+5;;V-=g<sfCz
zB9s-(%+G!f<8=KMyn4%uN%RT*75#FA2Zx}rtS%-bdG#OjbXRTkFEC+G9xK_Z{jEDa
z`P*v{p^iR^RV4EOZvfaw!0n4NhCiQjnY072+#d`;0l?W$c$ZlJqnY>w|ItjHC$}%s
z(A<L`#2mi`9qUv>?1&?nQ$b{}0z?h1gqr{u@J->~f@=N^Bv^UW;MC=Ri^Sl{?c0t%
zeRT?cAK0HV$ISSD(kO%o2?)FfPgbe*2>Ms!ToYjRaOq3653eY?6Dx!)0xr$7D<ST9
zlY2Wwb;E7|!^yWMvWVPUmB(Ku2=^ou(~v(;NGI<BRIi_G>V5WEl&Fg7bs3usto5dU
z@&s~(4dD@7$~t|l5mTdo+?8-@aRZJA5Xu^TaNq_}?*_K69$mkd1Q6mbj8?;R9OqW&
zwcrB!LN^8|Ba?xiehZ|=Si;iab;O?quLy&YiB!nIQwLNYgHP)KJRHyeu2qFznf>%@
zS`GGR3jops;@75XV!-&|$n}s*%VkNV<TH#_tY+9X_3GUOA*1;_)N&v@NP}t_3n4mT
zY(GAI2T=m5AW@(dci}~x`ls`&;8_DkzyjFhAbe2qLu!N{Ox7^qOMegDA$9<dJCHh{
za^kE|l((|L1h2#x2R{lq6+lI8RWgVH`=_jX*gf-=|Iz}u-vBNbvZzA3y6!!xS)zj5
zuf6bZ&C#oKu|sx0C?2{X2m{Impiz@y2Z@S})%@ngV}C7zPIA!V`tp+16Mm-~f?t$W
z&kMbswk?--BWmT>dDvKzdn*qG&%-^O+TPvUiHmE>^QKUrjGOLb)0fLW1>dqtuUpV4
z=$lpRA9MD6>yClgZgYq|4_JT%L0-5lV0^aV>@W<v4)|Jbe|~--uzQFsM)a^4+5bP2
zYm>QI+1X^YwB1<568Cd<$3Fc!h7W^`;<?(pEt3@tw_Y68jzUWNA<$Hi6++7V5#$H$
zkdZ>~`6^C5ju|pRxNqJxqOX9EORJgs8lVdAK^@m-TG9nY5t4llQ|3K97cvr(OE5<3
zV2hD~NuLF>2#AjXT^sQF)Kb8wc~f$`!n0F{8*BA7KM5XB7cd}fJUohEwa)@)-onqH
zTtMu`LhaH6ItW=Aa}Wbzc0nb)x`ezdlmI%WKnuYxQxCBeUH=k=$=Q`&*R9v~8mY7_
zgHJ))DB<SccP6cYkQU9?bhI7n^>!iR7)Dq-;~gu930o0Z7Bk`1NEAAhvhqlDI^@_l
zdg<%GK|x64I9)_*)NfC4yONSxP1jbydGeHmG^(vl<|iD#ay!)pI!c2gBNM>g%6YeF
z`G>g`Qw;AZbqw=Q!ER>w2aw7SnCOT*a0@J8DZRju$Mf|HX+sAR_zwk9nz*}idw%Tq
z60U7^rI4c(@9<6_1Sp@K)5(E%9E87G0X@gapLxj2fiV|gdID+K?U3@192rSTA)btX
z=kN<!i-%U&Iu;nU$ts6$PJL={_u@(~#N~9u+;u|4b{F1?>(oa;l1vul3(KZP!j#j1
z<1G*K^E4c=b4KY`SO<ej3CW{_Km<tn?}aUFZBop!AvCDmc6__m=H}^EEAg$Mdq&6H
zE4#4qKZh!<-L&K$)W}&-I3woHzcmhRr53&BfH_1=zXZI}#X{MX0GvKCuwWZh9l-zz
zXza@R|I7QCo=O{}hKTPCM`XMgla+xu0Ny&+jd(aVh&{XTgf$}hI?TKHQcfE(8xB*`
zulK5cm>>QX%4^HpA>x+PiyrecD0xz|B5d@PwKBch+zJXa`?kWkx}Lui1%wvzrUZ`d
zf7Ad+e4vZ`?amE8eIRrp+2$_P&DxwTE`hL&_keJQ6L>s}8EruRxySlhODr5fu6GDW
z#4O-N9a+3r<7{f@St~=TKe1Nw0#;-%8q=ojD*C1^KHzKQ_6K=ele2#}>Kus#fF+Lq
zgEGG3w=Pm7SO&2ILLIe{FA$4%D1XAGB~ieHW*_>c%eAzUBI02Kst|af&R^H#&?W!d
zuMPIT68<+@!}NbcYeE>v#bF=l3A@9Uumvk~DTKE?dX<6BftB>SIQEAd&wjjqaiS^I
z1QFvUMY8;HwO`n!^09Sa24bGz6NLu^;$q@xvjVEFX<8j;3MBx9!}pDw<ZvSbih&Ea
zb1yE{vVJu!p|2RX4c$?!M5B4Bdet6vK7A)+{>c~XM(YWY)ziC%g-7x2S!Ltxg-(k1
zu^jonJN{`tR0zwT(&LTaNMZ07(uMyAVMHsKHB%Tu9DTOXzn;_yy|3A-n^e59zZXI)
zu%?mD6)1)6&3ka!?KJ_rH=Vy$bBHmvgssR;m+yj_FM%D-g0k7>`#mz7sj2Y(CN0T}
zcsL8*k5~piqzO)1o|ch))KoDJ%dMP!7>l-6`kBX>75iH<in*WnBULDgB+Jx$iVBsT
zi&mz#NB9P0tz-oGVy+QIw<52$b2KXC(ovPk)n4wCee8gh{Ai?fe*eYGZtneNbk0lc
zlJ~A`_iSI{zeEwEDtzxWCz#IvPV(xzxGV>nK&><c`L+gy!VBC9d{4J|iN%|dR}+d1
zIYeX`Dd(LC{fxurufDb|E9v|E5uKay-F)e8p=Lj2&3#W#ujg8Xi{ZvtQwo!EQa-yv
ztx829kwZ0^qxZ<ovXZ6vLjxL_ui^Yp4km@+18`p)2waB_A2UB>5<I%aqAM$AD<so@
zUP!#~0l(}`DmTIwEU9K|Y!<38(ifQ8p~a?_G_%HGntyybwXoXrqn?Z<;$6$y`8%{6
zw7K2)^tU$KOYPiLT{aA=R)5R}!kv#pnAPTU4}6_Fir2qxj3vD`wjGGj;>tqvAcJs3
z&LHGj#kpA&O&4X0>D;apwcGJ;PP6`p{4WX)^z4qphJu*&0|>t<%p|OqHJ^XEWHgh1
zA~0sIJ<)=E{6DVyeAwlpii)wiOF`k!%uE^tZ7XTD`&P}+OG@{)db6|(@eGM}m^U2w
zpLaGA=yDVnR)#AVezDW%%Hn?W?{+(8R3H9vytrA$PhqP&<}1L;)weqMkiJfzv0P8r
z{{5FGr|bBPrt?=tq%8yK5>hnfbGIoP<o?jmIib9}evvwahvLqV9$*ax*PFYFeoUZg
z>=Uv5Blg80zb}yip3T(J(T_{fqr==oSew#foW%ppH}XVnfE8N!V5bfIwFUx`YVmyH
z+78CalsWGuI6!)*5a%S3#yWd)R5`wz%1uRKV<IuMn3ZcvMoa07LQU#H#loY0i>raU
z%^lwQ76mjXQ54pUI5eru6_PLcaP+Tw6YB!oV%J^&G&Ou6CH)EzC&juy*@g%*h@anj
z&(K*s-h3lJUm;AuY9K_FE6V`k;c~6nEGr19T0NcCX8AEnF3IVBkH53JbHcuuq_yDO
z{ZS>IvYoBek5X*OYH1yz4Jlus6lxO3%%9WTi>+@Pyn~(RD=0so-9?8PsS?#pPbZ1v
zPJ4%QD5XAra$~zQmVM9Uu584kNY(fb?To*|F@lByn+=kI_uuU^gE)udjJPV0sF7ZI
zROb}3U@0a1?NUk=jobjfFwa7CRsoTV`m+Q%5?d+)Nz0dS?0NXCvkV>_Ia)n-UcN&Z
zr9)l8J$Bs0I$G}czX;o<30)yjr0HMS!U+vnm-~S`^^e`_P6VQ5<?I93+Sq$VMSeIM
z+SuM~32gZ`8`3$N@QARUYgF|r3r$3=-eKzwzEk=Fi%w64EQeyO@0Pqt_F}kg+Ura4
z<$O~-()_;bxbB$F1QB=pw~UVwhE0A+>?&<ce`tT1e}5cZum;ex?ZXHwx7Nnm>qcmQ
zslB`~dbDl~e|C~rM))*h=iS@Gi>=2vmE9P7-=>x0zc#;oFYx;b#Fwk{@xDlQQ`&g!
z*z+#`CDB4^yz*bn7~Wmhq69hgy&1O=9%%&^c521su<p-2HyG3r?#%z}NiJJc&wEq-
zE*<e9b?Ys-T=dObFT#+mDkLDS{eCAtrol6(cMQANpNO~jnjVx1@|KyC-)d;;&Z&Q=
zrVy8a2wr&fo;AM7*%J<|WH#P*e^hNE=3m@G^Hujh6gco&vE1TkGg$puDZSuO{?NyI
ze)I<-LIpyh<icroc3C-NGZ9=tflGpYy#3x+_+)D*Y(04cZ#)T1q|LCDWup&NN2gGv
zgmu#}`#iwm(|_qN(rOW!k%S+f`wbz&6yk3EdwZqQdg3;$RG)iBzkktUaa_6nEM;ca
zfZMXp+gL1~!aB8fuOcI_ZM1hYUa&1#fTi;zf!3~3oPw4P=u;N^Zdy(%CzNTfEVLiv
zbW}`mm`NXWSdOjEye=YeG32w0=Imx;%PqR@Sylp623q%QEzANwLR3VX_D-R47e*=>
z!9)F*49#zV(Js$fV|>VQk}&x6=WkA@n(9(B?OtO-CX7xy0bA|Fakbm8GGcq(OyjU=
zTCar$%usn>jCD4!{YSi4ZNCZQf`!IVNTpJI&hTjp@0qe8sgyAfgaRR12tlWRvF3LD
zbkS4X)+Wa*GX3jjFED}(uaKJRnp|QR?CY!jw4HV@%96_D!gKQGdc&ul1?p(qOr2ho
z*}ZFXJaZ8N>+)WGqHK1H_oDSuV+3XSDAH=3YX%eRWonvP)x^6MA2&tucnTvNsl?ug
zSoM{TGxDy|RO6dk=q<$}Wj?d$rBk0}UaH!@A7(Don-^r1Rxd8dBx0^Q2!$mwTC3Y%
zwaqe+1KhYwKZ&pnQ)K&zQ=Hvgc$>iQKNY_oex9zPzRx7)Yx2(5nTnwMvqv&Z9H~c(
zeCB_|9yJr&9(Jx4zy`(Lf$B&zJf`^eRHS7IWA#!<c*Jk!zQbfLe$b3tlwIv?mXwk%
zyHXzq+r<)jfx589l=Zm^y+pHgUy6E$_}gKdhNg)>MI5uH7A!M5N4gU~b|>dw`P>|j
z7THpF4uSo}`UWz5gonH097B`o#C?lEMlzRtWy9K3f+{hnctn{-Q1T;v_2IoZv|eB#
z*+cu*NgC5Gx-x4nQ{m+1+gPrcIzIL!jpfa?vwX#iuqPFKNw=5MvKEFFTjw3}v^qkR
zqizKi<C-X`S0`!nSro>@SjSlx2y_6ojQjK0JWXYix4aF6eeFZ9{R)a?1$mo02=hc|
z#ct4QXlacvx&kdda`ps10o$ADyCw2N->8f*a_Z8|6FpXxH|E!%fH5cyO13#4<gRf3
z59N)>HoFYByvRon`FTqNi#DC{9uIcpwg&urH(+cX%Z0k72t-BKlR;s|Q&eiE{te^h
zxD<mg$D_a`{+>MBEOclh#d8#08cpjJX1Cb+<o49}0-p;p@8n&5@-4LzO2v>f&bTAg
zkRzNmfuXtb{e4ER!C;-t1O>yz_DQLH-@yWr)Kp3nl{lS41uZQ&zjO{JoKm{QA2}2S
z(qkw42>OX<cWo7;f^JWhor5`RuBqLpCEKT96(N2Z|FRVR5WblIX4U(rzXM}hH9#w)
zifCmNgH+;;v1|mx6weEL^K5JvRrauBoOEnPN5lodL8r1K(ffw@1uZo~giQTqTzC?y
zW4MXNN_8eFx-qvzVAL1{Kj-66?Mt)aONa>d@je^I(0l_n{|^(km0x8W9}}uq36i-{
ze;=mpD|s77{}zo;6}t2gr0sT#t75U}+$qI}vQV8gC7D>>u?;!Wdnx~^yVS-qar}Pj
z66i(3p`vIQ@ox&+RC`vs)A^B;frkKy5&-!J$4xjtRJ-ju(EAvaY#x@5)KE_y$5eao
zkR=B^`w*xj52`T<D4?4m(^9AB%@v=BIMQge6qtCHL8Qw4+*By*i!!n&EnOx1yE!^W
zv5s>yQaMTmq!0I>$HVemgI!ON%**4OG&V+_%*<a45-DK1lmQD&VF*MsYx5e~_DfX$
zp8eda98zYMs|2FN470n+_YGUN7CR52gB1Lky0CtUnHKDR9fEQa4M7+Yp~Ye_u+Tx%
ztbs|&Pp+5aWe0DnDV65CdDdJj2=Y4PcWW*pQ;Bb>)i}nA@()&jerjxQgIVZRxTIJL
zOCz!jj!ki5;uG3r<}J#KTW4gi4x-EMS?aqW+H|p%<mF`$c|Ma}w*lGE>QeiLuc}Pq
z#TZ`23N26>{?|I>C=b)-iZrIcQn1!=8T0<GNpUwwT?WT&v9Vk|+=@AF=*h8U3bnz`
z1Dit>Y;#-*aTFb=LB(H8O>VDp*HmQgi}HN*^g5BaE$7zRTqoFV>uwr1W%%i@)|r^+
zhG3SuLXE&N35X^6%-THsC8FZmsY;4}Bxw!*KE{vHimE%3=rO=01EAhC`SK^zG0GTT
z4eN0?cw@s6hX3ZISs%Sp&;1V*yE^FQ<wYxCi~`kX5&1jEKEM;*c1LuOLoYOT$Q|;M
zY*aatbaeZoOY_DhU{^{yV0}p5pn?%mT31(#O_U!F7HB~qv~FlLK?Cn2>9O|>4qo2@
zI@%kxZ`joa&QbwD#kF2r5ju$Lm(D1KP)&%Q$0NRZV4QI*2@SLW#x49ZcJp{gqrSc#
z!rAAP=`+;P5>|@v2(r9rY_DF?#>KSbdyrH9V4gKFnaTclCXc`c8mI1$m1A1NHKltG
zDUX2yvxI<<feVY-6?T*HM0E5`L|bsUJ%nat4z8}9)6;LEb5tDIT^1JeP9%&Wim@JA
z8<|^Z^=<ICYP<&t@sX=iNd8XOJa!;4No{aOhfBNbh&$4=2nj&?`}?i9>u{b9KTxqC
z+m%Emir69coa(wdvoM4|1G56+*#d#FPd)1%Lg50G17Iy4NT3nc8HB${H=M0Aj^RNx
zXN-YPyASXl`kPcxU44#+m7_QL)97lbeAGPi5sPJoXEMbTZriU5eq?^ie49^fLwLze
z-sm2%yH~JA_orEc>QYmVP-_GT8d6ed8&&AB1|N6r@es<aC%*IOzX{!w<FCN>0KN+-
zUp#YFnSKGnHvu1gUGqDfJ`rGC!xmK70!TK{@gckik~5nGA(fDxvbO~O1&rp&NjlPb
zK&&AAhid%%o40TK0hu~)M;u#iXtlf`H|V7Y>d>m%Mr^uP{FlBy#C}BnbUr@4JGxIR
z++XwG@(m9Q`vw8N+|R-Q^Rxu(+TJpp@)6%DsL8`S89n+MApk7<e(x`^%^;ah5M|*a
z76F`^TAp^mRIoBAWXsuLrun?TUp9qbWaf4YRKJ?v8_DnVXTYM5XHqOkc+Kd2$NMgp
zINCc}QU4Dnv^_q5SoI*Kh?4sq0Cq?a6$-(;!CCU@y*xR1evnRtB%~;Im6R?9*QwhG
zSvyhA1sxD^w`-sM`SWKRgb8mU!PdjI4H8=tbS)vh2eEu0HxrcnxO3p?1mdENakgSG
zbQtsv5DwM`3)%n4mzF@@??qwjHi++1g_dP*>ov>8`URe+$NS~hBO$krf2vNo|0;lI
z>x0-IATZU(w2J4aLF}{jUPVx&Wa=pH{}|a$E#m(mkbm2aFb9XGOVQXcfM?YI2-^iB
zsg>T|sQAL#09(YfA49&tspPcn0(SWrSghb*-yVQH3#9hh;6Vf$Apq|EjdGxAwjaan
zQ!sS?wXY=MeyfSP^%0b#pFtp~Yq5R{AYH~f6_My(4`$wA`S?R^9<xXL!l#9OVktji
z2+^29-%=KEF98~fSb~vz2o#$ebnXla30VLr1=Kx(@Jmuk%61S%AiWwvhL1Evfd-<%
z;E;h1H1fcNf}&{=%z>;dEdJnZc?~VtfX4m^kX|d8JaV-1r~uKMhd=n1Y~P462U)p@
z_X55_sq2OjFi@R<(Ybw#x*KxE305F*Iv{K~`NfOprS9LqpFxGTNy7qu?&;>-Z4~(5
z+8|A~A7mGb@Tfuh&%whJ`u;sDkddl++672tG2}PDf7tW_AfYh8@IQn7VZCnS=HABa
zAj}8k8^dM7FN7d|8TyU}hlTMv*1>m)cjF5Y-v>)%ZSKA}_%*JH1io((!1C>Q&E}WT
z-CH0LGIdXY=3-}dmzQY8@1F7(rb&(VHP({gU&RAN4tKjFM4TH)AeidZ`tga0T_Bbz
z(Jug^dK+-cVi>XNy|s}13)JI0zxN>l5=aGe#{yW=fQ}XJtQ1wmYq)}biEZZO^hoUK
zz?d#olL2=Flb$KR6SH8SMBx18^txm^4>$~HoIAI0)w_s8Dbc5?sj0!k*wOK-NOCxQ
zG&wvfV4jfHBp}g&4<Cj&c)+jqkUo{b(U}gV-*)rxC<8ke#Lps&2&_xT$Iv4WALK)F
zGN4Ui2D{HCxJNJvCVRU?VPJsA1VSVj5Lpo{rEKwfvEZKrwD!U3@1tWN3=w@3Xd_^)
z28j`s{xSrGvtGLv3tZq(jv5O*VLU0Q9%$e*6yteIijtwr6%d(-nIZQ>s%d)&C1SH_
zf1)#7!})V+mh-_hyE9a(H6<mKZnrOyNMZBiiMV1d$c$+lGG2F;98S+)?xOtF0tRU4
z^F|1o0>q_oAuSK^(S`5Y)g?wU(1ubFpySKTqa(SQ2=Naq>DI6!|NQcDCot10_wT=M
zE#b`KepQLM;4t6>;Z(vkJj!lc;=bu1?I**|O7p;?6R?i>PW}XbyY(>Y*4YRb_Pt<=
z=Z@MrhmEEG%AR?Uc@*Cw2G0XD1_cWbu*^L$0esp`Gr-BW$6o+~3keWI0DvC^I~wFk
zBmHSm;0wG2_X?7oB?I<8LoD+;#5Y0Werqh32F<M(5<u-*fHMXBk<E=pfd3z#f^rJ1
zK?%Cw!{1!9QqK@9k?o$H1wlm*tVIuhRKSdwp0WEfI2Z}6@5IA8kbre}b#Xe>MGwfz
zFQ3Ti@zM7x5egmueqc&O7=wAGB+K>*j^)KWSz(6!#Ec%NC5cb=zdAhg(kZ}0bYciG
z3)x!0q>wN&s=(CCodgam64)t9eJX^TRa*Vuxmk+>!@78o>rm>u*fpprTu1OlF6Z#J
z`%awh6@(v)*Sn67h&NADNIQ2<zLUKssZ#$wIdw3^>`B+4Pc}VGd#j=9`f^wz_XK3-
z0<F-}%2LGf6Y`g<*D5EG3073UeI7QWimDI*|A!k5U%2)ldGm{lW~bZ#gX8qForX6+
zbXSP+7BUYB86^^7K}CWTK>?+#tDD#`<u}dnyOTIx)6(McSn*{D{O2y`J(aj^v_A;3
z`I8)W6F|rTH+y#b+QIRoD6ubUX311WG#3B*(qhDvst##pm`Nhd3hm{D%vuUMY_U`t
z>&gU0k~m`^8fq-`z~*}U#WoEi;{f!amiP3OfRZE|n7Q^RG5>9-Qwp|N=2$?8c)?&G
zZ~5R_uaw(@w+Pg6;_fsGxe9Yvr$0jh%?q0Re$1_oO?BH4v0Wn$p+9fD<TG}t+%Q{N
zw0Uwrb#GS-nV}IbpdJ`m)apz_GB}=vz<LU@HYHf9fg}<}!MvLXHg}Kz3lx43j+P9~
zq|O+Ug!P+Vf1Uz!0LJ}CX>p?eH_oznHv1hbTim(1`FWGH1KjOsq(>3h?<__@+JX4y
zp!3;<Z~d5cut`F2Ecm}q--=u*igE;z3OK#OhK7d7&UQnW_1-(uekJ{cqREc}lOGMH
zaiB7Y196(!q`GXpoN4umjiEsklrV@=QF<#y(jy)+K*9NT0JRcQj)EHyF(d_4-U8VN
zLPLJ|PzGJKK|unQ(}VLBrHmi|0xE{W9kSYfgPgGJ@h4`Pmk?tcf^c{4H_sHK=&(eJ
z!`Vdh?g*85?k%CC7@qepo`uu{74tRGe4M0Cd)?7RsU1XAHgrr({O~agL7?MO1fd=z
z)k#AYz)BS=3tbPmp$isRj#=QY#zK)%1GY(vuGg2r{dRgfS+`%!-E%}dm$rd{ElkRG
zwcg^5m6c|)oso6i$hS;OedG7gIl|8Qiqpso7rpWceI6&legYCbYop<zX#d*b?0B}^
ziU;b?xmuJoZp$t?CT?sH$4Q)btG<vh_;>e4Q3`lL25FgW8<(&D4ueX^8d@fx(JDz-
zWift$g>7SK9U>IVp=z3dCaBI%PM@J^S$}V@M%{EFlrO{3eEKn1UCV)TsfCWtT3Qfy
zT7)?Sr^iee2&Q}nk0Glv7kvW^?RI0u8I5rAK%;NKL~4Nh95PYkSp%=U0je~zK}Gmv
z%%S}J{7h%K&*<9PT5G7XzCcf_&M?|{(0Cl-t?j0&OK@>;zyWMm0W}3Ii;?K*C;ZM$
z!vnHb%QvrFSqrh%`Q0Zp_)YHa-A=L3ulT%F@`d%*w38=T2KSGDYK=MbOoL}}50;v*
zxxY0YdJ{uV+=yk_b@LO*iTpA$q6L~fSuL&Iy*=%e)BATY9>bpH3{&#LX$OREi`imH
zfksT9==}L%h`;<a@0MVXC-wRB=Uq4lX@|CFLM1)X=;gt1)6?yfhf4=+-_GCw9guv9
zWMk(H=Y|ODCFt3?OL+RbToWIVjpA}o5Y}_mwR>Y<@snphcg4gdyEm>Ps6i9%1|zg}
z4cUe4+^3w0P_w)bG|54)z|rf=>}=E69#nPD;M(3qMa>t_2oO$}J&FVgSzZpqqqr~G
zXlrN!OhrKvo7+%o?^<*CUs?c&vL1$IS3MFMEtWrl;s<mafbU4UZKkJ+Ieg4L)+~C#
zry#y>p%%})r_LgpTP3X5DU<!<LsYl^_v3y|<i8$C3Jd~9u?uw=*B?|4FT}NINzRZf
z%4l9Bm8_6vk&uj9F*TlEWU`8^!c~YLFIm9+mY1lx7M1jhgCfYGyY+saGDinqPp9Rh
zJVLhVGU#d}{%Q%%N6g~lbV&bV2$cYr@viB9omkn*lFa+5$N|n=Wz^>OHn&c)#r)Ee
zbGx}n0{73GAEWo`CTcj>r*uBFAAb|`!9h{Ay|-?telfq{`y8Y|bFj3#5HfRPAnj^v
zL*g<V2XJUG)72VzZW8Kc5cLgUqXbV(BMD+h+ncYDtm1A)jbt;8yeC~;LFz<k#ESv6
zekUAM`XbEGpp%HzANxuvc%q&i9KC{d!bqa#rOtn|o0S=z6X5G8X6=8|m}YF@XK)ot
zw}0T7nnAHSCO$)hk;enxAZNi%JDHHiIGv#7c<kQXJdyjo(5S`)o}XoB4sxbL<iTZT
zug@KLNXhJ;Ln3lg%5$1lsoDil@AA2Bd|H)A@DSHM`D`h^u6aqF!i16P{oU-x&y>Qp
zXWbzb2QB1gaz{oJ*Wq@l5#=dfyG@h`gRM(yZ+lx%6bWZ2-Pk9293Cw}{zXPl(x`mN
zz5zMdm^EpUq@6f5>DTq=A#rUcwD{+m<ucd611vV4%TlSux<f>MWz1ui6+aiclqWu}
z+QMsOD9>8;_O!Iqd0&wTOvcfrE4l5#x|8s*Z$L9e_SizyXXYyf19m%o1<SPcXC0Nd
zAL)4Rur=Md>Io|BgQbLv&)sw0jF0#^4G+man0fA{S&B<TMIS=^`ZVcn-VMY$4%M}g
zIIb4fiN{^d-L_Sfj7&w`NOnKv7`xPyLf;u-FS4v3&J$fv+bJlOaGsKcJX*vmInS(5
z*%=xVvcjx>>wK(x>%#fRm($Nnq4sUki3)uU4)~{%QR|~9`1jg}Sk)ew>#6tm*`@sD
zmiL=pVz!cDS_E9T&;A2Ahsd-*n2P0c`ifbJZe!Xl?-z%u4`gI?kbJcqOy*G=n~FIn
zlm{IxehNA7bIV7yZ@MTN)F}C}@NtSMn`alWmK0;m)UJ@EqK)`!4)Fahpdv6IXG)3J
zxJh0vzGH$S;WW6!He2}~)49LXnE<c5WJMl=Kb>(PRxtDY`BPncCx;d)&gey~t;bs7
zw%V0JL=(z{_2<(gF`3Q@2;RKE_vUS=b>;l8k<Zh9M3_@fCL`?*<E2I#o^(u{hCJ6H
z>1+fmWelRw{mAgTyeVlgTVCVSotU^VK4RNRC_j+e(wTb^I){szm1X_qR{|EL@$sDR
z`eeKxB&I$Q``MvZQSa$-Y;RI@Ymr0-1+8Ep-DI?)yUd9+TFBHSXsKCCV1R@sYC8A#
z-F?ZOja4m2Q8X#JsgT+9?akY8>ult~tcN&LwWO6xkjtKrZ*9($Cbl)Z#loCfiZsR2
z3}&{yq3lCVfv=1oOWZf0p&gm^co8>b3zdrTR2`c?MI!hhE<^pXiwOGpNv+ZJp#CO?
z4=T3cwJ^mPf3q^m5yRGhVV25RW6x^U+#B9?7zxEhn`<Wzklz-gz;N&_ZC{mG5_Ei9
z>FCr-h<b-w)oyV*hw-t<dzeyM`!SZPYCg6A%BNS$l_ZDrCQN;!d8S{xd{k2(q;8R7
zV?4&Xbk}F?ye(NvcJ;}a-h*`^4(7}iB<wIJIw1c(^<cIxuB;EnK@$U~c>jPV@?twG
z>Z3b8zUMvJLzWl)zs*`MXTD*(p*$TnTWo+soc>-~JN-Vsk0*vv7(pyG-z=+XOl1{C
zW*X*k`VYKxS|1h?Pwr;+P@Kwu{oWRCFCmzgi%5PI8uKzw`E7F5e9AdubT$9wdyS&v
z8nR(3pFCu?@=;hBW9(ECOw^Z>`v+u&?{=Mcwwl1+;3WCJ`IzChFX!IR!=ejyM!Ne_
zo<8|?)*i|Zuekr58&dW4z;Kf)dFZQ*X={ByNZFn!HXrTz5I*wv*==P0^s78-nurc(
z(;3743Sn%k<s)=XkolSkX<xN~dS(B8iQg{8N1dw%nnDH#RMPdFjGq-#ebPfxai~_E
zgf<1SUC+HPXfCguED>OrBjlKTGS)`kfc@ju?;>#wPM>L%2v>3U(@t#_GFchT{j)DA
z{pr`vgtVyV`E(MgjRUFcu>JLrMCI>?7~`V6F+^yojvh*T%L|E9C-Jk(U7?jM#t(Ul
zA~E(bNZ+YF`293_W*L(ZTY$7#g~m<drmjoet{AEO1onFMa&+b%A8CreDILWmVT<;t
z%~o2#^!xPanTs$(NRTW*wC*=|y8<d(oK2g?^o=?U$BtE{IJS@3$JlP?nwfCMH1U-R
z`u9;9Y-({q6n*5z`RDyYlPUV%WEy6;5lFdG){j+U7=>(6dpswmwbPiDZf~FlM;q?Y
z#T3?%pd1w>S5A|NS#;%!evs<rgW+~M;;$8-F584$_;~oJZ>BJ0go?l@nBa9$-+(N;
zdR!0@P1+EXeY~!i(O3uOkp|^y1;s*%EY`PIJz_@|F*4J{%>>OwB(^o1zKYwE7}099
zosfjKa<(kJ(Y5<?Hzn;g`{6e(3H{~NfL!h<5kj?=Ybe)q#oefrBofZ#z6d$t2hT!W
z_^xdh>JG_Lo>DXUjP=k9Ua^eM`HQM{g1pDfiD1Y$Qxh(IGGrw1nz<RTpvtVgEN0@1
z2x+%FKeoowQA1=MrQ5p#@p$cTzcMweWIyCSn0JsMZa>A){qUS7NkCUcr@Lf8wf1XF
zj11gnm9yKdXC5+B6jFhT@4&lM$~XItIxgRp&My}gh!R5?s}%ZHC1Ce*#k^A^qO|(_
zmqPd4oLdGCG5cNuQ{JD%v%#TrkcYD$l1a^%#JaL@TwZXiv#|D02ILFcAxZgN*s#-i
z&P#h4d8SKPxul}0c1vb#tD%1;3kFT*z4AI^6=w=g&A(v=9}1?XU@>`sO+!n~DL?Z3
zNRcDBR98TXvH+DrH5ZyGpXoLzN*ZN_?1@RNS7n*B+pntCQ&6)CS}x~afYNN~4PGAR
zB5Dfd+i!ZQa)f%UOO3Bq(+%xj{oTYDvsHFW)8KX6o4BP?`OH69kI&BuU_ZbadnuhC
zNf578whcE#6uBWv=E|Sc?z0BXB~_!I!&)`M1_K+fZgCKmN@9%ixr2%i@&y_FP*%Rk
zTg*91wZ5ElOnYKN@|qcVBJ6(@E64SMgI2haj70XbiDwc%x|9-8B$u3EDV=7Hu86^x
z!z#wye0fQpl7Jj@bEDR?N#HvF$7~jyARXh|lWU3hW8~J}Cb6PRe6Kk9u?>DnhusGs
z*?lfvV%FmbolD!Tc#Y%pnsTBzm_r&BMw-sy)4&`wIM`Viir0O)>~~a6e)mPp77x^n
zO&NolaPI4dFF$ry%t&|CQkZfB(j|S$Fg-iuGlPP-@y_0rnOQH5ti>kNZMg66sWqle
zhzljwCvKXE-}_8YNLs}AaPKXcsjd_SQ4o=}UsU4_BZxj{x$Gd<hHJ+a@WXkWRju>V
zJxb#k&dMw2W9|C~<YhFI&z7p&x?MN^{Bn1`wd{8rjgLoyKSzPx`vs?nV<+aAy_1Dp
zS7YZkr#9xnUC;ER=~W2}Qu254cO>UO;QrwrqHaz@UF$gPR6TxhMK@{ap-5tKbWqNB
zBmz;h^-G1c$knT*6+!iC^MQpm16T}4_5%9H^SFxo3khPiugI6bTxBjb1+_R2&xDFh
zslIG+*XnE(B!=t=5H99!uNP5?5_sC%@Qu1Q3_PA`3@|_TR2rT+vA3{%|EAxxq)#8D
z?aP+Sm(X?w{THNUWFpA?%(Z1oG5yB1lNI1<dsmexFEcC4ew%+_-#`hT6G~e<{-@^r
zL)mJ#%4_n}x7Bu$V{ACkC-x2}hh3D>B&=K7$?kc^+UBL};RMmUaU>;ugsqQRn2As4
ziM?}-6=yLy8gWqeQ_eac6oTX`nt|3Zq3KXS!FcQmLMA=Yvy#`4sHvTtSxH@rA|WI5
zgL3>0gTK-?upCqf!w~lsCRktjMESe(Gm)iM#6lZ93__M+datte!;S-Uj(9EcE-_~=
zuwi%e;%B4WScbD>`UdW3e!g~9fYHyM$aoiy143oLNl4Xp&*}jGcDybd6g&5(wM@uY
zw7hK)dLqTR+ewX(^7f*q4y#n0lNTg&pQW~1S06|nCUDAyEa>GaFK<e}{ozW0wN#85
ziAiIw+#+`NrXyz$kDv{w+k=?~!&vDh(Qh-;*wYu}h9pdv($I4_s3N`5UvDj!A@dX6
z9txML&&($k{{Z`rtiaWG;xpm$S}Fr~pSApqaU*SBE;g2TLu)^~XbXjP3$h-JFo$A(
zV^PD#aJ$4po%g&%W%oAh9t>8W<+YP><IDSd?sM^SHshlj`JN{lg>S)0@6DEmCwvGy
z-@Ti`<yOV#Z#s5&;(hvc&3yjSbsLw$o>FM427UZc&|Ku2xIzVVGowX%FF}iS$PPn#
z1h`J`{{8(FIgA1Zo&R|J^Jj7ZeOunT-gx1^2dFyIeGj}_zQ`*M59fXH7^MJ252<_(
zO~Ic64w$(FN^_(K_mA<i4|g6UF#T4CjxBJ8LJxWHb$2PRtZDnaYWM3TO#i?s<J+k?
z`Dp9Xb&8}+4Xv$sXaB<R4gN_qtHJdW`_aZmNq}!b-G32WYR)T?wZMWwc)!kcd=Pga
z(oU}8zCpTe3Fn{NTb<IPwxtv0HRDO#y?`u+0Em>#@a`j6<@`Wg`vDTavJy7i$W_w;
zorJD|cfn1AH062z`#YswOk!e?ed8f61ZF;Uc5Vk`=p_K^%r|b-K2C;YGo-DvZlmXQ
z<nMt-B7`W#+mLydt$OO^;|Rzp_*7oy<?+a1BgRss^*MywHwzHHGRw}&numsQI`x_r
zevi68JyhSln5WDXUi{O&3X|T~xbWhS%jZd(*OllTj!W>HafL~!OQq?wt((uA&K7!s
zS5$-wq@hkLUI;J={I~0$dWe@I9Z~%BtHOUI+oM3_n9u!PrLefF1K5aaL1g?3_=+#I
z05pz3IvkwX0ZbHzaI&#A(3@umnuv{j&jKH6d2#V($S$<qaz`48?w3ujy@`ukdWLuq
z8bHAP!Rhee;4x%2wbp|1)dnQfA@SnRexw82<T7Rn-**B)amnY~@6l)on=*t;%mei9
z!sHcbD~9m{X0N8!2(&MNa4EZ2c8y2diWR!Ne?Vm|PVWRSR%wcimH?Qf272iTChSMP
zrd%O2`TXK5g_kI^-k`pnwXU6Y)r2O45!V|glg}jsJ2g?i%Ha^Er=8rWK7M?t4j#D-
zc&$nr*52CeNPOek$_g4RawfTxfKSM2X`OB-H2nYxzT)(rI{e*5N=i!oIIq~8!UgCE
ztahbRKzFYOwU5!o!`rrppFHyf%0A<&Nm5$cV7O=L0COT)d4O=BP+VMGKc;Ggz@YgO
zel-VJKPC$3*Gt^oJsCvM^$zUScqktLM>By~hKMvauv2USDoz<*38)R0=!_c+@>-Z&
zCIEM!2E2~}ts#ej#*P34Yir>^3=_lc<*w+5^hqqRT(khj8I_obk3zU{aQe+=dM5DY
zaU-qr0QSF;@(M;4wC-&D;xq#84FDIZUJ*0NL6R5rgp3$9@*skim=`7k0s}LFI|f#Z
zr=$S<%XE;1hc^S<o_eI7nxLR{@V&1dEYZSW%eW$L7h{B&Fh9nZLRD+NKW_K`_8LDM
zGtqWBy@8wU8Jo%M%_6>?HK3=!w)+uUwLw^zl$@MgR)w-m)}kab|E4}lU8he)pYT1u
zM|MegINN^_(;{@dh8tnuNJybyJ+q`F1N2B~hIs%R6`@kH2+`*cs&~QO3ixgqYzJmQ
zAmI}cwF68p2q|ii@n-@sr5Knra0zLAAeat(+9dGM6K^<kBduit?@b3I<B!QIe()oQ
z15}z0X`hM0HdNpU53!pZm{oZWreiQ9<3Ro-(l8VE0(}rPeOUn87jH>F(iLfRlp3s!
z(5x5*y;creOb?IC78Mg@u~j8^DWLO61UP4RevJ|XWXQkXboydvWl7f`&{sm}>w<>@
zZwCr7gCeX4L?fSrcX|rU|5_FGsa^*V^5Ny><?4eC;L-y=Wu<r>o?HijRt#UkWO@$#
zygGmLo~8Fsdg#SCYX{D$Vd&>%lAKQ<Ain9s<NOGV53}A_`D?cdLobS=iySLgJK0iN
zt!CB>H$C8axWyW|#l$PGx+go(ntR|f#I+)hKt^w9KF7v}7=>WGI_3T)Ra=@v20O#+
zAN=FtggdW{V=(DhG<HnNgpgE&&&b$AvS7gu1DOE=gjm4i$-)zP@pnxWQca2B>)dsB
zzX1p<cHMLYVgN=VI|O*#@u4VyuDsIFy9wA<d@ZmIBJC=R-FK~XxRIt!;9Qu8CkX+c
z3TkxJ{VCVUf%KIFoOTEXEMVOU6P6BOw-JEI0<r`%Q&Xgw)FM2XHh8qi=8sGk2*1=Z
zhwdf*X=zO0XoVK28rLwLL0o`j7BH*Z2Eup0K1HsZ0#tW%d%MG>9a9H~pTD*VydT}$
zQytIL&G1{oq$l?!@WEVm3FIy&_lp~7<n@z5ar?1Yj1T@C?e1ISJkd-D@v7U~UxTj)
z)=L6d^sl`Uu?vCLh93t9H_-p<CJJ)sZo~OqH-<eCZ_X=Exw8XLp?kI{uSLJoHki)7
zzU1*Z_$h&VdDU);wDE#29t5H7en4t9{K)(Q{b>-Y9=U(8r<j6G7THQr#$dha0;0&S
zYWn-r6kv)LvXh@6l(RpqKqg?^MY10MlfX=2=Q`~?N_kuZurq`^^H=njLKC4o(3kc}
z<DsR*>CtaD;6WW0+RhyvZ+LeC#w-Bz2~1f`G4G7iHuCn!lM4G;Mp$2NgR@jZqR{it
zFnE26XpU>A;M#m(iI_B*hRiW~_AxHeRw;vGTfAaPb~z5ldOS&tmm$XQ&r8Uf+?8i3
z#l&iUb0C%UaCK0TBq_5_Ym18a;DN=UHa#q|=c8II#{Z4Yg$P&BdBoN*Fmp2@FwV$j
zo;z6rm+y6;;DGz_UUDP$2sDmJ`URXkC+C5e&l7O-J%-Q)m-VUO<y4Oguv)f)g?MxR
z6%&&FDmxiYBZ!IEpurgZ5-7q<)wG+afrmMwFdl${f{<Ta2vXPtPq+yfpv0gx>3YMy
zktej|1LGh*ydV(hq6L^5vTH_vw7Nt0FUEhh)PsIsk2ZIA+hLOn{VEJ^1!gy1!d7UK
zmaVadnC@Y$BW~)#gK?x4AZ+frUpl>^Q?1F*;jAA(tR>Cf(K|yqSs#%5nM<=^UBRXy
zG-mTLKm|N?6j{g%{uL>E-Zr1BjIzvrG`w*d1RtOj>NJ^#$IYE($6R{@IZHX;hsxU!
zm51paT5KY_bHmQuCA+j3&P$RWBB(it{q0y8$=m8;iJV(b^Ol1cj-gx)4pcK_I~RMO
zo@9oC1<(WhWmv#ae*_y=DBlpQQjrjXi?pIchkzD_Sxk%u+Nj+``kqT{He(_35!iu9
z=;=L2ir9<_lu^*&o97KH9tzn;EPCT9>!zSdw}Ho61uVMOYQ9L{7Z7Y^LO!rcqz_aF
z#>4OBkq)yn(1HtY2nGsz27+Y54-t`Ec=r?<zaSQLu&Hm2KT4Z#{JZWS8A%MbS>SYF
zB`g8U6ps=0WKqubmS}3GOTQMdEZhoxsm??2JkEViOmP&J{(ub?X$5sNck^y)>VZcV
zb|GqSZDO>F7=jYo5jXE9EVL#gXs!ENp4;6VV>M16G&TZ&=Lk|Tfz2yl<hbAZ^IBAL
zc>pbK4|E-(ds2NH8YNZ0@?>42`wZ%yH)&}_!0b%ax!Uh;ZG8fHgB7r=K;7gO6%|=p
zTB6Y_Kxb3<ya0X7g*86CQW<F3mk*{NHR#JrL`*yit(_|-*Cs%!WjB=W>jHt5NRb5M
z4Jd!0Xyit{y6gTjAb?U*?%jJ4EiLE>l>;%iUtmvB)zX4c<?N~{M@2R91b%Oryc5uS
z*xA)}6jniNc*Nzd8#A(zL~2(~1X&Y=2=6@Vf0G5u4s~j3YPf>j+L{_G=n0!D?ppX*
z9NghJ_jgtxv?hX9=zB=h2jFYOY+Zl;0)0V!&+PXN1@|@;s}8_N0j_wY{FOgnL^#E(
zO~rv(<JyGv=Z`%p1=SLfV<xkOhF+7<5OXXIoO{TN^MN7+)m{Zi0d9aP`=;qDgh#rn
zYv&#_lKm6*B^kRRarEB<iz}x5aY;$Ju)fro9wUh$sW#7{O3z%j9!L_p3o^V=JAMw1
zyRNHa8L%T?_(jw@1bpKUm<2sYo&(Vnnv$ns{m{nv!({2?+8+>`{D1`2Y&bt$(TG@>
z_yb2kVT4^<wtkZ#A-kHD&-9B(jp<ka(s~fuwBjdjo^lg`>IjcLn)g*HRY`*BEML=`
zFIAwOLxYDsd}3|y>P9bfe9n<r2_QEN)J&XEIInT}jRg9t7Kjjq630gN4=jbj0!>-h
z2*->Iz0lN5295{dRrH6bmim)FzuMPb9jLzc2H&e;3RhE4M$IiPX=PU$7#IwdnB9E_
zf-VC+KKow~e^KyMTv+x9byy=!6vTP+D`)kbO@e3r1!IFHRvxCkwe384ugT6%JkUc}
zc3wieBK@V*BuSV!IaE?*yfMC_?uC@+=2CBJA!K(VghIfaiM;KPo5b+SI{g4+y9}Q>
z;~-R6k4aEGvTUp>IEdZ>y4mKW>e6x_-Y2Tco)gD0Wr-fy*s(ftw#fOG{I=jK)HnaQ
zp7e`+d{Wu~zDtw#5vYD$3%<P_GoDl!=#?DQMT)RKE99i%#IfEX#)<fhyE|=iW$d2J
zS0VexO&vR_(2v-9vTs^O=BxpNQ3%0nE%cA<W@pYeop%~LjAcTkS_ufp^<)kMXM(EM
z#KF!p{wk@OR|f)Lrz+q_Z~P{ldKYpnbm10hx3#c1xtg;)VRRZc&3WVd-*A<L#ED5s
zuSf19dxe>z-x7u9D_so%S!@E9=-o&y=d@K&d-2rCqYbC}FFdWOmKrCs`ustYlrAds
z78`a~^maK&eiC~kfLY2qJL1m<KbF{pwgc06b9Sn#Q)D&rcNYG1NA*0OX>Da;5fydS
zwJ4XZn5nYFt2Qu5@2i+759gc-F1C6io$fie+KB!`i`ui}t|IUX3hD{k_W|gD6yT!(
zQzD-ZW*X8n=vzi}Nwd8c!~VA5M5ddu+Uxg;48gGaba=p>%(>_3bHqQ|Y<U0ZE@g7Q
zh!>lAKyBjN&>V%}AGt9!c*fzEb!n6Gz4{`6)nZ$OQjL_72SLi9BbPW~%e!;OOVr3M
z%>pp2xr}SZ-;@M9V+*5nU{wiP=CUDMs#*y!M<ph6PqYkpa2q3(z8assATA@?dxiC*
zW(iG*@K=g(0deTZVi=5^lr_;!?^lEmYZ8n6?rI5ij?j5O7*jqE5U{3&CfmnA?;zt4
z?o<{0Xq|rKqM8s;Lq;X|o^~F-DdiZEjzs*B>R$5O;2dr}yFb`Iqv^U!rmvjO5CyOx
zFN{JD+%EZZx5?}=PB@!|O*==UxGoZDy`WKW)`snkz^{?}z$t_7X5`rWwf+J40Hh09
z=G71t4beqWiFbaFG7hRZ^Br2Etz7sr(PXLlYX;ahsB#Pe?wj{-iomz{H<W^UES`nT
zn5orc&AF2*0frr5`G^_Kjc^C^fmIZ4N|d1z5&~AKP2b>d2j$#Epm3QbDmYcUyDw~@
z*z-&)@)#od=~+9GFRsOG`{y<4H^w(9_!z01Fe>3=&U&D7^InzR(2<ouiDGng;3!0o
zCk3Gu%9Xtca2)Pq=PZnT{vc>(k&^=C0KDR?9~HMOps_XIOhvF+G7fS`5?|A>-bzBA
zcuvSj;A4DCOtH(&F-Mz$K{@Vcz0?#elt10NEvSmUW@2o4r@a?JL{|-Dv@TC%HwHA{
z!U#hZkIM?YF!6bxjC>Qmv*!`VXC5H3Y3nCXB9Yg8TX$1N+I!si?1sT$(%fYCxj<5%
zU6Y8w;s0KB_WiZKe|#rDgWA00<DG}2%CVDht;~s3E8xd9XQ2oaKg>alE}c21aH9Hl
zdu9?+Ek2|s(Od$)(Y0bO4YlrXtd%jB)OND{ZoDQ4?FVcqh7xHDwiZ2kOK1VzrOO=;
zS1lj0Frx_&uu83>B>RW|{UfYqWfE5W&B1Ea^|R{}08;FON{|K$MR+PNb6XP#vRRBU
z+)aN@qbF;=`+9vq^$`MS%Z%2(%=0Bnp8RF#-2YeCnMYH-?qU2VY(j<*iY9keRH9?d
zm?530L)nqa*on5orjt!M$xw#GIc|fH;p!;1DH)P^+Okxl+GNU9NSsJX3HN#Tx_{k!
z?(d&gtCnTI`~AJ|`+dI8`*{>7Zvh7pxyqFRH4_^8Yi#LJ-yE2SMN{qT)F}m<O4hjM
z>k;>}ctJ@%3UbCb(U1S|QIa;WM4ef7uZdcmW~EPP>a9i(#kzeBT|;5i^5jpKT}rF?
zMm7^IyDKV+Ax%E(2{n45Pp!$8RKY1r%2`FSr$fo=Yl#&*W>10rI=MPsSp&XW{@Rv$
z)5;`WlSMC<Hrf@)t$_|B-*IA6v`&EH=Q}~&6k4xlWOLwV@|CQQ7XLUU9V1k4r@?0;
zx22SC&VG$V?x2t^UUlBLsMQ2~^f~#6c3O2nX<O^=&~fe^iHWn1w!csPo{XmG3D_JR
zU0D%HYO1QLl*x;s;5(~g#_}Xy$CU;MF&ah!9D;kNB)*P>Gue6@>8V%o-}h<g3)mhX
zVX!E)W@5w|0{5A(Z7QhPQ1ch<m|=SC`PI?Qr;CbgvmF|pF6HFBzlD-5j<aBG7s~9s
zbwO*EuT?RKR__<l-NNC#wWM^CQ^Nl<<Fr~xhyVfvnkMAmTr4iuBzO5I<V(UhZhp%}
zMCy441yi~w5)u(|>!+bFWP990L!W|7g(tp<ObYVY=JDPVazJCOAfrwmJ1_DokSD`2
zoQx>GMFToHyxs27!%>4ZsLaA2he6+22RMHSjO0m5ncbDhxS0b@A!Z>Fs+$u|sTpsV
zQ20RaXaIPm4R*AQ&o~X6!s0-{Z;=ZL+mF&vk)eE|@1GMzEob&@lf3YN#v5guP&&0X
z?|FE~&WWBl)e7cMNt(-H?A-$&Z$Xk5?)j6-9@p$2&y+@GUFJo{GcsZDmxb9>TYt|b
ze-Ke%DLvrrB~KF(6(ynM@Wl#jwa?$?sJ3m}nOC!*9?7}6yOWGz-Q3?}V>u|#rr;&k
z&F#PE%8!D^u2APt7~0ygd)wE0U9NurF4|pko7`^6YwPaFp`2pOvtUXAxNOueAD@g|
z7C+!^WzLOUnjup12U!1Y=-_mHx|{~qgd(ch$f#@CPod2Qo;z3X=J&m_Q(X)UDjBGI
z=L_d$SFIYtW(qO(H2Wzi0_%;9`?IYvTB_e>0COqy>QsYLGkSRv%1k6Oy9byT=GTy1
zN(eE>etoKCVN3vh8i-E@KckLYGOi}L@z5tVe)+`s7^#h(YRf8|%4W-^ob&F7cS>PQ
z**VNK$W%DIs(x8Cw=3Z#t(Dy9^Ra~C*0I<#6lQBz92QXv^HInTCt<C~Es!Sv1j?HT
zuOooykw|R-$fh9_P!y>Wadyl=p#p$g6I`f5+?kRNOj6(BSRE3><H=>qmiqLG41Di2
zHZ(Mx2Hp^<1wwGMmLVDxQOVf{dn&;N@&zvd4oi6`I8+F*9I`m-Zf^<rdjE&R1x_n)
zuqHS~PdJX-gDS=@$vM@cctH@s#LklUSGFXxqOCh_3Ma3%vq;*~WZI@kT~jVN;NGw1
zME~-?lG(%V4N(7=5^<Es^Z!2Q7bT49C_Xhc4umKdXy#ZFXyBSfpcqxw)RZBz9?X;)
zZjHhhBO=^z!X){i@V4CpCWPpI01uf!03gy9MhDh=S<H5`G^6uvFv}s8MGk6h6VBqq
zzzk-ZC`N_k`cf3he1S$wGNEw@cR}>BLj`L)K}D|Y>8%RV!7xLCjDi`E3Q0>#Yw+xN
z`?xg_)EPputLy7iBCP-@1~CxbWEXm&oFI~f2<m(H3j34|Mu;pJniq76UkX!qP=9W7
z=Hhzi5Sm<YZ~DuW(4%?UDUSc5N<yZ)Y7AQL8_u()+4q@g`T^pg3=#=r8gxZvL_mRm
zVv0}y_*#4vdo6EU;9_iO_(Dj$G_ugcpPn>>bsG8_7`oL8z$~l@o*NV@tEf<h+z4Nv
z1!fnnzFfh_0DeY9!tj$Mk{1a426^P}Fels4;UZUtfQICzrnIH+9uSXdSV>6<tpUap
z0eFcYA(2r~N^V0@M=xVDs$4>+aZ84-Y+soc5)zUTvp964U<9XiU>r%-1Rq5*Uy+&N
zJJz-V_bS+)6(HQmW7?^avpkqR*FP68wQ`jrL`~D>X%?0gE#Ijub#us;T_%2SqqE#!
z=H&f4`er40b;_B{*Odye!4o(QABA*@M#uqweZqTmp10fPadA1IH*h%C;xXt~L{~z*
z3Giy_zzxC9-3vX>*UyiS0t#jTT1pe*aN1yZMT89va+MH;K!tTcx)77HV%!Vd9qB#u
zVn2~Q)B!`YPTVPoOr1KsSL!F4|Hzok2L&d>Sm&2llJJjZmL8Es#*7%<f?QI%Rr9P}
zT@1i88Qdgby}}#%unfyY!Q8%+iLYiP<<=Kafj@sbSH-oEWSi&;=$OPysAQ(oO+x*b
z?>;!{v3aeIPp?t0jBj31PZ85On>{~^QEx|S9qCU9T%2%e+f3fxS<-=5(ALI=LJ>|8
z#8G>x_tA;ohtklS6w#C7L(&3e0`unO*@`*tW1?81=r+fDf#1;v!>I@Ok%Q)uR{R(O
zG*U#uJyCf{&N1mV5=a;>2E^3X)@HDFEHK`1f>v006{+H0zz`My69)%}_Hrn6gODGp
zhD>YleFmbjq>lU^q8MTIEodw37r*g=YNVo~@1K%0o01O^ri{Y+H~VMgxc65d#Nq%u
zp9`2z;_o3k2qFri<t)Fs-6>L@N^u=o6;+<g5}+@yCNmQ$NMUIg78M{HnxRubQC=On
zb-*LWs8ypW1sOuZ8aozZKz5XyeCV$+Mt6ry@+?(+%qTGKD#72H1K|~_j|72rO-)bl
z_Vra4YbawhJ?|F4Fh0om@igUvT?IJ6BhimDvFC{fFMjnvH|aK(LyH1H!M@`T5{K*`
z93$L7BS6V%Os8G`VjiS5KFt62-J!b!IkgKBLxz-|stqMbrT?64_rS@upJmr|ejcwB
z?sKFyY(;Mo*fS-R+JbZr=t5!Wo$R^}w-@|g*;!dx*Kxzi-s6|PayqkYkhVfxyo0o{
zIBxAgG<pRGSHo563Au~==#gbliPv4M8mpC*^5A<-g8aZ{<Ccys^$miuesKi`ff#m6
zPrcaF*W0UUU~p{a<Hwgi54;MTs)|ujcSGO;buwJ-SeXr-4*fBQ(!^k7r2r$AVsQ3!
zwl}QEw{&g6fzA3*^(7U5OV-}cghxAr1z^q?_?0gqyy@p6_OFePpC%Jj?Nk14Q;O!P
ze-isJgTZciM!<*u{{GzN=H{FfmJnc@ZAbvQyYA{t=jZXY@wsNXD&;MV7X~@|wd(I!
z<>Xs(6*0U$4_K3qcU!m4v$(U~_V)IiuaETgDzWtZt<Ts0zkI$?jGFs0g$XTBp1j0*
zajb9=*)r(v(Tjh>dZZ<0MyHQHNxY3bGEQm2)vLG3?{wvgSmfsj*RfQ?pffo4SWN2X
z5W%Vljl%Twbn8j308w~k<Nw@`N_N{uizUadg{)1gR#HJKvy<Zi07@=kgT>e;oOQ<0
zjvM~v4%y`b-aYv<0XJ__8crkEBt9i27W)mt;!7J7EqAompVO04`7*4%k0GtQ<nYJ0
zO|JKD(Wdgd^ccJFLq~^)`Ej4I$X(J_g_pt2-3pzz5tq9N<q%B7<_TT%>qNR37v)vM
zRYRkrk?7FeR0_{}UdWV2Rfgz3-ow`V+e0XE4V!DVV2dQYKlopzai8dEoK4PeXuZKK
z>ii^bH+>9K_oU@|wj6J{jdd+_FfxXCiizRMlF8Ud$32`+P|Av3rH+1y-W$=SK&JBl
df0~aiNpwHa_v22a{Z8Te(c*x4zNt&tzX29jJRtx8

literal 0
HcmV?d00001

diff --git a/docs/manual/inherit_graph_1.map b/docs/manual/inherit_graph_1.map
new file mode 100644
index 0000000..c129322
--- /dev/null
+++ b/docs/manual/inherit_graph_1.map
@@ -0,0 +1,3 @@
+<map id="Graphical Class Hierarchy" name="Graphical Class Hierarchy">
+<area shape="rect" id="Node000000" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="5,5,137,31"/>
+</map>
diff --git a/docs/manual/inherit_graph_1.md5 b/docs/manual/inherit_graph_1.md5
new file mode 100644
index 0000000..ed1e310
--- /dev/null
+++ b/docs/manual/inherit_graph_1.md5
@@ -0,0 +1 @@
+65918d135faed85a5d80296a021b4cf3
\ No newline at end of file
diff --git a/docs/manual/inherit_graph_1.png b/docs/manual/inherit_graph_1.png
new file mode 100644
index 0000000000000000000000000000000000000000..f36291a4f90163f7ced46ce456a2073db38fb6bc
GIT binary patch
literal 2310
zcmYjTc{tQv8~#bDQ1)dsmY7V|mn2)pHW@PZeTj)=WXn=ndZngNX68lNcO%A5S<_So
z6W1`z$nx6vEriOJcz<2rKi_lKKhAZ|bMEIp_j8_GS)k5vig5w}aK_XGX#<W#u)$7o
zfW1fLu^4dR@H9gqfulbqpHlJ?08X`-A`R@qv)8hGP3(fs(W*0O-h$p^nPYd_uhRuj
z)3F95a{6}95SizM^5cS6br`gPHBxw(17bM;#9Qa4ub{(-*##GC>!gg4rYx^3uL;^i
zzX~2$G#8V+kMtIId~>51q2oIdxqb^{KEnFQ|JmGRT#=uYv^3R7IteXF^h6$7m>g<c
zxNz-PD0=Xx)N|ye8`4SHN1@)&57>8kVk+|3$MIg$T3UOJjxt+20^;K1UT*twUwQY^
zq{L9|ipbgc^k-No-&<aSjHhs6FtXdTj~21BF5VC@dPT7QfE54FKcBl^!dp7j)YO6x
z4<<KNoy^U9f=06p&Xp7wbCi~r8d=k8W)>IY-oJkzE&1rjl68A~`xKLe%9&{l9H*|0
zHa;?AJZ23K#|ywM4usdvQ|#0=G-mrtEOik(o3p4yXw7X~TLHYWS7Q?si!?Vkul}yB
zt=;$K%a@=Y8qHXgJC<$WO7IL4i9(Sml;3He&)QoEz^vWfiK(fn5_v%Z0UeD&lijR!
z9wX1}?d|&@PWq*G)Yeuu1&4|l_v(|t+`<BNXh;NsKv>DA48QT_0x&;U2IBGf)uQQ@
zl^14d%51=kgalPz7ObhcxwWh7v>3ryWg=HMYHEJ|gruZoQ%egeKOgwCLocRKbcvFB
zXGKIrG_|yD4pum00|VD>)l^h?>+9>C-i66AvbER&6EwO#TPyVG{yQQY=Gz2?TwZQu
zV`Ee8*FTxfC9L>qeY}MY@c0=0EGI{tpP&D@xTU4#)$k1fNX*GO^V;V5)D-5TAZL3=
zM*)e%Zf|d2)6hU$?k|~MUnf$jREv7-WwG78y@EGy-sp{Lt4Pbpv=tT>4tsENa-NFe
z<Ky$kVlf5=Z1(a(>SAY1L$>C+u0B|Y5{zXO6cl`Yd_ETzO5gVOW-^&c9Jt4@jI1oP
zsHmuhy1I?;i@jm@?#)--XxW{oi=?Kd_0#DIU0q#@a&iSY9D7z~CRRl>eCiXMMIIst
z=4@kQ2yk<8k=(0&Zr(hfa{WR-i?#m+)@4mHR)xb+n$_9aPzmiY@=z^W*2~>p;xD%*
zeOFi4)RdGY*if}cZ+!fzWT+JbcakRrL=x6D+8ESNqs6wiw!*p=d-H4ytZFJN2`-hX
zA<fy~dbp{Bg98in2t|YzIFw%i80o4wEiElYW#wW50lesEqBvA9`f9yPz{j0b7^$#O
z6as;4kK%1zT;$suf+iVqw#79h60X|gV=)tZD<DAW`_|Ud>S{M0&kbI`Z(_pTsj0Km
zByhL}ge5oE0uG0-glVt*j0CGJ40iYMVDI6tZ6(k$($hQ3%H%<!G&D3MAKZlY%O=ll
z&C{Dh7a0ikmO#%(Dv&r>nxZrHT7q!Ws(<$5xrduGCn_r{hFL5_f^pmKZn%rHb8T~T
zhN-D32%?NBh*Z3MN|~+F>C>mV&zup$haMgNojgZR`^(qMtF6+tk;PyTK{EVC=m}6D
zJ|@ccfq{V=TU-1zHa0eLb#<Jbd`G?CP`*tmFBFO|DuUrfRgVFffB=Ghxx@5KM*=n|
z=yQsKV@=?=HlXk8EB7N(_u%*M>91e8JUl##ii-`UlQ65pwVF}eiXgM5K(fWe0Ao$T
zBwJk>6j4xuJ|6<UMuhrF`f~yJ-ER}R)0g}_rL=w@9OT={Z!R%q#wbxD^i(Ay3`Pp1
z;@w4tIC<a>pzrJqd4j{~^w^i$k*lhNX@`f0)LAeFGYdUgi6$_kk@%hcwO#!`kHppW
zoT8#409fWBI+mCuYd1G;f-#OtH9UU&H~_q-P@YA69jr8RauRi@ay#AZM(pde0wy&k
zm`pw)At9>t(7?bn2pD(_tvf@FPeOvYzaI&M!@Xu{1g9Fz<9vmb!*Jb=qra^^GI1Sk
zZS23c*NpuA6^qTYI8Z3m+mNz>JD^;EV2Pw_-;-Zp<Rs`kSeMe%la!N_0{|Z%pSi`w
z2bn%D-*Ri}>X6aV2o{UQD<TpX@qMB7-+v?e7O&pwsVy~lxV;Kd_V|F`*tq*DEv*d{
zBT#*S7zM|w{JJ{3;qJslUME*q83aPYZ>UP>%EO8G5q-;Hot>S4shypjex<|gSaaw_
zd3kE`1+%{4;ZvaAkOx*IzP)?LN|ObgoSaUXUk0u|+~v*4$e<8g_yq*md3bo-D3JrJ
z*>~#2;Fh^aD=S__B_&lK2DGTC2m^+Z+OkA_#<h8{7wYygTKv<F&fC>h|EF<rJ5Fh6
zS)5^kJ{rwU!$WXQO-&wEDbDHrvv`PF?4A0|>#vh-N?(DFzHY@}zz7)`8ZOPu7^YnB
zQ1=^Dk(Yl_RaIs9@=wM%HkG9jq`iFm)~&w5!PMN`+`5{Ysr{c{_tr)=8X6lz!R_nn
z>TZFqQ7Dv%l`nG1dXZ4uUZZ5c!HVg@O4nbYc=Tjx*ea)~>FVBCIwy-xms$!FKN_1&
z4+jzTzLe27%YC`Ty}BeNMQG>Sq-C;yK)`D^<wa0Xb>>ac=pwW%sj*RGZEX!AF0OQ$
z0g(HbO%9iW(SpLlA?@*e-3-Rz{D;ilfS%1>Y`x3i;Nbm)kB^SrH6dHSa$=ZRn5l%$
zef(RW-gWEVFrOdOZE+UCBxa{$wfiQR1)o?vS~h<PyQeKaIx@mhq~WFoP9^oCyJKTx
z3oh0=MyfFqe`v~%jgLp+%k9c6yfid4E~~3g50pD<M*g^XRuVBbdleMG<0nqsOE81+
z@9yts+It0M0{K=KyID|THs`Zrw#8@&+8O6L{9&$wOx6dvc_m=vDac12M~L+8OGV!_
z+0RQ!<&VO%q>rHOdG`OGzh{ohkllq@!9_O9CrQlkS~3}{xx%-{m2~~JWNZrum>K?9
cl3wc(a7}a!OLq$;fFB#c^qK{-$`JG9KOWy`DgXcg

literal 0
HcmV?d00001

diff --git a/docs/manual/inherit_graph_2.map b/docs/manual/inherit_graph_2.map
new file mode 100644
index 0000000..6791d6e
--- /dev/null
+++ b/docs/manual/inherit_graph_2.map
@@ -0,0 +1,3 @@
+<map id="Graphical Class Hierarchy" name="Graphical Class Hierarchy">
+<area shape="rect" id="Node000000" href="$classbayesnet_1_1_node.html" title=" " alt="" coords="5,5,119,31"/>
+</map>
diff --git a/docs/manual/inherit_graph_2.md5 b/docs/manual/inherit_graph_2.md5
new file mode 100644
index 0000000..81f8e6e
--- /dev/null
+++ b/docs/manual/inherit_graph_2.md5
@@ -0,0 +1 @@
+75f111cd5e54a47afb7579e7ca08bb41
\ No newline at end of file
diff --git a/docs/manual/inherit_graph_2.png b/docs/manual/inherit_graph_2.png
new file mode 100644
index 0000000000000000000000000000000000000000..9b58930bddb0bf915ff834db73eee358fa311888
GIT binary patch
literal 2036
zcmV<Q2MhR#P)<h;3K|Lk000e1NJLTq004Xd001Ni1^@s6OT%6y00006VoOIv0RI60
z0RN!9r;`8x2dPO!K~#90?V4LiR9_p$pP5t~MDa9DqgG=En%WehSXrnD6_$n_{1m$|
z7&S1A5)BNyFv38KvV@E-vJ|a6BqnGD2FZsdY8GUXna5HyXR=Xi)Oo&(KIh-$G1I?<
z`*-Df*ILhh_I`BUrCUHiKtMo1K;Umg^lL$-QaOo4qOFTzMqqv+`QPi;uXp}jGx>Fq
zNF>@S5{YjAd$t4?kpBR<^K)TB;NxUxXD_%LfrTSBHg?jw_+R!Ru*e93FENC`ml#6e
zOAI0KC590A6622pfA{Vkl9H0<!^>YqLP7$rUcEY@o}ZtO+qdWTXN>&(d=wWK|EaZU
z`QyO5ySs7o=FR!=vZ#1?c%Z7PYS!yBGcyqv7l)@$pBmL4Ja~Xdj~>m*Lv?jEYHDic
zw0E}5>qq*)zyQ8{`7-I;=g*%(^0zfL8V&S%{e-$+uSa)x_mum_#>Sx0XlAY1-`@|N
zPWM~h+}+&~8ykz!(a~wwkwjZt8-|C6C!HS}8k%zNRQEqu<|Xja(NU;WD#&Cq*x1-$
z-@bj&YPA4>%F0T(xw*mB)fF<C3@1*U00103co5Oi(MB3_xg14BMF4>M`g(YJdcwiM
z0d{tFNJ&XCe8Z%sro!3T8LqCbaCCG;b#*m>AMM4;$_iJmT!B<7g`J%pwr}5#fq{W(
zH8*bDh@PGv?A^N;H*VYj0Hmj<BQP+~;P2Nl0Gv5<2EDz#xOnm6l+UKTyc{x_3_d<S
zu(r0wv17+DHZ}$TC@n38TrP*TwKcYE*@BLa4#U3b?tfm1j*bqCiHYHCsjjXj0IF0f
z_Vx9#y1JSQg@P$5DJ02Fn>Mkapn!V4o?TsCw6wHjU0ogT+_^(rTU+XMI+A2%WhJew
ztT;S8%&%X+QZASC^y$+a92{g@TN|C7otd4T&F1E2+Su4oqtQ^O)A8K7bKJUhD@n4s
zxtRbM78XXWR?FJjTFPWH-nw;bT1}E%v0?=)Dk=>3RZ&sFjEsya$0jBwtg5Qw-Me>b
zVPV16)>e{aR8$mIDiukxv$K;DiG*ckWhBY2t}Z$|JM+?|OB@;+qC_HLT3Q-48Vz%D
zatMHliHS3MoeeQDF^rCm4qLFmTUuHSwUZ}L(%ajcV`F1{{rWZadOdr3dRSFeMSFXD
z=H=yaczBprR#t|G9336a!-o%(By)3fX=i6gwOUQBR!gl`%jD!_?%cVPZ{NP9nVA{W
z)6@Ck!w2g1dVc%%%_#8khfk8Bp`ko=>eRHF<ix;dVmxq?3<(M0o;`a=8V8<{kwJw*
zVYDwfIhp?c{=9$xKIL+`(VSALWMX3Cj9zEMRDn<V^5l1LaBzULv$J8WR4Q@%_HBs8
zVw9GaA}cEkVzC$-Hf+GMWy=5n=H})&aNqz63kwk#7>JUR62s}XrKJU0trqLouQ$4m
zr>7^@u3d|qoE%)ZZ~;k4N$~LSKx%3#LPJ9h>y|HHZunXvkwB-@O{@8*WMyT+-QC^L
zj>c(iZH14Ik5NsbP@t%&2oE1Vgs-o!(cJjjh4eZvf%o?IVq|0lrlzI<falMjW7Vov
zsIRX_N=gc9YiprYDggj4E-r?BhYlS=SXdbL@81uJL;`<*e*ixMv$eHFdwV-XB9Y-5
zgM)+k`0*pQZQF+M@Nj(k^a<J7**J3K2zKq-WzZFi|2dlQ|9x*d%|FG-$q8rAo<)3o
zJT`CM3|m`U0D!%{J)S&yVzhSr*;rayqN%CLXs)550RaI43+i>=4sGKHm&V3M6c-mG
zJUkq2ZEdizv4N|rD*&LRqy#N3Ert;M{QO{UZjOY61Vlzg8iLxfV+Yh~HS+TEKoafk
z?Fb4ALP0?R>gwtc5)y*`{(eZMQUnDB&FU08ohAU7nwlC8cK}dRQ-l2c{3*x35*HT-
zCnqP|yLZn}+r4`?UcP*Zva&J&KYkM^FE2-UcsPQCgYoLsD-;$Mf+QY4evJD1`dN9M
zSLV{gSFc{ppr9biWHO4yVn#+rQm4~#WMqVXetwinrBo;sjEIO}OiT>raydIYJ4upB
zNl662H*ek;>E`9-(Za%lD_5?hsi`TWqN4cy`*)6xj?&lHmu6;W^z!nei;D}dUAso|
zpB_Hm(@8QSB7%vDiPLJ5<niOjDUnE+o11Iswd>ZcGwA#}{<(*b)7aQZ6B83d4=2g=
z^mLk-n9#+=g;rKpjE#-u$jAsuGA%8QVzHQVxtwd(tYKti<gC2Th6Ovc{Y+<PCwqE&
zCe+`*e^0eqZ5VfTby2U^lO!)+zRZAtfJybnPud+F9Y%G%UeBhcCN?xQ7<6XKRGK8I
zR;vwR%qMEKn$Mm+V_#q2gt^|{UcPwof}^9OzvXo%7WB|Ij-#XFq;-WtVKjDdaDYam
zK~qx`GBY!A{`~n#_gPq2z{|^PLR};h!OhKWP9CSy1ORJm>p5x8gtfIbyuH0Aos&wX
zkV>VK&Q0fat}NQillJy@#K*_u=+UDH4h~){8%vIP{R#galu9LPYik$l@=F%s_2?2q
z2z-el1ir)&{x5xrF(GiVSlpr4>kI4Z>K4O~z&s)ri#ujsB_JRmARr*{H}F5M@Tq0W
S8KN8j0000<MNUMnLSTZ9zv6@d

literal 0
HcmV?d00001

diff --git a/docs/manual/inherits.html b/docs/manual/inherits.html
new file mode 100644
index 0000000..bc90098
--- /dev/null
+++ b/docs/manual/inherits.html
@@ -0,0 +1,167 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=11"/>
+<meta name="generator" content="Doxygen 1.11.0"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>BayesNet: Class Hierarchy</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="clipboard.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="navtreedata.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="cookie.js"></script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/searchdata.js"></script>
+<script type="text/javascript" src="search/search.js"></script>
+<link href="doxygen.css" rel="stylesheet" type="text/css" />
+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr id="projectrow">
+  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
+  <td id="projectalign">
+   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
+   </div>
+   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
+  </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<!-- Generated by Doxygen 1.11.0 -->
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+var searchBox = new SearchBox("searchBox", "search/",'.html');
+/* @license-end */
+</script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() { codefold.init(0); });
+/* @license-end */
+</script>
+<script type="text/javascript" src="menudata.js"></script>
+<script type="text/javascript" src="menu.js"></script>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function() {
+  initMenu('',true,false,'search.php','Search',true);
+  $(function() { init_search(); });
+});
+/* @license-end */
+</script>
+<div id="main-nav"></div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+  <div id="nav-tree">
+    <div id="nav-tree-contents">
+      <div id="nav-sync" class="sync"></div>
+    </div>
+  </div>
+  <div id="splitbar" style="-moz-user-select:none;" 
+       class="ui-resizable-handle">
+  </div>
+</div>
+<script type="text/javascript">
+/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
+$(function(){initNavTree('hierarchy.html',''); initResizable(true); });
+/* @license-end */
+</script>
+<div id="doc-content">
+<!-- window showing the filter options -->
+<div id="MSearchSelectWindow"
+     onmouseover="return searchBox.OnSearchSelectShow()"
+     onmouseout="return searchBox.OnSearchSelectHide()"
+     onkeydown="return searchBox.OnSearchSelectKey(event)">
+</div>
+
+<!-- iframe showing the search results (closed by default) -->
+<div id="MSearchResultsWindow">
+<div id="MSearchResults">
+<div class="SRPage">
+<div id="SRIndex">
+<div id="SRResults"></div>
+<div class="SRStatus" id="Loading">Loading...</div>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+</div>
+</div>
+</div>
+</div>
+
+<div class="header">
+  <div class="headertitle"><div class="title">Class Hierarchy</div></div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock">
+<p><a href="hierarchy.html">Go to the textual class hierarchy</a></p>
+</div><table border="0" cellspacing="10" cellpadding="0">
+<tr><td><img src="inherit_graph_0.png" border="0" usemap="#abayesnet_1_1_base_classifier" alt=""/>
+<map name="abayesnet_1_1_base_classifier" id="abayesnet_1_1_base_classifier">
+<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,177,173,203"/>
+<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,177,358,203"/>
+<area shape="poly" title=" " alt="" coords="188,188,220,188,220,193,188,193"/>
+<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,128,546,154"/>
+<area shape="poly" title=" " alt="" coords="355,170,424,152,425,157,356,175"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,177,531,203"/>
+<area shape="poly" title=" " alt="" coords="373,188,421,188,421,193,373,193"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,276,541,302"/>
+<area shape="poly" title=" " alt="" coords="322,210,362,237,407,262,432,273,430,278,405,267,359,241,319,214"/>
+<area shape="rect" href="classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,79,539,104"/>
+<area shape="poly" title=" " alt="" coords="319,166,359,139,405,113,430,102,432,107,407,118,362,144,322,170"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,325,530,351"/>
+<area shape="poly" title=" " alt="" coords="310,214,352,263,378,289,407,312,428,322,426,327,405,316,375,293,348,267,306,217"/>
+<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,79,725,104"/>
+<area shape="poly" title=" " alt="" coords="543,121,613,102,614,108,544,126"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,128,726,154"/>
+<area shape="poly" title=" " alt="" coords="562,138,606,138,606,144,562,144"/>
+<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,177,733,203"/>
+<area shape="poly" title=" " alt="" coords="544,156,614,174,613,179,543,161"/>
+<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="608,29,724,55"/>
+<area shape="poly" title=" " alt="" coords="538,119,545,115,559,102,568,90,578,77,593,64,614,53,616,58,596,68,581,81,572,93,563,106,548,119,540,124"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,5,939,31"/>
+<area shape="poly" title=" " alt="" coords="739,31,786,25,787,30,740,36"/>
+<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,55,940,80"/>
+<area shape="poly" title=" " alt="" coords="740,49,786,55,785,60,739,54"/>
+<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,227,728,252"/>
+<area shape="poly" title=" " alt="" coords="544,205,614,223,613,229,543,210"/>
+<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,276,738,302"/>
+<area shape="poly" title=" " alt="" coords="556,286,594,286,594,292,556,292"/>
+<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,325,727,351"/>
+<area shape="poly" title=" " alt="" coords="546,336,604,336,604,341,546,341"/>
+<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="410,227,543,252"/>
+<area shape="poly" title=" " alt="" coords="543,220,613,201,614,206,544,225"/>
+<area shape="poly" title=" " alt="" coords="558,237,604,237,604,242,558,242"/>
+<area shape="poly" title=" " alt="" coords="544,254,614,273,613,278,543,259"/>
+<area shape="poly" title=" " alt="" coords="540,257,548,261,563,274,572,287,581,300,596,312,616,322,614,327,593,316,578,303,568,290,559,278,545,266,538,261"/>
+</map>
+</td></tr>
+<tr><td><img src="inherit_graph_1.png" border="0" usemap="#abayesnet_1_1_network" alt=""/>
+<map name="abayesnet_1_1_network" id="abayesnet_1_1_network">
+<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="5,5,137,31"/>
+</map>
+</td></tr>
+<tr><td><img src="inherit_graph_2.png" border="0" usemap="#abayesnet_1_1_node" alt=""/>
+<map name="abayesnet_1_1_node" id="abayesnet_1_1_node">
+<area shape="rect" href="classbayesnet_1_1_node.html" title=" " alt="" coords="5,5,119,31"/>
+</map>
+</td></tr>
+</table>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+  <ul>
+    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
+  </ul>
+</div>
+</body>
+</html>
diff --git a/docs/manual/jquery.js b/docs/manual/jquery.js
new file mode 100644
index 0000000..1dffb65
--- /dev/null
+++ b/docs/manual/jquery.js
@@ -0,0 +1,34 @@
+/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
+/*! jQuery UI - v1.13.2 - 2022-08-01
+* http://jqueryui.com
+* Includes: widget.js, position.js, data.js, disable-selection.js, focusable.js, form-reset-mixin.js, jquery-patch.js, keycode.js, labels.js, scroll-parent.js, tabbable.js, unique-id.js, widgets/resizable.js, widgets/mouse.js
+* Copyright jQuery Foundation and other contributors; Licensed MIT */
+
+!function(t){"use strict";"function"==typeof define&&define.amd?define(["jquery"],t):t(jQuery)}(function(y){"use strict";y.ui=y.ui||{};y.ui.version="1.13.2";var n,i=0,h=Array.prototype.hasOwnProperty,a=Array.prototype.slice;y.cleanData=(n=y.cleanData,function(t){for(var e,i,s=0;null!=(i=t[s]);s++)(e=y._data(i,"events"))&&e.remove&&y(i).triggerHandler("remove");n(t)}),y.widget=function(t,i,e){var s,n,o,h={},a=t.split(".")[0],r=a+"-"+(t=t.split(".")[1]);return e||(e=i,i=y.Widget),Array.isArray(e)&&(e=y.extend.apply(null,[{}].concat(e))),y.expr.pseudos[r.toLowerCase()]=function(t){return!!y.data(t,r)},y[a]=y[a]||{},s=y[a][t],n=y[a][t]=function(t,e){if(!this||!this._createWidget)return new n(t,e);arguments.length&&this._createWidget(t,e)},y.extend(n,s,{version:e.version,_proto:y.extend({},e),_childConstructors:[]}),(o=new i).options=y.widget.extend({},o.options),y.each(e,function(e,s){function n(){return i.prototype[e].apply(this,arguments)}function o(t){return i.prototype[e].apply(this,t)}h[e]="function"==typeof s?function(){var t,e=this._super,i=this._superApply;return this._super=n,this._superApply=o,t=s.apply(this,arguments),this._super=e,this._superApply=i,t}:s}),n.prototype=y.widget.extend(o,{widgetEventPrefix:s&&o.widgetEventPrefix||t},h,{constructor:n,namespace:a,widgetName:t,widgetFullName:r}),s?(y.each(s._childConstructors,function(t,e){var i=e.prototype;y.widget(i.namespace+"."+i.widgetName,n,e._proto)}),delete s._childConstructors):i._childConstructors.push(n),y.widget.bridge(t,n),n},y.widget.extend=function(t){for(var e,i,s=a.call(arguments,1),n=0,o=s.length;n<o;n++)for(e in s[n])i=s[n][e],h.call(s[n],e)&&void 0!==i&&(y.isPlainObject(i)?t[e]=y.isPlainObject(t[e])?y.widget.extend({},t[e],i):y.widget.extend({},i):t[e]=i);return t},y.widget.bridge=function(o,e){var h=e.prototype.widgetFullName||o;y.fn[o]=function(i){var t="string"==typeof i,s=a.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t,e=y.data(this,h);return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?y.error("no such method '"+i+"' for "+o+" widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:y.error("cannot call methods on "+o+" prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=y.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=y.data(this,h);t?(t.option(i||{}),t._init&&t._init()):y.data(this,h,new e(i,this))})),n}},y.Widget=function(){},y.Widget._childConstructors=[],y.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{classes:{},disabled:!1,create:null},_createWidget:function(t,e){e=y(e||this.defaultElement||this)[0],this.element=y(e),this.uuid=i++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=y(),this.hoverable=y(),this.focusable=y(),this.classesElementLookup={},e!==this&&(y.data(e,this.widgetFullName,this),this._on(!0,this.element,{remove:function(t){t.target===e&&this.destroy()}}),this.document=y(e.style?e.ownerDocument:e.document||e),this.window=y(this.document[0].defaultView||this.document[0].parentWindow)),this.options=y.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this.options.disabled&&this._setOptionDisabled(this.options.disabled),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:function(){return{}},_getCreateEventData:y.noop,_create:y.noop,_init:y.noop,destroy:function(){var i=this;this._destroy(),y.each(this.classesElementLookup,function(t,e){i._removeClass(e,t)}),this.element.off(this.eventNamespace).removeData(this.widgetFullName),this.widget().off(this.eventNamespace).removeAttr("aria-disabled"),this.bindings.off(this.eventNamespace)},_destroy:y.noop,widget:function(){return this.element},option:function(t,e){var i,s,n,o=t;if(0===arguments.length)return y.widget.extend({},this.options);if("string"==typeof t)if(o={},t=(i=t.split(".")).shift(),i.length){for(s=o[t]=y.widget.extend({},this.options[t]),n=0;n<i.length-1;n++)s[i[n]]=s[i[n]]||{},s=s[i[n]];if(t=i.pop(),1===arguments.length)return void 0===s[t]?null:s[t];s[t]=e}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=e}return this._setOptions(o),this},_setOptions:function(t){for(var e in t)this._setOption(e,t[e]);return this},_setOption:function(t,e){return"classes"===t&&this._setOptionClasses(e),this.options[t]=e,"disabled"===t&&this._setOptionDisabled(e),this},_setOptionClasses:function(t){var e,i,s;for(e in t)s=this.classesElementLookup[e],t[e]!==this.options.classes[e]&&s&&s.length&&(i=y(s.get()),this._removeClass(s,e),i.addClass(this._classes({element:i,keys:e,classes:t,add:!0})))},_setOptionDisabled:function(t){this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!!t),t&&(this._removeClass(this.hoverable,null,"ui-state-hover"),this._removeClass(this.focusable,null,"ui-state-focus"))},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_classes:function(n){var o=[],h=this;function t(t,e){for(var i,s=0;s<t.length;s++)i=h.classesElementLookup[t[s]]||y(),i=n.add?(function(){var i=[];n.element.each(function(t,e){y.map(h.classesElementLookup,function(t){return t}).some(function(t){return t.is(e)})||i.push(e)}),h._on(y(i),{remove:"_untrackClassesElement"})}(),y(y.uniqueSort(i.get().concat(n.element.get())))):y(i.not(n.element).get()),h.classesElementLookup[t[s]]=i,o.push(t[s]),e&&n.classes[t[s]]&&o.push(n.classes[t[s]])}return(n=y.extend({element:this.element,classes:this.options.classes||{}},n)).keys&&t(n.keys.match(/\S+/g)||[],!0),n.extra&&t(n.extra.match(/\S+/g)||[]),o.join(" ")},_untrackClassesElement:function(i){var s=this;y.each(s.classesElementLookup,function(t,e){-1!==y.inArray(i.target,e)&&(s.classesElementLookup[t]=y(e.not(i.target).get()))}),this._off(y(i.target))},_removeClass:function(t,e,i){return this._toggleClass(t,e,i,!1)},_addClass:function(t,e,i){return this._toggleClass(t,e,i,!0)},_toggleClass:function(t,e,i,s){var n="string"==typeof t||null===t,i={extra:n?e:i,keys:n?t:e,element:n?this.element:t,add:s="boolean"==typeof s?s:i};return i.element.toggleClass(this._classes(i),s),this},_on:function(n,o,t){var h,a=this;"boolean"!=typeof n&&(t=o,o=n,n=!1),t?(o=h=y(o),this.bindings=this.bindings.add(o)):(t=o,o=this.element,h=this.widget()),y.each(t,function(t,e){function i(){if(n||!0!==a.options.disabled&&!y(this).hasClass("ui-state-disabled"))return("string"==typeof e?a[e]:e).apply(a,arguments)}"string"!=typeof e&&(i.guid=e.guid=e.guid||i.guid||y.guid++);var s=t.match(/^([\w:-]*)\s*(.*)$/),t=s[1]+a.eventNamespace,s=s[2];s?h.on(t,s,i):o.on(t,i)})},_off:function(t,e){e=(e||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.off(e),this.bindings=y(this.bindings.not(t).get()),this.focusable=y(this.focusable.not(t).get()),this.hoverable=y(this.hoverable.not(t).get())},_delay:function(t,e){var i=this;return setTimeout(function(){return("string"==typeof t?i[t]:t).apply(i,arguments)},e||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){this._addClass(y(t.currentTarget),null,"ui-state-hover")},mouseleave:function(t){this._removeClass(y(t.currentTarget),null,"ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){this._addClass(y(t.currentTarget),null,"ui-state-focus")},focusout:function(t){this._removeClass(y(t.currentTarget),null,"ui-state-focus")}})},_trigger:function(t,e,i){var s,n,o=this.options[t];if(i=i||{},(e=y.Event(e)).type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),e.target=this.element[0],n=e.originalEvent)for(s in n)s in e||(e[s]=n[s]);return this.element.trigger(e,i),!("function"==typeof o&&!1===o.apply(this.element[0],[e].concat(i))||e.isDefaultPrevented())}},y.each({show:"fadeIn",hide:"fadeOut"},function(o,h){y.Widget.prototype["_"+o]=function(e,t,i){var s,n=(t="string"==typeof t?{effect:t}:t)?!0!==t&&"number"!=typeof t&&t.effect||h:o;"number"==typeof(t=t||{})?t={duration:t}:!0===t&&(t={}),s=!y.isEmptyObject(t),t.complete=i,t.delay&&e.delay(t.delay),s&&y.effects&&y.effects.effect[n]?e[o](t):n!==o&&e[n]?e[n](t.duration,t.easing,i):e.queue(function(t){y(this)[o](),i&&i.call(e[0]),t()})}});var s,x,D,o,r,l,u,p,W;y.widget;function E(t,e,i){return[parseFloat(t[0])*(p.test(t[0])?e/100:1),parseFloat(t[1])*(p.test(t[1])?i/100:1)]}function H(t,e){return parseInt(y.css(t,e),10)||0}function S(t){return null!=t&&t===t.window}x=Math.max,D=Math.abs,o=/left|center|right/,r=/top|center|bottom/,l=/[\+\-]\d+(\.[\d]+)?%?/,u=/^\w+/,p=/%$/,W=y.fn.position,y.position={scrollbarWidth:function(){if(void 0!==s)return s;var t,e=y("<div style='display:block;position:absolute;width:200px;height:200px;overflow:hidden;'><div style='height:300px;width:auto;'></div></div>"),i=e.children()[0];return y("body").append(e),t=i.offsetWidth,e.css("overflow","scroll"),t===(i=i.offsetWidth)&&(i=e[0].clientWidth),e.remove(),s=t-i},getScrollInfo:function(t){var e=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),i=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),e="scroll"===e||"auto"===e&&t.width<t.element[0].scrollWidth;return{width:"scroll"===i||"auto"===i&&t.height<t.element[0].scrollHeight?y.position.scrollbarWidth():0,height:e?y.position.scrollbarWidth():0}},getWithinInfo:function(t){var e=y(t||window),i=S(e[0]),s=!!e[0]&&9===e[0].nodeType;return{element:e,isWindow:i,isDocument:s,offset:!i&&!s?y(t).offset():{left:0,top:0},scrollLeft:e.scrollLeft(),scrollTop:e.scrollTop(),width:e.outerWidth(),height:e.outerHeight()}}},y.fn.position=function(p){if(!p||!p.of)return W.apply(this,arguments);var d,c,f,g,m,t,_="string"==typeof(p=y.extend({},p)).of?y(document).find(p.of):y(p.of),w=y.position.getWithinInfo(p.within),v=y.position.getScrollInfo(w),b=(p.collision||"flip").split(" "),z={},e=9===(t=(e=_)[0]).nodeType?{width:e.width(),height:e.height(),offset:{top:0,left:0}}:S(t)?{width:e.width(),height:e.height(),offset:{top:e.scrollTop(),left:e.scrollLeft()}}:t.preventDefault?{width:0,height:0,offset:{top:t.pageY,left:t.pageX}}:{width:e.outerWidth(),height:e.outerHeight(),offset:e.offset()};return _[0].preventDefault&&(p.at="left top"),c=e.width,f=e.height,m=y.extend({},g=e.offset),y.each(["my","at"],function(){var t,e,i=(p[this]||"").split(" ");(i=1===i.length?o.test(i[0])?i.concat(["center"]):r.test(i[0])?["center"].concat(i):["center","center"]:i)[0]=o.test(i[0])?i[0]:"center",i[1]=r.test(i[1])?i[1]:"center",t=l.exec(i[0]),e=l.exec(i[1]),z[this]=[t?t[0]:0,e?e[0]:0],p[this]=[u.exec(i[0])[0],u.exec(i[1])[0]]}),1===b.length&&(b[1]=b[0]),"right"===p.at[0]?m.left+=c:"center"===p.at[0]&&(m.left+=c/2),"bottom"===p.at[1]?m.top+=f:"center"===p.at[1]&&(m.top+=f/2),d=E(z.at,c,f),m.left+=d[0],m.top+=d[1],this.each(function(){var i,t,h=y(this),a=h.outerWidth(),r=h.outerHeight(),e=H(this,"marginLeft"),s=H(this,"marginTop"),n=a+e+H(this,"marginRight")+v.width,o=r+s+H(this,"marginBottom")+v.height,l=y.extend({},m),u=E(z.my,h.outerWidth(),h.outerHeight());"right"===p.my[0]?l.left-=a:"center"===p.my[0]&&(l.left-=a/2),"bottom"===p.my[1]?l.top-=r:"center"===p.my[1]&&(l.top-=r/2),l.left+=u[0],l.top+=u[1],i={marginLeft:e,marginTop:s},y.each(["left","top"],function(t,e){y.ui.position[b[t]]&&y.ui.position[b[t]][e](l,{targetWidth:c,targetHeight:f,elemWidth:a,elemHeight:r,collisionPosition:i,collisionWidth:n,collisionHeight:o,offset:[d[0]+u[0],d[1]+u[1]],my:p.my,at:p.at,within:w,elem:h})}),p.using&&(t=function(t){var e=g.left-l.left,i=e+c-a,s=g.top-l.top,n=s+f-r,o={target:{element:_,left:g.left,top:g.top,width:c,height:f},element:{element:h,left:l.left,top:l.top,width:a,height:r},horizontal:i<0?"left":0<e?"right":"center",vertical:n<0?"top":0<s?"bottom":"middle"};c<a&&D(e+i)<c&&(o.horizontal="center"),f<r&&D(s+n)<f&&(o.vertical="middle"),x(D(e),D(i))>x(D(s),D(n))?o.important="horizontal":o.important="vertical",p.using.call(this,t,o)}),h.offset(y.extend(l,{using:t}))})},y.ui.position={fit:{left:function(t,e){var i=e.within,s=i.isWindow?i.scrollLeft:i.offset.left,n=i.width,o=t.left-e.collisionPosition.marginLeft,h=s-o,a=o+e.collisionWidth-n-s;e.collisionWidth>n?0<h&&a<=0?(i=t.left+h+e.collisionWidth-n-s,t.left+=h-i):t.left=!(0<a&&h<=0)&&a<h?s+n-e.collisionWidth:s:0<h?t.left+=h:0<a?t.left-=a:t.left=x(t.left-o,t.left)},top:function(t,e){var i=e.within,s=i.isWindow?i.scrollTop:i.offset.top,n=e.within.height,o=t.top-e.collisionPosition.marginTop,h=s-o,a=o+e.collisionHeight-n-s;e.collisionHeight>n?0<h&&a<=0?(i=t.top+h+e.collisionHeight-n-s,t.top+=h-i):t.top=!(0<a&&h<=0)&&a<h?s+n-e.collisionHeight:s:0<h?t.top+=h:0<a?t.top-=a:t.top=x(t.top-o,t.top)}},flip:{left:function(t,e){var i=e.within,s=i.offset.left+i.scrollLeft,n=i.width,o=i.isWindow?i.scrollLeft:i.offset.left,h=t.left-e.collisionPosition.marginLeft,a=h-o,r=h+e.collisionWidth-n-o,l="left"===e.my[0]?-e.elemWidth:"right"===e.my[0]?e.elemWidth:0,i="left"===e.at[0]?e.targetWidth:"right"===e.at[0]?-e.targetWidth:0,h=-2*e.offset[0];a<0?((s=t.left+l+i+h+e.collisionWidth-n-s)<0||s<D(a))&&(t.left+=l+i+h):0<r&&(0<(o=t.left-e.collisionPosition.marginLeft+l+i+h-o)||D(o)<r)&&(t.left+=l+i+h)},top:function(t,e){var i=e.within,s=i.offset.top+i.scrollTop,n=i.height,o=i.isWindow?i.scrollTop:i.offset.top,h=t.top-e.collisionPosition.marginTop,a=h-o,r=h+e.collisionHeight-n-o,l="top"===e.my[1]?-e.elemHeight:"bottom"===e.my[1]?e.elemHeight:0,i="top"===e.at[1]?e.targetHeight:"bottom"===e.at[1]?-e.targetHeight:0,h=-2*e.offset[1];a<0?((s=t.top+l+i+h+e.collisionHeight-n-s)<0||s<D(a))&&(t.top+=l+i+h):0<r&&(0<(o=t.top-e.collisionPosition.marginTop+l+i+h-o)||D(o)<r)&&(t.top+=l+i+h)}},flipfit:{left:function(){y.ui.position.flip.left.apply(this,arguments),y.ui.position.fit.left.apply(this,arguments)},top:function(){y.ui.position.flip.top.apply(this,arguments),y.ui.position.fit.top.apply(this,arguments)}}};var t;y.ui.position,y.extend(y.expr.pseudos,{data:y.expr.createPseudo?y.expr.createPseudo(function(e){return function(t){return!!y.data(t,e)}}):function(t,e,i){return!!y.data(t,i[3])}}),y.fn.extend({disableSelection:(t="onselectstart"in document.createElement("div")?"selectstart":"mousedown",function(){return this.on(t+".ui-disableSelection",function(t){t.preventDefault()})}),enableSelection:function(){return this.off(".ui-disableSelection")}});y.ui.focusable=function(t,e){var i,s,n,o,h=t.nodeName.toLowerCase();return"area"===h?(s=(i=t.parentNode).name,!(!t.href||!s||"map"!==i.nodeName.toLowerCase())&&(0<(s=y("img[usemap='#"+s+"']")).length&&s.is(":visible"))):(/^(input|select|textarea|button|object)$/.test(h)?(n=!t.disabled)&&(o=y(t).closest("fieldset")[0])&&(n=!o.disabled):n="a"===h&&t.href||e,n&&y(t).is(":visible")&&function(t){var e=t.css("visibility");for(;"inherit"===e;)t=t.parent(),e=t.css("visibility");return"visible"===e}(y(t)))},y.extend(y.expr.pseudos,{focusable:function(t){return y.ui.focusable(t,null!=y.attr(t,"tabindex"))}});var e,d;y.ui.focusable,y.fn._form=function(){return"string"==typeof this[0].form?this.closest("form"):y(this[0].form)},y.ui.formResetMixin={_formResetHandler:function(){var e=y(this);setTimeout(function(){var t=e.data("ui-form-reset-instances");y.each(t,function(){this.refresh()})})},_bindFormResetHandler:function(){var t;this.form=this.element._form(),this.form.length&&((t=this.form.data("ui-form-reset-instances")||[]).length||this.form.on("reset.ui-form-reset",this._formResetHandler),t.push(this),this.form.data("ui-form-reset-instances",t))},_unbindFormResetHandler:function(){var t;this.form.length&&((t=this.form.data("ui-form-reset-instances")).splice(y.inArray(this,t),1),t.length?this.form.data("ui-form-reset-instances",t):this.form.removeData("ui-form-reset-instances").off("reset.ui-form-reset"))}};y.expr.pseudos||(y.expr.pseudos=y.expr[":"]),y.uniqueSort||(y.uniqueSort=y.unique),y.escapeSelector||(e=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\x80-\uFFFF\w-]/g,d=function(t,e){return e?"\0"===t?"�":t.slice(0,-1)+"\\"+t.charCodeAt(t.length-1).toString(16)+" ":"\\"+t},y.escapeSelector=function(t){return(t+"").replace(e,d)}),y.fn.even&&y.fn.odd||y.fn.extend({even:function(){return this.filter(function(t){return t%2==0})},odd:function(){return this.filter(function(t){return t%2==1})}});y.ui.keyCode={BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38},y.fn.labels=function(){var t,e,i;return this.length?this[0].labels&&this[0].labels.length?this.pushStack(this[0].labels):(e=this.eq(0).parents("label"),(t=this.attr("id"))&&(i=(i=this.eq(0).parents().last()).add((i.length?i:this).siblings()),t="label[for='"+y.escapeSelector(t)+"']",e=e.add(i.find(t).addBack(t))),this.pushStack(e)):this.pushStack([])},y.fn.scrollParent=function(t){var e=this.css("position"),i="absolute"===e,s=t?/(auto|scroll|hidden)/:/(auto|scroll)/,t=this.parents().filter(function(){var t=y(this);return(!i||"static"!==t.css("position"))&&s.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==e&&t.length?t:y(this[0].ownerDocument||document)},y.extend(y.expr.pseudos,{tabbable:function(t){var e=y.attr(t,"tabindex"),i=null!=e;return(!i||0<=e)&&y.ui.focusable(t,i)}}),y.fn.extend({uniqueId:(c=0,function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++c)})}),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&y(this).removeAttr("id")})}}),y.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase());var c,f=!1;y(document).on("mouseup",function(){f=!1});y.widget("ui.mouse",{version:"1.13.2",options:{cancel:"input, textarea, button, select, option",distance:1,delay:0},_mouseInit:function(){var e=this;this.element.on("mousedown."+this.widgetName,function(t){return e._mouseDown(t)}).on("click."+this.widgetName,function(t){if(!0===y.data(t.target,e.widgetName+".preventClickEvent"))return y.removeData(t.target,e.widgetName+".preventClickEvent"),t.stopImmediatePropagation(),!1}),this.started=!1},_mouseDestroy:function(){this.element.off("."+this.widgetName),this._mouseMoveDelegate&&this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!f){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var e=this,i=1===t.which,s=!("string"!=typeof this.options.cancel||!t.target.nodeName)&&y(t.target).closest(this.options.cancel).length;return i&&!s&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){e.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(t),!this._mouseStarted)?(t.preventDefault(),!0):(!0===y.data(t.target,this.widgetName+".preventClickEvent")&&y.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(t){return e._mouseMove(t)},this._mouseUpDelegate=function(t){return e._mouseUp(t)},this.document.on("mousemove."+this.widgetName,this._mouseMoveDelegate).on("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),f=!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(y.ui.ie&&(!document.documentMode||document.documentMode<9)&&!t.button)return this._mouseUp(t);if(!t.which)if(t.originalEvent.altKey||t.originalEvent.ctrlKey||t.originalEvent.metaKey||t.originalEvent.shiftKey)this.ignoreMissingWhich=!0;else if(!this.ignoreMissingWhich)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(this._mouseDownEvent,t),this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&y.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),this._mouseDelayTimer&&(clearTimeout(this._mouseDelayTimer),delete this._mouseDelayTimer),this.ignoreMissingWhich=!1,f=!1,t.preventDefault()},_mouseDistanceMet:function(t){return Math.max(Math.abs(this._mouseDownEvent.pageX-t.pageX),Math.abs(this._mouseDownEvent.pageY-t.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),y.ui.plugin={add:function(t,e,i){var s,n=y.ui[t].prototype;for(s in i)n.plugins[s]=n.plugins[s]||[],n.plugins[s].push([e,i[s]])},call:function(t,e,i,s){var n,o=t.plugins[e];if(o&&(s||t.element[0].parentNode&&11!==t.element[0].parentNode.nodeType))for(n=0;n<o.length;n++)t.options[o[n][0]]&&o[n][1].apply(t.element,i)}};y.widget("ui.resizable",y.ui.mouse,{version:"1.13.2",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,classes:{"ui-resizable-se":"ui-icon ui-icon-gripsmall-diagonal-se"},containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(t){return parseFloat(t)||0},_isNumber:function(t){return!isNaN(parseFloat(t))},_hasScroll:function(t,e){if("hidden"===y(t).css("overflow"))return!1;var i=e&&"left"===e?"scrollLeft":"scrollTop",e=!1;if(0<t[i])return!0;try{t[i]=1,e=0<t[i],t[i]=0}catch(t){}return e},_create:function(){var t,e=this.options,i=this;this._addClass("ui-resizable"),y.extend(this,{_aspectRatio:!!e.aspectRatio,aspectRatio:e.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:e.helper||e.ghost||e.animate?e.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(y("<div class='ui-wrapper'></div>").css({overflow:"hidden",position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,t={marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom"),marginLeft:this.originalElement.css("marginLeft")},this.element.css(t),this.originalElement.css("margin",0),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css(t),this._proportionallyResize()),this._setupHandles(),e.autoHide&&y(this.element).on("mouseenter",function(){e.disabled||(i._removeClass("ui-resizable-autohide"),i._handles.show())}).on("mouseleave",function(){e.disabled||i.resizing||(i._addClass("ui-resizable-autohide"),i._handles.hide())}),this._mouseInit()},_destroy:function(){this._mouseDestroy(),this._addedHandles.remove();function t(t){y(t).removeData("resizable").removeData("ui-resizable").off(".resizable")}var e;return this.elementIsWrapper&&(t(this.element),e=this.element,this.originalElement.css({position:e.css("position"),width:e.outerWidth(),height:e.outerHeight(),top:e.css("top"),left:e.css("left")}).insertAfter(e),e.remove()),this.originalElement.css("resize",this.originalResizeStyle),t(this.originalElement),this},_setOption:function(t,e){switch(this._super(t,e),t){case"handles":this._removeHandles(),this._setupHandles();break;case"aspectRatio":this._aspectRatio=!!e}},_setupHandles:function(){var t,e,i,s,n,o=this.options,h=this;if(this.handles=o.handles||(y(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=y(),this._addedHandles=y(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),i=this.handles.split(","),this.handles={},e=0;e<i.length;e++)s="ui-resizable-"+(t=String.prototype.trim.call(i[e])),n=y("<div>"),this._addClass(n,"ui-resizable-handle "+s),n.css({zIndex:o.zIndex}),this.handles[t]=".ui-resizable-"+t,this.element.children(this.handles[t]).length||(this.element.append(n),this._addedHandles=this._addedHandles.add(n));this._renderAxis=function(t){var e,i,s;for(e in t=t||this.element,this.handles)this.handles[e].constructor===String?this.handles[e]=this.element.children(this.handles[e]).first().show():(this.handles[e].jquery||this.handles[e].nodeType)&&(this.handles[e]=y(this.handles[e]),this._on(this.handles[e],{mousedown:h._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(i=y(this.handles[e],this.element),s=/sw|ne|nw|se|n|s/.test(e)?i.outerHeight():i.outerWidth(),i=["padding",/ne|nw|n/.test(e)?"Top":/se|sw|s/.test(e)?"Bottom":/^e$/.test(e)?"Right":"Left"].join(""),t.css(i,s),this._proportionallyResize()),this._handles=this._handles.add(this.handles[e])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.on("mouseover",function(){h.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),h.axis=n&&n[1]?n[1]:"se")}),o.autoHide&&(this._handles.hide(),this._addClass("ui-resizable-autohide"))},_removeHandles:function(){this._addedHandles.remove()},_mouseCapture:function(t){var e,i,s=!1;for(e in this.handles)(i=y(this.handles[e])[0])!==t.target&&!y.contains(i,t.target)||(s=!0);return!this.options.disabled&&s},_mouseStart:function(t){var e,i,s=this.options,n=this.element;return this.resizing=!0,this._renderProxy(),e=this._num(this.helper.css("left")),i=this._num(this.helper.css("top")),s.containment&&(e+=y(s.containment).scrollLeft()||0,i+=y(s.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:e,top:i},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:n.width(),height:n.height()},this.originalSize=this._helper?{width:n.outerWidth(),height:n.outerHeight()}:{width:n.width(),height:n.height()},this.sizeDiff={width:n.outerWidth()-n.width(),height:n.outerHeight()-n.height()},this.originalPosition={left:e,top:i},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof s.aspectRatio?s.aspectRatio:this.originalSize.width/this.originalSize.height||1,s=y(".ui-resizable-"+this.axis).css("cursor"),y("body").css("cursor","auto"===s?this.axis+"-resize":s),this._addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var e=this.originalMousePosition,i=this.axis,s=t.pageX-e.left||0,e=t.pageY-e.top||0,i=this._change[i];return this._updatePrevProperties(),i&&(e=i.apply(this,[t,s,e]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(e=this._updateRatio(e,t)),e=this._respectSize(e,t),this._updateCache(e),this._propagate("resize",t),e=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),y.isEmptyObject(e)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges())),!1},_mouseStop:function(t){this.resizing=!1;var e,i,s,n=this.options,o=this;return this._helper&&(s=(e=(i=this._proportionallyResizeElements).length&&/textarea/i.test(i[0].nodeName))&&this._hasScroll(i[0],"left")?0:o.sizeDiff.height,i=e?0:o.sizeDiff.width,e={width:o.helper.width()-i,height:o.helper.height()-s},i=parseFloat(o.element.css("left"))+(o.position.left-o.originalPosition.left)||null,s=parseFloat(o.element.css("top"))+(o.position.top-o.originalPosition.top)||null,n.animate||this.element.css(y.extend(e,{top:s,left:i})),o.helper.height(o.size.height),o.helper.width(o.size.width),this._helper&&!n.animate&&this._proportionallyResize()),y("body").css("cursor","auto"),this._removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var t={};return this.position.top!==this.prevPosition.top&&(t.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(t.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(t.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(t.height=this.size.height+"px"),this.helper.css(t),t},_updateVirtualBoundaries:function(t){var e,i,s=this.options,n={minWidth:this._isNumber(s.minWidth)?s.minWidth:0,maxWidth:this._isNumber(s.maxWidth)?s.maxWidth:1/0,minHeight:this._isNumber(s.minHeight)?s.minHeight:0,maxHeight:this._isNumber(s.maxHeight)?s.maxHeight:1/0};(this._aspectRatio||t)&&(e=n.minHeight*this.aspectRatio,i=n.minWidth/this.aspectRatio,s=n.maxHeight*this.aspectRatio,t=n.maxWidth/this.aspectRatio,e>n.minWidth&&(n.minWidth=e),i>n.minHeight&&(n.minHeight=i),s<n.maxWidth&&(n.maxWidth=s),t<n.maxHeight&&(n.maxHeight=t)),this._vBoundaries=n},_updateCache:function(t){this.offset=this.helper.offset(),this._isNumber(t.left)&&(this.position.left=t.left),this._isNumber(t.top)&&(this.position.top=t.top),this._isNumber(t.height)&&(this.size.height=t.height),this._isNumber(t.width)&&(this.size.width=t.width)},_updateRatio:function(t){var e=this.position,i=this.size,s=this.axis;return this._isNumber(t.height)?t.width=t.height*this.aspectRatio:this._isNumber(t.width)&&(t.height=t.width/this.aspectRatio),"sw"===s&&(t.left=e.left+(i.width-t.width),t.top=null),"nw"===s&&(t.top=e.top+(i.height-t.height),t.left=e.left+(i.width-t.width)),t},_respectSize:function(t){var e=this._vBoundaries,i=this.axis,s=this._isNumber(t.width)&&e.maxWidth&&e.maxWidth<t.width,n=this._isNumber(t.height)&&e.maxHeight&&e.maxHeight<t.height,o=this._isNumber(t.width)&&e.minWidth&&e.minWidth>t.width,h=this._isNumber(t.height)&&e.minHeight&&e.minHeight>t.height,a=this.originalPosition.left+this.originalSize.width,r=this.originalPosition.top+this.originalSize.height,l=/sw|nw|w/.test(i),i=/nw|ne|n/.test(i);return o&&(t.width=e.minWidth),h&&(t.height=e.minHeight),s&&(t.width=e.maxWidth),n&&(t.height=e.maxHeight),o&&l&&(t.left=a-e.minWidth),s&&l&&(t.left=a-e.maxWidth),h&&i&&(t.top=r-e.minHeight),n&&i&&(t.top=r-e.maxHeight),t.width||t.height||t.left||!t.top?t.width||t.height||t.top||!t.left||(t.left=null):t.top=null,t},_getPaddingPlusBorderDimensions:function(t){for(var e=0,i=[],s=[t.css("borderTopWidth"),t.css("borderRightWidth"),t.css("borderBottomWidth"),t.css("borderLeftWidth")],n=[t.css("paddingTop"),t.css("paddingRight"),t.css("paddingBottom"),t.css("paddingLeft")];e<4;e++)i[e]=parseFloat(s[e])||0,i[e]+=parseFloat(n[e])||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var t,e=0,i=this.helper||this.element;e<this._proportionallyResizeElements.length;e++)t=this._proportionallyResizeElements[e],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(t)),t.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,e=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||y("<div></div>").css({overflow:"hidden"}),this._addClass(this.helper,this._helper),this.helper.css({width:this.element.outerWidth(),height:this.element.outerHeight(),position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++e.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(t,e){return{width:this.originalSize.width+e}},w:function(t,e){var i=this.originalSize;return{left:this.originalPosition.left+e,width:i.width-e}},n:function(t,e,i){var s=this.originalSize;return{top:this.originalPosition.top+i,height:s.height-i}},s:function(t,e,i){return{height:this.originalSize.height+i}},se:function(t,e,i){return y.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},sw:function(t,e,i){return y.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,e,i]))},ne:function(t,e,i){return y.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},nw:function(t,e,i){return y.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,e,i]))}},_propagate:function(t,e){y.ui.plugin.call(this,t,[e,this.ui()]),"resize"!==t&&this._trigger(t,e,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),y.ui.plugin.add("resizable","animate",{stop:function(e){var i=y(this).resizable("instance"),t=i.options,s=i._proportionallyResizeElements,n=s.length&&/textarea/i.test(s[0].nodeName),o=n&&i._hasScroll(s[0],"left")?0:i.sizeDiff.height,h=n?0:i.sizeDiff.width,n={width:i.size.width-h,height:i.size.height-o},h=parseFloat(i.element.css("left"))+(i.position.left-i.originalPosition.left)||null,o=parseFloat(i.element.css("top"))+(i.position.top-i.originalPosition.top)||null;i.element.animate(y.extend(n,o&&h?{top:o,left:h}:{}),{duration:t.animateDuration,easing:t.animateEasing,step:function(){var t={width:parseFloat(i.element.css("width")),height:parseFloat(i.element.css("height")),top:parseFloat(i.element.css("top")),left:parseFloat(i.element.css("left"))};s&&s.length&&y(s[0]).css({width:t.width,height:t.height}),i._updateCache(t),i._propagate("resize",e)}})}}),y.ui.plugin.add("resizable","containment",{start:function(){var i,s,n=y(this).resizable("instance"),t=n.options,e=n.element,o=t.containment,h=o instanceof y?o.get(0):/parent/.test(o)?e.parent().get(0):o;h&&(n.containerElement=y(h),/document/.test(o)||o===document?(n.containerOffset={left:0,top:0},n.containerPosition={left:0,top:0},n.parentData={element:y(document),left:0,top:0,width:y(document).width(),height:y(document).height()||document.body.parentNode.scrollHeight}):(i=y(h),s=[],y(["Top","Right","Left","Bottom"]).each(function(t,e){s[t]=n._num(i.css("padding"+e))}),n.containerOffset=i.offset(),n.containerPosition=i.position(),n.containerSize={height:i.innerHeight()-s[3],width:i.innerWidth()-s[1]},t=n.containerOffset,e=n.containerSize.height,o=n.containerSize.width,o=n._hasScroll(h,"left")?h.scrollWidth:o,e=n._hasScroll(h)?h.scrollHeight:e,n.parentData={element:h,left:t.left,top:t.top,width:o,height:e}))},resize:function(t){var e=y(this).resizable("instance"),i=e.options,s=e.containerOffset,n=e.position,o=e._aspectRatio||t.shiftKey,h={top:0,left:0},a=e.containerElement,t=!0;a[0]!==document&&/static/.test(a.css("position"))&&(h=s),n.left<(e._helper?s.left:0)&&(e.size.width=e.size.width+(e._helper?e.position.left-s.left:e.position.left-h.left),o&&(e.size.height=e.size.width/e.aspectRatio,t=!1),e.position.left=i.helper?s.left:0),n.top<(e._helper?s.top:0)&&(e.size.height=e.size.height+(e._helper?e.position.top-s.top:e.position.top),o&&(e.size.width=e.size.height*e.aspectRatio,t=!1),e.position.top=e._helper?s.top:0),i=e.containerElement.get(0)===e.element.parent().get(0),n=/relative|absolute/.test(e.containerElement.css("position")),i&&n?(e.offset.left=e.parentData.left+e.position.left,e.offset.top=e.parentData.top+e.position.top):(e.offset.left=e.element.offset().left,e.offset.top=e.element.offset().top),n=Math.abs(e.sizeDiff.width+(e._helper?e.offset.left-h.left:e.offset.left-s.left)),s=Math.abs(e.sizeDiff.height+(e._helper?e.offset.top-h.top:e.offset.top-s.top)),n+e.size.width>=e.parentData.width&&(e.size.width=e.parentData.width-n,o&&(e.size.height=e.size.width/e.aspectRatio,t=!1)),s+e.size.height>=e.parentData.height&&(e.size.height=e.parentData.height-s,o&&(e.size.width=e.size.height*e.aspectRatio,t=!1)),t||(e.position.left=e.prevPosition.left,e.position.top=e.prevPosition.top,e.size.width=e.prevSize.width,e.size.height=e.prevSize.height)},stop:function(){var t=y(this).resizable("instance"),e=t.options,i=t.containerOffset,s=t.containerPosition,n=t.containerElement,o=y(t.helper),h=o.offset(),a=o.outerWidth()-t.sizeDiff.width,o=o.outerHeight()-t.sizeDiff.height;t._helper&&!e.animate&&/relative/.test(n.css("position"))&&y(this).css({left:h.left-s.left-i.left,width:a,height:o}),t._helper&&!e.animate&&/static/.test(n.css("position"))&&y(this).css({left:h.left-s.left-i.left,width:a,height:o})}}),y.ui.plugin.add("resizable","alsoResize",{start:function(){var t=y(this).resizable("instance").options;y(t.alsoResize).each(function(){var t=y(this);t.data("ui-resizable-alsoresize",{width:parseFloat(t.width()),height:parseFloat(t.height()),left:parseFloat(t.css("left")),top:parseFloat(t.css("top"))})})},resize:function(t,i){var e=y(this).resizable("instance"),s=e.options,n=e.originalSize,o=e.originalPosition,h={height:e.size.height-n.height||0,width:e.size.width-n.width||0,top:e.position.top-o.top||0,left:e.position.left-o.left||0};y(s.alsoResize).each(function(){var t=y(this),s=y(this).data("ui-resizable-alsoresize"),n={},e=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];y.each(e,function(t,e){var i=(s[e]||0)+(h[e]||0);i&&0<=i&&(n[e]=i||null)}),t.css(n)})},stop:function(){y(this).removeData("ui-resizable-alsoresize")}}),y.ui.plugin.add("resizable","ghost",{start:function(){var t=y(this).resizable("instance"),e=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:e.height,width:e.width,margin:0,left:0,top:0}),t._addClass(t.ghost,"ui-resizable-ghost"),!1!==y.uiBackCompat&&"string"==typeof t.options.ghost&&t.ghost.addClass(this.options.ghost),t.ghost.appendTo(t.helper)},resize:function(){var t=y(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=y(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),y.ui.plugin.add("resizable","grid",{resize:function(){var t,e=y(this).resizable("instance"),i=e.options,s=e.size,n=e.originalSize,o=e.originalPosition,h=e.axis,a="number"==typeof i.grid?[i.grid,i.grid]:i.grid,r=a[0]||1,l=a[1]||1,u=Math.round((s.width-n.width)/r)*r,p=Math.round((s.height-n.height)/l)*l,d=n.width+u,c=n.height+p,f=i.maxWidth&&i.maxWidth<d,g=i.maxHeight&&i.maxHeight<c,m=i.minWidth&&i.minWidth>d,s=i.minHeight&&i.minHeight>c;i.grid=a,m&&(d+=r),s&&(c+=l),f&&(d-=r),g&&(c-=l),/^(se|s|e)$/.test(h)?(e.size.width=d,e.size.height=c):/^(ne)$/.test(h)?(e.size.width=d,e.size.height=c,e.position.top=o.top-p):/^(sw)$/.test(h)?(e.size.width=d,e.size.height=c,e.position.left=o.left-u):((c-l<=0||d-r<=0)&&(t=e._getPaddingPlusBorderDimensions(this)),0<c-l?(e.size.height=c,e.position.top=o.top-p):(c=l-t.height,e.size.height=c,e.position.top=o.top+n.height-c),0<d-r?(e.size.width=d,e.position.left=o.left-u):(d=r-t.width,e.size.width=d,e.position.left=o.left+n.width-d))}});y.ui.resizable});/**
+ * Copyright (c) 2007 Ariel Flesler - aflesler ○ gmail • com | https://github.com/flesler
+ * Licensed under MIT
+ * @author Ariel Flesler
+ * @version 2.1.2
+ */
+;(function(f){"use strict";"function"===typeof define&&define.amd?define(["jquery"],f):"undefined"!==typeof module&&module.exports?module.exports=f(require("jquery")):f(jQuery)})(function($){"use strict";function n(a){return!a.nodeName||-1!==$.inArray(a.nodeName.toLowerCase(),["iframe","#document","html","body"])}function h(a){return $.isFunction(a)||$.isPlainObject(a)?a:{top:a,left:a}}var p=$.scrollTo=function(a,d,b){return $(window).scrollTo(a,d,b)};p.defaults={axis:"xy",duration:0,limit:!0};$.fn.scrollTo=function(a,d,b){"object"=== typeof d&&(b=d,d=0);"function"===typeof b&&(b={onAfter:b});"max"===a&&(a=9E9);b=$.extend({},p.defaults,b);d=d||b.duration;var u=b.queue&&1<b.axis.length;u&&(d/=2);b.offset=h(b.offset);b.over=h(b.over);return this.each(function(){function k(a){var k=$.extend({},b,{queue:!0,duration:d,complete:a&&function(){a.call(q,e,b)}});r.animate(f,k)}if(null!==a){var l=n(this),q=l?this.contentWindow||window:this,r=$(q),e=a,f={},t;switch(typeof e){case "number":case "string":if(/^([+-]=?)?\d+(\.\d+)?(px|%)?$/.test(e)){e= h(e);break}e=l?$(e):$(e,q);case "object":if(e.length===0)return;if(e.is||e.style)t=(e=$(e)).offset()}var v=$.isFunction(b.offset)&&b.offset(q,e)||b.offset;$.each(b.axis.split(""),function(a,c){var d="x"===c?"Left":"Top",m=d.toLowerCase(),g="scroll"+d,h=r[g](),n=p.max(q,c);t?(f[g]=t[m]+(l?0:h-r.offset()[m]),b.margin&&(f[g]-=parseInt(e.css("margin"+d),10)||0,f[g]-=parseInt(e.css("border"+d+"Width"),10)||0),f[g]+=v[m]||0,b.over[m]&&(f[g]+=e["x"===c?"width":"height"]()*b.over[m])):(d=e[m],f[g]=d.slice&& "%"===d.slice(-1)?parseFloat(d)/100*n:d);b.limit&&/^\d+$/.test(f[g])&&(f[g]=0>=f[g]?0:Math.min(f[g],n));!a&&1<b.axis.length&&(h===f[g]?f={}:u&&(k(b.onAfterFirst),f={}))});k(b.onAfter)}})};p.max=function(a,d){var b="x"===d?"Width":"Height",h="scroll"+b;if(!n(a))return a[h]-$(a)[b.toLowerCase()]();var b="client"+b,k=a.ownerDocument||a.document,l=k.documentElement,k=k.body;return Math.max(l[h],k[h])-Math.min(l[b],k[b])};$.Tween.propHooks.scrollLeft=$.Tween.propHooks.scrollTop={get:function(a){return $(a.elem)[a.prop]()}, set:function(a){var d=this.get(a);if(a.options.interrupt&&a._last&&a._last!==d)return $(a.elem).stop();var b=Math.round(a.now);d!==b&&($(a.elem)[a.prop](b),a._last=this.get(a))}};return p});
+/*!
+ PowerTip v1.3.1 (2018-04-15)
+ https://stevenbenner.github.io/jquery-powertip/
+ Copyright (c) 2018 Steven Benner (http://stevenbenner.com/).
+ Released under MIT license.
+ https://raw.github.com/stevenbenner/jquery-powertip/master/LICENSE.txt
+*/
+(function(root,factory){if(typeof define==="function"&&define.amd){define(["jquery"],factory)}else if(typeof module==="object"&&module.exports){module.exports=factory(require("jquery"))}else{factory(root.jQuery)}})(this,function($){var $document=$(document),$window=$(window),$body=$("body");var DATA_DISPLAYCONTROLLER="displayController",DATA_HASACTIVEHOVER="hasActiveHover",DATA_FORCEDOPEN="forcedOpen",DATA_HASMOUSEMOVE="hasMouseMove",DATA_MOUSEONTOTIP="mouseOnToPopup",DATA_ORIGINALTITLE="originalTitle",DATA_POWERTIP="powertip",DATA_POWERTIPJQ="powertipjq",DATA_POWERTIPTARGET="powertiptarget",EVENT_NAMESPACE=".powertip",RAD2DEG=180/Math.PI,MOUSE_EVENTS=["click","dblclick","mousedown","mouseup","mousemove","mouseover","mouseout","mouseenter","mouseleave","contextmenu"];var session={tooltips:null,isTipOpen:false,isFixedTipOpen:false,isClosing:false,tipOpenImminent:false,activeHover:null,currentX:0,currentY:0,previousX:0,previousY:0,desyncTimeout:null,closeDelayTimeout:null,mouseTrackingActive:false,delayInProgress:false,windowWidth:0,windowHeight:0,scrollTop:0,scrollLeft:0};var Collision={none:0,top:1,bottom:2,left:4,right:8};$.fn.powerTip=function(opts,arg){var targetElements=this,options,tipController;if(!targetElements.length){return targetElements}if($.type(opts)==="string"&&$.powerTip[opts]){return $.powerTip[opts].call(targetElements,targetElements,arg)}options=$.extend({},$.fn.powerTip.defaults,opts);tipController=new TooltipController(options);initTracking();targetElements.each(function elementSetup(){var $this=$(this),dataPowertip=$this.data(DATA_POWERTIP),dataElem=$this.data(DATA_POWERTIPJQ),dataTarget=$this.data(DATA_POWERTIPTARGET),title=$this.attr("title");if(!dataPowertip&&!dataTarget&&!dataElem&&title){$this.data(DATA_POWERTIP,title);$this.data(DATA_ORIGINALTITLE,title);$this.removeAttr("title")}$this.data(DATA_DISPLAYCONTROLLER,new DisplayController($this,options,tipController))});if(!options.manual){$.each(options.openEvents,function(idx,evt){if($.inArray(evt,options.closeEvents)>-1){targetElements.on(evt+EVENT_NAMESPACE,function elementToggle(event){$.powerTip.toggle(this,event)})}else{targetElements.on(evt+EVENT_NAMESPACE,function elementOpen(event){$.powerTip.show(this,event)})}});$.each(options.closeEvents,function(idx,evt){if($.inArray(evt,options.openEvents)<0){targetElements.on(evt+EVENT_NAMESPACE,function elementClose(event){$.powerTip.hide(this,!isMouseEvent(event))})}});targetElements.on("keydown"+EVENT_NAMESPACE,function elementKeyDown(event){if(event.keyCode===27){$.powerTip.hide(this,true)}})}return targetElements};$.fn.powerTip.defaults={fadeInTime:200,fadeOutTime:100,followMouse:false,popupId:"powerTip",popupClass:null,intentSensitivity:7,intentPollInterval:100,closeDelay:100,placement:"n",smartPlacement:false,offset:10,mouseOnToPopup:false,manual:false,openEvents:["mouseenter","focus"],closeEvents:["mouseleave","blur"]};$.fn.powerTip.smartPlacementLists={n:["n","ne","nw","s"],e:["e","ne","se","w","nw","sw","n","s","e"],s:["s","se","sw","n"],w:["w","nw","sw","e","ne","se","n","s","w"],nw:["nw","w","sw","n","s","se","nw"],ne:["ne","e","se","n","s","sw","ne"],sw:["sw","w","nw","s","n","ne","sw"],se:["se","e","ne","s","n","nw","se"],"nw-alt":["nw-alt","n","ne-alt","sw-alt","s","se-alt","w","e"],"ne-alt":["ne-alt","n","nw-alt","se-alt","s","sw-alt","e","w"],"sw-alt":["sw-alt","s","se-alt","nw-alt","n","ne-alt","w","e"],"se-alt":["se-alt","s","sw-alt","ne-alt","n","nw-alt","e","w"]};$.powerTip={show:function apiShowTip(element,event){if(isMouseEvent(event)){trackMouse(event);session.previousX=event.pageX;session.previousY=event.pageY;$(element).data(DATA_DISPLAYCONTROLLER).show()}else{$(element).first().data(DATA_DISPLAYCONTROLLER).show(true,true)}return element},reposition:function apiResetPosition(element){$(element).first().data(DATA_DISPLAYCONTROLLER).resetPosition();return element},hide:function apiCloseTip(element,immediate){var displayController;immediate=element?immediate:true;if(element){displayController=$(element).first().data(DATA_DISPLAYCONTROLLER)}else if(session.activeHover){displayController=session.activeHover.data(DATA_DISPLAYCONTROLLER)}if(displayController){displayController.hide(immediate)}return element},toggle:function apiToggle(element,event){if(session.activeHover&&session.activeHover.is(element)){$.powerTip.hide(element,!isMouseEvent(event))}else{$.powerTip.show(element,event)}return element}};$.powerTip.showTip=$.powerTip.show;$.powerTip.closeTip=$.powerTip.hide;function CSSCoordinates(){var me=this;me.top="auto";me.left="auto";me.right="auto";me.bottom="auto";me.set=function(property,value){if($.isNumeric(value)){me[property]=Math.round(value)}}}function DisplayController(element,options,tipController){var hoverTimer=null,myCloseDelay=null;function openTooltip(immediate,forceOpen){cancelTimer();if(!element.data(DATA_HASACTIVEHOVER)){if(!immediate){session.tipOpenImminent=true;hoverTimer=setTimeout(function intentDelay(){hoverTimer=null;checkForIntent()},options.intentPollInterval)}else{if(forceOpen){element.data(DATA_FORCEDOPEN,true)}closeAnyDelayed();tipController.showTip(element)}}else{cancelClose()}}function closeTooltip(disableDelay){if(myCloseDelay){myCloseDelay=session.closeDelayTimeout=clearTimeout(myCloseDelay);session.delayInProgress=false}cancelTimer();session.tipOpenImminent=false;if(element.data(DATA_HASACTIVEHOVER)){element.data(DATA_FORCEDOPEN,false);if(!disableDelay){session.delayInProgress=true;session.closeDelayTimeout=setTimeout(function closeDelay(){session.closeDelayTimeout=null;tipController.hideTip(element);session.delayInProgress=false;myCloseDelay=null},options.closeDelay);myCloseDelay=session.closeDelayTimeout}else{tipController.hideTip(element)}}}function checkForIntent(){var xDifference=Math.abs(session.previousX-session.currentX),yDifference=Math.abs(session.previousY-session.currentY),totalDifference=xDifference+yDifference;if(totalDifference<options.intentSensitivity){cancelClose();closeAnyDelayed();tipController.showTip(element)}else{session.previousX=session.currentX;session.previousY=session.currentY;openTooltip()}}function cancelTimer(stopClose){hoverTimer=clearTimeout(hoverTimer);if(session.closeDelayTimeout&&myCloseDelay===session.closeDelayTimeout||stopClose){cancelClose()}}function cancelClose(){session.closeDelayTimeout=clearTimeout(session.closeDelayTimeout);session.delayInProgress=false}function closeAnyDelayed(){if(session.delayInProgress&&session.activeHover&&!session.activeHover.is(element)){session.activeHover.data(DATA_DISPLAYCONTROLLER).hide(true)}}function repositionTooltip(){tipController.resetPosition(element)}this.show=openTooltip;this.hide=closeTooltip;this.cancel=cancelTimer;this.resetPosition=repositionTooltip}function PlacementCalculator(){function computePlacementCoords(element,placement,tipWidth,tipHeight,offset){var placementBase=placement.split("-")[0],coords=new CSSCoordinates,position;if(isSvgElement(element)){position=getSvgPlacement(element,placementBase)}else{position=getHtmlPlacement(element,placementBase)}switch(placement){case"n":coords.set("left",position.left-tipWidth/2);coords.set("bottom",session.windowHeight-position.top+offset);break;case"e":coords.set("left",position.left+offset);coords.set("top",position.top-tipHeight/2);break;case"s":coords.set("left",position.left-tipWidth/2);coords.set("top",position.top+offset);break;case"w":coords.set("top",position.top-tipHeight/2);coords.set("right",session.windowWidth-position.left+offset);break;case"nw":coords.set("bottom",session.windowHeight-position.top+offset);coords.set("right",session.windowWidth-position.left-20);break;case"nw-alt":coords.set("left",position.left);coords.set("bottom",session.windowHeight-position.top+offset);break;case"ne":coords.set("left",position.left-20);coords.set("bottom",session.windowHeight-position.top+offset);break;case"ne-alt":coords.set("bottom",session.windowHeight-position.top+offset);coords.set("right",session.windowWidth-position.left);break;case"sw":coords.set("top",position.top+offset);coords.set("right",session.windowWidth-position.left-20);break;case"sw-alt":coords.set("left",position.left);coords.set("top",position.top+offset);break;case"se":coords.set("left",position.left-20);coords.set("top",position.top+offset);break;case"se-alt":coords.set("top",position.top+offset);coords.set("right",session.windowWidth-position.left);break}return coords}function getHtmlPlacement(element,placement){var objectOffset=element.offset(),objectWidth=element.outerWidth(),objectHeight=element.outerHeight(),left,top;switch(placement){case"n":left=objectOffset.left+objectWidth/2;top=objectOffset.top;break;case"e":left=objectOffset.left+objectWidth;top=objectOffset.top+objectHeight/2;break;case"s":left=objectOffset.left+objectWidth/2;top=objectOffset.top+objectHeight;break;case"w":left=objectOffset.left;top=objectOffset.top+objectHeight/2;break;case"nw":left=objectOffset.left;top=objectOffset.top;break;case"ne":left=objectOffset.left+objectWidth;top=objectOffset.top;break;case"sw":left=objectOffset.left;top=objectOffset.top+objectHeight;break;case"se":left=objectOffset.left+objectWidth;top=objectOffset.top+objectHeight;break}return{top:top,left:left}}function getSvgPlacement(element,placement){var svgElement=element.closest("svg")[0],domElement=element[0],point=svgElement.createSVGPoint(),boundingBox=domElement.getBBox(),matrix=domElement.getScreenCTM(),halfWidth=boundingBox.width/2,halfHeight=boundingBox.height/2,placements=[],placementKeys=["nw","n","ne","e","se","s","sw","w"],coords,rotation,steps,x;function pushPlacement(){placements.push(point.matrixTransform(matrix))}point.x=boundingBox.x;point.y=boundingBox.y;pushPlacement();point.x+=halfWidth;pushPlacement();point.x+=halfWidth;pushPlacement();point.y+=halfHeight;pushPlacement();point.y+=halfHeight;pushPlacement();point.x-=halfWidth;pushPlacement();point.x-=halfWidth;pushPlacement();point.y-=halfHeight;pushPlacement();if(placements[0].y!==placements[1].y||placements[0].x!==placements[7].x){rotation=Math.atan2(matrix.b,matrix.a)*RAD2DEG;steps=Math.ceil((rotation%360-22.5)/45);if(steps<1){steps+=8}while(steps--){placementKeys.push(placementKeys.shift())}}for(x=0;x<placements.length;x++){if(placementKeys[x]===placement){coords=placements[x];break}}return{top:coords.y+session.scrollTop,left:coords.x+session.scrollLeft}}this.compute=computePlacementCoords}function TooltipController(options){var placementCalculator=new PlacementCalculator,tipElement=$("#"+options.popupId);if(tipElement.length===0){tipElement=$("<div/>",{id:options.popupId});if($body.length===0){$body=$("body")}$body.append(tipElement);session.tooltips=session.tooltips?session.tooltips.add(tipElement):tipElement}if(options.followMouse){if(!tipElement.data(DATA_HASMOUSEMOVE)){$document.on("mousemove"+EVENT_NAMESPACE,positionTipOnCursor);$window.on("scroll"+EVENT_NAMESPACE,positionTipOnCursor);tipElement.data(DATA_HASMOUSEMOVE,true)}}function beginShowTip(element){element.data(DATA_HASACTIVEHOVER,true);tipElement.queue(function queueTipInit(next){showTip(element);next()})}function showTip(element){var tipContent;if(!element.data(DATA_HASACTIVEHOVER)){return}if(session.isTipOpen){if(!session.isClosing){hideTip(session.activeHover)}tipElement.delay(100).queue(function queueTipAgain(next){showTip(element);next()});return}element.trigger("powerTipPreRender");tipContent=getTooltipContent(element);if(tipContent){tipElement.empty().append(tipContent)}else{return}element.trigger("powerTipRender");session.activeHover=element;session.isTipOpen=true;tipElement.data(DATA_MOUSEONTOTIP,options.mouseOnToPopup);tipElement.addClass(options.popupClass);if(!options.followMouse||element.data(DATA_FORCEDOPEN)){positionTipOnElement(element);session.isFixedTipOpen=true}else{positionTipOnCursor()}if(!element.data(DATA_FORCEDOPEN)&&!options.followMouse){$document.on("click"+EVENT_NAMESPACE,function documentClick(event){var target=event.target;if(target!==element[0]){if(options.mouseOnToPopup){if(target!==tipElement[0]&&!$.contains(tipElement[0],target)){$.powerTip.hide()}}else{$.powerTip.hide()}}})}if(options.mouseOnToPopup&&!options.manual){tipElement.on("mouseenter"+EVENT_NAMESPACE,function tipMouseEnter(){if(session.activeHover){session.activeHover.data(DATA_DISPLAYCONTROLLER).cancel()}});tipElement.on("mouseleave"+EVENT_NAMESPACE,function tipMouseLeave(){if(session.activeHover){session.activeHover.data(DATA_DISPLAYCONTROLLER).hide()}})}tipElement.fadeIn(options.fadeInTime,function fadeInCallback(){if(!session.desyncTimeout){session.desyncTimeout=setInterval(closeDesyncedTip,500)}element.trigger("powerTipOpen")})}function hideTip(element){session.isClosing=true;session.isTipOpen=false;session.desyncTimeout=clearInterval(session.desyncTimeout);element.data(DATA_HASACTIVEHOVER,false);element.data(DATA_FORCEDOPEN,false);$document.off("click"+EVENT_NAMESPACE);tipElement.off(EVENT_NAMESPACE);tipElement.fadeOut(options.fadeOutTime,function fadeOutCallback(){var coords=new CSSCoordinates;session.activeHover=null;session.isClosing=false;session.isFixedTipOpen=false;tipElement.removeClass();coords.set("top",session.currentY+options.offset);coords.set("left",session.currentX+options.offset);tipElement.css(coords);element.trigger("powerTipClose")})}function positionTipOnCursor(){var tipWidth,tipHeight,coords,collisions,collisionCount;if(!session.isFixedTipOpen&&(session.isTipOpen||session.tipOpenImminent&&tipElement.data(DATA_HASMOUSEMOVE))){tipWidth=tipElement.outerWidth();tipHeight=tipElement.outerHeight();coords=new CSSCoordinates;coords.set("top",session.currentY+options.offset);coords.set("left",session.currentX+options.offset);collisions=getViewportCollisions(coords,tipWidth,tipHeight);if(collisions!==Collision.none){collisionCount=countFlags(collisions);if(collisionCount===1){if(collisions===Collision.right){coords.set("left",session.scrollLeft+session.windowWidth-tipWidth)}else if(collisions===Collision.bottom){coords.set("top",session.scrollTop+session.windowHeight-tipHeight)}}else{coords.set("left",session.currentX-tipWidth-options.offset);coords.set("top",session.currentY-tipHeight-options.offset)}}tipElement.css(coords)}}function positionTipOnElement(element){var priorityList,finalPlacement;if(options.smartPlacement||options.followMouse&&element.data(DATA_FORCEDOPEN)){priorityList=$.fn.powerTip.smartPlacementLists[options.placement];$.each(priorityList,function(idx,pos){var collisions=getViewportCollisions(placeTooltip(element,pos),tipElement.outerWidth(),tipElement.outerHeight());finalPlacement=pos;return collisions!==Collision.none})}else{placeTooltip(element,options.placement);finalPlacement=options.placement}tipElement.removeClass("w nw sw e ne se n s w se-alt sw-alt ne-alt nw-alt");tipElement.addClass(finalPlacement)}function placeTooltip(element,placement){var iterationCount=0,tipWidth,tipHeight,coords=new CSSCoordinates;coords.set("top",0);coords.set("left",0);tipElement.css(coords);do{tipWidth=tipElement.outerWidth();tipHeight=tipElement.outerHeight();coords=placementCalculator.compute(element,placement,tipWidth,tipHeight,options.offset);tipElement.css(coords)}while(++iterationCount<=5&&(tipWidth!==tipElement.outerWidth()||tipHeight!==tipElement.outerHeight()));return coords}function closeDesyncedTip(){var isDesynced=false,hasDesyncableCloseEvent=$.grep(["mouseleave","mouseout","blur","focusout"],function(eventType){return $.inArray(eventType,options.closeEvents)!==-1}).length>0;if(session.isTipOpen&&!session.isClosing&&!session.delayInProgress&&hasDesyncableCloseEvent){if(session.activeHover.data(DATA_HASACTIVEHOVER)===false||session.activeHover.is(":disabled")){isDesynced=true}else if(!isMouseOver(session.activeHover)&&!session.activeHover.is(":focus")&&!session.activeHover.data(DATA_FORCEDOPEN)){if(tipElement.data(DATA_MOUSEONTOTIP)){if(!isMouseOver(tipElement)){isDesynced=true}}else{isDesynced=true}}if(isDesynced){hideTip(session.activeHover)}}}this.showTip=beginShowTip;this.hideTip=hideTip;this.resetPosition=positionTipOnElement}function isSvgElement(element){return Boolean(window.SVGElement&&element[0]instanceof SVGElement)}function isMouseEvent(event){return Boolean(event&&$.inArray(event.type,MOUSE_EVENTS)>-1&&typeof event.pageX==="number")}function initTracking(){if(!session.mouseTrackingActive){session.mouseTrackingActive=true;getViewportDimensions();$(getViewportDimensions);$document.on("mousemove"+EVENT_NAMESPACE,trackMouse);$window.on("resize"+EVENT_NAMESPACE,trackResize);$window.on("scroll"+EVENT_NAMESPACE,trackScroll)}}function getViewportDimensions(){session.scrollLeft=$window.scrollLeft();session.scrollTop=$window.scrollTop();session.windowWidth=$window.width();session.windowHeight=$window.height()}function trackResize(){session.windowWidth=$window.width();session.windowHeight=$window.height()}function trackScroll(){var x=$window.scrollLeft(),y=$window.scrollTop();if(x!==session.scrollLeft){session.currentX+=x-session.scrollLeft;session.scrollLeft=x}if(y!==session.scrollTop){session.currentY+=y-session.scrollTop;session.scrollTop=y}}function trackMouse(event){session.currentX=event.pageX;session.currentY=event.pageY}function isMouseOver(element){var elementPosition=element.offset(),elementBox=element[0].getBoundingClientRect(),elementWidth=elementBox.right-elementBox.left,elementHeight=elementBox.bottom-elementBox.top;return session.currentX>=elementPosition.left&&session.currentX<=elementPosition.left+elementWidth&&session.currentY>=elementPosition.top&&session.currentY<=elementPosition.top+elementHeight}function getTooltipContent(element){var tipText=element.data(DATA_POWERTIP),tipObject=element.data(DATA_POWERTIPJQ),tipTarget=element.data(DATA_POWERTIPTARGET),targetElement,content;if(tipText){if($.isFunction(tipText)){tipText=tipText.call(element[0])}content=tipText}else if(tipObject){if($.isFunction(tipObject)){tipObject=tipObject.call(element[0])}if(tipObject.length>0){content=tipObject.clone(true,true)}}else if(tipTarget){targetElement=$("#"+tipTarget);if(targetElement.length>0){content=targetElement.html()}}return content}function getViewportCollisions(coords,elementWidth,elementHeight){var viewportTop=session.scrollTop,viewportLeft=session.scrollLeft,viewportBottom=viewportTop+session.windowHeight,viewportRight=viewportLeft+session.windowWidth,collisions=Collision.none;if(coords.top<viewportTop||Math.abs(coords.bottom-session.windowHeight)-elementHeight<viewportTop){collisions|=Collision.top}if(coords.top+elementHeight>viewportBottom||Math.abs(coords.bottom-session.windowHeight)>viewportBottom){collisions|=Collision.bottom}if(coords.left<viewportLeft||coords.right+elementWidth>viewportRight){collisions|=Collision.left}if(coords.left+elementWidth>viewportRight||coords.right<viewportLeft){collisions|=Collision.right}return collisions}function countFlags(value){var count=0;while(value){value&=value-1;count++}return count}return $.powerTip});/*!
+ * jQuery UI Touch Punch 0.2.3
+ *
+ * Copyright 2011–2014, Dave Furfero
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ *
+ * Depends:
+ *  jquery.ui.widget.js
+ *  jquery.ui.mouse.js
+ */
+!function(a){function f(a,b){if(!(a.originalEvent.touches.length>1)){a.preventDefault();var c=a.originalEvent.changedTouches[0],d=document.createEvent("MouseEvents");d.initMouseEvent(b,!0,!0,window,1,c.screenX,c.screenY,c.clientX,c.clientY,!1,!1,!1,!1,0,null),a.target.dispatchEvent(d)}}if(a.support.touch="ontouchend"in document,a.support.touch){var e,b=a.ui.mouse.prototype,c=b._mouseInit,d=b._mouseDestroy;b._touchStart=function(a){var b=this;!e&&b._mouseCapture(a.originalEvent.changedTouches[0])&&(e=!0,b._touchMoved=!1,f(a,"mouseover"),f(a,"mousemove"),f(a,"mousedown"))},b._touchMove=function(a){e&&(this._touchMoved=!0,f(a,"mousemove"))},b._touchEnd=function(a){e&&(f(a,"mouseup"),f(a,"mouseout"),this._touchMoved||f(a,"click"),e=!1)},b._mouseInit=function(){var b=this;b.element.bind({touchstart:a.proxy(b,"_touchStart"),touchmove:a.proxy(b,"_touchMove"),touchend:a.proxy(b,"_touchEnd")}),c.call(b)},b._mouseDestroy=function(){var b=this;b.element.unbind({touchstart:a.proxy(b,"_touchStart"),touchmove:a.proxy(b,"_touchMove"),touchend:a.proxy(b,"_touchEnd")}),d.call(b)}}}(jQuery);/*! SmartMenus jQuery Plugin - v1.1.0 - September 17, 2017
+ * http://www.smartmenus.org/
+ * Copyright Vasil Dinkov, Vadikom Web Ltd. http://vadikom.com; Licensed MIT */(function(t){"function"==typeof define&&define.amd?define(["jquery"],t):"object"==typeof module&&"object"==typeof module.exports?module.exports=t(require("jquery")):t(jQuery)})(function($){function initMouseDetection(t){var e=".smartmenus_mouse";if(mouseDetectionEnabled||t)mouseDetectionEnabled&&t&&($(document).off(e),mouseDetectionEnabled=!1);else{var i=!0,s=null,o={mousemove:function(t){var e={x:t.pageX,y:t.pageY,timeStamp:(new Date).getTime()};if(s){var o=Math.abs(s.x-e.x),a=Math.abs(s.y-e.y);if((o>0||a>0)&&2>=o&&2>=a&&300>=e.timeStamp-s.timeStamp&&(mouse=!0,i)){var n=$(t.target).closest("a");n.is("a")&&$.each(menuTrees,function(){return $.contains(this.$root[0],n[0])?(this.itemEnter({currentTarget:n[0]}),!1):void 0}),i=!1}}s=e}};o[touchEvents?"touchstart":"pointerover pointermove pointerout MSPointerOver MSPointerMove MSPointerOut"]=function(t){isTouchEvent(t.originalEvent)&&(mouse=!1)},$(document).on(getEventsNS(o,e)),mouseDetectionEnabled=!0}}function isTouchEvent(t){return!/^(4|mouse)$/.test(t.pointerType)}function getEventsNS(t,e){e||(e="");var i={};for(var s in t)i[s.split(" ").join(e+" ")+e]=t[s];return i}var menuTrees=[],mouse=!1,touchEvents="ontouchstart"in window,mouseDetectionEnabled=!1,requestAnimationFrame=window.requestAnimationFrame||function(t){return setTimeout(t,1e3/60)},cancelAnimationFrame=window.cancelAnimationFrame||function(t){clearTimeout(t)},canAnimate=!!$.fn.animate;return $.SmartMenus=function(t,e){this.$root=$(t),this.opts=e,this.rootId="",this.accessIdPrefix="",this.$subArrow=null,this.activatedItems=[],this.visibleSubMenus=[],this.showTimeout=0,this.hideTimeout=0,this.scrollTimeout=0,this.clickActivated=!1,this.focusActivated=!1,this.zIndexInc=0,this.idInc=0,this.$firstLink=null,this.$firstSub=null,this.disabled=!1,this.$disableOverlay=null,this.$touchScrollingSub=null,this.cssTransforms3d="perspective"in t.style||"webkitPerspective"in t.style,this.wasCollapsible=!1,this.init()},$.extend($.SmartMenus,{hideAll:function(){$.each(menuTrees,function(){this.menuHideAll()})},destroy:function(){for(;menuTrees.length;)menuTrees[0].destroy();initMouseDetection(!0)},prototype:{init:function(t){var e=this;if(!t){menuTrees.push(this),this.rootId=((new Date).getTime()+Math.random()+"").replace(/\D/g,""),this.accessIdPrefix="sm-"+this.rootId+"-",this.$root.hasClass("sm-rtl")&&(this.opts.rightToLeftSubMenus=!0);var i=".smartmenus";this.$root.data("smartmenus",this).attr("data-smartmenus-id",this.rootId).dataSM("level",1).on(getEventsNS({"mouseover focusin":$.proxy(this.rootOver,this),"mouseout focusout":$.proxy(this.rootOut,this),keydown:$.proxy(this.rootKeyDown,this)},i)).on(getEventsNS({mouseenter:$.proxy(this.itemEnter,this),mouseleave:$.proxy(this.itemLeave,this),mousedown:$.proxy(this.itemDown,this),focus:$.proxy(this.itemFocus,this),blur:$.proxy(this.itemBlur,this),click:$.proxy(this.itemClick,this)},i),"a"),i+=this.rootId,this.opts.hideOnClick&&$(document).on(getEventsNS({touchstart:$.proxy(this.docTouchStart,this),touchmove:$.proxy(this.docTouchMove,this),touchend:$.proxy(this.docTouchEnd,this),click:$.proxy(this.docClick,this)},i)),$(window).on(getEventsNS({"resize orientationchange":$.proxy(this.winResize,this)},i)),this.opts.subIndicators&&(this.$subArrow=$("<span/>").addClass("sub-arrow"),this.opts.subIndicatorsText&&this.$subArrow.html(this.opts.subIndicatorsText)),initMouseDetection()}if(this.$firstSub=this.$root.find("ul").each(function(){e.menuInit($(this))}).eq(0),this.$firstLink=this.$root.find("a").eq(0),this.opts.markCurrentItem){var s=/(index|default)\.[^#\?\/]*/i,o=/#.*/,a=window.location.href.replace(s,""),n=a.replace(o,"");this.$root.find("a").each(function(){var t=this.href.replace(s,""),i=$(this);(t==a||t==n)&&(i.addClass("current"),e.opts.markCurrentTree&&i.parentsUntil("[data-smartmenus-id]","ul").each(function(){$(this).dataSM("parent-a").addClass("current")}))})}this.wasCollapsible=this.isCollapsible()},destroy:function(t){if(!t){var e=".smartmenus";this.$root.removeData("smartmenus").removeAttr("data-smartmenus-id").removeDataSM("level").off(e),e+=this.rootId,$(document).off(e),$(window).off(e),this.opts.subIndicators&&(this.$subArrow=null)}this.menuHideAll();var i=this;this.$root.find("ul").each(function(){var t=$(this);t.dataSM("scroll-arrows")&&t.dataSM("scroll-arrows").remove(),t.dataSM("shown-before")&&((i.opts.subMenusMinWidth||i.opts.subMenusMaxWidth)&&t.css({width:"",minWidth:"",maxWidth:""}).removeClass("sm-nowrap"),t.dataSM("scroll-arrows")&&t.dataSM("scroll-arrows").remove(),t.css({zIndex:"",top:"",left:"",marginLeft:"",marginTop:"",display:""})),0==(t.attr("id")||"").indexOf(i.accessIdPrefix)&&t.removeAttr("id")}).removeDataSM("in-mega").removeDataSM("shown-before").removeDataSM("scroll-arrows").removeDataSM("parent-a").removeDataSM("level").removeDataSM("beforefirstshowfired").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeAttr("aria-expanded"),this.$root.find("a.has-submenu").each(function(){var t=$(this);0==t.attr("id").indexOf(i.accessIdPrefix)&&t.removeAttr("id")}).removeClass("has-submenu").removeDataSM("sub").removeAttr("aria-haspopup").removeAttr("aria-controls").removeAttr("aria-expanded").closest("li").removeDataSM("sub"),this.opts.subIndicators&&this.$root.find("span.sub-arrow").remove(),this.opts.markCurrentItem&&this.$root.find("a.current").removeClass("current"),t||(this.$root=null,this.$firstLink=null,this.$firstSub=null,this.$disableOverlay&&(this.$disableOverlay.remove(),this.$disableOverlay=null),menuTrees.splice($.inArray(this,menuTrees),1))},disable:function(t){if(!this.disabled){if(this.menuHideAll(),!t&&!this.opts.isPopup&&this.$root.is(":visible")){var e=this.$root.offset();this.$disableOverlay=$('<div class="sm-jquery-disable-overlay"/>').css({position:"absolute",top:e.top,left:e.left,width:this.$root.outerWidth(),height:this.$root.outerHeight(),zIndex:this.getStartZIndex(!0),opacity:0}).appendTo(document.body)}this.disabled=!0}},docClick:function(t){return this.$touchScrollingSub?(this.$touchScrollingSub=null,void 0):((this.visibleSubMenus.length&&!$.contains(this.$root[0],t.target)||$(t.target).closest("a").length)&&this.menuHideAll(),void 0)},docTouchEnd:function(){if(this.lastTouch){if(!(!this.visibleSubMenus.length||void 0!==this.lastTouch.x2&&this.lastTouch.x1!=this.lastTouch.x2||void 0!==this.lastTouch.y2&&this.lastTouch.y1!=this.lastTouch.y2||this.lastTouch.target&&$.contains(this.$root[0],this.lastTouch.target))){this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0);var t=this;this.hideTimeout=setTimeout(function(){t.menuHideAll()},350)}this.lastTouch=null}},docTouchMove:function(t){if(this.lastTouch){var e=t.originalEvent.touches[0];this.lastTouch.x2=e.pageX,this.lastTouch.y2=e.pageY}},docTouchStart:function(t){var e=t.originalEvent.touches[0];this.lastTouch={x1:e.pageX,y1:e.pageY,target:e.target}},enable:function(){this.disabled&&(this.$disableOverlay&&(this.$disableOverlay.remove(),this.$disableOverlay=null),this.disabled=!1)},getClosestMenu:function(t){for(var e=$(t).closest("ul");e.dataSM("in-mega");)e=e.parent().closest("ul");return e[0]||null},getHeight:function(t){return this.getOffset(t,!0)},getOffset:function(t,e){var i;"none"==t.css("display")&&(i={position:t[0].style.position,visibility:t[0].style.visibility},t.css({position:"absolute",visibility:"hidden"}).show());var s=t[0].getBoundingClientRect&&t[0].getBoundingClientRect(),o=s&&(e?s.height||s.bottom-s.top:s.width||s.right-s.left);return o||0===o||(o=e?t[0].offsetHeight:t[0].offsetWidth),i&&t.hide().css(i),o},getStartZIndex:function(t){var e=parseInt(this[t?"$root":"$firstSub"].css("z-index"));return!t&&isNaN(e)&&(e=parseInt(this.$root.css("z-index"))),isNaN(e)?1:e},getTouchPoint:function(t){return t.touches&&t.touches[0]||t.changedTouches&&t.changedTouches[0]||t},getViewport:function(t){var e=t?"Height":"Width",i=document.documentElement["client"+e],s=window["inner"+e];return s&&(i=Math.min(i,s)),i},getViewportHeight:function(){return this.getViewport(!0)},getViewportWidth:function(){return this.getViewport()},getWidth:function(t){return this.getOffset(t)},handleEvents:function(){return!this.disabled&&this.isCSSOn()},handleItemEvents:function(t){return this.handleEvents()&&!this.isLinkInMegaMenu(t)},isCollapsible:function(){return"static"==this.$firstSub.css("position")},isCSSOn:function(){return"inline"!=this.$firstLink.css("display")},isFixed:function(){var t="fixed"==this.$root.css("position");return t||this.$root.parentsUntil("body").each(function(){return"fixed"==$(this).css("position")?(t=!0,!1):void 0}),t},isLinkInMegaMenu:function(t){return $(this.getClosestMenu(t[0])).hasClass("mega-menu")},isTouchMode:function(){return!mouse||this.opts.noMouseOver||this.isCollapsible()},itemActivate:function(t,e){var i=t.closest("ul"),s=i.dataSM("level");if(s>1&&(!this.activatedItems[s-2]||this.activatedItems[s-2][0]!=i.dataSM("parent-a")[0])){var o=this;$(i.parentsUntil("[data-smartmenus-id]","ul").get().reverse()).add(i).each(function(){o.itemActivate($(this).dataSM("parent-a"))})}if((!this.isCollapsible()||e)&&this.menuHideSubMenus(this.activatedItems[s-1]&&this.activatedItems[s-1][0]==t[0]?s:s-1),this.activatedItems[s-1]=t,this.$root.triggerHandler("activate.smapi",t[0])!==!1){var a=t.dataSM("sub");a&&(this.isTouchMode()||!this.opts.showOnClick||this.clickActivated)&&this.menuShow(a)}},itemBlur:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&this.$root.triggerHandler("blur.smapi",e[0])},itemClick:function(t){var e=$(t.currentTarget);if(this.handleItemEvents(e)){if(this.$touchScrollingSub&&this.$touchScrollingSub[0]==e.closest("ul")[0])return this.$touchScrollingSub=null,t.stopPropagation(),!1;if(this.$root.triggerHandler("click.smapi",e[0])===!1)return!1;var i=$(t.target).is(".sub-arrow"),s=e.dataSM("sub"),o=s?2==s.dataSM("level"):!1,a=this.isCollapsible(),n=/toggle$/.test(this.opts.collapsibleBehavior),r=/link$/.test(this.opts.collapsibleBehavior),h=/^accordion/.test(this.opts.collapsibleBehavior);if(s&&!s.is(":visible")){if((!r||!a||i)&&(this.opts.showOnClick&&o&&(this.clickActivated=!0),this.itemActivate(e,h),s.is(":visible")))return this.focusActivated=!0,!1}else if(a&&(n||i))return this.itemActivate(e,h),this.menuHide(s),n&&(this.focusActivated=!1),!1;return this.opts.showOnClick&&o||e.hasClass("disabled")||this.$root.triggerHandler("select.smapi",e[0])===!1?!1:void 0}},itemDown:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&e.dataSM("mousedown",!0)},itemEnter:function(t){var e=$(t.currentTarget);if(this.handleItemEvents(e)){if(!this.isTouchMode()){this.showTimeout&&(clearTimeout(this.showTimeout),this.showTimeout=0);var i=this;this.showTimeout=setTimeout(function(){i.itemActivate(e)},this.opts.showOnClick&&1==e.closest("ul").dataSM("level")?1:this.opts.showTimeout)}this.$root.triggerHandler("mouseenter.smapi",e[0])}},itemFocus:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&(!this.focusActivated||this.isTouchMode()&&e.dataSM("mousedown")||this.activatedItems.length&&this.activatedItems[this.activatedItems.length-1][0]==e[0]||this.itemActivate(e,!0),this.$root.triggerHandler("focus.smapi",e[0]))},itemLeave:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&(this.isTouchMode()||(e[0].blur(),this.showTimeout&&(clearTimeout(this.showTimeout),this.showTimeout=0)),e.removeDataSM("mousedown"),this.$root.triggerHandler("mouseleave.smapi",e[0]))},menuHide:function(t){if(this.$root.triggerHandler("beforehide.smapi",t[0])!==!1&&(canAnimate&&t.stop(!0,!0),"none"!=t.css("display"))){var e=function(){t.css("z-index","")};this.isCollapsible()?canAnimate&&this.opts.collapsibleHideFunction?this.opts.collapsibleHideFunction.call(this,t,e):t.hide(this.opts.collapsibleHideDuration,e):canAnimate&&this.opts.hideFunction?this.opts.hideFunction.call(this,t,e):t.hide(this.opts.hideDuration,e),t.dataSM("scroll")&&(this.menuScrollStop(t),t.css({"touch-action":"","-ms-touch-action":"","-webkit-transform":"",transform:""}).off(".smartmenus_scroll").removeDataSM("scroll").dataSM("scroll-arrows").hide()),t.dataSM("parent-a").removeClass("highlighted").attr("aria-expanded","false"),t.attr({"aria-expanded":"false","aria-hidden":"true"});var i=t.dataSM("level");this.activatedItems.splice(i-1,1),this.visibleSubMenus.splice($.inArray(t,this.visibleSubMenus),1),this.$root.triggerHandler("hide.smapi",t[0])}},menuHideAll:function(){this.showTimeout&&(clearTimeout(this.showTimeout),this.showTimeout=0);for(var t=this.opts.isPopup?1:0,e=this.visibleSubMenus.length-1;e>=t;e--)this.menuHide(this.visibleSubMenus[e]);this.opts.isPopup&&(canAnimate&&this.$root.stop(!0,!0),this.$root.is(":visible")&&(canAnimate&&this.opts.hideFunction?this.opts.hideFunction.call(this,this.$root):this.$root.hide(this.opts.hideDuration))),this.activatedItems=[],this.visibleSubMenus=[],this.clickActivated=!1,this.focusActivated=!1,this.zIndexInc=0,this.$root.triggerHandler("hideAll.smapi")},menuHideSubMenus:function(t){for(var e=this.activatedItems.length-1;e>=t;e--){var i=this.activatedItems[e].dataSM("sub");i&&this.menuHide(i)}},menuInit:function(t){if(!t.dataSM("in-mega")){t.hasClass("mega-menu")&&t.find("ul").dataSM("in-mega",!0);for(var e=2,i=t[0];(i=i.parentNode.parentNode)!=this.$root[0];)e++;var s=t.prevAll("a").eq(-1);s.length||(s=t.prevAll().find("a").eq(-1)),s.addClass("has-submenu").dataSM("sub",t),t.dataSM("parent-a",s).dataSM("level",e).parent().dataSM("sub",t);var o=s.attr("id")||this.accessIdPrefix+ ++this.idInc,a=t.attr("id")||this.accessIdPrefix+ ++this.idInc;s.attr({id:o,"aria-haspopup":"true","aria-controls":a,"aria-expanded":"false"}),t.attr({id:a,role:"group","aria-hidden":"true","aria-labelledby":o,"aria-expanded":"false"}),this.opts.subIndicators&&s[this.opts.subIndicatorsPos](this.$subArrow.clone())}},menuPosition:function(t){var e,i,s=t.dataSM("parent-a"),o=s.closest("li"),a=o.parent(),n=t.dataSM("level"),r=this.getWidth(t),h=this.getHeight(t),u=s.offset(),l=u.left,c=u.top,d=this.getWidth(s),m=this.getHeight(s),p=$(window),f=p.scrollLeft(),v=p.scrollTop(),b=this.getViewportWidth(),S=this.getViewportHeight(),g=a.parent().is("[data-sm-horizontal-sub]")||2==n&&!a.hasClass("sm-vertical"),M=this.opts.rightToLeftSubMenus&&!o.is("[data-sm-reverse]")||!this.opts.rightToLeftSubMenus&&o.is("[data-sm-reverse]"),w=2==n?this.opts.mainMenuSubOffsetX:this.opts.subMenusSubOffsetX,T=2==n?this.opts.mainMenuSubOffsetY:this.opts.subMenusSubOffsetY;if(g?(e=M?d-r-w:w,i=this.opts.bottomToTopSubMenus?-h-T:m+T):(e=M?w-r:d-w,i=this.opts.bottomToTopSubMenus?m-T-h:T),this.opts.keepInViewport){var y=l+e,I=c+i;if(M&&f>y?e=g?f-y+e:d-w:!M&&y+r>f+b&&(e=g?f+b-r-y+e:w-r),g||(S>h&&I+h>v+S?i+=v+S-h-I:(h>=S||v>I)&&(i+=v-I)),g&&(I+h>v+S+.49||v>I)||!g&&h>S+.49){var x=this;t.dataSM("scroll-arrows")||t.dataSM("scroll-arrows",$([$('<span class="scroll-up"><span class="scroll-up-arrow"></span></span>')[0],$('<span class="scroll-down"><span class="scroll-down-arrow"></span></span>')[0]]).on({mouseenter:function(){t.dataSM("scroll").up=$(this).hasClass("scroll-up"),x.menuScroll(t)},mouseleave:function(e){x.menuScrollStop(t),x.menuScrollOut(t,e)},"mousewheel DOMMouseScroll":function(t){t.preventDefault()}}).insertAfter(t));var A=".smartmenus_scroll";if(t.dataSM("scroll",{y:this.cssTransforms3d?0:i-m,step:1,itemH:m,subH:h,arrowDownH:this.getHeight(t.dataSM("scroll-arrows").eq(1))}).on(getEventsNS({mouseover:function(e){x.menuScrollOver(t,e)},mouseout:function(e){x.menuScrollOut(t,e)},"mousewheel DOMMouseScroll":function(e){x.menuScrollMousewheel(t,e)}},A)).dataSM("scroll-arrows").css({top:"auto",left:"0",marginLeft:e+(parseInt(t.css("border-left-width"))||0),width:r-(parseInt(t.css("border-left-width"))||0)-(parseInt(t.css("border-right-width"))||0),zIndex:t.css("z-index")}).eq(g&&this.opts.bottomToTopSubMenus?0:1).show(),this.isFixed()){var C={};C[touchEvents?"touchstart touchmove touchend":"pointerdown pointermove pointerup MSPointerDown MSPointerMove MSPointerUp"]=function(e){x.menuScrollTouch(t,e)},t.css({"touch-action":"none","-ms-touch-action":"none"}).on(getEventsNS(C,A))}}}t.css({top:"auto",left:"0",marginLeft:e,marginTop:i-m})},menuScroll:function(t,e,i){var s,o=t.dataSM("scroll"),a=t.dataSM("scroll-arrows"),n=o.up?o.upEnd:o.downEnd;if(!e&&o.momentum){if(o.momentum*=.92,s=o.momentum,.5>s)return this.menuScrollStop(t),void 0}else s=i||(e||!this.opts.scrollAccelerate?this.opts.scrollStep:Math.floor(o.step));var r=t.dataSM("level");if(this.activatedItems[r-1]&&this.activatedItems[r-1].dataSM("sub")&&this.activatedItems[r-1].dataSM("sub").is(":visible")&&this.menuHideSubMenus(r-1),o.y=o.up&&o.y>=n||!o.up&&n>=o.y?o.y:Math.abs(n-o.y)>s?o.y+(o.up?s:-s):n,t.css(this.cssTransforms3d?{"-webkit-transform":"translate3d(0, "+o.y+"px, 0)",transform:"translate3d(0, "+o.y+"px, 0)"}:{marginTop:o.y}),mouse&&(o.up&&o.y>o.downEnd||!o.up&&o.y<o.upEnd)&&a.eq(o.up?1:0).show(),o.y==n)mouse&&a.eq(o.up?0:1).hide(),this.menuScrollStop(t);else if(!e){this.opts.scrollAccelerate&&o.step<this.opts.scrollStep&&(o.step+=.2);var h=this;this.scrollTimeout=requestAnimationFrame(function(){h.menuScroll(t)})}},menuScrollMousewheel:function(t,e){if(this.getClosestMenu(e.target)==t[0]){e=e.originalEvent;var i=(e.wheelDelta||-e.detail)>0;t.dataSM("scroll-arrows").eq(i?0:1).is(":visible")&&(t.dataSM("scroll").up=i,this.menuScroll(t,!0))}e.preventDefault()},menuScrollOut:function(t,e){mouse&&(/^scroll-(up|down)/.test((e.relatedTarget||"").className)||(t[0]==e.relatedTarget||$.contains(t[0],e.relatedTarget))&&this.getClosestMenu(e.relatedTarget)==t[0]||t.dataSM("scroll-arrows").css("visibility","hidden"))},menuScrollOver:function(t,e){if(mouse&&!/^scroll-(up|down)/.test(e.target.className)&&this.getClosestMenu(e.target)==t[0]){this.menuScrollRefreshData(t);var i=t.dataSM("scroll"),s=$(window).scrollTop()-t.dataSM("parent-a").offset().top-i.itemH;t.dataSM("scroll-arrows").eq(0).css("margin-top",s).end().eq(1).css("margin-top",s+this.getViewportHeight()-i.arrowDownH).end().css("visibility","visible")}},menuScrollRefreshData:function(t){var e=t.dataSM("scroll"),i=$(window).scrollTop()-t.dataSM("parent-a").offset().top-e.itemH;this.cssTransforms3d&&(i=-(parseFloat(t.css("margin-top"))-i)),$.extend(e,{upEnd:i,downEnd:i+this.getViewportHeight()-e.subH})},menuScrollStop:function(t){return this.scrollTimeout?(cancelAnimationFrame(this.scrollTimeout),this.scrollTimeout=0,t.dataSM("scroll").step=1,!0):void 0},menuScrollTouch:function(t,e){if(e=e.originalEvent,isTouchEvent(e)){var i=this.getTouchPoint(e);if(this.getClosestMenu(i.target)==t[0]){var s=t.dataSM("scroll");if(/(start|down)$/i.test(e.type))this.menuScrollStop(t)?(e.preventDefault(),this.$touchScrollingSub=t):this.$touchScrollingSub=null,this.menuScrollRefreshData(t),$.extend(s,{touchStartY:i.pageY,touchStartTime:e.timeStamp});else if(/move$/i.test(e.type)){var o=void 0!==s.touchY?s.touchY:s.touchStartY;if(void 0!==o&&o!=i.pageY){this.$touchScrollingSub=t;var a=i.pageY>o;void 0!==s.up&&s.up!=a&&$.extend(s,{touchStartY:i.pageY,touchStartTime:e.timeStamp}),$.extend(s,{up:a,touchY:i.pageY}),this.menuScroll(t,!0,Math.abs(i.pageY-o))}e.preventDefault()}else void 0!==s.touchY&&((s.momentum=15*Math.pow(Math.abs(i.pageY-s.touchStartY)/(e.timeStamp-s.touchStartTime),2))&&(this.menuScrollStop(t),this.menuScroll(t),e.preventDefault()),delete s.touchY)}}},menuShow:function(t){if((t.dataSM("beforefirstshowfired")||(t.dataSM("beforefirstshowfired",!0),this.$root.triggerHandler("beforefirstshow.smapi",t[0])!==!1))&&this.$root.triggerHandler("beforeshow.smapi",t[0])!==!1&&(t.dataSM("shown-before",!0),canAnimate&&t.stop(!0,!0),!t.is(":visible"))){var e=t.dataSM("parent-a"),i=this.isCollapsible();if((this.opts.keepHighlighted||i)&&e.addClass("highlighted"),i)t.removeClass("sm-nowrap").css({zIndex:"",width:"auto",minWidth:"",maxWidth:"",top:"",left:"",marginLeft:"",marginTop:""});else{if(t.css("z-index",this.zIndexInc=(this.zIndexInc||this.getStartZIndex())+1),(this.opts.subMenusMinWidth||this.opts.subMenusMaxWidth)&&(t.css({width:"auto",minWidth:"",maxWidth:""}).addClass("sm-nowrap"),this.opts.subMenusMinWidth&&t.css("min-width",this.opts.subMenusMinWidth),this.opts.subMenusMaxWidth)){var s=this.getWidth(t);t.css("max-width",this.opts.subMenusMaxWidth),s>this.getWidth(t)&&t.removeClass("sm-nowrap").css("width",this.opts.subMenusMaxWidth)}this.menuPosition(t)}var o=function(){t.css("overflow","")};i?canAnimate&&this.opts.collapsibleShowFunction?this.opts.collapsibleShowFunction.call(this,t,o):t.show(this.opts.collapsibleShowDuration,o):canAnimate&&this.opts.showFunction?this.opts.showFunction.call(this,t,o):t.show(this.opts.showDuration,o),e.attr("aria-expanded","true"),t.attr({"aria-expanded":"true","aria-hidden":"false"}),this.visibleSubMenus.push(t),this.$root.triggerHandler("show.smapi",t[0])}},popupHide:function(t){this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0);var e=this;this.hideTimeout=setTimeout(function(){e.menuHideAll()},t?1:this.opts.hideTimeout)},popupShow:function(t,e){if(!this.opts.isPopup)return alert('SmartMenus jQuery Error:\n\nIf you want to show this menu via the "popupShow" method, set the isPopup:true option.'),void 0;if(this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0),this.$root.dataSM("shown-before",!0),canAnimate&&this.$root.stop(!0,!0),!this.$root.is(":visible")){this.$root.css({left:t,top:e});var i=this,s=function(){i.$root.css("overflow","")};canAnimate&&this.opts.showFunction?this.opts.showFunction.call(this,this.$root,s):this.$root.show(this.opts.showDuration,s),this.visibleSubMenus[0]=this.$root}},refresh:function(){this.destroy(!0),this.init(!0)},rootKeyDown:function(t){if(this.handleEvents())switch(t.keyCode){case 27:var e=this.activatedItems[0];if(e){this.menuHideAll(),e[0].focus();var i=e.dataSM("sub");i&&this.menuHide(i)}break;case 32:var s=$(t.target);if(s.is("a")&&this.handleItemEvents(s)){var i=s.dataSM("sub");i&&!i.is(":visible")&&(this.itemClick({currentTarget:t.target}),t.preventDefault())}}},rootOut:function(t){if(this.handleEvents()&&!this.isTouchMode()&&t.target!=this.$root[0]&&(this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0),!this.opts.showOnClick||!this.opts.hideOnClick)){var e=this;this.hideTimeout=setTimeout(function(){e.menuHideAll()},this.opts.hideTimeout)}},rootOver:function(t){this.handleEvents()&&!this.isTouchMode()&&t.target!=this.$root[0]&&this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0)},winResize:function(t){if(this.handleEvents()){if(!("onorientationchange"in window)||"orientationchange"==t.type){var e=this.isCollapsible();this.wasCollapsible&&e||(this.activatedItems.length&&this.activatedItems[this.activatedItems.length-1][0].blur(),this.menuHideAll()),this.wasCollapsible=e}}else if(this.$disableOverlay){var i=this.$root.offset();this.$disableOverlay.css({top:i.top,left:i.left,width:this.$root.outerWidth(),height:this.$root.outerHeight()})}}}}),$.fn.dataSM=function(t,e){return e?this.data(t+"_smartmenus",e):this.data(t+"_smartmenus")},$.fn.removeDataSM=function(t){return this.removeData(t+"_smartmenus")},$.fn.smartmenus=function(options){if("string"==typeof options){var args=arguments,method=options;return Array.prototype.shift.call(args),this.each(function(){var t=$(this).data("smartmenus");t&&t[method]&&t[method].apply(t,args)})}return this.each(function(){var dataOpts=$(this).data("sm-options")||null;if(dataOpts)try{dataOpts=eval("("+dataOpts+")")}catch(e){dataOpts=null,alert('ERROR\n\nSmartMenus jQuery init:\nInvalid "data-sm-options" attribute value syntax.')}new $.SmartMenus(this,$.extend({},$.fn.smartmenus.defaults,options,dataOpts))})},$.fn.smartmenus.defaults={isPopup:!1,mainMenuSubOffsetX:0,mainMenuSubOffsetY:0,subMenusSubOffsetX:0,subMenusSubOffsetY:0,subMenusMinWidth:"10em",subMenusMaxWidth:"20em",subIndicators:!0,subIndicatorsPos:"append",subIndicatorsText:"",scrollStep:30,scrollAccelerate:!0,showTimeout:250,hideTimeout:500,showDuration:0,showFunction:null,hideDuration:0,hideFunction:function(t,e){t.fadeOut(200,e)},collapsibleShowDuration:0,collapsibleShowFunction:function(t,e){t.slideDown(200,e)},collapsibleHideDuration:0,collapsibleHideFunction:function(t,e){t.slideUp(200,e)},showOnClick:!1,hideOnClick:!0,noMouseOver:!1,keepInViewport:!0,keepHighlighted:!0,markCurrentItem:!1,markCurrentTree:!0,rightToLeftSubMenus:!1,bottomToTopSubMenus:!1,collapsibleBehavior:"default"},$});
\ No newline at end of file
diff --git a/docs/manual/logo_small.png b/docs/manual/logo_small.png
new file mode 100644
index 0000000000000000000000000000000000000000..33030fb11384d32caec8eaba448fd38584424a07
GIT binary patch
literal 10855
zcmZ{KWmFx@w(i0f?(VSA5Zv9}-JOL6cXxLWE4Ty=k`P=H+=B*pcXxl;`|Nkld3W5`
zJ*wyIIlpg8RsHE66{D&wgNj6i1ONa~<zyw*|47ll1_JQUv(naO6##%jv6YZem6MR5
zP<3^(vbDDa00=THOile$bybslwmUnMvvt&QwogA}U=o&ezJ`WGh^2=RM=xNd#UYcx
zK>HH}1Eh;Xo#qG##I7xklJy{$-cZ)^A6(dzUje-rLvT_wC@AqzqK&RTa!}Ezy(l0l
zQ5mQOQVLK0a3T0!<<PG@!875od@u_#!S)f<)SmoU#2@exzT&|MDHItXhNk{TO7<hn
zxk6@$W1r@b#~}%!Os!o1lv!0)Yzj67cXtAiOrj6RU)P;2a0J3JM)JoyO)nxsLVQ5t
zjJ8BDJ-41fV2l6)TSf#5%5yae$`Ug^H6Bf91SACVjwvBzW7-u6T$Kd^H;_?K3?~8B
z2Qq5pkcR9()8lQaD`%yo1Yr21BLLu_umCWBG^jr}0E!3z_qPrJ$U_nTTUUpo{|5sN
z07TgWVE@7B|B-)PrhmpC_CFH30Q%nu(E^zN=zkCZ52LQne*~hltezVHfY$rhfXaA}
zMhpNz=h$lMy6Y+_@>@7LFq?s$%q^L{9i0DS0R+AI|ELa@?q(F;4)%_2{N6&KzY+X@
z^uNq3Ad0^s?sh^TT_sft2`5)e3T|drW>%0e5(Nc?pexvlUtLoAANrp+A&`x`yE8uv
zi<g%dvlj=mldClg8y_DZ3oAPdJ3G@K1e2SOqq~_mlcO8ezk>YVIFgob7Ou9=?zT>j
z6o17vGk5ZE7XpF)O7!pRUv;|MTKy-JquW1i{b`WpFAobFGb_vgMzi#`{r}MZ^8AbT
zcVGWXC-_$|em!+dHz#|KzseHk;}-lo!~bLaPksL){0Fb)XzMP_{txAUnExkB_dovs
zr1@{-|0Jlm+FJgZ$iM4i`zObL+x`pxS9koXw%(TZx{|gImX2<J^}@r=E6DP{dj40Y
z-v5{RU!H%Mf-HZn-+!&=zc$O?)<3&N7)g-j-#bqj$v$Dl6ab)^k&_hD^oH8;gLl`m
zY&;jfTQ*M3UX|c~2P<2M041IVG9^sw5*{SR_!jS^+5gGMmvD)fe=C|F3B3=RpB7J5
z@-rlu0z+Na=`-Ek>hkIc-(B9-*_k+r3{=3;Lr%l)+blodUfxwk$6eFYEA;uBPw{KU
z{gog~=gmPJ>p6}T+-t`9GuZA5pouz;%<_#wOG}GOELp+-^}^(3n<ThRIRdYQ-v9bD
zWZ96A7@-`iyGI}yMi~R=0w!U+i=2GrZ0tS_8}O|dkaG52H*k9WR%ntOXF|A`6e~a&
zQu>iRpO5AXbPA6qB_=}<2;`s1D6&f&dfun4;TCf8WS_`X+p0&F<?B;kVQso6j2GDP
z>*uYC(^Woct(^oKMhYcSLgaq*+qCC9zUNgq3H$gq?}tR#1B_L{1&1l}C#*)ab+>K<
ziN$I!z51_%N9gCwO|lqZQO2!}Ge40#X^vay7EO1N+aP8Uk^Ig9!@%6Pm&`ZJ2uyEE
zGbKsbf}+@(+C3@!lqaH8<ew6~8(dsmQ<s%QG+KI0G=pi%FrIVm#*vxyO0&V82Y9}t
z%B-7xu)2^M;AG~2vbcfFp8Ql(T^)P)a|RAojm#W&qS#K%5#rI&k;Jk@|6B5H7;i9z
zmYxw4L=?p7;$iu<o=7}477*PTnfDFdWM;MIxtlh{?lo|+DL{$&=9zr6_<`<8BMw~j
zeWfcn^jllV%%|Xw??wC7D3H^_6a=7!KNdct5%2e-G8k(3Ki@AjKU`VIZ{!rVT#$x@
zWQ$e-dA31{g=a+1qRdl2R_?l&&R$=Pq1PpwrEO%wJe!`f$fEpm(-3<HLvw_bs`()p
zgs(iIf_lkSPfIM>MemciAM8H<T0d>ER&F(<PW28GZpzqzugJmqxw^qE)4H-wJ`rkC
z5*(Zl=eZ21Uqj~(<0c@^7kvu52Gk7s`|K)$-Tb^}TW*cB#Zh|Y?-7w;Y1=WIq1(qZ
zr%x`cn!H~QrT|BBG4X;V*fq;xYrMyI9kbhhh#0A0!|EQZpb`ezwHrc-kicaqhA>pT
znEe^LagQ}NYyB~G!wIqArIn?lGg(MBItBn=0=4F0KfP(~6n9J^8FBrw4790vX`zu}
zzI-YwZ{QckqQis}Hh>)Yx>~S$T4+7~3ur0XZ3nLL`EJFP_Vj7D#vPL>XK8lLDK9l;
zGTsjJr6+0Wr0J*i*AAa}I06!)DAsCBtM`&#IgW>moOX}f8L+f<Y~cjpJcWk$SOEAa
zUHjgh);Ece<C>?ZD2RDxW|2EE#BILQiST!wS84Ak_~nNX@52Y^@_2kO5U%UATSrB&
zlt#Kd=p!Z-Hd0ts6tL@g7^?{Rm^Sll%;;(~%A}sCgzk_CpvyyD-UB;l+(DwArk)>Y
zKb?@DnVE?^V)ua;6<Wkj{}eDLGBL53Hn%X{bU5j?Dy(_4w5A+1ei-OhJ%o0F7bRk*
zs&aR8eRbx64xGc^8NF#<Iop8XhU?Csd)k%+=s_EPCYfC9hM{^iS#jd&<T55_@@laW
z3x=|ufHxm$KEFw9G;K{bnwjFL@3rB)%Ol?Xu{b}$5@2H$D<9on>&50uNCRv=lsH<|
zyNV7Bwkf%e?%T;HqAkp~XOv~(_%zy{yeCjxgq8Q!Q|tH&fGYc7X9v?zZm(n4IHFLe
z9-d{O!!M8I#($T~%l6pq(4-_($kXvm_XR%IURnDykAgWhv@;SPhJbs~+^PdI_3-^p
zLM{w)?A27#h9T^@LhC{%4FC$7#a?k1GM$SA<QRT00oTsh3qZd>Oran{kBaQ4b+mDh
zCnMWeFlw-$Oz|^b&b(JtD{|}H&7`!OhB@Qfk7p5~r5}m=r61z&UoapLFNwODSiiY#
zm&fn!X{ik<@>)55UY&3SNM<_E*?LwuB=0^-exJaG+nHK=yR@204LxYI8!6>;@gGn5
zc)HwgMm6f@8_u}})3ge^eiJGxA2w{Ux#Z_dabtLBm~%AWc6O^Md)Y_x>e7Y<#e9o3
z-M%CfGKR8W7fN0dgLvO%UKgUt5Tcj?Sa!sp&lyt<DxBJ^XhOinER#l!S>idrkYc+O
zvr=8(3(YC1?f62Zv_$--OCGqy!3le}Odw7MmrbCH#M$0i>}@dG+|cyVVad+ZgyYTI
z!)jZ1I9nzSP(xds5m=@JD3->!???`BJ9AzF%)FB||6PFlb=|q8%f3O5nK8oL^OGkH
zG=`MKq9_RyL6nPMJH<XcVd8lkrk*6kW1%bdl14&YRx9P?^Y^v)rIlwtq~Dy~oa#0-
zi#aLqKCIEp->uUTKPWG13Fh}+C(<Gt8fQ$L=%bi4a00t6_;;xXjwo{Kf+IsE0Knr%
z>4noQEwS8(m~5}W$K^CHMzT;puPD?{ivC5KpJC#trfcS0mCJGyk<&ut1b{bZXVB5Z
z(1cmK1+bJ5ENpB#XT<8aUm}^7s8bcdogm7rEU4n0Pjep($O1Q4VDk9br8n6UG}4!b
zv;9%9^HP}&wApX=^Miukut>x~Efg-vm4zm+ing@hPzw9v#?hIP_L+DtJ?EeoPn63#
z;uV8eSqIofUBuQyp%9Ry@Z=efwlg-OKHH|PiEs!M!VFk^DSGc&fs8BMbdsPnhn~vQ
zBYjo7RwZ<|9Q0B>%o9-;_t`az9sRD$d7L#(Rg)ptMBhDdoLh-GmWXZAyR9Cp9Rx)S
z+%$4-{Bm~x+B((}RQ`(7$%!V<k1#zoMIl1t;{4byrQ`6!s`LjmDG2O>hS~u5#J8P;
zlRw9Nhn{2;ZZ*JII0IER3xJA4g(hPe_>O|k2pY$@BEyLe=cGYIhA~q_VPz*oz|s)b
z+}#%Ot+Q9Rp>tXYpkUPR95!xlK_oo;CaR(H=0`ruxqL4<BLnDw0br^Rs>lX+SE0!M
zddKK<8`6+~Z-&$*j&OJ4DFvN8hOM@c+^4o%-?m3mYu9S)teL%i_i*f5@oYL7dK74)
zM`W9S4ji!qer`aX4!{+xwHKOcH4=2}&=ZWe3i6J(sJbnP#Y0F}|0YU{rRpCHLv(`_
zfo6$OEY`NtMVv5O@M~+Q*a9RqRqu|_+Ygib@j>>g)iQ|s-0-_~P<VQ3Mu79xX4rk2
z&>UC&4p`zUvgSt@PSSwI$7mXBYdjo5w}GM}JO<iG`q7b7;ZJ9=un^HoH%XIy*VcQ&
z2R#Sy1je|`XXtsC-Q+NrLKC=CK?KJ_da3-`kCt{v_o9^?WpMny(1C5(o8dU5*oERW
zGEmston=h`9A#jLKH_Q^ooGZG-40B!BEUF_c<c`4(t_E^R9!tMdN>;?w0<;T!7cX8
zxdDZmP&d$CA$%r|jGoP*cPq_*(pi|Vj9MXET+J9&KQ+Tci3Ta6xuu{WxCIN7nHVKS
zthbMbl5x*E?NnfX{%+kMe*g<waoC7lbUT8e1_?3F!`=Oy=7xgWe$Do7J9~_4F6Jq6
z`gw2hrGA8lQ85~Wmabm|m<{jCdVb)-W~vn#@}2=H=YowDlqyk{AJxi+%;}jF%tH}e
zG$sCFY#T>y`~hk#==S|b2gl~dvci+E9NgM-UtKC*9@GkW?AMs3cw@@o;}pI>i4RgK
z5>bmnRJkJ=7}2{TstuZqJ&S9>aDx=W+<FGlb$srJRowOqkpx#pvas<ceSvqbWmXm?
zM#U9aIy#!7eo%d*`!l%n($Yx^Jv;SHcF9WV2-Iq7lctiyzbd;a3XtH{C=fvU0QKLQ
zk`IXIsqc3vQjjSrunOtD3ww^jI0mu`tDLc_-sOu0c<zU@QZmNs5dJ#zvrK8qfO)RI
z6?xwgv2-Mb+%%i2bS+Z<g<(}VTps8yOpUbR7x3pJOxn+{4dM)S+X8N5gjf8^1K$Nn
z${J7X)?~ZV_2C;(-(+1DeM`i+gnTWh7u`mN;0lskkrVR4ZfU2yeZk{amW-qS9kH@s
zHBW<7@Y!`4pGa2(My!4^GVcn5l{lnMuWL;N);NyPpNw4Jm8d9PUX~>bI-e^+^z7j3
z_styh-ibwV`o@;f(M<fn`r<?132ZiLYpSWw54P~Ig>`qg4;hszDU>}b;44X4L@GMG
zvg9A(8iOxOC#fumP;vuqD^zmkXjKNs>W*`ZxT|d<LYT@5k|=#q51im`ION`}!^7k_
zKL6GikFhP4&to}PQAzP}AdV@@T7TMTZ0uk>xh{+EQOVn*K+|ig&IHsjCqwl3Ay`EP
zp0CnE&a^_(5&JVO0jxD{-OHAitS8@;SlK^grz<I0KMpYRS&$zaR;Q1Ia+o}BGhE|0
zt5j(RUVU=o8*|T~BZ&OL+KfAR390oKEg-HZplN5#S{FAqsx(Rk%(JC`${5~<P2#m-
zRLqPEO8K~p{<xx^KaNye%i{Jy73zal1=gs63kQ6EE%IWn$d-YCF5Kge%aF^&)FM0?
z%C%K(9y;R|)U0Dvff#(1F|z#~;A@#du$1MV#L3z8T<FgZY=T^}7<ORQ5Xy%P*i!8p
zK=uM$!xLJF#WJI@E(CA?!)f~`J_D-cXsr^W?TW|*;svm@X;o$UIsyJxW_iy$2l3GB
z&eoFUFRd=jvLW>?EqaAw=1TU*Jct*h(57WE)G(*vQ7rN*<R648ExvqFkt6lYpIBTz
zY4MnVoX54E5(>z3oPgE$CMK|h?MD+n!CpX?zv|}{Xd-RIjjM#3Im4DRWg&iK6M~I&
z$Ea@;Z7(J1Uh@W0k9>qtd>6W(xe9kNUK<q*fj6<Eo0o|!bUtC<=bMIoIt?IZXP65P
zm?eoG8w{pSf{#=oZB5wq?imQGr2Qc*=z1-&*Z+cA$A%ne>0{-qo(kR>&Uo!Os__c{
z{=9yE?mS2+Vfm74KPiG)0MwADf1>=jOE^B79==}^ZAxjwV3d*J*3QPr^13~ao&{rE
z*ek6dLF??hCQCEUDt-2KHZ8tXIT&rUxetmx1FOz8t?=$%&ql-_YZHGI7LtQ<D02#P
zGpt1s8w+1d2N2@MhiwO>v}jQJt^f-%KZ-rxj1=yqg-z7?vET@{!|qp+u%ae~dU_i|
zM4F<>Psj`hQ8^VP)4j1MgMnmQ(3rxl+TU5%FGe2PbgDt6EW?LxwXPLA=s4qfZalBr
zSeCMi+=LvH;&sY_zYX2}jJTIJeaWxXqgaxUuGleloy8gzf3s8Z>}9&LX+>>RHD40z
zb2WWGvpsaTqjhWSC=zAbxmM2atW||Rau@YBq`pttX=qas?_K;N>a(Pe0qae0OdNWV
zhk36TkA#DSS?}+OHP-UN+Q5qs%g1N>S_yP_5=4LZ{=FDcKJ-|KTJk$B)5Fuy%cASf
zi!|$ql!u7%eiJwAVv{wm=F<beQCvuII1=DmGK}E;vccK8@M@oEv&Sfc8Z-WO1$AQT
z^0Cspn3OZcdmh-cWWpTL)dP2C{%&WPz^$#q5t}_T-J}XUQV{`y9N+Q%d&2iUI5N?F
zN<o5#<geK!CASBp0ShSSIZa;lT>A6?;m*raHYR%Ptx3AguK3e;Va5d@4XDip8Vb|U
zi3JZbt0If*`&e~^@}90ZkXl|I!V9U<dAJoi&T>13<~zdmA!g|5NsWTR$uM4Fs2hG{
z?P5Z~JlH`<I;{1QeyoP}g^91FT19k}&(H~BYQh%<A>Ssy7bupdld%gIl(JFAYZSGK
z#e}YGf#VEfyc1hna`Q4g#Y)=cAI=-yfL%)Q8uRFrao+aY<t;19se@Z1OE-CQTe991
z_R6-GcBiEuffdQ<$DMsv&sOzZ>DgQK3_8aaLd;*N_)yY387oPAz_183=IddMz*{Ky
zX<iJ)aUlOY%+X?gSsvZ>M%?ck^@@nKC{)Q*zN%ig-NiHu&TB94O_#6*OdnygMTJWU
z+B<4PM7arBDd1xikz6A9)^8u^;bQUUNf&ZPx?q%|>IFe(QiesZ!mN*(0yo-_y{qr$
zP|+YPkm!1Rc%fU*XsNX^-cRSV>ZPx1fjAzuz#c~^D+O`(t~z_Y?4%*W8RBNfHVLd9
zcMbElG<AdsO#<BH*<9OoqOpdLjkhSfU9BF%-NNar7!uhIoWEGVf!xgo6dfynZHKXC
zlPgNoLHw@Qg^ba0KuNDGIpnilH-z6NqGmTTYM>xVViP3s(AcbP*ZJdT(73V6_Mtc#
z>lm`#pb*BQS^?-i0n`a@)3A%JfC;~Q-Uu{ca8k^LuFPc9t|ly=eS6oD(Zt4HcjpI-
zK1M3gYvkN6fG(PXnOT}-mjjr!B(Np&d_5wCANd<8T-BJ&ch*m^f}4k5(U%IJ8GCx8
zoXmj{UVoV@$&BPXBVORLeMD)^DXe$Fhp!;Cy6aQZkO6ZSIePhRL>-riKDggGvfv|A
zjAxtiYMU{|xePH@CfrbEbO8T{!)Iz6qTk}NJ&4S;<iEAwD}G7`gwZXtva=!_(4#Rm
z8|%MnM(fq%vBzFgG|`jyy5bhVAbNIuBC2tMWw@_MN57O`ho!VsOlI|&2WQWqPHu4{
zNkT{WN}|TG5~I*YON$Rkedz*!>zvqk9^{+)uvQYTO59EET;_n4uCy#YT!^Ewe<F%;
z!s*lmIB^RbI4hKuj>e2eJ@+qZA}VOGznM^-z>Y?(gT!==2sjqO66|~Pp?EHnx%)Fh
zF1ew}2@yeTHDNcwfYRO`KFauOR0%5xv>_0tU<dkag5dmnT-RqA^D-H;Iyh`*ZtUhs
zwYnn2j0nHUj;+oZ(DoHuc{??MGJL2ZAS^mgiK!@Iqx@Vkz@nYnFc$VU7(RoQBQ~#8
z9%ywfMNhQifRT_wNv#Hw1R|)hiZhFRV!@?oImVROW2#!S$M~krAz5JLm1y_!?o$O;
zhWO+q`4_y#uG<rkD110JGGl$b_C0Gg6Fa1Qc1!8mM?|Sa(&7g>B8Dir=)@Br{n;be
z1ji(}n30FGv1@o|2aumA&SaJT+vdsPNjQ||OJ-51n}kV_z;-$#0Npp@V?R~l7r4?;
zbLQc<q3L9#V*lBx9h^8EOr%~%+D=M4Bbykr*d7fqG<y8u4q7z}g@$andLkSpsP^Q*
zDio_kw?>n&)L7>MZu!QIJ(|ihpGq5W=2_g+v2!DpN9y(J(S$JSt9{6=Vf0IznO4B4
z?z1z}XUpvs3F&HOMVx@pZ@dFvQAkT~;h%+dC@6ILX)5_b@NvzWQJ~Aqo{MzP2Wmn9
z3@xT+h>8;5?@wR1l5z3ToL1{Ge(<lr_D^C`Pq3&KBAAZ99~alWfG)`R;Oxa2p{S|5
zYLB3z2<>CfiNf}fjLCtWfO=?(>4a6OX+=(qg1OG3Wio^TKOH^vV`t}R#ANw-UO_yT
zi*1NK#B_9{vprY8y$DQ1U0Uj3jHl8fM;)g_0S4k1T}gB=LRkBPl0F?5<$BdT+8Mc(
z$$ps*g{G>P%}~$JO7R<@`q_S}!2WfG7}s3jXFk{TBxVd`jL5S6han&A!$l#c?654V
zZ4lXrF_dIHL_@_5d$2S^JkW((@O4nYc_o2QRaZT>rOkfd$uT%d#1|j@&PO)5Wqs<X
zYc&u_@^W5vlPlT>I;jV(=6iKPb7MR?5l1jDcd0@FiuL@r3)LDIuse=?GKWS{kI5kk
zXD2fH>hl1H(n+jZE}CodNihzRg8GNUQW2+zohMveTu!k(d#h-`b_g#<@Xr3{{qvuN
zpS*+A4X>FVT_kF{2zgul`zz6rk?7}oI|WP>C^7L_t*mPq-vw3*%FkHU&%4plNnHlV
z(gjB-SLjEq79ceT@+>;h4Sv0iVubZqCR6mIK)IbIiRwUw3=c~a2ki^V8V6zzrm<5*
zZ`4^g!z<D6a=W>Tk%=INt6`QW85RIVqN%ZdR2QSOkL(5QY|+miks}XX*|2xwMXxik
z2@fj71q?;-QV-CK**l!&jKJMrjm)jK_$edp(C}*N=mh10o))pG5mKZpzm$}eF#2#4
zNY|P32t*dP2KR*!JZgs{cq|#@zxP)cP*7hkacKSZyfNO*e|PM6c=)bDEVoZefP-DE
zm$j2`nKe=VJ--@UyC_O=tq8mt&kAbgvu$t@x>)=Zj9_WcSMt?PzIm9|@wLeCx+4nu
zkKNvG=-~9-P(}tIuO;v2M^-SI&7PeAu%gc3ET=kS*Yie1gD_U6@w6Is&hY0%;8~-C
zc?-4i<7mHX<6r`%FId;L4!19CEs>-S(*wWDp$Jp_O@nGMO_0K;g2NZ9lA)e`;y4wf
z@*!6l<q)c<gh81$9%aE~*z643m`kQs6Tx5{{cwLfe1CmEW_n$cX-%I8VeZWwRWVxx
zpWh@1Uvql6^YWCLAaFyDK;V%L66vct6Cb*9oXPt9iZ%hd9NtDD5cq~K|M6E8*Uu%`
z01xT&L=@41M3LZB>v=b&YR$v+=NAR;XPq=%FX7&<rk^jK2sN$=k+ahmAcr$m)03lo
z8D_tm9@`#igZ{*qCkc`#hiydWHA;XF;*8DqS2;_NjJmNt=Qf=QJu3uI;}@9u=z|iU
z+QYis<9Yk=GYAUH();-NlRz5@nR8bBa#g+V{#!dPnYSw`JsWcUTlF}F#}M>-1UrVs
zghZ4~$j*FO=k;Cipe@|hf<*8;GgX@1P}R!F@PoJlpCD9fYs>D(Js#1uO!A)L{FPC=
zC%<rREoy4~48f8v6wNt<pAA?9fKAaJqFgo%svE*;l3X07N58pp2Z_K+F+xnt`DWh+
z_`b)~X5&kmI=?|qtR{MS=9plD!hBdUawokr962~$7XU&gQ1Fh7mkefxD3W8*AmhvI
zqJ~z{-8f2O91hN2t+z9-oKE-qpw)yd9<m)?JR1*^L30gJyflEBoD{|Q7?iCix9JZA
z@I}SG=hodeBSv3ID77If-D*vDEE&wm`!m3p!(EWaB|(Nj$37pw)4_WBn>RaJ*Lw7-
z@6)a2DXwpaYNhH0LyWpQM#f-w{;UA<R`E>qofHVO{O1z0900^JU)~*$QWYF*k6&Jb
zjfjiMa;<q>6}zmiy?YHG<}anyc7HqrCj;YX0^a;6v!)Iu;BGZanNrZ?x?kb2esBm)
z=A{>cAV*c4g5g4;s0gEW2~M^$hogH>iZe7K8Xle^SvbO&8X^dN71iisQxk}K$n8L>
zob_g!EtRF-SjGHsxMcE;v#Gz~<avd6x1~Jx`8k;^&RJ&YVBa)Z>pr4`4(M_wFUd$A
zPegQx_D-(%z%J<`8{A9{B^wo^$RJG|$rp2Ye;axTK%`o0dBU?RB1ossg03EB#y%8p
zEeM=EYijA6qDebleCDO)KY2nY!B_c|a%5us5ml({sIZ}eECZB>B<4VuGBPoz69S7}
z;#!Y$c}=Y<NfGkd+}Tb>jG_B;@d(O$o$B4`+WfPp_1rn?iZr?#+-2{(lgL2Q>DQ)T
zg>EpA2()*Wzeco%rxa6I)UXJDfX6hK5=n_$G?d!XSd~twG0C&qM>Zdn%%7(@HUO8Q
zgUWthYn!R4OH%N@ek^#zLzy%i+h-$OT>F>FR1*2r89#NtgS8#*sCM37x)N-^fAkXT
zXAC^3M7oU>;Qr>8xz?#rgzT-ld%+sOwiwL#<N5;s{>$0}LcW_%r8nkk+C|a*rQO`6
z9nb2xp%#DIF;RZw`eK>_`C3Nq-ItR-aJ3URDC<6(LUtWD(|!UYf_{IW6k=366PdmR
z%Y6STz!bjiwQB6omcnauMhH1Yb?usJAJxu@x6ur3Ctg4bgAeu-7XG+;2D1|~3|HOa
zL>7}uN4tu<ThEpB^Zqy?_r<~s92IBgI!3L`km+We6y@41l-^<&9NS{`F1&<V?2c;u
z>SClcOr3i3GdrOZM?&18ok}Pb16=87`(Z@mOIskW+uewK!~g+-zXW!y<WMU%s#)r$
z8-uZOxZK??olIKn_vvCJHxB(lpmE~M(EWR?V0Q?lleNgeOe0#`eIZ~@m-Lhuw}+p-
zxEoDLNyR6=Xx8G>o(COYMTAUSXt+W7mpGnbn))yS&*W19U+3H!2XA9nX_P!b3@`%=
zn_5?`KNOiC1}grcq|@AC&Ad@`{DJbT53lUt$SZ~0V|<y)@v{X?$X52rPL}7+Zr&=_
z3e8YduO1;fHxWrwc2y01Ns^gcQASy+dGVTTe9SV3+U(QrypxDY3Lsh#>nv2fibG$S
z1Y=~^{)7}rz-0=uAPEd{ygWSS9YKw=&NTfgwkdhy#qWbUOsZFYzq06K{teukgS`K#
zU%KSSDfnRC^i8q0=M$ndlYSb-BQXJG3OIywky$bNL`7*tI4_mwq~NQK%fO_`SbsdC
zRk_b-B?XD(0VZK#dBU~m%8Ocm{k)3E`scp!>uVTybf_Hiuo-ruS!I<iyv$!&*yN;v
zK$qrCv5H!w4JVDr=bDaWGW2WR6P42vNw>VygS&KrWnD5J4O7le;uosdQ!5{E=iXY}
zO4*uAsR_FRLm_L;xoJbR)8}%Qi<cq7TJo#`6{d`SoL{`3Ouc5EwW&_}zRp?v_DOE9
zXJnM8(2{wOLTZS@eIL({P1a+}D<z3~WsjdSK)z#OcTkP|wH#K!(0-Pj>x|X?!ekuX
zdsnX->zy=dU_V;^?}n$gtSm6&RuFMYe*EuNbD!rr*yh2<?f7JOlec{bm12dq(WA8H
zV>JCyZ?RZ-EIjEEOD=K}D{I>FQc}K|I`EK|Mp9L6WooW?w^<jg5+{&EmxtGHZ)N}^
z5b}5&^(`JEk2y>QvS0^o4}ZQM@)qt4zI9(FF*V9r0h^)b@~2;^221o~D3O0?e&Wf2
zfBa!T+~+s??kt}F^!^Bfh$mpk-oH^q(1uD4xn}+dXPH2!4F6*|W;`(_UN6)F-ASr@
zL#Q_cpY~~BZ3Jtb+(^{Yy%~q~19aw^%#f-*3^SvtnR>Sbc)q*@C?j3a(L{$lKr)HW
z8!=-r>-Vij*<zc*-9bP!z;jI=7$as&)(T}w=YF}>eSMTS5@m#L-hbI0GJ?#)@=BwP
zuwZ;8*Flo5?5aPC|GZDtjVl|d7rV;F+()0577Ghar=2x&#a>8`uJ<^T0%7I|B^&4T
z$P>v=ctKAa9T)lal0YufD-7&2793<P=vfDx@RkmLt4A*<1&kw@PB`_jizLxmCBJ>;
zg9YhDSkZ~AB`BNIq=5)G8cFwYsi0&ncaLt)^{x*(>@LsA*voj+R}=e`+2Q51KQtPv
zPCR^(f9~;kDT@7h9It617@a^*BOMNf(=GYH_8ZS^!J)habrhoDzBp+zfFm$+wQe4!
z%h-|pKzXOoPz%-CEAyL2azpjwv9pvl<!N)HQ?!SBLvTwqrlP~m`o05N_cmjSA_Hn~
zA038Iln#08ifS^(9=4}0)vVxE)-VxfmmXOB(9&JonOPjxr>U#{r1&&MSRy#!saS)_
z<5ve&(#FJke*!^tA&sq5ZE5`?=`~Ogq|<TJ;5;ggj1)fA*=poL9gjP><7!c(UkDc$
zH^p5K+dL_}?_>|$TBktCtwa<LOjHG>z*23pCt*Vtm#z?*->&d3Z=DICg`PU7ti5%=
zeTv%V3&b$z1E7B}s~To%dkK6Ep=%P6v<ljYz(*Jf_~nTHvr)xk>AO>(@U^R!;E&98
zL9+q($XUOrUxFkK+h$M3WPv}!g6?NJo?o*fd%$Q@2$%?$28}uqBIlV5dJnaE1Jx$Q
zi*Gxbm>wQX$hRj;_}1<ZPKyr*h-64XV-n^uBA_-1lw2(N<t}{YsxSG^he>=gO1BIP
z=%{6uxgWq=S5jIe1m7=ji#-hkYl6O&!Z~0)dd)F2bwX;|lIM-S>bn%u@HvwpA=*C&
zCKO7wiFZGKyj2>l;B)3z{O;OV{L6mfRfolXenI5;lO3zVM7sK_+ljx09n1HFMc0M8
z7O9_Yjzd~14ojY*u4@7B+0Jl3bg#gp4VGD1(bfs)XIW?DmguHYo3uuuW}^qX9QRpx
z?9r3riA#!Ol67l}n~QI5u?Sss7SBgG^Ip)hEd9s?fVaaXLIlcJ-=tO&gaTgl9Gm8F
z3KJKC&RS=T<|77aQt;a^Li_vs-<h`vVvV5rN|z8ZD=AWMlwanahJ+Zn&+gMWvg~m!
z!I6|UdUv4Nqn3pNBg@WebZ1_Bd%Tn=?XdDg&BDLwhQ@10;|@lE0?f>S7s%oy>M>>N
zs(Q}c<oPb=gBRJ4QSe1V%C%CMrK@j)rP*0ui5VES{WnDn3yo5QX!}!wj3{L+F~rRC
zJeAw&yt>UBh*0?+<dO#r=np?oB9v=ZDlQ&$94<5oizFCr{o>Z4UJtSQGJ~dG#TWfG
za8MUjS7bs%_*saZ8_#9k+d|PvBX`m9PLdu+9)AlDZJZ&`p2jZaVTg1Np`;!`@x!|a
zV+=vLRh9Zn*YFB$>}TO^xi@l2z?92|I0KGWwSGhF>f{7~=Kd6cfmbmuz`+C&Q`Q93
zgFpQtTwo9meYO8-M_7<-iiZ~00%|c%3Ue%)3sChA=|V)BeslOd$0XNyyDsqJo7=@^
zo9__syeB^jCS8?c`IAbUoGEAxgRIqT04+XP!4$FE{o-8H=Kkj~`T`SbWFfv6Q@tDA
zqHm(g!;7czasN}twBvjyzLw+m7FL~iGEHlo&Pun_;|fQuAuKOAmos`<YWvO7`<Wh@
z3ab~Jic#>T`i09ziQBy4do-LS8giu|xAlS2^Z41KYalU$!c-DQ;&M>zZJ5-05DZF+
zp1IO_;Mk_=$Sv%`ipj4*#p#1z!DGUb<=u%mV_8900XFYs1H>iNuip|+h;t~as+|n(
zhXu&rj(3Fe|NKYJpb)uucJj-2uK5vBK;hoKWxx^?n=dkme*X<hOu1mNB|I;WjA1i$
l_Vo_@K%VXVhJW=UvUBwGv%6VZ^RMHEa#G5YHR7hB{|E0)+YtZ&

literal 0
HcmV?d00001

diff --git a/docs/manual/menu.js b/docs/manual/menu.js
new file mode 100644
index 0000000..0fd1e99
--- /dev/null
+++ b/docs/manual/menu.js
@@ -0,0 +1,134 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+ */
+function initMenu(relPath,searchEnabled,serverSide,searchPage,search,treeview) {
+  function makeTree(data,relPath) {
+    let result='';
+    if ('children' in data) {
+      result+='<ul>';
+      for (let i in data.children) {
+        let url;
+        const link = data.children[i].url;
+        if (link.substring(0,1)=='^') {
+          url = link.substring(1);
+        } else {
+          url = relPath+link;
+        }
+        result+='<li><a href="'+url+'">'+
+                                data.children[i].text+'</a>'+
+                                makeTree(data.children[i],relPath)+'</li>';
+      }
+      result+='</ul>';
+    }
+    return result;
+  }
+  let searchBoxHtml;
+  if (searchEnabled) {
+    if (serverSide) {
+      searchBoxHtml='<div id="MSearchBox" class="MSearchBoxInactive">'+
+                 '<div class="left">'+
+                  '<form id="FSearchBox" action="'+relPath+searchPage+
+                    '" method="get"><span id="MSearchSelectExt">&#160;</span>'+
+                  '<input type="text" id="MSearchField" name="query" value="" placeholder="'+search+
+                    '" size="20" accesskey="S" onfocus="searchBox.OnSearchFieldFocus(true)"'+
+                    ' onblur="searchBox.OnSearchFieldFocus(false)"/>'+
+                  '</form>'+
+                 '</div>'+
+                 '<div class="right"></div>'+
+                '</div>';
+    } else {
+      searchBoxHtml='<div id="MSearchBox" class="MSearchBoxInactive">'+
+                 '<span class="left">'+
+                  '<span id="MSearchSelect" onmouseover="return searchBox.OnSearchSelectShow()"'+
+                     ' onmouseout="return searchBox.OnSearchSelectHide()">&#160;</span>'+
+                  '<input type="text" id="MSearchField" value="" placeholder="'+search+
+                    '" accesskey="S" onfocus="searchBox.OnSearchFieldFocus(true)" '+
+                    'onblur="searchBox.OnSearchFieldFocus(false)" '+
+                    'onkeyup="searchBox.OnSearchFieldChange(event)"/>'+
+                 '</span>'+
+                 '<span class="right"><a id="MSearchClose" '+
+                  'href="javascript:searchBox.CloseResultsWindow()">'+
+                  '<img id="MSearchCloseImg" border="0" src="'+relPath+
+                  'search/close.svg" alt=""/></a>'+
+                 '</span>'+
+                '</div>';
+    }
+  }
+
+  $('#main-nav').before('<div class="sm sm-dox"><input id="main-menu-state" type="checkbox"/>'+
+                        '<label class="main-menu-btn" for="main-menu-state">'+
+                        '<span class="main-menu-btn-icon"></span> '+
+                        'Toggle main menu visibility</label>'+
+                        '<span id="searchBoxPos1" style="position:absolute;right:8px;top:8px;height:36px;"></span>'+
+                        '</div>');
+  $('#main-nav').append(makeTree(menudata,relPath));
+  $('#main-nav').children(':first').addClass('sm sm-dox').attr('id','main-menu');
+  if (searchBoxHtml) {
+    $('#main-menu').append('<li id="searchBoxPos2" style="float:right"></li>');
+  }
+  const $mainMenuState = $('#main-menu-state');
+  let prevWidth = 0;
+  if ($mainMenuState.length) {
+    const initResizableIfExists = function() {
+      if (typeof initResizable==='function') initResizable(treeview);
+    }
+    // animate mobile menu
+    $mainMenuState.change(function() {
+      const $menu = $('#main-menu');
+      let options = { duration: 250, step: initResizableIfExists };
+      if (this.checked) {
+        options['complete'] = () => $menu.css('display', 'block');
+        $menu.hide().slideDown(options);
+      } else {
+        options['complete'] = () => $menu.css('display', 'none');
+        $menu.show().slideUp(options);
+      }
+    });
+    // set default menu visibility
+    const resetState = function() {
+      const $menu = $('#main-menu');
+      const newWidth = $(window).outerWidth();
+      if (newWidth!=prevWidth) {
+        if ($(window).outerWidth()<768) {
+          $mainMenuState.prop('checked',false); $menu.hide();
+          $('#searchBoxPos1').html(searchBoxHtml);
+          $('#searchBoxPos2').hide();
+        } else {
+          $menu.show();
+          $('#searchBoxPos1').empty();
+          $('#searchBoxPos2').html(searchBoxHtml);
+          $('#searchBoxPos2').show();
+        }
+        if (typeof searchBox!=='undefined') {
+          searchBox.CloseResultsWindow();
+        }
+        prevWidth = newWidth;
+      }
+    }
+    $(window).ready(function() { resetState(); initResizableIfExists(); });
+    $(window).resize(resetState);
+  }
+  $('#main-menu').smartmenus();
+}
+/* @license-end */
diff --git a/docs/manual/menudata.js b/docs/manual/menudata.js
new file mode 100644
index 0000000..1cdd58f
--- /dev/null
+++ b/docs/manual/menudata.js
@@ -0,0 +1,32 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+*/
+var menudata={children:[
+{text:"Main Page",url:"index.html"},
+{text:"Classes",url:"annotated.html",children:[
+{text:"Class List",url:"annotated.html"},
+{text:"Class Index",url:"classes.html"},
+{text:"Class Hierarchy",url:"inherits.html"}]},
+{text:"Files",url:"files.html",children:[
+{text:"File List",url:"files.html"}]}]}
diff --git a/docs/manual/minus.svg b/docs/manual/minus.svg
new file mode 100644
index 0000000..f70d0c1
--- /dev/null
+++ b/docs/manual/minus.svg
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
+  <g>
+    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
+    <rect style="fill:#fcfcfc;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
+    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
+  </g>
+</svg>
diff --git a/docs/manual/minusd.svg b/docs/manual/minusd.svg
new file mode 100644
index 0000000..5f8e879
--- /dev/null
+++ b/docs/manual/minusd.svg
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
+  <g>
+    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
+    <rect style="fill:#000000;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
+    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
+  </g>
+</svg>
diff --git a/docs/manual/nav_f.png b/docs/manual/nav_f.png
new file mode 100644
index 0000000000000000000000000000000000000000..72a58a529ed3a9ed6aa0c51a79cf207e026deee2
GIT binary patch
literal 153
zcmeAS@N?(olHy`uVBq!ia0vp^j6iI`!2~2XGqLUlQVE_ejv*C{Z|{2ZH7M}7UYxc)
zn!W8uqtnIQ>_<lqdB{jiFDSaaN3W^xbJMH7CDK7=Q3_$6tQ&<~Cp4L6ZEndC`8;cO
zrss?`_g+2sGU&M|cu~La_w1Rnf~7w`e!jQgteDwDLg6kW!`DinT@0SCelF{r5}E+Y
CM>z8U

literal 0
HcmV?d00001

diff --git a/docs/manual/nav_fd.png b/docs/manual/nav_fd.png
new file mode 100644
index 0000000000000000000000000000000000000000..032fbdd4c54f54fa9a2e6423b94ef4b2ebdfaceb
GIT binary patch
literal 169
zcmeAS@N?(olHy`uVBq!ia0vp^j6iI`!2~2XGqLUlQU#tajv*C{Z|C~*H7f|XvG1G8
zt<j{B<-5i=y8aRCp6>7aS*L7xwMeS}!z6R#{C5tIw-s~AJ==F^i}x3XyJseHR@yF&
zerFf(Zf;Dd{+(0lDIROL@Sj-Ju2JQ8&-n%4%q?>|^bShc&lR?}7HeMo@BDl5N(aHY
Uj$gdr1MOz;boFyt=akR{0D!zeaR2}S

literal 0
HcmV?d00001

diff --git a/docs/manual/nav_g.png b/docs/manual/nav_g.png
new file mode 100644
index 0000000000000000000000000000000000000000..2093a237a94f6c83e19ec6e5fd42f7ddabdafa81
GIT binary patch
literal 95
zcmeAS@N?(olHy`uVBq!ia0vp^j6lrB!3HFm1ilyoDK$?Q$B+ufw|5PB85lU25BhtE
tr?otc=hd~V+ws&_A@j8Fiv!K<?EJwDd;c`qumW{3c)I$ztaD0e0syCC7$E=v

literal 0
HcmV?d00001

diff --git a/docs/manual/nav_h.png b/docs/manual/nav_h.png
new file mode 100644
index 0000000000000000000000000000000000000000..33389b101d9cd9b4c98ad286b5d9c46a6671f650
GIT binary patch
literal 98
zcmeAS@N?(olHy`uVBq!ia0vp^j6lr8!2~3AUOE6t22D>F$B+ufw|5=67#uj90@pIL
wZ=Q8~_Ju`#59=RjDrmm`tMD@M=!-l18IR?&v<Kx}xDV3h>FVdQ&MBb@0HFXL<NyEw

literal 0
HcmV?d00001

diff --git a/docs/manual/nav_hd.png b/docs/manual/nav_hd.png
new file mode 100644
index 0000000000000000000000000000000000000000..de80f18ad6488b9990303f267a76fdc83f0ffd80
GIT binary patch
literal 114
zcmeAS@N?(olHy`uVBq!ia0vp^j6lr8!2~3AUOE6t21`#D$B+ufw|9379#G(63FK{W
z5s<eodL#E@zbS9{Dekh>6W-eg#Jd_@e6*DPn)w;=|1H}Zvm9l6xXXB%>yL=NQU;mg
M>FVdQ&MBb@0Bdt1Qvd(}

literal 0
HcmV?d00001

diff --git a/docs/manual/navtree.css b/docs/manual/navtree.css
new file mode 100644
index 0000000..69211d4
--- /dev/null
+++ b/docs/manual/navtree.css
@@ -0,0 +1,149 @@
+#nav-tree .children_ul {
+  margin:0;
+  padding:4px;
+}
+
+#nav-tree ul {
+  list-style:none outside none;
+  margin:0px;
+  padding:0px;
+}
+
+#nav-tree li {
+  white-space:nowrap;
+  margin:0px;
+  padding:0px;
+}
+
+#nav-tree .plus {
+  margin:0px;
+}
+
+#nav-tree .selected {
+  background-image: url('tab_a.png');
+  background-repeat:repeat-x;
+  color: var(--nav-text-active-color);
+  text-shadow: var(--nav-text-active-shadow);
+}
+
+#nav-tree .selected .arrow {
+  color: var(--nav-arrow-selected-color);
+  text-shadow: none;
+}
+
+#nav-tree img {
+  margin:0px;
+  padding:0px;
+  border:0px;
+  vertical-align: middle;
+}
+
+#nav-tree a {
+  text-decoration:none;
+  padding:0px;
+  margin:0px;
+}
+
+#nav-tree .label {
+  margin:0px;
+  padding:0px;
+  font: 12px var(--font-family-nav);
+}
+
+#nav-tree .label a {
+  padding:2px;
+}
+
+#nav-tree .selected a {
+  text-decoration:none;
+  color:var(--nav-text-active-color);
+}
+
+#nav-tree .children_ul {
+  margin:0px;
+  padding:0px;
+}
+
+#nav-tree .item {
+  margin:0px;
+  padding:0px;
+}
+
+#nav-tree {
+  padding: 0px 0px;
+  font-size:14px;
+  overflow:auto;
+}
+
+#doc-content {
+  overflow:auto;
+  display:block;
+  padding:0px;
+  margin:0px;
+  -webkit-overflow-scrolling : touch; /* iOS 5+ */
+}
+
+#side-nav {
+  padding:0 6px 0 0;
+  margin: 0px;
+  display:block;
+  position: absolute;
+  left: 0px;
+  width: $width;
+  overflow : hidden;
+}
+
+.ui-resizable .ui-resizable-handle {
+  display:block;
+}
+
+.ui-resizable-e {
+  background-image:var(--nav-splitbar-image);
+  background-size:100%;
+  background-repeat:repeat-y;
+  background-attachment: scroll;
+  cursor:ew-resize;
+  height:100%;
+  right:0;
+  top:0;
+  width:6px;
+}
+
+.ui-resizable-handle {
+  display:none;
+  font-size:0.1px;
+  position:absolute;
+  z-index:1;
+}
+
+#nav-tree-contents {
+  margin: 6px 0px 0px 0px;
+}
+
+#nav-tree {
+  background-repeat:repeat-x;
+  background-color: var(--nav-background-color);
+  -webkit-overflow-scrolling : touch; /* iOS 5+ */
+}
+
+#nav-sync {
+  position:absolute;
+  top:5px;
+  right:24px;
+  z-index:0;
+}
+
+#nav-sync img {
+  opacity:0.3;
+}
+
+#nav-sync img:hover {
+  opacity:0.9;
+}
+
+@media print
+{
+  #nav-tree { display: none; }
+  div.ui-resizable-handle { display: none; position: relative; }
+}
+
diff --git a/docs/manual/navtree.js b/docs/manual/navtree.js
new file mode 100644
index 0000000..9027ce6
--- /dev/null
+++ b/docs/manual/navtree.js
@@ -0,0 +1,483 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+ */
+
+function initNavTree(toroot,relpath) {
+  let navTreeSubIndices = [];
+  const ARROW_DOWN = '&#9660;';
+  const ARROW_RIGHT = '&#9658;';
+  const NAVPATH_COOKIE_NAME = ''+'navpath';
+
+  const getData = function(varName) {
+    const i = varName.lastIndexOf('/');
+    const n = i>=0 ? varName.substring(i+1) : varName;
+    return eval(n.replace(/-/g,'_'));
+  }
+
+  const stripPath = function(uri) {
+    return uri.substring(uri.lastIndexOf('/')+1);
+  }
+
+  const stripPath2 = function(uri) {
+    const i = uri.lastIndexOf('/');
+    const s = uri.substring(i+1);
+    const m = uri.substring(0,i+1).match(/\/d\w\/d\w\w\/$/);
+    return m ? uri.substring(i-6) : s;
+  }
+
+  const hashValue = function() {
+    return $(location).attr('hash').substring(1).replace(/[^\w-]/g,'');
+  }
+
+  const hashUrl = function() {
+    return '#'+hashValue();
+  }
+
+  const pathName = function() {
+    return $(location).attr('pathname').replace(/[^-A-Za-z0-9+&@#/%?=~_|!:,.;()]/g, '');
+  }
+
+  const storeLink = function(link) {
+    if (!$("#nav-sync").hasClass('sync')) {
+      Cookie.writeSetting(NAVPATH_COOKIE_NAME,link,0);
+    }
+  }
+
+  const deleteLink = function() {
+    Cookie.eraseSetting(NAVPATH_COOKIE_NAME);
+  }
+
+  const cachedLink = function() {
+    return Cookie.readSetting(NAVPATH_COOKIE_NAME,'');
+  }
+
+  const getScript = function(scriptName,func) {
+    const head = document.getElementsByTagName("head")[0];
+    const script = document.createElement('script');
+    script.id = scriptName;
+    script.type = 'text/javascript';
+    script.onload = func;
+    script.src = scriptName+'.js';
+    head.appendChild(script);
+  }
+
+  const createIndent = function(o,domNode,node) {
+    let level=-1;
+    let n = node;
+    while (n.parentNode) { level++; n=n.parentNode; }
+    if (node.childrenData) {
+      const imgNode = document.createElement("span");
+      imgNode.className = 'arrow';
+      imgNode.style.paddingLeft=(16*level).toString()+'px';
+      imgNode.innerHTML=ARROW_RIGHT;
+      node.plus_img = imgNode;
+      node.expandToggle = document.createElement("a");
+      node.expandToggle.href = "javascript:void(0)";
+      node.expandToggle.onclick = function() {
+        if (node.expanded) {
+          $(node.getChildrenUL()).slideUp("fast");
+          node.plus_img.innerHTML=ARROW_RIGHT;
+          node.expanded = false;
+        } else {
+          expandNode(o, node, false, true);
+        }
+      }
+      node.expandToggle.appendChild(imgNode);
+      domNode.appendChild(node.expandToggle);
+    } else {
+      let span = document.createElement("span");
+      span.className = 'arrow';
+      span.style.width   = 16*(level+1)+'px';
+      span.innerHTML = '&#160;';
+      domNode.appendChild(span);
+    }
+  }
+
+  let animationInProgress = false;
+
+  const gotoAnchor = function(anchor,aname) {
+    let pos, docContent = $('#doc-content');
+    let ancParent = $(anchor.parent());
+    if (ancParent.hasClass('memItemLeft') || ancParent.hasClass('memtitle')  ||
+        ancParent.hasClass('fieldname')   || ancParent.hasClass('fieldtype') ||
+        ancParent.is(':header')) {
+      pos = ancParent.position().top;
+    } else if (anchor.position()) {
+      pos = anchor.position().top;
+    }
+    if (pos) {
+      const dcOffset    = docContent.offset().top;
+      const dcHeight    = docContent.height();
+      const dcScrHeight = docContent[0].scrollHeight
+      const dcScrTop    = docContent.scrollTop();
+      let dist = Math.abs(Math.min(pos-dcOffset,dcScrHeight-dcHeight-dcScrTop));
+      animationInProgress = true;
+      docContent.animate({
+        scrollTop: pos + dcScrTop - dcOffset
+      },Math.max(50,Math.min(500,dist)),function() {
+        animationInProgress=false;
+        if (anchor.parent().attr('class')=='memItemLeft') {
+          let rows = $('.memberdecls tr[class$="'+hashValue()+'"]');
+          glowEffect(rows.children(),300); // member without details
+        } else if (anchor.parent().attr('class')=='fieldname') {
+          glowEffect(anchor.parent().parent(),1000); // enum value
+        } else if (anchor.parent().attr('class')=='fieldtype') {
+          glowEffect(anchor.parent().parent(),1000); // struct field
+        } else if (anchor.parent().is(":header")) {
+          glowEffect(anchor.parent(),1000); // section header
+        } else {
+          glowEffect(anchor.next(),1000); // normal member
+        }
+      });
+    }
+  }
+
+  const newNode = function(o, po, text, link, childrenData, lastNode) {
+    const node = {
+      children     : [],
+      childrenData : childrenData,
+      depth        : po.depth + 1,
+      relpath      : po.relpath,
+      isLast       : lastNode,
+      li           : document.createElement("li"),
+      parentNode   : po,
+      itemDiv      : document.createElement("div"),
+      labelSpan    : document.createElement("span"),
+      label        : document.createTextNode(text),
+      expanded     : false,
+      childrenUL   : null,
+      getChildrenUL : function() {
+        if (!this.childrenUL) {
+          this.childrenUL = document.createElement("ul");
+          this.childrenUL.className = "children_ul";
+          this.childrenUL.style.display = "none";
+          this.li.appendChild(node.childrenUL);
+        }
+        return node.childrenUL;
+      },
+    };
+
+    node.itemDiv.className = "item";
+    node.labelSpan.className = "label";
+    createIndent(o,node.itemDiv,node);
+    node.itemDiv.appendChild(node.labelSpan);
+    node.li.appendChild(node.itemDiv);
+
+    const a = document.createElement("a");
+    node.labelSpan.appendChild(a);
+    po.getChildrenUL().appendChild(node.li);
+    a.appendChild(node.label);
+    if (link) {
+      let url;
+      if (link.substring(0,1)=='^') {
+        url = link.substring(1);
+        link = url;
+      } else {
+        url = node.relpath+link;
+      }
+      a.className = stripPath(link.replace('#',':'));
+      if (link.indexOf('#')!=-1) {
+        const aname = '#'+link.split('#')[1];
+        const srcPage = stripPath(pathName());
+        const targetPage = stripPath(link.split('#')[0]);
+        a.href = srcPage!=targetPage ? url : aname;
+        a.onclick = function() {
+          storeLink(link);
+          aPPar = $(a).parent().parent();
+          if (!aPPar.hasClass('selected')) {
+            $('.item').removeClass('selected');
+            $('.item').removeAttr('id');
+            aPPar.addClass('selected');
+            aPPar.attr('id','selected');
+          }
+          const anchor = $(aname);
+          gotoAnchor(anchor,aname);
+        };
+      } else {
+        a.href = url;
+        a.onclick = () => storeLink(link);
+      }
+    } else if (childrenData != null) {
+      a.className = "nolink";
+      a.href = "javascript:void(0)";
+      a.onclick = node.expandToggle.onclick;
+    }
+    return node;
+  }
+
+  const showRoot = function() {
+    const headerHeight = $("#top").height();
+    const footerHeight = $("#nav-path").height();
+    const windowHeight = $(window).height() - headerHeight - footerHeight;
+    (function() { // retry until we can scroll to the selected item
+      try {
+        const navtree=$('#nav-tree');
+        navtree.scrollTo('#selected',100,{offset:-windowHeight/2});
+      } catch (err) {
+        setTimeout(arguments.callee, 0);
+      }
+    })();
+  }
+
+  const expandNode = function(o, node, imm, setFocus) {
+    if (node.childrenData && !node.expanded) {
+      if (typeof(node.childrenData)==='string') {
+        const varName = node.childrenData;
+        getScript(node.relpath+varName,function() {
+          node.childrenData = getData(varName);
+          expandNode(o, node, imm, setFocus);
+        });
+      } else {
+        if (!node.childrenVisited) {
+          getNode(o, node);
+        }
+        $(node.getChildrenUL()).slideDown("fast");
+        node.plus_img.innerHTML = ARROW_DOWN;
+        node.expanded = true;
+        if (setFocus) {
+          $(node.expandToggle).focus();
+        }
+      }
+    }
+  }
+
+  const glowEffect = function(n,duration) {
+    n.addClass('glow').delay(duration).queue(function(next) {
+      $(this).removeClass('glow');next();
+    });
+  }
+
+  const highlightAnchor = function() {
+    const aname = hashUrl();
+    const anchor = $(aname);
+    gotoAnchor(anchor,aname);
+  }
+
+  const selectAndHighlight = function(hash,n) {
+    let a;
+    if (hash) {
+      const link=stripPath(pathName())+':'+hash.substring(1);
+      a=$('.item a[class$="'+link+'"]');
+    }
+    if (a && a.length) {
+      a.parent().parent().addClass('selected');
+      a.parent().parent().attr('id','selected');
+      highlightAnchor();
+    } else if (n) {
+      $(n.itemDiv).addClass('selected');
+      $(n.itemDiv).attr('id','selected');
+    }
+    let topOffset=5;
+    if ($('#nav-tree-contents .item:first').hasClass('selected')) {
+      topOffset+=25;
+    }
+    $('#nav-sync').css('top',topOffset+'px');
+    showRoot();
+  }
+
+  const showNode = function(o, node, index, hash) {
+    if (node && node.childrenData) {
+      if (typeof(node.childrenData)==='string') {
+        const varName = node.childrenData;
+        getScript(node.relpath+varName,function() {
+          node.childrenData = getData(varName);
+          showNode(o,node,index,hash);
+        });
+      } else {
+        if (!node.childrenVisited) {
+          getNode(o, node);
+        }
+        $(node.getChildrenUL()).css({'display':'block'});
+        node.plus_img.innerHTML = ARROW_DOWN;
+        node.expanded = true;
+        const n = node.children[o.breadcrumbs[index]];
+        if (index+1<o.breadcrumbs.length) {
+          showNode(o,n,index+1,hash);
+        } else if (typeof(n.childrenData)==='string') {
+          const varName = n.childrenData;
+          getScript(n.relpath+varName,function() {
+            n.childrenData = getData(varName);
+            node.expanded=false;
+            showNode(o,node,index,hash); // retry with child node expanded
+          });
+        } else {
+          const rootBase = stripPath(o.toroot.replace(/\..+$/, ''));
+          if (rootBase=="index" || rootBase=="pages" || rootBase=="search") {
+            expandNode(o, n, true, false);
+          }
+          selectAndHighlight(hash,n);
+        }
+      }
+    } else {
+      selectAndHighlight(hash);
+    }
+  }
+
+  const removeToInsertLater = function(element) {
+    const parentNode = element.parentNode;
+    const nextSibling = element.nextSibling;
+    parentNode.removeChild(element);
+    return function() {
+      if (nextSibling) {
+        parentNode.insertBefore(element, nextSibling);
+      } else {
+        parentNode.appendChild(element);
+      }
+    };
+  }
+
+  const getNode = function(o, po) {
+    const insertFunction = removeToInsertLater(po.li);
+    po.childrenVisited = true;
+    const l = po.childrenData.length-1;
+    for (let i in po.childrenData) {
+      const nodeData = po.childrenData[i];
+      po.children[i] = newNode(o, po, nodeData[0], nodeData[1], nodeData[2], i==l);
+    }
+    insertFunction();
+  }
+
+  const gotoNode = function(o,subIndex,root,hash,relpath) {
+    const nti = navTreeSubIndices[subIndex][root+hash];
+    o.breadcrumbs = $.extend(true, [], nti ? nti : navTreeSubIndices[subIndex][root]);
+    if (!o.breadcrumbs && root!=NAVTREE[0][1]) { // fallback: show index
+      navTo(o,NAVTREE[0][1],"",relpath);
+      $('.item').removeClass('selected');
+      $('.item').removeAttr('id');
+    }
+    if (o.breadcrumbs) {
+      o.breadcrumbs.unshift(0); // add 0 for root node
+      showNode(o, o.node, 0, hash);
+    }
+  }
+
+  const navTo = function(o,root,hash,relpath) {
+    const link = cachedLink();
+    if (link) {
+      const parts = link.split('#');
+      root = parts[0];
+      hash = parts.length>1 ? '#'+parts[1].replace(/[^\w-]/g,'') : '';
+    }
+    if (hash.match(/^#l\d+$/)) {
+      const anchor=$('a[name='+hash.substring(1)+']');
+      glowEffect(anchor.parent(),1000); // line number
+      hash=''; // strip line number anchors
+    }
+    const url=root+hash;
+    let i=-1;
+    while (NAVTREEINDEX[i+1]<=url) i++;
+    if (i==-1) { i=0; root=NAVTREE[0][1]; } // fallback: show index
+    if (navTreeSubIndices[i]) {
+      gotoNode(o,i,root,hash,relpath)
+    } else {
+      getScript(relpath+'navtreeindex'+i,function() {
+        navTreeSubIndices[i] = eval('NAVTREEINDEX'+i);
+        if (navTreeSubIndices[i]) {
+          gotoNode(o,i,root,hash,relpath);
+        }
+      });
+    }
+  }
+
+  const showSyncOff = function(n,relpath) {
+    n.html('<img src="'+relpath+'sync_off.png" title="'+SYNCOFFMSG+'"/>');
+  }
+
+  const showSyncOn = function(n,relpath) {
+    n.html('<img src="'+relpath+'sync_on.png" title="'+SYNCONMSG+'"/>');
+  }
+
+  const o = {
+    toroot : toroot,
+    node   : {
+      childrenData  : NAVTREE,
+      children      : [],
+      childrenUL    : document.createElement("ul"),
+      getChildrenUL : function() { return this.childrenUL },
+      li            : document.getElementById("nav-tree-contents"),
+      depth         : 0,
+      relpath       : relpath,
+      expanded      : false,
+      isLast        : true,
+      plus_img      : document.createElement("span"),
+    },
+  };
+  o.node.li.appendChild(o.node.childrenUL);
+  o.node.plus_img.className = 'arrow';
+  o.node.plus_img.innerHTML = ARROW_RIGHT;
+
+  const navSync = $('#nav-sync');
+  if (cachedLink()) {
+    showSyncOff(navSync,relpath);
+    navSync.removeClass('sync');
+  } else {
+    showSyncOn(navSync,relpath);
+  }
+
+  navSync.click(() => {
+    const navSync = $('#nav-sync');
+    if (navSync.hasClass('sync')) {
+      navSync.removeClass('sync');
+      showSyncOff(navSync,relpath);
+      storeLink(stripPath2(pathName())+hashUrl());
+    } else {
+      navSync.addClass('sync');
+      showSyncOn(navSync,relpath);
+      deleteLink();
+    }
+  });
+
+  navTo(o,toroot,hashUrl(),relpath);
+  showRoot();
+
+  $(window).bind('hashchange', () => {
+    if (!animationInProgress) {
+      if (window.location.hash && window.location.hash.length>1) {
+        let a;
+        if ($(location).attr('hash')) {
+          const clslink=stripPath(pathName())+':'+hashValue();
+          a=$('.item a[class$="'+clslink.replace(/</g,'\\3c ')+'"]');
+        }
+        if (a==null || !$(a).parent().parent().hasClass('selected')) {
+          $('.item').removeClass('selected');
+          $('.item').removeAttr('id');
+        }
+        const link=stripPath2(pathName());
+        navTo(o,link,hashUrl(),relpath);
+        } else {
+        $('#doc-content').scrollTop(0);
+        $('.item').removeClass('selected');
+        $('.item').removeAttr('id');
+        navTo(o,toroot,hashUrl(),relpath);
+      }
+    }
+  });
+
+  $("div.toc a[href]").click(function(e) {
+    e.preventDefault();
+    const aname = $(this).attr("href");
+    gotoAnchor($(aname),aname);
+  });
+}
+/* @license-end */
diff --git a/docs/manual/navtreedata.js b/docs/manual/navtreedata.js
new file mode 100644
index 0000000..a6fb137
--- /dev/null
+++ b/docs/manual/navtreedata.js
@@ -0,0 +1,45 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+*/
+var NAVTREE =
+[
+  [ "BayesNet", "index.html", [
+    [ "Classes", "annotated.html", [
+      [ "Class List", "annotated.html", "annotated_dup" ],
+      [ "Class Index", "classes.html", null ],
+      [ "Class Hierarchy", "hierarchy.html", "hierarchy" ]
+    ] ],
+    [ "Files", "files.html", [
+      [ "File List", "files.html", "files_dup" ]
+    ] ]
+  ] ]
+];
+
+var NAVTREEINDEX =
+[
+"_a2_d_e_8cc_source.html"
+];
+
+var SYNCONMSG = 'click to disable panel synchronisation';
+var SYNCOFFMSG = 'click to enable panel synchronisation';
\ No newline at end of file
diff --git a/docs/manual/navtreeindex0.js b/docs/manual/navtreeindex0.js
new file mode 100644
index 0000000..415ec8c
--- /dev/null
+++ b/docs/manual/navtreeindex0.js
@@ -0,0 +1,69 @@
+var NAVTREEINDEX0 =
+{
+"_a2_d_e_8cc_source.html":[1,0,0,1,0],
+"_a2_d_e_8h_source.html":[1,0,0,1,1],
+"_a_o_d_e_8cc_source.html":[1,0,0,1,2],
+"_a_o_d_e_8h_source.html":[1,0,0,1,3],
+"_a_o_d_e_ld_8cc_source.html":[1,0,0,1,4],
+"_a_o_d_e_ld_8h_source.html":[1,0,0,1,5],
+"_base_classifier_8h_source.html":[1,0,0,3],
+"_boost_8cc_source.html":[1,0,0,1,6],
+"_boost_8h_source.html":[1,0,0,1,7],
+"_boost_a2_d_e_8cc_source.html":[1,0,0,1,8],
+"_boost_a2_d_e_8h_source.html":[1,0,0,1,9],
+"_boost_a_o_d_e_8cc_source.html":[1,0,0,1,10],
+"_boost_a_o_d_e_8h_source.html":[1,0,0,1,11],
+"_classifier_8cc_source.html":[1,0,0,0,0],
+"_classifier_8h_source.html":[1,0,0,0,1],
+"_ensemble_8cc_source.html":[1,0,0,1,12],
+"_ensemble_8h_source.html":[1,0,0,1,13],
+"_k_d_b_8cc_source.html":[1,0,0,0,2],
+"_k_d_b_8h_source.html":[1,0,0,0,3],
+"_k_d_b_ld_8cc_source.html":[1,0,0,0,4],
+"_k_d_b_ld_8h_source.html":[1,0,0,0,5],
+"_network_8cc_source.html":[1,0,0,2,0],
+"_network_8h_source.html":[1,0,0,2,1],
+"_node_8cc_source.html":[1,0,0,2,2],
+"_node_8h_source.html":[1,0,0,2,3],
+"_proposal_8cc_source.html":[1,0,0,0,6],
+"_proposal_8h_source.html":[1,0,0,0,7],
+"_s_p_o_d_e_8cc_source.html":[1,0,0,0,10],
+"_s_p_o_d_e_8h_source.html":[1,0,0,0,11],
+"_s_p_o_d_e_ld_8cc_source.html":[1,0,0,0,12],
+"_s_p_o_d_e_ld_8h_source.html":[1,0,0,0,13],
+"_s_pn_d_e_8cc_source.html":[1,0,0,0,8],
+"_s_pn_d_e_8h_source.html":[1,0,0,0,9],
+"_t_a_n_8cc_source.html":[1,0,0,0,14],
+"_t_a_n_8h_source.html":[1,0,0,0,15],
+"_t_a_n_ld_8cc_source.html":[1,0,0,0,16],
+"_t_a_n_ld_8h_source.html":[1,0,0,0,17],
+"annotated.html":[0,0],
+"classbayesnet_1_1_a2_d_e.html":[0,0,0,0],
+"classbayesnet_1_1_a_o_d_e.html":[0,0,0,1],
+"classbayesnet_1_1_a_o_d_e_ld.html":[0,0,0,2],
+"classbayesnet_1_1_base_classifier.html":[0,0,0,3],
+"classbayesnet_1_1_boost.html":[0,0,0,4],
+"classbayesnet_1_1_boost_a2_d_e.html":[0,0,0,5],
+"classbayesnet_1_1_boost_a_o_d_e.html":[0,0,0,6],
+"classbayesnet_1_1_classifier.html":[0,0,0,7],
+"classbayesnet_1_1_ensemble.html":[0,0,0,8],
+"classbayesnet_1_1_k_d_b.html":[0,0,0,9],
+"classbayesnet_1_1_k_d_b_ld.html":[0,0,0,10],
+"classbayesnet_1_1_network.html":[0,0,0,11],
+"classbayesnet_1_1_node.html":[0,0,0,12],
+"classbayesnet_1_1_proposal.html":[0,0,0,13],
+"classbayesnet_1_1_s_p_o_d_e.html":[0,0,0,15],
+"classbayesnet_1_1_s_p_o_d_e_ld.html":[0,0,0,16],
+"classbayesnet_1_1_s_pn_d_e.html":[0,0,0,14],
+"classbayesnet_1_1_t_a_n.html":[0,0,0,17],
+"classbayesnet_1_1_t_a_n_ld.html":[0,0,0,18],
+"classes.html":[0,1],
+"dir_2f68445c4ac4316280c650d0a13b2741.html":[1,0,0,1],
+"dir_40070fdff85d618b4d1d3ab4ac4f79bb.html":[1,0,0],
+"dir_520a649ed2b1c3b658a695aeefe46a5a.html":[1,0,0,0],
+"dir_efcd97b18bba957e8e278307db4f845a.html":[1,0,0,2],
+"files.html":[1,0],
+"hierarchy.html":[0,2],
+"index.html":[],
+"pages.html":[]
+};
diff --git a/docs/manual/open.png b/docs/manual/open.png
new file mode 100644
index 0000000000000000000000000000000000000000..30f75c7efe2dd0c9e956e35b69777a02751f048b
GIT binary patch
literal 123
zcmeAS@N?(olHy`uVBq!ia0vp^oFL4>1|%O$WD@{VPM$7~Ar*{o?;hlAFyLXmaDC0y
znK1_#cQqJWPES%4Uujug^TE?jMft$}Eq^WaR~)%f)vSNs&gek&x%A9X9sM<Rdl=8h
W@EqZ{ytxBt8iS{+pUXO@geCxcDJg#d

literal 0
HcmV?d00001

diff --git a/docs/manual/plus.svg b/docs/manual/plus.svg
new file mode 100644
index 0000000..0752016
--- /dev/null
+++ b/docs/manual/plus.svg
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
+  <g>
+    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
+    <rect style="fill:#fcfcfc;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
+    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
+    <rect style="fill:#808080;stroke-width:0" width="15.874998" height="52.916668" x="44.979168" y="26.458332" />
+  </g>
+</svg>
diff --git a/docs/manual/plusd.svg b/docs/manual/plusd.svg
new file mode 100644
index 0000000..0c65bfe
--- /dev/null
+++ b/docs/manual/plusd.svg
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
+  <g>
+    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
+    <rect style="fill:#000000;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
+    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
+    <rect style="fill:#808080;stroke-width:0" width="15.874998" height="52.916668" x="44.979168" y="26.458332" />
+  </g>
+</svg>
diff --git a/docs/manual/resize.js b/docs/manual/resize.js
new file mode 100644
index 0000000..7d8cdc7
--- /dev/null
+++ b/docs/manual/resize.js
@@ -0,0 +1,145 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+ */
+
+function initResizable(treeview) {
+  let sidenav,navtree,content,header,footer,barWidth=6;
+  const RESIZE_COOKIE_NAME = ''+'width';
+
+  function resizeWidth() {
+    const sidenavWidth = $(sidenav).outerWidth();
+    content.css({marginLeft:parseInt(sidenavWidth)+"px"});
+    if (typeof page_layout!=='undefined' && page_layout==1) {
+      footer.css({marginLeft:parseInt(sidenavWidth)+"px"});
+    }
+    Cookie.writeSetting(RESIZE_COOKIE_NAME,sidenavWidth-barWidth);
+  }
+
+  function restoreWidth(navWidth) {
+    content.css({marginLeft:parseInt(navWidth)+barWidth+"px"});
+    if (typeof page_layout!=='undefined' && page_layout==1) {
+      footer.css({marginLeft:parseInt(navWidth)+barWidth+"px"});
+    }
+    sidenav.css({width:navWidth + "px"});
+  }
+
+  function resizeHeight(treeview) {
+    const headerHeight = header.outerHeight();
+    const windowHeight = $(window).height();
+    let contentHeight;
+    if (treeview)
+    {
+      const footerHeight = footer.outerHeight();
+      let navtreeHeight,sideNavHeight;
+      if (typeof page_layout==='undefined' || page_layout==0) { /* DISABLE_INDEX=NO */
+        contentHeight = windowHeight - headerHeight - footerHeight;
+        navtreeHeight = contentHeight;
+        sideNavHeight = contentHeight;
+      } else if (page_layout==1) { /* DISABLE_INDEX=YES */
+        contentHeight = windowHeight - footerHeight;
+        navtreeHeight = windowHeight - headerHeight;
+        sideNavHeight = windowHeight;
+      }
+      navtree.css({height:navtreeHeight + "px"});
+      sidenav.css({height:sideNavHeight + "px"});
+    }
+    else
+    {
+      contentHeight = windowHeight - headerHeight;
+    }
+    content.css({height:contentHeight + "px"});
+    if (location.hash.slice(1)) {
+      (document.getElementById(location.hash.slice(1))||document.body).scrollIntoView();
+    }
+  }
+
+  function collapseExpand() {
+    let newWidth;
+    if (sidenav.width()>0) {
+      newWidth=0;
+    } else {
+      const width = Cookie.readSetting(RESIZE_COOKIE_NAME,250);
+      newWidth = (width>250 && width<$(window).width()) ? width : 250;
+    }
+    restoreWidth(newWidth);
+    const sidenavWidth = $(sidenav).outerWidth();
+    Cookie.writeSetting(RESIZE_COOKIE_NAME,sidenavWidth-barWidth);
+  }
+
+  header  = $("#top");
+  content = $("#doc-content");
+  footer  = $("#nav-path");
+  sidenav = $("#side-nav");
+  if (!treeview) {
+//    title   = $("#titlearea");
+//    titleH  = $(title).height();
+//    let animating = false;
+//    content.on("scroll", function() {
+//      slideOpts = { duration: 200,
+//                    step: function() {
+//                        contentHeight = $(window).height() - header.outerHeight();
+//                        content.css({ height : contentHeight + "px" });
+//                      },
+//                    done: function() { animating=false; }
+//                  };
+//      if (content.scrollTop()>titleH && title.css('display')!='none' && !animating) {
+//        title.slideUp(slideOpts);
+//        animating=true;
+//      } else if (content.scrollTop()<=titleH && title.css('display')=='none' && !animating) {
+//        title.slideDown(slideOpts);
+//        animating=true;
+//      }
+//    });
+  } else {
+    navtree = $("#nav-tree");
+    $(".side-nav-resizable").resizable({resize: function(e, ui) { resizeWidth(); } });
+    $(sidenav).resizable({ minWidth: 0 });
+  }
+  $(window).resize(function() { resizeHeight(treeview); });
+  if (treeview)
+  {
+    const device = navigator.userAgent.toLowerCase();
+    const touch_device = device.match(/(iphone|ipod|ipad|android)/);
+    if (touch_device) { /* wider split bar for touch only devices */
+      $(sidenav).css({ paddingRight:'20px' });
+      $('.ui-resizable-e').css({ width:'20px' });
+      $('#nav-sync').css({ right:'34px' });
+      barWidth=20;
+    }
+    const width = Cookie.readSetting(RESIZE_COOKIE_NAME,250);
+    if (width) { restoreWidth(width); } else { resizeWidth(); }
+  }
+  resizeHeight(treeview);
+  const url = location.href;
+  const i=url.indexOf("#");
+  if (i>=0) window.location.hash=url.substr(i);
+  const _preventDefault = function(evt) { evt.preventDefault(); };
+  if (treeview)
+  {
+    $("#splitbar").bind("dragstart", _preventDefault).bind("selectstart", _preventDefault);
+    $(".ui-resizable-handle").dblclick(collapseExpand);
+  }
+  $(window).on('load',resizeHeight);
+}
+/* @license-end */
diff --git a/docs/manual/search/all_0.js b/docs/manual/search/all_0.js
new file mode 100644
index 0000000..dc433d2
--- /dev/null
+++ b/docs/manual/search/all_0.js
@@ -0,0 +1,6 @@
+var searchData=
+[
+  ['a2de_0',['A2DE',['../classbayesnet_1_1_a2_d_e.html',1,'bayesnet']]],
+  ['aode_1',['AODE',['../classbayesnet_1_1_a_o_d_e.html',1,'bayesnet']]],
+  ['aodeld_2',['AODELd',['../classbayesnet_1_1_a_o_d_e_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_1.js b/docs/manual/search/all_1.js
new file mode 100644
index 0000000..52180aa
--- /dev/null
+++ b/docs/manual/search/all_1.js
@@ -0,0 +1,7 @@
+var searchData=
+[
+  ['baseclassifier_0',['BaseClassifier',['../classbayesnet_1_1_base_classifier.html',1,'bayesnet']]],
+  ['boost_1',['Boost',['../classbayesnet_1_1_boost.html',1,'bayesnet']]],
+  ['boosta2de_2',['BoostA2DE',['../classbayesnet_1_1_boost_a2_d_e.html',1,'bayesnet']]],
+  ['boostaode_3',['BoostAODE',['../classbayesnet_1_1_boost_a_o_d_e.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_2.js b/docs/manual/search/all_2.js
new file mode 100644
index 0000000..6aed91c
--- /dev/null
+++ b/docs/manual/search/all_2.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['classifier_0',['Classifier',['../classbayesnet_1_1_classifier.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_3.js b/docs/manual/search/all_3.js
new file mode 100644
index 0000000..f513172
--- /dev/null
+++ b/docs/manual/search/all_3.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['ensemble_0',['Ensemble',['../classbayesnet_1_1_ensemble.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_4.js b/docs/manual/search/all_4.js
new file mode 100644
index 0000000..721cf82
--- /dev/null
+++ b/docs/manual/search/all_4.js
@@ -0,0 +1,5 @@
+var searchData=
+[
+  ['kdb_0',['KDB',['../classbayesnet_1_1_k_d_b.html',1,'bayesnet']]],
+  ['kdbld_1',['KDBLd',['../classbayesnet_1_1_k_d_b_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_5.js b/docs/manual/search/all_5.js
new file mode 100644
index 0000000..5efa2bd
--- /dev/null
+++ b/docs/manual/search/all_5.js
@@ -0,0 +1,5 @@
+var searchData=
+[
+  ['network_0',['Network',['../classbayesnet_1_1_network.html',1,'bayesnet']]],
+  ['node_1',['Node',['../classbayesnet_1_1_node.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_6.js b/docs/manual/search/all_6.js
new file mode 100644
index 0000000..4e9c1ce
--- /dev/null
+++ b/docs/manual/search/all_6.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['proposal_0',['Proposal',['../classbayesnet_1_1_proposal.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_7.js b/docs/manual/search/all_7.js
new file mode 100644
index 0000000..3c7da60
--- /dev/null
+++ b/docs/manual/search/all_7.js
@@ -0,0 +1,6 @@
+var searchData=
+[
+  ['spnde_0',['SPnDE',['../classbayesnet_1_1_s_pn_d_e.html',1,'bayesnet']]],
+  ['spode_1',['SPODE',['../classbayesnet_1_1_s_p_o_d_e.html',1,'bayesnet']]],
+  ['spodeld_2',['SPODELd',['../classbayesnet_1_1_s_p_o_d_e_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/all_8.js b/docs/manual/search/all_8.js
new file mode 100644
index 0000000..59e0076
--- /dev/null
+++ b/docs/manual/search/all_8.js
@@ -0,0 +1,5 @@
+var searchData=
+[
+  ['tan_0',['TAN',['../classbayesnet_1_1_t_a_n.html',1,'bayesnet']]],
+  ['tanld_1',['TANLd',['../classbayesnet_1_1_t_a_n_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_0.js b/docs/manual/search/classes_0.js
new file mode 100644
index 0000000..dc433d2
--- /dev/null
+++ b/docs/manual/search/classes_0.js
@@ -0,0 +1,6 @@
+var searchData=
+[
+  ['a2de_0',['A2DE',['../classbayesnet_1_1_a2_d_e.html',1,'bayesnet']]],
+  ['aode_1',['AODE',['../classbayesnet_1_1_a_o_d_e.html',1,'bayesnet']]],
+  ['aodeld_2',['AODELd',['../classbayesnet_1_1_a_o_d_e_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_1.js b/docs/manual/search/classes_1.js
new file mode 100644
index 0000000..52180aa
--- /dev/null
+++ b/docs/manual/search/classes_1.js
@@ -0,0 +1,7 @@
+var searchData=
+[
+  ['baseclassifier_0',['BaseClassifier',['../classbayesnet_1_1_base_classifier.html',1,'bayesnet']]],
+  ['boost_1',['Boost',['../classbayesnet_1_1_boost.html',1,'bayesnet']]],
+  ['boosta2de_2',['BoostA2DE',['../classbayesnet_1_1_boost_a2_d_e.html',1,'bayesnet']]],
+  ['boostaode_3',['BoostAODE',['../classbayesnet_1_1_boost_a_o_d_e.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_2.js b/docs/manual/search/classes_2.js
new file mode 100644
index 0000000..6aed91c
--- /dev/null
+++ b/docs/manual/search/classes_2.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['classifier_0',['Classifier',['../classbayesnet_1_1_classifier.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_3.js b/docs/manual/search/classes_3.js
new file mode 100644
index 0000000..f513172
--- /dev/null
+++ b/docs/manual/search/classes_3.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['ensemble_0',['Ensemble',['../classbayesnet_1_1_ensemble.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_4.js b/docs/manual/search/classes_4.js
new file mode 100644
index 0000000..721cf82
--- /dev/null
+++ b/docs/manual/search/classes_4.js
@@ -0,0 +1,5 @@
+var searchData=
+[
+  ['kdb_0',['KDB',['../classbayesnet_1_1_k_d_b.html',1,'bayesnet']]],
+  ['kdbld_1',['KDBLd',['../classbayesnet_1_1_k_d_b_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_5.js b/docs/manual/search/classes_5.js
new file mode 100644
index 0000000..5efa2bd
--- /dev/null
+++ b/docs/manual/search/classes_5.js
@@ -0,0 +1,5 @@
+var searchData=
+[
+  ['network_0',['Network',['../classbayesnet_1_1_network.html',1,'bayesnet']]],
+  ['node_1',['Node',['../classbayesnet_1_1_node.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_6.js b/docs/manual/search/classes_6.js
new file mode 100644
index 0000000..4e9c1ce
--- /dev/null
+++ b/docs/manual/search/classes_6.js
@@ -0,0 +1,4 @@
+var searchData=
+[
+  ['proposal_0',['Proposal',['../classbayesnet_1_1_proposal.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_7.js b/docs/manual/search/classes_7.js
new file mode 100644
index 0000000..3c7da60
--- /dev/null
+++ b/docs/manual/search/classes_7.js
@@ -0,0 +1,6 @@
+var searchData=
+[
+  ['spnde_0',['SPnDE',['../classbayesnet_1_1_s_pn_d_e.html',1,'bayesnet']]],
+  ['spode_1',['SPODE',['../classbayesnet_1_1_s_p_o_d_e.html',1,'bayesnet']]],
+  ['spodeld_2',['SPODELd',['../classbayesnet_1_1_s_p_o_d_e_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/classes_8.js b/docs/manual/search/classes_8.js
new file mode 100644
index 0000000..59e0076
--- /dev/null
+++ b/docs/manual/search/classes_8.js
@@ -0,0 +1,5 @@
+var searchData=
+[
+  ['tan_0',['TAN',['../classbayesnet_1_1_t_a_n.html',1,'bayesnet']]],
+  ['tanld_1',['TANLd',['../classbayesnet_1_1_t_a_n_ld.html',1,'bayesnet']]]
+];
diff --git a/docs/manual/search/close.svg b/docs/manual/search/close.svg
new file mode 100644
index 0000000..337d6cc
--- /dev/null
+++ b/docs/manual/search/close.svg
@@ -0,0 +1,18 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:xlink="http://www.w3.org/1999/xlink"
+   viewBox="0 0 11 11"
+   height="11"
+   width="11"
+   id="svg2"
+   version="1.1">
+  <defs
+     id="defs6" />
+  <path
+     id="path12"
+     d="M 5.5 0.5 A 5 5 0 0 0 0.5 5.5 A 5 5 0 0 0 5.5 10.5 A 5 5 0 0 0 10.5 5.5 A 5 5 0 0 0 5.5 0.5 z M 3.5820312 3 A 0.58291923 0.58291923 0 0 1 4 3.1757812 L 5.5 4.6757812 L 7 3.1757812 A 0.58291923 0.58291923 0 0 1 7.4003906 3 A 0.58291923 0.58291923 0 0 1 7.8242188 4 L 6.3242188 5.5 L 7.8242188 7 A 0.58291923 0.58291923 0 1 1 7 7.8242188 L 5.5 6.3242188 L 4 7.8242188 A 0.58291923 0.58291923 0 1 1 3.1757812 7 L 4.6757812 5.5 L 3.1757812 4 A 0.58291923 0.58291923 0 0 1 3.5820312 3 z "
+     style="stroke-width:1.09870648;fill:#bababa;fill-opacity:1" />
+</svg>
diff --git a/docs/manual/search/mag.svg b/docs/manual/search/mag.svg
new file mode 100644
index 0000000..ffb6cf0
--- /dev/null
+++ b/docs/manual/search/mag.svg
@@ -0,0 +1,24 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:xlink="http://www.w3.org/1999/xlink"
+   viewBox="0 0 20 19"
+   height="19"
+   width="20"
+   id="svg2"
+   version="1.1">
+  <defs
+     id="defs6" />
+  <circle
+     r="3.5"
+     cy="8.5"
+     cx="5.5"
+     id="path4611"
+     style="fill:#000000;fill-opacity:0;stroke:#656565;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none" />
+  <path
+     id="path4630"
+     d="m 8.1085854,11.109059 2.7823556,2.782356"
+     style="fill:none;stroke:#656565;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+</svg>
diff --git a/docs/manual/search/mag_d.svg b/docs/manual/search/mag_d.svg
new file mode 100644
index 0000000..4122773
--- /dev/null
+++ b/docs/manual/search/mag_d.svg
@@ -0,0 +1,24 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:xlink="http://www.w3.org/1999/xlink"
+   viewBox="0 0 20 19"
+   height="19"
+   width="20"
+   id="svg2"
+   version="1.1">
+  <defs
+     id="defs6" />
+  <circle
+     r="3.5"
+     cy="8.5"
+     cx="5.5"
+     id="path4611"
+     style="fill:#000000;fill-opacity:0;stroke:#C5C5C5;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none" />
+  <path
+     id="path4630"
+     d="m 8.1085854,11.109059 2.7823556,2.782356"
+     style="fill:none;stroke:#C5C5C5;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+</svg>
diff --git a/docs/manual/search/mag_sel.svg b/docs/manual/search/mag_sel.svg
new file mode 100644
index 0000000..553dba8
--- /dev/null
+++ b/docs/manual/search/mag_sel.svg
@@ -0,0 +1,31 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg
+   xmlns="http://www.w3.org/2000/svg"
+   version="1.1"
+   id="svg2"
+   width="20"
+   height="19"
+   viewBox="0 0 20 19"
+  >
+  <defs
+     id="defs6" />
+  <circle
+     style="fill:#000000;fill-opacity:0;stroke:#656565;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none"
+     id="path4611"
+     cx="5.5"
+     cy="8.5"
+     r="3.5" />
+  <path
+     style="fill:#656565;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
+     d="M 11,7 13.5,10 16,7 Z"
+     id="path4609"
+     />
+  <path
+     style="fill:none;stroke:#656565;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+     d="m 8.1085854,11.109059 2.7823556,2.782356"
+     id="path4630"
+     />
+</svg>
diff --git a/docs/manual/search/mag_seld.svg b/docs/manual/search/mag_seld.svg
new file mode 100644
index 0000000..c906f84
--- /dev/null
+++ b/docs/manual/search/mag_seld.svg
@@ -0,0 +1,31 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
+ "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg
+   xmlns="http://www.w3.org/2000/svg"
+   version="1.1"
+   id="svg2"
+   width="20"
+   height="19"
+   viewBox="0 0 20 19"
+  >
+  <defs
+     id="defs6" />
+  <circle
+     style="fill:#000000;fill-opacity:0;stroke:#c5C5C5;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none"
+     id="path4611"
+     cx="5.5"
+     cy="8.5"
+     r="3.5" />
+  <path
+     style="fill:#c5C5C5;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
+     d="M 11,7 13.5,10 16,7 Z"
+     id="path4609"
+     />
+  <path
+     style="fill:none;stroke:#c5C5C5;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+     d="m 8.1085854,11.109059 2.7823556,2.782356"
+     id="path4630"
+     />
+</svg>
diff --git a/docs/manual/search/search.css b/docs/manual/search/search.css
new file mode 100644
index 0000000..19f76f9
--- /dev/null
+++ b/docs/manual/search/search.css
@@ -0,0 +1,291 @@
+/*---------------- Search Box positioning */
+
+#main-menu > li:last-child {
+    /* This <li> object is the parent of the search bar */
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    height: 36px;
+    margin-right: 1em;
+}
+
+/*---------------- Search box styling */
+
+.SRPage * {
+    font-weight: normal;
+    line-height: normal;
+}
+
+dark-mode-toggle {
+    margin-left: 5px;
+    display: flex;
+    float: right;
+}
+
+#MSearchBox {
+    display: inline-block;
+    white-space : nowrap;
+    background: var(--search-background-color);
+    border-radius: 0.65em;
+    box-shadow: var(--search-box-shadow);
+    z-index: 102;
+}
+
+#MSearchBox .left {
+    display: inline-block;
+    vertical-align: middle;
+    height: 1.4em;
+}
+
+#MSearchSelect {
+    display: inline-block;
+    vertical-align: middle;
+    width: 20px;
+    height: 19px;
+    background-image: var(--search-magnification-select-image);
+    margin: 0 0 0 0.3em;
+    padding: 0;
+}
+
+#MSearchSelectExt {
+    display: inline-block;
+    vertical-align: middle;
+    width: 10px;
+    height: 19px;
+    background-image: var(--search-magnification-image);
+    margin: 0 0 0 0.5em;
+    padding: 0;
+}
+
+
+#MSearchField {
+    display: inline-block;
+    vertical-align: middle;
+    width: 7.5em;
+    height: 19px;
+    margin: 0 0.15em;
+    padding: 0;
+    line-height: 1em;
+    border:none;
+    color: var(--search-foreground-color);
+    outline: none;
+    font-family: var(--font-family-search);
+    -webkit-border-radius: 0px;
+    border-radius: 0px;
+    background: none;
+}
+
+@media(hover: none) {
+    /* to avoid zooming on iOS */
+    #MSearchField {
+        font-size: 16px;
+    }
+}
+
+#MSearchBox .right {
+    display: inline-block;
+    vertical-align: middle;
+    width: 1.4em;
+    height: 1.4em;
+}
+
+#MSearchClose {
+    display: none;
+    font-size: inherit;
+    background : none;
+    border: none;
+    margin: 0;
+    padding: 0;
+    outline: none;
+
+}
+
+#MSearchCloseImg {
+    padding: 0.3em;
+    margin: 0;
+}
+
+.MSearchBoxActive #MSearchField {
+    color: var(--search-active-color);
+}
+
+
+
+/*---------------- Search filter selection */
+
+#MSearchSelectWindow {
+    display: none;
+    position: absolute;
+    left: 0; top: 0;
+    border: 1px solid var(--search-filter-border-color);
+    background-color: var(--search-filter-background-color);
+    z-index: 10001;
+    padding-top: 4px;
+    padding-bottom: 4px;
+    -moz-border-radius: 4px;
+    -webkit-border-top-left-radius: 4px;
+    -webkit-border-top-right-radius: 4px;
+    -webkit-border-bottom-left-radius: 4px;
+    -webkit-border-bottom-right-radius: 4px;
+    -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+}
+
+.SelectItem {
+    font: 8pt var(--font-family-search);
+    padding-left:  2px;
+    padding-right: 12px;
+    border: 0px;
+}
+
+span.SelectionMark {
+    margin-right: 4px;
+    font-family: var(--font-family-monospace);
+    outline-style: none;
+    text-decoration: none;
+}
+
+a.SelectItem {
+    display: block;
+    outline-style: none;
+    color: var(--search-filter-foreground-color);
+    text-decoration: none;
+    padding-left:   6px;
+    padding-right: 12px;
+}
+
+a.SelectItem:focus,
+a.SelectItem:active {
+    color: var(--search-filter-foreground-color);
+    outline-style: none;
+    text-decoration: none;
+}
+
+a.SelectItem:hover {
+    color: var(--search-filter-highlight-text-color);
+    background-color: var(--search-filter-highlight-bg-color);
+    outline-style: none;
+    text-decoration: none;
+    cursor: pointer;
+    display: block;
+}
+
+/*---------------- Search results window */
+
+iframe#MSearchResults {
+    /*width: 60ex;*/
+    height: 15em;
+}
+
+#MSearchResultsWindow {
+    display: none;
+    position: absolute;
+    left: 0; top: 0;
+    border: 1px solid var(--search-results-border-color);
+    background-color: var(--search-results-background-color);
+    z-index:10000;
+    width: 300px;
+    height: 400px;
+    overflow: auto;
+}
+
+/* ----------------------------------- */
+
+
+#SRIndex {
+    clear:both; 
+}
+
+.SREntry {
+    font-size: 10pt;
+    padding-left: 1ex;
+}
+
+.SRPage .SREntry {
+    font-size: 8pt;
+    padding: 1px 5px;
+}
+
+div.SRPage {
+    margin: 5px 2px;
+    background-color: var(--search-results-background-color);
+}
+
+.SRChildren {
+    padding-left: 3ex; padding-bottom: .5em 
+}
+
+.SRPage .SRChildren {
+    display: none;
+}
+
+.SRSymbol {
+    font-weight: bold;
+    color: var(--search-results-foreground-color);
+    font-family: var(--font-family-search);
+    text-decoration: none;
+    outline: none;
+}
+
+a.SRScope {
+    display: block;
+    color: var(--search-results-foreground-color);
+    font-family: var(--font-family-search);
+    font-size: 8pt;
+    text-decoration: none;
+    outline: none;
+}
+
+a.SRSymbol:focus, a.SRSymbol:active,
+a.SRScope:focus, a.SRScope:active {
+    text-decoration: underline;
+}
+
+span.SRScope {
+    padding-left: 4px;
+    font-family: var(--font-family-search);
+}
+
+.SRPage .SRStatus {
+    padding: 2px 5px;
+    font-size: 8pt;
+    font-style: italic;
+    font-family: var(--font-family-search);
+}
+
+.SRResult {
+    display: none;
+}
+
+div.searchresults {
+    margin-left: 10px;
+    margin-right: 10px;
+}
+
+/*---------------- External search page results */
+
+.pages b {
+   color: white;
+   padding: 5px 5px 3px 5px;
+   background-image: var(--nav-gradient-active-image-parent);
+   background-repeat: repeat-x;
+   text-shadow: 0 1px 1px #000000;
+}
+
+.pages {
+    line-height: 17px;
+    margin-left: 4px;
+    text-decoration: none;
+}
+
+.hl {
+    font-weight: bold;
+}
+
+#searchresults {
+    margin-bottom: 20px;
+}
+
+.searchpages {
+    margin-top: 10px;
+}
+
diff --git a/docs/manual/search/search.js b/docs/manual/search/search.js
new file mode 100644
index 0000000..666af01
--- /dev/null
+++ b/docs/manual/search/search.js
@@ -0,0 +1,694 @@
+/*
+ @licstart  The following is the entire license notice for the JavaScript code in this file.
+
+ The MIT License (MIT)
+
+ Copyright (C) 1997-2020 by Dimitri van Heesch
+
+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software
+ and associated documentation files (the "Software"), to deal in the Software without restriction,
+ including without limitation the rights to use, copy, modify, merge, publish, distribute,
+ sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
+ furnished to do so, subject to the following conditions:
+
+ The above copyright notice and this permission notice shall be included in all copies or
+ substantial portions of the Software.
+
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
+ BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+ DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+ @licend  The above is the entire license notice for the JavaScript code in this file
+ */
+const SEARCH_COOKIE_NAME = ''+'search_grp';
+
+const searchResults = new SearchResults();
+
+/* A class handling everything associated with the search panel.
+
+   Parameters:
+   name - The name of the global variable that will be
+          storing this instance.  Is needed to be able to set timeouts.
+   resultPath - path to use for external files
+*/
+function SearchBox(name, resultsPath, extension) {
+  if (!name || !resultsPath) {  alert("Missing parameters to SearchBox."); }
+  if (!extension || extension == "") { extension = ".html"; }
+
+  function getXPos(item) {
+    let x = 0;
+    if (item.offsetWidth) {
+      while (item && item!=document.body) {
+        x   += item.offsetLeft;
+        item = item.offsetParent;
+      }
+    }
+    return x;
+  }
+
+  function getYPos(item) {
+    let y = 0;
+    if (item.offsetWidth) {
+      while (item && item!=document.body) {
+        y   += item.offsetTop;
+        item = item.offsetParent;
+      }
+    }
+    return y;
+  }
+
+  // ---------- Instance variables
+  this.name                  = name;
+  this.resultsPath           = resultsPath;
+  this.keyTimeout            = 0;
+  this.keyTimeoutLength      = 500;
+  this.closeSelectionTimeout = 300;
+  this.lastSearchValue       = "";
+  this.lastResultsPage       = "";
+  this.hideTimeout           = 0;
+  this.searchIndex           = 0;
+  this.searchActive          = false;
+  this.extension             = extension;
+
+  // ----------- DOM Elements
+
+  this.DOMSearchField              = () => document.getElementById("MSearchField");
+  this.DOMSearchSelect             = () => document.getElementById("MSearchSelect");
+  this.DOMSearchSelectWindow       = () => document.getElementById("MSearchSelectWindow");
+  this.DOMPopupSearchResults       = () => document.getElementById("MSearchResults");
+  this.DOMPopupSearchResultsWindow = () => document.getElementById("MSearchResultsWindow");
+  this.DOMSearchClose              = () => document.getElementById("MSearchClose");
+  this.DOMSearchBox                = () => document.getElementById("MSearchBox");
+
+  // ------------ Event Handlers
+
+  // Called when focus is added or removed from the search field.
+  this.OnSearchFieldFocus = function(isActive) {
+    this.Activate(isActive);
+  }
+
+  this.OnSearchSelectShow = function() {
+    const searchSelectWindow = this.DOMSearchSelectWindow();
+    const searchField        = this.DOMSearchSelect();
+
+    const left = getXPos(searchField);
+    const top  = getYPos(searchField) + searchField.offsetHeight;
+
+    // show search selection popup
+    searchSelectWindow.style.display='block';
+    searchSelectWindow.style.left =  left + 'px';
+    searchSelectWindow.style.top  =  top  + 'px';
+
+    // stop selection hide timer
+    if (this.hideTimeout) {
+      clearTimeout(this.hideTimeout);
+      this.hideTimeout=0;
+    }
+    return false; // to avoid "image drag" default event
+  }
+
+  this.OnSearchSelectHide = function() {
+    this.hideTimeout = setTimeout(this.CloseSelectionWindow.bind(this),
+                                  this.closeSelectionTimeout);
+  }
+
+  // Called when the content of the search field is changed.
+  this.OnSearchFieldChange = function(evt) {
+    if (this.keyTimeout) { // kill running timer
+      clearTimeout(this.keyTimeout);
+      this.keyTimeout = 0;
+    }
+
+    const e = evt ? evt : window.event; // for IE
+    if (e.keyCode==40 || e.keyCode==13) {
+      if (e.shiftKey==1) {
+        this.OnSearchSelectShow();
+        const win=this.DOMSearchSelectWindow();
+        for (let i=0;i<win.childNodes.length;i++) {
+          const child = win.childNodes[i]; // get span within a
+          if (child.className=='SelectItem') {
+            child.focus();
+            return;
+          }
+        }
+        return;
+      } else {
+        const elem = searchResults.NavNext(0);
+        if (elem) elem.focus();
+      }
+    } else if (e.keyCode==27) { // Escape out of the search field
+      e.stopPropagation();
+      this.DOMSearchField().blur();
+      this.DOMPopupSearchResultsWindow().style.display = 'none';
+      this.DOMSearchClose().style.display = 'none';
+      this.lastSearchValue = '';
+      this.Activate(false);
+      return;
+    }
+
+    // strip whitespaces
+    const searchValue = this.DOMSearchField().value.replace(/ +/g, "");
+
+    if (searchValue != this.lastSearchValue) { // search value has changed
+      if (searchValue != "") { // non-empty search
+        // set timer for search update
+        this.keyTimeout = setTimeout(this.Search.bind(this), this.keyTimeoutLength);
+      } else { // empty search field
+        this.DOMPopupSearchResultsWindow().style.display = 'none';
+        this.DOMSearchClose().style.display = 'none';
+        this.lastSearchValue = '';
+      }
+    }
+  }
+
+  this.SelectItemCount = function() {
+    let count=0;
+    const win=this.DOMSearchSelectWindow();
+    for (let i=0;i<win.childNodes.length;i++) {
+      const child = win.childNodes[i]; // get span within a
+      if (child.className=='SelectItem') {
+        count++;
+      }
+    }
+    return count;
+  }
+
+  this.GetSelectionIdByName = function(name) {
+    let j=0;
+    const win=this.DOMSearchSelectWindow();
+    for (let i=0;i<win.childNodes.length;i++) {
+      const child = win.childNodes[i];
+      if (child.className=='SelectItem') {
+        if (child.childNodes[1].nodeValue==name) {
+          return j;
+        }
+        j++;
+      }
+    }
+    return 0;
+  }
+
+  this.SelectItemSet = function(id) {
+    let j=0;
+    const win=this.DOMSearchSelectWindow();
+    for (let i=0;i<win.childNodes.length;i++) {
+      const child = win.childNodes[i]; // get span within a
+      if (child.className=='SelectItem') {
+        const node = child.firstChild;
+        if (j==id) {
+          node.innerHTML='&#8226;';
+          Cookie.writeSetting(SEARCH_COOKIE_NAME, child.childNodes[1].nodeValue, 0)
+        } else {
+          node.innerHTML='&#160;';
+        }
+        j++;
+      }
+    }
+  }
+
+  // Called when an search filter selection is made.
+  // set item with index id as the active item
+  this.OnSelectItem = function(id) {
+    this.searchIndex = id;
+    this.SelectItemSet(id);
+    const searchValue = this.DOMSearchField().value.replace(/ +/g, "");
+    if (searchValue!="" && this.searchActive) { // something was found -> do a search
+      this.Search();
+    }
+  }
+
+  this.OnSearchSelectKey = function(evt) {
+    const e = (evt) ? evt : window.event; // for IE
+    if (e.keyCode==40 && this.searchIndex<this.SelectItemCount()) { // Down
+      this.searchIndex++;
+      this.OnSelectItem(this.searchIndex);
+    } else if (e.keyCode==38 && this.searchIndex>0) { // Up
+      this.searchIndex--;
+      this.OnSelectItem(this.searchIndex);
+    } else if (e.keyCode==13 || e.keyCode==27) {
+      e.stopPropagation();
+      this.OnSelectItem(this.searchIndex);
+      this.CloseSelectionWindow();
+      this.DOMSearchField().focus();
+    }
+    return false;
+  }
+
+  // --------- Actions
+
+  // Closes the results window.
+  this.CloseResultsWindow = function() {
+    this.DOMPopupSearchResultsWindow().style.display = 'none';
+    this.DOMSearchClose().style.display = 'none';
+    this.Activate(false);
+  }
+
+  this.CloseSelectionWindow = function() {
+    this.DOMSearchSelectWindow().style.display = 'none';
+  }
+
+  // Performs a search.
+  this.Search = function() {
+    this.keyTimeout = 0;
+
+    // strip leading whitespace
+    const searchValue = this.DOMSearchField().value.replace(/^ +/, "");
+
+    const code = searchValue.toLowerCase().charCodeAt(0);
+    let idxChar = searchValue.substr(0, 1).toLowerCase();
+    if ( 0xD800 <= code && code <= 0xDBFF && searchValue > 1) { // surrogate pair
+      idxChar = searchValue.substr(0, 2);
+    }
+
+    let jsFile;
+    let idx = indexSectionsWithContent[this.searchIndex].indexOf(idxChar);
+    if (idx!=-1) {
+      const hexCode=idx.toString(16);
+      jsFile = this.resultsPath + indexSectionNames[this.searchIndex] + '_' + hexCode + '.js';
+    }
+
+    const loadJS = function(url, impl, loc) {
+      const scriptTag = document.createElement('script');
+      scriptTag.src = url;
+      scriptTag.onload = impl;
+      scriptTag.onreadystatechange = impl;
+      loc.appendChild(scriptTag);
+    }
+
+    const domPopupSearchResultsWindow = this.DOMPopupSearchResultsWindow();
+    const domSearchBox = this.DOMSearchBox();
+    const domPopupSearchResults = this.DOMPopupSearchResults();
+    const domSearchClose = this.DOMSearchClose();
+    const resultsPath = this.resultsPath;
+
+    const handleResults = function() {
+      document.getElementById("Loading").style.display="none";
+      if (typeof searchData !== 'undefined') {
+        createResults(resultsPath);
+        document.getElementById("NoMatches").style.display="none";
+      }
+
+      if (idx!=-1) {
+        searchResults.Search(searchValue);
+      } else { // no file with search results => force empty search results
+        searchResults.Search('====');
+      }
+
+      if (domPopupSearchResultsWindow.style.display!='block') {
+        domSearchClose.style.display = 'inline-block';
+        let left = getXPos(domSearchBox) + 150;
+        let top  = getYPos(domSearchBox) + 20;
+        domPopupSearchResultsWindow.style.display = 'block';
+        left -= domPopupSearchResults.offsetWidth;
+        const maxWidth  = document.body.clientWidth;
+        const maxHeight = document.body.clientHeight;
+        let width = 300;
+        if (left<10) left=10;
+        if (width+left+8>maxWidth) width=maxWidth-left-8;
+        let height = 400;
+        if (height+top+8>maxHeight) height=maxHeight-top-8;
+        domPopupSearchResultsWindow.style.top     = top  + 'px';
+        domPopupSearchResultsWindow.style.left    = left + 'px';
+        domPopupSearchResultsWindow.style.width   = width + 'px';
+        domPopupSearchResultsWindow.style.height  = height + 'px';
+      }
+    }
+
+    if (jsFile) {
+      loadJS(jsFile, handleResults, this.DOMPopupSearchResultsWindow());
+    } else {
+      handleResults();
+    }
+
+    this.lastSearchValue = searchValue;
+  }
+
+  // -------- Activation Functions
+
+  // Activates or deactivates the search panel, resetting things to
+  // their default values if necessary.
+  this.Activate = function(isActive) {
+    if (isActive || // open it
+      this.DOMPopupSearchResultsWindow().style.display == 'block'
+    ) {
+      this.DOMSearchBox().className = 'MSearchBoxActive';
+      this.searchActive = true;
+    } else if (!isActive) { // directly remove the panel
+      this.DOMSearchBox().className = 'MSearchBoxInactive';
+      this.searchActive             = false;
+      this.lastSearchValue          = ''
+      this.lastResultsPage          = '';
+      this.DOMSearchField().value   = '';
+    }
+  }
+}
+
+// -----------------------------------------------------------------------
+
+// The class that handles everything on the search results page.
+function SearchResults() {
+
+  function convertToId(search) {
+    let result = '';
+    for (let i=0;i<search.length;i++) {
+      const c = search.charAt(i);
+      const cn = c.charCodeAt(0);
+      if (c.match(/[a-z0-9\u0080-\uFFFF]/)) {
+        result+=c;
+      } else if (cn<16) {
+        result+="_0"+cn.toString(16);
+      } else {
+        result+="_"+cn.toString(16);
+      }
+    }
+    return result;
+  }
+
+  // The number of matches from the last run of <Search()>.
+  this.lastMatchCount = 0;
+  this.lastKey = 0;
+  this.repeatOn = false;
+
+  // Toggles the visibility of the passed element ID.
+  this.FindChildElement = function(id) {
+    const parentElement = document.getElementById(id);
+    let element = parentElement.firstChild;
+
+    while (element && element!=parentElement) {
+      if (element.nodeName.toLowerCase() == 'div' && element.className == 'SRChildren') {
+        return element;
+      }
+
+      if (element.nodeName.toLowerCase() == 'div' && element.hasChildNodes()) {
+        element = element.firstChild;
+      } else if (element.nextSibling) {
+        element = element.nextSibling;
+      } else {
+        do {
+          element = element.parentNode;
+        }
+        while (element && element!=parentElement && !element.nextSibling);
+
+        if (element && element!=parentElement) {
+          element = element.nextSibling;
+        }
+      }
+    }
+  }
+
+  this.Toggle = function(id) {
+    const element = this.FindChildElement(id);
+    if (element) {
+      if (element.style.display == 'block') {
+        element.style.display = 'none';
+      } else {
+        element.style.display = 'block';
+      }
+    }
+  }
+
+  // Searches for the passed string.  If there is no parameter,
+  // it takes it from the URL query.
+  //
+  // Always returns true, since other documents may try to call it
+  // and that may or may not be possible.
+  this.Search = function(search) {
+    if (!search) { // get search word from URL
+      search = window.location.search;
+      search = search.substring(1);  // Remove the leading '?'
+      search = unescape(search);
+    }
+
+    search = search.replace(/^ +/, ""); // strip leading spaces
+    search = search.replace(/ +$/, ""); // strip trailing spaces
+    search = search.toLowerCase();
+    search = convertToId(search);
+
+    const resultRows = document.getElementsByTagName("div");
+    let matches = 0;
+
+    let i = 0;
+    while (i < resultRows.length) {
+      const row = resultRows.item(i);
+      if (row.className == "SRResult") {
+        let rowMatchName = row.id.toLowerCase();
+        rowMatchName = rowMatchName.replace(/^sr\d*_/, ''); // strip 'sr123_'
+
+        if (search.length<=rowMatchName.length &&
+          rowMatchName.substr(0, search.length)==search) {
+          row.style.display = 'block';
+          matches++;
+        } else {
+          row.style.display = 'none';
+        }
+      }
+      i++;
+    }
+    document.getElementById("Searching").style.display='none';
+    if (matches == 0) { // no results
+      document.getElementById("NoMatches").style.display='block';
+    } else { // at least one result
+      document.getElementById("NoMatches").style.display='none';
+    }
+    this.lastMatchCount = matches;
+    return true;
+  }
+
+  // return the first item with index index or higher that is visible
+  this.NavNext = function(index) {
+    let focusItem;
+    for (;;) {
+      const focusName = 'Item'+index;
+      focusItem = document.getElementById(focusName);
+      if (focusItem && focusItem.parentNode.parentNode.style.display=='block') {
+        break;
+      } else if (!focusItem) { // last element
+        break;
+      }
+      focusItem=null;
+      index++;
+    }
+    return focusItem;
+  }
+
+  this.NavPrev = function(index) {
+    let focusItem;
+    for (;;) {
+      const focusName = 'Item'+index;
+      focusItem = document.getElementById(focusName);
+      if (focusItem && focusItem.parentNode.parentNode.style.display=='block') {
+        break;
+      } else if (!focusItem) { // last element
+        break;
+      }
+      focusItem=null;
+      index--;
+    }
+    return focusItem;
+  }
+
+  this.ProcessKeys = function(e) {
+    if (e.type == "keydown") {
+      this.repeatOn = false;
+      this.lastKey = e.keyCode;
+    } else if (e.type == "keypress") {
+      if (!this.repeatOn) {
+        if (this.lastKey) this.repeatOn = true;
+        return false; // ignore first keypress after keydown
+      }
+    } else if (e.type == "keyup") {
+      this.lastKey = 0;
+      this.repeatOn = false;
+    }
+    return this.lastKey!=0;
+  }
+
+  this.Nav = function(evt,itemIndex) {
+    const e  = (evt) ? evt : window.event; // for IE
+    if (e.keyCode==13) return true;
+    if (!this.ProcessKeys(e)) return false;
+
+    if (this.lastKey==38) { // Up
+      const newIndex = itemIndex-1;
+      let focusItem = this.NavPrev(newIndex);
+      if (focusItem) {
+        let child = this.FindChildElement(focusItem.parentNode.parentNode.id);
+        if (child && child.style.display == 'block') { // children visible
+          let n=0;
+          let tmpElem;
+          for (;;) { // search for last child
+            tmpElem = document.getElementById('Item'+newIndex+'_c'+n);
+            if (tmpElem) {
+              focusItem = tmpElem;
+            } else { // found it!
+              break;
+            }
+            n++;
+          }
+        }
+      }
+      if (focusItem) {
+        focusItem.focus();
+      } else { // return focus to search field
+        document.getElementById("MSearchField").focus();
+      }
+    } else if (this.lastKey==40) { // Down
+      const newIndex = itemIndex+1;
+      let focusItem;
+      const item = document.getElementById('Item'+itemIndex);
+      const elem = this.FindChildElement(item.parentNode.parentNode.id);
+      if (elem && elem.style.display == 'block') { // children visible
+        focusItem = document.getElementById('Item'+itemIndex+'_c0');
+      }
+      if (!focusItem) focusItem = this.NavNext(newIndex);
+      if (focusItem)  focusItem.focus();
+    } else if (this.lastKey==39) { // Right
+      const item = document.getElementById('Item'+itemIndex);
+      const elem = this.FindChildElement(item.parentNode.parentNode.id);
+      if (elem) elem.style.display = 'block';
+    } else if (this.lastKey==37) { // Left
+      const item = document.getElementById('Item'+itemIndex);
+      const elem = this.FindChildElement(item.parentNode.parentNode.id);
+      if (elem) elem.style.display = 'none';
+    } else if (this.lastKey==27) { // Escape
+      e.stopPropagation();
+      searchBox.CloseResultsWindow();
+      document.getElementById("MSearchField").focus();
+    } else if (this.lastKey==13) { // Enter
+      return true;
+    }
+    return false;
+  }
+
+  this.NavChild = function(evt,itemIndex,childIndex) {
+    const e  = (evt) ? evt : window.event; // for IE
+    if (e.keyCode==13) return true;
+    if (!this.ProcessKeys(e)) return false;
+
+    if (this.lastKey==38) { // Up
+      if (childIndex>0) {
+        const newIndex = childIndex-1;
+        document.getElementById('Item'+itemIndex+'_c'+newIndex).focus();
+      } else { // already at first child, jump to parent
+        document.getElementById('Item'+itemIndex).focus();
+      }
+    } else if (this.lastKey==40) { // Down
+      const newIndex = childIndex+1;
+      let elem = document.getElementById('Item'+itemIndex+'_c'+newIndex);
+      if (!elem) { // last child, jump to parent next parent
+        elem = this.NavNext(itemIndex+1);
+      }
+      if (elem) {
+        elem.focus();
+      }
+    } else if (this.lastKey==27) { // Escape
+      e.stopPropagation();
+      searchBox.CloseResultsWindow();
+      document.getElementById("MSearchField").focus();
+    } else if (this.lastKey==13) { // Enter
+      return true;
+    }
+    return false;
+  }
+}
+
+function createResults(resultsPath) {
+
+  function setKeyActions(elem,action) {
+    elem.setAttribute('onkeydown',action);
+    elem.setAttribute('onkeypress',action);
+    elem.setAttribute('onkeyup',action);
+  }
+
+  function setClassAttr(elem,attr) {
+    elem.setAttribute('class',attr);
+    elem.setAttribute('className',attr);
+  }
+
+  const results = document.getElementById("SRResults");
+  results.innerHTML = '';
+  searchData.forEach((elem,index) => {
+    const id = elem[0];
+    const srResult = document.createElement('div');
+    srResult.setAttribute('id','SR_'+id);
+    setClassAttr(srResult,'SRResult');
+    const srEntry = document.createElement('div');
+    setClassAttr(srEntry,'SREntry');
+    const srLink = document.createElement('a');
+    srLink.setAttribute('id','Item'+index);
+    setKeyActions(srLink,'return searchResults.Nav(event,'+index+')');
+    setClassAttr(srLink,'SRSymbol');
+    srLink.innerHTML = elem[1][0];
+    srEntry.appendChild(srLink);
+    if (elem[1].length==2) { // single result
+      srLink.setAttribute('href',resultsPath+elem[1][1][0]);
+      srLink.setAttribute('onclick','searchBox.CloseResultsWindow()');
+      if (elem[1][1][1]) {
+       srLink.setAttribute('target','_parent');
+      } else {
+       srLink.setAttribute('target','_blank');
+      }
+      const srScope = document.createElement('span');
+      setClassAttr(srScope,'SRScope');
+      srScope.innerHTML = elem[1][1][2];
+      srEntry.appendChild(srScope);
+    } else { // multiple results
+      srLink.setAttribute('href','javascript:searchResults.Toggle("SR_'+id+'")');
+      const srChildren = document.createElement('div');
+      setClassAttr(srChildren,'SRChildren');
+      for (let c=0; c<elem[1].length-1; c++) {
+        const srChild = document.createElement('a');
+        srChild.setAttribute('id','Item'+index+'_c'+c);
+        setKeyActions(srChild,'return searchResults.NavChild(event,'+index+','+c+')');
+        setClassAttr(srChild,'SRScope');
+        srChild.setAttribute('href',resultsPath+elem[1][c+1][0]);
+        srChild.setAttribute('onclick','searchBox.CloseResultsWindow()');
+        if (elem[1][c+1][1]) {
+         srChild.setAttribute('target','_parent');
+        } else {
+         srChild.setAttribute('target','_blank');
+        }
+        srChild.innerHTML = elem[1][c+1][2];
+        srChildren.appendChild(srChild);
+      }
+      srEntry.appendChild(srChildren);
+    }
+    srResult.appendChild(srEntry);
+    results.appendChild(srResult);
+  });
+}
+
+function init_search() {
+  const results = document.getElementById("MSearchSelectWindow");
+
+  results.tabIndex=0;
+  for (let key in indexSectionLabels) {
+    const link = document.createElement('a');
+    link.setAttribute('class','SelectItem');
+    link.setAttribute('onclick','searchBox.OnSelectItem('+key+')');
+    link.href='javascript:void(0)';
+    link.innerHTML='<span class="SelectionMark">&#160;</span>'+indexSectionLabels[key];
+    results.appendChild(link);
+  }
+
+  const input = document.getElementById("MSearchSelect");
+  const searchSelectWindow = document.getElementById("MSearchSelectWindow");
+  input.tabIndex=0;
+  input.addEventListener("keydown", function(event) {
+    if (event.keyCode==13 || event.keyCode==40) {
+      event.preventDefault();
+      if (searchSelectWindow.style.display == 'block') {
+        searchBox.CloseSelectionWindow();
+      } else {
+        searchBox.OnSearchSelectShow();
+        searchBox.DOMSearchSelectWindow().focus();
+      }
+    }
+  });
+  const name = Cookie.readSetting(SEARCH_COOKIE_NAME,0);
+  const id = searchBox.GetSelectionIdByName(name);
+  searchBox.OnSelectItem(id);
+}
+/* @license-end */
diff --git a/docs/manual/search/searchdata.js b/docs/manual/search/searchdata.js
new file mode 100644
index 0000000..7260cdb
--- /dev/null
+++ b/docs/manual/search/searchdata.js
@@ -0,0 +1,18 @@
+var indexSectionsWithContent =
+{
+  0: "abceknpst",
+  1: "abceknpst"
+};
+
+var indexSectionNames =
+{
+  0: "all",
+  1: "classes"
+};
+
+var indexSectionLabels =
+{
+  0: "All",
+  1: "Classes"
+};
+
diff --git a/docs/manual/splitbar.png b/docs/manual/splitbar.png
new file mode 100644
index 0000000000000000000000000000000000000000..fe895f2c58179b471a22d8320b39a4bd7312ec8e
GIT binary patch
literal 314
zcmeAS@N?(olHy`uVBq!ia0vp^Yzz!63>-{AmhX=Jf(#6djGiuzAr*{o?=JLmPLyc>
z_*`QK&+BH@jW<lVxsx`Ym~nPnqw$O~`M84{XS6<Mm0<Zit<Tk``D^RashfFq{wG<#
zZG2vRxL<$IhkFMSBd@N1`uRtp)t>rYJ7>r6%keRM@)Qyv8R=enp0jiI>aWlGyB58O
zFVR20d+y`K7vDw(hJF3;>dD*3-?v=<8M)@x|E<fHWtM%;-WUJ&>EGLnJsniYK!2U1
Y!`|5biEc?d1`HDhPgg&ebxsLQ02F6;9RL6T

literal 0
HcmV?d00001

diff --git a/docs/manual/splitbard.png b/docs/manual/splitbard.png
new file mode 100644
index 0000000000000000000000000000000000000000..8367416d757fd7b6dc4272b6432dc75a75abd068
GIT binary patch
literal 282
zcmeAS@N?(olHy`uVBq!ia0vp^Yzz!63>-{AmhX=Jf<Wq_r;B4q1>@VhhFKy35^fiT
zT~&lUj3=cDh^%3HDY9k5CEku}PHXNoNC(_$U3XPb<d2ww+4sWx@iO~d@7T)Z$L;%F
z_Vvfjr-#*_i?>&Q*ME25pT;2(*BOgAf<+R$lzakPG`kF31()Fx{L5Wrac|GQzjeE=
zueY1`Ze{#x<8=S|`~MgGetGce)#vN&|J{Cd^tS%;tBYTo?+^d68<#n_Y_xx`J||4O
V@QB{^CqU0Kc)I$ztaD0e0svEzbJzd?

literal 0
HcmV?d00001

diff --git a/docs/manual/sync_off.png b/docs/manual/sync_off.png
new file mode 100644
index 0000000000000000000000000000000000000000..3b443fc62892114406e3d399421b2a881b897acc
GIT binary patch
literal 853
zcmV-b1FHOqP)<h;3K|Lk000e1NJLTq000;O000;W1^@s6;CDUv0009VNkl<ZcmeI*
zOK4PA7{KxW<S|JmGnqI|rb(KahDirA+8B+gVk8A)%pe9yF;+3L5iKZG7xuBS&@L(k
z33MTXOIxMHjirbWgs8M;qhM?(_-v^nS(KzU#%Ih_`hB-^XYSm&39)2*I6vmhow@fr
z=iKj{vvuv-e;!~uA+biR6pf-n<cdGVuox5<#BBg4c>oT|#XixUYy%lpuf3i8{fX!o
zUyDD0jOrAiT^tq>fLSOOABs-#u{dV^F$b{L9&!2=9&RmV;;8s^x&UqB$PCj4FdKbh
zoB1WTskPUPu05XzFbA}=KZ-GP1fPpAfSs>6AHb12UlR%-i&uOlTpFNS7{jm@mkU1V
zh`nrXr~+^lsV-s1dkZOaI|kYyVj3WBpPCY{n~yd%u%e+d=f%`N0FItMPtdgBb@py;
zq@v6NVArhyTC7)ULw-Jy8y42S1~4n(3LkrW8mW(F-4oXUP3E`e#g**YyqI7h-J2zK
zK{m9##m4ri!7N>CqQqCcnI3hqo1I;Yh&QLNY4T`*ptiQGozK>FF$!$+84Z`xwmeMh
zJ0WT+OH$WYFALEaGj2_l+#DC3t7_S`vHpSivNeFbP6+r50cO<q-Bsh$IuZaopT|9E
z-75alp&U9s%(|8uI^NA(#AD;nc=%{ivdZX(QFJ7~-yf%_Adjk`W@NhjJTyZ8*;|!n
z9=K#TJuZz+={YZ#>8iu)`7i%Z4BTPh@_m3Tk!nAm^)5Bqnr%Ov|Baunj#&RPtRuK&
z4RGz|D5HNrW83-#ydk}tVKJrNmyYt-sT<tBHx6XfOFDx2(ijpMiR>xLGlJY5nc&Re
zU4SgHNPx8~Yxwr$bsju?4q&%T1874xxzq+_%?h8_ofw~(bld=o3iC)LUNR*BY%c0y
zWd_jX{Y8`l%z+ol1$@Qa?Cy!(0CVIEeYpKZ`(9{z>3$CIe;pJDQk$m3p}$>xBm4lb
zKo{4S)`wdU9Ba9jJbVJ0C=SOefZe%d$8=2r={nu<_^a3~>c#t_U6dye5)JrR(_a^E
f@}b6j1K9lwFJq@>o)+Ry00000NkvXXu0mjfWa5j*

literal 0
HcmV?d00001

diff --git a/docs/manual/sync_on.png b/docs/manual/sync_on.png
new file mode 100644
index 0000000000000000000000000000000000000000..e08320fb64e6fa33b573005ed6d8fe294e19db76
GIT binary patch
literal 845
zcmV-T1G4;yP)<h;3K|Lk000e1NJLTq000;O000;W1^@s6;CDUv0009NNkl<ZcmeI*
zUr1D09KiAKIOC-Ar)j4&EoU~y1|7@QCTmeCsMH~fFw#|0OWK8m>Y;xxyHF2B5Wzm|
zOOGupOTn@c(JmBOl)e;XMNnZuiTJP>rM8<|Q`7I<ojWskx{8*sm){4kXJ+p2oO6HY
zoL5W7@h*VL_(ZL!7GaSmtl}SWU-XD;q7T4~4ZuW>_))aP?*T)ow&n59{}X4$3Goat
zgjs?*aasfbrokzG5cT4K=uG`E14xZl@z)F<o_Z}1zllSWC8!Z+rkFN>={P0Y^?$4t
z>v!teRnNZym<6h{7sLyF1V0HsfEl+l6TrZpsfr1}luH~F7L}ktXu|*uVX^RG$L0`K
zWs3j|0tIvVe(N%_?2{(iCPFGf#B6Hjy6o&}D$A%W%jfO8_W%ZO#-mh}EM$LMn7joJ
z05dHr!5Y92g+31l<%i1(=L1a1pXX+OYnalY>31V4K}BjyRe3)9n#;-cCVRD_IG1fT
zOKGeNY8q;TL@K{dj@D^scf&VCs*-Jb>8b>|`b*osv52-!A?BpbYtTQBns5EAU**$m
zSnVSm(teh>tQi*S*A>#ySc=n;`BHz`DuG4&g4Kf8lLhca+zvZ7t7RflD6-i-mcK=M
z!=^P$*u2)bkY5asG4gsss!Hn%u~>}kIW`vMs%lJLH+u*9<4PaV_c6U`KqWXQH%+Nu
zTv41O(^ZVi@qhjQdG!fbZw&y+2o!iYymO^?ud3{P*HdoX83YV*Uu_HB=?U&W9%AU#
z80}k1SS-CXTU7dcQlsm<^oYLxVSseqY6NO}dc`Nj?8vrhNuCdm@^{a3AQ_>6myOj+
z`1RsLUXF|dm|3k7s2jD(B{rzE>WI2scH8i1;=O5Cc9xB3^aJk%fQjqsu+kH#0=_5a
z0nCE8@dbQa-|YIuUVvG0L_IwHMEhOj$M<u9&-IHqnYs=DL+lbi3lG2ysF!p!_2H=p
zj-g89hmThki^;JHknVE4V`@zS$(ZbTd?1=dsrXLRiJbUBq7weAmVjEk@rP>j4Uq05
X8=0q~qBNan00000NkvXXu0mjfptF>5

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_a.png b/docs/manual/tab_a.png
new file mode 100644
index 0000000000000000000000000000000000000000..3b725c41c5a527a3a3e40097077d0e206a681247
GIT binary patch
literal 142
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QlXwMjv*C{Z|8b*H5dputLHD#
z=<0|*y7z(Vor?d;H&?EG&cXR}?!j-Lm&u1OOI7AIF5&c)RFE;&p0MYK>*Kl@eiymD
r@|NpwKX@^z+;{u_Z~trSBfrMKa%3`zocFjEXaR$#tDnm{r-UW|TZ1%4

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_ad.png b/docs/manual/tab_ad.png
new file mode 100644
index 0000000000000000000000000000000000000000..e34850acfc24be58da6d2fd1ccc6b29cc84fe34d
GIT binary patch
literal 135
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QhuH;jv*C{Z|5d*H3V=pKi{In
zd2jxLclDRPylmD}^l7{QOtL{vUjO{-WqItb5sQp2h-99b8^^Scr-=2mblCdZuUm?4
jzOJvgvt3{(cjKLW5(A@0qPS@<&}0TrS3j3^P6<r_{TVK|

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_b.png b/docs/manual/tab_b.png
new file mode 100644
index 0000000000000000000000000000000000000000..e2b4a8638cb3496a016eaed9e16ffc12846dea18
GIT binary patch
literal 169
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QU#tajv*C{Z}0l@H7kg?K0Lnr
z!j&C6_(~HV9oQ0Pa6x{-v0AGV_E?vLn<f<Rf3mJ=+uzfrOMlc%s`x4TZtnrR|B~W{
zyZP0m7vvtXV80W5^J2vvp97)4WrPK1-P<H^B$Ll|TGvzm;+92|BpdT89$b1Qf7x5g
UZ&RH}7SL`6Pgg&ebxsLQ0A}n&iU0rr

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_bd.png b/docs/manual/tab_bd.png
new file mode 100644
index 0000000000000000000000000000000000000000..91c25249869ffe5269c24f8c441e3f1bf75df400
GIT binary patch
literal 173
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QYD@)jv*C{Z|_EP9WoGMxiEXC
z*+er<&!~9SeFB;qdWZkM*Qnb6=Y<v@&*3w2PyYNmP%60gwdFMP&wo;^^nBV|3(M2*
z*jxC7^WBy{T+w*t)CB)8J1;C}`Wg1Eu&qNNCxPc5OM{{Il5M+!8{(pt&)hOwq4#ZF
XiX*3<piHC_(0&F_S3j3^P6<r_`0_!v

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_h.png b/docs/manual/tab_h.png
new file mode 100644
index 0000000000000000000000000000000000000000..fd5cb705488e60fcf30f56fcc951dee74f3b095b
GIT binary patch
literal 177
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QWc&qjv*C{Z}0jF9dr<AdpNI7
zaOs_6=O($9b?lc?Qk=SJVv5%FA{O^TY1^*qJ@<p}E}!uH_1eoPJ&tpVl={bg{Skd2
zp1FO|;|R90%G3WYZM5AU=A4%H?3qaQhHt%H9G|xYJ)ff*|MmI*zD3`*Z|LP?7d&26
cn!ZiLK0QM$CeyB_80ZEDPgg&ebxsLQ0C?O;!~g&Q

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_hd.png b/docs/manual/tab_hd.png
new file mode 100644
index 0000000000000000000000000000000000000000..2489273d4ce1d11d3f7557335244c02b9959351b
GIT binary patch
literal 180
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!Qq`U=jv*C{Z|8b*9dZzG*}eKq
zLz7a+10_jMu|=F8x0f5va$Ursw|7c<-`q2fuRgxI>y&q2{!U5bk+Tso_B!YCpDh>v
z{CM*1U8YvQRyBUHt^Ju0W_sq-?;9@_4equ-bavTs=gk796<RKfbH6P<&Zg{jpvTk5
g<odruKTrK<y!3{DoqTGTH_#ajp00i_>zopr0EBT&m;e9(

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_s.png b/docs/manual/tab_s.png
new file mode 100644
index 0000000000000000000000000000000000000000..ab478c95b67371d700a20869f7de1ddd73522d50
GIT binary patch
literal 184
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QuUrLjv*C{Z|^p8HaRdjTwH7)
zC?wLlL}}I{)n%R&r+1}IGmDnq;&J#%V6)9VsYhS`O^BVBQlxOUep0c$RENLq#g8A$
z)z7%K_bI&n@J+X_=x}fJoEKed-$<>=ZI-;YrdjIl`U`uzuDWSP?o#Dmo{%SgM#oan
kX~E1%D-|#H#QbHoIja2U-MgvsK&LQxy85}Sb4q9e0Efg%P5=M^

literal 0
HcmV?d00001

diff --git a/docs/manual/tab_sd.png b/docs/manual/tab_sd.png
new file mode 100644
index 0000000000000000000000000000000000000000..757a565ced4730f85c833fb2547d8e199ae68f19
GIT binary patch
literal 188
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!Qq7(&jv*C{Z|_!fH5o7*c=%9%
zcILh!EA=pAQKdx-Cdiev=v{eg{8Ht<{e8_NAN~b=)%W>-WDCE0PyDHGemi$BoXwcK
z{>e9^za6*c1ilttWw&V+U;WCPlV9{LdC~Ey%_H(qj`xgfES(4Yz5jSTZfCt`<jkg7
oB>4E$0YRsR*S^mTCR^;V&sxC8{l_Cp7w8-YPgg&ebxsLQ00$vXK>z>%

literal 0
HcmV?d00001

diff --git a/docs/manual/tabs.css b/docs/manual/tabs.css
new file mode 100644
index 0000000..fe4854a
--- /dev/null
+++ b/docs/manual/tabs.css
@@ -0,0 +1 @@
+.sm{position:relative;z-index:9999}.sm,.sm ul,.sm li{display:block;list-style:none;margin:0;padding:0;line-height:normal;direction:ltr;text-align:left;-webkit-tap-highlight-color:rgba(0,0,0,0)}.sm-rtl,.sm-rtl ul,.sm-rtl li{direction:rtl;text-align:right}.sm>li>h1,.sm>li>h2,.sm>li>h3,.sm>li>h4,.sm>li>h5,.sm>li>h6{margin:0;padding:0}.sm ul{display:none}.sm li,.sm a{position:relative}.sm a{display:block}.sm a.disabled{cursor:not-allowed}.sm:after{content:"\00a0";display:block;height:0;font:0/0 serif;clear:both;visibility:hidden;overflow:hidden}.sm,.sm *,.sm *:before,.sm *:after{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.main-menu-btn{position:relative;display:inline-block;width:36px;height:36px;text-indent:36px;margin-left:8px;white-space:nowrap;overflow:hidden;cursor:pointer;-webkit-tap-highlight-color:rgba(0,0,0,0)}.main-menu-btn-icon,.main-menu-btn-icon:before,.main-menu-btn-icon:after{position:absolute;top:50%;left:2px;height:2px;width:24px;background:var(--nav-menu-button-color);-webkit-transition:all .25s;transition:all .25s}.main-menu-btn-icon:before{content:'';top:-7px;left:0}.main-menu-btn-icon:after{content:'';top:7px;left:0}#main-menu-state:checked ~ .main-menu-btn .main-menu-btn-icon{height:0}#main-menu-state:checked ~ .main-menu-btn .main-menu-btn-icon:before{top:0;-webkit-transform:rotate(-45deg);transform:rotate(-45deg)}#main-menu-state:checked ~ .main-menu-btn .main-menu-btn-icon:after{top:0;-webkit-transform:rotate(45deg);transform:rotate(45deg)}#main-menu-state{position:absolute;width:1px;height:1px;margin:-1px;border:0;padding:0;overflow:hidden;clip:rect(1px,1px,1px,1px)}#main-menu-state:not(:checked) ~ #main-menu{display:none}#main-menu-state:checked ~ #main-menu{display:block}@media(min-width:768px){.main-menu-btn{position:absolute;top:-99999px}#main-menu-state:not(:checked) ~ #main-menu{display:block}}.sm-dox{background-image:var(--nav-gradient-image)}.sm-dox a,.sm-dox a:focus,.sm-dox a:hover,.sm-dox a:active{padding:0 12px;padding-right:43px;font-family:var(--font-family-nav);font-size:13px;font-weight:bold;line-height:36px;text-decoration:none;text-shadow:var(--nav-text-normal-shadow);color:var(--nav-text-normal-color);outline:0}.sm-dox a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:var(--nav-text-hover-shadow)}.sm-dox a.current{color:#d23600}.sm-dox a.disabled{color:#bbb}.sm-dox a span.sub-arrow{position:absolute;top:50%;margin-top:-14px;left:auto;right:3px;width:28px;height:28px;overflow:hidden;font:bold 12px/28px monospace !important;text-align:center;text-shadow:none;background:var(--nav-menu-toggle-color);-moz-border-radius:5px;-webkit-border-radius:5px;border-radius:5px}.sm-dox a span.sub-arrow:before{display:block;content:'+'}.sm-dox a.highlighted span.sub-arrow:before{display:block;content:'-'}.sm-dox>li:first-child>a,.sm-dox>li:first-child>:not(ul) a{-moz-border-radius:5px 5px 0 0;-webkit-border-radius:5px;border-radius:5px 5px 0 0}.sm-dox>li:last-child>a,.sm-dox>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul{-moz-border-radius:0 0 5px 5px;-webkit-border-radius:0;border-radius:0 0 5px 5px}.sm-dox>li:last-child>a.highlighted,.sm-dox>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a.highlighted{-moz-border-radius:0;-webkit-border-radius:0;border-radius:0}.sm-dox ul{background:var(--nav-menu-background-color)}.sm-dox ul a,.sm-dox ul a:focus,.sm-dox ul a:hover,.sm-dox ul a:active{font-size:12px;border-left:8px solid transparent;line-height:36px;text-shadow:none;background-color:var(--nav-menu-background-color);background-image:none}.sm-dox ul a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:0 1px 1px black}.sm-dox ul ul a,.sm-dox ul ul a:hover,.sm-dox ul ul a:focus,.sm-dox ul ul a:active{border-left:16px solid transparent}.sm-dox ul ul ul a,.sm-dox ul ul ul a:hover,.sm-dox ul ul ul a:focus,.sm-dox ul ul ul a:active{border-left:24px solid transparent}.sm-dox ul ul ul ul a,.sm-dox ul ul ul ul a:hover,.sm-dox ul ul ul ul a:focus,.sm-dox ul ul ul ul a:active{border-left:32px solid transparent}.sm-dox ul ul ul ul ul a,.sm-dox ul ul ul ul ul a:hover,.sm-dox ul ul ul ul ul a:focus,.sm-dox ul ul ul ul ul a:active{border-left:40px solid transparent}@media(min-width:768px){.sm-dox ul{position:absolute;width:12em}.sm-dox li{float:left}.sm-dox.sm-rtl li{float:right}.sm-dox ul li,.sm-dox.sm-rtl ul li,.sm-dox.sm-vertical li{float:none}.sm-dox a{white-space:nowrap}.sm-dox ul a,.sm-dox.sm-vertical a{white-space:normal}.sm-dox .sm-nowrap>li>a,.sm-dox .sm-nowrap>li>:not(ul) a{white-space:nowrap}.sm-dox{padding:0 10px;background-image:var(--nav-gradient-image);line-height:36px}.sm-dox a span.sub-arrow{top:50%;margin-top:-2px;right:12px;width:0;height:0;border-width:4px;border-style:solid dashed dashed dashed;border-color:var(--nav-text-normal-color) transparent transparent transparent;background:transparent;-moz-border-radius:0;-webkit-border-radius:0;border-radius:0}.sm-dox a,.sm-dox a:focus,.sm-dox a:active,.sm-dox a:hover,.sm-dox a.highlighted{padding:0 12px;background-image:var(--nav-separator-image);background-repeat:no-repeat;background-position:right;-moz-border-radius:0 !important;-webkit-border-radius:0;border-radius:0 !important}.sm-dox a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:var(--nav-text-hover-shadow)}.sm-dox a:hover span.sub-arrow{border-color:var(--nav-text-hover-color) transparent transparent transparent}.sm-dox a.has-submenu{padding-right:24px}.sm-dox li{border-top:0}.sm-dox>li>ul:before,.sm-dox>li>ul:after{content:'';position:absolute;top:-18px;left:30px;width:0;height:0;overflow:hidden;border-width:9px;border-style:dashed dashed solid dashed;border-color:transparent transparent #bbb transparent}.sm-dox>li>ul:after{top:-16px;left:31px;border-width:8px;border-color:transparent transparent var(--nav-menu-background-color) transparent}.sm-dox ul{border:1px solid #bbb;padding:5px 0;background:var(--nav-menu-background-color);-moz-border-radius:5px !important;-webkit-border-radius:5px;border-radius:5px !important;-moz-box-shadow:0 5px 9px rgba(0,0,0,0.2);-webkit-box-shadow:0 5px 9px rgba(0,0,0,0.2);box-shadow:0 5px 9px rgba(0,0,0,0.2)}.sm-dox ul a span.sub-arrow{right:8px;top:50%;margin-top:-5px;border-width:5px;border-color:transparent transparent transparent var(--nav-menu-foreground-color);border-style:dashed dashed dashed solid}.sm-dox ul a,.sm-dox ul a:hover,.sm-dox ul a:focus,.sm-dox ul a:active,.sm-dox ul a.highlighted{color:var(--nav-menu-foreground-color);background-image:none;border:0 !important}.sm-dox ul a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:var(--nav-text-hover-shadow)}.sm-dox ul a:hover span.sub-arrow{border-color:transparent transparent transparent var(--nav-text-hover-color)}.sm-dox span.scroll-up,.sm-dox span.scroll-down{position:absolute;display:none;visibility:hidden;overflow:hidden;background:var(--nav-menu-background-color);height:36px}.sm-dox span.scroll-up:hover,.sm-dox span.scroll-down:hover{background:#eee}.sm-dox span.scroll-up:hover span.scroll-up-arrow,.sm-dox span.scroll-up:hover span.scroll-down-arrow{border-color:transparent transparent #d23600 transparent}.sm-dox span.scroll-down:hover span.scroll-down-arrow{border-color:#d23600 transparent transparent transparent}.sm-dox span.scroll-up-arrow,.sm-dox span.scroll-down-arrow{position:absolute;top:0;left:50%;margin-left:-6px;width:0;height:0;overflow:hidden;border-width:6px;border-style:dashed dashed solid dashed;border-color:transparent transparent var(--nav-menu-foreground-color) transparent}.sm-dox span.scroll-down-arrow{top:8px;border-style:solid dashed dashed dashed;border-color:var(--nav-menu-foreground-color) transparent transparent transparent}.sm-dox.sm-rtl a.has-submenu{padding-right:12px;padding-left:24px}.sm-dox.sm-rtl a span.sub-arrow{right:auto;left:12px}.sm-dox.sm-rtl.sm-vertical a.has-submenu{padding:10px 20px}.sm-dox.sm-rtl.sm-vertical a span.sub-arrow{right:auto;left:8px;border-style:dashed solid dashed dashed;border-color:transparent #555 transparent transparent}.sm-dox.sm-rtl>li>ul:before{left:auto;right:30px}.sm-dox.sm-rtl>li>ul:after{left:auto;right:31px}.sm-dox.sm-rtl ul a.has-submenu{padding:10px 20px !important}.sm-dox.sm-rtl ul a span.sub-arrow{right:auto;left:8px;border-style:dashed solid dashed dashed;border-color:transparent #555 transparent transparent}.sm-dox.sm-vertical{padding:10px 0;-moz-border-radius:5px;-webkit-border-radius:5px;border-radius:5px}.sm-dox.sm-vertical a{padding:10px 20px}.sm-dox.sm-vertical a:hover,.sm-dox.sm-vertical a:focus,.sm-dox.sm-vertical a:active,.sm-dox.sm-vertical a.highlighted{background:#fff}.sm-dox.sm-vertical a.disabled{background-image:var(--nav-gradient-image)}.sm-dox.sm-vertical a span.sub-arrow{right:8px;top:50%;margin-top:-5px;border-width:5px;border-style:dashed dashed dashed solid;border-color:transparent transparent transparent #555}.sm-dox.sm-vertical>li>ul:before,.sm-dox.sm-vertical>li>ul:after{display:none}.sm-dox.sm-vertical ul a{padding:10px 20px}.sm-dox.sm-vertical ul a:hover,.sm-dox.sm-vertical ul a:focus,.sm-dox.sm-vertical ul a:active,.sm-dox.sm-vertical ul a.highlighted{background:#eee}.sm-dox.sm-vertical ul a.disabled{background:var(--nav-menu-background-color)}}
\ No newline at end of file

From d43be278211a366ca3ddc7c678bf6d66d7b95e34 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Wed, 22 May 2024 10:17:49 +0200
Subject: [PATCH 14/21] Remove manual and doc pages

---
 CMakeLists.txt                                |   16 +-
 docs/{Doxyfile => Doxyfile.in}                |    0
 docs/man3/bayesnet_A2DE.3                     |  257 --
 docs/man3/bayesnet_AODE.3                     |  257 --
 docs/man3/bayesnet_AODELd.3                   |  296 ---
 docs/man3/bayesnet_BaseClassifier.3           |  116 -
 docs/man3/bayesnet_Boost.3                    |  369 ---
 docs/man3/bayesnet_BoostA2DE.3                |  316 ---
 docs/man3/bayesnet_BoostAODE.3                |  316 ---
 docs/man3/bayesnet_Classifier.3               |  360 ---
 docs/man3/bayesnet_Ensemble.3                 |  348 ---
 docs/man3/bayesnet_KDB.3                      |  201 --
 docs/man3/bayesnet_KDBLd.3                    |  254 --
 docs/man3/bayesnet_Network.3                  |  223 --
 docs/man3/bayesnet_Node.3                     |  135 -
 docs/man3/bayesnet_Proposal.3                 |   95 -
 docs/man3/bayesnet_SPODE.3                    |  195 --
 docs/man3/bayesnet_SPODELd.3                  |  268 --
 docs/man3/bayesnet_SPnDE.3                    |  193 --
 docs/man3/bayesnet_TAN.3                      |  192 --
 docs/man3/bayesnet_TANLd.3                    |  244 --
 docs/manual/_a2_d_e_8cc_source.html           |  154 --
 docs/manual/_a2_d_e_8h_source.html            |  140 -
 docs/manual/_a_o_d_e_8cc_source.html          |  152 --
 docs/manual/_a_o_d_e_8h_source.html           |  140 -
 docs/manual/_a_o_d_e_ld_8cc_source.html       |  161 --
 docs/manual/_a_o_d_e_ld_8h_source.html        |  144 --
 docs/manual/_base_classifier_8h_source.html   |  162 --
 docs/manual/_boost_8cc_source.html            |  360 ---
 docs/manual/_boost_8h_source.html             |  170 --
 docs/manual/_boost_a2_d_e_8cc_source.html     |  281 ---
 docs/manual/_boost_a2_d_e_8h_source.html      |  143 --
 docs/manual/_boost_a_o_d_e_8cc_source.html    |  275 --
 docs/manual/_boost_a_o_d_e_8h_source.html     |  144 --
 docs/manual/_classifier_8cc_source.html       |  308 ---
 docs/manual/_classifier_8h_source.html        |  184 --
 docs/manual/_ensemble_8cc_source.html         |  336 ---
 docs/manual/_ensemble_8h_source.html          |  171 --
 docs/manual/_k_d_b_8cc_source.html            |  225 --
 docs/manual/_k_d_b_8h_source.html             |  145 --
 docs/manual/_k_d_b_ld_8cc_source.html         |  149 --
 docs/manual/_k_d_b_ld_8h_source.html          |  143 --
 docs/manual/_network_8cc_source.html          |  543 ----
 docs/manual/_network_8h_source.html           |  186 --
 docs/manual/_node_8cc_source.html             |  254 --
 docs/manual/_node_8h_source.html              |  159 --
 docs/manual/_proposal_8cc_source.html         |  243 --
 docs/manual/_proposal_8h_source.html          |  155 --
 docs/manual/_s_p_o_d_e_8cc_source.html        |  145 --
 docs/manual/_s_p_o_d_e_8h_source.html         |  141 --
 docs/manual/_s_p_o_d_e_ld_8cc_source.html     |  164 --
 docs/manual/_s_p_o_d_e_ld_8h_source.html      |  144 --
 docs/manual/_s_pn_d_e_8cc_source.html         |  152 --
 docs/manual/_s_pn_d_e_8h_source.html          |  144 --
 docs/manual/_t_a_n_8cc_source.html            |  159 --
 docs/manual/_t_a_n_8h_source.html             |  139 -
 docs/manual/_t_a_n_ld_8cc_source.html         |  150 --
 docs/manual/_t_a_n_ld_8h_source.html          |  143 --
 docs/manual/annotated.html                    |  137 -
 docs/manual/annotated_dup.js                  |   24 -
 docs/manual/bc_s.png                          |  Bin 676 -> 0 bytes
 docs/manual/bc_sd.png                         |  Bin 635 -> 0 bytes
 .../classbayesnet_1_1_a2_d_e-members.html     |  174 --
 docs/manual/classbayesnet_1_1_a2_d_e.html     |  420 ---
 .../classbayesnet_1_1_a2_d_e__coll__graph.map |   11 -
 .../classbayesnet_1_1_a2_d_e__coll__graph.md5 |    1 -
 .../classbayesnet_1_1_a2_d_e__coll__graph.png |  Bin 13836 -> 0 bytes
 ...assbayesnet_1_1_a2_d_e__inherit__graph.map |    9 -
 ...assbayesnet_1_1_a2_d_e__inherit__graph.md5 |    1 -
 ...assbayesnet_1_1_a2_d_e__inherit__graph.png |  Bin 9888 -> 0 bytes
 .../classbayesnet_1_1_a_o_d_e-members.html    |  174 --
 docs/manual/classbayesnet_1_1_a_o_d_e.html    |  420 ---
 ...classbayesnet_1_1_a_o_d_e__coll__graph.map |   11 -
 ...classbayesnet_1_1_a_o_d_e__coll__graph.md5 |    1 -
 ...classbayesnet_1_1_a_o_d_e__coll__graph.png |  Bin 13955 -> 0 bytes
 ...ssbayesnet_1_1_a_o_d_e__inherit__graph.map |    9 -
 ...ssbayesnet_1_1_a_o_d_e__inherit__graph.md5 |    1 -
 ...ssbayesnet_1_1_a_o_d_e__inherit__graph.png |  Bin 10014 -> 0 bytes
 .../classbayesnet_1_1_a_o_d_e_ld-members.html |  184 --
 docs/manual/classbayesnet_1_1_a_o_d_e_ld.html |  464 ----
 ...ssbayesnet_1_1_a_o_d_e_ld__coll__graph.map |   13 -
 ...ssbayesnet_1_1_a_o_d_e_ld__coll__graph.md5 |    1 -
 ...ssbayesnet_1_1_a_o_d_e_ld__coll__graph.png |  Bin 16871 -> 0 bytes
 ...ayesnet_1_1_a_o_d_e_ld__inherit__graph.map |   11 -
 ...ayesnet_1_1_a_o_d_e_ld__inherit__graph.md5 |    1 -
 ...ayesnet_1_1_a_o_d_e_ld__inherit__graph.png |  Bin 13060 -> 0 bytes
 ...sbayesnet_1_1_base_classifier-members.html |  142 --
 .../classbayesnet_1_1_base_classifier.html    |  299 ---
 ...et_1_1_base_classifier__inherit__graph.map |   33 -
 ...et_1_1_base_classifier__inherit__graph.md5 |    1 -
 ...et_1_1_base_classifier__inherit__graph.png |  Bin 43173 -> 0 bytes
 .../classbayesnet_1_1_boost-members.html      |  191 --
 docs/manual/classbayesnet_1_1_boost.html      |  845 -------
 .../classbayesnet_1_1_boost__coll__graph.map  |   11 -
 .../classbayesnet_1_1_boost__coll__graph.md5  |    1 -
 .../classbayesnet_1_1_boost__coll__graph.png  |  Bin 13587 -> 0 bytes
 ...lassbayesnet_1_1_boost__inherit__graph.map |   13 -
 ...lassbayesnet_1_1_boost__inherit__graph.md5 |    1 -
 ...lassbayesnet_1_1_boost__inherit__graph.png |  Bin 15507 -> 0 bytes
 ...lassbayesnet_1_1_boost_a2_d_e-members.html |  193 --
 .../classbayesnet_1_1_boost_a2_d_e.html       |  417 ---
 ...bayesnet_1_1_boost_a2_d_e__coll__graph.map |   13 -
 ...bayesnet_1_1_boost_a2_d_e__coll__graph.md5 |    1 -
 ...bayesnet_1_1_boost_a2_d_e__coll__graph.png |  Bin 16762 -> 0 bytes
 ...esnet_1_1_boost_a2_d_e__inherit__graph.map |   11 -
 ...esnet_1_1_boost_a2_d_e__inherit__graph.md5 |    1 -
 ...esnet_1_1_boost_a2_d_e__inherit__graph.png |  Bin 12635 -> 0 bytes
 ...assbayesnet_1_1_boost_a_o_d_e-members.html |  193 --
 .../classbayesnet_1_1_boost_a_o_d_e.html      |  417 ---
 ...ayesnet_1_1_boost_a_o_d_e__coll__graph.map |   13 -
 ...ayesnet_1_1_boost_a_o_d_e__coll__graph.md5 |    1 -
 ...ayesnet_1_1_boost_a_o_d_e__coll__graph.png |  Bin 16880 -> 0 bytes
 ...snet_1_1_boost_a_o_d_e__inherit__graph.map |   11 -
 ...snet_1_1_boost_a_o_d_e__inherit__graph.md5 |    1 -
 ...snet_1_1_boost_a_o_d_e__inherit__graph.png |  Bin 12761 -> 0 bytes
 .../classbayesnet_1_1_classifier-members.html |  159 --
 docs/manual/classbayesnet_1_1_classifier.html | 1348 ----------
 ...ssbayesnet_1_1_classifier__coll__graph.map |    7 -
 ...ssbayesnet_1_1_classifier__coll__graph.md5 |    1 -
 ...ssbayesnet_1_1_classifier__coll__graph.png |  Bin 8752 -> 0 bytes
 ...ayesnet_1_1_classifier__inherit__graph.map |   33 -
 ...ayesnet_1_1_classifier__inherit__graph.md5 |    1 -
 ...ayesnet_1_1_classifier__inherit__graph.png |  Bin 43117 -> 0 bytes
 .../classbayesnet_1_1_ensemble-members.html   |  172 --
 docs/manual/classbayesnet_1_1_ensemble.html   | 1007 --------
 ...lassbayesnet_1_1_ensemble__coll__graph.map |    9 -
 ...lassbayesnet_1_1_ensemble__coll__graph.md5 |    1 -
 ...lassbayesnet_1_1_ensemble__coll__graph.png |  Bin 11121 -> 0 bytes
 ...sbayesnet_1_1_ensemble__inherit__graph.map |   19 -
 ...sbayesnet_1_1_ensemble__inherit__graph.md5 |    1 -
 ...sbayesnet_1_1_ensemble__inherit__graph.png |  Bin 22170 -> 0 bytes
 .../classbayesnet_1_1_k_d_b-members.html      |  161 --
 docs/manual/classbayesnet_1_1_k_d_b.html      |  372 ---
 .../classbayesnet_1_1_k_d_b__coll__graph.map  |    9 -
 .../classbayesnet_1_1_k_d_b__coll__graph.md5  |    1 -
 .../classbayesnet_1_1_k_d_b__coll__graph.png  |  Bin 11240 -> 0 bytes
 ...lassbayesnet_1_1_k_d_b__inherit__graph.map |    9 -
 ...lassbayesnet_1_1_k_d_b__inherit__graph.md5 |    1 -
 ...lassbayesnet_1_1_k_d_b__inherit__graph.png |  Bin 10088 -> 0 bytes
 .../classbayesnet_1_1_k_d_b_ld-members.html   |  174 --
 docs/manual/classbayesnet_1_1_k_d_b_ld.html   |  445 ----
 ...lassbayesnet_1_1_k_d_b_ld__coll__graph.map |   13 -
 ...lassbayesnet_1_1_k_d_b_ld__coll__graph.md5 |    1 -
 ...lassbayesnet_1_1_k_d_b_ld__coll__graph.png |  Bin 16788 -> 0 bytes
 ...sbayesnet_1_1_k_d_b_ld__inherit__graph.map |   11 -
 ...sbayesnet_1_1_k_d_b_ld__inherit__graph.md5 |    1 -
 ...sbayesnet_1_1_k_d_b_ld__inherit__graph.png |  Bin 12914 -> 0 bytes
 .../classbayesnet_1_1_network-members.html    |  146 --
 docs/manual/classbayesnet_1_1_network.html    |  840 ------
 .../classbayesnet_1_1_node-members.html       |  132 -
 docs/manual/classbayesnet_1_1_node.html       |  488 ----
 .../classbayesnet_1_1_proposal-members.html   |  125 -
 docs/manual/classbayesnet_1_1_proposal.html   |  414 ---
 ...sbayesnet_1_1_proposal__inherit__graph.map |   11 -
 ...sbayesnet_1_1_proposal__inherit__graph.md5 |    1 -
 ...sbayesnet_1_1_proposal__inherit__graph.png |  Bin 11225 -> 0 bytes
 .../classbayesnet_1_1_s_p_o_d_e-members.html  |  161 --
 docs/manual/classbayesnet_1_1_s_p_o_d_e.html  |  339 ---
 ...assbayesnet_1_1_s_p_o_d_e__coll__graph.map |    9 -
 ...assbayesnet_1_1_s_p_o_d_e__coll__graph.md5 |    1 -
 ...assbayesnet_1_1_s_p_o_d_e__coll__graph.png |  Bin 11682 -> 0 bytes
 ...bayesnet_1_1_s_p_o_d_e__inherit__graph.map |    9 -
 ...bayesnet_1_1_s_p_o_d_e__inherit__graph.md5 |    1 -
 ...bayesnet_1_1_s_p_o_d_e__inherit__graph.png |  Bin 10920 -> 0 bytes
 ...lassbayesnet_1_1_s_p_o_d_e_ld-members.html |  176 --
 .../classbayesnet_1_1_s_p_o_d_e_ld.html       |  518 ----
 ...bayesnet_1_1_s_p_o_d_e_ld__coll__graph.map |   13 -
 ...bayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5 |    1 -
 ...bayesnet_1_1_s_p_o_d_e_ld__coll__graph.png |  Bin 17423 -> 0 bytes
 ...esnet_1_1_s_p_o_d_e_ld__inherit__graph.map |   11 -
 ...esnet_1_1_s_p_o_d_e_ld__inherit__graph.md5 |    1 -
 ...esnet_1_1_s_p_o_d_e_ld__inherit__graph.png |  Bin 13621 -> 0 bytes
 .../classbayesnet_1_1_s_pn_d_e-members.html   |  161 --
 docs/manual/classbayesnet_1_1_s_pn_d_e.html   |  337 ---
 ...lassbayesnet_1_1_s_pn_d_e__coll__graph.map |    9 -
 ...lassbayesnet_1_1_s_pn_d_e__coll__graph.md5 |    1 -
 ...lassbayesnet_1_1_s_pn_d_e__coll__graph.png |  Bin 11430 -> 0 bytes
 ...sbayesnet_1_1_s_pn_d_e__inherit__graph.map |    7 -
 ...sbayesnet_1_1_s_pn_d_e__inherit__graph.md5 |    1 -
 ...sbayesnet_1_1_s_pn_d_e__inherit__graph.png |  Bin 7614 -> 0 bytes
 .../classbayesnet_1_1_t_a_n-members.html      |  161 --
 docs/manual/classbayesnet_1_1_t_a_n.html      |  329 ---
 .../classbayesnet_1_1_t_a_n__coll__graph.map  |    9 -
 .../classbayesnet_1_1_t_a_n__coll__graph.md5  |    1 -
 .../classbayesnet_1_1_t_a_n__coll__graph.png  |  Bin 11120 -> 0 bytes
 ...lassbayesnet_1_1_t_a_n__inherit__graph.map |    9 -
 ...lassbayesnet_1_1_t_a_n__inherit__graph.md5 |    1 -
 ...lassbayesnet_1_1_t_a_n__inherit__graph.png |  Bin 9898 -> 0 bytes
 .../classbayesnet_1_1_t_a_n_ld-members.html   |  174 --
 docs/manual/classbayesnet_1_1_t_a_n_ld.html   |  432 ----
 ...lassbayesnet_1_1_t_a_n_ld__coll__graph.map |   13 -
 ...lassbayesnet_1_1_t_a_n_ld__coll__graph.md5 |    1 -
 ...lassbayesnet_1_1_t_a_n_ld__coll__graph.png |  Bin 16530 -> 0 bytes
 ...sbayesnet_1_1_t_a_n_ld__inherit__graph.map |   11 -
 ...sbayesnet_1_1_t_a_n_ld__inherit__graph.md5 |    1 -
 ...sbayesnet_1_1_t_a_n_ld__inherit__graph.png |  Bin 12664 -> 0 bytes
 docs/manual/classes.html                      |  143 --
 docs/manual/clipboard.js                      |   61 -
 docs/manual/closed.png                        |  Bin 132 -> 0 bytes
 docs/manual/cookie.js                         |   58 -
 .../dir_2f68445c4ac4316280c650d0a13b2741.html |  155 --
 .../dir_2f68445c4ac4316280c650d0a13b2741.js   |   17 -
 ...r_2f68445c4ac4316280c650d0a13b2741_dep.map |    4 -
 ...r_2f68445c4ac4316280c650d0a13b2741_dep.md5 |    1 -
 ...r_2f68445c4ac4316280c650d0a13b2741_dep.png |  Bin 2616 -> 0 bytes
 .../dir_40070fdff85d618b4d1d3ab4ac4f79bb.html |  129 -
 .../dir_40070fdff85d618b4d1d3ab4ac4f79bb.js   |    7 -
 .../dir_520a649ed2b1c3b658a695aeefe46a5a.html |  163 --
 .../dir_520a649ed2b1c3b658a695aeefe46a5a.js   |   21 -
 ...r_520a649ed2b1c3b658a695aeefe46a5a_dep.map |    4 -
 ...r_520a649ed2b1c3b658a695aeefe46a5a_dep.md5 |    1 -
 ...r_520a649ed2b1c3b658a695aeefe46a5a_dep.png |  Bin 2868 -> 0 bytes
 .../dir_efcd97b18bba957e8e278307db4f845a.html |  135 -
 .../dir_efcd97b18bba957e8e278307db4f845a.js   |    7 -
 ...r_efcd97b18bba957e8e278307db4f845a_dep.map |    4 -
 ...r_efcd97b18bba957e8e278307db4f845a_dep.md5 |    1 -
 ...r_efcd97b18bba957e8e278307db4f845a_dep.png |  Bin 2778 -> 0 bytes
 docs/manual/doc.svg                           |   12 -
 docs/manual/docd.svg                          |   12 -
 docs/manual/doxygen.css                       | 2244 -----------------
 docs/manual/doxygen.svg                       |   28 -
 docs/manual/doxygen_crawl.html                |  163 --
 docs/manual/dynsections.js                    |  205 --
 docs/manual/files.html                        |  158 --
 docs/manual/files_dup.js                      |    4 -
 docs/manual/folderclosed.svg                  |   11 -
 docs/manual/folderclosedd.svg                 |   11 -
 docs/manual/folderopen.svg                    |   17 -
 docs/manual/folderopend.svg                   |   12 -
 docs/manual/graph_legend.html                 |  173 --
 docs/manual/graph_legend.md5                  |    1 -
 docs/manual/graph_legend.png                  |  Bin 22891 -> 0 bytes
 docs/manual/hierarchy.html                    |  142 --
 docs/manual/hierarchy.js                      |   34 -
 docs/manual/index.html                        |  114 -
 docs/manual/inherit_graph_0.map               |   38 -
 docs/manual/inherit_graph_0.md5               |    1 -
 docs/manual/inherit_graph_0.png               |  Bin 44422 -> 0 bytes
 docs/manual/inherit_graph_1.map               |    3 -
 docs/manual/inherit_graph_1.md5               |    1 -
 docs/manual/inherit_graph_1.png               |  Bin 2310 -> 0 bytes
 docs/manual/inherit_graph_2.map               |    3 -
 docs/manual/inherit_graph_2.md5               |    1 -
 docs/manual/inherit_graph_2.png               |  Bin 2036 -> 0 bytes
 docs/manual/inherits.html                     |  167 --
 docs/manual/jquery.js                         |   34 -
 docs/manual/logo_small.png                    |  Bin 10855 -> 0 bytes
 docs/manual/menu.js                           |  134 -
 docs/manual/menudata.js                       |   32 -
 docs/manual/minus.svg                         |    8 -
 docs/manual/minusd.svg                        |    8 -
 docs/manual/nav_f.png                         |  Bin 153 -> 0 bytes
 docs/manual/nav_fd.png                        |  Bin 169 -> 0 bytes
 docs/manual/nav_g.png                         |  Bin 95 -> 0 bytes
 docs/manual/nav_h.png                         |  Bin 98 -> 0 bytes
 docs/manual/nav_hd.png                        |  Bin 114 -> 0 bytes
 docs/manual/navtree.css                       |  149 --
 docs/manual/navtree.js                        |  483 ----
 docs/manual/navtreedata.js                    |   45 -
 docs/manual/navtreeindex0.js                  |   69 -
 docs/manual/open.png                          |  Bin 123 -> 0 bytes
 docs/manual/plus.svg                          |    9 -
 docs/manual/plusd.svg                         |    9 -
 docs/manual/resize.js                         |  145 --
 docs/manual/search/all_0.js                   |    6 -
 docs/manual/search/all_1.js                   |    7 -
 docs/manual/search/all_2.js                   |    4 -
 docs/manual/search/all_3.js                   |    4 -
 docs/manual/search/all_4.js                   |    5 -
 docs/manual/search/all_5.js                   |    5 -
 docs/manual/search/all_6.js                   |    4 -
 docs/manual/search/all_7.js                   |    6 -
 docs/manual/search/all_8.js                   |    5 -
 docs/manual/search/classes_0.js               |    6 -
 docs/manual/search/classes_1.js               |    7 -
 docs/manual/search/classes_2.js               |    4 -
 docs/manual/search/classes_3.js               |    4 -
 docs/manual/search/classes_4.js               |    5 -
 docs/manual/search/classes_5.js               |    5 -
 docs/manual/search/classes_6.js               |    4 -
 docs/manual/search/classes_7.js               |    6 -
 docs/manual/search/classes_8.js               |    5 -
 docs/manual/search/close.svg                  |   18 -
 docs/manual/search/mag.svg                    |   24 -
 docs/manual/search/mag_d.svg                  |   24 -
 docs/manual/search/mag_sel.svg                |   31 -
 docs/manual/search/mag_seld.svg               |   31 -
 docs/manual/search/search.css                 |  291 ---
 docs/manual/search/search.js                  |  694 -----
 docs/manual/search/searchdata.js              |   18 -
 docs/manual/splitbar.png                      |  Bin 314 -> 0 bytes
 docs/manual/splitbard.png                     |  Bin 282 -> 0 bytes
 docs/manual/sync_off.png                      |  Bin 853 -> 0 bytes
 docs/manual/sync_on.png                       |  Bin 845 -> 0 bytes
 docs/manual/tab_a.png                         |  Bin 142 -> 0 bytes
 docs/manual/tab_ad.png                        |  Bin 135 -> 0 bytes
 docs/manual/tab_b.png                         |  Bin 169 -> 0 bytes
 docs/manual/tab_bd.png                        |  Bin 173 -> 0 bytes
 docs/manual/tab_h.png                         |  Bin 177 -> 0 bytes
 docs/manual/tab_hd.png                        |  Bin 180 -> 0 bytes
 docs/manual/tab_s.png                         |  Bin 184 -> 0 bytes
 docs/manual/tab_sd.png                        |  Bin 188 -> 0 bytes
 docs/manual/tabs.css                          |    1 -
 303 files changed, 15 insertions(+), 32446 deletions(-)
 rename docs/{Doxyfile => Doxyfile.in} (100%)
 delete mode 100644 docs/man3/bayesnet_A2DE.3
 delete mode 100644 docs/man3/bayesnet_AODE.3
 delete mode 100644 docs/man3/bayesnet_AODELd.3
 delete mode 100644 docs/man3/bayesnet_BaseClassifier.3
 delete mode 100644 docs/man3/bayesnet_Boost.3
 delete mode 100644 docs/man3/bayesnet_BoostA2DE.3
 delete mode 100644 docs/man3/bayesnet_BoostAODE.3
 delete mode 100644 docs/man3/bayesnet_Classifier.3
 delete mode 100644 docs/man3/bayesnet_Ensemble.3
 delete mode 100644 docs/man3/bayesnet_KDB.3
 delete mode 100644 docs/man3/bayesnet_KDBLd.3
 delete mode 100644 docs/man3/bayesnet_Network.3
 delete mode 100644 docs/man3/bayesnet_Node.3
 delete mode 100644 docs/man3/bayesnet_Proposal.3
 delete mode 100644 docs/man3/bayesnet_SPODE.3
 delete mode 100644 docs/man3/bayesnet_SPODELd.3
 delete mode 100644 docs/man3/bayesnet_SPnDE.3
 delete mode 100644 docs/man3/bayesnet_TAN.3
 delete mode 100644 docs/man3/bayesnet_TANLd.3
 delete mode 100644 docs/manual/_a2_d_e_8cc_source.html
 delete mode 100644 docs/manual/_a2_d_e_8h_source.html
 delete mode 100644 docs/manual/_a_o_d_e_8cc_source.html
 delete mode 100644 docs/manual/_a_o_d_e_8h_source.html
 delete mode 100644 docs/manual/_a_o_d_e_ld_8cc_source.html
 delete mode 100644 docs/manual/_a_o_d_e_ld_8h_source.html
 delete mode 100644 docs/manual/_base_classifier_8h_source.html
 delete mode 100644 docs/manual/_boost_8cc_source.html
 delete mode 100644 docs/manual/_boost_8h_source.html
 delete mode 100644 docs/manual/_boost_a2_d_e_8cc_source.html
 delete mode 100644 docs/manual/_boost_a2_d_e_8h_source.html
 delete mode 100644 docs/manual/_boost_a_o_d_e_8cc_source.html
 delete mode 100644 docs/manual/_boost_a_o_d_e_8h_source.html
 delete mode 100644 docs/manual/_classifier_8cc_source.html
 delete mode 100644 docs/manual/_classifier_8h_source.html
 delete mode 100644 docs/manual/_ensemble_8cc_source.html
 delete mode 100644 docs/manual/_ensemble_8h_source.html
 delete mode 100644 docs/manual/_k_d_b_8cc_source.html
 delete mode 100644 docs/manual/_k_d_b_8h_source.html
 delete mode 100644 docs/manual/_k_d_b_ld_8cc_source.html
 delete mode 100644 docs/manual/_k_d_b_ld_8h_source.html
 delete mode 100644 docs/manual/_network_8cc_source.html
 delete mode 100644 docs/manual/_network_8h_source.html
 delete mode 100644 docs/manual/_node_8cc_source.html
 delete mode 100644 docs/manual/_node_8h_source.html
 delete mode 100644 docs/manual/_proposal_8cc_source.html
 delete mode 100644 docs/manual/_proposal_8h_source.html
 delete mode 100644 docs/manual/_s_p_o_d_e_8cc_source.html
 delete mode 100644 docs/manual/_s_p_o_d_e_8h_source.html
 delete mode 100644 docs/manual/_s_p_o_d_e_ld_8cc_source.html
 delete mode 100644 docs/manual/_s_p_o_d_e_ld_8h_source.html
 delete mode 100644 docs/manual/_s_pn_d_e_8cc_source.html
 delete mode 100644 docs/manual/_s_pn_d_e_8h_source.html
 delete mode 100644 docs/manual/_t_a_n_8cc_source.html
 delete mode 100644 docs/manual/_t_a_n_8h_source.html
 delete mode 100644 docs/manual/_t_a_n_ld_8cc_source.html
 delete mode 100644 docs/manual/_t_a_n_ld_8h_source.html
 delete mode 100644 docs/manual/annotated.html
 delete mode 100644 docs/manual/annotated_dup.js
 delete mode 100644 docs/manual/bc_s.png
 delete mode 100644 docs/manual/bc_sd.png
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e.html
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e.html
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld.html
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_base_classifier-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_base_classifier.html
 delete mode 100644 docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_boost-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_boost.html
 delete mode 100644 docs/manual/classbayesnet_1_1_boost__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_boost__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_boost__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_boost__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_boost__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_boost__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e.html
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e.html
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier.html
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_classifier__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble.html
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_ensemble__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b.html
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld.html
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_network-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_network.html
 delete mode 100644 docs/manual/classbayesnet_1_1_node-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_node.html
 delete mode 100644 docs/manual/classbayesnet_1_1_proposal-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_proposal.html
 delete mode 100644 docs/manual/classbayesnet_1_1_proposal__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_proposal__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e.html
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e.html
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n.html
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld-members.html
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld.html
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.png
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5
 delete mode 100644 docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.png
 delete mode 100644 docs/manual/classes.html
 delete mode 100644 docs/manual/clipboard.js
 delete mode 100644 docs/manual/closed.png
 delete mode 100644 docs/manual/cookie.js
 delete mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html
 delete mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js
 delete mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map
 delete mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5
 delete mode 100644 docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.png
 delete mode 100644 docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html
 delete mode 100644 docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js
 delete mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html
 delete mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js
 delete mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map
 delete mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5
 delete mode 100644 docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png
 delete mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html
 delete mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js
 delete mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map
 delete mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5
 delete mode 100644 docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.png
 delete mode 100644 docs/manual/doc.svg
 delete mode 100644 docs/manual/docd.svg
 delete mode 100644 docs/manual/doxygen.css
 delete mode 100644 docs/manual/doxygen.svg
 delete mode 100644 docs/manual/doxygen_crawl.html
 delete mode 100644 docs/manual/dynsections.js
 delete mode 100644 docs/manual/files.html
 delete mode 100644 docs/manual/files_dup.js
 delete mode 100644 docs/manual/folderclosed.svg
 delete mode 100644 docs/manual/folderclosedd.svg
 delete mode 100644 docs/manual/folderopen.svg
 delete mode 100644 docs/manual/folderopend.svg
 delete mode 100644 docs/manual/graph_legend.html
 delete mode 100644 docs/manual/graph_legend.md5
 delete mode 100644 docs/manual/graph_legend.png
 delete mode 100644 docs/manual/hierarchy.html
 delete mode 100644 docs/manual/hierarchy.js
 delete mode 100644 docs/manual/index.html
 delete mode 100644 docs/manual/inherit_graph_0.map
 delete mode 100644 docs/manual/inherit_graph_0.md5
 delete mode 100644 docs/manual/inherit_graph_0.png
 delete mode 100644 docs/manual/inherit_graph_1.map
 delete mode 100644 docs/manual/inherit_graph_1.md5
 delete mode 100644 docs/manual/inherit_graph_1.png
 delete mode 100644 docs/manual/inherit_graph_2.map
 delete mode 100644 docs/manual/inherit_graph_2.md5
 delete mode 100644 docs/manual/inherit_graph_2.png
 delete mode 100644 docs/manual/inherits.html
 delete mode 100644 docs/manual/jquery.js
 delete mode 100644 docs/manual/logo_small.png
 delete mode 100644 docs/manual/menu.js
 delete mode 100644 docs/manual/menudata.js
 delete mode 100644 docs/manual/minus.svg
 delete mode 100644 docs/manual/minusd.svg
 delete mode 100644 docs/manual/nav_f.png
 delete mode 100644 docs/manual/nav_fd.png
 delete mode 100644 docs/manual/nav_g.png
 delete mode 100644 docs/manual/nav_h.png
 delete mode 100644 docs/manual/nav_hd.png
 delete mode 100644 docs/manual/navtree.css
 delete mode 100644 docs/manual/navtree.js
 delete mode 100644 docs/manual/navtreedata.js
 delete mode 100644 docs/manual/navtreeindex0.js
 delete mode 100644 docs/manual/open.png
 delete mode 100644 docs/manual/plus.svg
 delete mode 100644 docs/manual/plusd.svg
 delete mode 100644 docs/manual/resize.js
 delete mode 100644 docs/manual/search/all_0.js
 delete mode 100644 docs/manual/search/all_1.js
 delete mode 100644 docs/manual/search/all_2.js
 delete mode 100644 docs/manual/search/all_3.js
 delete mode 100644 docs/manual/search/all_4.js
 delete mode 100644 docs/manual/search/all_5.js
 delete mode 100644 docs/manual/search/all_6.js
 delete mode 100644 docs/manual/search/all_7.js
 delete mode 100644 docs/manual/search/all_8.js
 delete mode 100644 docs/manual/search/classes_0.js
 delete mode 100644 docs/manual/search/classes_1.js
 delete mode 100644 docs/manual/search/classes_2.js
 delete mode 100644 docs/manual/search/classes_3.js
 delete mode 100644 docs/manual/search/classes_4.js
 delete mode 100644 docs/manual/search/classes_5.js
 delete mode 100644 docs/manual/search/classes_6.js
 delete mode 100644 docs/manual/search/classes_7.js
 delete mode 100644 docs/manual/search/classes_8.js
 delete mode 100644 docs/manual/search/close.svg
 delete mode 100644 docs/manual/search/mag.svg
 delete mode 100644 docs/manual/search/mag_d.svg
 delete mode 100644 docs/manual/search/mag_sel.svg
 delete mode 100644 docs/manual/search/mag_seld.svg
 delete mode 100644 docs/manual/search/search.css
 delete mode 100644 docs/manual/search/search.js
 delete mode 100644 docs/manual/search/searchdata.js
 delete mode 100644 docs/manual/splitbar.png
 delete mode 100644 docs/manual/splitbard.png
 delete mode 100644 docs/manual/sync_off.png
 delete mode 100644 docs/manual/sync_on.png
 delete mode 100644 docs/manual/tab_a.png
 delete mode 100644 docs/manual/tab_ad.png
 delete mode 100644 docs/manual/tab_b.png
 delete mode 100644 docs/manual/tab_bd.png
 delete mode 100644 docs/manual/tab_h.png
 delete mode 100644 docs/manual/tab_hd.png
 delete mode 100644 docs/manual/tab_s.png
 delete mode 100644 docs/manual/tab_sd.png
 delete mode 100644 docs/manual/tabs.css

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 152447e..ffaabd6 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -88,4 +88,18 @@ install(TARGETS BayesNet
         LIBRARY DESTINATION lib
         CONFIGURATIONS Release)
 install(DIRECTORY bayesnet/ DESTINATION include/bayesnet FILES_MATCHING CONFIGURATIONS Release PATTERN "*.h")
-install(FILES ${CMAKE_BINARY_DIR}/configured_files/include/bayesnet/config.h DESTINATION include/bayesnet CONFIGURATIONS Release)
\ No newline at end of file
+install(FILES ${CMAKE_BINARY_DIR}/configured_files/include/bayesnet/config.h DESTINATION include/bayesnet CONFIGURATIONS Release)
+
+# Documentation
+# -------------
+set(doxyfile_in ${CMAKE_CURRENT_SOURCE_DIR}/doxygen/Doxyfile.in)
+set(doxyfile ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile)
+configure_file(${doxyfile_in} ${doxyfile} @ONLY)
+
+# doc build only target, target is not in default build, so it must be
+# triggered explicitly
+add_custom_target(doc
+    COMMAND ${DOXYGEN_EXECUTABLE} ${doxyfile}
+    WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
+    COMMENT "Generating API documentation with Doxygen"
+    VERBATIM)
\ No newline at end of file
diff --git a/docs/Doxyfile b/docs/Doxyfile.in
similarity index 100%
rename from docs/Doxyfile
rename to docs/Doxyfile.in
diff --git a/docs/man3/bayesnet_A2DE.3 b/docs/man3/bayesnet_A2DE.3
deleted file mode 100644
index 6a1593f..0000000
--- a/docs/man3/bayesnet_A2DE.3
+++ /dev/null
@@ -1,257 +0,0 @@
-.TH "bayesnet::A2DE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::A2DE
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Ensemble\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBA2DE\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='A2DE') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB12\fP of file \fBA2DE\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::A2DE::A2DE (bool predict_voting = \fRfalse\fP)"
-
-.PP
-Definition at line \fB10\fP of file \fBA2DE\&.cc\fP\&.
-.SS "virtual bayesnet::A2DE::~A2DE ()\fR [inline]\fP, \fR [virtual]\fP"
-
-.PP
-Definition at line \fB15\fP of file \fBA2DE\&.h\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::A2DE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB23\fP of file \fBA2DE\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::A2DE::graph (const std::string & title = \fR'A2DE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB36\fP of file \fBA2DE\&.cc\fP\&.
-.SS "void bayesnet::A2DE::setHyperparameters (const nlohmann::json & hyperparameters)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB14\fP of file \fBA2DE\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_AODE.3 b/docs/man3/bayesnet_AODE.3
deleted file mode 100644
index 6894802..0000000
--- a/docs/man3/bayesnet_AODE.3
+++ /dev/null
@@ -1,257 +0,0 @@
-.TH "bayesnet::AODE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::AODE
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Ensemble\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBAODE\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='AODE') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB12\fP of file \fBAODE\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::AODE::AODE (bool predict_voting = \fRfalse\fP)"
-
-.PP
-Definition at line \fB10\fP of file \fBAODE\&.cc\fP\&.
-.SS "virtual bayesnet::AODE::~AODE ()\fR [inline]\fP, \fR [virtual]\fP"
-
-.PP
-Definition at line \fB15\fP of file \fBAODE\&.h\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::AODE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB24\fP of file \fBAODE\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::AODE::graph (const std::string & title = \fR'AODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB34\fP of file \fBAODE\&.cc\fP\&.
-.SS "void bayesnet::AODE::setHyperparameters (const nlohmann::json & hyperparameters)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB15\fP of file \fBAODE\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_AODELd.3 b/docs/man3/bayesnet_AODELd.3
deleted file mode 100644
index a684913..0000000
--- a/docs/man3/bayesnet_AODELd.3
+++ /dev/null
@@ -1,296 +0,0 @@
-.TH "bayesnet::AODELd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::AODELd
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Ensemble\fP, and \fBbayesnet::Proposal\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBAODELd\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "\fBAODELd\fP & \fBfit\fP (torch::Tensor &X_, torch::Tensor &y_, const std::vector< std::string > &features_, const std::string &className_, map< std::string, std::vector< int > > &states_) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='AODELd') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBXf\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy\fP"
-.br
-.ti -1c
-.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB14\fP of file \fBAODELd\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::AODELd::AODELd (bool predict_voting = \fRtrue\fP)"
-
-.PP
-Definition at line \fB10\fP of file \fBAODELd\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::AODELd::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB28\fP of file \fBAODELd\&.cc\fP\&.
-.SS "\fBAODELd\fP & bayesnet::AODELd::fit (torch::Tensor & X_, torch::Tensor & y_, const std::vector< std::string > & features_, const std::string & className_, map< std::string, std::vector< int > > & states_)\fR [override]\fP"
-
-.PP
-Definition at line \fB13\fP of file \fBAODELd\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::AODELd::graph (const std::string & name = \fR'AODELd'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB43\fP of file \fBAODELd\&.cc\fP\&.
-.SS "void bayesnet::AODELd::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB37\fP of file \fBAODELd\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_BaseClassifier.3 b/docs/man3/bayesnet_BaseClassifier.3
deleted file mode 100644
index 44f3411..0000000
--- a/docs/man3/bayesnet_BaseClassifier.3
+++ /dev/null
@@ -1,116 +0,0 @@
-.TH "bayesnet::BaseClassifier" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::BaseClassifier
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherited by \fBbayesnet::Classifier\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0"
-.br
-.ti -1c
-.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0"
-.br
-.ti -1c
-.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0"
-.br
-.ti -1c
-.RI "virtual \fBBaseClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights)=0"
-.br
-.ti -1c
-.RI "virtual torch::Tensor \fBpredict\fP (torch::Tensor &X)=0"
-.br
-.ti -1c
-.RI "virtual std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X)=0"
-.br
-.ti -1c
-.RI "virtual torch::Tensor \fBpredict_proba\fP (torch::Tensor &X)=0"
-.br
-.ti -1c
-.RI "virtual std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X)=0"
-.br
-.ti -1c
-.RI "virtual status_t \fBgetStatus\fP () const =0"
-.br
-.ti -1c
-.RI "virtual float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y)=0"
-.br
-.ti -1c
-.RI "virtual float \fBscore\fP (torch::Tensor &X, torch::Tensor &y)=0"
-.br
-.ti -1c
-.RI "virtual int \fBgetNumberOfNodes\fP () const =0"
-.br
-.ti -1c
-.RI "virtual int \fBgetNumberOfEdges\fP () const =0"
-.br
-.ti -1c
-.RI "virtual int \fBgetNumberOfStates\fP () const =0"
-.br
-.ti -1c
-.RI "virtual int \fBgetClassNumStates\fP () const =0"
-.br
-.ti -1c
-.RI "virtual std::vector< std::string > \fBshow\fP () const =0"
-.br
-.ti -1c
-.RI "virtual std::vector< std::string > \fBgraph\fP (const std::string &title='') const =0"
-.br
-.ti -1c
-.RI "virtual std::string \fBgetVersion\fP ()=0"
-.br
-.ti -1c
-.RI "virtual std::vector< std::string > \fBtopological_order\fP ()=0"
-.br
-.ti -1c
-.RI "virtual std::vector< std::string > \fBgetNotes\fP () const =0"
-.br
-.ti -1c
-.RI "virtual std::string \fBdump_cpt\fP () const =0"
-.br
-.ti -1c
-.RI "virtual void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters)=0"
-.br
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "virtual void \fBtrainModel\fP (const torch::Tensor &weights)=0"
-.br
-.in -1c
-.SS "Protected Attributes"
-
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB13\fP of file \fBBaseClassifier\&.h\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "std::vector< std::string > & bayesnet::BaseClassifier::getValidHyperparameters ()\fR [inline]\fP"
-
-.PP
-Definition at line \fB40\fP of file \fBBaseClassifier\&.h\fP\&.
-.SH "Member Data Documentation"
-.PP 
-.SS "std::vector<std::string> bayesnet::BaseClassifier::validHyperparameters\fR [protected]\fP"
-
-.PP
-Definition at line \fB43\fP of file \fBBaseClassifier\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Boost.3 b/docs/man3/bayesnet_Boost.3
deleted file mode 100644
index 04ec0cc..0000000
--- a/docs/man3/bayesnet_Boost.3
+++ /dev/null
@@ -1,369 +0,0 @@
-.TH "bayesnet::Boost" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::Boost
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Ensemble\fP\&.
-.PP
-Inherited by \fBbayesnet::BoostA2DE\fP, and \fBbayesnet::BoostAODE\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBBoost\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "std::vector< int > \fBfeatureSelection\fP (torch::Tensor &weights_)"
-.br
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights\fP (torch::Tensor &ytrain, torch::Tensor &ypred, torch::Tensor &weights)"
-.br
-.ti -1c
-.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights_block\fP (int k, torch::Tensor &ytrain, torch::Tensor &weights)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Protected Attributes"
-
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBX_train\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy_train\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBX_test\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy_test\fP"
-.br
-.ti -1c
-.RI "bool \fBbisection\fP = true"
-.br
-.ti -1c
-.RI "int \fBmaxTolerance\fP = 3"
-.br
-.ti -1c
-.RI "std::string \fBorder_algorithm\fP"
-.br
-.ti -1c
-.RI "bool \fBconvergence\fP = true"
-.br
-.ti -1c
-.RI "bool \fBconvergence_best\fP = false"
-.br
-.ti -1c
-.RI "bool \fBselectFeatures\fP = false"
-.br
-.ti -1c
-.RI "std::string \fBselect_features_algorithm\fP = Orders\&.DESC"
-.br
-.ti -1c
-.RI "FeatureSelect * \fBfeatureSelector\fP = nullptr"
-.br
-.ti -1c
-.RI "double \fBthreshold\fP = \-1"
-.br
-.ti -1c
-.RI "bool \fBblock_update\fP = false"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB27\fP of file \fBBoost\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::Boost::Boost (bool predict_voting = \fRfalse\fP)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB13\fP of file \fBBoost\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::Boost::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB71\fP of file \fBBoost\&.cc\fP\&.
-.SS "std::vector< int > bayesnet::Boost::featureSelection (torch::Tensor & weights_)\fR [protected]\fP"
-
-.PP
-Definition at line \fB102\fP of file \fBBoost\&.cc\fP\&.
-.SS "void bayesnet::Boost::setHyperparameters (const nlohmann::json & hyperparameters_)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB18\fP of file \fBBoost\&.cc\fP\&.
-.SS "std::tuple< torch::Tensor &, double, bool > bayesnet::Boost::update_weights (torch::Tensor & ytrain, torch::Tensor & ypred, torch::Tensor & weights)\fR [protected]\fP"
-
-.PP
-Definition at line \fB123\fP of file \fBBoost\&.cc\fP\&.
-.SS "std::tuple< torch::Tensor &, double, bool > bayesnet::Boost::update_weights_block (int k, torch::Tensor & ytrain, torch::Tensor & weights)\fR [protected]\fP"
-
-.PP
-Definition at line \fB150\fP of file \fBBoost\&.cc\fP\&.
-.SH "Member Data Documentation"
-.PP 
-.SS "bool bayesnet::Boost::bisection = true\fR [protected]\fP"
-
-.PP
-Definition at line \fB39\fP of file \fBBoost\&.h\fP\&.
-.SS "bool bayesnet::Boost::block_update = false\fR [protected]\fP"
-
-.PP
-Definition at line \fB48\fP of file \fBBoost\&.h\fP\&.
-.SS "bool bayesnet::Boost::convergence = true\fR [protected]\fP"
-
-.PP
-Definition at line \fB42\fP of file \fBBoost\&.h\fP\&.
-.SS "bool bayesnet::Boost::convergence_best = false\fR [protected]\fP"
-
-.PP
-Definition at line \fB43\fP of file \fBBoost\&.h\fP\&.
-.SS "FeatureSelect* bayesnet::Boost::featureSelector = nullptr\fR [protected]\fP"
-
-.PP
-Definition at line \fB46\fP of file \fBBoost\&.h\fP\&.
-.SS "int bayesnet::Boost::maxTolerance = 3\fR [protected]\fP"
-
-.PP
-Definition at line \fB40\fP of file \fBBoost\&.h\fP\&.
-.SS "std::string bayesnet::Boost::order_algorithm\fR [protected]\fP"
-
-.PP
-Definition at line \fB41\fP of file \fBBoost\&.h\fP\&.
-.SS "std::string bayesnet::Boost::select_features_algorithm = Orders\&.DESC\fR [protected]\fP"
-
-.PP
-Definition at line \fB45\fP of file \fBBoost\&.h\fP\&.
-.SS "bool bayesnet::Boost::selectFeatures = false\fR [protected]\fP"
-
-.PP
-Definition at line \fB44\fP of file \fBBoost\&.h\fP\&.
-.SS "double bayesnet::Boost::threshold = \-1\fR [protected]\fP"
-
-.PP
-Definition at line \fB47\fP of file \fBBoost\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Boost::X_test\fR [protected]\fP"
-
-.PP
-Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Boost::X_train\fR [protected]\fP"
-
-.PP
-Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Boost::y_test\fR [protected]\fP"
-
-.PP
-Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Boost::y_train\fR [protected]\fP"
-
-.PP
-Definition at line \fB37\fP of file \fBBoost\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_BoostA2DE.3 b/docs/man3/bayesnet_BoostA2DE.3
deleted file mode 100644
index b3a9dfe..0000000
--- a/docs/man3/bayesnet_BoostA2DE.3
+++ /dev/null
@@ -1,316 +0,0 @@
-.TH "bayesnet::BoostA2DE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::BoostA2DE
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Boost\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBBoostA2DE\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='BoostA2DE') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Boost\fP
-.in +1c
-.ti -1c
-.RI "\fBBoost\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Boost\fP
-.in +1c
-.ti -1c
-.RI "std::vector< int > \fBfeatureSelection\fP (torch::Tensor &weights_)"
-.br
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights\fP (torch::Tensor &ytrain, torch::Tensor &ypred, torch::Tensor &weights)"
-.br
-.ti -1c
-.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights_block\fP (int k, torch::Tensor &ytrain, torch::Tensor &weights)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Boost\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBX_train\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy_train\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBX_test\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy_test\fP"
-.br
-.ti -1c
-.RI "bool \fBbisection\fP = true"
-.br
-.ti -1c
-.RI "int \fBmaxTolerance\fP = 3"
-.br
-.ti -1c
-.RI "std::string \fBorder_algorithm\fP"
-.br
-.ti -1c
-.RI "bool \fBconvergence\fP = true"
-.br
-.ti -1c
-.RI "bool \fBconvergence_best\fP = false"
-.br
-.ti -1c
-.RI "bool \fBselectFeatures\fP = false"
-.br
-.ti -1c
-.RI "std::string \fBselect_features_algorithm\fP = Orders\&.DESC"
-.br
-.ti -1c
-.RI "FeatureSelect * \fBfeatureSelector\fP = nullptr"
-.br
-.ti -1c
-.RI "double \fBthreshold\fP = \-1"
-.br
-.ti -1c
-.RI "bool \fBblock_update\fP = false"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB14\fP of file \fBBoostA2DE\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::BoostA2DE::BoostA2DE (bool predict_voting = \fRfalse\fP)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB19\fP of file \fBBoostA2DE\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "std::vector< std::string > bayesnet::BoostA2DE::graph (const std::string & title = \fR'BoostA2DE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB163\fP of file \fBBoostA2DE\&.cc\fP\&.
-.SS "void bayesnet::BoostA2DE::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB44\fP of file \fBBoostA2DE\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_BoostAODE.3 b/docs/man3/bayesnet_BoostAODE.3
deleted file mode 100644
index d5b74c1..0000000
--- a/docs/man3/bayesnet_BoostAODE.3
+++ /dev/null
@@ -1,316 +0,0 @@
-.TH "bayesnet::BoostAODE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::BoostAODE
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Boost\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBBoostAODE\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title='BoostAODE') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Boost\fP
-.in +1c
-.ti -1c
-.RI "\fBBoost\fP (bool predict_voting=false)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Boost\fP
-.in +1c
-.ti -1c
-.RI "std::vector< int > \fBfeatureSelection\fP (torch::Tensor &weights_)"
-.br
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights\fP (torch::Tensor &ytrain, torch::Tensor &ypred, torch::Tensor &weights)"
-.br
-.ti -1c
-.RI "std::tuple< torch::Tensor &, double, bool > \fBupdate_weights_block\fP (int k, torch::Tensor &ytrain, torch::Tensor &weights)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Boost\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBX_train\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy_train\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBX_test\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy_test\fP"
-.br
-.ti -1c
-.RI "bool \fBbisection\fP = true"
-.br
-.ti -1c
-.RI "int \fBmaxTolerance\fP = 3"
-.br
-.ti -1c
-.RI "std::string \fBorder_algorithm\fP"
-.br
-.ti -1c
-.RI "bool \fBconvergence\fP = true"
-.br
-.ti -1c
-.RI "bool \fBconvergence_best\fP = false"
-.br
-.ti -1c
-.RI "bool \fBselectFeatures\fP = false"
-.br
-.ti -1c
-.RI "std::string \fBselect_features_algorithm\fP = Orders\&.DESC"
-.br
-.ti -1c
-.RI "FeatureSelect * \fBfeatureSelector\fP = nullptr"
-.br
-.ti -1c
-.RI "double \fBthreshold\fP = \-1"
-.br
-.ti -1c
-.RI "bool \fBblock_update\fP = false"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Ensemble\fP
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB15\fP of file \fBBoostAODE\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::BoostAODE::BoostAODE (bool predict_voting = \fRfalse\fP)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB16\fP of file \fBBoostAODE\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "std::vector< std::string > bayesnet::BoostAODE::graph (const std::string & title = \fR'BoostAODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB157\fP of file \fBBoostAODE\&.cc\fP\&.
-.SS "void bayesnet::BoostAODE::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB33\fP of file \fBBoostAODE\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Classifier.3 b/docs/man3/bayesnet_Classifier.3
deleted file mode 100644
index 02549d5..0000000
--- a/docs/man3/bayesnet_Classifier.3
+++ /dev/null
@@ -1,360 +0,0 @@
-.TH "bayesnet::Classifier" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::Classifier
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Inherited by \fBbayesnet::Ensemble\fP, \fBbayesnet::KDB\fP, \fBbayesnet::SPODE\fP, \fBbayesnet::SPnDE\fP, and \fBbayesnet::TAN\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "virtual std::vector< std::string > \fBgraph\fP (const std::string &title='') const =0"
-.br
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "virtual void \fBbuildModel\fP (const torch::Tensor &weights)=0"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Protected Attributes"
-
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB15\fP of file \fBClassifier\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::Classifier::Classifier (\fBNetwork\fP model)"
-
-.PP
-Definition at line \fB12\fP of file \fBClassifier\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::Classifier::addNodes ()"
-
-.PP
-Definition at line \fB155\fP of file \fBClassifier\&.cc\fP\&.
-.SS "void bayesnet::Classifier::buildDataset (torch::Tensor & y)\fR [protected]\fP"
-
-.PP
-Definition at line \fB30\fP of file \fBClassifier\&.cc\fP\&.
-.SS "void bayesnet::Classifier::checkFitParameters ()\fR [protected]\fP"
-
-.PP
-Definition at line \fB79\fP of file \fBClassifier\&.cc\fP\&.
-.SS "std::string bayesnet::Classifier::dump_cpt () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB184\fP of file \fBClassifier\&.cc\fP\&.
-.SS "\fBClassifier\fP & bayesnet::Classifier::fit (std::vector< std::vector< int > > & X, std::vector< int > & y, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB57\fP of file \fBClassifier\&.cc\fP\&.
-.SS "\fBClassifier\fP & bayesnet::Classifier::fit (torch::Tensor & dataset, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB68\fP of file \fBClassifier\&.cc\fP\&.
-.SS "\fBClassifier\fP & bayesnet::Classifier::fit (torch::Tensor & dataset, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states, const torch::Tensor & weights)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB74\fP of file \fBClassifier\&.cc\fP\&.
-.SS "\fBClassifier\fP & bayesnet::Classifier::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, std::map< std::string, std::vector< int > > & states)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB49\fP of file \fBClassifier\&.cc\fP\&.
-.SS "int bayesnet::Classifier::getClassNumStates () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB176\fP of file \fBClassifier\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Classifier::getNotes () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB38\fP of file \fBClassifier\&.h\fP\&.
-.SS "int bayesnet::Classifier::getNumberOfEdges () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB168\fP of file \fBClassifier\&.cc\fP\&.
-.SS "int bayesnet::Classifier::getNumberOfNodes () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB163\fP of file \fBClassifier\&.cc\fP\&.
-.SS "int bayesnet::Classifier::getNumberOfStates () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB172\fP of file \fBClassifier\&.cc\fP\&.
-.SS "status_t bayesnet::Classifier::getStatus () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB32\fP of file \fBClassifier\&.h\fP\&.
-.SS "std::string bayesnet::Classifier::getVersion ()\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB33\fP of file \fBClassifier\&.h\fP\&.
-.SS "std::vector< int > bayesnet::Classifier::predict (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB103\fP of file \fBClassifier\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Classifier::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB96\fP of file \fBClassifier\&.cc\fP\&.
-.SS "std::vector< std::vector< double > > bayesnet::Classifier::predict_proba (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB124\fP of file \fBClassifier\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Classifier::predict_proba (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB117\fP of file \fBClassifier\&.cc\fP\&.
-.SS "float bayesnet::Classifier::score (std::vector< std::vector< int > > & X, std::vector< int > & y)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB144\fP of file \fBClassifier\&.cc\fP\&.
-.SS "float bayesnet::Classifier::score (torch::Tensor & X, torch::Tensor & y)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB139\fP of file \fBClassifier\&.cc\fP\&.
-.SS "void bayesnet::Classifier::setHyperparameters (const nlohmann::json & hyperparameters)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB188\fP of file \fBClassifier\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Classifier::show () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB151\fP of file \fBClassifier\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Classifier::topological_order ()\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB180\fP of file \fBClassifier\&.cc\fP\&.
-.SS "void bayesnet::Classifier::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB44\fP of file \fBClassifier\&.cc\fP\&.
-.SH "Member Data Documentation"
-.PP 
-.SS "std::string bayesnet::Classifier::className\fR [protected]\fP"
-
-.PP
-Definition at line \fB47\fP of file \fBClassifier\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Classifier::dataset\fR [protected]\fP"
-
-.PP
-Definition at line \fB49\fP of file \fBClassifier\&.h\fP\&.
-.SS "std::vector<std::string> bayesnet::Classifier::features\fR [protected]\fP"
-
-.PP
-Definition at line \fB46\fP of file \fBClassifier\&.h\fP\&.
-.SS "bool bayesnet::Classifier::fitted\fR [protected]\fP"
-
-.PP
-Definition at line \fB42\fP of file \fBClassifier\&.h\fP\&.
-.SS "unsigned int bayesnet::Classifier::m\fR [protected]\fP"
-
-.PP
-Definition at line \fB43\fP of file \fBClassifier\&.h\fP\&.
-.SS "Metrics bayesnet::Classifier::metrics\fR [protected]\fP"
-
-.PP
-Definition at line \fB45\fP of file \fBClassifier\&.h\fP\&.
-.SS "\fBNetwork\fP bayesnet::Classifier::model\fR [protected]\fP"
-
-.PP
-Definition at line \fB44\fP of file \fBClassifier\&.h\fP\&.
-.SS "unsigned int bayesnet::Classifier::n\fR [protected]\fP"
-
-.PP
-Definition at line \fB43\fP of file \fBClassifier\&.h\fP\&.
-.SS "std::vector<std::string> bayesnet::Classifier::notes\fR [protected]\fP"
-
-.PP
-Definition at line \fB51\fP of file \fBClassifier\&.h\fP\&.
-.SS "std::map<std::string, std::vector<int> > bayesnet::Classifier::states\fR [protected]\fP"
-
-.PP
-Definition at line \fB48\fP of file \fBClassifier\&.h\fP\&.
-.SS "status_t bayesnet::Classifier::status = NORMAL\fR [protected]\fP"
-
-.PP
-Definition at line \fB50\fP of file \fBClassifier\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Ensemble.3 b/docs/man3/bayesnet_Ensemble.3
deleted file mode 100644
index f4c6664..0000000
--- a/docs/man3/bayesnet_Ensemble.3
+++ /dev/null
@@ -1,348 +0,0 @@
-.TH "bayesnet::Ensemble" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::Ensemble
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Classifier\fP\&.
-.PP
-Inherited by \fBbayesnet::A2DE\fP, \fBbayesnet::AODE\fP, \fBbayesnet::AODELd\fP, and \fBbayesnet::Boost\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBEnsemble\fP (bool predict_voting=true)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "virtual void \fBbuildModel\fP (const torch::Tensor &weights)=0"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Protected Attributes"
-
-.in +1c
-.ti -1c
-.RI "unsigned \fBn_models\fP"
-.br
-.ti -1c
-.RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP"
-.br
-.ti -1c
-.RI "std::vector< double > \fBsignificanceModels\fP"
-.br
-.ti -1c
-.RI "bool \fBpredict_voting\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB15\fP of file \fBEnsemble\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::Ensemble::Ensemble (bool predict_voting = \fRtrue\fP)"
-
-.PP
-Definition at line \fB11\fP of file \fBEnsemble\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "std::vector< int > bayesnet::Ensemble::compute_arg_max (std::vector< std::vector< double > > & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB24\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Ensemble::compute_arg_max (torch::Tensor & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB33\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::string bayesnet::Ensemble::dump_cpt () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB34\fP of file \fBEnsemble\&.h\fP\&.
-.SS "int bayesnet::Ensemble::getNumberOfEdges () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB206\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "int bayesnet::Ensemble::getNumberOfNodes () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB198\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "int bayesnet::Ensemble::getNumberOfStates () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB214\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Ensemble::graph (const std::string & title) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB189\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< int > bayesnet::Ensemble::predict (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB74\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Ensemble::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB79\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_average_proba (std::vector< std::vector< int > > & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB104\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Ensemble::predict_average_proba (torch::Tensor & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB84\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_average_voting (std::vector< std::vector< int > > & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB133\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Ensemble::predict_average_voting (torch::Tensor & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB140\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_proba (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB60\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Ensemble::predict_proba (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB67\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "float bayesnet::Ensemble::score (std::vector< std::vector< int > > & X, std::vector< int > & y)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB169\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "float bayesnet::Ensemble::score (torch::Tensor & X, torch::Tensor & y)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB158\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Ensemble::show () const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB180\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Ensemble::topological_order ()\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB30\fP of file \fBEnsemble\&.h\fP\&.
-.SS "void bayesnet::Ensemble::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB16\fP of file \fBEnsemble\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Ensemble::voting (torch::Tensor & votes)\fR [protected]\fP"
-
-.PP
-Definition at line \fB38\fP of file \fBEnsemble\&.cc\fP\&.
-.SH "Member Data Documentation"
-.PP 
-.SS "std::vector<std::unique_ptr<\fBClassifier\fP> > bayesnet::Ensemble::models\fR [protected]\fP"
-
-.PP
-Definition at line \fB47\fP of file \fBEnsemble\&.h\fP\&.
-.SS "unsigned bayesnet::Ensemble::n_models\fR [protected]\fP"
-
-.PP
-Definition at line \fB46\fP of file \fBEnsemble\&.h\fP\&.
-.SS "bool bayesnet::Ensemble::predict_voting\fR [protected]\fP"
-
-.PP
-Definition at line \fB50\fP of file \fBEnsemble\&.h\fP\&.
-.SS "std::vector<double> bayesnet::Ensemble::significanceModels\fR [protected]\fP"
-
-.PP
-Definition at line \fB48\fP of file \fBEnsemble\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_KDB.3 b/docs/man3/bayesnet_KDB.3
deleted file mode 100644
index 0f9615b..0000000
--- a/docs/man3/bayesnet_KDB.3
+++ /dev/null
@@ -1,201 +0,0 @@
-.TH "bayesnet::KDB" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::KDB
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Classifier\fP\&.
-.PP
-Inherited by \fBbayesnet::KDBLd\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBKDB\fP (int k, float theta=0\&.03)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='KDB') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB13\fP of file \fBKDB\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::KDB::KDB (int k, float theta = \fR0\&.03\fP)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB10\fP of file \fBKDB\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::KDB::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB28\fP of file \fBKDB\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::KDB::graph (const std::string & name = \fR'KDB'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB103\fP of file \fBKDB\&.cc\fP\&.
-.SS "void bayesnet::KDB::setHyperparameters (const nlohmann::json & hyperparameters_)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB15\fP of file \fBKDB\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_KDBLd.3 b/docs/man3/bayesnet_KDBLd.3
deleted file mode 100644
index 4ed0bb5..0000000
--- a/docs/man3/bayesnet_KDBLd.3
+++ /dev/null
@@ -1,254 +0,0 @@
-.TH "bayesnet::KDBLd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::KDBLd
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::KDB\fP, and \fBbayesnet::Proposal\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBKDBLd\fP (int k)"
-.br
-.ti -1c
-.RI "\fBKDBLd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='KDB') const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::KDB\fP
-.in +1c
-.ti -1c
-.RI "\fBKDB\fP (int k, float theta=0\&.03)"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters_) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
-.br
-.in -1c
-.SS "Static Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "static std::string \fBversion\fP ()"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Member Functions inherited from \fBbayesnet::KDB\fP
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBXf\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy\fP"
-.br
-.ti -1c
-.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB13\fP of file \fBKDBLd\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::KDBLd::KDBLd (int k)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB10\fP of file \fBKDBLd\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "\fBKDBLd\fP & bayesnet::KDBLd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBKDBLd\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::KDBLd::graph (const std::string & name = \fR'KDB'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::KDB\fP\&.
-.PP
-Definition at line \fB31\fP of file \fBKDBLd\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::KDBLd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB26\fP of file \fBKDBLd\&.cc\fP\&.
-.SS "static std::string bayesnet::KDBLd::version ()\fR [inline]\fP, \fR [static]\fP"
-
-.PP
-Definition at line \fB21\fP of file \fBKDBLd\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Network.3 b/docs/man3/bayesnet_Network.3
deleted file mode 100644
index e5b40a9..0000000
--- a/docs/man3/bayesnet_Network.3
+++ /dev/null
@@ -1,223 +0,0 @@
-.TH "bayesnet::Network" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::Network
-.SH SYNOPSIS
-.br
-.PP
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBNetwork\fP (float)"
-.br
-.ti -1c
-.RI "\fBNetwork\fP (const \fBNetwork\fP &)"
-.br
-.ti -1c
-.RI "torch::Tensor & \fBgetSamples\fP ()"
-.br
-.ti -1c
-.RI "float \fBgetMaxThreads\fP () const"
-.br
-.ti -1c
-.RI "void \fBaddNode\fP (const std::string &)"
-.br
-.ti -1c
-.RI "void \fBaddEdge\fP (const std::string &, const std::string &)"
-.br
-.ti -1c
-.RI "std::map< std::string, std::unique_ptr< \fBNode\fP > > & \fBgetNodes\fP ()"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetFeatures\fP () const"
-.br
-.ti -1c
-.RI "int \fBgetStates\fP () const"
-.br
-.ti -1c
-.RI "std::vector< std::pair< std::string, std::string > > \fBgetEdges\fP () const"
-.br
-.ti -1c
-.RI "int \fBgetNumEdges\fP () const"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const"
-.br
-.ti -1c
-.RI "std::string \fBgetClassName\fP () const"
-.br
-.ti -1c
-.RI "void \fBfit\fP (const std::vector< std::vector< int > > &input_data, const std::vector< int > &labels, const std::vector< double > &weights, const std::vector< std::string > &featureNames, const std::string &className, const std::map< std::string, std::vector< int > > &states)"
-.br
-.ti -1c
-.RI "void \fBfit\fP (const torch::Tensor &X, const torch::Tensor &y, const torch::Tensor &weights, const std::vector< std::string > &featureNames, const std::string &className, const std::map< std::string, std::vector< int > > &states)"
-.br
-.ti -1c
-.RI "void \fBfit\fP (const torch::Tensor &samples, const torch::Tensor &weights, const std::vector< std::string > &featureNames, const std::string &className, const std::map< std::string, std::vector< int > > &states)"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (const std::vector< std::vector< int > > &)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (const torch::Tensor &)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_tensor\fP (const torch::Tensor &samples, const bool proba)"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (const std::vector< std::vector< int > > &)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (const torch::Tensor &)"
-.br
-.ti -1c
-.RI "double \fBscore\fP (const std::vector< std::vector< int > > &, const std::vector< int > &)"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_sort\fP ()"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const"
-.br
-.ti -1c
-.RI "void \fBinitialize\fP ()"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const"
-.br
-.ti -1c
-.RI "std::string \fBversion\fP ()"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB15\fP of file \fBNetwork\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::Network::Network ()"
-
-.PP
-Definition at line \fB13\fP of file \fBNetwork\&.cc\fP\&.
-.SS "bayesnet::Network::Network (float maxT)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB16\fP of file \fBNetwork\&.cc\fP\&.
-.SS "bayesnet::Network::Network (const \fBNetwork\fP & other)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB20\fP of file \fBNetwork\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::Network::addEdge (const std::string & parent, const std::string & child)"
-
-.PP
-Definition at line \fB95\fP of file \fBNetwork\&.cc\fP\&.
-.SS "void bayesnet::Network::addNode (const std::string & name)"
-
-.PP
-Definition at line \fB46\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::string bayesnet::Network::dump_cpt () const"
-
-.PP
-Definition at line \fB420\fP of file \fBNetwork\&.cc\fP\&.
-.SS "void bayesnet::Network::fit (const std::vector< std::vector< int > > & input_data, const std::vector< int > & labels, const std::vector< double > & weights, const std::vector< std::string > & featureNames, const std::string & className, const std::map< std::string, std::vector< int > > & states)"
-
-.PP
-Definition at line \fB177\fP of file \fBNetwork\&.cc\fP\&.
-.SS "void bayesnet::Network::fit (const torch::Tensor & samples, const torch::Tensor & weights, const std::vector< std::string > & featureNames, const std::string & className, const std::map< std::string, std::vector< int > > & states)"
-
-.PP
-Definition at line \fB169\fP of file \fBNetwork\&.cc\fP\&.
-.SS "void bayesnet::Network::fit (const torch::Tensor & X, const torch::Tensor & y, const torch::Tensor & weights, const std::vector< std::string > & featureNames, const std::string & className, const std::map< std::string, std::vector< int > > & states)"
-
-.PP
-Definition at line \fB158\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::string bayesnet::Network::getClassName () const"
-
-.PP
-Definition at line \fB75\fP of file \fBNetwork\&.cc\fP\&.
-.SS "int bayesnet::Network::getClassNumStates () const"
-
-.PP
-Definition at line \fB63\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< std::pair< std::string, std::string > > bayesnet::Network::getEdges () const"
-
-.PP
-Definition at line \fB371\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Network::getFeatures () const"
-
-.PP
-Definition at line \fB59\fP of file \fBNetwork\&.cc\fP\&.
-.SS "float bayesnet::Network::getMaxThreads () const"
-
-.PP
-Definition at line \fB38\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::map< std::string, std::unique_ptr< \fBNode\fP > > & bayesnet::Network::getNodes ()"
-
-.PP
-Definition at line \fB116\fP of file \fBNetwork\&.cc\fP\&.
-.SS "int bayesnet::Network::getNumEdges () const"
-
-.PP
-Definition at line \fB383\fP of file \fBNetwork\&.cc\fP\&.
-.SS "torch::Tensor & bayesnet::Network::getSamples ()"
-
-.PP
-Definition at line \fB42\fP of file \fBNetwork\&.cc\fP\&.
-.SS "int bayesnet::Network::getStates () const"
-
-.PP
-Definition at line \fB67\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Network::graph (const std::string & title) const"
-
-.PP
-Definition at line \fB357\fP of file \fBNetwork\&.cc\fP\&.
-.SS "void bayesnet::Network::initialize ()"
-
-.PP
-Definition at line \fB29\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< int > bayesnet::Network::predict (const std::vector< std::vector< int > > & tsamples)"
-
-.PP
-Definition at line \fB237\fP of file \fBNetwork\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Network::predict (const torch::Tensor & samples)"
-
-.PP
-Definition at line \fB230\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< std::vector< double > > bayesnet::Network::predict_proba (const std::vector< std::vector< int > > & tsamples)"
-
-.PP
-Definition at line \fB259\fP of file \fBNetwork\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Network::predict_proba (const torch::Tensor & samples)"
-
-.PP
-Definition at line \fB224\fP of file \fBNetwork\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Network::predict_tensor (const torch::Tensor & samples, const bool proba)"
-
-.PP
-Definition at line \fB205\fP of file \fBNetwork\&.cc\fP\&.
-.SS "double bayesnet::Network::score (const std::vector< std::vector< int > > & tsamples, const std::vector< int > & labels)"
-
-.PP
-Definition at line \fB275\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Network::show () const"
-
-.PP
-Definition at line \fB344\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Network::topological_sort ()"
-
-.PP
-Definition at line \fB387\fP of file \fBNetwork\&.cc\fP\&.
-.SS "std::string bayesnet::Network::version ()\fR [inline]\fP"
-
-.PP
-Definition at line \fB49\fP of file \fBNetwork\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Node.3 b/docs/man3/bayesnet_Node.3
deleted file mode 100644
index d3279e4..0000000
--- a/docs/man3/bayesnet_Node.3
+++ /dev/null
@@ -1,135 +0,0 @@
-.TH "bayesnet::Node" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::Node
-.SH SYNOPSIS
-.br
-.PP
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBNode\fP (const std::string &)"
-.br
-.ti -1c
-.RI "void \fBclear\fP ()"
-.br
-.ti -1c
-.RI "void \fBaddParent\fP (\fBNode\fP *)"
-.br
-.ti -1c
-.RI "void \fBaddChild\fP (\fBNode\fP *)"
-.br
-.ti -1c
-.RI "void \fBremoveParent\fP (\fBNode\fP *)"
-.br
-.ti -1c
-.RI "void \fBremoveChild\fP (\fBNode\fP *)"
-.br
-.ti -1c
-.RI "std::string \fBgetName\fP () const"
-.br
-.ti -1c
-.RI "std::vector< \fBNode\fP * > & \fBgetParents\fP ()"
-.br
-.ti -1c
-.RI "std::vector< \fBNode\fP * > & \fBgetChildren\fP ()"
-.br
-.ti -1c
-.RI "torch::Tensor & \fBgetCPT\fP ()"
-.br
-.ti -1c
-.RI "void \fBcomputeCPT\fP (const torch::Tensor &dataset, const std::vector< std::string > &features, const double laplaceSmoothing, const torch::Tensor &weights)"
-.br
-.ti -1c
-.RI "int \fBgetNumStates\fP () const"
-.br
-.ti -1c
-.RI "void \fBsetNumStates\fP (int)"
-.br
-.ti -1c
-.RI "unsigned \fBminFill\fP ()"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &clasName)"
-.br
-.ti -1c
-.RI "float \fBgetFactorValue\fP (std::map< std::string, int > &)"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB14\fP of file \fBNode\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::Node::Node (const std::string & name)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBNode\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::Node::addChild (\fBNode\fP * child)"
-
-.PP
-Definition at line \fB39\fP of file \fBNode\&.cc\fP\&.
-.SS "void bayesnet::Node::addParent (\fBNode\fP * parent)"
-
-.PP
-Definition at line \fB27\fP of file \fBNode\&.cc\fP\&.
-.SS "void bayesnet::Node::clear ()"
-
-.PP
-Definition at line \fB15\fP of file \fBNode\&.cc\fP\&.
-.SS "void bayesnet::Node::computeCPT (const torch::Tensor & dataset, const std::vector< std::string > & features, const double laplaceSmoothing, const torch::Tensor & weights)"
-
-.PP
-Definition at line \fB93\fP of file \fBNode\&.cc\fP\&.
-.SS "std::vector< \fBNode\fP * > & bayesnet::Node::getChildren ()"
-
-.PP
-Definition at line \fB47\fP of file \fBNode\&.cc\fP\&.
-.SS "torch::Tensor & bayesnet::Node::getCPT ()"
-
-.PP
-Definition at line \fB59\fP of file \fBNode\&.cc\fP\&.
-.SS "float bayesnet::Node::getFactorValue (std::map< std::string, int > & evidence)"
-
-.PP
-Definition at line \fB124\fP of file \fBNode\&.cc\fP\&.
-.SS "std::string bayesnet::Node::getName () const"
-
-.PP
-Definition at line \fB23\fP of file \fBNode\&.cc\fP\&.
-.SS "int bayesnet::Node::getNumStates () const"
-
-.PP
-Definition at line \fB51\fP of file \fBNode\&.cc\fP\&.
-.SS "std::vector< \fBNode\fP * > & bayesnet::Node::getParents ()"
-
-.PP
-Definition at line \fB43\fP of file \fBNode\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::Node::graph (const std::string & clasName)"
-
-.PP
-Definition at line \fB132\fP of file \fBNode\&.cc\fP\&.
-.SS "unsigned bayesnet::Node::minFill ()"
-
-.PP
-Definition at line \fB70\fP of file \fBNode\&.cc\fP\&.
-.SS "void bayesnet::Node::removeChild (\fBNode\fP * child)"
-
-.PP
-Definition at line \fB35\fP of file \fBNode\&.cc\fP\&.
-.SS "void bayesnet::Node::removeParent (\fBNode\fP * parent)"
-
-.PP
-Definition at line \fB31\fP of file \fBNode\&.cc\fP\&.
-.SS "void bayesnet::Node::setNumStates (int numStates)"
-
-.PP
-Definition at line \fB55\fP of file \fBNode\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_Proposal.3 b/docs/man3/bayesnet_Proposal.3
deleted file mode 100644
index ad37186..0000000
--- a/docs/man3/bayesnet_Proposal.3
+++ /dev/null
@@ -1,95 +0,0 @@
-.TH "bayesnet::Proposal" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::Proposal
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherited by \fBbayesnet::AODELd\fP, \fBbayesnet::KDBLd\fP, \fBbayesnet::SPODELd\fP, and \fBbayesnet::TANLd\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
-.br
-.in -1c
-.SS "Protected Attributes"
-
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBXf\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy\fP"
-.br
-.ti -1c
-.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB17\fP of file \fBProposal\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::Proposal::Proposal (torch::Tensor & pDataset, std::vector< std::string > & features_, std::string & className_)"
-
-.PP
-Definition at line \fB10\fP of file \fBProposal\&.cc\fP\&.
-.SS "bayesnet::Proposal::~Proposal ()\fR [virtual]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBProposal\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::Proposal::checkInput (const torch::Tensor & X, const torch::Tensor & y)\fR [protected]\fP"
-
-.PP
-Definition at line \fB17\fP of file \fBProposal\&.cc\fP\&.
-.SS "map< std::string, std::vector< int > > bayesnet::Proposal::fit_local_discretization (const torch::Tensor & y)\fR [protected]\fP"
-
-.PP
-Definition at line \fB77\fP of file \fBProposal\&.cc\fP\&.
-.SS "map< std::string, std::vector< int > > bayesnet::Proposal::localDiscretizationProposal (const map< std::string, std::vector< int > > & states, \fBNetwork\fP & model)\fR [protected]\fP"
-
-.PP
-Definition at line \fB26\fP of file \fBProposal\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::Proposal::prepareX (torch::Tensor & X)\fR [protected]\fP"
-
-.PP
-Definition at line \fB104\fP of file \fBProposal\&.cc\fP\&.
-.SH "Member Data Documentation"
-.PP 
-.SS "map<std::string, mdlp::CPPFImdlp*> bayesnet::Proposal::discretizers\fR [protected]\fP"
-
-.PP
-Definition at line \fB28\fP of file \fBProposal\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Proposal::Xf\fR [protected]\fP"
-
-.PP
-Definition at line \fB26\fP of file \fBProposal\&.h\fP\&.
-.SS "torch::Tensor bayesnet::Proposal::y\fR [protected]\fP"
-
-.PP
-Definition at line \fB27\fP of file \fBProposal\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_SPODE.3 b/docs/man3/bayesnet_SPODE.3
deleted file mode 100644
index d75d468..0000000
--- a/docs/man3/bayesnet_SPODE.3
+++ /dev/null
@@ -1,195 +0,0 @@
-.TH "bayesnet::SPODE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::SPODE
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Classifier\fP\&.
-.PP
-Inherited by \fBbayesnet::SPODELd\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBSPODE\fP (int root)"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='SPODE') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB12\fP of file \fBSPODE\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::SPODE::SPODE (int root)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBSPODE\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::SPODE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB13\fP of file \fBSPODE\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::SPODE::graph (const std::string & name = \fR'SPODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB26\fP of file \fBSPODE\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_SPODELd.3 b/docs/man3/bayesnet_SPODELd.3
deleted file mode 100644
index 43e1bdc..0000000
--- a/docs/man3/bayesnet_SPODELd.3
+++ /dev/null
@@ -1,268 +0,0 @@
-.TH "bayesnet::SPODELd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::SPODELd
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::SPODE\fP, and \fBbayesnet::Proposal\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBSPODELd\fP (int root)"
-.br
-.ti -1c
-.RI "\fBSPODELd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBSPODELd\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBSPODELd\fP & \fBcommonFit\fP (const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states)"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='SPODE') const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::SPODE\fP
-.in +1c
-.ti -1c
-.RI "\fBSPODE\fP (int root)"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
-.br
-.in -1c
-.SS "Static Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "static std::string \fBversion\fP ()"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Member Functions inherited from \fBbayesnet::SPODE\fP
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBXf\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy\fP"
-.br
-.ti -1c
-.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB13\fP of file \fBSPODELd\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::SPODELd::SPODELd (int root)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB10\fP of file \fBSPODELd\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "\fBSPODELd\fP & bayesnet::SPODELd::commonFit (const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)"
-
-.PP
-Definition at line \fB29\fP of file \fBSPODELd\&.cc\fP\&.
-.SS "\fBSPODELd\fP & bayesnet::SPODELd::fit (torch::Tensor & dataset, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
-
-.PP
-Definition at line \fB19\fP of file \fBSPODELd\&.cc\fP\&.
-.SS "\fBSPODELd\fP & bayesnet::SPODELd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBSPODELd\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::SPODELd::graph (const std::string & name = \fR'SPODE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::SPODE\fP\&.
-.PP
-Definition at line \fB46\fP of file \fBSPODELd\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::SPODELd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB41\fP of file \fBSPODELd\&.cc\fP\&.
-.SS "static std::string bayesnet::SPODELd::version ()\fR [inline]\fP, \fR [static]\fP"
-
-.PP
-Definition at line \fB22\fP of file \fBSPODELd\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_SPnDE.3 b/docs/man3/bayesnet_SPnDE.3
deleted file mode 100644
index afb6e61..0000000
--- a/docs/man3/bayesnet_SPnDE.3
+++ /dev/null
@@ -1,193 +0,0 @@
-.TH "bayesnet::SPnDE" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::SPnDE
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Classifier\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBSPnDE\fP (std::vector< int > parents)"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='SPnDE') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB13\fP of file \fBSPnDE\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::SPnDE::SPnDE (std::vector< int > parents)\fR [explicit]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBSPnDE\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::SPnDE::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB13\fP of file \fBSPnDE\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::SPnDE::graph (const std::string & name = \fR'SPnDE'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB33\fP of file \fBSPnDE\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_TAN.3 b/docs/man3/bayesnet_TAN.3
deleted file mode 100644
index 1aa8b71..0000000
--- a/docs/man3/bayesnet_TAN.3
+++ /dev/null
@@ -1,192 +0,0 @@
-.TH "bayesnet::TAN" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::TAN
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::Classifier\fP\&.
-.PP
-Inherited by \fBbayesnet::TANLd\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='TAN') const override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-.SS "Protected Member Functions"
-
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB11\fP of file \fBTAN\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::TAN::TAN ()"
-
-.PP
-Definition at line \fB10\fP of file \fBTAN\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "void bayesnet::TAN::buildModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB12\fP of file \fBTAN\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::TAN::graph (const std::string & name = \fR'TAN'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Implements \fBbayesnet::BaseClassifier\fP\&.
-.PP
-Definition at line \fB41\fP of file \fBTAN\&.cc\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/man3/bayesnet_TANLd.3 b/docs/man3/bayesnet_TANLd.3
deleted file mode 100644
index 45b05d3..0000000
--- a/docs/man3/bayesnet_TANLd.3
+++ /dev/null
@@ -1,244 +0,0 @@
-.TH "bayesnet::TANLd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
-.ad l
-.nh
-.SH NAME
-bayesnet::TANLd
-.SH SYNOPSIS
-.br
-.PP
-.PP
-Inherits \fBbayesnet::TAN\fP, and \fBbayesnet::Proposal\fP\&.
-.SS "Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "\fBTANLd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='TAN') const override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "\fBClassifier\fP (\fBNetwork\fP model)"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override"
-.br
-.ti -1c
-.RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBaddNodes\fP ()"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfNodes\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfEdges\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetNumberOfStates\fP () const override"
-.br
-.ti -1c
-.RI "int \fBgetClassNumStates\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override"
-.br
-.ti -1c
-.RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override"
-.br
-.ti -1c
-.RI "status_t \fBgetStatus\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBgetVersion\fP () override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override"
-.br
-.ti -1c
-.RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBshow\fP () const override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBtopological_order\fP () override"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBgetNotes\fP () const override"
-.br
-.ti -1c
-.RI "std::string \fBdump_cpt\fP () const override"
-.br
-.ti -1c
-.RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()"
-.br
-.in -1c
-
-Public Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
-.br
-.in -1c
-.SS "Static Public Member Functions"
-
-.in +1c
-.ti -1c
-.RI "static std::string \fBversion\fP ()"
-.br
-.in -1c
-.SS "Additional Inherited Members"
-
-
-Protected Member Functions inherited from \fBbayesnet::TAN\fP
-.in +1c
-.ti -1c
-.RI "void \fBbuildModel\fP (const torch::Tensor &weights) override"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckFitParameters\fP ()"
-.br
-.ti -1c
-.RI "void \fBtrainModel\fP (const torch::Tensor &weights) override"
-.br
-.ti -1c
-.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Member Functions inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
-.br
-.ti -1c
-.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
-.br
-.ti -1c
-.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Classifier\fP
-.in +1c
-.ti -1c
-.RI "bool \fBfitted\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBm\fP"
-.br
-.ti -1c
-.RI "unsigned int \fBn\fP"
-.br
-.ti -1c
-.RI "\fBNetwork\fP \fBmodel\fP"
-.br
-.ti -1c
-.RI "Metrics \fBmetrics\fP"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBfeatures\fP"
-.br
-.ti -1c
-.RI "std::string \fBclassName\fP"
-.br
-.ti -1c
-.RI "std::map< std::string, std::vector< int > > \fBstates\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBdataset\fP"
-.br
-.ti -1c
-.RI "status_t \fBstatus\fP = NORMAL"
-.br
-.ti -1c
-.RI "std::vector< std::string > \fBnotes\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP
-.in +1c
-.ti -1c
-.RI "std::vector< std::string > \fBvalidHyperparameters\fP"
-.br
-.in -1c
-
-Protected Attributes inherited from \fBbayesnet::Proposal\fP
-.in +1c
-.ti -1c
-.RI "torch::Tensor \fBXf\fP"
-.br
-.ti -1c
-.RI "torch::Tensor \fBy\fP"
-.br
-.ti -1c
-.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
-.br
-.in -1c
-.SH "Detailed Description"
-.PP 
-Definition at line \fB13\fP of file \fBTANLd\&.h\fP\&.
-.SH "Constructor & Destructor Documentation"
-.PP 
-.SS "bayesnet::TANLd::TANLd ()"
-
-.PP
-Definition at line \fB10\fP of file \fBTANLd\&.cc\fP\&.
-.SH "Member Function Documentation"
-.PP 
-.SS "\fBTANLd\fP & bayesnet::TANLd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
-
-.PP
-Definition at line \fB11\fP of file \fBTANLd\&.cc\fP\&.
-.SS "std::vector< std::string > bayesnet::TANLd::graph (const std::string & name = \fR'TAN'\fP) const\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::TAN\fP\&.
-.PP
-Definition at line \fB32\fP of file \fBTANLd\&.cc\fP\&.
-.SS "torch::Tensor bayesnet::TANLd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
-
-.PP
-Reimplemented from \fBbayesnet::Classifier\fP\&.
-.PP
-Definition at line \fB27\fP of file \fBTANLd\&.cc\fP\&.
-.SS "static std::string bayesnet::TANLd::version ()\fR [inline]\fP, \fR [static]\fP"
-
-.PP
-Definition at line \fB21\fP of file \fBTANLd\&.h\fP\&.
-
-.SH "Author"
-.PP 
-Generated automatically by Doxygen for BayesNet from the source code\&.
diff --git a/docs/manual/_a2_d_e_8cc_source.html b/docs/manual/_a2_d_e_8cc_source.html
deleted file mode 100644
index c60a9ee..0000000
--- a/docs/manual/_a2_d_e_8cc_source.html
+++ /dev/null
@@ -1,154 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/A2DE.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_a2_d_e_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">A2DE.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;A2DE.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    A2DE::A2DE(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting)</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        validHyperparameters = { <span class="stringliteral">&quot;predict_voting&quot;</span> };</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    }</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keywordtype">void</span> A2DE::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    {</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;predict_voting&quot;</span>)) {</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>            predict_voting = hyperparameters[<span class="stringliteral">&quot;predict_voting&quot;</span>];</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            hyperparameters.erase(<span class="stringliteral">&quot;predict_voting&quot;</span>);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        }</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        Classifier::setHyperparameters(hyperparameters);</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    }</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    <span class="keywordtype">void</span> A2DE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    {</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        models.clear();</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        significanceModels.clear();</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; features.size() - 1; ++i) {</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = i + 1; j &lt; features.size(); ++j) {</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>                <span class="keyword">auto</span> model = std::make_unique&lt;SPnDE&gt;(std::vector&lt;int&gt;({ i, j }));</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>                models.push_back(std::move(model));</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>            }</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        }</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        n_models = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span><span class="keyword">&gt;</span>(models.size());</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    }</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    std::vector&lt;std::string&gt; A2DE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    }</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>A2DE.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_a2_d_e_8h_source.html b/docs/manual/_a2_d_e_8h_source.html
deleted file mode 100644
index 9264c69..0000000
--- a/docs/manual/_a2_d_e_8h_source.html
+++ /dev/null
@@ -1,140 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/A2DE.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_a2_d_e_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">A2DE.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef A2DE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define A2DE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPnDE.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00012" data-start="{" data-end="};">
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_a2_d_e.html">   12</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_a2_d_e.html">A2DE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <a class="code hl_class" href="classbayesnet_1_1_a2_d_e.html">A2DE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_a2_d_e.html">~A2DE</a>() {};</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;A2DE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    };</div>
-</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>}</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_a2_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00012">A2DE.h:12</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>A2DE.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_a_o_d_e_8cc_source.html b/docs/manual/_a_o_d_e_8cc_source.html
deleted file mode 100644
index 01ec16d..0000000
--- a/docs/manual/_a_o_d_e_8cc_source.html
+++ /dev/null
@@ -1,152 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODE.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_a_o_d_e_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">AODE.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;AODE.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    AODE::AODE(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting)</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        validHyperparameters = { <span class="stringliteral">&quot;predict_voting&quot;</span> };</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    }</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keywordtype">void</span> AODE::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    {</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;predict_voting&quot;</span>)) {</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            predict_voting = hyperparameters[<span class="stringliteral">&quot;predict_voting&quot;</span>];</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            hyperparameters.erase(<span class="stringliteral">&quot;predict_voting&quot;</span>);</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        }</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        Classifier::setHyperparameters(hyperparameters);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    }</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    <span class="keywordtype">void</span> AODE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    {</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        models.clear();</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        significanceModels.clear();</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; features.size(); ++i) {</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>            models.push_back(std::make_unique&lt;SPODE&gt;(i));</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        }</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        n_models = models.size();</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    }</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    std::vector&lt;std::string&gt; AODE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    }</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODE.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_a_o_d_e_8h_source.html b/docs/manual/_a_o_d_e_8h_source.html
deleted file mode 100644
index dbd20c0..0000000
--- a/docs/manual/_a_o_d_e_8h_source.html
+++ /dev/null
@@ -1,140 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODE.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_a_o_d_e_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">AODE.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef AODE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define AODE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPODE.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00012" data-start="{" data-end="};">
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_a_o_d_e.html">   12</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_a_o_d_e.html">AODE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e.html">AODE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e.html">~AODE</a>() {};</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;AODE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    };</div>
-</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>}</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_a_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00012">AODE.h:12</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODE.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_a_o_d_e_ld_8cc_source.html b/docs/manual/_a_o_d_e_ld_8cc_source.html
deleted file mode 100644
index bcc508c..0000000
--- a/docs/manual/_a_o_d_e_ld_8cc_source.html
+++ /dev/null
@@ -1,161 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODELd.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_a_o_d_e_ld_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">AODELd.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;AODELd.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    AODELd::AODELd(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting), Proposal(dataset, features, className)</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    }</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    AODELd&amp; AODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        checkInput(X_, y_);</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        features = features_;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        className = className_;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        Xf = X_;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        y = y_;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        states = fit_local_discretization(y);</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="comment">// We have discretized the input data</span></div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="comment">// 1st we need to fit the model to build the normal TAN structure, TAN::fit initializes the base Bayesian network</span></div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        Ensemble::fit(dataset, features, className, states);</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span> </div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    }</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    <span class="keywordtype">void</span> AODELd::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    {</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        models.clear();</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; features.size(); ++i) {</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            models.push_back(std::make_unique&lt;SPODELd&gt;(i));</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        }</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        n_models = models.size();</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    }</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    <span class="keywordtype">void</span> AODELd::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    {</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; model : models) {</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>            model-&gt;fit(Xf, y, features, className, states);</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        }</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    }</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    std::vector&lt;std::string&gt; AODELd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordflow">return</span> Ensemble::graph(name);</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    }</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODELd.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_a_o_d_e_ld_8h_source.html b/docs/manual/_a_o_d_e_ld_8h_source.html
deleted file mode 100644
index 1420501..0000000
--- a/docs/manual/_a_o_d_e_ld_8h_source.html
+++ /dev/null
@@ -1,144 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/AODELd.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_a_o_d_e_ld_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">AODELd.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef AODELD_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define AODELD_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/classifiers/Proposal.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPODELd.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span> </div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00014" data-start="{" data-end="};">
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_a_o_d_e_ld.html">   14</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">true</span>);</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">~AODELd</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a>&amp; fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;AODELd&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    };</div>
-</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>}</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="preprocessor">#endif </span><span class="comment">// !AODELD_H</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_a_o_d_e_ld_html"><div class="ttname"><a href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00014">AODELd.h:14</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>AODELd.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_base_classifier_8h_source.html b/docs/manual/_base_classifier_8h_source.html
deleted file mode 100644
index e27c0b8..0000000
--- a/docs/manual/_base_classifier_8h_source.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/BaseClassifier.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_base_classifier_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">BaseClassifier.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#pragma once</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;nlohmann/json.hpp&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="keyword">enum</span> status_t { NORMAL, WARNING, ERROR };</div>
-<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_base_classifier.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="comment">// X is nxm std::vector, y is nx1 std::vector</span></div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="comment">// X is nxm tensor, y is nx1 tensor</span></div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights) = 0;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">~BaseClassifier</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        torch::Tensor <span class="keyword">virtual</span> predict(torch::Tensor&amp; X) = 0;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::vector&lt;int&gt; <span class="keyword">virtual</span> predict(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        torch::Tensor <span class="keyword">virtual</span> predict_proba(torch::Tensor&amp; X) = 0;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::vector&lt;std::vector&lt;double&gt;&gt; <span class="keyword">virtual</span> predict_proba(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        status_t <span class="keyword">virtual</span> getStatus() <span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">float</span> <span class="keyword">virtual</span> score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) = 0;</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordtype">float</span> <span class="keyword">virtual</span> score(torch::Tensor&amp; X, torch::Tensor&amp; y) = 0;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getNumberOfNodes()<span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getNumberOfEdges()<span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getNumberOfStates() <span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="keywordtype">int</span> <span class="keyword">virtual</span> getClassNumStates() <span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> show() <span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;&quot;</span>) <span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keyword">virtual</span> std::string getVersion() = 0;</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> topological_order() = 0;</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        std::vector&lt;std::string&gt; <span class="keyword">virtual</span> getNotes() <span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::string <span class="keyword">virtual</span> dump_cpt()<span class="keyword">const</span> = 0;</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keyword">virtual</span> <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) = 0;</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        std::vector&lt;std::string&gt;&amp; getValidHyperparameters() { <span class="keywordflow">return</span> validHyperparameters; }</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keyword">virtual</span> <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) = 0;</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        std::vector&lt;std::string&gt; validHyperparameters;</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    };</div>
-</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>}</div>
-<div class="ttc" id="aclassbayesnet_1_1_base_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">BaseClassifier.h:13</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><b>BaseClassifier.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_boost_8cc_source.html b/docs/manual/_boost_8cc_source.html
deleted file mode 100644
index a6fda15..0000000
--- a/docs/manual/_boost_8cc_source.html
+++ /dev/null
@@ -1,360 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Boost.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_boost_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Boost.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="preprocessor">#include &lt;folding.hpp&gt;</span></div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/CFS.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/FCBF.h&quot;</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/IWSS.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Boost.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    Boost::Boost(<span class="keywordtype">bool</span> predict_voting) : Ensemble(predict_voting)</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        validHyperparameters = { <span class="stringliteral">&quot;order&quot;</span>, <span class="stringliteral">&quot;convergence&quot;</span>, <span class="stringliteral">&quot;convergence_best&quot;</span>, <span class="stringliteral">&quot;bisection&quot;</span>, <span class="stringliteral">&quot;threshold&quot;</span>, <span class="stringliteral">&quot;maxTolerance&quot;</span>,</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="stringliteral">&quot;predict_voting&quot;</span>, <span class="stringliteral">&quot;select_features&quot;</span>, <span class="stringliteral">&quot;block_update&quot;</span> };</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    }</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keywordtype">void</span> Boost::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    {</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;order&quot;</span>)) {</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            std::vector&lt;std::string&gt; algos = { Orders.ASC, Orders.DESC, Orders.RAND };</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            order_algorithm = hyperparameters[<span class="stringliteral">&quot;order&quot;</span>];</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            <span class="keywordflow">if</span> (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid order algorithm, valid values [&quot;</span> + Orders.ASC + <span class="stringliteral">&quot;, &quot;</span> + Orders.DESC + <span class="stringliteral">&quot;, &quot;</span> + Orders.RAND + <span class="stringliteral">&quot;]&quot;</span>);</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            }</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            hyperparameters.erase(<span class="stringliteral">&quot;order&quot;</span>);</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        }</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;convergence&quot;</span>)) {</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>            convergence = hyperparameters[<span class="stringliteral">&quot;convergence&quot;</span>];</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>            hyperparameters.erase(<span class="stringliteral">&quot;convergence&quot;</span>);</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        }</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;convergence_best&quot;</span>)) {</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>            convergence_best = hyperparameters[<span class="stringliteral">&quot;convergence_best&quot;</span>];</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>            hyperparameters.erase(<span class="stringliteral">&quot;convergence_best&quot;</span>);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        }</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;bisection&quot;</span>)) {</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            bisection = hyperparameters[<span class="stringliteral">&quot;bisection&quot;</span>];</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            hyperparameters.erase(<span class="stringliteral">&quot;bisection&quot;</span>);</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        }</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;threshold&quot;</span>)) {</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>            threshold = hyperparameters[<span class="stringliteral">&quot;threshold&quot;</span>];</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>            hyperparameters.erase(<span class="stringliteral">&quot;threshold&quot;</span>);</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        }</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;maxTolerance&quot;</span>)) {</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>            maxTolerance = hyperparameters[<span class="stringliteral">&quot;maxTolerance&quot;</span>];</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>            <span class="keywordflow">if</span> (maxTolerance &lt; 1 || maxTolerance &gt; 4)</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid maxTolerance value, must be greater in [1, 4]&quot;</span>);</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            hyperparameters.erase(<span class="stringliteral">&quot;maxTolerance&quot;</span>);</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        }</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;predict_voting&quot;</span>)) {</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>            predict_voting = hyperparameters[<span class="stringliteral">&quot;predict_voting&quot;</span>];</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            hyperparameters.erase(<span class="stringliteral">&quot;predict_voting&quot;</span>);</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        }</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;select_features&quot;</span>)) {</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            <span class="keyword">auto</span> selectedAlgorithm = hyperparameters[<span class="stringliteral">&quot;select_features&quot;</span>];</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            std::vector&lt;std::string&gt; algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>            selectFeatures = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>            select_features_algorithm = selectedAlgorithm;</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>            <span class="keywordflow">if</span> (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid selectFeatures value, valid values [&quot;</span> + SelectFeatures.IWSS + <span class="stringliteral">&quot;, &quot;</span> + SelectFeatures.CFS + <span class="stringliteral">&quot;, &quot;</span> + SelectFeatures.FCBF + <span class="stringliteral">&quot;]&quot;</span>);</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            }</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            hyperparameters.erase(<span class="stringliteral">&quot;select_features&quot;</span>);</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        }</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;block_update&quot;</span>)) {</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>            block_update = hyperparameters[<span class="stringliteral">&quot;block_update&quot;</span>];</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>            hyperparameters.erase(<span class="stringliteral">&quot;block_update&quot;</span>);</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        }</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        Classifier::setHyperparameters(hyperparameters);</div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    }</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    <span class="keywordtype">void</span> Boost::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>    {</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="comment">// Models shall be built in trainModel</span></div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        models.clear();</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        significanceModels.clear();</div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        n_models = 0;</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="comment">// Prepare the validation dataset</span></div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        <span class="keyword">auto</span> y_ = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="keywordflow">if</span> (convergence) {</div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>            <span class="comment">// Prepare train &amp; validation sets from train data</span></div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>            <span class="keyword">auto</span> fold = folding::StratifiedKFold(5, y_, 271);</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>            <span class="keyword">auto</span> [train, test] = fold.getFold(0);</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>            <span class="keyword">auto</span> train_t = torch::tensor(train);</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            <span class="keyword">auto</span> test_t = torch::tensor(test);</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="comment">// Get train and validation sets</span></div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            y_train = dataset.index({ -1, train_t });</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            y_test = dataset.index({ -1, test_t });</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            dataset = X_train;</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            m = X_train.size(1);</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>            <span class="keyword">auto</span> n_classes = states.at(className).size();</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            <span class="comment">// Build dataset with train data</span></div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            buildDataset(y_train);</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>            metrics = Metrics(dataset, features, className, n_classes);</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>            <span class="comment">// Use all data to train</span></div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            y_train = y_;</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        }</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>    }</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    std::vector&lt;int&gt; Boost::featureSelection(torch::Tensor&amp; weights_)</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    {</div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        <span class="keywordtype">int</span> maxFeatures = 0;</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        <span class="keywordflow">if</span> (select_features_algorithm == SelectFeatures.CFS) {</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>            featureSelector = <span class="keyword">new</span> CFS(dataset, features, className, maxFeatures, states.at(className).size(), weights_);</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (select_features_algorithm == SelectFeatures.IWSS) {</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            <span class="keywordflow">if</span> (threshold &lt; 0 || threshold &gt;0.5) {</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid threshold value for &quot;</span> + SelectFeatures.IWSS + <span class="stringliteral">&quot; [0, 0.5]&quot;</span>);</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            }</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>            featureSelector = <span class="keyword">new</span> IWSS(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (select_features_algorithm == SelectFeatures.FCBF) {</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            <span class="keywordflow">if</span> (threshold &lt; 1e-7 || threshold &gt; 1) {</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid threshold value for &quot;</span> + SelectFeatures.FCBF + <span class="stringliteral">&quot; [1e-7, 1]&quot;</span>);</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>            }</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>            featureSelector = <span class="keyword">new</span> FCBF(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        }</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        featureSelector-&gt;fit();</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keyword">auto</span> featuresUsed = featureSelector-&gt;getFeatures();</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        <span class="keyword">delete</span> featureSelector;</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        <span class="keywordflow">return</span> featuresUsed;</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>    }</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    std::tuple&lt;torch::Tensor&amp;, double, bool&gt; Boost::update_weights(torch::Tensor&amp; ytrain, torch::Tensor&amp; ypred, torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    {</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        <span class="keywordtype">bool</span> terminate = <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keywordtype">double</span> alpha_t = 0;</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="keyword">auto</span> mask_wrong = ypred != ytrain;</div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <span class="keyword">auto</span> mask_right = ypred == ytrain;</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keyword">auto</span> masked_weights = weights * mask_wrong.to(weights.dtype());</div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keywordtype">double</span> epsilon_t = masked_weights.sum().item&lt;<span class="keywordtype">double</span>&gt;();</div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordflow">if</span> (epsilon_t &gt; 0.5) {</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            <span class="comment">// Inverse the weights policy (plot ln(wt))</span></div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>            <span class="comment">// &quot;In each round of AdaBoost, there is a sanity check to ensure that the current base </span></div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            <span class="comment">// learner is better than random guess&quot; (Zhi-Hua Zhou, 2012)</span></div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>            terminate = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>            <span class="keywordtype">double</span> wt = (1 - epsilon_t) / epsilon_t;</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            alpha_t = epsilon_t == 0 ? 1 : 0.5 * log(wt);</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>            <span class="comment">// Step 3.2: Update weights for next classifier</span></div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>            <span class="comment">// Step 3.2.1: Update weights of wrong samples</span></div>
-<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>            weights += mask_wrong.to(weights.dtype()) * exp(alpha_t) * weights;</div>
-<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>            <span class="comment">// Step 3.2.2: Update weights of right samples</span></div>
-<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>            weights += mask_right.to(weights.dtype()) * exp(-alpha_t) * weights;</div>
-<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="comment">// Step 3.3: Normalise the weights</span></div>
-<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>            <span class="keywordtype">double</span> totalWeights = torch::sum(weights).item&lt;<span class="keywordtype">double</span>&gt;();</div>
-<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            weights = weights / totalWeights;</div>
-<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        }</div>
-<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        <span class="keywordflow">return</span> { weights, alpha_t, terminate };</div>
-<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    }</div>
-<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    std::tuple&lt;torch::Tensor&amp;, double, bool&gt; Boost::update_weights_block(<span class="keywordtype">int</span> k, torch::Tensor&amp; ytrain, torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    {</div>
-<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        <span class="comment">/* Update Block algorithm</span></div>
-<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment">            k = # of models in block</span></div>
-<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span><span class="comment">            n_models = # of models in ensemble to make predictions</span></div>
-<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span><span class="comment">            n_models_bak = # models saved</span></div>
-<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span><span class="comment">            models = vector of models to make predictions</span></div>
-<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span><span class="comment">            models_bak = models not used to make predictions</span></div>
-<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="comment">            significances_bak = backup of significances vector</span></div>
-<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span><span class="comment"></span> </div>
-<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">            Case list</span></div>
-<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="comment">            A) k = 1, n_models = 1      =&gt; n = 0 , n_models = n + k</span></div>
-<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span><span class="comment">            B) k = 1, n_models = n + 1  =&gt; n_models = n + k</span></div>
-<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span><span class="comment">            C) k &gt; 1, n_models = k + 1  =&gt; n= 1, n_models = n + k</span></div>
-<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="comment">            D) k &gt; 1, n_models = k      =&gt; n = 0, n_models = n + k</span></div>
-<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span><span class="comment">            E) k &gt; 1, n_models = k + n  =&gt; n_models = n + k</span></div>
-<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span><span class="comment"></span> </div>
-<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span><span class="comment">            A, D) n=0, k &gt; 0, n_models == k</span></div>
-<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span><span class="comment">            1. n_models_bak &lt;- n_models</span></div>
-<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="comment">            2. significances_bak &lt;- significances</span></div>
-<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span><span class="comment">            3. significances = vector(k, 1)</span></div>
-<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span><span class="comment">            4. Don’t move any classifiers out of models</span></div>
-<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span><span class="comment">            5. n_models &lt;- k</span></div>
-<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="comment">            6. Make prediction, compute alpha, update weights</span></div>
-<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span><span class="comment">            7. Don’t restore any classifiers to models</span></div>
-<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span><span class="comment">            8. significances &lt;- significances_bak</span></div>
-<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment">            9. Update last k significances</span></div>
-<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">            10. n_models &lt;- n_models_bak</span></div>
-<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment"></span> </div>
-<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span><span class="comment">            B, C, E) n &gt; 0, k &gt; 0, n_models == n + k</span></div>
-<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span><span class="comment">            1. n_models_bak &lt;- n_models</span></div>
-<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span><span class="comment">            2. significances_bak &lt;- significances</span></div>
-<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span><span class="comment">            3. significances = vector(k, 1)</span></div>
-<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span><span class="comment">            4. Move first n classifiers to models_bak</span></div>
-<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment">            5. n_models &lt;- k</span></div>
-<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="comment">            6. Make prediction, compute alpha, update weights</span></div>
-<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span><span class="comment">            7. Insert classifiers in models_bak to be the first n models</span></div>
-<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span><span class="comment">            8. significances &lt;- significances_bak</span></div>
-<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span><span class="comment">            9. Update last k significances</span></div>
-<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span><span class="comment">            10. n_models &lt;- n_models_bak</span></div>
-<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="comment">        */</span></div>
-<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        <span class="comment">// Make predict with only the last k models</span></div>
-<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        std::unique_ptr&lt;Classifier&gt; model;</div>
-<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        std::vector&lt;std::unique_ptr&lt;Classifier&gt;&gt; models_bak;</div>
-<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        <span class="comment">// 1. n_models_bak &lt;- n_models 2. significances_bak &lt;- significances</span></div>
-<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        <span class="keyword">auto</span> significance_bak = significanceModels;</div>
-<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>        <span class="keyword">auto</span> n_models_bak = n_models;</div>
-<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        <span class="comment">// 3. significances = vector(k, 1)</span></div>
-<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        significanceModels = std::vector&lt;double&gt;(k, 1.0);</div>
-<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <span class="comment">// 4. Move first n classifiers to models_bak</span></div>
-<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        <span class="comment">// backup the first n_models - k models (if n_models == k, don&#39;t backup any)</span></div>
-<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n_models - k; ++i) {</div>
-<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>            model = std::move(models[0]);</div>
-<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>            models.erase(models.begin());</div>
-<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>            models_bak.push_back(std::move(model));</div>
-<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        }</div>
-<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>        assert(models.size() == k);</div>
-<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        <span class="comment">// 5. n_models &lt;- k</span></div>
-<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>        n_models = k;</div>
-<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        <span class="comment">// 6. Make prediction, compute alpha, update weights</span></div>
-<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keyword">auto</span> ypred = predict(X_train);</div>
-<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>        <span class="comment">// Update weights</span></div>
-<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>        <span class="keywordtype">double</span> alpha_t;</div>
-<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>        <span class="keywordtype">bool</span> terminate;</div>
-<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>        std::tie(weights, alpha_t, terminate) = update_weights(y_train, ypred, weights);</div>
-<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <span class="comment">// Restore the models if needed</span></div>
-<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>        <span class="comment">// 7. Insert classifiers in models_bak to be the first n models</span></div>
-<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>        <span class="comment">// if n_models_bak == k, don&#39;t restore any, because none of them were moved</span></div>
-<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>        <span class="keywordflow">if</span> (k != n_models_bak) {</div>
-<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>            <span class="comment">// Insert in the same order as they were extracted</span></div>
-<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>            <span class="keywordtype">int</span> bak_size = models_bak.size();</div>
-<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; bak_size; ++i) {</div>
-<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>                model = std::move(models_bak[bak_size - 1 - i]);</div>
-<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>                models_bak.erase(models_bak.end() - 1);</div>
-<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>                models.insert(models.begin(), std::move(model));</div>
-<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>            }</div>
-<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        }</div>
-<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>        <span class="comment">// 8. significances &lt;- significances_bak</span></div>
-<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>        significanceModels = significance_bak;</div>
-<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>        <span class="comment">// Update the significance of the last k models</span></div>
-<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>        <span class="comment">// 9. Update last k significances</span></div>
-<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; k; ++i) {</div>
-<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>            significanceModels[n_models_bak - k + i] = alpha_t;</div>
-<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        }</div>
-<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        <span class="comment">// 10. n_models &lt;- n_models_bak</span></div>
-<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        n_models = n_models_bak;</div>
-<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="keywordflow">return</span> { weights, alpha_t, terminate };</div>
-<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>    }</div>
-<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Boost.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_boost_8h_source.html b/docs/manual/_boost_8h_source.html
deleted file mode 100644
index eb96a69..0000000
--- a/docs/manual/_boost_8h_source.html
+++ /dev/null
@@ -1,170 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Boost.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_boost_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Boost.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef BOOST_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define BOOST_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;tuple&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;nlohmann/json.hpp&gt;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/FeatureSelect.h&quot;</span></div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <span class="keyword">const</span> <span class="keyword">struct </span>{</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        std::string CFS = <span class="stringliteral">&quot;CFS&quot;</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::string FCBF = <span class="stringliteral">&quot;FCBF&quot;</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::string IWSS = <span class="stringliteral">&quot;IWSS&quot;</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    }SelectFeatures;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    <span class="keyword">const</span> <span class="keyword">struct </span>{</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::string ASC = <span class="stringliteral">&quot;asc&quot;</span>;</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        std::string DESC = <span class="stringliteral">&quot;desc&quot;</span>;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::string RAND = <span class="stringliteral">&quot;rand&quot;</span>;</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    }Orders;</div>
-<div class="foldopen" id="foldopen00027" data-start="{" data-end="};">
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost.html">   27</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">~Boost</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::vector&lt;int&gt; featureSelection(torch::Tensor&amp; weights_);</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        std::tuple&lt;torch::Tensor&amp;, double, bool&gt; update_weights(torch::Tensor&amp; ytrain, torch::Tensor&amp; ypred, torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        std::tuple&lt;torch::Tensor&amp;, double, bool&gt; update_weights_block(<span class="keywordtype">int</span> k, torch::Tensor&amp; ytrain, torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        torch::Tensor X_train, y_train, X_test, y_test;</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        <span class="comment">// Hyperparameters</span></div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keywordtype">bool</span> bisection = <span class="keyword">true</span>; <span class="comment">// if true, use bisection stratety to add k models at once to the ensemble</span></div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="keywordtype">int</span> maxTolerance = 3;</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        std::string order_algorithm; <span class="comment">// order to process the KBest features asc, desc, rand</span></div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keywordtype">bool</span> convergence = <span class="keyword">true</span>; <span class="comment">//if true, stop when the model does not improve</span></div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">bool</span> convergence_best = <span class="keyword">false</span>; <span class="comment">// wether to keep the best accuracy to the moment or the last accuracy as prior accuracy</span></div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="keywordtype">bool</span> selectFeatures = <span class="keyword">false</span>; <span class="comment">// if true, use feature selection</span></div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        std::string select_features_algorithm = Orders.DESC; <span class="comment">// Selected feature selection algorithm</span></div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        FeatureSelect* featureSelector = <span class="keyword">nullptr</span>;</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordtype">double</span> threshold = -1;</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="keywordtype">bool</span> block_update = <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span> </div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    };</div>
-</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>}</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="#l00027">Boost.h:27</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Boost.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_boost_a2_d_e_8cc_source.html b/docs/manual/_boost_a2_d_e_8cc_source.html
deleted file mode 100644
index 70825be..0000000
--- a/docs/manual/_boost_a2_d_e_8cc_source.html
+++ /dev/null
@@ -1,281 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostA2DE.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_boost_a2_d_e_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">BoostA2DE.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;set&gt;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;functional&gt;</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;limits.h&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;tuple&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;folding.hpp&gt;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/CFS.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/FCBF.h&quot;</span></div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="preprocessor">#include &quot;bayesnet/feature_selection/IWSS.h&quot;</span></div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="preprocessor">#include &quot;BoostA2DE.h&quot;</span></div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span> </div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span> </div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    BoostA2DE::BoostA2DE(<span class="keywordtype">bool</span> predict_voting) : Boost(predict_voting)</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    {</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    }</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    std::vector&lt;int&gt; BoostA2DE::initializeModels()</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    {</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::vector&lt;int&gt; featuresSelected = featureSelection(weights_);</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordflow">if</span> (featuresSelected.size() &lt; 2) {</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            notes.push_back(<span class="stringliteral">&quot;No features selected in initialization&quot;</span>);</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            status = ERROR;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>            <span class="keywordflow">return</span> std::vector&lt;int&gt;();</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        }</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; featuresSelected.size() - 1; i++) {</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = i + 1; j &lt; featuresSelected.size(); j++) {</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>                <span class="keyword">auto</span> parents = { featuresSelected[i], featuresSelected[j] };</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>                std::unique_ptr&lt;Classifier&gt; model = std::make_unique&lt;SPnDE&gt;(parents);</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>                model-&gt;fit(dataset, features, className, states, weights_);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>                models.push_back(std::move(model));</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>                significanceModels.push_back(1.0); <span class="comment">// They will be updated later in trainModel</span></div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>                n_models++;</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            }</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        }</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        notes.push_back(<span class="stringliteral">&quot;Used features in initialization: &quot;</span> + std::to_string(featuresSelected.size()) + <span class="stringliteral">&quot; of &quot;</span> + std::to_string(features.size()) + <span class="stringliteral">&quot; with &quot;</span> + select_features_algorithm);</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keywordflow">return</span> featuresSelected;</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    }</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    <span class="keywordtype">void</span> BoostA2DE::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    {</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="comment">// Logging setup</span></div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="comment">// loguru::set_thread_name(&quot;BoostA2DE&quot;);</span></div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="comment">// loguru::g_stderr_verbosity = loguru::Verbosity_OFF;</span></div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        <span class="comment">// loguru::add_file(&quot;boostA2DE.log&quot;, loguru::Truncate, loguru::Verbosity_MAX);</span></div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span> </div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="comment">// Algorithm based on the adaboost algorithm for classification</span></div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="comment">// as explained in Ensemble methods (Zhi-Hua Zhou, 2012)</span></div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        fitted = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        <span class="keywordtype">double</span> alpha_t = 0;</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="keywordtype">bool</span> finished = <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        std::vector&lt;int&gt; featuresUsed;</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="keywordflow">if</span> (selectFeatures) {</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            featuresUsed = initializeModels();</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            <span class="keyword">auto</span> ypred = predict(X_train);</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>            <span class="comment">// Update significance of the models</span></div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>                significanceModels[i] = alpha_t;</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>            }</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>            <span class="keywordflow">if</span> (finished) {</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>                <span class="keywordflow">return</span>;</div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>            }</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        }</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordtype">int</span> numItemsPack = 0; <span class="comment">// The counter of the models inserted in the current pack</span></div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="comment">// Variables to control the accuracy finish condition</span></div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        <span class="keywordtype">double</span> priorAccuracy = 0.0;</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        <span class="keywordtype">double</span> improvement = 1.0;</div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keywordtype">double</span> convergence_threshold = 1e-4;</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordtype">int</span> tolerance = 0; <span class="comment">// number of times the accuracy is lower than the convergence_threshold</span></div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        <span class="comment">// Step 0: Set the finish condition</span></div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="comment">// epsilon sub t &gt; 0.5 =&gt; inverse the weights policy</span></div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="comment">// validation error is not decreasing</span></div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="comment">// run out of features</span></div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keywordtype">bool</span> ascending = order_algorithm == Orders.ASC;</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        std::mt19937 g{ 173 };</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        std::vector&lt;std::pair&lt;int, int&gt;&gt; pairSelection;</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">while</span> (!finished) {</div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            <span class="comment">// Step 1: Build ranking with mutual information</span></div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            pairSelection = metrics.SelectKPairs(weights_, featuresUsed, ascending, 0); <span class="comment">// Get all the pairs sorted</span></div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keywordflow">if</span> (order_algorithm == Orders.RAND) {</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                std::shuffle(pairSelection.begin(), pairSelection.end(), g);</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            }</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            <span class="keywordtype">int</span> k = bisection ? pow(2, tolerance) : 1;</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>            <span class="keywordtype">int</span> counter = 0; <span class="comment">// The model counter of the current pack</span></div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;counter=%d k=%d featureSelection.size: %zu&quot;, counter, k, featureSelection.size());</span></div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            <span class="keywordflow">while</span> (counter++ &lt; k &amp;&amp; pairSelection.size() &gt; 0) {</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                <span class="keyword">auto</span> feature_pair = pairSelection[0];</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>                pairSelection.erase(pairSelection.begin());</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>                std::unique_ptr&lt;Classifier&gt; model;</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>                model = std::make_unique&lt;SPnDE&gt;(std::vector&lt;int&gt;({ feature_pair.first, feature_pair.second }));</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>                model-&gt;fit(dataset, features, className, states, weights_);</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>                alpha_t = 0.0;</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>                <span class="keywordflow">if</span> (!block_update) {</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>                    <span class="keyword">auto</span> ypred = model-&gt;predict(X_train);</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>                    <span class="comment">// Step 3.1: Compute the classifier amout of say</span></div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>                    std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>                }</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>                <span class="comment">// Step 3.4: Store classifier and its accuracy to weigh its future vote</span></div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>                numItemsPack++;</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>                models.push_back(std::move(model));</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>                significanceModels.push_back(alpha_t);</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>                n_models++;</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                <span class="comment">// VLOG_SCOPE_F(2, &quot;numItemsPack: %d n_models: %d featuresUsed: %zu&quot;, numItemsPack, n_models, featuresUsed.size());</span></div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            }</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            <span class="keywordflow">if</span> (block_update) {</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>            }</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>            <span class="keywordflow">if</span> (convergence &amp;&amp; !finished) {</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                <span class="keyword">auto</span> y_val_predict = predict(X_test);</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                <span class="keywordtype">double</span> accuracy = (y_val_predict == y_test).sum().item&lt;<span class="keywordtype">double</span>&gt;() / (<span class="keywordtype">double</span>)y_test.size(0);</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                <span class="keywordflow">if</span> (priorAccuracy == 0) {</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                    priorAccuracy = accuracy;</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>                    improvement = accuracy - priorAccuracy;</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>                }</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>                <span class="keywordflow">if</span> (improvement &lt; convergence_threshold) {</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;  (improvement&lt;threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>                    tolerance++;</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>                } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;* (improvement&gt;=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>                    tolerance = 0; <span class="comment">// Reset the counter if the model performs better</span></div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>                    numItemsPack = 0;</div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                }</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>                <span class="keywordflow">if</span> (convergence_best) {</div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>                    <span class="comment">// Keep the best accuracy until now as the prior accuracy</span></div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>                    priorAccuracy = std::max(accuracy, priorAccuracy);</div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>                } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>                    <span class="comment">// Keep the last accuray obtained as the prior accuracy</span></div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>                    priorAccuracy = accuracy;</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>                }</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>            }</div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;tolerance: %d featuresUsed.size: %zu features.size: %zu&quot;, tolerance, featuresUsed.size(), features.size());</span></div>
-<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>            finished = finished || tolerance &gt; maxTolerance || pairSelection.size() == 0;</div>
-<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        }</div>
-<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        <span class="keywordflow">if</span> (tolerance &gt; maxTolerance) {</div>
-<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="keywordflow">if</span> (numItemsPack &lt; n_models) {</div>
-<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; &quot;</span> + std::to_string(numItemsPack) + <span class="stringliteral">&quot; models eliminated&quot;</span>);</div>
-<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; %d models eliminated of %d&quot;, numItemsPack, n_models);</span></div>
-<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; numItemsPack; ++i) {</div>
-<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>                    significanceModels.pop_back();</div>
-<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>                    models.pop_back();</div>
-<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>                    n_models--;</div>
-<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>                }</div>
-<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>            } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; 0 models eliminated&quot;</span>);</div>
-<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; 0 models eliminated n_models=%d numItemsPack=%d&quot;, n_models, numItemsPack);</span></div>
-<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>            }</div>
-<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        }</div>
-<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <span class="keywordflow">if</span> (pairSelection.size() &gt; 0) {</div>
-<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>            notes.push_back(<span class="stringliteral">&quot;Pairs not used in train: &quot;</span> + std::to_string(pairSelection.size()));</div>
-<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>            status = WARNING;</div>
-<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        }</div>
-<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        notes.push_back(<span class="stringliteral">&quot;Number of models: &quot;</span> + std::to_string(n_models));</div>
-<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    }</div>
-<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    std::vector&lt;std::string&gt; BoostA2DE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
-<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>    }</div>
-<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostA2DE.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_boost_a2_d_e_8h_source.html b/docs/manual/_boost_a2_d_e_8h_source.html
deleted file mode 100644
index cf8b626..0000000
--- a/docs/manual/_boost_a2_d_e_8h_source.html
+++ /dev/null
@@ -1,143 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostA2DE.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_boost_a2_d_e_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">BoostA2DE.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef BOOSTA2DE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define BOOSTA2DE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPnDE.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;Boost.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00014" data-start="{" data-end="};">
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost_a2_d_e.html">   14</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a2_d_e.html">~BoostA2DE</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;BoostA2DE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::vector&lt;int&gt; initializeModels();</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    };</div>
-</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>}</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_boost_a2_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00014">BoostA2DE.h:14</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="_boost_8h_source.html#l00027">Boost.h:27</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostA2DE.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_boost_a_o_d_e_8cc_source.html b/docs/manual/_boost_a_o_d_e_8cc_source.html
deleted file mode 100644
index c22d8e9..0000000
--- a/docs/manual/_boost_a_o_d_e_8cc_source.html
+++ /dev/null
@@ -1,275 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostAODE.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_boost_a_o_d_e_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">BoostAODE.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;random&gt;</span> </div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;set&gt;</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;functional&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;limits.h&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;tuple&gt;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;BoostAODE.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span> </div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    BoostAODE::BoostAODE(<span class="keywordtype">bool</span> predict_voting) : Boost(predict_voting)</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    {</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    }</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    std::vector&lt;int&gt; BoostAODE::initializeModels()</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    {</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::vector&lt;int&gt; featuresSelected = featureSelection(weights_);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keywordtype">int</span>&amp; feature : featuresSelected) {</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            std::unique_ptr&lt;Classifier&gt; model = std::make_unique&lt;SPODE&gt;(feature);</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>            model-&gt;fit(dataset, features, className, states, weights_);</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            models.push_back(std::move(model));</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            significanceModels.push_back(1.0); <span class="comment">// They will be updated later in trainModel</span></div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            n_models++;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        }</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        notes.push_back(<span class="stringliteral">&quot;Used features in initialization: &quot;</span> + std::to_string(featuresSelected.size()) + <span class="stringliteral">&quot; of &quot;</span> + std::to_string(features.size()) + <span class="stringliteral">&quot; with &quot;</span> + select_features_algorithm);</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">return</span> featuresSelected;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    }</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    <span class="keywordtype">void</span> BoostAODE::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    {</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="comment">// Logging setup</span></div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="comment">//</span></div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        <span class="comment">// loguru::set_thread_name(&quot;BoostAODE&quot;);</span></div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="comment">// loguru::g_stderr_verbosity = loguru::Verbosity_OFF;</span></div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="comment">// loguru::add_file(&quot;boostAODE.log&quot;, loguru::Truncate, loguru::Verbosity_MAX);</span></div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span> </div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="comment">// Algorithm based on the adaboost algorithm for classification</span></div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="comment">// as explained in Ensemble methods (Zhi-Hua Zhou, 2012)</span></div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        fitted = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordtype">double</span> alpha_t = 0;</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordtype">bool</span> finished = <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::vector&lt;int&gt; featuresUsed;</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordflow">if</span> (selectFeatures) {</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>            featuresUsed = initializeModels();</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>            <span class="keyword">auto</span> ypred = predict(X_train);</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>            std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            <span class="comment">// Update significance of the models</span></div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>                significanceModels[i] = alpha_t;</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            }</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            <span class="keywordflow">if</span> (finished) {</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>                <span class="keywordflow">return</span>;</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>            }</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        }</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordtype">int</span> numItemsPack = 0; <span class="comment">// The counter of the models inserted in the current pack</span></div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        <span class="comment">// Variables to control the accuracy finish condition</span></div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="keywordtype">double</span> priorAccuracy = 0.0;</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="keywordtype">double</span> improvement = 1.0;</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordtype">double</span> convergence_threshold = 1e-4;</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="keywordtype">int</span> tolerance = 0; <span class="comment">// number of times the accuracy is lower than the convergence_threshold</span></div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>        <span class="comment">// Step 0: Set the finish condition</span></div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        <span class="comment">// epsilon sub t &gt; 0.5 =&gt; inverse the weights policy</span></div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="comment">// validation error is not decreasing</span></div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        <span class="comment">// run out of features</span></div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <span class="keywordtype">bool</span> ascending = order_algorithm == Orders.ASC;</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        std::mt19937 g{ 173 };</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="keywordflow">while</span> (!finished) {</div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>            <span class="comment">// Step 1: Build ranking with mutual information</span></div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>            <span class="keyword">auto</span> featureSelection = metrics.SelectKBestWeighted(weights_, ascending, n); <span class="comment">// Get all the features sorted</span></div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>            <span class="keywordflow">if</span> (order_algorithm == Orders.RAND) {</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>                std::shuffle(featureSelection.begin(), featureSelection.end(), g);</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>            }</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>            <span class="comment">// Remove used features</span></div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>            featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&amp;](<span class="keyword">auto</span> x)</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>                { <span class="keywordflow">return</span> std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>                end(featureSelection)</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>            );</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            <span class="keywordtype">int</span> k = bisection ? pow(2, tolerance) : 1;</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="keywordtype">int</span> counter = 0; <span class="comment">// The model counter of the current pack</span></div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;counter=%d k=%d featureSelection.size: %zu&quot;, counter, k, featureSelection.size());</span></div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keywordflow">while</span> (counter++ &lt; k &amp;&amp; featureSelection.size() &gt; 0) {</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                <span class="keyword">auto</span> feature = featureSelection[0];</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                featureSelection.erase(featureSelection.begin());</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>                std::unique_ptr&lt;Classifier&gt; model;</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>                model = std::make_unique&lt;SPODE&gt;(feature);</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                model-&gt;fit(dataset, features, className, states, weights_);</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>                alpha_t = 0.0;</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>                <span class="keywordflow">if</span> (!block_update) {</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                    <span class="keyword">auto</span> ypred = model-&gt;predict(X_train);</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>                    <span class="comment">// Step 3.1: Compute the classifier amout of say</span></div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>                    std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>                }</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>                <span class="comment">// Step 3.4: Store classifier and its accuracy to weigh its future vote</span></div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>                numItemsPack++;</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>                featuresUsed.push_back(feature);</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>                models.push_back(std::move(model));</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>                significanceModels.push_back(alpha_t);</div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>                n_models++;</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>                <span class="comment">// VLOG_SCOPE_F(2, &quot;numItemsPack: %d n_models: %d featuresUsed: %zu&quot;, numItemsPack, n_models, featuresUsed.size());</span></div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>            }</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>            <span class="keywordflow">if</span> (block_update) {</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>                std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            }</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="keywordflow">if</span> (convergence &amp;&amp; !finished) {</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                <span class="keyword">auto</span> y_val_predict = predict(X_test);</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                <span class="keywordtype">double</span> accuracy = (y_val_predict == y_test).sum().item&lt;<span class="keywordtype">double</span>&gt;() / (<span class="keywordtype">double</span>)y_test.size(0);</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>                <span class="keywordflow">if</span> (priorAccuracy == 0) {</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                    priorAccuracy = accuracy;</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                    improvement = accuracy - priorAccuracy;</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                }</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                <span class="keywordflow">if</span> (improvement &lt; convergence_threshold) {</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;  (improvement&lt;threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                    tolerance++;</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>                    <span class="comment">// VLOG_SCOPE_F(3, &quot;* (improvement&gt;=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>                    tolerance = 0; <span class="comment">// Reset the counter if the model performs better</span></div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>                    numItemsPack = 0;</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>                }</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>                <span class="keywordflow">if</span> (convergence_best) {</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>                    <span class="comment">// Keep the best accuracy until now as the prior accuracy</span></div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>                    priorAccuracy = std::max(accuracy, priorAccuracy);</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>                } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>                    <span class="comment">// Keep the last accuray obtained as the prior accuracy</span></div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                    priorAccuracy = accuracy;</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>                }</div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>            }</div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            <span class="comment">// VLOG_SCOPE_F(1, &quot;tolerance: %d featuresUsed.size: %zu features.size: %zu&quot;, tolerance, featuresUsed.size(), features.size());</span></div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>            finished = finished || tolerance &gt; maxTolerance || featuresUsed.size() == features.size();</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        }</div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">if</span> (tolerance &gt; maxTolerance) {</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            <span class="keywordflow">if</span> (numItemsPack &lt; n_models) {</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; &quot;</span> + std::to_string(numItemsPack) + <span class="stringliteral">&quot; models eliminated&quot;</span>);</div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; %d models eliminated of %d&quot;, numItemsPack, n_models);</span></div>
-<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; numItemsPack; ++i) {</div>
-<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>                    significanceModels.pop_back();</div>
-<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>                    models.pop_back();</div>
-<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>                    n_models--;</div>
-<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                }</div>
-<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            } <span class="keywordflow">else</span> {</div>
-<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>                notes.push_back(<span class="stringliteral">&quot;Convergence threshold reached &amp; 0 models eliminated&quot;</span>);</div>
-<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>                <span class="comment">// VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; 0 models eliminated n_models=%d numItemsPack=%d&quot;, n_models, numItemsPack);</span></div>
-<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>            }</div>
-<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        }</div>
-<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <span class="keywordflow">if</span> (featuresUsed.size() != features.size()) {</div>
-<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>            notes.push_back(<span class="stringliteral">&quot;Used features in train: &quot;</span> + std::to_string(featuresUsed.size()) + <span class="stringliteral">&quot; of &quot;</span> + std::to_string(features.size()));</div>
-<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>            status = WARNING;</div>
-<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        }</div>
-<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        notes.push_back(<span class="stringliteral">&quot;Number of models: &quot;</span> + std::to_string(n_models));</div>
-<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    }</div>
-<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    std::vector&lt;std::string&gt; BoostAODE::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        <span class="keywordflow">return</span> Ensemble::graph(title);</div>
-<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>    }</div>
-<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostAODE.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_boost_a_o_d_e_8h_source.html b/docs/manual/_boost_a_o_d_e_8h_source.html
deleted file mode 100644
index 7b04ec2..0000000
--- a/docs/manual/_boost_a_o_d_e_8h_source.html
+++ /dev/null
@@ -1,144 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/BoostAODE.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_boost_a_o_d_e_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">BoostAODE.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef BOOSTAODE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define BOOSTAODE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/classifiers/SPODE.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;Boost.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost_a_o_d_e.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> {</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost_a_o_d_e.html">~BoostAODE</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title = <span class="stringliteral">&quot;BoostAODE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::vector&lt;int&gt; initializeModels();</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    };</div>
-</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>}</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_boost_a_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">BoostAODE.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="_boost_8h_source.html#l00027">Boost.h:27</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>BoostAODE.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_classifier_8cc_source.html b/docs/manual/_classifier_8cc_source.html
deleted file mode 100644
index 7d8cd8c..0000000
--- a/docs/manual/_classifier_8cc_source.html
+++ /dev/null
@@ -1,308 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Classifier.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_classifier_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Classifier.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;sstream&gt;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    Classifier::Classifier(Network model) : model(model), m(0), n(0), metrics(Metrics()), fitted(false) {}</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">const</span> std::string CLASSIFIER_NOT_FITTED = <span class="stringliteral">&quot;Classifier has not been fitted&quot;</span>;</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    Classifier&amp; Classifier::build(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    {</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        this-&gt;features = features;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        this-&gt;className = className;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        this-&gt;states = states;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        m = dataset.size(1);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        n = features.size();</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        checkFitParameters();</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keyword">auto</span> n_classes = states.at(className).size();</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        metrics = Metrics(dataset, features, className, n_classes);</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        model.initialize();</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        buildModel(weights);</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        trainModel(weights);</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        fitted = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    }</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    <span class="keywordtype">void</span> Classifier::buildDataset(torch::Tensor&amp; ytmp)</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    {</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="keywordflow">try</span> {</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>            <span class="keyword">auto</span> yresized = torch::transpose(ytmp.view({ ytmp.size(0), 1 }), 0, 1);</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>            dataset = torch::cat({ dataset, yresized }, 0);</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        }</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception&amp; e) {</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>            std::stringstream oss;</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            oss &lt;&lt; <span class="stringliteral">&quot;* Error in X and y dimensions *\n&quot;</span>;</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            oss &lt;&lt; <span class="stringliteral">&quot;X dimensions: &quot;</span> &lt;&lt; dataset.sizes() &lt;&lt; <span class="stringliteral">&quot;\n&quot;</span>;</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>            oss &lt;&lt; <span class="stringliteral">&quot;y dimensions: &quot;</span> &lt;&lt; ytmp.sizes();</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>            <span class="keywordflow">throw</span> std::runtime_error(oss.str());</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        }</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    }</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    <span class="keywordtype">void</span> Classifier::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    {</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        model.fit(dataset, weights, features, className, states);</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    }</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>    <span class="comment">// X is nxm where n is the number of features and m the number of samples</span></div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>    Classifier&amp; Classifier::fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    {</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        dataset = X;</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        buildDataset(y);</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keyword">const</span> torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    }</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    <span class="comment">// X is nxm where n is the number of features and m the number of samples</span></div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>    Classifier&amp; Classifier::fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    {</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        dataset = torch::zeros({ <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(X.size()), <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(X[0].size()) }, torch::kInt32);</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; X.size(); ++i) {</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            dataset.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(X[i], torch::kInt32));</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        }</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="keyword">auto</span> ytmp = torch::tensor(y, torch::kInt32);</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        buildDataset(ytmp);</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keyword">const</span> torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    }</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    {</div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        this-&gt;dataset = dataset;</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <span class="keyword">const</span> torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    {</div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        this-&gt;dataset = dataset;</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordflow">return</span> build(features, className, states, weights);</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keywordtype">void</span> Classifier::checkFitParameters()</div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordflow">if</span> (torch::is_floating_point(dataset)) {</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;dataset (X, y) must be of type Integer&quot;</span>);</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        }</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordflow">if</span> (dataset.size(0) - 1 != features.size()) {</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Classifier: X &quot;</span> + std::to_string(dataset.size(0) - 1) + <span class="stringliteral">&quot; and features &quot;</span> + std::to_string(features.size()) + <span class="stringliteral">&quot; must have the same number of features&quot;</span>);</div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        }</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        <span class="keywordflow">if</span> (states.find(className) == states.end()) {</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;class name not found in states&quot;</span>);</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>        }</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : features) {</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            <span class="keywordflow">if</span> (states.find(feature) == states.end()) {</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;feature [&quot;</span> + feature + <span class="stringliteral">&quot;] not found in states&quot;</span>);</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            }</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        }</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    }</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    torch::Tensor Classifier::predict(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    {</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        }</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        <span class="keywordflow">return</span> model.predict(X);</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    }</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    std::vector&lt;int&gt; Classifier::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    {</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        }</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keyword">auto</span> m_ = X[0].size();</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        <span class="keyword">auto</span> n_ = X.size();</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>        std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_; i++) {</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            Xd[i] = std::vector&lt;int&gt;(X[i].begin(), X[i].end());</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        }</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>        <span class="keyword">auto</span> yp = model.predict(Xd);</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>        <span class="keywordflow">return</span> yp;</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>    }</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    torch::Tensor Classifier::predict_proba(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>    {</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        }</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keywordflow">return</span> model.predict_proba(X);</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    }</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Classifier::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    {</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        }</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keyword">auto</span> m_ = X[0].size();</div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keyword">auto</span> n_ = X.size();</div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        <span class="comment">// Convert to nxm vector</span></div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_; i++) {</div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            Xd[i] = std::vector&lt;int&gt;(X[i].begin(), X[i].end());</div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        }</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        <span class="keyword">auto</span> yp = model.predict_proba(Xd);</div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">return</span> yp;</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    <span class="keywordtype">float</span> Classifier::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    {</div>
-<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>        torch::Tensor y_pred = predict(X);</div>
-<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        <span class="keywordflow">return</span> (y_pred == y).sum().item&lt;<span class="keywordtype">float</span>&gt;() / y.size(0);</div>
-<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>    }</div>
-<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    <span class="keywordtype">float</span> Classifier::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</div>
-<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>    {</div>
-<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>            <span class="keywordflow">throw</span> std::logic_error(CLASSIFIER_NOT_FITTED);</div>
-<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        }</div>
-<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        <span class="keywordflow">return</span> model.score(X, y);</div>
-<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    }</div>
-<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    std::vector&lt;std::string&gt; Classifier::show()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <span class="keywordflow">return</span> model.show();</div>
-<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>    }</div>
-<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>    <span class="keywordtype">void</span> Classifier::addNodes()</div>
-<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    {</div>
-<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <span class="comment">// Add all nodes to the network</span></div>
-<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; feature : features) {</div>
-<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>            model.addNode(feature);</div>
-<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        }</div>
-<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        model.addNode(className);</div>
-<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    }</div>
-<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    <span class="keywordtype">int</span> Classifier::getNumberOfNodes()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <span class="comment">// Features does not include class</span></div>
-<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <span class="keywordflow">return</span> fitted ? model.getFeatures().size() : 0;</div>
-<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    }</div>
-<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    <span class="keywordtype">int</span> Classifier::getNumberOfEdges()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>        <span class="keywordflow">return</span> fitted ? model.getNumEdges() : 0;</div>
-<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>    }</div>
-<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>    <span class="keywordtype">int</span> Classifier::getNumberOfStates()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        <span class="keywordflow">return</span> fitted ? model.getStates() : 0;</div>
-<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    }</div>
-<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>    <span class="keywordtype">int</span> Classifier::getClassNumStates()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>        <span class="keywordflow">return</span> fitted ? model.getClassNumStates() : 0;</div>
-<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>    }</div>
-<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>    std::vector&lt;std::string&gt; Classifier::topological_order()</div>
-<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>    {</div>
-<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="keywordflow">return</span> model.topological_sort();</div>
-<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    }</div>
-<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>    std::string Classifier::dump_cpt()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        <span class="keywordflow">return</span> model.dump_cpt();</div>
-<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>    }</div>
-<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>    <span class="keywordtype">void</span> Classifier::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters)</div>
-<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    {</div>
-<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>        <span class="keywordflow">if</span> (!hyperparameters.empty()) {</div>
-<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Invalid hyperparameters&quot;</span> + hyperparameters.dump());</div>
-<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        }</div>
-<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>    }</div>
-<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Classifier.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_classifier_8h_source.html b/docs/manual/_classifier_8h_source.html
deleted file mode 100644
index 5b39713..0000000
--- a/docs/manual/_classifier_8h_source.html
+++ /dev/null
@@ -1,184 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Classifier.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_classifier_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Classifier.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef CLASSIFIER_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define CLASSIFIER_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/utils/BayesMetrics.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/network/Network.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;bayesnet/BaseClassifier.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_classifier.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> {</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>(<a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a> model);</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">~Classifier</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">void</span> addNodes();</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordtype">int</span> getNumberOfNodes() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordtype">int</span> getNumberOfEdges() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">int</span> getNumberOfStates() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getClassNumStates() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        torch::Tensor predict_proba(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        status_t getStatus()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> status; }</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::string getVersion()<span class="keyword"> override </span>{ <span class="keywordflow">return</span> { project_version.begin(), project_version.end() }; };</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordtype">float</span> score(torch::Tensor&amp; X, torch::Tensor&amp; y) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordtype">float</span> score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        std::vector&lt;std::string&gt; show() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        std::vector&lt;std::string&gt; topological_order()  <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::vector&lt;std::string&gt; getNotes()<span class="keyword"> const override </span>{ <span class="keywordflow">return</span> notes; }</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        std::string dump_cpt() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters) <span class="keyword">override</span>; <span class="comment">//For classifiers that don&#39;t have hyperparameters</span></div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        <span class="keywordtype">bool</span> fitted;</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m, n; <span class="comment">// m: number of samples, n: number of features</span></div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a> model;</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        Metrics metrics;</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        std::vector&lt;std::string&gt; features;</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        std::string className;</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::map&lt;std::string, std::vector&lt;int&gt;&gt; states;</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        torch::Tensor dataset; <span class="comment">// (n+1)xm tensor</span></div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        status_t status = NORMAL;</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        std::vector&lt;std::string&gt; notes; <span class="comment">// Used to store messages occurred during the fit process</span></div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keywordtype">void</span> checkFitParameters();</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keyword">virtual</span> <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) = 0;</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        <span class="keywordtype">void</span> buildDataset(torch::Tensor&amp; y);</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a>&amp; build(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    };</div>
-</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>}</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="preprocessor">#endif</span></div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span> </div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span> </div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span> </div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span> </div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span> </div>
-<div class="ttc" id="aclassbayesnet_1_1_base_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></div><div class="ttdef"><b>Definition</b> <a href="_base_classifier_8h_source.html#l00013">BaseClassifier.h:13</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">Classifier.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_network_html"><div class="ttname"><a href="classbayesnet_1_1_network.html">bayesnet::Network</a></div><div class="ttdef"><b>Definition</b> <a href="_network_8h_source.html#l00015">Network.h:15</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Classifier.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_ensemble_8cc_source.html b/docs/manual/_ensemble_8cc_source.html
deleted file mode 100644
index 7cffac3..0000000
--- a/docs/manual/_ensemble_8cc_source.html
+++ /dev/null
@@ -1,336 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Ensemble.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_ensemble_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Ensemble.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;Ensemble.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    Ensemble::Ensemble(<span class="keywordtype">bool</span> predict_voting) : Classifier(Network()), n_models(0), predict_voting(predict_voting)</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    };</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">const</span> std::string ENSEMBLE_NOT_FITTED = <span class="stringliteral">&quot;Ensemble has not been fitted&quot;</span>;</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keywordtype">void</span> Ensemble::trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    {</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        n_models = models.size();</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            <span class="comment">// fit with std::vectors</span></div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            models[i]-&gt;fit(dataset, features, className, states);</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        }</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    }</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    std::vector&lt;int&gt; Ensemble::compute_arg_max(std::vector&lt;std::vector&lt;double&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    {</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        std::vector&lt;int&gt; y_pred;</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; X.size(); ++i) {</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>            <span class="keyword">auto</span> max = std::max_element(X[i].begin(), X[i].end());</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>            y_pred.push_back(std::distance(X[i].begin(), max));</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        }</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordflow">return</span> y_pred;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    }</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    torch::Tensor Ensemble::compute_arg_max(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    {</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keyword">auto</span> y_pred = torch::argmax(X, 1);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordflow">return</span> y_pred;</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    }</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    torch::Tensor Ensemble::voting(torch::Tensor&amp; votes)</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    {</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="comment">// Convert m x n_models tensor to a m x n_class_states with voting probabilities</span></div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        <span class="keyword">auto</span> y_pred_ = votes.accessor&lt;int, 2&gt;();</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        std::vector&lt;int&gt; y_pred_final;</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">int</span> numClasses = states.at(className).size();</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="comment">// votes is m x n_models with the prediction of every model for each sample</span></div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keyword">auto</span> result = torch::zeros({ votes.size(0), numClasses }, torch::kFloat32);</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        <span class="keyword">auto</span> sum = std::reduce(significanceModels.begin(), significanceModels.end());</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; votes.size(0); ++i) {</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>            <span class="comment">// n_votes store in each index (value of class) the significance added by each model</span></div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            <span class="comment">// i.e. n_votes[0] contains how much value has the value 0 of class. That value is generated by the models predictions</span></div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>            std::vector&lt;double&gt; n_votes(numClasses, 0.0);</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n_models; ++j) {</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>                n_votes[y_pred_[i][j]] += significanceModels.at(j);</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>            }</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>            result[i] = torch::tensor(n_votes);</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        }</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        <span class="comment">// To only do one division and gain precision</span></div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        result /= sum;</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    }</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>    {</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            <span class="keywordflow">throw</span> std::logic_error(ENSEMBLE_NOT_FITTED);</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        }</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordflow">return</span> predict_voting ? predict_average_voting(X) : predict_average_proba(X);</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    }</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    torch::Tensor Ensemble::predict_proba(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    {</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>            <span class="keywordflow">throw</span> std::logic_error(ENSEMBLE_NOT_FITTED);</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        }</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <span class="keywordflow">return</span> predict_voting ? predict_average_voting(X) : predict_average_proba(X);</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    std::vector&lt;int&gt; Ensemble::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    {</div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keyword">auto</span> res = predict_proba(X);</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordflow">return</span> compute_arg_max(res);</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    torch::Tensor Ensemble::predict(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keyword">auto</span> res = predict_proba(X);</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keywordflow">return</span> compute_arg_max(res);</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>    }</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>    torch::Tensor Ensemble::predict_average_proba(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    {</div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <span class="keyword">auto</span> n_states = models[0]-&gt;getClassNumStates();</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>        torch::Tensor y_pred = torch::zeros({ X.size(1), n_states }, torch::kFloat32);</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <span class="keyword">auto</span> threads{ std::vector&lt;std::thread&gt;() };</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>        std::mutex mtx;</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            threads.push_back(std::thread([&amp;, i]() {</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                <span class="keyword">auto</span> ypredict = models[i]-&gt;predict_proba(X);</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>                y_pred += ypredict * significanceModels[i];</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                }));</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        }</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            thread.join();</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        }</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <span class="keyword">auto</span> sum = std::reduce(significanceModels.begin(), significanceModels.end());</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        y_pred /= sum;</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keywordflow">return</span> y_pred;</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    }</div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    {</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keyword">auto</span> n_states = models[0]-&gt;getClassNumStates();</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        std::vector&lt;std::vector&lt;double&gt;&gt; y_pred(X[0].size(), std::vector&lt;double&gt;(n_states, 0.0));</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keyword">auto</span> threads{ std::vector&lt;std::thread&gt;() };</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        std::mutex mtx;</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>            threads.push_back(std::thread([&amp;, i]() {</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                <span class="keyword">auto</span> ypredict = models[i]-&gt;predict_proba(X);</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>                assert(ypredict.size() == y_pred.size());</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                assert(ypredict[0].size() == y_pred[0].size());</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                <span class="comment">// Multiply each prediction by the significance of the model and then add it to the final prediction</span></div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>                <span class="keywordflow">for</span> (<span class="keyword">auto</span> j = 0; j &lt; ypredict.size(); ++j) {</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>                    std::transform(y_pred[j].begin(), y_pred[j].end(), ypredict[j].begin(), y_pred[j].begin(),</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>                        [significanceModels = significanceModels[i]](<span class="keywordtype">double</span> x, <span class="keywordtype">double</span> y) { <span class="keywordflow">return</span> x + y * significanceModels; });</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>                }</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                }));</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        }</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>            thread.join();</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        }</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keyword">auto</span> sum = std::reduce(significanceModels.begin(), significanceModels.end());</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="comment">//Divide each element of the prediction by the sum of the significances</span></div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> j = 0; j &lt; y_pred.size(); ++j) {</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>            std::transform(y_pred[j].begin(), y_pred[j].end(), y_pred[j].begin(), [sum](<span class="keywordtype">double</span> x) { <span class="keywordflow">return</span> x / sum; });</div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        }</div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordflow">return</span> y_pred;</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>    }</div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_average_voting(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>    {</div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        torch::Tensor Xt = bayesnet::vectorToTensor(X, <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        <span class="keyword">auto</span> y_pred = predict_average_voting(Xt);</div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        std::vector&lt;std::vector&lt;double&gt;&gt; result = tensorToVectorDouble(y_pred);</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    }</div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    torch::Tensor Ensemble::predict_average_voting(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    {</div>
-<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        <span class="comment">// Build a m x n_models tensor with the predictions of each model</span></div>
-<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        torch::Tensor y_pred = torch::zeros({ X.size(1), n_models }, torch::kInt32);</div>
-<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>        <span class="keyword">auto</span> threads{ std::vector&lt;std::thread&gt;() };</div>
-<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        std::mutex mtx;</div>
-<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>            threads.push_back(std::thread([&amp;, i]() {</div>
-<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>                <span class="keyword">auto</span> ypredict = models[i]-&gt;predict(X);</div>
-<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
-<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>                y_pred.index_put_({ <span class="stringliteral">&quot;...&quot;</span>, i }, ypredict);</div>
-<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>                }));</div>
-<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        }</div>
-<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
-<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>            thread.join();</div>
-<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        }</div>
-<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <span class="keywordflow">return</span> voting(y_pred);</div>
-<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    }</div>
-<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>    <span class="keywordtype">float</span> Ensemble::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</div>
-<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    {</div>
-<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        <span class="keyword">auto</span> y_pred = predict(X);</div>
-<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        <span class="keywordtype">int</span> correct = 0;</div>
-<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; y_pred.size(0); ++i) {</div>
-<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>            <span class="keywordflow">if</span> (y_pred[i].item&lt;int&gt;() == y[i].item&lt;int&gt;()) {</div>
-<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>                correct++;</div>
-<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>            }</div>
-<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        }</div>
-<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        <span class="keywordflow">return</span> (<span class="keywordtype">double</span>)correct / y_pred.size(0);</div>
-<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    }</div>
-<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>    <span class="keywordtype">float</span> Ensemble::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</div>
-<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>    {</div>
-<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        <span class="keyword">auto</span> y_pred = predict(X);</div>
-<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        <span class="keywordtype">int</span> correct = 0;</div>
-<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; y_pred.size(); ++i) {</div>
-<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>            <span class="keywordflow">if</span> (y_pred[i] == y[i]) {</div>
-<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>                correct++;</div>
-<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>            }</div>
-<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>        }</div>
-<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>        <span class="keywordflow">return</span> (<span class="keywordtype">double</span>)correct / y_pred.size();</div>
-<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>    }</div>
-<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>    std::vector&lt;std::string&gt; Ensemble::show()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="keyword">auto</span> result = std::vector&lt;std::string&gt;();</div>
-<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>            <span class="keyword">auto</span> res = models[i]-&gt;show();</div>
-<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>            result.insert(result.end(), res.begin(), res.end());</div>
-<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        }</div>
-<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>    }</div>
-<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    std::vector&lt;std::string&gt; Ensemble::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="keyword">auto</span> result = std::vector&lt;std::string&gt;();</div>
-<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>            <span class="keyword">auto</span> res = models[i]-&gt;graph(title + <span class="stringliteral">&quot;_&quot;</span> + std::to_string(i));</div>
-<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>            result.insert(result.end(), res.begin(), res.end());</div>
-<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        }</div>
-<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>    }</div>
-<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    <span class="keywordtype">int</span> Ensemble::getNumberOfNodes()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <span class="keywordtype">int</span> nodes = 0;</div>
-<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>            nodes += models[i]-&gt;getNumberOfNodes();</div>
-<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        }</div>
-<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        <span class="keywordflow">return</span> nodes;</div>
-<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    }</div>
-<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>    <span class="keywordtype">int</span> Ensemble::getNumberOfEdges()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>        <span class="keywordtype">int</span> edges = 0;</div>
-<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>            edges += models[i]-&gt;getNumberOfEdges();</div>
-<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        }</div>
-<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keywordflow">return</span> edges;</div>
-<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>    }</div>
-<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>    <span class="keywordtype">int</span> Ensemble::getNumberOfStates()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>        <span class="keywordtype">int</span> nstates = 0;</div>
-<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; n_models; ++i) {</div>
-<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>            nstates += models[i]-&gt;getNumberOfStates();</div>
-<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        }</div>
-<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <span class="keywordflow">return</span> nstates;</div>
-<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>    }</div>
-<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Ensemble.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_ensemble_8h_source.html b/docs/manual/_ensemble_8h_source.html
deleted file mode 100644
index 716f7f8..0000000
--- a/docs/manual/_ensemble_8h_source.html
+++ /dev/null
@@ -1,171 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/Ensemble.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_ensemble_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Ensemble.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef ENSEMBLE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define ENSEMBLE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/utils/BayesMetrics.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;bayesnet/classifiers/Classifier.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_ensemble.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">true</span>);</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">~Ensemble</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor predict_proba(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">float</span> score(torch::Tensor&amp; X, torch::Tensor&amp; y) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordtype">float</span> score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordtype">int</span> getNumberOfNodes() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">int</span> getNumberOfEdges() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getNumberOfStates() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        std::vector&lt;std::string&gt; show() <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        std::vector&lt;std::string&gt; topological_order()<span class="keyword">  override</span></div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="keyword">        </span>{</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            <span class="keywordflow">return</span> std::vector&lt;std::string&gt;();</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        }</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        std::string dump_cpt()<span class="keyword"> const override</span></div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="keyword">        </span>{</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>            <span class="keywordflow">return</span> <span class="stringliteral">&quot;&quot;</span>;</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        }</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        torch::Tensor predict_average_voting(torch::Tensor&amp; X);</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_average_voting(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X);</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        torch::Tensor predict_average_proba(torch::Tensor&amp; X);</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_average_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X);</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        torch::Tensor compute_arg_max(torch::Tensor&amp; X);</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        std::vector&lt;int&gt; compute_arg_max(std::vector&lt;std::vector&lt;double&gt;&gt;&amp; X);</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        torch::Tensor voting(torch::Tensor&amp; votes);</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        <span class="keywordtype">unsigned</span> n_models;</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        std::vector&lt;std::unique_ptr&lt;Classifier&gt;&gt; models;</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::vector&lt;double&gt; significanceModels;</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordtype">void</span> trainModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="keywordtype">bool</span> predict_voting;</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    };</div>
-</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>}</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">Ensemble.h:15</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Ensemble.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_k_d_b_8cc_source.html b/docs/manual/_k_d_b_8cc_source.html
deleted file mode 100644
index 0bf9c42..0000000
--- a/docs/manual/_k_d_b_8cc_source.html
+++ /dev/null
@@ -1,225 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDB.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_k_d_b_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">KDB.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;KDB.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    KDB::KDB(<span class="keywordtype">int</span> k, <span class="keywordtype">float</span> theta) : Classifier(Network()), k(k), theta(theta)</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        validHyperparameters = { <span class="stringliteral">&quot;k&quot;</span>, <span class="stringliteral">&quot;theta&quot;</span> };</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    }</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keywordtype">void</span> KDB::setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_)</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    {</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">auto</span> hyperparameters = hyperparameters_;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;k&quot;</span>)) {</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            k = hyperparameters[<span class="stringliteral">&quot;k&quot;</span>];</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            hyperparameters.erase(<span class="stringliteral">&quot;k&quot;</span>);</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        }</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordflow">if</span> (hyperparameters.contains(<span class="stringliteral">&quot;theta&quot;</span>)) {</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            theta = hyperparameters[<span class="stringliteral">&quot;theta&quot;</span>];</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            hyperparameters.erase(<span class="stringliteral">&quot;theta&quot;</span>);</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        }</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        Classifier::setHyperparameters(hyperparameters);</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    }</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    <span class="keywordtype">void</span> KDB::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    {</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="comment">/*</span></div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment">        1. For each feature Xi, compute mutual information, I(X;C),</span></div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment">        where C is the class.</span></div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">        2. Compute class conditional mutual information I(Xi;XjIC), f or each</span></div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment">        pair of features Xi and Xj, where i#j.</span></div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment">        3. Let the used variable list, S, be empty.</span></div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment">        4. Let the DAG network being constructed, BN, begin with a single</span></div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment">        class node, C.</span></div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment">        5. Repeat until S includes all domain features</span></div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="comment">        5.1. Select feature Xmax which is not in S and has the largest value</span></div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="comment">        I(Xmax;C).</span></div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment">        5.2. Add a node to BN representing Xmax.</span></div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment">        5.3. Add an arc from C to Xmax in BN.</span></div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment">        5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span></div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">        the highest value for I(Xmax;X,jC).</span></div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">        5.5. Add Xmax to S.</span></div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">        Compute the conditional probabilility infered by the structure of BN by</span></div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">        using counts from DB, and output BN.</span></div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">        */</span></div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="comment">// 1. For each feature Xi, compute mutual information, I(X;C),</span></div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        <span class="comment">// where C is the class.</span></div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        addNodes();</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keyword">const</span> torch::Tensor&amp; y = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        std::vector&lt;double&gt; mi;</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; features.size(); i++) {</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            torch::Tensor firstFeature = dataset.index({ i, <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            mi.push_back(metrics.mutualInformation(firstFeature, y, weights));</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        }</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="comment">// 2. Compute class conditional mutual information I(Xi;XjIC), f or each</span></div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        <span class="keyword">auto</span> conditionalEdgeWeights = metrics.conditionalEdge(weights);</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        <span class="comment">// 3. Let the used variable list, S, be empty.</span></div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        std::vector&lt;int&gt; S;</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        <span class="comment">// 4. Let the DAG network being constructed, BN, begin with a single</span></div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="comment">// class node, C.</span></div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="comment">// 5. Repeat until S includes all domain features</span></div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="comment">// 5.1. Select feature Xmax which is not in S and has the largest value</span></div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="comment">// I(Xmax;C).</span></div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>        <span class="keyword">auto</span> order = argsort(mi);</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> idx : order) {</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>            <span class="comment">// 5.2. Add a node to BN representing Xmax.</span></div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>            <span class="comment">// 5.3. Add an arc from C to Xmax in BN.</span></div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>            model.addEdge(className, features[idx]);</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>            <span class="comment">// 5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span></div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>            <span class="comment">// the highest value for I(Xmax;X,jC).</span></div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>            add_m_edges(idx, S, conditionalEdgeWeights);</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>            <span class="comment">// 5.5. Add Xmax to S.</span></div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>            S.push_back(idx);</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        }</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keywordtype">void</span> KDB::add_m_edges(<span class="keywordtype">int</span> idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keyword">auto</span> n_edges = std::min(k, <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(S.size()));</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        <span class="keyword">auto</span> cond_w = clone(weights);</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        <span class="keywordtype">bool</span> exit_cond = k == 0;</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordtype">int</span> num = 0;</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">while</span> (!exit_cond) {</div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            <span class="keyword">auto</span> max_minfo = argmax(cond_w.index({ idx, <span class="stringliteral">&quot;...&quot;</span> })).item&lt;<span class="keywordtype">int</span>&gt;();</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keyword">auto</span> belongs = find(S.begin(), S.end(), max_minfo) != S.end();</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keywordflow">if</span> (belongs &amp;&amp; cond_w.index({ idx, max_minfo }).item&lt;<span class="keywordtype">float</span>&gt;() &gt; theta) {</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                <span class="keywordflow">try</span> {</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>                    model.addEdge(features[max_minfo], features[idx]);</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>                    num++;</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>                }</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>                <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::invalid_argument&amp; e) {</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>                    <span class="comment">// Loops are not allowed</span></div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                }</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>            }</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>            cond_w.index_put_({ idx, max_minfo }, -1);</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            <span class="keyword">auto</span> candidates_mask = cond_w.index({ idx, <span class="stringliteral">&quot;...&quot;</span> }).gt(theta);</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>            <span class="keyword">auto</span> candidates = candidates_mask.nonzero();</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>            exit_cond = num == n_edges || candidates.size(0) == 0;</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        }</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    }</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    std::vector&lt;std::string&gt; KDB::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        std::string header{ title };</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keywordflow">if</span> (title == <span class="stringliteral">&quot;KDB&quot;</span>) {</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>            header += <span class="stringliteral">&quot; (k=&quot;</span> + std::to_string(k) + <span class="stringliteral">&quot;, theta=&quot;</span> + std::to_string(theta) + <span class="stringliteral">&quot;)&quot;</span>;</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        }</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        <span class="keywordflow">return</span> model.graph(header);</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>    }</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDB.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_k_d_b_8h_source.html b/docs/manual/_k_d_b_8h_source.html
deleted file mode 100644
index 57a4623..0000000
--- a/docs/manual/_k_d_b_8h_source.html
+++ /dev/null
@@ -1,145 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDB.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_k_d_b_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">KDB.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef KDB_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define KDB_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_k_d_b.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">KDB</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keywordtype">int</span> k;</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">float</span> theta;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keywordtype">void</span> add_m_edges(<span class="keywordtype">int</span> idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">KDB</a>(<span class="keywordtype">int</span> k, <span class="keywordtype">float</span> theta = 0.03);</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">~KDB</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json&amp; hyperparameters_) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;KDB&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    };</div>
-</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>}</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_k_d_b_html"><div class="ttname"><a href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">KDB.h:13</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDB.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_k_d_b_ld_8cc_source.html b/docs/manual/_k_d_b_ld_8cc_source.html
deleted file mode 100644
index 4ee98ea..0000000
--- a/docs/manual/_k_d_b_ld_8cc_source.html
+++ /dev/null
@@ -1,149 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDBLd.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_k_d_b_ld_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">KDBLd.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;KDBLd.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    KDBLd::KDBLd(<span class="keywordtype">int</span> k) : KDB(k), Proposal(dataset, features, className) {}</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    KDBLd&amp; KDBLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        checkInput(X_, y_);</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        features = features_;</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        className = className_;</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        Xf = X_;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        y = y_;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        states = fit_local_discretization(y);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="comment">// We have discretized the input data</span></div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="comment">// 1st we need to fit the model to build the normal KDB structure, KDB::fit initializes the base Bayesian network</span></div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        KDB::fit(dataset, features, className, states);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        states = localDiscretizationProposal(states, model);</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    }</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    torch::Tensor KDBLd::predict(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    {</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keyword">auto</span> Xt = prepareX(X);</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordflow">return</span> KDB::predict(Xt);</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    }</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    std::vector&lt;std::string&gt; KDBLd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        <span class="keywordflow">return</span> KDB::graph(name);</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    }</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDBLd.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_k_d_b_ld_8h_source.html b/docs/manual/_k_d_b_ld_8h_source.html
deleted file mode 100644
index 3c26e26..0000000
--- a/docs/manual/_k_d_b_ld_8h_source.html
+++ /dev/null
@@ -1,143 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/KDBLd.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_k_d_b_ld_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">KDBLd.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef KDBLD_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define KDBLD_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;KDB.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_k_d_b_ld.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b.html">KDB</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a>(<span class="keywordtype">int</span> k);</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">~KDBLd</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;KDB&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">static</span> <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span> <span class="stringliteral">&quot;0.0.1&quot;</span>; };</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    };</div>
-</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>}</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="preprocessor">#endif </span><span class="comment">// !KDBLD_H</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_k_d_b_html"><div class="ttname"><a href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></div><div class="ttdef"><b>Definition</b> <a href="_k_d_b_8h_source.html#l00013">KDB.h:13</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_k_d_b_ld_html"><div class="ttname"><a href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">KDBLd.h:13</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>KDBLd.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_network_8cc_source.html b/docs/manual/_network_8cc_source.html
deleted file mode 100644
index 2f277c8..0000000
--- a/docs/manual/_network_8cc_source.html
+++ /dev/null
@@ -1,543 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Network.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_network_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Network.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;thread&gt;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;mutex&gt;</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;sstream&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Network.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    Network::Network() : fitted{ false }, maxThreads{ 0.95 }, classNumStates{ 0 }, laplaceSmoothing{ 0 }</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    }</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    Network::Network(<span class="keywordtype">float</span> maxT) : fitted{ false }, maxThreads{ maxT }, classNumStates{ 0 }, laplaceSmoothing{ 0 }</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    {</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span> </div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    }</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    Network::Network(<span class="keyword">const</span> Network&amp; other) : laplaceSmoothing(other.laplaceSmoothing), features(other.features), className(other.className), classNumStates(other.getClassNumStates()),</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        maxThreads(other.getMaxThreads()), fitted(other.fitted), samples(other.samples)</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    {</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordflow">if</span> (samples.defined())</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>            samples = samples.clone();</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; node : other.nodes) {</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            nodes[node.first] = std::make_unique&lt;Node&gt;(*node.second);</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        }</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    }</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    <span class="keywordtype">void</span> Network::initialize()</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    {</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        features.clear();</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        className = <span class="stringliteral">&quot;&quot;</span>;</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        classNumStates = 0;</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        fitted = <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        nodes.clear();</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        samples = torch::Tensor();</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    }</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    <span class="keywordtype">float</span> Network::getMaxThreads()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        <span class="keywordflow">return</span> maxThreads;</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    }</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    torch::Tensor&amp; Network::getSamples()</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    {</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="keywordflow">return</span> samples;</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    }</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    <span class="keywordtype">void</span> Network::addNode(<span class="keyword">const</span> std::string&amp; name)</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    {</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="keywordflow">if</span> (name == <span class="stringliteral">&quot;&quot;</span>) {</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Node name cannot be empty&quot;</span>);</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>        }</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        <span class="keywordflow">if</span> (nodes.find(name) != nodes.end()) {</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>            <span class="keywordflow">return</span>;</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        }</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordflow">if</span> (find(features.begin(), features.end(), name) == features.end()) {</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            features.push_back(name);</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        }</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        nodes[name] = std::make_unique&lt;Node&gt;(name);</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    }</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    std::vector&lt;std::string&gt; Network::getFeatures()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordflow">return</span> features;</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    }</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    <span class="keywordtype">int</span> Network::getClassNumStates()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordflow">return</span> classNumStates;</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    }</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    <span class="keywordtype">int</span> Network::getStates()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>        <span class="keywordtype">int</span> result = 0;</div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>            result += node.second-&gt;getNumStates();</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        }</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    }</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    std::string Network::getClassName()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>        <span class="keywordflow">return</span> className;</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    }</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="keywordtype">bool</span> Network::isCyclic(<span class="keyword">const</span> std::string&amp; nodeId, std::unordered_set&lt;std::string&gt;&amp; visited, std::unordered_set&lt;std::string&gt;&amp; recStack)</div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    {</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordflow">if</span> (visited.find(nodeId) == visited.end()) <span class="comment">// if node hasn&#39;t been visited yet</span></div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        {</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>            visited.insert(nodeId);</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>            recStack.insert(nodeId);</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>            <span class="keywordflow">for</span> (Node* child : nodes[nodeId]-&gt;getChildren()) {</div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>                <span class="keywordflow">if</span> (visited.find(child-&gt;getName()) == visited.end() &amp;&amp; isCyclic(child-&gt;getName(), visited, recStack))</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>                    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                <span class="keywordflow">if</span> (recStack.find(child-&gt;getName()) != recStack.end())</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>                    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            }</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        }</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>        recStack.erase(nodeId); <span class="comment">// remove node from recursion stack before function ends</span></div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    }</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    <span class="keywordtype">void</span> Network::addEdge(<span class="keyword">const</span> std::string&amp; parent, <span class="keyword">const</span> std::string&amp; child)</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    {</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordflow">if</span> (nodes.find(parent) == nodes.end()) {</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Parent node &quot;</span> + parent + <span class="stringliteral">&quot; does not exist&quot;</span>);</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        }</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <span class="keywordflow">if</span> (nodes.find(child) == nodes.end()) {</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Child node &quot;</span> + child + <span class="stringliteral">&quot; does not exist&quot;</span>);</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        }</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <span class="comment">// Temporarily add edge to check for cycles</span></div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        nodes[parent]-&gt;addChild(nodes[child].get());</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        nodes[child]-&gt;addParent(nodes[parent].get());</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        std::unordered_set&lt;std::string&gt; visited;</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        std::unordered_set&lt;std::string&gt; recStack;</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keywordflow">if</span> (isCyclic(nodes[child]-&gt;getName(), visited, recStack)) <span class="comment">// if adding this edge forms a cycle</span></div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        {</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="comment">// remove problematic edge</span></div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>            nodes[parent]-&gt;removeChild(nodes[child].get());</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            nodes[child]-&gt;removeParent(nodes[parent].get());</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Adding this edge forms a cycle in the graph.&quot;</span>);</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>        }</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    }</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>    std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt;&amp; Network::getNodes()</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    {</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        <span class="keywordflow">return</span> nodes;</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>    }</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>    <span class="keywordtype">void</span> Network::checkFitData(<span class="keywordtype">int</span> n_samples, <span class="keywordtype">int</span> n_features, <span class="keywordtype">int</span> n_samples_y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>    {</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        <span class="keywordflow">if</span> (weights.size(0) != n_samples) {</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Weights (&quot;</span> + std::to_string(weights.size(0)) + <span class="stringliteral">&quot;) must have the same number of elements as samples (&quot;</span> + std::to_string(n_samples) + <span class="stringliteral">&quot;) in Network::fit&quot;</span>);</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>        }</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        <span class="keywordflow">if</span> (n_samples != n_samples_y) {</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X and y must have the same number of samples in Network::fit (&quot;</span> + std::to_string(n_samples) + <span class="stringliteral">&quot; != &quot;</span> + std::to_string(n_samples_y) + <span class="stringliteral">&quot;)&quot;</span>);</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        }</div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        <span class="keywordflow">if</span> (n_features != featureNames.size()) {</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X and features must have the same number of features in Network::fit (&quot;</span> + std::to_string(n_features) + <span class="stringliteral">&quot; != &quot;</span> + std::to_string(featureNames.size()) + <span class="stringliteral">&quot;)&quot;</span>);</div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        }</div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        <span class="keywordflow">if</span> (features.size() == 0) {</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;The network has not been initialized. You must call addNode() before calling fit()&quot;</span>);</div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        }</div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="keywordflow">if</span> (n_features != features.size() - 1) {</div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X and local features must have the same number of features in Network::fit (&quot;</span> + std::to_string(n_features) + <span class="stringliteral">&quot; != &quot;</span> + std::to_string(features.size() - 1) + <span class="stringliteral">&quot;)&quot;</span>);</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        }</div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">if</span> (find(features.begin(), features.end(), className) == features.end()) {</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Class Name not found in Network::features&quot;</span>);</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>        }</div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; feature : featureNames) {</div>
-<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>            <span class="keywordflow">if</span> (find(features.begin(), features.end(), feature) == features.end()) {</div>
-<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Feature &quot;</span> + feature + <span class="stringliteral">&quot; not found in Network::features&quot;</span>);</div>
-<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>            }</div>
-<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="keywordflow">if</span> (states.find(feature) == states.end()) {</div>
-<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>                <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Feature &quot;</span> + feature + <span class="stringliteral">&quot; not found in states&quot;</span>);</div>
-<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>            }</div>
-<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        }</div>
-<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    }</div>
-<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    <span class="keywordtype">void</span> Network::setStates(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>    {</div>
-<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <span class="comment">// Set states to every Node in the network</span></div>
-<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        for_each(features.begin(), features.end(), [<span class="keyword">this</span>, &amp;states](<span class="keyword">const</span> std::string&amp; feature) {</div>
-<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>            nodes.at(feature)-&gt;setNumStates(states.at(feature).size());</div>
-<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>            });</div>
-<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        classNumStates = nodes.at(className)-&gt;getNumStates();</div>
-<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>    }</div>
-<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    <span class="comment">// X comes in nxm, where n is the number of features and m the number of samples</span></div>
-<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>    <span class="keywordtype">void</span> Network::fit(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    {</div>
-<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        checkFitData(X.size(1), X.size(0), y.size(0), featureNames, className, states, weights);</div>
-<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        this-&gt;className = className;</div>
-<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        torch::Tensor ytmp = torch::transpose(y.view({ y.size(0), 1 }), 0, 1);</div>
-<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        samples = torch::cat({ X , ytmp }, 0);</div>
-<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; featureNames.size(); ++i) {</div>
-<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>            <span class="keyword">auto</span> row_feature = X.index({ i, <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        }</div>
-<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        completeFit(states, weights);</div>
-<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    }</div>
-<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>    <span class="keywordtype">void</span> Network::fit(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>    {</div>
-<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        checkFitData(samples.size(1), samples.size(0) - 1, samples.size(1), featureNames, className, states, weights);</div>
-<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        this-&gt;className = className;</div>
-<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        this-&gt;samples = samples;</div>
-<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        completeFit(states, weights);</div>
-<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    }</div>
-<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>    <span class="comment">// input_data comes in nxm, where n is the number of features and m the number of samples</span></div>
-<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>    <span class="keywordtype">void</span> Network::fit(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; input_data, <span class="keyword">const</span> std::vector&lt;int&gt;&amp; labels, <span class="keyword">const</span> std::vector&lt;double&gt;&amp; weights_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</div>
-<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>    {</div>
-<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>        <span class="keyword">const</span> torch::Tensor weights = torch::tensor(weights_, torch::kFloat64);</div>
-<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>        checkFitData(input_data[0].size(), input_data.size(), labels.size(), featureNames, className, states, weights);</div>
-<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        this-&gt;className = className;</div>
-<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <span class="comment">// Build tensor of samples (nxm) (n+1 because of the class)</span></div>
-<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        samples = torch::zeros({ <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(input_data.size() + 1), <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(input_data[0].size()) }, torch::kInt32);</div>
-<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; featureNames.size(); ++i) {</div>
-<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>            samples.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(input_data[i], torch::kInt32));</div>
-<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        }</div>
-<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        samples.index_put_({ -1, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(labels, torch::kInt32));</div>
-<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>        completeFit(states, weights);</div>
-<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    }</div>
-<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>    <span class="keywordtype">void</span> Network::completeFit(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>    {</div>
-<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        setStates(states);</div>
-<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        laplaceSmoothing = 1.0 / samples.size(1); <span class="comment">// To use in CPT computation</span></div>
-<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        std::vector&lt;std::thread&gt; threads;</div>
-<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
-<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>            threads.emplace_back([<span class="keyword">this</span>, &amp;node, &amp;weights]() {</div>
-<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>                node.second-&gt;computeCPT(samples, features, laplaceSmoothing, weights);</div>
-<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>                });</div>
-<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        }</div>
-<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
-<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>            thread.join();</div>
-<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        }</div>
-<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        fitted = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>    }</div>
-<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    torch::Tensor Network::predict_tensor(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> <span class="keywordtype">bool</span> proba)</div>
-<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>    {</div>
-<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;You must call fit() before calling predict()&quot;</span>);</div>
-<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        }</div>
-<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>        torch::Tensor result;</div>
-<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        result = torch::zeros({ samples.size(1), classNumStates }, torch::kFloat64);</div>
-<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; samples.size(1); ++i) {</div>
-<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>            <span class="keyword">const</span> torch::Tensor sample = samples.index({ <span class="stringliteral">&quot;...&quot;</span>, i });</div>
-<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>            <span class="keyword">auto</span> psample = predict_sample(sample);</div>
-<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>            <span class="keyword">auto</span> temp = torch::tensor(psample, torch::kFloat64);</div>
-<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>            <span class="comment">//            result.index_put_({ i, &quot;...&quot; }, torch::tensor(predict_sample(sample), torch::kFloat64));</span></div>
-<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>            result.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, temp);</div>
-<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>        }</div>
-<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>        <span class="keywordflow">if</span> (proba)</div>
-<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>            <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <span class="keywordflow">return</span> result.argmax(1);</div>
-<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>    }</div>
-<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>    <span class="comment">// Return mxn tensor of probabilities</span></div>
-<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>    torch::Tensor Network::predict_proba(<span class="keyword">const</span> torch::Tensor&amp; samples)</div>
-<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>    {</div>
-<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>        <span class="keywordflow">return</span> predict_tensor(samples, <span class="keyword">true</span>);</div>
-<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>    }</div>
-<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span> </div>
-<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>    <span class="comment">// Return mxn tensor of probabilities</span></div>
-<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>    torch::Tensor Network::predict(<span class="keyword">const</span> torch::Tensor&amp; samples)</div>
-<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>    {</div>
-<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        <span class="keywordflow">return</span> predict_tensor(samples, <span class="keyword">false</span>);</div>
-<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>    }</div>
-<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span> </div>
-<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>    <span class="comment">// Return mx1 std::vector of predictions</span></div>
-<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>    <span class="comment">// tsamples is nxm std::vector of samples</span></div>
-<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>    std::vector&lt;int&gt; Network::predict(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples)</div>
-<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>    {</div>
-<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;You must call fit() before calling predict()&quot;</span>);</div>
-<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        }</div>
-<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        std::vector&lt;int&gt; predictions;</div>
-<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        std::vector&lt;int&gt; sample;</div>
-<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> row = 0; row &lt; tsamples[0].size(); ++row) {</div>
-<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>            sample.clear();</div>
-<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> col = 0; col &lt; tsamples.size(); ++col) {</div>
-<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>                sample.push_back(tsamples[col][row]);</div>
-<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>            }</div>
-<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>            std::vector&lt;double&gt; classProbabilities = predict_sample(sample);</div>
-<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>            <span class="comment">// Find the class with the maximum posterior probability</span></div>
-<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>            <span class="keyword">auto</span> maxElem = max_element(classProbabilities.begin(), classProbabilities.end());</div>
-<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>            <span class="keywordtype">int</span> predictedClass = distance(classProbabilities.begin(), maxElem);</div>
-<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>            predictions.push_back(predictedClass);</div>
-<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>        }</div>
-<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span>        <span class="keywordflow">return</span> predictions;</div>
-<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span>    }</div>
-<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>    <span class="comment">// Return mxn std::vector of probabilities</span></div>
-<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>    <span class="comment">// tsamples is nxm std::vector of samples</span></div>
-<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span>    std::vector&lt;std::vector&lt;double&gt;&gt; Network::predict_proba(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples)</div>
-<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span>    {</div>
-<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span>        <span class="keywordflow">if</span> (!fitted) {</div>
-<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;You must call fit() before calling predict_proba()&quot;</span>);</div>
-<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>        }</div>
-<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predictions;</div>
-<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>        std::vector&lt;int&gt; sample;</div>
-<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> row = 0; row &lt; tsamples[0].size(); ++row) {</div>
-<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>            sample.clear();</div>
-<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> col = 0; col &lt; tsamples.size(); ++col) {</div>
-<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>                sample.push_back(tsamples[col][row]);</div>
-<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>            }</div>
-<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>            predictions.push_back(predict_sample(sample));</div>
-<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>        }</div>
-<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>        <span class="keywordflow">return</span> predictions;</div>
-<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>    }</div>
-<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span>    <span class="keywordtype">double</span> Network::score(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples, <span class="keyword">const</span> std::vector&lt;int&gt;&amp; labels)</div>
-<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>    {</div>
-<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>        std::vector&lt;int&gt; y_pred = predict(tsamples);</div>
-<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span>        <span class="keywordtype">int</span> correct = 0;</div>
-<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; y_pred.size(); ++i) {</div>
-<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span>            <span class="keywordflow">if</span> (y_pred[i] == labels[i]) {</div>
-<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span>                correct++;</div>
-<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span>            }</div>
-<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>        }</div>
-<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>        <span class="keywordflow">return</span> (<span class="keywordtype">double</span>)correct / y_pred.size();</div>
-<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>    }</div>
-<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>    <span class="comment">// Return 1xn std::vector of probabilities</span></div>
-<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    std::vector&lt;double&gt; Network::predict_sample(<span class="keyword">const</span> std::vector&lt;int&gt;&amp; sample)</div>
-<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>    {</div>
-<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>        <span class="comment">// Ensure the sample size is equal to the number of features</span></div>
-<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>        <span class="keywordflow">if</span> (sample.size() != features.size() - 1) {</div>
-<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Sample size (&quot;</span> + std::to_string(sample.size()) +</div>
-<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>                <span class="stringliteral">&quot;) does not match the number of features (&quot;</span> + std::to_string(features.size() - 1) + <span class="stringliteral">&quot;)&quot;</span>);</div>
-<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>        }</div>
-<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>        std::map&lt;std::string, int&gt; evidence;</div>
-<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; sample.size(); ++i) {</div>
-<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span>            evidence[features[i]] = sample[i];</div>
-<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span>        }</div>
-<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span>        <span class="keywordflow">return</span> exactInference(evidence);</div>
-<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span>    }</div>
-<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>    <span class="comment">// Return 1xn std::vector of probabilities</span></div>
-<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>    std::vector&lt;double&gt; Network::predict_sample(<span class="keyword">const</span> torch::Tensor&amp; sample)</div>
-<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span>    {</div>
-<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span>        <span class="comment">// Ensure the sample size is equal to the number of features</span></div>
-<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>        <span class="keywordflow">if</span> (sample.size(0) != features.size() - 1) {</div>
-<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;Sample size (&quot;</span> + std::to_string(sample.size(0)) +</div>
-<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>                <span class="stringliteral">&quot;) does not match the number of features (&quot;</span> + std::to_string(features.size() - 1) + <span class="stringliteral">&quot;)&quot;</span>);</div>
-<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span>        }</div>
-<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span>        std::map&lt;std::string, int&gt; evidence;</div>
-<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; sample.size(0); ++i) {</div>
-<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>            evidence[features[i]] = sample[i].item&lt;<span class="keywordtype">int</span>&gt;();</div>
-<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>        }</div>
-<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span>        <span class="keywordflow">return</span> exactInference(evidence);</div>
-<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>    }</div>
-<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>    <span class="keywordtype">double</span> Network::computeFactor(std::map&lt;std::string, int&gt;&amp; completeEvidence)</div>
-<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>    {</div>
-<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>        <span class="keywordtype">double</span> result = 1.0;</div>
-<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : getNodes()) {</div>
-<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>            result *= node.second-&gt;getFactorValue(completeEvidence);</div>
-<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span>        }</div>
-<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>    }</div>
-<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>    std::vector&lt;double&gt; Network::exactInference(std::map&lt;std::string, int&gt;&amp; evidence)</div>
-<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>    {</div>
-<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>        std::vector&lt;double&gt; result(classNumStates, 0.0);</div>
-<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span>        std::vector&lt;std::thread&gt; threads;</div>
-<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span>        std::mutex mtx;</div>
-<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; classNumStates; ++i) {</div>
-<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span>            threads.emplace_back([<span class="keyword">this</span>, &amp;result, &amp;evidence, i, &amp;mtx]() {</div>
-<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span>                <span class="keyword">auto</span> completeEvidence = std::map&lt;std::string, int&gt;(evidence);</div>
-<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span>                completeEvidence[getClassName()] = i;</div>
-<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span>                <span class="keywordtype">double</span> factor = computeFactor(completeEvidence);</div>
-<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span>                std::lock_guard&lt;std::mutex&gt; lock(mtx);</div>
-<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>                result[i] = factor;</div>
-<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>                });</div>
-<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>        }</div>
-<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; thread : threads) {</div>
-<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span>            thread.join();</div>
-<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span>        }</div>
-<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span>        <span class="comment">// Normalize result</span></div>
-<div class="line"><a id="l00340" name="l00340"></a><span class="lineno">  340</span>        <span class="keywordtype">double</span> sum = accumulate(result.begin(), result.end(), 0.0);</div>
-<div class="line"><a id="l00341" name="l00341"></a><span class="lineno">  341</span>        transform(result.begin(), result.end(), result.begin(), [sum](<span class="keyword">const</span> <span class="keywordtype">double</span>&amp; value) { return value / sum; });</div>
-<div class="line"><a id="l00342" name="l00342"></a><span class="lineno">  342</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span>    }</div>
-<div class="line"><a id="l00344" name="l00344"></a><span class="lineno">  344</span>    std::vector&lt;std::string&gt; Network::show()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00345" name="l00345"></a><span class="lineno">  345</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>        std::vector&lt;std::string&gt; result;</div>
-<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>        <span class="comment">// Draw the network</span></div>
-<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
-<div class="line"><a id="l00349" name="l00349"></a><span class="lineno">  349</span>            std::string line = node.first + <span class="stringliteral">&quot; -&gt; &quot;</span>;</div>
-<div class="line"><a id="l00350" name="l00350"></a><span class="lineno">  350</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> child : node.second-&gt;getChildren()) {</div>
-<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span>                line += child-&gt;getName() + <span class="stringliteral">&quot;, &quot;</span>;</div>
-<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>            }</div>
-<div class="line"><a id="l00353" name="l00353"></a><span class="lineno">  353</span>            result.push_back(line);</div>
-<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span>        }</div>
-<div class="line"><a id="l00355" name="l00355"></a><span class="lineno">  355</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span>    }</div>
-<div class="line"><a id="l00357" name="l00357"></a><span class="lineno">  357</span>    std::vector&lt;std::string&gt; Network::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00359" name="l00359"></a><span class="lineno">  359</span>        <span class="keyword">auto</span> output = std::vector&lt;std::string&gt;();</div>
-<div class="line"><a id="l00360" name="l00360"></a><span class="lineno">  360</span>        <span class="keyword">auto</span> prefix = <span class="stringliteral">&quot;digraph BayesNet {\nlabel=&lt;BayesNet &quot;</span>;</div>
-<div class="line"><a id="l00361" name="l00361"></a><span class="lineno">  361</span>        <span class="keyword">auto</span> suffix = <span class="stringliteral">&quot;&gt;\nfontsize=30\nfontcolor=blue\nlabelloc=t\nlayout=circo\n&quot;</span>;</div>
-<div class="line"><a id="l00362" name="l00362"></a><span class="lineno">  362</span>        std::string header = prefix + title + suffix;</div>
-<div class="line"><a id="l00363" name="l00363"></a><span class="lineno">  363</span>        output.push_back(header);</div>
-<div class="line"><a id="l00364" name="l00364"></a><span class="lineno">  364</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
-<div class="line"><a id="l00365" name="l00365"></a><span class="lineno">  365</span>            <span class="keyword">auto</span> result = node.second-&gt;graph(className);</div>
-<div class="line"><a id="l00366" name="l00366"></a><span class="lineno">  366</span>            output.insert(output.end(), result.begin(), result.end());</div>
-<div class="line"><a id="l00367" name="l00367"></a><span class="lineno">  367</span>        }</div>
-<div class="line"><a id="l00368" name="l00368"></a><span class="lineno">  368</span>        output.push_back(<span class="stringliteral">&quot;}\n&quot;</span>);</div>
-<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span>        <span class="keywordflow">return</span> output;</div>
-<div class="line"><a id="l00370" name="l00370"></a><span class="lineno">  370</span>    }</div>
-<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span>    std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; Network::getEdges()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00372" name="l00372"></a><span class="lineno">  372</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00373" name="l00373"></a><span class="lineno">  373</span>        <span class="keyword">auto</span> edges = std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt;();</div>
-<div class="line"><a id="l00374" name="l00374"></a><span class="lineno">  374</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; node : nodes) {</div>
-<div class="line"><a id="l00375" name="l00375"></a><span class="lineno">  375</span>            <span class="keyword">auto</span> head = node.first;</div>
-<div class="line"><a id="l00376" name="l00376"></a><span class="lineno">  376</span>            <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; child : node.second-&gt;getChildren()) {</div>
-<div class="line"><a id="l00377" name="l00377"></a><span class="lineno">  377</span>                <span class="keyword">auto</span> tail = child-&gt;getName();</div>
-<div class="line"><a id="l00378" name="l00378"></a><span class="lineno">  378</span>                edges.push_back({ head, tail });</div>
-<div class="line"><a id="l00379" name="l00379"></a><span class="lineno">  379</span>            }</div>
-<div class="line"><a id="l00380" name="l00380"></a><span class="lineno">  380</span>        }</div>
-<div class="line"><a id="l00381" name="l00381"></a><span class="lineno">  381</span>        <span class="keywordflow">return</span> edges;</div>
-<div class="line"><a id="l00382" name="l00382"></a><span class="lineno">  382</span>    }</div>
-<div class="line"><a id="l00383" name="l00383"></a><span class="lineno">  383</span>    <span class="keywordtype">int</span> Network::getNumEdges()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span>        <span class="keywordflow">return</span> getEdges().size();</div>
-<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span>    }</div>
-<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>    std::vector&lt;std::string&gt; Network::topological_sort()</div>
-<div class="line"><a id="l00388" name="l00388"></a><span class="lineno">  388</span>    {</div>
-<div class="line"><a id="l00389" name="l00389"></a><span class="lineno">  389</span>        <span class="comment">/* Check if al the fathers of every node are before the node */</span></div>
-<div class="line"><a id="l00390" name="l00390"></a><span class="lineno">  390</span>        <span class="keyword">auto</span> result = features;</div>
-<div class="line"><a id="l00391" name="l00391"></a><span class="lineno">  391</span>        result.erase(remove(result.begin(), result.end(), className), result.end());</div>
-<div class="line"><a id="l00392" name="l00392"></a><span class="lineno">  392</span>        <span class="keywordtype">bool</span> ending{ <span class="keyword">false</span> };</div>
-<div class="line"><a id="l00393" name="l00393"></a><span class="lineno">  393</span>        <span class="keywordflow">while</span> (!ending) {</div>
-<div class="line"><a id="l00394" name="l00394"></a><span class="lineno">  394</span>            ending = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00395" name="l00395"></a><span class="lineno">  395</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : features) {</div>
-<div class="line"><a id="l00396" name="l00396"></a><span class="lineno">  396</span>                <span class="keyword">auto</span> fathers = nodes[feature]-&gt;getParents();</div>
-<div class="line"><a id="l00397" name="l00397"></a><span class="lineno">  397</span>                <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; father : fathers) {</div>
-<div class="line"><a id="l00398" name="l00398"></a><span class="lineno">  398</span>                    <span class="keyword">auto</span> fatherName = father-&gt;getName();</div>
-<div class="line"><a id="l00399" name="l00399"></a><span class="lineno">  399</span>                    <span class="keywordflow">if</span> (fatherName == className) {</div>
-<div class="line"><a id="l00400" name="l00400"></a><span class="lineno">  400</span>                        <span class="keywordflow">continue</span>;</div>
-<div class="line"><a id="l00401" name="l00401"></a><span class="lineno">  401</span>                    }</div>
-<div class="line"><a id="l00402" name="l00402"></a><span class="lineno">  402</span>                    <span class="comment">// Check if father is placed before the actual feature</span></div>
-<div class="line"><a id="l00403" name="l00403"></a><span class="lineno">  403</span>                    <span class="keyword">auto</span> it = find(result.begin(), result.end(), fatherName);</div>
-<div class="line"><a id="l00404" name="l00404"></a><span class="lineno">  404</span>                    <span class="keywordflow">if</span> (it != result.end()) {</div>
-<div class="line"><a id="l00405" name="l00405"></a><span class="lineno">  405</span>                        <span class="keyword">auto</span> it2 = find(result.begin(), result.end(), feature);</div>
-<div class="line"><a id="l00406" name="l00406"></a><span class="lineno">  406</span>                        <span class="keywordflow">if</span> (it2 != result.end()) {</div>
-<div class="line"><a id="l00407" name="l00407"></a><span class="lineno">  407</span>                            <span class="keywordflow">if</span> (distance(it, it2) &lt; 0) {</div>
-<div class="line"><a id="l00408" name="l00408"></a><span class="lineno">  408</span>                                <span class="comment">// if it is not, insert it before the feature</span></div>
-<div class="line"><a id="l00409" name="l00409"></a><span class="lineno">  409</span>                                result.erase(remove(result.begin(), result.end(), fatherName), result.end());</div>
-<div class="line"><a id="l00410" name="l00410"></a><span class="lineno">  410</span>                                result.insert(it2, fatherName);</div>
-<div class="line"><a id="l00411" name="l00411"></a><span class="lineno">  411</span>                                ending = <span class="keyword">false</span>;</div>
-<div class="line"><a id="l00412" name="l00412"></a><span class="lineno">  412</span>                            }</div>
-<div class="line"><a id="l00413" name="l00413"></a><span class="lineno">  413</span>                        }</div>
-<div class="line"><a id="l00414" name="l00414"></a><span class="lineno">  414</span>                    }</div>
-<div class="line"><a id="l00415" name="l00415"></a><span class="lineno">  415</span>                }</div>
-<div class="line"><a id="l00416" name="l00416"></a><span class="lineno">  416</span>            }</div>
-<div class="line"><a id="l00417" name="l00417"></a><span class="lineno">  417</span>        }</div>
-<div class="line"><a id="l00418" name="l00418"></a><span class="lineno">  418</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00419" name="l00419"></a><span class="lineno">  419</span>    }</div>
-<div class="line"><a id="l00420" name="l00420"></a><span class="lineno">  420</span>    std::string Network::dump_cpt()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00421" name="l00421"></a><span class="lineno">  421</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00422" name="l00422"></a><span class="lineno">  422</span>        std::stringstream oss;</div>
-<div class="line"><a id="l00423" name="l00423"></a><span class="lineno">  423</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; node : nodes) {</div>
-<div class="line"><a id="l00424" name="l00424"></a><span class="lineno">  424</span>            oss &lt;&lt; <span class="stringliteral">&quot;* &quot;</span> &lt;&lt; node.first &lt;&lt; <span class="stringliteral">&quot;: (&quot;</span> &lt;&lt; node.second-&gt;getNumStates() &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span> &lt;&lt; node.second-&gt;getCPT().sizes() &lt;&lt; std::endl;</div>
-<div class="line"><a id="l00425" name="l00425"></a><span class="lineno">  425</span>            oss &lt;&lt; node.second-&gt;getCPT() &lt;&lt; std::endl;</div>
-<div class="line"><a id="l00426" name="l00426"></a><span class="lineno">  426</span>        }</div>
-<div class="line"><a id="l00427" name="l00427"></a><span class="lineno">  427</span>        <span class="keywordflow">return</span> oss.str();</div>
-<div class="line"><a id="l00428" name="l00428"></a><span class="lineno">  428</span>    }</div>
-<div class="line"><a id="l00429" name="l00429"></a><span class="lineno">  429</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Network.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_network_8h_source.html b/docs/manual/_network_8h_source.html
deleted file mode 100644
index 938087c..0000000
--- a/docs/manual/_network_8h_source.html
+++ /dev/null
@@ -1,186 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Network.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_network_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Network.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef NETWORK_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define NETWORK_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;map&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &quot;bayesnet/config.h&quot;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &quot;Node.h&quot;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00015" data-start="{" data-end="};">
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_network.html">   15</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a> {</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>();</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>(<span class="keywordtype">float</span>);</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>(<span class="keyword">const</span> <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>&amp;);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <a class="code hl_class" href="classbayesnet_1_1_network.html">~Network</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor&amp; getSamples();</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordtype">float</span> getMaxThreads() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="keywordtype">void</span> addNode(<span class="keyword">const</span> std::string&amp;);</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordtype">void</span> addEdge(<span class="keyword">const</span> std::string&amp;, <span class="keyword">const</span> std::string&amp;);</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt;&amp; getNodes();</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        std::vector&lt;std::string&gt; getFeatures() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getStates() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; getEdges() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordtype">int</span> getNumEdges() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keywordtype">int</span> getClassNumStates() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        std::string getClassName() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="comment">/*</span></div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">        Notice: Nodes have to be inserted in the same order as they are in the dataset, i.e., first node is first column and so on.</span></div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment">        */</span></div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordtype">void</span> fit(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp; input_data, <span class="keyword">const</span> std::vector&lt;int&gt;&amp; labels, <span class="keyword">const</span> std::vector&lt;double&gt;&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordtype">void</span> fit(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="keywordtype">void</span> fit(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> torch::Tensor&amp; weights, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::vector&lt;int&gt; predict(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp;); <span class="comment">// Return mx1 std::vector of predictions</span></div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        torch::Tensor predict(<span class="keyword">const</span> torch::Tensor&amp;); <span class="comment">// Return mx1 tensor of predictions</span></div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>        torch::Tensor predict_tensor(<span class="keyword">const</span> torch::Tensor&amp; samples, <span class="keyword">const</span> <span class="keywordtype">bool</span> proba);</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp;); <span class="comment">// Return mxn std::vector of probabilities</span></div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>        torch::Tensor predict_proba(<span class="keyword">const</span> torch::Tensor&amp;); <span class="comment">// Return mxn tensor of probabilities</span></div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordtype">double</span> score(<span class="keyword">const</span> std::vector&lt;std::vector&lt;int&gt;&gt;&amp;, <span class="keyword">const</span> std::vector&lt;int&gt;&amp;);</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        std::vector&lt;std::string&gt; topological_sort();</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        std::vector&lt;std::string&gt; show() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; title) <span class="keyword">const</span>; <span class="comment">// Returns a std::vector of std::strings representing the graph in graphviz format</span></div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>        <span class="keywordtype">void</span> initialize();</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        std::string dump_cpt() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span>  { project_version.begin(), project_version.end() }; }</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>        std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt; nodes;</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keywordtype">bool</span> fitted;</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keywordtype">float</span> maxThreads = 0.95;</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keywordtype">int</span> classNumStates;</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>        std::vector&lt;std::string&gt; features; <span class="comment">// Including classname</span></div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>        std::string className;</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        <span class="keywordtype">double</span> laplaceSmoothing;</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        torch::Tensor samples; <span class="comment">// n+1xm tensor used to fit the model</span></div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>        <span class="keywordtype">bool</span> isCyclic(<span class="keyword">const</span> std::string&amp;, std::unordered_set&lt;std::string&gt;&amp;, std::unordered_set&lt;std::string&gt;&amp;);</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        std::vector&lt;double&gt; predict_sample(<span class="keyword">const</span> std::vector&lt;int&gt;&amp;);</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        std::vector&lt;double&gt; predict_sample(<span class="keyword">const</span> torch::Tensor&amp;);</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>        std::vector&lt;double&gt; exactInference(std::map&lt;std::string, int&gt;&amp;);</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>        <span class="keywordtype">double</span> computeFactor(std::map&lt;std::string, int&gt;&amp;);</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>        <span class="keywordtype">void</span> completeFit(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>        <span class="keywordtype">void</span> checkFitData(<span class="keywordtype">int</span> n_features, <span class="keywordtype">int</span> n_samples, <span class="keywordtype">int</span> n_samples_y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; featureNames, <span class="keyword">const</span> std::string&amp; className, <span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <span class="keywordtype">void</span> setStates(<span class="keyword">const</span> std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp;);</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    };</div>
-</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>}</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_network_html"><div class="ttname"><a href="classbayesnet_1_1_network.html">bayesnet::Network</a></div><div class="ttdef"><b>Definition</b> <a href="#l00015">Network.h:15</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Network.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_node_8cc_source.html b/docs/manual/_node_8cc_source.html
deleted file mode 100644
index 2046da7..0000000
--- a/docs/manual/_node_8cc_source.html
+++ /dev/null
@@ -1,254 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Node.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_node_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Node.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;Node.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    Node::Node(<span class="keyword">const</span> std::string&amp; name)</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>        : name(name)</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    }</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keywordtype">void</span> Node::clear()</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    {</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        parents.clear();</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        children.clear();</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        cpTable = torch::Tensor();</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        dimensions.clear();</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        numStates = 0;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    }</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    std::string Node::getName()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">return</span> name;</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    }</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    <span class="keywordtype">void</span> Node::addParent(Node* parent)</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    {</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        parents.push_back(parent);</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    }</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    <span class="keywordtype">void</span> Node::removeParent(Node* parent)</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    {</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        parents.erase(std::remove(parents.begin(), parents.end(), parent), parents.end());</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    }</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    <span class="keywordtype">void</span> Node::removeChild(Node* child)</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    {</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        children.erase(std::remove(children.begin(), children.end(), child), children.end());</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    }</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    <span class="keywordtype">void</span> Node::addChild(Node* child)</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    {</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>        children.push_back(child);</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    }</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    std::vector&lt;Node*&gt;&amp; Node::getParents()</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    {</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>        <span class="keywordflow">return</span> parents;</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    }</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    std::vector&lt;Node*&gt;&amp; Node::getChildren()</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>    {</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="keywordflow">return</span> children;</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    }</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    <span class="keywordtype">int</span> Node::getNumStates()<span class="keyword"> const</span></div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        <span class="keywordflow">return</span> numStates;</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>    }</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    <span class="keywordtype">void</span> Node::setNumStates(<span class="keywordtype">int</span> numStates)</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    {</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>        this-&gt;numStates = numStates;</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    }</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    torch::Tensor&amp; Node::getCPT()</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    {</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordflow">return</span> cpTable;</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    }</div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    <span class="comment">/*</span></div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">     The MinFill criterion is a heuristic for variable elimination.</span></div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">     The variable that minimizes the number of edges that need to be added to the graph to make it triangulated.</span></div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">     This is done by counting the number of edges that need to be added to the graph if the variable is eliminated.</span></div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">     The variable with the minimum number of edges is chosen.</span></div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment">     Here this is done computing the length of the combinations of the node neighbors taken 2 by 2.</span></div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment">    */</span></div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    <span class="keywordtype">unsigned</span> Node::minFill()</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    {</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        std::unordered_set&lt;std::string&gt; neighbors;</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> child : children) {</div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>            neighbors.emplace(child-&gt;getName());</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        }</div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> parent : parents) {</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>            neighbors.emplace(parent-&gt;getName());</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>        }</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="keyword">auto</span> source = std::vector&lt;std::string&gt;(neighbors.begin(), neighbors.end());</div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="keywordflow">return</span> combinations(source).size();</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>    }</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; Node::combinations(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; source)</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>    {</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; result;</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; source.size(); ++i) {</div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>            std::string temp = source[i];</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = i + 1; j &lt; source.size(); ++j) {</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>                result.push_back({ temp, source[j] });</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            }</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>        }</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        <span class="keywordflow">return</span> result;</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    }</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>    <span class="keywordtype">void</span> Node::computeCPT(<span class="keyword">const</span> torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> <span class="keywordtype">double</span> laplaceSmoothing, <span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    {</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        dimensions.clear();</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        <span class="comment">// Get dimensions of the CPT</span></div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        dimensions.push_back(numStates);</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        transform(parents.begin(), parents.end(), back_inserter(dimensions), [](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; parent) { <span class="keywordflow">return</span> parent-&gt;getNumStates(); });</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        <span class="comment">// Create a tensor of zeros with the dimensions of the CPT</span></div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        cpTable = torch::zeros(dimensions, torch::kFloat) + laplaceSmoothing;</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        <span class="comment">// Fill table with counts</span></div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keyword">auto</span> pos = find(features.begin(), features.end(), name);</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <span class="keywordflow">if</span> (pos == features.end()) {</div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>            <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;Feature &quot;</span> + name + <span class="stringliteral">&quot; not found in dataset&quot;</span>);</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        }</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keywordtype">int</span> name_index = pos - features.begin();</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n_sample = 0; n_sample &lt; dataset.size(1); ++n_sample) {</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            c10::List&lt;c10::optional&lt;at::Tensor&gt;&gt; coordinates;</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            coordinates.push_back(dataset.index({ name_index, n_sample }));</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> parent : parents) {</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                pos = find(features.begin(), features.end(), parent-&gt;getName());</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>                <span class="keywordflow">if</span> (pos == features.end()) {</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>                    <span class="keywordflow">throw</span> std::logic_error(<span class="stringliteral">&quot;Feature parent &quot;</span> + parent-&gt;getName() + <span class="stringliteral">&quot; not found in dataset&quot;</span>);</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>                }</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>                <span class="keywordtype">int</span> parent_index = pos - features.begin();</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>                coordinates.push_back(dataset.index({ parent_index, n_sample }));</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>            }</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>            <span class="comment">// Increment the count of the corresponding coordinate</span></div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>            cpTable.index_put_({ coordinates }, cpTable.index({ coordinates }) + weights.index({ n_sample }).item&lt;<span class="keywordtype">double</span>&gt;());</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        }</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        <span class="comment">// Normalize the counts</span></div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        cpTable = cpTable / cpTable.sum(0);</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>    }</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    <span class="keywordtype">float</span> Node::getFactorValue(std::map&lt;std::string, int&gt;&amp; evidence)</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    {</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        c10::List&lt;c10::optional&lt;at::Tensor&gt;&gt; coordinates;</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="comment">// following predetermined order of indices in the cpTable (see Node.h)</span></div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        coordinates.push_back(at::tensor(evidence[name]));</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        transform(parents.begin(), parents.end(), std::back_inserter(coordinates), [&amp;evidence](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; parent) { return at::tensor(evidence[parent-&gt;getName()]); });</div>
-<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="keywordflow">return</span> cpTable.index({ coordinates }).item&lt;float&gt;();</div>
-<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>    }</div>
-<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>    std::vector&lt;std::string&gt; Node::graph(<span class="keyword">const</span> std::string&amp; className)</div>
-<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    {</div>
-<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="keyword">auto</span> output = std::vector&lt;std::string&gt;();</div>
-<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        <span class="keyword">auto</span> suffix = name == className ? <span class="stringliteral">&quot;, fontcolor=red, fillcolor=lightblue, style=filled &quot;</span> : <span class="stringliteral">&quot;&quot;</span>;</div>
-<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        output.push_back(name + <span class="stringliteral">&quot; [shape=circle&quot;</span> + suffix + <span class="stringliteral">&quot;] \n&quot;</span>);</div>
-<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        transform(children.begin(), children.end(), back_inserter(output), [<span class="keyword">this</span>](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; child) { <span class="keywordflow">return</span> name + <span class="stringliteral">&quot; -&gt; &quot;</span> + child-&gt;getName(); });</div>
-<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="keywordflow">return</span> output;</div>
-<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    }</div>
-<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Node.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_node_8h_source.html b/docs/manual/_node_8h_source.html
deleted file mode 100644
index 5121b18..0000000
--- a/docs/manual/_node_8h_source.html
+++ /dev/null
@@ -1,159 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network/Node.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_node_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Node.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef NODE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define NODE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;unordered_set&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;string&gt;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00014" data-start="{" data-end="};">
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_node.html">   14</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a> {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>(<span class="keyword">const</span> std::string&amp;);</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keywordtype">void</span> clear();</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordtype">void</span> addParent(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> addChild(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keywordtype">void</span> removeParent(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordtype">void</span> removeChild(<a class="code hl_class" href="classbayesnet_1_1_node.html">Node</a>*);</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        std::string getName() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        std::vector&lt;Node*&gt;&amp; getParents();</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        std::vector&lt;Node*&gt;&amp; getChildren();</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        torch::Tensor&amp; getCPT();</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">void</span> computeCPT(<span class="keyword">const</span> torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> <span class="keywordtype">double</span> laplaceSmoothing, <span class="keyword">const</span> torch::Tensor&amp; weights);</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="keywordtype">int</span> getNumStates() <span class="keyword">const</span>;</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordtype">void</span> setNumStates(<span class="keywordtype">int</span>);</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordtype">unsigned</span> minFill();</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; clasName); <span class="comment">// Returns a std::vector of std::strings representing the graph in graphviz format</span></div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keywordtype">float</span> getFactorValue(std::map&lt;std::string, int&gt;&amp;);</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::string name;</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        std::vector&lt;Node*&gt; parents;</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        std::vector&lt;Node*&gt; children;</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="keywordtype">int</span> numStates = 0; <span class="comment">// number of states of the variable</span></div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        torch::Tensor cpTable; <span class="comment">// Order of indices is 0-&gt; node variable, 1-&gt; 1st parent, 2-&gt; 2nd parent, ...</span></div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        std::vector&lt;int64_t&gt; dimensions; <span class="comment">// dimensions of the cpTable</span></div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; combinations(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp;);</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    };</div>
-</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>}</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_node_html"><div class="ttname"><a href="classbayesnet_1_1_node.html">bayesnet::Node</a></div><div class="ttdef"><b>Definition</b> <a href="#l00014">Node.h:14</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li><li class="navelem"><b>Node.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_proposal_8cc_source.html b/docs/manual/_proposal_8cc_source.html
deleted file mode 100644
index 89130d5..0000000
--- a/docs/manual/_proposal_8cc_source.html
+++ /dev/null
@@ -1,243 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Proposal.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_proposal_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Proposal.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    Proposal::Proposal(torch::Tensor&amp; dataset_, std::vector&lt;std::string&gt;&amp; features_, std::string&amp; className_) : pDataset(dataset_), pFeatures(features_), pClassName(className_) {}</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    Proposal::~Proposal()</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; [key, value] : discretizers) {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>            <span class="keyword">delete</span> value;</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        }</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    }</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <span class="keywordtype">void</span> Proposal::checkInput(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y)</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    {</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordflow">if</span> (!torch::is_floating_point(X)) {</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;X must be a floating point tensor&quot;</span>);</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        }</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordflow">if</span> (torch::is_floating_point(y)) {</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">&quot;y must be an integer tensor&quot;</span>);</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        }</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    }</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::localDiscretizationProposal(<span class="keyword">const</span> map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; oldStates, Network&amp; model)</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    {</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="comment">// order of local discretization is important. no good 0, 1, 2...</span></div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="comment">// although we rediscretize features after the local discretization of every feature</span></div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keyword">auto</span> order = model.topological_sort();</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="keyword">auto</span>&amp; nodes = model.getNodes();</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; states = oldStates;</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::vector&lt;int&gt; indicesToReDiscretize;</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordtype">bool</span> upgrade = <span class="keyword">false</span>; <span class="comment">// Flag to check if we need to upgrade the model</span></div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : order) {</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>            <span class="keyword">auto</span> nodeParents = nodes[feature]-&gt;getParents();</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>            <span class="keywordflow">if</span> (nodeParents.size() &lt; 2) <span class="keywordflow">continue</span>; <span class="comment">// Only has class as parent</span></div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            upgrade = <span class="keyword">true</span>;</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>            <span class="keywordtype">int</span> index = find(pFeatures.begin(), pFeatures.end(), feature) - pFeatures.begin();</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>            indicesToReDiscretize.push_back(index); <span class="comment">// We need to re-discretize this feature</span></div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>            std::vector&lt;std::string&gt; parents;</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>            transform(nodeParents.begin(), nodeParents.end(), back_inserter(parents), [](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; p) { <span class="keywordflow">return</span> p-&gt;getName(); });</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>            <span class="comment">// Remove class as parent as it will be added later</span></div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>            parents.erase(remove(parents.begin(), parents.end(), pClassName), parents.end());</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>            <span class="comment">// Get the indices of the parents</span></div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>            std::vector&lt;int&gt; indices;</div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>            indices.push_back(-1); <span class="comment">// Add class index</span></div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>            transform(parents.begin(), parents.end(), back_inserter(indices), [&amp;](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; p) {<span class="keywordflow">return</span> find(pFeatures.begin(), pFeatures.end(), p) - pFeatures.begin(); });</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>            <span class="comment">// Now we fit the discretizer of the feature, conditioned on its parents and the class i.e. discretizer.fit(X[index], X[indices] + y)</span></div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>            std::vector&lt;std::string&gt; yJoinParents(Xf.size(1));</div>
-<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> idx : indices) {</div>
-<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; Xf.size(1); ++i) {</div>
-<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>                    yJoinParents[i] += to_string(pDataset.index({ idx, i }).item&lt;<span class="keywordtype">int</span>&gt;());</div>
-<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>                }</div>
-<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            }</div>
-<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>            <span class="keyword">auto</span> yxv = factorize(yJoinParents);</div>
-<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>            <span class="keyword">auto</span> xvf_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</div>
-<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>            <span class="keyword">auto</span> xvf = std::vector&lt;mdlp::precision_t&gt;(xvf_ptr, xvf_ptr + Xf.size(1));</div>
-<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>            discretizers[feature]-&gt;fit(xvf, yxv);</div>
-<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>        }</div>
-<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>        <span class="keywordflow">if</span> (upgrade) {</div>
-<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>            <span class="comment">// Discretize again X (only the affected indices) with the new fitted discretizers</span></div>
-<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            <span class="keywordflow">for</span> (<span class="keyword">auto</span> index : indicesToReDiscretize) {</div>
-<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>                <span class="keyword">auto</span> Xt_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</div>
-<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>                <span class="keyword">auto</span> Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</div>
-<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>                pDataset.index_put_({ index, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(discretizers[pFeatures[index]]-&gt;transform(Xt)));</div>
-<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>                <span class="keyword">auto</span> xStates = std::vector&lt;int&gt;(discretizers[pFeatures[index]]-&gt;getCutPoints().size() + 1);</div>
-<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>                iota(xStates.begin(), xStates.end(), 0);</div>
-<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>                <span class="comment">//Update new states of the feature/node</span></div>
-<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>                states[pFeatures[index]] = xStates;</div>
-<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>            }</div>
-<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>            <span class="keyword">const</span> torch::Tensor weights = torch::full({ pDataset.size(1) }, 1.0 / pDataset.size(1), torch::kDouble);</div>
-<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>            model.fit(pDataset, weights, pFeatures, pClassName, states);</div>
-<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        }</div>
-<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        <span class="keywordflow">return</span> states;</div>
-<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>    }</div>
-<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::fit_local_discretization(<span class="keyword">const</span> torch::Tensor&amp; y)</div>
-<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    {</div>
-<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="comment">// Discretize the continuous input data and build pDataset (Classifier::dataset)</span></div>
-<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>        <span class="keywordtype">int</span> m = Xf.size(1);</div>
-<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordtype">int</span> n = Xf.size(0);</div>
-<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; states;</div>
-<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        pDataset = torch::zeros({ n + 1, m }, torch::kInt32);</div>
-<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keyword">auto</span> yv = std::vector&lt;int&gt;(y.data_ptr&lt;<span class="keywordtype">int</span>&gt;(), y.data_ptr&lt;<span class="keywordtype">int</span>&gt;() + y.size(0));</div>
-<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="comment">// discretize input data by feature(row)</span></div>
-<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; pFeatures.size(); ++i) {</div>
-<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            <span class="keyword">auto</span>* discretizer = <span class="keyword">new</span> mdlp::CPPFImdlp();</div>
-<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>            <span class="keyword">auto</span> Xt_ptr = Xf.index({ i }).data_ptr&lt;float&gt;();</div>
-<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            <span class="keyword">auto</span> Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</div>
-<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>            discretizer-&gt;fit(Xt, yv);</div>
-<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>            pDataset.index_put_({ i, <span class="stringliteral">&quot;...&quot;</span> }, torch::tensor(discretizer-&gt;transform(Xt)));</div>
-<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>            <span class="keyword">auto</span> xStates = std::vector&lt;int&gt;(discretizer-&gt;getCutPoints().size() + 1);</div>
-<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>            iota(xStates.begin(), xStates.end(), 0);</div>
-<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>            states[pFeatures[i]] = xStates;</div>
-<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>            discretizers[pFeatures[i]] = discretizer;</div>
-<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        }</div>
-<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordtype">int</span> n_classes = torch::max(y).item&lt;<span class="keywordtype">int</span>&gt;() + 1;</div>
-<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="keyword">auto</span> yStates = std::vector&lt;int&gt;(n_classes);</div>
-<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        iota(yStates.begin(), yStates.end(), 0);</div>
-<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        states[pClassName] = yStates;</div>
-<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>        pDataset.index_put_({ n, <span class="stringliteral">&quot;...&quot;</span> }, y);</div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keywordflow">return</span> states;</div>
-<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    }</div>
-<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    torch::Tensor Proposal::prepareX(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    {</div>
-<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        <span class="keyword">auto</span> Xtd = torch::zeros_like(X, torch::kInt32);</div>
-<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; X.size(0); ++i) {</div>
-<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            <span class="keyword">auto</span> Xt = std::vector&lt;float&gt;(X[i].data_ptr&lt;float&gt;(), X[i].data_ptr&lt;float&gt;() + X.size(1));</div>
-<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>            <span class="keyword">auto</span> Xd = discretizers[pFeatures[i]]-&gt;transform(Xt);</div>
-<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>            Xtd.index_put_({ i }, torch::tensor(Xd, torch::kInt32));</div>
-<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        }</div>
-<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        <span class="keywordflow">return</span> Xtd;</div>
-<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    }</div>
-<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    std::vector&lt;int&gt; Proposal::factorize(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; labels_t)</div>
-<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    {</div>
-<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>        std::vector&lt;int&gt; yy;</div>
-<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        yy.reserve(labels_t.size());</div>
-<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        std::map&lt;std::string, int&gt; labelMap;</div>
-<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keywordtype">int</span> i = 0;</div>
-<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string&amp; label : labels_t) {</div>
-<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>            <span class="keywordflow">if</span> (labelMap.find(label) == labelMap.end()) {</div>
-<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>                labelMap[label] = i++;</div>
-<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>                <span class="keywordtype">bool</span> allDigits = std::all_of(label.begin(), label.end(), ::isdigit);</div>
-<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>            }</div>
-<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>            yy.push_back(labelMap[label]);</div>
-<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        }</div>
-<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        <span class="keywordflow">return</span> yy;</div>
-<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>    }</div>
-<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Proposal.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_proposal_8h_source.html b/docs/manual/_proposal_8h_source.html
deleted file mode 100644
index dcce17b..0000000
--- a/docs/manual/_proposal_8h_source.html
+++ /dev/null
@@ -1,155 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/Proposal.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_proposal_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Proposal.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef PROPOSAL_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define PROPOSAL_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;string&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;map&gt;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;torch/torch.h&gt;</span></div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;CPPFImdlp.h&gt;</span></div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="preprocessor">#include &quot;bayesnet/network/Network.h&quot;</span></div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span> </div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00017" data-start="{" data-end="};">
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_proposal.html">   17</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a>(torch::Tensor&amp; pDataset, std::vector&lt;std::string&gt;&amp; features_, std::string&amp; className_);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">~Proposal</a>();</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keywordtype">void</span> checkInput(<span class="keyword">const</span> torch::Tensor&amp; X, <span class="keyword">const</span> torch::Tensor&amp; y);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        torch::Tensor prepareX(torch::Tensor&amp; X);</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; localDiscretizationProposal(<span class="keyword">const</span> map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, <a class="code hl_class" href="classbayesnet_1_1_network.html">Network</a>&amp; model);</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        map&lt;std::string, std::vector&lt;int&gt;&gt; fit_local_discretization(<span class="keyword">const</span> torch::Tensor&amp; y);</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        torch::Tensor Xf; <span class="comment">// X continuous nxm tensor</span></div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        torch::Tensor y; <span class="comment">// y discrete nx1 tensor</span></div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        map&lt;std::string, mdlp::CPPFImdlp*&gt; discretizers;</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        std::vector&lt;int&gt; factorize(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; labels_t);</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        torch::Tensor&amp; pDataset; <span class="comment">// (n+1)xm tensor</span></div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        std::vector&lt;std::string&gt;&amp; pFeatures;</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        std::string&amp; pClassName;</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    };</div>
-</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>}</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span> </div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#endif  </span></div>
-<div class="ttc" id="aclassbayesnet_1_1_network_html"><div class="ttname"><a href="classbayesnet_1_1_network.html">bayesnet::Network</a></div><div class="ttdef"><b>Definition</b> <a href="_network_8h_source.html#l00015">Network.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="#l00017">Proposal.h:17</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>Proposal.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_s_p_o_d_e_8cc_source.html b/docs/manual/_s_p_o_d_e_8cc_source.html
deleted file mode 100644
index 2e5c363..0000000
--- a/docs/manual/_s_p_o_d_e_8cc_source.html
+++ /dev/null
@@ -1,145 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODE.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_s_p_o_d_e_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">SPODE.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;SPODE.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    SPODE::SPODE(<span class="keywordtype">int</span> root) : Classifier(Network()), root(root) {}</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span> </div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keywordtype">void</span> SPODE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="comment">// 0. Add all nodes to the model</span></div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        addNodes();</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="comment">// 1. Add edges from the class node to all other nodes</span></div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="comment">// 2. Add edges from the root node to all other nodes</span></div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>            model.addEdge(className, features[i]);</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            <span class="keywordflow">if</span> (i != root) {</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>                model.addEdge(features[root], features[i]);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            }</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        }</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    }</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    std::vector&lt;std::string&gt; SPODE::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordflow">return</span> model.graph(name);</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    }</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span> </div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODE.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_s_p_o_d_e_8h_source.html b/docs/manual/_s_p_o_d_e_8h_source.html
deleted file mode 100644
index 681595b..0000000
--- a/docs/manual/_s_p_o_d_e_8h_source.html
+++ /dev/null
@@ -1,141 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODE.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_s_p_o_d_e_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">SPODE.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef SPODE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define SPODE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00012" data-start="{" data-end="};">
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_s_p_o_d_e.html">   12</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="keywordtype">int</span> root;</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a>(<span class="keywordtype">int</span> root);</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">~SPODE</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;SPODE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    };</div>
-</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>}</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_s_p_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00012">SPODE.h:12</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODE.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_s_p_o_d_e_ld_8cc_source.html b/docs/manual/_s_p_o_d_e_ld_8cc_source.html
deleted file mode 100644
index 1afe7a6..0000000
--- a/docs/manual/_s_p_o_d_e_ld_8cc_source.html
+++ /dev/null
@@ -1,164 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODELd.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_s_p_o_d_e_ld_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">SPODELd.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;SPODELd.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    SPODELd::SPODELd(<span class="keywordtype">int</span> root) : SPODE(root), Proposal(dataset, features, className) {}</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    SPODELd&amp; SPODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        checkInput(X_, y_);</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        Xf = X_;</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        y = y_;</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keywordflow">return</span> commonFit(features_, className_, states_);</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    }</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span> </div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    SPODELd&amp; SPODELd::fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    {</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keywordflow">if</span> (!torch::is_floating_point(dataset)) {</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Dataset must be a floating point tensor&quot;</span>);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        }</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        Xf = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), <span class="stringliteral">&quot;...&quot;</span> }).clone();</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        y = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> }).clone().to(torch::kInt32);</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordflow">return</span> commonFit(features_, className_, states_);</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    }</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span> </div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>    SPODELd&amp; SPODELd::commonFit(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>    {</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        features = features_;</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        className = className_;</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        states = fit_local_discretization(y);</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="comment">// We have discretized the input data</span></div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="comment">// 1st we need to fit the model to build the normal SPODE structure, SPODE::fit initializes the base Bayesian network</span></div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        SPODE::fit(dataset, features, className, states);</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>        states = localDiscretizationProposal(states, model);</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    }</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    torch::Tensor SPODELd::predict(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    {</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keyword">auto</span> Xt = prepareX(X);</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>        <span class="keywordflow">return</span> SPODE::predict(Xt);</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>    }</div>
-<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>    std::vector&lt;std::string&gt; SPODELd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>        <span class="keywordflow">return</span> SPODE::graph(name);</div>
-<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>    }</div>
-<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODELd.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_s_p_o_d_e_ld_8h_source.html b/docs/manual/_s_p_o_d_e_ld_8h_source.html
deleted file mode 100644
index 489c096..0000000
--- a/docs/manual/_s_p_o_d_e_ld_8h_source.html
+++ /dev/null
@@ -1,144 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPODELd.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_s_p_o_d_e_ld_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">SPODELd.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef SPODELD_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define SPODELD_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;SPODE.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_s_p_o_d_e_ld.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>(<span class="keywordtype">int</span> root);</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">~SPODELd</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>&amp; fit(torch::Tensor&amp; dataset, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <a class="code hl_class" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a>&amp; commonFit(<span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;SPODE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        <span class="keyword">static</span> <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span> <span class="stringliteral">&quot;0.0.1&quot;</span>; };</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    };</div>
-</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>}</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="preprocessor">#endif </span><span class="comment">// !SPODELD_H</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_s_p_o_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></div><div class="ttdef"><b>Definition</b> <a href="_s_p_o_d_e_8h_source.html#l00012">SPODE.h:12</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_s_p_o_d_e_ld_html"><div class="ttname"><a href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">SPODELd.h:13</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPODELd.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_s_pn_d_e_8cc_source.html b/docs/manual/_s_pn_d_e_8cc_source.html
deleted file mode 100644
index c5b2eff..0000000
--- a/docs/manual/_s_pn_d_e_8cc_source.html
+++ /dev/null
@@ -1,152 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPnDE.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_s_pn_d_e_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">SPnDE.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;SPnDE.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span> </div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    SPnDE::SPnDE(std::vector&lt;int&gt; parents) : Classifier(Network()), parents(parents) {}</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span> </div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keywordtype">void</span> SPnDE::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    {</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="comment">// 0. Add all nodes to the model</span></div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        addNodes();</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;int&gt; attributes;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>            <span class="keywordflow">if</span> (std::find(parents.begin(), parents.end(), i) == parents.end()) {</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>                attributes.push_back(i);</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            }</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        }</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        <span class="comment">// 1. Add edges from the class node to all other nodes</span></div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="comment">// 2. Add edges from the parents nodes to all other nodes</span></div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; attribute : attributes) {</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>            model.addEdge(className, features[attribute]);</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>            <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; root : parents) {</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span> </div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>                model.addEdge(features[root], features[attribute]);</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>            }</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        }</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    }</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>    std::vector&lt;std::string&gt; SPnDE::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        <span class="keywordflow">return</span> model.graph(name);</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    }</div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPnDE.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_s_pn_d_e_8h_source.html b/docs/manual/_s_pn_d_e_8h_source.html
deleted file mode 100644
index d2cfecf..0000000
--- a/docs/manual/_s_pn_d_e_8h_source.html
+++ /dev/null
@@ -1,144 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/SPnDE.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_s_pn_d_e_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">SPnDE.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef SPnDE_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define SPnDE_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_s_pn_d_e.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a>(std::vector&lt;int&gt; parents);</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_s_pn_d_e.html">~SPnDE</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;SPnDE&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        std::vector&lt;int&gt; parents;</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span> </div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span> </div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    };</div>
-</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>}</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_s_pn_d_e_html"><div class="ttname"><a href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">SPnDE.h:13</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>SPnDE.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_t_a_n_8cc_source.html b/docs/manual/_t_a_n_8cc_source.html
deleted file mode 100644
index 9a6f957..0000000
--- a/docs/manual/_t_a_n_8cc_source.html
+++ /dev/null
@@ -1,159 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TAN.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_t_a_n_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">TAN.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;TAN.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    TAN::TAN() : Classifier(Network()) {}</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="keywordtype">void</span> TAN::buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights)</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="comment">// 0. Add all nodes to the model</span></div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        addNodes();</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <span class="comment">// 1. Compute mutual information between each feature and the class and set the root node</span></div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="comment">// as the highest mutual information with the class</span></div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="keyword">auto</span> mi = std::vector &lt;std::pair&lt;int, float &gt;&gt;();</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        torch::Tensor class_dataset = dataset.index({ -1, <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>            torch::Tensor feature_dataset = dataset.index({ i, <span class="stringliteral">&quot;...&quot;</span> });</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            <span class="keyword">auto</span> mi_value = metrics.mutualInformation(class_dataset, feature_dataset, weights);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            mi.push_back({ i, mi_value });</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        }</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>        sort(mi.begin(), mi.end(), [](<span class="keyword">const</span> <span class="keyword">auto</span>&amp; left, <span class="keyword">const</span> <span class="keyword">auto</span>&amp; right) {return left.second &lt; right.second;});</div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keyword">auto</span> root = mi[mi.size() - 1].first;</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        <span class="comment">// 2. Compute mutual information between each feature and the class</span></div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keyword">auto</span> weights_matrix = metrics.conditionalEdge(weights);</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="comment">// 3. Compute the maximum spanning tree</span></div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keyword">auto</span> mst = metrics.maximumSpanningTree(features, weights_matrix, root);</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>        <span class="comment">// 4. Add edges from the maximum spanning tree to the model</span></div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = 0; i &lt; mst.size(); ++i) {</div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>            <span class="keyword">auto</span> [from, to] = mst[i];</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>            model.addEdge(features[from], features[to]);</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>        }</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>        <span class="comment">// 5. Add edges from the class to all features</span></div>
-<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>        <span class="keywordflow">for</span> (<span class="keyword">auto</span> feature : features) {</div>
-<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>            model.addEdge(className, feature);</div>
-<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>        }</div>
-<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    }</div>
-<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    std::vector&lt;std::string&gt; TAN::graph(<span class="keyword">const</span> std::string&amp; title)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>        <span class="keywordflow">return</span> model.graph(title);</div>
-<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    }</div>
-<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TAN.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_t_a_n_8h_source.html b/docs/manual/_t_a_n_8h_source.html
deleted file mode 100644
index f8621f6..0000000
--- a/docs/manual/_t_a_n_8h_source.html
+++ /dev/null
@@ -1,139 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TAN.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_t_a_n_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">TAN.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef TAN_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define TAN_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;Classifier.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00011" data-start="{" data-end="};">
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_t_a_n.html">   11</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">TAN</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_classifier.html">Classifier</a> {</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <span class="keyword">protected</span>:</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor&amp; weights) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">TAN</a>();</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">~TAN</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;TAN&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    };</div>
-</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>}</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="preprocessor">#endif</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_classifier_html"><div class="ttname"><a href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></div><div class="ttdef"><b>Definition</b> <a href="_classifier_8h_source.html#l00015">Classifier.h:15</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_t_a_n_html"><div class="ttname"><a href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></div><div class="ttdef"><b>Definition</b> <a href="#l00011">TAN.h:11</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TAN.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_t_a_n_ld_8cc_source.html b/docs/manual/_t_a_n_ld_8cc_source.html
deleted file mode 100644
index 9c8daf3..0000000
--- a/docs/manual/_t_a_n_ld_8cc_source.html
+++ /dev/null
@@ -1,150 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TANLd.cc Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_t_a_n_ld_8cc_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">TANLd.cc</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &quot;TANLd.h&quot;</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span>    TANLd::TANLd() : TAN(), Proposal(dataset, features, className) {}</div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>    TANLd&amp; TANLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features_, <span class="keyword">const</span> std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    {</div>
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>        checkInput(X_, y_);</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        features = features_;</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        className = className_;</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        Xf = X_;</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        y = y_;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <span class="comment">// Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span></div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        states = fit_local_discretization(y);</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        <span class="comment">// We have discretized the input data</span></div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="comment">// 1st we need to fit the model to build the normal TAN structure, TAN::fit initializes the base Bayesian network</span></div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>        TAN::fit(dataset, features, className, states);</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>        states = localDiscretizationProposal(states, model);</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span> </div>
-<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>    }</div>
-<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    torch::Tensor TANLd::predict(torch::Tensor&amp; X)</div>
-<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>    {</div>
-<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keyword">auto</span> Xt = prepareX(X);</div>
-<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        <span class="keywordflow">return</span> TAN::predict(Xt);</div>
-<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>    }</div>
-<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>    std::vector&lt;std::string&gt; TANLd::graph(<span class="keyword">const</span> std::string&amp; name)<span class="keyword"> const</span></div>
-<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="keyword">    </span>{</div>
-<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        <span class="keywordflow">return</span> TAN::graph(name);</div>
-<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    }</div>
-<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>}</div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TANLd.cc</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/_t_a_n_ld_8h_source.html b/docs/manual/_t_a_n_ld_8h_source.html
deleted file mode 100644
index 59cbc7b..0000000
--- a/docs/manual/_t_a_n_ld_8h_source.html
+++ /dev/null
@@ -1,143 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TANLd.h Source File</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('_t_a_n_ld_8h_source.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">TANLd.h</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
-<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
-<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
-<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment">// ***************************************************************</span></div>
-<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
-<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#ifndef TANLD_H</span></div>
-<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#define TANLD_H</span></div>
-<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &quot;TAN.h&quot;</span></div>
-<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &quot;Proposal.h&quot;</span></div>
-<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span> </div>
-<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="keyword">namespace </span>bayesnet {</div>
-<div class="foldopen" id="foldopen00013" data-start="{" data-end="};">
-<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_t_a_n_ld.html">   13</a></span>    <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_t_a_n.html">TAN</a>, <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_proposal.html">Proposal</a> {</div>
-<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <span class="keyword">private</span>:</div>
-<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>    <span class="keyword">public</span>:</div>
-<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        <a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a>();</div>
-<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">~TANLd</a>() = <span class="keywordflow">default</span>;</div>
-<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>        <a class="code hl_class" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a>&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, <span class="keyword">const</span> std::vector&lt;std::string&gt;&amp; features, <span class="keyword">const</span> std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>        std::vector&lt;std::string&gt; graph(<span class="keyword">const</span> std::string&amp; name = <span class="stringliteral">&quot;TAN&quot;</span>) <span class="keyword">const override</span>;</div>
-<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>        torch::Tensor predict(torch::Tensor&amp; X) <span class="keyword">override</span>;</div>
-<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        <span class="keyword">static</span> <span class="keyword">inline</span> std::string version() { <span class="keywordflow">return</span> <span class="stringliteral">&quot;0.0.1&quot;</span>; };</div>
-<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    };</div>
-</div>
-<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>}</div>
-<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="preprocessor">#endif </span><span class="comment">// !TANLD_H</span></div>
-<div class="ttc" id="aclassbayesnet_1_1_proposal_html"><div class="ttname"><a href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></div><div class="ttdef"><b>Definition</b> <a href="_proposal_8h_source.html#l00017">Proposal.h:17</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_t_a_n_html"><div class="ttname"><a href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></div><div class="ttdef"><b>Definition</b> <a href="_t_a_n_8h_source.html#l00011">TAN.h:11</a></div></div>
-<div class="ttc" id="aclassbayesnet_1_1_t_a_n_ld_html"><div class="ttname"><a href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></div><div class="ttdef"><b>Definition</b> <a href="#l00013">TANLd.h:13</a></div></div>
-</div><!-- fragment --></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li><li class="navelem"><b>TANLd.h</b></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/annotated.html b/docs/manual/annotated.html
deleted file mode 100644
index 13be465..0000000
--- a/docs/manual/annotated.html
+++ /dev/null
@@ -1,137 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Class List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('annotated.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Class List</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="textblock">Here are the classes, structs, unions and interfaces with brief descriptions:</div><div class="directory">
-<div class="levels">[detail level <span onclick="javascript:dynsection.toggleLevel(1);">1</span><span onclick="javascript:dynsection.toggleLevel(2);">2</span>]</div><table class="directory">
-<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="dynsection.toggleFolder('0_')">&#9660;</span><span class="icona"><span class="icon">N</span></span><b>bayesnet</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a2_d_e.html" target="_self">A2DE</a></td><td class="desc"></td></tr>
-<tr id="row_0_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e.html" target="_self">AODE</a></td><td class="desc"></td></tr>
-<tr id="row_0_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html" target="_self">AODELd</a></td><td class="desc"></td></tr>
-<tr id="row_0_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_base_classifier.html" target="_self">BaseClassifier</a></td><td class="desc"></td></tr>
-<tr id="row_0_4_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost.html" target="_self">Boost</a></td><td class="desc"></td></tr>
-<tr id="row_0_5_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html" target="_self">BoostA2DE</a></td><td class="desc"></td></tr>
-<tr id="row_0_6_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html" target="_self">BoostAODE</a></td><td class="desc"></td></tr>
-<tr id="row_0_7_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_classifier.html" target="_self">Classifier</a></td><td class="desc"></td></tr>
-<tr id="row_0_8_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_ensemble.html" target="_self">Ensemble</a></td><td class="desc"></td></tr>
-<tr id="row_0_9_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b.html" target="_self">KDB</a></td><td class="desc"></td></tr>
-<tr id="row_0_10_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b_ld.html" target="_self">KDBLd</a></td><td class="desc"></td></tr>
-<tr id="row_0_11_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_network.html" target="_self">Network</a></td><td class="desc"></td></tr>
-<tr id="row_0_12_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_node.html" target="_self">Node</a></td><td class="desc"></td></tr>
-<tr id="row_0_13_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_proposal.html" target="_self">Proposal</a></td><td class="desc"></td></tr>
-<tr id="row_0_14_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_pn_d_e.html" target="_self">SPnDE</a></td><td class="desc"></td></tr>
-<tr id="row_0_15_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html" target="_self">SPODE</a></td><td class="desc"></td></tr>
-<tr id="row_0_16_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html" target="_self">SPODELd</a></td><td class="desc"></td></tr>
-<tr id="row_0_17_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n.html" target="_self">TAN</a></td><td class="desc"></td></tr>
-<tr id="row_0_18_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n_ld.html" target="_self">TANLd</a></td><td class="desc"></td></tr>
-</table>
-</div><!-- directory -->
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/annotated_dup.js b/docs/manual/annotated_dup.js
deleted file mode 100644
index 6c6009f..0000000
--- a/docs/manual/annotated_dup.js
+++ /dev/null
@@ -1,24 +0,0 @@
-var annotated_dup =
-[
-    [ "bayesnet", null, [
-      [ "A2DE", "classbayesnet_1_1_a2_d_e.html", null ],
-      [ "AODE", "classbayesnet_1_1_a_o_d_e.html", null ],
-      [ "AODELd", "classbayesnet_1_1_a_o_d_e_ld.html", null ],
-      [ "BaseClassifier", "classbayesnet_1_1_base_classifier.html", null ],
-      [ "Boost", "classbayesnet_1_1_boost.html", null ],
-      [ "BoostA2DE", "classbayesnet_1_1_boost_a2_d_e.html", null ],
-      [ "BoostAODE", "classbayesnet_1_1_boost_a_o_d_e.html", null ],
-      [ "Classifier", "classbayesnet_1_1_classifier.html", null ],
-      [ "Ensemble", "classbayesnet_1_1_ensemble.html", null ],
-      [ "KDB", "classbayesnet_1_1_k_d_b.html", null ],
-      [ "KDBLd", "classbayesnet_1_1_k_d_b_ld.html", null ],
-      [ "Network", "classbayesnet_1_1_network.html", null ],
-      [ "Node", "classbayesnet_1_1_node.html", null ],
-      [ "Proposal", "classbayesnet_1_1_proposal.html", null ],
-      [ "SPnDE", "classbayesnet_1_1_s_pn_d_e.html", null ],
-      [ "SPODE", "classbayesnet_1_1_s_p_o_d_e.html", null ],
-      [ "SPODELd", "classbayesnet_1_1_s_p_o_d_e_ld.html", null ],
-      [ "TAN", "classbayesnet_1_1_t_a_n.html", null ],
-      [ "TANLd", "classbayesnet_1_1_t_a_n_ld.html", null ]
-    ] ]
-];
\ No newline at end of file
diff --git a/docs/manual/bc_s.png b/docs/manual/bc_s.png
deleted file mode 100644
index 224b29aa9847d5a4b3902efd602b7ddf7d33e6c2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 676
zcmV;V0$crwP)<h;3K|Lk000e1NJLTq000O80015c1^@s65rAI}0007ONkl<ZcmeI5
z%WD%+6voe;xyj6=NhXt~4{e$zF*P<SZp4L@2Hd!iQY<tJD@e5{RU55hl&Talf{KWb
zN*6A=C`Gqz5#NvcXzNOCOH(I9n<#?l<k5ws2omoMCgj%s3y1G=&gJ~>y__>=_9%My
z{n931IS})GlGUF8K#6VIbs%684A^L3@%PlP2>_sk`UWPq@f;rU*V%rPy_ekbhXT&s
z(GN{DxFv}*vZp`F>S!r||M`I*nOwwKX+BC~3P5N3-)Y{65c;ywYiAh-1*hZcToLHK
ztpl1xomJ+Yb}K(cfbJr2=GNOnT!UFA7Vy~fBz8?J>XHsbZoDad^8PxfSa0GDgENZS
zuLCEqzb*xWX2CG*b&5IiO#NzrW*;`VC9455M`o1NBh+(k8~`XCEEoC1Ybwf;vr4K3
zg|EB<07?SOqHp9DhLpS&bzgo70I+ghB_#)K7H%AMU3v}xuyQq9&Bm~++VYhF09a+U
zl7>n7Jjm$K#b*FONz~fj;I->Bf;ule1prFN9FovcDGBkpg>)O*-}eLnC{6oZHZ$o%
zXKW$;0_{8hxHQ>l;_*HATI(`7t#^{$(zLe}h*mqwOc*nRY9=?Sx4OOeVIfI|0V(V2
zBrW#G7Ss9wvzr@>H*`r>zE<Gz)cj&*s5lRy$b&*W@2j<GZEpXZ$P|Z!4Q$_|`5gj>
z+e8bOBgqIgldUJlG(YUDviMB`9+DH8n-s9SXRLyJHO1!=wY^79WYZMTa(wiZ!zP66
zA~!21vmF3H2{ngD;+`6j#~6j;$*f*G_2ZD1E;9(yaw7d-QnSCpK(cR1zU3qU0000<
KMNUMnLSTYoA~SLT

diff --git a/docs/manual/bc_sd.png b/docs/manual/bc_sd.png
deleted file mode 100644
index 31ca888dc71049713b35c351933a8d0f36180bf1..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 635
zcmV->0)+jEP)<h;3K|Lk000e1NJLTq000O80015c1^@s65rAI}0006)Nkl<ZcmeI5
z%WD%+6vn?hGsz_BG}An0CMId~a1z?2@1!l&KD1&hN-bD~LQoLFg%1h=btAfQrT8}#
z3Wb7hbmdl%7_p+bkU-OdEt;+haU+O==ZX_E^FIvdH|INN4tMUkkG+_kSV4Z~DiQ-{
z;P(0visfy<EG{=E&fjlNuRPJr;xe4DqlF9WF1aJGbq{R<c>Jwi0r1~gdSq#w{Bu1q
z`craw(p2!<S-^e8ry2oOOW$qO-@LFDq=px{zr>hu$4C_$Oc3X(sI6e=9QSTwPt{G)
z=htT&^~&c~L2~e{r5_5SYe7#Is-$ln>~Kd<Pyf6{jQBpfP;O2vJy5MYx^t)6*`&7L
zk1yW4Y2_GywLP=M2DSV{5Z#%B-6~kD_XGf&edtglet$T5qp?$c$)cGl05-eEMCrPb
z82v&mFR>%$F#tC65?{LvQ}8O`A~RBB0N~`2M+waajO;5>3B&-viHGJeEK2TQOiPRa
zfDKyqwMc4wfaEh4jt>H`nW_Zidwk@Bowp`}(VUaj-pSI(-1L>FJVsX}Yl9~JsqgsZ
zUD9(rMwf23Gez6KPa|wwInZodP-2}9@fK0Ga_9{8SOjU&4l`pH4@qlQp83>>HT$xW
zER^U>)MyV%t(Lu=`d=Y?{k1@}&r7ZGkFQ%z%N+sE9BtYjovzxyxCPxN6&@wLK{soQ
zSmkj$aLI}miuE^p@~4}mg9OjDfGEkgY4~^XzLRUBB*O{+&vq<3v(E%+k_i%=`~j%{
Vj14gnt9}3g002ovPDHLkV1n!oC4m3{

diff --git a/docs/manual/classbayesnet_1_1_a2_d_e-members.html b/docs/manual/classbayesnet_1_1_a2_d_e-members.html
deleted file mode 100644
index 35b3392..0000000
--- a/docs/manual/classbayesnet_1_1_a2_d_e-members.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_a2_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::A2DE Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>A2DE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;A2DE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~A2DE</b>() (defined in <a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a2_d_e.html">bayesnet::A2DE</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e.html b/docs/manual/classbayesnet_1_1_a2_d_e.html
deleted file mode 100644
index d883239..0000000
--- a/docs/manual/classbayesnet_1_1_a2_d_e.html
+++ /dev/null
@@ -1,420 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::A2DE Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_a2_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_a2_d_e-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::A2DE Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::A2DE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_a2_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_a2_d_e_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_a2_d_e_inherit__map" id="abayesnet_1_1_a2_d_e_inherit__map">
-<area shape="rect" title=" " alt="" coords="30,226,148,252"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::A2DE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_a2_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_a2_d_e_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_a2_d_e_coll__map" id="abayesnet_1_1_a2_d_e_coll__map">
-<area shape="rect" title=" " alt="" coords="117,241,234,267"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:adffd540de8df913d8577bfd247dd767a" id="r_adffd540de8df913d8577bfd247dd767a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#adffd540de8df913d8577bfd247dd767a">A2DE</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:adffd540de8df913d8577bfd247dd767a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aec90b799ca3afb27d47f705268da6e01" id="r_aec90b799ca3afb27d47f705268da6e01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aec90b799ca3afb27d47f705268da6e01">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:aec90b799ca3afb27d47f705268da6e01"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a269c337eca7712cfe7b210178ac7587d" id="r_a269c337eca7712cfe7b210178ac7587d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a269c337eca7712cfe7b210178ac7587d">graph</a> (const std::string &amp;title=&quot;A2DE&quot;) const override</td></tr>
-<tr class="separator:a269c337eca7712cfe7b210178ac7587d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a9f58a4c332782c592effd79e04204503" id="r_a9f58a4c332782c592effd79e04204503"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9f58a4c332782c592effd79e04204503">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a9f58a4c332782c592effd79e04204503"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_a2_d_e_8h_source.html#l00012">12</a> of file <a class="el" href="_a2_d_e_8h_source.html">A2DE.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="adffd540de8df913d8577bfd247dd767a" name="adffd540de8df913d8577bfd247dd767a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#adffd540de8df913d8577bfd247dd767a">&#9670;&#160;</a></span>A2DE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::A2DE::A2DE </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00010">10</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
-
-</div>
-</div>
-<a id="ac7663da702c7027c8372ad17f9aa677c" name="ac7663da702c7027c8372ad17f9aa677c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ac7663da702c7027c8372ad17f9aa677c">&#9670;&#160;</a></span>~A2DE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">virtual bayesnet::A2DE::~A2DE </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_a2_d_e_8h_source.html#l00015">15</a> of file <a class="el" href="_a2_d_e_8h_source.html">A2DE.h</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a9f58a4c332782c592effd79e04204503" name="a9f58a4c332782c592effd79e04204503"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9f58a4c332782c592effd79e04204503">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::A2DE::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00023">23</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
-
-</div>
-</div>
-<a id="a269c337eca7712cfe7b210178ac7587d" name="a269c337eca7712cfe7b210178ac7587d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a269c337eca7712cfe7b210178ac7587d">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::A2DE::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;A2DE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00036">36</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
-
-</div>
-</div>
-<a id="aec90b799ca3afb27d47f705268da6e01" name="aec90b799ca3afb27d47f705268da6e01"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aec90b799ca3afb27d47f705268da6e01">&#9670;&#160;</a></span>setHyperparameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::A2DE::setHyperparameters </td>
-          <td>(</td>
-          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a2_d_e_8cc_source.html#l00014">14</a> of file <a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a2_d_e_8h_source.html">A2DE.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a2_d_e_8cc_source.html">A2DE.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_a2_d_e.html">A2DE</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map
deleted file mode 100644
index 2ed4963..0000000
--- a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::A2DE" name="bayesnet::A2DE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="117,241,234,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5
deleted file mode 100644
index e47884e..0000000
--- a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-1a9d8b8ca8faca87b7939271324f2f54
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_a2_d_e__coll__graph.png
deleted file mode 100644
index 306367d63bc5ae01d9bbc82dd3b2727c7319fd4c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 13836
zcmc(mbzD|mwC4{Y-O?h6AV`CRfP^AQhom4Ng3=(}DF{kSONW3+3rM%1NJ~jbN`rI@
z%zEy9@7z0eXFl`C%;)tr_?+iF`|Q2;UcdESzw<^-MV1hc77sxXLU}o9bp%0EhW|-$
zu;3>GGb|hM2bQs-tTb|g`Y)p)F9t!bA@b7qG~H4*etGI^I-g5!jhY!%%VqezbmbG^
zjP6#9O^6bF5gVIZm|Mwiv@xDE%)=3S%dzW|jZI~vh2i&Sf`VKeuN1z<c1!beDeA~D
z@{(W%KIG<iG;ER#(<Pyyz8utbdhFIcKP$q&E3(-qVrH0joWhTN7l$#BMCza4l8Bs-
z2?ARB-~GNTOU@*1a5Lv1C^*<`M0Vni>z}ZXkuEZW?*~_Wu8KM>yT&bvJUPD}jS;8L
zAgHe^^)vW)I-2!|$j{HGsp8&FVj4*;xDQK}xAte=U#p{MT>oq}TI}(pL;3bEOi9Tm
zk0%l4lM!?xFDEA_Eq9%XKFHuOCUN2_GX|Ch1m==R{k$iofy20dEt4&f#3ibqTngvT
z-`RdK_Z{ZN?stw{mKL`Jl-t(F$_vB{eU2BfYUr?#-qbt6OX<G!*|L!j9zCKq?M->J
zx97CByVRHd6|Q`!uCC70)z{U9`q)ElZ7f9C`$S-FZm!gR{=xc06>%sPPjSM6kPw&s
zG`1gWx)<4I<Ed@s@!CjHn=FH1M3;VfdHI^n1Pr6Qx3?on(5hI5i->}b4(3ZOZ`3j=
zsA|dsf2lXM&3V)S+tt;TPQr_Nc6L^0@?CKblWfGy$m197e}2`G($KuIpYNE3p+2y)
z<0WE{AV7F&!`;@3stPk*isItp7;oITl$48x7#kZ$rKE&iv8_gPcXt=|*fVe7tSYm3
zb1H%SJ)OSj=zhn)eRepl^X_6H;mO=uNmFsc^KlMINro3qXD$sD-pWmBR1_4me~)){
zy#7qqI9{`GO@8(2)d;cK^Q2tHJ9p|j4s|&x$tfvEYI^?u^@>eMn9zFc<Rn1J`N&V_
zi8sZS+qPe-?dMA^hd)}D6y$GK?$0VXpKrYIZ7Zsp3Nfg2nJw`><DmCk=c6XT+FKhX
zRu$V0?C~hcjo=U;&DUUsdB*<p=MUo7-L0gQEJRo}>45*IW+{#1{OiL(7fin&Kh$I6
z<Hrjd%B(C-&mk}ZgBg6NP0MRWMhy#|YhQ!q+oNrgkBg5VnLxv^3zr(S7Gh#y!8$)b
z-#R$xfT0-)(4rx4-n>~JE}(k(^5x9t=8H2U)kI#jva&L*@#X$Z42kn26XdR?CA)3o
zv8mJgPtwN5#@C^t<$v5DE@Th?{30bM4^&ANWn^Q+ZO$oCG&D4PRO`exUTKB><jE5P
znp>DMGBQFF>w|g34h{}>n+=C^Fy+_?r(Ok4TM%LSi0koQT%r<-zVF%o$V$?QZ2|G;
zRWXO(I4+x0;qJSO_wovAS4N5rLLs1bLYxh3t_q5~t`4zPSPWu4$R>UI^r^7@9Hy~}
z$@XIMi@7#p$uC>8ZB`py@A%DT78iqt3v{wI@>B?gD(s6YhrCe>-7!{fW<%6I<oquC
zL3nE@Pa_Ue?Y4bgOkAAL^^d;Q9fMk@ma1tVeB@{@lm})cvcF#q^=*;j2h^ODij`+<
zA|f>kT=w?%I7CDbw6(PjgbKV}{!G$5=cRt6BQGzH*_@b2y|}Qz$Hw*s4Gk?UG?YpH
zU}GX-ZL}mW*P{FT_pH1;Rt<Ia>Zfg3Cr3x6_4O&t?-CQ`czAf?V`EFJs}tdPn8D|%
zZ^ozM<`oxD{Z;3>^yzt*+uRpi4^PkX($c7fg$4a;J4S3GI=N^ucz!fqcJ`15*>5{L
zJNFI`mmmzx%ax<8ryIpDlaUpkDagsqTzOG%-)<4pDUGCvx!;0q)|Hp;lXN)c$#Zsg
z=6<yGbj{OpwXR6w=SRoET;-t^rx9oE7zjLcqkH#Sv_>B$?Cb06D@7CF;myHPNJZ<H
z8DD~Za-esr{%}6yUO-}0RC9E6wCKhQtN{OgcMZaTmgba{6w%=yWQX3-PA)FFEk-jP
z;a65>XIlpIRAZR)R8qeuCMN1toh@{Eo$Zf`Jo`ox{d@F@Z;y779-n|fEc5Yvq~s^%
zWFdifO5NSv@9XOBNS?0qM?cfnrmS<_?1kf^VEjBbDd{_W;4O2y`y$PhT^k`>S~%!Z
zv^A(IIbg(VU0Btxq^MZl>v^)0Ct}o$=y6igi+jW-<?^wz2E$NoCO$v+@)A>2P*`4A
zcy3@1k)I-DLo4sFF<!a1zyJK+J+$x#Oz;aeWp9~ecaFB_o$T#rvt&Zu7Q1OIlR97<
zMqf<WvkP69kGOg#zEAuxrALTo`gLVKP7gM{n_r*ADJN=h5_|pk_jY&Z3w6uoewa?%
z?6+vAZf|c}4}YXkW{K%JVGmv$9zo6XWApJ<MVWAT#^OQIl78y@<u^7?e_u$&Ff%bR
zxx@XV3TcxLICo(IvkD40VCd9TR9|6LqKk`*Ioa9g=GsGPC@5s2z2?JjQ<IRW<;2%G
zE;+z<9zMu}leAQ;K-+6IKW}+urIX*Rcc{jf!V<5?YG=RR<ZHz8R70J!C^Iu=O-)Vz
ziqp~FpeiW|i63kNPQ!X?6%`c(xqbU~7=t8zvXIToG3$<auE)I3zmp?(_4H`N9x!<v
z{s}j1@W|9DF?>{RN*JrYJdlkoaWsQr{j(G;Rn%EZP7dd@&4hMN+V|U!?Oa`D-Q8<?
zgi5rntvL<d7bxmaRtt`10*IqxV*_CqUeVRn6*~QwLjfYMwLO$-`<LsqR>4Bk#TgHr
zvuZZ$>y~RDx;%=N4MyBIry4da%gZeCPkmmYK0NKU8}4kL`BJ=#fQTrlsY$Z&;@oq6
zyb}NLmn*}`-b%px_sr`*%P>euNfB;?98y|Zy@dwYvPT<L(}ja^hk20Fj86|X)D#Q`
zV^jpE7QWG&^`*V)eD>0?1RMFg)keHLUdf@Zp+QPT75w}6v%tVW1VP8ZDB4WE^&BrN
zE6eWU?6B?EuU{T!HzXw`kB*M6F)_8(M)#$Ohr-^Tfibqtv;^?k&q@DYTr?j0^xW<D
zTUlPqp_^89abHi_rM_q<k1DhiCCA4H!Cs>M*NK1_3V;&?CNYTdevqc_0W9}JJv}{}
zyoyRf>*0rw9z9y~DDFD>u<88AoXdN9bFzm2d^^(DXrxfL`s`q0c7EPbt1ImF>$}Fr
z*L_Y_SSMX3Y^v9a>q<?&5}|Sqhjt-?RM<>VdLFFj?=*(&d*9&Z=Kfi3MlA7n>%Q2*
zPZMfBW6bf-HmAX-UOg(9S_C)@qE0x;w_kL8d2{(~S{l)d7cVd`T|z@XTaUf0s1R7|
zAi&2DNKU?z=CvcQlqNP-+aeoA?f>#6`j@X?1DJ2!x<x`t>c77>$^@DF?c2BC`ub$+
zTsGi`59f8qzFSw~A|4G>qUJ;hEJj<c^O|J}mfz&0{<G)L896xcCqCP>1>#=rZ}j#g
zpcVM`&(@-+r+0&6WxMyzrqS+V5AQprn>;*USBDGA92OM1)5Poano2%L6d3d!6z(o&
z<or2}>q!y0oO;K#19p<bFlvID>oyxh&(BWV+S@NdvT6&V;OH+mQ(bHM20<9k;QN;}
z-TQ#XPtk0q>1YmLDMffY#98FdooqO>5=9(YV4y)?={*ZaoSn6bO_j<YSJ}c%GawF~
zMX$1|rgiV^I3y{t1igAy24a8!2WRHJe2lP32Z76Se~akNJ7&Ff=rd&|Uq4n{VPH@t
zCMI@S`SHr5Aq^7Rb6s7U9#ej7LRx7mDyoCc>2!a8fBi-;k<N?oHO;WysNZm_qah8|
zG3yv+7^r=1U7aJGXv{p}ag%QI;Ug~Wsybm7+CH$%@gVpXx97hWmE`AduB@yG9%OzN
z6;z%F-LvxNj|$wswzl?1Utc6__)m>ZJBj}sQxl1~MUDDCpFS4TP9&NtP8@cAG)bZ$
zx+*GdW@fgQnA^}LKpXDl?7YBHQZE(F$;FieC-@Vu?RNGq-3oKk)YMcOYHC#0gQ#j7
ziIIl=7Q)wq2RY2i!C{W-iPyt5mm;+ntS{NSy1VP=h#>9fvok~#7IIo9J&4x-^bEJH
zt*zvzVY_bg6W_DS?_SD-M_oKkTd<=>Tvk8k3d!r;U)1}E(p_-UGV7|Vx84sX+Wy@c
z<E)3Rqw$qNx9?!Doj#mRfFs7cX*OP0O|ALt^pKy2XHzfsQ8pH?vL`t?xg8uTuqjxp
zY=7x(c3tkdZ$hZ-`K@tUU}$Y@w*Z3GU$@+Jc0iV)J(16ZPAiCnQ03q(cOxl9yor{P
zk#V?qoGR-^ly{Rw%;Pp(#=xu00<TC~iO7<qaGnO!eiewM6ZsM4j5A>V%+%Cyd($8^
zK4+)>Fis0!IaTG5qf`0Qps-5($VgT8_bwg0gXzGsOK>PRjhO5vTb`5(XyxRk*6%fP
z+V2c0MHJ`cGwN<UAol%Bbvl=noYp*s&}-x2r+RItFPz1#ueaKEom|Dy(saDHaA)3V
zx+S7GuO_PBI?&XsLz`0E=h6(uEB+9-1us%<n=tkLU0Gl0@*TtJSjl_&!qNB9?ygkS
znGh3{Zc=JxJs?X8*K|Tp$0{Yk%m}#j#T_Y0usmuy!Wph_lnjv!%kbD72{4JB!^b>9
z69^Dxy?IWZJYE&~GCDKON?NM??Mbr#D9H57ch^GP@p$jIyhq!#Fs(m1|MhWElAK8|
z&^@ErdwQtOxmgnDKwFIxQ9&{g%aD0`m6Z#5t{$8_a^^zDgO`u9BHYpv(n~dX{rf+Z
zhBaR)ko|Zf#&?}Ildwfrzqc+{`MpYV-UoDnmkL@nfod3bJ4%+*hPxT-b$RKf@>1ob
z$=ei<ttg+7RTl>(B*wl(FEt!2H5xW|E@WK0O!z|i8)Kw;0~=Oz`FqPeZttK1--vvH
zoTIzemQ5Yo!QYZeYpNSaA4}+`VsE{;IplPpuiE<VOL|;u-vF+@<UaoA7vE@Q+OB<w
zKfJSL{jOXDzghC$LJ7CGPYHFRrr0mht>3v=JQbH<0e*ARQU;U`?c5S4Cx5-;_bkOG
zs#Q8bT}@N-D~@5FK<Y+c5xSEmkBm*&N1G;6oqI5WkFRDrpw*kqn_pHdMSf~(hFR<`
zb{=UtQY4SRD1RA}m6fYDPs||4%Tcg@d?8?N&-FUc^s-Tz5$U7(;4fKzTn74E%^f#y
z$Wr#`!{hX1obcn0lq#yB@$^kl*xD|S>*3+{u*{s*X$kos`hAp5u6L?<YJY3K(tTDz
zf|)BYxt$G7tw~=L`;njsZi<b@;(@;jyA=(yKr#+{{lV$G9mT;w8MJitqwnj1C0Uo<
zk}<k26F$>z!YEQm?RlKJjQx@I-j?r^VGFda$PY{{3q)L>-o^A=U)PS*Y_e>|R%jt;
zMmJKV(or(cne{=JN62mnCszqF28)poFCn(MbEP!cr;YMg8JLGRpNMMuhw2RA$&QXq
z%9{%@_EOe=B*nu^cXDof?>_szo>?l6f@;=>#1run;d+}HQLLfwX(dJE9xJLVflX34
zXwim>DkelM<;R7jn%C<g3r&4t8y&a&07aVvc%Y~S($)9qxz6@2U%s0pUdh&Uf5_K?
zar8izxx;#XgNRc@-(;j&vtB-LFsPl5dP`$r$?W|>Xs}B1vh9ziwGXt9$&O{z_-{SM
zFsQFDMQc{ec{&t=Q`t8l_(t;22HNSwT2JrVhr#m`JB5pE*pN9e4W>TCy^#pPsK8`{
zsFe5oa#EnV3XCN4drSUnPwg=6Iy!?GlAc$Aru>5Q$o{y9m$Y#pW**6CL<){&Zv3H6
z?(Pzwf3r5bmxQ?gY(%mA>&3fL<unu2Ih^e>ZY0flct>I^Z+#t{l(S4X_axREJU+Da
z3^?OVz<1PyKm4w)85m4n_UelnSxWd|$en`|;Wgza$$eFZbIW>xHe^X$5IN69o`f~s
zeaio)FRRKiG24plVpnCeZHm)T8MA++b8P2h_8RGDdGpUCSF&Ssmc??Vp7N7_R#BZX
zfZ^!lDK$*(-9VExW99Pl*zpsP9c8wTDPQ914kUEi*=e=R;iYeG;CS${gw8-iv2t}}
z$i=k11g%2bbZP5nTU82b;4UzXez@Fn<CPZXd7%dN#gyEBO}3S#g%5G}RivKw7O(5Z
zxS%|n79}O+=bGG6ul-@2BFH#T9GsoKU1pm7ZxBAz(YXGk?{Nk^vO^=z;Jw1p*UAHL
z=wQC}XhY{Tk)o7T&ik}SIF7s)r&E}sseeRshD@G6e_l+erKxc}b4&_O$$0K*6H!0s
zs2OWJzI^ZL{+jq-LgL3l$-X{gM!dqCzv@OCj6Fb}6hn<opU@QXe!R>?w(5IH(R#B#
zMv*mVHlcjyOVQ|(C9bRa#$?+>{wvHZg|tPVMQh*3+kTC>>JNHb7Wsmfh|wJIyD3hc
z5{bmHd#G^s<k6#_(`ZIelDMup)ecwhRrNNY)q`9cV+Ga839PAJCvUI;znSVTo}WG<
z8w^?542pGcLFLC7Gakruh5Q`XDfcCOxN?2@_wQKwA9uvW>Pu%w@6NMa)Kxes*tg65
zC2Us6Ddl7FKNPKHMnmi_^(X%hSIC!*RaeDWE*f3KK*Cs#KeQN`*Fo8!BARN;)VTr)
z)@E~kee!BEH9)F&o`-*&M^~KI<QkvfdN<CNb57h$jqp+vj9Mfei1<a8)cvXb+}qn*
z6_rvCmp%&KuYLop%1>Qigp5D4^ks9<vh>u_ax`W}tOuW%n3!tbpf?u6JWV5D-anRk
zKiKC|Gte|!I~SKUoNKINVt*YGYB9Gh8e|O#<Kp5vyX@DxwYBxCEtpu60pb9w`6&X~
z^AO#R@wmissW%@qc*^OS_dH$yFpG?ohJF^gPDFDy<`l;ETg<%qmHiWIL~Zp4VV<D!
z9m5riXeV@%yE~^{Qy#Q;v2%v(kZHq%$-}0mV-IAMEyo9xj`-^8st0-VeP*kZg1kA`
z-U#ly0@oGnDUJ`9rAfX7txOy*X=M*n$|ekJo=tN}g3S43t=`;LmVZVxaeCg`D)rd6
zt#QsvI!)d3+w;DCw5ZI%l@R$Uw=u^mbl#gez0uvo`1ordW3MA#ryEs1KzhdISsupG
zS%iG#_SQ<zdF>k4+L5@C@_RWtDeF**$l1l=(>i+p1C8#Yk_GdmgG+u>AggIH5SZ+J
zG`lKw%LesTe&jX{LC`jHT#FGkUIvN)k@+1K8`QDHXadYI=rP?DioU#7FtR8mrJ<Qe
zt`pX3qUn~5$MAr43r#j*D7KKcv<W}82MaM}KVO-RJ#QKw{nXmlMjYiu+q?+6HWg&I
zq|B{*gB60Pkn@Rl1mNkt+jCo2AwQ0J6zwj=GFy&jh5G8R7mdd(zpRDQuN|AfIL~#T
zR0>f!biVySlb>~Yn+J(hpXDid@X-yv^=A=$Yv|bAGephS;nQCW(;b^J!ZLjzuMgOU
z0dwX30*JW8E?EUn>cTv+^!xW;Itq&C`G56|jkAJ7L%YI}PoN(8uVjtnsz_=4bXgJY
zy^Z_VfK)>#Oxx<Jfx1a$;k18oh$Sn+M6u~1oa37Yr`%|ompIjDwswl_p?Nj8RJ_fv
z)=T6t8tNVl=Zq8dkan^}DIDak68Z&c>Rm@CbOt9UuJ8d*Zw=cg9utR+5ykg$23||E
z+TC+P?-{&&6qRj7D)pL$QS>d3ENeeq>bEB0T1v)1bFy4kJ0B->uE8qDkN<XwKaUKn
z8fZFMI)hLWDFIx*2@xJqe?6t^7pu#9w5{LIJMV4oE5F-V77d*Lc0+cKSeH+)2V;x#
zO;vW)?hD8)5?pJp83{6jG>G(B-B<gX0(blynQZ5!aoIywNZPB`ABmW~PEO+cPoH1>
zz9v(N(VS1#U@=s9S-cC<jUB<UOjNaL)@5PrW+|jxJ3?LYszG1nr%%2PQ8I%Yn0B?A
zFKETrPA5W97t`S?+bb(i_vXd6T4}mj56e}48QA~(5Y*>#&Igy5>^=Fz?E?eTMBFY;
z%B^M00_}oSsoyTJ=bUA_4f*uWCI<HPi>4!aT``1B*&Ra@-I;$bLlT_tOw6rb)Q-@6
zadU=^oijpZ#w4P6>0?cND&rQz?ebl7TqQ>7hUCUn)xSPh^YpWr0!f@nQ@?%9zWi-@
z!)s)q5{FSbhF9Fb+*figWesu}NtS#fOsLPrLce1~F^ZoD!iB;xt9vdIo6CCao`)kt
zkEd3=e@+ZIzs|kan-+>y?ogqZOHS|K`Zp1?L!_1-af55lMP&lY72UJ(90uIv%|oy%
zjo<63%sfTk&ANQ_lF3SUWb^Kmt5F~PHuuxoZ&_bkmFBjkA|g$Nqp<4(ukWzjzWRNh
zi-tzFGr9d7^~ue3EdiJD;;kP+#rFi1$&y;1=DskiP=7>ZH1Pf5>boGlKM+tSq(^wo
z5)C>7!njILiE))@)dt?A5Y34TsM&FEI@(=x8h25<5l8765mQHj>j^Vw_aTmHnEmD#
zbT@WU|B~TT^i)m^WZhchkEk}fhCZRl59{l|FpmS(SBYdtA3pK9<w__wIQ~TP`*HJa
zZqXj~^scN+3L^gdH3YJF#Kh?{%d|=SX0lY*Rv)lA2Nx8qxj`K#o1o6q`tW6@FyW=?
zGE_Oj&cSj2;oHg8@<x<212hc8)WwM=>#eBg0jJOTv6*bbz&Z@>f7-5)GspW6<x)?7
zXACPJRK&6gvm~e{!ET>q<UqD86DKDDFf3^gkJ|lXK+-0V18=gi<tHpGEi61m{ez=!
z&m<d&BNI0_5sJt+dY_iMZO?h=7Mlx`CH1JexCj9lnP0wjUOF>lL`@JR+I0TyEmQUW
z$m254LtE(w4~!?P?T?O^(n;y)!XTGG-h03_<*~+P^})aj1c98qynn6*;s?~1nU!@u
z=!)%KLqqxqdT~9TE($6A4uFt<SMt&yQNeKvbe2^<P0}|F`UpB+25_CAa)Cy290fUf
zzj2vn@{6)ZM-wlahL0r5$GU;Yi&l*R)nH*}9;zw6vsoVl_2%$+&2H}<5$m74(NHt8
zplKFl=Q=+vP_5igU=DcsvfAg&Be^8s!aMqzygV+jLF>jQDHRnWLah7cXYL<JT*__>
zczb)(T)nCc9FILm*k%0@B^6Z+Gmv6xa&l>)_RwjHh?G1RmUsAjv>o>5P1$FYTkn3t
zIBdr&-Y~z5j&6mC0-#V1oWtw<c&X^#?hi$tGU!k3?d%wXY^gEpqmTam<}xdaFy2s%
z@1K}R7EO%^z$RXVHM05a-o;g=#wMeqqf>0yki>j^vR1OI>U$DX+4y}>@@(%i8n2*W
z<@m|BZ{KEsa>;2E_au$HDv}uU;O62AFM3>MYH!cCS--0yDk3s4I2d#BcS*9ww1;*I
z&ioM}%T-SR#0CZiHI~Edz}M}7899&tfr?wx_=P#Tk&+U@?#@nPZ0r|5Kcu6*{Vg+G
z&;{`6v1CSCTAGr){A>{6mF4;QHo!B{&w!CN)Ym@(crZ6-3}D8er+y2aN58rmdSlR|
zNbQQ}nnyk9#zqe$@c4uT$Jy3bbi#JmIu$c<{T@Di2oOX`MI{%gk0j8uWSi*WNCBAZ
zqmC;t^zA+VVeR8q4({e772K9<8a8J|N5t$mZ@z|x2d=zBdk956Ks$LL#vGP(0_G&}
z+23*+uM6x2GvCF>o2DKDp>=HbL#ueiDdw?vQ&73w=NquOuA?J2Xeab{b#>8d{@+0D
zAMA_{CwmrFT%hh29Q(x0%9VdKmMr}TVm+!wr2KfTRXct4$Mm?=pf(I}vcc0e^~4Zr
z)TiIxWSD;Ze+iW70kN(%0d0L~XlPrm?0M<ZrCC6uM}O)zKZ+ktUz}6nQ*t7@f~wX<
z_>a9mD*9S!Bs793o|qcGM(a1Z@ZlZmSW;rSyyqc~%s>z2?r5>W+oYtB>S|%w*i690
z5fW-@bMNU`HVqOAidUzbO$^YVqZW0#>8F^vG(R5@7Dlj!eG0g!+HMxz=XB#X0lgUY
zWmXkwTU&16<Uz9Z?wHVZ`t-SA@NDy9DP-%@aBhRg{^})FRaNVW&xH4b2=aF(|KYh@
zVK%6NvU744RyI}E#CuZ_Dn<w-vz3ooH?V9$Tli<aJ3os`%4>*3H&0Kdn>TTg(&t^2
z?{ji=132Maw6(Q$+v#NGbKiMp^)sBB4;^OYbz~&A{Ih4zu3f*54h<<;1qHn8OiXXn
z(<5Cr#u=|)Z}sR5=lVR3i8L5KSvZgShqo3BZ_Lj6LvQ9PY&#;M7gGc=oq@1D3Jn`*
zIdqD@z!Mj6O^?);4(AnYl!$v%N&UTd5Mkl6HWChO9S*%bmArWXZ@PwtDlwg3N=tcB
zXAF?`6afn|v+l$es84wL`D2(x{x6uPdmLY52%ls$>R#y{p|TST2trYb@&c@~!FKx%
zT_hD~CxfJoXBL4L-_*bGPww;)fpAC|c>pC1^!1llR~1n4Gv@ng6}YA|P;5h!e+ldk
z0h|4X+^#H3CKJ>VqH3-k|L$EU;CRbj)l^Zfh5PT~;+{8nnRiCtARs1gGWMh}Yldd#
zDElrjRGy~4t#Is(dvBO2+eB9cC5tO4D7Y>6Gp32Te^RL&s^GTXUy0nSy7kz*DgpZT
zar!pq<JlP*exO^QLz|$+d2PhQAif$<#Fd~h3%mk|u<j&5{78wDn;l^^^UDr_=CQxm
zYfABOaqmGnk=;d-^)QC%f3N|VBq_^548j^OEZ?FfL@&L-PLTS`N0y`v8DCj>P)M{k
zqT^ZBjb}qfOAMEt-|L%#eEQs-ENkF|&Y#uv`<m?Nbv;U&L2~6EC9X!ie%$@M0|S+>
z<DqI2kPk`RJC$VZ<5vrMCmry%pIo^&3}Yz94MFa@nZ+3=1}KsNf66s?a3f+ub3;R%
zcpsk8XGjSkxXJ^+quda@T*b@%R(O|LtTXBYy2!W!;aYVRl%(aQ^lLOuyRQGZs^b?C
zr((r5vZO5effRclWc2$kdB)qsxr}IOe5OpcByw~O#5|$L5sQRxxLGJ7U!j5-uI)Tp
zTiOdEYNMEOdX?u~t3Ek8BlCt*7RF4&BF=KR&e#YYuOE$A$WA`%QZ$Sk%Yum<mzA9$
z{5a{H@KLn6KeK>L4DXqu3nnkg_eF^U3rcB0P35fTsB2$dKPS-YN}VB3A>UHNh-22f
z36CQ{l6{ZbUx8RETS`7>1wRBQY^<Y~s7MQkkv4l7)4>CMVXfL+&EfsOn=<}el><;1
z`#<$?{QtS!!3nMPGjv9<IC6X(oUVpHln}SSsxXt)9l@Q$=fNf>=9QKmY95ht)xhsV
za&z<D>e^b-T7m)06k+>TeM7@P%eRua04TP8{fZ4;nF#Lt0%#T%7L>B1{VD&s`un}^
z&hNPMTb}drXM&QZ^V)1h3pF^zL0?T#q(i@nejGaU%@kVCt?E)Fed&1`kFFbf?`u`V
zp3V?`N(`#j^iz3x8E6C9gzex<*w}4GyhF$Pn@txIM0CP_Q2%RsMiqWlSnC*Z;rmw)
ziJG?dNVC?P0!G=So<|QKlFDVl7936kP(tVB<&_cZEs4j$$r+fCK;=~X@nRZmE9GW=
zS>C4yI$r7R#`o;)w<#iziib>nd;qQ8J<SZJZw;g2xAZnpt{fT(PC6k%Ov`ClVmdwE
zKLQU;`IuL`m6eT6LM^wdaD;WZ>9_yAMI(|m%?%ylecFoorK3aJA{&^?(b0S)8j_!%
zUwyooJOGU8=;Y)&H+QcG=560|FQ?6^tM~5RTOP{43>|tz|3qPRVc}JdVnP;_=Ue;x
z?NN;Pfi^!Y?~(96xyH(hjdBG{`CfP<&CuoM1*K`_ouE3J`&rL&HK0gTHBAf`q$A3~
z0Y(MCk`kUY=x&Q0PCA0C<N?@ywhx;w8dN57ZarSp!+98r3Y;qhShV2}Mr730$<TON
zSc1Thqokl<eD^LgKQ|{A4b!)9vcHyZL0kUm6G}A3#**9qEcKU=kl^IuVU=fLVfoS3
z6?)^w4Nh)uQ=nN#t@u1!t*`KvR8>)2tHyflR+_N=%c-d;NPN%S-9@Ol^}qRJU`I2n
zrU>6d!a_o_pvB_ga0|>1$Fso<<IonHsCv;C7>H@rME0+0Y)JSjH8p5XxyHXcU0U>4
zgseYQQa<+nP_&7lI?}gp-%eog+CoFK>rUkB?(CdRc;X|EbocaB))?I4=g0Mf>{?lz
zP>a$V3WQi~V!;~~Qo=umgG}}GlANc&j?jaKfdwjm3p(OM0^uSeA_CL|koCFd=jWk0
zB?T3fm0Ej8hXVvPb7!U1=#SCS1h^>(Ncfd<$CX<)g06G^Yvf>i`>Rk&t~v0ye6XNZ
zR8%a$99|jBE2<3pul9oy@}x>!0)pRw8AWWyE7&7pwMX<qQTC4Vtez0()bw;!WU|q_
z&Y1=piqk%)MLiqpA_7*Ad7K$Db(@|kmD8;LEMuy5-Ly?5!o_WoW$?yKRS8y=JR=9w
zhme!#Roj{cN?{QZGz1K2ygq;3tj8;GQ9V+SIa|;TLqmT2_yP8!0dO&}ch#W6GFz6|
zYpVs@4bTs&ki*2rHaY)$Ont|taNpU-$7jU1uC6Y-zJAg)S!a#M_gJyWBuVFEyEenB
zx>-B*hw|N=NDat{MSW~JMrDsO23IU6x#NbvdXSFB0}6LKSl0y`(el0r(o8J**AKG&
zbwNQ2aOudYs5}7AfuEwQ>PM7OL0U#;_WX1+7|w_wqN{i_>iz%p<vr$>{|}Vg<6~(o
zUxwuJVN>r~b*|4RMg=O$gC8s1MYL%{3oYt27eDM@UsX}T6ub}n9Q*@V2;G0)8^^x$
z-$^y<u>V7;M$7W~r{!g2&!b_VnGiu)@L=;5*wa>%b3=Ez@ZiISIz1|WRXm3(4Aymd
zq+aXk_avG^CzG0#^q#M;@2ZoiN}AX^a1(*W23qte>IQz1X89Nvdr%ka;Q!+1=a-Lm
zT<m5<=wYE0>OlVQZEYDPa2tFWT@!I$)r^me8?Y8~?9aFdu9&A6=V#E={kG7RphF{D
zNX@|93HRF0&rAC>#v%`1vUw+0*CjBA!9ACH7s78(ncFPwtU$^@ubwl34+~k94P!rc
zHk>krqZe%p>;xl+tNR{*rWz&|UGl|pbtgRX@j-@gB{gK~>O%SJ=-}|NN78vUb{|6_
z8q6ZFv6yR~b&`SW@<~}kNO^D5`H5BBaZ>I!Y}eVA0PLcTAuW(%&%oCMt{a05gQ9WN
z8hQ>_7!(ihK*A3_kd+#whkZ9$=gI>}y%P$~k+o0KXVLwIPj2P1AqWi(O`@O`CB66F
zLpa(y1{R=w+d1ZlHuGbF2fEjg-(EjZjrjLI?>{L$%tDCt`1p9IfaD=-Qm%+dZP22U
zRQVfW_nr6Iisnw=GlTJ!BDk~pqWdaIvTBzxi_f7=DpE@{@abD(u6cB>uYxL>FE`IC
zeNA@SSkOq(u^fLi@cv-t0yP}?BxfGN@}~J2qKU_pb$NMy*+aUE5rk0+O?p|;^*`tt
zZY%apfH1j&QA&)n_jT*0ue1i50x7Y`=j#K}s87qTY-P;l{AA9^CJLZG2}`9jNHB+<
zo=nUwuD1qqf$C>3rnUUW#%O$9o*85<0H;?DiEu;wa=t6I>Z1ADE6HT#pu}I#eYNVp
zW-syZ7|Wh)VFhb4>yd*pde$xXj0d^xPm$;U@#bg>?>64<tLj|T-JjMt*_bLz3b`^a
zaMXVA1=+UJzjY1qR#xSBwU%AAJ%UvzS8*4m{1W58soiucKfa!&FY;9V-!vDq@b(Y4
z9Ccn@20vZ2MTOmz{Mi=w-J7SCA8tELi-ROv!sTSWxUI<6eQirn;JucQMaSI=Y`a{4
z4sxm29bBURDQV3&Wk(tHD357D^!{U({r@Ah{uj>O|8X!V^j2I1HR=(O@?foSZA8#r
zN8Jd~<DMcY^+A>0tA`wZh0Y)V`pYf?%AQhef>Q&|0+^M~l!zEc4xNF*{kQ$rn5ed*
zkj?ltUf%wJ=dZ1p!TSofJO?M5Iai4E|LtVxI}E*C0OJy5;OdL>)2jv{_fte1v4C^o
z5E9D3IrCBciN1aq)Tf{bv%vmhXK#;&ctK4HJ%Osm;yJRCE}mV06<5L@%u^(IgS9OK
zylJDQx3e<8y*0(x*3=9HX&_P?CTTrY?+&Oc@z>@=nF%(a$~P!IIPM4=w1vM<EC4pC
z@yd@Jx0Rd(H8nK^`Ptxk8>C<6pux!zoum)l#mQ(>DWI{aiqB=Pn}#V8-n4-3hUv3b
zqM4M@keggwm*hb<>UjPERbdX6yx7#H`Wo<sPX78;&=AQS5*j+Yu;AQ&Xps~InT><~
zjX{17=*MPjp$V<z&S$M4Hh8^`>`?A9xUrqH^Cbif!Sj+A$Hb_E0<vA(vs+Jr4aq4e
zw1QOxLBMPB71ajZNQJ?`t)wIA#rvCleb@fp`BRMnD4?uBXrLOpsCJa0m#jt#Tfm9*
zR492MPn7}X1_rO6F!*F8PL`Rd!yha=i3SD*8Mg-FKKg7;qgQG93Y)=;q&X)F<$L6_
z_`$rlF+l|f*P{jxK?g_2%+WPIr)4#On^J7A`Xn#tKmu@a8`k51ume?@B^ycqt*58`
z<t2Q(Y45|QkXHbz-ZL_~c7A@?)Yj8e)FDI#E@wbu^#CIi!BL7uME4r1T{6%pEl_b2
zA;Y<7*B}Fr8n|Bl({O0WeB%Zq{L^*P9vitPE`AjX0ieNH2xM%SoB5w*CL{gz`XC5v
zomO5#BPdtFJY-Q;s{B<Qpp;m3w~fltsMOT(I1Zibe0-$9L63gNsFHve+~@2BWzlxq
zZl?kRUkFSRlY|64vDg*@HM-s2@<UjLY}d`Hn;aZ%KXMfLz-AgoCqf41VH7t6Gh6`J
z6`umNbX$ninVFk=34uk6^0GlFBl@D_;^42P<ko+^zHZHFP)iQtQz~7;+tQjJc(SVa
zK6$Q6swH6!SfI5;$Qrz8tM`VF4<=p&mzVRS9EK3Sy7!?%NCW6_yRd`{h&Y(30Wg|6
z8em<zgi4rNi)SF;Z*p@N-|Cy5W;i?9FLzXY(;?L%aOpuLJt6qMFtM<*d@s&X%Pn^u
z4BT)@z<~J|Ffz}suZO|Fz<AhfTs8y365+mDxerV2(LfKl5u@9bAHEAK8rq<M2r=xo
zX6{8vgFFT>j*&g^nw06m%p2CU59(cD1}|ha1n=V8)Kr`D9u8b0q7IakI;FR-?<;uF
zNNC}03~F8@1T3yWt*xz=HdkR+K`jRQzeG^e>IW1ZYr<xi;HDr5*(1B|YYK2VydP_=
z1nV?-Y%5h<!6FTYWj}R1)WCp5T*@IAb^T*ah}mEm35$q|j@wgiOhoizuR|uvL6l?`
z77_rVDfyHFU)tK&M-0ZdO8Tb&VbNgyQGmXvq(H1Ue{>DD1yE%{b`_t7gK;Z_JG?CV
z3j_k6@fRE<A;M#{=y5R0tp}gN!N)IfR=N#E4$vp9#m+?2U8c;jRtgG=7UQz!&Q4rp
z3tj|3RjROAe%3m3q<J6cI>FG9tx3l|-DxTaF;F*;BYA<fBM1Ov)YKM~G+GkAgWV7t
z7l#T)l;;(TfEu+wKvH6ZXhIccMH|{gxgq=mpU3NIf$zvXd&X>Aw;{AvU($GjhazpT
z9vK$2@tnHofX3_hekgA3?G;ukmyd<PSz!YHT^+3$bJ5>x?)Z5Yv@YvE(U5Q5-Csb|
z@PV-z3Iw7ey-F##5gLL`OfPL{m?rqmwt5x|wwU!~HECvM<_K@yN^Y{<_MFW6bQ1$J
z3i|<`za}C=1HL~u=qcOJwqA1c@R$QLeX+wE6=jt55<CcSJXSVJaB=mVOfC$5jb!)=
zeqvtONZ=kEIiUt9{pr)EsCVz)zydMy^Itxk_LbzM#K*(ON10I<toFgT3x9hJhEFh`
zlR@qB5)7=+BrX^-1XuaSn!BxS@h`JenR%$Xxl*8_L`4~DR@&R!t2aJR@Vado-OMR<
zTv8F+?dFFp(y~ALBof@OGjP;AP*Wp;k||)qwvG^d7DsDOE-Y<IAm-ebGlNTAHuS8=
zK3#&h5FjVDLr6nUJt`{7PsDLC1BQ#T{zJhg0dtfrI1XwW%FtkVYoHD4Z~+1GU}A<2
zR5<~a8*(>p1>R^OYH4X1j-Usnj0e0BCAuL7V19~(==y6M&Azm^qai}Jldr?C+(t+K
z{{7oupu;oiefVnxe}=;g&SI3Ix?q20%q+d=K+8~okZUo1luO3idi}wR7n|D$Q-Rf`
zr6e%r!>zyJl@l;XR~ho_!rYA%J-*L&DWJs<aH95|cNqGj^C_vRgitgB`+d9=BMm(s
zVArS}HCmZ2Sc%*0fjhXsYMc}hl1#$$q)}g@B;1eA0uM=0!7+GKQu3m5)S%vtbZl(w
zXN@B(i&COp`=M3}T2qSp_mjA3L%6|RpXi&kO1q~obcgET^_IdXP4w_O4h}A^y_1NP
zz)g`K<SuJqEne(RU0c2tXomwofVYhPqgJ_<J4S%|5~xO;KvU4Z#h<-Gh1+BL0DK&*
ow`(c>?X9VQd4CEM`RjXjwMp*NJMKkzy$g|-QIRf|GJ5%603tKBW&i*H

diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map
deleted file mode 100644
index 3933e10..0000000
--- a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::A2DE" name="bayesnet::A2DE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="30,226,148,252"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5
deleted file mode 100644
index 2430de2..0000000
--- a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-2a4c640dc60ff5b335609cbf09ecb998
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_a2_d_e__inherit__graph.png
deleted file mode 100644
index 71e485d88a99575ca14d23e1460349412472bee0..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 9888
zcmc(lbyQXFy6-2_(xQ~4fCT~q(kTiqML_8W>F!WcLQq0j(y5@LbceJkASI1-NvCvk
zp7q;%-?Q)7`<{FMxaVGF3}BAITywtf6QAe%eP1dm$dR0-JBuI)3F_XR$MC%nL9nn0
z@ZhJB^izEJhWF%w+#Tc;^Z#vi#v24-Mo@R8Ros(SMm<ziT}~uV<|N#GS)ZRd<0nYZ
zZ>@Bl`_Wi?_Y;Z7WB2elj)QY0mU@bL)q6FZ9gf03-Wu%I@}G&jOnE7N;oykii|;if
zPQt1-jRar6h&rqa2HUy9)LO|<apt6k?@nTcUXuMH4|XLEt9F-;#}ozDs)gwhX>y#u
zzJ}h|>O@9I-%9$eVs@UDK%52D{ZiOzHmX!#aH28no<cO6#c2-51M+7<zm<{4LwQT*
ze+v|u{d9E}_v^Hhd(F7wSUuYx!$J_w;>Y>PkD&1F*-OoS*MpgfGMO<K`iAYqRW&q%
zzkR!7Jy`giaeIrXkaPM&tlnaN$G`wJpJ`h;d)bYwtgJsLhik0d+++_QKBSTK7Mq%$
zzG>Ne6_L`_Wf=3^d}uvXOem7vv3i)7nfbLb?Bbse(Y3nvc9K|b{l;9~N^(ZVa0*sg
z<||k5xoh^)Mt7}RAErjOwzd|yt?7C6PN^6g8aB7IEOwQ`r~8vhNV&M&TK%%bHSa8v
zB<?}wG}~6Me|n%E)c<sKM0mvK^jOGsnI<hQE#JKB($U`ZYXTyohQT5;ECkOVi^+2x
zOG{gu;jxUB701TL26HPf!py}*T2WC^ez;osNL4j(bMB|8acwm^KAtu?I{JG`OGk&P
zloWz0%*_oiDJjvlRaaHLs~O`lVw;$dK&QnSqp);?iYQO7+H%{)v?%`8ty|)@PV=4b
z<P{ay9zDGL<|X1jEp$VxI9U0k{6cYcNsZe;Q0`)qu+!!Aw6rfel5VRyXk!bDYgo>U
zKKhIExw2?t5)u<f$HI1-Yz8^BwXLnGlT%UqK-rI$mM5mBro}RT%S%hGs#$7Xqoc`a
zHiyZtf!5~c%&3nU8GQWwQ8hI+TbrBHLnT%y^n(~qLmi!@?(iSRQ=RW*;u8|?quW|r
zjWjf9Ttpb~$r#%P^nG-N3G8Z*1?0l%QQX|zc(}NK_Wn$>{qXZU^X%C($HSeKt(~2Z
zvgwms3q6|Z>Sjgl9&6RHXtu8Q_OME~waX~m!NNc?$)o(o`iCY~(t7y@SgFqzubB*L
zjoWP3t0kYF?A8+c?(gp>hs&T)ggxEe_gqOG^_TK@bRIpTz$c;m_TmLzN0RUxE-tRE
zt*zg1_oix(-Hk{&#)VRD6B83>C#UK0lO4f>y}k8T?%L(vj9el9W`u^Cx+ydBx~Z8N
zpO8=-At52#kC&8Jc!h;EuZ{Keym|WcsXPkx?)7W3Fj-a<FDt9Ro}M0NF=b@1;opAa
zMZ5fhg2?aRztf99<ENyg)KpTEva_@6@9*z6=XczkZBG($x&C8G8n14C-kgpYZ+3Q;
zmzmi&)oUldUEoKD+3&3_=NgC^U9K`*VF7`drGdOTj=ZX`S5n;lu&}ViJa)1-=&ZcT
z`tY?~K7Rc8IKAttk!gFF^y&i!aoV}kH>&35S8MmCh|s^Uq<VhEXY$M+t|{&lvKius
zjU3;i9kg}3(VwSJrmwFrpC~}0D87BZyQhbxmG=Y|lvPB8?pZaX<mnOL$jFHO$<b3z
zjeNwkh&Dbx9`Wt%RpHdDqFG&C74qEU36*8-&($SDuWxVPm6s<bWfUVon_F9dYhv;V
zg$4Z9)Wl&^JXmN#Bqk=t^K`>lK3U|#+|SgqK~weFpQ*21mijey@enjKAqvf7-pL&C
z4W9Q5B5-J%MOM0KZDSKySt-i)xhIh-XVD7tYO7nuZGtvK0sEVC4Wpyg>NexeT+*ax
z&wicnN{^mdU$>v%erC>3M=#+?Q(s>n92{I%YBM}BHFXBDcXMk(vp<MPNH|+G7%CG)
zYPi2KgZQSUU7{hzlaJ%Unr;khD0i67hr)0V9dOgA(cou__&pS=KHsnbQ$~u5i%GZl
z4i7m_2Ns-p=)wesm$Uk^)Te*?obU<2BZ+(LFpG*_Wb)o)X=!P(-WgS6vhJg$qkHx7
z<7Lm&<K1M-{r$Pr0*7hYh~@m6JeMuwq{^N*H&b~GZ|4ma&wjM4#gZ~HVVA#5S*&#f
znShL-5q4zT*xZbai0~a5(Fq6&!bWc2z8y7iL%)W;tE)?+%KfIZNV4Nn%lJ5xgoMP^
zYu6r$=xS=dY;2U(seX2$CquER(4_V4z*1yfT<~0q2kC3^ow)8?+0E3vpQYGVSr0ud
z4$oY_e*N~{yMcW*!;AhoBFD$alM4$ki;MZ&;%=rl)Rfr_zle#6QP7Vo4S${^VrgYn
z$uO4^8kF8t6{g$K3_&qmYJ-hH#leG&{{|nYq@zO&p&sz!#TkT@K_mbcm|dsHwA~MO
zvOh;V=+`d|c3;Q<nTHQa&}g*OId*pT;Ly-Jj*h%gGs!Pp2(%i=t^fIxEHW~(#fDki
zx`YtX%Awlc-fr0u78c$++WeWrh3%`CC#R`N3kw|)6Z7K3gV-lf72^bK659Xv9^ztR
z`6jJYo?BgVLhkF#u&5BJu4`jqx|OajPuEIe`CXDc_-0A_VneDQrOV#r<wZkc^_ugC
zhJ}6TGJg+6EnBl_er~R5V#1*D+c*36gj>YK#F%1=;+2p{LEND<lCE54XYXog@Mo0`
zeXEu=^XdY}uc4v)MT2b?Js-RJ`l8=lQ8c}GkHBqpWN`A*`wt)PT3oq&`2~0FQDM6P
z%5i0=q<6u2q|A;9<#>FsT?Jbd<vPS&rn_9?LrlvX@LKXjh+D7fleJOK8q^ZC!%p4g
zLQbcK7bNg!&Mqz=5)&`NhDBG38#jei*YtP2aadh_@>5Med-T$Bc*CkzvAUL4%d1zf
z6qdMkzx2MFC@kciQ5)J>85TC{Na7l{s@$}nX^AFXGSQq>lsx{XoT0FNFjib5fVz%9
zmXf_)T`BP^^G%ia+ICw!A15d0au?0khwwz&xv{Meg4wtgJ<$r7p23DXWH?Um9~#m+
z+Uiks-x)OfGv={oSnr2RI-2^H6j%WFM+T$!-Xv-5;_qTXlIW<Yi9l+-y3L=G+_yPL
z_$x<B=0hNLf6vZ}Snc|?1eZCS{Tn1;s6lP6d9EY5GTMdU>%)cf#$mEffySA7d2X`e
znaXArCmeMCIthu%x*=NT{0ST#xs&0Pu^ld_$L#ux-VY{CgM|zIDcrTt>!C$UN|iOW
zL67G9Go8b+>?sg_ssQgJ(FL<BvG28}LYJkY$cgH3>Wpc9Y0L)FO)oW*vi)$U3!w5<
zyOiSMDsFk%Z<*PFHVKE2W#zJ6y81__G|C5$Z&4WIN4}&vBWr?d*sCPZO@9|>5NqsN
z2p#IHBcZ*j+I{=L0JHIDAy3*Eq=+-Iqht*(2m5lRY;brZd|x!UN7&%+Bc9U~juuZz
z%A*6u$2a^|ktvD7<edHIS|N<85fdgRZw?Ng?J)$$d^!82Q*J8M+AO=#v(7SDnlQy5
z-*D^(=R!EMpS4+GsD`;g;ZD_y{AS)Kb|w$q&fF}?PtV|+f5)E5RyR8*Nnw5yMYA#J
z`Qs#2#WCodnX#y2bivz7a%^9m^2!$SS_dmRg~J);TbJz5)};$(E9`BLOOEF2Rb{Bn
zORAahn5g0@e;I#VPW!}?<=^1kzwq6E%LQG@`9mo5WRadfQfzkI<~SSV&Pc^Quy|Qy
zRgruTy%h^6=3|$)vwX1MT*&!4g3aP(YHF%@;>v(&`u4!-zW7A%ZCh68ZH1gnh`k41
z#X}8^IM##<DpPP*S3BjlNL*ENX(|<I98D!$3S;RDcOw3Fq5iWp7boW(PtPj82lfez
zi<VU<2TSfpf0}Mu^>ZGrot|*N3JHmxTUuOPp9<kltEd=c`3p!xxNCy@`<Herxb<s7
z0|Id9h3pY1V!ujl5@mLlt}2i?K7A^@vpTxec5e9+CnvF{rl$DV$w-A$`RU1_!}712
zckbRb>`J@4_os=8f{N+|0QMP#7!O-wZvva$d<SywRaKQ(b0IMj91<d9Ys<A-b7-rg
zsycbJzezf1R~zwv12i3U`OG?uRa8_mTunQYepEQkq1hfhctH48nW4Y&t6J)pC2rJ<
z7cYR024@BO8{e=cCMFJ!j971O+Y}ZS#=#@3ELUmu#WEir960u6sye&5Ww4=i%I#S$
z($U>RFDxtolzzy|<32t*DtBGcLjQ(74Fr}^Y{VNc<UFqggo9?=+}NO@qLNKkXsY+e
z-`pP1S0_CgwySNAWR>e~Z4Hr@mKO6q5<(Teee0W&k}^``C0bow{kh9r$m_tlzpro5
zdJ~G$2R0Oj_*O?NQE2T_>&XT($?V<%@BQ)96G1E<Ny*wC_o%2So*Os9jOUoOFA`~c
z6>k4;N%GN9e*Z3%)-M$mf9!k?FM4@;?#;yN@64BH@%~pRNz1ROs5m<_bCaDt5ZX6C
zT^QSs&`{!MPoEZ4RK$~zkU+orebKI}9{M>IHMP^$e3!huys@-27QC6Jw)TVcuIBbc
zL8ryu&un@4v`Bh-x&;qSTw-FYuP@>aWmsUCO*A#Kr>AFswQ|k1A_)jROg6pO7C^C7
zfNFI6bLB~CGXHHEnf>q7`VnlB`@bn6u>9F9iq>pyDI^Mn!PdC#(9$9yuU<vD<W+5)
z&5)139rFDvj4{eFCTc1wJRBS$GB1b?A3r_^o4znJ^C7@&d$CWa!jT>2I9}tmwY_Zu
zeVzml8@>ke^nU`kZBBg;f#x*>Ft88EtrTNYT3qZbln)b|nx!U0g}%qitwbAib)ps<
zJG;X~-E;nUd4V!3CSz?Q!z@Md1v@wC(!SkNy4MV%{pmGj4tFAwy$^3(y-JWS_gXEc
zp`qd3z|y-ebNjt@LmYg3)=QVp0HgSagb*QhqoWKkwn$rAUT-ty!_di0Yb-Vb9nye@
zhR5(LPUuBJQVa)<ReP|Y&NYV8`eUe$ogEi?u8h08P<MB?NbmI8THcX<Mo+yt|B!W2
z8LVGdZ*Ra_?b=aeUaHRt?L|RboFAl1HerD|65H=<M;B1zSLEY5hYj;ZgQ^a51g~>&
z81lxy?X$!}G89uAn<H5xQ&V3<b$|wVNlc6$AwPF6t;!bgG&nrG5mxJ6&jOFfjx{pi
zKR-R~k4B#}$>-qU==$|5I7>b6$-&lwMyWOJ)-&;Ql$3u)oPJIgG%+d<^_ib+mW)ze
z)wbE`2dtg=C#rLT^^k!K&fq5hYe`}99Nj4s-C3?=6+RBN7D$Zthyg&TheRu|9^^ew
zP2Dg&eDU48cZe@=^Se)<?hy_E98IjQh6BK}2neVVPE<YJR8m&<fB&8>;tot=msnXN
zlafNAI6(!Qgn4m&b5q9H_`T!d4=Qb&GrnqBcfGu-3%wK+NF`2>Ho0Q|D`1<1@LVqT
z`RiG|R_yE!a_@V^v%aRg^$Hk~n1JA|Y`USfH7Cqs4=+=iwI|$_l$6B7$L9movg*$^
zG%#R>mqnrf{P}}ZM?}r#Y%X~1+Dk@8M*5pia7wgpsAp@`_xGzMw3}jLJ~uZvN$e@F
z%<bFdPIDckPK~9)Y$yQ0bx7&b!OJKR6=Fn^!(nt~Mdj+(rtFS5z3%P^YyG!i#%0_j
zT$odEm5Zx%C?jR7tP*~!(XPDvi=hu7?|-5*!?yslQQ8*6Wp;Cb(_gIfRyrD@In+h6
zV@={EkGCillSTTLJbL<v*goUr3MM2bKAml&rJ|zR`9x)fNescB@g3{!>M|9E-(#OX
zf1ZSa6~qb+Mq$TqlZTYc52D>}9HhN}kHcNHekR4|1T)mt4bBjhVP%Z}Cx2BEPYQH%
z|7`ZNXZ=V2vu~y!q)63fCMf-Ns~OFf%)B2ZKD@l<9VHj~oO8MiyX9<>ZtKb&^n1#V
zT<Q71a_1VR*pA&~-JqetZ5iUg@R*OC-&=`h5GDQB@9@*uLyD{(b2t>tN$I7;kr)v8
zvecgF+mizaU7{eWBdEh6@m^bg)+;Z6gWlNUtZuc~BV581gc%DjIh19XmA&amYl}f4
zDU#t^4`ppSo?FQc%5`(c`st2rRQsI>hC66-4y;+%EY5S}OT~UF3UHT+TCyHxM}J1&
zVG>1JZR0)myZ5(ss}<%&9b{dRA0&$ReM@^Nzahy1SFc39e|D)kT#EBbU2aOGZvIis
zfD=BsGLfiuysTtcKo+8t9h!TWgJnK%^FxcacKnx@e1*vtY@C5O+8G21&%c-DriuC!
z6jr0$Wz)84DD7F++j2M;6qr9!xfah_g%@ks(~iF8(A6QY+I)mMqCkmK0ED4$Xh^-q
z@_n}=UDv!M`O&sESGrW{s6V^YC%eU<C6oB0P$g*zrP)8R$iKkJfB%L2VSFz$6O&|o
za?8A(-meG)GQq_!T7e$!4g^Usv`9_{d%24Mfx$Zm+W67Y(Q@DWw@-kx`uh5kPXn}>
z25&SY6O)rzK0ZDk0@psNC@WKDW@WAPr^K=TT@U<cUNjh}r21!Zkhan-A?%`HT4rWu
z>)hD0r5nVIVtZ8Ty^%T7kJZ(K1jjuo69sJi6f&G{yOavggzD(&g@ei?Vl?1-0iY>6
zJDbt&bRi>kDu~Hj%E-tl10RL2HpEvN9#U^m2jYk?=rY<msy~HhLPzwxyu|N4>3l1l
zoRXEB`vN2$w$E;ozS%iBfw8gF{0ZUu8HJqbg@xy!60U5xP=(+^qt;EKt+d>PDhIMa
zb>>RESxSAvEvql19a=X=x9hdWvFfY^8jN|bne{@QiEB4?cXxLl>hE`0SU9m|&sZ6?
z7GMRP5a!SIot?(CyCKkx5QLVNmPXK)9@+~9Ik|7F-ZMfZ-+AG2wqErYnTyY#Ki_MT
zJi$VmfBtL&NsZ$Cc^nXP*x1;vntdU;C}04vKtMwB9kh#x<YbbGgED2%-<E$BV0(Le
zgIM!Dl$K9PU*E2%9aJW=3l}c9Prbad4r_D<DYYGa1&nund$fEcdDXI@A2cQ?Ghd;1
zYM0sGg=*^Q<@IMVD{rb~K+nIdOc0NRE<o~Vl1yBLYh{pb$$O=8t%jq@dEuPLB~j7D
z|FxDDU&vXMogE6ahLH{L-#-iB1R;b%!<%nyY&>yt;sZdWp`mFO9CP;%3k&1q;+h3e
zkB^IM#t4WW9z~_4F|z5AiGp^sy`Pm)Xk1)eoPVdNp&b9FnW`T|r=)baje89&I>J~E
z8tGn!<niYQR(AFe!&=tc?<#AsCwdemA6D!AgvL*fP;+Y3y?S-ld%I5^N2*%SZnHcp
zCgvPsWoh|^AvUEP-mw<e@Ae#f|En6D3TTX)yDc1f_AOD@iZwXJd``qnG)?c`#Vsl<
z6f$lm2eAM{cAypBcUQ~PYlrHNX4_pEmV=$^@9ph0;DIlDPy&)9eI#J;zo)LQZaexV
zy7p*;2yO&TENES)##8gN31|<VD<uQgrGu&wm6Yesef_MQ;RvHV1EZ+x@_Z?kwpYHY
znRcR$k=M%5tuqs``re<HWwQD<QcsUE+NZlEnn%MPDE<;{R!C&U$Hg^-U}<p#yxCbB
z2SwArA&6`m$T&bYy}o*PjEI_=8u117CWcef57fW5WKrrMQiiW5$A?(R-Me>rXo%xL
z!wNbMWs+nxY7DJU5%*Y+tv$kpev6UEUyxkPx1YRiQn|B6(e*!+GqY5$(qUmo^^#wU
zGK!1ViOOU&_Qw%`bZSo(&}<r<R1gVSO&`SNLR;G%wIYCb{$eIQAMD<Ro{XE0zwiB?
zn`32R!2)%ifQ$?u2?z+dnx|dkDV&y`Uf}-c2`Kn&DdHFFw*A-s22C?l`H;2{M&-}8
zuYXib4L50xk<J@ny?K-3r}!>CqsQ{i52HKO97is>W?2vA7Bl}^#SG5Y<e@5x;dYxG
zhS;5?TU@0=+fVEOpb%e}iY6xN{W0(b)8FLEN?2#-lAVo&^E^2aWmJ92Ei0;#(a{3i
zQIT(rjo0zb$Euz}W0nS3zK3bV05A6x6lC@E7{O4mhmG3X-)G_FeJos8`pc3MDb~ty
zWWmFXi+|U=2FTpOt;mpbD=Wc-s)$F!ki$ZI`Ic36^8X_k+Uzdfzx;m!Lo6&TIGr=o
zzkj?Duqwca)MLL)p|E1*zkMt9GzXNj0;48t#@HRF->Z!uuBbQ^4CsNd#&P}nmu2(e
zw~@vm?U`tT`afQi3>M5nVRdQNF^77tvj%r7ug}54l@t+|`xY4)*(E46cp@+#R9oid
zeOUql)1!3=?slR={Vx#o?(iIa>zMSax*gs1YuD<DxT}2UQhgYSs5tFig}>T-TaZj!
z4g0$cg~6cSypCo+gRp-zre7}MBS73OE%z}UEUMb)ta%x8YoT@b(st+4_KxM_3vE>=
z5AA$=j}_0YNnJLhX5Q+|<gVc7@_&#7EVP|9Y<G+f_@zI78NK-XzDm0-)03;tREe_O
zZX}t^SXAnJJ|c3NF0KzP*;loMA{6|;BmB(#*jfeo!_)*`AU;Xqq+lWUkmni6I^mfw
zKL`4Y#Y+3U3C)U#dJ||}VDKxW_DxH&R@{An692eh8r1DW58DldBrRDjqU9yCXz(2|
zR!XiFwF;%pB^8-`(VHdqzNaTIY9rgON)1elx(*mUuFuIut$d>$#Nwy=CgoQVk|7@u
zrzZr~9d?8}-5qrwCK(Pa4!ft)ZU}|3XviUYGXHoWr!jl)RH(jj^EOj3^Kd-zx4NA~
zLwPQ2a;L1t3T3!Nc@1?g1?x+aT5*@32G(O8^WjK>LWZ1^vt(EVXAC0Q;@Ai;6Y@Op
zt+1i>#g&@K8$RoLY3$fkj*3<WS;p~oO})KMfcWlxY$*K}p{<d?Jd&hJE3X+{f8K21
zo$LQkElOEJO@NEbwww*6oLsP`-Tqj43KxNStcLZ3fb<7ts^<o3A!jU4*^d*|t%5@D
zh#HNT4f(d6x*bcR`Nu1wM|c&n%4e9;mwL$#Qur;<d~V#oH1+gSdUkHi{<Bf~kNCql
zr=8p<9VvQwO^`kLP~yyDr_N(~Lt#-71qH=(kg;8!)x3L$1zNGalT*W|N9hxbi)WEN
zkfaRw>7rNg$QVN-BFLdqI=g#mX@Tz~6MJ})cY450OfS?KUhNR-?I4?*mnWy75MI<;
zZedrwO~s{C-nlg3b+}U2+}8FDP^)L5V!G+|bf3EZcaUE4jhaZSj(3Kku3;hcqOQa<
zGc%p$xlFSm)ZA0YyW?^o>;GEi)=Cj_I0FN|td*5jhMZ3qcSrL|NpZ0+o3n^+#vI+n
zi#P2jr0zXlJ85$QG{jsSh`a-4T2)om7tdtQR&xuBg^kcY)kG-YJc;eqneE2BlR$HI
z>8~YT!PuWxQgXr8))qn1yMk*^kJsE!_UAw^!+Y~102C5duw@|45kx*kj8-}0WNs9}
z*u%5!i8oE#XyBrz=4q!4nIX*kKyR+yc7E0c8W<l42ElV+aqNz|F{$P15DE$kCW*R{
z9`3FM)f@QArc2+sgA>E0`wBd4SU_@+(D{9r>OE$n)yXL-{bByXRC%y5U+Copsbzg%
z9xS4`Z~+&EUiUfO_1T+~Jbek)P<dsg5lAL9e5S-O!VB1r1cL>3POiYfv=j~ppfG0v
z!s(@fg~0k*50X5>0_RO_c%<Bcm5z>Xy-SV>=5H!c?!T++dj-P8Y6z|Z(rH19fOF(9
zpzAjI@=A)7tE&L~`lnN7;55|5!Qm#japbT(NT+29rbP!5QAaV4UlkIf0VAUh!$&O5
z$GWwIjz&hTY^blIYgPUm8;;9EB}9N`!LMF@rPlX+{^`?I`2>DK7Z(@z&2~Xd0RDJ$
zh4tDsLd*tCPEGlNO4MM^|Kw``p}CFC_izSL9-~I$wp2+b@XFV!cNslBJ$Y<Lggha(
z_BK;biGg-J;Z7L823&qDozq+;B_&_jzx1jq2(9J1cs?`xaj#uX8$Rg!V50D<Wox{{
zvHO*8$k6dikPCaDc105OD;gdH1OzXM-@kufl?EW<9P`@MH5mr<24pZ=9jOp#;^pT*
ze?>86Ie!)0eQH=pk!&IYf_XtZ)_H2D-vSup1+zrw&iTPRO@kiG{Ia}U2=lt|?9tKD
zn2%^_ZKYsjBn|nFc~R_gZ`VX2hf84HDWpn}fWrs~?Z<|3JxyB9gWG$S&5)nY;b_kR
z+{U&<K{D>@t;a!HR5!HV>*xdq1iY=P8Zk}OC4|j@khXN$hhd`Je)7zvOP3G?%>8=U
zA|-9@;m<jcSWiHr0)|)hvwf(f6v1m}Ys5nXE}y8FE%DAu_IOexSaG2&GB2*S0?9Rj
zeU6~e_6J)QU`C%uvl;HKPqs*RTb9J}Tb#oL3DD03;Il^cvs=j9%*?YnIXSSTGC{{U
zxVZITEpn)3D|LK>i379qkkfhA1KwlVeU^p-i8iH!)Hc-RYgL=1zDrK7XrZSYY>-y?
z69;ZVKP6A;PY(uaF_xZYk*SMEn9`$1&nG4(NSD6R?^Auw%M1Gc<T*x`n`nvVSpV}!
z8g!#@dSO4wlRvL%Bs_(X2^cVx^{64Tl11IFn@x3gDj~iZ8CPIc^DTNV&(sO>^S_16
zhY-Z1&qw)qKd}4hCB5lUC=?tPsp_^p%r73r%I`DPPl5vU=+PthiRbuHF8V&lw;UZE
zdF;kOI}cqME^B}jBbajvV&dYJHa*q?7;=dd_i#<M{Gz*^_&JcXb#G_b4h#A4;e(LN
z;(5#`feC;~dKd$75zPLos;b^E$H?#IC0ZDn9}?nzo%iAJc-rUBgb-^uD4j}I5>R*K
zK&A&?`~&qXt)PGc#vgc8&!Az|ehl^L=;(BIcc)qFtEjvebDQ4y9zy*{S2v87&(xqf
zf~Cc1sMz8v2Zs#M5|{3mfbQ<c7&9KGP|)x`<>ajJu$x<2-nOy1VQFcp1jlP~w9CHs
z^iX0TO36b;MkeEPpkChEwl0;~f}oi(%pD-ZV_}v9Q%vfx$qYbEj9?=Kr{5iBp2@|<
zSK~*sf^j#E@L*GXm?3Ta@yQyo$;5m?sXqF7di1(`EP_R5y^Zgu0qDJ;){`$TEn$j*
z9Fy01x-dMDkb_^pZh|?q6GT!>Y17K-Hw`Nt!pW^YeYU$g3gsMQ(}Q#403j+L&x?zQ
zaQc8>4uxsSIfel|@T247$Tx4WK`jRl-Z`O#m`Q>j&SW6I*!ZL%4`U+;=n5F=w)Svz
zEs80jSQt(wkTOY(d{*>1nr0GxC}S&ET{&ra1=@3X44Z|Ier_-{BB)W_3kXylnT(!m
zyUuXsCLBQk?>{@66LvJS2lt}=@%>sTJ}|MtWUki#2E<HU@RDDUF^y$mq&S?nBOR50
zo;)A{>so5#Gt`Z}jsud&8X7To``9HfFE3G>0eEdFp2nu8PZqjA=+@+dtQW?Hdi;^2
z+9c;8ay->keH?k9K(vAhj~_pN#POMter;$-)(xMKI$jMOxroW(gYBhc-52&mpAJGf
zM}+^=m2&$1_3Lf3RXrt&3>?k$E}cjd;gS`S2|qXkfiXk>ah3~b;uQb#aqdjKOMeF(
PIYUr)74GETHt_oo+?oU`

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e-members.html b/docs/manual/classbayesnet_1_1_a_o_d_e-members.html
deleted file mode 100644
index 910d05f..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e-members.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_a_o_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::AODE Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>AODE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;AODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~AODE</b>() (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">bayesnet::AODE</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e.html b/docs/manual/classbayesnet_1_1_a_o_d_e.html
deleted file mode 100644
index 1c6cc5a..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e.html
+++ /dev/null
@@ -1,420 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::AODE Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_a_o_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_a_o_d_e-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::AODE Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::AODE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_a_o_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_a_o_d_e_inherit__map" id="abayesnet_1_1_a_o_d_e_inherit__map">
-<area shape="rect" title=" " alt="" coords="29,226,149,252"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::AODE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_a_o_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_a_o_d_e_coll__map" id="abayesnet_1_1_a_o_d_e_coll__map">
-<area shape="rect" title=" " alt="" coords="116,241,236,267"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a2bdd82edb16deaab0eae23fd0e283ccf" id="r_a2bdd82edb16deaab0eae23fd0e283ccf"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2bdd82edb16deaab0eae23fd0e283ccf">AODE</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:a2bdd82edb16deaab0eae23fd0e283ccf"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aefb1836792cfb5bccdb6d4cbfbd30cb6" id="r_aefb1836792cfb5bccdb6d4cbfbd30cb6"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aefb1836792cfb5bccdb6d4cbfbd30cb6">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:aefb1836792cfb5bccdb6d4cbfbd30cb6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa9bdf8f49a11185ca4badfce8caeae59" id="r_aa9bdf8f49a11185ca4badfce8caeae59"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aa9bdf8f49a11185ca4badfce8caeae59">graph</a> (const std::string &amp;title=&quot;AODE&quot;) const override</td></tr>
-<tr class="separator:aa9bdf8f49a11185ca4badfce8caeae59"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a170f0d129b3f47b55f82868e5b1a9d8e" id="r_a170f0d129b3f47b55f82868e5b1a9d8e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a170f0d129b3f47b55f82868e5b1a9d8e">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a170f0d129b3f47b55f82868e5b1a9d8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8h_source.html#l00012">12</a> of file <a class="el" href="_a_o_d_e_8h_source.html">AODE.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a2bdd82edb16deaab0eae23fd0e283ccf" name="a2bdd82edb16deaab0eae23fd0e283ccf"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a2bdd82edb16deaab0eae23fd0e283ccf">&#9670;&#160;</a></span>AODE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::AODE::AODE </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00010">10</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
-
-</div>
-</div>
-<a id="a99b83fb08c294361e387eb3c535b823c" name="a99b83fb08c294361e387eb3c535b823c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a99b83fb08c294361e387eb3c535b823c">&#9670;&#160;</a></span>~AODE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">virtual bayesnet::AODE::~AODE </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8h_source.html#l00015">15</a> of file <a class="el" href="_a_o_d_e_8h_source.html">AODE.h</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a170f0d129b3f47b55f82868e5b1a9d8e" name="a170f0d129b3f47b55f82868e5b1a9d8e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a170f0d129b3f47b55f82868e5b1a9d8e">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::AODE::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00024">24</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
-
-</div>
-</div>
-<a id="aa9bdf8f49a11185ca4badfce8caeae59" name="aa9bdf8f49a11185ca4badfce8caeae59"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aa9bdf8f49a11185ca4badfce8caeae59">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::AODE::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;AODE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00034">34</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
-
-</div>
-</div>
-<a id="aefb1836792cfb5bccdb6d4cbfbd30cb6" name="aefb1836792cfb5bccdb6d4cbfbd30cb6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aefb1836792cfb5bccdb6d4cbfbd30cb6">&#9670;&#160;</a></span>setHyperparameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::AODE::setHyperparameters </td>
-          <td>(</td>
-          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_8cc_source.html#l00015">15</a> of file <a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_8h_source.html">AODE.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_8cc_source.html">AODE.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_a_o_d_e.html">AODE</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map
deleted file mode 100644
index 12e0d18..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::AODE" name="bayesnet::AODE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="116,241,236,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5
deleted file mode 100644
index e6b0ce6..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-a8ecb4b4827a401aa13582922068e79f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e__coll__graph.png
deleted file mode 100644
index 76cba847d662acbdfaf60ee7bc5f8f88d3c9a654..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 13955
zcmch8by!u=x9tWMQ7I7tk&qCiLj-AQ4jl?e3J4y$Q%V6rQb46kBn0V3Ku`e@i6h-9
zjg)k~d4Biackg%W-9O%Yiu#@7KI^Q#)?8zbIp)|e)m7yQFH&7Z5QGq=Aft&OI4bam
z1RoFH;h$t)g@5o&mE>iRQ|#~b`kYt<xq+Z$B=379uZ}%6xbJ!*u|DwRQME$4|8sX<
zevTMr-k(a}69p9&wY1Cht`@s-mK~UzYZTU)5B(W-?Wud+CaBd@s+sGe+@^fCr_|*E
zDeg@6DBiQ0dS5@vvKu@+%mi_}TO0AMU!5)HoX69gJL^Q}ojVEqNu==U1ONH2a@wU|
z*Mw6FS=y!|Z^?zUs4K2Ug@k;!3axZs8>bl~TMg|;Wnzwmz5XuP=XW_b{FP-2X3rA0
zX($aWCT^2BGuTUJ+up#P$5?Z&v3zOED#+puCR1L}RZMEowkuUkr6GK|@Dq`*udhl2
zHKvqC#EoEof4^eRnp!=KM5<hmG*JrQ<opE{`oQ9Vz-$t!K}jhseEO9e8LWXMZhK!d
zJP-a_au`&vEB5}f(&ZrM&@E1Hnc1IDvwu5cf=rIqID5<`JmGPimI(|FHXE<={QmuW
zvAD5;LHM~#<mq*Fb*Q(->gxX37p0}7h{N2^Yu{R1&9>$`?mA2&+8=c>OzpOo!!r%U
zNR-$P<+$(Rs@|5w-sBnYJ(Kq8jyo(YIc=34bVMD=$<!Z>Kc6V}POCRHHFYn#M0gc6
zn>OVaHH13PcTVNy7e4>=NhFe1EHoq}MA$u>eQ~hFta_v6dWrj*k&LXY$&c5pdy6?~
zB-GU5netJ%$X_opBcJUD*13k3Z{EC7P*DkLHpM}{wX`tYym@ZGz?tyk#fuI{dmGFT
z?UZ_GcYP3#)rtWg`*Bh4-7)t&bAB7m6njhgMTw6Sc7**-M900iI+!gFLsL`ZUcXMS
zuCDH!?@SRnALCZ_@c#YB#}3+0N_1bv#%iq{{<OFq8X8J9Hn+buZ^A>llE=x+jHeXG
z)f~p%5Ymw(Xa+OY{p4m_Fwi%!`{F=dC&lk@WWr%4LeLcUb8p%BG&Gpbmr^)|Ncsgq
zQ)ZO7RoQs^hs?rxh>&MKhdWJUV>HOCH*bQ5%AU-;xNg_DS~X!b??=6DE05&n=H8Q)
z4eA)yuidF!Gj<<ytv)?DG~r92@?L$TXK^(Kwl8;AIq%)OcWp$J{_JFl%&`|rN=nvu
zcY~{{1hbVBaO;hT5d}rXFa9`ZNXW>}`uX`SpMN@BZW$65mXDFEvKw2+$kX8<zkdC4
zINlz}e7gH*eS2Hh+q=%SRloG{g@c{du=MmBe-|)k+S=L>u2e2hPtU0c!SQ=>T!xd&
z%V8RsavAU6f3rvmz$28hv*Y?xJwsG?_~#Si|GPcT>}Nc0{{dG@VHgJetxw0;Hl?s=
zt@7Yeey3S$q{-TNy>6WcFMncUlHJ!AgdQs;txF%5otAUgYK(pN&!q^vJ~t|o_wcx@
znj#!jU48cm*7D2Y+UKYevsQt@xUwf*UphJnm-`E(qiDqvZP7D|)<uUWTU`=Sb#<ai
z(!3FdbAcDGtdBZ(;UHWF)rgv!8i!u__hHo{qx$s@!3hKrKRt5ZJ3M6M;2?l+`|_1o
zf}m{3z}im{h5DeO<n1l`JRl%CC1otW!zyj;le_$~i?D#UlM^2fkAT42bLY+}tEyVu
zyNAro%%EZd&J)kIL|nHl(Tz_@QGxHu&dzq~$yWKhv60dA=mv`U=1oj{d)V*azd1NL
z&0*p9R?50cKYk3qcJ12ANENqEp+TEgjw)tkBuQ3QmY<Tqpwi}AFfpBKjHv4p84i!I
zaH3azDl04N-`(ALSOxnsm6(;`3ic~kt`r<ADl5;j7u9Lbmt)XONN2K8Y#2G`^c6MH
zCXqkY0VgLXqF#S<x5c)%$F%8e`fAME$*uUQmWA`xw6)1`ii?ZaOPA3<y|_3zZ=&$d
zo!gj+l3+#^8r3JlwpbT)Ke!V~$@~1}%a<J7-1faE**%McuO;#_dKTl8l16g%01nh*
zIy*ai7hOi{Ja3DMih2NU#LRwtSVnpM`p9JEXO{%-&qsXn5md4<M{o!SGo;VI2nvd3
z^4ps_@3z$YQZ6(4;lqb6?(XwBX}*dvKRY`uCK`P9;nM!$Gzd-X2V!Pp)x_JZ3u|7$
zr4hr04}6a{<d<A(J5<OM7Z(@%J=H`v&IS|FD3%TVoN0~fF)iT{6pRy2iA)i3w~&&;
zZEtU1{QcY9&=Gzmi#-)UIl;~S-QG4gF`?h~5`!NKPQ7m%Gp$>*ZLuznj#Hbz+dX$y
z9_n$BYu~^B>S!WTtKu@sX>+#C`(QE0w$gJ^&PL$@dfaDs%zNoW&K^u}v*GYhW?CBE
zd{>%UjKHB?K5^xevVy`Rm=&6z%C=uejGwzIvgPCa3#lG$<2<X;Pww`a{hn{$QYNli
zPOzL(Br;vQdbN4P{&ULXj_&d&2@)rJjE07W4~>jE_x3!*cLvQ|TwTpks0%tDb(<Cz
z&@tFe|KjiOPgMbt9RfgESRny9Bb-LqWfC?~6~Zu8>}e(DIA7BkZ4}+J^=Ir;ru{@i
z|Kh7xB(wAL(wUe^SXN00;xAvm6q`0*yelMxgN%-j^0+SDw;3uu2Y@nCY5P@dck~RR
zpr#gVRMgt|><sUtMudQp2U#8{3f8=Me6aoX=~{iTN|Hc^d=xGIg$qrQG$K~LTF0&A
zqhn)$nl_c5HPh46>t8N$Pc~B+f5ToqJNvk9e=g~JXJ_S*yS`8HgD2|hBydjs?LQw^
zYIB|*ulbd@EdJ6ndlIKFZ`SWDO;y%;o`@Q)lf<d=bZj>t`{BKV<)Q-VOAl5aS~xiH
z933BTjJZ#k0Pa?Ab&Bw!yKgYDu$T=L8is_2pLN*aihxk3S|h~AZ-no#NGWWPFsydK
z5pn+$sJRqs<dV0m6S)!{7k54rgI}P13E4Y2T*JT~z0b;`7Z<06vj?|^gPg^~)0=Sb
z65G8YEKCKMOab>;@cAPw=Xp9hy2ln4dOA)<MzlYE{8)#rG@1P#9WU-9yt%bi;`Ccl
zbiMIRJderqim{~`p9l1&`5o+8R>6Q5@^*H1^*&X7=k;9=_V=55daj7Ltu*FpWLj}N
zZ4SK(sUWvPYj_y1a_JTuo0Wr@poI_rwy=BoPQ%*n%Fvb5y;cbxzY}kQ>jDJg;^J`?
zKfixhV7hs8s+G>~n~LCApuT<m)lY7#UmAQ4i@mn3kb98uN+1-d*7EfxT;WhO!T+qo
z9nVY!)3sDP&UDu}&r6KXv%AsfTHV|G9?dvd>&l+3mKGTvPT=wMDdVkM_(-wsh`{@t
z9DP9xfN6-D^+B^JlewP>{e<Fnqj$;3$r<SBahReL5?;b=Y(}dufB5hrBsBC3<WfwQ
z5`~PMT>sMtmBRYAxc=Jt6-0?=Ahyo0H=U>J6(K}`_&{*Txw#3rtqeZ1?8(ls9w?;b
zH4W@&7+DG^5C))G-)!feDX1F%(qEu&!cPT}R%|yW48VhTiJT+1Z>_yx#%Z8TY`KmT
zU3BQ{3Oq&{f@5Q&mCksFkCBmaV`s#kk)NN8i;Ii$wgrK9kx|6S@u5DkoZY8Yfur@W
z#Cv~x)Nl;ya8H3lnH~IHbnXAWvJwsn$ppyLLQf7ct?%9x-awyuO)_tXxX%F(A72c>
zZ7-TXS;(205bsQc9OKuoUx(mk@y?!gXbHcTEaJ}f$#vO+<~76~J<j^Kmsjo#t0*X>
z2M3>jy1gV@pxyqk%%Y^UG=@3$C8Jz;dRW*cX=&+el$75e<ZDMCO;oG)-6ckK#`6Y5
zNt{%72%t8j<!Lj3O$piz-rJnkZL1hCvbN1RaOsP;*p`P~76Q7LD(d;`Ao1WJH9A_u
zo{lOH;L)Ki<|aUH4vY^Nvp7HB%Bf$eJ7Mgjyyb+=26kv=Kq;<z-9BATTjjF))x*af
zyd7-vk<=MwWo53)J>%v}+g`P`wVOc{MmJCZlHFrtDR3+dB7SoiHzY$wARr)k9~Vcl
z_W9IzS@zx1p%zT(&Fj}>!a_nDkf-e(K51K)UXtuHH#hIA`FaeSc}JXjXlSThmxHNo
zz}PS4^5x5}l{&6h*WpD0?}TZ|`h1$-+|<|Lf>nNPAKRGn7eC+JH=ekT4F^<dU0pKF
zZfdb7=XwPZS5BlvY3k}?n3$d>TASt2cZ;*ExcJq1V%o=&l1*=Jl^Au9Chpwg;FyIS
zANuU)XE)JM-xkL*{NgQD;?66d&#vfS`SWp%w{KtBn(t~2AQlfn#WD-!5zr^5tQ;1M
zT&?l)6_S#YvKp)4mU(*P(07?xf{+DR_^WO*DSQzH^hNqWnkAYZQMVOc=YD#bu;@2$
z9?VaCB41V7PFl;)znVxDF{cxw|2W4n*+%Kf#Gky$I?du!dCC!-2)QlmD*~Uh8i<vw
zA2_zODJ{1<v8aV%FcswjOxDNUU+GR;8mgz~n4EC@58r&@V=+FO$Wy;5@~L>_2Yv7t
zvOWg&{Z27akN26&mh4RY`sp=kr2!AajB)nvO?_lAy2aHr+=0onJXwfBYmHw^K47_Z
zRn3VXxfSudvRYbt_3$N|2KR*yayI5@HAEK=x4V(x9c5$tRq`Vidd-T0E%}Y$%lFqt
zJv?GGz27#H_%o}|oNcC?{)I=Zsm|By9HfA*RQK!I$orxA7-vEEjv5a0ElSQt5%McW
z-n#-1PU%7~uYNIA?{Re)wxyb+JA0n()@_6ZQAapKwf?9P9#=oJ2&92o7Ym`hRi#D0
zDsd08QcCLP7RNNQFSq1p*YPmurK>cx8iX3M<!G5b{FsZ&arRA~<E4yqjf-WL0p~eh
zl&%RL2da=Jat@Ai4`EE@$e-medA`(Oy@g!oB<C;`(MUme9>{Fz(>Z<1l(G&#w@&t<
zHa9G7YB<e|Eljgcgv(Z;eNTGUHe_^k{CNRYeke{IUeG~dsx|6v>|UAX9xHS7^(Q`^
zg&hww(X?m#^5}z8^IQbX&+M_}9`!YM*{3{1HQ%N=qh@cpBQ=5pOWA4Dbdh8Z&nP?S
zIj#x5f}~Ly8FS*B=kMMLORlq-V+Kz~+3rbi?=Ey;2v-HC`CtVdmKh$1`&Zde+u~ld
zK=c(Ad7o~WUi)m7KmF^4%>#AJ{qkGAht20ne|G-SJ@V_&GZ10O7`hnWp-a?%NYBgu
zNS~Wxv|dQBEn4<EMV!E6_S_TY=i4i!_Zzpuc4gudKUMBXNtIpo*cEsqJxP;3hhgTX
zwT(|v_ONsej3GveOj)=op6%_TD8lJiR>k#9VH+EFRyJP^2()0A42tvptm*5R$iqH)
z1u;%cUN=`}uy=ao`7YrjwNtKiP?@C&+3~$?O8k?x`zaR4X^1$vjRQK`HW@x#Vpn(2
zhg+9Jri}bVDz}}Q%ZbQGWp7-&7jyQ>NTv8}NbtJ@g2wIp)VFunC;c?OK1FRGqJr66
zHrO7nE(nhZU+B>OHWW_58TkB5YyB9HnPVVdJ?#fJB_#)n5Fex=KII#a`~YiV-8Q|v
zC|mN+G#vbXG=~{BtZ)$Q-x9aR<*hjG8wfmAlL-n?vfY9}i+&KjRE}%0>(umj$t*r8
z^G(KkGA$hM0{R$JcZc{h?PNOfcX+NA^}s-;#DvEs2V2fPFPQF`CH%4LZCK5v8o9DB
zr+%H!_KIO$UGarRw0TotU-XiHrZuVGXp%IsTVG<bM0(5Sz@e6Olt^vrj;d5y#J<>F
ziL*TYrcJiX41EKUg{Y898L2YDJlf>YYM*VHidM{>3m9#P0}W?l4QrubVpMqSB-!+j
z=u48ey?N^999%8@xFa9dhmvLF?$$EX5940w5U_DB=ZkwgX@sQRnk*Y+I%&h)d3jKO
zXFYef79%VuKR|C2+if!=AkXfMy6{Kqn*eE=qC=%}zWw;x%*Q*v=4^lVYBQ}bSEA6B
zXJ8d-s>%GGebFXOYgw74lpkO^nJ;)IU;l71@oaioY}vl7`~V|%JeGfq$7>;J!cJD%
zg_<pZn=v3zF6iGoha>TXMd@4e>x@NsZ;)B1Yb3!kX<_zvkgK8zo4<&5l#a1*ZT61U
zYJ{bsa;P!RLauV>Wk-4Yy=IvB3z&v<j{xRFCPhE#UYVT9lE_TolgPpk_4{Hx?l|jK
zosFYV0up51H}~+^>pw8s`W<KN=Hljd@+m)mS?g;sF}HnWt=<(OG5cWb6df<j`46J$
zE59*0#$;Ms+5ZeJLtGr(_@b=l7=K2;U!7p?M)T{iX3-XY{ODp^_)hQ2g$_3>Skc`B
zB4@-KxzK4rktDEpHNyJ0inFF&>Hd72t8mH|B#*KDZ1<JHsl?Z>XB`)p74i%}xov+q
z8D1iy5$<hj;S-L2&4FfuX{;$+O$w~S|4GklyDC#LhPhec4utHYi<6Tu-VNGDDTJ2E
zSW7VhM-;bFmUTOAeSJL`d9?dytjdx<(Y1Q7s<R%aE+sB*7wzIw?g{U^qxlo7aQ1K&
z&b=a@+*`n8QUJSmFK#w{NIYqUyixohXjk+5?Gw<Y#>U#(Si|1C%gD%RY!y9wt8(IQ
zx%PT`X=CrY{~bjWXB&n!2Nx7BGI{aQjW+8yn#8xVQV|~Y{60J+USU%*MRmXvNVFI~
zRfk24vs@JISl`f44YxlEWU8&5wTZPt3|jogejWzB^6vEku|En)?^!G?)#XUT*;@dq
zXK7_+#rsTK0*DI{&bm?h7cQva+-klv!%KWI|AI{@YC0v73xz0tm}g*MxCmd8gWTIJ
zxXdUw8$l~}poGXp$T>%pm2J5oHNXeba2kP&cH!<Jjk6%kNZ{N82}u`A5vO6rwvk9&
zf4R(>Gya#_{L)0+RY5FDIXw2!qVDd~mX*>ncuzJE{x#t2IL=1K*_;{6ieYL*eQBCl
zRiEQ+Y+oufiUq-8`uu6O;0fZQr5JH;z2jz=&+cJT5uU>v&871?Is-F>g@vs+qw=K<
zpS{?8=T{bRWiGuV8;BupW_or*pkt^_q9`S|QmFQ0|B{5D_r%w>wmMmy-PSBZA*;2+
zu+UJOW5UC{<;&+3KWM~>3gX|(mdj+l>A8BdYYhKh&g&nHp5mgSbyb?72v(xlOHj_%
zqezfZaeB{cRqK%_ZhYCEJ*cBZMCdDokK9@y_2S~}<MA`;v9i3MKfE<7(G@?>;{X&l
z7I}1fax9M6X(`&?SM<3!DV(Az_~!kuMVCw*f|KI{V`P0CPLFa7n~+dVRomlXNhdF@
zzF|O|&|wIS3m)+o?KP*4<7LKI7h?2cE2N2c-j$)wH_9|ijHOW>=xcGZGcZh(w6P#I
zV=xYDK-2oAHkq*I(v!FPc0vkH(V9zNi$0$S>$6t8m_3h>(9)iSX|l<&Ztq}e9Vl3;
z(MK7eqMh30>5W{h`K{0!b)OftC+L6v!+KoB%!B8dN>+>gL}G*OkKKOZ@KC1w^h=C$
z(o%Ki(8=j>)l}RTOi*5|8uwbRS?XFH`&4zQt+1x1MnYCzJ}F-UB)!?G>1iiU|71`X
zKhEV=RK#|ZRT|bsZ5f}X)%^Cc?@Aw@d|a<)0pzQycf*AD)SC6z)Cf5pTvVoi#P&Fw
zBxxFmNs8eH#eG<}TTvaKfi-y7oQ`)tO}gYht`<HH5~4CIVM=NlikhvDEX=y;^~7PR
zSkUgEa{%LtPp|hXUWO|I_1;pIVa?fvQwkr$_Kj&{KVBx$G-i)Net;p6q~J@k4A)E4
zd(TeQPN#plWOI%8W%*Ck?3u_ySr{c~FvWm6Rzb;z^mJ)KFY#+)_v>_byc{kE7n(1Q
zvu_zUf<LC_lArMi{g%WlvJd#)^IDroh`-SWvw+Ba?q7R<l;<gOGlTV{_|BDHB_#Fv
zm+K`jljj$_62HJuH)Ja=HFE#fn+e>{InWWVWuBtkjJV<0{Ef+p-rpRVD@sTocW@EY
z`GLK*Ot$QLW5UG($LXWB7jGcpOx-0-oDNMai;ZFripyPJAKqAUl^@uWhZRNp!;0p)
z<PcFXw|L(!?S)L%8q-atW1viWN*5A$wdB#Z%yweta*e@fI+H)=9KPr-k_)Zr7LQ{u
zjOA5vY%aJ~WTeqJb6@vz?Dt?A!!C2@0#T*O(^2KlD>r$9NL1`PRmBeueUhERB1xq9
z<&;V3UZR-H+%{SNb!qpGL!6@_nMs9co2W9-?HwmctBKT-(+8rjn!0VC#LMWxKiA|3
zG{;5+v&Yu^8#Biv3#H46oVE@4lkQyUQ_NaN$liWq<{QUsBaLuPkQJG0C)W$|tF!NZ
z!`*aPZF^LNHXffPZ)MtiDBoY|^gW}A>IMpD!ct7heDEHB=;$aHH3M^W38JlO(gw@3
z)=_^1yGKOdN1?cpUZ&GFJM@%+E%6f`Mi_;@7@SZR%d2Q|)&I9Ob1qAgb<G-qDvi{n
z5^}!W=%yAEPmmZBe~@%DlOs`xd$)2^jaB#5RJX3%bGDjyz0RRWdeOyk;g%PJ^==y#
z1W8f*x0;deYsPYSw~3N9{!zsnXd{iEcKRL-{0lHx{*9)fNNr^HX66U?d$n21eOHo+
zeOBL<#3wmD<d<e;DQ1nEQUIjwp*ED(pTh#&%&jatH&@q`B~ULHG!tdc{@|s0l0GRi
z1Qm%kAnYyH=(GbHE7HV*5GeORG^H_ofzH_6++6QblMt#67f@^A4<h+O^xt+bUUl09
zsHTZW1YM#Kt|bV*>;8v2)pPEea`N5FQ&Us%g7&n0e0(3fC@3h*nx3D#1yW?pZwfN9
zNAM!|W8I#4=Itk)H$bLI60~mt6#>MoQ09k)XmQd+TXj`cqW&V|wFSPD;>pQJ3of;C
zpHKd;H5>{_rb&fU?6#mB|K6gYs+#@zvjnQNx;h?oT-S!e^mKpnuq+K*Z5>@*1+2W>
zFk~|a`jhtBp)&K8OP4NPAG3h$nh+m9xKIljn_Ny-w$ExFaC9o3*GwS><j%9|`H=_x
zK?UM>dW~ZUE?%4lq1m<}yI~s@gVmF{xvTb1*Z}`PfwkRP&X5{x9`D9Vo65=rW22+F
zuctxMe5j|V7^AGL{1{X=A0HpAA|bx{osp^SgH{fofI$CnBnJH$=7AN5V;);su>}MK
zEdKe^30lWS!jsezypD;}6Zf4zV@XCvMl0j>BD<?2^8e7L#l*z+L5J%B<(ewu1*3fA
zV@Jo54gve>DLl5Ug{7q*uFL(=Od#o-pDe2RmG<lS9Dpdrgk)!B_36<iBqWTMn4NDM
z&UiRcTinN@-<6e<QwIG3kjZ~@R*g!ru&{V}d2Obh9<dA*8Fzt>)i*5X<I~mInVp}{
z4l`B))$Pw{O_|1sp_EpL)e4~s5*`s@E-8r<8ykC#grpI))0o-Grhpp98M)>2y*)j#
zAVZCoTVC<;_D1tiD#V~rsK1+=rk<WcN=iyY1^R;Ghbv_q?CfT8a(IV3tL<;tbvAoH
zX#L&UvCz=C4605Xr+y2l5V3WXi3lYPjY_>y7swh1hlg9oyAxGI%nuJ0Zu9a+7u9Vl
zru67n+GNOOmh>B?DM^<#xMI}PsFv*e{M02SC6D%IqEIpUIz@BECSMhPSxn?xQS+Lf
z1x^3Af>uboqfkadYN}nz?zbyy4h!8G{7D_6zDIXC$-}m#`)iz^Ff%a~gXjSp(w`n0
z7B;goRECPVE?|>hRKyK|^<iKcernJdhDbVzR2H?=_n`H}aT|9+#{OkmQVeY)xe(B)
zTJ+i>K=wiE8nKBjU;8UcPyY-Q<a7+We7|-n!_wMta7oMTU_>1~y!7-z1VD)G{fT@9
zv;c7pNw1tM^gW@ERiPRj7<fZMf{rQzFU@=N0xm8t2|4+TtL)m1ZEY8j$+@`~5NW3E
zZ#j7qlm{zqum7o;r$z30c?m;n508jC1m_Iiqeg!m-Os*auQeA2is;6lu8G+UmtPR`
z`g>170UsEiMkcL<gv9dav40koEsLNxWdIWHgzuqk!TibL#Hs1xudEx^b1w^AP4d+u
z7VV{}dUgQ~hCfls+<s*&WR(f1^oXA-qt6NlneaOm^8!v<Ud|6)PDW@X($mu;{*8_I
zmJhMBlaZI7Dg5*Y+o=T7OE_t|u)nu=<M!>IgQm{*cIk%?uR;G)Fq~S5v?oVR-q%-L
zyU^g}d0G$T3bS%?Wj^L;?Q}kGy|gd89*=+$+kRRZEIE@Y7m>Fy8hVvoT|+~IJ>0h7
zlD-ccD7wX;32S0}C_0oP`A2TWwmq(AS^w`f*8mPtQECv4v3)Zh=Q(BT!HDaEL_tA8
z3JMAc3S?*oK0eaxf_5@+mSLwIPL4c5PCpkN9o?^QXH(M0jG!xqsXh~XPB!9rgXZe0
z`qaZ?5{jr6IATEs`c+@h{9hjNJQ}NY)h)9igkG|`^?oH5g$(WdRu?~!OcR&7E0?LI
ziHC=WzX!~_Lq+(cGZ_`obT1S0eSO`*ZShwS4h~K-uNfYwknMJ3wY==?VN5j+Q&PB-
zFR!pzl_$M=b&r^scxS0EOt0W=nMH@Gx%o{M<}32yl#+n+FJ8Rh<KcOguU(MG+oE%4
zPCn+g#ZTyKkO>n-BM3PM)(aqE2YoQ_*=YF%z$(J)0<V~`Z5->O`u^e0tRC{PAf>k)
zSaH<QzyP2~5gR^zex-Bq*#)k!5*qetR6P?fTKH|Z>l;SiQ8Ab$O5Hb8Lu<#qdD9Gf
zw%(TC{_i*{x*sbmHp{EhSVqgpz_4Ufv~+O~Ug()MG@DL!Nu2(Ka&yFI?a4nR$t1BK
z?d_hk-!G?%`_yVw^j2}%Y%fOrtrFJvsfvT9eV>6HdN>ob$iv;WC&1Ec;PfyXzOCM5
z;!g^OES~@Kr}ED<2|8l&y&KFbiL(n%f#~SjrJCZ47cNLDDu!mZlf09SW&95w0JFpb
z1qi~Om7$phK0N~5;?qlUQb)Xym7%?1Ode)lmbr{Z?IcPwhr686qojY>3V@lQeY&~#
z8x!B{xl54_E}ZXtqIp#?Y{y==<!~3yUCIW|glT}HKpS=Ww(sfu&t~BtJh5m2(!_Ut
z2~R`xNZrpM_-iW{!yO$^?`WdC$qI<NOhgfG#2-&CZ{p1T5DRc7=+Th6OE-Bq;_8Kc
zDF*@I&t$2L2tB<22CGY+izm3Je@E?dA&tni!1=c~hc91H!Q|;CJDx`dmbS<q(K|*3
zD3Y#*2WF!m;E$eZbZQfQf<%|Otjxye$vkC%VIn^J%GslNv~g5jMGG+ZCp#^;70X4i
zQ{=JYC44J<=8C#MUUgN166xwI80C(_^$dl(8YV6)I)Ck3Vq`>^V2mIk<6;s2DRqI}
zhhfd(3v+p>ay1y?f%><!4641Gch9k$8y!%-`O-~MN~@gcn+%Cp`fxz8dPd!_O9BI~
znR{`LwDnb~khiy(qmyG5glH%_6eIs9l;>ZiV&HfGXNL6u@^bY^u6u)(0Pc^ndZQu>
zGj9s3sTl-0Ro{xuRI+?|LVNjg$sk6yT(%Rg<5zw3=!SuzA(rQz1BPJEM@bOLmDv%~
zZFAGx+j|lS+X9~q`zuIZZZ3qj2@utwhW}T$SeRPHo1>Q2^5YHr2J`?#YF}GaxGZXt
zk&*T8k4`s-VIXl>6y`GPk7QL>Q$mM<+Q@rDwi-@#y08hc&@US^Cnu+3-(xTNxQ*a*
z=g&*$^xQevUTZky0tqItw6s)@I7UU+a%OOt%d4KYsNsN(jh#KIhRsoER-ufLos|^_
z<pR*$56+a7fT$?q*QIMpCP3cSH#eWlX>FbAhc!P3OM%Pka7E{CLWjlcw{QDBzv<{C
zL8CXgUJyOuKH(ED;%*mElwb4~EFi`cIE|0_n$Y}uQDp4w>`?74)m8QPyIHPm2F`r%
zM+X4!Gc_}tT3aKwx3^bL;5!G?LSDUo9SAw_2K3dSgXHlSBaefCe?Z#6z#u}P)^+(s
zl=uNY^6Kr|7t2MTX+h};hAcllGgBb%02n6;4fD%nWP!9|UN?k<t~EAmX>xOO*MXyE
z;aAorZyz6CtKM6$U%wu-aqdo+{NB;gOyfTK3?@#26npPGg<refqBoJ%Lui@%_5f?p
zfQ<GP+!gI{-16X6z&brx(!5F4B#!y(>gzEjX7ZwcyQL$Bx%!6m2Bbppu!K-Ir$?h`
zpo}*rHui!)xKKE5-FgIOi8Hvklyr1zG1Q_SJc4$k3SrG(08N3?@!h%eCP~2d9jrJ|
zDij|p>q}rVz-FIVTCzfmtmR3X&s%5>K_~MO++7WHPg8|mL&wL*IoR0VH9eXvHE+M`
zz2^`!3-N*PkHKJim$#Kss0_$OklKBcY-6y57Kk-^Rmaqn!PxWn8?T%*XU<@o?9fMQ
zXfcEJCG0oNCnnscLDuSbjppX(x9WGt84=Y){+B?gkEX-8@%^C@DNv>K&sK@zrtM#p
zSiTXYnxnr`oT7~{Upv~Ztfp4g`E>dv%UzcR^~4SfS_$7|NIw6>$yY{eZeJlK)ip9w
zg*~xWZ*FdO1e9iKgM8IJFc1eh8)gna2Ic6>tx<Gcu`Fu8nwx`Q@#n!61eOwA;0lbn
z;Oj6eF#q2Ugoiq40Vc?gkbCBV`B{sOd(1@OS(jj2$l4VTD+;^PB-9Y_eC4=agY-J#
zy%o{1swu{QU5`70K4Yl-v2q#V66_mze5_N5plJ_2CHx4v05$Rbv-S=9%=}b@cEI8P
zy(7S^CA_K9c4Qse#JI?>o}P?>WnPELMymFjlY?bUk+DSG?)cNafzKyFP{}dey-Nwv
z*#!KuplEArtL$V1{7!fQO%_RU%iMnZN&#kxu6?ir5g*E|2zrP1r&~Yxou2g1zt-eQ
z>HtM{+b(V?(X>8<T?yoI$g2Subf9+rImG+)cz0p!lOVW5Na*OIfPDuB1|rpa%cuwc
zDRt}K`zPw=H3gL;F+|lK_^f!GW)+mv#A#rIb!(h%(t1qdD97_O4cl#Bx_0Da)2W@L
z@}W@AX1hr{1xh&Wq&U-xlJ5tVO0JQ5-0wDKrPQxK=1ai3CXmKxM)_jbWo_(eVCY%j
z*^z@f3wZ?I32;qR`4&SHcnT<REA3MPs8h>dG(m@5T~{|GF!1av84C+$21dpbC{NyJ
zXEU&|T?Al}2ZI&KwQH7ySM+TvE+BdZ{a(>{2od#Nf8Yh_<Cc@A)ycpw`ZF{1J#Dr#
zGK5z(CfrJ%)Z^1rIS830`W*Z<dHk5^`1tq(27MRkAr%20RfOD&;NUWl-3ajUC*jCL
zjcwqz+#dlYCQ}>i7Ac~Zd{-lL3?}8};ZdwpWYlX_k$lIR98k=XFX67~H~iY_Y94<6
z*Uz3kGpMk75aIYOZ$mN$OY!LZjvV2{%`!%bO1Znc+YJ^!W5SjmMo(8O`rWuvhzJOn
z{DtYD|62YqtU!D)Z|j$UlA<EMe~xNOX@gFFpA-1O;FxXmcD(3UGW#B%jUHGb>{tT$
z2Ah$-^$A#rOppCz9)ll%ll&5Db9=z}2?*LLs}BraPvC|1&njJxBk0q6?yZ|xi$pvy
zPGWipC3hwUt@AW4KLft9$7tI&j=e$@7)If7ba%Ntcz<@+Cb~excZNDorIrIz4kYX?
zq$}heY|30$TGV+uZ<1JM6(<)Vsd8PAhmdNILzwqJSXlFa&ceQdz2Ub${W}c~^03%U
zYjis_nO*{*iqr;@w<4Sdk6c`?aYlO=29Z=WGdYb-xYYf?xQ6V=w(!g5^Uq)LirFj6
zz;)94fY!!R5Y57BE!OHQ)vcHcxCZEl;#mvabWKW%SOq%h!3-0_-7Nh)ew}jFksWCc
zi~2-u7>kx*g0alp<oJD0851w6hgNr$Tz$DC1D_UF40w8#yM-Bt@D8QpM9#|8Laodp
zmZiNJLaoR$gfICW7UC**cJ7riE|abXV`&%vw=v}B9ShRVi+f>aY^19Z@TTpbfG=6b
zSMIChzdTGHxci;~Q;4OBW_G0Kk!qrkwFLJAnx+F6U4K$chk{;K@M3?uK4IHuXf)`x
zmJ8-DOmEqwsU9ic7Aqhtj2vpZo>ansAwt0rCT^r()4N;e!teu}zJyz_p~|(e%iu8G
zyrG!&s9YS0#Z~T`6Y6>Xl!7~ZW#C=g_q9JS`=8xnE)G4K;K<^MYt$*eQGcLxJ2;cw
zzpTR`1AMbKyf0^=QzlYNglYJ08UF8lv;VeZ|6g&Ge`B-#|95#ZjiG-vAFbB{eG#-e
zE&wSL!rV{DSM~ETGcZU7TBh1M?m3@g7RmKa3|euFP)B;PW{JDF&~%_|(})o@DOUNo
zU&$v#_oRBBG4YSYW4*<H{``sLlIDK~63YWHZQQL5cl#g7bNZ3PAC8W^SH?b3faxhN
zQ^_#|bOZ(<8zv?uV1-dDm~RKm6P(1Ep9!}CWx)z2=J1tJaB|qXsG?yG{Ae$l9u=#)
zFZEsk_`oM1_=xETpIG|9^76+SFyhFAPp(kCNXGdUV~1Pb`}b$T?d9Nd&2JDWpyTwn
z3!f&ctOvM&X<Ro3Cvd?$RPx0(LwwZ2F8DAWrGO130p1yan>*e+Lr?k#pe;ZlBqY?0
z=JE|!O%;9VcX~K6SnbHDpl4j=cj^ne2Odb56}0cRqZw76g@#^y^>HhEue6lUWuY7A
zN2mQ5R#<?=su-6i&C1FGGMKmJLmqbS>eZ{Rv_5@(7Eu2yGshZMT#Jyy&H>i58O(O-
z4<BC8(a~An0%IzcOk#KMu88qbNH`@g?tq~?4eS^V);kBTxid)Mix;MQ>r?%^sW2VT
zMx;Oc9+OZ}S*7@GbqJdE=4!b0vFb5HC-SF_fEj$^uE+WfV2^l&RDr+@zV`K9ZH=V)
zicQ>L^o87AT+E}KBtXcnQz!$g=>VJtx0=!kYmKz{8UL&);5^pPg0;*-p;)fR39?2+
zZtksHS?fbj(x#H^8=4>sV5J(c+x}f1AjT%fS{K$obz7=76Ad&VHo~@jlO`5BD=1jy
zHDUn&r>LZ~(XVfhb$wBad*5x?o4!O1uJtI<O?;#`5zimQ6$9742h}r?BCnE@!{Oy9
zc&`zEaFKy?Y~~-*qQ#r;ZgnuTUILGCe|Oz|up@eHF9kt`T`PwUt(2B3qk#+*pm~wI
z{x2z(>sxeCfwzqwG9{!PUQjo99)BkxqoA0nnNOA0)uoh@mX3b)%Ky_^!*x|v)w`gX
zL1<t_rXN2Pv7DIljulx;6diHBQIy}wR@(Z;MiUsMiy^$~z@z8@W;h*VAFKvqI`t(8
z;i6py;&~CfJs>0l%Oa!}ayko!=e(*8&=y5c_GaQCNrLW;gMe6->&WD_$nUV>;yGAs
z;^5}ik}eql1PR9)ZSmyE*P)?nVo!HII;WgFd-et+<JUPau&#fBow5FT2$V`)PfyP*
z6&UObf@{A*IB)8aUhA=$XI4$d2cZO<hYa9WgDpRU0_(f!_gD1Y%iG_96_u6UhIJt!
zCB-cp3J3e^nQD(-0gv@Z=n6e7Qv%5i>u*!|^7ZQ(>0qK}&@LrO@d9ul=>>qJ6S&Cw
zLS|Hdt~r?59b8>y)5Lv9C@Dk0#h+x`e-k(y1b2b^!O{NKUB~IOU=>9W>@XnWsNcVT
z7J<Va92_iP|MfEHoGl*ahPCc%b~N)J-wiBBr==OsI9i5;_Dh1WRRXnQ29#O-i*Qn=
zyECNK6{o<<+zPMKUrRyXvVcCl&x#i|6FiqwfE(DEYHat|fZ00t<Hv6?H<he7a-c?C
z-`e^LHouSZ@gPr0-@i|0SGOUzyqp*1Y*nEbugsieYZRFmW{iy&|1h(UOpfc5lHnka
z8P>W;f`2w#j<H<NwqW-ZG|%nSM4h&d4%vJ6?nQX=We>T5>%#2j&6~hK9h{tSkt5Ky
zAwVR74^-MuMCPP={qRaWfDh_VP=LS*ro4wyJOR(2BS>m$Dzu;*;lTj3m?k?Xr!1&h
zAj@JoF#(M*8Gy)Ol|3CPDJj-!uRl`Y>!Rbz|0KVoy#(+G9(tI{PO>ZQJcJV15yAyK
zT~LOCwDX&*CVa#6?P{`Go^EY!I{X<Gf-_z)z5_}b5v^zlJU?Qr?ep$;Y|ob4Pt%e|
zQ1c-EA3t(Xi+fXIcL{u)u+rzDe7%Y|05^iVS~p-N(Yo*%3_aJ8beWvog0Kvm8Ys97
z8X*!TNr8X1LX{Z_wEFSm$CJ>BmI1UA6%%uWnG1R(j;JRgle4pdOA>K!p~m<5^J@`m
zmT9OpuqR8{{f~_g7Vf~x_x;C@=Q%knEs-=~*!mSbwEgT`0LxgueXzS0B^iMCaOAVY
z6fPt<EFXqEVz$5ed;RZU;C3<*zSvq@Sgfn7tLpH_X9rOz_FJKt#ij#qQ08uNayDbl
zt-!veSc9M@o@rxA3j~$Bu;IWeoa)X+I-kFnpFe-z{XvUm)TKuS`y_<%>4A>*Q*ed1
zfOR_<N-!)*zs1Tb3Ah2%yaXuv?VAidL_-2+xe@TtVLrvZ-}9nDN`U~*BRF!pRdzIh
z!Eg#3{w`=>j~At|%Ppig{sfZPWol{yHMK6Pc5HESbaaG0_{u55SAjxG0U~2nijRh$
z$iYOwLrH+mS%AwLGa(*eO&tXDJkr?JMSKR2pwYH!43B~$j;bANEMJGa>Rp=9QWJZy
zeBY?tW_5|BXaqV;)mW(}Zj137h!qg4c~_aS3dW~TpSDxm-o0Z0QRA{A>w=3gL_&3c
zGc^K7NCprLp7WVpUA0Y7BZc~uhbm%Ws4T~D*SCLw8Cm93jx+M!&*UJ#<mBuOe%fv@
zmFrdAxKlOZ7w9pR_aL8Kr2LheY9#+TVQ`4gdm9^1=oNi}{lmgC989m)oxDPSV?|bT
zvENlXKDM~%(jt0z*uVvn4r-XZ0NbYglq}&#i&ds&WX^(vlG-qmqyt6_GW6P6c_|x4
zE>ufEPc8Q!^|NrxN?s^cbdLJ3WB4c|<VFN5LM@<@m3zg3R}9k7ASNq>`Tc9*xdp0!
jd0gus4{nvyp3;4<7`(61L3#vFl_4luRhdGmN6-Hk9ug+S

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map
deleted file mode 100644
index b9bbc8e..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::AODE" name="bayesnet::AODE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="29,226,149,252"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5
deleted file mode 100644
index 349ca86..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-6e36b83aa01980726c9835edea89fb3f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e__inherit__graph.png
deleted file mode 100644
index 84bdbab593f7163ed7049b04da4cbf725943e61b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 10014
zcmcJVcUV;2vgS7#1VluMlB5BZBtbwj2A~xI1p&z!B!lEEC_yp^s3a8;k(_hRNkk-P
zP{}#xTRroAXU@!-d+*F2=dqs$*wW43t7=vK-nUkel7cMh8QL=lf{>!+?mU98`3QoA
zMTigIji#Iuz!!Xj`?7bCQ_R2jRcX-(!i1pjNUOLcERT7rsBBkDuI(~h(nBdpNv#o)
z(Nf?0OwF*)s~r3+)#LI__4$k1V~!ayMIWDWew|roc(7<RVE$744NB-%uVrGgG?`vA
zZ!E6FsNqv=qFdNF8v;I^4PK`w*LU#r{RvE|$Gmhc@*Gx&Hph}zoon_t61xx|CPLr;
z@uEi$thBbZ(V*@9`CpO07>_{B4_3Nvwu`RNIV?+~Oy#1s+G=B12|aIbFe5bdyN*Qm
z6=lz6MamhZ=L%S4!yGDf`E!j4eGLPdh`%!Va(?k8%zuC8a;xt(%muye9Zj2yR8%ai
ztau~ERt2)+LU>PN*SC5Vorh-^7lWS^n2@$wbqo({RGu6xUb%8b>i&IVHid-1PoGdB
zH2nC;_wV0*;&j}IG>a{tE2I@1?pv6f=elm1RBp6$*gkvK@RFEn?c{Kk<??0h6q(Rl
zIywwVZVOi{k_TcJlOj1dI3nM@GY{8DxF#lc>E_LwRU)df#+B>MbYHTvnygC3@DmjR
zdeamQ$17c3W)qz+Y0SRmH?<wmcAlE+NeK)MZTgXVe|;ug@-n<VO)(iCp(eq{yxq*g
z;+Y(&m6a9Tu@7el;?vl8=hy7)%+837?1KlS-;%@^BQ|%?PEJl*3JPc4IfR7bu&}UD
zZT|lF{R0Ee?pp9m#!prpE0z})7R>V0%a=;jIV&CJqxxpwcA50|^=+4TO*I7Y^Ya&|
z-FPd{hCNv{Q|K`NNFiP@t7E<YU|gB8JmcBU(ojff=(5x4(f%en>i6&8xZhJxkJD4q
zXwiHE0<Y)i=LN&_oaoW{MMW`LSy_U~6Wr|V0YgJWc4vw5b8>hFvbFC!J3HTtYGl11
zo12~<gnIk-ZQJ+nN(ToAKf1fa=>#pA(A>J!2|+<Y_e9yEgBk+JW>1a}(NTDKcqC+G
zX$omG-#^^muP5fYLN&$Xy-zF~&hUVThX)@IZ@pr*ngvaH@nTPJZ?vfM%BPYNp&PWM
zrr#1Uix6)$?mC<J8Wm)1Z9Q7$E`+v+<fxoYa({gwVy#KMG2Ilr|NS=E)sg-K>kP8u
zg`<I*le-8fC+CtqeS3Sm%ifxPl(ygKgh-~i>Z3>X%(wk9w_jk|{W&<8SX^9uf7l|2
z_r{Hw-EnuDaL@EFU*5;Z(@E}4;vDSltp)Q`&;3YS5f*4g-n@C!`tBX=pFe;2goWR<
zwY8zzt}1`NE-tQpbsX*+9<#Hx^?i6aS*Q#Pnva7cSVu?4(#pzMS(yR{2WNjem?yui
z>}_gl>LpPpPUT0B)KygO*x1-WjC;)l>=*m95_k>q+cKo_YfDRoX-V+^%+B&NG5Iih
zZbfzpwq^6%o0zcadT#ewmyGx&L`2kv(g|&p%_hy@kcrj$_#jCVo*J%UMb#q<epw>B
zs}qW$GASW%Zw%m<Njh$sB#f|UK(M@ahD=dy@TB38$*Xxh%Qs|XWg&Am%T0|c#)<|@
z?N~fKJ;~|mLjxGx2qD4|#x$p!lBa%fOLN<9M@O68n2j`4V4CN$Zt$kd#K_bX2iaMj
z2siGCts5Jo4>(Kj+hf+~Pf90szPh?PFg(2FISzr;`L3=mm)$Yvhsw%+uv=3@ogjvO
z0RaS;Sy*@tn@JMH-TO`A$DS0LktezSp~)CQq|T$5(dYe1Xt1MPR;zZAT9XN@?K;&&
z*hjX`&H*S#*WQnhkF!#QW=5mOL-u32G;_^*E|*qR?4~bU46(LKOG{IWI%Ve5lapgr
z=|D{UZU>xY78a&{`0(Lio*{vjmKK7ntgNV4d)$QkCo32V@gpEJ===H@@rjB$4|`Ys
zodA)(zCIx_@ojVSYbbPmsohMjX*YwBk&#|wAbDV5U@dGr(Y~40)tn>UwB9;1fnm#n
zn*J=!fSTiFo56fzV%T(kqoZ1t+x?nfzI@3Ya@O?BeQauGc11%&W9@i%!a4o-Y_fOr
zpRRc6{N9t3{+@Wd6|_yW$B$2FPxIb)i`B>YNMB#y^|$ih&5ID9Xm&+|t+}2noSb*;
z?fEt~H_74Q5JDoNhe;*oeb*YBn)HYAjla)3v}bX6dwcKg?Y+;;l%IESbiDB{KHhHr
z2Ww}-O$rXR>=!yYviI(tVQ^pK9d(}YyjMZnb?WI=tgEhRHGKb&T?vgQ`ug>2=FXTZ
zqh;Ux>MEI{qT(e959$Jwt_6n`dQqpz_81Or30^C098Jfc0|UFl->PWHWW!xWD>_?E
z3TQ-~mJlRC#PJNl*-N$Xs}D6a&OoZa@b||?&N7Gv!UD5uJ^R!7yrM!B6K@m>bp=bS
z)Rq}4TtsXve$*8Xj@$C`BtLq4A1W#N3=XPmReR8Qd3gl}1wFLJ88XOtfWV5FSz4-u
zb$4_$v@m*GI?^FqZsOOjT~m7a@HrG8!=_gksU<vwKc=Ku{q-PIQ_rnNil>%KCYm8B
z_4wZE3DD-b?^;)$o*a&iS1jAmAJflPhm_sko^2X`!)r)QLD2v^%Upn#4Tbt{Ch)_E
z&+c2o&8^K%LtESHGcz+~UdL|u`1tvil?kY~uV3Fm#GF^O(wusK{Fs}Xs(Y9s^Dv{&
zetV(M(!wHT$kN2YK|otun}&v_Eh6IF%5YIeZ*T-e<H~YlOUvevX>!pJ8`^p>_qj-7
znEUPuE82RrG?Ic%UTJu~bnL_+XQm}rzrp47cy|+Ocsp<ZfsTfTc@dd--_;I2A*<m#
zi3+l6YHH<WWjzxUx@9A`oxJh}CPdu$zlm237W7eBln}a4=T=bC$Hc`IKzKV&biMXd
zmFq5Eyx5*qm?-LO51nnSc))9R3QB6?PDg%cve!WnyF$X;X4O**t0)!jO7SO)?uwAZ
z?5^A6i|NW~>RMW(8N73f^aK3gJm>H0suSDCsfl2^Mik0(dd{W@s@qIjvR8ddxWuag
z9e2`TDjuh~eOyOj`(K1|5)R$syAB5r+0&|?e#y)vQIyz6F?b)@ksC~v5B<)*>wV|W
z9VSW1i6?1PDl(O!%1U_TM$#AWMBqKnEtipi{E_NsCLBn;A8~`W>u%KHwp$hd!ox)T
zjy}d7>ggZD3riY5Z>98TIXID)Bs9uPY_96A%_oIl$PQ3v5v6_}z)BP@TyeH&@zkCA
zB|}!%FJWXBOUh7suEIOQ%gG-7mDR+E;NuHigbiWqU}_YtV7Ngc?Zkv`ZeS`z3eT^9
zDOh~SPi{nj?wnSUBb?85p{rnvR!&fl`WnO}8YtgLas8SoVT!+j>(rIYt!LLZI)2KX
zS4I0|<SYAfpu`R~IxZNlAO=eG@5Rm(NaH$eM(ECuz3J=nni7Hc`;at7)5l&sZ9$>;
zW_+j|h|ldtE?XXx{nXg{@*J0kBS1h<u--;D;ivZZmtN=j^AqzZgOLnod{!4Iz%Oys
ze{f0T4t+DCA^Kixv}{MJA8CvtF?vvfomZHf5>PPrfz=#U`)AervTYMee^53Ub$I$Y
zO7r!b$mQ0@&C^M@NRacBE7xuxHD=M@Tn<p|3#=tVh_i<hk49>|t4wNK6tiqM)#IB&
zik@`N?aNKM1*X3IUmW)@VE6C6;B<U<LN@HuzIa>O^3b2Il@Q}!W(cA4Ri0-~Ttes3
zQ7014E2FE+eM#EhlKGq+DJZnY%IvIZw~3AUv!0!i)1wt9b7rA)&?KJ3?qZel`i*jn
ziH(wXow;WBtChT><ZAz4eEKhsG5M2;3UKx6)wZ{+!Vj#hxO7~m@J78)kKgc{o;`uK
zNdeuyeTI~j)MX((?fdZXLd534&!3a&X-T&<NBRy&skpVIppx$_j|5a!iY*Q1H89UQ
zUP!|)%g;Zbo}T`VvyQvIp&>Flx_5D=JK?5Z#Y#B_o9<d#a>jCNzhd-0BA=R?681b0
zKx*}_PlgJOEBTt({5PmMej&f0V8-6weo(Wltc-+^kO?g)Adm~)dSu4j-26(1ea?s#
z6cX9srXR*NO$Jk`_v11px-A6@va_=Xtj;n@BmfvxWn27(ls~>L4Hew<KJkb$a&^6l
z<&fSmtUkD)ta!|d!NbpKX(M9I!!A)q78V?unwnM;HQIo=1#k-qiE0@K6h^wby4l(l
zvCxZw@$ScR>H{#L`S|&xKYaMGwY{C1oXjX>IVcqcE#M{v1x1XLJR3y-8RNI(!`)~U
z@tHH!3=9g13N0UQ2W-5g(oy0*(LLFq3S$s|2mD2H=FBuSIN2!9Yu7%erLjXMprH{#
zMTa^b4S^9HsoeY~dKG<sY;?2~T0zvWVyh7sC`(ti9Y;_8L6Uq7#>U2C9(&i@vZad!
zDT@z`7W1Hqou%P>@!-J&pcg@HEv>ov`8KF=p%A%BK&%+S%<Za=AAJE^k0$-d=4NIZ
zc&hh4ststz0ONrO=>PfiI>3HiU7fsw0vlT4E#FJP@b>qvZf^PS-}^wH*jiuz&|`)|
zn;0ASbaVs*ms^^f8|djV>3Xc+6%-OGC@g$!*b-(8y*&8UtGVUnu7d+N+E5wmvGN#x
zlTIer8?6X66_u=CUG3442R<(D8r0$ZA+{k$nQxt)zcO;FhnIH%($jm)UJqxL3AXk(
ze@v6u{yDLOW&u%<?72gO-l*CgpV^x4MgK6F7_kTm3o|h>`I9Bif}@8<2j#C~2(<8N
zFX$4Nouw!3`JG?CUi<Uwm+fG#zWn|Bh7k0s%F5SknVKbG7X6vb=#{aGI7qe3jEs~z
zz4vu`lg*)YWk7C8lHN&>U!&EYqTa{bYVbkO86C=VVT&l4Kgl;DO7=c+jkk*O)YSNt
znrgQ;StsyTUNC%-+DOw-KSQx<-bPWnxNmodHk?6xIHS7c*`0_)uS2dYR|sK&9v6e=
zdq1!Ui)lOeof(&afaTh?Ge9XmAOVnC;MR^fo)%aLeZhG6Xz5IiqBDrnqes|&bw225
zHfByv5+Fgj2M=DN(9}ZKmoQux5<(I}&5I2PChW0io91?Od>nJS=paHJDid$D^Y|Z-
zr#-Q^z1b~kxcR4xY3ON9R$gvj+W1xpd)55mCv^0I2#M2dgmcaIU4S%5>_QDLWb#*A
zG_|;!z!_rV$b^Ith#d4m1i5wV*6Z0UxHCIDJN05q8V3>jKi?9GC(X}!dUz<Qs(vPM
z`hNpG>k@)?)p*Z~l$7}Y#C2PPVf3Q5zuRNDlbMQ}>s6B%78l)@Y!sJ<oMr6~LM#R2
zW87oY6cXzJopSAe-+LV!TR$>F2b&b}0doHM>C+vefrOjSCRbL%Op{#kiHL~qArQU5
z@^TS~*mD$Uv2zp@ep_1(7cN|25)`D2<I(kp&23;{@OnhCc+i{zfv2aXql=l@+}K!K
zZ(($<SpKh&4O3Lh6DImG)yDg9B(6H+k#~QqVRMK+pd$`8_Lm;BHxUt1DLr!0ZH+gd
z{rL_u6*gN)c=+tW_96{6b?e54eU#CoN9VEDM$4Wh4nMemKLs?2Y$)yBEY*&_47Gx+
ztWcAJw>>>Qz|h7<MyT7jZk1XLWGh%S@7zG4oBtbZD|6C}HMSlu3<98o+;({OETyKV
z#(v=CQl(7s4N7PZs)s-0Pj(7riu;@~c=oZJ%Kd-GvtFskDk@h>emJd+wz+QpaU9V(
zOboz4)G$v6pZCE$dy=r-$L`(FSw-kaL|VFq#l;&x)0H{7xmO-@^<$!#omN9XwBW9r
zF4F4xP))4`c7xr~-a1Cf(R)eMRjarTe3XRHto@2soQ5@T!LXlpm@SU&fp+i-h#V;|
zuj+!1bJk2kze6|)2hK}Vsz~ELQNjzzjHF+8C&sO#tiXQ~^~n&$m~R>{RKfWB;S5tp
zsiD%{$O4P9NVzD7&Y>HGo)K@_1}OOV%L^8jL@Q3t-~Lc=k;Y+t;}$C-AZV~xE!;M}
z^zP@q%E4z$Jc^xo*GXz~Cr)^T0}1nSBIOW0Ts>cWZwDuFbGBH@v-y|(vUQSxf)tSm
z#806)H<35W(2Mhck{x($eXEi2OP$s72(FlhmTe8c#Ul)&MWRr0K4lHu!MG^lET$NW
z`@{r$ySKMqkG?0Ebn3d@%)xi`!{Af%N)r24@|#F{Df<S$^Y5285MDWU=6)j9^d!Q3
zmU9_|xfQZTRGGAEZq`@^PxVbL&h{#@Or1xlI8rQn?h(3~MyiPC#-zssMai@1<DmxM
zT{gpyCDpoHf=_Pb9=#TLXOWj}^44VJbIy5HrdUd+!V`|LVs%?A@o)}pt#g$Y&rv6V
zpArLUhQf@9DJjgb^~_G0^nUf(C_9f1pfs7h%vDQWGrJ6$hdE6!;7Y;&Pv+Ubz{$V=
z!r(HM=j^Xv33%tsb9R2#BlO6mV4+A^6y1+9NY$4^DIcVF%y1C_+E7pdRG{8=%pWQ7
zR_TNf4-aR1*JmX!Q5qp@YimBRDa7M1sC-RL#VaZ*a<Wj&jKq6<?(anV2lFp#2ajLl
z=9YnO2Tl4<NUvxYC}*$~dY27(YL58)&(e$3UUW2BEEf<Em`sh+sRvi!eeZmNQlgc@
z+rJFHg%IVD$1X0yz&~!DM*)mpfs9^zSYS_ROUQ}j{us}5)F#2l8F!f>Ei5V`wS8PQ
z^O~kCrMX!qqA`N`cDb0UrY12XBct4-iE6ATy1HcGV3`RdN-7#Zk%8*#PsTXDyva#P
z{O;Ym@<f^ni_MMS9oK0?J-;qT$}-eJ*>M;9rokn?U8gaDRck5OV8nNo-&|9ZuG55H
zOiZl&lEq^A){X~G+f!4a_%1nl`8!flNM%)39{71+Ngz_Hs+9Hh_2+15Ux6?cJKpL=
zd@gdR>W!5<CJqylkTinUI)i{g(AXG6L4M%^F2EIvot=Y!?DK>8>rPARAi)j5ylCy}
z!n57(NRNx78u!?Iu(!Wo2O$D^f6LG?rAv@qF)0N4xY$}P&fZ!B85S~9V$%YmGv*+B
zYz3`Yq`n9qQ*dzb6x90VkrI~c*Uv#u-|J02c>#U~!}$0(HJ=e-lFM|Ej&@v_W$5;U
z<q?}2u9M$!x`T88ow)xw{=7DR3xafOYs*Ml8jGKg53uPrRPd<I_V$l(w?L3XKYupX
z)=E|HO$S?ATbn$6dbK5tzT@@l3m5}&WF&rjdmB=2wA_)ywDXNLhWsug%}q@`de^T@
zN+yG~dNh|3Zdr_u0+Ybh#N_jjoX$@9>Vt(0)e<Q0)O2(mH7DCSi4uH#d~TUds*G+6
zqKL%NTEox9?a=~LGA!Hm>88xDU#H`Az0e3;6wJAg;oe-R@GW-pp&+VXPIw(!<!zp~
zxa;k!_2|*ZCHIxGSz)VT0S!*dBysoHd`{5cufSryBxp$uX2Ia_@IA;QRxvOEXWreg
zkc$HOp9-eyA{f5cso@3IlMJ^;Vc=|ca#}_PM~ThEH(l@Jn0(Gna90xRpH0={rN)9W
zyS6`@Try<hEWLu3lOu%Zue)K<?{MI<*(KzTc^1pQp>dN#b=_)@x5!=-mF|^Uuu+a?
zB~PDjmOGHxE6)6&+c}%x+yBq@*>jNPxU`}8VC~gw+En3zl_t7cNx{v{jUeC%bLv)K
zI^12wqz49_JT}_c|H(m1?{&pE^ma4N`rS$5dxsOJVc`G02naCj{ro^Z-zdmlt7SKE
z?r&@w06ra_p)IS>u-yJ2<XD`OPC#1j*47fvm?Or9J`WoULfg0aBa)^0x7$sw*1yfM
zoNBCv|37M4Xxd$0mwxi(?Z$L&c{wc<fKrF~^CsUCf?_z-ZsiPMh7jT6JJc%`s}iYW
zVLYmPBO2YR@nJu;xrz_;G8CS~RusB&IjN6mRB+SZw9vA&TL`WKXAD6U5=CC(5S-Nm
zl)A#j^%A`7Teowni}ok${H|QR`Vik8qz71-E&SbLelK3&{>J9gDm~}u=qPvpJ`VbI
zObjy{8$Rd&%zOiM9$4xml9G~*jg42R1}QbIuzgfB9_s{RNx}3&;$+V-W2Cl^SO;vF
z-zjM$8pQ|Sl@mSnm&><|wXDrOwOPVx`2Bf#c|qm9mr2pTbqgEJ=?82Svz>2m!>8gC
z5b#S#BrOi)n1ZP2=;%O4q0wmE+Gn%h9L<HexI!5i7%tr~zfh#XrIw@9Ra`9iuFC`*
z<KDi$n8?UT5+b50kZvMb_eTceQ8bK<-KNQ&;Nzmo^c(OO97Hgzk1B)IRd{n<`swWO
zGT2_&b2~G8>obBDd3^+$jyfYIhK4LyxnI7>xn`?o{O(DSwbF?Tv-p+NoGPTUZjh4#
zh^G4ZvExY3jx<Z#t5;{*^W~!e*4Sse;s>nUmveS_bSej*)^K(l&8H>1Og9pxCXVO#
zv!P)w(qqK8onCdakPbtEB@T;$CY@Pj?TEvV+1X)GF)(+r58Fj_OUu`ANVHX`FW&$E
z#zA%mC0`CN!^miVfBzfz?NY2U75;oCb(X)US5De2LPA0*<>kXk56)aOUR}i==4#F7
zj0ZDv%dM*FoeCa*j#m#IYWpa$Q8S`#2#>I;aECZsu5;Snbl`)NP~UP%eAJ5<6XR_8
z6KyeH-i>($efa*kUf-?ELJ5Z`x3vDW!Szv9fyE;ZyMg-W4z!#&@3B76{PbrPmyn(l
z0=T)nMu<pZ6N)YUvR8S)$#v;h9_K;4k(Tc#dCL4IUvkD1>8}pv`qwaS7BBgF)Qhm)
z(O=TEjW;nMB<*xA$mI^3mdKL*hd(8${(8;^Pp6R6lN;XbZy&x`X>mR}+(qBT(T*Mt
zq8Y*xplrPDTNWQ6|3Y0y7)EzE5iZnsoV^)ub6{EESH9QuA<R!?^{OKrJXutoQ9YGZ
z$X_r0PIkG~i4A8x_t=Cw8f-K&74ecYfJ2vA(e*4+B^|GvG|pv6zoHs;Lit+CE><_L
zV&P)t%AJ>w!i~m#!&*C9O<If1v{qt>CrZBRRlpJ)qK`OXNd-*Ya^yjL_R4$n8gsEY
zADqkX1}XwL^2ZQnUg5d_38{ax!@t19zwLs4t#{T^x#J=w7B%1ZSx3tI+Ha{4P`@jx
z2Q0#*tJR0r{ZdJ`wSG&})A`D=zt?d*bxdhqAM2`}vY>+#G}~%>%mik!MkOL<9h!L#
zoQOzB?kFimP$+N-59idJyn?PAmlR&elPB{RhX0>W_>%5mb!mRv?UK0Lg^pORXHHiY
z))#YXE(-}!!Q_LQ-$XvHB|biW9Zc})`j^CJR#r`c<Se!@&@`xjLDbHR(flDYDf!|K
zb4o8>ykJ71J}GO0-Qr)TH&-0yeOTh%0EKM%Cr3-^2h(4`MZbRkzF85nxU<p0GXopb
z(`#I4!ozQA$<pI^dqA5ZBRjhpMk4DCWRmb%xG;7KfccR3>8|$-<LO?2{U~hthfkgm
zh5lJcmGC|h)A2rb{FIjFM}PA5cb;L3Ep#>jF~|K<n$hq4_Ofc(T3F~ghjQ-l8$v>c
z-~vQ^sy=p|jg6(mT<m5E`uv&A#nsjEQ0z&p9aLaz)AW^Lzy$vx%N1oSwrC>Bqct2#
zPIVucM!(O>A_a4%eWt>B)gR_|z$-)~v<};RP~m36L|1BIEE$}edp(3s=qz%Mh9-!H
z-{eYnmF*OEvGv$1XlcxRe2<1sp{Frm1|!OeLa*o~S}B9^zyK2VIuZt^V*`+a4qV&S
zg_&m7u_t?grGP*O{qp5Xrg|Rs)vH&j#aym4c<t#UYJR(;&$^i<Bp8%G%R^_PaatWG
z1y?dlH5g{-mq9Q`@!g@j2ZsY%FlPZ!Q?PynC;Q#rAAy@OldKYJdN5N60I<8_g=Xpq
z7#jh`!utDFA&!$l>`6Wq6%~DgLN?<eut=51J0o&(a<woxUjr<g?tIG+mJJT#Fof?@
zUw>=VX~fE9@;O07e0(tccyzL>cIx2>tab0+y*11Xm)V*MR>Y=yA0K$`UPR8tOP4}m
z;4uZ9w|wDO{17SQuRniG<f2}v>A2#>#Kd6c7LhSAFJYGB0Yga4yc~pT&tDUJNX@{I
zkUJV0v?qHllJ!kZc&6P+FCkIDBKh9m?++<O0c%|U@ouo*b?P;k*w(eQ5P&DM_b1+F
zt)%9d6zFU3U@^yTvK9-)%8FHb@c6@*FNB&U)_0AKSuu=@8ArhYt$5f39M>ezohO+(
zRkYxqB0l6SG7j(Za>nqpz0#8<JVo$HX<xKOv$OE<C=%J<y^DwWIg&-zNz??~18C_*
zH?zU@fC#&!d7d8DoCbgX{8`};8yow&<HAoJt*f);9|l^NS87hZTwGi*Ne``3_}L#4
zxy!t~<jQFZFYENAKr3KAw!QrxcssQQd6VFwBH7=pA@t8xGn(MfgB8UKrfLMR5&^)w
zKLxvj4=O~4rTTD16r=zrK!c*>u|t{$IKgM217S`;Ff%j59HkHd5NzW-y*liS5inVr
zA$`tWyoiUq5wxQHmM9tkCLtmP&KxL?Ozu>9Hs!Q!8)si%-`9@ML?Jz^bSCC!hV>@C
zSntue&VBztEok{BU)=te96&Hx1d0gMK_jdO6Z*VN*rjwWYDiER1%1rTJqN?8+8_${
zT<b9rL<){AfY8f*+WT2ymgvkG-<ldp)f}Cy&c^4@pJT$W?L3xxX~1qQv(Fr!)v9=i
zahb<f*Y)>BL~URR1tx_Z<{3dY!kF(xn~|?-#`4AySl&Gg`5(0(KfdVe=O?;MVPQmI
z4*%a|@I1JqPe?_((uG_?LIUQ84VdJYJl*eZj~j$<bzF5+R4zCz52toEVmvDZtS<<U
z9@NP85O88&0Nj9V)Eh0e!z>f%x3w|n31%)XQdoGE;bmds;%>L%;iYgeP?%vaf~#DT
zzX}d2<`@Yj*j!MoZe{dMAFkH4KrBVYOMogt&8p`ayzJZQGT{$nlnjGF>||8a^^n#S
z!eD*EW0MqlUs-txMr^g<p(<%=2G{u!81Ah>Qo>(-|M{~F(Et?cv#`RRhda#IuH7RV
zq<0>D4(0BWq}L^s-TsF0(r6h4pb6w<6VUlf*mN##ZU)nhLE>IPE9nmqTRXctK-$+c
z_wU_%-I6_qDYE7k7Q7byoFsID^80~dVKR{9?HwIc^YcM?#FUf0ijsH1^s$%y1Y-zH
zg_86VgF=>BIPv3$FXYb8zP=BorPQDa1He)T2|kd{2rjsGETvmjb+@xt!jyk<q^GB+
z-OA`qkL^A+GjsELSj$j2E^{ji1t$h(6ul29w6wL?D<+Q5VzxD?)>kkqAfXqz0P8B0
zpP#?Rc)HGb&%ME)w1FjD%(u#YcN*FbWWpVYBGhk84F%Z-TU{UItl872b$(<LgUfNN
zVU|Ti2yC(@fKNy(@{1Q=LeH52aexUc;xK#yCxFNq7|tpxb}P(cY*sLCBje%%es{zf
zg0jPu<44NM>rg&1Ra+*79NsSL;o*^%bLntrxuM$g5J65(PT*KT1LMgWL1}rplL%(`
z0LJnM?&HJF<kL}O8vB&_kx(^Jm!-UxSKvf?4Ge4>dU}e(p@VX*NjSg+g6DUVHC(|Q
za6m^zL`VBUz#Uxc@DZ5az#e`9S{HPG%rWZW<HvZ>ZI}YIGe2HfB#3pTWHa0Ixnq^l
z6B*bAP!VK8sC#}pjY=IZhi<d3R&FZDb<2))lS;Cb(1|#hl^jASDlQE`?4a7f>T7Cq
z6i>L8#-h;e_Nh6UMMSmw6VrWW0$?9F$c+d^(|LuCGD6vqadQ)a;06Q+5}L-bkod%#
z$gBjzZ5YfnhXM#wOMOj<e5o1!_X#dx<4`R%wE$>0rU@FhxnUD~G;%l$Mo(hNii(TF
s&P%KEprg1&D)6Px;bLB;eaGITkGtcUcd{zsz#D?Tt8gd#mY(l_05|z$O#lD@

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html b/docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html
deleted file mode 100644
index 761d28d..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e_ld-members.html
+++ /dev/null
@@ -1,184 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_a_o_d_e_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::AODELd Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>AODELd</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X_, torch::Tensor &amp;y_, const std::vector&lt; std::string &gt; &amp;features_, const std::string &amp;className_, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states_) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;AODELd&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~AODELd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">bayesnet::AODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld.html b/docs/manual/classbayesnet_1_1_a_o_d_e_ld.html
deleted file mode 100644
index 8598fec..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e_ld.html
+++ /dev/null
@@ -1,464 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::AODELd Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_a_o_d_e_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_a_o_d_e_ld-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::AODELd Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::AODELd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_ld_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_a_o_d_e_ld_inherit__map" id="abayesnet_1_1_a_o_d_e_ld_inherit__map">
-<area shape="rect" title=" " alt="" coords="102,226,236,252"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" title=" " alt="" coords="116,187,157,224,154,228,112,191"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="184,153,317,178"/>
-<area shape="poly" title=" " alt="" coords="227,191,184,228,181,224,223,187"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::AODELd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_a_o_d_e_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_a_o_d_e_ld_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_a_o_d_e_ld_coll__map" id="abayesnet_1_1_a_o_d_e_ld_coll__map">
-<area shape="rect" title=" " alt="" coords="189,241,323,267"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" title=" " alt="" coords="202,202,244,239,241,243,199,206"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="270,168,404,193"/>
-<area shape="poly" title=" " alt="" coords="314,206,271,243,268,239,310,202"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a6b31bba8f3dd93d388ab6888a407d13b" id="r_a6b31bba8f3dd93d388ab6888a407d13b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6b31bba8f3dd93d388ab6888a407d13b">AODELd</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a6b31bba8f3dd93d388ab6888a407d13b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a07234e9d9ed9590d857c666e97faf311" id="r_a07234e9d9ed9590d857c666e97faf311"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a07234e9d9ed9590d857c666e97faf311">fit</a> (torch::Tensor &amp;X_, torch::Tensor &amp;y_, const std::vector&lt; std::string &gt; &amp;features_, const std::string &amp;className_, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states_) override</td></tr>
-<tr class="separator:a07234e9d9ed9590d857c666e97faf311"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7d695d7ee5688d100104655259006ea2" id="r_a7d695d7ee5688d100104655259006ea2"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7d695d7ee5688d100104655259006ea2">graph</a> (const std::string &amp;name=&quot;AODELd&quot;) const override</td></tr>
-<tr class="separator:a7d695d7ee5688d100104655259006ea2"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
-<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:ad4fe80d731bb0f6648fc540302f888d7" id="r_ad4fe80d731bb0f6648fc540302f888d7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad4fe80d731bb0f6648fc540302f888d7">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ad4fe80d731bb0f6648fc540302f888d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a52ce4104acdc3ce94114230ea38f8516" id="r_a52ce4104acdc3ce94114230ea38f8516"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a52ce4104acdc3ce94114230ea38f8516">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a52ce4104acdc3ce94114230ea38f8516"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
-<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
-<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
-<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
-<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8h_source.html#l00014">14</a> of file <a class="el" href="_a_o_d_e_ld_8h_source.html">AODELd.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a6b31bba8f3dd93d388ab6888a407d13b" name="a6b31bba8f3dd93d388ab6888a407d13b"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6b31bba8f3dd93d388ab6888a407d13b">&#9670;&#160;</a></span>AODELd()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::AODELd::AODELd </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">true</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a52ce4104acdc3ce94114230ea38f8516" name="a52ce4104acdc3ce94114230ea38f8516"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a52ce4104acdc3ce94114230ea38f8516">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::AODELd::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00028">28</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a07234e9d9ed9590d857c666e97faf311" name="a07234e9d9ed9590d857c666e97faf311"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a07234e9d9ed9590d857c666e97faf311">&#9670;&#160;</a></span>fit()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> &amp; bayesnet::AODELd::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X_</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y_</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features_</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className_</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states_</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00013">13</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a7d695d7ee5688d100104655259006ea2" name="a7d695d7ee5688d100104655259006ea2"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a7d695d7ee5688d100104655259006ea2">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::AODELd::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;AODELd&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00043">43</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad4fe80d731bb0f6648fc540302f888d7" name="ad4fe80d731bb0f6648fc540302f888d7"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad4fe80d731bb0f6648fc540302f888d7">&#9670;&#160;</a></span>trainModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::AODELd::trainModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_a_o_d_e_ld_8cc_source.html#l00037">37</a> of file <a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_ld_8h_source.html">AODELd.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_a_o_d_e_ld_8cc_source.html">AODELd.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map
deleted file mode 100644
index 4da9f75..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::AODELd" name="bayesnet::AODELd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="189,241,323,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="202,202,244,239,241,243,199,206"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="270,168,404,193"/>
-<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="314,206,271,243,268,239,310,202"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5
deleted file mode 100644
index 7e928dd..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-f651d150c08db011384ec50dda3d8bd9
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__coll__graph.png
deleted file mode 100644
index 3bab28d68e5c226d86c9650816c4b2fb56683b6c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16871
zcmd74by!t#)F!$C=~hAnL^_oeBvqtSkWfJhDG`uv1SJIoNof$IL6DN}loDy_PU+6O
z&iBpCow+k}=Xvg57a!r_oW1w?#rmyy-*@rxv5G7q-VHniK?vpLq|^}vEf)Th;9$Wk
zhBt60;RlwXqO25hiTamPlNo^^w-9-$hZ@ca>l1Fe8papcTfO|_%#XJ|9P$WoMO6E_
z;C7I;43rq%&DBK9FI8Xr5@lRrRrRd0s!S{XkZ)8;Sy9nnfrpuYJ3Kl){o9p5FWWDj
zT?xIL#IMlb&oDI2?0D3@tbN(DAhxudAZ%Bgu$y3qMIwnq@AKb%JIMI%!5}DD#@O-R
z)rT~dBU1g;+uJ*0z0XleNhwDBFF9dEgZ`1_^6#%x%ZX|9cGU;C;TTcsbgQH?0Xesh
zS&{hlzOua2RHkqpL}@@&_K{XbI~lczy%}vQNviq5`sk}emvPs%e6#+HPZLXwt3R)?
zs@%GLTY2+3Vba4*1V(d%o1G7Stjh!j!?>!#7#Mv>8m+#y!#E46|MRWI%Al@Tep8;e
zlhuFQ|LB{=`3c)CMxGr0tUJ$FQ7ORmQv7mfriD_kIZG{#gpADRS+U8?c!k~2aB)!)
zk7*Ch{L<2x@x{u@N({d#5gtB18e-a;)barnztCmZgyx<#(iwfbxYK<tKBIgCqrPAD
z{wJqNm&~qRI`=I!iL=6Yx+am~;eVL!$Db@$1}P~h;0+b%=}|wkA54=aZf<SWTB(W4
znE50$S)Z=>#kz@5sJ^?Kuq~8M*4o;-La+9({cJPt-o^yA+u=sb$d6aN28~zFj^;v_
z`_iyO=<X9C?cLoi)NiW|Zljmx7Z#HE6Vv%+yhgkN0&tq!+U6GH-^#eUil`)sz5a4M
zB&2LJf$ep9wsb${?i-5Q^Mf(<UeAl;rK6or?tgr}tCjA@e3Pzgx2sCIbG~a4e=#;S
zW#r_{9Us2)qVh`kpcOwqe}5$}r+mM_w{PDx?j^PuJ~S~gi5jbh`vL<4bE0mGiP02P
z@8G@k*w?g}tfsogqE!F4^i5}VL29k`kpGVD#R9kI!_CQ>AEv!G#STVZ#fZBJ8oqkf
z_w%iu*#5v1!QCMyS(gHb<=<$h2mid|<EfEb?CiMx8OlxneolqBZPxr8m(=N7!a*=G
zG1=JI3S(<(-<Ypm<o}!uggtJw5Y#@I{2OP=8-CAeL)X`B6)tl;#Zc7H%O|5M9u0<7
zIXXJ3@9e~fkv*`ox`W&j5xFr@<>X&ici-LJJ&(Ha<26<WKE5Ii>VJPrn`G%ct|0ep
z=W(p6{t1@6ow|8jr>q&aK2L8zI*8&cSkBhrp{zd<EeRzh_VnruzN)Hf_3>i7*+k{t
z=VcZj=^y#s5)~aYiLY_pZ)^#o<h2^VSADusg?KS5M(d9h8VtD)OWX<VFltm5nlSRv
zRhzQhZ_w%iGuMYjdRlHxPvG~5Zo-d{dTXy=^-FwihA@ZgzhOO3`1ISK<Ku%;Qf?(k
zc-#mJ3p*OFyYM}n@}z6>CoU-AUg}Nu&&}l=%GZI>i42T>ZT&l>F??Qk{_m}vvT~`5
zSxL?=jj%1#%Xi1dNPQHi_Vmom`{Uguow1dH>}$0bCvT8?(_{}UIy$;5SXim>d8n=8
zqEL+8XP1zu)riK#r$~_vy(y=n^8HsE$2vO;3k#Q^V6-MVC8aC^3#|`kH#a-GytdW}
zmwskC-CJq;L@lJ=FTlde+TYaV4VJo?p&Y;b?_YOnDnq!Dy}f|AxOi-Ga&JNcP1&2_
z5bm12tGhcp&Ku*xjw^qBIkobpSNbzo78Y8%x|Ar$$!)f0Tj2cNlHb`|>AzB6Sje-u
zxX33Vkt87@;eL63Xjvv7ZaG$#-e*>F&}k-MyYeS}K|(NA=}JBOlML&Nvt##zQBz^q
zk&~mNt)uO^q1PO%RrwMlzbcG7DQ*y8t?}i`sjFW_<6&e>YZcBZO0cuFl?%VPxImph
z`S4urf<-Sh432+_Hmwi6vHHve`0n4YQ&`inu;BXVa;<Y@<mt<5=N}5s;$|yV!$U$s
zf<Jv)SnQ5p+1ThQHth{(%2Y}G6%Y`haR2np((%b!fnED&dZrHUy0h@^xVx|P^<iSC
zn{}qJ(`J0JF_Do{LPA0tBR{;EViOX&;6!eL(_kx>pcS_Dfg2d*B@V~!P{tP<8L5%p
zTRK8~|EzvwWTgAx`EXob97U{;&y_X1UWrq#)5A^Gpq9o6R#n&y7-QIvA3rPxbI8+D
zQ)7~o!Gu-U0x77dI$rl@gfR(OjMPWp*5PAh^scC==<4oXI6K~@x_Y%y@7=L)Pfw3-
zkr8fh@_kk1{-=*0KiCQ7e!i`s8a~$+x`fYNtzX>zM*HL!8D%Uso%`qB`<G(LZX3c9
zJMD}X{TYPG?mP0~C8JI{9)(f-92|i#i?j}-qSykXu<X|%Ib2J>0)z8w$xO$qoZd!7
zyZktLY83aUQuRX3NX~YB<VW@4q?>&79lpWXC79|1N=nMbr6s$D518&JE14^^vyJQP
z7I$>Yf(;A|m^#3@{uv(rsSyn}ZU+I$cqkK2Ss^%k_r+M#<(Zj=-KAdb3eT2r?E@jt
zg>{E&J>2Y9{<NIjyLAhB{rWY}b%LY$2-WGewV?X?2V6R31Vltc2%@d6Ew)vUF;ZlV
z-(|vIW;y2Pf72BQ`TY5_*Z8>Z-umb@a4xck8xud?ox8H7|1N!_jT-hy$?Iz(_RC&g
zUdZ}*MX^RwxR8*&o!uifwXkl%HynI?S1*s+?r*K;7R=ThPCnArr9ru6CRWz5_5ZNY
zmCemiPVMj0@o#@kx|}T~d$w{GRI4wJcq-dz7z=A>aCBBfkQy{Eu6>=e_U^~eNmqP5
zkNv3q$9g|jyNco1Zf$Qj{G56hB<^-FU3<FmsNiJ{xG;YhETez`S^Z$~bqov)MddY^
zE<WX*r*vO*lfUa$e0Wji_>kRrID){(l6=y)LPY(^69c~3>G}C9$k9gC=I;tSQ*bI*
z@F}<+xVwv?qoX6pyLaz~R&Kg3)BE`P&Rm>s`p3t|@Avdt{w;a`^QX|&YuEBQjm^zD
zc6N5GXBsgHZi-!xU{RKQ{``hk-qZKsf5{kSLrThYY^zh9)86EE|5ZQ3RF#vf2WQIp
zpKCFip-k=U?5w}klX#uaNG{uj8#V|0zHx1HnFNN8FdsiZ=ZhZAXEzUCF1o&1U3=FS
zLc4ufcS)-%am<88a2<L3cJoFzKTNx?ukUEapU%3C)@eG)ZKGjhqUy)nDT%z7H8+so
zIhvg7V?PT9>{~jk#K7)He!iuf^t|-wN)o4LlnH*2tCjz~syEfu+;Y0k8QFqRJyPkw
z$)X(RW4F}P01*cq2jT_(h@PIlp>hWs6SHA(kX-ftxj=?etl{~G;Oo5TR8&*}fr04q
zOe`!6Fdk|ltLB*|e_qG+r@FQ7RQWnTWz5XXd`)jh8RaS?*0#1qMB(W5?=i5q8nEd!
zj;<qr{`~ozkPtjSZv<9#4eVQLtjv<v?DwsBkDr6sI>HkZ6Wicu<{*}~LS%rgd#s`1
z<FGbl07nnf8<p61!veC(U+f&BU0(f$a1n0O9p@WDD>^$DdjI>j*rP{}wtGZ3Q}pWI
zSvxwm78*1ay6&6XuMKsdw2eVVvVDFy^$M03`JVI@d~347pKtODi?;UmQsBgR-VAY#
zJI{TBIO3SzsW9+9F1Q2rI{_hKdT1yyAr?laQfwoHf;c4>EKJNFFs!}({e}6C2;o<)
z1P~B<L~w-OPKu#VXFthQD5WMRmv(Y;a$FtwsG_2hAmYG*kB|RaFkTp@D<Udd3}f8e
z-JSat#VLPbqg#1&@2)&#L9xAJyTRRp^0ph}6>#9@AhOE66d!Wyy#4d(82fR#vr@)<
zomT#Hn}IB~vxP5ud7If;n_yYFg~U+{0|K959;uL(Bqk=J9E_mlUu($zhE^0qItBz}
zHKXl}U-6Zl*#7Il)zqA7HH!ONsTzGVg57a_gjYmF<awJ>j%Y9Vh05~sExOAiZ26*;
z6fY|)EBE7tFN)o!9pTLO_V(YBlj$H3LXxVqCXdEEoH@%IYq-6=ZEtNo4G~#uW$C$6
ztI_(mO6d&9!oJzorPM*R&i*8CYs+_6nNj|ZUTs1{L&HLuwtIBf+q!eDRTt&{Bgjj)
zVTXnsb8=Dz<(~`vD$PcvWMCBX5Vn$G)8-(7$|)f*51(_5wsSa9r`^wPk7QbVH_^=x
zz8{<Trje_wtEE)lXEG|$iX?_7v|z2{b)NUD9M)R@jr|<+c$aFERUn-qVl?sgI(Si{
z39HYsF);zG$?jJ}?_b<&4W>%dCZJzUfP|ktJF2+ToZ;53lrGH*Nde5Fji3xEt9|bO
zDS6Lm<c$S89xx`NU;Xs$8`HP+^cC7i%X#xHsi}*<$f&#<wx~O9?=bhP77gVXyG6Zw
z#;$QGD;I~r8}YR9Q-4MT?_iqJiX}ehn`(H(zmk~#mHyd*%=^^m-!F+=Qiqg<Y>B*L
z6%2knQapQWe4m*bTg{U5<R+em#_q#G+txk_@BJReI2Lxk{olc~7A7{0Z;|S+)-Opf
z+kdtG?Ka3cOGYP4_0jYonj%c6_)LR`{7U&0A~sOx`tvtMYP4Kfc4p%zcZzyL5-&6g
zl4r<E?%!KeS&s+HLzV*8WFF_Qde{f6yMKJ3=VkJH8fn>N4BcBvPnrLn``ec+)^(Np
zNA=f25_u$!@_r`5Po{LEP=SAL&`CBo&~y2P051N+M`IGQGSpsm*VeOBxDXoT0oni=
zYnRyg=A1$tDXI<{c-5bFT=d>KY&a?9t3LWyH3Q7|>1&da;@FMS;w9N_xJz71jq(C!
z_~cOqGLN&>zc860Jqh>!WS&Z9t)9zxla$H@Dv1lu;R_CP$uU?z!hFlij)|$CmN64m
znl_MK*~Pj#dE)hI15+gf2kDK-DXl!Ay>lv_@h5WDJ52WE-P0v{U$%#LTJzeph_s&}
z7Z|>QJ$LLFX5?m76=vG38HH5NgDuzi(z2+p4F0P1PvW*0V8u9M&2k?Y+<aSs=@)1k
zf0{U|zVy(y+z(cyC)I!oN0Irh-G>k8YV*{g10uLAtC1g4Q$?h=u+ph4Jl~S*r<}YQ
zSuFfDL`}c00%QMqM<X50d8~DkAVnXokXaPFpW;sB+~z0E`LJ3Ya*gZccYX1=2bde?
z=NF${=Js1lYCH&3!qESrkNb2+rX|(OGBII$dXb0OvqI1oW@Lpqm@HTLLGuIN(O9E+
z!(wF*i<HZ^b^&BFM2r237FznDiSvHJvmkG(g4+aIMQX1ZbZ-;MJUF-CPYC@J<@dlm
zNOJgaPo72UnYz&p9FFRP(^w;Ix@#1e?&#C_#Td0XLOVpXb00;DQa8VvV1_LIdu)M`
zllgEf^pR-^a^yDh@uqa8A6e=Zc0R)9N|OC}tm;g%E`$pybFgh_Ho39EN`igsIiB)d
znZ$HVRq6>@y`=_?;G9{qXJ5U){Qjv*{x9o;u9x{vD)b8B4E<jBo^R#Iu(7$1kCI1F
zVsY;7Jl2ef_;mVk9b@ab#0+aS@yS5#K3dy2J`Gng`mzC!S(C}ljYDw+Wn-R?-F*bi
zG<3x*RjuFmsQI!<!@?EuX(X!Em#Fl_XxI{%*u`-C>S@40YWYa|NJWJow8f-GKf@26
z&ByW<<eGhaNvBXNF()_0cD+R2iY3!&?-!et^nBo@jL|HMh?}e7HLtG<P3?nUSG^`<
zoA=#vFB{5KOxlRee&39DDW8(B*~L+#g=LJL!teG+{NCJ<DZtm%TS=71>9dy)d+nn@
zaYK5%$~E$DniC7XR6mn+Mp&FpfXZKHcR52JvK#b1FO8<_!k&++#zLhZR`1B+E;7-s
zU&D_}A9s_T@6*U4k8wvwYZD@&R-Z}QSFN+Dlxq0)P;8^r$}BH;QrIU;89uzC+u&Dt
z;wM?MAD^0u*ai0cS49uqL`7n21x)YieRrauH;*8TWzn~bDKc7^?tMI>U?_WZhp1mP
z;;3m%Jk;&SZ{`~hII(3rb6uB6!83=wW)SpeS9GMvkTl>VD^nHPxmm;iF&DG7qhn9_
zy<iB@^R2z33tU&ztEqw=qsGcz&C2#$d(9&0TZorU?xO)pS5xzxp#zCOfAfx*y%vA1
zU#D?7JJ8$jVUn_pVCcW1JTB$GnDkU}S{2I|Tgx{~b-!m|;OwQoBgR%<Cpy$6NgWE=
zjVUQ9`Q$ZALEN=w8_UZ_+LV-EmavIvV)Q60q~@6YJL6JNvyS?-a!b&>IeN=1q)+t8
zlUHg9cqy@I-o|pYn+*gkmQ!Or`aI()k#R4cK3!JV{t9<WXMFrilfji(+hUK<J-|~=
z47&HnG`k^vD`aKc>C9x!11gaaC{LU?-&NZ!seD;pHamPXC9D2#vgWikeDn6o@2`)#
zExOV$<wq%Ssy;UvE7N8(q;3noUtwbTPMcn~Mw^{IR^#?F+1tAb7r{rmFs4;@?klk4
zdsQF_QR<h3czCYph@qjO3^jqD10sODL?-2xl|4APxVj(}<%a=RW27*9H6eeH1RBWD
zt83g25BdZw#l7MYGLH1g>b37xF9Sb*e7!k6{aNY{=e>LPiZ{M^nJLW|e92H@|4!7P
zhvcc@#WM!eWI8dSA=YTWBj#@_WXndW_o6Sa%+Jr`>yve~y?XUZ2j*1e-Jn0BWP1X$
z8iV}65se25V!`5r&8bZjp6e2~j{Q1}%=05pxV?B05^8EU?~K>U=ts+b)K+E-%gfH9
z9qfP#eHzGbOH~VJU_{c(S*{eP6vowOY?)1>KAtW8B~&RYLe~jI5wH0%Z!AIuT9_0i
zqJ-r=V<IctCXd{~!p8Q*Lm<9O5Km(ubNG088(5#IXlSaPkG5u>J$(3Z4UGmH!YL1t
z7k`JRUZuVK!otFf6OT$<5qnJmLv^EOO$D2795EGr@&MxW-^;xn9qgD$WaSBlLtMtW
z`mAxdJu<DhGxml>96u#d-Ta<cL4nJ^u_@MC+<HQV?9CUtx+;(lC0yCUk^lRZGZoiv
zK-4QsHgfj)&c`h?lIDz+s-sMZHG(y-?rL1toL9k&qHp8HP`P~D++I~lj*ZP8b*^w0
zyZeIu?tI*^E1I0Zbpm0gw-t+}lZauIdNva`<k}8e3Zw|28f$_k#T8xhn3B50qY<R(
zFU0K+zA;RqHq6ncXfo_ZswP^Sh{(OC2Z-5M_KeXt5^)(GSSd?M;%==-{l)od4O+04
zf~AJSKg9Ztg~d7slO}wBjCj0D-m^nqx*e>?N~*WCv^WUHcZ<ra6lrVq3CM?$8nd?y
zGV;dby;Ykzw`Qap5LJIvRCd{*VlU8!&hun@Bi8@)Md5Ju2XAlUFvu2$pejqa!@+S9
z^-Zn6WZ!ARVfbPAF5sr`_6N1$c;02Yk9ffm)r(S}QOI_xJz34QGbuh6=-AZxX?3pZ
zW=yUek<iG+A(OLZc1B%4r*X9VmxMgs>D!5w<)wFG7lr>*M4AP=bE0^5Q!YE`xV5#l
z?6HCae|$GCKnT6*;RXLDs(#+>D5K<ldBzJzLw%<dPNI{k>5>le?Fu$F>!7q&Ux{28
zY1xaKkVU;KNspTc2Ga(xY8VH#A$wZQ%Q8gf)wh#iUg>M#j%zw*_zdFJb;Z@YeH+&_
zoP`W2>HdhSdz6p}c&+lYEy}$ol?=EMz_YVCBNNy3$^Gdj*M47)gg<t*OWV)e`#k_U
z6Ka)*75GrUPO_S3bTuWF#OcHFmEC=dx<2jLw5AvUUo)Q!>I$}Txz4>82|3_+eMmk%
zE)Vl06jG13nos*LH%YJ0Hd-^52AD}?I7L?$X6RL4!UruaCq4@BlT<OF7&hK#D<!Gl
zWtzmBYN=aJY)jJG6CapJr7}eGInP|<-pLJ<)Ob%uWiv4ptWkjGd=u}j%ynVKO|b*i
zv+7d+5>5}hv-Y>MsycBFh(?eQzSrI6HdihW+eNsrw&vr)R+VdZ2cqwu&z|3oqsOWr
zMQ82LVy&b7oDVVT1|B<Ks+RIpi)m!z8;zJ6L8;rrqP_di`wkyFNt0vbT=6&2mhtrz
zzbCt?Bq_k8ZX}hDAG&z?-uVToomQy&WuK_3@_8+GF(n{eU*9a}T@$xOIsQkCulQ1j
z@^RG^$+rl|qkXA`bvDKBE~+~x)nDp%hopV0$Dx-J=l7sYJ~<b;A-tdszy5;<k6SZR
z)duyhB}&5!i~<ww!gZT{UBjY5B$5F#W|d)~7w=5HDEE38d`MDBVYy;wWXxx(j#4L|
zDY#}HhK)^axQr`q(nt!(*gD2$@xPJDCRdnIW8(_sv3)=3f=nk)%AQb>y`oJFTGgDn
zmipr}1LNwzDoJU0y%IV;n1OsR7s{GmA*tkB`4O@qG_BVfiRKNJz6Mz{G9q~?jj5&d
zs|60?mymxSG7l~(Y^S7|9vr=P`+&bH;!UCq+w?VlrRw^3GA;C{MJC@|zkgq>%ITe{
zy;6%<*LU!{eIUC|zb+dX{9DsmAk+J)uLy?#ryDITj&~Wph7G3h&1>^kza&S#1b5)P
zfYp2Rl>~P>)|yeT_>_Q_>m04Qgw2+U8&d}7G(tQUi-Cn@kv)AN(RHct3td;D$F-6&
zp-=W=dr`#?i%0BUmONm`{++b@`-!#nmQ)Qtj#`)6CX#9%sqO^MPi%T+CEJOt3P(o5
zZ<dSfdC0J+;v>zcPXpF1j<c!N>g2*+KM)fa?*qo5=2d_z$KAW+_b-mpCV73>q+5-E
zks0|!Mg{in$S5rX2VnwErX-Gmkoy1lRtBkv-68=XkeN;dFLW#Iak*=c7-T-(@C6XL
zEAB2nl)1&VNl{V0P<r0Fe}C%EE+BzzK>j>_>b!4){=Z~Be6tE5`ITg6XMbAvu4a<=
zyH4m$aR^m93x~<~Y|tTkwocZ#p%4tE7#=hjG^6X@@_RrBF%VljyX{u$w@-r}SaNc4
zp@5FBuWul?7#Pr@*ewSfGb|}71Tf0K#<h|-HZOoB5W3uIBF+meFGnG^pP7K4iHVJU
zwsHEWzd!r+^QgaE>`<su1f_TFQUv)@-qFpn7AYR>3JwnD_&Hi;sdM8~E5}kL1n_%M
zkMsQ-cNl&_BWQ75o{ydVBl2rL%k0_6>J#I0W_eFfPpk3rzC|~V=SfT`K>F;=J-(l^
z%6Xds0yp))f3~pH8WRltMaGJL{{H=ggHa0XK*l5q3kx&Jr}fFf1IjE$!vU~a1SUy7
zoLFoNVPs&)`xm3c0vKVmPMHP0{7nh>7;)FV6o3<SO3WH4_1ya^4KCL7E`RkTiuU*S
zM?g`%RO@jn7oMq_oZ;_}{e@dkg`1ljkZGcuVlmI2Jrf+O1_~!TGBqd&e>h)9Hr)Mu
zf7s=4!bxX0%KfZ~_&x~|N+Yap;sSV*E$l8+Cq-;vv~Rw|sOxQd`uE-OLZ&JzM4Ods
zcSP>p`wfshiW#Z^pmNf#SA0m2W7Q2H1&Gh(j{ly!y1Cg6e}AEQGM*0Pnt5KOG!|+~
zF-b{1sQoxOu?66jsYAl!#Copv(-2`C449Zsq6_kwzOk`*X=!Pu4u~NDA)w#}SSX9(
z@3eZZE6j@v3)`?r>wnVmwey}f^k=H}cXkHF#>R4SaLmrO1PNPDKM2<jB0&6neR+k1
zzJPJ;ZEw#2GXAz$xoABpxX*0<Pr72KNA-WA_HPaXb#;t5o>N5aXBS;iP};+0ygS=&
zW9k^p)wZkmLSuSeyxBs9O?X2pt&hzO*u&FY`7n7oxk8D<_2S+l&&!LFr(9w#J4|<#
zi>)G`mzuX^Ww8OW3|rD)X%HG5JYVv<UoM<l&_W-upV+Xl20(Oxd9VdWfdChG1^|3X
zQ&ZDB&x(A2gvrc!%>_hNX&=P&yt|!1GaNVKbB|a=<W0^L!Gi_g3<a}9bS$1KP*CY~
zHfkm3{F(X>*qib{VegZdN`b*yp{PQ|e5zKw(tgFzgNB5}tE2?d94z;p4%V&xeQ6*I
z0HcRg4jb_T*5{`4G@8X|5vEBo6##%ukBG&uAaZhYD8kG2VErTDnrV<Y!ig1+RA2sE
z$~oz_DQ@w%1Q(LS2M-<~jvM38I8@^WE%Pp&{wpY*+c`Bwr~O^GL1@bT$zo};=LHpt
z=xhHoruW~5t&zTon&pNeN$O-+6_1d5c6K&TtP%i~=!iR*<??t1e+Z2*@MjdaBqVO4
zp`jtj{rmUV?1{zqNE#a(t%0;@0`~KfKM|&NshqQ$8zV1oUnRYgva<BcmpAX|mU}gL
zW4{7WQBF~@DUh6VYdI~{aK1fk$dS<R{zVe|<j9zLab=~`CJ`|)F$w~G<VV21|F_7v
z^D%s7IFCN3C_9M+pYht0^GUo1WvT>tZkb;ef;t5q;1sTxSxp4WN3fvi->sdU55Nf`
z`mlhobcI$&-XA_pudW7WCcnG!Btz*3g+D2y%q>Pn3^g^iTOXU7rF{JS48ip8xgYVg
zhR_Cee&J372or~pur#UhO;EldT75@H_P}NuiZTXn_+drp{~3-w9z%^-qyIuHb5jyW
zEi*@y#cuAC5TAfRB#>NS0SSwb(l7q27J$zfFDNh&$fE0HWX*u@_74w#0SCGmOvOL)
z{e>tCGjkZzQg^&8BIdBFk?ja{&oXdPDv2U}9UUK^WU3e&7|?f{@S~0f81TW`a43NH
zx)rv@*}Q?Xy!hb>VlI5iE{jz0mf`cTL@SGnt%THqpP9hSdv&ZTTK@KwhTc`41F~>=
zaZv^y0imrB9KcZVT>BpYMx$FQ?3OszpJ<-wjK%=7qirAOU~Hr$gQNCpke!bizJSpS
zGETbOAJ$W}Yz~iz$j@Zt{=eZ&zmfkZoH<x~kb#0TgC05nO}`7EyBNTxQAHXhTo(H)
zt|vO-@F`y)HcEXOENRz}m65?Z+??vQny9n^e%UecOO^*DQ65aM_!>EQc}Y=>z)jCH
z8(1)z&3lmKJm|S|O$+QaAT)GX)DN<pF!BFIoaJNb_X1$jpf^d}wJl2sC*?#ag;a8Y
z888|j^;NyN49g)=S&yROt30-abBBFc>MCR8u$yiacfQe&w>NL~3d?PBNd^RV!~~mt
zephwP8_oWMpFApI)qulq_L+?L`0!HY*>y$XbxtX9W@#CLd;COwADg`qq>-}%X|fMt
z^2zcdqw1U9x+;k{qay@7YUeMleMt60P%nOVCc(?dC7%Aqu9Q&z(MqK4s$}FNc<y79
zb$x!q>%{fhN5azO0&he5L|U(+;4gSfKsFd-T75?t(~RlnANFvPMl8roAJT7;Aphc)
zXwZCAJ{jYCsN>ReFu-W8hk7V*U+2+9BU-4o;31o?6(MH!DU^rj@F=Oo;N*{^W3bgD
zV!CZ%J|t0)<lP|nBST70lf@%2t9UYCz(g;_{H;9z%iv_mf>{4nWVeG>KNn7Ju99TH
zFDRY}KQLTe(d<Y(C#NCXlB1P|Awpu;$3v3#U>=?Mg7gOYj-pu46Cb^16~}?QxsaRs
zagWQX2&of=;;MyqB>iuNA^$I$k^f)56*-CKW68_Q3r_n!$Y~@hm59f^-0yJ~PpYk^
z)q(TpE|G15_YD-XiU0MLnT^O@tN<xDsj(w0Thkb@y1l#W9TXHa$t#6neX{r34#>ud
zCA+o!pMO1Wrp_E~x6yTayaWhu=HEX;U{)a0#JUAsl{)1v5W&hXx?}`M$jPawBK}vo
z<$s@c+B!aCv|H?=%6s|)y`b)*5{5Sb^yG)Vy**n!9nds9FELYV`>0U7UtwfyJOeCC
zYi>a;9<bZAe@4ILMQFRYx*DDxZ7)L+8j_upAvi2Q8u8jlU0uBpa+8`@x<7A<yWRrX
z(XUNUh$=SAzv<@}7NU-2|Affrwhk?YgDyg7(iy|o*ViE-$4X$qVF$vlwY|MhS{h?d
zl6a6olb->w5spgFM9u9IBOwHEiHcG)^;Ns<@)f**#CURY@^Ox<kVku0mrrIUD`+r0
zlR-B$FrZNa1m5@x7X`kpt?jRgG`50nl%KDpBtvo9nkVSmk?BPe8Us!UPkc9ozM;Ak
zPz)Ie#&_0~bqp=34<6suP_|5@5wfB&=}ofqsJ2~D=t>l&1R;rUW@hI8G2q(&5y9mc
zz#Rcc%I?ISnw5nEbY^-6w!U5EuV`uIFCLl#Nu}CPW4leHq@?QG+OS`~d>O-IfDRco
z8UiHd@??$Z+4=d*+?;o2k}Dp<V>2ryB_k7Uo(BBw5yVUcfnut`^5=x#!N0LI<Id=(
zh5GLuhz<HurI#TOgM0hFKEiHpX+bM@jcM-hzxKBFnC1CTt51+*7=lWny{D&a)C4$V
z>+M<TU}_<v&DzsDh(7RF*99$N?oO44az1$$9eAS8xdfyVDr$n<B?Ug*Y_y0Om{sBG
ztwwx^u#&rr-P_IAR5e!Y*gJ-btg?&}tIenD-<R7i;Gv>DQ1VSclCBNqLrOqf2$~_3
zWCOVChmi1q6}=xVHf=KeF+KLSPWq?S#Fppfq380*560@68s67`m>?uzJn-#DMg8a+
zGf9B`TtRTf2T7zR>HnWqD&!Iez+6HwJ4R{L2I?S$YR0u_(Q&MaA`)j?O-hQ2b0CG1
zMQHd<2)JKXw}Y@E0f~u@Hrch4S5RO;OpJ^)Ds^*a<KNb@2YmYU!mQ1K55zfTzg*&W
zM2=^JxOYGi2a%GX?rcXf<i_1VsMA>F*OnxJJH7EqCP~=N4_L|ZAFr_G`GkdI;YiG&
zBxW!CicPu=4Gg~Smx3OMmz_PkamC^`zD{TDyvQ?6fNq07e#9*vc4b}vmLbgouH$69
zxL2YRV6%S1A6r1=0)YyUk`V}GbpD65`h+>~|5I9h>$r{bWPP-Fi0i-UO`s&8tmK2d
z1*HtiRF2nLoq|<(_L>4EGAS<ao;CJ3-Z4g>{{EsWZx=GtSrAiM?%J^*`+m2m(2(}H
z&8KXWXz%ElQB@@h`58)W1R}1jt(hjKOEx~pnwjN6dJ|b&Tbuqj=Dw!{*roXkKM;rv
z4M%f5YZTomZ(6i3gCfgVFJ4-P=*wM6DC1<m+<B1~ih+*)IXW84yTJ?cj4SX290G!7
z$W5oGr;+K^AJf=3oe`)E-;Y|fLXo)j`w=l3a`oy}l*|k8$5i-i)WHVzAaOcbrQ^Rq
z(2)>Bk}ipopFu^CDC!jb>&ebdZP+?C4vwNx6Xo;cUe8w0-zlEQ-+iN%{>)<kD~E7U
zsGX?DOWN7>q5Sy$yXleph0@Z=it-0f@9aN(@`6>*^W0&6agjkth!P4;RQ28m^{4vg
z%4jhwG7XCjqvqO=D=6TG6N(^alhwjdBN=<-1Mx4Xs`^tnG2htW&FC--)zMp@|Fb?s
zx2DSO2TC&oDxLDni_@9KMZd3){L#x#eD@9xWDE^c_wm2P#RXPZi|LkIqXACc`b|Cp
z*3plgQ){|Umae5ej4}UTG>zE8W?PqK>1)*m;~yxk!(C<0{>9R#hFs~Xz3EIf(LpsG
zBF`#-+BcZ0^+-?RtOx-x9tCrVWO+{4qmA45D+^{8mvX&3Sz(RutSxI#Qerd`jQ?RV
z%7@hdc-2<uu%@LHCx8oewD*@Ul;9)L5U33vNlJd$SEL{#yMmGeo$vL>@EHg02i-Gl
z#xXK7y2Ziq%N0w}%#2OYYCHgxd9OgXR1RuMlr#PP`|(=qFoljKx>rO*gaZ!+%=u*6
zo0!9$KzHI6;4T?mb-z@aN(TLZ*=otc9yvrSJ{r^*?pVDp?kZ4wdEo{R!vL+$sKn_y
z|C&hZYm{aN4LLeqO8((->geO+Gm_9VRFq{g8pM*y@`?|FA|psRR_5j&c{iX$aD`b}
z0W1+80pzy;!J>zUhp@|zQBMr7H)tPUf%Hw@cCy;#N<EYYQRYG*(AwD8SO;}rVnV__
zs30gPDE?Ro+Wk&>2<OG5?%nzF(o!2J3B%9kj-0l6_5U~Z!qZURDcjE5Lyq4))|ZxK
zk%bFU=dF}(t};}(D77>(HNA$YCQDc*4nb7{Mqhedq3d=wHe{O}cyf=WALb7MOS4?}
z7xm#&(4NuK(yqW`0IKRq5RQP^*x1<EJ2@?Zns)@`NR<^8+n|p5HfmA!Uo4YO#9j{T
zB0g}HBKD2;Y!D@Pw95rJf!n1!ps#w;FAzSzv(O0yh_01ei|O3i!PwjMq+x+i_s{pP
z0k&msnVG|39>K)V#|MR0&frUBO_YctHy5m|Y*BkEP)YOT&YIDR3yqlbXAlh!EzQo(
zj#RtYg&P?fGC(n-o4(Ti>kG<1ps35NHFmy1P;WMzpB@$idOu$4QT1Ypc|BKxGIsT|
z!wxZXkdg<p=@;C1pr^J$fHn(hT3Zb7tGy6LpS%cW5I&^<VgY3bsc@ANQtqno+TFbx
zfWg9WxEU&!Bk=ZnA!>|8tpBqzTBg<LMgZh5LPxo^(i6W0@((r%)k6jb1}bAdnN0((
zM`GHO&?hRH_K=NDU^O>xZQku1gg`?r7OP6vo^spw6>e6tN)ajv?T}&;`1xIa$JLYt
zxy0Tzt8YT@Wgif%t_ODDdq+LnRQd$?WZyhjaQfU^%zJ3Q@#HpA7|~1f(@ot59D17;
zsa8r;Ee#4YyvQ}QdsG2oxiZ;iHFkGppf-yjyV=cqs|+Kh(v@*ij4hAvX`$hu*?#fl
zvD81e^(U_6!n359XTJ5_NZ^Be{a(Gpepw_nyLYuvw~|{K5qLEq3GY0A?VVoMVQ#DX
z4;?uh-#7kqJ0**pv~N9^l%ISH2f;=s%5ff(HN*1t(qtUO^>`xq5_S9CiT1It)*3&$
z4(lcBQ@lD6t)>r`->LF@R>IT<x`Me!bo;kh&0`3Cb>zv|F_+Zes`IEdiN2A|W_1W0
zWdaOV`T4i7wY&OPFGk`kqGR!h0!J`r>qdn~DutDvt%ByEGQjL$kSive!1=n@tL&QS
zB3q@9<)Vw54%v731@GGOW|;lSGLS%Y>dY37PLp~_*euK^X*gHe;<7SOHDmu)KHn`G
zFHS_38nab$nwg#FfEB8-*SU{0uX?2;7Ri;a`{;pBOia)8Ud&$|{AuEI@*J(WUZL!b
z50<Y~o0fBKNb23!sF^O!erUPH$60w*l|AMweSZTQ<0PS0tV5!z#zdT&IVRal49ktg
z8wB+cw(7DIP{74i|Mb?p<3;&3>Na1st7~yAUXwPF_D7NCYl9^$S9+fq#B*%&WPQNJ
zbJGTf*&$$v3F<iX2aZHq7)O}(blxW=H-8T!B}0r~vT9eV`lLz4amljZ5PM%G3Urpt
zG*b?TiXE{adO~r7hq9hd=!-@QmJg?4Ji4PVHPu%=Nj35rnaQtRBgDSwY<sNMTI^(W
z6#QsUi(Ml{zMHmYpo+IT9qLp^v;a)~uju4kU6o<x6RTm)Pf0zo3;7HwDOcmwHJBRP
zZ4kqUG@QSAjFbaT9<m3g_|c$W(YIB1R@+QaMgi&yw|FSMKKL!<%I0{YBaySKYUcD_
ztl5RP7~*m%Th%x8Uxq3P@rBn@Ak?(a=O(irM-d`G!53iZe?!MZJKIkrVXjlX<?~y+
z`HsrV^3MwwXcRZQPZ?5On8({gP1p5{K|J#PVNSpc-RoB0Ox|$wGsHRF{}FM=Ax7y;
z<@*t3Y8->3EkZbgHXWQ{&{g?3D#IxwWBFsEeMRcl9Ws{31}FbP>#?Xs!(h#CjkkYC
z9A{RY%up;-Nl#c@q%~s=nmfU?pmNiZ!`D?#5EASF#z1nn(Bzwl<q!P;^de+ED8NLo
zhW{>kf8D$?a)7a%MZ+V9r*zIDEfa9V)u}|m#_=JER~l1o;7H43xX!UZl?sQymi}`-
zjm^^P%qlC$CB~rN!iIK|NUI`ImxrPrTjR*6GAs;)2zeQsv(EmxnK5+I^nUrZvM+!U
z%Sr$`MU7gH+@QHr!&#m*=-vH=X9MBZjHVbzlwPHYx?3ZS`o^bz8L5+CX;QcGLKp2x
zIFY=~`46#0ywwudg!;Z#U|%Tvwxv4@DFMZiWlSm)!nk!G(G!W`aap+TAib$X*f;RB
zQiNhw9DR<A*K(h2|NUgF)IJztBT<Gl|L+Iu$X0Gd<MoO^)vh;>!*3@l9bLiu`M}^T
zj-*r@R30WUAp=%^$3MM>^>;{!D6oUwoqSGE&wcMuffho9_m%U}fIKW`TtsoFPhmvV
z*VW*b4^=6jXHsT>aB|L^j9sk?NTku{ou)>pRPZpq)eE@8Pz%#QyA{dcdyCCImkgvn
zwk2?3?uyJLF?KU@^tZuBU$}YX9(az%o=IXgm&63#5GgV*)kY_q47e~J)`(L-0xNIT
z9y#pnxcbQ-wUXKw<<X1ANI^bTc2d7+_#}%}s<%Ju<l}n1d9sC80AWZRxEkAEU(rGz
znf{H(uXXSwLxI)Y=VnMoRk0s&3XdfFnTtcf$zz!I0W6RtcK`h)oOA<xFAT2c^EYkT
zG&TH#>DkFY^1abSQ-1q4dw_$x2b+EhyW^w6;Pj(TdgckTlt8{=$$>G!?8(xg|8O~{
zZ`BlaP1t)+dix^t$UuL_4UGqO*KBU>@K5GBvA6{VFFrt~9?-w&x6UMsX;p<`iad7<
zRp1dey!9SG4&%Vzv*)3!Y0(!TYEww7q8e-0xyEnTvHcZ5aa*Qqn`&Q_@ECF2F$j}o
zWp-b}7|URFB91=eaf-h4#uoI?c8Be$q<_UHIdBb3rlDAP5}own^mZxZps1^9<xA9S
z{nt9tx)2`IZn=F}U#SVuP)LbivzjkPC@`EYm2r~%)dxhMD4#J$3z3n{VqlId8}9s7
zGp|Bj8-co3z=JZA!#C>I#nSH^VTAvl$5F|Y6(gd^QKOg58=0&EAYb?B;UKwkFvK;<
zyMOa~yL)$>jy$Jmzej^SOy=OXS1%I7h2`^WA~Rl)3J!eIbK2Be9+D=UJ^Q=*Q;eb`
z4>y&fJ_amK+#tc8uJ*=tQg}~_GWj;GPwLwWGb+d(6_pVo56W|RVAzU`grp&**Tm@P
z^)lOFg<;W%-^t(@Rx1YSSG5t0hY8wvr<t3xAaHuIc38z$r|9b>Li->lA(ab-JdzML
z|A)e{S%!^38;`hvNKI$2r-Uauq>g+>nS>NCrpEP~t0Gv*J7}_!!r-&HMjPigtBf9Y
zD@m7Mp(bBDx~_T0uaUtWhoL=%=e1_QiADie>IG^|G03duEs)EM#+_0|p3LtB>9H5W
zW1NJ^=w_K@8!u>6iG~->q?=F+g=G$`GMj!Wx&%*&q|}QSiq~#-k3De5x<yIhgNnR^
zE$-4yOc3O#RK>P^OdmdMkgKs9VEI>uTVuT&P{FZ3;7ESB8M-d<NL!Wl_B>suL9J~A
z@5X(_(!6hCRlUU<2~SJS2XSj22?&O`Vw0qPCnF=XSI@CIKS^!+X!$^0>~s7Ltn|ip
ziKa%Hd+R!QM$B$%`~{jhYUhb3+K9T5c`PcALA9h=+u8Mt%G}<~o;xnhnL8dGhQ1*@
z5YOy|^s#j~{GWQ#{wu!tB*r)E0chP1HYS3A(bC&wtGwrVAqFWU$@S|2P;>w2T61x6
zIf6z2>x1=Y0BEEE5>gJVpAAZ}JhcniU|LpI`$;(z<XeF6B`51;mjQqCaeRE-)@~e7
z0<)n!D#5pt!O)`e)#LOa$|N*2)E|H_*Tan$gBy6FC`6m%b7JBr3~Zuh+PTWxy5%I$
znUZs0U*)tZqohPod$!ZbSCF2OVF>8_J^N*nv$HcE{d$CqoP6f~<uS3u`CjO$5pYVB
zzykAJ|88ae?s$Rn>~!j~we=JA!wZ|LQb=y+pmJp6;^NvZcnZ%1p?Xf_IkfEnwUXtS
zEd4J6Mv;?}l7cXG)&%f#a}$Fg{gFe#yE;IEU@E_qWUm5exV5*(<s_oq4`hxPDAP5w
zyP+(M>0UH9=8siE4b6|3E(9p36ljFIbLY;`FtDQ7Z{NNZ1CYtuzPgf%O2CZ7s%Bp+
z?|CU6sxbo?O*G{EWWNbi^!fczWm7;sAOo-V73kex+l59xRzCtN_56fk4i1hF#l^c0
zrS#?~KEa~!DHn=A111&+`pRC`xElN|d2MZD(*Sm`1x*B~`Wed`?fv`rG52g3P`wN=
z;2C%W%es_J>~y_22FR3?y%ld@j`DPV5&?n$Xhb6@!BAv5Tl&^YX7cP>L0v1VH46Z=
z_I5e@e}Bp0GUtUTZR;tILjzzi+IxHbK`x%;Jd0aiS*bO$h{9Q+eG0`3Lm`TXMMM(-
z;1CU~N<uv_HfSkbul}>0t$YRxh1)@`gz9eFsNPjU>Vcd=^{t?Y=;!)@`)k9*C=1Zl
zO(<>G?HnGaOcZfw)YkLR%xTvRg<>C2RKoVo&L-$W3ZS+sM+0OuKdP){AJv0N2uAx@
zVWxEW<s($XW8O1w;C_Q?MJeb!&v;Sn81UK*oSgW;mGYruV4zl8N?Ljb3N;^ZZw%1s
ze}p~&RQC*ExX!!XLcB)pBv8)Yf<;Af)PPWb0)u-6eKpV~bAbj_6G}plYPbM-12p1I
z4nU{a59e(|5Xet=3r#gc0sk8sw(!Pu3-!^GfWuNs6d?!p9YO4&8E7C0n5*}>{spLZ
z5LsE-z12Z{kUJJq#6l~@JrR*qnC`+Iemy<C1X0t|)-Gt}xaYj3pS^@C!U0BzbnO8Y
z7EV{`Xf*Wl<!I(wZ`K?#u(9EQuD+?#VGV@X*Z5c%rI<l(feG09(ed$DXi&IkGkZmj
z0Td5#t2B_a0GG@xF9$?Ml3lrSr5=Dyz|4^E8{}|Mu%XET)ncPB7|&}l!t>b&@Tn7U
zb!oDpADE!`vJe_o0Jbq~4j^@2&CXOXjs-wiS69~>=)%U{USc?#f@55&P{H!JA8p~$
z=|MvY9CJwkQV~=I2?aeFbjqM1$H&LkPEG||TPYnz9Cs(xlK>*tX?q>G0GQD2+ki&C
z2~u%E?GV_r0dTM22%AuCa9m!g8z{0xu*9qnJ^%T+4SzeTaRdw+454bXwh2yGN~9z#
zNItbPD=X{XzcES_3Vr+M_y?E-^juy=K7-<;u~Cxic}doQ``@2$L!rS!e{~>xNIb^z
z-(LfOJJNeTa|o-<LBmn;s6}yi9Gk=_%E~aT9fAXx;4lUNDVqYcD<IUMo%|3H@g#P|
z6WD(|;wW;Ie#70vLs4A2pEox7-AQ)Ws5wBJ*^Z)(5~zglk)tCtIO5aL&>%?N`2jVc
z$YIdG0QlV;ASypE2G4-Gf0~I8s2y~b<h${pI(iUbn#-%I<_5L(N;h!97Erziv>7N`
z9koAj7@=*57)avse`RBN|Dwm;*d}!f2ThdMr|Rgyu3BiF#tl3+Kx&KX<lzC_2-?mt
zQM(PjyVk=moTB0cLGJ?yVq^2iYn&ES7J_rr4c^zGOZwB!i_Vr7OxW7=Bt<2qk~?-^
zxrKFEd<f$*4B%)WUeGW>BkoED?zav4-+t#k<6pD6L@l<s_(bJQ9cXN3=I4Dt2g1n1
z^Sg4pZhuI}X5kk(Ko=xTHUN`y>DAJJ-U51Q|D*p5SeAySCXAmGjymc7i5zdPA+T1D
zcLWb`adC%+zk8f@a@S3R76aO_a8Q`wxe(yV0ID!T3-8UFH?K>$-;+35W`w?EonBo<
zdHDvQ@PFs)2*Gjd{Cfe8?sIJH$KYTBfWEL4qq*LLgajm!iu;VLteIUiMI|LA>ZYy6
z#>P=D=VfD7O}_Y)*7NP8pPRwM1vfW0bG&P8oHSCE!J$UA-U4Vf1B?0q6fPU(b3~}d
zG6i<HYPw=6$-B6i->Pzjg@B6h3Z2IuDT?q&mBt^pX`>AY32A*5DsEy~pqZ=XJRc?t
zO-@)AV`YS+qoXLi7Jy&_p6mJoH+Z2H348|{N)zF6IHA2kpB-*dii^NeZh;dI=adve
zIN;KAVEm6RFV4|Y2IhcA!2+-2<?k<>?P9+%P6ZTC1FC_m9)noFD~1;ptO4K+EqycG
z2s;a^nd?0I2#acxu6gJiAWHy9;zv?|4?rQoGNCtLENaZ5z+_Y>W$Xo=LBc8g*#IBZ
z-vtoAJlh?5^akwC_@!Qn87a69i9Fqkt4T>o5N9|_DOvUgv)&D<;OH<gGP<#)zsu?f
zjW#whX>4ft+SPgpy9fun_+@c8Yzg?(N9?}P&kDv=(lsrPkWo-DFf(Jqvw*}Yl2E-0
zsJ>5!5$bT~I{Z_XwnQ&Xy6W*y|8)P403p05rKUy-y5q--k&Bg)5fR?dm|5~>`1{}U
zvvb)_iUN=reD(Nq_XS{7Qsm%1QpcA72Y<Hc0c-mZ;s+2n95nH45|7rOD`ekDcGXdf
zM}E~<7Yl*{2A<P%$5Q(XtZ3|gbe{{569hbW1lzS3FDHdIC>$J|-=ZNTmEn+Jm_LI7
z@_Jsl*Sx|}<8J?7F~h)aDysm~n4kQM^M+tVhta7aliDj3M)HskzdkxIkE<pvz*Uaj
zL2{Gezx!hdXO}V!Y}YZ<^vQxhsPW*nqamYg7@{96?$N?uZb0OvRiwU4>VNpZ0BS|D
Ay8r+H

diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map
deleted file mode 100644
index 98066fc..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::AODELd" name="bayesnet::AODELd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="102,226,236,252"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="116,187,157,224,154,228,112,191"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="184,153,317,178"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="227,191,184,228,181,224,223,187"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5
deleted file mode 100644
index 2b66607..0000000
--- a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-cb0c139611e4782226f297a1cfe9fbfd
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_a_o_d_e_ld__inherit__graph.png
deleted file mode 100644
index fa6fe72a415fb8b0fdf0462ce25992cef040c4b9..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 13060
zcmd6OWmHvdxa|UojnoDe5s(gp?ru~%MClSlK)MBymXHzzX%M6&1nCk9K}1TrQ#vID
zg!}NFy5o#<#`$x{z4!A|_t-AhUhn%pF`qf-4pCFNOL&puB7z`<^7mvl5ClUSeq*3;
z&fhU9FoeHw9x2|HMb6HDrPt@gAP6lYFDs?#p1eNsOkZ>FRAOuB$xDnonAliY0tAG0
zjIoOGRS!cSJ+ggo^2^WgxO}|8&h_JCm-<uN?ETK70S^6``2{(re6(&$n4UgKWm2`D
zU(}a$>t_CrXJ@Ch%xH7%#2IAgg*dgSb64_?&}R1&B91P89>g?^tCjp;{`ip^GRE@$
z{rg?I40XrL&Dx46x)<@BCelUYF2zO7Gy8b5yb7po4xvz!0;b?4E(FhUsIeyEj+FM3
zlf&(GZ5&fJr`;v>YDHs%DCrGMa#JN+s(>)A+BT_g<fWef`Q?-S{e-yhKYqwsTeA)p
z>OBef5XP2|-kN>I!5_b{yd1)1+FI6Ob63D_vZZ$O^Q*8h0?mgHXE$m$TSKqh?rHG$
zMkFmQZ%(?;5!USu>Z#=qJT&rFS0@=P(DARFdO@k8qEh9$PElbq_A)98y}Lek)zZ?^
zeJ1c~!Dqu(>tAl0Bnyj+4D9S(6y@J;2?~<mym^x?Q7f9U?qJfh>e&wSM%5fq?toRY
zm?zmKW~DE8X}rw(gu7Ejf{r(8iQ6Ks%b1xlns+6Kq<NoSYiw*3^xS7fB=ZMm>klSn
zl$FDkt#b47r0(3oVU)*2T3T9Y#l)_=O}JbQ4Gp!QX~Iq_cw6G?H2>{&?wdE4t@8T&
zHGgk!)6r-A{Hby4=1oh-&lwr?(TsUt*9UL1vomM*4qMdpTD+$eu#Gq9GUilsaBz4v
zwl<J|m5GU|JeRrNP!(C)cSsa+Vh$(g%IG~=IGWU_N&MinHe7P~+O?7S-5_d@;NW0K
zCnr3~%+t!Ohy^P~`ilev?<Z>A^pe}gSMSMcK6oJa;K2j3w;yAoqowagP=!Pv9|X8K
z*x*U4s;cVNxpN7Lh{T}%%zwm7{rdGwR`$)CH?qFIzVpk=@`i?nWzYXO($go3dGdd4
zX^9{0UES-?*Wwthb>ko*d2D8;W^d1#H(<5Wn~7V$Kl(J=Xtv>W?_>W*BMEpW1_=p?
zqtoNfkl>~7vA5?}Ruq!>ZRp+H+%#@n=JnXMxW&d+KD;1yFfJpFa&&aexGv&~Ch4tl
zSzT(xrQsdWIxDHBP3E_u5ZfO%&2C#bvdtroTRB<INkbtiqR&3{u13Yg$b^K1$o31O
z#&m<K7e9Ual<Rr0p=oHSV%iqLl%*kGR8+LvC9<ieuTLd*ven$V&&0tInVg(#alF4i
zKQkj0L`-AbpObBm{^Z&lM~fxN#l@wmsVSS6mp8w;sha<=ke)u{olMZrjfq-i%7*;>
z+vjVRmd1SM?jEI*!$6-gKW_#r&HV7;)-4VW79%4gkH33Ec^MggpGr$DzxZHWrleHV
zD$=KeRYL&KrKsF}I#iUUo_U8v-3E=Bo|}8)r&alz)KnF5aq-=DmNaeanA~k@6AcYg
zo8jVj?QJen<kzn&-_|O6uVwfwFk3b4{6gpbHJv{0f8CIAIE$N?FZRVJIC-KgvLfQb
zoF-^$zkHDtwx32wNNgr*V(&yyjaVD4SP|gkXTE>WILTo4>C@<gx!BuUO?`crOiWDN
z*Gk%=-n_wrJni;Ay`-+L-ebXA<-AM^TXi1RN=f{LIQ|$AJs8N^MD5j5^G?6gQXV2|
zQB;ab(65fS{=w6b+Rt_tOr}12(bB^n8h6C8-MDqD36fgLreCMh_PV~lKIij8`!EW=
zi&xq8i-*ncH#IkJ|5W5i@FGBDvFQEKm=LzOBqpnag@|#<X55i+URPowg`kLtOz<5V
z3bTiLs}}8o0y#{kr-OQSbfThEU0q#;R!Lk>KPjM({`@h4{myQqqoad|SG#dp(0z;c
z<nLb+3X0HhN&)FSO-v*?C56j#-}-zBu$<$A&9;+2I~a(Lj!utNIXSl(%FoXaefe@g
zRh1x$j?;cxa&5f&5*{Aj(nPI*w6t_oeEe`awVj<^-`Ri_pR;hvSN<`p_GqTV<EgWV
z%1IA=5w{IlE2~@Lhtn74fBn)~tIZPE{=mb@iH?npJ=|`ip&W2r{>fCJQ;H+oZ|w2!
z%MmyG7WJ^aJ)Z4kW9$i%UR;d!sHeUadl9ie+O^zW9U^8?O>Oz`AU`TKH3EtrA}J~9
zV_E%YXOZF7t&8Vpp<Bp5;W4|uPDo5lJU>4l|HASjK0chHFH{!e-KE}m5jS>T3c^RG
zrX|)R+)AmUBmG6v+j^geu>G_63$xgLN<V#4Q&Tgp_-E5qV1-pRHS}CuB&Mxlmc<*e
zeHk@1HR{EB9)zp|>KYn9*90rgM6JaZ!gTx}?4t;AF7VrqqYy!-1%mzcv7l<FMS2kt
z%8iW;6afJivNqK~16!PJPa$AS1xIjx=5)fsqnC|in3bg+9JprZ=A>l5wYN*j%3`^0
zPKHBIkiBzf7P`mQ@88n0vH{EdM2f8CcnIvt<HwJ)|MdO*xdn9~5dw!I9Ov1yXWu$H
zWF9@DU-*&WZ&>d^$IANS(G=TWqecolJG(Z-p7_a@%-UEbG3={w3XzEG+81abiFIxt
z3th@wlJ$5N!d$d%s<nSY`w0yWrlp~wff{ugGEX=qV%I|qHXx#|uI}5^RN6vk(p|;3
z>`ajA-#a^*=rgX|euzeD+_xY3yUxwcwSWB@c(lK+cq=xPj8$8bkB`rcll%rNYZ%q_
z>z0RGGndh5$s_?gTYJ)mnwru6uDWMCOTXS4RSYwe^#1<UAz%2gugIV_IN0LX_gG%{
zE#vzldo)7^ta)dBrB757xgTFN`22i?H?sQklP6D-)@7Vr6ryGGwLUVJ>ncY?M8Mh0
zPEJl{=da5Wa>SLDpBDqCtBS09U&q<RJ7-=o6&RH9qgFdQJF_6t@AQ2%tRFS@@9yZ}
znYdVL*~gp+pde;_z~E2)i@zTJ%h8Oz5M;~!dG`xH3-szI$(mgxddfX?umG8<k}>MJ
z*_A9LlaP?WM&V!4zwOyt&F5uFNF;5JA6|5sO30D%98~BvJSceo9&52Xt?j<5SfJbF
zGu*yx<<jLN?IC*r73f}5V(~*-Z%v6(iV<;VIu;h(ZizF|RIhy<BB|E+f&#~ZDz@{~
zOHE}TTDfNWBS7NiD=zZ`LDV%<*GT^;c=;ohLDX$S-*d2$-1L*><$#NUv%)0n0~WlF
z{e8dQP&}2Ouc`g?L19C;=3=0<gTV#`xoIIfMwWw3Sc!vQg2hyc{dq)BE6QCOC3@5C
zdKlNv=;<}h0-aYe7PLMcNIECIeTSxl{6aLjsq(a#G$p;S1>%8tWL{WkHy}1Gu%rs$
zXJiz`@Vn@vfKH9BrEb;k6GYiCGAF#0qD`M{55mBYvB(W$;%fadO<P71!WoIASYk@$
z(29$i7ck7ymiY=yF$SXJIgq=3vKV(!qI(NTEv8-CxXlf3_@gL8OK1;yx8G>(|0VBh
zac+$dgL_M2E|3g}u%3n+qC_V*u(?`UXOB^Z*2{Pr*Z6Mu`6MOieE<G^x|~IU_sW|v
zu4`M=?_ztE11^}$pc$t}GewxoP36N%%<a*-35;|U7neH4KGKpi;q|WTTr&N^EzVn!
z!4lmrCwGI?r!?yiDt8cn_k>Y@OCW`35Cd*?MMxojP#=ZqgCt*P+7fukH7NCM|Ch1>
z2}Ta0RA=-1gVEXFF`K?WJbUD(`z8+DOsp!*r$mOW!kpr~=3ygZMAEJC6LYj?|Np%-
z>1>Ul7CS;n>Mc6?MQWW|#s4C-+6hSvZfw^>(6iocku+zS<1U;y2+^RmQuO=J(!nEu
zkOr+Q?o&o48l5e=G!z6n(?UUtW?aYkBK1ueD<8)sWqR6JkGG>HIP-4gcLPjQ!Y!fy
zX$N%tIeB<4-F{dQRf;t-Uia+M$NGJWY^4N0hq>07geR#|uC5i!e*jX}Z8hQNe)#aI
z{peL_D7@xK&(7W#Zv%v3GVtNSaOo4`pFe*VJIviVhouqs25EnEci+|5PfljimIL6X
zp`oEGdIrVXe#+}$X1K&OI4rE?M*`3GPPYUDK<6jjso01`x$Zf1&QAYS0lnDF%uF(x
z5s_3<BKX<Y=P+d8_AWOUb>7a~J+7_(j-V1EjRly=7Mqx;06;}nR#R730l=(smlnXP
zXvXrY3E{6_znbw<P$~;hggei*5|(ycBfz=E&Ti|FRPV8u0b>f;5TEOsc4%0bb$=H;
z)$+R_YJg$m<NBCAxkOH;CV8rzdvAkpaB@aLv#@cXcAAs_uVAjH=i?vDqoe_;si|d9
zo*i9Xndz`P<GK95cXWgV-?(`*1oOg$_P)LtsO%PhegpL71#A!+62euUIkcLm_0h1*
zZPSpR{`<FY>2Qb|`2+o#cZogL%ZHR^wuc%{V~_S$@7mhh&Mz+Bo$@{tBOx)Ub_~=v
zFtCIIH@~r=axu{FP9(K*R#q0-Slwc(=RK4ZOfO}oZAA3+y3mxw4yXOIk5(j3{{zyx
zLj_lZMn=L%B>m4y<5D}mf6oB;dH>lnq44V>ac>lus%vU~ifq=&z_hTt)l8f;$~kmU
zS0{Q7q1VSMV}gQkuZusglKUuvOSk$HHUPQ7%={7tlpB0}u>goHAvR#G&P!^e^`4c>
zZ@UHtV!64wZ_v^Cii(Qf%jqK_QFnCYuCA_DfAHW+?Ay07A3t)`pB}Ahs;f(ljEwLa
ze?daS!?OUCM%C7e#J+h0P&l*v>Cn$y^~~U0eiVk9rsieKa$N;gRTk)^NAoeNtQGS8
z?vb3Z=ls^gJ@a$*o(Iv=?>Gl+yVj*FY*`am?>qf1JkGpCPJR!Uh>DgzqfoE%=eO4k
zA;GNs^+m14#heNX3bSI;tv(gFCJ!IRS&rWRSSQVJCyX|;_a1~Ft$cKDdb$rpbS^~g
zWf~e)n0e+G7R)cEF)7CNGzH>^1X~Oh8Jtfw5P$CntmN|te!^68Q&cpW-RQFtG|w{V
zc}LKT??p3yC@Qi=6TtO61Kg&q1Ri?>T5Pa_8kxDnL-&=zLdxYmk5@Yb#L|lA(a5%J
z=Oks3x9P%1E#g`r=k>7}a-U+vE^T{fr`ZSNf>NZ6v~+r}MY`Gz`>koI!{cKHUf#<9
z%>p#?un>T^ru%Cn!vNz6a4zg`PDMh`y@0?hlRjX@W%dn?g^f*j;|2;&8!c@-{l#~<
z+KGjfl(eVT%`PAyfR>A^L`v+u>7V5fSS>jVzp|-#XlzV->-O#KxyWz{_g_D=6tzpu
z34?PRo&WuDb$=ev$-FFcB`051v;MuzQ>d=3jjA^!j#a=$1ig-UA+&>HSX3WDsN7Rk
zy?gH-3ZbQ?{Zcj#c$wtNl|Y?RbE(3Ira%uMR{lSln=c3n31u4%HZ@5D^q+1Grz98i
z;9clS!4JRVKRm3>s#ie(x8pC*S3B9Se8(QeT0WvHB_(C=;vxsp-WqnTZ@T*5Q05n1
z3VcPc^KrSNp|iw%>e_0q*%SjWIYGAPAOH@3uj74_jq&PlU0p9B{2+%h5J2*GAu4Vr
z!zbecGOFACsTdp)!H+%sUOonfzc4s9GzlaKnuNp`h71M<h6}G>zpipwC4=OLH%)51
zT1XXbFntuVq;+%>EKkeIc%L6F=O~N2Iyf}KNV+u>MDqw{o1WFZo@HmKO1S3?#8pH0
zcfCh!;elD=<>d{9%Oa+0{5C>&hyU-v$gYA7DhiU`{~1PBO2jdSJp5>=Y*n5JShT&p
zJ*2L_URkR?gd&xpjF$`&+x)mc`jp=-qDNz@b7HoSO8oA(nzBJ06E7$Qnrdo27Dog5
zT9hXlKoca`29A_jUQ&+deAm9eQgmY2@S?uaSw4CR;=_5RKkwmGl0}g+Jva8lr$9jT
zCh$DD!NXH3R~}CZM|&jpx3F7dO7E3_l#68p3ra7usw)1);S4SXuLb(Lu=BTtRnx(*
z|Kw0NNrjw>3Q?-}=`+#ewbFQgo5b;7oUOt_BOfU$<sdAf3;kmE=NgoA{tnfFyp;KW
z!xu@(4D*|XkHcJ;9}-H_wGhkh#`BG>t-XjlA_`!fAtrjJHD8p)Kq7rY>qZz>;z}AL
zyV=UvTMOhDInT#EnzSZeYZc6!6XQ|D$m7RLfTzfR6@_pOk{hv>&<SXT;r3jT>^3^<
zCSUadP!^2pMVygcwP}ayRg*BjaN=+qGZjpsn(7P`W)X0Jg}Tz+$|OzvMv86ZPkAO8
z%1E@dl$fwLay^xN6thV0&lkY0d5NScNicgcIs22$E=!hK1Gf7yD`QHj?Hr{ac!?KD
zw)IrdVr#rDF8zkDoXS**y6&#Ug(keni;@FNcz*u6v>Gn~rjpsCM=?#rG5Y&?qDgng
z>Zx1f<(^wuKgPe*u1IHp!RP0XC5i`_FK7Z^HSHIMahVfslISK#8xvu%{tcnKz?uK|
z)}t`KApf3Gtklb9;y8F}q+4d5aV_MfVZ`Bu7Ry8Z-4-o;yb?w4HJiM5WMB6YJ?3gn
zZ1fCx$asw_+{Y0at)anm);#8~J?i_;#BivW^Y2J78>@QNI4q&f^S`GL|7%k5|HZpa
zx`bKp-|Hi2i^Bbyi){UfkBAzR6VvsdU-2$6V~u>+28!>~gRz49V<IL^0YZB$g4+3y
z1Et^n-rWs&`}S>lqM1Sboy^A0B!LGNhN@}eUenNzRtJhz=mi9>!WbK#t;dGK`118D
zHdOCH>u48sU<rVt%<deTTUclvW8~?z;8j*xbo%c%>&ZZVD_d+rLI~8@0=-I=h=C6C
z&O|=oU95gr3rsz~BnC9wVkpI@-I_OXakJq9lV9}g>aojp*<@TQzK)r(2?z-Mi08U+
zFyWRK_MkkBuToxTAGNcyLvr;hOWTLSe<M&+&*mZ}T0<_esHv;>E(P5?_4H<|XV)zx
z+pIsJwz9Gst^TlY(mggmQu<_OdK$sS#nrEMB_tNxMaQulST)}&Y)%||&*~Yl2P^aq
z?t$)qr+Wf`Ej2YYI>W`z2S{4qq$JAAp)Z9v<Vk_M=slll-||p|-{9b|bL=k2<F}ir
z!A?;b`Y@XM{C7K<joE^gWfAeh5fK7Jjz|6E?oerVHV(Xofj@kqe7B~|*()Ws-X^9m
zN3|{ObeE-X4i3T;VBT=CiHv_zZ+?D01_JyMEj>W4FJoi1?e$#1Wv#5N+z}|%(=Dnl
zu~;3h46xSw*l2tXcb`9hKE1IK0hLTTe*hDSj)@@wq6lcV!^6YruUCz*5J1kjigB!#
zJud+-i65`=AYa;JSR7z)o4dP-0flOpTg6(cKHXaxAm=njpmFs=3xA)TjhQRP2qa?j
z@n!=t2M33{hsPs0l<eB>&hlrl!5Qi4$oVSTXuJs!?S>a()E-N8_q{45Y*n1f<5&H&
zgn4*)X4cli_Ev|QhlZ}gCmrsjorP%`d0hbtW@)lsB-L}Hnyj9EPlsZ)E3~p*H}g)o
z^y9}&w&PX4Mlb$g!#13EG>?OgaF|kNJ2)BwA|r{VWn_8*@SZHIdi(WSw0NKH&=64Y
zqRw_C&iuu_j=n(GcUtTMa(R7Bv6JnIB`a&VSJ3W++tg#AU}AOY0c|2`uya?gTu}#7
z?9cIWA8=SeZ7lV?EAu?Cjb;q_{rmT~|D)*hAEp`0CnF={UjBfFhllW=!^0kywC9gX
zl<70zv4FdZ&NGsimoGDE#wm@wfQfm7n>+e+zp{bvQ2yRMiwZJDFN>m0WGRFtl{Wm2
z3=n#Z2(Qg3@2wj*(m#Ga3PqysWR@J(0JJ1U&W9FPecjoWf&71#J?faGBrpHY&ku8w
zIcbF1$a9?!bddKyekdI+B-vSfe{<6r1}zej1jB=W0kj$LPcT;O{#i`BM51nJNKHu2
z=`-oMDb`0WzVm}e^ZtEP4_gSAH%UoPU4;O=S+1?x#jx%5sY<9TD14_*vT?S-Ybq#U
z?JGNHhwp@uOWnzQ&8}YsGn%@T6b6(pweD20o8scBA3l8e*4f#)E6t(vDS(V!|DLRD
zt?N2HNC2=3=E8@Hx`lBMi}dAZW@eoK{C@1{?ED_WsgI-KL>lhp;=)Jrx1!ge*0oc!
zBkUT_(twsx`7pEkTzHWX1_lPNRsRj$Dti<Ew1X+{h7n!XbLP#(W-xpYU_1(eX=J#J
zC{{u4?DU|4?KAtHK+QsH7L%|QdUTF|d1>h$<m~+HtTY5GulWyhn73#%ru?=bBxPmK
z&*}HUfn854fOSj2o7r6b7QESugCC7l&p+(zFIGTbC6(sr@2(bWi;F=R7jWXKg8~91
zGkYc9sZCEe`fnW^+_kW{an4X?Y2c;rkGHIil$O9~M^1oqPEGDCcH<&uj~`3r4?Ox7
zMTfe0QCdw6Jv%!~3+e59p~PuXg^`gl-EDIcg@-5g=+Ps8kCg_R2Zax1a{6?vOAAvy
zR&H8PeXeip=IIvgvu2As>WLO!?Wz?N>`x`5=Cz1g7NQGSMt>b&)ktG&&0;7XvT>ZK
zaRJ5|{y&GH5!Xdtg2=!h{{%iB@qzK3j+eKr(dqQ`w8~))2T2D_V`-!`XSo{E4kUwb
zvyO4CO+SbAVyv$!La}@|wE9kC;04mY+?Ue}(o3@FGg6Q)q#^u)IXl-UF|vOxbf-mv
z+VCTh58tYsVy-O`SFN_!-QAs*g{7@b{W2LD<P4^O?f93a-b^l_(=2!?T3TBljeL3>
z4_Zs!#1TvK@{p5Y+-O-=wpB?#t|Bmx{kffE>h(^Z3x;ox<|(e~&Dnf<Cg!={0tYi?
ztozsIeO(<D%wgI1bfD2y?R1H-u|t{YN|Ug2SSyqpe8mJa5Ehaw<b(rqO!IiP)9aKJ
zLQqPua0XwL&7A%{ejOY8cohAgK)ns?f6&ItTG{mU^u<t3fSI7><|eJQo$!16_A0!o
zgkchr#g8GGrNMW2FYRCPygAK<a!MO>bMwr!1zU{b{-A{wYeJ`wiced!N<R(ReB#Si
zNeMj<)5DXUZj64ztkd5e9Li(CjPk+Z;n;|NjWb>l(RFEe_p0;2lXEhinkn0-GC4c_
zdy}5t4|>GCcWP?R&b-Uc!arB{cx}f8p~TU9dwVAe*io|?)Vz7_<#kg);B9d5!vbw7
zWNG&6E5gz6$Vir}SFf&&RdVEM-qI~L#u(`Dk7_gqA%OEd5oel%?n_D{Hj{M;!7oH;
z?z^e@1zSwkJ==w6)3c5VJ|{2UKg_p;c{SUK+8>vgzuf6~&c_GA?3wT0o@-+pd~~jy
z)zx=?`oxVX333z{TfRo#5+oRz(c7`^Hf@TxaZACAsCAd5@hXSR5eLf^(Qz07+Z!8w
zF)=ZraD<;8wn;=Ae#`+y)6v1<-Oc;iY7H;`-UGTCkbw%0f8)Q#WSXEuhLaI%wO4x5
zsP;L%obC_wJfl1*C{d$jA<RngJ!YORS|de94U@(-jPlN>C(ndkR^H^L#BmQXlc<9l
zu)KHluzcuY=Xnt+e7xaOGI%7ci>`RTS*Oge-v;Z+gB0LpgZ5J6wy7d33!|qqNJeCA
zcl%GYwJDAVmx`r^DPYRqZ6=oJNtg16ej~$gaJ95Bf-0b}actgh1=r;6z)TTL5dXz&
zF=i$Psv$Yoqk!?pWg%;JB~Qaab9tYW(_w&P%3P;>%FM`!W#s+09R688XOzJ#j7x9&
zKlsej6``ik(2I~zx~1}ia^*uJbcshqdggho^|A;;T6pdSX!ud@&}b!fLq6Itvp4?l
zq}re`7KSg8$3flRl1;rIFkN~dGYm%BU3)i#4{GOYi{oWiWG+6(YEsF%N@PvVZcR;5
zV44^ssQ@Fy70EEfa7<V(Ikq;t=%s)0g;(+!XNq4G5IL+93DV(D4Ep+SYuN|I$(ZjO
zVbk3~u`>8oqK7N^^jp3eXlb=b4g1QmL?@MEYGJsi?{jL%OJ*SAOGz(3PCmcSd&cfH
znD;}THcQV<7SYCOGDC2X2u3xgYxaw6_vJqSU~-kG3b?MX#4SeHbiBKI<pl<L@HB#b
zF(4o^EP&Wm7A4L#*3NbmdJ+)867a=|bUG*3E9C(~i$#Duv?09u^f7yB$1LsI^a5kl
z&(13nm(a9W6wm3i5CSwpLPWaNyKny-pYBk}gJpXm>HW8BA-LFEygtjc<aE>8-qaZP
zNM~NohxyW|q6fHRM}Ik>T`?7-mq|jls;d|AdhjK&rJ1oR1SyLDoQctgj+NdSbX1J_
zHUuO;Rw@HteIVvhO?|`IYXlE3(k6-C`XJ<Hn16ApcCzdg-ZX}EUjt_YegEg|p;!fi
z5mEIw75ASN1j2KUb`s`bj1TyY5F*?afpZv>eU)r4p2$C;o57anb(&(4LO4-PF;srn
z`%-VHXK_ACL=-T{lM)Q_XhqxTEWj+0(o%tPP>?#rinEm_qm|OGatRe2wGAwJIL7@z
zpWc|%s(U*TU#On8#V&#VFw<rf1J{HlqtBG-$GRK}jb%70EVpJg^+8+DI*B#n($@Px
zoqIDrT4RN@B5hK`AuY<6o?#VSEnkdSiIGG{P2<vwZ;s)yib>s)3Qix@+Ssp`zJPb)
z1w$KyqJwL&e{qb1Ym+ejn;yFcQ5?Er)jY||Sg8idVPg0i-*g7)6XaeIMdz2Gf@nDv
zQL;_J#9OPW;uwrRdLG99KOT=>A!<@tXvUMiecAoNJz4|@gG!5%%X^2hB*+Ja5Z`_p
zRkizch25>NphV8-b((z>7jkg#OO;K`*SC*#>kw&fD<f6(mPA^>tFFIHy(t7VcU+_!
zCe6HvFq?XPUhi#Q(@$1%^N&KME0M-GZ7OdFl0BD~d86<gFI_25R`##V6vz}`Uq@ZU
zv`Gpxd7f3}1-dy)8BFPcUr6PrXU6Q3C&}1f&|}}h<h+5hd=<S!o$%dkuZ6KsHj6Y*
zw#wSMX=$wc%!`!$R=@>jMNBR#zxBuiRBdif1Fc)i1tJ9Xno+cdLHaq1oAUlG<`6Pc
z^lcwi#g1Y#)i*uu2A7_~_ThW7zfQh|E&lS0l9YC_OX#8IM&jDV*TM2ll#E+AcqgXE
zjCEf;J+EKFHPO1uNXBBy=JOWg<nfr<cEvc;h`$it{L<j{G0AxRrqZ$OVD0Lsj}{!z
zqak1AcUh1#Ma<2EW0H<Pr35yMLw%&j2my<4?)uDZ@i-q>hahVGTLxnylaB#H+VP#!
zTlGzDG!%e^_U^n&g+LArcc~_ZG5VI9aLdj)+A<!lAWKoaHC%hcO&?1K;#WzIL;Vk0
zsIt+dhoq7r8X<WnT~S^Bc4;L%dO5+F7may+CU0GcVEdbR)NXKJt9a>lqAcbV{<NRQ
z$l*TuU<o|rJGPjwLK@Q;h;Sx}rQ+ud&tFA(JbKRYWcYYSn8P_sA*fSSSyvEo`1-Kl
z<&~NAW(<0Q2j~Us1o~*W^8TOo{rDkllfA*4v&z+qk8GNyEEXZXGV>|L$-b~6_?60J
zXK!k=yQZsU9Y1Iqi};Knk1CYO(!RmQivY*t$zQm;dv(4@%S3|YC1&s_zYZgu$+4Fp
zDnWjt{-xiRRNC1z_UEDEl6W%;S`yMLm_^dlui0W+EMZ3)XmIJC8uywczEh*6mejDk
zneoT4d5Tp?iGk6#J5Z7?EO?lL&JoBS9bCB3tk=Xt67`(Ow?pB2woNK?=zNj9EtfoR
zijOzup<8*t$Tmra(nezZ-qt!#!Rz(=Es@aypxRw~AXsszxWeJ4?5O)jRuMIfZ(R9_
zCEF3@Dpq&*+mEBYSKlsS97;B6)_T^G8_9m6qzd?vaTX)(ra5H%5otnxl)SzDeovw)
z42#T$`0BRfP>VI}W`Z1z3VQT6w=AY0*0k{tlSH_GMTKC9=&dV<6qqx9=q|e9y=`i`
zr`JS;l=OEACvFnl!<uG%6Fe-ep8U3!*&Iqx!2>d;J}19ok}vz8Ross{@n-iowKvM3
zL*&v@k$xepr@lXz9U=-FweC+Gu9I&~d^PFCU-8MMRlZ>!7T<oyAv3~PG0W=MGbo??
zn*NYD`+@#Z<)an$4#*u*lyO-Sr3M*u^xJX1ztpc{mQ-n<<4mXhP2T#pznr1Jk*IwP
zl-8g*mr<WF_bewO=5uq5`PFR*$Xk1#yR&Ym9hgDHnl*I%Wc(fL!-3k0@yQcmeiZ{3
zkV07+d50r{7f)nN;=K~#H78@bUu&JpYAYygLgmwUak^HnomXxnF>z;JU_P&)aR^J4
zz*nBiFU&vcukHE9eO8HQ#yVv}1(7lJl2$+Eequ?Fol9_tA!(N-ISkK#evT)HJ@GoK
zxD7*`%&+f6V+JAmSBQegkBV<Z)iMuq*`vAh{|R&7NTg-YrHMwQss1Ho7xU#|xd5{)
z>fWTB5Czz}>kvAnAs#e(d*K?9&m3`7|8i7vaD08`nGv8~q^sT5BK6JM+=M&u7AoyR
z)h&5<v%3L3Ws66P=dF;C5<|3)gm^%wtr4!Wf@dVZau1U>?4r^i_vor|>QyiL1br&J
zGb}Vwlb_A~mW_RFj@4vAlt?;=9RU}X*xjxV(tAw)vVA_iEO7xn+ws<rBwDt@kVUM{
z3a|R;<!sJ{)yr=iYRp#m$}@km=~ZkE73p5XHNh>j9{Hpg%}5wsOO)?uk5lsudE8Le
zeUz+^5lhiSR?&Sl8Y2C!>ZJEB%><L%b%SvKaqME|n_gaCGmDEXZrAyz$GTQm;dg1u
zIjsQyDO9g6g&w}N`X4mk&tBOveHOfeu50ALUopAe{B#IHOjKfGXityY?&efO?+&mC
zhhP%4UmxWIM)@5~V^tujae_snPZT60AC(*)u??`H0bWI;(LL#fEiJMZ<)h52?(?tj
z_7v&~z|e;aRwuTay_;fU*NKRTsy06#>y8?jGt}K3ZU<tDj*U%ugZoA0Id68A!_a!q
zaq7h}8%UadcAx)b_c{dz25Q&3vZ*8s`U18N1E~|NBxit&w}AeMUjS1H`R|>bcWV8o
z!up?|UxT}|gFZ=^F*S*`14wjwwEQV}2Q7E+FM_buW1+hrw*nFx?d{w7177BXz=;~%
zgE>1GW#ux*5tpBvD+#j<t?cTglBSLhUb*gsg%G_oh=Akc<B9qz(Tti}TA6y4wrp0V
zFu38!tcn*ZejJ)>3Aq$6=s*ubcIdfvN=PUnbqc5*5camlow^$v-?`o=#>a1_Io-mA
zv&IGuhFs8|7BL2E3OS$E8_SV%@pyf-{QTXQV2(>X{c?fW80e_N4?C`~UeL)J@(Ili
zr~(XpdM#wZR~JDeLFC`)<GERX75^%GKupY~E^t$N|6MhL@fK`YC_=)oFyf&pDPP%6
z)XV^}f~ZmIf2{j`5v(*pF!$1f=L0s+=T4@tLRQn^_8iHzYj|{6pATp8Prz7p2Z$;#
z4V9R+lM+w~qCsANI#|${87Uqr6GZgx!-tD7-nws8FHWzmSyy!OJsnJksgvf#Azemh
zCKnJB&q2Hsblaec<1ivZ!l^I(L&~*XcQZcPUB0KR{1rI5ZCE3MfMXBl&A=f;&(6z!
zF0l9ryN17HU<J&ktxIWWkN{iHD>&35DfB7zldj}O@aX^@>I-A)T!hGmBn&$RKl#r)
zP^}LP04Tbx{V_YRK+=p=*vNpMO3%RHF#QDsj7^V#g1o`T_Lb7E&KKgFfJU5Zdwbjc
zWV`L1<}C-X+kuKlaE%)a%tP*He-F5T6A1_kk^vKHirb_w$h+X(*;=ohn%(q169Fw}
zyHjAw7_=$vl1JD+qxC-_s*K?Xzjb%F0i_tp^Q3DUNF~0p1)$%yU}iLJ^utCG5#b=a
zper|0&#g!Lj>-(YX1Lqb*oXmIKL@x5l%(R{z6Bl^cNa*7cCH=ZP{4KY)q#+Jpan)S
zN~L4?@K?Woznt1%o}2SGX@03=4e@6RuD|ny<Allge6ELcou*x*J)|<Z%JumB<*KSG
zkP(sQAmTQ#9Z1RshlDg1n>2&ad9FXgr-7Ev0OQr2OcD@v5w%)3K9H$%HE$)0dr<(n
zd(J2aqkt}g@eE5PMHrjjPbH@r=mz4#hp*&gm}ejpt<^e!iJh6B4}g<lfKU7L=MUMK
zwE`F(m{pQ3_P2qPvfrMS3wZew69LN1_tjMna2;SFY7ZV@!x&zggSqSB<-g;t4Du~c
zia<f;fYrNR3yPC*>M-SM`x#7717AYW$bkL{MqhK8#BzyAhBZu&-6h{tG0#NmgXKP4
z7L{ZlG-i%!S}RbfbODmU{wp;MgMF>}C1ErCFc;LVWMP+!igEof7B#@$3?zE7$KDFg
zDtxGaWu*X^$BaiW?e6W#0kPqKJ8iF<@`L6rV5~sim7BoMIJZJet_vyBH^FIeS^i{n
zfA;KMK>@)(#=#H0za`F2N=KS!g`oxm|7FKnSh$GlPLr5gy0r_6wC)5^DIrl4dpi6C
z?6tz<b=(;Jh8Nd?j|UrGBP8Y4+lG^`We3|U`5zPG@F9gES(QEgz!;1mT3T9gkkf^g
zlicg-;19?I<{eB9=OyEOKY#yrd=6n792waLWU!4@<*A|egyGvP{;}C0nirDbuij`l
zd(l_+vEh^gc%gV+OHv#HawJwEkjDFj1dO{j#nvV!bheXqAwo_I@itS&oYPPh$R%Dp
zPg<!>fdT_%mQtysy`3vuDCQ~+g&RgRBf$LzYy@c8S#YbJN5}b(L%m7pl1YJmmXnjq
zwy#+&s!i9(D}K^V4TqnIxkBuHcmZ^Bhm%7GGznZBsGP)42h9PrP_SkYLv~}pTF1Q(
zCOWAf@eeU0H)0i_>?SRAfB()c=5{>S@s?u_Hin$XoWNs$&GHBjA72J&Tp;sjR#rkm
zFPSav7MJnxs96qme(^#a{Fhu7J+$LcE3@}+-@XlOwBPLPBQtaJM}Lp@Kn(vHfOm;v
zHxo4J-ghN;GA-@D)|Qo(_3pS$c>y(7<qI0RU$8w`NI|nG+qz<2(F$F|Cntx6-LNkB
zd_O^&tvWkB<^tIVMQ1<%jpXD{xA)7;OoolR9TgyManii@ubnFoK<tlupZ&e3qS6X%
zvW?Y8uuZuCZf7ZZI>dfXih@3MUbvy1yi>aY*5ClJIi6FXxdjC+P<uz`XP$V)jbiyg
z;+ueLo|By5{BqEL9Kf;~M$UzaP>7y_<CTPpia<+i2xoO^=pzjX&adO*UcyzTqh*#$
z;G>wGoh|k{c7;AAmD6Ve=@c(uXXr0B1T3O4FxLnIR#fmmn1G}lZtEljj$ZH_59fM&
z|LHJN3hITj8J=oX@4-jywX1GDS$7TWIBI#Cg!|?Rb%&Qeh@?O6h<ki=csM>Xy7L5V
zNNTrY!!c*!#NcZM*`7z>DFH3Y4Mi6f9qo5NM}@Bj<{7BEP&tD@jvAksQ0@ysK?;HD
zzXTFY{)RFyL_y!WV5L#|VLhX~G?47h!q-7KnOJg7+y~=%1W;^;M@JPkX$>zppAN#;
z3oiGZj2G~^M;7BR!>-5liHV6(c53P9gq)l_2a{yWTJ@)z+YObMq|5$P5IfmmTKryk
z`V{)+)}GC#YO8Hxe*V);2~DLJU{X{8+8DpqZL<}^1Wigx?<N%19(sUU*M#y??D$Ke
zy2H3Y20V)Y32iwAT-O9%4J3ehc7GSzJv+fCAg>Q&$VWRD!<!tqbhRny*_v@a&VT#D
h2z+%!TWjYGW6<t+iCD!a6~5Mj$jhn77D*fX{V#hC3Y7o=

diff --git a/docs/manual/classbayesnet_1_1_base_classifier-members.html b/docs/manual/classbayesnet_1_1_base_classifier-members.html
deleted file mode 100644
index 2d6144a..0000000
--- a/docs/manual/classbayesnet_1_1_base_classifier-members.html
+++ /dev/null
@@ -1,142 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_base_classifier.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::BaseClassifier Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>()=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;&quot;) const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>()=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_base_classifier.html b/docs/manual/classbayesnet_1_1_base_classifier.html
deleted file mode 100644
index c423364..0000000
--- a/docs/manual/classbayesnet_1_1_base_classifier.html
+++ /dev/null
@@ -1,299 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::BaseClassifier Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_base_classifier.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="#pro-attribs">Protected Attributes</a> &#124;
-<a href="classbayesnet_1_1_base_classifier-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::BaseClassifier Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::BaseClassifier:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_base_classifier__inherit__graph.png" border="0" usemap="#abayesnet_1_1_base_classifier_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_base_classifier_inherit__map" id="abayesnet_1_1_base_classifier_inherit__map">
-<area shape="rect" title=" " alt="" coords="5,252,173,278"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,252,358,278"/>
-<area shape="poly" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
-<area shape="poly" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
-<area shape="poly" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
-<area shape="poly" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
-<area shape="rect" href="classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
-<area shape="poly" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
-<area shape="poly" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
-<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
-<area shape="poly" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
-<area shape="poly" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
-<area shape="poly" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
-<area shape="poly" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
-<area shape="poly" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
-<area shape="poly" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
-<area shape="poly" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
-<area shape="poly" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
-<area shape="poly" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:adb5de0dbb35950189843ff123cae779a" id="r_adb5de0dbb35950189843ff123cae779a"><td class="memItemLeft" align="right" valign="top"><a id="adb5de0dbb35950189843ff123cae779a" name="adb5de0dbb35950189843ff123cae779a"></a>
-virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0</td></tr>
-<tr class="separator:adb5de0dbb35950189843ff123cae779a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac2100871673e2e86c2c69161995619d7" id="r_ac2100871673e2e86c2c69161995619d7"><td class="memItemLeft" align="right" valign="top"><a id="ac2100871673e2e86c2c69161995619d7" name="ac2100871673e2e86c2c69161995619d7"></a>
-virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0</td></tr>
-<tr class="separator:ac2100871673e2e86c2c69161995619d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a78c898bfd3e2416729324086ab2bf103" id="r_a78c898bfd3e2416729324086ab2bf103"><td class="memItemLeft" align="right" valign="top"><a id="a78c898bfd3e2416729324086ab2bf103" name="a78c898bfd3e2416729324086ab2bf103"></a>
-virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)=0</td></tr>
-<tr class="separator:a78c898bfd3e2416729324086ab2bf103"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae02545ac2d954733112f6f4d5bf68824" id="r_ae02545ac2d954733112f6f4d5bf68824"><td class="memItemLeft" align="right" valign="top"><a id="ae02545ac2d954733112f6f4d5bf68824" name="ae02545ac2d954733112f6f4d5bf68824"></a>
-virtual <a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><b>fit</b> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights)=0</td></tr>
-<tr class="separator:ae02545ac2d954733112f6f4d5bf68824"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ddf175d6893aac89a2ef611afe2aff5" id="r_a8ddf175d6893aac89a2ef611afe2aff5"><td class="memItemLeft" align="right" valign="top"><a id="a8ddf175d6893aac89a2ef611afe2aff5" name="a8ddf175d6893aac89a2ef611afe2aff5"></a>
-virtual torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><b>predict</b> (torch::Tensor &amp;X)=0</td></tr>
-<tr class="separator:a8ddf175d6893aac89a2ef611afe2aff5"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afd6fda8b5fcecabc21bedd2c02cab485" id="r_afd6fda8b5fcecabc21bedd2c02cab485"><td class="memItemLeft" align="right" valign="top"><a id="afd6fda8b5fcecabc21bedd2c02cab485" name="afd6fda8b5fcecabc21bedd2c02cab485"></a>
-virtual std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>predict</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0</td></tr>
-<tr class="separator:afd6fda8b5fcecabc21bedd2c02cab485"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a71d5bf298133a976bf201eb10389a64f" id="r_a71d5bf298133a976bf201eb10389a64f"><td class="memItemLeft" align="right" valign="top"><a id="a71d5bf298133a976bf201eb10389a64f" name="a71d5bf298133a976bf201eb10389a64f"></a>
-virtual torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><b>predict_proba</b> (torch::Tensor &amp;X)=0</td></tr>
-<tr class="separator:a71d5bf298133a976bf201eb10389a64f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac095c945916957d131fb161db0d69491" id="r_ac095c945916957d131fb161db0d69491"><td class="memItemLeft" align="right" valign="top"><a id="ac095c945916957d131fb161db0d69491" name="ac095c945916957d131fb161db0d69491"></a>
-virtual std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>predict_proba</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)=0</td></tr>
-<tr class="separator:ac095c945916957d131fb161db0d69491"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6f4cd18f841e4522a66ce42f50dbad61" id="r_a6f4cd18f841e4522a66ce42f50dbad61"><td class="memItemLeft" align="right" valign="top"><a id="a6f4cd18f841e4522a66ce42f50dbad61" name="a6f4cd18f841e4522a66ce42f50dbad61"></a>
-virtual status_t&#160;</td><td class="memItemRight" valign="bottom"><b>getStatus</b> () const =0</td></tr>
-<tr class="separator:a6f4cd18f841e4522a66ce42f50dbad61"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:acfad4f5338e97e053deca515ee2ec01f" id="r_acfad4f5338e97e053deca515ee2ec01f"><td class="memItemLeft" align="right" valign="top"><a id="acfad4f5338e97e053deca515ee2ec01f" name="acfad4f5338e97e053deca515ee2ec01f"></a>
-virtual float&#160;</td><td class="memItemRight" valign="bottom"><b>score</b> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y)=0</td></tr>
-<tr class="separator:acfad4f5338e97e053deca515ee2ec01f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab4c8e4421870ba12305e7c8748ab3138" id="r_ab4c8e4421870ba12305e7c8748ab3138"><td class="memItemLeft" align="right" valign="top"><a id="ab4c8e4421870ba12305e7c8748ab3138" name="ab4c8e4421870ba12305e7c8748ab3138"></a>
-virtual float&#160;</td><td class="memItemRight" valign="bottom"><b>score</b> (torch::Tensor &amp;X, torch::Tensor &amp;y)=0</td></tr>
-<tr class="separator:ab4c8e4421870ba12305e7c8748ab3138"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9368faebff261f9628427c3932353f00" id="r_a9368faebff261f9628427c3932353f00"><td class="memItemLeft" align="right" valign="top"><a id="a9368faebff261f9628427c3932353f00" name="a9368faebff261f9628427c3932353f00"></a>
-virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getNumberOfNodes</b> () const =0</td></tr>
-<tr class="separator:a9368faebff261f9628427c3932353f00"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a0280c78d7cc7f0ea0d1df0097b9184" id="r_a2a0280c78d7cc7f0ea0d1df0097b9184"><td class="memItemLeft" align="right" valign="top"><a id="a2a0280c78d7cc7f0ea0d1df0097b9184" name="a2a0280c78d7cc7f0ea0d1df0097b9184"></a>
-virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getNumberOfEdges</b> () const =0</td></tr>
-<tr class="separator:a2a0280c78d7cc7f0ea0d1df0097b9184"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ace894eb18b2cd5de944f76f018e2eaa1" id="r_ace894eb18b2cd5de944f76f018e2eaa1"><td class="memItemLeft" align="right" valign="top"><a id="ace894eb18b2cd5de944f76f018e2eaa1" name="ace894eb18b2cd5de944f76f018e2eaa1"></a>
-virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getNumberOfStates</b> () const =0</td></tr>
-<tr class="separator:ace894eb18b2cd5de944f76f018e2eaa1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abafcb76bd7b1ea1604a3dc93f5d71fa3" id="r_abafcb76bd7b1ea1604a3dc93f5d71fa3"><td class="memItemLeft" align="right" valign="top"><a id="abafcb76bd7b1ea1604a3dc93f5d71fa3" name="abafcb76bd7b1ea1604a3dc93f5d71fa3"></a>
-virtual int&#160;</td><td class="memItemRight" valign="bottom"><b>getClassNumStates</b> () const =0</td></tr>
-<tr class="separator:abafcb76bd7b1ea1604a3dc93f5d71fa3"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9bbd90a23b7c7816d7588038b51f1ab1" id="r_a9bbd90a23b7c7816d7588038b51f1ab1"><td class="memItemLeft" align="right" valign="top"><a id="a9bbd90a23b7c7816d7588038b51f1ab1" name="a9bbd90a23b7c7816d7588038b51f1ab1"></a>
-virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>show</b> () const =0</td></tr>
-<tr class="separator:a9bbd90a23b7c7816d7588038b51f1ab1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a16a59775f8654aed7aeeba7a1ee401ae" id="r_a16a59775f8654aed7aeeba7a1ee401ae"><td class="memItemLeft" align="right" valign="top"><a id="a16a59775f8654aed7aeeba7a1ee401ae" name="a16a59775f8654aed7aeeba7a1ee401ae"></a>
-virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>graph</b> (const std::string &amp;title=&quot;&quot;) const =0</td></tr>
-<tr class="separator:a16a59775f8654aed7aeeba7a1ee401ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6a9ab2cff3efdef958a7e54bb52be562" id="r_a6a9ab2cff3efdef958a7e54bb52be562"><td class="memItemLeft" align="right" valign="top"><a id="a6a9ab2cff3efdef958a7e54bb52be562" name="a6a9ab2cff3efdef958a7e54bb52be562"></a>
-virtual std::string&#160;</td><td class="memItemRight" valign="bottom"><b>getVersion</b> ()=0</td></tr>
-<tr class="separator:a6a9ab2cff3efdef958a7e54bb52be562"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4d9413bf2ee21aa4da43ae40e10cf532" id="r_a4d9413bf2ee21aa4da43ae40e10cf532"><td class="memItemLeft" align="right" valign="top"><a id="a4d9413bf2ee21aa4da43ae40e10cf532" name="a4d9413bf2ee21aa4da43ae40e10cf532"></a>
-virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>topological_order</b> ()=0</td></tr>
-<tr class="separator:a4d9413bf2ee21aa4da43ae40e10cf532"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a918abe3abd2243fb37d87cdd768decf5" id="r_a918abe3abd2243fb37d87cdd768decf5"><td class="memItemLeft" align="right" valign="top"><a id="a918abe3abd2243fb37d87cdd768decf5" name="a918abe3abd2243fb37d87cdd768decf5"></a>
-virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>getNotes</b> () const =0</td></tr>
-<tr class="separator:a918abe3abd2243fb37d87cdd768decf5"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad92d4c2d3d317093182c3bd47cc69a66" id="r_ad92d4c2d3d317093182c3bd47cc69a66"><td class="memItemLeft" align="right" valign="top"><a id="ad92d4c2d3d317093182c3bd47cc69a66" name="ad92d4c2d3d317093182c3bd47cc69a66"></a>
-virtual std::string&#160;</td><td class="memItemRight" valign="bottom"><b>dump_cpt</b> () const =0</td></tr>
-<tr class="separator:ad92d4c2d3d317093182c3bd47cc69a66"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2339f26202a1c32f0747cd16fa81b081" id="r_a2339f26202a1c32f0747cd16fa81b081"><td class="memItemLeft" align="right" valign="top"><a id="a2339f26202a1c32f0747cd16fa81b081" name="a2339f26202a1c32f0747cd16fa81b081"></a>
-virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>setHyperparameters</b> (const nlohmann::json &amp;hyperparameters)=0</td></tr>
-<tr class="separator:a2339f26202a1c32f0747cd16fa81b081"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:ab244ac8e57aeaa72369688f484bffc9e" id="r_ab244ac8e57aeaa72369688f484bffc9e"><td class="memItemLeft" align="right" valign="top"><a id="ab244ac8e57aeaa72369688f484bffc9e" name="ab244ac8e57aeaa72369688f484bffc9e"></a>
-virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>trainModel</b> (const torch::Tensor &amp;weights)=0</td></tr>
-<tr class="separator:ab244ac8e57aeaa72369688f484bffc9e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
-Protected Attributes</h2></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_base_classifier_8h_source.html#l00013">13</a> of file <a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a>.</p>
-</div><h2 class="groupheader">Member Function Documentation</h2>
-<a id="ac4e33e5450cbd7ffe7b8ba5608106722" name="ac4e33e5450cbd7ffe7b8ba5608106722"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ac4e33e5450cbd7ffe7b8ba5608106722">&#9670;&#160;</a></span>getValidHyperparameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; &amp; bayesnet::BaseClassifier::getValidHyperparameters </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_base_classifier_8h_source.html#l00040">40</a> of file <a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Data Documentation</h2>
-<a id="ae2d94700f470b5f4a623965b1c442c6a" name="ae2d94700f470b5f4a623965b1c442c6a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae2d94700f470b5f4a623965b1c442c6a">&#9670;&#160;</a></span>validHyperparameters</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt;std::string&gt; bayesnet::BaseClassifier::validHyperparameters</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_base_classifier_8h_source.html#l00043">43</a> of file <a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following file:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/<a class="el" href="_base_classifier_8h_source.html">BaseClassifier.h</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map
deleted file mode 100644
index 4ee5c66..0000000
--- a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.map
+++ /dev/null
@@ -1,33 +0,0 @@
-<map id="bayesnet::BaseClassifier" name="bayesnet::BaseClassifier">
-<area shape="rect" id="Node000001" title=" " alt="" coords="5,252,173,278"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,252,358,278"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
-<area shape="rect" id="Node000010" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
-<area shape="poly" id="edge9_Node000002_Node000010" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
-<area shape="rect" id="Node000012" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
-<area shape="poly" id="edge11_Node000002_Node000012" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
-<area shape="rect" id="Node000014" href="$classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
-<area shape="poly" id="edge13_Node000002_Node000014" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
-<area shape="rect" id="Node000015" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
-<area shape="poly" id="edge14_Node000002_Node000015" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
-<area shape="poly" id="edge5_Node000003_Node000006" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
-<area shape="rect" id="Node000007" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
-<area shape="poly" id="edge6_Node000003_Node000007" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
-<area shape="rect" id="Node000008" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
-<area shape="poly" id="edge7_Node000007_Node000008" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
-<area shape="rect" id="Node000009" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
-<area shape="poly" id="edge8_Node000007_Node000009" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
-<area shape="rect" id="Node000011" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
-<area shape="poly" id="edge10_Node000010_Node000011" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
-<area shape="rect" id="Node000013" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
-<area shape="poly" id="edge12_Node000012_Node000013" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
-<area shape="rect" id="Node000016" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
-<area shape="poly" id="edge15_Node000015_Node000016" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5
deleted file mode 100644
index 0904b24..0000000
--- a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-db5ef66c6a031328c592dde37edf565d
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.png b/docs/manual/classbayesnet_1_1_base_classifier__inherit__graph.png
deleted file mode 100644
index 06c4ed899875d509921ee1faac49141a7a9dfc4d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 43173
zcmc$`1yoh<x-UFwln?|3X#we0LE0b$=@w}PmF{k&K}0}88j&vP1}SOjZUH3}L|X7Z
z3-{jN`R+OQoO|vVcU<=v`_I7TTywthyuW&8u#$o_!Fh`F2!asE+?P;65R4K8LG#4L
zhTo{6ClSMcu#Fx_OCWzx|4XgUib4=NL`LF{nsegDjGLCa@vOksk9xyyR^{odiw{f4
zC`pr~=1A>^tuePhNBjKD&GCK~B^bf06d_9Sd~E8SaZZww+VG8=Lu22R1(sV1?J1;(
z%gh;7)n4$TVa0?~?aemsU$AFB|A@!H=D@SiOm|6W=D2p$ME-ZxSPj{2iT~u!a20C-
z1`#naaXBedR8DCS=JO=KwPcmGx5NxmPt211vaeZ>3L)_K$`7v6-;vEJ&|XcgVWuZR
zGanMdQGU=w|0XCXDBFjCR!nCdS1qvN_s<6f3`FHDLVvFc|8RsfREz%Xk13y4>qYnt
zTr8^j>>t9vO~Aig^7sCRpA-jOJNsZdlV8#JRrt~LU0<T0-@A8=91lN8tg|HCvRTA@
z9TmlE+(n8{&NE-QTU}j!%k~Sdh=>S}K@(C{TZ@6{c^(?a^_m<zCJ8%9DJc>8`uehM
z{+To@x+*T-*wwEfCnqsgVX?mTEGWCMnECAXBaaSOQ%Ve5unQjlHbp~2<B69mpS3#t
zxvW)Ugf;7VyjeS1pjS_!TkF{N(I1c3aYO6Z<`mh)#026E_x9w;lctG@E3&NaC%a>~
zgoN$W)pmxZ6B`!q-o2aOT4>>U+v_AxZ~F&F?(8{-sorH~O2)}C<>X-C5C%m=L<9xt
z)Vr#m$HU8;<`NgzH|Kv8K2@KYntD55V_mnqKqF75&begrgyV83DJki2RWBj6P|(1$
zeD#XOMWgLszoHKgoNb((V%NutrpDrXO>7(;-_*P9PgZV@6{Xbu>|&><H{v0GGE?Ia
zGbwEU_0?B<p@|R1p&s!mDJhKCu8pv1s>?A&p>FEg$&Tc(%0C8$xKxWHC^*<BBH}__
zUES8Os$yDpHZJliAt7Y8-mPVBj#f-e%z43|3_%ta7UBf$Ofvc1Jv_F*Wu>4aFKI+W
z#5|5tA9uXuA;;G$Ht?xmwHZj4{5p_<^ZVpvAV-y%>XtQfyRD!%IXT&Rf5vHHbCbZY
z**ooC;NoPt8R68%T%$ObZp{nkWM_0%R#wD2^Fb{Aty|;CKl)sd@sh_l_}Cbix%I*{
z3bZFmF`6P7r018H{Xc(JLcHI;rM!Fh?yEO%G&Wt}Tj-AVe?(jmJ4oHrNB_I}9@vYE
zmLQBwOj190c9xrbFb3=0oF2kW1_g=y{KW9VxchR+ggGoUhJr_xZy2OseyXsTdI!_5
zqM^Y=PoI;Mv-s^BtAOS7D;V?8qM{-WohqdslhQ<SFFn^^U$4r@$k-nJdcOVh=j)Fj
z@3OM9M>U@A7F{GIWu&LiQcSswz%IBdDJl6nIhhLv@q^8hRG>x3^bCpF4T|Mnfw_D~
zJqgBJx3n&E>9Ek#UpMJ_H9tRZ+OMjt9C>hf*x41sF8OXPS&KNbs_NGE?rwSiG5q#m
zd&zivu`TAk#Z<+}f$&8`MGobAj}<vk+l@iM>(reb9~=J)A0`R2!i#}tFM3T{R(jvU
zU;5P5i6ja+oaf@=`t<2jQ<cq<L5bFeXw+1tRmY2SB=c))A@JmB`T6)eE4_X}O$I!4
ze0&#$9XGs#n#}nh@2-t}>hG7nd-tPm{o4m`I7%+OgH`$>EDS%;LgN}EBc_dw%}C!<
zW8>y0e1>boIf%DR6chY>m6>_9uww7WT*TbzUgg)(0?PODZ&$WNurV>4Iy-X)Km7jf
z{=~#YBf-|rj=JKW#N^`FR@D9p*XnplJ&+-N;n>~4fUd%F=6sSuAl%?W{r;?<Le{-T
z&yx+TguFcVWY44L=5r0y&CSi@)ppFNPa>asdL)#UiI4U+AAPes`t{9Euin-0<Y-r`
z!u-m`ix-KAh`c33FE4a5r<7TZHF&rkH_l8?D`{w~6!#vZ>O&AN_5~Vzq<F%7FI`kj
zj0UkjIdbTUzm8Mu^rJmpGIVRBwEr&aa`B96mV)7YlTXYW`M3N8B_$>MF;PKfe`{Vg
zad&U8q>GE-FIQ1y9#-<#$#Qnoe!;@KOeZQz?c?KvAmZZU$DXS1<?cvGU^2<YAp!yd
z__ShFw<U=u3w4E`7#mN7HcU_JK%IlyKpY{uN6sXl@B(HMHnid1#>C!JMYP*l$IDV;
z)rV9C8T>z_Wo6H!w#%na_m5$HzcE~D4~N<lIASWPr9}?))B5KZ8D}@QxzgUjK^61a
zx-0#n`_mrA^y%$>l_VsvPHq}q4#oOWw?l}`!%{=-K-5?6toFBbcjKL&o+92*aOtmK
zAJWqzq~ymhEG!HP4Q=_-8MWEAnys9nq@?5xgK<aVRZNV3aWRki#0M<tmsHJgEt}=8
zOYqeU931(B?9X$TvgMJ_>$`hssmT0%v){qNQbb<jT%(tGUy69d__)@ujfo*K*gXr!
zKN>r>mpZoly-rEyJoc&IaOsA8_`vt&%NIIk=Bz=BCM+zhPo15293A-^4p%7gsf9>q
zXJ_NCKUK)wKph-*D?PfZ&!0apXoM08f6`5sJ+U3vMho7)@b?df!VHx%Uc}`?bWDtl
zi%T^=CBIx<eSN0e{`ZSluCT(aF0QY$!zn;d|N7M{I^;_Styli=cUZ=)EiLzI?7z{w
z*6Y1jOySDR%rq*|dh+Sj)xlhK_A5LF-l$!itDYzECDtcNR#tXnQ$k8g*4@3Xg<nzv
zb|tf=rRC27Y1-hRPrna$mKOqPD=O`d-PP2h!>(L^-?cN4r^y{08X6@q>wFKHzPY<T
zrYOON?O5Y+c<+KJW2s5+>%_!F+0DblL-h$lM9}`LQg|aX;l|nVBhjm35js9){Pbxz
zRMhX<p0HYEf0*}nc9t|=cU<m@;WKItVw<YH`Eko1kBp78a>Cpemd4@Ul$F`Z_ldPh
z(i~?ma~Btvf=M$rIL~i#h><*iD-UDZ!|v`{o~d;zx-nPsSeo?m<wcnNvm?}Xy?|{W
zb;+b?m9I0k`yR&mh4RR=sftaHav2GG=6_tG2Nt&B_vvbwBEt4?$}9&e`gEbTWE6Zz
zH(}!8A^P_1n|22seJ<HX@V}6PB&x!p*5?%tqhJ6O07p9Kub*KGf{j30&+P3AdT*6o
z@_?Z1U_;`wTfJ>BG=oJvksKTA)Niq4o}4T`A>`OyB07Fk!s|w_>ZQ47-a+;$s1Frf
zCn_iXT}uPkS7snKBh?S3Q(=|EAi}-#9-Uts>qh~e>VBbnaF90g7sXJ7h;q0-qG=B%
z93Xmuu%K@R<Bk>)w9TbOKTC=X%I5uh1MhsEW&A=X!Z4ul-a~g!!(<&Rd_2ZX98yV0
zLagq0_CU%QE}jup(@M@=*sU!7#E31XR#v`NsY#enk%Jh0`g?B-Vbnv9lxk%hOk$RX
zTsp;UO2rtI;3)}ZcVv30bh%&$hUD7camr=pbu+GF=|S7V^ma$`Bm&=+XAC#qd?_U{
z{G{YB1S0geA`$2xb;dq#hxwJENkFLix@OVRkRrWW{OBQ|G@-xG=Rh~fvPrs?NDzn7
zr0N}k6<5KfMm-`#Nvv%5aVi)!{GR?_X9furoG&+-BeJ9_sax1qSD5H?Y5z{n_ZGPf
z%%FL3Nke*XFTAaaJiOO)v}qw_eQ+y@+m1%4nbwXgk@n0`)iS`KPu=21loc)*b?2hx
z>a3efNN}Q^fys1=pu@W~m)TEAn*N||WgyoJ^;_O6(nqVGedgR>z=@N-C!-j>Bw0dF
zajDIWG*pwGe)BKF%)Kj@`>S|j>-7h^^XJ7&oUhTFQvHRdGbTrR-wH8KRWX%w)1AXj
zwq+%To&Wx$kG-19U$@vunJ{iKoF6LEZ@YZC2#zDXvoA9pNDm)W@IFM6F<up5UN6+^
z=-|)`4x(UgI2&H=cUu;NT|*@O==U)Vu!@Ig0-Q7ga#Sp$h>0T^&PFC%Qbvw+#$TEj
z?YtGTg;qS+d9JAF$gd{XfuEkfM&NAphm9nz7{5b*gZ`Dlx4iFsaNgY!$pSlAnZ4Wb
zs6Ar3XYxJ9ry?YIjQITc(~`x=Xx=rqvkz>RppbRC3A<y&!G!%mBR?ILua&(J{zK~Y
zh5;cmV&WO`zu&MSCx7Vz8RcTZd2aMu7n)mdri~M3O5_1PWX14q)JRbzSnL31@M}~E
zQ`xTL48tc}Aifk6k|Vnnz*2=c=Y-<TKA=kD(3T$hX7B3Pj96J&6=W!he(LUSS?-SA
z)n27DJ$E+N%B4gW(SO4GOQ@O<;`~d^Ua*&3v{!4A0t0a-E3Jwg@N;q6+S;nz4?m3Z
z25Dpdy}@^)JMs2|>)S%!tVVvFCQGUE5)!>v{?5T`BXJU^Jeq!t18zk89*@oDv)$m)
zYN!XEe;=QTSxCM8Ar?F0%-;Og(sxV~rr>ONP9C4t1^IUT43Tt_d~btd6)ha*x<nBb
z-9gmo+@$*Z<zM9mWFBRyaA0q7c>BpNcrgcNGia~Ezy|ys3X1ZtYF7eP>Mk@<-`0us
zGBP$w|L{C1Pb^8$4jV9`)`us-qsljI7F*9TGBZE!ie@DT)}p)4t=|xKLHswWy0LI@
zNC2#9kD!eJL_1mOa=098$p3b8=iiW-^4))u8LHsmU?`#%)YO-VM=m9eqM@o^E}vcH
z@1kcJ?u5-;2ve5rLD4z&?ze7ec!>C)-`Dxg$5S1`^f~G15a4^G$DH~NRO}l0O;c8l
z9%D5_S&EN8r`{Q_abO49#N)801_<LtK)~XNrhd6qY;-gV*WD5pzQ^ic)Obn(&?-*Y
ziOak~-}8lvii-8YmSJ4)N-Yy{bt48dEJ*tFHw=5%Z6YSvg9oHo!}+@g;zarGugf_s
z<P|jt+3jsS%nANqbD+sO-8*-Dv<gOR-#jYNsCM2qDnEY6aha8cCEMmLwU9kg#(-9y
zIV=$r7~kIBUi|)@Yph7WsLT@{;UX0k$F*zMV%}KI)Tkq$PEU>{C0Y%5KGis^vsu`E
z{d{%cn>`BWAM*j!l983oRd3Ht6m`>RI9kiQuKg#GxE%AWcBV@)pcc*UK`hJfE4M$E
zn~}#+y(ctHdVmLLh?kdlYkS)#HkK^eb&Zwu(j_!RMOAg6*2(JN__(E`1BbhA3mu^o
z5uv*Nv@d@+ps0vj?Btg!(ggT*AWM<feq)>%+Yb%zGDq<~KbLkHuBhuT@5V-PA&0dW
zFfK@TRr$ow5Xp~*V=e$5hCJjvaFpxRI`$gAJvrX*fb)B+l|+&5+BGbs*#4UeCJxTj
z&Wzv%1O?8U4Vo6)LI(hFxH%%X+z)sNX+(kq=G;jD=f~`Y1_d<%wu($l)Y%lI{x=+H
zMIV#+rjR=miWlD?tCjwpFO>g+j<iYI)xXi5Jl(duFEg_{mKzqp#)dgCUjtahu&&Qt
z=G1<1xU;$h3q=wzE0<nf5U@nl8ixxtZA_GIpC13XS2V`J$w>fHMt<D{KO`iC2dH#U
zq96%(!vQ@|F<$orYx{45Sg@{~SCgEqVSxape++EZdAp5ld%y7y^%>#@Zb(bUrPI_I
z#f&23zc;PCT4?_qbeK+wIBt*w35|UH+V|BfBIGvgCHorvBc<<&INlEHqbLGmZDZ3M
zr6?90PAOnCS@s-ZOOA1{vAF}hAy?!njC$)rOCU9rPzEUjAUrW|HfQT8tE*$Yrh&H-
z)6nSoS%m~qP`IJ6#{KL4KZs+WWz?CDEZ`tX5?jYN)7IkO=rzsq{Wtj*kX3ACyum{l
z1@<*HH8&>9@r;d);{>c|Brsu#L`FuU5Vr)TN$Hh5%_1pJPch&t8y3?ao^)Pxc6K&s
z@<ziwfBvqNR6q-V9{iPWRaKSgYUzg$27K|TeT+1{lZk?#UqwY>AXTorY(TPcGSy->
z=c;Tn26qb8&*9>FM@6Y-8Utzsnv{QI=Hc)~<)!8`^flNTCd!wu708GrrEaC@Y8x6a
z;u;SKX+9nRp!e(RK#LeHIe8F}<-1u!hGT`g&Ohq+Q-{8NF47lwQ(gfEnU&&60fbW8
z+M37l`*bjT5*^{YeqC8j?L~vfvBps%N-WSU($i}66n(?_DB#5lO!#8}ih=XbPUg+2
za;v%7Q!8LWfW-yPcRbC<i_z$PoBePw5Oe;w_0IsTOZO*>+I$<l79AbkG%~VVc+z;V
zhzEqXb>S(B-oni0mzl$a2Ze{%7xhRCZ~Z-m{1Pl*SJd#;<zm_)8~&HBnzd)|Xs?=@
z1MO7S(<7|cyMWw+MOEXt8ImC#Vbtu4bzf0Y8rBuk)ZgFVFjp`Y!u%f+G&epwJ3FY|
zHrtDmB75VH<8C~^`19w_S5QPJN}n>^xG_BYeY5gp*7fD6^4om|*u<e^+)_`Tyz_wd
z-dzluKx;<_sv286IJ6z@uJf9W=F1+R{u)xe<@B9u79h3h6gMYl8}NngX}kUzO))?*
z&ceKa3U9{2Ikc)1Kq5<YwJGdonkfg~crKLAx}82@#CxeD0%RF#)cpXXy1>oN4b=(*
zLCs4~kDQyKp!qmYRZR^&7Z+g^vtk8VN`_SU-8*;C_$?+eiSKA=T>kj+V=<IYDnVOJ
zxK>9DyXO4nW_WRNvD@q$w<3PD+eKqjINs>qemEBvmm<UqZ9V^-p4{>}6)}4Jc%byD
z;xSZ8{~wKiXgVTj11l>978e(ZXlWxjA62B5m60N^A|rjawyb}j?l%?<yXgRLOiZMD
z^7QG_TdRiV&uRBSDGC>~TTv5w2@E(9ek%N?aeT&YhCjBxlZ|+mu@TN6!a2!8nLNRa
zU2y$o*<^!J)}u<xi<d7mf!vZl^zF&dFP$hYXL)&<51w{=Z|}|bnc4?1_^s{jAt30$
z*M$b%zkAmgc}45>yF{h-Ex*OZ3l}bY8_W#-y6YM*=1~*<=1oYOQRLNo0r&GX3ZB3Q
zTwGmch955yN5VOZ=Pg@Q7919aQs+S23F>((pg27}{Uswp3_bv*vb*JixVhEp-eGn&
z%a!XUaxtqJumLWTk-^Ey|5hG$0n_*I-xt4pVYHYmBd*uuR#sNFU1}#d7Q^<tgN$bd
z(zxC?=}ovMC@2^+xwo^ES2nXb1oD~bFOT4@OTuRZ(t9^uCNU%Y=jyWzoe2J}oH#WX
zopm|w9C>25TBzUEaA?Fx4sHH>`p3@3_WIW^`)ccjyP3;yHwwujtaF~n76o&nk96PC
zU-}Wj$<1A)?sn6#MC%KXtXD087v^^Rv^W7Po8J0+e5|$g^k;f$uxhZTihCP>=db&~
zC%1jtqYX7!HKrRB6TRmRun+<Av_c^-F=`7jO(CfNk4d5nw}OJgL9dmkDz^oR@>2U5
z@?2Bfc)Dom&~C<0xw1w|IBx#6*0JnJd0mGSwMtj|l0so|7))2$Xm?x%&iEH+_qA@s
zENJ*YL9mH?v`Ku+m1N8MMpQ7dvFSxcb=S!yBz8m22-t~fNlI|7dW1iE>%Hde{J3%^
zIb*XVI5!h$&%ofXyq;<Hs~Y}{NV4q0#22D+*>%u&hu!}|&Et#5{$(Xv#jWpoRJ~_D
z8;&L@ug#r7#g*{0%a3UH=$$Loj(kV@OZKXfe9&Z}!~6H3r!fc!Xs(m1T>v$4lsHKH
zuQ;yuxc{`$IYwxqD4ht;Uoo+3D@%Pztzon}0sU>S2GH0*P=1d2(5%%(tOr*7anx9A
zzW&U$@=oxz1sT2^Q+6FeG4va)@4ANQooR0eU+ht!DcF0Kl*1Y_%Q-V2W`OI9hKaF-
zW{u@rITof-^qeXpD0|>9Dkc;yRm4BCt;6#VMqWQKKj?nX;~>ATBQH73^_+lAB-cAK
zJI*tU)bjS06Yi;{>aF?TbPd`!Z<mn4C9wb2*z$B0<1#`mPIP9L*1~hjDbJH~O7P~G
zEDJ<=zf`2}R%Tb(9gur_pl_5`&)@FCRZoAeM4!&|cOGVzM?bZ!t&|oK_2`l07CuYL
z<2^seq+l_b+K4N~X7CP)K(qFzQ}y;ZKR(tK;z1jxj-~w+2p!?yufC?7(#>LgkI!3!
z-q~^US-I-ET)6zO*teWgqjw0yRq}I9cum(>+zY%tgs8*vPE$XW^~p#KQ=QEsJ#rhh
zz@Gb$#mu{~n6G|nX^d-lBy{T=kD7O+tl<rBE+mB1TFKi()=>W^3zff0x`PIN`pV0*
z3BKCJ!a!Pl*&7G5zu-!N*nm*fo6{$+ab#tAzgDbj)1nz*SyKt5m@ON?s+lxE@sD9&
zd4b?ORo07Wtr+9%Lal|=nWqId`PgI)^3&Rt?LVS($zREM8zPB_JDve8=_%K>1KUlK
zwVHNi&>uw37G<x}hT%Xg=|{Vk`wrDL7Vm$&X;4rY$4w1X2~s3f&ZFQ-e{af1PC|Mb
z==Ttg39&wH96CVhHBalq{9Wgrh_2YJ+9d=Br`Ph}_G4(#HyJ*qq<MJhecv<E^5$t?
za@Ato$#bvp{EJApo|e!#^pZR1ttU!Id?7zWLkaO;`;BqU4=B*7Nt5+Sa%bzyErCsc
ze^*S?l!53~I}%uVUQElM%q$S+J#Llm+CF~k$Lo)L#cs;?_Oj+-0#zdvHFV0?e=<jj
zC~1d~pxbMBlaO}B5MaEP&ij!b_A?B97VA~!kYU%F@><-e%esm@_Tw5)0)4NGX<au6
zWF;gT&!ebdx(Q=D%ev&%i|C>VOA~#Q3z`C(K^RN^uVQ*b<2bevdVLtCv5}yLU?!VB
zu6vDB$!7I8$yEbz30VyEgXtVp<7za>Qlx?1W2B&jCR3*Ly{;&F=aoHUmF>AB8l>(L
zk2&nwB6%UYE*9cZcSeNVTKt%qDTK?7$CF)!muSde1s~%xg|FPBHUqi5uHE}~H{veA
zh<ltBp#-0&Vo?f0{toE4-y4Qxv%E)T)50%L7>P&W6!gLVyoE?mW{xE&In*#6&x(-`
zVcp@eBy4}jhW+>`v@M`tRVvSJH$EjOh=S~F*5#9e2EAUEqgUO_^;Elmu9az=$D{H$
zlX2Klby|AcMhp-8D|G6~yGW)1F{Lk>+QZg9g_yl%e*Dr4?N9Cq92)byzb0!qM?u&Q
zYcTz6<(n?1i+6Z61w<-+R<8_K%XhoI8n#PxuHXkf&mP|M$K~_#%0Xxberiuhe0&ML
zkXM+9s%qOkZgO`sp7*xR3`)hhA<c0Ws5zytA;ED(X%ipM7GvKnTQj;WQ&ug@y+Jl&
zk$T6n$%p#!>0+_UT>-lY{_U9Rp7YMq-W_Q8n5h`nRK9<FKK_Yj-Iya!@7aw3qbz~{
z?-LL2xV2_#EwFh1!BStIQO`tlkm%d5-rJ9>YXr<tw&x@seIhA;pq;0oh3)@LP2}w(
zkN#o;LD|3?nbuA3x8}^GbG*i+;qFX5&k&O`iF*E44RR{md=9}R!ZnBg`kD_I;$WuS
zY~8F<c3bAn+#)6wnqAv=D0UGfeFK#G!TNPj#cwM9ozPU4j4;eC+VfR6X>8)r8&uBM
zrWP{`swG(jQ7ufh_70I01>Hr*<i9U@XEO-tQ^G|%Gfqvz&!qL6yaQ6tvq&3AZr>@!
zYqHF;jnfEMZ6ionvb%!bjE(C$+wnc~JAc{3EAM63Mabbx%}`&O-3OLkeQGpCzQfCv
z@2|@&@-WP2bGH&SuE<*S^<Ampnvwn7l}XyiWz4^-aV_16U9~``t1Tx6OTo2zDPAj+
zPF4bG!p?N-`PQmAleDuV6-G{6*sDBTUshITEStjxMsK^c1eeI^!4mf~FoFf=H(Mnn
z)SgDG`048CB=7zDH7q1sx}w|GSoZmfB;i=>gniZ3K9&lhwAPg{N`7XCmbG`XmRx3=
z8)Ep^2uLe@ZV3vCF08DK4$aKyuCojWk&=;t2|*c;K&2i*L(QvNmWZe*F%eO!1HLJ`
ztzGwak=OI2^zSZiZW$oDYj>ndeF1OvQ&-oZ5Vmru^5*CLGn51Sl;E%A2NU{VdCb=K
zMyTazdsd9QwlFbg&F+l|Yp-4f6{iISD{k1V^jtyND4nmbX-hv>DyrY30B)M66B`#7
z1U?|Yb$S<-2RC4~Huj=A-!XkJYLM#*k~!VqmYL2_qzM_=K4(o<@(#syM1S^L()>X^
zwx!^|eCwdEC;!X>{L{mZ<<@Tp2o(f)3p8_jkhxK)`covs=2YG9pWR>|?;Z9f2{W*;
z;NH1&CuTCY(}9ePED$hbs$z=Re$VN42W?AR8<wKzuA2OX*q}8cD`r^Q^1pxY^p6)C
z`i=5>mV0|6adPh|tWtm&15|4<=byV7d|#BQ;EMFz17&66H{AL!2L}hSyQAV*Y5*mQ
zm=-a*xzf`L{T3fskU_YRgkM&CoVyfN#{WN8JW0%h!VjC^<7mMnVle%3RI@$;gt>8p
zw5Z`I*Q547F~_GyzSKMdcOCqF)r<`sLaHVpb7mer5^4hDC_f>g)^U?U0u!Kbwb={^
zhXY`Hv1FQ#m>3#fg+-D!q+V!i&QA#}Z2&MY+kUBbL6zr;Ym8{RdbtbuNx&0F*ru-c
zi};O?kGolF>b`NKzUR<Eh=6PZsDCec7;G*rj?2KEr^^d6eq_E+acVT7xYmR%*Nbfu
zlv=OCf|IIwX*Yldp+ijf9}he$FEg8m<vLzrL3#Q!ws9W(#(OYwG|uyA$4Btw>A*0?
z>)ix&bl6Vyh^eW=L4c4;yhV%>Gd4;(5G0C8{^PH2Lz~C%v$9aUj-2laE|WsyGkv|G
z^}a~(@<HqPlgl6Ub<FIeS0f`FhkZsRbWBXxz*)9_{`{z_DC(b{4xq%;l+AVjJAs#%
z*TKQTyg!*9g1iU}e7w>VA2YeNyW0k2`#f^X^%o1u;e1Ig{Lz5N0C?+O@*6NW)1)J4
zw)Xd>vlNo7=bO-wOO+0;uC9wSPILZ1#lTb#Afyg48!HqvFZKF!T4n$3VzTq%IfybK
z2+CiZpEq!85MKSUtoJZi7+YGfKT!|^^a>8$8q$V_2Jrfwzh%a5{p{vOxq>iz%{%?#
z`WZi#9bfkCo}fhgmuF&NXBirE>Xt9EX;nBn=hPCe1-ry?V;l_<0BxaU8R~f&dm9K!
zPoxrYCbDWcd|&Tf4+k+iP)aFVTifzgdvI63LPS99VBRmmi+I1-Y>eyR=qMe`Z*mc5
z9xgECp8`|ZJhL}$*d6{fX32b&loSs7rCdB878upd;MekiOj8GnA4;Qw??owhsJ{gY
z9VhC>KkN0!1IQkf*|e%E^2hCAcVNETUs8w0Uw^vTMy4+TDonry+LsVhpu2U89OaGn
zC5z%YIXQ7Ws=!BSTBpEaF_1$2#+RViEkSnVmdj5@)D;>}HmwepX#Z$gyag)m2f`re
zr$iSoq9eHY`1!*R99Bh;jWgk?I_Ayc@iBvl$h6@b*dm&4`1?Y8uy)=5ob02n2KJrb
z^P%^KKyy&Kz)M>3m&zGZ3o)8{HV5@R2{*fw#|BnM-dA>`GfQN3=^M1DmC!4(j$5xs
zY}o$zsD4gL@<&X<48|nFrQK+^sU5ocXzgaP<&2PAlF%iP3Q_V)31|^=;A7uzEBye!
z`U)az%&Iv|0LY5PEjvO+t+-$qR}X%0({&oDwpqfaXJ9A+<|uN!Q9533Mh1>(0EmIY
z(-A>y7f?{~zAD(pfz1ZRb4O2aP(W6u*k#8AN;w@j_XSv&zM-Lbe0+R7meaRjhr;lq
zAr)40FVB%Mfv|H43d7xp53hjifkW)mY;gO@6Gqg^A@-RtZ(ke9i%dz00QJa?vJx^w
zm^3srps^z$W`nA*P~4mQ;>8O(F0R5!7X+1BFflR7{MM&mnAf%VmE8384yc!Heiy`o
zY?j*5kkemT;%Oeodj~DFr%1hC1bF&_zx6CNr*>4RpK2MF8wz`K%3i(4<|&ZVd#_SZ
z>EK<7oMmp0b{>iM8z%y=GXI%)V6(*GkCy`{8cm7UJ1%1?%WAqx`J2mFE=XK|vknP5
zPU<ob9^3;he|zu&cN!Sw&MWaxiO9*F`%i+hPtPJbH-`R8vF(`q9r*6fN8hqaJdPbf
z4}QGbmxNOD5xVQwNx(Dz3L;!)|F@y63$D9s{$L!V#MS%v@87<C8$n69%qi}J4Z6pB
zo11?e?d<M7d>G%t|6{D|`Ox=?M-SC6OLr(mB~~W;*gF;;^#1{~`H6m3wC{+izd}~t
zo?Er9ZgOn&z#5hJ7+Rg!5DOYTE}8!oq~@*?w!g;6Ci{8ud;(?ek)wO-o!9j}ma889
zAmrSpfFlY+0uweiw$gUk_ky!rg{a$JE2!H_Dk|ujnq#$le-=Zzd7gYC3QVzC8)n6)
zx>Y>*0X1ehYdbU^zXr4`?@2fWqPW9zCIJC5sPCWG*}qeW{yW{Sa^D%O_lf;lhX>23
zY|F|@0I0nf*#}s45Fr6z@nL`Q%gPEIVoM;NqslhV^FhWh%ga|;S<jU|?U#D?EW3VY
z%F3l~7e6h7e_d7mAr-Y>Mq;IF0Tn@={c&mjhzECNUeV46A+-}^9tR1&9)8h4H7?it
z85)h6w`9V^4=#A*`!X`kaDCz{SDx!vm{0JTPgfCxfkA%b8Ig{zZi(l~k!)o#Mw6oW
z$qT#HzJ-Fy+1!ege;dnKu2o$hEwBL<OSZe=WbaWJId8hcBy;-Y5(=ZeyAs;w>ol9=
z+_nnwh?2)0gmMWt&aL*R1cFlmDmEG-?DSp2#N_=+?3!UqKr?JA2<gN@(&2>c2NaLA
z)KmoYF5e(Jc6K~NL&Nb8#&|EO1byLROOQR<+S`-T(i#`FlBv^ti=>XNZ~Dz4sN;JZ
zfQY8>1vOISX<uTsS<P6U85MO)z3r%!!`uUlz6ZKm)VZEoB)NJut_0K)fkedS7n{OD
zY=XPrwtQ;k+@u))UuQf}njeInP>N{x8_vCTs4y6iIy*S|;iaFmUj;V|GT5iSzIJdp
z`~VPqoSLG9ct?&s)y?YfU`9BP9f9Yvr2prL3`z+hadWJ`XE5lwqg#{!mFUx@dY|xl
z*n%;4W=P$yw47n&;E;27cbCW->Vy<SW`4e0S9iBDEY`)%O-=|o#6prLI6VB4zP^5E
zU*BcoNGLjJbmFH6k24(wEG8MD@(gA^ARAcU<?}eQXXWI)6xv3AF91Ih0&AV#Xc(>i
z{fh7-9BOBYFev{<R?K{SDvL`?)D^7sd{(m}Hg<MV5n@O8B_vk*Q@Ft)EUr%yUOoB!
z8}pLnxGqZTqcX9v$A4)%JF!x3Hiqd9D*9wYkzP?Om~)d0`>&IdIFWa$sq@LJnM`m<
zF@oc#(Q-vmAlR%&&xLK0MK~i|<+4Sz;*WaGmczBYqCRlIDx^B*E*AOxABd7^gExPD
zzIUNB|6wWEn^`JT`!(MsBodR7@^n%nBd@|e)j*&I@@g^3qHbNNV9@G&CO9zJ^*wgg
zGp=}t!6_VMnfq_G$;N{jwm1n1IPqIeN+AsctIxPKh*-TsQ%#K#>{8o>kN&dV7W{7$
zMO;)+8^KNZraI`8^pN~f(bLn*+xtFN|FT)RZ!-70TTWhoZ3_LKV~PI#w^woovuPCa
z<%u6f+06_Vp~2jU|K9SW5_7Lo@hR{JVfpZT?T=QYl3`c<GsY<qK74Yyq+D4^iEhq)
zCtL)c^k-$`Nr9et=-OBjrx9hwF{hE4-`MRTAQ9P?XNJ6~%7+ghc$~iLKtinJG?zU6
z&5JRFxZJ+i^o2N3kW+LFjL78VLI-^M-Yp8c^fxa>|Dz=A-}Du+askAMun^qOLO3_|
z!P#sFz1_@->nTb(a$tjlQ{VG2bCh>YBC_h^y_mac4+&BqS;?kJ=X_;9u?kj`Gyc33
zP<FSo*TFbl+G{m$%V|)^Vdf(7dbQoE_4jE(@aP#bqCc1>r4_PfenhKFcOW!vfMRrv
z94z!L|K*!3nQtb{D-_H6l*wLd{iYE#UjOMX{l$uMbgfmdVCM$ENmY&K!&xV7ULChb
zt(`;I&WNn~<o(w7s>SCJpTUKf9dX*<IJkrED`2!2I)SO}f>@OG-3gBf(isuD=K(ec
zC-seIuR=!!vt4-K_7dV0p9zo-CI?#!e~_&U1$MvL=-GrWokJF5=9j#5_fLoNh$H4c
z3u!ziJ&rf8T-)}NG%U=`E!AdCDmdB}_?b@gr*~>MUJ)-s{M0#j^a{ua!e^5yaMH<m
zA)35|@Vpl$kGM;j>pf5fCvt6a$(y`-<YFxN4WiJ69uRm|DtSvHk1-?wi<<;xpi*#X
zK{E`VnVAQHD&&QvcSm1*@Gi(1xw=M~Ws4a^(EV-^&FF2$reta<S{4b3e<PGQ<$`T-
z8qif1dr@jJ^&py7zOPT`RW|u`Ir(1rMrZjrS7n?RNEK$2%4Yj{A?mF)|2v<;6=Ey~
z+>ABKlwEIXfuLnNh*C3^Lt(RuPmwy}8Q8ORyn>T9aWp>R!xy4m$zX!|tM{v`zZU8}
zBz_Wd{de?7cf|W6CE^*v-_@9*YWzqpx3zsEvX3A(0Y>5CS>B3s&_1e4D3)HvyA#pV
z>z)c+?*VC-ps5G41G(P2N?R9wPFL1!GmD@0-j6wFaLHR8q>LPS%3oy7_pgz&Hl6?a
zinLyn4{JQj+e1UsJ(BP4B~vFgcvdY`U?%<YQ>k40ff%DKWCjaYmoj$`R9``DlH9NX
zDHn3zeKZLcpK*KZ0D>6Hu~Wvo57DTq1?!2A<EtM1!c{rXaEa&Q?J!kV#z~eAWP`*Y
zC6M44;u?bi;%xLav~axKQBk@0hT~znLp1i|(uu8)c-(5*CVvfb2ukWi$uTP=-nO;n
zdoLI7i-v(cT`mT|0P==Dfq^*K_~ZzHbfl@9yAi*1!hEg}PFa+D3K_-B6MeVMn_pH}
zH4i8Lk*-Lh!a))0^vl<T)IEzZ1JQ1=`}=ShtfK@vWBKd^#@n|@3)y_Cw6-%dJW$FF
z2nr2g1ZRTr=G_}WNF)(5kL!(#<*uCH5<{NhPHYiP_E=@viHb2K+vfP+CC_h8j+&Gj
z0?mfx3m=MIR#jIo)c$B_2_k0Lf+(QrYhW|~Os0PqNc?Xn(@%a5--k3PA*~oZy!#lV
z%1G@vRNhZ%acaTg{IU<rlq*mvpn{#U8>On59%agxPbVEAOV!VkAwp8F`8qxPHHigj
zFu&|<!Rqs;6xUL@eqM}x3<;ra@ZhC`hapdm0|zz8r-gd;Z2tcK>Xxx7Dct;T3z+0J
zRG@%r<n0zNYvifJxvaJ6c{x<_{Q2{y(<Xt0)UD5MjIyXg))FC#>QsAv2$c8QnQ;qt
zNGDXPcU4sfg^pAOdEXCmyB_N3a6owcA}uX97-hDQ#61=&o#5!}>-zxS(s2dkdZRS;
zTp*5skL{QLsIpMS4Zh-Hk^=Li3iA@~ot>R1ptZG%Qk<7AT?+1e@*0FMwm*Loy~<Jh
z-Ks`LCnNlW0-L3oZZQ*PB;~#6!(?HVq$3`Q<-&97p`I4PX41Jm<!PoZlLMxs2}&d1
zR_K(uF}!i#jC+$*Ubwj1^K|grSQc}-e)s<djUTsaA-Hg%15OI|@`d&FP{4kqi1n|p
z%AgqFPzyW0fINpU7T$)aXXs_lyAd>^^FMw>C?p9jz-S|EmKGq#wZbC7gSgc(X9HO9
zcH<`Cx}pqmk?mFzK%8g@ill=YvFGm8r<qw-M+GRmtp5kFOb{5He+@_vR9HOvec106
zFk)K2TC?`DC^r!)2J{HQaSpvY@&fJh4=MK$RKEo@1Q1a`1B^9rg!}h#2M2R$^S%B*
zMvf8Kfy!Byla@*gNncr3DpTf?_Tb7W>$|thKET+=oAa|4LKDtAj!T2jGVcG<6Fgg1
z`?Ag(WP?)RDD>X3a5F-?FDDlU8?hUf(>sv=J{UAZeBb3ur1TSjfJUVg05YVtD=j%;
zS4RTvmjPn<4q%#u1Y~g9hK5uvr>m|4RV4$2_OQx24U$ZPUZ-`CR=D^2_3JM%u8Ygd
z*I;>~j9{;mb^U8BEC96>Qp7kB$m!pOcnTv}f`9>^fJ{j^MOs}OIP~mB7r4+5mwy)|
zkArF1jf&@j5)cht3U}d?UtkJIh$F#TMPavov17O!059)AbNS$YXdAdrMXj$cC@JCV
z=VuJig`S@8aXbDwLPE!Jk~J`o*)<DEBXix1BqhKSZyg&O6Z-+b1vM}h#0kv=5Fa%*
zpQ`U4qLNAJms#6c?nwr=AljjH&o)_ht4HIrJ+Hk~dh><I;fZ{<D}$igNt#?*65{3k
zky&=ZNom})e9^W{nNXT?xky>+%HeMsn*kvK<p;d~&8*6XsPF$lZ$QXdZ-Bvn&>Mi^
z9duhFHTo`44m$e#3JTZ=DjN=Kl3du413|Tr1cimQf&xlinAf>I!v&;-De4@saV!MI
zYv5<V{!SLPUVl7)?^QNR0(j@Kn7k1<_Y_Di1fkhDyZ=G;Sp@{f428?v1|X@L{V+r(
zMvJ%(&!<F<XL-d;Kij|BW$K{eEs05%?6ECnz&RdB`l>aBwh57TkS|lB?XmiMbY@tS
z%GzLFOcxscFS)pz;g|ml!I$1d!P3EJt>P!YNN79{3>g_2=Rp!j?Ot|^Ip|_>2kuWe
zHuB}bvhrX33aLh)a~^q#K-?b((P{Lg24d6<afgy;1N10~MoCssq~d>WShy)9uz%*p
z-DF2)oQ$Yv$(r$z2Q|M*c1TEKHlY%RZW#u3VQqExo>M-4m(>>%i5~WXP7l*7TtSjX
zW%+@+@_}b0ReGN(MM8G`r+;)j9EFTY(F!}_1KDl^K2`!-`dwBQ14!P;{Oan{Ijeu<
z#r|@06K-5sXc3N^lULc<yY<YM{}X0jA-;1C5t`u^$n5G}eMVjWP}A~Ke|&tr^HwuX
z2?&|8>sCo*(y;$h-oBmEO^F8`9QG6gAKzdDtTyBEDjNo1UWVn`#FsB)L(l^V#YJcq
z*cSm={9o-5Cy4?2{wO@IT)GX_Jx43B2oWjpW*&Qy8>`jyngMknKoY=IJ}Bg?EzzdK
zZQ9H&eT2?8lm1iPu82jna&qvIj*w|me0I(UEe=$~4M89S0}7xpN@sxfAsQeppw8kT
z8`IS!aQk~7ZGmzEG?vuSp<+@@Hs=<T4yW+<^+ks$(>Z$I{Cp1RRWO8th$_pd*eKMH
zCLq5++hg>wRH>yc(7pAFDlZ^d2+jqXR%lVs*%U!giUu<?4(yxp(x(?bwzPnVj)Q6r
z0+F+Mf6glcN*6w24LUkXgaqN*w(7fHhm%_$O2&km2N^0!h+A!{s;QAS{5f@_68EI~
z^Ltf%8)Rfd$jGp;vzM;cpYYGajiTBygoP=AH4%Wcd>#%cIOMVhw^vqH7U3r+`OHlB
zasjY?uMMPhzk;Aj7=Kp;ul}bN?bWpRMNEDY^0N%d+N+F%vKBc151KPPgK41I1JoHf
z0f^%TtdaqabxPBEz!3o=W-J&t<FkF6JC&&R3s+cd#&E#=98wgY*ne1Kp95LhP-wGr
zc6IFnTKulAZhApTy2I&d-#_{F+=C*$dPXiTg<0pN@Y)aPuR#0>zTeiQP|5A}H7)ST
zX#PX!LsQKWh2}-JDKt7jFu9!(Awkn_2Fx7-f<Q@bq6wsU>7JX%V`i4q+r@EEUzZ#H
zjRJ7>2F2)7=|--Y-j|wekYmhorxS_>fZ8$7DWbD|zz&iCZ7mj?fI=;=c>qo+P;%Hs
zqs}8B8KQ(p6dFL98vmSFfv$d+)!%8(gA9VD*|uBsr4wP03`@TkNceTSy40gOXdc#;
zgpABNh^aaCuL_$DG9jq;4<8&F?^3%N(fEg2T0tqEN9O=>0FcQZsBxp#_xNJY0%=BI
z@kEhgz|amZI2E3;S^3f4RsA_EA_4=MSU>mE7>Yh>KZ$?k1YWV2p8H-IR1glGb*N1`
z^j^N@kyX7vNVX$m(#j0BMf4TlVwM4ZAYd!MZ1YvTic8e|qC8_nq2Ri5w{66o^otT(
zW7%q7a@7uH(T+Lz-IMvWlZI~GP$r3j)+9igMqo;D7<8WHIBp6myBQaMSWrbIg$%aV
z2G$B22QS_%D`!w=@>WMQuKl(A@tW@wi(t>oGy9JYxLrF7qi7aNPX<J;eP}NUHs$11
zwvTW0vnq67AGx$EtfdI?!NH-S_1){)-xg4c-S9gJN@F&*^H@<MSbvy}U$6}ekqp!`
zCbSCH;-5(HsGu=mkz+TVyZz6ELd=irmWC3;VQRk}b+d(X9ioLrkLMQE3#AoH(wIqI
zLsGL8(y|b0G<%%+*~^ky$(DBMk341-<Ty#rn2gC)Kw)IE+Z5iITZfvaMi-@7@Vpt2
zmmsxMvy<-kW?3Y8Mm;qfTCK6ARpnABp|)Qs8X6p&9TH-niOoZ?X>hJDD=SO=R?aly
z#k`Q3&SK6}5-4fKDnX|8nZValD76-ui6NYk{7i6rm9Oav`t3B#CKs$kviW?3i6v3<
z{A$3O;wf>{4ncep?pgRnz9~#}(IbuY5gI-zox4T$k=nZ4uRjyD`&GHQzqXfB9I75%
z4GD7YeB>X#l4-9t9Nm1kPJx0g$5^Mwgo4sx_;6xOs=(@|iNYIIQ=|9KP2R_6+!cHs
zd!(($#~h`yjh*8yi`%uFxbyq;cE2~eudnpBOQYWEuI=2Y=cviKV?ndc@{w{V%2p$<
z@%HVDsqFKGxoO6WMV^GYd<ss>F?$jwh)lbcpKuXgr)4=OM}oJ1)xU@)SnDbm?FIgd
zt`KG;|Ejr%Zv#k`=58C5B&(&xbNbcxWQsJsV!oTp%Q&_9`-u;C$yTWD{q~qIwG}q+
z%DC|ZnVH1!lVdJbs4Tyi$ybrhd8_@)^?9KG$ZfQMKD?Hm3w<wTa@GyQY@Sb7@yaLM
zuyJI`y$Gqx7XXQ>qs#k;bBqLM<Hb7sW3jX;iYc2BY>b;f=!ovK{t%>=$&E2lip#z%
zufltyJ*2x02gi=svxNNh=G_mx=A^gKe%qEamWu%Kn%>(SdVWrA`NKrlse*KrR%Wz{
zKtVR<6_a^gV*c7kF29o+R`N?9!`=O?iLRq5-C?s%A#Nq@lTqdPR!*6q#29=s<huRI
zCJSx!V=Jlf?k15Iql|^`rS7(wqWdbuudx*7+qv=X3F@d9x$w1b0Nu`mrJtAXoXPY4
z%YK8|#k^>hwf9TTr|NMmJPhoitL%2!Nh-4HnK`O$wsj1CFI(8rd&BM!$r(1TU)pH@
z_$PFdZk6Ch^XCJR14^?6DPjf67Uj@|?D4}0pK`|q+<*+n3onK2Y-?#mU2o~}W)6qH
z`#ZK>+2ty$&NSUVTuo6n^*tA#cD##LSzfrW$63erc^G$*oL@(%_BQ4GA8&4-jLR*=
z!c>tuFS)1;`euU0V`^fa{k>7*<La{ViH8JL<oCv~3{7IsMkcT1v7B6;hy%VJ&u2`V
zCk4x{Ntwj_t^RMvbHkK#)>>_Mb)#VbbID5Y&~G|6@C9U82J9tVuZ-OPXBMD|Ez|N6
z)}m4CD?<ZT|N0z3GJy$i-#n`C=Wi5!+=|Y1EMwMS&5Tx+%qJqFr9IU&c#XTGySBA4
zy|-d2;33QEFto*^;ieP!5HBCA<Ap*au`qRbT9i+r%E5V>P~5}z`MZ&wNnuPSvg$$b
zf2^5_E5YH5t0v3$Qs3e#a^eewCQ?VK2t+|e=LO-}q$h4+L&=i7cBT*7fkO&_DrbPZ
zjS6}T-ckSDraAiCdYc4?s9frMtKS~Bkl|N+OojtATug-|wm0i8BjGBQB-9G|(JEc6
zM*R291lWbWk2yZxOK4(q$b^IA1GI8H4YZljt}vG|GBT>(E1%lzNfvzzsad-YYA5L9
zZUejU+_`h8UO)l)#7pJY-h!3Iu`*$J0!6L<@uxP1?+N)6=p-l(R(<AdrDGDca!l{L
z8O5l`&RFxF<CA!C%b?Qc+Tu*|N;J&Rnn^6w^&lnai)62W#6ki@-yh3WuMpcp&K-mb
zoX||?#()`1W=_s<aK&Pr6MIdT093=V_a?6gIyYXWr0A!Or)Ok@?$!}f+z5icNIutJ
z&pL#N7a){BT=0ktvam)SvE>D2N4gIZ#~2DD1kY1py_qYHVpAu0rij|wluS?{Bs#kD
z=-pX9s>BMt;QEZIk;C_}Km$eq7Z*1bya4dEUIBGPAin=>ARP<B9$*mO3RsYmkRYO@
ze3T#7)O1_y@Cymz_+wTcg2vhUjbfgjo@b6VngN*oH!LQjQ&Z_EZaixOuIT+Stru7n
zU@RPn3Um<7<>%+~b(>FBaDvBb1bJl+=s58n({l@lu6b$qSngQx3cMjwEcj-u;E^<t
zC(s>$g~qNXyAi(absVwC94UHt3r3kWbJ)Us+;uy6mM%rI<AJ5UuY{m5O=hAoG)x47
zuEeoi0y!BpRD(VExK98~48D^giRUv8fd>1nCJYo8E}7bVoshuhH0zQD%?=MV^0lsl
zhw%owzKMxt?%#(%I4z`)eG`S96hJ3mhLpoAh=B{b{>p}@R6{k%0-lZ5E;p3{BMT)H
zKuZxDs2lY3wp;Ue(4K6~H>3OyKrF8y{POU_6PbAU`r$lHMU=y`8xj!_3pW0nD#(}9
zd81l;0bO$d(tQnTA=shb8#A?<ASI}%w03tt7%kL=7Gdc7A1r&W8ZYYR7(dmOt1n~o
zrUUH5v!_m+&X2As_&e8ZWaW2!ML66abBGuS*hk=9$4i3URrwkOgQe9~=~ymZRP+NN
z<@lx}#Jt;~5l2Q*adkDttG%TK^|lLuQP7xe4A2J2*QtJe#}9kq+qceyn`YoyKiwEF
z3BrYGhnC?FrXy?;FJM?^J@$2Bq~mVcq-TUZfbHu8S&q%AO6FU);y~l#>*kPwE^iPL
zxE-#X55x$?Z6`M!%?}PL1_Fja_D2CG8=P*eR6w7o>%unRtBlF=gd-{CtX|}*+57&w
z9$*!2J!zVG;%2x)3FULR;2nG(renBdy2il_%6f?w2f*9_Xbk@h{1_lDfsW4kxk+fy
z>U<m_+79+jiFQH0UVQ?}b%ptqgVt=I8{(YWWvP%&L8(lS@d0QGKzD!`w56rOqnBCE
zB!E#(7Mf)_Q}fcx&BX;QetnbpF*bhwH(=w%gU06%7fAsP2-ON6H9V{aZslEIRiT@6
zu<jHRZz-=-{2W$fb=VmSh7M#|bpm3Nq$Y_Mv65QW->JNgoQtb%uD@qdmj?g@4iD-D
z5{TR0#zJB3cccC9GqAz@VJm!wXG9VN{`^>%3cNtu2eWns3|k;<FJ)ds)A)nU$#Ox*
zjW~u*xd#szn3)6NMGK$H%`}1Z$hx`;!Pa;T1@zb2NVl@(z`3_y7VXN6V;(-_y4K&>
z*$I*OKxm4&JmvYVCc3;J|43KtFiK@@B~uhtt=V*kDXOmv`KUMDnE&R#u<~5qAf|?2
zBQFLTz%jgGtdb!x!wbD(@EQSGkm*3nMmK;LGk`)Se6bs-{t`?8G}>R`H;-dDbO#CT
zmfIf3gIF$yp7|-ryub?RE7Yw;<!L}#Z=Rb=LG^A`>Yt2c8poUimwY7-Id1@|0QZB1
zz)UU-;OtQe39^twg7;rQyMiyQmjN(4p#-&fo$k=WcEKa<W2=K02|T^_N=4qtkDvc6
z9CVIJ)0EWQ;!+(COnY3vec5o1u9;A?H_C!=)dNr?uhG%nhF6`Swj{*vP_IF$ar(gp
zFBm}85L812IMgx*2C1;FL9}iSCc%0I)FMZ#8lLA8u*>Je*^wxY1_8Qj+}w)!8hOxC
zCOJJblL;$)u+GIUUfio8=(m$m7Px%Ug3wvTXZZ02UpFc76=BDGXBU@F99nlsMZ-b$
z=J<PUzp}!>@&gj#OD8Z#(m<6_?+bbPSPxtR8wZCNC`6&qd?a%6YY3!mrIm^gYnm#F
z%Qgih!foc!-s70xC@*mjWh@!D0Q|_ZeUzXwGFC30oeHZ^mq|$P2zh|DSN-wvj$1ql
z3hlk^g$rJoaTwF>O}Oz~C2a|`Opp@U_vF}6uQ-8pmqT6YF0A^ipqV_z2PMaFBv<{K
zf?jk~R0}jY=4ckt5K!{l=aUh89(`kmcpPMd<o%P)I1A)h+`Traou+;A%$7xa-^9mv
zg0T8*H2(_JlI2Oq@+0*deekLiYp5?@V95w@Tcl*)w9RTu!rA=XOfH1pe47rP+}xX!
z3turT^5>{-&Q$zaX(*h_T-9GNHpuDqQx3f=S6JEtC$4>gjJYJdzT*Rka>?#LW%RsG
z9H6Rc8n4#O=q9%+$dir@i};#v(FNdyf5v!*rG@#Epi1fBko&42*K~9OCVOVc->s?}
zi@FIJ1LDuLaa3d7zh^qHvN}vbRY&Eq7ABsij9~6zR~b0j1;30PYuoy~?LLWEUM|*i
z7n!hWv}igB@xyAho)5svQ@fdZh6BwmQ*%3Eq@X*5Z*BQn?_@^ZQ;}6Zph$)deoHuP
zDj+tq$pqi7Rf?0N48vSy_SpQMn02u%hFWgI03$%K;hVv-udH7fW4~^b3dHj0Q9gr_
zeIMw0sIb%1$2xEDidb<-pgA@b<S)rBOx;a>IZL<D{>q%}b@<gQS0}XYHyA864bDns
z$!X-`%A+8Qx?JRbBgI0Cen0W?wt-#qgdu!OFJ0jlUOl|G<x@9Tz^YFc3q$-RztC})
zDXm+fN$=aO#Xr;D6D8g%yRBCD?#it&>v8he%ZrU|;Vn+p*5;-`C9_RzY|Hiut!$am
zY?b1SUDVavb%6`}O<%AUj(+E<$i_TTt`bCVZD;({O)vMJC%)X~(5}R{dCO8K?y%wO
zns@<O1eFtoL1uj0XSo+9TF;p7l3NP|B($IJC?KNde(LjtYj<96W1ubOi+>u`=)(wg
zhm2AZcKEVb<@L<!-j7+gMIV#Hpy(X-5oQjnTg=uSzKV_2ETy<<dP|s8{Twu&^#hFR
za&IHNE$4fqKCVX!O(TS{wA#^B!~WCO^*^t*u`F+p2=`V+f1y~T#Jv$P7c}o+GbZw4
zxQiw?F)l7UxTHo|1NsCdNOjZBiew?1qu+}Od|GsAi@Sl6^*zLACsdb7X#v#N=deGP
zHk8z^5l1d*POUCpFD(IyiKAp&fET|4m;UZvIpgaezivMD(IpettP<%g56zISWDa1W
z*An40-e1(S$hK_>Ab=w~=h;`;m`7lrJ$$Hny8k&D#g~jjUdFC^k6~$4T_(ETm?HRN
zBMvx?#{RJDVR)N=&iHc*GE1T9Pj(U7>^ED(-;*ck$=SX=f8(aVjHT-Q%g|bFpQYP;
z)>`w$lDEuDU;VB+9^EYPB9VX>Hd#ISy2f8>H75pVYdMMms2zsMkt&XftenHgNY>B(
z;iWE{BfFz#wZp)3OGwXj?yH^tZ$8_(w*E_9<hj#?c#S2vdfyy3eboCh&Q?FWNDN&#
zM|J+|k5;R0oEygcLc&a$(YY@dUE{C!y<D(0CQwgKU@4TgeXce3+JPM1%H0}vhaM~=
zm9DEocWC%ND&T)_|9po8_1v*?1iYh?3oAi*{7(bZEgzpPH`^eYSIW4Q1dJ<`zT65D
z=}_o^oqS$sg>#HNo+X*frH<hv?)+gDkI7dzEEJe@xIT#5S(bLZ>zQey5$d<?N<O<S
zFs#^}ZLQp+TlQaxP^V{m*p)uQ<p2PVVUz-e<3iB54c**Q;Dse#9D;NV${!;abH4?+
zr_tybGH&tEn+}x%qHj?UP#$XZ@^anV_%^-@mTT76^=1lw^ZU?`3Yf92%N0_q@b)7X
z-j|T%h1a^c={gLcZrOn{G&t7M$dK7OD>N;XsTg$_PXUg52yf&nZK<+^o<&Ap-V&YT
z$xTO-{^VZx*6O8~!VuRrf};$=hN$>QR;!@fp82f%j{NC%gqKdqCO`*xSxPWudx9WO
z3&Hz43JQevuDhsy<d-LK0!V|q4M9Hg$EfI4T3Q;s_656k=KHu6G{k~390jfhyBNLD
z=Le{Q6aoW2u>G30{*D-Bh2AgSb8wSgoV>isU=Ln9L*mfeOGF&0?{%UMJ+}|0xfvMl
zZ8*ABcX6yiV>UQxg<4jn6JOvc&7^r+uDuMuT;?i;S0jP7s$UofA_3;B*49>|b%<%R
zK;u12MW1D5HylS_Knm83RvoPvL>+n%FavH%8_#3tJDjb24-6Ykb2p$Gj5ltm!9f&S
z@aJnr1m-J%IY0wI6s_Bzb!*#0y;!ErsN~bn<!<Wr1OY29nCe>kijX6)x?yOym%67?
z_MnapTdXLqw=oFmElR}U^_c!5Xw;vadLk&y1q*Q`cEt1=6H@>HebbTLHaMUml7&ro
z^{NkK8i`0rB>>MqCbxvXba-h`TNgxZzd#2#ngL+DGSiU|IG6yJcSN(QQq{Wy3C)5t
z6B7$-AoUIg&?szDLW{laZ9@<R|3`6e0*z((evQ6{BvVu*Q&MCeDnn>cs0hg{WC%ql
zQ!156W=)196q)B_OhSgD(qIgkQZiE+ikyAx_doydTj!kht#j5{=e+ATRJ`x|Joj@C
z*R}V)_JulGrR#Hcwusy8kkst-7+yz1$3&`>DdjVt9AT88*#FeKbPLo+I~-eI=aT@4
znwom3J%2OA(aN)3ZtbUwGM&Y;FALVL%0uwJu&_WX+u`1J&TK#NPkId5rrq27K>+~=
z^1YDY90nK*V=|R=kKuO@X%OKK#+~~tQZSB3+$?+EI(tW8c=Q+^KKoiJn)|#rkZ2y$
zQv-Jj>B22YojZ!0Vt1VSpb8ZPRBo%4Cw;_^SD1}@K7Evu(m*~5oat?LF~ft1T?Ju1
zr>ctFlW_OYPxIre?;ztm4~sWKwIa3@g)TMn{Ex4%Aofc}!g@O<Mg-;J(~yp7oH>&h
z7znlY5y}Q-uRPSxHiFgIf>;hJjiYuk0!A}u>gwwok&SAaRWz?vLfI|xRsw@}2zm^D
zxb6|w9=YG4Lu@EXHhJoq9T<qq)Ij`V3z4&}vsfmEO+;V~7ndk}6?~CO{%Y34--g>~
zK3|+5Lze!m7rVsSh~r0fvI1Ws;1!gXewW{cnD2Yf^XKJr{UNm^s}P>zNq$du?y@&(
zS0v55y4qJYZ<BO4d)JtC*7Goi)_Eg>zq+QT8xYMA*(owc>^cy2hvLTX#K*sF+Orf2
zAqlSa=SbV?%$5d7oGHeou7ac(;^W6VvW~3)4Vr)su(9D8gTFk1FfEWCgiASMO86#7
zpY2yYup#>OT^Sn0tnfS0!B&LNvyC#j4R<UsImd^$`2_L{aN4Aq6bK3Q54D(8c<;n8
z5$i!8Oxd*?HoSt~xv|SI{x`eFXuHgswQD!XSkqDf;t0yf+(H^exxDzx$e}GKOeUpf
zKnjxh(erJ$pPcSMk#V&32ogrHt&%ek9*Y&+pZ?Gh6nS)5j`a?IQq9|AmFp!XnPQjn
z=36>s06djlYR)~LfV)(T0ub~D{KvIgYpXZ+WEXxUEI}ssE=7y`z_u^{o#(A$X0}BJ
z;tgVwg4uH?F7D0ZY|rsgWuzzlkk)<0-|RtdphDsna$us7gpyac{xVz|JQg||8$&Q|
z+ZxLa$%?hxy!%Wq1tx(TkyCv^U=QPr{Pw?qMEkIgMcj^^A2w<xf?77kbK^|wv=u$R
zH~K*?{w~X8J2pWzXJ<(WMT~fsK-Is4u6WzXJjxP?fYN$|M5pRuTn1mywrLOuDTC|j
z+``C0NYnGbN$)*>J5m#TQe9J1GwH#D%KUQsCcg2q5lJ90Z?In&KlPMAF8CFEPi<#s
zXMPXt9_LY^-vK(2B!<_Zq%UjEF^>gedv;;&EY$fV(enB;R!mBQK!Xm#cx4co1<1E+
zU_{;es#hE+<!HR}k-v0~$H~OjFiP{48+1$_!_Ckjr?<~&wk2md4W=K57)*i`A$)-z
zp%4GHLcY6z<K+a(mMAz~R_W;IpnzdfEPNNn4jKvKN0;0xA|-VL_HQs?Ol2?+8F@&e
z0s}qW1kJ@C9BZyV6krM-vHh#)ks)$X`6kY0gB4kZVlL%Vbd;VeOS^zMSr5H?$g}GL
z0bWq?LtBX%ct~5@b4wH?vGthw&<JnG(mpUf|8nyUV&FlFMgoyk$e?894L11>6a;`p
z{DzGH+v!J?foHM=JTr}<pol7b)dQmRe+yF0czD}hWX*tFum?OwWe@hRG$c3XW$q7A
z^#rbQ$qJhm1@-^eF=deazS~x8o_$$u08oS&^cJ=_gUBX46%-uYzh`NFHMs#~k)a#+
z#A9mY0fK@X0|iPbe6lZ!>C=p*CSc5PNJ|UqN@8zw56`Y|Vxp;_Y4@?LarngXD7p^?
zHziLaXi2xWUh}1D$ZIDTGTHh%O-=jyq==&#7t)7nv|%g~h5T6)hYrdYNX`v-N)uK#
z?h~KQA-_(B0U|MwgRR1C?5||QW4jf!b}IuvSbe>GSKvdUpq@XZ>24+}5}dOd78dcw
z*@nb?05w9INW_z|3lonKw)u$~ZMEZq*bGG03LO?MILvkng74ty=xA?{kr0@ipFU9v
z0~wydb><a2^7Y>9#3_1gQC2o%;Zf*S_*&Rzu@>b!r%=9uTB4Vj#}YWamiOA|`VH*t
zf|q{(6q)+winZ5>{Z#GIq`_|DFNZiD?tUT7StfcgHP|95s(}-uR{?uwu5sLW={LUf
z&>;xQ$`%@Tyor^6p7=L<H?a@sU``4AAmm9V)*FDKfp=+lZse63IUp3ATQH!De_hny
z5+oriD41L`036Y5G%g!6AiTr1=fa2t0AZ2*a?R~b8~0o;Z@=)gTk_BBL^SR#r+OkD
z`R%Rh*?J3&ZDNghiey<uhK7c^x;!;q%#qd3Y!St%-N6ZKG4<BiURWYX;yeS1YK!lu
z2lZc2z7g#cR2iz?8I$!QfaGNUH8ra9#BSiU@1q8iD<ii)k5ZWPuz3AW>R;kCyYJ78
zbso5I;djH$n>Pa!M?5^O5lPdjXGbd5|1hR<m%d)bSp8aKIf&ITCzcyBcCR_(FU^=}
zSsKWYSh-n3^1`zx1t!MK#xm{}tag{rET2BjzZ|;DWD&TY@#Gv9dPMT7W(jdomFpYU
zSFAbcTKr*?_Hy{GVc_;@Eq143{`w!e)mxtSy>T-MJ*Lp!exElQBb=;n@Nqe=meD!A
z?)kuZZ(4V%cw<hxC<UdIhBIeps_O6a29(Kd+O$d0<b((gk2^m6_Vo{)(-L5wYO0__
zpPV5^64YUiHH7mx_CInS8HWKZ?>OE5uEQ#g0c8^cf`YXjR$a}&ZDJD=He#8*Wl`&<
zfZHXK^fw)6yXZ|!Oy07n7`VYXP%x)$`NG)VbDv1-*5=9k_=Z(R{`I4sxUjE%eY(lH
zjz=0y;CNK%)FVVPMMTwcymibEk6Vh^FK6M-u54m8we<l@D};iids-6gzZJ=^cpFZ_
z;W5pPn~uC)=6t$q5(kpy@_2@Xs`VIOyb;(M0LDi{WKe&3@U=wk{GM=F$<mz*nSA%O
zPyKjQDt?;Y8DBvXE$4lNNMJf{b5J(tNgFNx1<U&;0X#g`64vki)N}^@#^Ai>WR{1F
z7w+ld%hNM<$m+VExQh>Q{kVq<zj=qV2tb5{I90WDjrgc7hoVwSYzs~uV(SA}*E62N
z^37OPC?iN#3t6hTJPrBS01n1)@O~sVlgdjAKOmn_D3U+j4hvXI$i{d_Mm?3FM-wwF
z!ayTML=gj@fyHVcwpIOOl1!|emz8fY^#*af_Q&2Y8sq+01bs;pWRz;yyK}fYNu4PI
z7icQW!?{G0Mei(!)>`}yezfO}=ju55o^Y4d`=6pd7WIF^)68D^@kX8?@HX?f&?Nh&
z_=Vpix$Yya%s$wTZo$|FwySlVsA$=D@}w}4k~kOB_{;xB;mlXa?Yhp^^8#MWN0^5h
z2IDa2LBq#^f$aT!ar}#kYrgD1w~59o=&A*MajlYU<Ni+1hZ)YDsQnXy=0Vg5yoHku
z*6?6X$kB}9Q-oC6X#!Aszp?M6UyJ(7#NA&X71)$TqV8&w0QRLH!A>ZwNP&2WQ!ig$
z1y~fKIKSGX3r{Vcc59oOav?eqn^K5<QwPQ$xSE7f46sk)5xp<p-1WN<6#A&4IiG6G
zi?44$%)#4;CHVk4DZq*TaD7o|J#gT_`jI%WEv$^|B~Jj{ZCj^zC`FsSF+ZG^#xKlD
zVV?wzVI?~aCvEzZj|O6&isCwpniBTtgmKB{q_cnzTt;^X#RUKa3T^Thtv+D#Z7xnI
zZxBfs0{Bh*{608lWzO{OeOypLg(@wAks~o-V`c5-v_K)a%IVXm^S6N>nMXcDX-DxX
zqN_w;@+fj59@(l4+q1BCK7zDB1>DJZ52!GRGz<Y(e$UNG+rQ<(VZ^(CJxrn+#0!vH
zz$Ph}iiR!^x-bgCH}~z|&pTya;r%K(b^&%+NM*Y+g|;C9e1KmjUP89xMn{h9#d*-s
zm0E5+kZk*!F6Khk=K4^pOc`b7=CTr#=c-bEMNZ#}#t;#snk^88j@X00V$u&PYKwRb
z3~gjfj&Sw;hw;g<vM4{3?h?l~SbUFI(S>fpNen&&MV4=o0^i+zNfFc14p}l2pYmOT
zuP3T8k{=Q*e%FN^F3%U`5Jo^66$EV#K4BvU?t5pk6oN=38UT-(V9%_AgO{F}c`!`=
zGqLAJoZx3tU?&3s7R=woD9Bsu0T=ANyr6*dCDo;;!h5E}p12W76~2am1-J1MrK9wW
zj5H4rdDLDgkUW09y2c9Sx0LdqA2bImEU>2{S;%THgQf2zVl>Nw4#XM#B-9I$swhcG
zSh<cRq<HTm&iK6jdQ9_lT~f}TQUmWk$*h|0l}(rvI`{eS6-oAv<DEr6KFt6oL;mmu
z1Xyp3eLRV|mGQW1<68_gcK*wZnK_<nkIV9T(=4>Me`jmcT-)v_i(?-FG|&E31OGqe
zE|rL|b==)|K$=ZVYrEPq5O$W7tZPbErDdz)+>iTUW8)A{^KyIAzpt4t#-8br^&I!R
zpZzJ1*R&<_v02%BEb`>9^fLN+&!N*(yYustQ)`h#FZ{~Ak_?WLh?>C+m38F{Cp$BZ
z1px=+76zW)-bZ8koblS*2`6owbH@xI0zdWXNxDrb9u-MO5RoD4c!7XWN1THcD4*@>
zMg8-1yUmS!*Fg<Td6Q=sWH(;=$wmQeh&0x1X>oSFk`A`d5@c@Y@wXURM-I%rN4THE
z3A^Kv3pM8-$4<<<G&4OdfDPpJw%nGbg{CEGBsJLSV0bH!S~Vz=%zl+5T=^RV|Mqpq
z)`QU<Ev>>%d<Ndd3G-)c{!0rWgVYe4%8~KAX8HNjUCO+LDt6|>LCMm$-lTd5jee_>
zF74V{Ub`dz{%>09k%)6woI2k+b{_YhT7lqLq$mfG276}U(Ts*uM6w|78yKW*DKNP$
zZ--b&>K?w+k_t*$$4syRBG4--W!FCa^ncE2khBIQtt0_v_<$tyGoJr&T-><Bk)uyN
zosial^<shZSQv;$aBC_Mn{NOpgu@;lS2vKve1tvmfl{>qb&CtFd07~YWbRQIdc~jr
zx&fJ%8X%#QSaj+2P$A}{`tk2v{hlb3ndB3&vMSwoXjBkqwN9nJrNim+C+jv<v&huF
z^Lf1X({@BtISdJt95U8F?2f6;v=xn&7hQse5*)){>ye5-<4PFphGWdh&CCy8AeYSu
zUfiTR9;j_8IJri8XHN9_eQVoCu(h5a2$QGG!H&?R(19Jv@*qs<n==eTz?@SIb1k%7
zT^|p8eTw53s=aNO7rd@BbAK&Sx$@tvnVKqbgoDMt9SSi(UWXt!1QW9X+v)f2r^N%2
ze6}K)hlyu*{g#~+NLatY>Py^X-W6JcN0_rHP$@T7#_@>&IWi(*UB%zuju_nQaDIgD
z@^t>d$B!RL8iJpK_=Lny1=wKDP*54i#LTuo9M@vg&s}<9F5te_ito%!zukyO!UL|4
zMVD+o%^-^aT6!d3$ID9rin`4ZgQ}{|p&GvfS8I?PupAZ^vVj3PP~W&3xDf}t)Ng~!
z8xZ~N`3u19kum@;q5n@47`B~WlMg7jV`E2zN%<rE503yX5+IWpFwlIj-)dD=V%O%1
zRkE|8)Vrgl#Q-OHNbLfQ@&hw7Gs&JSAV9p=d<NWLTE3jbkgUN5z-90l&B6apc#h;G
zR0(4G-3FTJ`fN+;&_(N{fx&%0>GIX;Lv~&8i->=tPZKNevfCXcXRhWtPMu2zkxrd(
z6AWIYz$ElGDJMaU3%4*0oO&l9%?($K{x1!{;KfzhWPqFBY!Owd#s{BvFCPuJ*cukc
z+w>+!;LvGZ^f7RS``H?oEfCL+7;9^3u_KES5O8_+D+*X~gt3LEXAz){{lEz<PCx5*
zjz*^32tNFqaB8`Rn4anvK(mBqd^qha#D2&+gzFanXGEf2`sG<S!lP>q-lsTokbnPB
zG^UJ%l^|*$+}U><F6+89x-UppEXgWboR;DK;)lR%aP+40ine<-hBYK*8p(Ygb#c7(
zz;0;5MR&E0^_$*lPfQWgD2z`Uz#oI(6<zxAZi``hhEev?Nnr@9W&%`8H_OM*N-yx;
zE$8oA=<bk7UsC*UYA*Ts^UH5p4w&zdtr^<>xb0A9(a~Yg#AU?cHfW;rmv?7|ZDM_B
zWL7d?44qDGA(;MU8jdMhG_J@AvAnANRznaRtWQ;{Pjh$%S{AJ0-Eq|bV;qsewH(BI
z5b)dc#dF$zbB3YE!d*Q706aj#ku2n`jytyLDx3efyR}-nci#Wm&v_%n@rb;Z^>*fd
zscRnH5{x#mJ}LUn(Mqb|eTR&}N+c+d0qj&_GN4+{S^A>jnVIDDNA4D(kXR!!W_FO%
zh9Ow{W`OD(=Zix&L#*rVSd^4fh6TjLLULz$2d_QjICs~K%VgVq-rGmp-Z&SpCyaS~
z{P^gR<}kh9QA$L{+t31<BS32p9rg`fW5tpu+Qa&6%j+Sd@wQX?<+P@KRy4ar7HFyM
zSJ+98+FE$JdXbwhd$p`W8<ZwDHSM*MlS+Bx`Z}giP+cBkT!n@X#@+Oix1a2$wEIk4
z4Ws5ZAIUp^`C`&8^d`ZZeV4NrcEYlBSBui9a9*$Xk12c`{@rj*{ysB@)<@a&yO@8j
z8=~{#-@<r$N1lw)LE}%ILoXti-z`dV!3-u{?njw2S+v{CnVu(Xw7Y$u_hUA{L(-0d
z_92mXYaebs!l>YH6>>GK-T3)~;zMUW?=Qdi*Yag2pHW^Ct@+0AqA)ejT_=0}m5_%4
zdv$E+X}D;1(*4!3Op-ZmHc9`~gT9EYqMYdE%Z(va<PVO|bn(=7J3hVrlCBrl-Ep@2
zuz+D;TikAUk!dqWrM*78%)E1cnQ<K3&3Ae_jw_A4KZAGqf&;g<YS75b@20x!*B4YG
z{UaSY!iK|;sYSefB8E2`RTd1nWy|SQ7_YP57RL)}6mOMZ&U+Jwnvxkk4XI7){ClLl
z+DFfM9)9cI;g<cJW`XuYs8zw$Fb>A49~<S6N2ijvIZKf#>CC8;9o<t>*8g{Wvz^YN
zPO05Xzd0uTLl|Ft-E;c#v#L#sM9i^vwW9Tq{pioycT5T{y^fc13`l}0&q%(wB>^XP
zub53q<87VJ`NhL^$y&&EyXymX?qw?O_>rr(wpLa!K~C*D{p^Fu3EzQILl>oEJ;P4Z
z_qo%_bu?cg2Y<#)qTInJGUbkyLX#ewSMN)`&gt0v?P$+BmW|G~*KRRZzY(>sH*JyR
z7U*IuA!9HuCs*;Y?Y_sqXLdB1B-#eqyYh7xx=!<~dzd1!5NE&EtI>LH?=^$H@hkW)
z6-Re`8#T_Xe(7<vsdk_I)p!oZOR6U+CoB){$b0Yb?FV573kLLYMG>M>%Qt3v*jJp*
zioW-&v4~F<!<H_lrsv^@*EI>nzRC@?dcAo~O{dn7*_Rgi)tvh!tBs=L9i8T`c%OU9
z6k~`F(f>s#%#2SL9G<xs8y|f1sK>+iO|5qH{H51;zK@qKh+6PT=hdij&O4WM=)ND=
zY#6Bd=H3&DX|s|2K1!3D^9(JMy8WCWQE*OPnY#=G(2@t1k-R*`u3zH3N0Brd<!_gM
z^mN0g*UZ~b$tza;1BYJGOIe;#xy!TO*+Qf#KYCZ&Z~7x^6|P#vUJb+E!?D}?a{4DO
zVY0LA49Hww*BNI%SDz3Tyt+cV#Bx%Mb$5vIrq!2}+rRXrwOd!*{Bv~Ln6B$al^T<^
z%rz=Oq5Pz^kDRZ@jZ^Om+r%RlM*Eog^m?yaPB}^X?N6Qc7sv=6eftP3ce;bUzVDN~
zDvL)i-STW>*Fq4HuHi?`DkGDyR;)VKXGL(WQSVWoiG|Bw7oazJF|2;({Wnu8?#W&2
zk6#)v4S4gTGuBu1h6(w=VWA}QiNk6&#%sNbvs{LljFTs4dp5{;^XFw{yx=NTxmU6!
zPnG{}HSLV6v#0!LC@fOshE6aH{JBxNp6+jbvX8`%KQTWH{>}d8H`)X~Z_#L`+YsdM
zubwlvXt!T_y}h7CNZ+OPd-`2eUF`JBm9JXmP_>~Da|Jht>(yU$a@IDBzMqAXGi>z8
zU6!?wogzanzFqk8xFJhmRdn?hL)AQPKPov!@#&wIEuEW${;1cuP4Q-*wcb>I?NQm5
zKcKD+4fue%VCG944ggw~!F*1vfY!mPUXnw)+B3voO&}|D#P)61OXEcOgV$ur#f~K1
zUnO4YqQ3Q@x&7-X=v0B#Wa4NOF_2I$v?yZ?t<2kKyk)Yl+Tv@;+WyI6V{Els*moJ<
zr0zRcIo)vMFd4s$3nhu?deQA@{B&_={m#vt$qg^8^IwC){JgYNDctea-Me%71vY6p
zGbY@!IU}y)S<hd+cD3VKId=7GjOWC?^Zmo|H=bUsD7o;ZZ&;T<hi|^5q%$-`%xLCy
zu$t;<oiW$lj|VQ4j9nTz_xw+{c&h#b1_&zUX#e(&Dn$I)U}FftA?ecsA1uP8ltKbO
zZ%=o$3yo<39&~IvUR}h#EOBeAbFuukI_0k;BO{?+5u$o_c0!&{7j1eC7yXy+qOTJ?
zD&B@Cefq8<>F<&?b<Tn3ukqF6ja^%t#;eaiWh|9j?>Z*=B{;Lx@|;Ym=lZPkrCLlW
zKf;1$>R4~xtGioIn57WSSGi*bEj`duj>^S4Z9L+1yIphkFaW^CXGzXlND7L7?+QDr
ztv7t8AH;UgO9f~|z<caex;E09XSE-~xsg%nW-W)Fic61Dm6U=r-h-|K_7}%{-Ssx8
z{Ppdpp)SxBgjo3dC~LFC5Q?_lJ?S;NA8TANdPtu7^5fH6))0_CVixTG7w(WB6*G~Y
z=ihI2ZzCu7f8Nk2OaR*qcDA*PE2^xwe&~EVS9~E>**@TrzHLZYbd+b{4oPwI$-IsU
z2-GsfacXYjxK2MBGGf~wM~GIDZ)M|K<aX_fg9Jbt&`Lw#w<vxA?}f8dZCx;|Ba!GC
zxL_O3&x5`p<z>L>K(QvE-ewZi2+G}7RwA`03=(tz!hkIzFaL%5w>9^869{Z*%Laj&
z0rd(){&6(ZPy%@P;gcs%CMV3As@7_9)7<iYOMmS*okGkTTKjqfKA=?ApUcmKP<+wx
zu<H!4udgV_UI~J?A1pngxse=vC^>7hObVjq((|bXv0P}a4ZeSCdik<9IohIs;>wZ|
z<^(A*fY}OaYqbECw8NDgqP_&N#qu_R3voN-a#R_Vt=5mzJn*@)b7$6wt5WeI)E75l
z0}VbH(p`EayUMWT3Llet_7g<MhHzWR0tmYY;k8lLec&?Np^AWMlL{sz<Nzs1;7C)S
z{3e1KXlsYtl){z<?nP^Pc+9f08k<a-!H}hA%r@*HrxAnKYhzBU0L#ssSM4*toRAMJ
z8atNjbOXFjYW#&@(9)5a;kXN^sV6i3h$iPWd92?0wxPiq;9(?Nh@MuQVk8j^n*9l;
zUjnKFsQ_fRh!Nx=_Voh3k8(iG$hvvVvq{(vxxyq3fYW{q<lJEN@w;+PT%;Wta@Q#g
zS1fQf(V!}aLRXY(tI`tlGB^AQq(97PzQW_g!1ePqSE0qd11>k0g0ycYFppBz2{fN`
zIMUXOpF;53-eF}{3<mV}-Mhx)i?g5<@J&SafzaO`l-&Z_AAz#HjRcO`|M(-KlP@pN
z_<p3RvC#&ZHzdRqD9DL9JmeHo7;RV=8oWB+=;-d-92OJ}nPsD=nS!`9@1I)QBCZni
z&c924Czht+7=E_R{G5#ImxIuRpal8rSaFZ%XaTUlnepxr0J+egkcj|oIFk0k_HX}B
zL@RagXQbj_t`G+l+ia@z=eY-u7f4PX9$lZ*Z~N>RRjTxY-l)5ruZ(4O^PQbnm!IVG
z`LD5{+S1H^b)f{Uuw<*@u;G#P7eTO7XS=oLBJqDiKPkGpy9|-%|1O+IEqacEwkk0{
z11TZMXJ6d;>dl*Ea?zsOQRJ9eXnkcP#?&<Hn+NI%ynnSA5%-qb8L{kfqs;w>&PsyU
ze>z?kVjq9LE`Rrq9TC{ereS5Y9W(Ukz_Ta?jZfG?8?UWe8hfn_-7FqVD&{BXkDI^=
zqcbI=%`}Q~Q`_c9Nrkh`O?q9qISI@CJY$`U_ZTY<{T~5o_P@^~V`9)?YBh)E)Wl-|
z`pDIwOwX+ufTbZuODumj`O!95>+Od&vvlA$49NE44ve2&C``H!HGVksncLxxCg<E`
zJe;3w9`blt|3eXWmOPIU!+KY!(;%8if>;B_UDx5SAC);C4O=Vf-tXVfM}CTSZZ=J~
za!bC!884dmgPvorw2#V}B<nqYkJXJe&j6Nq11Y@*Dmy8g)k7=m>jU7abZ5^(-|Fy1
zC^agvvwbs;-*aU*QgmB@p5P6o;Q+@a@BA7d#^mHAg<nze9yAQsnKlp}0Gs^^OR&bF
zJUc(=wgNpGYEEAZq{<5Yu)=@oC{L;8pGe$>!j@>IOY}0=x4OA)IKdQ8H_B;7kt}qQ
zp^uE+t`u1`HvExb=g0dOQvm<#H`Hj$#fD+E{fK_P;19-g8+Mcft6$+}NlU`J+iV#?
zhn``25eKRTmFH(8tcp9KOri$gOh=lo!Ot!X8{#&MBJjY0Im1!n4MosplpqtV7=~oj
z{`+GSE{^Xc!iqhYmBG3UfG>6H+8br~6*%ro5C??Gp9cv-H3zfJ`FemTffLh%A9D5s
zbl_=BZh4la7{UHc>iI%7#I`Wb>tVk_3Q5jGN39t;Vmct~bWB~Hj%=^5u%0oRNE8du
z(g9EQCFn&0RpppQ!<L_bWYfRej&BD{efjVFw{5vjhtw}^l1=I#3>xz4=(QV+pm(9+
z6)qo4=V-c!ekuQpvJzshM*;JVN?r*=b<`s!cu%jQV02O-C5P5yBh+<J4fW4Gmj#M>
zPtHjLtu&drc36Tz*xSddfE^uI>j%gRQxp_X*#A{=Np}00ABm0Fdx>!uOa*@h$L66K
zqYs1v(Oz*HPdRK`(zBc(qNqcq3C=%=z28D*15V5q4+b87kJ^_CKMeoHc8ux!>f*$+
z0}$B|Osnz7W~qOgFqPkG^^Hekxl?7lPxe|dNzzN|54@UpE-sQ1z_iB>e$~3o3MXSt
zZEfWFY_MoBf>4G*j3w3@S_H;n!7DmXOF_6K4R*o~UYW^J;OSO=DspO6nkd)%x-+*8
z#dblT_|22#UdHa0eN{QRvzparGI8=;iDo2Suj;2FMuUK&XLfJ6z{bGhDjAy|ilWOu
zG#F|`W*>F_i6B6_ZW0|#;xNaczd^%9Y9fOG<DQJ;Z~46Z)(-IGAchK+!y>4%RDjtc
zc5{?FG=UV<v9RC+%J>la8<c$Cf}jR~jW#q8r%)?I4l>d!2ud=0%+oB>LUP<w`|sj|
zi0lh&4F_@BKynd4iUol2MVWq0{^ATN4N(ILj|Pd{6Sk;e@_(Uzd12}RHl(dO@kD1+
z8-EA8B$O=4tq-%xE?&H76Z-J-qS%4DR^X-JrXuHlltw8)oT}L^Bw$u@hRWyp!XU(1
z)r?H2lS0FYNqqIrib~;3NmAy4iUlx7@J2O%Xdg5-dqA0$ch8;=c1bs=<SVsTIDfq~
ze&YDg>l%DCM%tdDa$O4ufH-YnT>|Ax5GqEt!z=^+^xooDVsH#&g?@!*@yW^ezT}5q
zla|nez5&S+hWZVdNszb)pAdjag@%usr%#je9vH{@p)&9t#1+8$$@+qcrL?R=vn3HD
zVco;Imca*4FCSYek?R24B@9x+rI`(=g`Uuqa07M+0PrzRN;JZtoCGeOPg^+T3dtr%
zNOFz+4QL}&5jSa+Yh!0d(N2_UDp2OgGT=Zz@W`l%*`?`|lT|%Sf6rk<-D_rcf8csS
z)<_5VDo9eGt01O~5Q{wP+B186w9pZg`{K7gnQKZEZuZi2`K-{-{PJ(U*f##C75rf1
z<{w_#{i#CcItrj=V0!@p-%v-vRw69|pqqlCh}s-2>@i?7_V%rpgsw#qa|UL@fglqR
zsi|P3G|F?p>XFr8Yw-uRwFpNHPZPZVAf#bMlK5S`G8ctIc82A;{G^NV=$b6KN?|)q
zFS&lHENT}|eR#;#^-1zCwYKM01yetrwUl3cc3G)t474aKRBDV;<&|*aeSxtccA}WC
zYBBW?(jG|uW#}IeFfcZz1<~iJo{C+V`$+%|0nZ*Ob~Xoj2W{GmmX=7YnGY}kMgz;k
z7-mG=Cm`J<m1HRNm;w%LS!fEunVKrB2~#lE-jJ(+CnXC9C-is7FK?i)EBhUKW*!Ar
zm^<LCI*f1J3Hwx(`G^$01}JZ?n}FL^T=VI66jgok{W?zKal?kCQg?IHe%4z@M?Ry0
z&e4%0hWD|xSHF3az3)Xxjw}mX>99w|y~o3@AcklrA#im?;IE%%rs>+hyYyS%M6K^r
zHojZceG#6A=hv9XWVyB$7|_M&zqdiTStvxXHuU=5-pXK=ZSl;zu)E;^_<=BZ08a+D
z3VH}h-*p`2@TDO2Q>5ewS~ghuM4(iTSjh$=l{f$sR4`Qi$P{`1qcKGNOenSh3z_rp
z!M~A#LHP?}>N^n;HFyvj5(SSonZhL^oI9a0`p5M2<j<d3N4SeS$C52VdXOF@w;oc>
zG406|$sC6Uh^iNcvLaLG4x3O*#Kc$|TUD}K@%O4(#Y(hIoW82Xc{%;vq0F1nuQHiy
zEIjHPyR@A)GJLc1T9~Rgfoc(CHsV%p2pvgtW~@?k@hHvBeyGVg)shjJv~n0G+7fP@
z!^nq%cda$PjR(=+e{@0VPU5Rt!Q@M4O*!^x8m6%Ik8zlZR}XLwQ&yNs09py8e;U^J
zlp&!cc<y#L^$VY1zEr0_tuCFI(bYIio}=gP-oCsq`0&MyfAeiiJ}AW6>+jJ8?Iw15
z>rg8!W^e49oHi%h^BxYw?nD~E=RK)H^nI6RyXy(|&MA85)-4t6zDQi8JmVp~)WhUd
z59j$lw1J6<=@GW?TDx4a-wP?&cMLNNLH`-RgC_VFe@b%l6ifoq8b=yUsWh`Mns^9{
zy@g5{g-z(n`HnrPCw-~sb6kL$$@mh@m7W)pz5)V$hR#+RCl9>Ywo4;I+>Wm?Y=9*&
z>hI{WM>B;x9_yv%Mw&RUT-(;AwM~cNmDSM6ukX)%_v+Hns)<nBBxhpx^~WEYm=`bQ
zgr&tN+C1KP%!|A2N%$7i**E`sv1>N&wl9QDs4Bgil{>mUO`OFo$Iak%=~wIs+n*{Y
zb^Y{}rE*y5ldbpU!%;n-Z@LSaf45VZsEx(+yY@>fF*16F>lSBT>HQ<Gl9_F|2BE+)
zC=FkgjKZB0srvq;_m&t>((!W#7c*+YY!_afc5%6Zf-TY%3L*<N5W>WNlR|u@5yyw_
z5r}|Rejk2H+UpX>UTnR@T7;O>kchG5IG$$clINK-dofv)Z4IMSQ@3K5oCKv7acBXm
zGapa}z1RbGm>lmYOdGxbdS_3@UAOUbF53fqRa$?iFH&Z7-Z$*X+^5V~r9hFQ&f}nD
z+>SC4G%gj|+Y<X;4P??q>I~CEr}Z-bfD(QA>Qxm!I}~%#8Wv3@9wQv+0PaM(lp!4U
zfq2HJpL_AcBAw<)SLt@7jHEi)dE+QnYQ(9<vQE5@w7t6HfjuiHW_LavO)G5%ycJYc
zUuGU!l%Z5|CQBb$cRzA(K=2yV6*N9W!dHG3|5^RW4zlYTx<^_xtWAo!4|GdTcp*H<
z_1vlI?&7c|=uJa|uSKr><qoLw*&*`ShrNN&h6@u*f2E)vUQH2_e}FgCLys9Ik%t|E
zLfN`?tAe6pf9{pV%&GOoI0fOo)Qe;I07m;gE^)v{8eEs$ytTxlnE4^cQ?|CP>+l{*
z?IkxzLPV8k8{R&AtPpqqz9pU^=6>`cYfbgd6@S(@H0<_k=toD#%xT3~w_Of@?&Z$v
z#!%#_+Z9gbJ}Jnr5~i=)|1g*Or$C<bOPbFRa3-duy;K-#LE!{x7)IP;(DSYmVS6ae
zDUa_TYUe6$*Ed;sPpK&=C|Dvdpai=ZYW#JH@<x;NbeIR#f(Io!7!-c6AXg%OP}tO9
zf#xD!{ByusaH&{Ste^~`BMWX|w6i$(@S3OSZ3NwAboxM~c}T-sk?q?H8h&JJXvJSt
zYyFevO}R)l%B;jMHS&}5p$|W$iJFxvOZ3nCl!p!u9!pS#O#b-s0?Ng(E1C#%{EI(d
zU_{ru1E7Yd)Squd(n5<lPo^vs0Np1#i5?ugOyP&tL}JYY`zq4#Z)T^yk?OT=6b0Je
zcT1gH-KMjo*HvN)K2W&DzT@^3vxZH#Gml5-t5>V+o9=1XUxNKClBwnkQSTN1OAByt
zURA%8Yr{IUF6<?6j!(a?vd(>ltI+uL0Zv2tUd-7Y<xnG_b9DEd;5?Sai@G{G;_nOh
zx3J?8=qR`sTNlLp3~W`vTJk`+^T2`0D95ZSm|g5<Y%F|ZwnCN_BU^LD)|T2QGBWZk
zMfky7^qbpGgAz2gt4sjW03tYxhUO>@u12SO#1`2<yTp_N8v36U6udwx6bSR%`wC~N
zFFfN@jAJ3eJm%T)@qvn2uKH&d--gY8+$%a;QpPcuyW5=m0bkqDdtTq!2WRHr+WiR7
z%{t(&7<cwT7O|khvCb*)%#&kQN{t=|1FQGEfBznP#qFu>TnNrF=IFo|j?{tM<tXu~
zhoFbFsuu8tNC+{RHFhMp#?|2byn!&e>dhNwbkjE2eb2xkX7AKTRzVtn3Mr#Rn%wFd
z&CAQ14<`atSg%3eqYiI(21dqwlx(P~sYU)Naj|VneC$@%_9OdkY1@;Qri`Ap-<e^$
ze??(@N$K@qKC|%lYhv9FS4Zp{I9k<U$V|Kw1_H-03aB!WzPvK_1+D-w7U^e<NWyO6
z{Um$^IH6P`>D;|1)wU;2^a2!v48IN`tjx)G{0L~Q5Qz#6rlh3wL(*<*A^R)o%j3NU
ztb?gD>hqaX^K>PQtW0|u_vWs1r!d{DlexKJ#PdaFCq$`I1-tn9iT839H0H2UJ9to<
zMO#C)5bXl{+|fi1O~=jx%_6PT0B_U-WqcR`*E(fVr``VPQzEurVnJQ8Fs%vcLn8Do
z<N#;m<_?Lr_&u>Oi0M;@Ac!cMkm7TJ9VHdRMA3S32Nz;COTa59+j4lx_MEzBF}>lt
ziKy6G3h6?C0ar==_z*|s91wHTYka_F>p3Z!+WpU?Pkt`n$#-FB6M7h+tt2)$1Fvzx
zkp`uJjD8|MK@`Zw&W@wxYj3X)f>Rq!$5XRhu(EF3Wp3}5d;V3WLgC;Kt6^#%dJ5aa
z{15f~^dE!|uTzN?{cM^`@+yo&CH#p(pFG)tpl}nqQ)q|~n>1h&G(5b#Q_#){h>Me2
z+A4&4?+|Aa6T~`FPr%FTB%X_T85kVA4+ZqFVZOmF?`*j+H$}gCbwFe!JK7J>poIi+
z+yeCGg&?poZd>M)h6Y+6a_T|1K-!x@?nYFPss|2`CLWXqaVXe%v5(yaAb~FM5l4yL
z17wp&$A4;}J4f!MDUdf>D5S(@?*mF4|L*-}*DNl-ps{p)=3<KnC4qWw$LR$3_hPgv
zR@;1X3NQ33erO)9xN~PM0+%po`>V03;9OLNgdSLWK16H|Esc;fu0%>nziL$#4A$NO
zX9tRD)n5~Y6WjmQM<#SSxp$Vfi^$&bkm}H`pz-i}V!J4AocG{$KK2mPuT!u86z)7?
z+xK>@+;;2aFl}ir-$O^zI%rJjmuF$}gsvtm8(2vFK7v!y3jtd?XH!C;!||8{s1k{l
zQx_?GhWl@k6yLsmt)Zb|UA>wHN_5t;u&~rgg#+q9LPxD3a<b4AJ4*EljnFkjsD!Qp
zaFW(i><FR9nR^6%BLR;XIkMgjZlDeRHvhP|Sn6DS{Y8WKr8H?jc|=3j3dbLl6%<@C
zGcyDCwCriFE=`_Ux429<$rcbZ^lTf5@#;j{_{Gfvs&~3JUODY@V?W#O1_2tSQ-!AA
z-zNne+PK9HtyY=k<m7BW&mwOl>!Gf6@$#QBc|7sGBL3(~VuSq(wt7-}7AP@+m37EU
zKCj9z^{d&cu+~T?0y3LNw&$iDeo#^&>++eWwe{<ga}<7n)aU^uR=~paBJ=g#B`Eq{
z+OuvI$p)U|Ex!_$7FJ?<JcXlVhWzLVZ<Wl4M#H|}Jq!8{Ef?Fua7e^!q<@68%`Yj*
zrtoto9=$~_X$N~V9`(l0E*g!{JuiO@<@61RkI;xC^YxQ09%IPoSD;#JBi^ps)%a(B
z#jTaHKHYH}MMnJbPcj<mV}dtk3|EeL4y1MB+sTkaEvakwE-eE#gL_r$(7X0yOGWA?
zhhc{uLD}KxIftebG}!lEfQf2!vf5PExws|&SJgA2{FYk)IHCKs#tN7Nf{o6ulcq`>
zE#-f-tVfdm9J0>z^LT#wY0s9T-DL?|iWH5Dxwi`CtIoc)Uev_=^9M{&1>|v+xGuAX
zhDJ4HFEWm;;-80(+^H_p31c6TW4k31685{T;?l*}343~u25fbBf{E_vG%23=JJchA
zORUvNKtM0d`Vn-z<mJG17Y@qgrR!I<g><*Yiz}4jPmPd}P^&GEs#YCPpfgZ$X$Gix
z)KHiiEd9LwWErgd_O-8*3Snlb;aXws=iM%FJh*tL$m+RI&Eq@;QPsOIX~o-qn@d+i
zaY7W!)xfkvB6n(nUs_RYBv=`5nT$8Tr#qxNcO{d9SKfWZO|vIUZ>84nDd*Pb=B<GT
z&Fd%qD!$!xq+7pdSC*N3;#peDi?h2m9t6<Q1qxsN@Zd{2=ZgI3g<Tryf*w4c*$qui
z&mCM`n#y!2lN&Wx9=Q{7G+_Rj_UwL<7R!lKf#R<gHsl5c4wuqr8y}abQK65g+@$Lj
zV_WDp4Jc`OVPIii%f=;Uvng=h12vBxvC5B*i;+cg{mX;Hgu&5G+BSIXyPa*N4rP>T
zh(GW8zK6nF_OePa^kn_eGjdc4f2VL(ekf0URs7l&x?eB#aO~LrpcV(yk<KYHtg`xt
zt%K6uuj-KcsOD#&akygOCj+a<xcXUxb%~qWJKwXcV%x1@6p|l$z1mc`UBy!GRgOUA
zjSdqp*KeH3x!GRJ&qEP&pm{DZ?WXalpRbErP!hE}wK3z(bgBwD%JC#hPY&<H$Bv5k
z^JqTk+E=Oza$XBQ;4k0RF{4DurtXj6Te*8<ie$69GNhKO%p2|)3phlicyC^9Y|<xA
zvDe=fcUMJZ9m6}R2A#N^NFP=Gq2jwjzB&&r4OCng?;kz6wQ@VFGUEe5AMPUxX+9;@
z`@9Pfvlxo~yFJ$B+hYj3#YXLITbGl#&Ms$4FVjIOrB~rQ6R#Y4Tv9TR#%@bo=w(Qz
zrKnG^W^zcpJ4V|i+`ED5FMTD4uO@Yk2){N1n;y4BJ-NVN%NN+ZZ>I6W$;odFf09Jk
zsZ8Dw-a{L;<z}JNPnLXF&uX*eJbKEbxu;%65zo1d-d_}|3r-5_J+wmEufJ_0Wr*rN
zHS5;BW=^vcXd@tyv3mI_&OA1}w|-sk6Wow%TUR?Z&5oDCkA1(@**Cu_3zu+z?!}nL
z&amqN>zcvT)_aSe70yNrEa>{!N9?2cuuvYePfAhsGtrHjuTOj1Z1Iy^XcSp5T+eR0
z42p10>O_2$Hxya7m$jm9wb)38V9}HJN;Rz=8yJ}xZq080rE})Kd+X5D>$ty9_ES9(
zUK~1mi@9IoRvJW%Y%M#;)7^5d=H*I?Mg5gO4~HY^mbTKJpz>P3*Y~8f?bwlDv9-Qg
zo7hbAwIx+^k1n2CnKW0f)B855o=%C!bRub5f=3jeqgyBwB$z1FrycU`EG7O3tDr*1
zXBHX(?+D2)>U=9FS5Vdq9}bz;`^rSuVp*OQ`E`DUSEBxvPrEhx<Y;>sSyR{be_Hav
z1vOZHH%1fZz>I3#-@VYA##6q%3O@UiCx^K9c$A(v)^2esrJ(kBq@|pXmZzuJ`Q#f7
z`DRZFw~DJP|Mb0j?)S&tD<4Ss>=51}%&+Yp7{-;7W2~r+=a4upO|DPS>v?&~I%n1S
zOo>6~8<7-2V@CetRCikEu=Vj+$34y5lf8$M`eE^u)33l|zwS5WxucaLTnovxbx_qe
zpi$78SLe%nTy2W%#H%Mm_V44eT+xhJiiFrcvDQQLUj5pPW7{cwH2f6pe(fu!2WVI%
z8TD6iFh}5??ulcpRR`I0ALe_R_|#I~axvX)UYD8`vu<mSoSN5fjA;|~5G}tBRe<L2
zk2xEH2ckGTV#phX$QvW+!|%M+2>3<$O@*cl)d!U7g`fGqczhS8YBMX|Y53?TPsUOA
z|E&D`Cq|Sk+%!?Fj=&7*3jxMEl?FU06ZALJd|v7P9bT_lZ+j}~T%bV+$B?;$Xo3o5
zRAV-^@Nr#nW`e=<V~U0tF9&6^HOG8^J5<L_<wbpW<6uD39Ou{-|FK9rMQ$cx*~q4i
z6wV_Vdz?Hu{+7Chiat5{00Y(h0MkGq<9go4+Pa(9<<<HmsQTU2=sOh5%nRJje!XwL
z)Ssfu>6*GHd!x@vsxP9wD{Zcr?uk74T>%e0&B|(xrmFkueY3CDCRWi=oG7our;TF8
zdG#)xGrIE0p6Uth85)L_?5sw{fi81?6ihn<|3l(z?|0qf6bmo%T}}0xlJ_EmzQAy`
z(f6qE%uT|nd&V|WwMUKXi1`PaDDAWTcW)WT$-Q-__PW@nZR>TT8kJ?(-ZqzR9u=Ox
zTjStCuMd{e?!qp|imIym?4L~BN_3lf8)bKcLuADB?aM=)&KFM`nAaaF96&hs+3Gtd
zuKTPdu3Mj`Zep#yl2~~rZ2@ijO6HVYG*%%u9b}l<y~;9T=bx`Zyi6K?UrWpzb#={Q
zThX^`B^DsPqvp!Js?D6IS@caP7OTQ;nNwP;eLg<SpRVKDQ~2pae#=(q5C9*iCck)~
z7;*1jFw$6KMJ7BW)g4hRK7na6CIh)FrtA;b`?Lrcv#;5FCE<zDClf_zSOpU6d@(?}
z%*S?_4XVv&%BxCqR=$vvQ{d$ivx*8w<6OLZ`QkNO>C*NastqyoAEnLQXFbSW)Id(=
z?u}&T6{bBhFkIzrwf7u1_rf}^&3c=vRh-Eb8>hm;NL0)d+AFxup*PznjM|%TO$d$E
zpGP6d1NeFYhm&NeTW)Dx7CjgC`~o}OPd%TIDuyMNZYegaJ;7ngHk-+B2`kjHu<7!K
zFz9a;c=BP%fvWl;>qDLTgp{%9Qwb~6Y@))mD@wek1V|4nWQUpoN52&T%tOw*3Gpfz
zW|+0@P1t=Yv~vkv;7HnCGCDdMimb9fzn*V<<^tH#wWXz{b%O{{ZQ!zo{!>1$E}z?&
z`Xn%r9(2oN#Z)!4I<#rWgFHcnLvj6J?%$>ciWFPd4q+aa@JOBGtr~8c^@bZsbcJ-|
zi96?PHfY&*4uy6TODJ_G&An7m?n_F1P}fAP+>A?Ilg}mqB^f~TH{ZfS*{tmBDFm&+
zLDySZeP#CH-LN4D`CZkgPbf?yMcda<iUY?AX1^*+*Zb&k&4z2XwGgoWs|N2QJWX|V
z)fM$GAKm0E-SGIh<n_9Sf+&`Bxs!#T;z++5HxTp(f#0gBenF-Wg7UTNtfr36dVHE;
zOfu5iK#N?d0*l<XMqHDacY=269pvf-jo!UiR|3$k8!h=)HrjBa8wA^C;8k^lD7Jrz
zmN{B8#N-Jj9<Pu@SlE_BhwvCl`5g}kXxPKlHzUX2zEc~mx;yfXz>cXsF_kE=!09J*
z8r#9+9myxMpMN^J!fVwTGuoc(H4Wi;&pv$m@X+M8cItkx(YWTm{(j%}7G6{U$|*kW
z?Z#kQcyR$|&Yi1w%zZ{jA^ABH6}zL?0rrt(m{JMEp>J@|A31zAnk50dk}eXJgnJ&S
z0AJvdNZ|uOJ5UK<e$oMa1V~W;pkQ=QAsIdRe*;rHusOHjIgK(ZOT_IIA1G#6fkoHN
zX-I|80}h@7W)W)^03G&bQPGSKj<S}OL}StiwArBUSUm8ahvz0f8y7kl3~pq=YGGr0
z-@VVqR{vnA+3KKM+z<cQ?z4#rPc4(krx3plP;!H4l|D`S@xT@ZJ$hGPne&61NDI9X
zkk)9yK?Lp^x{x?*0-SgoX1Z)_q@9tyy?yDWKSiYfc|bsbI6MPj-7yH_;X}IKR`Oub
zW(Ho=W?Qyz*8^NKh;C^&Q8NZ7E|A;;loMcC;a9vFvvVzSzYbKMCEEr^I0c2lkODfV
zwCcg)p3BE5FJT8KgpB(Z3aSpGy7^ThDQ+(R)q2czs$Z?tYbp_3?IBc9E6=ps7}SX!
zy{wrPc+ktM1gY0u9^&8<4QRgYOCj156zqPnhCF++x~VOGKP|ad_cG%q=lg(~gWkqj
z?#1qhXGbicN{g1<&<03P2Sd8`!ZQohd2OZhtGde%*}18l%V+UommUt>zD>UZXtWsA
zzy}6;!<?gkcvuv<J-I8)7*cdSh0YPE<1sny<TOZNXjC?nVFlV4yT$+c-`|-sQP>Wa
z8wH$-5ooz`-&mD6rA)t7ngF)Bzoxa-5F<z&A?n5;gkU>%?ATd%_jM>IL>sPKu)HI#
zn2}S#`uA%9<QM|pb#c9qL4Jv3QOg3eE4OtXA%;NWy*lD#Km5?3DV>QTr4@FoNw!k-
zS#N5uv5Boqh`iD7G#<@*qxGP%LtuljA^I7hfJ=Wofz}|QS_zEGM?Fae{?nGWwks%k
z#l`i|)%>TCq5uFMB#$tRFLNjU`ov*gD|`Tp0GDJ9FC^o~CsvUb>*(cV4MLA|r|YA$
z&%yX|E{y@F0W+%6n3eO-{<{}MBta8MPe4@XGm<hrVse7TPzmJ~B@g>-`E-L=WR#Ib
zc_dsPsqu*HA3Gy=v|G(dHcO-Stx<t#e8;}!hM!aL-5OafE_nCo5ub#8vziZ*2QnCe
z5(|rpZj(%aAv9o*8mw31Ee{XJ^`yJ1(eX<wFuDVmp$VzPU;LqN!|NZ?e5VYOG1A|S
zbaZXWGy*&j2rXMbu7OkG3_nnhVASY@@+xtlWVaGDN7$glj-|yrBIka;H#D^K;N9)b
z3Aq{cUUE5(Eg9^eQL2uP88E#t$}FGm&pxQ4LIrHc7cC+ZFQ_2yG$A2g;sr^8eH&Wm
z(pwDoo}&b)_Qm#cc5r*{RWwyB`t<1I_dLMYlu95uc^7A$3G5BP_A2@!qW38k<v*aP
zj4t>842s?<eYih>v_=E2e?5>N_XPNpG%SUJWeNh70kEN@We42zUb$~)PtQ6`$;;1|
z*>L1LumQ9QbS!QBACOF&>72HaeCt{UH16%z8*x^HVaS=WPqMhP0U+cAD#Ru(jlBHM
zBC)BP>aX3F3q2fHh(9^71G!3jIj2^I-zwN7bDO*DxBzmZW196R!iQ&qF2S1s-YiGR
z36k`lIJG3_<sCuC4Px8b|MjcT>Rmr?0<42;<z1}!gTUPb17E{Xi1HG^idI8+`S}8H
z8yXNj*3{Lh6MGwgM2R22e@Rb`UxW1o%08Fa{-K^rLSSjk#`MDhL)9&4@Bz_^9u}nl
zX;6zP@N)fe?@j-l+z;@buQ7hx-AMX?5vK;6>W=^-qZ5Y!lm=1wFW0PyOK{wWjNmrZ
zAW=9;&EFlA*EYhp^l$^&zg}HVK8{l=dwBB>>jboI!mD~+c6-2hbl^?SSJ<cTRQ(w|
zq*<>YIlLu5S#axCO@JFQzc5ARVrYKh6sg;36D@H}2vNphl+iZp2~0<=R&FM`ofl`a
zfQBW0a%(cwPdPZXkdI!DcG1bWVXP}xR4Z-UyjEV71mS5Zvcadg5y)rcUHYJwTjff*
zOsRM`B6Dt0+T+ECvylffTgKhp+_+nS&X_8x1KcOL6|p8AxUr`W&((3v_(VL+W8kbo
zI?tAW;}=Nes@jd%jJbVyuZK*-@fCZeIVvs1#O|*SifrR<*jy(o@vl8%9n3%PRw9^_
zJxVTx>uMUMaJv{|H&yxSs?N7>6?oTdej(0lWd37jrViwfG+ePX1NI@7FT6%V$Iba}
zp=G>?hIBSe(!-DZFCW+DmHSq|+#D4ihWV71LN+~z6X4Un2w#ysw91?I<mL<a84xkm
zBOKPOhfl7m`*RWn${uy3*59{M>8CD3K}2uU4A*_;@LPvi`zT5zaj=|HzaE&j>Ta1%
zS48#kh<(C7FEskDU@g{^g{ok9Kx%Lgj=rYrOMxLS1u!>H+}*%H2d1S5tZcHI^lZMY
z=IYg>=!jHt$n?HRvl`Yg=TX|d`>$-W{<DOpD2IR>H=0gr*6$_l<H<@F5>`-;*R4EC
z=~m6NpmoV+)Iar~cz8K$x|c>Wm@{kj)bi+kn0;z5D0!ECJ}`JpQ4Z55F?ji&`z=~E
zepGvxvoL=R=GXFB;kcN$N+alBL|ev<FA<=o9R4IWmX)1<MC2O%88fE41(HWD*?%t~
z3sJ)cp{A-(%J>~VE@loI&J-VoIKJHMjVXVf{`~@lMBe&WmHhTxqV3fc_Fh%B09Nu}
zT%DK_hG)ZOaFQSru6153#A)BDP&xi$n8*bzB*Dv#P()U1dFE-5Fk6yWMetP?ed`N`
ziLB+U<TM%bC*(E+3L+0T(pWyEHx02wqu=7T)q3*c|2}|u`2#*-i|FK#kXEC0p*gvU
zLAR*#;*}qI>Hi)-mpr*j_onI@jqP!=cB1~Jl+%&DYr|xBn=EGi?*5RE3(*~@A=ut{
zXQSyU3*$f|RaTZt1{{fen)7#M@bhH|0<m{B%RxpzDyg7ec8a7x`-646zcdrjNMDak
z9^J6mMD~kXR4Kx}9+cH0y_$Y>8*^|gPu!PpC6A<?iKg3;>lU88sw;4JWv>i<#d`lH
z#ZOk}uHE=xqPQCm&cSQ>qvGg4OVLEq6>Q>M#jmx>(9zwv;zEf=@xM<xvwVmvvU7>W
zG5N+Y(CadI3bc!JsZQ(K;1jm3B+vD6U{HSl$(4uKR2`=5qS_+r-*VmiwE1#=Nxmi{
zfqc!aTK_tYjeb;C8dlVlXY@r5JB**z=?I!GPoaM)sP40~_QCP_=S=ONQQfD?d#`TQ
z4LCW&{{@nw#0x&;5w~bo{jud==gTh5;KS?ljLZMm*lD&Gx5AJv-;-RPA-P(i><5ln
zuA|kXFwxyi^pSB~Xi;GdAnT5!k_`MXbGG5rwY3ttgAG?{B)@m{om%7`Jz^YiOV<`y
zw$~or71@RtS$tBH2OcP%{ajz4`ZU>(-{EzZ1TQjd-BW1YbrN*|{+%0FQrxpM&!nxv
z;sZHW<j%?LtDck(QM`X_Y;5xWho%uxQP*+GeKJ;LNvsQBzI-uHPtTJdQ^Jy8@MoM2
z4-e1k3^N1u>HN9;)OYDXu3cftG|Q<ChITy}TJmy`CgVq5|068SMDAAggbbT$AO9Up
z3yFmnD%k!$KyQkktwH#|V~P=qKVEH3=tX2a=v+`#REIL~6K1<F{oVogj(AT!0OwNo
z3*_HWYc@9=nXRV(f<M~_i3AEf3)gy!thK3qZz#RbXVt3}2Wg~BTUUSb$#ag)_+G{f
zijz<{!0j7Kkb5#HDJc<2-K?vrs=g*k8*wS9(al3!X3c=JJuo#~m2K$QT0!SW1?mz1
z0T|t0>Xv%eB)2Vg^bf#;es~zYKyP2`$A8J6AOxI(ETHkkB7*Udl9G}?N--LtpEnh4
z%HO7}U|95t;lrl(N0cixl{;l8s>{rudi)`8!+pOA9zj}xUNeCvf7a-BTWMn6$a>)^
zv9f`-Nqk*|XOaj7=@AWsOeBSe6_k|rC&?^6YqON*mz8CQ1Kr-z2{gVyw4@F_=o`@=
z2uVPZ?GQ^rh4{d8(h3v@9W{O?R?vfB3&#XY`QP6oL{tL72qCQoW+31rcIR_oF|C};
zFBYROSmL4K8&s4!VgFUsPxPsIDctL>@Emnq>9WPRSgXaL`)y<6epKv^&o8R#Km9j^
zQU9+dggyt)<`hD+LY%jdOcELtW&X4e=B9LzQ^0kP2gnMTs9IQB-;9hjI28jyzdDrK
zaDTjt9GQl)dtq`vEa$lfo?h(W0U>=I8vM^0-mbP33O(N;RTX`Be1oOsYRV>!-a>Ff
zLj?B3bnu>|Y3NTTfE<SwZ#`PaBI^I0VivLYszk1xRk!4Er?xSqSR~AbYOV%uX+hAL
zf7aXizYjwzQX<g6uoy!^6o83qi8#*q$w@Xsb`r*r__*K#-=n$I;k(jQ<gd_P<iRYV
zy}g}(_ijEE%yP<|=ET#PL{)(miY17@4Kh#}Sm#0IM1?%p7>ZWO;}xMu>#bl=Mt*_x
z4WjIY0XPevav(0MA32E^tfMBOavspR@>|c}HXh+TLTlsamv_O;f<pQH`Lj^A$vLT5
z8-!jkI~PEVCXEUP(hKR%)}`XkQ<yhXFa@@Ph?}JGkaAW1`77=_8<I*#zsCO%-GjC3
z7}zZ@+7~zpx;SCuy)>@mb3wB0OihO3p91ITT)7dTHpOr@y9OOkKWbvCk>5zeOoPZV
zO=Z^Tj@c|v`IGP$3BUu2zc4I9QUe(o8EH-?Qnmq?Qa@0&L=21lh*TxOpoAq(J78|k
zi&BZ?i4>JofBwt|<)Mm|)g}wf_&|DK1>{R%qPAZZnv4(#N_bE^1(Ted{LnQa>!q$I
zC2fX^H3VrOY4{ZxWx@xA_MHP_6Baod5CZ`P5z@X-Pa*0F{2AY4_qYe?TrYYF!rdgs
z-1EG9-oAsOS%wVXRQsGLapR{m#Lr5kP*%(Z_14$@EqmZHqTlV<Smu;bG~x+S0P3xR
zh`l(h*(*W%_l}L3XKxEkbIudQKF^f}C?pZYc%3aoeUMP|a)r_1hKQu(!TXc%U;trk
z!Y+TUqqEZnRu7~JJOpr{(}_%sh61FAxYjHG9!e6bpZdS0|7yLCoo}D&BuIN|;qh<A
zx96~#)t~5riRA-?-nM+NvRE94*amZ}eP<i%1ts!@wNEhW8VHE_Q1ZF_<tKLf(Dhqo
z_EgaFowObQo7HLC;@M5i1<8ZF;{gTL^QFq5w7TUpo=yx~76R?Oe35ax^Uy57c94zq
z>jI*3299<%ni}wG3!M-<|8p9eh--d+G^lx?elVy03|k-^U$(JC!6!W!KI5eA8WdtR
zAXRVT<U;Rg;`|7otU6cCJzORq+VUQ6b9{l6a|+&w0>Z*COPsMx+DW$o?nO+=foHRy
zUtod2^+e}^fmnfC);6H1KPUne)x#mT;srRJDElJ!De1?*`)oRpx@Ka&lDVd4qT-{`
zv$iYw&d~;)|B)HR%bJ|~kId-xDpuXFzJVGN5Px@99H2<T8KD}LB{C=tFe`Ok0jU5)
zp|ljp76yRJ)x}Ogm;VAY7l#@rwCz)Lmmr~lYi=c!NSg$3zxz-}fQfM(8be}TMYMCs
z5Mh`@?^kuiHZ(GF6$Ny9or)`^_df}ze`6&4ANZm7@r6jzeY~q<jsZFVD6L)KMwIdT
zBEbpB{i7sh+X&~^xvt}j_F6u{LvvE@>#F$KRH<LGuAn-iZ?n>&hV1n2-4&M?713Dq
z<TL|4eI+Pef@cKMLlu1n{)+|u1OrYK(m<52eChX-y8{FygU5shQsR=QPeas`ZUH;c
zw6c1*j-CA#N}g)pywM`!lvNB2#Fukwa`NVvFDKa8;4Pd(xrtpMHsUGt+`w-lu-~Ja
zA`IOENJCT7IGnUEEh;MdQ0#J?q=#sHV5+Kmd46y`6+ejhI#(piCtxcZ86_e>JXC}I
z{QL;wga8F76X|prI@tBhtpCd2Z&yfSEHr}B1=50i&>|NLTmx{J@v&nehMBS*p2N)|
z`9(!h@7}%3kbD{hz~Vj7Vy!!R7vkFi;qpE{{&SOzHGTLkiNa%<!vQeO8}EmH;Z0di
zR%hX{;_U3~6}2CgV#*09MtWf)D~C^503L`5tVmsyjojcqYC=3#eh57zP+Q{lT*X7D
zPeE0F`}Xal<IJ||>etWCBZak==0xZOF*9_Pdd}wo9l2tulwSCi@#=zK6+dw7NXXSV
z8)b~t(2oO7s0Vd*bqgCZS7+R*iIS5s<k@firKw8hvD6NAxn_0q3>Wh6b!FzWfEWe=
zZliyz(b()Zl1>OXSdYs>hyY}Hr}tbQs!+6`i5xNAWoUCQ7Z=B7dTPypTbJXSW4u|N
zQT1EUmpe~~1S}%(T)eyMq8v^mf9S4`Dc%>7sy^^toOi!XRhgEmmfD@UUw4pjUPBiR
z6fD^xe01P}=0KMHKRBa6BAp+JImt_wljJVsl~!d*vi=MsJpP;a?m2vye#wN;D2nBw
z3M$fUyPdxPOO@cI*1hvDSdK*ZK4jT-AFNnggt0<MOpBufDRE)$%MVnn|33eJ@xL*H
aOEjNd8fzJaVp=G89a7U)&Dm$^`@aEB+kx)@

diff --git a/docs/manual/classbayesnet_1_1_boost-members.html b/docs/manual/classbayesnet_1_1_boost-members.html
deleted file mode 100644
index 838f630..0000000
--- a/docs/manual/classbayesnet_1_1_boost-members.html
+++ /dev/null
@@ -1,191 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_boost.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::Boost Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>bisection</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>block_update</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Boost</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>convergence</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>convergence_best</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>featureSelection</b>(torch::Tensor &amp;weights_) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>featureSelector</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title) const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>maxTolerance</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>order_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>select_features_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>selectFeatures</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>threshold</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>update_weights</b>(torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>update_weights_block</b>(int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>X_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>X_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Boost</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_boost.html b/docs/manual/classbayesnet_1_1_boost.html
deleted file mode 100644
index e0db539..0000000
--- a/docs/manual/classbayesnet_1_1_boost.html
+++ /dev/null
@@ -1,845 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::Boost Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_boost.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="#pro-attribs">Protected Attributes</a> &#124;
-<a href="classbayesnet_1_1_boost-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::Boost Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::Boost:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_boost__inherit__graph.png" border="0" usemap="#abayesnet_1_1_boost_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_boost_inherit__map" id="abayesnet_1_1_boost_inherit__map">
-<area shape="rect" title=" " alt="" coords="111,226,227,252"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="5,300,157,326"/>
-<area shape="poly" title=" " alt="" coords="144,264,97,302,94,298,141,260"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="181,300,336,326"/>
-<area shape="poly" title=" " alt="" coords="197,260,245,298,242,302,194,264"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="99,153,239,178"/>
-<area shape="poly" title=" " alt="" coords="172,194,172,226,166,226,166,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="100,79,238,105"/>
-<area shape="poly" title=" " alt="" coords="172,120,172,152,166,152,166,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="85,5,253,31"/>
-<area shape="poly" title=" " alt="" coords="172,46,172,79,166,79,166,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::Boost:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_boost__coll__graph.png" border="0" usemap="#abayesnet_1_1_boost_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_boost_coll__map" id="abayesnet_1_1_boost_coll__map">
-<area shape="rect" title=" " alt="" coords="118,241,234,267"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a54bb9e01bfce0c4a3f3b1ae890d1f646" id="r_a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a54bb9e01bfce0c4a3f3b1ae890d1f646">Boost</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2590c3315a7a6d40c5a5dffdd245bbfd" id="r_a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2590c3315a7a6d40c5a5dffdd245bbfd">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
-<tr class="separator:a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:aac58b795401b3b7455fb2ce0831460d9" id="r_aac58b795401b3b7455fb2ce0831460d9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aac58b795401b3b7455fb2ce0831460d9">featureSelection</a> (torch::Tensor &amp;weights_)</td></tr>
-<tr class="separator:aac58b795401b3b7455fb2ce0831460d9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a413f675b6c2d72515a0832e125f48fb0" id="r_a413f675b6c2d72515a0832e125f48fb0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a413f675b6c2d72515a0832e125f48fb0">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a413f675b6c2d72515a0832e125f48fb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a79e4c58021af69e26126c8f58d1c3b29" id="r_a79e4c58021af69e26126c8f58d1c3b29"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a79e4c58021af69e26126c8f58d1c3b29">update_weights</a> (torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:a79e4c58021af69e26126c8f58d1c3b29"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abee86d771210899db79678a2f31823cf" id="r_abee86d771210899db79678a2f31823cf"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#abee86d771210899db79678a2f31823cf">update_weights_block</a> (int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:abee86d771210899db79678a2f31823cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
-Protected Attributes</h2></td></tr>
-<tr class="memitem:ae19dc6d4d70c74baf8b801a22a935a2f" id="r_ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae19dc6d4d70c74baf8b801a22a935a2f">X_train</a></td></tr>
-<tr class="separator:ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a023913d253aeb83dba60a15f61a059a5" id="r_a023913d253aeb83dba60a15f61a059a5"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a023913d253aeb83dba60a15f61a059a5">y_train</a></td></tr>
-<tr class="separator:a023913d253aeb83dba60a15f61a059a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3945ec0bb41206b421632fc999eb7252" id="r_a3945ec0bb41206b421632fc999eb7252"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3945ec0bb41206b421632fc999eb7252">X_test</a></td></tr>
-<tr class="separator:a3945ec0bb41206b421632fc999eb7252"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a88de19ffafabdcbc0cf8866d5c059138" id="r_a88de19ffafabdcbc0cf8866d5c059138"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a88de19ffafabdcbc0cf8866d5c059138">y_test</a></td></tr>
-<tr class="separator:a88de19ffafabdcbc0cf8866d5c059138"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac8a53b6bdb07aa4f8bfe43515da8228f" id="r_ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac8a53b6bdb07aa4f8bfe43515da8228f">bisection</a> = true</td></tr>
-<tr class="separator:ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9ed44d620c1f2e5c06c3695585e40860" id="r_a9ed44d620c1f2e5c06c3695585e40860"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9ed44d620c1f2e5c06c3695585e40860">maxTolerance</a> = 3</td></tr>
-<tr class="separator:a9ed44d620c1f2e5c06c3695585e40860"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5b4a91f940ebcfd532c73df0018acb3e" id="r_a5b4a91f940ebcfd532c73df0018acb3e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5b4a91f940ebcfd532c73df0018acb3e">order_algorithm</a></td></tr>
-<tr class="separator:a5b4a91f940ebcfd532c73df0018acb3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a71e17067522a19e6d23ab503aa7cc16a" id="r_a71e17067522a19e6d23ab503aa7cc16a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a71e17067522a19e6d23ab503aa7cc16a">convergence</a> = true</td></tr>
-<tr class="separator:a71e17067522a19e6d23ab503aa7cc16a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a985df40f71dd9a64d0fc9e66ed41595b" id="r_a985df40f71dd9a64d0fc9e66ed41595b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a985df40f71dd9a64d0fc9e66ed41595b">convergence_best</a> = false</td></tr>
-<tr class="separator:a985df40f71dd9a64d0fc9e66ed41595b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a57bf7c3a220afd538287f88be41f463e" id="r_a57bf7c3a220afd538287f88be41f463e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a57bf7c3a220afd538287f88be41f463e">selectFeatures</a> = false</td></tr>
-<tr class="separator:a57bf7c3a220afd538287f88be41f463e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1dd29281582d7815c7b3302d61492bde" id="r_a1dd29281582d7815c7b3302d61492bde"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1dd29281582d7815c7b3302d61492bde">select_features_algorithm</a> = Orders.DESC</td></tr>
-<tr class="separator:a1dd29281582d7815c7b3302d61492bde"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:adb59196a4e112d4c1921d78766d7b966" id="r_adb59196a4e112d4c1921d78766d7b966"><td class="memItemLeft" align="right" valign="top">FeatureSelect *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#adb59196a4e112d4c1921d78766d7b966">featureSelector</a> = nullptr</td></tr>
-<tr class="separator:adb59196a4e112d4c1921d78766d7b966"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1cbc839445860d3e4c8f5a11359c58c3" id="r_a1cbc839445860d3e4c8f5a11359c58c3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1cbc839445860d3e4c8f5a11359c58c3">threshold</a> = -1</td></tr>
-<tr class="separator:a1cbc839445860d3e4c8f5a11359c58c3"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b290f030febf39c41ff679990d9cf4c" id="r_a4b290f030febf39c41ff679990d9cf4c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4b290f030febf39c41ff679990d9cf4c">block_update</a> = false</td></tr>
-<tr class="separator:a4b290f030febf39c41ff679990d9cf4c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00027">27</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a54bb9e01bfce0c4a3f3b1ae890d1f646" name="a54bb9e01bfce0c4a3f3b1ae890d1f646"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a54bb9e01bfce0c4a3f3b1ae890d1f646">&#9670;&#160;</a></span>Boost()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Boost::Boost </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00013">13</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a413f675b6c2d72515a0832e125f48fb0" name="a413f675b6c2d72515a0832e125f48fb0"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a413f675b6c2d72515a0832e125f48fb0">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Boost::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00071">71</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
-
-</div>
-</div>
-<a id="aac58b795401b3b7455fb2ce0831460d9" name="aac58b795401b3b7455fb2ce0831460d9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aac58b795401b3b7455fb2ce0831460d9">&#9670;&#160;</a></span>featureSelection()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; int &gt; bayesnet::Boost::featureSelection </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights_</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00102">102</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
-
-</div>
-</div>
-<a id="a2590c3315a7a6d40c5a5dffdd245bbfd" name="a2590c3315a7a6d40c5a5dffdd245bbfd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a2590c3315a7a6d40c5a5dffdd245bbfd">&#9670;&#160;</a></span>setHyperparameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Boost::setHyperparameters </td>
-          <td>(</td>
-          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters_</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00018">18</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
-
-</div>
-</div>
-<a id="a79e4c58021af69e26126c8f58d1c3b29" name="a79e4c58021af69e26126c8f58d1c3b29"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a79e4c58021af69e26126c8f58d1c3b29">&#9670;&#160;</a></span>update_weights()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::tuple&lt; torch::Tensor &amp;, double, bool &gt; bayesnet::Boost::update_weights </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>ytrain</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>ypred</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00123">123</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
-
-</div>
-</div>
-<a id="abee86d771210899db79678a2f31823cf" name="abee86d771210899db79678a2f31823cf"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#abee86d771210899db79678a2f31823cf">&#9670;&#160;</a></span>update_weights_block()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::tuple&lt; torch::Tensor &amp;, double, bool &gt; bayesnet::Boost::update_weights_block </td>
-          <td>(</td>
-          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>k</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>ytrain</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8cc_source.html#l00150">150</a> of file <a class="el" href="_boost_8cc_source.html">Boost.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Data Documentation</h2>
-<a id="ac8a53b6bdb07aa4f8bfe43515da8228f" name="ac8a53b6bdb07aa4f8bfe43515da8228f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ac8a53b6bdb07aa4f8bfe43515da8228f">&#9670;&#160;</a></span>bisection</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Boost::bisection = true</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00039">39</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a4b290f030febf39c41ff679990d9cf4c" name="a4b290f030febf39c41ff679990d9cf4c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4b290f030febf39c41ff679990d9cf4c">&#9670;&#160;</a></span>block_update</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Boost::block_update = false</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00048">48</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a71e17067522a19e6d23ab503aa7cc16a" name="a71e17067522a19e6d23ab503aa7cc16a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a71e17067522a19e6d23ab503aa7cc16a">&#9670;&#160;</a></span>convergence</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Boost::convergence = true</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00042">42</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a985df40f71dd9a64d0fc9e66ed41595b" name="a985df40f71dd9a64d0fc9e66ed41595b"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a985df40f71dd9a64d0fc9e66ed41595b">&#9670;&#160;</a></span>convergence_best</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Boost::convergence_best = false</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00043">43</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="adb59196a4e112d4c1921d78766d7b966" name="adb59196a4e112d4c1921d78766d7b966"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#adb59196a4e112d4c1921d78766d7b966">&#9670;&#160;</a></span>featureSelector</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">FeatureSelect* bayesnet::Boost::featureSelector = nullptr</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00046">46</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a9ed44d620c1f2e5c06c3695585e40860" name="a9ed44d620c1f2e5c06c3695585e40860"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9ed44d620c1f2e5c06c3695585e40860">&#9670;&#160;</a></span>maxTolerance</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Boost::maxTolerance = 3</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00040">40</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a5b4a91f940ebcfd532c73df0018acb3e" name="a5b4a91f940ebcfd532c73df0018acb3e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a5b4a91f940ebcfd532c73df0018acb3e">&#9670;&#160;</a></span>order_algorithm</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Boost::order_algorithm</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00041">41</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a1dd29281582d7815c7b3302d61492bde" name="a1dd29281582d7815c7b3302d61492bde"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a1dd29281582d7815c7b3302d61492bde">&#9670;&#160;</a></span>select_features_algorithm</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Boost::select_features_algorithm = Orders.DESC</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00045">45</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a57bf7c3a220afd538287f88be41f463e" name="a57bf7c3a220afd538287f88be41f463e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a57bf7c3a220afd538287f88be41f463e">&#9670;&#160;</a></span>selectFeatures</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Boost::selectFeatures = false</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00044">44</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a1cbc839445860d3e4c8f5a11359c58c3" name="a1cbc839445860d3e4c8f5a11359c58c3"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a1cbc839445860d3e4c8f5a11359c58c3">&#9670;&#160;</a></span>threshold</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">double bayesnet::Boost::threshold = -1</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00047">47</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a3945ec0bb41206b421632fc999eb7252" name="a3945ec0bb41206b421632fc999eb7252"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3945ec0bb41206b421632fc999eb7252">&#9670;&#160;</a></span>X_test</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Boost::X_test</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="ae19dc6d4d70c74baf8b801a22a935a2f" name="ae19dc6d4d70c74baf8b801a22a935a2f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae19dc6d4d70c74baf8b801a22a935a2f">&#9670;&#160;</a></span>X_train</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Boost::X_train</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a88de19ffafabdcbc0cf8866d5c059138" name="a88de19ffafabdcbc0cf8866d5c059138"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a88de19ffafabdcbc0cf8866d5c059138">&#9670;&#160;</a></span>y_test</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Boost::y_test</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<a id="a023913d253aeb83dba60a15f61a059a5" name="a023913d253aeb83dba60a15f61a059a5"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a023913d253aeb83dba60a15f61a059a5">&#9670;&#160;</a></span>y_train</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Boost::y_train</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_8h_source.html#l00037">37</a> of file <a class="el" href="_boost_8h_source.html">Boost.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_8h_source.html">Boost.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_8cc_source.html">Boost.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_boost.html">Boost</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_boost__coll__graph.map b/docs/manual/classbayesnet_1_1_boost__coll__graph.map
deleted file mode 100644
index 4321386..0000000
--- a/docs/manual/classbayesnet_1_1_boost__coll__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::Boost" name="bayesnet::Boost">
-<area shape="rect" id="Node000001" title=" " alt="" coords="118,241,234,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_boost__coll__graph.md5 b/docs/manual/classbayesnet_1_1_boost__coll__graph.md5
deleted file mode 100644
index 94b6c47..0000000
--- a/docs/manual/classbayesnet_1_1_boost__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-33c55f91c7a5aad7b7e8fe161de0b44b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost__coll__graph.png b/docs/manual/classbayesnet_1_1_boost__coll__graph.png
deleted file mode 100644
index 1be9b7e3e6793825e312faf54100847e021d224a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 13587
zcmd6O2T&E!wq*kn1w|xD5D-MksDNZ7iDU#MM^S?093)Cq6c9v^93&^nIg2C#uVj#n
z<S0?%?EBuYUo-E|pZZhvt7a6XX!>@aK4+i3*IsM&YZWCKA_6J`1VM;oA4#bq2!<m3
zBgVslBRtd0>+lWdsl1F7a*qC+QlAxtAoPf=l(@QE!uo`lp8E4Mv9n=b?q4A(z9E&b
zQ;pw$a2@ps&X1Oh&$yXqQ9z(o`%(L>q~!L!%CY>03T^5I#W>Hqyc}$Sa_t|!OKdT7
zjDPshRHe4@u=>-dougCZ@2{GgZgUgXC5PjN<1QwATCFQ`?5*Q>OuUChA3!XD$MA3e
z^-Agswi<Eo(hGdQ(uRj3mdo+Fa^=b=Mbv(wer;M@n*L0Jli-AHx=i?4#ftE-Je`z7
ztm;bZ0-HSEal{Fm?>j|Q1<i39Yh*lzLZM*MLvsx(5f3M|Va9+7m(9tE`PHh8n$;iG
zj*HBO;pU@Zv_e63b#+ub&X=;K@fZ?524oUTjEGC9;W4byr?LbPyF~mTmB15vWKO^k
zKwHSqqnsrC8v7zS&qEF+$$p;i@%M|y`Yv+S{a~+bMVdxS&9=Ya>oYnz+{U|nxjjL^
z(e7y1V)aj2+6_4Kaz;jmV#(Rbi6{Dp-@kt&zG_)Y44j;o;`yvw&Q6butwu|jwQc45
z$-}*nSTP^bN%zG>svWVzX)Mn}<L;^+ULm2{&ix*;U{e<tzM%r$VajrTb#wFEggBD^
z*Yhl>Cf(+U5=35-ua8#-XJy?AqY-!&5)z_wIrE#-+Q=P3N^a!k{#tVY{#9;^pG+r*
zbK!VIL~ZXGWf0_H`W4%{?I7L(DqVMX0aZ1%R0}GEo|zekg@vVRA<i-)IXQf;J^X&B
zhi+Vj+Zt9=<N2xW_fPk5r@RjI%l{gBZeuqbt>iIlXVv#63I$hAdgRHD*$h-Jwzak0
zW@XKF9)-CP|GB|;@#4h-uHIZ8MM)PIm&CqOE%w{&>{fR1i@k}G($azY<<c@TCY_Nt
z-Ig<AzF71#E5z~O=V=xdZdcVD85q*N$lIYiKg7i$r1YJrb)DPvITyO_K7WOh5QmV8
z2QOS?Keoq%D=Td5qx0q@?aPCWK$r%E{@%T-_sn{~65aph+j#PutNd&x+foekfwuOw
zuC6Ytp~;`+<tFDftA(vtmxYniQN2wQYRkmvN3*-j{mu<htZZzSC0B7$-b?gb@iD@j
z`1$#5?d`RFmW?vvp~669Wo4I!i|8aIB#0>~&Ap5vM6MMV7Y~jtjg_;B9xX8<4|H^>
z3LDQnoK}a3&d$z4LPJZhyM<D4J=~nEzd}OtYGb07Q9$5YQ(L9HsHmt`gQox{Cg$|!
zW;m=(T2<AEY5e_3H%12s2fM{Y*V+1mNi2k2zlPN0+uPzH*JUSb1?H=T4M#6lo%Fpb
z2XS?suM4>lqE|XiIy9yK$&~Zza8dio-yO?>RfpAV%h967vo{d<E#^EogoSBtDJ49x
zvSK&zId!f(KRd448`51}@BVbpY<gzKkJoZ21*WlwuM9OZwo-iFa*>Pv{{7(v6$Qy*
z0h?d^!Uw+`5#NgxoK557)bOpWqQBHk*>k7oKH}Rac1{CRMJecXThL`KMCQ8t1@h30
zZ`&UtBUKANR#ou_1O?q-W6NWx9Tcr~S$}hvlF%x9e*PJzk%9u@&d$!KgoN)YDfHjk
z+TJtaUZUwBqUKZS=P`Z$95p^3pOcgGtID47^yEbA@ni8w1v$C2@bJs>^77iMsx6Qy
z{*0O>|NgtP=nflje`6wkdwW~he)fWwmzTDdR>zw+1Pv#Dx@q{VC}sbAeSP&pQ+D=k
zs&@}FKY!-t=8o8GJa6dXlP!^t;Z#siDBEYdbLV{#OmIOzbJS~u-+GLPQ?DvQS$O-x
zX5Eew4i3(rj`xg1ivxqMx?W$NEH3oK=kzb<kLPoK`t<2S)2mmnx(m}8#;ZSn4q&=Q
zLedg0b{5N2?eJS}5+-VIKcnQ^Ol$BxxCbN%BEd;Q9IW_1^1SfP(ZPXAU0zpsU-swV
zU^I@uA0&#jm>3G>L_z7uggYiUCQqNPOdP}%?nG-E%)l6ABMrUw$i~Yp+fyZjBbj^-
zXK-ECM&84yVI;e|yYpGe-g1%OySko2<o*3dZ9Bl9^z-M>kwSf;$oVK`(N4?4>L56k
zXsjqY?7E1YfAg1|PKkRWA`^m}uWuzyM=(g57i+nl9NNE#`<9SELq&+=vNG@*A0MBc
zgCiq6Jlwgp?b|nph3}u3I`>wG`=_Rov9YmvsNTVsUX>j~dl+rEq4(cF8yg$F8Yh;%
z1OZ9Kek~1+hktx<m3}KRb-uoO>(6pla>eLEhETC+bgKJi{lTA{tfX1=;Ep#NlM{tp
z7k*Vc%KkK+vfgXfNQ7Hk4HwcXGDr0s<pwSM9zsQ|>lvDlt;j!r2V2162Vc<uiDW4U
z?eYA%L=@94h1e!^3Si0$&J<Y{_Sn5WF)^X7qtgZ9*qbbtys@#t&dIq@^1Pdpj7&Px
zb8k@d8Y!uI!N<Uh6b`#fDBiFvllHJ;{aP2#lkN89_4OV|EId^{(JKT!58Yo*7U<sJ
z-Iy2`q$MYZx+1*fB<T64^A;WfLCcR+NyzVatE#FHL|9nZu21B^XlJ2^JHBV6#+fZs
zIr$RuNLe`;WiEAoc8V%86x&@LzPvhA;IB&Hb+p?&R&H5rKljiH(wecc@koQ$%W{ug
z@6lI~-&k2$tt#BBpPHC#&xUf%X2ck@z}fE;65c`@zNoFO&39~*ce!GP5Ffu89%F00
za%w31HzaVbkL=p2CTnXBtL7aph02l@?r`h%7o`~%dF|dA=notEoR&MAr$&mb5)u(f
z8yV3z9B&A%P1aMpPB>H8)NMaxx^>G0Qg_JPw-@ZTIp0ClX}q*iQ6cs|KXqMo8k}2h
z3A{K`Y=Zki^_>SQr`J}XM8?L36Y|xrhX^tab5gaEn-}r%V-U>$=g*(%+1UvZVj3DN
zuSv+gSIEc$Yd0IHlai8#Y&BMXRo^=~If;1x-gu&;y1JU*=S&!Vo41sAFx4^@#0?Ct
z&(6(lPy1hf3YlTZB`@sYNl-`uAGQ2%jQFIau!MvJ!GBJ~8eFNazP{M&*ySyaK*?B5
z42Nz|Nl6J6ZbpHZQC?U}ON&RPqhy7QnysUZ<!ZZk_;r!3KA*Fzj*Go*J@=;w#l#xB
zb<CbUV~UK7wA)>J{L86dvFi6n-7k)dN^29f6l|J>7Z9hF0encE1^abf>-yC9@83uN
z1~Q8%x?ufs8Mj^<$mu6Ls77&KcybAkPSlf9x5BFV1B)6OGaMcr-C$z6fP8UY)%cv1
zrR!?y=Ee_U!|ikCsSwZCQ`2f&yUs^SN=nbbfWh?s{d>QTjz?A_Uoapq#&R2DqKmMv
zFCz8u;gI{23RYcfOkabd%1d!rO@K4Dn{nv|1c(rKclVC2E(r|{@(SCju+FGk>5%X!
zMLnx}8pc=r3k2)y>bAPril!l8zJ27-HM;vr<?&;5NiZ7BeG+@$*5IADp$%<JZQ}aq
zLV>uh$bMejJ+n(5yGwqM;SNiNuU)(L+I7+$*B|$CP<%Y~x3|~)quDgmY^NHAqTY|&
zHqwfnY+;F>?y4aaMNK|ue-~r#K9?(SuCA#`gH0BTzSiDKAk>Y|lh)4KoMsB8nneb0
z-@bhYf#@tqo23~44H9{r0&`Gs@I88ZUvY8q1VLw3v%aJrr~o>+&neio9v~-w7nAeK
z<0B#-aB*?%uZ>1|)F<6D{cZ#}r^obO@MStBSer}Ng=3qWoArvHVt1auTU8I+iI^YA
zQTq!RY1}G`iOy^Hv4@9;!|Bl;6IWQY-plp!A(vbw%`gj%)8&DjtL@=*eUR7Mj$&($
zypML51&>t>6XP=Nw`bcR>wboZhcq)<?Pz8*SvPugl4}wdqbnm>;pk-&S8?R9+?E^k
z!onoZdVS<pUbuyZpywgCzP^5eN!)&6zd6s(iHSt6hQk}OCHeVpVJ~=YR4?Whm@WUz
zaB_BjZfD2s<>`6Ygmqbqi{yz&5^FmTTgK<lKib*?lYP$I>yOJ-qxA7|S?}E|9m3ie
zHuNdjpM_OV%d}wXyg%g`1>m~8LergWt8&UakI%55=WMrMS=enWr93exH%~EgD8fR)
zd9S`fbR;*53F@o+;g)fduzQL4__V`HRph#rvf&ykQlgYqU_ahA5wiWs+41J5<m4&J
zn?pI;68+cV(635cy5s%zZtL+1-oHmut3OmF`>#8!2?aCPdw2`ny?dA2bwf{h_lIQF
zT$m8elOW<Ar7*9>q1&2$Tryf(TJLK21I;hakGR_W8MKqYGseYNWC-};{|~61+Iy!5
zf`!+NR-%j&Dp&bgqa~_Bz5Z`QE>$X2VQ<E2?Mqbcoj(Qtx~lzM{P613uw?{i$*E>4
z?#tgE=X$M#C!;JBboFBL`gOcf>6Z3<OqQOg)@YxnhCDUeuM=>mF*3GFLdDK(+l+4F
z)_&1FNx_mN8<bG_+b7Cz7m&Vc!NJ6%n=+bQk|-TMg&c~{yuD$-&iZXd@o}!j*>bq~
zlS$gxBeUCNG7db*?L?QCYkmy-UeeLoQ30kG$r3wmA$5e9KbkSq@S513Q=LT-=jaR{
z%h<Q!<+|e1)Jd|4${P_sxR>qdH+#9*0?Sri<?cZLBe-L>59LTh9nB|1P`y{p_Zk5+
zk(=hdxr_rFP3QA;N)$6Yrn5dy=0qXZne3OwS0#uY27;}kmazL^WjcJ-;vuv+rP%S&
zUl*Oe-mBYvmG}xj;9;N}W>Mj_ytqFtA?AL3LDwDG9N3a25-T1(#<sW+o$GQj6=!<>
zQ<>i>x%lWoqIU~3eh<0Te#}~mc7$w-7wzRcEZEpa{+Y&|E88oJ3;D`Cjn2lw^<BG}
zl!)?s)(85YM8lr6Y8G<alOtu~9CLK<D{nYBzPwm5tMTN*^pr~W>PmG|0Nd+E)<C-S
ztJTKe7T10z@V;3PS1F)$n$B_1bR_p3en6JZ+2CzSq`;cALhR|_SV}R5^T@oyj-06b
zf!2z9>~#VHDQOh~hxiO`R6Z#w*<jy=aW+M>W9K}Cc5vr$eA<eT&DZA<Kdfekq;iE3
z+j0K!3#9A_A4QDOLYnkl??IimOro*0l(g(@mVv*`xFp}ZR#bL<dUW)tZ=^0?U?*qC
zUiEyhMf#;Yi+W>%G-LjIT6Cx)bs4t0&&_7ROZcqQfzq{%-+T0Rbs6CN$y)vASKTPG
zy(>CH&8W#K?wyt2mgo%q{BG+@6%*!4R_HL2ck7nludv_OEos%X$LUj-nX<Qv#0ozc
zCNQ%T9A0ROF{SXlme>(bqm^XNyzPIfjLnhP*8i!QN)K-HdHs_t>?X1Fus{v|vJMR;
ziGJDqYkA)NzU6YwgiV-6mddUQHd!+^n4L%@6TfaHdO1i3&5**Z+1OEB+y*7uO~yew
zTS0Zdc;#(5nc>kfS#!ZFnimaz;$a7d7yW4(kiOD&V)~hti{;w{{XXX5Q&W;)!5Ssh
z;ZPv$KC5G~Cl0-OR{uBQ2*E>K#Ess0>s)->TQ%$P_U})%j9oN(FY<1sE=y@h<wg<2
zj`kC&<%SvCyip}<yIF<XG%R?7#Z<`F#pqModu=SWZNWq(>Z^`M9jM%Hvn(PxU#0k2
zi=T~i*;L~sf2CB|?z%HhczS-h(qx`t{HyCx`4o!xHQT{Z#AfYMPa&O3*6FF=Kyy2-
zzOwGE)X}b!D+zR%RZsfuj^iHfm8V;hr18H0VHKE*lXc^)#G!6%eJL)$9KCUKMsc%;
zduJs{DrM~mP;T=QDs1IXzuYAwGrsF*t$t{waf6XYKZ>}(FTj+of<;bS?u|X2uQKVD
zwgSod+ESd<#N>w0SJxhM|KRjh;tE;w3WxZ#4;fXI2W(H-UMt_^*UgOf8CzV;z3=s$
zb7d<t-SP_hBn<RP*%y5LTgXY0A8t-l$_z7|Ev}!*cxrDXT}X)v&HH^*W|+|`>W390
zpEQfS{T0&(#urH|dgSIg!U|>e2o>rlcd`9?3psVZ=6_&VhGQelntkK3oz%;-bN;+?
zGuIK<LYlk=CnrVg!4(V(4AZtE#7V_;IAnzJ{>cgq{FI4jJOxhw*^HZqfAS>DuCLZ)
z&@8Mlr{FImw=3qBMQ_uu`j-dl8S3tCZigRhuJ8PgF?6wWcJ`W_m^jTbZVig&lhN;$
znoOz`|Hso%mOilh5z>Q_t!qW`mh+OgT|>sIYqTEn?Oa>H`?>FW6>{#rT#igvclShm
z-fgoRsiP0A->7~}nldK$y-eRcy7u%ZPD8FESEGeSmm=T!X-Tt@-9)8rvf1z5{q^yQ
zsL04VPA?kSasXilPv~?9{jhMyMzv&QA|tVhm~8vT1y$RaW~?zwA1N4!7+5<x$y!eU
z3i8+2(+k50!TN&uQgr&TWw0aHv8OXX94W(7wIW|EhYQD@1t+NVP7D_tkjc)T9xrxQ
z)~*sbE(FJgkQ0p0m>pPlo`C%?0(iKm(qHC`6ym59e$WwpF_3NMx;{48)7Ew~>a(qs
zl$7y~t=~t*vzjtzIs4yQCs<9a8DChK-@6LdFkv8exIdET%jI%#qg9oWrJ~_gf8_10
zzY)zwOJ(p(8-j^8S39+V*V>p}Ss9~lqJ>r`snm8#R5?-U0HgE10<)U0>WUb$fgt|P
zKMeZI`Vh~72CrkK!otG)5eXFld$fZ0Mr47idcaah6)K>jC2M5jM6&7NB#WscCqi-M
z%KM`JWl?M-()Kc)sIV(Mk|8GdvQv$vp1yt-((yVZ<d6_~_?FThrwJEf{umv7dhLO+
zl+@R5Xay`E!-NSUGRT9h{t5i1ck|~$FZc5Wea=os#gguKV(2@wlEls4$f#Q36PB9R
zC#I9L6HGEF>cc@YIK5}eGA$a_wG|>ckynqrT|3p3F_v;a)Q~mZk6}OF2)|`Wlv1y{
zg6ryfFb54-JH{{NlEQNj*0brAB}}P{X{4G_mt}7G(ew3=H8&PsFRBo%VK>`LroQCt
zYF})n(S%iO;U6|~eA3b)p?lui@W(@{LG{J_&2F0u5vl#la*qsNc9viugmO80k&7*@
ztwpMGSCEFk3-P_CrPbf0nI9)6SiD)`Y<QBK7vlP%B{P;bVPz>Y0aa@p{IaS_%LQvG
zn`MD_(1S<unC8Jb&`whr2%woAEW29O7yha%YRK?4!l0LrSpA#1shXO^l8&&EDL74;
zF()!As_1Tf&$z6TMXrwSMSR7_QL1_Zm%>$MI9TiG5<6bf>POzw7MVXza^j^%Vsj1`
zaaD28C)HQqgoN-v_=At=0%z%!mX<cF8TmRcvw)iS#lQg*1#5=r$<b<2=?B%kN8SiB
zGc(i3nvoW*y6JhkH=NaDx`Q7ncHzQ>x*_%Q3UY_;_u14rX;E9}h_F;(W5M-25*mF~
z`AUzD1Cbtb3M^lOsL<bij;c0YHeq{Igh63)ISr<z0;eB!Z3J|kN0UTeVm@-|?Ckt|
z2R4SPGw>^sG4b)^<wyzRjT?94(>2U)rLtJny3sAJUbwFD^=<UrpodJ%fNI-iLA&U*
zG3=&CZMxSV(I#v{)|rc{Tx{XXsB%c~ASEbLnW=}l-dKv%Ns~^wq@FBUEQP6thk=C1
z&WojAwFpz1_X;b_xar|)w9?aUd(=CHa>irOiCB{2e694^UE{{4s}qL=-VAA4)S-ma
z4M;sF@sMC8@Upns-iN{kK9&35qtOo~mf#Ouk`kp$d}OV0gU;!npLyzH_t@!1c`Vb}
z1ge}T_=&%o1OPR`KDb5ud)=_FWZD7-9GF|AuPf7Bx9GwOvsmDHe)Od+6C!D66N?mo
zHFo&qB-HeZpUe$3BEr~#zwf+Gm|OCQYsqb9VR-Z6man1wUZ%aH@-By~lVZ!A`K#h-
zD5+Zx7``zW-}QNw;Hb#E=Y!K9h(j~Sv8UBPP4akexZbA_s$rhtCy7gY+%wkP9^KNI
zz16W&yrL*G?3gi&OS_bn?c&EekuedtjhcFU+a9i5%)}#|9;!5Zjyp>x{ashU;B*|d
zr&lP}%YA?xj;e255m?m9Mxl7|+oSF%qLwt?Jt<<Hwr6DzRhnlED_kt8j!9<N^0{t0
zyiF1-5yE`m5|{3HPE@H{S_Y4S>W1L!@Q1e|Q9_3w{(WY5&iLo_mX>q^h+9~`%gy`y
zcseXu$PC{IAXZ}Vz@-aO`b=K$-^X9`F?aG>giGuAY51XF&7~Qd`ITyOzPxXFZW&wj
zq~z^PcY9HLNRtrOPn=a!qCy)o4%QCo?whGBaf4mOFR=Y^@z~!e&6kGd-}L_B=O;)n
zi!rraFaK=h0Z+)UUz{{I1mE95W^=x{?P=|KIu@Nz_~rON+6z=YnH<b=oBcj<<#~_3
zznv0ET#K>kx>1>`7KYJsuKh~qg3e|wmKyGrLy{)%dgW~<d<Emn_=+<sDA@$;S$!Tg
zyTYpNY3`*m+7vlXw(TUQDGjEzn<jBBsW5SQsl*qjx0j^O@;Wt_o?gQ=(rhO<cuf*J
z>(KEjGis#Va@a&JM@*n5EYo4Y^NC8$(C-!dLfi(Iev6NpdK4TgUD#G#&ity7QJ={S
z|A?y=tU*xR@QLc$+NnACv!og)bwTb9RaVNh7z$O+pZDjF11UwfrWYSCzTzz)H~fG6
zP?3pY(8>PwOAk%ohjFG4!m9pzGxVS7765coqi!ibZGMFv#@Wiyn<NrymgJ5DguV>W
z3c%L+_h%{V#!vw4nXGfa&B0+Exwp8uXoCKMtMSk{{eP!Z6q$>X#1*LgQ;Aqyx?8CA
zZ%PE6&wrcP5J()uO-UFJRAg7sBPAtMX#8bMva>@10|U!NImN`1<1%@(dvXZ~2!NJ+
z@x4-u{p9puYSlAo)XEgt0RQo|pBWdgUcE}KH=O-Ao!_`6fNK3M74I8h&KYD)O-)H2
zyc1j*Bd<78H}sLc%fu8w&1d!HZ){D)E!mGBKbDl04J_=i{hpuyVZ>cF79LDsOz~0@
zO=_Z0sNJot6xBCZZz(;KmBp963+yce1H<mYf!Tux2%0X4oEJIx)fyX1X(<HstA35s
z4A8=|k-*OYm6idtosi2~2du(3Djp!pg^OxdSdR`5zvx!l{Hk^3`Ufk$yT88>Z`&Yi
zXlS_NBp60{=asayG~amLOb~VUhqT&Sq2YXO$w<%N(VB;gV&|hehJ(uhA4rh?pFdw%
zg};4EXfxH2_^jtgzNPNSN>st~<>lqIAE{XKa&r7H25#3>Rs8@Wy{LYlYPdkRUDu|%
zZS0}GS08W#aA{y#6vf2EHb#om#gFwR)IwO-h!l~xuU{K`dy7UzMFA`N6*#-d`6fTC
zYU5U%)r$lFoveIkXez$%<HwJIH&&39HHLMc@;Ud4w~plP<AL@3yOLKlBv|jhV+s>v
zx$a!e!?QX@zPFdtaHetQM}Ut%(@y835UE$~aMQNouW4l2=s_11P(8h0ze)-8lg>Km
zDVb*it+pt#{q-u%-Dh|l<QK!~#FP~K^SMft5(V!tF!%u(zq`F%jPnG<5wqR|*+{)c
zZ;{i}Q*9NM2kEFs>8K7gC%iUNd;-XLX<^}8hJ4H)ki-Uf-aUW*d{6?-9}Vd+D<yOQ
z={{x}|Jlp7?<xrinrjEjDn2}qDz2g;ut1debK_oMW<i7IP!&KpoW1(U0Mng_i{b_9
zl{OPUYF%wtowT$l|NQxr(!adbc`KRz_H8`L;7e`5QBTj#Vj^2xTTKvZ{yp*cTdnv^
zfHIC1^%6wrMMP*p)jK^tkZJTj{Q-n>zHa3uITqkmaRJ@7eS1fZs(<Mk5Ey6-U}kV-
z`B!!6o~yF5vbwtZh*iG<M01th3}(aW{y0_l+40o*Q&8pT^A=whSR3al6D`|%QT;ps
zGI6~2n$*1rTY(oD4vvn-cR!^JuVNs<muOp_XzB-+mGOLSYh$>16B|ft#CLkyXmtmu
z?l4eWet8{CZ0+uTT|%W}=n;xQtUY`7Ov`ZOzrgG|*PNev6%umkT94%!HhORE?|*|1
z;f}+6$BS;@DgQy`8e5@*UJY(re_Ehyvaip>CD3n`@!hm^FR7_D__7I{33MZYQnDx!
z?5}`;00gP9nRv6i>tq=b7#!T%+KRQa*w<cW(VuVZI&NK=nv#Nm*g*dp_7%{oPg{eC
z9w{oeftYHy@k;>E7X973KRvqNaa4?5K<W()*N+(vHmAZbiyo#7Spf4`_os`^?RdSi
z_<1*ZtO7I4vQbYQuU7dBGRO;>Ca3?11$`Tz_2pXPS%Oia%+Wkeu7?jF-UU5MFfpt@
zQ_)0P8e5V1DvazJF>w<pV-Tp(rDlDm!-e|5d_jPIF~Y#uT1@sS9I}y+zy$hs1jM+N
zJ&)elJN}?I^ThYih<fr*{QAZ3wq=Bai|g3-hHUWLA#3}|BZrlN9JHiiU4fh0v4$X|
zb!abuY-G6T(QOeCk!tT#kH~o-^WE3WhjqrQopkznI1TDzfsS-?bWDeYA>_JYRez+c
zLDyea&H=NkZ<b8;bL!|DkM&-C;dt5#qe+~Ey0NmkM)apooxsIY?f3v#eZke0pU=L!
zE(zO|8Svx_>!LpdhqjHU8rBV&7AGJDxou60*KVHXqp3){QW*;i7HD3+Lp9^e{#b+F
zKl-vhc_o9cFJ;XM9=H7t$`pZWPz7xhghb4Eg|+2R=hxqW6A*r;pr-Zw*)yY!U)63)
zslj&bw66R$Gz>aS)gGMrK>0^RM$RtX4KPQ|EBvea-w~U6wX?gs6?9r!{fD9A$iC0C
zY6u%6ur(i4i!9?RI#JGLOfT7u=N?v_MSN!b%|{J2`8n#wO4`*=S5C2mg=)xA6>t?h
zxyDm`Mr1c2h$XC0x{L$h2@A{96}m<x-DfF;_g<Sarm`gTu3-&CRZ$=h4o#zt-}=jw
zSce2;+6fAW79*YrA{d)}hNr?1=Z8MVv=R7fdG^9?T+2N4^2^gDQq&A^g|0Q_Q6(&9
z%paP)Y5^~UFI7$WJ%7z7C85So)<fosX;&nuj6wB!`4X#a*&P@{4sq<I2er?V*nB&#
z;kY;{JW1nt|ASO%ZZjE0A^0m7iP0fnb$VWvHyTP}9R|0hVisYR%;V+8z+Un_j;m%u
z;lSKyiI3q)w*(TTn>0K%y7!T3j2>VWsi{}94H6_iDs0Nz^D28GSGG(M{mi##i&XYJ
zuO_?-#oVyXjFh4V+?RlL=X$`E>_3v`>bDE-dKp}4zB4}Bnp#f4ASF+l_^4Oza~&;3
zk6bTLAaTnjlDL22f&X*p^Z)pCl`zf+BNdQwRWb%1%M7DP64URGrIXrptu3kQq%A_s
zlMB>@40Q~mutS3IFI@_%t*uS(CRUmTS$YBF4Vf6!3!vrjAwjx<WKlynbKz%yKhQv_
zy#HtD*D<)Gu`u5m6%roa&Q?@63+Qq%@}@jEISf}zq(jM5fi~~ad+c1XFaP-Qm86#&
z0(HAT<sl_IJ#cQh?vOd!^~}u7WTM77jC1ZyU{Fwt5jW4_Ht4a}FVXP(LT(&BWEc&I
z=6hRk`jm%i8^q)kaMFCrBZ-mh<<TvkoqZZ11$E#BI}iozAl#*V@S-DNV`mQlo!+Tt
z#mAOcQ4+Mk8mDE|)g5;7i*j;uFGS|@3VMJHX`ZAm1F6jWdy+`)Wc%O~c`vW*yiLT2
zFCHpPzS$c{W+0rFPwHA)Hu5-mwb(ziEt4=Uy>{o$9Xvw9fTAKUX2rM*=_owpk(`_a
z)IVZySu{005Z)g#L3}~!V&vni(4htyw@rr5>jLsfUcPm2*f88?qNaIjiq78Ne&}9R
zTPQ`k>*gdLKEC+D#sui8gwwOSs&sU8?1l|A7?5cX4%$I;f2^lxRoX*sTX#i3K%i=;
zS7>|k<t7I5kyHQ89g}ZbtF=xwqI-j?nsio!?tkWG-Q3)aK)OMDLrzXlw?TEEg)A2Y
zLl$&e@(rf*t`a}aVAUPh!FwDI;|m0d9gGQlQVtGxF}RtTgZ}>gs{lwCG}gJ<*+-FB
zxR>UGh^VtIs7gypmOzgl7*MzQRrTK6+dDryn_iar=1o+4doX|*b`}<6s1$$KO8fqR
z8ARCYhzITLI6QPq;<ta*(9pon&i)Ka4Cq+TFH!ToWpbbWijQfeu1@;yA)}hADkUXl
z$HA1(lxaNEXofrmGc&W!add2Kho+%ddG9imcBNQuKd!nhiSp!k)c1#ULkmO)hFy`m
z&4%OHn3#6xj!2Nrs<}%G^YdGwTn+Td!tdXszqp`s{lg;RQ7JF!3H9+gj=%By)=N4J
zG|LW>{};{!-fR%S1soR?BIl3xR+l$7`(C}mgqedcv{?g!{Wn+Ri3DhUocc8%0MMmo
zTCjurgj_vKDY0beuKlbONRj<~<M|vst5<1gz5~T+53SLl_eU;616z)YBcr_DE<U!(
zJ@Ag<`2u?XQYcw8yaNEexY{r`$kb~*gMo=B{^MJV3JKUXlHjl?=m-39xYc?YXecyv
zn=YuFe5I7t3PvP^f`S6^4GzWyG4Hz7WZgArNt(gZwLKF|hl#)rH|C*2HTs;tSgk%g
zT190k)8*^el7n+ckepr17y3YUgE~s+KFUN3VZRJbL5&8uY+TyYy;s?IS}=L1XY57s
zU~tfYwgAq`ipTcvfl6D$)w>y_u+y9b^%IXXax+Ib)9itbmH^1b{Yl}+>K@_?z;Y%x
zuTTOEOS7}HP!eB#`NEA*G>YW>{9grmN)Znp-%#<n#l>I%M5}@6(2^#I`CM;2KNA89
z(T_zflb(y~GT3h1wwiJ8fK|w{_6gUst?*(2U2DD!^x(j#^de3py+^*dOY50F1ig$k
z1<KBWA)5>+Gp!1%YsmE0OzTL=^NX1ZpI$+S+B!T;0k9PDEzqsJ0iKkjmP?l}2g4jL
z^d*N|^k-_fPFIZENQ#SNkdTl(AOZOqd<kD+cSOX+y}`fAJPpPXJUqMy&z^neRj?`^
zWJZ?uJXWQtkda0oG10?mf59xj&>4q6^PN;;dlOwId6)MFEy8Q|Lq*1=VK;VP>t7qp
zqhMrYyhcg+C{d{$Zdsg`_6piNVBiSx@Qh$nLNIlK)vXi~{`c?SnPfS&zW5@CJAGoB
zmiM8lFfcG!8!f%H=OJSDJ+>M8`?wy{OLU?MV2Gg+cH{Q<_pg51_U6T0Nc5aPlYsMz
zy6D;A9N#!oC#0zl0JhLQh^)g*OJLppm}SAbo**p^jRI1B=6Qa4z-Rf7IW-tFwYR^6
zu?6*GXc55Q#%O8#f_IK!ruLMJ1>UuOQtP<-RP86Grp#b3dhz`n@?HU#3fdI(ubS}S
z-~U7tX1{$qrSn-yUVZlyLr7~DMK$~KCI!k8YGoFhBysz<Z{MB<VtNE3&St!#Kz8_M
z+{XaZ{>VFu7)VD)M-wc=_7BO+Ghsp-c1{8kWm*n<dPtSqF*K%cp!B7+Mcw-koQ6r9
z(ky)LPYyAPJ}$GGzb0r%0rai}VfUY?n`QiDKU#^Hp;VG|u0rBebGk8n(%Q5iRw!A<
zaW|7C;b*?`lHzO;+4G2aIqA|!05`JLbDSB|vPLz)YgvZ^sFAyniIJjO#Uc3KJFHNq
zj22+Z^7pe3iKO-yk+x7VS0Lt4F2Jp4nb=E{o*mwbBT#u$HC0UZx&n=>Xfs;9-cXoC
z`GyG+HlC}wxH{>lS%Y;{>A5M%%ScMOy+#vF3{y?blfn1SuPY?cNQ~B=3z0AX6p)8`
zwh;S9N*4|NdQMfUc1>Op5EvIH?@$G+GmVh~isCW7RZQo*+SJwkU{KwhGgh_RlYuH4
z4a7c%9+(d889UxrolFbO1RgdaIOrHzTGh!XEexCN#puy`Z|={;6Q~yZ>1(RW((@g0
zsX&M30aE~ekI^`+YHQXlLzP?G2Pwt;{$!zAwbd(>{Bf8i>e>9ug8)bRH+cE<=lA7V
zzB6x;@qE_wGXKWygkhKYiH%eu<ReT~LUhM%nPG-8a(8ORfAPw~UH|{YX__(=^i;#G
zm&Ml9G&J~nQO-QLaovssokh4`zkL&|`LJNOHsLxYvaoa`Aiy*a&KXi;*-K4dHNW&?
zTn}+0krRM(wuBK-zaL1HM%RFycp8|MrMps${4Q%+?%LX)Ac%b;{tLX^{Ks@YPRNpI
zuO{4c9UvN!tkqaq&X_QCjJxaO6vKLs@BDK~dL?>!#;X8QtxYvfp`Pm%1Ad!<M$hJl
ziR@GGUvX2tvvYL~HYk#TZEf&!ofnc!R@(rJ4l}SF8bC+TYp*J9FZLzNfYCB#?PRwH
zxC<Dy_MAJ@V^vj5I=W<?<SYv+u*3cU>kLl0``L+mY>#Q}3+g*hrONMhqisA>o;ySj
z-%&j&=tU#6_I6y4`i6&eRvdW+J~3)p=Gsg=*ic-ch6Mw3yAEg!ZCW+$O~7|`b)^AE
zDxLQs!`p|9PJ*;SmuTOhL71rM_4TpxR$u~fr=ND9xtLh+@8DdbfxJzauU(1*4kai{
z=vu?95Q}7xiXN}sLz_#{%mlchh^eVVMZJ#Dg+~4(d$YdlL?Bp9Qp?In!OP=zI1>zc
z`LS6%{7xK5x=HV2Yw%7HLFe8|Vd&`xkYENSLx=54)$eQ_49&E57TPe0uCsD1;8w&)
zfA|jiswgPlR-AcxK4@(7PB3r>dLy*=?1SpzaN}9v+L~3qPB{UXfYH7yNY^F`vD_H`
zI7AZvhN=l^1xdjH^$<Gpjrs!vFaS;;ZqH?BXFmY9-D3lTu;1M=Ci5NdDTQ3vVS3Q3
zclh^jDi9kZ)sD9eJh!E*s;g)6iW*vg+xTMCjEPY6xhN;_`^6Y~UmG1A)oSn*fD-Z+
z5NL5PAArIwV1@xrTmy4AHUfsh`ms+-8U08E7y{{hPOijdG6)G#L!D}=bKgM_pi<Et
z0tCzz@GOFahISSMx~1f|GfM0}I@mNcJAaX<#!m;81M%ISYj5rDz6jGx3FQh*#5j>5
zuU|K(i2H*T`h9%-MNLgjXd4*8$44HD4Ynv;<a0)b@pO|PtRuhE67hG_doVPt$gMwr
zTEI<e2i<*y6rfJ<=w3`mg^b(O5`l|bt6T>S;305!R|e5{>*(#R7&Wz)kd(AvEvOt4
zAky=^NQB6-xOsTIVgi*70|BG@*7mkIP-RF8tnAR<sLoKt8U7-(SsW&<kW2o4MVU<a
zb$+{P<bx`DARw#}Wsrhd4I^=5c1pY6AY9xZhk=8GXxQK-2iU<vx{A!Z`}$;{=OX7a
z(6bgnV>;MsfawWWuW132zGK{S0X+3hM^(9Vz8>`u@uQ~kF_y5DgWq@@9UZrSIrbR?
zKgbXLkH^7={`xj}zoFA8t<GmSz1piNp_WorMG4cy$;pZMPI(^_0cc0p#|rE5tpPRV
zR2VPfizW|`>cChDxPWZv-uH+IV#K$y@;>xhTR-Kww5Ld7K74@Aiw3yirT(nTL4?;{
zMMjdK&4xf%RRMS`Sl95P)_3PK&+GX%yS`2|J!`E6ZwRyl99Fe<hlBymnH6X0V52-2
zIsPI@>DWAqtstFa=y`6_3A+(X1`##`q(K33>9qV48$qwx{Nkdn|5}`7p`Srfd!}MM
zx6_h}Wh`t!=YNof=Vvch$riv~b`_R|A3BXmk5vvdJe-`I{O6EHpXMndcJ}t-gGI{n
z%F30TdDc`_lr<2I@IJs-RJzO+I=aiyYoX~%G=~W$MR=V7b9%OF^Rn29FN0*zh@OVw
zIcEVxCgeDDF9tOFTX-gtn>TM(Eoa7aKmCe#I|CGcPT{}vQFe}wt%I6|@4!(%n;tGI
z@#qmA+LRt|Q-cp%_Yn9^8|xyFIjX<{UkqfI)kF;$yt{xluiMn`X@HTJiJ2KKpe#++
z3qeESTf0${H(AOJ&dMf;{x7CIRFE&xdtD}srWuxt`&kDul6{8=VbjR}ayAKu-3!>*
z#%CvgRpe5ET#x0kAUWGfK5v?unyS%1+szUa&*~qnCiLw&)7Qze6SbaYD;kd+85sfE
z0M-4MWEOTNqz<jAObtPZCt(qhf&&F|a`H4l>?(52M%>fW&Hm*EYqz<$WI&Sf^z@uw
zUA0V9CV{3Dz&)_6!TJZ@Lx6c#IYgu93f}>Syx7sxBMou|`URM>{D!kp-9<V>iIYEX
z$k@pB?SsFP0S+@BEH-J^Sv)>I9(MZ$MI$0H@g20K#sHGbMbTVc#s}4*%9DMt3L@o`
zcs?0mJq`wLvi9TPaARh+8V@>e#QX;6HuA+7>&A^6`IVD+C~^?Ys@O$5cAH=nwEAen
z-+$zFppjCA?(m(*>N`7{s7@xjn=iyc$+{LP4Sp>$GJzUWRLBR_b{c*E|LOH13B1Lf
bb1ZDVp1O9|gC%&&36Ygnk}8xidi6g5;R1KJ

diff --git a/docs/manual/classbayesnet_1_1_boost__inherit__graph.map b/docs/manual/classbayesnet_1_1_boost__inherit__graph.map
deleted file mode 100644
index 6e4f09e..0000000
--- a/docs/manual/classbayesnet_1_1_boost__inherit__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::Boost" name="bayesnet::Boost">
-<area shape="rect" id="Node000001" title=" " alt="" coords="111,226,227,252"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="5,300,157,326"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="144,264,97,302,94,298,141,260"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="181,300,336,326"/>
-<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="197,260,245,298,242,302,194,264"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="99,153,239,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="172,194,172,226,166,226,166,194"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="100,79,238,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="172,120,172,152,166,152,166,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="85,5,253,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="172,46,172,79,166,79,166,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_boost__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_boost__inherit__graph.md5
deleted file mode 100644
index 0f9adf1..0000000
--- a/docs/manual/classbayesnet_1_1_boost__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-e24f4aa87c4b3d0cdd0c5eb01ce7479b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost__inherit__graph.png b/docs/manual/classbayesnet_1_1_boost__inherit__graph.png
deleted file mode 100644
index afd6d52b581116fc011aa84473cf2a95ab77d6f6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 15507
zcmdVB1yojHyDhrtP63fd5JZuZMnC~c5u`y%z@SS)T4^Z>ML>}jKBQZ^MFm8<8>PGJ
zKHvZEv+uw6KKJZ#$GGE+dvv&PI6l|+u6I2#pE>6ns(xRAgpiI9K@bupML7)w!O(_3
zD)_kYFHe3kx55uxGZh6n<Q)AwrS@|yg0LV;a(A@cKdg>>>czQCNN?=BIrv52#-QLQ
zqopgq`quK@(-IjjOUY<%9j0F+Pe+q~s*JW58*W!r8RSU~*tts;r6xS7=IZ0f|2oe$
zlf$iYg;f!UYVPXKpQmT1ckZ$95eqwzZM`tM7(Wqw*!9P=TXMZh&6$iPfLsQj_1`W{
z50uw2?S#3wxQrA@e^-;TE~UpEdCh%`*7q26EU`*=!w{j5@sHDZxSKB<a`eWFp+UHI
zxl&&#TR576P5!UZEAq0H(F(P7N;?nSS|W0pkfhK66uFFO^#9Y<P$RR%`A-+CloXRn
zJWqdh+>>-mI%D_gK)TtJ(^LNEe}6rxqFUXW|8elc<m^>xsbJi@cWG*$q~43zGktYi
zCq*hfcCQ(G?`qea9WC=E+`I34R#S6}+qj0-_iX#q^z`)0?LXb-t0QIjWMm41`9_X^
zf3e;=KiR(TYut0oLPh)OMPB2UEY+kPp4p2;L`1U6%CBX&trCN%uj@>~w^q)-duS?<
z;IK8P6wV+<xn6f{7d!A`sgG;Sdw+bW-d8#;Esf9T#NF$3cMzY5sJSDS69Z{&ZPhC>
z!}<Q>M^Z-6)|OL7X6Bt<LFBffA%ljdrsMHy1sg9f*=My+b}@gb)9#K`yV*ZiRwiV0
z*_gV6i;Ek>USM4N{ne{i;(vbp_>rDvNm}vninR16o!qhk_uT&PL>GDbjzz;-n@&!=
zf=5^SaxTQi#4w;bY=kc$1t#}r+oS&YVPIKxnwU(|FUcCYkkSi>KX~xKC6Zalib_e~
z`t>lxYWG}z=~=dX3^57GV>7d~@fS;;j7r5{zJx!1{MeP*<jR#Rfu8$o5d+8GmjjyZ
z*tJeiPsPmJh&?<!G`LzFXWNRhvqRVu;^JC<{Zc<VKEBDq;#cytn?vdT2hnIpN5^v4
zpHFT|xGc4-j#k97_x}D(OG6_c+tISOI=Vd{Z&Hra#C(3B;JQ2zAtfcXGFEkyj6w8v
z%q`D7?%LYgDyMnnqobqWrhE?H-munq?4rhn*K4-#U(5VEJ>9swJQ&L!&tvo*kIB73
z$7FZ<NXBJlsL1PNv)#6NcX!;Fd8PlbU)O{JiDHs8Sa$jL^XJ^!c(u|1X+M2ldY$Fs
z;-bx9K4aMH*P=E<d|#`odPYZ+?CTCWL~KV|@R+>{8|y5dKJ9I8_Fo>zOaJtVd4FYC
zGgr+eTAlhvS46-yq^-4;pO-fZkBrH}!GZ50x8CiTmB9k$3l}cf+Oyl++h=8FI*yjx
z?rd+H-@S{YBp@c101wH1{kr*s2NeFVULAbDUQn2k5pe0!rIns^yxG~=7kexE@W90>
zDSp({)P}_t1b8HLa>W8#7<}U5i4aZqR8=3FnzD%4PuNtb7Vo{Y($Jusbf1k756+bl
z5*B_3A^s<fx9(dzlV|wLmoIO<*veSt|F^xU@;-K@BgP#S$nD-u^<Z-mE&h-zB`PZ`
zdpI4;9K$~NMZfuYt-7GGPOD$keZ!RF%9W0HD57X{6pz{2$>GNSe*09T|K`DL6dM;8
zL1NbQy6?F}T6%hPQc@UX11S>|lc@KRU|S?3QCRD%TF-q<q}+ZolHdYILvQbeYS&d6
z*n}tD$s{pwD}{Uah+S8PFk-H9aWyXW=SIiJ2fx@}7#_(ke!i&T{^CWd@A(<6;4||3
zpQLOnI={-v$(eS25ZfiiLX_SFXb?ggV<~;nFTq7t_Wtpr^^J{5)zs9k&L4CR+m(_k
zymOXi&|fI1KNG)v`SR4_;&68P-QH+*7mSY*Zt@ThHqB5GzIAp6Hkvl%8&#7tFoeIv
z!ZSPEns;z^#zNdZJj`ZVLWk<SCAevbT-U}zxiqs7<aclH14F~`I`88&xAlp?<JBU<
zwj<b?R33XPp%L^VX7IKvcLyF)Ffm1rSGx^ne>QKAEI&`W$DyUAHDtRj-}yo8g6~o9
zr;VfK0`u9n2-s(qi5GtuA<jlut81l(a&HO>Qe|dl9?XRCTJ>*@yG=gYoM~mzH$RCO
znEvKu7sB?V#(uIc!b($6vMS>{&fMHwgN<<WGeJxwl36;^Zv5-?-=1{6LQ@Q=FR%<!
z1fPJQNYd_m99KwWWLp5i1*l;*@obPN6h1yakP@Y}7|u>k>KYoapqiLMn!UgELcqz{
znSz-)>S^)|+;oMg@-l0_lN0@i)B<}W&)=c=V4vGFRpOWax#ALd#*MwbHb^aWk*4de
z^*VGitai;C2o9(nY%pfT!NDQnd8+VEL6g^c+N(Ho2@|&T9j^%~BI-DU4N>qCY9$*R
z8&+Li9X<&O4gzK10wia73cZw<=q*V}{-<3GEp2ThO&buX@;*LNl$4aWDH9SBLc+u4
z%*-zT{{5SrnmX{hZaxbO3lbe2U9RG}QZ&ec&_>8p(a?-6NI(BeKH<4u>k*8>A|i5e
zczF0*SJyulZ26o0`BEQ&KOR~6sGFyEq3-AS_>1p&j9%BD?G_9bnd3qAx_0eaq0gzu
z7o+O(E^Ar)(nxxvt_b}FnNmU#r!*84$MEoQ3rI>5Tr6{QbNvSo?vxDwoNf+Am%_%z
z#_-V4X^2!>Dyo(*U$|rDYF=#P`%U^B+eWxvprrgeKi>-R_xqWk(^6j!H!tt!R<miy
zv&FTwuCvqQo9yfXxjK0$N6h(=GV5|zGcz+$w>86R+nBkP;Sx)Mgv!T1XkzA04!2*l
zGrA3p<VYF1q@j*Xf=L-gpZugv7ISVBR`d4m{`M`qf{dg;$CB>i4FkE@4mmeBHxGCB
zLUerQa(qkVMEzURaH3XrGwXiT(Ou?5$%XX}sps)Pn}8~d5;{9xuP@kK=;-PyH)1M-
z(j3VkR@}9R>Y6&=XeJYCvrcS->KW7?$!NV(R<K*9^qWSeOAFn4{A<NKzFSMEeGqMg
z4lh<pY?l#fQv89wH@@wSx~<0+z4rZb$fswSeFIr%UmxGOgHd<5K!0nuPt$$7Q-mKv
zgu`3P(RrxCo>@`qtO1McTX&8ig;>^z%;P6dW~%-qH<xrvU4MBkfGE1;{DzjhyC_8e
zE{`m}Bjd0JwG2LIjQYP^%~7gzeL0#Q@hkzqUIw6IFA)bZE82B;b^_)|YSOlz&)XlZ
zdi!?K=tpOhDc?zo8;K15$CfLOT|1IqsncSC4kS+Zv?~QM)vg9|0{FpK=nz2#{78&$
zNk+O5zsA?U`lGVfpYte%;6nX$(ANsVF~v14FTWE$v5P;APoO<r92dlSn-+tXdNb~S
z{8P+K%nLFq85Cp6690|R)92hu_`!<Vgz*^^{MgrQ*g^=g=E?mWyeUyl^W27t{u=Mo
z5Vui99Ji~t${bi9f28J7)lr{zD#kUV4QUYPz_Az$OLYmq*z_2Ek8})vi!!70PYG|E
z>=SEQSn2NMYf|$(9-yGhtNP~uN=>o^lH~H#=`(HJzl5n0uwy)d@e~++^w}w|+>Tw{
zD=(=~rafTS3RLM4Y-vKAy?aRlw0p@%KL`=@&=w!_8n#{N*b$(7LAX&W!u-<uNg!zw
zo0gJuKSw}1z^Y1OHxhGtLM=qy?{hWoVVUf7%$yIZ=`pz|?o{fsJnzBc<X}EM?>;uQ
zOh{W|^iSKHF<kWzcnye$PcQ!GH}|h^@&9Lk*YLQ=;sgDz?pUcV#f>q4F0M>P1i^Ry
z@x8B_MmH_a!@4De!sM?}aCTnA1Ww2&%fta~E+KvvmfPzZhHdz9=R5U&o-Q|90_PSM
zWO_^YF%+}EvJhxrgjbX0M$i-p@CmSV03(DRKI;cXng8{*3`fFkjbWiP>9gCVua#bh
z0>(avkHatB#BB~HYhU--m$0y~7|JrK^`P#SKEL(-`}f4T!|koDjg#%}^qQJ2@ewps
zZhVE~etx=-#>w0!bu~)Kx|LD{{WL2xtzko@ma!9$Ps|=YdZehN<mi5;`T73zTJ?Gx
zlq?D;#hbJ3v&#kb@_Kr-_mgiCAXj;K+Fny%w@LkDGe1ACsG{PZWr_GzR*Gh1WzFo3
z+AA0vGeM^xXYalq@GJnZgZ$@=j9(AX$O;Op(iR{D?yFa`o$CP6TO}?yRBLZ-Z(Eib
zSVvSC<kdJ#%hX1d=yCt-?slu}y#G<0pNp$w`fCsgeOq>Rw!tbfz}|HEh|5Y(9zUkI
zohQEZkY?|wPu*8ZKu|C)G&I!pPmcYI7z=&<OFzDUUy-U)1_-{tHcp?ne{?P2M|HIN
z?*9HC*uB4ti%OYP?Gg0tX=#^ZEC6}|cv@Uv@AmUUx{@W6*u@-Y<Ny>7kMJjTqS1JT
z{p9_adnzjCun(#n7e*`WyW>rKhH2z{PiC2i^B#&E9UK%wMZD!Og(z)7LEqWiTloI=
z`r`7kihpARt8CB)Jh|&=&32bWPFz}WFy3H+iCT=|*XLZ!?o${Kz59dfkCv`uPW7ZK
zSl@{H`Sae|L~WAAs(PNi{?Kx4?SBh#e+|e(bLi^ILf<;?p@Ouu^xAMqd+MMO1Q_19
zVm78Jj4BWr?&yI856>B5g1y7%^oXCIzh@73Z*T93fdO5G?WjEbPaQ3-H|(*ov5T{_
z&Bet6G}P4mSFeT?)NB!|C@a5@j&5X<^x%_{N`Bg%oLNx7OGHSh_uxU}6_s}mzf$h7
zUzepu($mxR4Gn+x^=ZNI<Fvid={m}8ZJz^3bTdL^BHP*hcyCpZmbiRm+1WdLpn{uj
zNmKST?+76xA(;<m_EC&6EO|n*UcD|AQ#!hjqJ!}HnUTQ`1+8h=PEf12x7T*o*lY7H
zDJ`F$PVQS6yRxz@Yo0GsYHDZ<rOM)Qu(KD!-~$-FoFz%jnd7r+l6=fq@na&Gc@jQ-
z>YkY~qq%s|8NhIONXS&e&8L5%Nk9JaZnK@)Hv{hEx@r*dMhwQzymv4dZDz(B7msob
zSB{?t1Ynojj=p<RGQ8&1FWWy+TsX+7a5So(J+kbn9dW$B?v}l-&8}sX^dZ}7THI|d
z9Cm6bsJXcrur-l?qn}Z=E32p|EfyYW3rwQZ3k$f&#?DSlOX!6n!1Q|DG-$-6nRO2X
z$@u&^y|R+l`*`o}`b2FH%#$`Fr3A`cJ1fH%=tb;WU>Od}c@>v$-D0SAThD)>2Ho2B
zTqNNhBue4v6Z62JptRCbDif~<$GEDK-usL+yvD>aLT#hyl$lfXrJqrpgqJWn)XHM`
zek>Ce_@kra<*-dq&ogX<LE495{Hsed1Y?nDBPOIa`fCt!N=h@&u{bVGaz@4o^fX{0
z@Ca%la!t0UyPFJ9T)BwP{rjYlbPm%^IK-C(uwyyZ<n8QuW@cwMf8Oji-TB*7?n)B$
zN&0hcQ>SrKL_a*0yQil)q$sWU^Jfv3KjL}Y%d7{j0?TS2KPpf|<ITMa)~=Q6XO}Eg
z$^xM>lv`g0@bQvS!qs$ZuH)OcZ+;MfGP1H52-HbA509@m{sxgTqX&qe2{-YIii*nl
zybh*=qd$F$f_L{u?#UC5%WQ1X@85?2?;v;g?ldGRK0f|!3yX}^n9H6kWdw+PIz?b$
zVEG{#qj<pngl9q5BVJx!ZlkYMzNgD3Mdt0K?>nEs6kvLKw5wO`dL!BQ?9iaw9-XJX
z5qlN<-WO#AQ|STH)Oxzf%gYP!@x8(Ie+eu3lAWD0Y_qU2-F%6hykTm}w5_GZVc?5C
zF(ILujt-5I(?rb+><0V#({lN00s?}att~SkH!KC|#9WrN-o?lFniV;0Of^1tb9;Jz
zc6y1DvPnBvr(d*9&*f({yZL_uC#!t)dIfn5N<%neL)X^Ub~ZLl(E+2&`$i}#XXGIb
zOs>0o9nojP&+qjcPcB!l<g%h06rPZ<RxZ@i8JH5RBF+IgTGv>Xl$6-UE94ng#jq(v
zekrL%-8_&!*^rIcOw8JZv3nZ!h|YV}+S@j!G|<F6?(N%6i0@l&Yae9G`YO0rb{FG!
zD#Sg#?YRlGSs8XzWXkxV2OJ*$`Bb7?V0`j7Ju30!Fu++U`>QbQBH_OP!!Wq>l2IhN
z2({SpBw=81Fq@E&_PRhoB^Thc|IA1+Xu90ls$P>RHKauG$Z_q8b+qs1H^24Db6F)&
zZ7vwG_|*T8etu-QP8UFaL*0<_oHD+p9vVA&q}7S-tAJ-5vE@CT?RXb4QVPjGPDJVG
z)LK)fu{xzGS8_Akha<l*ZU=ul;|=%`t4_@mCdchZh&-X)ps!t~Xre%asoxp4&-XXw
znW$<oZez4^kTB}Vqp}WPXt92fD+dU+wb#ZbIQ0(o2-7&zjyC<Ns*I?NjCLh^CV4KR
zQuaUxr)5d!4LNDdxbL)6)_PjS)@>dnYMDdZu$TM|c@E*S#|QHK+i;^F510<hFvH6@
z$ZhWtJ`j&%4`>F2x6GPFZfc|{D00to&m-U&HefKG$0K&Qv{XEZL+;bnQaWn!diqqS
z#0mjc2DXQ&rc7EYjysJL?UFYd0v2)=L)w5G$-g_T)Oy7B){p)rXHp3}E1j(CdEk%t
zyIj@!d7@E4gDPLESl#<&ua#W-4!H6k5V7-h5%z0@O81l^+jL%6J2&e3?=NpmxT*df
z5>~0Miw8Kw+2jzi23%0e{y*u;1?=Zr4GoR^Sor<bq`I2K7mz8MxJAQIl_OW6Q)_p5
zWcvE#*D>X;_&1vF05x*^w%<f%2n~8tjpsEHUINUhD$^f`CPiRe^N43P@caE+!?4av
ze_cS1aqj(piQ#``SU;TFzwG)b5qxmq4#h}oT_dp{@Eg!Ax_?Roi7uu=r|2|%pt@%q
zpQ~Fi18i9<;5O3Ojtp6sw5o6Ktcad(&fJ9_qO>mHQ&d>UmywYndg~mZmBZXOinzGA
zz9Y8bfVbjp6U!Pvi~v`fQd3itkW1OATCVl5vZ+btjT}%vR;twiLQhUkQnY64M0M5G
z5oTs)T4Et-XCYNtDE{J5tNzS>(YgNm_3NcEvoE=wFwCa_qxzss@^CKpy^ytz|8~Ew
zimZ2b!8&4Eq-QFeWcx4?uw<bg_r}&1N~oZAu(jvUg&VOoF*o8`&F%nf!NkIvUS19Z
zEQ)T4$eRxz!Y67y*??dHW(;`ciwF|Sq1pr$-@257iYkCi>Ht9;cK$xtS?t9FnkcBg
zUYdqm&vX>iu=E*)$IjoEKyi+FEa#zF8^7;H#_$X^r+cH&2>jrqL8OeY;d!fVCtL=N
zDgjk6d9Lu=3>9J^g*L+i;dDaZbtZS4Ni4J99UYk#bOG#Z1YYdNyBo6V>g2$1Zw5=B
zVDQ%NP<nZL_v9N%oSf~~yZv>^>6$2}kr8dIKR;b}p7cGJWOM{9_P@Yo(TQ375)w%h
z6BB?uXQAQ${qv{&^=rZy3nwQ5Z!a%B9i2A7uedlkn{RcEA1Nsj+!PQPN>?CjYj591
zW6<4Q^aOtW+O<lH4oXrw!4P&dEs1IR{JCIQSXe@0;`fGz+jbK*!*)sR!#SFq0MCYx
z-U0(GGU1*+G5zKZx%}O`n`MK>xto9t%W<uX27`l+Nd44qZDKn+J6Ac*%41FexAJ1~
z_Z6S54o>Wbu`$Ey0u|_H7<|&w^^Nm0A?x+$$>*>E-HR1%gwr#?JO6J%Z!8l35xqSz
zN*#Fv4}{)@-YnJJ&3zbFMD)VYOkD}86ZP18{yR11RI;R}P4^=~y2DTBC+%y?8j@P{
z20W2()Lo36?v({D0jmws^N605jI4bi@8Kgp+Cu9=9yF-uqb06{AO9KAL9h@4Flm7g
zV<5nU!T2OUS?6ti3*-*(UnNh~Y{n`n>}z*vV8RQAq~taz#RoRAq*M1a8HXd50Jviq
z8Xl-g?rQnBYb~Q%jhPv8N|tDCl7!#dCm7dy3}<m=nwA;BN|wBhP}Z;KFB=92SP{LA
zjm0V%CQdKflE2#?#jH?aH;&E+ZoNVzCnpDV6Fej!AYh0|<nebZIRyptrT_vET4?#r
zu>HQXKsT0s@+51uMd!aqbGe_MO{=xzu9gkQEumMp0?d>_o^V0CRlCfxrxB{xx+-LW
zl@n!f6{zI-AMscS$O-=izFoKP{ObJYK49L_i36BygFk=fT=<#bKQyHGQ18~sM)SAs
zZUq?`OvTGLZ(aaeQ1RY9IT%-<tT@1H!^XyD5fJ!IBfK|ceE|uVPhVxHL>R=M<FD85
z8`n19ethsj!YzNmL^l4~@UpC|i?F<Rfr|ONF!Ck>I?sD$|C@L}hLWWNb|p0CTN|r_
zaj0Xs<Y}*kfFslm_Kw5tKiiQKYlUUbrw)pW_!xbMZU-BWs>_C!fpIIaFDWd1gSbQP
zj+#fvv+b`>+V8vM_}nW?ou9!M%ep3qMRx(!4>Hf@?@Se!x<%AP1AD^9kE*J@iZM`r
zp*OKD+Y~H)IV6)lQ8%y2vOHNxvUgt@;(sU+i7HTyfpPouu#KITrwA$)oexDzo<<*b
zy(m#Kf>ZLc{}rC?RLS+m{4*!0JAVFbaqgB3e)`Fq2AW!bH3O@iveRBYH35ioR#vEq
z$M}w#u{X3?0~{^`-uw5fSk{sZObTyeW7FL(rQy7>H>u(QmL%0OQ4HE;RaKQo{EP<o
zm$3w^bh<NK-Rl+u)d;H`(M@wQ&eki=X%jB^(^p|0%vWXI`#efxGgw8*%J92#a+o~r
zQtMh))Mtzr>VEx<j3VJ$I39!Sa<X$P^$z+RSR4qSA73d~dnGP2O90UuG;(VIofe1O
zUFMHdfJ4a28BzSsJpqYCAw$1n?+t66>vrQCAz!ntAIS)!(Uyw91%Bn!BNr_LdaN{;
z>x%ezfMMb@LO6w*@<y(T(D{fnz<p!?0ou;PD!7Qc($;oM21k09Y@7$#|H-2<_*3(%
z7xwXY-229gOpgFs`@y=2jc?8v8&3FsU<HSu2OsFc%$C(hqJHWUB|9IE_>YBkC1nKP
z1)v<b=*Y2-MF{z;%kJEB?q`!ThwmS}b1id&UHwnKFEv|84$C}yu7eWX;qlKC?0u}i
z#0@B_pURD2kT6Vc?PlZ)^2#Ss7eAiOEr*h)8I_9Vr;Tj%e#}9p?jXo!0o^twV`7mY
zYe1#gPsN4uOC4ibZj3Ub%7FaHn?hl&|3_R${u=pJ^51;g1u*^ox_DxukaRB|@}%p-
zr98JAol{Fd#>4_#I}xBn-H1y{8dX;9^;k4g(6lbuKi57}$ier%Zs~#RKTYg63dHa~
zJ{JEFx;u>YU)&g*2z*X96@a|y05IFa%h~?l?24995gvjt+(LT+(EB$RgVI5RLf{M9
zLCD$R$sB&u0-U^w`3Dd!Ja(4?NA2TP?tsj7qhBYbu#g-?fZx^OCN|Sefd|mH7!%{!
zrH)r_QeC_V)B+X^tor);Xo9`S_uMBwM{~>zrscO)uB&v4O%?+Ei8`PO0eq0*>dzKd
zQBip$kYFVl$qoo@YIauh&#a(oGYs9o%55J8k8pEwy=*nJ)UuTgBF-s#d<0bBjP&^-
z8Q?^n^e!kS4ejlC^65o7%qyz7xxOMApDSM|W|vdy<WeUI+ctq%@~BA9VbI9!(MYM~
z#>PfNj^^h=mt`IFQcd|xry5?q7qp}VLZAn}?$&0@1z-<0S}&T&fsA;xyBrM6*B6s|
zCdhw2x(IYXf*PL^*91#YJNYAhe#g?13#}tLFWf^DA@DK18h3sl7|dtWqoibj_>+;5
z**Km&XG%^^-Yu_k-!!A5rk*bFJ-u#bZqEPg7mF9*6j7HYDztuylm#t6BxMwTUP$75
zI3GV$>BttRarMTH*1|{4d>|;%6603)E-g=57u4$H-tYN}eo&Cn)s?5aea~+47}tcr
zzFig*y984F0VpSE!qjuE3J=EE*4%=+*PuhDf%>VasMuidvrS)FRW%KW6bPEzfB_yD
z8%I`5`q0Y;lirn+!+sqWwh2|a378aMP1~TH21%bTsyVp1wS$7i3vxIX&}dldRb^h#
z2e|c%vC%GvQTzIc3!L|-@~hWS6`eRlG^Ws8-iy0jYiepjkctTp>xdh}%fT2^AVeL2
zRGDf?hh8?2!m}`M;~`X3R4icAD0$K;16m6qAt4&!LO)G0srT8vzYIKQ?P)Ih(ZBKc
z>sb7J&kqn?1{&1S{(2NJ#V^@sW@a3^CHGSRmy3ysJ?qUPLEnF4!$B`k=Yy0t-9KUY
z@*o)mDFBh+R<p+J2kEydjg5_I`Am^WMhV;)*pLR;Ds>n;fcvB6t=W)?FldWnCWBwk
z*C!ZRSy?OHH`B(2mnmszf`XYmvL_y;I9+5!;xquXu!Mr<hlzkrG(9`(58sU3242gy
z`>A~*+v$b8c$=JZO5ofJibh8>RW34!Ibkbvp$RVdkiQ0@(bwlM8`Tf>tp({E;W?&2
zbFG|>lyHFN_!A^v<PFH#VD|uAmfg1fd~NI!Fi$O@IoUpRxO3-D$m`clpzPWv6&yJ#
zruX27wVG9Q(hH%*({?QoV>gy^3qZBTgy|10Ra^aBUtf;`9d_j7g5tT{@|DyPWsn7$
ztjd}?^S0y_fknZB(dtb?LTHrK5&rqM^tnHe(N_d9_E@|!I*Uun5CW9XaJf3L)ffoO
z1@JbSV9K)_o#(lBP3FZ5v3%p&*MMQo8vHP>Uc1%=y9%J!Ps;mfXe6&L$+%3&vOx9e
z=H4Ez`iq3&8x>=(phWh)Pk#Fr2Wa2w-j&_;qgeg4-RSXi9hqK1uf5@?$hGEafcWT_
z#bZ(z4rL?_UOeIly`Ghqx0~iU#IQuTJllltxi>L`=r0=A`lJ2=bpwOffa6BH-V_*C
zQ3B)yrmjI^y~aN#h7uURbb!C*d;d^&(Mf?8L=VwpLGKbB?lsw}loSN0zXRAja%N^S
z7|zhSj%Gq#U4_vqM9Nm>Hqh^(7+APN9|zRW^9wXfd5SYfln;)NXCWn8KY#Lh4U^Fr
zD8;k_7Wi=*L)C7)XB)xN4ddgC72~e-=n)S+C8nmPKAWtQTmzuU&dE7jQGc43R|^$k
zs)O@W%exy7fz!VaZ^#Vlmiyn-U{gNYH*s+R;BS~7cxZnYiV?c>h*VNPEl@=&|0H{&
z<z--TVI#;n)skCaV&yk&K#*)9Vg$tB;?whY5AE)N#RR}DRwfmgog&c!i@onLJ<N@^
zKjwj83vM*ccB4b8Ppj)7?*!Lg$xRC+zgS3chFP~lXwTgoM!K=FF`Mc}ZFnKXu^krG
zPfB6Oz(@h{3@$HG*A=~woaSIva)gQh;NYNPaBxsKnH?etyJR>Veh4m&3?7YOn^p(p
zEL9fV1pC!xPEI@w3=D`Tr)LJTr`9$frN=YGPa(ER4(BB)Jz}5{Wx*S8iQM1cFAy?;
zCr9TwR4TLI8A>iv`AfuSyKx%jvV;-ZCP~QBNm>JMKU8>ZJUkIA^bKE&-~GYTu64II
z->~XcON$&huYS8)Mw2&50f^gO`khI%(EX{v?UGFC)#A)+0p$1DQ~%}KuJy1GoKZj}
zE*b?nU>+7Xbjr$<1^yPa)rHQdJ4mLT`70-i*Xh2|%PgVuUc57uWWJXPwsS(+;inqM
zI1TB)M*au$b2Gj@>@$0O9|(&OAK5AUW%*p`#Ru)B;|z9uQ*4<V6oNHR@f$wp9$hbC
zDhnC7Bcm<a`9*D5wReM_QWHaK;>F$Rd(+xGFQg5$|7z<RQVvqQ-|IDH4cQl*sa*?p
zG@X{oY+fj-Oi;>xZDJu$c^cOw7vZjqv5!^g$9Goxgo2Q5Kt4O`^ubj;D{Mzx!n$n3
zKb=T8;)G$7g|VLJsmIt;BJa2jm^4CIC@|TM+8w_|3rDWVNm3)*RVY-0FIG`c!ay~*
zK6BwFTWEc16HV*#zzdvhHD*j{%Ax!(LxsW`{ocAZtPCuv*BFW&SV<DF`0;O--kDZX
zZB(%Ql`^H%zM^$IRa>@TH~Lydm33bC4*Qx;gMapza-Isvf%<pZX+t`5FZWk1<f@Mm
z&xvbKzxny{AW1_sg~~@I<>O^7$(Mx4uaG}RT<RDNDH{^VUSz6Hpe;VNaT(pl^txMb
z`X%KHA`~Euzi~3-@hee(_SdfWN#@4k*Pfvv1{a~WMEqUJP#lErYt3uItL1cjK94h;
zCb~&ObkKXv&Z<F8_r)DsPHe?yl?&%_nHf!-)q&2r_}_)ldgMSJ<K59h>MIRGetIUI
zr%Oo+AxEHz2j}_7c`IOXq@0;=(qO6#D4+_GO7h$EL^bq@Tb>V8tm)c?o;$h(96jCE
z;jp8jM5R553%ZTy%zSM|0&u6=n{t26Up{Zsla$YlamOpG(8>FCJ99c&|5Nctrn1m?
zYOpSg-@;!z6=x`sr0hb{7QAdGWkTG$Cwr&Q=9eauaFF*T2h5oc1k%jk3vaXbB62dR
z_5H8=E_JM!7m%<nT~575C&(7+v+DH*d#XN_&&4RfW5lLG3z<yaYKgnla%|m}J$|IK
zRM|;^lIz_tL5S5^sDCC>N98l6$5`I>#jIkf3sG5+tF@-S5f*?dylzL<d?$nQuPsYZ
zUW7XR%kSzMgi+U0sN|}&o1HxdNA#B4vZD|$d`w&tO;jXKfv4W-P$yP1Mvbi5XgE7h
zLTSXVu@r}#i_>O(_F%Z=2kgLIBr-?%edWR(mz>BK@?2Ol19I8gE`rlrS-wqOxHBC>
z6jn+`y|a4`gv5GxXC@J|!AKq5#45R-CdKU6BZ@+7m$s3U(3V7D4EJ)O$ze+a%HvCZ
zjM*m?{hQX8wGt<U2nMgDUbA{%7dG)7D+wc<W3$@Dyw9N4+6kxRtdUfQjS_=6sOhG5
z@ST9lWO%}aBLdGV%ORYUkH7gIsb+|0xT)q_JR%%DQIBjzjM<A&W%i9>Ut#J&ZjUj^
zYp`N8h}bm*Xs7q%z%8{MJ!xeFg^<W>;gI}gy^?3Ob1S~q3aCp;UeSc-eofLuMEuH_
z{dGd-eV({jxLALci6Vb0&eXz)Xc!Dg!R-8P)5GsSiZB|?5o2QsgH!!KF$Qs*=XZV6
zan><taRbi{=u-z4jbeX&3b48^WGy251=kBdC04`TOEq95*G=_C53v5*n~mpKd{He+
zX_rroyFW!z9L1{J2KpTF*X(0hJPdUNHGA7*u<y6(Wb@U`!b>gjc7(BW<jTuepw1;!
zT677}Zt#+Ss!HJ3!|WFuh<LzU#YLR)s-9YuvLb08{pIMTQfg}cU34W`mw80!7e9Ak
z*&8yh%B+SZj7ghLm290eDR@ETzDyZ)$Y>`|B8CJNc^VZ*L8$ttC8J)|yb+P#2s;(c
z%;GzzeV)x9O4$>0S?kl}nT3qEF+$tn8z+~HG_Cn>CPZ1aJVE}9jq&*a&9AwhDAyZn
zjuI(?HEIxg-eIWAnl>irTPPEkIqfxVy^V0>QY*~F9QsWNg=TT4dR#a<wex`OwW3_d
zbkAKrpB^NLMyaoVHAqJrYxE+IkrmG9TWq1cOGdHJ42q9^V-wB@B(Be3kv~#*cd`vQ
zQeRKRwqkgy-QtN$^dyfiS9zC5Mf6j^lIq;&hkdKq>iL!jW!KLU6Kf&K1aqorgk|>g
zD85gDn`%>)#r`=5MMbdY7!@g|=;PgnTFUHvOQV1htSRHnDf!DT9+b>|)g03x4&4}Q
zqAE{_Zn>g0Bsb$*&D4}mFOR~kU8dZ9C}Hr?#jTwM$1BS(144)*V?}6!eJ;?Z@yV$_
zBe!j#HW#rLq2{1m_9_Gr9VbshiDC_wnP(t|BN%5wVHZr~p-m+o60H9gT*02oqH60<
z^C~s$b#<;3FipbbDJE&l^Hk4VHj1ruEIyvZ>>O(DNDMkhz6oC2iN9?-4CTyMGgbPf
z)8odXMNisHH`ST84xsWiR)w9noS8&YbGUW{<7Nv8-xHcz4$8i-cS!xcldmEe2^1hd
zR2`NH|0X`ldLt2e+h5fjJ%T>sT}Q$p>=nZ9X8p2DD9FurrR;K~cb|`nkeQCEMk(Ax
z!hmrAK3X~xBO2Erj07eIIXZ<J{$Op_G8+47A%&tMy*^Xi`s$1_JFhvhXUT6k{7k*l
zjBo1KjwHip*m!<QRQ}Ru=DFSwBX&xnu#JWwg}%GBKPWq&_UgSIA9ziHlwS)Zd&2J6
z(G(cB|0N8ll8b`g7i&q9hZJWhkb2njyq;=~)PhfuCHVnO^<UOP-txLvqPd})yBGGH
zdN)}85Y^_4-RPxBbk;Wiv>^Q*vWh6D@YzAcC_{|e7GIy1$>MYlPYP-#tXx<Kg2kqN
z?Wb6BR&D->6yNrui2oT1|JN#3-33RQQCho2ntF4yUxqlkx+U!Emnf|&BgqYNKQ~32
zB!~(S0ae$(wsc$Un><xx@BP83M`p(07e9}87?3{mZ&mR;oG=QlrtRb_DP}KO83<I<
zg?vO_-MLlg8h&&Smh?lwTx2~6LjtMn@!MQx(oxvS&ne5LM!^tL{b`QKgQ|DrgP_}T
zbXUq73fsDqn%dOT{xKY5uHAtU3bwjuugmvWM@2#{o@<t_qLil>i@L}5rF>n4+)R_!
z=TtB|t@nW9D?vp)b3SEA%yQ9IRwc&Ae^ys)kn`YbGrkX*$UHTH`=ZhP60}b?%W@s-
zS&aIXOA8AN!V}%y1==5Z-6=02mr}GE3U=}{g$fPwDxKyD6?w2trL}Sc0t1CyjMAt_
zD(p>SrGtB(2?hrSz7RaT5UP`#k%6t7Z<yn3kb5L}Q6?md<6lABfBC!C`W5X+U{Dxf
z{4WA?@YBBD%g+*nE*fVap5puZ`VupWQ?bd1|H{lNs5>IG9{AD-UV~rtzUKzLFiX98
z_YN0?_?`7hX3!#VkeZ#}Dp$D<4|SufpD(_;<B$6Y%qK!j^)T|!&CmBAj)4nS4)*us
zP|^bHvfUM36E|KMVB99XFTy->_3G8zF!2JrurcLNHnQNDxqEQYKF7GmodS4_qt?K`
zH@LZp0Zo&3=33I}e9?Oe-h^2|?=L$nn!x4C?=+`a119UQeN|?ygeU9gXS`=y@%4R)
z<sQ3M&zA>C&~6zf@0|xbtD_h7_1_L&Z*Om(h3OwXBEvia#|-2n=mKG6AWhucw(qh9
zc}XFX;f|7$Ql4~->fkg7`*QwrK{Z%xTH#niaNffTGk8AtnNUu&!xx+xvr)b$>9$hw
z#!+a8)5n+?83o2$?r&g9VDA705S-^JU58s+TiKS0&8s>cK=Jll<q1t#m2EWz675QL
znH7OVGdV4cw)BIyCfG_KsS~?lIllK`b5_i>!H*7jp;_Ri^$iRRav42=2Qe{ndH3$!
z@Amd!kh~s)Lt0-;%OVNLr6%xBJ9H;YmcKxI`s<FCa@m#Oede3g*U5VZlQCyCnwr9i
z1Y1L34!|34%^NPStfVvz8eY<hbp~uQQ9anCtt0y`FRyhQI*woIfSrv3qt{HCwUEhg
zcy>wzeVU;7aBvm~2b4?IKt;v}r+fWoMJzl#r0~caySuHhZm@I{BZ~L$%Y$Wxf{yMr
z$XlcN?HNk3e9j9$>1?raaHjpqq=1T(^q}%S+PU+m>*F*`<iMK@Nh#6XFbDv<4hzVN
zK%87BWx9o*;^fu^d>42!gfTHOZK{R97y^3Ca(=Y~NM5)0hRlZwA7LS;!^Mwjg{<Q8
z>Xw6-&4iO2M{O&HgQU+6%&~EC(X%6Z#ymT&Kc|QD9*vf}y9N2;7-;_m+KLb45-xan
zM+LC`z>;!sbYuoL84xr(0zyLYSH`O=CVYr#`4G2pmy2h674^fb>z%g;#+CCc*O-9I
z0A{d>-o6HdEGp6DO&A!%PxmLIgshj&9}vguN7-AbP$RHq@8jd!fh7?T6@5=c!_A_!
zw>%gHcDX*m2yjq?Rqg*X?^g$$7@_>1yT5#2|GWFEa;aD9e|p4${U1kJz@l<~&@QbQ
z1B*i+r_lYP_sA`=_N-r<Qz?>8=ruaEl$?NHWPm*%R~rIZ52nf(i}6nz>|)?B2SIc=
zNLEIMmYTYC(AYDtZ4y|ECGY&Nl_T#^U#fvCgUC#VQx3apS8nZ(IhXGxc}m)C-Oxtf
zOZ!Tpk0`;RiCbp}vx>^fud*x;fKH73`}Z06IcKWZ>-@oC2M)&w@S-%C6%CcY|9^cp
zqJLz`;Oq08)qtNVcl;fWb}XxH2d)511TmW9MvExEVvo~!2IpB6N2J8y2nq!)ZHNN1
zHx=@$%K2$aON%K)t?Os8-}OrZH*ZGA#Ju86cE?2cUTj%_q|YKDQ9V$DN6OFuvwH+M
z`Db%JCl?=k1O)~*cIGYAMu7$JO>(mFEHCHh`N<~D0i!`fH#nO_2>j1g?R`dNF#A|B
z@aBavEpPHl9g}JC4E+xaTM^K>z=*Dllo3IilM>@%twFXw#FGR*7VMHXlXZ-cvQ6Mo
zKz|as?cpH~q-GCTC+WI-Kdb$N#6dgP9@^Ii0)xT|^)-y<MpLDu^!Y3M|KMI*h)5K3
zeiCsr>uJ}AMn<=>muSKTobj}x4yF-@{{H@(jd;vMXbufET55SgaRz7;JoOis)2@*(
zbbTa3(9{?B$it$f&uGzK0sP9Shi>0Bv<(iIm{#3<OjAuVP`~7fSgDNxp}yPos+q5z
zkh9YupH%{D4h*xk<XNwpbSu!Nt9zPJyF*;5iT@_4_TVF;J}07IU6zA@$uk2VrJ}0p
zUFanU3p;zuUL_naVG$RnyTEbJufw9a_8Sm}0dV99-j%KW*@q7dV6~Wn3XJBZIMkBE
zK{0QE&XDjlxrp&5HsU}1hs5FRIrk6aq%Mu!AVoDb1xRrRs3CN{x$nYiE%%O|qUrlT
zK*(>5SQoHzaI^`p<yA~Hfr88r2MU09m6Mlm`tgHk(rcT9p(@iHXu&fO;Ah?HkH;gp
zgJ|v!7!4(3Ipn$Q*B!6<gVHK&Hx>en+1EDn?hj)AXl}SuWb#XennzyyeTfHUa0mox
z2))1wM+`{sCEo(4*d-{pcb`4Gil9RgmROO;{U1f!QNmrI!`Y;znZd}$5(=a~tm!g8
zKZT{GC7LsRdtH~DoZJscL0mTsI;($*wi!^D|8LQDzV;6I%%VSjjDYhu=0Gz21sg6d
z8B@3d(+g}9pTjF>n^C?9f~J$uuNj<%<q~<RXW9kZz$K&EMmVYAfUd)5S!$mmdFxLo
zIq!dHI6s{{pPuW8)hoBT1gAl4c6BDlp*1Q1u~=MOyaAlJ`QKlu-~(xZ_<5LK51cmo
zltx}XG*aC7`rH_oL6^aCa0#Q`h0q1>qT8CJ1e})QP)!VY)Ev}5MCdxadmw*b%VmAy
zBS_W6#KalU{%mZx!H4loI7!UwzyTK<n-5AcSZ_ZFS<}GzvG;G^-i`SH#~(2^fWFM@
zu>-BUwx(vN%vzT&LLPk3Z^0l_s>jW6%bjn0e0;dx*Ec92z@Z<d&F(8TWOBL{_WnIB
zB;FtxImA5oY!dHr*bNs4vV(=yYr?UevD_6!rpvfea5f0$*vLyagCMbrB%eUrvH>^(
zrSdO0eIW!A(Z*ImPoN&V7JEN$M=LPpY`ZKDmvH|1na~UxOm~?T4w}Y|wV1~^TblLU
zT|!f>iBPA7Mu-Rqa!MGHTV4l+vde^v9-JtPahGwI_%Aij!KXTbK2f!}u+ZkZIsy>V
z>1byWj?a}yW>pQEdvc<zEN!xN;@`e)MIRWY1F!nzVC5Q*gv6+;y#4(5x4_z4)CPXe
z%Gv^fAe-N~SI`I4u3JEKrWY`ODNrrmqH91=x9fv*;RWdC3-j}0w;&jV?tbiSeJfKY
zuJ2~;oar)XR<r@s{VjlQdDc3+zid)RXb%q$PrxfboU6<0v(uxXdgj$6RB4qh9Q36+
zO`j*n>I=j!x<|MJ6%NN&^lHD8r}bEjQ}2n+ubfAq51@j^ZLG%ILK5quJH%FTcHuuA
zbwKUEw{kv_swP)O)7(tOXN0wVgxZ;Xf7qD^(`kFeuVzZwqso=)$flOFtV}|d;0V#4
n|Af%LpWcOYymBgg=NRjBBvn2iCGWy1V?^oheYt!Y(^vl&<5e{k

diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html b/docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html
deleted file mode 100644
index dd7e95e..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a2_d_e-members.html
+++ /dev/null
@@ -1,193 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_boost_a2_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::BoostA2DE Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>bisection</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>block_update</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Boost</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>BoostA2DE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>convergence</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>convergence_best</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>featureSelection</b>(torch::Tensor &amp;weights_) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>featureSelector</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;BoostA2DE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>maxTolerance</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>order_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>select_features_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>selectFeatures</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>threshold</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>update_weights</b>(torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>update_weights_block</b>(int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>X_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>X_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Boost</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BoostA2DE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">bayesnet::BoostA2DE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e.html b/docs/manual/classbayesnet_1_1_boost_a2_d_e.html
deleted file mode 100644
index 3a95eaa..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a2_d_e.html
+++ /dev/null
@@ -1,417 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::BoostA2DE Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_boost_a2_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_boost_a2_d_e-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::BoostA2DE Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::BoostA2DE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_boost_a2_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_boost_a2_d_e_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_boost_a2_d_e_inherit__map" id="abayesnet_1_1_boost_a2_d_e_inherit__map">
-<area shape="rect" title=" " alt="" coords="13,300,165,326"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
-<area shape="poly" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::BoostA2DE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_boost_a2_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_boost_a2_d_e_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_boost_a2_d_e_coll__map" id="abayesnet_1_1_boost_a2_d_e_coll__map">
-<area shape="rect" title=" " alt="" coords="100,315,251,341"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
-<area shape="poly" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:ae0c18c62fab04176aef58686a74e1a0d" id="r_ae0c18c62fab04176aef58686a74e1a0d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae0c18c62fab04176aef58686a74e1a0d">BoostA2DE</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:ae0c18c62fab04176aef58686a74e1a0d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4531b55d3a7ed26673f12c794df434b" id="r_ad4531b55d3a7ed26673f12c794df434b"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad4531b55d3a7ed26673f12c794df434b">graph</a> (const std::string &amp;title=&quot;BoostA2DE&quot;) const override</td></tr>
-<tr class="separator:ad4531b55d3a7ed26673f12c794df434b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
-<tr class="memitem:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost" id="r_a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a54bb9e01bfce0c4a3f3b1ae890d1f646">Boost</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost" id="r_a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a2590c3315a7a6d40c5a5dffdd245bbfd">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
-<tr class="separator:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a457c721518ad1ccd52587002e7d60679" id="r_a457c721518ad1ccd52587002e7d60679"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a457c721518ad1ccd52587002e7d60679">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a457c721518ad1ccd52587002e7d60679"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
-<tr class="memitem:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost" id="r_aac58b795401b3b7455fb2ce0831460d9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#aac58b795401b3b7455fb2ce0831460d9">featureSelection</a> (torch::Tensor &amp;weights_)</td></tr>
-<tr class="separator:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost" id="r_a413f675b6c2d72515a0832e125f48fb0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a413f675b6c2d72515a0832e125f48fb0">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost" id="r_a79e4c58021af69e26126c8f58d1c3b29"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a79e4c58021af69e26126c8f58d1c3b29">update_weights</a> (torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost" id="r_abee86d771210899db79678a2f31823cf"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#abee86d771210899db79678a2f31823cf">update_weights_block</a> (int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
-<tr class="memitem:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ae19dc6d4d70c74baf8b801a22a935a2f">X_train</a></td></tr>
-<tr class="separator:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a023913d253aeb83dba60a15f61a059a5"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a023913d253aeb83dba60a15f61a059a5">y_train</a></td></tr>
-<tr class="separator:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a3945ec0bb41206b421632fc999eb7252"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a3945ec0bb41206b421632fc999eb7252">X_test</a></td></tr>
-<tr class="separator:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a88de19ffafabdcbc0cf8866d5c059138"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a88de19ffafabdcbc0cf8866d5c059138">y_test</a></td></tr>
-<tr class="separator:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ac8a53b6bdb07aa4f8bfe43515da8228f">bisection</a> = true</td></tr>
-<tr class="separator:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a9ed44d620c1f2e5c06c3695585e40860"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a9ed44d620c1f2e5c06c3695585e40860">maxTolerance</a> = 3</td></tr>
-<tr class="separator:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a5b4a91f940ebcfd532c73df0018acb3e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a5b4a91f940ebcfd532c73df0018acb3e">order_algorithm</a></td></tr>
-<tr class="separator:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost" id="r_a71e17067522a19e6d23ab503aa7cc16a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a71e17067522a19e6d23ab503aa7cc16a">convergence</a> = true</td></tr>
-<tr class="separator:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost" id="r_a985df40f71dd9a64d0fc9e66ed41595b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a985df40f71dd9a64d0fc9e66ed41595b">convergence_best</a> = false</td></tr>
-<tr class="separator:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a57bf7c3a220afd538287f88be41f463e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a57bf7c3a220afd538287f88be41f463e">selectFeatures</a> = false</td></tr>
-<tr class="separator:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1dd29281582d7815c7b3302d61492bde"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1dd29281582d7815c7b3302d61492bde">select_features_algorithm</a> = Orders.DESC</td></tr>
-<tr class="separator:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost" id="r_adb59196a4e112d4c1921d78766d7b966"><td class="memItemLeft" align="right" valign="top">FeatureSelect *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#adb59196a4e112d4c1921d78766d7b966">featureSelector</a> = nullptr</td></tr>
-<tr class="separator:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1cbc839445860d3e4c8f5a11359c58c3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1cbc839445860d3e4c8f5a11359c58c3">threshold</a> = -1</td></tr>
-<tr class="separator:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost" id="r_a4b290f030febf39c41ff679990d9cf4c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a4b290f030febf39c41ff679990d9cf4c">block_update</a> = false</td></tr>
-<tr class="separator:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8h_source.html#l00014">14</a> of file <a class="el" href="_boost_a2_d_e_8h_source.html">BoostA2DE.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="ae0c18c62fab04176aef58686a74e1a0d" name="ae0c18c62fab04176aef58686a74e1a0d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae0c18c62fab04176aef58686a74e1a0d">&#9670;&#160;</a></span>BoostA2DE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::BoostA2DE::BoostA2DE </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8cc_source.html#l00019">19</a> of file <a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="ad4531b55d3a7ed26673f12c794df434b" name="ad4531b55d3a7ed26673f12c794df434b"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad4531b55d3a7ed26673f12c794df434b">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::BoostA2DE::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;BoostA2DE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8cc_source.html#l00163">163</a> of file <a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a>.</p>
-
-</div>
-</div>
-<a id="a457c721518ad1ccd52587002e7d60679" name="a457c721518ad1ccd52587002e7d60679"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a457c721518ad1ccd52587002e7d60679">&#9670;&#160;</a></span>trainModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::BoostA2DE::trainModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_boost_a2_d_e_8cc_source.html#l00044">44</a> of file <a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a2_d_e_8h_source.html">BoostA2DE.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a2_d_e_8cc_source.html">BoostA2DE.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map
deleted file mode 100644
index 5cbcf45..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::BoostA2DE" name="bayesnet::BoostA2DE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="100,315,251,341"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge5_Node000004_Node000006" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5
deleted file mode 100644
index 83241f0..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-98594f5a9055dcb8b341181bb66be4d2
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_boost_a2_d_e__coll__graph.png
deleted file mode 100644
index 67b6796b9c871f67d574609a15d5d7be5c59d8a3..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16762
zcmd74cT|-7wk7(JK@cdEoP!7m5+o==5K0gvOOmW8IcEuif>KHn5Ji$8l5>(AC5Qr&
za|VebARtkAtIoOIectJNyWc-=bniVjdstT0_ls-IHRoKs&{S7Cdxqf*f*@y=Z=tmj
z1V;`2GbAR2SK>J-mf(Mc_irnqkyGryDRr4K2*QRaqi^VVC$3NW8lT@ik=-1&y7z?o
z#%0{8XFWx?L|S<S+3%Y26xY7W@X(Qy%8al%87SeoqVZ18OvdnH=k0hVHMM?~)M&8_
zS5UPNSG2S!Unc|>5&wKR)gb%oEIv(J@V(i;e$s!ooGm?Nw@*5|>k|(;f8q+Y(OHBE
z|MN%OE@ee`k8QaL#yXIyRcMG(9;3j{&Q2fR>nSfU?`=``EiXnTy;}Ogmse&v-KBNA
z%4ktJ;;o1Mv8{2^=pC}a{P14!jiWq1jxlm`zrjah@}+&R*cBLRSlS+pHv|Nv70yrj
zZamA(v`Q-s5p&Aac(3T_=oo&$M__v|OgOhSwS&$=#MxS;Esl&SK1`S!FNE77tfTQC
zFCYKtsdb*kUF=Hmx@cR>5Y2UODDUnd%SP?Cddvhl9x_~D@|n@8_DK|{635l6bb|H!
z9DRL#o!<)08Y1qNTBeqjm1zyVfBQBB`-j?ECd7HA?*dv$$zuGI!&Se1p*MnNQ#@-9
zj)wE~6o}hmXH(|;$A%Us@Vu=bZ@cEjhx79C6n&jeT&*o1KD;;I7Vh<d=H|iCkwWgE
z_;M8tr}ZUurRO@s*e3_laK)gQiy9nUTpx#$R@5c^4@FtLXK<LVIwSY)-J`o=N%r{k
zuh;(3(fmRO?0b@W2=yhsIE8ifOM-$*uC5|n%D4zxQIUg}m&9w@U*h-g-_DDj?-cJk
zx%D&b`6K&#4X5F>W`3xKlS8}mgXw@%na9Ul?TU9ZjSmhE_V?!_8PnILe0)rGbb{B0
z3x}(Jj+NW7af~|9(9p!oCh96j2g6(>&8$S;X&M-e%!qGqZ>J8gJshM#p`Nsc($3fI
zO@034FfL@-Ntb6-QP8%%y6WripOxPoa6HfIJ@bU9DB$$*@!ySr_HTj>WchlbkN+Od
z#_F3E8*Ho(XpNV2CrQoEGzIloiz0zxVPvXFlGJ<C0kX+{zdH<1=d;%Q@dHarL|(_n
z-p#A4vU4~(fd_`tU$Jbo79Bd8kSgz1K?lQjNq+zM_3KxL^+23Tg;X0+1{6I#iJ+ih
zWp(xa&N$(o6?Y_Xf8Tp&b&&M&<Hwu7e~SbZwMVi>W@TmBI=KHFL7DmQQX^~^E)eWZ
zda+7+tm1oldBKJ!c-7tvrD<w!CxVYHPgGr@I(H67C-L$%DJhG=9No>$&A^%(DMAXC
zun!+NLLL6B^b?Jaj?&5ah+aQEc0(FV9)1&YU)FT<uTURuGZ&gEsQD$LF+AvX+rLO>
zX{A5YWu_5_-?);JPj|P%u|GpC?uwOqzQ?2^vxh*9_ZEk-v2jZO3MCU$*!I$QPCmXf
zto}Qw`u#al>688W-9JCR#$IxEc5Xb}UF)rKTjFLMtL!&it3U0Q+F-kQv3*WcRblwr
z{TAZd-610+kWs?1v7>{8l!jlZqQBfu|M+<OI}*52e?)F-YD#?O%+t_NQq#u=593rb
z7>@2}YipMqen?B3-Pnli?CgAAoBx}Oi!0c!+|V|wr3H;E7Znxt`t4h#7cX8ctgox}
z_V%LD0~JnYV<itsm7~$`-o0B`SU`7lbd-6l>AAYOan_k?pwU}fTMIvbs-~x>>lhoW
zGD~@Wl$iF5QBhIh5fBLX^Yi23=6>G&URI-^pg_mK;FeEa@*DoU@_2+~Y#bk83C<yB
zC@3x_sVgZfD=+-`ansCi>shP#3yh@uvYd;H%i`nK*4ADkRzJ<PvL<sjMAW8_%dp5C
zr|Z4!d&Ni=HJGRS?*-*;yVcd2^y>yWZbyICKWb-pj^|ybr>DmcJaguZV@<?!`=z<L
z`y3p<x3|*@8&2Xe7ziE;6f!%Sb^h6Tuwzfo)6y!z6wZ!Kml+C(Ek@c}mm7ZV?sn7^
z$ak5($Wc;Wej#7)HpB`}B_*Y5_Z2D>O6{G<GY(G9HUAAKlcm1&+cujsO=$Gae59;)
zg17?@4-W=|QBRV*dHM3?2SRi_oSZ?T3}^kfyCl%)*YDmbU%!66?0)M@*cTO*Gvzk@
z&oLNN|6SecqhB?=oSbPlHtf=;A0LI68Lod)B<&g)(Alm%*j~DGdh)m9fk^MWD^|Cn
zxnP9cFs$|Qip-G_13m$P3szQE+s{K^zWk7VCzA@*o1vEQWpXkJR^e7=f0TM=8UZOy
z&*tpsm5D012Ub=}-`)tMUD7Xj#igvHr>BSx_;oebi38Q!uOX`j>r~w;?&N=N?GAnX
z_v=Ueb$`a}c2;u>`?kN!Y9uEoi@GhUa&UzDR}2u{_GoKs!_NAPxsX9#p{@0lBlFqO
z?%ih@>Ge88-mt!e4%;eS!lFj~^%^@?)>Nox&z|+hXk1rD4=UX0mJB#rmnf;I$n5LW
zei;#wam{V<Rb8D7H8pkb?;qcIrKJ-wnCts9c)$PrDbV}&lz`Ow%PV%VKbifR8h7BK
z*1smIuqRW$z}Uw5ly8ta-fLl}_D-hy=GK<51`$3!n}h@{U+kG0&-JGj6%tRMJ}vS)
za2**LK@cV;CLza(tM=3N%!+9!DX(8G5R!3_?CflaFUylP5<a`D&rIulumPV^K1C^#
zWu)jH-Y3V&mk{JQ+1L=@KR>heGzM9XAlmh;?b3|bnrLZhc|*wAf>d|!^YgQ}R8?Er
zSp&j4J5~Q<tqu<kX4}FU_kX-KvmN-|aQc@blvc1n*weGdL-c{va3=eBt=Gm>$(X$(
z+<dbYI8bdGvVR}27-n%<C7qm{K&)$q-Ff-<Xm36{Gg<!qb^lj!aTx!jKkTBS=jB>W
z7;fCSF=)EBz8;>dUl^a6`%6Q@aiVdm&X+y7GL1HA^*EOEnyag;xe#57UM>y-QB$eH
zaq?Ak^wZ^KYpx3y*kNMG%-WjW<4IT!6bnm4u|>OlT5nvy-H!hLbC9!dX=q3|EhHu~
zy?*_AW_2)^PSl!`TQx3lV#2tkrDf(Bt!X0$#o4*8$GnkChPv%A#TzSSZ)?j}Qd+w9
z^B)(rAHGOkU45j~iUMM-vBTuIw}MJ{@7@hh>g)40&yHwrZuY5gQ~0E0;pCQH{>Q)J
z_S?(*!wo0T;N;JxhOj(MNEmm>zXB760JOheF}*nxL@`&~&hok5|HyfB=0@J#QbMGs
z-rtu=+Pi3MjjzJX;pfkv*uU}HYNho)`0-ZQenhCuY5GKP?;yg2IERVyy2~8C=g*NR
zB<Hx<1O(1P#M<26#zTHiRGotpu_$o`fCV`@IYe}FZngLak3WZ;WqkhhDQ-(!+f&S|
z<m8B+9!>kv5&{U3#H6GOj~`!`mX@YuU@%<L9nIk{CqZn>$E2;vkq`>jHUJiDiG<h%
zdthnFaplT6I7v<WTl2lC3PfZ~S9|VH3+y&&Cq+a=7*xCSUO!kk_j9Bek1z<wr;Y`(
zdOPHFVY{I`hQIZbl8#<d-$oY&ZrDxk<@&(nded*y`u*J<uBhvV5&0diWD=8+1t%pj
zKPP8?DP}j6V)Z?FF(~R{vNvv~dQvmQYrK@XGsgfnLSX6xhHvxp1t3pt&V>qo@ZI}`
zU8}W8y^0^6ZK5?^8|ta4sn|%(7yA-c0Sy72j1Z52h$to`gy@m4Z-2{+b2f)ND+9$A
zO4}(vYaeYBBS|v8pA2h?i;EYQmv5QWcwQ(sRJ)U*n)>^<s|Z85sPl{*9E`NaM!Da+
zyXk|u`saGz&r8P6OQX@}E~<ZoJZNYigR%bebM#}cwKe2aw2rWz>vx&GxbbXBlWQ4w
zcY9%<8Lqi<B}sX8A178HCck;3XT`djdncO9u*@0-=m8$U>FewJduQh(gv$goGY{2m
z&o%2Wo&`>-{n}=Zbq0f)T@I?H<?Bc2!FJJ0NmpH-+B-OOS;V^zXZNpsnVL$T^4~Mz
z;NZJ-i8EYL!KrRnuY8x^=u;THt7CZhZDLZAO<NfKVkla7FY~K#mkK1b2No6z)9|S}
z2<D14lsdYKii-JC69BSu{jZ8#xuP7+#lc}%<$B>+aPYvG=?~pTxCQzNg345Xx7t|&
z#0a}doz>M(KtCXVCzV}LKRgVfmI@X7=1t#=a~GGJpOKy&Bdoa7ZZ_KOddQ*VcBU)G
zd)lemgXaAC9st5Tf`S|BuMIM}Nz|@E3Rvz*RTwC>(ip4r^-3#@EGO#{6a6vcKP@S`
zI=DR^1?Lxgx6<F5HfL$2z2*xl=59Z#_o(62|L&wDCnpzP^M~H<toL+<<8i<9zoGMi
zYZ;GV&olCZiY+-Idkr;sbs4_Rk(k!k<rLNB8+^zy)-4t8Dw6)^R}$K^p7PZxXIOq9
z)DjbzE~mn^&-e4cULL)gJDEMurYyo^5?apwfkAd>bGV`S`>#qH7g5qiGWMdDHs(_k
zW*%=VtCH3oDF&`v{0Pb3O8X(Xc6IWbrwXO?@h4}?g|l7g0~zrPh?{GMLyH`ZDy<V`
z4?i2e{(i_UdxrhP3u|J8ICcj;(0lUx@rRd#FBD4Oy~Ly)Aa4SZEOXph$-wl7R43;c
z`3#2+IFG&&b6xkH8R21HR>M8Sd4Qj7&$g_iqcVLR_i2dFFG}(*%T-oGTO-p5GGv`^
ziKLMjCkWq<n|^C*Ndr@Ts!3)?P4iTT`7lE|75C(3$`o!hej_1*FBhF6d?gyMp&*kU
zN*v28;sVK2+Nh}%Bf$|8I=NT3*q#Sc3{lXAKe`tzreO3}W89?T(t9~Rn^d-00n{yw
zZ3U$Ya@kmUW!#QExORHSg2u&K+@e1q#WR|O9=|Mqo|llF4Y7~n;y0DhPIUNsXwW}S
z=iFSZ>VU!DWQf|Nq<%je|K5TsnsUcpN2OtLE98q2Wqnm0z0u#wO7fX$%B;23s(9j0
zXm3U0V-}Q>QHGxqb9{;7kSH;i-k#K<VO75HxyBH-*$aHv8_Ef}Nva3B_nQB33zkvO
z^w=+|QoRW>&snmuB_^ianNt2@6WweOLq*ATEAfJ+5qma&fFnT)$Cl^*r_IAZjGl~F
zMH8xaQ#oiGFVaMa<KUbNT)){GSMAImX;!YI#rxNj7~@REMKW;EO2naQX<4&&>d-f5
zh$2_JWG-@#KC7GJg)$;lGd4TwF#9x;->@?4^<ycyIeHFF<{EsGnWSe&3Snv{Ms`i9
zHU!rL<R73m={5ga$M8jntBNbuHVC0NLq5hj3yrqm%tgMm3mlAz31oWf8glll&XA<D
zwIK<W_vvEn@0T`Dm600c*u1QX0_C!k^7KbBH&y?Jb%Kb|yd&{%{1?~QdfsQQKET~9
z-0VN`xfyCddsQ^Q<#2Yc1mB(#R}taHj?u!8k;H=J7Cz<orqL1yva7Q^xBN(Fu2YG+
z9~RfMM!ihtq>|8(L_bM#>t#q^vtNO)z~qx`DC6TiDXh6>KG#fn&zPR?YiOttO>huW
z|DHkPhRSfqui9{&i%j3_Ri|+`^|L>w!okwOX$)IvJeBX+M)SSE7kF1K`%!gP+ejJ~
ztwd7Cn6h!8z%x$MgUrpSvWJ%1f+_I5PVoL0nVnZpAC^dUGQ~apr3+sarF3+v=W(#}
z`f;(Q@;On$-At9ik@!uCr-rY#j5@kU>5Xv6P*jR}B-A0X1uy=3u<ptB-Eb(IROMUQ
zfI)ocG10JVPaSQZAnO*yk-n_#ecwN8UwI{-&QAHNs8LEz6ECqw0X^@ZOD5+m1PDSb
zNyYy1WT)HhM-zX(dX>J$ZC_rKv|Lh?uE4C_8`m?Yv7&#D2aWwW34FZBVYXSvICu&9
zN!3^pwY8JgCsthT-*@zJ?U3D&D1FWRjf?ds=kexe*;&NjNt@L<{6060O6Nb?f0d9w
zwwbo&QxmH)+{{1UV^8qu8EOCS{o}K^QkYG(7E^{CceS4y?{}`RsQmb|g^Z1l#82I+
zX0fCXvAk3)U>x_dz~T(Pr=0m-*;OCam3V`j<~f7UH%K<i%A@2nF6?UPR&!g@o5?sm
zY;(H6Xl0d0i#v~mnO-qIPH|VuAFL+QmJWOR7{5oI&OzaW`c!}xe8pdwP%5lxM$(lb
z)Ml89`GnQy)(Vy3fw2j)PJbjZK}2Y8V_H^=Sc`>;sWz=(>3H)q#X6*&=}#3E0S=9U
zIO%FyZ^dT&xAm-zDuql0n?)%<-3neuZHcO^#2Yfkr0^nRBV%!d5?iQ6HjZx%YAM>;
zV`tb+FAEA*IOTlEBZ0Y<!`!M*UfLkyK|!S*H#2tr$~`nYnJN27Bye)@FkjEkce#gM
z?Z-~CjPK9+`FUn1e-_jWfSewMhZ8vwEHYzl&636#OliuK{hiu!PO7M_{op_wG+l$^
z$B}$@<@`y2WquC!_Ud>TLLrJkPSjr`;(NG4jDbm%bFxiMO{e&Q!NI{7b@&E-bdK}g
z^pW?A3k$VWEG&*Hw{FqpYiD04m?3AQm%AKzMd3NwJ1?jy>Z7?F@SSM`UD;c5lvo}u
zbio&>i;IiXqZb&csI*6Rj8Y!WpPCp-v0HaJALBI|vKI-6L?~V|p~6E(@Rrrkd&KOf
zl=7WKJx2L@zIb%XXhECuu|H5juH|WGe?s+^u`4`xFDftJ#S!}2-@o0e5JGMP1GMBY
zyeC8_9ZY$OBXkBSGjuRgj;<%z)P?GBe0*$dN&_83&UBSB-5@d_KZF}EIHmma76<+i
zWsw+1a<X<c7a=kG)EN?zjyu^p(+Gm{7jd3xOoT@rBaN^zzdn_hCn0Q7TwDuA2;k}-
zY9s+i+C)$94^Lq8t5>fsM9QA*@6OE3gd^&>kU|;GHb!7hHUJNP`1o;QtZO)2D<xO&
znL>;%<<lYZ&$sdY2%FzBC4Rk=J9rmiL$^|>-;Q=K_zKl9BQk~FSrZVf!%s=0oO3~B
zr%QegCkWP)${De@@cQ~5UHS9pj};=Vf%f=2c*ip)zmK5E5>0HVwDTR~O-XE&xt?w{
z6n<VR_VPEwze^|cNe=d^;{-ySeCgB5RfU55{AD{5KQ9$3Es(GiPM73S1iHtn=&GXk
zCQ5$dAcpK{a?}qZA|kJI@{|acxJXt^D{i~Vt;fu2Q?kmZK4^8OIaA);Xu&i-%UyYB
zxis*ciM_q*5l-c;r>=~4GSOWAL@9eGe~*-K8dDWQCJ<@%;1Q1CeZs~%!+cLB6iL3G
z6u#Vag5Y14z%_W=MN|}&Vm~cK8TKf9gWGb-(`R}fh>_f|Q=EB7wI7FHkHMr_#a`}+
z&sz)lcxjZO90}uE?xpW|qR(h&0xYP~3+wBF%tw10vW3HIf>c_GT*{2Bj~1dh(PhAa
z{(uVYHE*!NZFB+-+tsW4A1FEGiMLj;ufh|*pX=qNpopYk%pH33)alxN4^Ar7*1jwv
z7}YpEbe6VQ<?X;kK0G$J_dyy#io{49i@)$nQ(lHap<b>BN`6O_Av`-$=FdoZ&Nnz&
zGdIx80A~XzC@3U!O=wtIH>|C!yeI<m;B<s#WDSnFSc`n)`!#=z2@E*X{925&l{@{m
zZNdFR=5_8{Tu4t;O1mW&(IT(Oxti_$oy5D``1$ngmI~&)Bz`PaZ@Dj-XuFkBe#CvT
z!Il+=7b8rFV8YS@Zni`Tb3`QHseZG#Tw32jk?*sq?*)N2OpFudQg)RiBCLOI`BAzZ
zmdK?<X>6de?@vC-a2E&@wxrHz?frncDxx-i`_AivXToiH@@S?yW|UGNM9~{7hIAI4
zeCS{4&rmL0H{1HBV++!G^UkXNKFV|Y%@5D`I%^a$Vpd}L(SUeHjKhzq`0YumyG%H5
z#&oYKw{kiG<;e!i(!PF|5ihygpSStU>{CRW4ETCC+j>J)hWqJ;2)PePsE!b0eqBbz
zPU-1V<CXY0k$uJ+KO<gX(jFmikhm((V1smb8LzKnja;%ZA5{?NY*h!kYum#iFJBkD
z;0;lTnbhk4(`U@Sd7Y%T*0Itc+g&C=SG6In4*v!It6SwZZWa$(z6ZU8OvoDwZ+1a#
z?VQRP@DY~|g`Gdut4<#G*e2da0!yE}hV;;C9Iau$HL_iFl)1vQa$gQ{Q#OADE0X6f
zQ_)p_d<N&#Luf2wq47bOShbDsN^HWO%Wnb6FySFei0M)s5j^(=>;A{e<|Qa4lKyj9
zn_)d?7bQYW^{Z*x=t|F^d~FobOv)(Vm9yz~*{l6T+P_Xe?kVfTq7FSNOfKav_56rI
z;R?!`Ydv7PdC7zV@jH}LNl|$<G^9SA_cT$=j43`(IiLQr-Z`P5K-iz1jOg-~9jP&W
zf)>&l{qj4)6pTfLvkBwxI5_5bsN~2<_zfkDYbOWRPV<~xWjVI$DBW9zs+L!>j}*Sf
zR})$$T@`(IKVv<en7xRhv80@{C0DI{3b6Se=L``NGT437;;PU)CZ>2*Etu)q;O{-?
zrmE`i#W<SEzBf3E^G0mQP7P5pq3xpYJ`9o5uCY-Pm^;G4O)p<66W%3yHS?h&ARaGf
zlKgsK85Ic$Ng**ii(Yj^+wX+p1h1Td*#gujrGSz<${B6OwC~u0&t?e^r+$QMv!ycJ
z6Ftgjg4ofqw|s`MHxK1p?B#T=;FR+U&Lp_MG%i6=!Uz1k7V31s%3{8!jHA1|dvkA3
zznW}F^~b`(3{c$q)nPQSsq_}Agyd>%bTLm9VuafsK$r;=roZ~HFP9Qj|5MAzbf<rb
zRSl-R=g)>QU890T=nVyY)SEY!rogIubjFL30xcO{a#C9>js3%qAJk^zSpE@s++v4u
zai;5jbWk%oz1}U!_?$Y5`|zLQgv#5kxBnqd>>q&6(uPMN9f(In&c@GAX3-Ybw9#-%
z9uN?aDE){E0Xn+qe(M>xtVx?6KYrX&SAWi>j0Ar9atoNC*<Upqil(M4-HF%wdDb3=
zP0HsEIvxSrlEn_RdB?YJp%_eoS%W&zdF9uEoR8#Ew$)6~r9OZDRmX!I;b~whp`2gy
zOX{`$2)r9%#VF7lFGEA^oJ}I7e-p#U2CbK(lvq+Bf>WWi6cq_^vb2;;#+$X@udWHA
zqTat}br>yaopW0qOGcxy9J8UJ?bdEAgg@on!A~QFAtKzN6Fu%;UYQsSv8%H)8#}(t
z-<^Ie6^%v%f4s1?r1b08uZ7v!8>Lp?xj8<#%(rPhc<`}`IjBjFS<*cP$bfSwEl^!x
zxndO4*lB5Ledfa@I&W<M8F#t^wAh!?(RZL8pou70xc<Rd$Hc^(%QvoyHa0O)PS@^D
zxe>GsY&|f4rzc0s#5dsZls*3I19d&{HZq6HX^V$B>ZkB!_<=yc+uBF&?6{8s>xCL5
z>#F|rEdBaj!#DBqD(hqAX~0qYEJP`NX={6)n3%ZynL_qsIHN?LMWl?SV_HGIm8E4g
z(4zT96%i8?6V@A3b!UC1uZhy<$~#))roe`M{q`*lh<u<)Gl0nB;8-265X3IuF^-3;
z>xYGf2V>P9m#V6&qD%`fa(n>s#MRR?12|W{%a=1En5Fs>oa&V?T)6Q1%^O8vr_Y}|
zr?B+>{Y8C!eLjAEE+G4Fzu`~C!6T&9x(UzQ+;r|+aR>en4IKPVE3KJ<eN5J3l%=sT
zlmBKDQMtO)bbXQzUu@N%>IsH;4~NjhLmjh#OQ%8q6A4d=ifXObAG!)O5FCwpPPI12
z_Vr*(TicvRQ^yC}*#V~~4@BNAcfPyAr5t^rFa%uB%kc1Y7&weyoJdzk=e$~yWGn_F
z?l6Xi&DPP>l#@(~aF=8jFenOqPQj|a)SbjBB_(C}$)4V%%JmtS@`sX=5?gjxkO18T
zAV-VVogBgraz%UjurM;-b{H#T4{9>sdZeq+-}k9#AoKZ7MSV}%z}{B|3ZUjv>h<S(
z>>2#nv!1OEWS;|#qq83e2j@#y*E5y$<^q$N8DL&hQrP&->X`tJA_$<IFh&XT@d~Gq
zUh5WMj)fonet^gU9|~ji+4~g^40Eb}q3KAa3uiFpa&H=uxcx{V?DGe=rEX$k;zj`7
zIfL^nD>f$;ifK<w3oAx4j6uDsbeSi74CEZcw-e9=?`_SsvgIUSe1knyVjmlJZEj5i
zdne#^rHH$+!F50$qEw@~kX*hV9umPS8{s%v%?|1q$UL`HROIF45TtQ<c=))wBjzHf
zv^0}Nd&D!vv?kDR5uM=VgapRE{{Al3pZ|N#H%BMn<kXnn^v&37pr1{hU0s`D{6gNF
zGq&GAWsQKPXSio?V`Q*;2jtMYzxm&jeoEOH`h6Ugrw>=$mU(hfJ+TpvqtLx({EzAB
zO@o8fFjpiHxIGRru|cK>5G1h@S>iP}Ay9+dM$R&dlMxUQV8X)*Q0y`?%)n2MfMgXN
z6N93md47EC=k4vyCMr7M_bvRwn=yQ(+|XowkDY?`dRSM2#IWT0@-im<_S-p-Bbwl`
zSXO*^tr)Iwo=FW&sbyDA@#EXrfaF-w;Ck3icNDr1VdJ?ml_amAfDM2;eAH_3qAzxQ
zWa!BV&ybUI11!VdKp^P)c2@ecVI5ybMcqK7w->uO5qBUlZP!69iB3!7^jIH@9k3O{
z3Q2HvJFG?f8lTX`Wq$c@UI4s~?(PU&JUlGDs8?ue;t*Eo+8K$lo@;p_>h;Sw)PV}s
zl`NA0vJ#xw7Z?l;zk%G|gj-})l2PUb<qsfpMnOb_gAdxuMGXy&?ZJQ#s}}KZKHW4l
zG)(fhy%n&=*bm3L+A%bTBGN`g?^$9`9v=u*5MJ#%8@#vfms32nw9Gj8lNx(TU;Ear
zTlwp{rZ^3to|GR%bM>+Y9N%b<V2<(MurhI=in=zj0GeMqP_{kKNNE{#ZvP{WpQr@n
zmJE1RK?2O3^HjJK0fae-dz8CBM`K_aC$rY>d$ELA_Rk2bS-$x<4)StHvE_@x<SV6t
zfe2(HUK2u#E(TVce>VtN#OrZ^!~@tIGO%S3^5wMof<?gDkc?PLc|R`YKJoN5YjyHC
zTt%`H8R|lgxp8{{oYBunm8nrmE2!yyIe@MCq_6<F?g#hCaC@k!xOq%S?Mwix=u!p0
zkT|_&llsOx?u8gVxtgU%2I~beR5AfVX?*3Ikj`wh!KLQZjy!Uc&(26Uf>4ujITG?%
zs0Av-+-2sFCdE-`#UF@n+}|=%PIJDS7Yk@W@8O}ufFf=(VM;;bMdCl}W3wa#-|puV
zhj5qjMGGk66%|TqAXF&sOFC3`53yrlHy1%x-aPt*$Y)x2+<cc~V26ET+jPSP{jAMO
z#NPI9o_6ePHn-r*a!IE6PFuPGI*RO}MtuAf++@2s7+?#$oiOT|CfCTT##dihJ90^G
z-_NIn=bh=V&s0YU<qRgQE_4KMX5_pmSBG!lBW}JzxqD2N7#NNuJAHs}0B=Sf-aRg2
z$&{}_Y*BJHu`5(JHp3?rOwQ-W3b)0lVXl6#acRk%&r{xt`X8o^|H8}hf6vRr>7?dw
zE^u+}ld?a)QysC$^FFbMCcWsKBFMQBQ{*HhceC740#Vq?_xaZD?z6hOy1s`(mz+<I
zAElWVV)0(6LcdC7RaH}Ouhxo49Q7?VH8EZjh1+cw|88LU*GU6EbnmipWnf$!9luGn
z&Wd*Yz+7u+)Z4fEYb9`Xnp<1bUtG%R?mKb?42YHby*KLiQhKe=XGL^0Da8w@>gmyl
zJ5FS|(+9k3XpjX8BIy0;!P5JA$Q?YqyxCi99~AS-?(x?NN+ywC(#w;3^ytw!{Z>aJ
zR+~@eH*el#<0!KmE@&%(A5C3dXXU>fX&c<T#}1e`Ra^J;R4<wf^wbofJId?3ABdz@
zR#pyi){l*Ke*Yda!C3Y_;N+3&`|EX6OM|+%!5EUeftZUj0436?^b!!H5JPzRl#$(v
zzs>Stoa_Fi^^-6~P7umxfBYZ-ED=V3g%C!CP_nW{Lf&io{+$8<g!hkFeFT|rk5tmp
z(J2>~^!$k_tUo-1U`0t##3_;_J)VLs15j_5l5;4Hz|+V`isR$so+>vhE^cnztg9D1
zJU!cTbaQ8BXK}#jLB=9Y2NR_k|Jk2O0pU#8XUE#_<X{O2eE99nJy1dx4;_;VH2lj4
z20>CWt#rl#Vb1{Y0X&%)K3{vdn(GY`+U)A;OHa6=?@y1df~MZ)@H^PG8OTskQ5}~X
z3aq$G+G76icTOyo6&4C&1$U{9+B@sT9&1BBcEtlBhlk{W$-cj?eeLQ>hZIVQFo@Zn
ze`saZ50#7t!XqIuJa-fgnG4BENlBSn@1txu{(bwMUam>ji2Ap<Xh#XrJ9qAMZ7+U*
zuK`N*#h4DXRd*u0ax{;WR05bN%AKZ@?^{@8mzBMSbJcYN)cl*E$zS03pq3yW1$&7t
z64Wy}!TJIIm6X}fA^jlqeSwVkM!-lBw0!ugEHEk=YMNBLcNl;BAD#p|(yqh(!^6Hn
z96W0PV1q2VdigmOG*|<U)x(6?aY<R(_ec-O-Cb*%xq~}kS1|H3%Xx0;Kc3EhRg{r7
z(&m#K_B=&KMm~}RsoU)F!3D_Tu+7haTcZP~0M@Q#Z*Pwva46^`9GN~jO-De5avyNy
z{_k&s|6&mED&L&|-Sod<w#e&;#E|EM;8M~E7zTrfZ0uMXn|T|=7|!na)PbR5c>3f|
zg-^SvU2dy3D}%Px54x;;ht~FNtS0+Vo;XgGJ4+`=a{6r!gGEh|RH#BJ!PkzCCr##o
zhWUgDlk8)r$!ZS;u#CV}h<g1x7&0S5-H@zf^LwF#n1Z5xq}U?0*IMYo7fOWs#{A;q
zb0{~qpQZipVVhpvs~ZySi~QxIakki@@elGUYln+F-PCR4So1N<(YCEAdOlBjL*Nx)
zSg>W_ApdKecH9Ju_dF;F54>wZ$}!yUKAVGg0&FpI_V)Z3;+2&Z;<IO4VXt2$CWaLi
z2|=ay`SWKy0B?&z#Vy(i2zV2^Xl;-gu&a#JK5|Rym%CYMT<M(JmR4`{h<`V=Uh)Tc
z$)ZY4=qz?ClZ3l|P1fA8w&sCQ7p0Q^0iK90bD+utxQH$PrlzJuUFOj7*Zn0uevU+m
zh=^b?)>E~Q@B_P(WsLGC!9e5c?*0+rd$eJG2Jf8=%}0-}0U%|#>dXcPFfDU)wgWhH
zV0Oq2=hTa!phBr7UX5DpPO>Xj<M=RIY6aC}DjaPTsuvt8%W$)VE8NzwR}Uv^*Ja@g
zDzw~SH7H%u$)PkW3xo84nWw8zH+Rq-{9>USw+Ds04nN&i*o@=08(es9sSEC<*GWkx
z7AGJUcd=@6d;tGQG#7w8y#ixppd-sa=|37gfPENTyd8}WINl-x>s9B3y29WfH%jZq
z4IDtDch@Hi4iC+<)vH#0%zh0VUKPEY`$u2?KZ9W5aL`<~;<)jUkC~Ykuw~vW>2HN>
z2YAxI-OC%D%UvRqYh4!vNn7P@lR;^_(!Xc7&A5!%FW<i}IXx>PjN<B0TwyR20lmp(
zwwWOPwzcPu=4W!k^l#P?`)*xyxx5?^L#GP29byZD$}dZ2bmaAwnJl1#t#%&HB&ght
znFENVJTlMAp2BWk(pO$I1Z4Kz3%J}kZ0th(91#<*3qs0S0Hv&|o<1KVZMH!0b*0<*
zOwQTK09YCn9_3(?IK^Zj!EDln_BZpyX5s6UvNjV_UXF0d-Q*+lJ7HYSb2rKJ_y-iT
zmG-zGPx(T2&jg3g!C@;b+M{?V2%bkxJ$o0)u)RX^33oq1gt~a>IlP###O}N{j8A}%
z`=LIqhB_Nl&WFWYs*#zd$S(q2Q^FiY!BKO0fo=MlH0)S}bSDz-4!`YM$Lya^61xuQ
zQHD#JNX}&VKD)Di3yV(*$)*3mVRz<viE$?duD?j36^|Q1Untgl3C|;7%%Lkhk4w0X
zCv>LK;9;_WvbW=`{M_GoF@}>#8B1p3VG;wioh5#Dp`<`oI1{UP`iWBT0xzi<vs;9T
zIiXz8AetGkNE)m)XA1wDWdE;t<X?QY|7Twg!XhmxyYI;|-4H!EUl*kD+Kb&9m3g%#
zColiBFJ1ImKZMw2oAgj~rg(vfpdbZ(_LjFQ!@cK|i=_~x5LX_sRP#6jsxl6F7flXO
z2hQ&9I@M&JM8K3)*5>7@u854N!I}H7oyPxM0l#lrm%QNgf}P2Hr7vCOZQlbf<>pI;
zwb~BJ|KSe>$%g07`BDa`T)+O$yxV_i3dVo`_|T>_J4Q^y?_)>j%a<?Z(AMBy4u1$g
zf}qY0ezmur(A+G4RZ2=BJ?G@KluP+bN5_p2a%Nlqq>cyjE-u1g&S4m^1b-2vl)Nzx
z4vrk=yHL8)tPSOVCKaqTPgX*MLn|aR^P(t&TKTY%p`QM!W2X90?Pe5rP_H%m!2_<^
z+S(bwHo_Kda+&=&$lUyVZ?3-J{=q@hw{PG445c0)d!ujO)U`{4`gI>%e+a_M%UcQ7
z(w^))7b|OOI3*<+(D;Y}xNCp_nORy2!8+oEg;8>?nomkguju6)5<n%q&FiM671b(!
zw6hZQ^QV0niwpz6$7_iBXvsr5N%yR(dZSD`3n4n^VH2-+nGHw3q`V(JV&~x@2G=Ck
zcXUtW-Kq(U-ZnQzIHM>y7(W2~jzI1(a0m-WA(}7|K%83l?{k3j=#IO)C<?W^KK}NT
z{iu92mzJd^_qA)+u;iY@WOXcXX15B5f$a11lLoWz9UB{7YFgSmP{6KqNlbr?j;2z%
zeVdb&mG$L|7pdS(jmgcuL`_2zZCaRl;r5#zKpPm$GVoFOfz6*kD`)m=X=_tKvgrjY
z_C0J0AZM1;G&WAGG6ULir-_JlK+-{oju^p`1K7eGzA>{mO)2K>TiPV)N6{DzWT0DV
zy*=Q*Qb7O1TsuFn09d`KvQrzTTgr}Qc0}^^YBWb>LUrdj)d&#-FuqPqP6`82CcWKx
z1rr(?#HGBy5pWs`WZc5y;#|P#5$n(Ob(h6X`Y;BuGhk_qZ4fH+Kk^KN!vPm+q}+}c
zhziT^$!9sRaGF~^5d&!>5TmKB{S-W&WH6sN2`3iEzp)>H5^3)3MLl`)gigpD0Rq^f
zxND4z^*R%n<FnluvaZ%~a}cxl6qra+qQFfHk}7a6aH=*JVl;3OU`&I70l^|Bnzv#f
z13IfglyYAkAOT`=aRopN3|Br~`yQP6%|Cw>H8m-L8X{+8WJCf1GJrcW1c=$s)}q)i
zh?9OKg0P8+QA62K=ews^Xj<0;XVre95+zT(v)qfvC~n_4ly3xvX)Anud~=8%gR5IR
zJEEsXX}xlV!$$Voo=^+SPI^tZ`fk*LX-}LD4l1x0!r;Mj0TK|OfI!!`9=xFirggS1
zcNGrX^BB#D@58nGUjwhe!otD>5AgacdV61Oi(m%lzeRo4+{y}xgoFen(gX#8ix-K2
zQmypa<s&@H5R7#e0#hL@EbKk|j8^D=%X?WI!(Cj8NhYH5fyE?k`XMkHT2I%@kh4e|
zI6V5{SzHFE0nBMFdFO!lpbJ;Tl8T7)Tnh=-4tS1RRnE|m0hs97r6nR{q{{80Hem7_
zG)zonKso|rN)*GbCK57PbnmmKre+{uoNekw@C5#6F2ys-(X08r{|$JB{R{9yUL_=i
z0{#G};(b_LI@!n4z~BTv!6TY`aWT0Otj3#ggOIGs)xWUD_nL!AXx<JEHyEuw2;=?f
zc^Tj1|2MYm-xxAAbbu)_81$}GT){#;DX#*ol^l+{8bkPVEIW)wV`~lHUsdfB>Vqp^
zNpI+~V$IXwmFt7zqqFcXRDh#nW6^-xAVl;-t%`Lt8(U@vln;(l`mtk*6}cotbH9H1
zk^*K@hHXL9+FL+9F0TA1=#1d_zeZ<It_}QpjU~cd7l<K%iFx1k{~Kd;5%O^Oa$#@=
z6MUyT_$^jPOE0cZ)zxSXV?|wYLC9N<w|#shExQw6yfyV9NmC5hu4ZbBCo_|=s<;59
z%zps17%YkY|JI+pRZE|N==Aj9Qe<Z}V8il0u_9S8$q30~){sw2OG}qbRMKiVs;WG-
zf6(%nDBYoyPt>a>Y>SHx#iS|R`4e5y=K)9zgg4#zKb(^UGwh5{od3a_0ga@>ca9sE
z61|`B-_aU}G!Y^{GnMVTY?{7yFP{kBBpKz)iv&)0DF<oZdm6p_PguuH5=Y$V?52Iz
z{0zqN^x_0PRy4ay%aN)*drc?!0wRZ)aL)CbHRb%1Wm9RPppy&kuIL;JeVL}w#=wl_
z%(!%=#0noM;eHRFRyn5T8Cu3dFN3TL;|WTy#TxW(IeU3FzxwawnDOOy3uI!|z&`NI
zckzcZc^&{ahZgP*NQ)JIqzT>(_{Dyd!H+4wj-|m=d!z9Jg|pTNj=6D}ZtK!%4ZF7e
z!Uq^fZNKXsjX!4K6M?9531w&7-p@aWrPI)HJj66k<`*0F5RDT+xCuFzhYmM4fLUY<
z{6V$(-e~bJ8;XYX$$P#f6pn;<gJoE8JjWa+qZM^3%4DbQ=hOYa!zKSyW7Pivz=mbb
z0^$KWT#DwB$#Z8OdWxI*hsGwPFUt2%bziwbD5Mhm+CDJ@DI@GVqq$b@ft$nyNNTO>
z^J~ttcF1N>Zf;+!s4rwF$t3j^5kq|NQbMzW_~tIOK#&bJLpA7TJ;nb238+QI0)^2E
z(MZVirvVUmBIsa;@lU!5OF-;{@-PP)rryU4Xmh|ueXzza12qu-1NusC-M$?Jf?BoL
z204)AAb*$zoUJo;dYlYxGk*U5b`y@DpemPiqW1aSaj|J{M_dMEWo<|$&@fii_we{3
zDedJJsQegrj5(UY-vmmkxsww`xnVf8J^Ag=hJd6M$l>v8yn+I>=zXyC+VM+yZ?a+g
zJbq5qF#>PVJnqyG4uJq^gz>+MjU|Z9nd9{SHF52D`t&a=;22yEkqQ?G1;*9xB-lv7
zqDl{V6BoLto?w6xwB^6V%X<TwAlQOyojRu~UGNyfGuqZL#4tT)PtSr~k7%w`U{QuR
zQ^v;ld3m4oTEEsE2h9=?<6|&}?*nVN^@TH1C-;i1EGtObz?g^~n%mrU_?w%r9@G?=
zrW82`18)Zhjh3k?IasKXK-0o@KpJMXJAJo70S{?1Z;ZZh8{2}Qm8OV;fM6kP-iWyQ
zzP)VH41dv+rbK~HNEp8)3%)fvFyrSrv@lSFWKdsur;1g)BABk>ruAa3`yZMEn^RO#
z(GFcy&~#@epV@yST^kDqvAm$FD%n_>P0&)ZFS*>!FVO$P3PJ;Vy51jaT;5$9=7hXz
zTh0LHup0&jbitJSAh~V<_XC|9j35`uflBDJv-|`M_xz@{bQ&_d=Rti42N4mdq&cAX
zE<!KJs=XVCXgrrMw_SYi_Y^3Edtk2HKRMcPIoz@7OqO9pY*mNLna3)eoRY75teyv%
z4q?Z4oTz*P{xf_SWr#|8No8KaN!@n0l-MeM;Op1t%N)jOU=bAoqk{gsx%rt|mig72
zH-ykf1TBDg2nayOfB(At`FR%({MYeuM)1eCf+ndWAbNMZIn|~WTB+EA8;>>`BJ=Y2
zv6>V#JV1NFXE?3lz?<x>4O0vknzb7_)jb2z5muT*T$~2mumcPhG!D`)@A~Zgnq-8-
zV^D5OjcsfLu1z7ce-`xRV5m2+EiPc>!@{Fy&?5l7gi2U!0W=n#rc0SGP~H4@OYosJ
z1N(9H#H&wWrv^qX0c->L5eh^}+~;)ADF-9aPDzA;K!+Z~g1zD*flpMruTWWb#S<Vr
z{QPLxzzmJ|5rF;9)6m=p{12^ma<G4E#zW9mAbF&3lqA=hy$x+y_(n!XAe|9GpM-b_
zWN(=*fYWjBjZ94=U_r^4B?snwSE1tIREp3^@LC<<h3+l=gry%po`GjV%v$!I7fqy%
zVHIR`EP}1CuZQ-B7C2Nl(3r3=bi?Dna8X~y#NfeW9z1-A?RMdgAp!Cd2j+`yc*`2J
z#S(20oPYu+KmoUp0*134nqcJ6(ByL!t}qC<&!PE4-}F(sp#V54gv~Y~blud`d($dz
zHxCVV(DGB;ZG$Wd%d+ExK!+iQt~w;}<3}zi>#&VOa;*e!zV6;N9C~%48~gr!B)Ahe
z;G`ox&?lQH<4Xg4tr&1f6W6e(6-4bt&HUTYtkF527z@va?z>zW$Fo{P?)$g;UshFC
z>PQK!_ob795%UZ?K33g@0V@zcxolD$CyRk=@%L~SOB(*FT4G_6@+5;EB_t3mCD86?
z(fi@%;7~tQb>2Qc_rJd8UF0l+T9N~tA{5e_fd`Lt+i?bM#ljTRu;eB5b>@cKfHiX_
zzhbHxs5zJQF|qyqeI4I=s3+in^Ix{Rb()h?OS}iC056N!m7^K<K?quH5Nf6A1PP}$
zfQyu%%YuW^r~OT7Y3c0xx`_izq>Z>BQ@mbYRu(aA239r?1YgT%P$z&X9I5k_F!fy*
zb6@ErKsFE83KPs|&z}zlYe_<+(BI=@1c6o}DD+zZ-dmkGgNGvxT72PFK*N>{c17WU
zU|Ui_B5w8Ho3wJQuw~O>IcsRUt?uILimU0us0Zdv7w99i{dPq}WM*;E(&b(H$)ry)
zan@Ba3b<@R6xXej_u$50=}0<pdpaNkpjGpplT&2H^y6{kv<q-rlp>h0dby*;rJ{`H
z%q2Y_?0!P*mun3<1zL7_x<MA$MJx`*N-IbpRMzZ*g5Q}QV7q)F41j&~Iox2kxJj4>
zR@;Zjc)z~6*7b)9wkZoblCUKUgoBxdg<udx3diz=J&Fgo5ol#g$;<0JKE`$lmW*XQ
zdD$ZX7Y-Di$Iw^@3`XPVD7}o&jvQD<qTaoG0R;<g7Tul<M6koX4JQ`>pSgxh0Dzrg
zGqK7EU}6bbLUJYy7W6-OFazS$moHx$VG>Y}ckb%R<k!RS&XAI7K~Vuo5L?ZI&MyxN
zarnuUj}O=dE*%x%d0K5oWl+0$d9_25+=9hRsjQ@<xW3N@r4T+lKBy?0z$`R(cawWf
zdeCAc6ISy9vESLnr3qFX0~Qr*pRq*6FnB(sPmi}p%52Vg{+f6Jt+`OM%|c>=h$|14
z6KJQx5)jy6@4cFxX)ALk_bZe#J%whnd1ehPusM+UuRi+Cg}ob)%kbpFZ4iSxALyS3
ztnds<Kj1v^*zo}iL;$dvkv%=2fKt0_{Ksqv>vNU#95;F-6uU|=6X>5cn_n(As&L%g
z*=d1bIt%-Obv1mZ0;%E#1V+Rhj?-eou8fQfmQ|77YB{&aICBX+KBUlum{aUv=DS|b
zkoh}rYwLZDwc>{lA3jx8S4YGgakjv{FDfq1-eRx!T>qj(aSMKJ04?_S0x*CF^dPwd
zcp;GP$mNNlKNT)=-cTqr1okgqzdi-d#W?qvPZ9-!KO^*s!BC<+u);j9(Da<!8o{fE
zIanNQNeg{iOw7!TWqI`{Vv0#>7a;M|3YxY6vwd*oly)o1l5}QnPJ7MI%WIF}dkt(f
z%ndwpfm`!-r*6Wr`i)K(f`#7y{sxUn2*Z!uK)`j`+dO#%4|jJX8%n+)EdBN#VDc$`
z_>Be}*>O&F_rk=OKzS5_AvFOv{`ztdH2eQ26td-&I|c?A@F}H#GY=bl0v$bC**dJs
p(PjB3RwDoMdkWw;77T8j;_>LSG7~llsUYx=@=bMgfxP+C{|B?YFU0@=

diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map
deleted file mode 100644
index 2f39440..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::BoostA2DE" name="bayesnet::BoostA2DE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="13,300,165,326"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5
deleted file mode 100644
index ce8b996..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-aa422c1101da842a8232eacd485de14f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_boost_a2_d_e__inherit__graph.png
deleted file mode 100644
index 7e032fdc631febff074fd40faee8e874888710ea..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12635
zcmc(G2RN4f-}fn!kXiQ372Vl8o5;wjWY1(}6|!e2%DxC?B#P`1vPt&J-YeOAhwy%{
z`+wj6=Xu}fd5`CRyvO^zZ#h)gmDBnAo!{U0`&nMxR#UiuPlJyj$OR=uxx4UZA%b8j
z<Ke>J98Cr;z#q7#$_jGGDdu-dRYo*|Fd<5EGWXmPSI0edG|j8eZLE)cdCKYUcrKsE
z>U+vPqtwcTXbSp=l~IAO7`hk5GZxJx@85ai;MLP-vC}O&eJ{O5&gxAkwg2n$Dw&&6
zwaU70UiwGY;>ry9t+X8`ON9zDt#mY04VQaKb=9XW7f$YaP9B?Y<`oOmN|WHoU_Jr|
z-Y;waoSP$J6`7!Jz`LQXh~DY={IK_ye*Uu4u^OsL8NKsx{nZt`aoH_iggSSyn7}b4
zQzJvPoIz%x1p6G(lP^ZS73O&U4}zHpvY7liKKkPorr=+0_P>UC!DM$&Upq<6l_)ba
zQ>WBENn)w&N^@c8{9E7Z4pC!cW0f}oncDXHTH4w(>b{5M`1ttWhlYZqSQIY*@yGf4
z=NGUMgEGgn`Bi%~139|bNotn+GuoP(_ji~2-IjApr{?CK6HszZ1rSS0-@AA5IU%)w
zeGu_X*?e-*k%L{?G{2*}yNJum(ESL##A|$fWMyS#h9las=C&iB&-eHDFAU~0J`tr?
zOT7N{VQ>0$)&7K&RT7(e@;8b7v4DVc#FvGHD4gcn>xiX(`!zQ!CSG?qgP8D8eR|l-
zDj+N@_Wt?YoW;e97o}s(5ouG?%Uj#q4o&o~DOp+g8EQ$6%?=e;*x1;(goWb_U&X~W
z)z(U*f4*YZ*3s7=o%Yex)QmANYg;Y(n3?&m!SrG2glWM>&j)2KMoXatT@8)iS)l-b
z|M*w0`air;VI{}fICOZ!Z%Nb?MmuQlYvaA1LrmW<;=X0p*x2au#piHm5!KSubN7tZ
z;AwJSw{94Unt`EnXXi=6k&Y*WQekH13sqHBA;!tea5o|%A`V373-j~2<2ZD0xVpOD
zLVp`BvMj2uPDZ_c^{QcG<MH9)VbA2`+qO7vHl@x4;fNP6UfdF6jea2`BQsXzDXdhO
zlHwN?71g)+gpS7qF?OH5G^^w`6DEB9$--?9cXx-W+Na`A7D$w~R)&jqc6NTwbtEjV
zuBwK~*S{cV+iHEqE;L%XoL6yGiEMmq?2Fx~5c+4i^YX7+Y~riC#YQC*KXr>NHVc{<
zG-7ji$F&%3`wx!yC&>{40)kNq;wx9Kw70jTh9#RNa_dJ*Qd2MQtxvw)-Q7(Tcjq%S
zFj!bzY$=`eNf2{cnR?{2ouGDfS4&G?SXkKS*L2X%=H@h|u~&DVI=zEcBo+@ZZxlR=
z_O`YMii&s|cke2q(-a~sJUq(pR%T?d5#Zy;M@7jnGBVPH$)n9&T!gABD~I~}z8xNV
z;GR3T-LGwIE-Q;25)wj9L(|&VcQ0AOGj?KPA}2TZL$}q>kzyMWpWkliL4QI&2L}fM
zD#G@zE=v;=CaIHO4-)Lqt6j~yy1HYZ?#l+XamuJEDw;St@@eN8v?wro$2@)dRNUc5
z;1-pQcWM7Qedo1_ssy+TYJQtMVn_9*h1Tn(i8){E>kkg*-$tV*eNVk7TqnJg_C9=Q
zJWtNb!_L0^ysO!z!X_#)kq~pz;(4$lB=)EZ3k#Xr_)fOsYM8jVh&-woq>gvU$HvAU
zFZKP={zj0%qKFy_1o0cMaDA{gR`%G{wW-?s$V7mq!0W&<G7zff$IMKDWfw!F9IX80
z_q<dZ6ugp>(k)uffn5D_#Kgp*^kNh<O%YAdCTvTFqh9k{nl`+=q!owdhf=(OM(wOm
zGNLw5j@GgLI;uyP0&+zY5)!7@)`*m>_tS4?d*~@>H<s}mQf~{|44BNdzlK{_*BTux
zQjR=FL>K)1`)zZPYuE7M&S}DMkM>q&;lZV*r4=~L$bb3r1wqEf$9W%3h_6gk(ZX6h
z_tzS}J|n<FZr;4fLq$j>XnpbW<;x_bq)+L^T%^$`LPklt(b7i>^76R27ia=Me!OaC
zVNsIF#>6CjP@|R+&~5d3*g~Dtu>9hq>H}72LIJCzr7Yas#OsyYM6Io@wtIipCmgr%
z#zy(y%f_eH+HLAm$ASIX+5u(>yAru+>@#Dp^Fj|k-bpL(PZt#SI=X;dV`sn5_d2ED
z8VhL(r?3D1PWFzDPH;@j#h>%@EU-9)gn}Yn+<yA&v*3`B`mr*ncfE@-`r24nSR0$0
zGD=D>dKOz-ZwUwpOhL<tzwU6Ef<p(XGKzo-6hGeSbz68B6yqZJ#@E-kM7*G6<a1o?
zqZBwN_wL=(S*^&G9LnNnVnULWlbhSyzr9zA9-;G`X$<?~v1?uNNJYQvX|AZXjg1)n
zd|qf!T2tjS!_H>dNm^lh9E48Fht6|vrOy8>!EFNr!bguD1qKCSBYSJ(A#nXG1{&!q
zPb(_Kv~qNw1_t6>@#D8>msVB1(9_c+O$O&S_{9qu4-Zjj^CYyiA<$mxCnp(sd3jsy
znDlLn&m(%d6wc1httUamjE!t>y-b~{ksS{S*yh_>TF=|tRodT5F+vZD=eh6ySLsNI
zi+{2o7p**6s~9S>B!*TQD$i14H~O4d@>fc|XDRG|#>`j}uj|KTgOv-kLZR^82nh+_
z%ctGHapO#wJc}wTd4|gC8?aT+0|R*^C6n7?IUhWJ%%iNVtb~TL#;NViP%nKb%*h$X
zz`#JqXNFg-$4SYl_YIo=n+^-Lc%G+ud3khVE*$k=zkYFE9uT5r*3LK59C;BDF;Bo<
zX;P$$HmLRzaTcX_T^mzEtEj2XCAm&ye(v=sn>EefjeGl+k<sVZ{bUg*`QawLN$4fH
zd+&-w&2{IpG_ybUE-oxB-Gb(Yi-U93)w8*T((@lBHQbP#Tdh-ZbBH=<yx1!D^XHgL
zmoBXiyp{5;R;@EPH*d}T+>s#cH1hc&eaWEX{Pd585W9i4!gfaA-%$z?46A!p4{hww
z_mbT_3kUW)4^6VwwnnN3;n;3Nxf#*~B=<S6z{XWS2`XkPt>|fKX?YQiTGUXe>C@BK
z4}q(Ys!Qx%obWlagRar`u8F*Fy7nnH)4>onvH15n?WDxL^mk}9nfTF4k=xvBOS#}@
zv=(s{6cVJDE<OAG+sl&P=r;AHkebXTxyZAcBr+8D>XzsZezrtc=>{>4MY_lgSP4)n
ztqm;ic79ZF&eO>|ekt!8m(FTAm`XttHkVpt^JNuf;n3jgQ#UU*squx>G<?MbCpi)&
zzPKXVmp8wD|DtFyDx@AO5eo@BJMHTuci7T$B{TLqix|lj6vBhWqkG6SF}(ZnHC`dM
z5??a%?rh4d;EY7Wh&L~o#1u`1nxt>&WVh%q{NM<8F;&W9^<QD)BUP{cn8OrG^K$W7
zS}>DX?Q*^bi;~V&ti0A+=kp>r`rzN8W!S+o&VD^sD!8OWb*!g9Jb5z%cE4UAlW{?)
zgW2>|*-tu9N^X^d1mzckkD6UdR`jhoJ?_c)$GtLKT3VW_VOLwax^RQ|1%F{u0S!M^
zHZ$%OH=>0I>METcI~knePBZHB-)qh6DxQC8<|FecN*{e1uQ$|9KD_gtOq0xHd;2Y(
zfuPdHkz2aisrt1tRk#j)S!;a1ZZMYgnK482;K?t=EE&gJnKY!=@u%vRwK9HhtuyB7
zb5CfnkBP>b@jp-!;urmML#>(rXDs(0z}<h}3x-k)M^H`s(OwhDb`wi#dbq@A{S@PR
z$SemP`J+&a5gHk4$8l97Ma%OnZH3};==bg?CntNhd$B^7I%<A*of>6OIFffS??#%t
zQ~D+FH*;QQVWIENNg;y~^2sy7H2i<TssCJx+J&t$r}@a3n4j%riRtC#H2IZV_zZA9
zRbKO*Jw2X04g2xK)cgo=+{Tzw*SpNj7Urh>tgNq2T@pcab2j^B+y-C#ppmbP6cb>&
zSYsG1y`zDGgLPzETU)_{CL+sN6H0(i%^e-9TPOb-*t}x3H!wC9>hFK1xsVW1R8f)h
z@sV8nGDCDvQ**j6Q-erkjg$HR2GpD_XH`#b9~v5RSyf3Ee+`X~O(`}umQ1=rG$-s?
zuB7vTF`AH=*b?AThj&gGo05>AU;%8w+>Aa@2tK%l&SCfBEH;_F-Q8LA73GDsH8myl
zb<aK9fx*FOR8e6e6$67BfRV$aBd3F{SyYSr_8c_iI}e-8_;{~g4X$uqXH}xOc#(&X
z4=tJ$j*Uw=#hzc8Dt_>&auYX*i2fEgH#ZU8^+@>ZWhD&Of*Cee>CRtORh8Lob=~2I
zoKcx$gGGYtxHIJyrPPE3+ETkwd9*>PJw2n_6xN68fi?h25?G($*SK3uObib{f3(>V
zlRhnhzIS19?#GY8$4C2?-rf@MWK<|ADLp(qwpL3g=fdg5ekDx)mVa2UH`&(Ox-d7_
z2&^DdQd08wj}Y$ioyu&!W+Xm7zBw!F+T83cFA5d-#~**7TDsE|_$4F^sRh*4)iLX0
zVF`e*5ugb}wXCez0#t_WdjZgukcen5JHNX1`Ey(fN=kkKffyi6;+}gPurghJedV<7
z=3<*c$KSs;QTb=7k(nPqtazy6-@fevR^jt|vq@+aHTpIRHu%f^`sYM(uIm#3w$u9T
zJ9cGCgea1BGmB125(WMPT0}i8TIUqR%rL;ArTf&>NXW~VG0yDTc|X56%vcrZxB)6`
zEo^`J5`S)PuBWRj;^D)Gw$|3EadB~E$sd&C95;V7pjv?7^$ZTi2?`1V#Dx#cjB9_*
z?>^T~U0z=9czn3~8$jwGZG8DgRU>mRsvb}K-)#eGaIn?JJ!%`hGSPP##;f<y-iH>m
z!ZPD!rcoMr9!s};#Rv*>t4sUbHm2&hcB`JT_^<4YJ_6DyXJz%VknYl@vsFgKVe$d+
zmCPs<PIq_r&=&_50|NsDSzB9+7k<RxvOaO4XgIXWbKexe6ygUUg^Cb2ltvJrl$10$
zIJg!bERz!1b7IDD46b8g!4AN^a09p`A3y(SA2|t0%5US0-a0FR5!<2)*uHLHr@qJ8
z$Fwy*hl^}EMpZPZ(VS92iju>=S0^s%?B0xm*7sb4>elGC)=Jkt=HvvnnE7jEpG5#5
z5XuG--MoLF`R?7jk#FBd0MtaJb#&slzC0tKybM^}X}<HBT1Gt_Xe<MQ)QAY;Teoh-
z)aB*mV1PE4VR;~MCsROP-<Nk4RaF~$)uqCM7(5goYNs9S@4G0c*cJ~P!m2iQcH}H9
zSXouy^jVBT`*8rW>@vwz()d;DEe6)DKC)aHc2#gZq#m{vV&CV8V3Z1%@Z2+jD_`Z}
zdR|&84C}-~065>gb0>-{?+=ai+VOFEcC8%g8#nyPYN`1xQqt3Lp%9o}z<~eu?HiMX
z1pV2wXM@AS8fM$#rq|aa;^V1i_o6vVMsSc^t&s9^QS(y_F^^W4TzouSUyr>!kXv7|
zUL6A8x7Lggw%2sD#O@dHcuZ3*7OT!J_|%_~yjLpbt^FanJu2t|Z6jO~7Z>+#S~m|f
z^Hce>C}5)iHs96MNXg!~LB+_}W!@Icd;NO+hYuf6E$`o>&P*-#W{iGLh>ev8N<u`<
z7pRvT8$!Wp>g2@VVZqO)5-+W-tqqSq_Wu3*W97~^2_g^L=+LN{nVEyH1l&Wm(Wp3X
zW3?o;Ca7*SDmpsaeLl(c+NwbfM;o7ZuHMZgH3hgpd081RaD}qv8zo6BqckBf9kTzd
z+ys`<rHW$xz@$6l4MsL_S2-U)T9uysKG?Ry&C1D9DSK7ozHOnFAe39br?)0<Q0Z3C
z;h`IQFcTrQwa}e5UM*~wtBSrgRh|YNqA7xL9>!Any^vze&d@GCvMD*7Fw7!ybnWZw
z+emm+JsnKS^2PVmCx}t~6Sw9>@dD=A{0+W%Yz8<i<5<RU5`6|!*-}$eq5jra_yQA}
zIo;(c0+(O>E#1h@HHZHiJ0tU{Ax|b2wMdJO7%uA2A1B_5oQ^dAU9LW?`_}-bwH#!6
zB5O)<8WZ0jB~n3DT(lfSg>To<l@bz1*@~5tM<i460~JzabC=zrU|!lNIUc{3*l&{i
zl#)&kXZWciAh0t$G679V7`&DFETFwBB|DBSi>ZzrLDi;2PnU|wJGSTFoSgecJuD+G
zv56<RFj%Nko7R1nSgeRukX*)vMCpb<PP~3@p`x^ZFaBK--r~o8r(+80Ef+ix`$0QC
zqgT^!DOmcQcdoyihl^mLgnw(D`MfGb;{AloH0d^a31Hrtf=EPc<Z^|{{ro{ES`rNc
zG5tg(->^Vs#2_a$?<V{GDNp_ntrNK_<8Xye0kSz+|6C26j@q$_?1eohf7?f7$uU+E
zjW`B);=>77#)-c5eGQL24v^)fFp!>~xkX7CXzP8O%vY{Q4Zc3yjKG5Q<2e(ngUcpA
zi{mo&^RwePNooZD4R$3O28{q-`#1IMpQz+-Iqkpyg`w4eY9}Wrbu7G6ZBOg_eniN3
zVpX-gpXpCLfJ%_=S$&L<paDoNp9WLwSxrq%)tig=RPqPYpwS<{eZ0(E0pm$rT%3f2
z#H5S$>?><qTRCUv;_(r3C$oRU`Z74Wx6hKo3o9Ojso9-LVnM)MbM#9)se@eK0CNUO
zA*<dlzve^~myqgv+ofXjW%n}2S$reURlywHB3#j=&h!1lb1{DleAA(_qnc)BC`Tu!
zipo<^PXZs+98+AlaACDtQS?(!Ucqi9w0(^1*U`~YWuQ5DeKvGV&(M%wG1d3<WVJ+7
zTf4rg=^VPRijv93#%6kU_H0=C>V76i8?<n_+qZ8AMHK09e9X^Z-)JAYlK_q3dAHSy
zmYurf0V<YLe_+vPz<M!<c;Ju-0jA6vtt65rBrIHSD^y=!4@bEqIWCVOUsz;y0p0~I
z4Udp85c(|4NbG<*1ZnQ<l$VpkfwoIZMHLL%C<DUdd*a1mSpHd+wyv)3*Gf?rf;@Zn
zj7r22g-b+-2MFr@`}bEZ%QdsLm<0qbPESu$30RSAZEYb2M-EG~v(Gs7OKO2yS65fZ
z3p^wPVqsh2zCZ4omYRAdLh|sc<lzDfQhT_&%<Fyl<U{pxoLH|e=KzqvP8dRU(CwE8
z^A&&udwF|r0>1e%8)u9e42S#c5tFAU`-UDydPRZ*rJwVw50}Ocw&#a0xx2gL)PDOW
zr=_XM%gr6Z%*?E!q{OTg&LHt-ad9!m{54QgPy)?lWU%=8_!eenWYfA8(e0g`>2YzC
z32)x$7#nv@O_{*;vTd!bOdK3|Wo2bwzj@PIWZBg-I+{>iTnwnmpu&X{dZ9WR1C6kF
zxVXY`1D+ln8~~&L*~I8;3tXEJAKz3<E4C*;Cx^p+=u_R2qmB;Mg9i@|f~0=G>(G{$
zm(M63T9UQ&K3B_@?B?%Ll??I^8`AkkFa!wn@1x06HKcEOSLkgVMo%>X*)(IO=hA%F
z+j(tcZ|6?;7saV;GF;cL-5tm^C_{s6lGb244NBM5Ha_-i*Wwcrl%=Gk(m#B_06QZi
zqg!sVT!yU;A(YW54E={EH_+Gj-Gm1|ctk`%8teQCpMc}H?k*2*!?RE4XsZMvCSk+i
z%VU{L^SzZ}uY=h*yOQBMkz(W&6pfoRO-=y1?5ay_hkG7!mS7%QtdM@=;nr*$PAzx!
zuNxxIwX$aijeYI5-5=8b>}>qNzCv%7(Gm6U)w8!ghkpprT-aM34RW1uKL<)01~UII
z$SDja=!5l%s$V<3>i<qayO%H%N+&`F1HB2pezQsHgcNj=;Ly--AXxAK*f*~kSSRgX
ze8NK$CN#Q|nUU;~)hpttfZ2BKCEM2;`-@Jie=zcz1{SKKQ92wHRsuBHUCK7$RB^Pk
zpP96^w7#10$z)gU;eLG36n=l<`@5?g9CEjA;e)^q>cLqAkAOgfq4e?ejc*MN_d%ol
zzW5|w)cKm9je7N8s41lWzm~`JjdM2Q%93-1=rhywY<KIlk_tIWZMHpZ1xt(fDnHNV
zI21HwQhNSxWiMk-o9&4z&pY?-y(ip@`9ouBZ7uu~yA~5Ovy8jHMSJ|yH*aX(fB5he
z1u%|;oIC*3crXi?z*E4q55O&^rlv7$LlpXUXZ*CXHMzbaQybIuzkWum=Wt;UCU3w=
zEIwLVDT&RMe4=IPs^e)?&d*i)d9CyR5gc-V*ya`eFTf!>3JQ6I-iKbq@tegz%5ix#
zCp()30e+_Co&&X57jVu_k~??4IVnt8`{NJO{9-s-TKDcf8S0LeVQDEW<ZCTdL1TDa
zhHApVeNRs9BT8-~+ajY_^OIjQ5#k;@AA8iab#0<iHrCcwe6P#<jnth7KoWO}E1qvK
zYSJ)_tVl~we?IB8eL*3Vstzce*p80>gJH4e(!PY}u>Tv-L4UlqOs<3Bk!TqHnB3t|
zxo`Y$DJqV6EYLoazmQ3X<!}GWC5c5?Kp>^CuqRm+|C;%_Hr6VInQp8qsLmc$6Gp08
z{;vmp7IvdVeXnc^nK`;(-Js+=@ZTmc66qRt{y5I*e6$*iVxEpGeX-)=cqPlCl$iJ8
zh;sA$xC&g&NF;>)jN}{Ee$finVlr1wI>n4S1B8a;jbums_#$>71E3qGGwNp$lwU2m
z8ka&pzzUh<P76P!#w&`gEjLPZcoxzW-aBScq~HA!y28YI*$DmpFgamNA>ew(rT31P
zn~5%ys<#FzLs9kp=IbX}QB&cho02+hF;=ojyxBA(_9GzZeNmNRGzM*8TX6&j;W(X3
zPzj7Tx(?<YcBI=GIR#%vS$3=t&#IJBKfJ=ED?W8shfbEY>M4)I(rj%hJ)|*86ca<q
zB;f<c#eiQES@SN;{<iAxLE0i)c&yibgTRzj(czt)!sTX{&pYd17;B{w3MGFfv<Vt1
z0@xOdrGwy{7Ur9<{TP4bViq-h&V(KLe0VWy5<!A}ONQe%mK%C-rW-k0EE>_a7S{n`
zl4}tBCjjDa_3)pF;=kpE#Jz$-a7FmBc3cNGJ(bgkr_Lhq@6vk4y0R^Bt<1z`YSjn|
z<<o{$90QBOC-oV+eU92r-@jJld{3!}eu7&|-+8^H*PlZP-S+8zJqa1vj~p@_vGT{$
zXP`O_L??TBztQ~#iT=X^>|fUu#l^$~g0?JD5o*NJ#+U4Sav-z}!<qMC4@xCTv|r@r
z_&594{98b05)Hpz2nh|9v$wa8+k0hBogid)!`WF7X8pM&wIFgfH50&bZtGS1_HRTV
zQIxh*m)-me2kqtC1EKi~2T5%k=<5@J++rnQSCen9D{pRo#oymw)GM*UR0i}B3@-a1
z#BE$nnASa%I}*#G+cQTf?z(2+1ty!@;bO)sXVjg$cm4hRkcB7ZLJ_6K9eSr8cQcB{
z`7F(Vkpon~!NvVLI!X%;>(e?D1TnL;WVw9#3}6|6NB4YCU7+<V$8p*9$^#IQJX+yL
zq=7ukhts`yihb_u;2<RkEK}URp052_ns^s3+;nrhj&X1*E5(so;7U{fL_x*}4#wKr
zmPH-FIB8+VyX|x<Y<4R!Vj%<h#t|^%*mn(U#z>=E0*#NCv|G0(Pxgf2-Y$!Z(trR}
zdkS)5t!crNa#(<9md2-P&}l?nPky_*TtZk`SqrnWUIO?bJb(T^j3_0?orP`{b@dF6
zHV$_7w13S)>>8JBLJ(3MOcvl@u@irSTYLULH5AQm-zEVOC`J;{mIK)5^jrxltY=KX
z=>Yx;0QwdHzcdV30x3Ze4WtwtT#RRR3k`Ssz{={Xu-%B6Q$p^E^F2%LL@D27WAEL5
z5w@nR{asWuIB2aH?^eWq?7AKYMY5>#%R-K#)Kq`4)pxeHAL!}P0FYalo&6yG2Ryi0
za2%A-Vy<iN!861(ZXPO(W|f!-%8=z2e0t*SJPT!cu-zr45o>N#<?-rgO@P<**RvmD
zVS(F#IZK8uT(Nt|FwicMyK0Bb*lY8q<iXEqLOi^wqAp2gG+3wDK>tU?xd2OnCR|+B
zp><lWZ%JTz?jZKH9wFUzl6UXkwK{^J13uDUfG0ANL{35B0YJCM4rO~2m%ssUPY@;s
z?eY1rZ6l2I0)Q5X^qo7Tgt*x9VKmQzgYo3#<V?V+i$tCO3-*A7`&1?Xml@2u*RNmO
zEuF{1yM2=1y9h=pU^NX`e*>`c7Z?i@Jj&*_wtBJk$^aO30PC<osIuE5K7YOr6f|4=
z<y)urf~D;ZMsUQyzxu4liA)U@JfISNauuI|APSB42fsw_=1nZ*>({R_O`HZ_NWe^v
z7jxx$BAVnleUXF&0fQRE%&Ril|D{+|x_gt(_qFz@b+3_L_0yLxUrx=>2Z1nEJUqe2
zRZ=p%G`UL|So%_bF4R^i0pqD6wSYJ=elLg4C#0dFVPkJk9*!Df0>JPpz~HZf=B*dM
zR8%|wi&s%m@%EYP4;l$UlwjiIR4prn<iLMw_(htR_0rh=>G)}tUB&VHOC2gGCq!Vx
zLiJu{XO{&PYp&~UL`n+NpXRmr7GCwyn%M8%eBZN=SMBRD=M-+LcCMuJ(A7K1|H60@
z3-SNC!^i)xI(%B_(`1&?WR1qArtN2xMxTaRmAH(n6G5+rV!t<+1AscCM{RjFR>X0c
z8_0m<?~QtKr@7Frc!2mt>Te|p2?)}F_4w{rOm>^`4Ubu5`_lIhU+PR|5mR*y7)$+!
zmq$-zrm7lNXaLy--B=}bg7Bj`$mNLI=FfK41D_bpi8Fr<IRcgl28pcCy_y3fs1`t+
z;1%4}(5Poo2>%2ex@}Z++1PdYqKr!lyyvssAxy_>inG5yx&HmZ_*x?UPkoE<F>)|w
z-S&npH{1EUOu*sp<WhK?qCb~+Qyq$qSxRbh*c`7)y5G`ldXM>Ue597dvb^h2QN48K
zy843$X&MphpPBSIV!eTK%l0w+WRJDUKiG49Xzl3287{vCZXF37iZ_J)WSc;8@*w$Z
z7>SeFIhKt;)U=Z2;5!!yU*C7%Gq32<5ls;yRvdVz+blimYFtXiAe%hB%8ccA-mj(S
z+-7H<LWf)=y&`%O2aglUl@p&`@#s^*8I~a{62T?=s;4?}gVNIBGr96zK~l4GQ7_!i
zoSr0keEs+ifXzz)HkBu$g6P0!WK&r=F;n>G)vHcK8{)<MsP3J+8rEn=@|50oi@TaK
z+T$Of2fJBX{6)BAR?~lB*OeDbMlZ3lbvC;+TDRlmJg1785=oJ=*fCWq1&Ko}+8iZ~
z9bLRi^YwC@;zGw8`*Wt&_Z8I5dS#XGDfw089{=svy<aOm*}d!_U&5kIT_j4tizxb4
zWD{<VesX!gWGuOAhZBCrZKJ&ZkDA{{LCXUn`)l~6;a7&+b<iDzm_0Q8|7X|TC<VLD
zwdQF2xR4{H#%1y*;alE|$opPjZU-06Qv5La?IvglzRvT!<0oE#qJtFC0*`9_u*SU?
zRx|ldM`|V}_C-r0^=0ksIL&k?&ej&l*ppIF4D<%!`)h)*Ea8zD&+?yy%l=fu>Q6h9
zjq;m-WAFm{P+(k2mm#ZgS+y?e1f7{hKD3tJb!<B3jnBz}<<Hq!W*F))7i~(bs;e2G
zn>}`Nss}(ewX}qf{QAA!bzcB-DK*4YJP4@5tM)Y(78YMkc%Hbeoc@Y9m7c8jUL8u<
zqw|r^%g(N!t`DO3rV8>r-W_y+02bG(GMTZ@!4()95T}7`#~nSrmykoEJx9#&<W>^q
zEk{SkjV|AlqVW>wxYG@k#@|kkj|$A&C@MD_X(0%Ph0uw+k<8A{ez(fIISV85SMS@C
zKp>8h_eOrrB|Lfz!x55arAJE_st)7S!A-$O1NmJo5d^OCXtFx;{aTgv#Ly64lG@;!
z1L}^kF)=rHJ`p2Z8($tcFVnA6(}ZYgXiS6>Dl|vGy&xY=d^+j5F5v|$h!=NvOc2H3
zISl429&z#hRGgazI3T0N>?^Dy<Q$_H2`C8CAfLnX5JWzW)c2sxcmtXS6GZD+qtDw6
z=G`<hVzB5a-_w2$!!iU02m7ia%sY6e0k|!%%ZiTqF(kPnl%iRkZ9-Q*X#3k1=zIcK
zlupDE2edH=FbPv|8xca@0m58l7?lFH6XrGqe0V_;d!L@33hQ+H@q!I8AeaC!LdwV(
z0VZ48`}a6tAp{uZ2We$DfQ3RzOG}`H-tax$_x*LaoDaSY9?W@=)GorP34(%I>d)RB
zojjp9+Fw`D&>)A=x&hh`1NcT-qXtzTf=kQGn`;&8mzkNdFj*#$y<9Q31euj{elBeT
zjdfjJ>bfWJKR$UMxhSFoA^iiMDfRYzSCD*KK^cI>lZ_y$&)MV%4Ds%KV<~ZfUVsB+
z0mQD=ocbWrpmAY@Qflh+$am{vjD7-G^c9maH&|J+&k5^5Z|Y}l?(AcivA44FgDwP#
z$J<6m;gD=WhKGkSb_?i5;X^|@q161i5F4wr$*+38uwaGBUx7X22EO3*k01Vki!csL
z-^V*v_V$e+SMmUBXipR&#|^*&nN-Nj%L|i-;;#8khRHY?7#eOuk&;8qN9OKbGCvzB
zm`oBOU_Yi-R?_L0*w(>wbpSC@-;V#vm9yNH8)qmu_1=q5gL7u>)L899jerojQBN!d
z!N{1nxEY9FxviDWBL<%8GS=4D;0B(9_tiHrU<$_I#{Pa2*d4j{w1U<#{ZMagk5`*c
zy!Xe0B)t!(V0#<kn7v|(pyEA4D`b0n&(7Xn9(FKY{jL4B$OU5JCdi78<Usmo{kF03
zq=g}b>l#C;dp{(O1she^Y{G4T1d9!anF<m*YRTf~(cqtdi|2g+LC)K{x-a0nq`<Q7
z+`02fhvT~Q(nUWT%U4iPvf2GV0EF=*bi_+~iz<RPiw%IW9^R25gVF~B+P}`E7B+t4
z_qN?+j<97X-E1l=2L~aXUJ$($L5ybb+K|a^Lt;dL6~ifIdV!%P(qP?JR#uXLjx{xM
z^IqGgtsUS$y$Y`bKDD=!Ves^jTCiRpAMQMa9V!{!hc2K4<p^Z&Rf<0U<0)zLi7{wN
z()oj>2j!AO;XUk@Ke4cJKOaPix^0+v9j%rENX3N8fF*&miA&6oLl_Qc0+xImGG>56
z$szvJ0J$+N1d@-Kk^tFmgw7H&n|OG5wW&8lV)!+Ia+yAO;Ls(pfAy$1S=+i;FTTSf
z!EUb)lNM`_VrOUH9I?s24+{3jygYd;E31TKZ*Ol1u~|9kYab5kwLRO@e^doa6sA<d
zoNdT~A&*xx`XJQhzg~SrR8UY5&u4xsWAGXfGQ9KW9~P<YI{gHr5ahr=Q+!-Tm3aR^
zwI-)0$8L)s;&@<rNNpQ;O^!GhbaDMsd(F;oz!nh%ymdD>H<OMxf~|gogM(>hWz?9{
zfay3uRr&@8XCPpwsH|My9L4g=MPEvZ(^6I6ZX^WQnV(H5>S%X42z1!b!$x{~`0zaw
zMs0W34+(BejeN!=fcGbk)?K4cW*ARvp%i%m-9msFqE+=B9Ty;$@ceEXCv+}_aJo8Z
zJDxoF;oa;S1iG=Cz+cXM*$bqT@VE$-Ba7kSd#fP;W|3N`qC1+J9|D)d#nwRkYsfRK
zAfczv#aS7wIT56xrFHn(Ogh`@vpv_*+|{K3ePY6Wo*vSEwY|OMfb49Y5}Ii+vSCOF
z0rd5(6=TpKZI`X6zwCwGhH%!%h@RK!@jjTu&j4m(yzM(_^6zqT2-(yU;VFpz03uuu
zMF!L($2WHwuqk0yb~Z*!_;qmbhcP*;inOjS^(|#(2Vl7|v9YG0vBK%NRh6586BZWs
zF*o-nWco0!4FKADxToH9Rhz-d<qQgss_Ic!PmfgX&StP4u6rK}oNPw;rogP-pYY^n
zRZGNELPthN2S5Us6jF1)`tyCB!7P{tGAE1S?}Su-p6gYV(A|FJpB{35kO25B4uo&0
z%!v(?F@ypE>NZn%jxkU^O-4(L0*yvPQl3dbNa#mt&9PmOW%d9jNBE#Iv<^amFz86>
z>BB(u_>)ix+tVSR^>O`j^-Hgvu0#0y#*G`FOdIf_dqZmCerKY{ugTM6<6nn|*Jd1H
z1Hq!u8ON=)IMo|;hw~^WFJB_oMno@q5ptN<y?*hCOGx}_u4`lg`e1=xh<vgc<eEL3
z459}R#;GU;hC4<A4+|bmO0JBS=8q3m@AN3IrZevitQtG(l|Olyh*EmH_w&~0k`f9o
zF0NJF6382gCaINW=)+S4XdsJ5L9XTp^hbK5?=bk&pi_aT02EAXAR55=S)hw>z{heu
zdk02vQpVQGPcF~P!)Bxw7Lq|AYGY$#p$FK}e6XmeGB_`al6&(~ry^-$5zGCQayiEy
zG5PtADvqJz?!a70Or(Q+Wleok@tFIUWRz0tlMfX+#pi38xr;#OA6y!49l=~{AuiyN
zyzpx23V8id$;sgmo&Tfs9ZuaFBMBDQrm4CB2pq3~xvc+9)f3F+HB7b-qs~2J=!)_@
zJizv!!W$>zYk7o-&-v-$VELhW|NKD&_*n$|+EeVw^UUt?#r@Lo(-Mf%O*Of^8z%n$
E1J~F{fB*mh

diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html b/docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html
deleted file mode 100644
index 2bebe69..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a_o_d_e-members.html
+++ /dev/null
@@ -1,193 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_boost_a_o_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::BoostAODE Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>bisection</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>block_update</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Boost</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>BoostAODE</b>(bool predict_voting=false) (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>convergence</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>convergence_best</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>featureSelection</b>(torch::Tensor &amp;weights_) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>featureSelector</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;BoostAODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>maxTolerance</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>order_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>select_features_algorithm</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>selectFeatures</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>threshold</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>update_weights</b>(torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>update_weights_block</b>(int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>X_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>X_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y_test</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y_train</b> (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Boost</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BoostAODE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">bayesnet::BoostAODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e.html b/docs/manual/classbayesnet_1_1_boost_a_o_d_e.html
deleted file mode 100644
index ba60471..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a_o_d_e.html
+++ /dev/null
@@ -1,417 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::BoostAODE Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_boost_a_o_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_boost_a_o_d_e-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::BoostAODE Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::BoostAODE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_boost_a_o_d_e_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_boost_a_o_d_e_inherit__map" id="abayesnet_1_1_boost_a_o_d_e_inherit__map">
-<area shape="rect" title=" " alt="" coords="12,300,166,326"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
-<area shape="poly" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::BoostAODE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_boost_a_o_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_boost_a_o_d_e_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_boost_a_o_d_e_coll__map" id="abayesnet_1_1_boost_a_o_d_e_coll__map">
-<area shape="rect" title=" " alt="" coords="99,315,253,341"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
-<area shape="poly" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a6b0c6e029103b8563c8e15acbc40b3b8" id="r_a6b0c6e029103b8563c8e15acbc40b3b8"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6b0c6e029103b8563c8e15acbc40b3b8">BoostAODE</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:a6b0c6e029103b8563c8e15acbc40b3b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aae55c59089f73e8941d4917dcd47dfbe" id="r_aae55c59089f73e8941d4917dcd47dfbe"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aae55c59089f73e8941d4917dcd47dfbe">graph</a> (const std::string &amp;title=&quot;BoostAODE&quot;) const override</td></tr>
-<tr class="separator:aae55c59089f73e8941d4917dcd47dfbe"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
-<tr class="memitem:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost" id="r_a54bb9e01bfce0c4a3f3b1ae890d1f646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a54bb9e01bfce0c4a3f3b1ae890d1f646">Boost</a> (bool predict_voting=false)</td></tr>
-<tr class="separator:a54bb9e01bfce0c4a3f3b1ae890d1f646 inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost" id="r_a2590c3315a7a6d40c5a5dffdd245bbfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a2590c3315a7a6d40c5a5dffdd245bbfd">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
-<tr class="separator:a2590c3315a7a6d40c5a5dffdd245bbfd inherit pub_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38 inherit pub_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a9cfd66816a83790434bb7b1a3cfd8607" id="r_a9cfd66816a83790434bb7b1a3cfd8607"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9cfd66816a83790434bb7b1a3cfd8607">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a9cfd66816a83790434bb7b1a3cfd8607"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
-<tr class="memitem:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost" id="r_aac58b795401b3b7455fb2ce0831460d9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#aac58b795401b3b7455fb2ce0831460d9">featureSelection</a> (torch::Tensor &amp;weights_)</td></tr>
-<tr class="separator:aac58b795401b3b7455fb2ce0831460d9 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost" id="r_a413f675b6c2d72515a0832e125f48fb0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a413f675b6c2d72515a0832e125f48fb0">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a413f675b6c2d72515a0832e125f48fb0 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost" id="r_a79e4c58021af69e26126c8f58d1c3b29"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a79e4c58021af69e26126c8f58d1c3b29">update_weights</a> (torch::Tensor &amp;ytrain, torch::Tensor &amp;ypred, torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:a79e4c58021af69e26126c8f58d1c3b29 inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost" id="r_abee86d771210899db79678a2f31823cf"><td class="memItemLeft" align="right" valign="top">std::tuple&lt; torch::Tensor &amp;, double, bool &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#abee86d771210899db79678a2f31823cf">update_weights_block</a> (int k, torch::Tensor &amp;ytrain, torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:abee86d771210899db79678a2f31823cf inherit pro_methods_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45 inherit pro_methods_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_boost"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_boost')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></td></tr>
-<tr class="memitem:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ae19dc6d4d70c74baf8b801a22a935a2f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ae19dc6d4d70c74baf8b801a22a935a2f">X_train</a></td></tr>
-<tr class="separator:ae19dc6d4d70c74baf8b801a22a935a2f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a023913d253aeb83dba60a15f61a059a5"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a023913d253aeb83dba60a15f61a059a5">y_train</a></td></tr>
-<tr class="separator:a023913d253aeb83dba60a15f61a059a5 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a3945ec0bb41206b421632fc999eb7252"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a3945ec0bb41206b421632fc999eb7252">X_test</a></td></tr>
-<tr class="separator:a3945ec0bb41206b421632fc999eb7252 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a88de19ffafabdcbc0cf8866d5c059138"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a88de19ffafabdcbc0cf8866d5c059138">y_test</a></td></tr>
-<tr class="separator:a88de19ffafabdcbc0cf8866d5c059138 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost" id="r_ac8a53b6bdb07aa4f8bfe43515da8228f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#ac8a53b6bdb07aa4f8bfe43515da8228f">bisection</a> = true</td></tr>
-<tr class="separator:ac8a53b6bdb07aa4f8bfe43515da8228f inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a9ed44d620c1f2e5c06c3695585e40860"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a9ed44d620c1f2e5c06c3695585e40860">maxTolerance</a> = 3</td></tr>
-<tr class="separator:a9ed44d620c1f2e5c06c3695585e40860 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a5b4a91f940ebcfd532c73df0018acb3e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a5b4a91f940ebcfd532c73df0018acb3e">order_algorithm</a></td></tr>
-<tr class="separator:a5b4a91f940ebcfd532c73df0018acb3e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost" id="r_a71e17067522a19e6d23ab503aa7cc16a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a71e17067522a19e6d23ab503aa7cc16a">convergence</a> = true</td></tr>
-<tr class="separator:a71e17067522a19e6d23ab503aa7cc16a inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost" id="r_a985df40f71dd9a64d0fc9e66ed41595b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a985df40f71dd9a64d0fc9e66ed41595b">convergence_best</a> = false</td></tr>
-<tr class="separator:a985df40f71dd9a64d0fc9e66ed41595b inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost" id="r_a57bf7c3a220afd538287f88be41f463e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a57bf7c3a220afd538287f88be41f463e">selectFeatures</a> = false</td></tr>
-<tr class="separator:a57bf7c3a220afd538287f88be41f463e inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1dd29281582d7815c7b3302d61492bde"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1dd29281582d7815c7b3302d61492bde">select_features_algorithm</a> = Orders.DESC</td></tr>
-<tr class="separator:a1dd29281582d7815c7b3302d61492bde inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost" id="r_adb59196a4e112d4c1921d78766d7b966"><td class="memItemLeft" align="right" valign="top">FeatureSelect *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#adb59196a4e112d4c1921d78766d7b966">featureSelector</a> = nullptr</td></tr>
-<tr class="separator:adb59196a4e112d4c1921d78766d7b966 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost" id="r_a1cbc839445860d3e4c8f5a11359c58c3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a1cbc839445860d3e4c8f5a11359c58c3">threshold</a> = -1</td></tr>
-<tr class="separator:a1cbc839445860d3e4c8f5a11359c58c3 inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost" id="r_a4b290f030febf39c41ff679990d9cf4c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_boost.html#a4b290f030febf39c41ff679990d9cf4c">block_update</a> = false</td></tr>
-<tr class="separator:a4b290f030febf39c41ff679990d9cf4c inherit pro_attribs_classbayesnet_1_1_boost"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_ensemble"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_ensemble')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350 inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_ensemble.html#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d inherit pro_attribs_classbayesnet_1_1_ensemble"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8h_source.html#l00015">15</a> of file <a class="el" href="_boost_a_o_d_e_8h_source.html">BoostAODE.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a6b0c6e029103b8563c8e15acbc40b3b8" name="a6b0c6e029103b8563c8e15acbc40b3b8"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6b0c6e029103b8563c8e15acbc40b3b8">&#9670;&#160;</a></span>BoostAODE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::BoostAODE::BoostAODE </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">false</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8cc_source.html#l00016">16</a> of file <a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="aae55c59089f73e8941d4917dcd47dfbe" name="aae55c59089f73e8941d4917dcd47dfbe"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aae55c59089f73e8941d4917dcd47dfbe">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::BoostAODE::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;BoostAODE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8cc_source.html#l00157">157</a> of file <a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a>.</p>
-
-</div>
-</div>
-<a id="a9cfd66816a83790434bb7b1a3cfd8607" name="a9cfd66816a83790434bb7b1a3cfd8607"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9cfd66816a83790434bb7b1a3cfd8607">&#9670;&#160;</a></span>trainModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::BoostAODE::trainModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_boost_a_o_d_e_8cc_source.html#l00033">33</a> of file <a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a_o_d_e_8h_source.html">BoostAODE.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_boost_a_o_d_e_8cc_source.html">BoostAODE.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map
deleted file mode 100644
index 9a88f80..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::BoostAODE" name="bayesnet::BoostAODE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="99,315,253,341"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="118,241,234,267"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,282,178,315,173,315,173,282"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="106,168,246,193"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,209,178,241,173,241,173,209"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge5_Node000004_Node000006" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5
deleted file mode 100644
index f160e80..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-3c89fcabfaf26457db505ef70b62833d
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__coll__graph.png
deleted file mode 100644
index 32135bee3de45ed41c1104b261ec0f295a52ef4b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16880
zcmdVCbyQaUw>`Q+q!f4_P#Tn0KuSuwkw!{F1O<@}2?0rIDFLOF7LaaGB&7_xI~8d`
zLYljt_k7Q}cbt39`Q1Cl{o{AXJ9yQH&EES{Yt1$1T!d+=D-sb>6Cwygq;y+O3qi2d
z;L8vn7d}a5BKZY>;67AQlta!i|E1UG#v#a6L`hCs$Nla4)U$h+c26ZYM;<@$zbuV~
zwMCdA9b^9D!F?G%hgXL8Z}*F^o2F<dEpl^&|IyD?UG=IeBwJ)rQ_sn<%GUgv9Giqc
ztrD&LJbhAHA7_v6_so?qxY!rWK9_F#NYEd-3*Y>d=HYAc*reOb!VQbkEP}WFU;pd$
z45fK&Sv5{C$1fN5kkW>bp|!cUx3_cAQk0jMx9-;XqhY0NEn{llhppTKzs9EbnHi}W
z1NX~+etW1&&**uvDSpxN&0lXlGPK<}o~p$<kqiU7)=+epF^O6E`b161*of1wl&7Ct
zTC&DQS`2Fjay6K^xl6jeUSn7Bv?mVD_nJrWQVH`@nW^FutF=?c`OC)fwwurX^YQ5u
z%ljW3u`W<>)m^UACsK;#ahR?%j24>ls*tx2!SZ|l9J_9B+=f!fo>oRiX0!8V&sA~p
zsk-Bpp@Kvq2l{W{zrT5Oa&T~f`3E}(2NpuXeP2#h^<uUC)C<`V;s<RnE_anr59f$)
z93iEq&DdUlzOuP4`fjyR?Em>b?DWRQ&CRW%UdZ<re?>(_nbShM(Vg&2Y;5fGA?r6g
z_mpBwpZrw5bm>yMSw~c_CBLxKJdTX4?CMmKeKrhpA@$it^XbVE?}N`cs>%EWjVF6F
z@UxEdtptdldTz_N*Bo6LZUwq}dW<YA=VO_%kj%`?mv7%jOgJ>s!AlD}FRE4))>K(V
zA4woyo6UIci%E|+S4$d)lh026&Mb6X@wJV2{idt09~v!j_}*Z=Av^aM3k%B!&t2>K
z?}UVeQgY=JoLpRjzQQ)K%mia&V?+(z=6o3+K79CUM@~*IQ!?^B{{|l)sYCrP`LxF`
zI@_t*%W<q~pKD!LSHwy(8ia;J4p)vlBv1XHZG6N#+FNg#IXitSc6PkoYh6Vt?0EIQ
z``r2P-Dy?2-5aaZ^`gYI!bqgTIpj-cXKSHBh2!6;rwel-SBn2iMg>nRBJbb7my(wc
zY8yBDv{(Im#^YCt`$}G}DL*xh_ePQ7V*y4PPfyQ)$6A*!U+!{iLMAhN`KcpAU%Ysp
zo6C0Z-aQ_xe&!_?5kyKx2K)HrWbW55JPi$vZM<hIgL$D*QN=^S2?-PphbtV2l(jYc
zM(rw>%jz(Zy}f;CSQzhbca?Zf|LACv<KyGr`e#p>Sy-^%ix@v~b8FAnEtuWdAQlo5
zx_Cu`7Uqw9Vr`~T^2w7YJWlg+UVCGY5x<|`6U=^miCH|fe_I^gY}#a3Gi8x#|NeLU
zp=n+>EVbF$>4|=wJFiauxWiPA+8fwQ&plUb$3&<N_h6aQoqu)rF1z3p5Hufb|3cHz
zMf#o{&Fmj<_wZT|zE?PUa`5Mou&}V{$>HwObp5k%BD+cJb=Mi+?Jl91H*aj5uI1#d
z(u%rqPP;D<Ax%{_BeOq#1j>h#CrvDmRj~P-9y~^xp3Zn<<^u;0FAJXLetPih0bkO}
zn#R|!U#qOc!osAbq>%FR^5j3&-{KMzDT{}!^YUV2WAPDrdHFj&J`ynSn3@`)w$@e@
zy3Y^moaOdn7qb%SqeqWo;^N4%-@WUNzhU%cXz2Bhr#KqT!p!`#qT=T3gamCXtLq*f
z9(}Mc)#2h-sj2D`5)zkaXjFdnq_I&@P_T1xvDV+$P)Xp*W{?ero5K_kAVDD^aq78Q
zKYp11+1Yv5BY8IY@Qs|D@h7+J{e5@m#`%SX<@&$V1y9FKc~D5Qgty2I!^+V6p35xB
z!cL4Ho}T?-WNe)!R{vT8yNT);<!nBOiePgK3sQugoxOHhB)L3AMMWhn^h-}qbi?VP
z4I`srg#{52z1WAo2AvUMmnF>?(b2ho{`_HGcQ7o9Pu^A(s5HFs^T!YVy!gEjzsb;J
z<KwY<1=&SLHL+P)OvZKYF`=Or-EWod+_@9k@K>nVd93^qzt_GaBje##$CW$?D3@qy
zRpsQ^G*aJnr-;Tio2GYms`gv*?{o>xpwM^p^vDnP_j}>oudZq2<>d`#$l@_FdLH~t
zSl*j($nEUxWUVh5Qcn?)H!O0qsR*(#G)(rGR^hIf3&15}jQcA0xce=GQtUN0wh(wx
z*X918`T6<xb#-swrlfSyaEXW{TXZGM%gMbFv}1(r470$PqOK^C5=DN)P|mD9A_F!?
zOiBvf4U>kqTqX^wvCMbm<<Fx}J}&4qhRMl65V=-=xKcnqQMaXLtLkbgak{^-^NpjV
z_d9o^s)ob?vxmET@8n14uu#suDXlA<LsS$LigY3_R|A?&%Nmk1JStrIABhT)C&wRZ
z881NOdsEp}P}SaRt8paJmzJR<#}ARvbAK)*?7f@iH-le!+PPn*r&A$HUuR_vCg;?b
z+S}XH(bAIP&?`*e+=O}c{9XU|%f!Sdy&K`=H!{&o3WH;5>S+>c@X&M$6R()JZ{IHc
z`T1RK!=x%$W;_0E>QgxKu>BU7o0_D4{QN1Mt@Yqncgp78o`Rzzk6xiZ77Yyz;ujEb
zE=M)#IqaHdOa6x)QFMvCX1K`J8#jnVQi$OY1~fKGLWqHYuYk|co2zlfcC-}BsM=Qg
z@5U6Gk}`Da)6<ds+{Ne{mi*L9yPn~8(}hb*mUSn46Yh}eN*}b~LVTIaik6Vk(~ECw
zFj@)77CAXSc3dA9IR5jU+tvC20%=Iiv}Zy0=vdcq->db>#2njgpOeF{))iG&B}YD0
zuo(D~Cp&Q-mKn)!U2$=6ng#~Q8cz>7_SPpt6zM&1PLBR6YH5+~ZA^uimhvFFPp#nS
zk9Zcr87{u}@nLH5M@cwMM9=ot{897q_g$<v??(Oj($y8zZ0cuNgo{8txmfSHD+96e
z;lqcRv;$Ly_?48D9Jt=J=#+AI7iQH+y%?!rcKV2ggoNZnZ7m}cQ%hZpv$Heo<Y11w
z#ipaB4-y6KsNo2qXlTN7(|o8Q5en28IoFkl$Z=MA6zKdewX(AM^7X4#=|8bj9d0Ci
z>(&F9M@k7V_afI4{W5Hb_pWZrD!=`+MP7u5(@b@%jnQ}2cfB5-{(C|%?m266c1W?<
zof6(0fY&lKw3{<bMNS?Z7>M&$#Fg;x^fPXHuTAN-sZSJm#I#Mx0yYR@T<g;8e-6*O
zzS#5GNJn=!G3GnJ(tM-fi#|&+S|NeU`1DDd!&p%I3fA00N3<E_Hq1c!2L|Tm=dmRv
zC6T5mI?<Q$@fJQeWo2Y$XJ`G+Um!O<+*w`}^4eMIyT;BgbMGE)C_WVx75;?_EsI@m
zVq#;T6Ogf{mzJV7Ha6fxo6US%wfJ!yq{`5ao*&N-!oyrRcY~!PH3Ad%^7ZSW!a~lq
z>3SONTy^=8Vq;ziNa5Z!gLo>gA|fIWA-3%AFGQDlAGuLp#D!f}Xwpb;Gg91E=dr!A
zb7ZmlVQiiA@td0SkSI!)lOCr^N7IXM?v9wu?1;2{{=E5>E$!;HYxn?QC~rMs9xgNp
zXz)HtCQ+dGTw-`D=0Q5+wN2!g&#^h<{g)0hmY#!gb#?X9<j0$-9*a~v8&fn8lfAMg
zR&pjg6D@vE*I(!4j1UtS2PoLLvpk?wGJ*+jFJGdbJblXM;Nb8gG&KE|^Ww{dgai*w
zx4F+jIDXx!;zk8iA3g{_adCN<D*i0iuqY?#=3}i#k65T86{tmAt^p*uqp68HI6UkJ
z#1^*H<CL=EM9-KR8j9};80<zhgbd$PFNmO(Rs*bz`P3XA7otQv*9YGg(+?CLEcIt!
zh@=sUf>`_5M_tw%(w{>qN#xLVCDI!P<$?UvMDT!^`g(Cp+^V*l=qxF@mGiG4C75HC
z$1QZf&^muuFlTIf&pUJ6EO{vEiljPB!y>QR$JN1Q7jp*(4Tr`PK{Q%dN9UzNR))~D
zd)BaLJhutvsvoPXD&5`PJA>L9N!+AElWF-K`~@s*Y;lp1MBadXA{$DElGkN4)sm8u
zb~hY-kGB+yNE9InD8<Uj$zAc;X9x-o9-g?rtJ?(0aVVKviS*?3=(o$x(j8|}wIR(n
za^}QIMtK+<277`O4as(3YoTNLbI=8~aa<wo4wJF&Cx?uRHiTWt?lTS_UCA$B?we}~
zxh^SrruS+zot!}J){7S}mS&p+25THl#;a`ZR+L0n5fusW|D5%n5#e7Q+I|xg6XXBU
z`Pcl|<FvN@t%cX@0cGSJM-8r@Snl>XD43d>rhM9?vLSJwsj)vEaE#z(Jr}}i7V)(y
z<13{ZAHQ&p2b_uc!hkY8rkgh_rW>DjjVB}v&5Y=<@$0e=u`rIei$*>vf5&A%CFhfY
zdU?havF@jwT{{@j<zTba^00`VYh1Ws>iuN965loB@G6E(5y_p+k;bwf`;TK={3K1<
zGNyTvG^d|LZf|yXn}^f6GwZ+9$04<Mjv}VaaS^vWA7a75|BGhDRBM40xr={~Jg}xD
z-gIi%u}{o*C#33n8u4upM5YzhhmWAxmot`_0)CvxUA95Nk6otH;KtG?#7=)s5Lkf3
z>)zhixR+>Y^ecLeo9X5LPHNUdQ2Gb~CH_nFyK?{ZxW2q|hZpeaS3b%M^Bd*)TIQKO
zV&TJb$xmfNm~bwVZswV{il&J(Q=iK678>hc)N-YJdH9lWpThr;0G|w@K~RX&b5`-!
zq&u!mT|7|l7?q6?>;%8qq@HqbR&PR{%VC${)YbSzSax4vD!e>S>NviUZ~T*AODX(3
zfkT*-%wTPhCbr|;lNIEw4fV%oAljfcW9&uOfxn0nt2t?JnSU;2pdV6d5W6{C>ojkx
zGTdP}-QKhib=g|>lHc9Xz)$ZFFOHnh#=Q(o@5s`|tB#VCn-1RWS}z)1xiio1M{>2d
zcgR@)Z5y_kh}yrwmnztE993Iw9$EMZb-R$>{l{x%BQtWpztW$zb-aC6iBw5l%Hn<p
z+1<ErDcY1V_AQCI5NRI#GBAijU0te=i<w{yDkEpPdi$lYN_v!xmci*Hp_Kf5+MH1f
z&4k0K+H9}w&*6|TG31Jo@Hh^RDpLLW)x+WWHZh+eJ^5VXNv^A(m0mLU&Qe?nl`=3$
zDL$={54TYi<}dR58u&9ESCW|(Yi-FYq@yPIf<(FHLZ&vJJziKxs1(r}DYKst#qSFO
z)h>4H=R<NX@2@e$s5RwEt!Js_i;VM(QEqL_Yc^krb^F|GPDT<sQ&5aGtgepzMD(tR
zt!7U7p1<sX^2?@ABPFlys*$N;j}pw{WfA#=M&v%b%o$zva@1c@L}!%xsq{;{+nk91
zshBPsnV)Y^8gVa&p*c-Qh84?jG&+IVGyuhe&4V@CH$bl~dOJ~7iqsE>xVzfUY}QFp
zdfo_m8j~Iadw5?cZ;61>>Exa4rLkKHg?DPZtD|HGUW_JhM#-U2`?U$@7|BBj7eXFn
zmRI7$Ned&hM+O9!3SCmxh9@Z9C(Ay!@7(Z1UMo`{=qUFpA@1xfOO2=<<``v0X_d$8
z7m74L3<^fW4GW3MC~$ZRa_Mr0Xj>+!xpr8x6R~I6E;BG#3lZs+s=9?Iozw13VSmlf
zxAG-jTOgrFiH;KQHNTpfrf;TB<T`;b(|e+%+Mu<!DP`xI@EIPgCG$AlUQQl0`P-M?
zVmzcU!F`+M<RtG^`c37LfoUhpYTl86Z51SonSi8-giP|fF`1biL5Ky7&Q0O-b8`X<
ztrFQb4-1Q68)PlgGF0jKafk6F2gH>bg>d6k-6;qNoLkXVWih27@DdeGm3dtpR#xpN
zTR}8I&83>n;*Q;<j^#!3T8iYFF`3P1$BFuf!YdiBnzh6hRPc-%fqRL{%A4=5u3h~s
zMEkaAAo+;6c08X*lDfq0P;=QZ@eytEdegAugIdEEjnbx~=!URKStfYK$?}2^+r9Vw
z5?E3cG)4oW$|EhD3%#~%)xj6Ezv^}dHo4)iCDUn;up5&V5UN&<Z;E5lR|{$_t^JU;
zQXXmLTqyXp-Z^-~d|@qOSH_gkFU+Pr^vbK^yn4f@8u_2@^hP5h1X*^LJ7J&BG;3Lh
zg^9b|ELX_Omw!aK;)vytCjMEb+$!o9s1h1E=gf`#ioe+DeY7W!&%h24q*`d_Eu@T$
zxT2zU$@TSh6DmIQ+a4-|kJR>e>gdK{Uhb;!&;)joJ}@%Jj=Wo&v)9gS$?8X3EtoTR
z!z=Js#Fsw~WbbwIqhvyVad2>~8|7cK`J6GPZbw9sliK)D(2u*Rd2BvY3$HG>yrk}_
z+n;*!v*U8Tf+}(M&GZ~kPe5#Y1Ox<8LK4xTtx%&r8}YJNQ;ecrHhn;s5*AvK9tQ7G
z&qR8MU_a4sOfIq3{_SYCi_-cOT<dLTYpZ@P6sr{F$AtF28pwl{NYbQ^zm@j#<;!2l
zRbJjLhS$nf^t!&Qljob*K7Rbj9T*bwhLntqEng>J1Nne;8|x+BY-cE%iF{+G(btbz
zi3V#DH(d+AYz6YAuQ)Gn*_+5nHCFV;z~Er=nqzXyseRvsJ#~D;o4994sUE&<<cr)e
z<%CuQ*+UM|eRMLRxj`sytfgGNf_kh7rp(6x(Gu#P{dK#Wr(+amxd%_G9UmV*L@0mH
z&24o8@DyNwy>fxk(29q0G6;2s#Y2x&8rmr;#WtMZ)P?%t)9Cp4w3^(&U!dKJ^rMS#
zLRilQrdOG5Uc?zjm9p^p)8DCO#>Hot#wQ}`f``l?2-;iBWvO=(YMNuDDP1eizNV@w
z1@|f&KmU#qLMdoF`Uo*W+$%FP=dqBsjEoEw#Yk#b0cK`%CO<L+u4lzAWy(C`xONQ%
zRrmQ36Cox4V#CYCYI^echN9Fxq?_0AO`bTiYZU1{KIezhl@z|A)c=t>JS@}}aVP65
z5vto^M7SARuOX5%rE4Rr+zmuhiVUqv&z>FKgevSYBBmrqbTXvvmQvJzzEn>R-%xSq
zo;fyt;EjsEy=JTJVRXs~kBUy6|CVhC3g*~hyR(b9&Juhq;pXD1-Vs_WC{g@zfgyON
zv{2IT;%jAHWx1!5rEBzvA%h$j`ZA#R9a0$-atsUzy+T%5w>+yJ%@wQi@qG26Uxc68
zWK3-a>0fBpGTZD}&2G`d1H2ItmFItwZNy`lz46j#0Lr$XYl3w##u8%=9OVq$$8Ac1
zqL~m)P^2e{-Q>5*eM0Z|9WKiui@B|=yz+>j`YBmo<zjvn#2j;10%@D}c@NV4P#lTq
zh}@3XTwjw5X<R<AjZs%25zI^exmwSQ`A2Gj%!@|#sUX$ACu)Az-7h%{2%Tq98g~c!
z?FwtAyi6#!@8NPTCqt_t;~_Qz4CE<FMvjm{;$S&9tv^y>!Glp`d1K?$$9ZU6Z}Wy?
z;R88FKCCmmSp(AjiCSJp_2pQ@Pp$#PfBBPbE0G;snt^jY%rkGMNLPoft5Skc-cWpv
z2arhUYdViXH9Zyf-bP)$+hJ~QE+_drDJd!K`r6tC@{*34I(dw=%21S8&B9>F`|TO)
z>@DfUj}~u7-?=Ci>8>>~)#HT8AtIzZv)b3C4<J(6i%W<<j>k;GivyIt0(P4GdIptp
z!XWhx+&rmyQGE8FP393mN6s&s#B7;IMC7u)D$W)-bdmZttNZtKCC7y>qD+sOFLnAw
z1lz)zyQkK&A*ER-yBurp8_e~p>5bQoFPKFb1dVM~!ey$kWmL0m9z^gKpr|y?A|lwV
z+{DC-Ty8}0T3pWD>z)7N9-B$J^jmqPpL7_P<;Yv)>Z8<tSDv3RXKUOBH`O_DHwn=a
zFD7LnZl*3?65R}KRMN7-3iR#$MSGU-A=;Ml^|ZXotnCwW-@hsUy}PHvvS)J3c)Gcy
z^h0hx$!|l!WzIc+i*#yPb1t4LpguifT(DyB%SIN9={WSR8}}5I3tk)RVa_APx>u-4
z)82LB>KN89!28qDvfRjekKXeRew_+-PYDf^gidX0BfHxy+E<zp&D?J*a*u}MV7pWc
zlG!&PvTNXkoJgYL2|m|Bio;VLajq!7@?ZncaaeO1wb!|fq+ss4mB{+(=WrDIH^Hnt
zsXm%Yqld$|N3EiyPPNIGE~0utn1{-&%N`y(cj*1rE1cLYLO|XeyDK_^4Q8O^+P}{%
z|L;TeFUEhHRvyvR)P~cpjJvOkgLvBuWq#0mvh$_B`y#%R++Q`g^Hn_Wsqf_Pz;Kw<
z)uy{W2H^&x>aB$SxeTSu?5Pi572_ciAK3(Mv)s0^$#u|`?l$BmRvXS7jzAX>xWDjg
zi`m+#jjd`W7UPpT&x}8Nw@Uju2~8>M+?$CcM#hEfgi@RYoCZP)#}(NlXUl%C{N?7K
zF)Wo9Ie*Qn*bCCDbRp^#akAuV>ztO2kueqU`)SkhBEiVI9>6)(?Ise0I4?zo)yb6a
zmN0)(CL@`pAbwhA&~s<kvn<*4*gZcvE&03w=F=)hR*GmVKKUX#reW!;)J@^=R`wMo
zz3u$?QV$>3pJdS{u32ox<h;JEs_G?;@08Z>%AcU!et+6ZYh<E*oc`deI!jWrv$6Se
zlwkVey^vTq-MQ?>vPKpKE?9+DfvCS@6B8OvZf<(DuPo3no<uas<9`s(ceyc~UtUhi
z!g8#g))fg@N?25s>FQOfWj=k5*Kgj0&-fgvE%S|w(GUC&I>x``jV{3@DBkoxIA-)e
zx|W%qj+E5zQMX6Zgg_lFw%vL2wuXifccbSnJMal1KoVFO_yRMF`Ny|!`P?+XK%zmC
z8Lf5YAf^)uyv(7;|J~Ez`&_SWK>0uNghKZB{qG<#VC0G8<Nwbjhy-4@b47Zeb_esc
z2QMipDg9VpR+5vuTXH`e_(#vQgtRn`SZ0B|u4Je-znJq4B{}dVEdk33a)Twm7O<sp
z6KmsD9BmyPLLZBdemADEswQgYreOZ25Jd~Of&v*QU7e1|?t+T9bz!5NoR5!BrN_2K
zc#oCkvwsR-Z4Zx+Z6kNTfBni(q&H#FNdGO7^NH+0S63vEQeT^!{R2@uOIgucKt`j{
z@SwP~v?~B4Vm^Hm?MjnO3k?OnPX^v((d{DcIoI{^*FXm-$jM#5e*F>(B}E+>Eb??i
z6;>npmgVU|kFQqA{rWFsV@aTdC;)kMl`(VsS5F-9;NHMq{+OSaVSoK1n21IJ=AdeH
zaq8)enhbt<O-=6Z>IfOSul&*XC4W46o{_uGhcIV2ep=evtG3Y*5f{hnp9!Idh`NHS
zgR&(I4CCYD6;ec8GyD6sYR^uOzP7gqV;D^kcXEN(=!ej6X`hwR@EACFU@?G)j=E=T
zY}J!0uI4#&i=V1M+TId7{r&rE-+Fp--@Rl0v$vN6)IK94HIFG`H(fV&jOF^|N#?6p
zm&VH<UHDjA8+*TmjWH9bGtfP9{``5ue&YrUH#fKE$?iyAVPOQ&Utc>qLLQo#Egv6j
zV}{w**7j~>)oQsvo8SBkiZP#14Y@>5uMU)QY+T&efq^)Qvt#FQJJKQX{s`dGfsHGf
zUj7#uKQjH2Mz$iuu1`OWdevdqR}&U>2ly$NAYkb%H)osW<j9Zi8!z-`$X=I_NR8&F
z`a~r}mJEd9q6c^V4k-~ef2b-eS;{TvU}hyg-!HW;%Q8+*PCEDRs{`$_nEoOvD#xJ0
z0*&qi{tB4QNZ5Y2a|dETRse0J4>(<*vz*NzKUVynz?}<Uam-3Oum?EgxbD|k7XR#1
zypny_#Cr&Yhd=5)3qYj<MQ6@K$th7{VQDx{9)CFa>QoTJX2VNj*zCc-*0jkt0x%WI
zRIO`3bab?b2oDbm)DO)(ozaiZY<2bZXj<9`IG9cC?YIbrHoUH#V>(f7$3q=CT4si4
z(V2*a+*VNuP|uZZ^f{UR{hP$s*VlIP16l?jST#HvLE9#fSuhF}4leFP0Nqt9Tbr9a
zXGU3lQY9lsw%S}kPTm7vxAFLoO3EWpk<K=UjU4>nyQS*?`y1z6_x?Rnk~Z1ZWQd%7
zyF&v}>Ow#>(2zuku-h7?=k7|-;Gj-xYwOipx2XL6{Sm~(#AJIF-pwCKchyueD(XmF
zCWQz@^Rj1gaq*WgUwC{=|JST<f!4{vnX{|AfweXl4C?<%^F9JXAEZC|6rSqJ8=Sj&
zpg{JW3NGsHrBrcB^xI}dC}bU^HvP{;EO9vmNsLI={QP{Pgm>+&HHB#U$jnT}*0whP
z(3e1C0S#_DT}K6HI+5oAHsOT}a~m5`@Zt6ip?H03GGx%&wP+>;P&cY!e?HtZmyV9E
z%yx{=>v*eUw82{x0s}}}!zCusAh120uJdpmcCa$iUm57yyQ@A!W#$_*$=e0hjJCc$
zB?wTl%GsIA1G#Z<qyn0y7#J9SY;34cPfuS$qoth}I~m|yee3LGX3Pw_KtYO#JlnG^
za)UkgrLQl>b8k(_x+)nXCB1(A+MJ)-YN>m^`1QYg0eUkqdsbRn8bdG^+$|{<Xum7I
zs3?cIGk3#&W}9GG=weTr21G4EyK$frG1`de#)p>4?#O{y=Dt`KmD^c;FG1*mgccVP
z5^}I2d1swhO=W^nT)e(nLLj>_GSbR$<(X`ayg+aVCXT3E4!=rDQo42Pmh0jfXjxSf
zuM7+f7AHa^jyGiqiHM47>Q^{sfi}+<Fo|V8gaEa?)R$HM`^5IW8Y5rG8`_^gf4Us+
zJJmYQ$;4S(Sz@NmWZ6M2{*a3T_(Fk6Tgz{EbadqKNa)`IDDN*e{*>%$yfzHgHI-P-
z*G@h@KAxu=_r#9YDkvp=>iU2346|<yIa`o}*a8w^_IJ}l-36xq><(~O9e4pE&jTn2
zloR@_QOJSG2lKU(x!y`rnNVMq*h<}H5yQBXoTjoCTMgFtq5Fa~?UWVfTMxD5+qD&b
z{N>kKHq<}*Y?j=~Zd^;!g6sqaLLL8koC1LKYaE98L&;q3VN#NtW#laxUkkh6GQDH{
zynrCjRrJm)u-_xa@KH%a8Q2k6vlkJ~W~q5kKfYmX%x4Ur7f?JpYEm}{R8wk$_z4r*
z#tGn_x{F@2bj-7Nkd+mW=cY4xWb|64oWoI$mV5<_V-FdTqvUOztLO*8GAw0o!Lo4%
zm$5C7m-dN|FI=_Fi5KC}zHFm`x%>W6%@6F$3It6#scr1K=jpAsGW9=U-Y{4?GVkRI
zk*XBJJ{v~P6;>rno7`!QGQgLAPDBt9dKe>SRLVR|3{b3q=jhoAt|@+Co3~!9D!xNr
zvi?yk+~N6EG2Ff{+|2}|__JTh*~6-|;SM6GcK`Hq)?)ai1g}OCxyW#4-cJq6_8C%{
z6$(HB0E~#2NVnmoD^`5%i5F>;{}V?Hqx;|Q;{eTC#KHh{FF(}$tA5u?g`gjSQP)CJ
zc-W1VZFYLV{?evQ(MLYUZj9JaLv$RSnBXwRt-uCJTWDq1GyA(`1#ppp1qB?mbabz|
z0u1~sEBWL41u7rGZU$ofzZvxA(6-<rAi&Vb$Tk28ueh@1>vxBZK%g#pIyT=H-Um!P
zdGUKemEYfo3hr*T(>TngJe~Ge$hwm*!ismrs+t!BjnNNIS^bZWA7No(fek~==k#%!
zcQBJ;RC-}yVRt}ia#?>)*-isEB?|9-B!&2L<KE>@R9^4Kf?vOS<rmruqN@nT95TDI
zLdfvL`+DJr50sEjHS?^`d^wazpEx`BLHzSHdCZrjX=rHp8*SqKk6C1cXj}s%;Kk0Q
zfu(Kg{OmFb{=ugR<TW13i;GNc-@YkRMz(wYE~?sT;CJ;_y>)C~DXox&hJ3rZvlAE|
zet}gj87D;@54nB&wjV}cJwBdYUJj$U?~aA=xUT5PDJqUww|xJ8!Nhy_GICWw;PTTc
zR|)`NxFBUivPz7ejpsDLzH;Tt{=q@Uv%ecq)?;hBDzB`qMd%jjHBU{^f!706MPX%S
zWzOocMql3_KYp0bw}$PnRrDYT<o}K@F-%>%Q^He;?bcTBN#a-P9OtlUX=zKn4xYGs
zcr<r)5pg#j^WFE})rAa|4!WHC#>ZdDI}L;8Rz^45sbc_K0kl@i9k`<n0xuc?z>#@;
z>;(^G#7JOaVGN9!Sm$ti0kJE^GJpH_jggIwO<74P<Azc7OV}*SyPk}U%C~P{ef;<_
zJ2!VO;66b4nIk5?DRA*Maq$!{FRyEYg7MvHk{VoGTsrsese0C@#&a1f%LZSBn*$0Z
zLkLMo*g)3@V+RI^r}>_K#AJk8w{_*Mt*u2LK)(aee%Fu8R+f}-t0nUIPkU{58Aih^
z@Ee9_OYjdrMRr=rG&Jwur?(p|^+$R^_PGw0f`+rxXV_8zX2@p}z_x&mN!XG02|4>e
z6HM4E4c8yGxf!;<a;eBj0$DWmZ@&t6U%GSv;Qc-j^=`v(|H0-eAijdbNEn942BUP=
zlvh+705ec%sO3P8+K<IW1-R|Ifn@+{eVOv%mYs>bE*q1#pnk~$lg$8p!OZ1@Rp_z~
zc(wRP{s5})FDPlSF6%m!so-sBXuu#*0FZh`9pK!dE^5OV5e%j*cB{EKIhm2l$367h
zB7@cfC%`SiNRl(gM%}CkiMtlt%#!UiYwV|H7Z%J?i7#GkO)&8xc&!|iBKmY5r26N|
z*`EQ(6a6QHzyq-TV31n_;4MVT(2&|igzj*6^{$OLW_yD86+lEII16&V5INVqP(MF}
z)1Vv&W5+u1pr@x_^tJg9hd|@Wx<h1?)$m=+B4l^3@M;=O<VR~m^6L5?h~i071rSNp
zz%3xq;r5`09C++k|0~><?<1Z!9zk^zMNc2~HI7X-tIrgScS!#8_MxH6piD1bP=p%j
z8V5(qYmU1-wxc|%Zv=^8fidA{KtnRJ%&a4MqR4|Gpg6kAz`Ekr5a!kN^R;8&iP%kt
zT1UtW!q$H`==MOZgW~!4)vUfyK(+`1B54#D`^?5Gt)O5Hfujv)89_wd)?j{;4+7{&
zNwM+p@Hq8L5hy{0LYe_8K=KcSU4cSFrbmH%-}Od_2~2Nftg2EE9xzN!O`*xjEr`if
zII9Q{>#A|D7+eHX;$q-VvsF6#J+6BnG=KGt7Kz0l_UflR;ooWaGR75Arttq(oThjL
z{vdQ8#9#s>Mf_Q{-Y2Liek?8B7Js(KTxF<s^Kth(2xWZKk^CUXV|HbF`qe+XyV($r
zN2nDG>8~&|Vx(>`pY&l2OK>3BA{AsYjvGeU&g6Y`PbVMP|7y2_q=BvZdtq~~h1{kL
zqv=nNS|}+IV5P%PyfG=zE3g8~7-oN(B}dvN<jnG_4HthU>PqIjc@qv}Zuha|>3+*G
z77HULiYUc~hAy>`NWO!_<T+8$u;K+3nc+5zQs#{BSxOYWxV3$59<_B`D4d(ni?{)W
zd-i%}-laOZ_lWAbYplI#lM9WHI5Ms)-noOO6LWugxVNtI$!*<w*tKl2En}?CT{R91
z`7bb-HDEB@^p(AYe_^np{}O{KUm_>}QzN4vcRSWR%Z12}DkSIi2gkYR{VbItp6?&v
z1@u3vR5<=<5doW0WA!W}J4$(^d7J_W6FsXv^(Ty<%?=4S)v^oaF~Ed*Z7USji{g>}
z2buvSA;lWNdWoW>qtYk_J!YH)aFi?HC}W&CY2<l6eH`dERaXF|tR&i^qgH+8v=JFp
zs!lcIa4H5@G3mI=XzJRMrZZj+mN+1Cy<5vQEP?q3ABVpuDMMmw+EFnQQC;n>`n6X7
zs2QI3;>D&gqFt1PV}y0Amh?jZ83tK(#i2fI**wR__V1hNTYsU`Iu1;`g}@^7OG!Ub
z>7fLF>pm61M7<ubcKhp?Z>Z}2wGiBS<Sfc4A^*558n7G*fd--}RH=_YN&fN8hE?+m
zeNhbH`do-Z7%b%wuEDqzM8s(Lo_SauGYh7&x(lymnoNBV1uRON&I%R+4bJ<jbtV-S
zEsdW#3eU~4V-<v*zGcB#L~SxLzZ>$hZb!MCcl;Q{VIEO74C<|=n^+KsF`kXdK7a6k
zxM}|zlkNWwAD8OZB5pS8)AbW$&CL%A0g?sYz`dSJ!uMNARaK|<RlMUNFe<`DF6ao^
ziY_Nd$EE9m`&t0+KbyH7Va-00x@N4bvd@MPcj<vn7)i}<iTXEWHiaEROqXBy{=H`H
zMK?O&5C2zSbmqxmw=sB*%gW01t8J6|vnwf;VmCiu;2uo=wYV4z{t7b)vfnPX72*OQ
zbN;^rGS6aWCH;?2SO8=7mYFGnMeMDx6E-L~`#<6|4AoK!UFVt9EcCRruo-1?)l*hD
zLBsI_a1i+N@A{kh`G>$S%4X-EoK-L@0jYs;2CaIhd^MK=Y70oJ$#;SmE?meMS$#A_
zPDN#~`sK-=A7Axr?CDZ{4z0Gu7-bX`aK*&L()%o}>!<t6gAbqHbS)na0&*onfeHM@
zfVl|3l!@^pgVzlK1rC8?9UxWnz`%f)q3HhuB<2^2ApeD%mYUu1KistT5|6m9UoRWA
zfFK9<(Eu=O&R6tEoI^NG8fXEl@{c@SaPfwU+y2wK;P%dc>0PBZ9@actDTw3EDFyh4
z6zQn|?Uc-T{dyRpsiSl0=dWMd;D7UY_DmZL-DorsC6Aw=!!*X!2o@WtWbY^|6WWcH
z2LWXUZY47G9q<j`5)}m|@z(43_*gIt*PkA)>geeyEH5wrSXhvS6?Zv3_ITptlmW}o
zzq(uLvaChTXO53Xr%3vyBAQ@{TXqpqR##^Qr_mwc3yeW&5NtKzBNh6~0UXve058v6
zBHVLW>A(#PKt@=~PPm^5!;b|MbBeIj^UzR;@Jd;Iz2IS&m6L-i8}n!|(^Y=x)Pmtw
zT=xM#C?U|T`eWkZn4%XK(XX^bPfkwqKt>YV8#N1!jt*f~+W+l)77lz36u@)fCcd(^
zzV5WxNfmKL5)?J`P$N&J-Gm^9%poQw#&A=>Z2)ON!ub5n8yZGN#!~Q=q0o?AHbJXm
zl$5*z9{bkFMy*O<M1(~|7{NLQkh2+}9cQ&c8n0P9hIb)SKc|~JB8S6(BjUP(!}$3h
zx7`~dhhP{Sz0dvwL<;Z~3XS%s6Lr(SH~i|9ceOp^Yj2T}(Ek2@V(z(f=VB5P@cs>R
zeV&-0X>M-TFMD|2*47q5;58HZ9uWdBiwi&lZeZFTL5281T?M7g&guxs>FMd_-@hF|
zmoo%PrAc^WY?iiT<>$eSsc33?)$RARaREK}3%45usEKww>)Qk!^juu{r+tp>>bAQ@
z!K-)<{LY)e`Y~{DT);E}I668O{d)H7*#dCY<Ou@VzMZvOL05w(C+~sd?){K8(gX;p
zx8N@KyPO<GR#sd<-1rwS;voBnhsh>FX6+Y2rZ$7)2iE_^aCU%uj;^lq3JSru2BC`j
zpFEPM2W062+?&0-PMRuq)9gbJQsU!-xr}RPoBYpJ#ou+HQ2EZe`@20{zEfl?hBcti
zvh~Gf4g~3lzS05qPhPum{&%^#Ep2V*fl@{MV6MQr+C^&)Boqv(>G}B!Jl=;c&ZCj^
z;?#h)L&L*wnmi!>Z)}PI%u12NmU(K3X2H<n1qH-$sh7bE%y+QXQcxm*WgKHwgh@67
zpZyZh_`$?<FGA=&@xkTX3Y+*``bz#^IKUxR133owhV{?v3o%Fb%}3PWr>73U!ZE>N
z(aO`|hgX6#1^ntYX68UZd|xLf-oQq*?0$O-_OLu?0CIAbz#m~tJ?=>@8nOp}<t-5r
zEnvHqiu49LlWyjfm&Za7Bcc;|wYIi)?b@|aFK=(F-IXD^onJxeFJ2Hji=xr!o%wKX
zL)*Ae%hTh7cYT(assrw8*~eJ>@7BQvl+Jcvwh9F`bd3P`?><h3ssnr#H^7G&3#NAQ
z-9c>(4a`+B*m$^NOW1&F)xQ}_lPmz(QA=H2J>>wbe0bnmP0Fn(FNewp{NI}`B-i=*
zE2sDJOZ-e~UGj##lwz0u&iLkn-86Z^DnEFfnGyWhd?DjSTEK&akX*?D(9FthQ|S9-
z^+&IHA=Sz2-d9-w--zkOZiDS38_c@`tF_~z#9hNd9sFZzU%z~50y=vOirI(9`&-Hh
zE&Abe1;5sEfGB3Xb<1FxkJ84;>)n55AEK?Q?@(~v<MI6&V;~gJoUT`kyT?Y{C8&V!
zbh)Ye^JkfC6)U#{mb(e|`JWlHS1k!-LI;#bnkXxt#B8}ZF4F(et0f+8*i2-tP_FQO
zH-TKNM&sYDB_D3UfT(wT4A_2GKhL}>4yxh?491S0BS28tPrJv}p0XR0*hpgNs<3fc
zf8@AWgF29K;8kJBKNqgtmcl_=c9jJDlCIVsq&Ysu^!`{FhXyJKv1wk8ho-5W2-T*m
z=L;UL<A<<Tu*XQ6;-hP4c#OF7qa>(o+~8UHFLhQ2>yqgR#CTmVY~4-QuUP0c*E1`N
zw=KDHXZXaBp}A{}fXT4#+VBSERh{xkNw6L5Ov|v?#inC-OZUP6l*M)2`3v_jM14-1
zP}{p<fU@z0H`YzeW5Gk>G-vV-Tyccs3wWwCenw0YV#YVRvc*H-Qo2Knm3Z6KQ)Q@i
zoDJUlawv)cpWMNetw|3dIg?ePGs@>0KHdCn#aD3E?=tCT8qMO#RrE9|wxn(k6L#^I
zPZy<`t9(0IR}|Z+mGE%p{?6O~KVUSJGDVXgR2cL!p=a8)#5S_h6^CIv0aRZ^pXn|e
z7KWi7eg_wC4ZCqjRXM;pu)By5Fy#CLXXXRWSU+tFAp6a2^2^GF3RYHm=6p%&=Vp8B
zlxUNSZi96h5X&pBfT{<%8fk)ws;t@HORc^1TmE}44HgxkoY(i5%g{g20`d&6#~*Xp
z%)D}eMMgF=hD%FJp+GgyLubX^cR9fRFkQb+010OaLRrdB@XYK(;&a@Zmw%OzkOg$o
zhog;8P91bl6VtXqq>?Qed6O&pbmJn_aS-l@t!+Syffk<K;Vn4oSs)bEyuVw>>-Ekm
z2-qJ?%*05q<lOfoDjxR;E`O8@1Ur#T?m+YOG`)2dH3T<|X{5~e%twA@^3zjpFgI;2
zL`x1E#Dj#Kt&%Vg)YRtgZX0-Y0o!dg<6W7BE-(Q}2LMoCy1NB^^XB02?>C+uNn$h(
zIdh+BaKAXg>jQup_9%^SQ%u$?&dkJ?)A_Bo1*2Q)%{T{$(ryea<I-7ugC2C~jLOPO
z!1V1lsK+wv=;#bS8`L&=1D67aS8ff;lYSA?ccA!iB+rg-ZZw{q8oEN0*yph^D(k9R
z^(&k=3QBx;hrj{l_~Q#Yf?9wOO!Knf<p$u<^?jtogyinsyJCMQolC2V4ih0rUwS(2
z!6tFCqrHE0l%<g-f%riweUXZ<^>{p-g8Ly<uuB8EB+s8e@7(_V>9+(lU)>wtdsssc
z)gxb$DzKbP#8)IP0v3R^H3R>8X-!QBfT}H^qhMm8vx7lcm=fcix3%RIaar<XOLfPV
z(*07u)2|X58rlRcOc+rJ6j^9DB!M*mMXM>0fb42uQ_YM|IM8NP0IdU{6(ln&s}FiS
zFhHuPX8JQzwAgb9z8Q6Ow7@oD7(meRdQIP8y5y8qRJK4KF$3O*5`ZCwGJ7lGO${|Y
zo}b77kzEKR@x)w>RIxB%g{1KPVe;p|qSgT_aE4YMCzs88Ux$VRixd$o48aMByR|ip
zEaug#KoI06A&DY>J3B7#va{!^M(*Flv#5d@!*n))=DyflhiT6O=_oAC=P*ytvV0ih
zR0V!l8s8s&k^%}5{ZDQ;z!t;<T{d1I>0(qcTw>Z#kdWphg{GyT0|sUrML`h)EoroZ
zf`ZUscoASB&{^OwP%bpAB5VmE=>Xj{ePDSLUK_eCE(7Wsh5d>_QKMsHbMTX`071$i
zPb0dDpMVeV=+9PxrlLsTVCR5ITmpk$fL(iQ>uei^Nh@S+Gzx_vn69=WraqcntgCPe
zF^!PSN-}P4f*{0(dTcLZA<+1Nh87a&Ah-&OD#*_I4PLhZB=DLx`QawOB9=6t4&7zb
zbgdP0-!uicU8e8ZDYS6CgwD+Ja#I_daOe~nJer1bfC)N4=Z{u@{R)B6j3ht(^F!%X
zeEe|oFJPOYE5y(?e9BNP$Epp0B%Y$8BAjjv*oClzi)LVFCp?Eo90=;Hy*-z$ogHRi
z&=v#n=<O|MT&bbHe%My&dIe5vqr8-n3K6uoNab+gCKsvs@fD-#&!eSFMiv0XL8PD*
z_vDBE$RNWiOsxf$ItV;M09fFbcEDxg;NX}JzP|$~izj-UfB~YPlpKc9Mwr>yTHwrK
zblH5ae4Ub>{_>oik{rm?Z^fUHLjXhkqyup0*2XHXadF`y5WQOZ`pTLgpaYsUZR*M;
zK$$MsUbq3p9WZ@W^g_YcY<wV0Wkc<FZ?&=#-ctC<5BxwBMhb?N#ACqm+*x{Xx|ug*
zeUVle1#M{`04O;^69O>u=a4_!+jk5M!dO(|2Mska?CIQ`KNJPY(M@%Ab(ozt>D(i}
z_-lw3Pp4oAA_+8)8Nj@k2;?L|WP^T*bI^DOS|%1S+t%VUK(WIU{sG$px+a0opiKfx
z=lm`791vxg8G|Li1C=q1<?-Yt#OG+e23Mo20DAJ8pbKmmOg6T3AiU@RlLpR!f9eJh
zC7(m}4D3~@%?MZBpKlzC11%U?|G0K`*0k_`{kT`)GW3cfj!&LEhc-S;qw6*rV-$gg
zV5i*`U5xGy{dJi78X8#rfTf&t9Wh>Xv!U13y&`X5y{+f;<OwJZG<sn4blRBwX!!l+
z&6{&8E7nd)*{4Gko*-(rLSS)(UbW<3Cy*XsU!p*qCIYPjst8QSR~45gmM(*drludr
zFM^|N5Y=FkFhs%=Av_x_FHieyW~I+?NU(Ig_aPa+fF;fVe-QM!NkNptLSWhCeS8{j
zeX(ymaf6#;T6JMBEb@GU(#8q;%4j9LM!kX#fFzWA@`MkZ99vN6WE2)&1i<=XwfGaY
zc)e|*8d6$TCJjBf2L~9J#iL!dbGjKu_wGeNy^HClf(jUFcm*h~dP__s%^y9QgYbmp
zw|iqE8obg!_}+Th0|<NQdN$qPoP!pe@B>We5?su1^ClTQjZ(n+5~d9oHu9U2I?w=^
z1O>@4MrKH5UF#;`U4Y{a4OGCvQec!9FbXgLbXK2n5EJkD{yokc5Btbw|Mq|~aMze^
z4vw2EphUfZ(wd?rm?!{+4c)BnP$WNi{5WL7{u2=<Xu*P?2WJFG2~?PtFo=Sie;d!H
zChx=c*aY6?A(R0a8XuB13LF}DvJ@~0L_&fd%3e80?U*SP`}2iqmp*979Eu@KcQaT4
zNMNC07hwn-So{{yJCO8legw0tj(<ak7^aB5K+frh!iIF;{!S@wGwtjc4|J%-^(W9+
z1<w%paM7>rbf|C}MuLxz&vRu?Z*{1E0w@{`Xi!b!I}f%8Mc}APq1mv|sD^lN&q;Z#
z4iIo8=Jx{Z^{(zxin;SZp=3>$<S<n`<h9Tc5`qWaiCew0B+cF3#ls?Q8<SyB$PABl
zm(=}HPSN%l_S)|;uEg%^>%)=>)rLHryLN>E^rT>LNvDuF!D)of>Vwp;u<R}?g9I}8
zmQ{wd;+~b$;dGEt0B;0C8FbJ3m{A1Hz{ZA$8-OM5x%1NX_hVT*Y@V5UXAa-8Q)nl`
zbQ6NX3W&Bhm4#)eQ?@Cw%$Vyv>*)bxl{jC}QW1r!?~%NGTR-sU+<KKLj&=-Afj-pT
z?x)Vq1>1FyAsIwPX<$i-qVjZ2uo`1fpS`|u--Rbx#+RJA0*+~BDhZAk7;b!1q@AtR
z{QdiC&i(I(Y!C_*p}H&sn;5vhlO5_GM0{;gOkT%e$x<lyz%$U957qO3G%NiZU=+(4
zdvOeyP&uJ#T;ixb?K3CX=gxx&$OSE4V&H5ooC1~+>;L@q2=F(<_A|WfSA1K+-X#|B
QD;y9dd3CvB8Pn(g2j7BWS^xk5

diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map
deleted file mode 100644
index 2d6d7a7..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::BoostAODE" name="bayesnet::BoostAODE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="12,300,166,326"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="31,226,147,252"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,267,92,300,86,300,86,267"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="19,153,159,178"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge4_Node000004_Node000005" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5
deleted file mode 100644
index 48ae7fb..0000000
--- a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-1349874a295fe4607bce4f148d38cc42
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_boost_a_o_d_e__inherit__graph.png
deleted file mode 100644
index 39522192926d7977faed4ddf582b693492e4af22..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12761
zcmch8by!s4y6-{>krb7Z5=T@7NkLjbfl&k%>6C7yI|K!hl$KNx5NVL^Zt3onP6^5T
z&aQLLbN0FW{BiGogoj~d)_m)W_x;uQK9!LqI!}EbK@cLe)Pv{nGZ#Uy9-qU7M^;+>
zMDPPw`?2H$<P`JoQ+Y}#f-oTH2cj<=VpqqUmE`p*@HW<mi(a#OT2(rDbykTsmpyRg
zy}`=g?QjkMw$PWx?bsz<VI$=iGy7kS+81*8r(PsC`!;dMP<ejD?`?8HZ9I=iW@JER
zi<0s%9OhR1BGDl_=WK0cQE+FXV|!zvWX1k?+}>5W%p?cvJ}I^+=Ic%W*JZ`o*;ztH
zzG|xab7G28AvO*NzZa7-26l?wZiHM!p%04oTFBn4UH!xE@w<O{7^k@YhfxoWdJu!n
z$m_Fs{AyW?W1QI491ntV<Vi)zUx;EWKgGGAD|#98ME1dcM%vE=k)W`!OQyp=n(1~%
zFX<{baCHdw=*MMcu`$WUkKPVqO-oDLOc6Q8|MTaMp{Z$I(}!z0PCLegwEUNlS92|w
z%Z|2M2eV(Ewc(E&3(}OAf4j3hFq1!^;T02e<^B8j8{^LFSNZv=z3@mHK3tRB_}wEr
za$Hn!v~=6b(UH$?byzP*C6<|)`8*#VpZc(3gr4bG$>qMjzJ-A-dK-RPnRr3p#h#Rz
zIQwx+!?+ZgxEgrmEAB&l_0An)>t8?XNkoo3zJ0qHE9gjuXt7gf+b%0`^YRLO^`4*C
zpZ)bqJVFn-|NJ@G*4Eam!_~sX@88d-$R^k|S(aWG5D*Z)al=PFJSL{Ks_K5oZ1`<O
zB~{gtDK~j}`7piW*42V<si~jqwT%kLwR1MQlO8K*8t}v@%gOc3@pyT9Mt%G^loTz^
zbP;Rgz%p9E{!U{M{e-!@iR*eg32h&rUdyG1`g+?Uw+4SIRC9Ot^D~A6r}4dA$^j^<
z3m2+?{NRo`R1ye64fXccB_}h*WLbO&4Xs^SS#j{e9vT>kd>nZvskBt!I(j;m&ss@S
zQ#PcntxfmA18i4U*Twbq4j63+>Q_fX$Jei@B-+sCx=)`N)`s$YP#+T#I$%bYZ1{;O
z**(}Q_P<z>xt$(PST_Y<{k^rNEhTlX@?hz9$ZWCouZ6|MX0wrku91-#>HzOhrYF;I
zS<?c?Mq2x)A*hn#V#~%rT2%9s7@kd7NBJd_a#Pl(JcEw;S`v|T7S-j_4B^4=+lT9w
zHxTkmmwpJ4T)%$3t*MD&NVrKTqjtEUrbcXceIj9JXD60Z@4UL28s-go#~r*%?N+BP
z+z&@&4xcM1NbvIVR-B$3{@&c2qR@2d%9N$GGz`XKzjezOmZGh_UC+?)W@u<AIz*?z
z|D}pb^z*WmlpEXI+aKfOW$5YYsRJZJbQKiH%gf3JVKxsAoN)2*wv!??w8h2G`uX`$
zk&`#T9*-BW4;&vKPtV9m>N1>d2)M%cvIaY3z?0Bpb90lMlCZ6{RYyyULF8ydJjN_!
zHLL04$B!<@I|Bl0=J;0H+KdC4>aBN8`ZqrN&}qZp$;Jz&mNlqMnC(<6#5wP-e3nRj
z*3cHc>@^z7U&8s5l_KrkyK`>4Lk6g3`w7=b__j}RHA=OduJeVJJnB=_EfvaFDz#&E
zadqXeoPHp9v{BpC*7k;_b-(iTP^7N0Q9Ns4CMChm6Hby$f^fi4o<XfC&ou#oD@e9M
z2VGkXFUi{4+F+%-h`+=&g-kX4kd2+4hhk!9cGt!TLJSQJs}fF+3|`2~zuZ~sdvt}B
z$7~pzgoMQZ3NP_RCh00TR%Qi5AC&X-U-o^MSBS*&KuL*(pnk7U(4#ijO4rYLv{#HQ
zd1dg&#KcUktr4S*_mUr`IjKl0HWYKIQ*9Gn;nC_(SAJ!0zpgMckoP!PTuh9VoIIID
zQc@B|E}qz>b$W7qj)>@?v@~IX>ChPp3JSynw)A{QLXeR2Zj~vI&P0W)(htK6$fxXV
zQd}>rM2P?~U0oF8wQD&h19zlC-n^{!e);QXoRq9=W7X@k7ieh%{QdoTcCfLrZ=Mb;
z+OSgx@Qkda>a|8p^(kuBdlOyBw*DnEJ3l|2Q8+H9to-qBcW{l7v2$?nokhi;WOY`N
z<KGwivouLU%=-6!1ZMhM8<cR)!#gi2#PlC6HCiA~m6h>Bo3S$#2#|YjNB6u5sXRSB
z&!BGHxW>jt($&?4cx-IEnzQvIXBBgC5u9(2!Hbhg5iB`>?wm(Z5XqxQkHTaW6%@XF
z{)`oQN4@4NIyC#$l-R<K)7P(Gwd&trE`psNZg)4@-PNriR!P-t_;Krvr!QY#g(8@~
zJElNy+DAo7ipa{!>gwuhZOt~D1(xfzlB<<F<&WJ+&al=>3mhIEmT4@$Ju|hyVevBZ
zcJ7dALj<cTg4~datr{<P&VjePL_twIGIHg@g$sy>>*4O_?Chub1HGwou#kcBX$n_4
zIG*88wteJ!CMW0B+xsH;0UC|3t)ufHBEtLV$fd5nerjv3bz^T&($qA4i?WGa)$ELi
zLfS)h^|;(qOd0Qzq*qqQMangTa&tMu!o#m#yLOg<oaO%0r=(0Wv4(l;1qWJbGO*jA
zvEW-&9`j)KBur{z*E?DPyUFss@#T#nGuh>Z#e4P!ZM5HS@H#_L*E2O`IeYeOYL{VD
zRFqU=mlTw>RJoMyiHU^IpFc}WNln72sAy=~pqz%xF7>71dl>wTHR>@pHf9zQ6ujrK
zp=F$}az~>qs=d9PJElGMo+YEYx;mfv=sj;AAM3;2RWoz3OpWsIKSG0ps|*rc`}Jc`
z#a45VpjfVrm&0SbRh2+W4l$#Y9jn%Mjb#!M5fR~ys<VR5yXm<>`4zB*RaeCgY+G{M
zY?u3=rSx?5^@W?8n-iWp_cVSt*vw-0ujeB#Mo85)XZKw;7qPQ(mx__mt=r7Z!x@#Z
zGBKX5EiGY^Mk57gGrt#m1WdE$nrrL*C`QsF^*)N6>|YC_73g0z=;<FurN%lq=l1XY
z#7yPZaNfYh8!{V5f40@Bz2bW}O&W>?To;K=M9u9}LgV6S+0fmMfhP(kW@fBzN1Kv@
zC;KxFGXcEp&by{Qbh1x<&f*b!%+~IWJ6pui+gc6Bc*92B=#`V5^1TsHdX?PmZmD4Y
zg73nD;q2TT-|~iM%ez9$^WPafS-yFm%l&j-;a3xM-=%hb>?uVf3f%w+>kqSZ<r?e$
zPA`7FpBoM`{B3V!Y-Pu4{JG2U4u7e)s?2jH#p6Q?m*j1sx0>Q@A87rn5<}iJ#;W@a
z?;HvFi={;9TTy!CA)j&>raMR;iSQMp`p6V@@xHuyfG{CUkLgkOO6l%i6t!bOHzYFr
zKz@*I7UeBJ<GP@Whi;ixk~(K`*O5Rqq?tp81>N@`nDzk^**VJa%Ws~EbCkcj1b^i)
zci9+)?}w_ASH4w!nT*bT?(%yMdxYZ~@l$HATMTCe24^*0D46WCHTJ{d_4jefniP88
zyK|t)=oWW8&9SEWa^qM}BUJq8<bx;m^dd`2`1jq(*laJ^eD<lkJoHm3K-r^@)Qe0I
z?{{OH2FqdugQuxMuKxo=t=s~2aV1?U-*V-ijQi58D+^sLPKLhB_}PCB6V9pKMQ<Fw
ziqJiscwyxSH!NTk&QY32de#HGsI-Mt#L`4k=5R{xF5@f0D%XJwnUlE*5w${%vJ{0P
zN0xT&gKm~&`-+qelXt0aKb>c6@??I;K=2={^zV7X?)c#Z9x+Xk&n(xj>9)Ro3#Z{Z
z<Uw&*#J$ppE50bSdn~jX-d*F4%u0IYh`H(zRQulEUZFuAZ@!V?$(;L%JzswCm3JCh
zJ}j*XND+tEC?hj-%Z2vy%$Ac?Sfz!x=KrVrn(Spr5OJqVQ_Ql{$Cr^)R}TQZaDhZ{
z14)*Ndw+V6bt-0QnUj0m5`Np^U@@huw|6#pMp0gVYB422!g@RZ*XYBC52a*e8g3-G
zcwUnX)M|}jCFaXaymz;0Zf<Tc-z1Xjakd|zCqUgcj;C@dGE+YV*6Tit`;byl_yAy<
z_MvyX|Ki0Zz@_*IJ0;;@iESDgx3h`4xrCdWu&y#Lg1UbFD)foM2{(c7-@m^)_-*7v
zvzHtUCo}=@U1kfQ82}IHEf^vok=0j~-@h}r<c`kSsrL5vc53JRP_@WWa#-xXo|eTG
z)1IE1x@Z+6Dk=()VZ};aE?N4enwnavU9$AY8Y(XRVASKskMTdL)Al#iC?xPNv!Nv(
zJYZ*KZJ!tJZwN)jL`MT4(%s%+wX(8`f+4K0l&SQEG8`TpSS@xZ+1T5spwO{g2E@zD
z%jgh*JO1z9eFEfve0+?liXpR5Z9ayDef^=s`H}L{r8?-^!6?98RF^M5jFV}^I*Yqe
zPoeoj=49Rd)R~xy^Nogv1|dHFl%l5V!w^CHH5wryp<=TU9w%pKxx}tl-CxmVR&(#$
zdDe?&h#!SK0NA%SnB#>iHtJylcv=3)H6ya}^u+m$7Tj>@=FMBTUP?&dHt&iS@Q@cA
z=$fcPmpt5C?*M=&^O5uIojZ4a|NcFD#iFcQz0_{Au<|&g+dID^GCaJiy**&P@>JN>
z#bqA`XtP+B#@U2Kg@x6@WY5pfb8>TsH8(e-nmKeDV78u6aYMVE|MiPYNGMKNSeTnS
z0M(qH&f?_gn3J073+R=Qn0Wp%TX~(gH!e8^1s4m8|E*iMFgI9UUaqXF`Z%$xDc}mP
zRm~fGR2B{uGBYz{#7-F%8QBQL!fk)bhi3#eqWOV~i|fz9a+ZBj8NfGVZt5gElT4D_
z{G5e!*|?p;xi8SIt2=}b{ZW4aer>@w6FSD#;_ryDEI+FWQBqR+madwoPXuH`)~~*%
zCq-5+LQmnv3wEF~Zf<VUPoC(>$z22_9JaxtTHyaUg5@e2)7mO3Dqt^tuGacgtu;BE
zZ^CEN&k`@>9FdusIa=n(<$m(V0Gb*ctOC9qI3tf(t>@dO2-wQB@}A^6%lQFD*j*io
zWD0GbcgyfHHDNK`Nxgl%%F<MDF#dc7&PPe_9(mxo+#dSMw{PAsu&_ug2L=Xu!x5KA
ztUftDyg*I;J}QdRbSM`GmJLDd?d{tVMCbuFzXtSD;d+>D*u{w4hXp3YJu4AF{kEw|
z>VbrWHel{x6n?EYQSHw-fe-QVfxv1Rflg9UQJF2_L)SgY>RHs{rUoRd4%3GrsJs(D
z+-C-4MULM96ZO)K*(t!Bjgsz(pEgPB7@W7pJ{TuHe%wzR9v;sAQM%JOAMu!J4AKF9
zbo1uT`&L$*z!phqX^D_?BqWL&g)lMz<2vJIj-87(Q9NeU9wwqdRYcKfU(P|e1_o&-
zJ&t5I>PE4s6_GlX)4}FY%F)JIt2}i}QV*EdOc-H(o!h5x|4>4rrl;p33_eQG(JIDF
zwZOExFHLd8)pL-VK-Kj-)Po<DaXAJPw9Si(x_LwCf_Z|L)7XHW{N55!d?_lT1pe~w
z-8%$X87U-r`}XalBB*=kVKUQI^3VJF`aVJc5BWw%Q-4iP_C!I4C%tmT52z+E;cGyc
zBiS^)D=S3+=!G}R77Q9+M1H8SE-fvE9S70yc?Jm|e5=*_zhSo89$AsGwf(<LsMGMo
z+Hdu6Cr(K^ew&**IyzL8lu`i_wRLq5fR6z$mWksJKRG!eBqGuSP6BWJb8=EEA|fIL
zrI@Ah1QE2JmyWTMlapJVnyRk$!jntuv)Y`lH#Ij;9x|P;^S!vZwA5lb)4(Ap7&}sE
zVZmi!`cXVY7cQ0Hx~mKXZ5AqMYR_Vk^PYLgEM`Y**PTm>TaMIIo-eUo{?@a&u(b3D
zN(?TL1zGi`0&87Woo8xlrunk!ixvj(n`<EkpnWeLGRgSyBkc0!%d7pGMXx@$--k85
z71Ui|Hqrnb$$n6yHPpwCf~`QAt(DUqpcS2fUHV8zaz;M-Ilh`b_uadjFj_(P6PHNi
z98975ZE`RYol#*Q`Q2-j_U_%gf-d{)J|y%%J48-Lry4J=JPwy-b^7x4E4HlA&ZT&V
zY5cZ$p^>4vbG%53$bUevQo<=*D>;o1I8#o4@9LAme7V=$EM7AVY7a0x4zY=vt;O`;
zJug8AN?oeTMLD~lL;0gpC^Y}d3iTUvsg~J<5Y9h03<f^i*&Sc^7E>kYUYwqLYlVDE
z6YspS8B#xVH#NLy$eMvoR{HEDUe$W!DFHE~=gNH)85Sj0)TioeKQkrU>w0TM$-nmW
zwO#}qgpZJEbvAE|kl*H;Z~S6mIsJZxAwJ$AnEJPgGSg(&f+t?Aa%i+KgTOn~)n{kg
zG8B|i3|&Szsj*Qi_o^z_Q&MJeg^<E!9;&RC4cUP3C4Q&4PHVUb5^}}u2G+3Mm3PAY
z_?9v^(K`UiUMoHDpf&rTp8aiLxfll!PaJFWr%H*M>&P7iiGeTSq+35(QgiKZ%kf%1
zEZ_=wgA=T^OeV_3p0&qZa`zp>NX(l?lu8f>7R8yM9es4+8IJty#JST+Qa_xB3odGl
z)1IBHd+6yPsbSwD#*q)E)uv~55JFaZZ2z)dv!(v!B|U;V+4l3iK}pKen$h((n0cIj
z|2I7R_ci$kK>qhUVR!g&0+g~8tOtW>Liz0X@sI@{rW=Y@;{05$2fwA9xqBPw0uT?0
z#IA#bgPMtn35_S`nUe>WpQ)>loyZpL1dn+VB6M_g=gytWHVE~6beD(cOG(MF`Km7;
zfc*b<4|cA`UGg9@Nj`dX9x&akf2~0K!OrqCdHKGn0!0l+oU^!u3v=&>b8R&;)rvhM
zHQlJL@R)kYq*#mD7VyozSJTi4gx<_I(`g6i>uqdo?49+~YCQVM5sS));^N|^Bq7A<
zKTJ&HD7>mYGE@t{6c-mqrY%vYsC`fc-SI3M)QHNlf~6(n{r&y>Atif6O~b<~4vvnZ
ziAINx%&nZvw{Ks#bg6f0nT4ESX?a<ojMJ`ney%n0B{y}c{D@AFkT?8dUy_io!oTd5
zUvbuB$ke-8_j%?wAc*WS?Hd~#hJ{%f+ueOLJ4`9GV<4~Gx`qGx_3Mq@-G<R(>zC}5
z2%@a4{LbJ10Z4CW&Ys<D<LW>Vauy{IP#yA(uHCywnc#MC3;Fcv69Rzp0jO)B=X{8b
zO;=m&&rtQr&Sr;KYE4$XZfbAGd9~V_8W~A3?y~)4|M0MOV1Od@hO7jz>UJK<Ai99}
z@6QYV?iAmj^ddo!7+wpI4!Ob(GBwwv4f2(iL5k@}5FvqTZ#rH^Rb5>Ta!<W=hma42
zh65HfhJ}erk$9J_<~wnb{iXpsPgW<Zy?(K&6;)-zTVF?*u3yjj{{217Fs39!mqS~%
zMR7<!ew@hC%5wX5;{Q8I4Wlfc`=_FsF6aY*g2LVO^!2xP1~dyxXz1vE78Tt)nIdsF
z+=d1}Zp2z}(5XCug^?JNG_pYb5y1BV$x;8|L!8r-y~>Noj#GL2_Hz}LM+gQT+o+XH
z*SsYVbl8}5{B^zmeLQwCh#ks>`t8(#^dj-(es4kWO=f9L|MpEwMuzzK=qM^Wx&;(h
zKzFyMlnYF$B3YEhLPpD-c|lnPbywW0`o33nRldo9706q_{8>OkD0bY|KRMd&2-Eur
z-OKD^{Fg6`NfCV3^BZp|G_r^EB}Lby9USi6kdCUl{y5^tABXLBUV)5yjG8mlt>3Do
zS>f^#!C=vwjes|f00o-GNA`=ZnW~l4jEmY0)9|5C*e_qcY_YPj;TAsG*D>U#UYV$*
zw<zBs=cXoF1HfEVRD>X-V`Ci9X;y~v@VNBbssK1`Y&O!LMa~ltz+PoH?)}EoNX2J`
z0x8TpPQZRT$o=S=LY77VP?~hrLSg`Q&vs3Y=`O^{;3ak$=C#K=9c?xW#9gz0;g=z7
zlk_u!&o)7LK<3ZJRBgCf2&!5;=YC?Bk`P-4pSGGCYYI+rZY~*9D89;SKJR^65jPrf
zZ$iN8SRtXIA0i`tKs`Y2J2(_=l|1w#zbY(Dw>{tPC6iJMo&=&M@CTqZVESj~#J6wX
z?&|FH0Ezo0Z~~>GS66>K2|a)QJX^c|{HXis@uSiV3x)kwwGM@tz}{!DAwU38ju^>z
z6e@@wQ4xUAn5darF13&UkFwXm_;8uUgzzPDa%L|f+ocyprKLKca!N@{zmVztU+P{~
zo@P0HOo(B=%A5ot68Kky)U?F;YV{3}(26lhgP?rVozHpvrM1J3i$9A-drJiVU0{gK
z?4!m11`O5K*5ZGv4N8;@8czSqZgg~wv9-0ut^)7mR#u;JzM#!QaQk+*Q{d=Ok<D9X
z^IetOtgL##0DNf8sJKHgg@L6Ng)s>%!Fi%B7_cgI2bjjQ3@|H5<fKWbG4R%^O?W;J
zIyX7ln<+F^b#>>3forzBfxWT-+b)0nlIMQ|L7yARXj;cbD^ka~Up#;AnG)}GURH1u
zTfZZIb;at<m3KXr565UhXl-h3wYH<GAzDZ-VI=Up`}gjoHNa;D!akJ#)uFGSp6{OA
z`84Lq(wd6~(K%~iBn>UkzCBD)F8uu01iB38W30MI=flU9lb&B$e%jm78r#bWxs~2R
zOC8ObF*?Vp`F<Z-jifxkdR@P>Ro#nO%A@`=7QJ+&ah!Unif;-z@z)+LI)v!llLY;?
z#ost$L4a*YUpFEM+5O39HzE^_wT-73Zs$^Jg;?T;Smgw>k`o?Hil&aHzD*4)Vib7i
zD;13T;Wp2-*Tpc7!9nM8y`<`NIH$Ue!wK$IO5epUy(mY3x4-AU#nbF>z2M;DQ)ypm
zlUZo;T)^_79TI?pAFQ>e73xdcLm){iYKM>oc`huh>lj|wLT6Ff5Ri%%<b7qMBpPua
zGaj6-v<wSa6(a%Y^N|o$wHxzN`i^UGr|Qlq^Ml}3-!K$@5EiY>Z52aN7TjCrKUSr%
zhXNyxY4?zGSXv)YQ7C*SeD=p4#d=g8IQKW$4$s>$jvwnwl2f@M1!wQ4O^EG)#=P0V
zb4cb^t`yC1#Q!)is)E~Z@n@#^YF)3`e;AAZ&1wAq`$WpI$`JTw%E*Dh@_zaCTGNd)
z9`L*BRM4baF$kV{v6fmXILe7#rq}pJl^fStNsKFx=iIwlQpmdr04x(s+8NM{7>P!p
zn)MbsKZ9dotAOuG3xMVG*ROR++d{M;U;Y#S6mwTo$$tc#fi*WIKZ%J|m&p2{N7W&?
zEgfSEd>c3(Cp<kL`^8*~xBapsaM_=CrWF0&zZa8{k%`<5*P~J`G=FGodlw)TcnCg#
z1+?LiIsA&VH;>}CxCAdM2FaaP>Wlm7?!*{Sb#E{jP^r%D^Th=P<RG?m8V<W@wC4J^
zv^>Jb!Li-v_pA2=b%c<T{nKMJjS3ekiNqY$d{*_6AMKYNfWSJO9`EHqk=3I`hlPbP
zFfbteahdJQW@dT)mGQlcrtpqK{~7~@vo(X(UzMxZI{f1T4UIo=?Mukhr%ye=8DNAy
z2KNpc8?O7Gk<#V<3~?nTN=8OT_E(el!I?ROfa6TU#>Q6mXFdiD2E~fefxf;WQ|sRg
zUEjWas}d&>dP5?-k09C5aRHx*r>-B&1x86TjoOWvwQNnC?DAsc;xaNZ;R5umazEX3
zuhq`6DQQ<Z<^L|1J@pUBbEXP>Q3ZK<4qo0!jCUX-!-Ni`;_@~!GJ+nir>6(fkuFGf
zJv}{(Gc#aTNrkkvw0r?@2BI0*tsOvCD}HxBHr2~Ba7T~}o|r6vp`n(gB}Z*dO;kuo
z4OCE!Z<?Q<4|>sPk>xdL{`dc)dSS5(3&-Pny>@hTBqSu91<BAb?@0*Z`SaTP`pMlX
zZEeyOCkM;4cVeWO&S?EpV-X#~!pfQ?lQN@uvPBW1tE@}~Z(0Q2cFc(BPF5m+=|3RP
zjmGbLJE$hm0$R4B@0x&N<)Fes9xv<~oy(H<<%=hfh2PuTI$)5%eJ#w*CB=pTaJ6g>
zxsGZcE4A+drx_?JxS#L^x+1GVdvraZt#0r&0D#T|XO&itaNJpv4>>(=_3YV)=dEBz
z@7EBp4VvbaVj1CYT?-Pd`IX=v-yyU|L+`x80d#vKH6@-Ajk!lanr7Q27$`OT!-%JF
zXi3w4*>q}!VS-!EFF2U=&D*!PTA|Q)F7I?2a$}rKF>&z=7cY9Tsuon$&kZ{({wKVn
zpGO4-PVJY6eh31$3*sx~UE@pO6<(mC@&%G18iFFc!b2!vzxKe%i657k<{iKh@X&sw
z-e6$3|EE$W#jDHk$B@1(T%0hg;((dQbkGAZ5+g4!1qNodw6r{Z@!}0QPdtY{-rmz-
z`12InCb{#*#LVkw{SEhIkRz{-_ALpiIN`kEz%G~2(4hO0n23c;O-;2dle4P4+241-
zShM_bGR2nv$rJn}|1Uj3)rq>zNXPsPp4Ftei{HQ!1wn6rDJ^T*)Pjma6;^)z;7UzQ
z{S)hlJTdKqxq1Z1Bq$GqrS@#(chufZPis3kJA>7E2Fd;#^qGq0w`GPY%rWj`Mlmrl
zW5L=n85<i1M@N4j9cpZ7U}R+_f?UTtKfhYwNmJ|VL4$)zO}V2+0R_X@NQOe%=%q7N
z|Jv_+hez*1I^nuUd$JW-i4^Vrm;!JA3Jl87TGimVv_huZd+p~3A7a`TxI8W{?(@Vh
zb`FjY5{Vy}LVZDGPXbX2*x*Mn<zN_G_wGd{B_*MnK^nV=bj0%YB)5b9=;Yw=YGbmx
z*EnCT%z*<;X(OH(KJd*;N=mHY_z{wj`~ry*ePR+g3i9wj^Y>Ig=KaImqbc6;Nl2il
zcbLQi8C1cs9emuO6j^%k342;w{Z2ROPentUb**DEPHbNoDBg1pT;U!gvhoAx5!6<j
zd%<vOTCCt;>M1j!%|{9XK#5(?E|0iDLcykCnx_$=2L@b_pxsJTw~V5)Nhr$1*f{Ld
z(Bmghh=S;ZTEH5(W3im>K9(VeJ@guu#9@EqB{98lY=Zkqv3QVenzdc9MKqt4ER^X<
zI8HSeWd&bD06?IWruwycbPBl;#tbhj6Eujt`umK$=7+bcJ{X%0gOTpp2Br@zuO6tg
zRXb8&xf18(l7cg&owH(LXh@m9%b=N~b{KEr9+}K!FfeV1V&gBxtriX8EMA(ZoaBmI
zzjZ{d9k`-}O&5+5oL}MZ&HS~_c8NcqJG2&w#Q{8W!QJiYL38u<)Chn#q}Ner*s<7^
z4;ZS4cD{W)mwOh?Nr&?p=TrE*#yIsLj1VOCoV-y?%pt8=budIa&{7-yoyl{Bf%C)t
zNlg(sS<1VY0N7j*wewKa_$(2UEp<jMJe*AJ>eMFuPHBxt>a~O<aYUVA%=UV6Qg8p#
z>aU>34xy4_=<3Q^`d4n<m|A7%67G%6Cc6gXwlnG8lwp&6pG5R`wb6yx7jy+e^-yAG
zL-SXuYZzOlR@$S@akPzJN(Sk7i9ddU_9)Fb{<~fGb*=DZhY@6^Yl>8P0t6h0lt*bA
z;bu>^-Pa|0;Z-y2K&+zmlD_83qeGwNe!so7|0)}48(;majrw;C`|p#D#0uTI_P{nj
zm9olCeE;m4L>tW+r2AuKB$#zEVAfF-T1=csEAFlLuS@nDa+4I7l#I`>jW4d}lB>L!
zS3evWIlS|W+-keXX@}WgLgy;dh)so*m6u;2BkLZE#21S^23icAd!gT?j^;n5%l-@I
zquI6J1&T*Z%m2o4d!BEJl$R!Ce>PNhIDLC#qYB8TC4{pCl9FNfQ-MJ7&eylP^RxJf
z8En}q(1xEuT?WQZNOO<We$*0A!k_Z<%Jz^!Lbc)1z=Q`qyB1PYTYG_yZag`|-=C0@
z(3^O9ztH`V_xI|^fK0h@$4kXoaBpe&tm>Y%??q#DE0D<-yDLzebCH@gTI^Nr?L;aW
z<WO`lmieoN&Z{ZCf8f6uA!~Db^h;#KEG<2~4iZC~tA!Jcf`T*<=HZ3V&B-tK6Fm3h
zWzFzo%&l#0Ss8K<Ok3@)C?74#x{Il(P)ji%(h9p!0-rL3n84nYVfj|1Y?em(`4I3D
zRtxTObAPg!s0jYLcC5V8&>*p3Q(~8O%@-gXXj}m2lp`!5yF;8sOq)N{*@@&0jb;op
zJ&Ep}KYs+i<m7TzWkc94x#3>NKU;bjRV=Nq0AwOFS`0>b!gR6Xcvp24#(MA7BoYlN
zp85G?(}^4%JQo+24Ve8evI!>7q97yTwjDDu+2MY|1>KaxbdVjXDzcnmhji3jK8$=2
zunk5}05Sg7@_O+vI_Y@9V$~Tv5@Mp<dhO~=_0m_r7oJ76>-*CQQG?<18k1Lw<9`eE
zkP<>Y)B(6092`p7T3EpFI}0r|1rHVykxU$m_UOA(Qc_h>96C>d1wt(3J`lLHK5c*s
z(2%@P=>28Q)Aw1GC)5D}0T4541i;A-qk||-x@IL^<>A=+#-CpaiK(gh(0m=Xnr}e5
z#XP?qY@fu63OY>cgzVx)4!Dh@<8}8&2$E!jsfidCnwrrZ9UX<utydfp16+86LSuX*
zn8<9c>N6m`#EhixtdqF!i<k0aVRXIYgPmFoE*%|JyL9Q&WW4hl76JjAMCj0%cpcd^
z`AkDVEr_4K@E6yc1_+3V>H&yaLbu`(wIlbzEru*m2x<yak>U_~1gld>S5FU<U<50J
zYI=H_-EKumt=I~Ot@4OdTU(nQ@+x59On;E1d+p~(0NF1h$jv-Ul=xg+Oa&n(CP-%b
zLvE{Di+wVHcN~*Cf`!BE<!OjPy-iEIee$QnU3-1JT&djYu7`={Wf0MPz@Yq6Rz`z)
zy-e)A*IkK{s%Bh#d{p2#vXHZB_=7}*R6)vWL@g&v6W0T71p;X#!Fp8SjNfEtt^x0d
z2>F(g@es7&2sX_?Kv%u}{n{Y$0E};hRZKU(a@RPl5BlYeSF4YY$LuEpgk2A`0NCHN
zntew$3rQgeyx@7^5-n|vzV-G7KWlLQPr$o(RWO#3^g}Q_pK5AO=&OT2-VjJ@l9!>`
zIwi|W2QAvc!GQse9cG$g8Sj&!(P&BmI~MQ?K?Uf7wjCB3c@1nqaz7kU`*2^ae&^J0
zqXgxK1~e)Fj-ZtxXt;>h(f;N=yA?{Q8bj{sw5$rxYON|zgFw_Zo3Q4zUsEe8E`EvO
zfFvZ6j*i9cJOX4OTf@jYmN*f;@tbHe$fQbP5F-*C8Hoop=7FT-*&@4{UMoS>k&^Dp
z{yUl#{#*t>8GxW5>;T3Aap3|*Ks=y+!2p!vx<5)M^K4H9zIpTJ=Jq@}91y4SiuT5x
zYCCKnjSqN)l%4aBmp+MlZ9u7kI3DH(AZy`)LQ`@Z26Hk%nF7h>A!u$;1z*F%mqWRF
zhzI!E5PQ`bE3q{Tyhujo>EVH}Xp|`xKgYqt!#IET<Blo0n#+z!3TbbLObY-7KY>Hs
zPJ_|&FuP8_J^C%E>;TB~hbBOl25|cq@SBl8YFN2DY=UIET79U4b>aZq4y5bE%uHes
zd&UH55b(G0(t6&L178N}Y?dbzZjGt7N-X4mQ7j>ibq+F`7#y?RA<_unSuRG-Q*SB4
z2I}kTv;fk#gx|w}*2%?1e2n=xm@Qfy(mODa2%B9oQ>{AtWi4hR;h7m&F)?5=5`i?S
zKSmCgdaUwu`jX2XoSe=S?MmfpR=VATv{TF~)bWkY&79(Pg;W0X(^IuR7a+V*x^^&7
zDtWpY<UR=z<|qKdH8nM#`iwW*!7why$H{b^mRD5NsrJNCIMn5dv4oN)9mA7RT02Eb
z9H-Kh>krdJR+WFzYGshapI(FxlTjWiWP@lRf<Q=CTwXq$EE8-ET3De3mo0oa$6+4F
z^SqU!Iy%<^>4X4qTZ|MC0Vlk9=T3vFMLC=RTo}6cY}1E0H=~vGC&(*HON<>HeoR0>
z5N<}xdUingg0YFoGgVbTNHbtu<&CYa8q9nc_uhoi-PCMzD3UoQ>9RLwPbuP7)@~NJ
zlVuxc&=HRj6`)8ELVRsb2Lh)zZ{HS&5SpNnkR`zMDLBdxH8kS4>Jp(Kz-1|gUG7N)
z(PjLYfRrQ{ERaN*gy_d01OwnD9N;Y3xmLOve;!yaJ)TV|rEz+=3)aI&E`trwm(M~z
zqG&m@6ytwGWOHT3RB&(9`jxG1y;<RycXQ~C8O+;(dxA?y=~22?LI8fse#hyNY?2TR
zPjGioXArb^fbKr9YwGIiCMyotyd)Au_4S!B$~74NUvhFTV5&WTnM%HX+7kqG^zBv#
zvGRueAya^fenT3faes3L>(dw~VmeWw{>Q!2?U)oY2at8d@InZyW5VL6C+nv*0|Saw
zk<M$yc+>$6OFRhA;Xuhx%!y@Ye)Q*2r#7Sjz#PMn9(EAg!J54S`N?`{avLXy>$LzB
zBoZ%R+CLc?*{}=FA+*sji(Lq$GH`N|fpEc~rmj9hqXWrTptJ6!mTo71evLd4UrALZ
zu~1A`vJ_@#-zZr7NpE6eGBrKjZLS42*XN$aFoP1P5*P;ug$8wqI1oaBQ$$a!t+`rS
zTc_sca4ak=^n}naUc9K%<$T%sNp#GK$1LLs(lV2|Y+>pa0NCM$f&v(R^kD9(5BDpd
zI;o_vv;r>k=rXLsRCS@iWwXk%oQe$y(BrSWteZF`O=F$KwJ91O7$_WbgBE*}jZM<d
zuAq-k1q^S<1AUcNENNAVL1?xz`oL&VDHl^7`Rj#YbzZ%C6{O*uSTr@xZ3E!rYf{on
zkgi&EZi+7WTUUD9Xu%jE+?<iuN@~u@J9=4})Jg2`A3gw?yg;qQ1|Q<FR#F_Eonl}y
zl;pV=dYa}a#bb9?s$RwyBT-_BxcxKpFQ0>ek3yL1pOSR(2z+j&qY;JAY9Q!`G7mDv
Hv^@V0i7Clx

diff --git a/docs/manual/classbayesnet_1_1_classifier-members.html b/docs/manual/classbayesnet_1_1_classifier-members.html
deleted file mode 100644
index 1e44557..0000000
--- a/docs/manual/classbayesnet_1_1_classifier-members.html
+++ /dev/null
@@ -1,159 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_classifier.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::Classifier Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;title=&quot;&quot;) const =0 (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_classifier.html b/docs/manual/classbayesnet_1_1_classifier.html
deleted file mode 100644
index ef57099..0000000
--- a/docs/manual/classbayesnet_1_1_classifier.html
+++ /dev/null
@@ -1,1348 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::Classifier Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_classifier.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="#pro-attribs">Protected Attributes</a> &#124;
-<a href="classbayesnet_1_1_classifier-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::Classifier Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::Classifier:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_classifier__inherit__graph.png" border="0" usemap="#abayesnet_1_1_classifier_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_classifier_inherit__map" id="abayesnet_1_1_classifier_inherit__map">
-<area shape="rect" title=" " alt="" coords="221,252,358,278"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
-<area shape="poly" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
-<area shape="poly" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
-<area shape="poly" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
-<area shape="rect" href="classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
-<area shape="poly" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
-<area shape="poly" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,252,173,278"/>
-<area shape="poly" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
-<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
-<area shape="poly" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
-<area shape="poly" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
-<area shape="poly" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
-<area shape="poly" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
-<area shape="poly" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
-<area shape="poly" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
-<area shape="poly" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
-<area shape="poly" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
-<area shape="poly" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::Classifier:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_classifier__coll__graph.png" border="0" usemap="#abayesnet_1_1_classifier_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_classifier_coll__map" id="abayesnet_1_1_classifier_coll__map">
-<area shape="rect" title=" " alt="" coords="107,94,244,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b479c1ded14080688231a67db7da7b1" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a8b479c1ded14080688231a67db7da7b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:a16a59775f8654aed7aeeba7a1ee401ae inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_a16a59775f8654aed7aeeba7a1ee401ae"><td class="memItemLeft" align="right" valign="top">
-virtual std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>graph</b> (const std::string &amp;title=&quot;&quot;) const =0</td></tr>
-<tr class="separator:a16a59775f8654aed7aeeba7a1ee401ae inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afb4704c88bb960e3ee1d2fffdff0591b" id="r_afb4704c88bb960e3ee1d2fffdff0591b"><td class="memItemLeft" align="right" valign="top"><a id="afb4704c88bb960e3ee1d2fffdff0591b" name="afb4704c88bb960e3ee1d2fffdff0591b"></a>
-virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>buildModel</b> (const torch::Tensor &amp;weights)=0</td></tr>
-<tr class="separator:afb4704c88bb960e3ee1d2fffdff0591b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
-Protected Attributes</h2></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00015">15</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a78801dffd989a4b88b6c9ac369778407" name="a78801dffd989a4b88b6c9ac369778407"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a78801dffd989a4b88b6c9ac369778407">&#9670;&#160;</a></span>Classifier()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Classifier::Classifier </td>
-          <td>(</td>
-          <td class="paramtype"><a class="el" href="classbayesnet_1_1_network.html">Network</a></td>          <td class="paramname"><span class="paramname"><em>model</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00012">12</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a1d9ea38b8c9555fdbb83218046426a01" name="a1d9ea38b8c9555fdbb83218046426a01"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a1d9ea38b8c9555fdbb83218046426a01">&#9670;&#160;</a></span>addNodes()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Classifier::addNodes </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00155">155</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a3247e1fdc38db1b22592a15e74c5c29f" name="a3247e1fdc38db1b22592a15e74c5c29f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3247e1fdc38db1b22592a15e74c5c29f">&#9670;&#160;</a></span>buildDataset()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Classifier::buildDataset </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00030">30</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a11d1d74615d8c844210dd0f9af7bba1c" name="a11d1d74615d8c844210dd0f9af7bba1c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a11d1d74615d8c844210dd0f9af7bba1c">&#9670;&#160;</a></span>checkFitParameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Classifier::checkFitParameters </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00079">79</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6bb02467321b4e51b066daeeb29a88e8" name="a6bb02467321b4e51b066daeeb29a88e8"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6bb02467321b4e51b066daeeb29a88e8">&#9670;&#160;</a></span>dump_cpt()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Classifier::dump_cpt </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00184">184</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a4b05f68bcf29f29a57a3bd7b9db006b8" name="a4b05f68bcf29f29a57a3bd7b9db006b8"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4b05f68bcf29f29a57a3bd7b9db006b8">&#9670;&#160;</a></span>fit() <span class="overload">[1/4]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00057">57</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a03d8bfae1f53370a2736ab2720e06966" name="a03d8bfae1f53370a2736ab2720e06966"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a03d8bfae1f53370a2736ab2720e06966">&#9670;&#160;</a></span>fit() <span class="overload">[2/4]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00068">68</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="ada042f438f2925dfbc8505190ac65134" name="ada042f438f2925dfbc8505190ac65134"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ada042f438f2925dfbc8505190ac65134">&#9670;&#160;</a></span>fit() <span class="overload">[3/4]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00074">74</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a80b9b8b8ba6eac55e5ed7f4ac92bdf94" name="a80b9b8b8ba6eac55e5ed7f4ac92bdf94"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">&#9670;&#160;</a></span>fit() <span class="overload">[4/4]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp; bayesnet::Classifier::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00049">49</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a10b3dbdf42e1d42deb6e320911d95241" name="a10b3dbdf42e1d42deb6e320911d95241"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a10b3dbdf42e1d42deb6e320911d95241">&#9670;&#160;</a></span>getClassNumStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Classifier::getClassNumStates </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00176">176</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad5190e5b210953162d334c71eff43acd" name="ad5190e5b210953162d334c71eff43acd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad5190e5b210953162d334c71eff43acd">&#9670;&#160;</a></span>getNotes()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Classifier::getNotes </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00038">38</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="aed20da20e72a8cd5c2fae7a14565260a" name="aed20da20e72a8cd5c2fae7a14565260a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aed20da20e72a8cd5c2fae7a14565260a">&#9670;&#160;</a></span>getNumberOfEdges()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Classifier::getNumberOfEdges </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00168">168</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a993c490b634676fedafd618dd3926ba1" name="a993c490b634676fedafd618dd3926ba1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a993c490b634676fedafd618dd3926ba1">&#9670;&#160;</a></span>getNumberOfNodes()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Classifier::getNumberOfNodes </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00163">163</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad5b81939ecce9783eefd02ed7e6a6ce9" name="ad5b81939ecce9783eefd02ed7e6a6ce9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad5b81939ecce9783eefd02ed7e6a6ce9">&#9670;&#160;</a></span>getNumberOfStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Classifier::getNumberOfStates </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00172">172</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a469fcb6f35fc1418861a0d39f7760def" name="a469fcb6f35fc1418861a0d39f7760def"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a469fcb6f35fc1418861a0d39f7760def">&#9670;&#160;</a></span>getStatus()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">status_t bayesnet::Classifier::getStatus </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00032">32</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a3d1d2b50b214a035dfc29519a98cb823" name="a3d1d2b50b214a035dfc29519a98cb823"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3d1d2b50b214a035dfc29519a98cb823">&#9670;&#160;</a></span>getVersion()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Classifier::getVersion </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00033">33</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a5caf1bef3986ab4dfca40260c822b4cf" name="a5caf1bef3986ab4dfca40260c822b4cf"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a5caf1bef3986ab4dfca40260c822b4cf">&#9670;&#160;</a></span>predict() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; int &gt; bayesnet::Classifier::predict </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00103">103</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a8b479c1ded14080688231a67db7da7b1" name="a8b479c1ded14080688231a67db7da7b1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a8b479c1ded14080688231a67db7da7b1">&#9670;&#160;</a></span>predict() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Classifier::predict </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00096">96</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="aa0d6033ba3ba5ded5247a15ef8416d85" name="aa0d6033ba3ba5ded5247a15ef8416d85"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aa0d6033ba3ba5ded5247a15ef8416d85">&#9670;&#160;</a></span>predict_proba() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Classifier::predict_proba </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00124">124</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a4df367430eca598146b7b8531ba29358" name="a4df367430eca598146b7b8531ba29358"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4df367430eca598146b7b8531ba29358">&#9670;&#160;</a></span>predict_proba() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Classifier::predict_proba </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00117">117</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6c85b2fb9ce702d6b55c588b08ffa31a" name="a6c85b2fb9ce702d6b55c588b08ffa31a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6c85b2fb9ce702d6b55c588b08ffa31a">&#9670;&#160;</a></span>score() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">float bayesnet::Classifier::score </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00144">144</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="ae2a54c7b255663cf88c400daea9a66be" name="ae2a54c7b255663cf88c400daea9a66be"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae2a54c7b255663cf88c400daea9a66be">&#9670;&#160;</a></span>score() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">float bayesnet::Classifier::score </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00139">139</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a363db4d3edc674f6c65446f99cb9fa2e" name="a363db4d3edc674f6c65446f99cb9fa2e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a363db4d3edc674f6c65446f99cb9fa2e">&#9670;&#160;</a></span>setHyperparameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Classifier::setHyperparameters </td>
-          <td>(</td>
-          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00188">188</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a35fdde36bf85a67827a17a076c7334b4" name="a35fdde36bf85a67827a17a076c7334b4"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a35fdde36bf85a67827a17a076c7334b4">&#9670;&#160;</a></span>show()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Classifier::show </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00151">151</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a3d520dfbe0f189f2a2fa73fcb11fc533" name="a3d520dfbe0f189f2a2fa73fcb11fc533"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3d520dfbe0f189f2a2fa73fcb11fc533">&#9670;&#160;</a></span>topological_order()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Classifier::topological_order </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00180">180</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<a id="a225466de262d98d5c12e176bb1e51823" name="a225466de262d98d5c12e176bb1e51823"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a225466de262d98d5c12e176bb1e51823">&#9670;&#160;</a></span>trainModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Classifier::trainModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8cc_source.html#l00044">44</a> of file <a class="el" href="_classifier_8cc_source.html">Classifier.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Data Documentation</h2>
-<a id="a9800be045e73f73ef3bef7c9cdc80bb1" name="a9800be045e73f73ef3bef7c9cdc80bb1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9800be045e73f73ef3bef7c9cdc80bb1">&#9670;&#160;</a></span>className</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Classifier::className</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00047">47</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a5d9c9d1bd115ead98bb0ddaf2df5d9a6" name="a5d9c9d1bd115ead98bb0ddaf2df5d9a6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">&#9670;&#160;</a></span>dataset</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Classifier::dataset</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00049">49</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="abbff645d99c607cae1a4a843381b8db1" name="abbff645d99c607cae1a4a843381b8db1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#abbff645d99c607cae1a4a843381b8db1">&#9670;&#160;</a></span>features</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt;std::string&gt; bayesnet::Classifier::features</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00046">46</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="aea401da2c395732dcde94e565b53a485" name="aea401da2c395732dcde94e565b53a485"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aea401da2c395732dcde94e565b53a485">&#9670;&#160;</a></span>fitted</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Classifier::fitted</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00042">42</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a0604b45141b3d8b541ca8aac03293232" name="a0604b45141b3d8b541ca8aac03293232"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a0604b45141b3d8b541ca8aac03293232">&#9670;&#160;</a></span>m</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">unsigned int bayesnet::Classifier::m</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00043">43</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a80fde71d6dea24fd2d23a11aa5fb0d84" name="a80fde71d6dea24fd2d23a11aa5fb0d84"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a80fde71d6dea24fd2d23a11aa5fb0d84">&#9670;&#160;</a></span>metrics</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">Metrics bayesnet::Classifier::metrics</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00045">45</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="aba373ae6dd67262e3d8cc8c113544897" name="aba373ae6dd67262e3d8cc8c113544897"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aba373ae6dd67262e3d8cc8c113544897">&#9670;&#160;</a></span>model</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_network.html">Network</a> bayesnet::Classifier::model</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00044">44</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="ab34ab485d73d3f76e63bd7e8ecbddee9" name="ab34ab485d73d3f76e63bd7e8ecbddee9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ab34ab485d73d3f76e63bd7e8ecbddee9">&#9670;&#160;</a></span>n</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">unsigned int bayesnet::Classifier::n</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00043">43</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a8ae8101963f78aefb61093ae66ba1c7d" name="a8ae8101963f78aefb61093ae66ba1c7d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a8ae8101963f78aefb61093ae66ba1c7d">&#9670;&#160;</a></span>notes</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt;std::string&gt; bayesnet::Classifier::notes</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00051">51</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a725b62e1d3e4a856265613820efff77f" name="a725b62e1d3e4a856265613820efff77f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a725b62e1d3e4a856265613820efff77f">&#9670;&#160;</a></span>states</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::map&lt;std::string, std::vector&lt;int&gt; &gt; bayesnet::Classifier::states</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00048">48</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<a id="a1fdceba49bf2398b6a4959ddadea177b" name="a1fdceba49bf2398b6a4959ddadea177b"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a1fdceba49bf2398b6a4959ddadea177b">&#9670;&#160;</a></span>status</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">status_t bayesnet::Classifier::status = NORMAL</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_classifier_8h_source.html#l00050">50</a> of file <a class="el" href="_classifier_8h_source.html">Classifier.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_classifier_8h_source.html">Classifier.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_classifier_8cc_source.html">Classifier.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_classifier__coll__graph.map b/docs/manual/classbayesnet_1_1_classifier__coll__graph.map
deleted file mode 100644
index faddef8..0000000
--- a/docs/manual/classbayesnet_1_1_classifier__coll__graph.map
+++ /dev/null
@@ -1,7 +0,0 @@
-<map id="bayesnet::Classifier" name="bayesnet::Classifier">
-<area shape="rect" id="Node000001" title=" " alt="" coords="107,94,244,120"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge2_Node000001_Node000003" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_classifier__coll__graph.md5 b/docs/manual/classbayesnet_1_1_classifier__coll__graph.md5
deleted file mode 100644
index fe2a7df..0000000
--- a/docs/manual/classbayesnet_1_1_classifier__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-11b68cf05c82a53d413b124afb143844
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_classifier__coll__graph.png b/docs/manual/classbayesnet_1_1_classifier__coll__graph.png
deleted file mode 100644
index ff1955ab8f956aa7d4a9e20452d9414bc72beed6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 8752
zcmaKS1yog0*X^Msq>(h>l8SV9UP@9*O6t<7bc2+1ipZ62q(zXBF6q92G)RMhqzL$L
zzW=>9{_)0mZ!pHW#Nq6{*P46HwdXvM8fppzcr<tr1Q94H!ZjfXO%;6ak8=lHnXkDQ
zz{eePWd%6&@AfOZxhNTe=pZGyw6<6J{(`rW_WBL>;Rx^DQsRhUJfwVNST6drX(l??
zH~pH)rTQ=3>7FXHS0X7at!6#`>T^slxI7`7s3?@d3yCr&N8@jJQE5m;^__m8YIyL^
z&5Z`LhLtHX)%%0Lr#q)RgK6Hwo8B8~mDa<;>1b4l81A0`btzjX_LRuhEftTjNnq;W
z(xsG%K(x2FZ^w>#7#SJqA-)V4FsG@U`D$p4ww6j1)*mau`4n-EWGA}K2gTqgFQB>m
zd5)QX%UJ1upqctj_5NZ-rUVBE(})rwtfJ%NolhLaet&0p<?ilyvR}2q&d*OiJ3H$s
z&QT*p(L-flU2ntF^MU&Rb^X;~W8C6L?YcSa7{SIK&ZzW(-(I)&pTyN+Cv(GtJCKX3
z>(Q^K1A0bA%r|e|e30-L86O|V-@S{6$7PRVd-wjmK>wMmi_3q0NKM6n0{-p`!sX@Z
zSy}OV<7s=x3zY9$HVvs7rvHVwe9s)p3~F~OdRzb9_+A~#9@h`@^YYe=Eq?UnK&GXo
z&3v)dlC`LQ?Ck7ZJhdYt{vwId?{w<L_n{%VCXannd;91b>k)b(q57V_$plR;t+Cd?
zzy}h3RCx;VJu}saqpW{d*o%vcLcV8gkW}8-a%p7?&%N4kU1Q_8{Cq~mBuog0h)BWQ
zoZjbbFETy-LAqpM%k#Rq`7hlKM370~HGiRcRva0Nnzrv%s!2e5dkFS@%a0rV0|T8=
z<WFe|_U~N#80+ap+{S)-ePbgyV$g|KQgZ2VrR-S}qlJ|fjemx5r9wbJK*rqQz<{ir
zT$ui>HY+&=r*RCE@_RZE5=3uYcR0cQUp|@DEz_vCNSBtgANE^It&*#2Yeze!mF63R
zX&R+dhsVdAhR)5FJkI_ulV64x79J|ZJ$O@I&JNLui$ByVRFPh4@jsf>QlGjYdRu)?
z0`>RzYv}4)@%Xw<qc(0B;>Ch(CkmyDCZ;au!+%&Y(aRVZAjh0FEiEl$>pCGmjj_pX
zHxP@rA3xqt&&c5R*weG&qk*JURPcRHcd$4)IqMr5s3m6BdgB$~aCohNi07{u+Q2Ik
zC?P#PX0h2fPdSz2)$7;N78dzttLz3}aKwF1f>Ki{=NA?d6B3|h)HIWVf&!aK%Y%oa
z9--0Ecf$!EMs;+^Bs-q%P7~?t>w9gaSsxAwE<upQzbjY#`vQXr2gB<~n_2_0!#0d?
zON77R6t<SImX_A*i$gOuqk3W<{nM{b1Mk^Ci2HiPHtc-toM|k5QQ6Vghf5QC2SBsl
zZJU&yp8jw>)x`XGV~9$^&#T<OA>dlX!NH;G^_qNrQ<LCqPHZ?zck|{gZ9v3*L8lL5
z_q3)R<7oKt4qE?7K-u~En1qCcdR3-xaxyAjHmz=r<v~HszULi7Lj-7OXs=vcItJ5t
zbEbC>km`|<kyD=m&^zYl?o(4!yL%fBkx^1o7V4IkRFIOA;y__<-)gC;5i&6{YMlRC
zc*4Vz6cOR)?{7O-=g6o;YH4AS5E6pH#Kbgqwm(<m|MyJ$`EzMFoSU2b=hl{DK|z7G
zwl+LN)U)t>(KkLSI{FDad#umNmNZy%AqakAO%3n*=BAdM9G3s@J{CTkQ9641Mi2tD
z?5ZlRaT~sOA3i8LIXQjtKDJ7BBqed*nT*WM%Okjsii<1cY`Mtou`JhBhHS?3mA;s^
zqay{KABi6i^8Vb|khdPm<p0*Ax1@U7u00IWm!QJT8<WPpy}gYY<h1xr|KNc;^=57^
zi1qK^zjLz!E+Zo%Q00aS@e-Fd<^CmuLSBcax1)eMAu=RbYoHqItwjJnK-S&+$0;@?
zND^go=)f<YKYwoF?5y5;eRiLOL^V?^t)sKk-v8iWe#1J;UtabtArpOW2sTktM#e)d
zOiW^uvC7t)XKHF{`BQdJ#Kkil935>(GR5KWcZrG80Dsw)EtfkLf8M31t9W>Lz~Lun
zbIw}e25@h)+JSumC~=7f<#Bdja=q94$vY7MBzb5UcM^;%i;g!(k{OlWrKHH&)gndQ
zwxkTdIu(qMYr43(@!=c6;h3svJYf+Lbq=#K92^{O#~Z33!uex1HtoS!d@er~8@-O`
z!Scp7vjWwoD@|CGl8Vd9Vj^zRg;Jd9Nya{KBepU;7rAFQGMvpFS)(_OM<mt3m_=Wg
z0zMl1Y%{sIyBARNS`m|^?KPE1eCTg*-_`wGQ^QcMYtLgcm8-vW8}c7fg(WT8R$_h^
zuQGbRX}Yo@9c_P+UF-8jM##rMQdJi}y+@+MiQI5Fo^NoqaCB4!Ai76QtpsW&v%S4N
zD;ryWfpV&*o*oqmiT_bI<s?A1ojwJdo|Lq-wC7OK<fJwjGf&uc;})4OTLYShuS+e;
zYy`efA9K8H%vOkh6mCgNOKV|mEz6v|V)E~jveEM(E+`0Md)au;rQrc&ia>;HX8IC}
zdh7+M6?K9wbl7p16M`y?8qj0qLnQn!vtLviZ%vg_3ON42gke7NJCyeOyZ?2j#a|Ru
zj+M2w5U>$+2DDDC?$*`S6&DwC&06`(!Qsnm@sd4BOv;D*Uzg}%Ftn$-Wm59;;e9P1
zcS1_ijg5^TKY7yL`tSOn>GRb=;J?n*?&t#%58eL`+oa{--;-^G?nl5v8GloB%k<s=
zY*7=kYx7ut1a$Gr)wMH{jD?t%HXh)P;`;JbRz?Qh9DyLAp}|{5>Ck|!KV>}E?CW`T
z)Jq$_{^_^`6pFv+2XBdUrPW2Kn+Fnwo#yM&%60D+XyQUb{+E1>?z`bXe_Gt~AU8LO
zgoFeHsjI7Z?izcoV1<T-na$U~uBxr&pV#l3nj+ty``TM;KaC&ax7I^&kCGCs^`<QW
zCd*~kfeB)bINh1@T2FbwWjFa)wn-=cT!(^0%TeH6Kdvu;v4y22_5Ob_v%Rx}hmDQB
zH}{nYEU&z7A0#`stZc7B$#zGaD}_N)vK95ZV!(^<?1Q0!Vb<SAj~-oY<;8O$dho?A
zxAJTNqcqo1)6hhH_&}8|>Pd)!P1r@IF7{?-M(=^J3+67W90PLO8bt$4RC3nXe^e2f
zl0qK$Ksb2lqaXs%78SQSCfGW!M*N+s$fQ%SLr2nuLqGvD?+C?JR8|fF1?$_lZx95S
zyd&l53w&oQQ&T!nn{T@U6(nEZVR$?hH@cwnVizbT((rnZeHs~A*=ol*0Y)Y!vy-i{
z?|@Q!;~s*n*qxL)=oJ3IgbFlmg=`3++eYJjDbU%C8UhGTOiX+e6N7&nh+F<DQp?~1
z6)E|@31xqO|7g}a%WS<rWv0QE<%<D3D=X_QJ(QWWKB}=AYAjtk9eTd>TEKeHFr-f8
zyc7vK9x*Yo!wGfCDc_GdIXQZ@cH~#r*JhTMVP>7-W($q(URybD@kJTbCH^o5T%W$!
zo2|iaE9X7*J^$4mic4lUSfKHE`RC8j?TMnbo4*IWfI{pamim;8a1Z@GXw3qP>>C=2
zwcw#vMe;?0*(jDyX@bzW@69BF{iO!_k$ljNqyY+c5PB@?`O64hiju>q81)Opsc&&H
zv(aP!*|UNqX7x;!_4W1qiEW$1<#vDzxtp7tpWE9?_NX#gu4MeK_M=T0JyPg3{ZJZj
zuf<0=+_~is^X!iw<L}uGBeqc0Nq`k+M%AX)`w>W;f4ieO7-6BIqutSz1S8z2^Dkfc
z^8Ab0ix`!@*o@JCuB~Ny`t<4Nx;o|;FJAnpM!a1))rq%72`aqoX{bXW3ol(Z`#v?=
zIrZ|*{g`L@6rfTwp2lmfn4>`zXNzo7jg^;0p-?AaKar6<*Vm`ModyVoiKA#%;EnK;
zdw9Q3P8dN4ffR5=t}s5I`lIcwQlkkvx4w0kA5EUl<)EI+i;`&T`1tt5lKtA5DxH#e
z0B9I6D+vj^VO>mcNQk{d<!`oS!0g8Rua%OvKzZOS$j_(xQSubwNSc`QosSXWUs+C6
z=t4@8^8Wqp^tOJl54h8WT>h+2eJxPLxnZLwSHqh5SM@7^xbt{lGRqSdmLeEE%@m{D
z!~=lTe9+E~$r6dfn>-JkPWG!&ISmx5u7~r^)HJ7i-u^~S9t6BrgKfK&t#L(J0Y5ak
zsq9_E&JFAC2>Tk-f~w&8vUWtzu+6pAa?P-l`~PavV;)VYsH!^lKZxPK54e~AW|80C
z@RPBh$<#|ZE#~BFHMpqPxSm@0WP3sM_dYW8jiu0Pf`mScRzdS)(HMU{gHNBAe#Skc
zWK9uOG*Gs-wT;-SxGz5c*JQ8ejvznM3he_krbJ@XaufeeFpDVfoL#FHT5uP7!Ygm#
zZqJB<<1Z9Od>?aC&l56?BbU&=ylr!rzNpV8zMtCxU%T2Ove!XfGK&+!=p!HFK%pu=
zJgbw?vD5SJnAO}_m6BZBM?vaRki}?-2DDtmgZpouhSgyDT)|@mhY@wA?rnhM6AwuS
zxzVLP2o8u<JlkiXyU<X_SONdrTv+I_zOIP<%48jZJ}NEs6wRLL;d{U1e6AZ=?lM(9
zoFw<(ssWmJ{NULV=rTl7gb+HN(&&t>(v9TQI6f~1<&c$w9ey(>!#8Em%qp_cV7kOM
zJM@+rAx*xGND>sj<GETbYZYsj6pw8V-PlX|1mY<U*gMFmC3A1i9v13-eu7|rJ?7A3
zEFpES<daV}I{aPhi;NUB!>pwD4F)%|>Gvz!cKj`jFe#i2$M~SmC=z9uwbCTn%g6}Z
z`V(Q%x^X1?vmD1{elez;ngb8=BS1q~kEFmgh*v6QmL)&g{1EWwbhqn|DYGS3EIShA
zZ#BvpfDVZgUXgv3XyvC+Aw8M%&rJ2?^Bxrlinih{O0Bww>CdjNB_kE2F(ytTh-9R)
z*F+D-jJ%6!$HJJlJyH%?FiPM=<CQutR{1RF&JH@_lg~oB$eB4z%oE7t9)($dN0{H$
zr`jmRv$-d99f}EzrYA(S5mMCD=j49V`71w&Igso@#_=Q4@{)``XnQ+$VVij!m<Re_
zTuAx?M5R|N;dBgI!I+0D9T%oAwXE%**4xxUOJYxWaP{tLFU{o}`rh|xAk5;xr?`UI
zGB}+4wvoCzM+vv>q$CI3S6dfYGGNx9Ym=)9qkE(7ob{x&R%P_=vI#`E^;0N2s_+d(
zOfT{~z@LXD-hva33s&ST-DsA{loHW$UX}I%UUay_Iv9}nzCzRz)3PBf8zURLs<f29
zXHJPqK?*&HiX**zjya3>EVyd~@=4A%<1D%eP~!1PRGhyVhdCJtQ&iNr4Wr_st?uTI
zA|m0$#1|zW37Elb8!dBkzZDa&NeQ7Zr#|7nXS$tUw(_6cGEe`*Z!=_04p&wF{f`_f
zWcm|`EzL>N$4Gk8_wHhu=dOa|DVP(Ty-c?yn##6a7_LsdnS5AeR0q8n_HsfDF<DFe
zqgqoHR2x2))+hr{8Xw!$WRR=QbZh$FS8^WP;BwuDeog8*(wpdPU5hJ^&n|9V9+0$5
zN3na(YJCB3weMH+wm!9I8LPfYN|kELza^cw#T*|}4(V=qtX!eBy;AB(zAxJiQ?@oQ
z;|JRYPlr7{_;9k3n8bNoC8ieaUBi-8^+e77ZX!5UdsuRHcqdD+K?(njjG;!*5#}EA
zo2(*vt*QcEZWPU{F^BHlj?k83VovmnR49NjKBt#GBa-^-=MnwQSZTZa%A2NzU`wpu
z-c&`*iQB<JzqiscD^~t@p!y82;4HghxyADRaEHoT?(7|S7_PrG$<3WN8St6BAL^ZK
z8IjkvmRU8!+D;EKvO|n=Ow6~%2KhLUj&SV{qm&e;JeVFbrstD3J{{v}Gv&c0+IE4k
zHXT@Ma1k?Mz4^AvAfJTqVo%JHnu~&h!#(s7G%u?K#n)})X+J&@Tqld}U_Qirl{NY#
zm|^&=*=}2<%)^LpF8gRsDIkkMfcWr5TAQoALR1!eMoD?YOD+VOkbq@-OniLS<Iu-M
z`1td-d&1a+59-x(H2h2*9mNAjv!x4E6HA#^DmNW9ZYOxpoE2w|v4c<tU)*t9#WB`+
z)B^IrYY4C*J1`@J@%THVr>UUSaJXx}eVcDAk*Q?_!-K{(=fDSD3(b#+BVCn4Z1((a
zn){!&l1L2Io2$<T<+=|<JqGJsyg|=}0w=yRPl@;lxP!yqwN94dREbv6o{B?fWJEp1
zBuSvS^KJy(3tyL%D+OmwFf?M}ecU9fyQjyefBm;Mln8C0SFz+)h7tQf&gfO7GFQA@
zT!#cuM0B*TCUdf5SNW2N=bfsZp4j`&VPRq0Ypbi7iG3EOP(7rGo<Okd2Q;Vo&bLH=
zpCx_4ZNq^2!-xlHefO%*S65dXzpwvxqjv!(;$i1Y5}U;flhisj90NhpN;ExA%-oK=
zZE9r&a|p7B{3Eu^U|mmTBD|r?$0_~4Aeo3Q_gaGmn1BH4C3CVI$=GCecD5Q`ST1%@
z(aV=Fi)g{}b(xd>)!`<#wLjuyA_CF9XrM_ucTuIJfIEi>&?AaGz8BR3=i5G9=_H}p
zeSNoGE*VW`^fK`S;Tv~MhZo(WHSgoPAXwL5pri@&q&W~l#AE$Hv01{w!xMp|o+kJC
zu-=Qpg+7B$An;BQOg7vI`%pZH8%QAW7~hEq32!Ve4p*>%aPSdI$AW<Vh7UcZzigeK
zH+pVll<xc29l<_2MG+Rw+$4u%Ac<Z{Rz(p?TmQ-+Q?q0c6M{J{yfR42kJiy8Bk4nP
zW634+{B|M;WrPuTqCIFvEJV(620&7xu&zqb=WLdjmyck0MMlJ2?>uQzHQR>Ds7Zna
zh?{ew(B4$}?*v@#h7(s0j8_|c3Op0v=Sbc4#4$C1e_qmeHOb1#a^4Z#dpe@<69*Q)
zSY1IIWY3dU77_8N1@STvvV(OI(D&cP$KPWPrGtcgPKry_ikfyA$x7qS`SjhtwtN~P
z4%LyNWA&3%{o<DY-llwnnyA5umZ(jM^xcBqTq2__XOP6v(UCevTQ#Eh2Zom>PPHmd
zHFg_=UG1eXJ*i!-2u{$!e(DW+o3MmL04YgiXlSUDNQM(FiK<OmSveM^s)r!VX5sN5
z;~R3uDt&U*5knD8<<DkqeHHnmC1_iUqiYjMSO09v9I>#mv*>fZA&;KkUXxG7#r4nN
zV@ZsTK6}-@YNTW6ur8vvgb(|PWy)A`576iUjz1C0Foo*5Z;j^gWvF>ZMg;87RIf?W
zJhiuPPkq3>77@yN=O6a6JL$z-c%pe}0RzA1{X6M<pC$&TAl5G~*J~4G*j57F9#eL;
z$;7KL@QC$Dmdx+vjlTe>9!3^x>FS~aJ32Z}bf&wzx@HXZ^~Le&c!h+7nxA~Gb2H*g
zv;A7Jc9j$)h-vn_k+`~hJP}zs6;RZOOZpn(W88`aEr;;?;Vzm-f#TMMxYE1wk%F*8
zYFt0EmMr5cxBLwonBpB$Us!R(U1kJ6MEppVwj@`nD5{W>J)=O_VE5z6*6%kgMr;`&
z+^Cr1T-$0^q?=aWHj}coSxhyBG`TG8r`y|eTJ=TlB4TQBwDN2dS&=7N=MxtH`xaH&
z;#?&pjcTRdf8Vn5*EWY0nSV&-Gc~S{?C|*qudHoRssTgj6Pmbm{pthDAa3)cFVomB
znr6!=;x0cEol@rPn}j-A0uJeyroP3l=Jx%Xy?nl^1s%hx#Ke$=h9c?+y@RYRCdDrF
zdV^1samd%(IWB;A-nR#mbkW4HA~(=4Fxz5I^SWG=H*Fv9UXwMSB(V{;Ia@w+{2oIV
zPhlWJR`Y-ZSthNzpza#lR>a8V+NoGQIPU#x3Xpy?W~5L;J^k0GxX&Lx)U*Kg{&T&}
z=R3Cx4>?Su8#JJ#Z>e+3yliZK>rK^$<=CLQb)xMY3z%zQ4S_6cFQ<LdLfrO%RPR$%
zVcPp)EoapFH15T)d=bt{a37Vu8;F<T*UGh@%5GGMG7fF-lR{RcVr|xj;s1#$YF~U9
z3(yx8g1rOK(E6DPVKZWzEruIKUwk&fr^Bc8>H4Iiphmm)Q=rRIivO^Pp$N7;^~IjB
zJ<qOemmTa750fHHK`X!D7;5`;(|5xoZ5O5kjt)P|{(x{ICmR#Z3D72R^opYj&)L!}
zYnPswP!lr*kv)4$FX7O(6UymiO_38-_zEgjG93#~Tn#B)yfIi}l%zk3CU(<Y(G#+I
z=J!fp%i5Hkj8fH#TkAae8BQ76;UAEu{lXu=Zf`{=goG;G*d7dEC8vc%GuJ%U!B@pH
zV@DRhs@P8D!Qru$RAhWdE*!JoM9%Gc#I0)ed{-fgfH(r;QXp5&61cpxeu)OHrn8py
zzG}BPZTCg8cYU#)SWIHv=6pXqrdRyJ#&hRv3xnr0Np|%8&V6@85^(|v|Be8g&Hj(t
zHTH}gel0x_sPw*4(v7*J<24YKGYazf;>rRs1l6E@haO1az1jr*wws6zpPxx$Pmf#;
zR&`BHNKsKy0iw!^m6J0*+KOx$fsEm{y2J7Ry|(-;Chs2}?pf)4%k4BTq^w};(%sz+
zL`OOxIBGn9j^^p<83U9AAk;xYK*PH|jw5<v-e{IM9PZom(cJ0+;M^7_lOyHi!~vw*
z<&_mQYinzxW*_p-a02_o{m+G+zQ}S7Gc#Bmt)$a7)w#n;M_B!<6`72z!0StQzl)W(
z^+52uJll`Hx&FI$dAfVC972?knMnve=HygxaA5ml;FxED+I9oF2gbrpNS^9P0T??w
z0nlSdZTP+q4m!NM9Yn4s1)QN}ZEbC1cY(r7K<niC?%lh|3lVx5GqaqrX{Dslq@*N~
zulhzt_!(+1HjS42&mZ1OOS3iB3|w5qV78rLbz|j*f^a#xG{5rdYObjwBuZFV*lajm
zIJ|iV99zvnLvwg|7!)5*#H@;Rdm-A>Lk8W>kK9XF^6K<k%J}Xn@LkB%GR1H+)ZPYM
zUz+v5ds0<bCvRuR8gQ|K4UB>B7Ce}kn5I`3M|#aZ{Cj(QhpW+?==C~3H-<jG1=3l^
z^fcvk#mi36Wh7=~5EN)eW@ppIJQAmo!MVCR9s#WM_}Q~(x9VU-1dbR8)_0IUpwS)e
z)r^<}ar`kmdstBs%c9pB!OYAIm80v?YWHJS){g#^r`)#VjQBKsIIUN|?*hl?Xyc<Z
zx>W7@?sVlEc!1aWf+q}qYRFow&1zv`F)5_h(}Nx~CXr^4nw%U0q>D8m+jM`n97xE>
zhy{muAcD~XymlU~^>W*z%1!tLQ0KwH=--ZqML+P_l6vgTprt&+a&|tDPh%PMyX~P@
zSIu!?hucM2^t`-eU{nQQkpQ(d7RcVXz;+7H%A&=?!#f1J4g(z>1QeH<M)#+gfj8dY
z*Ij_U^oX3Cd~2eJ2zW@<et%r>ABx;#P>2ha&uf>wIU@Svy!5Eq=TrtDM&jlIp{K9E
zvfLhWt4nPRXWU&zE&c);-eDh079ALTAeFNhXcVKBCX#uM^78WLAjKcVyg%od0%zmJ
z(+HhZUS3{Us8lM)%U?8i0icCMr?1GQdU`rQ2V#>2gt6EP2Kvs->!p7;p5K70Kqct(
z;1<JR8M)uCP_Zd0vDR4<{@D}T3BbZhc@~x_?kh0gWqKadn)%fn27^_7{rVQ935Z{b
zNF*M;jF*?t)zww@n9VC7Tt2>s2OO}D-d=2<=0}?&S=bOG3ri;e#<K#_BK53rpa)l(
zbxOg(LwbYIFcOlI(CKA>djS;0TWy$xL4LXX>*A;PmU}bR0DV2z=SxIDGX>8?I@B-&
znfBJui5(EhAbeKvyP{b|OC>g}L}IF-wYEfgsW*li<2Gx;X5BmS=X{1hr(pqFWqZ}$
z%E}w9A~k88Hxotb3=$HLWN^H^yrh_$PMwQ1OF}{Rl9H2;4m*h$n3%9gNJyX{U<<xW
zO+}35%1zZx6ev^HH#VC8{@E8UUNM{@iU2YsaO+xEyyN2H!vDQsO&Q&GW1izn1wI;3
z?q2=*Z7Fs#Dm#S&T_)_w6I>9qsYinR6or@CsW+%X4u4Ra1U;$r$iON6894=oOy#sJ
z$E|7l@7nVg47Z!;*FqC_;Ef-cCIl^dZ;mY8yNiR<hUB-$_x%8rZU_P*@66mBqA!Ul
zytx7RFkrfQ+1U`0#0A|Qe5xSun_ImWI2dvVi_HZ4x(gU(V%uh)R9%4wgexE*AmsUL
z{-s>aZ-+k_zBz?G9oku7bK31YJJNhUD6>79KGp?pW*68<(D=keVp38tFiGeH1u224
zvNc&k2GM~~ff5rggQ~Gsf1L6R)E*ceUEATCfS-v98k(BH$t>!@5eccOZ!HJj!+`z`
z3Y=cGITk2!E6dA4z&)JaF8fv@fF{L}npd_rl6BDFvL0o&kTC#&dJ9V6g@R$xn~jM;
zK?0?E1^96M#`kUQ*i=qSTCVwv4gjx;59#)IcVhu1wCxQBwuZKLDEKh{o&Y13q2u5n
zbZ)&CC@U)iULuhx=pQeR(rJkT!0Q6Dx9<Y<(ypwpV*!ldKM*1Y=Pxf{G862BJ`;_z
z`Ggd>Ji#xUJaVe4h=KACU?&8$S>T;<1L+lPwLBpHk4XG=DDPcWsl|nW+dEVLn!!!v
zAv!wxtFt}*bP0bNj63*HP}6(R&PIWB0BLzqqYKzoIhrN-zDYW#`*YJ<dfF1YT3J5l
zzg||}plT2N)CV_W1ApZLmnkB`#ls_Dc>W{t=H@1VM`wF`&X2W*h6Z36$gO8AA0HpT
z223E0gH~%03kZWo-3dT|0h9;;%Bf*RGLp}qKW9(bt*oq=p>U}Yj_6!Q<67Qj)f_<W
z27dx|7=w~B)u4vz{#{7^uN&uedB673Pzp#GFc-~-ko;E-PVjF<v;82;Qx{(AS>(F@
z#!5=KJiNRll$6%>x<_g$)@=ujp<I4L{HfIfXxS2y2RYiT_VYD-g@x6{7G>(^<4d1Z
zPBZw`{Zx{vf3B~a0oN0UkT5(xKE7a$3&nPn$;=B_sVx}mF5AP9YOC0DK5E1uzR~}<
z`l-}l^^J@uXlf=EAh=Ms0tC#0XErs7F|FkZ<NtWQ0=#IUNB)oK6~R#KkhI7gcm)Jf
Ml2e0M$e0HI7ew8(9{>OV

diff --git a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.map b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.map
deleted file mode 100644
index 7c975a0..0000000
--- a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.map
+++ /dev/null
@@ -1,33 +0,0 @@
-<map id="bayesnet::Classifier" name="bayesnet::Classifier">
-<area shape="rect" id="Node000001" title=" " alt="" coords="221,252,358,278"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,104,546,130"/>
-<area shape="poly" id="edge2_Node000001_Node000003" title=" " alt="" coords="317,240,457,128,460,132,321,244"/>
-<area shape="rect" id="Node000010" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,203,531,228"/>
-<area shape="poly" id="edge9_Node000001_Node000010" title=" " alt="" coords="355,245,424,226,425,232,356,250"/>
-<area shape="rect" id="Node000012" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,252,541,278"/>
-<area shape="poly" id="edge11_Node000001_Node000012" title=" " alt="" coords="373,262,411,262,411,268,373,268"/>
-<area shape="rect" id="Node000014" href="$classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,301,539,327"/>
-<area shape="poly" id="edge13_Node000001_Node000014" title=" " alt="" coords="356,280,425,298,424,303,355,285"/>
-<area shape="rect" id="Node000015" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,351,530,376"/>
-<area shape="poly" id="edge14_Node000001_Node000015" title=" " alt="" coords="322,285,362,311,407,337,432,348,430,353,405,342,359,316,319,289"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,252,173,278"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="188,262,220,262,220,268,188,268"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,5,725,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="506,93,547,66,593,40,619,29,621,34,595,45,549,70,509,97"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,55,726,80"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="543,97,613,78,614,84,544,102"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,104,733,130"/>
-<area shape="poly" id="edge5_Node000003_Node000006" title=" " alt="" coords="562,114,598,114,598,120,562,120"/>
-<area shape="rect" id="Node000007" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="608,153,724,179"/>
-<area shape="poly" id="edge6_Node000003_Node000007" title=" " alt="" coords="544,132,614,150,613,155,543,137"/>
-<area shape="rect" id="Node000008" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,129,939,155"/>
-<area shape="poly" id="edge7_Node000007_Node000008" title=" " alt="" coords="739,155,786,149,787,154,740,160"/>
-<area shape="rect" id="Node000009" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,179,940,204"/>
-<area shape="poly" id="edge8_Node000007_Node000009" title=" " alt="" coords="740,173,786,179,785,184,739,178"/>
-<area shape="rect" id="Node000011" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,203,728,228"/>
-<area shape="poly" id="edge10_Node000010_Node000011" title=" " alt="" coords="547,213,603,213,603,218,547,218"/>
-<area shape="rect" id="Node000013" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,252,738,278"/>
-<area shape="poly" id="edge12_Node000012_Node000013" title=" " alt="" coords="556,262,594,262,594,268,556,268"/>
-<area shape="rect" id="Node000016" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,351,727,376"/>
-<area shape="poly" id="edge15_Node000015_Node000016" title=" " alt="" coords="546,361,604,361,604,366,546,366"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5
deleted file mode 100644
index ffe3469..0000000
--- a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-e8eb745ffa2d265244d915fc0e5f0ee0
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_classifier__inherit__graph.png b/docs/manual/classbayesnet_1_1_classifier__inherit__graph.png
deleted file mode 100644
index 410aacc6728d0e0dadac8675472cd8cef18f9a8a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 43117
zcmc$`2RPS%+c*BPm5~(^C1meJcIAtby~!?=nJrtgLbCTJdy~Dgva@$ap^PFKC3?=U
zuIu{W|L4A+`+n}{IG*Ei9mn-^i0@~e@ALgy=O<WMQI_Z|%~=FNi0<A&sUiqgIf7t#
z;p4(j)G<>?;Xk-0_heDXAN2pyn{uNNgdVwzx~1-#ygBc#tzr5>X!~1}aUYw?+?8dW
za;l3IDKZNb4r5QSciu<)elN)Pc@!la&ZitMPV;zjHrq5mMOl4J;QHv~7ZstE_7X=L
z*|91sCN=fvd>A+}VYK@nS`N-RvYfroYh-umRbr|CQDpw8VZuz|ckN_7)lJlY@-<e=
zR*XeLN=jNy!5o!e8HD{f#cw@Tbv=ocQRbm#ieKK<ClewF{JYA%D-5^f@{4uX((73m
z$T6%&MetPawKBv81qJ2#5?z+i+rU>3Z2tZIUNIv{HLJ+qPlZ1mrwGwzIQ_EV*X|&L
zpTLJjwVnPU{B0s3W%=Lp8+%w5boKNXGnxHLr>?-a7TJTz!hYG=Oq@Cus14S{8+Oas
zkx@~6ro9w|)Vzx&dv$enH|#&*i;0Qx8nq&|4Gma`f!9yd_yMyc=M+&F8D(XXXV0Fo
zZ~d9EEWIKr+0r|tC@+tiePg|`{U|7}q>SbC^do-#TuUoAZpSTt@Y@0d1A{j~zWRgh
z&+jYR<t8{EypFaSCW;N3X!IMLJKy>f@Hua4|Ja(Pnx39UeBj(3K780ZJ$*rr&Et4)
z5}%m3Yp%}0xN>^aIy*aiaeJwqH)+5{fx-R{p8V-`j?rf4<VeTMGw0`H;SmRghld9R
z={31&oFyPAoa2_1G_(@DA2!>Rlb(LFNOMEKuUNBCuhF%9=9rT*go1)%tagByP9$jf
zQIW=*<z<tdA3vfG4_)nCT;et+OJ^q&2F&c7onxEa4`yn%CQH*AzxQ%5FqrUCKb)_3
zikT60{QT;(qsVlHX^3Y+T3Q;@)vM#|S{m}qQRtI;bi6A)ruvVYLRzWK85A7s8y<eH
zv9WP`Oid{xFApDim6-VALz8>^!op<<2?^IFe<}o7T3U)1b}-8k^ziiD`I4K4iM+fd
z{zAg@SNenQm%P-3+GR$*O>1_;nbMz!v+#Z&9}nlNvC!Ulg52yZ9!O11bv>AOS=!nn
z@@w<SkP2L$skS7Z-CSsq<kqi$&XVei$;QTp_~hJ+W4Li+D)rmoQ)H_A0UjYP7A22C
zsAjS5bR|}61f%TY%8LK{_sWP*QqslSw{O3Sjn&+G3P+*;b?`0xoWx=Jz9Ht{>bvJC
zDPE2+F*D12-`!nl^~D-#a(B^zlMD(H`~Hrx!nBXFeA)^Mjj{NCO)R7A%Xe?AXS3n)
zt7>X8Gce@m=P!Tx!X{)h_X_TLNNH&)r(UgczgcCnq_=_FkIz@`-o0!8>&N4r@82We
zzP-)H!4cJRvR6t*LBYhpkgJqNiNGqjA}uW)nVQNCH?hL*qfDUni@AAnO97gd0ilH=
zX9E<|jT_pO+<L4G4A;#1Uo9>!S`4YFs6-t8{MpkR!y%o$o~lh6QCoXsXK$~1=m>s#
zxbx9;XSp-xwe{?q@k3EEV<k=%sRv4&=;g*J<bC2nO^8c)fghWkMe+IYqvr!=?W+Sx
z@Q=QYjbh0nPG`Bfx!=8e*IH}$(WqQ|Q#@+6#<u(U8S=&T^%rpE8AU~eyQ>3!L9Ir-
z^!)r}qRyK>L9JGT5BAo_-wh4P-oE`-zbWZnENA(-Y^c)bp`nC<)|ywDn6T~a?8XPp
zO-<V#@*A&@<s&|KqnP3QD=aK)C2#h>Erc(e?ALsrD8BewA!&763>O=_wWlY4q~iB)
zkB4Svnu+!f4s>s%P&3P)JJ9PVOuPFf-Efxdxg!rFBl<Ts^Jh~O1K|XhnhrkrDdtMG
zcpY!zBo-EOq<Z~&Y_-r#*VfiHRp-Eh{!Qdve?Lk^h4k0{*8MLIzkYo2GiY)%KK`|*
z{l@A785tP~35kz%2<1`_OInrfWV5IHQOo??oU*3oYT3XMx<3Tr<DR=jh?GrR?PrQh
zNL)gm9RG6aPq>EH;PS02Q#xdOvvTM*+e+EITCSq;VykaVtU{6?QF(d!K}=Lo)!&|%
zN7^?qApP{I@DDd}WDzR)^Gr1ddcEKfP|}Nw)A{=PB8a4<<dK)!Yx!F!6gIPbJR&3{
zM0i<(_NFxHOo_heLsQe~kmk8LJ?L}L8%V>&_o<l`5}(79gavK9zd5~cu7q(j_h>~%
zqV6YcahBjWSvk40=;iY6-JK(-?^xrHU189B0>>?+wY90Ce?IyC>8`80`$FZw$cU=d
zhsFy-;s<k{rVN=~el_IeP$$<-C_`|*HSQ84i%@Fl6^K6M?%Gg$UmwBA$qC{E4VU5C
zwNV3Y;){ZWB_$<6AtCLbdZM;E*YZ@dl$Diz;AY%Hy^4wPFDv7<ny$c+eM#E}pJlhw
zdmawW$jMnW!tuD^W1a%?eq(PRBOO^>Z1X!j{1{%CywKt;IhZCHJ~gHNV{>{`0#?t`
z(YKcFosZo+L*6Ik3!VpbvE2GEDk}ItefmVt!jd~;-HL;Q^RB1omb0^9^Uu|bgmfYl
zA3l7Dzh<tOvx(j~99H}F)gC{7T-*XJ623CcR=jYX*C&dTp8NX;Lt}<cnIQJGB047K
z?$f7rgck+n8=IPP+z-BzUAVvoPjz`?g9CN}28PI2ujr9a-Iu+K#=b%sceJ-l)jNJ+
zaBDJnt(3-{lapgouKn=ct1BY~8XOmRjeO9nxIm*2^(oFbMNUp`a|<OSBj@4K*e)oI
zf>p_4V`KAuSoU&o(7WG1cUP7IFTbgAIPy?ej}E<X?RD?&aG@4Ya7aj$&<9s3WbXRj
z#-tL89oM<u^QY7~ai&VMfym_KWVx-MKYwaW6C=WopOwQ}Sco@Iw;$Ais&&ZJtf{$q
zA9U2Ox?WH%a^I{5dV0!Rt~syt#_*eT1hLOHTz|XmPe8@aRWog652f*Qf7aIW`0Mog
z3`M@Hx7E|9Pm5<P*<nAw&M85D4?cMe+YwfG@5+3GOR2y@`2$%BO3Gz;`lnl{+eR__
z0s13TqE$c7Hyn7H7L_O<k7nO&c~;*=IkNoYBl@ARjla&-!6PE>3cHx=M9YvV(wT~e
z51D4nyu2h|zI@T`re`Ri+6?{|QjkV>ICOnp;4}#aKml;1XYtx8rXbo3yzG^?^M=7k
zb&onAC@<KU^z>A3I*QEWkWQz@#kmYw?^>m%N=}P7_mzuJT}OEf45*!7c;pl0n1=qP
z;%g+;6u%oT!RM<ml3G$2hS00B$zze=-+GNHsEhNhm_Y5I#3MLJ7x{}~XkLhOy4}Cj
z6-+!#@*H8s+z!T{C?)D#$cTQF5)qWg_xA*{eII50z$C#kqVd_s^vJ+wn=E-S$wK;~
zhM1gG!|(KhRIr|Uh1bq0yY}LCu=<lC_So9FMcS2Sp(3SD5)7HIeXvB)7d>97opm^a
zUHRht33h8b)(DEXJcPrU`K2;t@h;qwtAFoP0SlkIX)S9%#x}N(2U3U%%&yKFYq|bX
z1~vAu{4WF|_O~S$8k%s$J?nt|nXy$!r0tqk>Bmte2K9uApMcUt{$8IG{S50C#db1L
zJXWikPdHBe8*X*FagmFpDh_XFgVDF&%m4HI2$7;IWvdk;N1>X&jca>>nW5nF--q+H
zT|NstXi-wyn8C-JVEauWLFB^aj2Bgda4N|=&L-$5ts7r1>y@RZZG^>;zRiQED4sLv
zE5Inw+pt2RxG+w^WF}3}&)b(MIZnu1|6puqA=gR_+g~d&L~ES>&Y8b}6EAcBu2S?z
z>2d~|^PQFyAzBO!TYnK|!EO11A7#_qkrni3&q|iNUS+VL{R>U!&3+ktDZx5X!&WKC
zbPY4xkwcBS{{5r316nJex7jI}v2HM)9W6ENq@*l`?TFy?U>3ufVIzt@Kao_dSH;-Z
zN({QYISqn?Xjqz0Z?A6lw)IHwDEScP9c&|<va$I97tMftRqH5H(g?=WJCi4USDs?t
zUzQK!tSz#QQ8v<ZrnK~zUwwg-AOl0a(COVDGeKQ2&Blzy{LJ{Qdhl#;;q7thVh5<q
zft>{O8nM_n`x@i>=0)lx>Dejs^5uwVzIFH0U)U-~BkN2v4(IU0X~)ABL3-L}wvHl%
zI&_)M!y;6qr1O%0kFY7PaQ+<C#pU9&JeW7mwRK$2m?F+W6#_nF!}4j-Oj9CS?gnP?
zV?qR5#i9EY!zZ32Js<NTUv4{qwH9&B4<Yz)k2Zr-S9bJ^qnlqFVry$#oTV)OuCK3s
zr7vzzca7fS%;~*WsU)$E{u4G-PTPu*7M*YNhPCumcdb4pFc5F1#<tXnumG>Kv$NLY
zXT=0xkS_M$6U-LhO>i99*b(tzGx6&&`<SkPLJeH_`wSvYB*|S0FAZTG@*t8@ymniU
z_JSwspdWbsy?kaC5sfY#91g^lqb<qi*`yXcg45e`{NS`ND0C5KiDi-(`52X{YU8mq
zCX1=+kD%|)b=toN|EwT%_kOM_C+;?<kDuI<H%nk1qwX5q*nq#cf~NYj`h`H%#&fN7
zH}&GYO-xNPD;}p5N~8!o-~uMpu6P(cp(0?n+;N79h2=qSG#fRr7X1w#!{*R)lE2a2
zjg^xV1+b<o{Bk%T+L@ZCKUd<61(UXR{|%X`-uow+p$!fWh9+uFM|Yld{Cvs;2D<wd
z@H^D}E`5~cLEOfTFz4DImY&h*OLE5`KqUYCz9wijmF^U3$VE?&0N<N9;xcTe<<Kl@
zowaT8oU9+sReJC~{nk{y69>>HUZ-_+Kp4*h0+z?M46AM9qNCBc?uMwS6q|o(%LxrY
zt9VftZmTzjUe8rkRi7Mg8^;f<HZYUcwP3M8K{8~<GVWiq3!ml)9+qJX6YL$17w5mT
zA@8(QSlTS&u)nF3AN;@OKr@Z{w{H1r7f&?A-Y?dybKNniKGNZ&WMgH`vrD2AaU{ta
z)-JSy5<!FUot>TKuV1+*OASk_yx<bZXlXgGUcDL<Ydc@BfxJ68K9WXt81cTVciLdL
zcKH1M%J3IQG|oTb2dH&dPOd<ss~}n2U9<Vudf_$QKgp!k*r&ZSQ-%>;G<%0}tiLbZ
zd|Pcv9Z&n3*dpZ~0iYp1KECap9pAV(s#LdiHj4A-F%VTXwc!RA+ry)y_U>*xp2lrV
zgkDUH_L})%(O5ufDUZbQ4>hC}@au4{(q+fZDN<ZN3<65dvI9YG-70)>w;w(&Es`Qm
z>(Al7AbGXb)1#y0-<prO0eBemQuD%AuGio^V4QS(bkGg^_jU)l68+VyI7pe}7gcOL
zyxHA(;d2NYoVOXZE_a3u1K@CXMs9c<@)BPX3lduJAP1ZuvmX)^)C$-tA~{)aOPKE8
zaHLg3Y|`r@9?WQ7EI`#D`@2Y_=s7(_tE`)UiwAY4ef3~YPG1}k6u{=D6);~TsA8z=
zGn8Dq&wuW&eS|`h2F%KB&=>?P5nbc(L9Lt9l{+U#-=s<>8M(NK;E_>ZGb4QQ;sq~I
z>HcJ4a-QZx2B2bm9*0jHzl`8OUAeBMxIBRZ0ZRV>*sAMJC)LhD%OAQ^#0}i=G8MO8
zYflslnvDP6vh{Ai{O7RSVphy~lNv~9L}cW%SFcEro3NG~>kWS?e@({oaoU(b6Obo%
zc5P8g62V~?g-m9u9wY3jF-~@Nw}3Ykh?&D(?^tRNq=Od9C}RYKCnk35L(|2&x)|>{
z;H{*WE*bdQz6heBaYti~JJ*K3k;XmBYP1+%!b4I}+eg<k))Qh4T0ijrH~AKjRa|7M
z*;5n^_O-OMHfO2{OifMWg={aOu%SdEA|lX;8-;CFd7)6NRL09o0{F_N^<2fn9x_)~
zSEE)R4E(caZ_CI8v<nu(KRv6ht+iOItf(;JPe89@q&53)6ny_GDhdm!b=zYHl8u+6
z9<#MjYnL^$TcU9WAKxb`N-f6}P$ST!B7u3GF*22pZKvpKq$5<Ezeqcf2}w!cPSe*l
zHeJRy9Tw4gFbqKN$LHa8iObZ~K|q#o=Z+drmgu{FYdT0D{qnxlP|{sx6&Pf0nimZa
zO4%n*c%8q_1;cM*BK+5`si><zZ}vRW{FRIr3$#iNv|GHyW4Z1JJb#W2Uq+x9xPI?p
z*_y4kUHEWf3oHn*xUki(m(^4m2E(&9KRhhNN-(ME5rB2sp;U3ZFC$l@qoZ5L$M;H(
zTMm~Afbe!KnWO0~JlUcuD|p~RVPQ?B{iw0+zq^oMqD|zRdj7@&YzJi1|NIrpuDo5{
zH47`Cohk+f#7ze0kQ-1`_0C%_vSh<e+MeOuQBsnHx<XoqhK8CKif3Q2{D%b1o!`O1
z0eZLH&a$-F{?vnbfyZRuzkh!PO?0}_oKZkv?8Dcsn&S^{FDF!z4j5q(hfwjzJbak#
z3H9Dr2AV)ecQ?8lKXG#E{I$2iXE{+McXaY&ROyDxSK1E%sV!!CxVSojFYL@Y49#mv
z0E%%H<pWfBJs$R<HN60GIg%@_q1Q7kI0>c-pmjFx4vHc^AG^armZ3wR4=}28JUl$m
zt*{XEbLsDwcQ+Qcn&PdkuV>)qCXQlJdP9|#B@=f0)-4P{>ltj)Tbi1bZ{NNxgVsqa
zY>y3})g8m3wYaqvR#sN#{vp=AR1o84>EtY)52lYF-nr$E;gTixUVl!GZ+M@GnLKzf
zTxqU!1fA0VTg#tI-Qkx5Yifj+mzPN{Uk>NG|0cbviUN5R5#hVN{p9z_K}+eFyB_ey
z<Yd~1=H?%hY@6HOXGnok6ejGjsxI;p7;rLtSMo*k=#<-xz3s@B3xAZg87BCGYlih=
z>NE>(@wMw!GtDNs_iJp(C@GmiZpj?|^6>ko9<-LTva-StSG%*nANzH_;U3)lj;^j3
zAn3s1LW1txzWoe&b=muOxoSg_pf%aKbLYN{<b-_Qb4!r$tdEY3ebH$WaYZWNPN8P;
zLs)>zYilg<Eg5M9?4txea-~(lp`mDX4#b_H{v;u#xw*MdS>Y1!3(zY2+RsT^*{<#X
z%*$iFaLr6UW-SXA02vh(?3{v03a|>8zkdC?{OJ>u^-L9MlL3#4ii-WmE}|m|T)$h$
zRBqrUw>xG7iC2Y%g=1#+cXtb`=C?*cKC}4Y8N7X7^z?=d+|In4oE7$c?NOFqxL|L7
zy!unU4SC&s1yc70=-+j)X~am6ZvA`u$HC4X`QwLU-IJx;IV*5Bim7633tmUo#S7y1
z^^+LRe+%d0;VIQ{ziwQv{Rv3ctM<Ti3wwjwT!57=Zv5Ro);s%$a=bO!G}+Q6eN4X!
zHdgS<@0|4OLJwAp=>x^Y;Bhk)B0!!FXyoN4oi8lXh?@RmlK7NIQBm=5z}8ER$C_N_
zW7jG2Tvy*TU$$}TvJ||yx=uknW%aqix$2k7h8`EXN>>L{LZCQ|=4$P9yRQIe{EM>(
zJ2qpMH2ohUxTO8M<j<;=<*Ek9Rk3k#8N|i)H>gply%(nh?AW3_Ex17=+#j<;sx7Z5
zzM5Iy)G`J3&BV*6VDLv_{~X5^O@AgNRc>ke6G^q)2I#wE9)F?c5!sP{Rk?Oq$7^0S
zpZWL36NxJ83#U+VHSF}`$94M+&Q$6~WK;Z*yJDgcG*jaA`Zefjj6y<M8`SFOKuw$=
z4buH9j;lWyI;nAu5m_qDBq8uuO77jx)%d91JW-d3nKYmYG&T^FpCf*ZCmLc;hFAUZ
z)Y<Ake=o50NqlAxGJG|*+y;VX=mH(ty`v1Smv07>^($T~-hY&m&-UU2*Zg9r5&km_
zY^-gJCpgb)CPOt#AJc{h<qiKu#l+&3N`$}c8wvb_k;r>ihkdVkofJ0o6r{(v9}`iD
z75GHt#e3ya*xcN9!9TH4yRrD2zFGJB&2lRE2;9FtwmMVQw2D}p3zLPlqvVWA+T)b`
za)JeBn__XkPj52!YVv9w4yk=SF*hsg7H{_AYh*rFX2@jz`yA$1Cf>ELuU3|l^c#>D
zlsrl)<U6~-tY|%x-hwZ~Zj_CLV?6PvSM%{aJ2lz+!t-*d29B;d5IW+&hrX(k*2iip
z#qXoZ;Oe~fs9J49K1^Xu;!A#|NjAcGh5Ae@LF-jkk76HB5xUUAlk|$J!Mmt2+S8}V
zfZRkE*kk|6n8l~8R%`FtTjHDVi`@9atL_saXDr~ujl7_EqU_@-XKeVLmDXQ1(@B#d
zbM@uv1HRJB%1BX0>4S$oRD7XWVpt?9_T*tCo}3)t=QnG*mobcRp3n-VS*{pC)yx>7
z`N!BZ1)<<VH8wJg4y-8-k&Y6&oRea^B3!Cwg*n}tu5Zx=)UWRP7$eDu2Z7OLiWBau
zhxS|K>-AkKpg)M67Uh8Qrtxqb#aoB=J5F`=)~~<CHY+Ml;im_x1}PD%6w>f!zP8|}
zCZ{+F^wWWDLSj%Cj~-BZy?IlpzuTe<$pwcshs5CE%m!ZkAuMf%R%7#vmvqj*9(+Vm
z-8RQZtyYFVbLJI+e<{Vbc{#n)0JW3BMluTZiTV@`B_@0xGR3z#q`{=4NHruc_|Q~s
z18n+hcG;!YEX1JBnaI|QETd>9r&yBjs6)1Q=P1dK&mZ}W+gjw~{e+hpRE-eyty8)7
zoh3?4S@#7wrlY10IYn;_5muyZ;kV4t@1d9<a9-t%8uzZNtjAA0-B4A)eNgX3Wav$n
z(JMeCheEZSMN`2{Go~)q4e2XnnBoX)D?{s33`KUMP}ZU!Wemoq@$BOahH#rE$Ag-K
zne7I-rCMfFEt{@Ws|DZ_vl<x&(>tlf*K1Ox$pX8_N<#}x7R;IZy-^IVtNW&^I}5)q
zA&uvGtzgZTDu~ecvXV}CFd@`WB#&5_UvRtgdU2@ok&ODQ5@Nllc_x3q(@4Isckhma
zK>T^Q<DREYDACtkB1%!j-w6}{YxAgFuFr&AMi}L^iDVRB@gS_v8wl!R&SavpQ$6$1
z2MOv?oLjs$#9i6!xDS4XbOsEm$rL*5C8Pxf(NLW}b%m6m5$~7Pn6**`Ug~$wbTCix
zde;1AHVyq%myy}I8N<u*3X^W;Hj-mRdhr>Cx=zQSV$A-EAYtXXu7|gTewy;WzA9(D
zKttRGHJEu?`4-EWlHJ~|0TIgYHEP1ti`;Lnh3=7@DgMU5yHD`=LG_}7N)U#TpZY^`
z-)F?$$SZ6_O|4UkhuXuE_qBZ+qjFini?;YT=x54MPmbq|)+XMb7USRzdrSIU3pQ<=
z{SkIju_ouL86CrfOo=#^-he%X@McV1|5;aApKc67>~yRrw9o$dzWo!;wz)u^*}oS9
zMp>fZ-zy&5b??a0USjq6gQKxBuaSf3A<;Kqy>^_^&<vQr*p;9B>m7OZJ>5c0ZCw9H
z>S9UvJ%`GOgyjMSa-Oul-d?bj&G(*^g|oBpIz>z><QhfW^~i}_+ZhC#1m6n&`^;+C
z7!Nz`ddF6+iu(#*&NeB9$cObEr?RKQ6tO_5?`>QIRs6cr-v^q`niYz@efezd^-FdM
zn9ZtZ8`8^Igw<25gJ_p#I|fF{OM`A>Vhi4pzO@yE3@YPeoEoPVVW-mib-rPl$GH^E
z<Tr1X5wzOm+Q(~#sdW-1ess8i*@lbn_M!W0&R4-IoeQt!HpHmmpqA)^<_&^n*OVSj
zQ{?n=^=o96bs?73hl1@y%?onYgM$~|aL>!V@6DkY<Te#t)4ZDL!l72I*V~yNgQMtH
z_c1{`hh7eawBqKt_kZconorr?l?kOLEg4W5YpSZMGL_5c2BWu27R4=ga`=(w5g5V3
zi(4Hil)8Des-M1|Uh4jjA7dhNm8<%lEmiL?NE1)SO*__J8DxDUlF_jmdQp(YseL_L
z&W77^Yg2;oDiOsS-y6ch;!CTm6QlF<`WvicK@?O}U_x9>K%i5PW1yd_dajtbI4KE9
zx)Y%VroBVoPO10fl+3SB-QBZ5bl2@pm-z(V>bu_F5fNOKN|mkm2d5|p)+y0n$qydr
zf8{YhaWp}fqy1?!?%l@5{$MFJE~>kB1yr1NG^`M?TkXGqwo!T_uj<M^RxWMYrvYwS
zs23L>9|S(2;FHW=T2CIpYMmUVjn5_xz3D)%Crah=NUE}!r^yg8vVY8$s_YYj?~M5<
zQrhZX6RwT$zkKVU&&U7F0{qj%j^i=x0tgiZcndUh29UYYsQO(5<JN5B@9%wJAMgJh
zOc7;dWyQaB>sHK6L5~v^6;&W$#&o4LiG%)=o$kx+ot-#J;(O`}=i-9aNo-l5v=x5;
z-W{4MGxnR{^Q!joLE`0K)7Yi~F$SpCZY8*IJ@}3|bMXb)g?lP0q_I4PFGog3aQmX-
zS?d8MidmF0xw|o37WpkXymS}gMiPJ6@^kIc)SCYPT=5hMPZ~d5qPG*p_esI@%U8>N
z3lK&?fTFbdSAl24e`1c$j(@7Z5AHhn`)XO6c*L}=K;|qx`%&sbQ)oXSvB7zZ289jK
zx6X1Ngu`L5y;yTB#?6e4uRxJxjB1qFTM1qSmNpESm;Inpx472p*eympQ=|GR_({MM
z$JuAE4T<?pO-;GmXz9ng(@8mX6C)to0P5dQ9Rr(7o0Af_^IUat*0-G3X)Y~hG*?@3
z<p*%hg3_B*S@F`f&hG_WLg*2Tg9pQps;ev)p<JilSYJH(9@nx6exnrJxl68#7)QV0
z$}@psOf|U+>FKeb7?9G@g@FJepL~N9EoN+%cOys?v%=dSUq-i%Ugzebc^x(XLwsh%
z<VS`EqZ@+};N^qX@uxsA=<}rITkjSo*bWCx%ITSzae=dJfB*hgO-bB8GZR3Gg$29Y
z!B--0Z|}py!$p580|a><82DhdKOtsjdvC83$o5&}hT9KTw8Qz5PV}u2uMzOp{nS`6
zH#20zFKr(j$mS}hJXvhTK+e}Vxw*M5&$}%60~G^PJ%E_*h2><4uvMk^pOae0FJ!5%
z%V!|UfFNjpZE?}ay;*ea+lqlsfhex5@KCZa7U&h6`t=me&CTHTyMD=u+y36igLVbs
z>9y?+Ng8H-TXB9lxOa>e?O&dXfjw0iEa}_NkS*Jii3OMTFl|^R&YM#hkO1fmp~})I
z)ZE`h(0U@Rm@A2G^Uv2!K25L@V*;g=vA4IcUULL@^)o~SBn}t-61_<e$}A_j4}bm2
z1oN9(%$1iL40&^43R|c4hJeG*@20FduToONK);kv;Ku=@x()nVUXW=TLGeRtRB&9h
za)<s`pwRK+?t&k@|9Aq~gEpH{TTA_*EA$pT@2;10Aqm&ampiEpQJ}&EoV)xIVhZ#(
zZcwAW(ZN)40v8t-&iii&(VEr?a9Av)#IWTh=ye|<J96XccP8{Fv>b2Q9)7(1N836H
zsJI^pgP@<1kda{`_=JQ-WA~ia#E{KX;i)br_UF+NqnOy7aV#tmEqB5Lk$tFLk3Yu;
z=uZRt&hPQ)Yh$1}XkFmtWyzN+Su#s8S_XE9P5p`2`%))|*T!Gh^kK4~a(fMp+SSV$
zl-Z`9Y=m#xe|xKOMn?KuOyWG&48pD3;;^L~vUPv`dYR3<h<u93d5{Xx@=G~r5%S<;
z-|VccfFFGZku_$`3LXH+ie>G)A|@U9U>MhpRJiNAjMv$H#ARS)EC=Q&cC=YJRc%QH
zj%WagfueKaLF?zxQ1Ol$*v5fvMr8}X%mrv5D^vD#*9=-YJrB=0sLN*|Aq4#V{Jb`E
zH(-Ur?Z-gg*e<+0L(UAs&Ut7Iw{>(bfb4-s>f2^?^Wj4#bmfrxPFr=Yj~7OyrG<lf
z<bJURGDFyxE?okR9RV>LRE4Fofr97HpVM=5m&`mx(5VG8Gqap8gN7xAz004eEh2Y8
zz3lWmClO@#u?qt^`H?G`;d!)w*nas0X)*{0Pha@AfsNMet}30mwsEzws1KLi6)AQv
zq5J`<8e!$b>~eXVf_~jXa-UciBCs<5nRsBg!4pi72PYasna?LaYc|(*u2$vC)5!vm
zxc+7x67^g(?%um61zP^j$UUA6Fv?w56U<4dsa=PTgYr&JBRK-2|E1V=#FGuayX&tn
zx#gZm&Y%ZBSQ|`1tN951wQJ<ynSTZmE@$Y=Xzn?;y>)*uj?v=kojZ4K-n@yRC0v#?
zkCA5mqy4R|Kh6#gQaU;b?SkJXs~(SjoxZQ5K`Gm<9F<&?>g(uSayaw{%;txNxzW$Y
zE&LU83-{gY^z~EYqKDUMeI_v)B}Q2>81Sk5FCg`|m2v$w$G14nN){2R@QnYG+UU7v
z=($pR{~Iya4h?KkSSV~**tp6&p<jzna~0z5`yHTeE32wvYH3Y2?EhH~;o*JwjwCS6
zZhef6koHE|NCo<y<*)Bv^87KZTO);X3Pf{<$IL=PRM6kwZ*Y925&w6(UCn_jSntyZ
z4Nmt~(Ak#N)c{a?vGNXa8X-agz@p+{`P1quY+@flJV&=}-p3<MpH^0`u(6$~G#`?A
z^eC@se%AJB;~rr~mf(h(h7K*AUsiIBTQMzBqvKI!(YPm1O=0P7g^2nwvWSNSUkf8M
zQj0I}d4zFE-A6ic`WrV~@}0YP+u-v_FI;$R_{M6Q-)gRw6buY%fkz~I`ugQw$G_xi
z%CK6MB#)mvtPL&|*L)~=bNp{(87mEH8xzHLpkm4OH6QQa52fbIRGeYSocV~xXxSG+
zI-j|G$an2rgLp*wgKlE^M1eDFLurBFRDg<&frz?%MVXnsK8{;AZVzaKMFk<9ct|=N
zQ+<Qxk&&K`fZp{ih@OLkz}VP$s=}1uC9Uu?_^^+VJ=)&im(kXq61TnEsFj4IPi}1a
zEg<Oadk27smgqTk3dDRcxz4hFve1&2uD!{ALdI#~p7r28eQmk|FKzMygL*e2I#eJD
zsTEmk=nK2xzNGed9b8*9Q~&FX2U_!kuoGGl?Th8w-+&H-1*x;c<8R)E`3JRd!XSga
z8yxHchr<s5!Q0u{ixBU~cci^u_Z7?t*U4YtxqLMI^NR{v2{CC~oS|1R=(!Wy7Xd0U
zWXcRY<oC1(WA4<Dx>I8_&&0_o@8RKr${p>26hlr?k$i7opD7gU^41m?gdE}^NfR6v
zcHYp?uxD_Pk~9LE4hFsC$>D<>XCdnuCg?mPIrpfBH}?2Fe>t*oah(t8WRMCVjDWye
zj}Hb`$Iy@xd<&b}X(9~TzlkjiKfmho$B%Sx*ckY2KZw~mI7Ed@{JMietq!H}fJ0c;
zlp?xz{QEcddFd&AwAM#!X6H!w(*DErYPIDgwhyT2GtH$2rEy@+%`6>6rlfEo+3D$v
zscSjRut_n2<EPnvK}jgsvftn-`wXjSR+uWKb+ppACaw0L>xHF*;DEi6>0Tf!_5D8(
zB{N2@|9CHTuBS++670=f)!BpkuP9V<N=l(#T13PZIH!6D)IeS>CRN<M7aa^*d(8|R
zCWoQto<`OMpHSF^gKP@^tv1<mIL{uBLcxyTVO9xg7^ptejv!KvH(KiIOkkJVFTM4b
z>$4V2N)~&nie3orqSrM*pJagKkE(%zLE-+_$)=ZWDuXixU)}QyhZ@ot_MOWO?<8Hw
zAIZC<SfoIDKgwZ#q!a_5jpXlbKUxWoT2<d-e-M^`er@>HVNyQkW_ZdtQDI}pl;zbb
z%F6T$9=l;;aHZdCT8@hiBtzCGOSw!gW*u>vSo%%g90d}QXLD-ETc}o4RPefd)q{js
z_elYDX6*AxgtXdmz~Z?iP>>T$EUbvs)DkB`hJkGw`pnpu;{Q<+_HX)%RHYbVL^ufk
zdl9_rhTv>=f!=QE!flRLj-1$G<23a8nKQw+j*6&#D;0A)Lx(8+zO7t_Z2o7CW7}YL
zdDHhF1FCNK3^<u)%6hLAZo7<#IL(uhZqzxfJ^4B(3?4mWR&<3$N=6A=&RdMeOebQC
zW@tu7$l=o9%3r?8niD&1^+u^`P=)HH_U}u=rW@ZqWIx$noLKKLDBcwiG^?%m()r+`
z%ctjlzoTaq*A<b|n7PyOTCMC1;ybeRvO8Y)3nx#|9Yw6J5*IMFpCZ;(gSW!MgY?El
zq&&gq;Gz?F^eSXRIPWQ6(f~1D*{J~OWOlf{^at5KSM2bcoq=8C{2639X7Qu9{=vy;
zA!+!+dlAhC6h{eGHS0Ux(#9nP1(mvNDaF5bguZ89`ZF-Qm!L!tE_vcwFmVCo1JTom
zDRkV!bS|2@ocOFaHm~H<DmN)m1*Z$_3aDGX`{iS-1&yLGMeY%K)hPQ&BM-1pfW^&%
zvd}3wjG%c&ubiC2Kvn7zirW*<D}0Lc$FHnk%(cf3BI?Ut#xP0B+LBJM#K<Kl_iup~
zr&7Elc?oot<pH!>OgDm|UG&Vi=L);RhP=W69MM%F-c1GXIZ}(=s=C#6R)lVQ-T&6R
zFvS?_VRuu_Diycu+8}6IjG)y_l@M60lCu=f1V)bR-LGJ$O`b?dtoTH-Cml@GbmdN6
z-RBYm9nyy{uKkXF>w);Zy@+_d5bSNqQZv0TU(nID88Ju{mk4)(>@;u1HR2dmD-y?W
z*QW<DFzA~N+~@~sm#DQLvI7M^d&=8nz9*~e_Bmzd19xK17@hag04XD1;o=XfwmVm;
z*;>zjenruw#g8+U>*J}Z<q^Su`@DsVI$WzZIxv$-X)aUXI2>b=i_GKT>t8I`2h~?t
zm%Jc!Smr79vjYqitM8QKlK`R^o5>TV+d3Gub;3=gM+vp}f8eX0WjxPIb~99sjcJCp
z8`&f`N(&@9g1E*=fFwIZ{bkr*ZmFu0#d7LoIz{6?sGQz@OTeS9YxdV5hoGchlst=K
z@=bet{@3ye&oHoX=c*+D7(m|8H!u(nmyj9(kdCzW@w5<DPFpRMz%Gk+Pa&h2b8P6o
zb^X)Yn%2+hf21o?Xz|d5I+OCMh=x}wb|A(L4u4-xqYbn`XR45w$aM1tMG3oat@ch%
zmM2=d0YRY|jNlwF-h2iEh)GZ{7V&-XaXeIt+GD7*JV>phsUE1VxX?1a$g?~8cggeX
zGZSW&#z3<n`NEH8m$h|uOAX(e+k;3Mw;>8>5eaPOpUL#ELdpN_Wcu;<u{)3kCB7^H
z7w<92q&nU(1)cX@M!b4(n4p|amC74*3aEIuN}y6L$FoX>@?^#tvQ$H?Sz_eXT9KJy
zk>u7C!Gdxhiq{^S(_BsG{!SM001`qw;K9oVk3pUq4>oF$PfHA%*!}(eHEiP2(s%@u
zikTHORiS}u7Ved-XclU~zO23FMHwP}_Uu`UIkP}wx{gNz6Rc{GwM0mwdek5P1j>8$
z)VKvZqz5`xc5Urpi8F0+;n%~0UL8F>P6&^aUB1i%MwvY%agRhQr#S})2P?o^I(h@S
z-Y6}Drw~UV#Put>UsIy$4u>F1QDnLQ#;TlWcXu}mXl;X%4A=Sd=YxA5MuPCg{^w7!
zcQtyw+t%OJ%L=PdWVf-@FJs1zxF{9<GgVYI<rgn%rR0o8h?ljfrEEceb%sUz%&^5o
zqVo8cReBX3EFb*XDIfBhb7Xt{<|AJwb6GMC`~Ej*{FH4w(YbTouv2hUFKuju0QRFm
zp8WW%0*V11ov8D3$a6fyA=ni63Zdk>9ezoC@!Pj>#T1bxxZ4Q3jWx(|9Z)0$5Vtzw
zY6c75Vag0#SF|B6w$nilh!X=rlXOrc_B~t%wQ?F8X#r(d4SfTa2?B%bk73#2H`e!m
z{~YoT7`JFzt6zUvT9AyC0eXbsIHy4)b+K-BMVb_Xp0|L301_G)fO!HO;m#fWk&%MS
zMc)4(BgYEtM&~T6DJo?}WG}2JSE+EzdU9t~4NC2C3^NV#<$rI0(1h!*^T&}#S$BRI
z2%nbKft>3m)rbr@3In&S-Ayp=$jgVqLhOTb$_Dwb!l(`6`%gbb$UX!JXi_;1AVXHS
z#)b=4bp+7<yFd)H0j8l)kiqF39aXcLtGxnLl?o7=PVJKnNHPg~pEN>RK`Jsb@)O+G
z<&~AIP@ZTb*!y_H@G2`SKrO{I2`&V3`nMsT!UUEeV8DkUQxeZo)HMW-J`(5!7g}fK
zcX8?zn3jF$crGXb(J-ZO8-DW>JOXmk2(VVs*lkGS2+jt;OEzdO6&^qB12<^t3^jzM
zQP2GROaZzuFz`R<B0NJ(>^w!j4(2h3RtZH!fxC$`3M}!C$;nBHZ}3x41LHuP&`JdH
zQFF^&<KQPcnUqP%*2O9%9oUZOhR{FSV%@8oNXYZL`cgUe6N%G9g*-P#VfEt-`HU3A
z+vhEd+>(p(ltuNjeU%Ea?8TK*6`2b^e_yg277<dp$M@gNs%(ls`#+cscyT%#VDul%
z24MLF-9)8F-v-J-&u~Xk5f?#c!=WarMV&bj^ax2%XlMs0pmZgLJv;N<KuVaS&Hx+7
zLD0Mgz6b2@V%^~V$LsfgO^Y;ucV6omfxrcGAhi&LX6Ner2i0d25}Gs?t?nF#q-vhd
zi@Pz}q>Ti=<?6gEtCog&{&i1h51W(7&2r_A>@NnK;f18HdTU6h2t_yb%0-NQHh<5a
ztS1z5cGzT@A`|~57k4-Q^nW4vGLS4>Ir6AO^7se&C9gwcCMKpuki^lem&1AirdT|H
z`x8%&e>$|O`PaNcy2<<e``%&@_s2u@TD<6h7_~v%q5RP>16ra{mJ=3x^FI$PTo(~K
zICbN$bD%R$CUhUD+6a+*^}oq?$;o53pc95{8wd5`Z1)VDQ8~)a9efdi8Ty>w0NXoE
zQTmeV$~_I0L$3(h%s~s9#Jq%e|Co6A^<q-yvZym5knK+3W96`<vvYG9LGnfx*VfDz
zZ2yrL`^(MEc<`an!kxEfu5fVl8Cb3SC(Qhf<n9?nWS&PTr*~lO5nZ*8md*L0goFgw
z?KZq}5HjU9Y*VOYVg02gCC%!mC4deNYl@Mdf20|z&2*~PjuDubakVZfB_%EdJ%CV<
z!LY!A7|7!P8izPe4lwjb<8hVB9q8`)+JU8rSg{Yw<nw|!?bb*}^o9UQ01Jhn7oY7(
zww!KW&e=9Z=%3{<yldPOvyN6t4gRGkVv&-NmtUdHiH^7-2xMSD0Te~+3@|=)2}ld5
zvv|nnTpc-_{{CBgpqv1WrS<e^nUzwlcqC-QX#Af&!-Oc)8HQ&?MVv6JU<?fr-Imd@
zQRpG9Kz@O?#~9$K(aBn4`WTefoI`LBymOa2U_?Q0OAJ9P8Z0b$ux_R*&Ck7UZwC<_
z4?P?NB4^vdf_FHyE<)r9=;&w>5`=5}+OG!PF7AV9854RQWT>PeZndSRu1?YX=fs^>
z(u?-b?={ICkdcicBg4wUQMuN1EVu|KiXO)h6}<?oi3p_Sv#>$ICYL+1v%0#v4BxpZ
z<m7l%3xVx>bvUi>6$Dj61$)E!4Bxfuu4TL~W%ffUd|*t~U1J)Nv&Q>>Fr48Pd<lj<
zK%IddfHXnKHWlDlkL+bn*djp0j059l>cimHZVh_;!VQYe6gHUeqe_y~2RikR`H+<j
zfiXK*H@9A(#o3LGb4wz!-7e;X|K!&T_eu?#n7FwWKe&DjYpB3{1>#Teoz7Op8XoV@
z8G#QcigaKOO)Xy>h8NjqG3Wuo6!e6@2%2*@V(AtV21;@rLnzH#|I8u*3yZwL9-foN
zhWyxXG=OU|D#Mh?G;zcBIp1oB9AQtn9Md!d)Q)*f6P@P^b`T1*wK!ZN8uh}qVc4ZW
z$>9)>I*Wj0h!!HzXaH$#`EzUwy83N4f0qSMDhQV5*>5vcPKQD=EK@3w`14#{rDt8x
zBGeV??%gvGQ*#+w6SW*+M$qFQzIc~>Djnv<6Lhq-gVMZyodLuFKqhav-kr|S^OF@T
zq#1$5lSD`WLpwa@QgX^>6($DO3>R=nh>Y&W`FWhg&<xV~q5hQ<c*SaQ=4(w*aTrY2
zp%>}sYlZgvwoU#Z*^W=jsxaD@GQ9Z`vjXq~0bBWH=QE`%_#|!5tFy)xi?6Bl*@xfC
zBtvaa=Ba-wQ2!~1al|R;k;<=|GAbaTLLLR9Nq{m<z?9-N>N(AETo+bxH!Z7JQbVLg
zjJDT@*GpPP$gWpaGiosVXds$b|62Y8ZFfk;a2FL={3nLpubzfcv`S=W0wUHcy2^ts
zxcF2Y6I%RiOFTBl&+mz9D?xm4WOQ_6?^@oMCA4BUmW{e-%FcckCu$t$4~yw@_AwFi
z;U=cU4&esEV-&9{1|tqNZtIzw|4b;ve7k02j2a77|Lv@wCsN=PEh>Jru&hxct5lxB
zLgDrzJy$U!7oo#&#9RD8DV>{Y<B)mZ^Mj&17x^iZF}ngNj7n~Y#s_=*r<R2YnJg=T
z4<qstq;@(Eii3e%>lCjjbIZ}Sdi%?2+=}INj;p1kBO@P1ML6c;3ejvDoNG!I6`9{E
zIVODA=h8D-t$51=rES?zRNC)}p4o_`Hz4yd#PibciEgg(w_d=!nStH<6epQ#u?S&i
zP1ZWQ7O<{#LfX1Zl#qgd8h%k|4HaMZ%%HfBK}bRGVV(C&eMA1opXr8!GWNo%osSFE
z!XZl-q&uOSQ$`j!S;nskDVOa=lzXJQ+N@res~FmO?azcv+z(5LGR<K&OMGpXD9oPC
zs54=ipc%`UvwY?|l6NJq^~2H0vF}$59BiDL<>R^%&lLyVp(eq?rZo4`y&_qCu8_{}
zGUCE6vMhZP-Sw5rzC?X~UGaD+)QR<SUGYt=DOxk%-tzAHM)s?hKcQ0n@j2q%`Q`6R
zMh^-LTp6^2j;!|{%Uua0!jArY_q^_O#UmT;Rg3@+QvT2@12${s1ReqYhFiC3O0usn
z^tM%a@zSP7ekXC&)R>afh-WUBW6QC5#J90>iL(gzEZ<xU{oL<QoAJ^0lwH(upv=Fo
zFui9Um|1|<S%txNx%c#li79C1-SH1$hDKHrt5zFqENa5Bd<Eo{!LWl!q&i1&I;#p-
zYPQKE-}7+<Ld2=EhvO!9DhVEUmEB!r-QI|a9D4!LJIC3k`?*(@HTujr{s_@2n8c{c
z&6j0Hna2CNpr)2>R?2IR64eG@-et>SUpM*gHZ|DSsxL#LCcvT)oIPpt=x#aFKF>xc
z<4_8-b_ki;robDio8?T^S2a1QoLe~WO5Y*B@#10&H~z<)PU5RQ)RnVlmBqb~E`GTj
z^EQ4Y?Wp8#k*Zw&#g`vXw5}K!xhWD4X|5=X=0q1Lo;hP8Jd$urcJZpOW*0sF>%4_M
ze&+{Ef23_+RpRQJJhG$w9a{Y;3xB%n$vcx9OwL{cWfR=A9Z%kUZM$NwXfp{DqTP(I
zqw7-zf;HsWoTM%^Y0}X4m|u8*-c_tTPG=MDt!e=SZBL<p91dm}{Y&F^(@KIWypwZ>
zgf|}Y(N?wJ5+2IH!Rk-gAZ<_;BL915c$Xz&hy_IpF{mE68hO=DFQGqWU2c<_Jc&t(
zHeijg3Pr19>3_-m@pGbJQsxqo2kHgP<$6!4a^PUUI&EIDHl*-`Exk(0$YL(@-r@28
zXBI#%KS?^HmYVP31?}4^wiX}!6$I0_&jvPN78mk~<yg>ep)X=ZJ%Xd7vpew5`FN(c
zVsW@);<;IMBhqQ`$auv<$5W|oCNM4A_%cSnbtsxY_-wL>!RCe?F8v(y!IO-sPl_^8
z+Bxjf@PE;&ir4I;4(oM(BA=Pxk`plW-!|{g9t(R2gt0$GG!E<`QPJp)E}NQbUcV2?
zHXu;{1?F>MIN^z+a*X3r#C1u1*Q=PQ(umpZ^ekU)>aTdWNjxyHG0Dg}?7710Rn|2#
z+k>H!grzreAFr92iav>xc2y?V&f#|1oZ^FO{<O(kq61lQ80<bjGYQABoZzgetjyPM
z5Ci}O;r9?2<OV<6p}j*#hX6PJ8i89vbO-*fs!8paG-?|fqpYj9qkV-APEu#a?M-ql
z=uhvD(|jj$9|<X$Z%S9pI~TXak5ISy7xfhti5YIEh&XZ2#-^kwfGWWE`t~lqFo@+e
zmoH!DjEy{|ac)R~vFP_Orm7kaf)Ip?17J`@Gp`@EIZ!N=^QTNqOyqtv64M9-!I&<u
zSwD5R2<Z|G_X}7}kw6lbtUIozxagO@Lh>X-dAKk(EoQ8KO%%HZ)*~f!fp0L|``30b
z_4F}#(7z>%!+kz5iLIG$uT!iEk?5U+gIt(H23PA9=*|di_u%IeLDU0c*`fhUGBPp{
z3f9UDg$#$pug{F=p!QwZpC8ZF@`2@k>Q`eJL9iV%tT1AZ0<?y9{FDW%rn|cXA!`0{
zZEcNuISEjNO#+O~pr?1?<q1A8-HEx~%TY=~Nx2&IZDeHxc5L)~YWH`zbikmwAc~C@
z-;Xm-eTthj;M{3#I$m0J1D+~d&KQ@~l-o}5G<_Oe)6e*a!OqTNa>4*Y@9$r}@#H4E
z37AuucdV?6zy$4qY)B3a9P`6F8%Rm(4nDY>0^T;MnZ3%$C}q>IB{*IFAh1Zg{5Htw
zJRsY{Fl}-&C$K+zP^BTi8ww`rJBJ~078p6Thq;|IgoM$sNB6?mKsMYp^qf6R1ib=3
zM+b)fQK*Lt&7PR=V7BEdBx%9x;fB%V3fG-w`#uWN$76XBkn9m&kBN?Eg0Xs5r@FE-
zW#odORlIzvm=4S{GhyKpl0dLxy4o@>C<wSoNL*Z8k$!_F3I&cd6ECkaM6NZyzWKhc
zrJH=-4gwVDu)Y_I5J!#;+YEUjEb|%YQ1s^r3@;KK%n;3!w+~>V7uNtfat=Uhq}oy|
zfbha?kT0R=z~kh1-8O<r2$=IS+}_@%zkWRi5Fqf7>Bgtm5CHQJAt?gzvBGSC24pg7
zAsbqTXAl=qQBf(<tv*Y7g@-5H<-^lJAOdLT$W%`N+$I<n`Z86{c;(8K?ANbj@0&da
zgrC4`d^@2}S%6j>#oMKvt4N1J&+A~7f&B=U;FsAN9t0+0nAzE1j2CLfH54=KsmaYB
zo;FX7Vw1?6G(L|9&#ek$UVaNmDovq_QWc7VGz>X4^=ECH$r3u?D&W-vT9tw__%c^_
z4IP`}=9X5nhBs7vf>~x$7%kQ=*3>LD7=UGiap&GWh&soCUIMg#=KX7hi)j0qF97Dy
zQlLh{&vR(L&%R3zQ!3p6D(`iSmKjTRw=^|2vcgwQf8lv5s_qb;=6CmanmXLSHFZOk
zJ>4A;>UsALJu~hIL&O~?Fi`LbUO2I0Q+Ve%T2)9QWeT=2^*s_kzMc-oM%K5#ubChA
z1^Nx_CGkn;(=2xclcPcF>MCw4P#`53{+WjN2EY)$G5FzCmXpLj6UBdaYlp!xz6K8s
zfb(-Gjt7z10Yn#7Tf96$P~E)4uatb_mVv<~P<&PZ{u+ILp8;<%;0F_^EA)aCV13#Z
z%Cxe(+;g(`4H7g~Oui?_#>zm1>JS`mIjfe#=IEN@#$Wm(KciIFyK=<Qu%JNi2TdIp
zbAm>z`eF|b>FQktqnLUT&BB;T19u{y%U*}R5SQVD$uM{?2&&0#50q?7BX}(XpgCc(
zJ|OxZzkKNdMokT6&iK>ga4AsOX`KS(7`y((SxCIVvV};BC^}8UqLd20WH@?qtH$u>
zaL!818Suzg<B_vQ&~ZG_^oAP?t|u}g;+BjIF1-B$EXzolFq&Z~Ye*Zl12%jI&&)Sd
z$A7Z;em6{O^vyfx{L-h%MfZ*9dYq2pDA5OzpBDJ;Mv^ud)ZY-jlw%_hlQNYL(WDVL
z8EA%7V8*ov5JdrZWaH$Fh6_Mbs4A;z)y&Myhd{63Jq`3g8yFbS(ytFX=61DLA7(4z
z9Rl}Y_`PFbKmktaDhx82RO{wImI*x>2pVcM6iHv>(_PdjNpjH?N$(FTiZD_S8Ljd;
zerXg`GYf1!-(gNIB<LO3lPe_+U+tsSJbo^BD0UhW(FnW>3c{a;@%E4LXjvJ|u^bpF
zgH^|<B=IvFN+-4f9$gHjxwPI^hhlkBha|VoFBz7es(7YpUbkX_yqVb7>H|)DLhP)t
z1;+*5jg)95^PMl*{@iG=npgQibzP<s8s+gol925<bQL+eIGBV<O1dBHu8INEdw1Xs
zE_6dy@RAur7}jc~ZilHlooWk>{3vwdq1=4v63ulB6!0Os4e94;-X{sbPe-9m%FR#e
zY9=WE_&o(r=Ht4qlS?J!_7dS0G3a&=n>$C<mfT*URWb+!pI~i126x+5e?nr|@{?eQ
z=)rVG6rUsRZ65@icM7?0awC<R@qBTEY7PG>B+_pPIcRws(n^+umqitjxI0LEFaP53
zICFW79du?0C$+-_&>)O^%Ap7Bw)AT1??p{Lr?4A%$MO#Mz_@k@U)<-7k92yg4}o;)
zACeI=M)`!hWvT^Cr;By$dawawO~OM;%wyl4;HLhC6xvADnnp-4UW2(m^cy}Dj7t3+
zoQ2}znVxD8p1Z`BF1~1nvEe@(MK?K%JI5oceUs3=^nRJ#IFi`G4h3kzch_EYoA3R5
z{Br~0ylKM1OgR+N;Y-uao(+}lwWh8*XRW(<?^}(vzZLgUV0TNgW<~ZjEPdq0dH?=B
z`*07LZ`s(*#Hr5$E#bmwh_2eJvl^I$b<?q5B!NA^Jk0-5D{*a%OER0A?z<?yi%f5+
zM>cOK@?~GizCiGJ&1zGBWcG7(kKFmJQ|#Nzw*Om;(PMk|!m<Rd)u6B_C!8fI6XkKb
zklPsU)8Wo-&TZ@!rb?41q@uPL2y)BF9}&7>9rFp0VJH!xSbEN2;gJwiOC{<Z*3{ai
z*AWDg-wxXo(Ntl}9c9vlcISW0CT)?Xw5(6)jm<n1{{F}?MzuhIfU*A;J-48a0fjNY
zbWc&(y>B7s2?Jcn+6T^cYW*>7a{W{{ip^2X8KB8f_4YOg>094fzA-+{8z%noOu{(X
zcI9{nx5K$hvbpd-`V6`iS<s}UXrm7nYQR%$O(}s(bD{m!&!yGx=FY4+C68cBID*!#
zJ6@pCH=U8kjvnj;Jy+{1qcdU>b#?nT|3xBgw%GpE8nxUCserU!xnmrTSus<OJ3E;s
z-%s82;rp$KT}sff%J@)yPkALennEFTe6NCEKtQ14@a$jgCvA6;Y0m5rx$%%(glp53
zSVWXL$3{~y$yxyxbtTNlpxIMU5N+Lv1l8Asu#kDyYn@$xf{e?gNl5KWnIk+JN`-MY
zYq#tBbMBVt(~8%N^Hou_Ek9;!p*oP0ih*6~MR>T9sgzd1TcGYeJ$1jm&z&AwqXcRX
z*Hy#F-||ZN?yrQ(Q?_K|tW*@Yprd!ERnf@g`4>m=A#u0jF)|@cK5T<K_E<QW3M!Eo
z@yD9W3eVrb%*MdOCf0tAB}ni%yw1D4c>de7M^j}>dxZM)CeGhJC_q$aA6>l#@hWV~
zUlND(e2rTx34Z)6m1BcfiEUY*5D~t-8~JPUXpYJ&bk1|hDZxH~eZkLvK?l23zG1(W
zeQg+B3uC6KcVf+AcZ(u34cFYcKAQ>(!%d1V2qtq+h#Gvkq`E?+p?HUM(r@kY%=<_O
z1hd5ZiJZz0Jvg#z?-gd9O9F3esOQ2mqL|B|nRCnGU!U+NT}>wtgj;K4e7ZjDgA`(i
z@skL%DX4FA%cC-*q3t`hzhCNrKcJ3bNag<7$n_R~ak}Hl>kS7SG?;W^96_I(ja~Uh
zPQG}W#!bue_wH@&t7?Fn08Oo;LqUK<O<{K#Bwnd6pWO<*EZN*40<I3=R2gu>lF2}B
zJMI8k@`8lN4e0ZYR_^f17f`v;8#loGL{N~2TfDv9_BX#wtxcP!<s5!&OBA%01M3Pf
z($!u!c#9Q;zu2$8gb)wB|HWOwX&8OVP6Qzekv1kv_ZJ1Jq_kk$Rh84I20sF=oSO&Q
z4S<aUWBvK>n*qw{RGLKqz1W(mhSxrsfB^?%^Ze$6w7DI^KyD1YkDX3-!oBt0SOY$V
z8E1dUG?SB&y#-SjUX6gB{DZ*dc=-Z|`F9l*Iw6wvfDn4PFzC3UbfT0E^IxZI!7=hU
z+NuHZR)3#t*w+B=X^E;;MJPP`XYoYed&>4Qhvbx@CX9hs+5bMY%SVsozG!J_2@3iR
z?{5LD{6+PkueX=1VcsBvKSb1NJ$lOOP2a?<m7uWOk4FjJKu7=^sQdR>{YA<etgk_4
z!vM^j)A0*@I5|jX$`w`4ZrN`y-V%1--!xqTyix?4-Wm{%PB48T(9BwGF&+s6@6l5q
zAOLlSfFKGjlxnwt0fzAjFdMvW4j$f9c<0x>O@M3*K`=!L`=0PbwavUPOzpYrSjFtY
zBZaB_-oUswlIT^If4|>wB1Bd`lIaC6Ui|c?<w<RJO^=<k9^3;9?!s|7D=SU_`eTJ!
z;c%LfNl64~^B?lZS0FVHc)pu=4)R*ys>wyed_gPdx7e-FfgaDk;R4j#H8~l_ruO=V
z+fRt9%78cr<V)c3$aD0Vvb0o^r-uhR4(#RS_3}zHXyz;bqq+Bv=lXBohu^kDA(f1V
ztZbDnrKF6?p4miZGO{WqBC9eRC=%Hu8Hr?MG$^A`gbJCZY5b0-&vkvj*W>rQ@5lGP
z@4s%3YkWS%+w1k5=Xo5*d7O!F0hdE*`vN*HlkyW=D20z^nJ`l^za%Uq4nd&~s`R8-
zq4~pA_|=N1Cbe;M`$NwO-zeigBclb)$TikD3y}`YB6t}Bd+oQHipZD1@F7gxfkZ%<
zZ3=O0#nR&6YrD^$x#okS$u%T-n|Sy^;^8FT`i<d+3Zv`Dzsi#Nn<EZgrFs!_0Dt=Y
zUdgWFU{tYc8W|<J!u!Ci%oVSu4Wki+$;PCr)VIn4xy*1`uX`Le%d<;sMeiWxAjCW$
zUvqOa31|QT$6*E`3k_EO+2?gNDM<*x^VQngJ=c^@6@2Y|cmzsYAqdwJ5u_213K)F>
zas4sTD-_JUQP~8td<X2kk5f~UC~B5?sC}h1P(JSJReQW$ri9hk2;TpXDHk6fhItm{
z&JcsGIikFU47wZq5elH=kAJ&T1yR9)-<fmum%_D^rBtb@sd-v4iHWd(XeC1Qj}K5~
zs`pZN-9KyUXj@iC=ksWfa{-N^FTMp{lUY8x-{jl<{~}kT@SP90j=Bw!KRi6c*b9j!
z0D;#JJ*+5Pa_-t-USI?uamsxEm~kIc5*$P}kj7Eqa)k<b4$Ls+7ZyvlRgFqxvR>?N
zWFQfLEwt9~@I*yMYDM^%nwla(NbpOM_e}3QDWd5pWQ1L|2gk`eB@YU>#ZgY#sV(1b
zAS}f>IPL_n0mfu8BREQnv602rtwcHcAa*Y_a<3kr4m_}Z7+D62n_HmK!=5L;aANQl
z2`(+&iPcc?cd|<BW)^7rKG-QfLWT$1hd7i*;|RSb>&6wUJR5FTgG5Skabjd-KlWdR
zgJnKE4A}3pP4!nLRZUh#;=4%{jJ2ut^#kBgfFT(t9~#~{(;yD(47Nc8?hKa%Qz~(|
zBb7VenX?w$+Gkt~NS`fz=MmqJA^@(Kn@6hs1vSVKKFC(&Ap({7S)RL`Y8i%DlrQ<b
z5B+Pk)b7f?Aajl&ht(LN^Ed^YX8*UW5Jx@S1%vS+oFKKD&LArNj9~W|B5*(0yRp~(
zcV5^AGZ#Y8fj=35n)f5JQswDdnjjp1pw4chhMYi3IFLRIcia9x!o|OSGDEzuE$5`P
z|6why4Al^NlF0X*nK`}9V|l_+O5nfv`}6NV<AvnE2w#=XE`CchedH%iv8eQZ^7?fg
z#(1j4?&oBGD<I<y@+YjX`Lw)z=?HcX*H5P2RKtT;<l=SC{&FO9#&qSjS{*iefgjt?
zY8{jsiDe+^TF$vn=aC29mNWxkxyXS<))q(~-9pP<P}EaQssm(TpB7VJ0(k}odAm&=
zE#CRlK@}vWHdwa}R|T|K*^n1&LuFzLk3GEqEs(K<w}I^nidarJ3>F!Stf_te{JAt0
zM=j1j)N`zEIZ6);3jVEILr|{KRcLht8vkf6nRKLbkZoK<MgA4&U8#v>9a6gg$}-o+
ze#7-LfTS~O<F4xv*D6@Hx3|y3KW={d>1qhSrSX8cpq?SQg8H9<fGxNcHX^TOuYQE9
z4XWZ0RAIpbMij9{SX$a91Qy;Am1$T3U_PyWRGK`-z!>gzE$Ley$A8iG>Tpsy{|bVB
zVIUJ*4u5@<zJKLtf7L_m)JR-wP*-cf!v?vbCMKc*l3#Kh1H0Ld>lR7eW&AcaHdxKA
z-*X1j$vz?hpHt#7hiC#ogdm(3uEGbg*esvmM#SV3iMl4xHHY_){P||nB2q5x)&ypw
ziMKLwzsAQ0rOFx@I{2eFWWO4LoKALIoKk4n_BhDXHtS;{FbharE`05;>h^3y^%@_l
z1v)ByTtIJLf%IPw9;B`PMwSZ_(K{3s%@8i=k9`<H<dB5gi|~W(89~Qh+}wui9f0I|
zlsv_N3)S%UF1@LA>V;=iVWCHaV!vk-@9c2g5lz6B5hW;zI&Hcj`55+lH)grDr5z4^
zB|%+S1hW6)=99958eOrPS1OmUE`#U#*Z9lIzkmO(7prt)U{8c&*)e;2`D3l8hoa^9
zckV2GGb`~zDrorG754E7-zp@(2Oi^8(cB$ambZQXrPNJ<(#?4yn8mB87gC4vR^$=V
z+NyW*Fi-`HZI1i3w>5RcIJ1L5apn<K#I$2~<1X_R9GLZ|3TL=0*V|~%tCEMOQ-mt)
z+0>bzRqSi{4IjYD0mA={8_&*rT0*A`Fv{5Nv!2{tB*}5tu2uY#g9I$6KhDAJE}2iR
z1Q}6MqHLz;Pu%Z#D-F;?ulpmiYD95~D9kcjV`6xousuF;k*1PAd%*VOaZaXfazAs@
zSDRex51fIfLH2OUmvfB%&iyr_nQsn>DVm0DSpS&gpwGjOZMwkG5mtAeScV(rwlpmi
z*6~*j&h1c$vXbiQxyhSE_O5}?a{A}KeXCr=)Rmw_8jEvRR@ObYb!;+NE77L%EBpSC
zj<L|rod!aYV*6l0D8f4YRsN07oR^c66SpJ7ZG%IZBt7j{BaDZy=zlUEIagr`iwYGV
zU(OtM@W${%!Nbb!jBNP$3CcBKHTU=FcB>vcCJ1jt_ZKlk0VsX(^kvKmgAPa1r~03_
z4}ZIP--IvwIgftkD_(WaSKz@qVMCcS=gFd}5c%-o!?FqUdIXga*ZcZ%c84woXWm>U
zFDjqxFJN82Y186*!h#s@PECE?&Y`FzfkAmFQ60KRA#V8>&_p65s@;C;2ICR2aH*99
zIKZ&P>mO$aNGq4!!_sm1LMLaRcwNYp8s}+~RPwj({(o*_a4V?@k02csy5(tk$G?XA
z9v{hX-mvih??C?4@faoi@*MrWm%coc!b7aRYsH1>4dE=a3{n;sqpy>$m-ynaPG0FQ
zcPHWy1W*!KQ>T1|yE_5O!6P%{(2XVKGqZp~hfq^EbmhRt+c-~&G6#{qLK%t);!#Qn
zaGPiRtFIE&V3N9JK!6cb;_lkmX}LO>t@-1G1T!n=8U8de>tP>-8J5GnKjx12t`XE8
zh!9G>g=^P1Y668#wNIahAU?L-$C99Ds1XRZZ;YO`TJ^lLSdbg@&$k4wmN_T>5+x%h
zrA}7>h#Z4n5Zl4PZwYm-DLDHT5^MfWDj}0<_NZA<ht!Hf9Khg+3&$ASs6hl-LSkZ3
z_y8dM=h9a${NJQSH*@msrNL(H5;Xm@U#OK~a__o2TbgQC_XtO4qYGsde4YJeR>+y)
z4{LS12i~nMxEe%`t_OVkIu%oNvLxAl^kNa`pipk~tI*SJ(vD5uI}p68s%7hEy>RFy
zWD<#d3??;L5vDf6iz_m7*rWP?CVC_){jO}<u%Q`1v_*Oh-q_(ywr<SGMDN4b$Yx*z
z)N*;tKAv$q!Ur7&DEKcvC^`4iy`6-!?7PNlT_nwXAltE)soa(lvf0qLl52l&nOE-*
ztmb=$xm|{xs@n{!ONDUx-rQf02%i5!?0%C}udv-t)aIVRb>VReNdBI2;YMg*`Jr15
z9v-#_!Ltu;)<|+<218*7Ro~E%AiQ<+=3rEaFcRz44(K%y7~&X~B*w9Kgr6eC<wDR#
zOGnoZD4iJKa<D9YpP3;BvA7Kt!X!Qo567Dm;jR3cd3jJD)<`ia#4;M9B887t-oMi$
z*Z<zC9%T(hgt4|ge96@C&3;HiTl))(iZ0`hO{hAuzd=Cb#8-L^`MzsU8>d61l~=r}
zDl$E*CV8>U?Q_|Lj7t}cb@yPsl5|Gl<nY1J7=2BP-G2lC4;*H#R(IdgEJn>2EVN!N
z`S**M(PMF_)07Uw)d(RcN$Ig&9P#>~Xs+SXA%qF+ay5a-aN;jfICiWpS^CjjmpN{u
zViXdhq(m!C<uo*BnI0b=W1OU+t-^gkyr-XEmx0Y}6p-_1jIB<tkvML&W>{nWLdhx>
z9ATNQf@X*>tqtT&F!@dbw0mJUGIxi>-wQuKtU>OG&}+r&)eN_wVG{_rFJTduUT=f6
zhVlp^^tESd_U_vU;m`31A0)kwxQ=^VW$_xg|2&{E8!}wjb<4@*5nXz{RL81woJ`E+
zRy|)WU)-LviyL{It1`nfnYXZXROEgQM()7`a1XY%Ya76RH9-m8a9zg5Z+@mpt1mY<
z{-nxs3NtR|p3-+*`4`u(>f+a1i<1P4j9vaoUKGRF1yRKQuoq9W4TB`OV@DiHMChPx
z!}E-G7jD8z1Jq1YbaF(Ka2Z)yLI~+m`xOi+%@#f+r|kIMaH(ZwgKZTNs{tb6Q&D-Z
z+qfSy($w2~1HlNa#`ZcpJ6AX)3Mwn#M3@j?!Ax9`+1IQIsj5-}Sdu>-xRxXxTFpl_
z)mYi0q!D^Eu-Pomx5yn3l~D7zT+w)0By5R_TGCZS(o=lWhV60wy}}URvr{dPv)+}Z
zye^aTcuz9u-@P9e)xqO(DxBm;?45f;48-cb<wH#I62Np{zfC<u)HdG&Ze);E)LHIn
zhYB0sR(!7=QOqyXQ%@n^jcBkXb)7LQj~+R41oeZuMg>PT;DU^N>KML}g1qR;jT^1d
zvRQmo#@R_CpwBp(Nrg3p?MR{8P!Z_|B{I)n8P}dyGad-JK+d&@e{){=d3H$-832ml
z<3Xc9pQUPVKfE^f?|&s7D76!q<nF6FC3&jfXFVb>APsl=PWe9lw-%sIy292@^@9KQ
zfRMIFD2CVNGvCv|{`N?;&B@RsesRZ-D=f0n?#%wOh{5SDgA4gVpiNqN<A9DvMAGAP
ze3x&kxy`n=S0flKX%mNsr-#9EDL7vA*`Wj@0!W_AE7l%z{fh<t`jNjE_~hpJZTdZc
zz%v*Kr4chEv8tK}#fU&oV^;S6cN+7xeDxGkD_l#SP^OdG1StA6anTci4x8}%SZAxQ
z`^@bt>!)PI3fpphW~i0;_|9jg23&&LlboMe!bYE@!OTF59>06(_sfyQ)6%9Wea$ss
z4{Sfr_-)5!3V*$TMiJu`-*A~Q!T7XSsW&&d`x^YYAQ!=AUe@#Pt<mdV6%936ya`~W
z4{TgqX6?>EnrV0sBZBMvdSsiPlHj!jc>4_3TOPY3Sk(Q(`N1q~GpUdW>@ITd6v2bH
zpnxtLhb)p!N}gr)b!4hd4W|&NgR!))yRZU&&uyOP7V#5aC^|*4$@y?nk&dk8IT8qB
z$A_HYGl(LbrKEDaY3r^QeamYUxIx5doTLyehhbBY&ZpT-98juYv~ZUBMff2v+7Ipw
z1Xj>or?K~V7YkA$P#L4_O^*K;%$h~l8XuYWqYl0=W2II+uen>n*sqqn@@8ex+kodn
z*-uK{tkTL(V>ZZ5`4JW~Pl#d<3pyfv8c1g`W=8b!CKCDR$*5~z?b{f~zq<i|(HH*q
zwAohpB+d>Z$KhXF47tPc_Vm#2ll|tnd>U+vpB33WMe*Ps<OIa>nwXn`P>m<T#a#iV
zVC4@61XPBHV?(Um3};cVh?7ZTrhL%McI27vAo6!ql4_he^BANr^6p%i8)!l3O4b*t
zZDeD6`_Lnea&mFr|9}EXh~SD!DEbX@?l+M=H^bXol8+Dai$tXUt-3EVTal_<jgL3r
z`-DP5Gmvj1Fh2MPN~Gc`RGKW`ml`yy0si*{kG_eCiS4F6TsxgMqmm!RAn%zLSR@qB
z%$Ji;=F1j^hO{-@ar~ccWy8e<HNHx7-}&l#mmXEFt&6x648AP9DO=do`L@i$!a}ll
z_2oBj4E$kg0HA~5VWrNUnk321_S%o^e-Fxc^@=aPA`rP||H1S)0X{*E!x-Qf$vz!*
zZ)f_xh{V;eOM=foun5Vyy|Xy{Vn&eF0>|d#n{DLwIEaAz-Uy`4EkMsk;QArZ)jQ#f
zP$4!5OFQPINDi_aH7puZs*oTurLIS^Bt(3?as09Sg_{2)^P3v*x{ayp;?L#XdS7^<
zij~M0V4SMCDVGHC2y9i>r!H~D@t5_m%$^x$nmOrvP%b3*kgezto@W+S@6EiY`nIHD
z03W1|8+ks^aP?fVO)ul~m-2V~W!p>LKFC7|kn^YWizExe<M)g4d=Fj<%}9jprjGl3
zAh||KNpNn{#nqdReeEe$Uikj{`*`=uw}aU$+4n}j-x?TQ>IQX$06CQm)^4b_G+WP6
z^p2C7H9$Z;`79U+Lp@Y(kkjY>Q=Oca<Gn_j{hHpswjd^`mpL7qDn{8GuQdKid+v?h
zCa+|X(PO{CO>SO)b93h90>Wl3(*?-Q^+!+OM=Lcm^y**Bq*d@S)1+Fw(waI8C<mYD
zzI-+s`tg}wH+^wmlldHV^}6rdZ`|b7KXf@Q?PbIop_{y6ITv6!=y>sjK9Kp>Wv3(Y
ze_p<fnw@^juOQIC-x|Uf6h4?N?XAfy$3TAeN?hDi<Equ3Z!BZqeNuidX8K~4#yyu~
z4|`Yc*s-Izt<Bq4c<j$MZ(oXLr+wpFDq-NX{IaI%ky6|yhSuSxJnr9xe!A>b)S%9r
zzI-l~qnbKcpLz!#Oj1!nd3j}76CuVurhic=EK!uyL(Gnfjp6r)DmO%1iayA5zrdko
zHbv)JySi5J+@S)Np6!Jh?WxS<hb@TkE57o4&s@hFcbkNBo0*?Nm10IB=7^(PBz(qR
zsa{B>4`A}9QD*I+mEF+eZF$fV9Od%_GGvu}gy+rSY3ClMvNKt6(^ndaaJhz$ueMys
zmqQ&bwi#J_j$BCHvui*;>?Mn9UE`nM)rTtY4;kQx-#kA+eziylk@t;0k~$j5)cT`7
zVCFt&0OR+aVJB|UU3MH;!moUK_xI}i`WLN5@w{VZ%PCsYuhxJWd6z-)ffd#P_uaG)
zAC&TSZ1UNPN49+U`_+S<)A>Is)Il#p|C+rVp8kC?<j^^N8ZyZS(aXf@+8rnJcY1ma
zZ5=qpsV*3HBQ}Nib@b*fs$!!*y^a+BHQPi{j{MN={LOx-PRHxr+hVeVbB--1%@X0i
z4JvIN1uoki{WUayv2CMc)3A0@U-ut|TH}EW(yr1)&9+;Pzu)(%=wGjyPZHBN;)4-$
zvr5LseINXLf~?;CSoyQ&F_o*gr%lhJi)|j=3Tj!AAhQQm9hn!RQXX@fQ8}^%W&V6X
ze({((S=Bk8)<BvPbe#FQIGuNL_e*<=K8}jLeW!zxS?W(l_AgxrS}{sjDk-a0&anT(
z%9y`q)e}K8>K<`ZeFv9yS&RGd90t+rt5uPT@zThiE4=Q{n#k&$*Pf<nr@u3(JfBS+
ztat8BUKgJ#`|uNz17#n7KB(;N`R;4w)$-PJ`4meaFJllbOB8}{dxZA#>VLoHxW@0P
zt)JBe!#$7bHu`5Jy`A`KlKV8<r{h_}Ub%Cr>sFptbE3AlIf#*Q{`{Jdg8z(6e2y?#
zJu+slC1UGr7zaL?YzuzE#Q%ZuXHASI+sj0A;p|H`ZCkH4^d2g&>B;bzlnMLBXl41R
z@WJTPOn?4%d$Z+>D;633J+ASHxsHC@EukGM<Fq#-QwqNQNiHlrYriz3cD2vNx;Rp5
zEQRrYbxG5K0@fr&pD#LJA9pcOof`O1Yj*CC@9HuMW|_~q%6?==Y!f2Tr{UHG5ZyOr
zzBayMKT+Yz@FZ-@>*ue|94=SztRB(=54!cYwz}V{kd<}AM0&VCrh52s*Tr*+wYtpa
zEUqQoixmSl-(2Rp_K;_6Q8=2y8w`H%;{A1k`!=i)3w}Zu;&FRgW0=W*`stIq0|5=|
zs&pqcUpj6(AxFPnI=q2(Rs8k(7>&fRP~Xax*bR(%JJ&puDLOPDVAr#Aci-1?%NepA
zG!^0q_v?JKy}6^2zUs2=&nJl<zP6IzlAKwX_SDy((Y(o6NV86u&FZ$+7N5^^I~)%b
zCYTw??Y;D&o2e&wQ~C54?rwV5Yu)V}MuBZ)N9)OPlH8$FjIZ%}o6^X_UdLLI{b^@~
z8m1rDc8slZc|(7E^lF>!Io3<;Jz5oS`~8#zHK^TQHE=Zi%&1kTS(?y$_L=b9oxIDU
zo;T5lNenKd`JH}4Xegb!#NVL%Tas7aXD@7+PK}h*=+2Pap{Sv5n`~G6pzXcQld#Zl
zwE;9Yii*#i@rbkRFD6f<+3!jYxK2)>RfSav)wbDMy6mESJ<(4n=Ctbq0*c1+b>aed
zeXN*{>QXCa)z#FqxZWR8t=;RqTATd*nBZL^IF$*jO1MTnS7f(-C8y1ehPu6MMuI=K
z3l%zwL59)6`JOG?@Cog@fm3!@GjH!Wre(BzzL`1!5z1jpHIeM6Q@8G+5##t}tt#nN
zzrypEsn{bH=Bq6m#SY${X0SHxJaCsR9>X0+yOc<9)i236l)@IJx7H@=+FM{TOJ2S_
z##<#MCigiu>F77742rikm+IS3Joj|wIk%ctC+j$G-=qG9>clF~Z$DU1d93bJ-c{fE
zy1zW2{N!85LPlRU=|<a_1;1B5z2+Ve;-0#zFQUT&XNc?6ODBAJT7E}Ki=w@duAK_Q
z+;t6$+#A2It8a6x%oFNze<-)3Q5hwKpQHTZMT`-V`&KRN8@M}PE7z!OR^{t<)WU~V
zEunS(?w6XmF$KAp*Hw|0Bdo@fUnk#(yNK84uk(Fq);MX@8g4Gm^fJxm_`}|*n#1ju
z>-qGWIKMeTGwbQOZK1e2=aZ8E?4AB&_b2F`wb^sKwa3i*zIN}_RM5X>+ySVld&jCw
zk>UF<Rd8Q+w?Rn;xKv4r+2^S+?U}0S^9wbTpX2q1?x}#2YwYdqeQP5u^cJwi?dQk5
zd^tP!7G8VPnZ1I1p4Rb~BIE`k<DKb#kX*dW{}^9+oJ<$_Q-a?v#{$dWb?-(Pf&KpV
z16+S@uJ&<((2siso09H(U%^N1y~9dM{FymsN3YWMZfPkmvR~YHEcX78Zca{pLDF3l
zPQD_g;v|ie%TWH!@#}Ft2<~@)G(!Uy%e6Co9LvyKQczjNe?V_%7E$R*Xnj&8OJE0x
z<N)SpLCZ!Vg!}x<rTNv8)!*5XNEx14ghtcSZ;+0dLJbWLJ^?MGp{-5YO6_#%ib9?_
z(_ORppyg$tOnTg%>T|*>4zzpiXn0y3((e!Dgu|Ly1yMFK_2I8N1yvBVKsQ;B6b5?8
zTWG1I42}aiJ2f$L=qj*i-5RTW9@?>lwB2%YNih1^0Z1KDGvL%?;16~JRD=T%5wOC|
zIcNTn@z!H0rBVfIE22tQo}$uuwmXHVOQvFNjj_ZZ5HcneCj|hb2_mV51`f^`DosDu
zTl$^D8#R>x4F-M32%h*z#7O{eaK~B&0Q)nj8mJ~?fO)=#>2s3`YRbeQ;*A*r$xdJc
z*bYUMNbGX-T(M#WgvLLwj~z|Ca-+UG|MG$8P&Qvi>GN!UIcA4_Q=EDq|9<xaV5#57
z2q7noap>3=j2|kW3(E`j#@-$McH-kdsthQ68t(l+P-Wb7j`l*L2OfD>5O|mGQy<a*
zi_T7+UAh5-GjN=A92UVZuggTv&yS6|Vj(*sb?KRaTFK6iaBWcB3K0VJ?p>o+e^KY}
z0mpgot1c=Dnx2uK-X*o_cCmg)B@>hauDxZ?-`X6#4_OJ}cbKM@#tUl*=YJm+>S%I7
zdMrIfKGT9QT;s?QhD+}TY8K}tk#gk<9Lwz_87eCqF=iqY4NbNX<`QpeNPeky$<C-l
zS9dq@H_INC-z>%QH<Y%Fz8o_~Sp)__WZPlz$lBrjMi?c{hah$FsGdu-OM~pY1YT)a
z3Z6bbBhVNC>XQZ=)uaN#K0_->0<7&#;LWguBsx~;No}D$h*^LzLkq@p$ig`7e&G!W
z$BS@3=H<`G&t$DPx3*S&^_f|^k~5pdaqnNrNx;LsF?N3XU;8|0?P|?3g}kWUdgZKo
z&p^ZY7J{76u?nPvTr<`AZ=T=Mytw8wN(K2a6rW4nKpng(wAy5+o!O#%`p-`2!A-;j
zzPVNPzd(%c1W5K?(_2?r;vP6AS)ZBU4=NA{jL2GZZEfv{)NU}Qq_`BgoW5;M$=I1p
z#rSof(-yxAO;&u~2o3Ut$x_>nm#<JTi<-%oSdcAIKb=1cyO~2hPo%g!t;o-z$Vos_
z1`TB(=@@pq@~Ah`RSN6}TcZ{<)!o^xPH~5*g_k{<qT>GO^kLH2Vw&Y6sg68&Z`U|h
z`Wt{}9ZMc5y8_ptM4&Zh4I7>}1S&E-`-CsN*N;FaB4Th1!))ZzP`E2e!a@_OWB;*x
zSv(_TT2LIWGC#c!%(d~SVu$MWBc1n3-7sPfAM2OAd(sqrE|JYudR(7~nUF+@82pTs
z5bW*la8ZWXtfZpj0P_)!cmA9!H*?l*F4wKty>w{E=#S+!8JBgEHS^m+j#A(pMU5(m
zWqlI-&J=!d!!GTm^0z2Ee^883+;TDSnH(4zBJLAT?dfzlJDxs$N+bN|G1KbRj%aCx
z=bWjfSxq6WDWJL?5q7~kA_AuZi>mFg>}vW0?mO|IV2<7}lV`>Ai#m3G^Yi}n8$z<E
zl<3z7N4l9a@9q55b~w|m>Qm_isJ6sEDcSKkDu&yO<2s!MWM$VuLj$!*6SjNv^XGJ%
z6%-&Cc*hF6NeG+lINiYw6G*Lvk&$r#`U7ff2n0&qdJ{2fL*wJEK(=^lE`hF!hI$38
zwNuBP6`&>QE`^Q4Jy9y~hwJ?OJkP!$uahTR#P0*|Cxko|4Sf*|>?oH0BMIzJ=_LO{
z)stlSb9PL}@+SPtKM}TL%a*|s$!tgi(g^s;)!o^s+f_!e<%jMT5I&5)uU5i<AS#H#
zxrjmp+l>KVZi{w}fKP!*K^&?olTdd+!ij{x?-P%GSHHI=g@3EvRr`<|2}693=)BXv
zT+LGNn{vDV7Mu**(wx;&1At_-$co9hcp8To5$K=@BozB%7WN?2`)l?{T0ZL04eNJz
zgr=Po5(g8(EOcFv_H5XFMj0@#=X}i^+NQ<9!(ayrGw=lUPznd9-+qp{XNG(X@|kn+
z`}&3g5&1L0!ntjq)6S+s5;Waq?lA+vfNC0j9%p0E&Oc?dni&CAlR)&ug;q7K67NZ^
zOlkhdmH^3?Tz&suK<~fCt(G+5mWY}Q7}3R{^7{Vq*MbBgb1AI;B%F~~3Bdk3!2<~<
zhN}Ju;$~!f_Pgz3iKQ~C53IDWiWOH}i5{e(S#5Jd^~7!ZBQH+no-Pb$gsqt))CB_X
zFM@Qsnw)Gh8Mqd@Ishn;v<btrUK|$&%9=OCM9xQ|dtVz+&zIPwtzx;TdH4SE>fFN*
zXR7+VEORf=76XlDNSAvyuHy5oZhBiCtKD?^mmPhXW;7@G+<Nyr@9nj`e~bkULP=c=
z5UMn^hBPpJt9ftMusQS$G>46x(1t?4=K#wh?KG7X6!J*>&)VNToYI1mmOKz7X*T#v
zh@_ISy~$|861NctHPm!sr~iE4f)gGy0fM~=tOOAEbZ~qmK0wPnOE}Z4;*sBjQzKcy
zOAtrZM>yEf4xoxU2>nsekKqC!(N|Cisr(*Zv-qoNccSShB3gkD!pij${OCgyjJqx2
zAcv#{ee&+JD%^7J@YT9<{dx;*)1G3(@b<Rm1Oj4j$=m1e^AlF0w#D%QR_YMdJE64W
z-r2O=2s;#sIk-atNDh7C)DVi@IE~gUDcCfZlas&v+AdKjLEdEd?zH-PHJFAH?Sp9F
zdtVdt4}jftWw}o?ms9zQcuG%saaY;N8q9E(Uo!jlS#yFo*-M83z?|Yy@{Pg|qZVou
zWeE^`NE56Te7{#8Lw|*rqoVKEXAqYVhd%Uk*#aR4glLnG|GLAe_ZqZ%pbKD`c@y<i
zgtSL#(Gk!^zYt$FKp_$iVgmna3q=diOPc-FPq0IW0MLH|sN0sh>jtT*KruzU>8FM}
zCvn%nNRej$uHOx7-h6CDAn=rP-%w*x>|z1HW5}FD=T3`^SHq!I<o;ol!8o|%oKI0=
zs6D&TeU^0Qkal{tncVd#Q5yZV<@TeW-w;4GIzK1@<ch6Q{_Ta5==>?U=yzS9tWUkH
z%V2y!#hp-*EtePdcC%dDutO_Ty+DhdR%T2^=VRk2Y3N^5!GobpN*g4V|G+s0KU9jN
zi=<1$PeD=9NZ{DFz8q*UwmO{<I9YM=)~(IxBN~43A_F)~$+^=LP!f_>4i!_Uot%Vm
z;foi$W4LZY2UcH+Z-xk_@OzfnmK&8mcCydfwuUt^|BAHUccNlCLT6EjPDz43HI_Wr
zBYIJ$iT5G>Dur*P-<7$j_o~2t6i6;PkCf-$=%d~}3}xXru{`1fZ|dbZ8<=`@0xgFD
zoDcJBI1uq|*>VmAP$$7GUA=a#88^~-JS3=OQV9nRR2H<4pP&4H)Ig!v&Hq^gb!qqf
z;A&73GcS~;q|nR*hn(aMH7AHyP!B>ZGr^o6#Fhm0=a6XnPU<Rpi!@#II^L@DeLVf&
z0y{>+)?tbFO#IkBzWDdU(&IM8`1PLw$AS#Vdo!J$8@*4h;FpS(hQAMS&!mv39;23P
zP@yU@T6MNeW=U17oO{q_8`t6EO$K6D);<-<>Ngkop^>l)P65;qh{3An5Ejo{SOg=V
z+A1rX2pAbk)m9wbFnAcj+9UC(m|1B!5N8Cjr1}UVE=lkSq_Z$^bcE`xY^1o0Od%Rx
zg1La7$}|jUUSUtb4`i@aeG^8H6(pZosgo)$YXx{<et?hdHHX9>4_V+e!(W;tfp%JG
zMIzGKxc^Su&va;S9lA8s3QRtTZY!L`g(OEI@%*Vi&jXn)0z2kPIgL0^?B`_k(|vPH
z^!qjOq76?A6O@k6&20ZYcdlG?(l5e%B2WO6*|ae*3Lgeip$?M|o5)XiGBM8^Eyx6T
zGuHR@_d{=+pTRJO6Ib*U=NQWPH2c<=Tt~=#^r+_IF+Jsq^6b1#2`xh|%?fT8_^asF
zM^1Bw(eK$}tZ7Zf%vX2V?pHyFP=TONvs;MG9*0<fv)>+0fW*|tWs5GdHB|ebUWJ=r
zr|8D4_#7_7tM#((eaX1@n@%D+GI<=Nur4wbbo4aXSajrc`tZ1V=;>43!q5Z9qm2z3
z#1IQvQ+y)@!ZtX8DoRjGIzuFkCssmFqm8%$`BhX>@x+K38<Asu>?wrEE9PvVzdyVI
zb=<ERi^5*EepfLl6H-6~!Za1PYrN?{Q3Gade(A@gvT~!>(xzX3Q@`?|&Gm(Kox)rJ
zI{71)ogH)yM4uH4v6-C-c*n8ed^{(swLSXXV*?%MZJM3iG)C+@_H`DAZnQGz7P)#g
z^v+xRYu8>*t==xQwf6#l+{i*@L50N2?LWWyr&c(mzU+H>`UAqyU%06?1sK*#TGk_)
zodM^NoLBf|N4D@PuL3WJwu(=uJa!z=H`FQWvT|c6^0{Pm-Gxbt`r+Bmvs}Td6qnH1
zK*nQ^Hcw)t$BYtIA7vr=VthR|ClBbLof3gCk48nQj^-c&cc@uH^q64E)o4}i=IZ(i
zeM*Vek1Qu_%jnqKnORvGFzbYe)pmu$ID=oI0tvxOLl58R;NUs*+)9pOHZA#(9UaZ$
zt!NSIV3dHf8tKrL%a?UTX0+g&iroV1E02=L=`OnM3fH_ICrE$p!xeAd*-B|2w@)d2
zx7vD%BVYTzNc|4hC>r!%bD_E=;&jdMe1gk@Vaf&zep%Tv?px#)%BIMz0e_MK#7&Lh
z^@(Y5-y{Du$duMW7Z8ES6_t}TwG-S6R~P8D#!yoUGzLV0)hBs`cs#<Le|#Q7;G7O0
zcENGjvmD)Z+Lnbrk45JIg(o8XvN8ML^i9Finl@L3<weh}8WAXEqNh}CT`+habIXJd
z4P@;&3=*!IbWMcmK5SLAL}ftk(N%2yH=H$W_4W199Lt`kbQr^mg}MtJcp^}GOd19^
zp3{L6!#>DrX6ts+VU7p%`U)F#9(o1!A-|v?*I7@kLx=XeyGtMj55u)gdf=eo@+sCf
z$tl2BZfF(%eNf9Y?ee9TJc$M?TBII(p#rP;Y}u}0z~P9`8W<kF0FpdG(-ySedBn(i
zH9AJ$HyCgnAg0OPZ*Pw4zU~eRiEW`RVykV`2+YinW>McKwUMcM?XC6ad`@qi#$B{B
zp!&VvR<F4+!yy^S?>uI9FMZoR{rx*FC2o@xa;ivdMox2U)CN%~Xz+8w+q)iNmB+j`
zU<7QZV7P+NtlssV6^FT9P`xXXBSATFfpO!RrF=Yi4#b~N-@o4oJHTxT_3L8QgHG`l
zelaufK8#hLkm})(^R2J-{*wbEG(9V=J$k78HL{ux($P}+(FZeH8@9*F&KcVMwS=33
z6pG*=dSF3^0xAj)&U2(s9=hBe(9^p*qh7;zM0tkx>%;_NEGug~ieT@V-y`cu{Ij-f
z-C7O~Yt%O-E8KUs*fhCc?ZS47Jng`%rCuSg**qzZT6xOLAzwaGr_Dp$@%5GcQe$Ot
zacf?r>_~}GLIY{!wViq@Y=(L7=zT>tej%=8J^SB1<omZ40Pfic%PtaAA9T(0qd}1E
zezelN`PYGys0%K7`0xO3NTjeH^ZOK$fRToL7$jCUtO7o?c*MSViVY(Lhi<a2ag!iR
z%KkocrKN?|{h`R()yF6lh+UqL!bl5x_tm~}H*ZEkYy^e>YAA=C`YUD7Jl$%r!q|J&
z+J@0DU&0Z(+o6(|*m}btO$WX%z?NX6RMOUTdP*iHu=<5z#ivfUp%V!_qgjas-;85j
zzJH;9Ql(QK<mlBImRhhC7W0cRnWHY>#pE3nq>S+lK^#gTti~&XLqkKbM0H1Y0^0p)
zV<SBj!+WqVqUE*#C)<xq8PXpnwkJ6Ai&43ZFp=4~;OG<7FkD8>hmeqv_tg9TywM#Z
zB5Npld3jMZd#E0s9p3id_h(5;3NJz5pa<H5fe)zOsF<<}oMj{Q+a{le9<Q~Cy!2w!
z^5sL3&zAjN${C9$pR;7u|7<%edW$!>duMI4(v3*2j%WGN6M>mvl%3v|2q0>A<ausZ
z*lpKvX>H@5<Ezl0ju`PH%SV@h8#4?Eh$@J=6_I8iG8=>@|1!q+&K-XE%yQxYxqwdf
zs3&*Oa|f~lNKCUjXPn`N169uE4&#aF@A^aESWc|p%o)5c*mBz!3g>1PyUjbgCjJ;d
zEJQ`Ra}_#80(6W7P`p=-b^Urro;_E>oh={C*ZoF94wv&)ByL7m2a+qpPeC}7G>IgI
z%rP-B#Md2GS7D?>*7U#=plafztARB-$oEtSJ}iEO_?Pr~M}Y;&6o`dA(m}-3JVr)F
zM58@0I7o%41}lzqLJ;*DyK<EbItsF)kyK_B6)ktMfCL6Np*tjKRD13@4E%8NYk&ee
z0^R<|^KnJfBQur!*%u3UX>v>YuS#f8Kmj`xI5tpVpbL28VmaIzw|Tvb4UB&J;lomD
z!TpMEWpVN6Ur$ape17_7KZT9Lw>Kj*NtN}EZnE%sql8Bf4g=Y00M14F8<4(nu%&K7
zr4B6SP$fi=j-Ge#(gCA!qVMJ7#Xm048{GE)_K9e#NZ*F_RzdA1me|uoHx`8A77U0S
zl30>hDSvC*@ycmu_@ztRRaT`TUHP0ESkQ6YhP?W}9M$(_y}k|I*)JG-60`E5trn*w
zS0g3^q6Htjo$nth$jfi$=dbVSFw;ZzT1)l1hVd4~ER;Eac>Vi&;A8{M&CYn4Gh<xA
znUut^iMYc7p__%Z>8Ev~H<l;vESp-3RZiMNB6|(RQG(1O7E(FHx^~znhJSkh;#?x_
zKv3D1EM-FtXy_8aVpKV^q0g(7|Mfv+?=msLy@(h|n2!1-n|q^s*NK?~<9dl#?1EB9
zYgej&jVwd9Sf790G4;~Yjuq5fl4(Q7c3loFa__FGw3rPn?SXs13`z`a00N#kb?RbB
zNJ#T8KDN$0z1Uj~jg2w7nx_p*3bQJZ!r9o_*>%)VQ&9OKx6|W&pZrn}y8o?0kcuUV
zViNK;xC}E}TAx2}Kv4J!iuAY}#%xb8hq!DpNC5`NS(9gRX1xsU0^DU{Zv5f3)<}v{
zFw@K1>GJ1#w>H4yn++h(e#jF=s_B2SH!U3foO4sl5Zhf<tx*Lp+ME05eK=z~|6D`b
zt_e@!x&x;6)>+7^M_=8h!I`g{`P1RpvAUL)mS4g~#W;~_!Dsx+ym{?f1h%N^HoANx
zQh^e;E#VT5`~eUfCy?-OsNJh}8D4Ve%Ygz2qtP9bh1vr@cmjU>_~Gzk&Cyi+IW#A=
zxTFA_CN%23e?ZZhROo;CJJF!M!q{-{UTPc)z62XK<o+=iGax)_lY3&~>}f;ik-+X4
zv@UViytf0%^tp@-yM*_>J&%pQ2ke5C_XSM(cSzth<$gIN_zc$3^;P<;gd|;3MqI;9
z2@*@yGiMeVaJ#VmoL#&;HB7}~ed_ap7R7Tvwexxr+M-vABDAb#&abjt`d;p0(X}(q
z*KjpNY5zya$dZ-)x2wR(98S8A)MF2@>^r>_a<&kEk2Gr#Z%(>&LR#1AdONFf{7hU=
z<(D&8dvXSTYWDlqXt-L`2MShhnp;Q>dv;Z<tA<}%nhmgCBT|B2P086@{kVv5F98Q#
zy~f1Z;8*otmbK%uY*)5LM*sOdF=1gBlEx}?3^63moyVC^H|O}wTiy=4<Z~nZnL!BW
zD4IZ#FD?ebf0<<)cu4)b8GJxSpGq;nzz3Z4x<j7m`Em4d(Ay3h9k+H98s9@(WMhIS
zQj#q6!`<|=mBt%htY~?^qR5S@xMtP!+nI?mmFh)DtTG(mDx7g<ow^nt?reMyEU}M?
zTB8{sC!d#a<|=c=u)u~TbD6x)J(l!YWxQ{uW`sO{Uu<o$zWi>L>c-W)Vv`o96CR{Q
zs+uZ^WV&ii@dpTVZq}i8x)rZZ*`s<w)Gk&%<M*Aip#lv^;EX3GCQN^>pe(-ZpfV78
zzoUI2=jG3xYKiuXQQh$LK6=3@uW;SR&9p}-2Wh6G85eEx_qAOg6e%qG$QYei%$m3E
zmZ{+f(OUiS`S>!yk8rW)b7oAgXV(qcJ`y<U>QMWV@|Eh#=Ay8@w}tCfi_AG5n@{By
zbb0gKmj3Ae$|j#(S(GWg?Qfv@tNP$$t<(mphlpjbnt_#cgg`pIkbRBzdKRN?(!aU0
zjDw#|xN{iqw~?a_?CsqmQFma}St@ala9+rHURv3;Uqz^SUcRV{Q)(1GeW+m{`HT<b
zGr|t2g{s+Y;s}dRk{8({6#Rg4jcdT1W?GzSdZF@)NLA(26-t{YeCS;b&Yu%LYvA`Z
z#qBKRmB?oGQO|*IHe<FvP0OE^w){NDTTXSnYhn6Kk<XYNt!LJ}trM(r<?)zyG%bJn
z-kPSJY+|A34HcT_?rYx8rySWg%^duRQm}9E7PT$Y%9;MgL6Hjek6STBIYP@rw3bU?
zE8VZgD2x5u+K!Ir8g+VWKauWWQ*_naV+B_?SqHU0b!#=z49tCf?y={u^l6WX4jiXi
zWUgIzUW>Y3c(Xbao8cPqCcLYf&xSY?KId0^f3(s&O(&iFn<2uXI{osX6)lI*Wf}1k
zRVE5bHU)Ynw3L&7J!W1U+$~e^=%;qnx&z!#;+Xun9$KBHzQu5YYfltKTBg4SrZeH$
z64vZmYAo-x%#NGs1n<BLJ+tt#Tgm)tbH+0!OYSryIcKG^R|_A-YmJ1xL-!uMQ)uS+
zBhaqi;?lGuRjLuwBIO;`Go#uXx^QXEqEn}X70tccp+jXer6&(Mz4vj_qSSzuaE3>o
zo^bHypnOTAE+Z{hjdQ&XU2iw6WMRskavVz=;2h0v9~xC!IDV1Z$!NBHh>yG8j8B(z
z_0DnEwvEWvWsJDGn(`=Y>BqiKQI<ssdV4BAhCMf(q#XKn=BgUb=Lxcz6(1H+i)CLp
z&M^4HziH@2Miadf&%1$)S#cf_JdbVynOXJ0!;zmgD3&^`0`eorFP>pj(Ol0i5KHrm
zJ$NO@-Ti+=yy!!6<SaWhU(Zu3>!$B^lgvD^^86;ca9t+p)ZJTD`1WoP;}s<z=RjsQ
zgN<Fhe~bKzTRPj6E4z#>B;KzpGrs=Cb>=a98+}ppi&c{O-*pudBg;Nr*dKAxQflDv
z*>{dqrBs*cL*?n}!&kLmdHQCpR+9!<#p`gyyve4WN-|EUn>)DsL1x=T`^Q4samui$
zb%)t*pQ6Nlc|ND+vgT+83`%zA=WmqGO*Pz*7!!v{WF&JK9UY$IO3B*xLBmB<G>-<0
z@@JmeM-P{P-1K)VUX}2b+NLDO3Qd;2Qehd8rce)XOn%Su**P#!LNT;%--8Cz+3mLY
z7=v|eYq_G6Xib<0ZaxXti1uu`t|9%=S^q-Tq;kMKbMPw4EXRrR^4$~fZp$B!xROGC
z&~y0*&yi{L?xEaT9UPt~7F22%)nP6#7FjXgKD32m#&|i0<BZOpsEs{mck7d;M{I^+
z8e%Zwq<$EgaDRs-&2$+>h(k)D<H&;ZXt@|!%Q7xusRDOrH!#)~*q=2MbqT8Zv|;XI
zrXAW?q=$vzhp$|ljB<a(7Q8<A_m#)LqGH<@je9JQr{7ntVb}jXzap4Q;Lq!0j)PW8
zjoEu6>Cv%KZH^1eGF^mGNkTSk=c6r59!#tmqI;iV%f9XK?A)*aGvbE2&2-9Q>0`=9
z%H`bPw5WySr#n~tGe>hP$qxszRvt-ZWqC|_#Z>zh6V==y-AN|qH2oegO84y(I#kl3
zp}%5wGeR%AyiC~oGa}kQI*I;bt!1Y4=3kO>d43|neYAWmWc#1jiyMO7nios;!n1w0
z8kYU@Zk3^UxAxOai<V&`G%D+BEi<IN@(bS`A59)hN0q7&3;n*Tk}?Nw9-cGj9J@JE
z?w=~#>0f%#^r4UX;l2~ScDc?<hjTWdL)#l)t)@L{YAiJ5xt*oXq{;W14)O{l3)HGO
zNu4HJCvzxAtJG{_6(!^OTe%}&t#!C|Hso`~Tyl=YjX9-&xivE}SEOLPt-XR<sHaal
z#ebzOT19_zMRa0!_n#b@#F%^u=x_I-I7f_^zB3(Y;>}%wT^%;)MnIEZ>`lS1Z^rU{
zmBYA;lE?NW=d$qcraRRgT^*ie4ajg{dxz(|#Z@EOaim(}yeeg5S@Dx=ubfug_dZHa
zJQgbQ@LVM?tawXA_8y_+?k^JIH+yWCiv~Pw?F%+!$%b4qcSx{iWd34{`+Q%9y@;Cp
zGZymKyU4~cSlRU_w|p<lqqRl4!7ulvdv113^Dg=4)8|;or<;{D8;=ys=@-@pt1z9A
zHW}P~`>z1s*YX|{MOmCd>3`1ae`RIsEO|y*yXkhqW8;;qt3nx1E2iEkv$}hFvM|O}
zv8)mRGZi%bjcBza&a0W<3s<y%HMs`!SNq|^CXn0P-Iq{SK#EO<fH~{{gBc1Kvn_A-
zgWnJf06?y!UAuO*qmMb!wA$BH#p>&!z5R7L56gtt<SdkRMetD)%(y8t^1J@ohud#e
zF}ibdtYSFO+L2V+@us7=lMWu_O-SO!c^gjykmW8l%YXY9MO0OONG;mIEfWVf@CInB
zwF$cI<9&{hij(ZY#?6hz#l?l-45U?DU0oYDB@lcA>7<>PpMN{Pt_E5G;@XSwD(s21
zl)?+7XsBE;9~0pFWJQa|Lr7q)W^f{2n<?Td_m;l`TXveI7JDC*QO)g~M6pX$@(_w;
zi8~S>-`V+@iwOS`E36>vhU5GF7O`z`X!{;;`rceXwIz@wqshPCiYZ9=k}ZgYL_kEO
z<!d=`WPX?^+oLH`jW}d3jU$jMqjRE`_7BtQfCs2;P(uUBSj{0HAD;w31vm1P0={QE
z?c{>)=SH(9sCYNuuOld4XUjKg&BOJV!(xu*Cw6F?De`YKs(w28ZRe-<r8@-T7&$)r
zN=zf`^%gW3gl7VXAJSbe7Ghn>9&hiRmENP&D8wkQsv1IyLq~xho-N9T1RdZFFaX^J
zJ%wPA2$Bx~cpQK?H}V}$^R?^YJBDPpmh`LZEo*?#g3@=U6xrGaAV3$9p+hPm4e<=T
z><mqgfpG!8eICf5EvAVQjIKPa=;|ZgXnfLCjU+1|E*pjw!6I>^NNcTSF02*c(Y6{T
z8o4{)mjK^k07q93Wq`<{4hdw#!zb5qiD&FfA2vG}e{^-f<QlFPZ)HQb2)fO;Z{NNO
z<v4L(AcX`-(csW<_Rs4yd&JMSQk?t>3a0QkA4W+=3EF)T`93O*FNGgONv^z-5^+A@
zS5h)ZRi!=Zx<EAmMml;0@A?ctAR(Y(qP8CD<akuK|3*rG$ExNGMClkRCJI=8071jg
zK&sZGUnfW$1Dk7nndY_`>FK10xyY&CC}d}+%=XyDHp4H`9s_eVDarAq8=y&kRN&r)
zH92XZUSD4y4x(Q9M~_`Xqo|&*R$ll)KfiL!NivTk3=3vK+ay1NQJ;I4qe+zbKS6zT
zZR8Sb(ko%pwd?|aE(=GnL?%ik#*Cin*J2MuM}whCr0W`>jMWOeTakx0SW9uPxdU&D
z7C<s10JA<qm!-{<b?Am5vgEaFSHLalVH%0$APQDV;{ei83GRug`l<=f&(9~WXtRJG
zBcE7bM!|L5ooOKcI~un`J>!q^V-Yd^J7ckHBEyfCpHO`d@@#{$UlCA*OOcV0u;FVd
zug34Ob#V~|vhwlE7h!bC+m0oJwx4R5GneAi>I=*t9)@n@P|Rx_CD#;va++OGX=JFl
ziDWSb{ql;^Y`VOqW2OmI0}c0dXDjGUGS|=Z@QCMrb(?9_+>~H9`pbDA!OLMhGE{;_
zjig2$y9g;D1Je3n^$b;{$<_`IbQFMsO(=Ck<;P)iHbAG)2r7_{LRvZE<)^=7#9rsg
z0zE-kL&6;m#2rz2f~>DS-&_vt6C;Yww@-Ehm>;U)<>3LuXJT{B&=6=WHX2cx0WsJ@
z7)98WeZ(551N|(Gj1x0Tp{$d%i~`SDQ8(Li=^-B|2Q|!+cGsa)<+op{GO*a4SN=sO
zn@*eYg*VN<2d3}nC1=v=GciqjeL1tD$ouF6P`PW-r>=1X14@dtNQ*;)O#t}(I6Kn%
z3(U>HmoH9z9)O3)zp$=ZL&Lzp06v|wcH&L}ly_(wQ4b44Pk_$gG^w%X>tPlkWnD|*
z*%iP6X#;61fQp=RP=Rb{?Q~lFo3QQFpLQdIV}`td<<PeaeZ*u7Tp)INAN1`IjzZYq
z7~XqS@=^SVswx!<KF*`tL%OpnVro+gxvLZ<5QKK&<~7>0o^nxbuxdc~Ew}HUcjk&^
z*YCU@Edp&xsRe6T4BZtJHLI`-&!NR3nrKicWO_h?Mn$~4r5a-G;SmdV5(Mx2<Te&w
zMUD*{HuS&;QjHd^Xn@=je}oe#?;xTb6vYwv5EduecW-PvvfqI^I66AIIau@Gc<xak
zN^%5j!(Q1CcM1&*;i-srgQKZtr&{CSEC-wyZ$?Z^2@r;ZTna`-aSNypBy7tVW?aXu
z7!ea<CYtp;0xC~*PfGA>p4|6SOKrfn_<^_fr)=l69)^v6d+-qCkl4u;jYqd61w+}{
z2ccBt2jD!5gGEzE=Q4Cc5f?9B#BYRk3sxIlF!s`uJAFWMBQr8G081Wrb#=8z0|4Sg
zqnL6Sz_VmoSs5_}1m774_&{B4vA3zTJQgPiK9IP`*P%298lAPCCr(@@d;FhHX~ayV
z_-0ko**~K~u)2usdHYraq96e1`^iJW=5FVteiw(5fZ@8r+}vD>)MI$`h@qx22}2Th
zl5i^}R?Xc2!bJZvM)wGzDKNgI_KW@?F$llrEDmdf=`;Qv9nyw(MKoM-dugDhh@SHT
zOq~vW+H>geVc8cOs(??Ux^LV4M<3Y&Vf^S^^4?nN8Q?7th>u&mUM3pfeKzsiF7nc)
zHVG|snFF#ug1N|47c7WHCc~x+0qbj7RyG+Uo4<GBEJH>pK~zEay6q;zY{n`xheRTc
za{Hkjk*&l!mhp{(J`^?#t57l32-ZCcjxgOl#m|&Mr^`cGg5D&4FICmlI?tcR?K)O0
zLnX4M<H+xQQtN8b<nJhBL}K??>(<6j@&5*El55!!4C;_zkSqA$*#}!iS6WaWF+4GU
z@j`wLyTDU1USqd!KYldgh9D{`t&1>URg<|u5(t`NyQs>wqgjgu%zm`BY?LL&=&Llh
z8HU-kn$+=41{UP~WTaeZ4D{}#UB5%CLS4$f>oAF#X8zW{?I<Q|u3wTIjVy1>&aUl#
zv8p=0PE6oeWHtTg^BMN+YVx(K@GYI@kFIRtbEdsJxkfH?S}v27X`o2&*SMLLPr9t#
zE9VDFU%!4;S5msKS}qNX*gZx@>kg1UPR>syIneRX-Z_3=gGP+*mDP%}a4HYARr<!x
zLp{JD3q>-==7Y)%c3{w`#d&Ek3e3x+aC<=5-;7F&;=S$(J=>!Sl|7lJ*!l=YTL=Q>
ze5WoZGJ25y?j>tB3O6Nk&ex<8+>`k~@#^gIw+xd!wl3%qJ<F#{n-2xkjRzI4(2U5m
zBgjN0H_j41YKrzdQMdg3Vx4Ul7*FUiC*N1uvtT`1PFA2M$?4Pt?@q=QaIvhT;k+Bn
znX<9ao%8OZ-9O(zS-wqTltOl&rXA1~4q|ySe{lC)Zsrhq$i`?)4O@aJK_nFH9#OBO
zcFGF&2?+h!^*1LsF(w+nfJ<ok1MU?K*=A@R(DB?ZdY+}Iu6H~v=Yu#eH%44Wf(*nn
z*M`@#6cgd|iG086tZU7=!|sj$>jRciIRgh^31y}`wAr4RQ?5tsy(2z7x%4N;;GfxN
zS$@w-N1MRRh!<Qt66%gp$~33%HFBjD_^U72jFMhd**43s`g1}cf2X)ueJdX$gEgIX
zf@Q2gP+KzoK4<wea%627?p%8kyng@mcFKCTpxYcO!*7)TYk}!LxRJg#@DSBq;Q<-S
zYLNk#5c*98+&MA-%t+3M<xLj7qEEu;`E{F8#!pm!%;z`lAH4s=w`c8OhIe8Nff~pD
zxuHeR|7@jXK5=DKr#h&AUWSV|v2a5{$3KJ8xrq!)wo$0M7DI^jUFyB@=TjJEBk6O0
zXG>$uu938u&9uJW$+MJ3Fv40e*qw4%I8-Jq$kjql&%s<#1+$ZLgFMZZ27HEO2$hYd
z4K<~jvCMg=$^9<llp=3e@=_1U5=vJbdcm>FZmRS}0FC@g>x}5SKTC6l_tvdie%OB&
zfDqkO5|s|4QLPijm-54zL$>t6evSjOXmsiPX!)g6WTnk`+|ISLYEwxu?zu$Wm^Y`-
zAkM>ur(M3$_;PlT47AVPUtE6`&k2pst0c!i*j%hLi;5BfkN@;<gr?Jjci$+F#CRDx
zFRcX3Y$3)=tGn-*+b9KNrg_rWH!Lg5v7&bq14Y@ud{BoD^vUJ;c>7VQF}i4VyP>f$
zCU9jqGGv6s#aU3oTvY7MqsGEZc0i6kwk^>GXkAn_nBd{%HGRlk4h91p_EY4rGJafI
z49K9#m%Rj8ujK1LLEz=_#;dS(a+8S(e`X60OI1Nkk>)Ru0cvx4fZdUJMB~IYSBy9N
z27Saw(pl2|epy)~q#*W3RbT`F5q%^iowq>tHO`^e=ogq8BW$plT|`{HH>2Ge#D~n9
zpcQK}8rqGd^nzDt&>f_as%Tto7F*<gBWJRbcjLww=(N%iY9%y2fY=N7&>-@<nxxmr
zp6e3HyCxB04Gwf>icx<Nx5_y^FuVUlhLai07ybh|#Z%PSN40`RxBq}J;Uh{bp29`O
zxnz<26RyA+Xx4k}p=mrDo1C2dSLqrPAj{s%P8&8tp5aC}%Ic~YoJKWp^ZF^9{(`ra
z3(%Q@7<!Udjx^u`<crA<B-uJQmXZ6WIw>K6j!hL}KTWqPba4hLLX~Nd0K5LS3rLN3
za=rc#$U;wp_@Eu`NZUVTb&tdGFd8BE4MY5ooUVz9laV$?s_|?MEF{ows0k&tniHqS
zyTn~TJmw{i&_;PC=MYAs{NPP_HSC;{RZc6yNN<(P`1Pu_;o+=@Y^}c2NU3krX1!Ix
z{)N&r@S|yqjPEr4d7oYbx6TPH17wuLsUME0$wZP|!N6nGTM<r+b^ZOkq+2zJ6x3qU
zP{Lzk)S+n@7#X2Mr$5r-n-UBi5V}}DzrzgTi3qAF!K8@^X2%J3>&Om>U_89<#RFnQ
z{eL8c^RNHkCWNPcmMD-)0(3`z1c_hKg9kFH=EbNSAQCr|5_^q=7Mbo+;n8)KR($M#
z`E<AO7%;u2Di=OSZEpFzuF|6HdO>fX?Ct|y6bi#94K-DRA79Tw9|!0m23Ae%aEz?Z
zIvJjQtXKf?$yh!Zt3BI7!7Y<6LNI=*1?oY3D%;X_Z-P~eEEKRI81UN={1IA^{3~)i
zYjF8R#l@;1Mq%<m<a0z0gGJH+hXX0pX~P2Dj_|`UC4z1Fc>%4&0fga1L`^iNZ8zjr
zL!+^kLOT4A{z4@1Mga;julYsv9#FI;n18}909|~Jg<H0^yL&xlU}D0p<GK&V2i{(>
z&?nTrc(DpuM;$a(QvS1Nt5S%%DDCu*4WxS`rj2-|{ai4momwx+!phGS$GnF@m_wxY
z$BSdVOz+?E?KBJMKSl95S}+)HX!ygiU&8!Q*94*>;{6ESYdw*CBI&k<F~%44<V~>U
zPru%@y#2b72Cl{gp#WqP2;u!O)q^~Ng!s_OY{t=q4CVra1JLTnBBBDdy9I)DN)d7^
zV)sE(E%dS_DhN12)A6BMwK1q}8zlRzYygiw0-iV!5TJ<K2^X=99?ZxfBoyGpGmvQm
z#t8~_NNhlxx8e4dswC04<YY#Wj2I7U3h*KZ{4<G17YL;ehd67<6OScXtmDmNWfyRX
zuk+XSTe;_=(hU*KqaOOf)Is}CJi1*YG1e<@IQOmu2heCGFE@82Hs%lvqYq$LOM%V?
zO>BIRnJ<Tzz*gx2xu8tpP#)s>7A>P7oLjq-iv{K|A;=W=WVGLc^th;`vY+)B@)AVD
zq?tHDqF_lIUHJG9+W#RJC+h|F?lKC8q4J$U|KC9jcP&=vd4#&@m<6I*2dw7MR|uQ(
z#<NQD^0&~swr;yi9bR$^9}yx@^-X>@x%msnS(E(-{O(&=sF@p^^O#(|u#INb;qGl}
z5HBuIdA2USM9qjol`g~N(dR{(tAA=#bC#vl-DYwzuQ#*PyI<wR00nu2M@az~_@A5P
z*$kDIBN~s)yLZ#Gvl(S&A6A*BD*7-%3flyk0@?D=khJw&?YO5eH1zk<rs^Pg!43=z
z1fx2Oru=lq`+rHQ7+N9g{vRb(PWGNwPoYd&!7b}rt2Ff}1bW(`N_fc7B6k<@$(R})
zjUauL2p<aj%5&?)+g=oFntm>npoCLcrNuQXBR0RHTo4H@%a*@gU4gs5{4-7Wnl)#C
zsapNETxzJaFgw)k1_1zZT(d`SLS@9LIiG36v)@g7+TuQW2!zg)l7w8w4vUa<3n(~R
zK@FG(8V4#0nK<nK4IYmfSh#2d0|SX#W&Rf=f!_gpk)GPf>BGV|BME@W9U2zy!#CxL
zDsKSGi1d1dker!*U#7H?fglCsG$%tdRWL3QYrugc62`;OxR;+CVS+;N6?C^lqVn>b
zko2ED0gaE|)HO)f0fEfGGcwtS*(+!=YtbXW=91HrN9p<}d)V^mFK=O@zLouM)tlhr
z<@@vW#5);)NXd`jN8t&_Xi~|*cfPz_9xz@<-Y*0i;n`O@5avT~v-Oj__m|7$oFL}#
z00-0Co$T>udL|~qfD^Vuf=w(b2#kgr5YpQls2KmYZQyyZIYlYMQ2z;zxW9jde(t=P
zkQ$-TYb$J&u0SBzKI+|pVx{5-4-&9-wcs#k4=wS(fwJb8FXa-~aB%RGcH>3bY*&ak
zJQR7uK$bYzt^l1PrFgbtpC?CbNta0n=(YsMA@3!<#2qXPFK!Gt2$5mKyLV<lhMUVU
zb&(GqJiwi1<oosz!~@|*xiT)-Z(jXYAEwrve|aH&bp-pq6Y;M1-kKT80ghR{B1zIp
zcD%C0z1y`P3G=$X)c4K9K8y4I%PxQ!?T~(7^#0nTOJrio#$MpWO`#NK_$GK8tPPO#
z!v9ENKe0HdtA}}_bj=h^Q^Ui>%*#j@^cFEmU}gwK1aa-in0iQY4kLw!{l14-)6tQH
zZG315um$66C{ieqt;ufQfnb+8;%W`;f#%1rgny?Cj_FzGC-9f?cTK!Yx_(^*ej)e2
zcvp(lB$3#dO?RsoQ5OJOeuh&v6P_irurBTTQp{Buc*s`k(ksmj&a@%RxSkyA{xW6k
z=m#Mrjm_3Y{bW5LFlhi6&?@wG4DJj7f9N>M$;H&=#^)@?)lis*=&%8rX-{;XS&k@8
z9!6vrTWgWui?4shh-59jC(Ok1*Bm_osdQ6-L<EC9!H*q7B}R!i<D4c$mE*oNNjGk|
zjIxGv(Jh}YS%8KI@feA#LbA;^Fo&f>fe!_fsUk;?|Ng{P!DOZWk6+KkmNtFdn%#6p
SA-a!(FOB_&)e81npZ{O$=rQX6

diff --git a/docs/manual/classbayesnet_1_1_ensemble-members.html b/docs/manual/classbayesnet_1_1_ensemble-members.html
deleted file mode 100644
index b30b233..0000000
--- a/docs/manual/classbayesnet_1_1_ensemble-members.html
+++ /dev/null
@@ -1,172 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_ensemble.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::Ensemble Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights)=0 (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">pure virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>compute_arg_max</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>compute_arg_max</b>(std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ensemble</b>(bool predict_voting=true) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title) const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n_models</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_proba</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_average_voting</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_average_voting</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_voting</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>significanceModels</b> (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>voting</b>(torch::Tensor &amp;votes) (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Ensemble</b>()=default (defined in <a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_ensemble.html b/docs/manual/classbayesnet_1_1_ensemble.html
deleted file mode 100644
index 0658cfc..0000000
--- a/docs/manual/classbayesnet_1_1_ensemble.html
+++ /dev/null
@@ -1,1007 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::Ensemble Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_ensemble.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="#pro-attribs">Protected Attributes</a> &#124;
-<a href="classbayesnet_1_1_ensemble-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::Ensemble Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::Ensemble:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_ensemble__inherit__graph.png" border="0" usemap="#abayesnet_1_1_ensemble_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_ensemble_inherit__map" id="abayesnet_1_1_ensemble_inherit__map">
-<area shape="rect" title=" " alt="" coords="213,153,353,178"/>
-<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="5,226,123,252"/>
-<area shape="poly" title=" " alt="" coords="232,186,102,228,100,223,230,181"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="147,226,267,252"/>
-<area shape="poly" title=" " alt="" coords="261,191,221,228,218,224,257,187"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="292,226,426,252"/>
-<area shape="poly" title=" " alt="" coords="308,187,348,224,344,228,305,191"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="450,226,566,252"/>
-<area shape="poly" title=" " alt="" coords="336,181,470,223,469,228,334,186"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="214,79,351,105"/>
-<area shape="poly" title=" " alt="" coords="285,120,285,152,280,152,280,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="199,5,366,31"/>
-<area shape="poly" title=" " alt="" coords="285,46,285,79,280,79,280,46"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="343,300,494,326"/>
-<area shape="poly" title=" " alt="" coords="483,264,435,302,432,298,480,260"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="519,300,673,326"/>
-<area shape="poly" title=" " alt="" coords="536,260,583,298,580,302,533,264"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::Ensemble:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_ensemble__coll__graph.png" border="0" usemap="#abayesnet_1_1_ensemble_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_ensemble_coll__map" id="abayesnet_1_1_ensemble_coll__map">
-<area shape="rect" title=" " alt="" coords="106,168,246,193"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a4fc54eae63053cbf3162de383010b60a" id="r_a4fc54eae63053cbf3162de383010b60a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4fc54eae63053cbf3162de383010b60a">Ensemble</a> (bool predict_voting=true)</td></tr>
-<tr class="separator:a4fc54eae63053cbf3162de383010b60a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af1e09b3d229dbf6d8550ac8eefdcfb1c" id="r_af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af1e09b3d229dbf6d8550ac8eefdcfb1c">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:af1e09b3d229dbf6d8550ac8eefdcfb1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8c66fd77aabb09ec25a030757e5caba6" id="r_a8c66fd77aabb09ec25a030757e5caba6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8c66fd77aabb09ec25a030757e5caba6">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a8c66fd77aabb09ec25a030757e5caba6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae975fa69541e28b7cd259ccc5e99f929" id="r_ae975fa69541e28b7cd259ccc5e99f929"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae975fa69541e28b7cd259ccc5e99f929">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ae975fa69541e28b7cd259ccc5e99f929"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad2041fc17c90ce3f91c44e399d54b811" id="r_ad2041fc17c90ce3f91c44e399d54b811"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad2041fc17c90ce3f91c44e399d54b811">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:ad2041fc17c90ce3f91c44e399d54b811"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9054a70158afe147e4c859211cd897ff" id="r_a9054a70158afe147e4c859211cd897ff"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9054a70158afe147e4c859211cd897ff">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:a9054a70158afe147e4c859211cd897ff"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2071f46dc78e4418a122b99e311cdbb8" id="r_a2071f46dc78e4418a122b99e311cdbb8"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2071f46dc78e4418a122b99e311cdbb8">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a2071f46dc78e4418a122b99e311cdbb8"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aac161a0a3b8692ccde0ddb3d7c2f25b5" id="r_aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aac161a0a3b8692ccde0ddb3d7c2f25b5">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:aac161a0a3b8692ccde0ddb3d7c2f25b5"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad4c97a92c269dac84f8e8cc760671aa9" id="r_ad4c97a92c269dac84f8e8cc760671aa9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad4c97a92c269dac84f8e8cc760671aa9">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:ad4c97a92c269dac84f8e8cc760671aa9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7557710fe99620ea6cf4357183a6b930" id="r_a7557710fe99620ea6cf4357183a6b930"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7557710fe99620ea6cf4357183a6b930">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:a7557710fe99620ea6cf4357183a6b930"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac0e16a53cd3b6733abe68efc00bac2db" id="r_ac0e16a53cd3b6733abe68efc00bac2db"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac0e16a53cd3b6733abe68efc00bac2db">show</a> () const override</td></tr>
-<tr class="separator:ac0e16a53cd3b6733abe68efc00bac2db"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af96f5bd66371fb0f4b61fb0deeb0a2a6" id="r_af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af96f5bd66371fb0f4b61fb0deeb0a2a6">graph</a> (const std::string &amp;title) const override</td></tr>
-<tr class="separator:af96f5bd66371fb0f4b61fb0deeb0a2a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab283458c6e8cd3cdfd8bafa60f31b7f4" id="r_ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab283458c6e8cd3cdfd8bafa60f31b7f4">topological_order</a> () override</td></tr>
-<tr class="separator:ab283458c6e8cd3cdfd8bafa60f31b7f4"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa6a8b50e438797fe3920d71b878bde38" id="r_aa6a8b50e438797fe3920d71b878bde38"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aa6a8b50e438797fe3920d71b878bde38">dump_cpt</a> () const override</td></tr>
-<tr class="separator:aa6a8b50e438797fe3920d71b878bde38"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a77fbc0a1720fbca2210ec34d6de1e293" id="r_a77fbc0a1720fbca2210ec34d6de1e293"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a77fbc0a1720fbca2210ec34d6de1e293">predict_average_voting</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a77fbc0a1720fbca2210ec34d6de1e293"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b21eabaff70af01d9f2794f4aa3f5bd" id="r_a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8b21eabaff70af01d9f2794f4aa3f5bd">predict_average_voting</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a8b21eabaff70af01d9f2794f4aa3f5bd"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2a077e5c89d179ab904ad9cb8c21465c" id="r_a2a077e5c89d179ab904ad9cb8c21465c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2a077e5c89d179ab904ad9cb8c21465c">predict_average_proba</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a2a077e5c89d179ab904ad9cb8c21465c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a180d71eb7859f96712911598678029bc" id="r_a180d71eb7859f96712911598678029bc"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a180d71eb7859f96712911598678029bc">predict_average_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:a180d71eb7859f96712911598678029bc"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9abee06272ba403a8fb9f5312c98a43c" id="r_a9abee06272ba403a8fb9f5312c98a43c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9abee06272ba403a8fb9f5312c98a43c">compute_arg_max</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:a9abee06272ba403a8fb9f5312c98a43c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afce60aba82b7f026e8a88ee0ef9cdabd" id="r_afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#afce60aba82b7f026e8a88ee0ef9cdabd">compute_arg_max</a> (std::vector&lt; std::vector&lt; double &gt; &gt; &amp;X)</td></tr>
-<tr class="separator:afce60aba82b7f026e8a88ee0ef9cdabd"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a47a49609634a7a127b3a1264ed55ec04" id="r_a47a49609634a7a127b3a1264ed55ec04"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a47a49609634a7a127b3a1264ed55ec04">voting</a> (torch::Tensor &amp;votes)</td></tr>
-<tr class="separator:a47a49609634a7a127b3a1264ed55ec04"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7857edca2bd2a407ec8404562219eb45" id="r_a7857edca2bd2a407ec8404562219eb45"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7857edca2bd2a407ec8404562219eb45">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a7857edca2bd2a407ec8404562219eb45"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afb4704c88bb960e3ee1d2fffdff0591b inherit pro_methods_classbayesnet_1_1_classifier" id="r_afb4704c88bb960e3ee1d2fffdff0591b"><td class="memItemLeft" align="right" valign="top">
-virtual void&#160;</td><td class="memItemRight" valign="bottom"><b>buildModel</b> (const torch::Tensor &amp;weights)=0</td></tr>
-<tr class="separator:afb4704c88bb960e3ee1d2fffdff0591b inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
-Protected Attributes</h2></td></tr>
-<tr class="memitem:a65b82f7036d283358a756013f96bec8d" id="r_a65b82f7036d283358a756013f96bec8d"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a65b82f7036d283358a756013f96bec8d">n_models</a></td></tr>
-<tr class="separator:a65b82f7036d283358a756013f96bec8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a76f6b6c16e9e771f059ad72cbd4571a9" id="r_a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a76f6b6c16e9e771f059ad72cbd4571a9">models</a></td></tr>
-<tr class="separator:a76f6b6c16e9e771f059ad72cbd4571a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a27cb9d119dd817ec240d8a4deedf0350" id="r_a27cb9d119dd817ec240d8a4deedf0350"><td class="memItemLeft" align="right" valign="top">std::vector&lt; double &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a27cb9d119dd817ec240d8a4deedf0350">significanceModels</a></td></tr>
-<tr class="separator:a27cb9d119dd817ec240d8a4deedf0350"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a383156745d59959e0652645081c0257d" id="r_a383156745d59959e0652645081c0257d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a383156745d59959e0652645081c0257d">predict_voting</a></td></tr>
-<tr class="separator:a383156745d59959e0652645081c0257d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00015">15</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a4fc54eae63053cbf3162de383010b60a" name="a4fc54eae63053cbf3162de383010b60a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4fc54eae63053cbf3162de383010b60a">&#9670;&#160;</a></span>Ensemble()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Ensemble::Ensemble </td>
-          <td>(</td>
-          <td class="paramtype">bool</td>          <td class="paramname"><span class="paramname"><em>predict_voting</em></span><span class="paramdefsep"> = </span><span class="paramdefval">true</span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00011">11</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="afce60aba82b7f026e8a88ee0ef9cdabd" name="afce60aba82b7f026e8a88ee0ef9cdabd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#afce60aba82b7f026e8a88ee0ef9cdabd">&#9670;&#160;</a></span>compute_arg_max() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; int &gt; bayesnet::Ensemble::compute_arg_max </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; double &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00024">24</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a9abee06272ba403a8fb9f5312c98a43c" name="a9abee06272ba403a8fb9f5312c98a43c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9abee06272ba403a8fb9f5312c98a43c">&#9670;&#160;</a></span>compute_arg_max() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Ensemble::compute_arg_max </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00033">33</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="aa6a8b50e438797fe3920d71b878bde38" name="aa6a8b50e438797fe3920d71b878bde38"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aa6a8b50e438797fe3920d71b878bde38">&#9670;&#160;</a></span>dump_cpt()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Ensemble::dump_cpt </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00034">34</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-
-</div>
-</div>
-<a id="ad4c97a92c269dac84f8e8cc760671aa9" name="ad4c97a92c269dac84f8e8cc760671aa9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad4c97a92c269dac84f8e8cc760671aa9">&#9670;&#160;</a></span>getNumberOfEdges()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Ensemble::getNumberOfEdges </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00206">206</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="aac161a0a3b8692ccde0ddb3d7c2f25b5" name="aac161a0a3b8692ccde0ddb3d7c2f25b5"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aac161a0a3b8692ccde0ddb3d7c2f25b5">&#9670;&#160;</a></span>getNumberOfNodes()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Ensemble::getNumberOfNodes </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00198">198</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a7557710fe99620ea6cf4357183a6b930" name="a7557710fe99620ea6cf4357183a6b930"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a7557710fe99620ea6cf4357183a6b930">&#9670;&#160;</a></span>getNumberOfStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Ensemble::getNumberOfStates </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00214">214</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="af96f5bd66371fb0f4b61fb0deeb0a2a6" name="af96f5bd66371fb0f4b61fb0deeb0a2a6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#af96f5bd66371fb0f4b61fb0deeb0a2a6">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Ensemble::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00189">189</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a8c66fd77aabb09ec25a030757e5caba6" name="a8c66fd77aabb09ec25a030757e5caba6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a8c66fd77aabb09ec25a030757e5caba6">&#9670;&#160;</a></span>predict() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; int &gt; bayesnet::Ensemble::predict </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00074">74</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="af1e09b3d229dbf6d8550ac8eefdcfb1c" name="af1e09b3d229dbf6d8550ac8eefdcfb1c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#af1e09b3d229dbf6d8550ac8eefdcfb1c">&#9670;&#160;</a></span>predict() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Ensemble::predict </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00079">79</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a180d71eb7859f96712911598678029bc" name="a180d71eb7859f96712911598678029bc"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a180d71eb7859f96712911598678029bc">&#9670;&#160;</a></span>predict_average_proba() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Ensemble::predict_average_proba </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00104">104</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a2a077e5c89d179ab904ad9cb8c21465c" name="a2a077e5c89d179ab904ad9cb8c21465c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a2a077e5c89d179ab904ad9cb8c21465c">&#9670;&#160;</a></span>predict_average_proba() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Ensemble::predict_average_proba </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00084">84</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a8b21eabaff70af01d9f2794f4aa3f5bd" name="a8b21eabaff70af01d9f2794f4aa3f5bd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a8b21eabaff70af01d9f2794f4aa3f5bd">&#9670;&#160;</a></span>predict_average_voting() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Ensemble::predict_average_voting </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00133">133</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a77fbc0a1720fbca2210ec34d6de1e293" name="a77fbc0a1720fbca2210ec34d6de1e293"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a77fbc0a1720fbca2210ec34d6de1e293">&#9670;&#160;</a></span>predict_average_voting() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Ensemble::predict_average_voting </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00140">140</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad2041fc17c90ce3f91c44e399d54b811" name="ad2041fc17c90ce3f91c44e399d54b811"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad2041fc17c90ce3f91c44e399d54b811">&#9670;&#160;</a></span>predict_proba() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Ensemble::predict_proba </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00060">60</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="ae975fa69541e28b7cd259ccc5e99f929" name="ae975fa69541e28b7cd259ccc5e99f929"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae975fa69541e28b7cd259ccc5e99f929">&#9670;&#160;</a></span>predict_proba() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Ensemble::predict_proba </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00067">67</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a2071f46dc78e4418a122b99e311cdbb8" name="a2071f46dc78e4418a122b99e311cdbb8"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a2071f46dc78e4418a122b99e311cdbb8">&#9670;&#160;</a></span>score() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">float bayesnet::Ensemble::score </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00169">169</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a9054a70158afe147e4c859211cd897ff" name="a9054a70158afe147e4c859211cd897ff"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9054a70158afe147e4c859211cd897ff">&#9670;&#160;</a></span>score() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">float bayesnet::Ensemble::score </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00158">158</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="ac0e16a53cd3b6733abe68efc00bac2db" name="ac0e16a53cd3b6733abe68efc00bac2db"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ac0e16a53cd3b6733abe68efc00bac2db">&#9670;&#160;</a></span>show()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Ensemble::show </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00180">180</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="ab283458c6e8cd3cdfd8bafa60f31b7f4" name="ab283458c6e8cd3cdfd8bafa60f31b7f4"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ab283458c6e8cd3cdfd8bafa60f31b7f4">&#9670;&#160;</a></span>topological_order()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Ensemble::topological_order </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00030">30</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-
-</div>
-</div>
-<a id="a7857edca2bd2a407ec8404562219eb45" name="a7857edca2bd2a407ec8404562219eb45"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a7857edca2bd2a407ec8404562219eb45">&#9670;&#160;</a></span>trainModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Ensemble::trainModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00016">16</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<a id="a47a49609634a7a127b3a1264ed55ec04" name="a47a49609634a7a127b3a1264ed55ec04"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a47a49609634a7a127b3a1264ed55ec04">&#9670;&#160;</a></span>voting()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Ensemble::voting </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>votes</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8cc_source.html#l00038">38</a> of file <a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Data Documentation</h2>
-<a id="a76f6b6c16e9e771f059ad72cbd4571a9" name="a76f6b6c16e9e771f059ad72cbd4571a9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a76f6b6c16e9e771f059ad72cbd4571a9">&#9670;&#160;</a></span>models</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt;std::unique_ptr&lt;<a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a>&gt; &gt; bayesnet::Ensemble::models</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00047">47</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-
-</div>
-</div>
-<a id="a65b82f7036d283358a756013f96bec8d" name="a65b82f7036d283358a756013f96bec8d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a65b82f7036d283358a756013f96bec8d">&#9670;&#160;</a></span>n_models</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">unsigned bayesnet::Ensemble::n_models</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00046">46</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-
-</div>
-</div>
-<a id="a383156745d59959e0652645081c0257d" name="a383156745d59959e0652645081c0257d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a383156745d59959e0652645081c0257d">&#9670;&#160;</a></span>predict_voting</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bool bayesnet::Ensemble::predict_voting</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00050">50</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-
-</div>
-</div>
-<a id="a27cb9d119dd817ec240d8a4deedf0350" name="a27cb9d119dd817ec240d8a4deedf0350"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a27cb9d119dd817ec240d8a4deedf0350">&#9670;&#160;</a></span>significanceModels</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt;double&gt; bayesnet::Ensemble::significanceModels</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_ensemble_8h_source.html#l00048">48</a> of file <a class="el" href="_ensemble_8h_source.html">Ensemble.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_ensemble_8h_source.html">Ensemble.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/ensembles/<a class="el" href="_ensemble_8cc_source.html">Ensemble.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_ensemble.html">Ensemble</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.map b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.map
deleted file mode 100644
index 03173b1..0000000
--- a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::Ensemble" name="bayesnet::Ensemble">
-<area shape="rect" id="Node000001" title=" " alt="" coords="106,168,246,193"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5 b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5
deleted file mode 100644
index b723997..0000000
--- a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-b86ef25f6b5cae66beecc3e9ed01dc2c
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_ensemble__coll__graph.png b/docs/manual/classbayesnet_1_1_ensemble__coll__graph.png
deleted file mode 100644
index 33f6e04e1c55b43dd667169ef3ddbb0519bed5ac..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 11121
zcmdVAbyQVR-!-~v1QAd`q!9#>7DT$cLsA;)4(U=r6a*xtyAhD?E)fn$cQ=Rb=3D1|
zpZB|W-1`3x#@HMVd#}Cr+P|1<&iPGQQ3?l(1Pg*792seGRR}^-0H1p>(ZMn07t#Ru
zg>Eb-B@W#qe$t!rq9KS1k`Whq=bpSf=cW7Z<DJmKg!vbwPr?Lfr8(M0kujM=o+z)?
z3YeI+Vb$uNepRXW8E6ohuDO;?mlluZdQ8c4J<;rw4VDca)x~a;8=f|!#R~cCq|U<O
ztluK^T^o;>80FE=^W(#V!-Hg=W1iAM9`pI+%j6CuJW)*Q!2cY+j*IE>cNmwQJm+~A
z!6wQXsA}c*;ll?FwaO-+>$A;V3(ZPJ^nfLIaq-TUq5<aycj_pySXIh5229ktVn^rD
z_*;n?r=8G3X*-CmV7rk-qC!<%TwHAfzumOAw^yM#9A47!2nh*Ep_yW+JSQ)Y=Iz^>
zZts9c+JShPV^Nt5fp{!G{$Gw4Fp1-hG{5ef%VSa+xuOh9lJ$X<_qz+Btj&{5H62iE
z0*CoQKgXcqY^@_EE^f~+?TQ}>30v+>zklO7ZwyFST3SZ`5@Kb=Mf~C6!2>OB4rP6f
zh>$Wietxzy74SkXj<eVEed3w>4oYjI$ML~l!~S^u{ZcUHa#n;+w`~az5065%y|437
ze{XMF;u~ucn$VKZ0Rcv3S|pXfaxLADVQ(GR`=9B$PMIE@oOHGYVBkM{rVVc!jUOHv
zVRu**-kB^zS?P)B>HPNOume|!ikq7l1D667iiwF?guPvGA*kxs(AN(i9ern!hz@-X
z3zLwQ#VV;=Cs|!vTRK?kP$-{|%N3xwh7M|4ZgDEiVC^*vzVB`Co*H<6Ds8?hlo{VD
ztS}#3-mO`%i>f9)g?p%|;A3H9Tl?(xCvZ@0IVGW?p@rj`t0(4C)6?e-oKNk#5)cq@
z*22J5nVFgGIX3L<>{^u;`1-z=rnGc)#><`Gw5qJs!`8O9y?lJ~nK#nzPUs(!apQrP
z>3*>k%x*qFro}`Q_~pxTSr3JC;<>8R=$X!7sz90ZhN8QtCo)uCUe4xo<udEgfm6E@
z&S!PorZVA+>R(>|Iwm%j2R1)kRbz5r4=?EeGc>B0+SaQs8`u6u`<jCTenY3Op)vk}
z{-H1pp+XYu%jBdMDmr?mTApG&x8rkJSy>2@k&)S4Xc7AS`7;Rb%?m@NM9v3}j*er~
zoAXV4cc-O(NYL=`u*2=?M3z(p#liWxl(%=|N~_mW(9?f4_6DeEXc^{%sgqUKPyMkC
zetP@(9FD)Y&#;~-0jKtS#ivnz_inWkMrz-PpQo78uIDxv<ae_|3HeXxd*NhBhB>V^
zxYu)O6cK9bd*qnZmo)Ri11gfYwzekAOfZO8bTI=mu1elFxH7N9k~FPL<X|cj)-5+j
z*f%#f%BrfL4-Op2c$`qdgfHL*_aV4~7Z8|cNewH#VzO}XBl6##r&cFBQx#KRxJcf6
z37i>tA4(((`b=*r%Zp9$xbA52pU*l&{>K}G9X&l5*hEYYl_L#q_TC^6A^$<4d$LcT
zK4D^G2c)G@uJ<RPG|cI*xXa4O6vVv{6r^ZtYx^@WVE4!FBkXK<CX1N}o78HeL=UwU
zEc5!>nj`qUGm?k9va%u*6@ZSjT>lZCZ%I;7QL(kM(g8xW#GoZLh0o1QLIO?ZH3P%9
z=H_N5W@b}INA?D{{Q>hdpSX>I6caNuy6dyuKGVLq!#|NUJEH|pu(7bTR8-o)iUo-U
zKYAfU!Q&JN5tEa{qM{z>W@odpvHhU*KKL}kB~$*s#*Q-y7Vet>Gi$!Pf>$ZNFV;X_
z94%0*Gi*Z^JnVeZ2&xG&G4Y=O3|!uMHO+;T(>Cn^98#`-hHTu`+Ik@NF#RttFMlRy
zQP0%X*2dF5BOvIE5W0(}tuyYzng<JYdY1Eg<+o9X1y_=`j?Q%Y3e33dHv?rMNNV@(
z(E@Z+%ZMI9nfkiAA>%SOcJ|2m`FVcNlb141)0LLr!@`Q)77Q8(x<a2icYejE?FC5~
zqOY(25F49D#`pgA{N(sJYs|`2LxV^_K;UvKFD;4|EZ`J~yynaGq&MMtm6e>H9v+dj
zY2HUN`p&R7{eS;j{qrq$+5AVX!xYy^$C&u+*|TsDCH_Oy;D^sd8|DT&f^pSGI8%8)
zh7g4Y>D9X!iHai2$;oZO;qXZZ5J@0Dcx9Y+r>joR&&_>(1?6OAwNzEx(Xfde`s3Me
zz#KOB_69)whJheU&$VP?WTd%lLCJHXk6I0U@Z{oTM2XM#csWHY?Qf>Xg3tM3L0;-|
zw31*i28FvnDBQ^cUR*M~yA2hB+<gf@eh9O&vg#CT<XsjL!Q@~=KX!EuhFr#f{{7D9
zx?}N=t90~nsF@e<S?@ieLKK;hFaLh+%A=^U&|F41zsn|`06)K$j?UkU3-^Jfw-FQ+
z6ilyPEl0hO1L2?$<qfiSDo-iRN}GsDtM%*GuOvNco}Ro-jg1!<D-k0-J;C4!EFA7%
zjj3~zuE9MbC<G8W-QyxHjp^j<Y{W)<&`Y0|u9PMSa-ai@YRE}~1d;Q)v^Jg3hk__+
zHLEZh$yKPmzq>|)z&gKVU}*D4LiyL?=XbKdKxsYx>ys*$rrt-wdB1y~Uj{7{0$yk0
zVDM_2DOF~rv0!FU;1E^QGU?|l7M4e>O(%~Lb+ZwSho~s?zSp)N%+2}!d#ym^1%gCf
zS-8J*3uC&!-S;cA7|J9uG5?u}2u?wqsdW_ehYkg>xZEa+>sZ9ahy@7G2$C)N#Q{16
z$mNT(8T-iO<nImp&7^PV-DzBRr-N)~s;OVS!fFj_;B0SiFKns-&&%y`lx<SKeduy`
z<6$#bPbga;*|hm?LoHm_@#@4<t5_pmo(^igyS;Y2T>DAG%#3q*cqlC+BLbccN;hcn
z4L_gryTAP!9^Nf*K8vEHq|_4~i;Rr?ug=+=jL)^dEE3!!40O?@)!t}gL2qt4rPS}U
zv${<0s~_SDoZxkblfx})w%rX(@g2v_ObYl7IbOeZ0NKQQz4r@uzzH1{wH4H>_tiFS
zpu`pyd-X=Wc*)3E<fzO$gE8O)I?`xE3Te4OqGuAkxQX(*$@8?`;O^*Yf2siK+XZh9
zUbj7O8Tj{*5K&dt$B)Q)1C#9PAJoiyGFIEpd;ulNxGRJZ@@LVjHv|=EY+kdj$$DjP
zFC6@5IRIC%HJQiRVaB#5L+&R_OWk0YD|Nn;@I~t<l*w908pM<I_shF%k3J9)5rO;_
zlDMd8XgbO`IyyRrGQ=?YliuQj{_}C?V8*Ti2b30RX=z9XEXqR_6&0--J91SuHFn<{
zcaSASdJV1;@7}#j(KIb`8mEK6n)jshK%kssQ2JgNrHnv7l9EDqc5Fb5nDoUl$8%af
z1~vAJQO6ga{|=e0-Q6%yT2@lr=G(f%NR6s=z)e1l6=|BR{f&+1bF&NcHLwbon;R&x
zIj&9zQKJq^e1nZxtsY80?_R_TwS!Oz1wf=@ZjK!EtM(8=Mu*ceO+H0QyOvv5Z&0ET
z36G>(i+q2%k!EtV+FP{_atF~d%wUN@j3u?m&g=aJZtwM?<erT*E{8A@6B2f{whEIx
zL|07VjU^-`tkfxfh>L3u+672fO2vfNL7<OOfgZ3&9FrpCCx~<aX7g*@4%Dfprlu*-
zpAzNi6qC5Z*4EZ4r)<c$Y>4OP=6Ku>4A0;b5q&>d=`ULxQ~o+qL?ypA#iI1Pam=%g
zTFr_Olm&rUqSp|&8dMf#UD`B0q&T+qmmOAkU+=Qj?zqx@n3v}3#00tk2fz+HVm>@?
z6jrcV8->AT^$iUp9UTFne9itg3Rt;S@8M*9BPCYt>|>HRaOHH^Rrtlq(j;+rcapv+
z!cv3RVG){}oh36#EGenT&JF~H$$Km3r*xF5sp-kd$*S|9fTpcLY10`AIBT-hK<Mh~
z$_aGX@KAB}h&(VSSq26MPLi;jo8v+FTxo3Lj;OM_wzhT^g#+mRa#greuC82f6li2X
zjK)MpMpjj8dJrC59IlM5TPJqk-)soY*4U?IrF<zYQiuwFJ`(?5=*uB4nif=gkHuD`
zJ1{WLH2Tk|l^Pp!&8y{*xObdIQ6?>y;|XbLgZs_b;T|3yVfbZ=FjY>yNbuEMgWK_T
zQRzCsAxYjonYI=M5+j68J2j6KJWp>_5%CKUU^h(!|7X7aMzvC6QBFRdv-dTUb)LQq
zqN1W!vsJ9(UQ|84aJq;uPed`FN)HkI@8c*>ZbEA6d@@g<1v}`tR<~XgnLY)c$3E(B
zLUP*-xfPuP$T+Wh$LlZ7l|9U3Kf`g2Y%m_8cO25$_=@RK#*G*5<PS}(4ytBFn2qtt
zS&Nl-2T=H4+wX)*zU}C*gUnt9X@0-E*f?sFedM}SZkplMK`@4_d?{3G|IeZ6xROwn
z^L;voP|nY}z!ivBY$@=${wt>T!cL1ZPQMeWN``$L*(NmEuITR&Wctr8Vur7?O6uJ=
zUYQ}A4C8)p<W@#12xW%~3yFzk<lsE;<ydvIP{_jfbWi)mX1>_v3RF>~Y2g6;kcFNc
zoO%_JUS%bk$jm9x+uruRzkQKt=_YIZXp`xNWB%uyr22O~yM=o~1T@n@LFpMY>6J4$
ztp=Enl$Bi}Nk|!b)Afx*4Z}}YiK872O#1gT8SepM{*F-ANd_$ui+5U*i>G5I@6_~(
z@tOZ!ExMeGo*(scT3{2ZQ--Chj@eO<LO0&eZI$nXluHCgl(=6=RG@hs$hnU0{CV!6
zO&+Qh`x*JS;>d4{G44|n=k+Hrdxbwp`>&(l5VfjhZx^z7f3fxrFW}5^H_+9w=(`YG
zwf#CfJO7!PvKR~L1_$e-p1|8k2bx2#oCC4%3GiH>0XtZN3McMoE04|jyuWicQ_wu5
zo?d@&SzKkPdT7z(D`anRmcHvx03#YGF?xXMB@mjBo-X|EM5b-a>;YY3?B~qPtH?!D
zSq|>|*;lQ?r`|5cE<QbBwW#3XYsXYxJ#FPv9N<Di<MYRn=!$Q4$oOthrS52%K}z_J
zlkiOtuixP()QSo|qPq(1jw%{(5mEzr>8Fpr(mPm_qch~^FC-axDlAr(heh9h-ae<*
z>Y)}vYpiAC86KaVn#N{GEN&ID)8s*&M=4CRJ!+r&GH20IgiRCcEj|71k!#j7<@-7Z
zoZp^nv<}myjUCrlwAPf_7S)g6xt~rju073t(0~kzR}Snet4V*OOpkkJ0u%NeTz%ba
z=3y743`1$V_fgLyZ#Bpq31D==nd$}s^+F>;rRU9}PmUpqA;#~58VouQ%i7>p7Dz^w
zd#3sgHAW-hm^oCEx15i0j&sF`bAwXgdpn$QH0Kklv6)g)9Gy88Qag26F8T7Mx3>p|
zyf$%xja=3{4@dkxq_QWiPe-DObKMk&F2)1N4p=y*g;4Np*etTlav$AMK!_tf0VNd<
z386tkDw%e!^C*{6h#6x!zwGTV|E;Du_PT9iGvms_m#?~;pk^*SnX>op72)g>G|mL_
zUGRtKw(oZ4se=of?+kS;kRMKeP%7HeYkFNxe?%%``zQO<<@~hE6T+A6m?TuOikMI6
zv_C)lv0tBHV@ElhF2K+6@xTZqqnj${OuPa1h7=@eO=4$2p3^+e7ma88jR3}#Z?*KU
zlbo@;;6oF~gCPy+A)73US-EIebjrwD1*|;0Few()DwRGAMr$K#I{Zobph2_vX9aF_
z)YHfeiMCqCmE}*LF5yCgDy`;aGK~`Z@|kw~54k5TKL+Lm%<}{~gFDxDT9~rFYDWo~
z6kk?jNM;@hS=im%F)Q~qW!$NKx6jnh!;rWuj2MY%B|>>pdU+(im@LPQ?obFZ(zi7V
z8K|CkZif|~BE?NFQIR73UE?fMR6d|x@}*6x(R#6``QxWpxxF85KMVUOse~p+zNQu1
zmv85(^PC@$*HOwUWz}E|@<N)eGX8$0x-Y*wR`|(M&o;yWX*1u(F47Uh{sJ*=Uog`Q
z8Mx)nW~e%<uf1~Zc@z6KM-xZY+ZLjJTgW@9!jO)hUP(nZHaIxg{+D$EYs*b}R#MW;
zF=#|eIOM#Ql{`*WbVsL+<g#Fb?a%w6GDRA$PTE67#2~I+mQdsD_cMH$_ZOaImpdEe
zfHsE&RVzggk2)#mAS(qB<Z9oB{?1>&?}rYkvmLk^CM!isN%{ZUCq_C&j|jEclxfYn
z?$7UP^E8?E5k+KY)9#1<q$vRK%2i^_v}n4)t@LN~$BW1qoqxh$7ELtjHjn42*#bJV
z)mKK%nrN!rW~y!B=A0xWNS!G0xUEU63o)v$Pz17rrtB@i{5ONpZ@?za;GlO{>0Z3w
zNP!x?u1>akGPAOFXKL(Q`V83`v0EvHU-|1o!8FgGukVBX^p9LiYe@G&x-P@%IM_<2
z%{BXY;bslROO&etf=cAr{!^TSZ+)ektYa7P&4X6ioFBy2>w2D2k0A&bLXp-lit&_Y
zI7RhGqKhuT^>?JDEYo7r1CKO5V#r1tm5h&%KLmrpidp^nP>_+$cITUBz(2gDj}(f=
zrqvlv-5@t)|1RS?`H{*&=muWi#{yqoUw1|6EdV>6uOr1h#eoD0NH4o$P1vxp7%_iE
z$Slu+oBOM7*ZukPhd-e0fC2j9Z9e(iC=WbQGpgYm;)fHpb#)5p4zFInKH`7?kiK{T
zQ6k4HYiPJ)`+o*kX-Y;==n+#;G^4kQKy1Vh-H;sUFa691l2rh(<vWI7({2A7(~t<s
ztrcb{X~c=ZbI0wJQsq81f1Th22^V1FCXaLO=DlK#&c+v}j9Sn?8P9_18FM62F4i+A
znr}~Gn#i^C45v-O!97N}xDg!?1(o)MfdFBP(+Hoxg-FcutD`}78LF?R9MwnXMcoAo
zo;_B@cfK8WsghYf0mx?EIYAUIr?-Gq8o2x7vv&HGKWFr7sD1-}D|<kjvi#9>s6HuX
zYi10u!jX-;`^B0p19B?>@J|dYrmS>7JRa*!$j#qt*F2pHao1#^?Y3JZ0I?&vA4Ilk
z$~hg4bYU4%r%*+qFd~S-M#aN(sR&IrdAXTGHH<mq3^{^m4k_S${LC)bV#0^eZ?DE#
zAs1Oi#Z*~Uu=|BOCBdqLR#$WXPJ>EA@P?s_(1bl0%U*3MfS6-{giqDF-0F{8)0SBU
z^jqaHE}<YmiEFI>IStKu6o3TXtE;Ot0Nb|w;IvMxHe3A@xe%$F9&@z`FKrpnkS(UY
zq=o{6gYPqALR4g%u1_Zn%%^RtX=q#a!JSDJVylXOybl+jlO~J~yhk~}B)qG&`Y!vA
zPgSl4aZ_8@EHvSuF^d*cjlT*!urmG7uI0R#`f0NY(^*e=v3X&0wMkES32j3P@5k-n
z%}oohv5Bats73&jOVNHjdG;(}j7<AIA46h$9rn57U2JO_A-ioCca_GzH1k;bzowsz
zg}ab!zB{~sw9NyQtT3hKRP2qI<&d&%m6uGp?Lx*iN4{XC#j!<D@&$v9%LwGDQ6Z}F
z{+7;o%TV@XTu*b$Z}X%vp2zRs`oK%w9#M;9KQ>v<B<8T?==T=hXA;F6dIhRY7x;o*
z<|b<%LEfsz8?9rrn@yYBtZ_C~U{Z@0;hC%-vzu9gOQipEiQQT|F-O%Tt>7=Wxb@#o
z4zmBe0#rA)Q^Yo<?06ox^oBTEQTyjfH<DMx`VI3bsp$~a*R<$yXhGulyM<}11?#&p
z1PX^q#bibLXa@uY^C54X<K{gQ+yAyPh=f>?`Wwh9jF(kJ=<1cY(PiLXhEWY!822aR
zE)qf&n&Im9TPb;EzsQmwf0%eUgG9#6q1^+!J6nGay3s8Nkua-n4Z#uu{han>b(2xm
zrsErpKGE|t&37{*u|_AnLM-b^OI=_!uK-I;q9_0Op7Lu~NPL5F@>SBj2g_Kgc|0F<
zW5K+S_l8lRR(xMx)bDjJ1IgT9_U(^o{E9&@*v$rp_y%7bzZ4Q#Oe43kTgf)WqE4Ls
zUhKUyam~F(L{1%O@im@Ski>+}r22^Azt@lr0N|EXN0xtlp?IQ|SYRzTCl<&&b^f!U
zHf#N0LF0?PCHI-soA}svzqp~3?PR+>8shyk<~(Gh5w6x3(=Mj$PCef5-gFGLHlU24
zlM*o7?GZ8;{s@he3(2+6VC>FcLp6J>MQpNO;c2E#RPXi!Nm{kFhAz$c85bVT^S3qF
zdY$plunnIP>TA7`6j+#r``Ig7y)0-}4q2$XBvOb6Xk&c#nK+zQLT%HmTci7B&>E!w
zo<~DqN*C^fIQ0`N(hfT~Gv+gcE;Tsm72P)u;l^OISIK?$vu_E|Z5i`jV+pV2WAX?e
zX!geE{u}$tZbeA24DnN#tQRRXi)Q&?`tSM@Qas5v43VQYPb}^PoF%22?5*NHnZnwS
z-6O$gIyH<v^}DyzbLmq_PI{GM3^bE5@PD8;tkO1dRGQj(V&LIq#ayL;V%G$?N>3@v
z$B{23P{T#r{65cX>l7UwIS~-{W(g)G62LS%CnlZ(g4DAIk9l-!BoD#XZ<1%hqS+Ow
z106mQ{C^)|T$}&VDNe&PLOIL_78A@<+iD$G@F*z4wJXf1IXFfRJ&la0fqoGR=xI7_
zKYe`)#2-gT*ey0LCz~prJv}t+?D$@1J8gitO8n52c?s}RfRmHcZ!;K4lgW)4nB8wJ
zCLDc10ReIpj7Oc}<a}&^c#u!##uvIdKmodh<H4c`BrGHI0Pvg&QYzLqV8bn~pb(U6
z3Hbw#H#<9fG10n21l;-&rQj?roKRG^)3}V5g4g9MPMP%t3pzS_6fHJ3wzjgeGTaGl
zC`UPqMQk-<)6$dxlWfvFXSdNCO%L}@gPEE5`uYaU?2H$a!pxiloWsa?qJYj(Iy3+p
zHILQk%cu{40!14AqcTzLFrIgHB^L$Q72O)Ulo8YI=~P<4y#5^?R?XWl1;h&jAU?US
z;TfW}onx6>`}>3O@x-p1|31kwD8{pW>gwvEm8qEOPfw@1y1uReOuhHXkd#c+`Meja
ziHQmME?~D@;p1VXTsBlPxw*Noxw+$0Q&RyEyTUQZzw(k3(Bk|6PdR}tdpVE<X6u~k
zWsbl!PYw^4hI8bm3e@NUw*gipIVdPdai($U3u%5#W^gcuW~shHly0LtyM5gnkyLZx
z2q5U6L%BIQW0Mp;;p8iE%<rYgnG!$RVw?Loo#{wQq61*?XL;E;9IS?9R-~Yyp!Z7H
z+gkAc=0TMY=K`C0Km!0cRBJW%%5`rx0npvH|9pRDGKdqF5Gg=_UN!|U$8C4IOVH<v
zO;9kEmdD~BRmuCBfkULz!$Tu0t5*}H27>?!RAgp;rcH>65jQX}h>MFW2UIuM@o!WN
z3ibh-j-7)e8o;f!a??Kd)j#;I+oRt=%l?(0zsOkH*q$L49M!1IiNwasoA~0z3waqC
zBSS+fp^HTnz`MK|<b;`V82H_u>g2t(nG_CaTl}N{Gc?ppZzi)@aBO1XFQqbgl{bKp
zm5E~1_=S+M<f9a?^%EQc(gEbXQ!YbiPHjwPLS*Dp{CVdSC5Jyhs4Hi7`ModL-Y7VG
z|3Q#9fq|%C*25DM6Ds-3%gfwAFN#{7uChkF{hJ%_xR{vVfQ142#$r6X$;F70(9qmm
z3W9!7O6C?(7}3(u&?x>&Cg3?5Y1$t6!24<|FQr<h{_K>Wn)(x<;{ijZ__IidGX?Q#
ztfc+mjDYk3GX!r9XWQ!qLn2HJvGWk{JP}@K_8}jkrl$S_g9Wu2w$i70e+Fw$#l-Yb
zE{^HbkOe9PsCgtruyNT;LO_!O1mV)%^*#m!Flc&qHY(t7h41ffhX98R^hb1A2HlTi
z>h6GNEAzee1X|7$F!*G-sazF5Afv+Xz5a(mF2TaWYQH?*INbNUZ|JuE4?q0;#~A!u
zh3(QWC7dmLAClp7Boy@8`e))CKk~?`Q~)>rWy~t5_X9Gtv(Q5M)4-PpR1-W(%7~a4
zg22E)2)a6jZ@4eqo-afI6fp~EE1*jPITqC)TcQ*M2Dj@@{7Qfi;DnR;+#b;@rFH_5
zk=^6y!|M9F@l?5~`({Qk8<3f#8qhoLeFZg%Sj}zg3;piz4h|37K)kaVcYd`hW!5f7
z1;p5!kh1@pDG068vl_v$DYv1<Rr!jr@+q5eFJxRYZvQaSx5j{B{L|kr4%9R}0s>TM
zveNR&>({Tzf|&UE$q>{$&|TR+ZoiW%YuK%x`H_|u0b=7vXPHS49wA}SNBB7Pn>U0A
z33aN%e5lG=Q(QuV$F9z?TRRCde4S7zK<Nau$BTmwT<esxv$O8yuF%5)zJ0@$?y%oF
z#rgU9t=nToWln3d{V9Ak-B<q=5cQ*X^}}w|o%XBS@#}<|x^4OSFG1-WHe^Fk)*wsL
zfr8`i&fVa;`xnH5!`~PN?}IjsDF8*yOid$cHwM#`pqs-U%A%?ypoiGo+n?>tCDBEH
z1JZ&CkeO|{NP}@mCEeWI9#Qbe-(H=r9If>gg&nGgUq-IRFsLEK3_javT1uZ26;Dr3
zCk5?S0uY2vg75+WAWPc|q??0j>(Y;v&WDw`mfk?R+}zrd0poePyR%VIwK|@r{SwUG
zvU&f(%xrur@5@O|GrNMhPbs`Q|LRYCE}nX=DreE(zkint)bgzQ@7I1B6#BdbG8B0Y
zF7yAvKce0IU-`$rbKmhXIvFWPXCR$3fEU=B=66>oqP;y$G;nqD{_1^fMRS8}2)Kc+
z)sTw>(3;%#=V3*q&522G?d^s?e(MHXXb&(02M}k(W`n6=QWPGjZu1^_^NxWQk*nKv
z4ww%fh{(!@%(Dkt46VwmVN&Z-N&KIVCW*z;c6KaL(b1>jL&kXi@D>M#PJ0@OidbdY
zTlJAj@h0a=TD~1>li&uQv=3BkT%@2on=Ofw829rN9is(rrASn=0u-i`v(nPx05xS8
zmCtL7Uq6>ntCS6iKZ5(^u~aI5Nf57y%w*6>!8jilUlxR*A%=#BSuWwU)A$UDnPW@O
zz9TJSLu{?Gr`AY>na==HEPnLuI^D2|4JkU8&2re&bDK=A@`);^MA6Y=-pR2414ush
zm|$tBjK*$)J<dWZ+ag3m!ns2a;x8Of^Os!qO?m#!RT3aCb<9~@;RcITQvZBQqN}ZF
z*-CoED2E5;JE$m<jICOIeduD(_Uz7-Gv^R9#3_0Zoj#_+hJ;4!FU09gJM>5fOa^@`
z`{iTFSK^(%U9D!{X{V{dtkvTW(YzpHthJN)F;2eBB*tiqG{iJS@LPflH)I^JB+>Z)
z$w!Lwy#Pz`sFNG-g>bB2pk&bStC0<YAy!vxudPINOllnf`FT3zFL_xKW0Nhhr~|RH
zE&l&>jG0FYbOxGen{0uY=Y~ZjuO3p&D)RWTC%xsjRD)*kOVK8=N{RnMh6vrfwyt-t
zu#HuDAC*~ALn97mRkaN;UzCy&<I>6sLI!Ix`Kqx9G%r_%L<OmC&LBJljr;$6bUJMe
z>xIF(04#GD6gb}`&(XG>Dn|niwyN2+hup2TudgWKiTZ|3OH5qcGH7XCKzs!y%te}B
z7vNi4dEndtrj#tV?+Z3d?LilyzK}NF?9DYe0(2Pj^XJ6H#AEImRsiWHt8GbFxiZE@
z1~_Ma16#$9U#E8ipt!g7^<m4_oyi%20u`K>XC8JQDGtPW;Bm0_Nz1iF2yUm}ORKpC
zQ}{5FVC$;Y3%7f2#O%i6O?_jrIn9EjW9NUlc3m4*<cG{E+U#n80+!WXK5!-{HbH*^
zauBC{W>>4i45#^ek8je3Yu0@wEFNgj{QUesQd7et1g|i`!vfL*A--nIME|y#dhPDv
zv4rb)fdbmk;y3!#R#5%e0HQ(24@H`#k|5RP>7G1){u}{hU*;T4nWrr!**CX=wusQ)
zI=i}-3X4ia!D&RyI)Mlg6cidsP@6!T3l_S+9NheuA(mpxqEm?pV50j*iW{PpJS68O
z0LBS4;K4cE%!)u34%@mK{h3oD2<3B_1AGN+8ebds>al^9<RvR>4|B~d;LH4hl8@!u
zK)$rJ6wmKbK62~CZa$;43HVe}m%UjYFgc*6Jg29}VAL!T2P$ND1Z4#96%d2gBxPao
z5_oP7LA#{}xB*xbB!Tn=yhMV;VUlEm-atSjBxW;&{`U1D%qB*_I6%x{_7K=v4!TM0
z)4`iVI9d===1+ak2YY*a7vNUE9akj#(}XBngDMJXq{0_tHT6Xl6(0d0$xO!W00A-B
zB*nJ7r)LGkNl&Ha2p$>PLueB;$*N4pLrw@G^u1(ZDdA#eW5dhH$WW}%^;nDjc$U%J
zJY&NJ1jrSj{`CMPh;W<$<gf^ugd~9MaZK8u`Sxl%wtS!QIAzn6R-C?BWzyjkcs62_
z1r$jP(Ckj&6S#<H1j@Yhb1p6-Fgij<2b-p)_4O~w$z))-R=b)NfGi+?V0U;(!ih;2
z{owk1KNx1#k*|^^{1|vDh+lue1Uov6C`6A2fK~;#V-N~!gut0r71I-XMZmUTl+-R`
zA#MkJSc)^h6dWAb5d7E%C&E8P1$<=FEuo<nw%W<38Pq)cjmL@zBNpf|NDzQL2*DYc
z9+<yN(g59Z&86kt+O{h`ObH|nm5`8-%hqrg`&^MG>&{%mQ&|QCoB|FfW!VgX`q_wC
zZe}?X<S}t@By@C0N}A4ec4lgDL0y6T8yopSGOh$Y)z7a^r4aC>qN0L8-*-+<`M5t%
zjsPk^SSIgNC#L}e{GPG_8;W;0&qjVRhgJx3(wYMViqu-h3<yWEQihy#OR)10OS#S|
z%$;P(bOd@rKuAc4Va<#Y!nn{AK`8}jKgXR(cANReXG#L61fHkcXplRAyX5;|pVk3z
z1-W@VLbqn&XX>1pAw}@UD~w>G>>$`ww6wk!mDFR2eR(JXz5yGKZvb2A0%#xZTI3r>
zr){64P*BY@aJ9%}zIL4w_C|vRWwgnlaM-%x>zC-#4O>9KB5Dmp#mI;aJUtyhsKp$B
z-3=sl2H3ek{$Pti&B{7>*w(zBXbno)kNEhnzkjp!1fL=7T?lMD=eF>Pb|6(CG)L~|
z^A|7B5)u;JuXk%4K}KC%Tr6I}OG`CgZZH2*fY?aFK!I{*N(0*l_u^{HMN!AP3%G}!
zon4dWQp#yYb8<<(bxUozUf><Tm^eqktp(EWD|q0?AoXjva+BD+FC1Rx0GipA|8h0j
z!Og7)<jgmG8p%b2`>UtGFt)g{5sWYnfV@XI*~oW4ZVjX1@*hCsC3>L%)@S7BV;UJ5
z5es;7K14_9H{)0zOp8br@LC4`!`kb;26&Uq41k?@BqSj~lJ799Kx8|x^K}AW1-Zof
zvL$q}8m)w|pp0rws3{4c+1u~)Rv^~<;~8)%0SlPq6svlV9(;yH)Xxc53|sSZ^$hr#
z2G%w#i3kW<EjZhIdh(`k0DsUrGBV<rW-KCt#Ou0)nM1%tgbk8KbH(_P!_r?nPzOL!
z9|9ZK9`7jbkJ|*lG#Ei-tPK~lf2?}Y>UgcRre&m7SPGmM^@Sz3!&-1TB_&o?Mn*4*
z)Y*AX#QGf{9~XUWZfWrgTN_9diU3(_v(QW)O{Y+J>JzJ(!kQc7<h|ymu4jvEF>c`V
z>wgdR4*n!euA37LS_HNRg#7^!sN^*RnABEL912K_?YpdC)Ao<=3m$Xo{~bSkkgtdZ
zMF|w}f_ZjvMiA#=p5_*P2ni0v`UKx+3xQQ<=KnFK{*Ohq=uU_-D{4S!(Nq|CXdxL1
LMe!0*!_WT<{!Fk(

diff --git a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map
deleted file mode 100644
index 27da9cd..0000000
--- a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.map
+++ /dev/null
@@ -1,19 +0,0 @@
-<map id="bayesnet::Ensemble" name="bayesnet::Ensemble">
-<area shape="rect" id="Node000001" title=" " alt="" coords="213,153,353,178"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="5,226,123,252"/>
-<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="232,186,102,228,100,223,230,181"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="147,226,267,252"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="261,191,221,228,218,224,257,187"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="292,226,426,252"/>
-<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="308,187,348,224,344,228,305,191"/>
-<area shape="rect" id="Node000007" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="450,226,566,252"/>
-<area shape="poly" id="edge6_Node000001_Node000007" title=" " alt="" coords="336,181,470,223,469,228,334,186"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="214,79,351,105"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="285,120,285,152,280,152,280,120"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="199,5,366,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="285,46,285,79,280,79,280,46"/>
-<area shape="rect" id="Node000008" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="343,300,494,326"/>
-<area shape="poly" id="edge7_Node000007_Node000008" title=" " alt="" coords="483,264,435,302,432,298,480,260"/>
-<area shape="rect" id="Node000009" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="519,300,673,326"/>
-<area shape="poly" id="edge8_Node000007_Node000009" title=" " alt="" coords="536,260,583,298,580,302,533,264"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5
deleted file mode 100644
index 664bcbd..0000000
--- a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-d57ab6e4c37c557ee959ea8c8835847b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.png b/docs/manual/classbayesnet_1_1_ensemble__inherit__graph.png
deleted file mode 100644
index dc895de4cf0b77646637296b7f0aace7c454401d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 22170
zcmd?RXINER&?dNvA~|Q2AV`#qfF$K0NRkX9Sp-2qf&>YID00Y>E>RIA=Nu$RkRU-N
z=PXE&q<~1AI^Oxd?w;<M?jQZkj~VWd^LXw)d#}A#t*W=)dTWJfX)2QtG7=&PLUKz5
zrGp^YIS7KKMt~3BtcP)0zz4pSnlcJG!~FNQF((#5Sdm+(>v~?PKc=6U#NR)aKOJ=^
zz4i>7eUpinQ8guUDLE-HGm$9UE`rFoPcN-EZDh=7<RGQ{pRz(OjUoQ-A+bU7%FJ6i
z{JMi;0`b(ACJNWb=TnbPPH-g4F3^%qUETJUyCAdcFnZFo>4qh^={7w|LQe5N_#4mJ
zy%NxcZaO_&zb2-!p6khi(yv=Dt{+)9#i7vla~`Ni*f}VpFURXp?G``pB7LdLZXZLh
z8InJ@wG}ltXVKWh%DcGG9(J&lV7`0hIXZVH5pIZvzg*ll9?Sz7@c(C@2{G*NZ{}#e
zZvDB`Q)c~%vQf=WC^>un)8#aNx3sjhi})mrFRpDhRLs=)uMTh?ubZE>o}L^<$HqQ4
zYxK4}J^r&YRVRwfb;t90ZPtC?UI-Ixot~bapS-Q6)&@h{`Pn1bHatv|b35(k<Huq*
zZru1<c2D`obUoc|nVlDHHEO6K=It(?esO94Q<;%s(*jS1QGQ8D`t#?{i+dMm+j%WU
zTy=&An|MyUJ9~O|&bI{%KVH#lINGe=GydNHPT8eLpk^-RQPXu43b!MIDcJn!AH0^9
z7D?X&A%vBWkLXdu4*t(yzt*!}9v}PunEh}uIU5Vf$jB&tG%Gjd+(x1T<J?*7T)$tB
zLZOD#IWJvukaYcq9{Tu3*5?u{s{#sDY*NS0z`zhMCnzAGA*NBFosyN6lM^;<U*!B@
z*goFv`)B<>(qZlFtE;QxP8Av{5|ngwhVPOIiHPt5E?v45SLZ)f>oQRDXqNCxN&eRG
zUV6FoIkF4<usZQG@(yD{6co2KHE9u=L-Pdb`~q#%C2nq&k)pe{zoqmWquAN&>gr-r
zQXc-^<Gf;0%L?<7@%uLc{8;?$#7kXydHEzMx9r-wx)2@Jjz|{1q@*Nvb{N3r>({R@
zeE)v=^z>B3_A@gDMUs$ZAWBJTe1eCcKTg7Nq6;QV31xkDdP2#}%)hz0IZ%FI?a$Hd
znG=!07x}Y>$7@5k8X6n3OzS<$eSSMpP)I%bnd$Z9$*1!BJs&$emDRaoiJ2v}U~;T#
z`cj<U--^>&SX<*QFf5^^h~`xLr_0oH`hG#l?nZv=>Pr8+rKY3Jis|C~t^GrblFuB<
zkpzg8^PED^Z#EvDTUPh(DP>wo7CmIqm;EO(kz2sH@>OrII)jW?X=0zv&d;AQqh>xD
zU>$s(vwogcez$JjqA)Zxyi;W#e{gu%y}vQZx0@$IoC7P^r{&njgM@^J##B~{jaS%4
zJzgD9qP=3m&CXsk<6TgAx8^ggN<%{f=EcjOo_O!<?ZpQMVpC9rL`Bg(di3a1Utc^t
z+HSJCNapBAMa=8h0=A!1ql-=JyJ3SYeft!<u(-$p=Afgc#VXji8?(DLYmN$S<w24p
zT{5ii-~ZI)cZ9JUxq~^JddE;b8COPFjgqEA`>YzZ*3~#3UF()Wyq`n5w?8Ec-@{x<
zdQr~7M?>GQX7rqoyVF#yHcYK!ntqnAWRV(+`1lu2{{UP(yic}ieq8MAe1^qwlaD?$
zPBg_0Nm?``Az@*Q(YoyH?D@u~t#(#c85>PGZ@g6x_c!<q3iKl{%3n#&9>1YfU{G|4
zi|eMVn_K(j<RmSDZC^6yV9sqiifA(VW3A)k<4dx#rsd`3m-zV9X!(s;)6>&k7e1bM
zadC+@G<%|S`uoFKNVZ)}LV_We*lRhz34@-ovU^KOwr|QNvsI?$Mn0UK9xXlcKT44~
z*&X~j_nb_1eWYk<r}H8mMcJgMk6)>wt-5-+mzS4{rDgi`p=$8p`w{Kf6BAR(s?mfP
z#t(m%Qy4dXQNj`q4eh+(W<U2}w3y|+$A*193ngXX(2!oDI+w$EIiBhJ$JakRJt=*>
zssomR1f--eaj7Q;L@-@#wJNjtwcM8|?aqs^3JX)*xpQY_y8f#7?#i<ZvfdUO6IEKO
z={~<Vz0OX4m%+kUKAOG2#>R$@h!D`d4TE(&^YrvozJC4Lw8XmoNa3A>@A79MbmqPk
zTOZEk_J52&ubF+y#KXhmapY7&w!cP9NO(h2lN7AFp0Mh8fAW!0gO@O>d%61G_j;ZD
z<JU~1&uG2|dq#Go+ARvH=Jqf;Z6hNBTU%SC`L_JY3(eQk^Ucq2jB1_Pz<`5ay&^{x
zEG*t`xa;O<wtozv5`KE@Ra;*_`H!Xj^m}n%Kfma>IBOyiIzcm(hlj-H*Vlrd;heJ?
z$h@VZq0tVuxwG9y#=+0uJ5u~<w{!M2r)8g6N~8{DC>0fz%Y17P@4w@AfO~=YlQS`e
zU4M=rKfXVZr4|j#%H}ZXL-u1hIyzc=<7x4y)7&jTO;`(X&CxhU{IvY0@2L^zm9K0L
z6P4#<xingnL~Z957oWd<%ZfBF_oYN9CO#kvSA0qQ3|3_M^Xo7k-R!X&OK1v?S8v`#
zCMMFO31VVm$S+)obYCB_guMqbs(Gm=VIBh6_O|n6%+39=hg3-F>(?%OYx<MFes4~P
zMaiGmc26R&l9NN@;;1t-Gg&1hXkma42D3@<iRmqB{`wNl+qZA?-zmr4YWPJ8ZtX>D
z>kVpZYKy(KVRU3<@ngq+Sdh^ZlN5Lz6iSby>b2WMoty1>GO~n#07N)RUF3c@H4iuU
zEBGCQh&B4)=twQ$imCO_Z=Xbb_8l;O;L_#GVd$>oKfmw-jt|#M?oUL7giyd!SI5fU
zNnX3wQ)xGNNnYNZpEit`UP!^j#3b`}nj9rPJvX00A-5=9xwTU!x(gh~{h5X*9+T7*
zFm;izusy*SpMqB+qUC=Dp=M%&$FJV{v)yWmL6PyNu4s-WFoEjtdc(g(Z9nUc2d}LS
ziD{U5&EvUvdeXt4i@SR~1c^xlDRQ1`-z$sVhpgoduYMmgGtW2P%$H7eQ-x?oJj|8)
z&p)ZD{B&1La-Gk>lFhhYz(kJy6J%WNkVMQPT{*C?`ngsf-Zbe*TqE{gXXK}r=jR?a
zdf4kbhN1;}rF8WDN{YeWsd<c<cE6@8x~>i7F>XA6Kjb2CR43t=M*^6HJ;Nrqc)n6%
zU~q5=d{g{-$p<sJv*Tah)3o9&f48*DXP#(HFo5lY#i+%8<%{hQ5%#VGqtRXDUe$8Z
zng9zh@fh$7JG%(=1u0H&XzXnklK<`JT&ivcuSugfjdIk5;d<f>5s2%1SDvAB&4g1a
z^>3h>dcJ&7wztop$r3w%Ht6d&k#r?z-Siv=2T|B`e5x6&R-<cNhes?frs}fi8;Ul?
zIU!D0`P7H%Y2mqY@GAL+Tzp(OTI>fEGgagi(K~Qs?MBKL9ONyvQ|bl2t81oY0IHY(
zR1K%(Zct*g<{sFji&)0I+569{`vX29gkg`QaT4(<vhLkNp{$)@4)o+vai3nC)1p?z
zLI_tRMKAcd7lxwI#F6uH=(YCV*DHd7`%9Zww3L)}L(pj6c4t-8-i=C;i>nFF6hY_M
zN5k$!CBt+b0Q&2ir{zTJ?ojA_CnO_0ZfJD2eNLx@LPcQ1sHCRGeWys8YeIvGEL%@V
z?!aipFJK;jaZ|ZHYFAB?ujON>ReKd15v*FrGk7?&y>VbI7JYEH+<+igfNk-4OA<pG
z_!TYu>YJ7(9z7@Fh5a}0kOFRXyIdGT?ha;If+<_9IZNxmHX)jX^m_@ob;apxm^-%I
z+QLTX+G#iIkQ{i{9eLOXwyVy|bN&uNq>dS21ENqQjy9=X;gU%hu#2+xJvK_i;8o)1
zFqHo<e=4q;BHFqY4@Zju&3mqx21oloT<x!~U-i{_sM|r)_)s_|T`~CP8UX+3e#yTV
zzl(bh$k{!xrlw{li@t;21bdDd_h8*Ll<nL1?~7~01>OnQQPwK3PJ7LhlS}}5;R}5C
zodu<10Nwxo&%b^Eg?iZn_5^?bE1#L~AOK;2y>~)-82G~ZE&sD?HzS!t*c4yRmH40V
zeNL6S=W~n!{0kwMU!|nn75oeKscy?W1Bi_@uMXyvInUp47%Rnsc-syE<}bLmzSzbS
z9r-y;KC0^B=$dJVI1wr7P1yJmY5uz_+EcDQ0td?}k04Ka=Car^pJ4v<y0fzoU?XCr
ztGm0E=~06vQB>qVX=za>N52&Z#SjHOJ!(wgWOAy-va_?3gmBsDkN`H6d;NbGh+lk<
z|1VIdnZRICVkQZ76e=b*7Ed8aI)8$0|4`4=UkMc$7-&8H-rXZjcleZ=0s|nYrcCNf
z1R?6;-BM8@Z|vm7z;&D|lANbcpNhCGtGl?lQDw!2vs^O}5fxQJUAl5b6K?YH%a_~7
zCnxt|e!&}Aw&DVcEw9owGU9fesEh`P6N>JF)QeM6(r9XWI_rMVKR*GMP1CNt@jrdC
zI+Pdd<>RAP@3CPG!IPcc_2;)+7~~9>0kn+*{KO#X{MMw-wcRP@>h$AS?yQf)!}<m#
zW&-T&YX9&@*KfY>F)&}9RE}h(KwRgVpAjB${8!N2-h6C5wy~3viYiMfj5a1IiRbw_
zGTMr9els((pA!#DK220TT-vPPs;<)3pVigT`FrysW6q|grgFcdea6Nuuu}+07WPb<
zSSosYahX|JpCImKf`yfXwNOyh?Ty^M5A#^f`fX{6^XT_h!ruC5SV>6<gmW}n#n-n1
z^L|cF#nv`9s*}}@OXId_@jrezNVzSCKi-(o|3}dL%H`W{s4rf;_^GSw6@dCDt62$|
z{%5D`I@Fq2T@X(>0o{VhT*kt}`q^^s;+Ugu=0fyfZLQ>!y<tPX#zvRLn}7(aCkk}r
zQVpsE^VfCVPXzubvO+>8cl1M)g5pk{Yu41$qYZX;k0Udk#Q-cESi4ANO>o&=UTc(^
zfVCWd%kB;7Lb_*OW?bZYeBjbA)<<h&TxHKGEG!I(9N)~$OtpgK!x8=@IluR4wC}-u
zFeXuh>@g-jo)chexkU^1c@mO%s>_<_u&}U(pWS>vKb)Q17So6Y<R)UdvAa50ZH!6w
zzR3IvpO#Rv2SEE@q3iGQq&fThL5*_5nIDFObbb5;^L8LX&eNV%6H29|(2ux`qF612
zyl!Qps$j!IMTI~|SJzS`sq}siEo4i0Cx?4&uxTwNQm_ywC#OUqOKb_JDT1)}z`m5L
z_aOcw0Utl2Ak|6t+?s(veh!1NVNc)S3EG^lUp)Ce+j+RR-rwZs^Wwz|z--m(vPE}m
zs!wL8r&;ju@H{39ivTu$`}S?Feygcqd+gDNla~OF6*C>2Dry9O?B#Kt6lrQ4&eVHu
zO>E*rW)m1YgGVmzi9x=WmTZ6#u@L!_T`Fn!wHG+&NG$-|j@3N62(AP{o;`b3J*x3q
zng%BC<H642{N`pPuoqMc+O@lTdrCSwF#-yv4PF%E<KvQ^o6Pv6%;;OOTx{avG(8D|
zoo!_D;iaWQck8(ZFZx&f^8)4LIARcWL3VCwDQIlWh?r3<xAz_xtP&V~(AS5LU{C1Y
zym_<gq$rZ(2=L`FCKY>qho5#bIXRe=r8Qe4MaXX8QmT|2zMPyK0U;qa;xN;|5E2qn
z-7IO{MGk4Z<>pjfqR9PF0li3iVQer0bV$fEG%F9!`T6;IqZ%ic{jJ$3G@8Jq$(I3g
zc>*%B8i6e9s748_=J9a`!xFP9S^uq>#sdIWe2p8ct09nj&%O4XX@O^J85yBr8x)!~
zGWPfPW4tx5!|Y5`>1fXT{Td0s%Yd;&DknZmZA{fwya*0fQ&0#1H<1LRfh~tg)QA~G
zP~efW;FU$5{IpJz^{K9OoHPIr2+RRQ2yBI?CwrqJ8yz1%qH}U`9{(8AhSj-0QE3;G
zmL^CWrUWpZ^~#ki139-Zo+l=bqv11%OL~4s<gza6FTj2@BLgWix;IHw89dq&Og}Y6
zG#(MH%9l5?jvH|witLgbwp)o7HaFoWS1|Mf#*m66Sam!;=QaAdEcYhy9_huN8eo9$
zY{7p5Uld8U#C&Dtw{O;U;97!?{2}KPnZL}**<Q^*1pI~d%GdPxYD3qK6JQ8>rb_IR
znXh@MlU|T9TCdVAu-8R7u$4<duDtXgfOlAD7&C1TS0CB!ADZ3$KV8`xqvk^n$eWu^
z_V3mKhqv_Wi+stbWAq}RM%ZR<njwtonVFYlP7fBncKeluy>}lp_OO9#rhij(dx#+D
z#S4qsCO=G|MtyUZas9uE&{7cJS;0Wf{ZFc9?$f_Sa!-Q5;p9qLNpiXhWeu$-XFGna
zC*}Cl!AL3bb@jVfEJ4C;41Q)m;WxgNo#YZD<`zu+^<RklS&B2m+kKyu822j$BiE`a
z5ujO!%M`<WoQWpKvpivxFEIGC>k0-7U#;+`wxyUNL&y&@zgZ@J=A@vAZuyIdqtyuT
z=135sbS*s>Edc5H80<OB1lI<&W-vLAP_uK4hSh(*4?lSJ_XmlM`Z8h`{K)s1qqycO
zC8DW!_wM`$G8PoO9F8?-d?<(afITr^7ZCFh0XQn{Msf>Yq-e@d6KT!iR8jNGhgW)c
z4+B1ZtWyq}U(6E<8U8H&6c_Bn)BuT;J@sE~O!%7Oe9?dfA$K#b%-3cZvNi_>{E%L@
zy6j8Xo8fFbltB44;J<t?elNHZ=j+Ap%`bEs6;@V?!w{t+&S9W*9OcwGy!&Ujg!txK
z@OfcY7%5;@T=`p62+9L=%&|47UDc*P8w57z8m+#4ScJh>L&v@0R7n(<kLdx`=C^ZT
zLLSPR{;$3K|KL*<z<+Y+oeCQ~zN|>VxNLtO<Cp6^Yh`Za6VCW<SZGwHvc--@hqq#~
zgyiH%mTRq_LS~I=D#1Ll+kgeFrlzG`GsUNfPT#)D9sT^tlP4|H)23S@xfI~7Q{y2=
z$mItU#u)d1mmU6h+2Z&iO8ORXBUfjApJNzaQ`P685fMrT1_oJC5sc!57cN{NG10!W
zKa&7>4R{e6$bN$=Dk?~a0j>GLe$0#oHq#2ct9OD+AFY7#3(OYm_;LnpkIUh%9iVW-
z0}*VWEw!gl<(dxH_?-V-X3scmgH^|Wm5^|bBJZ)^5C9Zly%h2$Ouq_TzI+aNRvNR*
z>|MRRFKTK$vq}cVNZ=*oFSHaE_Q9n_{QnpadvvmRT6}$beORs}-#C9=QQuF{ZqUAJ
zBGT8GpVp|zp!WTH1Fz!7-&xs{9PAkrmXe$U(Zlxb0Kj&@gEm{0%>j<?0FW@hwifzM
zIcg#Hw%m0C16p-1Du~O$U0o{t=1t7-_Fi+(&LPx6ML-x5#$LYNQB*S%3jPWcFY@y8
zoIN}`AdrCF6L4phI!;O)1KLyq&TDFFN(kV~<E<GMxD3O4Z8rWk^F96Zy{oTJ$-;v5
zg3k|O2yOb~%TNG_PD%>#oOyCiH(UMs+388yy-reQS#N5$<zB1+!kPkIQvv-wEQNUY
z?5r%y{tP90Q5#}lSfc^w10p5jiaig6K4+l;-%DbKKnT_2e&*d3H6`HxoM5{@j(h!@
zB#YYY>7V<l^8Obf%Aup8l%W!Uforh!=Bg*1+T!^Px2N2`q?><ux-ytUW@TmN4Dq1N
zL1GaA0yj6e0<19RdB6`7J;x`x@!$bBFrnK3YFkD}>14fkn+?tVg8WZ^r8&E}v_N7K
z0vtakK|(?!Dc{IEp#&P35|h_pZh#5<eOG5q?xzsZUHRDX<d=}+gc$C*b2!KZKtit6
z_zxtA{MoT60RNsTI&$)WNvHZgCjr2{1?6PJd(&2Btel*9K)}mHGD`&x7Z`F}x`Zp(
zbifWlw+vX%a7OX&%_9-7ZHv2&`_+cA?^=P?l7c-kFb<^AJOF^^W(8RLbHI@Vp;>u(
z32UZ3nBaY!Aup7al9~q|i{SkEXJ9a}C$Nxnq|D8*?u0-~9`6p`E;Zt(mvEp*;l6qE
zW@WNQ5Mm+$1(Xu7Jho;c3Jdwe0i@iP`(vGC4CRA!z`;M>oMHgbCFy_KFfGAH#mpQI
z6&k}QOb9#@m^<U;0$-z|LRufc+*_}~7CYQWP5)Az&0t#R1qB6ne~eSvR4@QRReIDE
zXE1qk1BDXDY$0j;@p4Xp&G+l4(-qGh1HRExozF>o+B$0P4@)lncm;{gTX}Q~20rC6
z=_u(uhj{P*2!X7`3fNmD0O)^AnjA!D#$EB+V`Cy6h{r?;$K;I%_aJ$IgzVW}r@Hq2
zh5<Lp*RNk&mKpu1zGEn!<Ys(FVE<4nR{Cz`11zN4Z~VRc!^wN9JP(rbV?XIF9qAbR
z{h(uKhuAwX469>VW&9T>+kSZyR8k^{p}78hPg?{goCz~R#A`Xp)}ds5wB({ep^@b^
zD@JN+Tx9#_&%m6V%VxeiN|VZ~P_gOy@}(23^lPJ!=kCTN9egv^=yMee^=pBl;NAKx
z`KNTz_LGIT<A<#<+%x}^#>Tq0oL{i=pPH)<KKwvVA?^-5ii$GS?Fveoun}M^7w1}@
zV;1m=>3du<GBV&O@e$|kx$BU2jbjgyT%AH-;xH*Xp#6%VcaUCFNJ&XSE^?8Tz1H`S
z$Ug#iUqaqC57^A>Xrm??_8DfifOSx3EeOTHPX`GOLBTKk$B+w5-ix2c54~aXCu&bu
zSGPcReb($^enEvqzPGu3g*jy8PF~;QRFon6J=hyHFLV2@2|3)tZT~|m0N?~!)UZ53
zu(XT-@>WKQm@p+rV92S#?jC><obKkxv&qR_h?4n<E@}jNbRKfIkHDUyAs@l;AS*Dv
zFUc;F#(sJMxm<6W{KbvQ8fEZQ;Fo6X>0)a}xe$zv7&Ur}^V1SxoM2lp*&;l#JgDwx
z4VFdEKLTS={R(nC*?8ptJSWFCz6$fE-Ew0EqO!8nY+GupPs)ZjVBPbXial?9W3901
zBQ#KDsoUvbDlnz1Xb2A{hH?Z{$KvbGAa#O5Wlhnqr0D2p5H%Ed0O;W|1AowZOGBYQ
z>D%`&X~8u$SABhb9e#%qKv6FMxaY?JNe$F4=nr!tljWM6Zc>nYVyY&N`g={1_CBzi
z`@Zz__}I0F(u5V~X|ZQ;y@0fn_${RO@iSWxiRPcc`oT7o!AxdXSC^`}q3b_BPgHp(
z^`1@S=W8G&-k<u{FvYit{58M4k`34b-%}~Yr4t0rJKnpm3qe(NGDZcQrUqUVd@sTx
z{kS<0j|fv&28I<10q}$WK|LAnA!TG^!v%18@5*yVtb$?tk$TA5-a%Y)Ev>NqGV-Tt
zVVHKH`heJ%f?KV4<BXgC&j);?(2}mqJL!dgs?WkW$?{pxarfrAkqql(XE3haRdi71
zK?h%)`-XpCM6vfuz^C)2C+jA=_gw=MP2Z~9G=C~uao1FOIG*3Yr`1_KQiXj=%*D<d
z9JWox(DkEepnD<wS9_VdZvKjo9+qn6&FeN{!!&~<#QF@8#f}{b1AW#l_pq5Gw!KLz
z{zD5us>{bR{q%|U&VW8{3DNd`zLqauR{n<(dzRj*E74kBWC~$Gwu&WM;31q}yJ;-&
z=Q0Cq4PWN@4=FoB(UAhEtrk>!&uE4vxnAG$3qA!ZEQ?m%eva+rcZw!@sl=2PR|5Kx
z&v#8JYHf16-M&fWi->B@U~QvyB#Z65^xYKI{TzHe3UQ4!4yXfX#HY6;2piui4pS(P
z0;n_r2+h#jyYZ6_YetW7_=~b0w_f054WXyQDpj4@;;3S}1X{C1?q(V87wG1E>R#3P
z^!Rl9pm)`}uNkgoz8=`VhR`9&h#}2(_Hd|wNuBa*&u`Ti!e~YvME~J#xrc-<Jl%`Q
zXrmS+Q$l@H0I-TLx<O=jPl5w)IGCdVyQ#`ZxL^Ca<G!YyWtA0UK#mfdf*m<`B8pXY
zzOatweaXr@LYA_k<j~LrPWHs-^2@fgym*{}0?Dm>1&YJJNvF+H!zt!)@M^;vrP2w5
z$dCD?)n%8uHmE4XJuwfXs59#|GpohnLL~<Ti#-d=|K_8I@HDx78ZPj%X+zy_9C5ro
z$u^o&=%vonYY<Quqm|9mG8E4-+&TKbXu=zE0cvTsTLJ5;vn7a{%j;Ri?TKM^2iK2H
zNWl2Dtk~he+jzBE$sA)0Nc9cNwqZW>tdKU1q}36u8v}-t%;rR=@Q`t+6E0>w(6m(}
z*bh7ZT_dnm^@bH2b-4y3SL0QkcJuXpTZe>aT3$D?(y@)G=S)5g7OKvpg15*U9z@#*
z4DRwJQwV<HX_?jj6Rl1Zs;Q}pzg;~{)5GF&V=M#LMLH#_9a(<&GwM$XcZ-fTJ<gmB
z!l1g1r+&bHaqRSZZg<lNBO0B|@lrPfpSI3ys`2ie69GF``1O8@mglOaeO5PnlPT6v
zdWDb4sbaMDeTI0OE$_FFt@sQjJ<PN0@Cec3Y9MUc<0kaf_xClW?qSbR)PFsy_TE6W
z8lB*(L>cgpzTB<rtY4{L6`Y@0+m(Ief=YZ-X38GddJd7%^0vn!Zxm6N#YRLwy!zaI
zK0Vo@68na>*pgKgGFfQgyRh=74BP@tmNpJ1kt@7HZ@{e5iM<^#ca7VDoBv}+)jNIF
zKcl_j3D2>oaCr`I(vXyRx^@nRz2xnw8lj>QG-Vs(3%F?U{occ8G+fN#q)=3HPZ_nh
zY3O}6M>AGH7r>3CJeHDH_nXUwwZ3ASN-Z~xdzA-I6gQx?Yek60@U)KXDbG_)+NpQc
zH?NbEHa8wL&e)e*{qp&pJIkz3N1?6z(OFgR_JwgSxj&lpB&<4EZCH}mOX&!i>|Mp6
z;vj=J$BAc+mH1vn-O<I`ucGM{lNi<hjTR;k>@*$vY7xB+*KgJ9R!|B_`n6Nfjmus3
zt3qx5(~8!fpz<Sm*Tz~epLtGh88!vYW&Hz#tDTio+CMYwn3@HV>QIXm4nreWc6(j`
zq|CWq6erHqcmrD0e$;1Kw=4^WL;DKa^zAh!ldBbruRc65N)>V$p5`r+TYFul=tN6W
zpS8lV{?m<D0Q-j-P4;Gfl;fz9UPCV}$yu?3fQ~kK*8KQNw7rYph>)n+O+_Jg*gFO(
zqw&|~9UBNHa3lo?(-cdqV)>dpK5Dx_0S4+xD~uXZ36VAy);qp!LRnh5=bNxg+05H)
zh3D7oO()-+yptSVAJAa8w~>*+rsu<sGl|ZBk?manF2VjiZS;Ekk7?`=*A){)u&THd
z%>qTeiyH2lel7dRm_l>8g&j>D6oPnTtKgKf5HiUWj+OD7EUlZcQ$$~ZmtV73rW;_e
znIgJ=iTV(yi^hU3fW)bIZ1=NPe3oa#aEOVZ&7((!h!9P)4&tWNqIVqqge_ofMaaFR
zSjoW3CUuHzPVso>S5H1}TG$OiMAL?(&G1Em?xDVs52jSt9oQcqarv@nbs>Fm@ro%2
zg|;HZnEZ5AY?O3>Amd_mao66$!bU_C5>6d-zTn32e(r{dzNn?6i{!AnLYI%_TJB8M
zKQ#}c6F<*Hav*_mfn0%(kl@`QGOwg0T0n4(iU>^Iq7LtD8LwwdMIUHU7b$MbQcIxE
zGZ{o^oekFCgzOH?%vw1w%8UbR3axXoG5Lgi^sAwo>x**>?So2fT->`<Ex7}imwLlv
zm9hAB0~5hb>9O=w7I@8k|IV(mO&!kvr_I7Ruu|;1B@?x`J>mS#<QOeF(Z!E+ftFhI
z5i$A~LK9d91ELHg^ggU%CbkWnf4na5D@|;2+_^$-2PeYIMKa|YzJ#gULC7;zMWe^H
z(nhCJ+B-ihZ8{DQrO)?h+c+hR5~&**JuN#LzuVrn5UxQ;&)PhuZ@H${X#Y4fM)XXn
zjhlO_AYg>sZ`q&zlqd_eB^`n;rfK65_X(p7;mNyr$QPuIbl|K+##H2rJ3Qe1u$$w@
z=GbfV5$6F<Ace-C+`HerU3Q$Fk+Gr4TfXUY4BIq5bj=*FJ>_eWL|Bkiit9jB-@PZB
ze;b7>l&T}DznO4^i)^r}P*YWlXDJw4O?a$Y8H}B8wwJi~F?62y)>iV`-JSF1TiA*C
zLAkK)nr6g@6Lgf1l(A|_nmLg&at8q+wto_II5Rq4%*Q21xIWvJL$Hvi+JPhnEr-MN
zYjlkd3(2&vW#t%^;V9%++!(7*U(1*g7pJEX7bR7DD@50vx+1jqa)xub#`W^%bUO7<
zwSOcAO?Lhyr}HXqF@~UjSW0GbIbu8jkx;_{p)3Vr{8sXnL@<@A&5u`ds%;)fXRl4T
zQ?VLlyon=Gb5FnJnqA|%9rxh9cJm}5N+r4=daPy>*ZA`MD=BKI%&RYT?OnS~J5SA!
zH=LsqS09dzjg2%H7Oa+ue6();t~GY=io&<heqQCR<Xthh`eQu89@Ko1KF2mnH@RAy
zs-2I4SWxcQnHgfneX2;Jd0@Td?5_TuG6apld{Sv|(rrm1PMpf<<i&|s6$|&{kaZ>U
zt#nJBd&bYJ<Y)xvKHS8*=;_?v+tKi|wJPx+R;O%V;uozCI1>rpYUsXk(?CTK!Ezge
z<rxNO=YHc*TYBLhu_W?Oqyc3!>p|{2ri|o=NCDw<pF5mxWnqQ|^ylWh5nH9w*S4or
z(HH17^R$y1^^NbOQbcAbFcLQNHYd#8zks#<ZaukN;|a1~_kLlf!?|w!rOv0MvsJAF
z9o$LAo~$P!xh}xqwWT!bO5Z7>zw5d$9MBN69?5Yr#V|rU$$RtxZr@&J+IxT!lPL0Y
zbJPLb;2!R5C5LBwoi7(Aq~~mYt(vYy<$GUej8L>%Z1nbJbna8()EG9Ub~Qr^RNVVW
zKl}hklbSNhKIghi$~;xQ1}_=t%h=Ul57u+N<Ncl2?u=+w+levCnKBf|>=j3&lks2b
ziiF>Bp)ACD$4XBUgvEVF#pFL>!iwp;ezBaO<#n~4{uUOba@qA+;6r^UrEn3o%9a;J
ze2T+QU#nfpxEVel_gLTl=_Cq~#mdA+KX1i<gSIqZReOBHQs;5*q54)bW5I%2eFxUI
z-CBZ&dnMH1#V21}Z?`>F#(r@3u=h-Jc5zZEEH2ygHEPHUR`@v|jml-5S}cVaZr=`b
zYw@c-1ztv}Ww)?!SZl9(XCA7;9qW~=LvA-wRb#Cbi@i_^E_m)eIy8pie7{|DCK3y$
z4Z4K{YORrJKE=L)5(g4=&#9kXm~&6jKat!HyCdwaY{0CNCEuuCVdH|hY0dTYoNV$Y
zX+6IZPaw^3b{1AMEUBmuLo9~!qwS+$C)q4zukD_5#v{C@R4VXqJjtICr;Of#;Wl!6
zvK(bZ9R`>q4m2$irvoJ^xq_Su{Ae6<B#5FveGLsa5Qpf}-a{m;%4R~%RY<5mxmTRW
zllUj-@k@r^v}u3jaRc<Rd~nBXsup6!f9L-49#uhgG&`%3>UwW7;KovaWo(cElzQem
zd%pQop{18w9dW^h(A#2nu`KctvO+@Lb<F*qY^&|KmCs$s5+V$AMm9MU=&O@U?fMAZ
zZ@?y3ktfc1tO06@dQYM$Q{RzIdSr&1G?P};>OieS*rrpBtia-2K!H^&df7wDz!aUE
zwBtq7e0F}jD_>~u%?ziw($dqH;rL%EWqzgQ-nl24Wz1I--fM(hXjhh%pr*B2oapCO
z+G0$JS!iFV!8vIBdVc=lmO;X9ah?=UQ*BEa@+Oj0S8caAhlfv=C3grImyB&G+`HH6
z79N^KCgiTd9T|D#VxNfd-U&$g)xP$n*NcI;#em`%jXl*<V7bb{t9i=XoPwBzkhafy
zVVk$*TIbb?A(QE)Ep4GJJ+1mppE)VDWi2GLc;kDC6t!7duoS4~)M8r=F3(kXDh?|(
zK6K~?DU7VD<#PfLBU53!KCSp1PmR7iLmo-IgatIE<!xri@oI0x3mME+uikH2(J_qZ
z5vU6<i)FZLKx}BZ3p<7xv>M&$(0EcI4il<y0|lc`Rh3u{a|41Tm+kA-X@h=a6|S#@
zG8}Uc(%W?OJRlfR+)f(5NcNMR;xO@oAWL6!*Fu_ZIwFSmgVrJ?vGkc+c?ctT%W{Do
zopFluR}CG!ZF9Q^>N}RLZ>Gu=2GqpQZNyt1$UlAIz^^^Iq^W(t+<eurgx$3b6<+{D
zAMcgi39_K4zWL6YRK{8Be6?M3XTt=Y_F|j!gu4DuiaX#CQhTyW7GfWnVQ;%WPV_e3
z^3HXws8%!AV54mov=L=Lh%Oh7OZ_9rc=P)FOw7^`t@0)j!Gr5V+(M}m99f!I=<((x
zkObu8Pw9Pp){G2~x%(8y{@5~gyy^nO^_R*Yc^6JSkhpgam#&bp)gZV)ukm4qd|W+w
z*MA9xO#aIh40LUFREE5-{xSJ}SV&OKM^)|qxW(i1{UP(6z^yZUAw{eTgO_>3-lHgS
z3}jX+RYbzL!;M(-Kd+fm=@)m)f5y8@q>ese)w_>@Tr~G29j#~uD0P3b)Z#JT3~QxE
zrm<2ff&>~O8+ZQZgfj;U0m7=zXWh~Eu`}Y@8|p_lCM2aSg9#cm48py(F6^buh)4S^
z<%shHHN;TKiyQhjL2~-F{$|E<_<ZGg?%zAZ{}Ho=UonpUC|a;|@5n*$d4kHo@oB<a
zzJG$rz9czl1B<z+T4$KjpAOV><tMF{EtII!hsgiaE1FO^-y0T6zWRK=GMbl8Wefa)
z+0T-G2uK2bf5r$|jqC`_8H)Ge4NX)2VyIFE1@lB9Uhfx&C73b)g*v^p^#{FYK3HDq
z-@fNl$=#7MVHvDLW!OBMucSzV(6)?CT=Ii)$V4P-$4k=8n2vA(tFp{k*s4!<&9?C&
zd#4w_fr*>?0f7R2z)rs<ujW>AuG8PF?;=jRknwpg><4YPGtrFrZFw#6{1H0LDqDDS
zcYIlniV(R7Qr*k$SEB7L_cd3otE?^~wg|_;skkf#C@)3)rWV2r%<JbE#)rvxsQdF)
zJg;<;J#)ai_S!d{H-Bz_Ga}Bx7ZbQ{ocs$g#k(vQWJ+~eVQ1}f#Ax^iWhS);b{9YY
zM}p7yAGV_O^kmHF=7bS4<>0({?*vq&E=10R^zC?p>YY|j)M)VyNeva16;}3>J?@vG
zzQ#gxXI~7jyq48FjW$p@YYOIB?KH^#(fiQRkY{fL3YW1g+V||r%F1S-hHn|^RKwFR
zmL*q3>aEn0e6@A;YuF5Lf$){PZo9?xo6^P?Nv;kHR}Q-N_|a9;-g|WQO!`CpACs7w
zJu$02iG84yXb9gbnVP3%{;83&b3Dp<yt9@<^nLv<`|l6$Oq$G>n<?}5i>H9x-SMWo
z?*3ixl$2t%B<>IuWtH3IoS?X^^~d?;5-n0gJ?*n`u1@Kj9I{?gm+lIs1ZmgaF<S|o
z^lY4My(i9r?)n@jUl*Prdz9qKYxIos$5dBBt{x8!8#1o?I8nn`)VT&lDC(MuOST*|
z6>Z%Z5mrMJi=ZcOb?o1^5oQ|es=h{?pU=2!P3sfnaBepI`i#&2d~Fg)W7Dlk3?V8b
zE4%J@ZD@Ocb2=prgs)qZ^Yj@%*L;5PWc9wj=6MsupKFdxL(ZCMauHArshDy9S|tp6
zEDZaleIBEBgsM65|Ku~AHz6iJ52K^{^K;3l+&Y9~&F(RV&<B>+3KSGjhqxWoDQMP!
z1~F6H;2@RX;qJ5G;B&|vNUE=U>|b0j^<4Ri1^-j|?DT$#f2r4w6)?B@?>9hvlMb98
z=?{&zxx_Mg8{l_efGD2sXn#ZT=1qJML0}YAAgq|&PhFOIibS%#i%73?`)+l(ySf5|
zbyb!B@lL0+yL)@B%cA{+Y1@OyMa@AmnLpoR?{EJ4^{ege_2;$UE)AzVlymhyJ$?c@
zkr9fj72bbaGOC_V15^AADr!_`hoc{OW%g%$w$kA}z4pg#h3$v9cQ>b*K7CT6dtlt;
zD+TIv(#w}Gb7yTsMZ{vP)Y1zcoo<(06e0d_WUlj~KM0vUf&?k@e1hFS3hVAALW{vA
zrw=C{zCS-*UYY$M4;3mbYg=1TH4|f65;mUnJvm006>l;rK5F{I1p;dQcN4!sn%(I0
zd*uC>n_rnbU;jULjJ(W?O|Avui-x+2%B$oF=nlZe#f54&tjZ-0j&}p!v$C>4<}U73
zgYx!%Z&Wlw`1@{=ft2T_Nqk9#5r52^H)e|xla+QHpo_1{hkBkebVy)iy$kd6Y{1%A
zca~RFw14_^tNPKblh3Bc)#*!LWPhik(FcG2d;&tbr}8&c=+K|6W1tu@zDWd<2+%-}
z<`;KEpGX(<7;udYCZ5-X!4(!3G7h&2>;6duVbsa~<b9YujQW206sj*Mqzi;LN}2PW
zUtsAI5?;M3&6VpQ>(pAjsHmx_`4fau<9?bR9@S{{@sgl_^pju9<9<$dd$Rjb!#Ybn
z1clB+JvBFG&!C_nY=!RcfgrfM1xkdTsT{lHR5?FmS65fw%6nU7`G<xHTT!$AXQr4R
z4*d}16yXo<m8vr0M~8;qP*6aC!xnOyk_0Uf76Mf}XvZOgRs}Xz*5>^k1#9a|HhszZ
z*%8%_lM92l<?#?^NoS<dd+!E_)aJf_4-O)tn>bbVpAVw@TJ_KnewYpwhp`G<vVe>z
z6PVeZk-LvtW@l&j``f^BH>#if>bttw8bpMt5kidz2k}~pHxz;nn!A2Wk8qkn@q)Rl
z|MB8QDAbh=lOiA@3yz8+Yi$j^LI;)C$gf|uet_nw`vmkt=2O1E`VOF^X?k=uJ$gPd
zPtxY;@y_4QBxu&)H8C~qX>eNj7*e|!d9BoSshjt=og1S((y4WiLGf<2!*wVk^+U~I
z%B7P<(r3T0ZDK^xjm2|`hL$$tZjDp*q`B`79yT`i*AjF2N{4aEv)}$_=L&|6H}2{0
zm6S{8F%<Mf>mrmiG@PJaEVun~VRaxYjNhbI3x#rO+%vdS<MjGLG8gn4Ed1{l!~InT
zVzGiiDh>*I<28@cU=wtmyXb3C)7O1^0~BYmQ17hjo`f3vOOjY<J260^vTvtdfqxaa
z%HO|#{}!|<@ZYUgNAb$rv$2c7_Q1&GH$32LC?9mmpYBA7m_yC0WXI={RRc#3vnWkx
zFPMM(@NiW(#}$mOzi9L21^JsYuHC}csls~0(Sxa}%%E&ffQAcg5fPDZV4`$L#9^16
z8<QuevSyBY(qExGrnRLboPh%be69!Emj8B6LEi>c=?c(jP`0a#7Mm_bT%9RBN^CsU
zH?Y;%?y?)4E3Me0<2OQ}Sqc>T$nR;-iwg@2Z|xZ64p%tTQza>&jD4_CGdl<M^2N@m
zd%G+BPzSB%2w}SF^jAc-y!=w&ZuQ%@ZxJY4KSMWv`9g-NmxIBvvUh#{+~Kp;7!37B
zs62gW?e78w)|jTk8u%}8fKD)}FJ8X10-2ZojHaq8IB0B)TSJ;NZ^gcP^(r7PE{@P~
zW2TX*X3CXF+H*5p{_M{ekKgw|{Mx%*o`9#Rrlts$z@(BeI>8CY9O1b{o@+MHb%kwi
zZqA*>>nMNqYE7?6bGKN|4vsT1gC8+;x)8x=Kf;cSfb!EE6w6R5Dk@baqVJa_HW39B
zD?4<;KpY{bnAAQ1M+Dmyd3Q4c8>xIaN{V?e=;zpwGl)Ia{`I)eb{$9Qc@fB#t0$pb
z=HOfGZHs@Ef(_u6gp$;2SF=+b<aaTe08p$tOx03=nY6(jcA$e0K|n7W9UmVAtuP7W
znk8n9m=b3L^a^=_ZcNz!)E6q_m=bL>bQ3v#c{u&PYU2zxDiq~QCv8k2_Rz8iUfZn2
zQRvUyiMgl={XIAcrgVsDAplc(MrY=Q1!X~%_zz;Lm?j(u@Q;#?PLIFK--DJN_x!<J
zNgLkCB&X^3AQB|%>gjn7a^;}Wt*JUH9DL%^`iNx_Oo(hgxR+bL0dmulkq!D=;204Q
zI24N5eovEh!It&e{|H5MP<*TsZaoBeu)Ug-HsM#ub@Fcc6WjbQXdJlt`Cn92Ko=yG
z6mLK;rSn`f7VKqm2+9>FRm}AC4}7MF@^pn=7Es|A<uAY+RzI7C!ZI|kvGeeJqFufM
zNC4y?sn<M7LDBdTV;a!)0<mEc3bNIG8@Nd9Y7|bZj?AM@vlRC-n?6Qxa%auZRO0x%
z5tL^K&~YUMYC2GdfRGOZC^{oqo`3k@U*)(AMeuh~a;@eNu%(BG5}kXgd1P%cQ5GZ`
z^BA$FBAKk-a@A$cRE%<a2V@WW<4^x}b>}&v*r4hQ;<&<IKj>Nf2(Xf6py@*LVr_x?
zEpAP9brdv~m4eD!Br4$toln&GdRl#beVct&N2ldwl)(Q&)6fw<qlh&D#(cnys3(cE
z?`ud{eI&@t$>HGQ!e<Wz2nKI-5A+dZAN=J3dpZC4c^{f|IAmlRCZh84|7{v_r22$q
z@t-nCfCEk#%_S5cZ`L?XJD7{w^fm*42v-ayoj=<8fN3J#>E<iJY-sSXDz|R&{L(h^
z_LkPs(Rr1c8V-U~S`dN+egFjGx7#mLWe$o_Sl0aQ__Q?h_21px7^`CN_xA_HNC!sQ
z2K7^itt}8#P%torKm$#JRL0lTPO@fU>q=ozNYoKVMKMcJemMR~gi+E`v;Z89fQ25~
zW|7E-O{tohojvh1s=cFwT||Tu)ZQ(iEOrLyF!w#pzXRHQun<g@7Gv>$B`}5WPvc8s
zlgr+xk`MpC*vv#8EzgBcFuQRdnxm>e{noGIVaN2AV*ECyix7pvbPmFHsjSjH+z)3E
z{r1LZGw-oK2!%|cC5%t-!*My1yX`)xaWzDx{}Vyh)(4DeGClZ03^+lN4Lp2&g9%dP
z5173Du^hw33+~7y`M7X~=!_);GyfC!o$YOM5S&AEC^={sl7#QQ{I<M2VK(@6u@ik6
z<wAUNeM=Zr#d@pY!!Q1gB+y8S(W}DhaDn{DZs;;fyvD`Q^@iSm+hsM1kytN$`*sP0
zEDIYO0%WqguRw@4;n!<+##>Oq<#j`kN`KPX7;sU!Nv(7GK#PtyNj3DOO^#=RbRZTQ
zHw-4sJ~5y{1tQ?~A=}RN$C$7bNOX!uV+!&$qBHj9RGX5L899Om2f%V{%Z$E(Z2IS7
zl)Qmai4NIKqMR%jV*Sr5_g27{VB%Vt5r5UwqUcsTJ7!NB=r!(v>173+ApR6qez;om
z<zRLTo13N@^e{FJ9Myv?XxRfW)hiGjfQD@z&~~9KsU8eyi6`qTsBWZ(jr3Cx#*Hjy
zCeg^G?xa4ODd?--8}QI=6V{XBh+y;gKV$5xf21zC$@{3{_|xNISp(Cv1E0Dlu46hn
zRq=6gF95AGN68&>-;BCYWXLdtcJBRJwLs4<>pVp<9H|(UI&u?q<e;t38C}k!SV&BN
z*e;Cno~z}^XPJ%!H7xwacm7{`P_&m)2Vrm$)+|G~snYKGt>SfgcHl}MJE1q6iM5}Q
z2=9Y1oyB|a(!gy^&Bz(fS2%hEIb5-;g=hzL4UOS<7xI<iUk-ki1#$1OEf&FDuD^RC
zLXf4`c+%c2jM^XiK2~8|bQduBHAdM~+6P>}IEM!cir%O8f1MmbQb&FLCi8n%Rj)I8
zAC;_hMIi|7Rm`~nRh;a5KkFkIBQfpwAo+N(AGJ`JWhJSe$R9|cq4;sldGDgEJ*Yg1
zsJ96MqT*O>mQ>u0qNH=5{FNYzpq0WtK3={}Z!KXNgT!K0BFO#LwRnyp;>NX56TvGp
z0?xRB>sUzOY~1+*4KCkGt6J58f-CmPP(eeZA4}W|-qmL0!b!wtMFO$8Yu~PT@2?`o
zQKY)>Kl>yx2tH>!U~C`1jzx>ri|q3TiL;O8dPWS1VU+z8tE~1pyD#v5hny!<*gl)6
z|DBs#>_av;D~t0}sO4N_Zpcl}k#G4Aip*%N!a3uEGdj*a%h1OXc8s`lp6G|ju(8IL
zs#sYW*VPPkZhrt7+Iz{;xPPUbH#wNA|4`wQ7DvXx4LqCATc^)7*<?^SZukdJN0O^j
z-9G>L^Ttx}d(FO-&+XgXaf({^u@kw`*A<O?0}fFosqspgY8fJPqdMX_Xa!wD!e%)v
z${w0($8FtxKMuih0a}boR)R8#>vkv>l@fV2H9ihE&e!~Z+IsK~WLnG{AGD#}L%Uw>
z6G|5FRO;*8Be8r2nwoko6$%TtQ3DloNu4Ce3;!hZ7h`%Jt#L}SLt^P)k<R&L39Za5
zPY~)NUx^7t9m$JkMh*%JlIKYDk5c_OsEM&_Ls@YHS)O?Aq?2&yh&C@k16mip0dBrd
z7#0;W6)59;iz|#^x$`LRS9RCE5an?hDd9P+xY5P!imbrIj?bt*qA&~_z;uf_>oXdQ
zN}uKGFjTAq21&UZ9#vS7De?#>QkacKJj=IwG9;qWRvYnb?PXuNcE!I>dP#XRZ#ub^
z{q1tUE{RYmtJN^8ep>V`)4~fynu?|0%-BpLvfmOD3YL)Q&5lbmiTm+m%)^0uP1Nok
zE)ESVxl#TPJ?`L_H0QC_(xlr9t{RerDQ(MczjH%S=lPT0zP?Zge6kB>N;pJ4KYih+
zWyTd!4=592J(o-G7Z+-^N7%is?58{OB~(G57r!Aev`UkYI}T?I3ugwW^ooq>LPlih
zJx53K;TP>7{fQ<)S*yOX`A9+F#1uha*<rphz)v3)x|E5+QpK&H?8r;;wk;}op>1D7
z>2S0CTdpf&+e6(t60YN~MVPK?8Jb1l@6V|#y~Z4$O#XMlBW|ITth-DI<Y=z{j7Zt8
zJBv+wh%@Y|DzrBfoyLWm%OcI?cgcpNgy*duRt=5N;pxKB&Qsny$RlLB8&8=-bcs${
zIg2Y0G(Vu$jVTp#ag(r+Mf{P9(Sw46<jAnzIQa*J>r^-M{3j(W+t9sn-2Ki@8Ucr$
zQNK@?w-z=Z+!R4Bawaldd@DD?#xBnGcX}DGTfg@Txe==4{1PvA0cV)4QFQgb<v)_X
z=AkvnM{Fb4Mf{m5%EG5I(V+wgX7w}h>5_N^!z@Sw1O;f-HJOW^e!UheOYkL52&dE-
z_lRGUK!Z82c=dJ253+wR7kN@aKRvZghm^4!ZCJEA_?VUGk%@{}zr|9))3QN2O7;zB
z*WmKMwv~bJyfxE(8zDAq-dZ>rHf|IhFJQ2<5@9S;!o^V%5@1uv!d!dq@2%4wEITp0
zwNt^GvmjSDVR>7=_t|>OOoJ+C65khL#cqx%4i<Vee<N%4b=Ynv#@JUbW5&s8lto?6
z5-=D4G+%2=UE`K@HY&s-2&rcYPb^<ETzfy0q+<SeZZ2HUVpwrgDh>UeAom_Uy?{e<
z7t7=-Z@BqVjwZa|Zrk5`vh}G@#p<Z&5S|GrpaMTk6nbW7Z(hB&bpD)jCU3JYF@Xks
zmd83=-eQi1&ErjgdH0q8hpexCR?n^y4ZbXsQ=xgF>2;x*G>ffh!LaJZ^9KUtXDi?$
z_Nd>meGuj@q;8opuzBGpc9UlPb)M9F&x>p4$Q?wJDav?Nrbn((jg$VJj&ok(8mX$`
zMj5yzfucQ*RyUKwh3HH16rL$<>sSSJ55tA{e=n4NvGvcDe5-Ozb1a)n2L+Daw)Q+3
z10Quo+4XTv<8C-Nq)oi@<g)i|_zrWHOG{DTu52es`1Uy#eMjq1wE<qfTaj_gUEDkD
zUEy7?>bz|;Iyx~2GGs7Lnfp^U+tOZEpWkX;R{?8hr)@q{upEq7M^8`|ZmzI|G5))9
zs+%XS{b$&TSTpAKhOMHU3g;zwSUW8~sueuV`nmfVMG}SCf&H@4c0V)eOG%nVwGyj4
zZu{kXa^>3}I<4Lx+U5!HP;Gm0px~~ur9M>Z^#!BV3qY$sF(a1b4M@?pBp}i~ij!1*
z9j!x*=WIkg#uUvK4I_Qojv1-_PT{&e_Nu42`ZRs6)5`0R3vUPfa@o-zo=}xIoj17e
z-I<XVi5Wqa(O|{LaW6W)bRoRvl!wQqxT+yDb-AbPBAf()QCQ4|q>0pL8SgVaxeo1&
zARcLlQST)^u1G8+A(Z_XVE(ISDy4X}J~OR9;CA}gZq~$7X@&b>3Kv+mK+>N<YislV
z;12%*C1Iqhr4Z3zwt!2eG*(axqG?Z<7M#=bxKXtK-Cu_$5R8U+P?y|#1xqAiX*=?_
z?)SY&CHZMafA_r(5?sWnn0n-8j@nc!zsuKabh0vLBcRKto%g)+b8NcasDQcy=U|c1
ze=l+-Dc1#+t(MFEkuS(03@>&RKfecN<?!!A`equdgmsa}fvncxHG(nM_Du=kh>_$W
zpdmF=WiHZ$sagw8*aI#4oiOzTg?BGG2)Uo*JvU0MCN5CUD+ynsCuaTf;A2addJ@b@
z{zZ)68<Lr>|DZ?haby0hc(&Q?;mraf?@so~J2aW0@1-rN1IUz0rPvi`%xblaj>e?^
zj@;(5Z@r9@bB8nq?z7(slmT6jlh_Fh(n~uB2rWZ6hQ%92wfp`~cLn8}D~<6tcmqgP
z$(b*{-N*O_MX&e7x`dO+)PPvHIa6-a;591!&U8mubqQED6&_~Vw_^mmww9{#oVdCE
zp;*t~I=5Rir=!&wN?^!;mtEZN_oiUboG!(s*@kD)1;<cDycd0Pi$3dg!@h+`)lw9f
zr-5wvbh}&*Jh2@G!+=?U2B8;L^AGV;UNf*qF_evJ9D!T_>teA*cZY(z;+FbHjIT&8
z?RvaJ$*RvVXN|>Gyr&zy_Zg+3X8n?w&LT{QdnlYfZ9Aj8|C+8E##`k++ZeC-PLeew
z)aX`;8{8*<RKhpVu^YG;qF7veH{bKZT?Q%FZ{IrXeV})&Cr-zdsld<Yv4)%b^ux{X
z)4HZI-<J|Q(<-VcDE^!#d^lcWlArlJo65;<Z=srJ38ZN(q@cTz13x1Eu~IO7-nw|b
zdC|Mm?lBO;wJz^mN@SQKI$S`WENg0N%CzVABjmioZ7H&MG3H3N`O51Y&RV}C3CQze
zaROkYL<>M_oeqaUcz3?F$u2D=pY?;FbTLVt3sRxR{@GyTV(2)5F4y7OsER>M+k2N&
z>Az<k)VE+}295sl*Eg}VmoxqKz5n$ES($(mA*q!5*xqjWDTdQqxr{+$aJz#^KSAO#
zoRG9V-?r0AB)Af@ia8a@*H<Q6Jt+{*`p};=hkiiF4=_r2da(!On<ZF>&?%CUnfcLs
z3VKA&!|^xJVr%&1<nE)!AUGn4an=WDlLx?b;=GC2C_OVM{e9}Q)J;=pQb!35l(ilk
zjL?uO<nhC(;b0+b<lc`wLAP&lXccAo<87Rg67v$z@U%jh2I$|;A1zDH#uP(pU6%;|
z_J`Eg&O!SHy_D-EgJP3Bwa*x`10$P1g}Q>lWR3Tp{p0l!5;z^B8IH-pu&AKs$3cL%
zb6y+bk(87K2nZ=XGxQfHirSKjX;f6h86;@PC*XZDClpbPTQ8Uxj!J;w02;sw)YU4Q
znlC|iovrygG$w`;D1^l?{-+gtwg1c{grJkFfN>X?_5Bqw)CtF`d~9n|goB^VKU@Jm
zv0$e*BZIwPtjNsKz`(==&iTli@PPB4pdYnx&)uftPH0%z`m_xY1ehX%SyFdT4_*LJ
z;`-xqK#4))xO2Q?a`r9gT%Kz3t2e&pzEQAoY~TIlXx|YU!DHcY6wF~BDOVpE|AtHp
z{rvfJU_b6gZOnf7aJ+ikA8<V|oOkLy9OL()gv5^j{5rH56iz}Ri}T8r;=|ybS5O4H
z1dYQH##lclYqqBT{QABgAAIs#{zutaC>l=r(1X)smY`&yUk&9LB4qr7{|EF~lVF;>
zzZs-#p2gX6U6?@d8WKa)&6}-lZ8$(8w!Jt{<-9&3fGB{v`^}SO225=Sx`sx2LNFvD
zGzJt@_5=IiFj-B4Yy%zl7P8Tmfh;0u<-|~X>$x2nN@0+Gl3{)br+wj)GD{+F7buJ1
zh#1W2NYHD#p4ELMpK#~y|Ix*{hsBr$VEjW%Qc8-jCQWKQbVX4qbiXKKO3|9iHc>n_
zjAVAQu1yH7F18FYL&~I*(sr5XA`PY4eWuI0j9TfTl9JL?+V|wY^_Rzkna(-i`Of#g
z-|v@>H0~iVQ&J`@Ha4D2rI`JshJZ6tqQ5rRBPPZMXvc1zB(m8IFjerAiw0PfraQPj
zRsg1^eViE1=_JY_hA=!s%d-8Jb%m=^2*I34*U;OmNud%r2AvsV!7W`e>a;a_<Rjhm
zdCbmX>$%+(x)>{Xf^-PKgZ69&gORy322){)dI7qt<|96)Ip%m{dAp|FezkRUL&KZ5
zZ@c3MTJ)+kIu!#BLkwg-Mj+;aX%qGwRaXa6&3iGQ*}D~z@}%VCc)mNEO;lZV=o#N4
zBK-@a7nm1(4C%)cbRi<V<WJ09ND-3JxYhxw7Kz0hUdN8??He3~RSOGQjha4lW(o=h
z57avtizlZw7JS&VMWp2WxVoMuRx~SzinaYnFN~2(T|)6EMbAf;Gf_d&>BGarxP<6-
z(H}wD;%mN_3FAP6l{N4<0+zRpi!)YA82nV|ICnl)ha4;COE0zy)4qWLLhth3>xJHQ
zIyfux-MbFJf-?`{pvjK1V(CtNV4-BIcX!m=q_O7MkzN34=)$s^e7k_?2fTQ|VZ8%H
zkSM@Pr(un>K_3K|3M#F6jVm?Mt@k=2@-|~h&Y>Hvs;irh>&bD`Caq`e0*=Z)2%0Xh
zj-rDu&gYFB!eF)mB#Glc1X2!F6%xE-{0xyu1-zcCukS4Q#O@?aHVeF0ZQEB1H3rG<
z3hL9)!Wr1wmNa!zi|AUjmfUQ-<-LH<=jbp%TVr99T8YX4>#VAw;Sv!MAsG2^AU3(9
zqr(6iIdq&qP=sg4?*XyP&%Z((8H-x%->l55mB4F0jB*EoUAYSLrA62-NDvi+X=rNo
z+4AUH<h8LOU?;m268oghR+4Y9H~D>J<iyi>e-z;SaIop7*Icv?Rmzu7pU$YOtFzEk
zZ;|lq97aDm>8VeJVoaelYU}Pkhx9K5L-7eHdql)iAYqdzP#?vdt~vPMw|4NL{W?oP
z8vLCqaL&Z?<iJw~gR46X7lOE!)7>Id?t?xEBPefuCrq<Bz)o(hhvDo|!E=YRVB8U@
zh2r}1JC8e+9f~{uPKojgD-6+i9G_IU)KcTpm*&}MBq(atzSq^=tp)kGEKRoESFHd&
z6FGLTq8Ip?-o&o=_bqQHCX-q2kbdjr*n{Ktg9;cQ+5yNEbBD|@mv_p);bTu+xUf;s
zndQb}<7rh?02n4IHML46n?-$+Z)IJ_V#nRZ+yYw)y5K4d5cTH$``x@(P^oEwH;bRm
zsH~}}QM$B3EJ&<g04kg4*|_Z*85tEH?xQ1xw86~1fg=k(g{oz_WufJn+LZd~@gU|U
z?$EGY&UX5f#l(zdARtD}d^8z*XKKlyoD+*%zWntH=)};zxbE6@oAUz0nio<vwYs_*
zq~#(D3oRh&kLxZmAW)zkrs2HMa)0;i*zpm?T4`<L+r05gCG9uf7X>oHN&x$0V#I+3
z*=2*+KY>fupgP*xW%FL18WVVp?;Z{mj`+r?H*hGqdU~p%F8T!;5z@>c)t*WrD5f(Q
zwaQa=2+1LzGPJdw9}*JMWZvN`biH0&tcS|#B!7{)xhAqqcTdks@RsBTO{_^^De;Gz
zW#XX>;9IzcZTnQHnG0=CqEZ&&q9DmSz<-j8BWt|8CT2Md3o6iQoTJ&#C-neU?Ia4y
zff_W`TH4y1J0;Tutd1*aS!=O<Y3b^o!t`#_hqz#MRJ#hSmXSX?{HljAwiZ+F>+jF5
z-#)C(j*7BWQ&YPL;F7R<Uq7{>MY?RyJ(T>}6z{@d$I7<%^zzdGI{aeAAZw(j0$-bO
zo$>MOVQ(nR71(knU{$d8tT1NL&7m;pr@GKK5bXxBZsAG}wa{B^VzNOhm5R#Bf?Ut(
z85m#kD2eVh!(KruSM0wjP}M;Cmyn=K^+RfN$Fme8mxQR@3wQh)nar0oo|w&0>+~Af
z4vD`5m4G%jJYpT>kA^#XbQpy@Iyo5`8{cZMc5x;NHC_uyM7tT_?2O%=@!VlVTquw}
z@7=g0YZM2N6QpN_{7al0SaL86M;PKvAh!c72z<|pJy>z!!0EWSr-+9mM@xxIPkZ4)
zQ>e{+3dPiSm5F7%sDBXZ&53`7x$@)!)wC*_vJPj1&AAeK=(X85T8{QS7(c@_2`t>x
zx*UfKU7?IPWM;X!xe@UhcK-m@&Mrw%GfaCp0c&o#;t#QoIl8UvzO{YQNb5N|IsxH|
zy8-!*5dQ@3<PL?K5Ql<aQDmAi94kqP^82qhUlr$gC!YCY*n4!?I;p)q6bEp=j;^kp
zt2oh+Yq|fQGv&IO$@$~{;Ty-A_gFuLKyMjtaXCfrvS{RarL|EwCsR{cTpR$(bP3)I
z_<f<>p_L!FiDP-4?E@is<JxeO0#oSk@3%nB@a(Gn0uX^mY7LGo>8@bTZNO7q#Bq$<
zMS&nETK$Gw<u@-*+jmT@RbwJ!a{hT0`5>fMuin_>;VXgc0WGD`xvwqxv^0JIn6<?8
z^gGcy5$}>Vr=%4X;1Et82*RLLkl9U>2^&}T_)&WY8rIie;|Dd{O(8k<|9@F|k84iK
WP@GV`>mq_|mhy1%alY#qeEdH?Xk|G7

diff --git a/docs/manual/classbayesnet_1_1_k_d_b-members.html b/docs/manual/classbayesnet_1_1_k_d_b-members.html
deleted file mode 100644
index dacbb68..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b-members.html
+++ /dev/null
@@ -1,161 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_k_d_b.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::KDB Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;KDB&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>KDB</b>(int k, float theta=0.03) (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~KDB</b>()=default (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b.html b/docs/manual/classbayesnet_1_1_k_d_b.html
deleted file mode 100644
index 2c77b6d..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b.html
+++ /dev/null
@@ -1,372 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::KDB Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_k_d_b.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_k_d_b-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::KDB Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::KDB:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_k_d_b__inherit__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_k_d_b_inherit__map" id="abayesnet_1_1_k_d_b_inherit__map">
-<area shape="rect" title=" " alt="" coords="34,153,144,178"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="27,226,151,252"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::KDB:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_k_d_b__coll__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_k_d_b_coll__map" id="abayesnet_1_1_k_d_b_coll__map">
-<area shape="rect" title=" " alt="" coords="121,168,231,193"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:affc7cceae4f7a6f2a4fe0fed00c2e254" id="r_affc7cceae4f7a6f2a4fe0fed00c2e254"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#affc7cceae4f7a6f2a4fe0fed00c2e254">KDB</a> (int k, float theta=0.03)</td></tr>
-<tr class="separator:affc7cceae4f7a6f2a4fe0fed00c2e254"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af68389e8ae04fb9b26dea3b8f534f383" id="r_af68389e8ae04fb9b26dea3b8f534f383"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af68389e8ae04fb9b26dea3b8f534f383">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
-<tr class="separator:af68389e8ae04fb9b26dea3b8f534f383"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3c078819d5ef1ab67cf1da1f0be2bf79" id="r_a3c078819d5ef1ab67cf1da1f0be2bf79"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3c078819d5ef1ab67cf1da1f0be2bf79">graph</a> (const std::string &amp;name=&quot;KDB&quot;) const override</td></tr>
-<tr class="separator:a3c078819d5ef1ab67cf1da1f0be2bf79"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:adb293a6da8f05f2c4d8eb746f2b6153a" id="r_adb293a6da8f05f2c4d8eb746f2b6153a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#adb293a6da8f05f2c4d8eb746f2b6153a">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:adb293a6da8f05f2c4d8eb746f2b6153a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_k_d_b_8h_source.html#l00013">13</a> of file <a class="el" href="_k_d_b_8h_source.html">KDB.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="affc7cceae4f7a6f2a4fe0fed00c2e254" name="affc7cceae4f7a6f2a4fe0fed00c2e254"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#affc7cceae4f7a6f2a4fe0fed00c2e254">&#9670;&#160;</a></span>KDB()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::KDB::KDB </td>
-          <td>(</td>
-          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>k</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">float</td>          <td class="paramname"><span class="paramname"><em>theta</em></span><span class="paramdefsep"> = </span><span class="paramdefval">0.03</span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00010">10</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="adb293a6da8f05f2c4d8eb746f2b6153a" name="adb293a6da8f05f2c4d8eb746f2b6153a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#adb293a6da8f05f2c4d8eb746f2b6153a">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::KDB::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00028">28</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
-
-</div>
-</div>
-<a id="a3c078819d5ef1ab67cf1da1f0be2bf79" name="a3c078819d5ef1ab67cf1da1f0be2bf79"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3c078819d5ef1ab67cf1da1f0be2bf79">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::KDB::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;KDB&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00103">103</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
-
-</div>
-</div>
-<a id="af68389e8ae04fb9b26dea3b8f534f383" name="af68389e8ae04fb9b26dea3b8f534f383"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#af68389e8ae04fb9b26dea3b8f534f383">&#9670;&#160;</a></span>setHyperparameters()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::KDB::setHyperparameters </td>
-          <td>(</td>
-          <td class="paramtype">const nlohmann::json &amp;</td>          <td class="paramname"><span class="paramname"><em>hyperparameters_</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_8cc_source.html#l00015">15</a> of file <a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_8h_source.html">KDB.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_8cc_source.html">KDB.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_k_d_b.html">KDB</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map
deleted file mode 100644
index d3088ec..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::KDB" name="bayesnet::KDB">
-<area shape="rect" id="Node000001" title=" " alt="" coords="121,168,231,193"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5
deleted file mode 100644
index 69194a0..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-da61a083859449e9d8d630b70d27b858
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.png b/docs/manual/classbayesnet_1_1_k_d_b__coll__graph.png
deleted file mode 100644
index d6d858cd52a8359f5e7c93d456cf488d9916b752..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 11240
zcmch7WmHyS)a9i+1O(|6q(QnH1Zj~H5JU+{>F$zLnir6gknU~-l*X6tk}gHM=6S#G
zo3$p^%#Zmox|WLT-uu*f&e>=0{ZUh02@jhB8-gG_<!AER5QL-#{@ss>4*tw6MH&Hr
zp}%>qBoEyqerLB8CO{A!q%1F^<B@T&=xwCqdM9-}ZD}e^N9eFp$D_lMsKaCEAZ@{B
zr&CaBF|UVKJ*CU(Z(xv^^eVZ|K(}P`9p9{~kpO$BO8BQC`Q!N7`fsd3x!Fd)1^Kp4
zuX|F_K7ZCSYi!Mm3y%xm8p;^;^dHIa{4labg&#mDi%B2yUw`n^?*1Z256%($Nq_c4
zG2%*7<p3K8XYhSQz5D*mgIU6Z$W7%!cqT3$-fhm6c>nWdd8Y{N-I_l3=a}=KZioX;
z@y6@-uX9D?DIwJ&$qHR7T`W92yKS$KN&{_e?cj>_saFo6DJgov6-xYe<mBW(hKI`p
zUR#D6h7jh?#*dN6Vp2Y{!ln<wW8x1b>_#Vo$zqzJV5!lERCWo3Z;t0F@wy)_>}fr(
z$+4!e82w_rzFbn#KKG=d2kLBc-a78a;Wpi$slvp<>WU`kb6oq5HMkcV8k#EMEjTbR
zK=Jn0)6*020~;F~IE*-2C0kpLwe|HX?{j+&lh#I=sriZ8K3`gBb0{r1|9Q$3?0%;(
zYprG!)@N5PA|ir!Hf!W;wYjljIt&w-&LeI4dww3?Wm+`tEuhxZa?~E>yfv~KMrj`q
z6@`OOBOXy%Svh#9I{iXX5gi?$Dq>^ft-QRv=|ba&i_5L7)uW@hU<?9eNJT~E_^{>3
zQ1-y9q^L;R(2#;(4F!@{QeqSkc<6iePsYTA2A@`Pfo{+4z2SO00d&-MPGd2Y8c6GZ
zQ`L7<(Q!wy?00P!Tng9S8qMm*p!FG}vwJ-aKgrEyAR#3+IjaNH3j8{3M@mAX-<~mP
z4GYW2$Pi88OCNsn<VlfxI(SRz-Mf6XIt2v<v#uaCkK5Df2eh<tAJ+TKCW~LzE$Qhk
zS4@NtPF|*T+@PUg;LB@k6VdqJd>DcW;GhR11qKFs?0zdOo$?lNH9D-bUu-tp8p(A0
z@Bs;W`|h3D?!>pogZla7eyO`Z)l$N{S5!#Zt*unQfB)9Cao9DSZ};CTYj|_@Z-*yM
zRnO<>)X?%_yzqxL`Akb~@C=??CuCGO#-FAd5gQxU&>%EdXA=%)mh<&1D)cEeHKN`3
zx_fk#U}<S7nfojRi<pp@_(fg}mvQsT^8K9<L?<CZeS38(H(hQ#o+F3xy|2&EtyRy&
z6HUVVEF>$7w%K(rEHRM;BGX6_7Z*RiyFSW$QK-H>mV**TKpP9Tu*44k5f5ZJlF{XR
zz8LO*cajAKC`6H(ZT$G0e8rX7PL($vk?znw`_x!(x$LydFcXCJGj;X8o6D0N_~gy@
zRJn1Ki1VgVeR)Y)Uiq}&^?{Iwmsc*BK0Q6Xu+s+Sn>TNc&pYm^vwZ$yDaKH^_O@q;
zx?<bS)pqSpmW-FZYEYz{Yg{tiYro$usaV^et<epCv)eMlYu>k#pJIXxB_=0#FD_D_
zY!27d!t;~}eC}`0p@53^D{QbQnE3c%g@r5@!!Wd(StA>N6*aXot>+-@Z*FftXJ#5_
z#Z3x|x$Q^rKf*1o0Q-P!>f*wG^7n6Qe7r0zEp1<4Upx~A9>sUpy(uj?zlEhGd~q?;
z+S=Nv!%t$q!C`b@Kqda|n>P#+;^O+cx_xVFZ`^i%g>tuFFmM|+b`rCwS6YsKF{-yE
zkE0Ulb~~7>%FYf*N=h<nbfgc*C6|pC2OEII^Ym%_<HwIx)ztFA0ZUzO5SQ4+zXdUr
z_UV)9j-IS6^0L=n*`PXQj3V;N#?J&1hb3{zlOev=qxS3VgM(pkjSQ2&l^ji7nU;;<
zQ3`4n!VT&TjH|1wF#|3yFZGO-eCwS*eBf37H98uXF66+hT&`ag<i7Bs|KYXv%k{Aw
zIWSNsc--s20X;Yn?@|*lxT}-Ta%7?;d8+X!;cH$VBOW@+`uh6L=4Rh|e_R4np=w(9
z_VzZr-&soe$*|D!#_?*8ay+<)oW{n+<Wy9u@i!oKZ13zS=Z*g;E#+u#Y&?$QZl_ZQ
zTUZ0O#OHj`-R3}JXJ^O7)%CHm<n?~dKD>~irn-9fv`JUQWt$KWUCt*sbhFC5pX20<
z=O#HwD5(}TY2gI41qIgP&YQSkM&RUrG&Tw+Cnb&d^z>A(f>086-PMWT0GDJIMEmB}
zR?XM1Az*JagdAv;;%J6n``;$1tE(H;T0PLn6je}z>zkOU|MeGBpA3H%Pau8_W%=KE
zme`qG(VHm0w37TcCg*e5v~{sxGy3<l5=~A@3K_Tw%JI6__GJW9yU|fmc_k(6F^YMU
zSH<C*lT%t*2R`{@wNoj@6bT6ldv(Jl{JmqgYS)sN9b-&CBO);G{>1q+8SwGj8Eoaq
zg>Ucg4^>w`1ySZSk|E;a=4PR#^?;1qWa!6_XYm`a9NH9UX|pKmhSG)Na&mI&&I+TW
zahsc)|AMV8XlW4xD|mTy_wpM%f5qUAC*p?JSZWNqNJ~Rb&dxdTonw$@d;0q^y1Kgb
zTRnKGsHh+aaj!1^tXG-!pr@)b+s@Tu5lG$eKr1s<=1*8zW$y28#~U18|2vo`vzaOl
z)W&Y}I_>VK^^ZQ?o6dXHV2_E3**R7A%4Xultr-p%7gtefY3<zRWaP(>T{abMVbibu
zsX<!i1;y^T3xk$UOl<!Be`W<gKffoOoV{Q$&64E%yYmkHN>iD#sv3|KB<C+xc58;O
z&yO5lq^qgfES{J6fVVF|QQ(lnd1-4<*wG=?+Sc}GJx+>&l@;rJ*<T7B_fY`2uC~kV
z)T^tj5Z6-v11c&ba|3W^GbDZIo*Mi5vw`92?dG!+o6E^EcYOvvbB=tGz{wlOY%?K%
zW;*<(>|6gRel09y6ci-=_U#*383bKiT^S~OU#x~dASeF_DhVN2VloRmD4RLH*JnS5
zhH7m$K=`h8hvEqPUh#+FQHFgaW?>K#A{$KR>@km%2m@(Jf38e&N$(-U)Lg4cvD=J!
zf9&c|8lUUgq9JYR<j(KkXzuRrwu{XVd%_7Sst$Xj$nsiSTc^~m5BMr|m1JbP9yU1p
z)+@<5ID6Y1T>G6LF8*ogxWxn4@jJEqLg3lK{Od_k5bmEr@|O$8Up<?5=r?v>3_X}{
zFb6q9zv>Mdlnn-*X>zuV`CVLp{##f?1W}PLHWD;=Y^FFCKqB9ssah8}zic+fET$lo
zbX<W1?H3}zQr5nIB(|C^r@pzlfuM9jyKcn&qqTVU40Ep5IvC_})4v-(lL>CX*(mz?
zNv^G}NfV`|rC|~f^n*(BDLFX|1bK#(KTW2ntE`8IN2cDplA0-IX#3P_Fk1xLUuvVw
z^1HImghQXw)1&tHZQoj2n(s}OrSg~|i@G01gG*s}&{8L<UjiQ<#&c-DWR|=+ma|=G
ze4v>303=TRHZK9)a-)y4HI~!6=aW+(>gH#Y?UsmYr+hn_$@wg@z0VJ4T0Ku*R`7|7
zQ$0`NQqa^S1m&K`Y2#U`eid??_jx^4^n&xK#09uS$Gv2)p+*n1JAk6P!OFQ`rGQi?
zE+GL<5qH4_u9hlbGxe}x@?{f@cR1a?`6Gz6e`jX}>V@kd4I3C3AhO%1PlRr}6CWid
zB{TS~iD-TQX@L^Z`}B#J`=Jr?3U|kicHSaLQq4_GRUiXR?44#jeTU7?#%A?2P1t2y
zQ&dER_sNrp_V#w8b{~<S_c41qF(;okzA7hN{DW(}vP)nBg;5#gPsf9~IwtPeqy?uz
z&SbY@4ZRp^-TUb(bEQ~nvE+`stCHUmuBW$P6|QHiDz5KgeW1#Rg7|fDa>}i#;cIJc
zZ3LHo@b6?le?@)lmF*ULjJ4t3U_M#NZppV8>-u`%tWuEzgWsKjC@wB8wb9md%_H&g
zM51D1Cw0>%jLOL=De&IjQ0}&W+A*gbhP42X#Qr-y%?}U9DAdTZZ+fQV>t9R(FO7%6
zR4_0w{7xtJ^lpqw_-8`1cR_98YU#NJp(@Z$H9I>y!5_oa^!6uFSZJtmeOqx!0E@<#
zQr_2a{<|%y`&9sGI1VQCjP2rULxxUu5a<iT#x?$}fdM%Im2hXCQrwgcrI8x-bakfP
zP826h+e(+^+Hbv#Pf9Aw`)uFL#ANC8NtJpG5v=~l=;&6tam!4LyMz5~b$-`0i(yy+
z1+4y)Z-=MVSjm<iBOf0z;%X6VhzEKfwN0D6!yMm!yX>%3J~(+&@_>*~bFbW&-VkN>
zJYC3>KZ8(qMq2g-CcQ0P4r>UZV3D&bA0uNP?;c_9&mRK=&HKwOq-D=f(~n9@9>PR3
z51D@ARl{dA>ZhvY^pf07SZD4C`*fv22VvW}DKv5V&boXcPRwIlta7N!m~XBnc{A*7
z8HR+>wZneYp1mQmB}!^J38|<{XGbyy>+Edka5CB<p03V`^yKQeZ*bUb%a>$X*%~ab
ze>lysQ(>%Z2@-YIwYqMG(#SX+yb~pV`KZ6+*|lOhIvhVWAx+VPFR5+8cHZ(yMF}Am
z#1E4?Eg=q6q-|4lEzFf+C%pRz96ipx8!aQgpxwN{>%*6k+(ekDR>-dSnm4S>zGD#D
zV>yZGkKol)G86{@)ky>DU!IVd1_f!MNd8jwxXn5*YQEQuwtBc3+&mKe>u4OwpK<23
zOd66f6o6dB8k_!wwDuBv7}4Vhn!$-K<6}JnQ%ovf@C1z&RYrHdDp4v4Yvo~pWuM-W
ztB0yTB>o29WM`v|$<`LIr=NhRB$6bHj(ncXf7xLvjUTh^rnwEX6X2`HT+r-)6|EwJ
zq+e*QU-`cDDxY_cIL1M(6RE+ejhCX+`RndiF28Ua|G01b`4^h1UZ(I1xed;Ug@vUM
zPTG8Iq*jd3=JGFl%EIv%3ECGTY=L_PKD{F`26<LgsFQy?+eTjs!>W;5@z@+(|6F^|
zc79#^Q{S#6#P5|;765j`a;oxC$R)M|Tuvsi=$~@$tRkx_KO35Y!YNJ{Wnw|iUE9lm
z*xlbhE`G2d2(7V!#eXR2dC3((P)22kjBNo?Mn>|w-uaMsy#My*7m5&D(KEL9*sgbL
zC|DMj4V*W6d8E^k;3X6bKGHx}Kjk6pnTZ}Of?g#yk!q_|#2Z1o8ch2ATry~_qEf6w
z6Ek&nq(rdcPN^d;5mZU!_cV5Y*T%zUyF!FE!&xumYl-ZJ@Ua4}Mtf}n1QHTD4Mrmc
zY3B>8r(|Sn(z3fLJ6^MP2&<(&JQfLXP{qGsW(#bXuM!`B24c^Z)1BWgFqf=oGhpRj
zebO5JxZwxxy-Ew|Y`3zNATc<<1d8J-Z5|{Z6fj3}Vj}_ZXLM-Nxu}+d^~@^)>A6=#
z(o$@(J}%4I9WVN&5_ZoM@RN=<v}(JTT<cxHoFnqcD{Ml7x;H83O@H0+yfY*!XN!zF
zri;jg+P}bln0imMmUjpsVJr+#54}b{p5Ceb42K8#AqVVO%iIU8F@9CgTkHO&Z1&rY
ztFAX;%vLcuyd)1hb*=}CxFpW3PpNny_f0g$ac1nZ=%oR%ef@&Q5stub9wq99G0{t6
z7n-Njv}y#=!RqPTZzj0w^kT|B-Y9C~JT;TZ6c?|gkuLhhW1-MEXLkhqUUzMJ{AI)|
zVZCs|I!;3aN7VMn%TNq!m~``e<p#I&iCT|DNzbJFS-EmVvb<~!S}{#V<i&bq72D4x
z0jzQDXIAx^afkUPV&S9D7C5_Dzn?Oa1sN9omKo63kHA8$*IXU6#=@;}SCg$pC4zD4
z`+R*$Mz%T%N$Pc`jDKu}FA02X_MN#mZJEpo6Fe)I(`U(<?FJ#?to49K>pL^i>t~LF
zYV3EFC2e_27iHfn4~V>{8A`#9psg_`HB~;k#|VvKYLA%f`wV7yGa7zNP;VaU%n%TZ
zAG<kyU>sMeE?bin5vQ}6E2|pVt@y+?ExEI0-#DT1QL0zl9~)$oSbW2o+KH}y@PC!+
z<zE_}5>LUqdQeJ|x;>!tvPWg@RqkqKlf{8MnW~Y?$W|q)v1Ys&4%fqA;_P4=q0FU)
za<2$V8ID;pyD#DtOSlh=U)Y>@o7!WnjHd>sB_{GKv%Y*lL{wc>e(nQ03_EIS>ep^=
zZhrPZKGDC6(b98fDBLR3MC=Qx8AXIEMHM~U=kvLif~mezVYGmfykJicMp`p`#xkjN
zkZ>2X6Jam4v{o1N6$Ds_U}ZYs#q)~?aL5N6YebPOQ*xU#)4BHmuI<opwUvU09=r~!
zhEZ`rgZ<)eMr!J|+s^f~Vt}xgb#B`x4;EXdCkI5ul~qV55;DFtxP6UO{~nH7@HrJ^
zpSd?j@rEtn(Q8p*;kQr(8V^|j<<Ij(Z3{>P*-=~NmXV2RqXMb~2+i9?bn(5>&8w{g
zhy%3a`!7C!{=7*o=C)7>-$_Q^hUoC5xdM6s@^=Q!1co)N9=&rIVoTIMihIPn)(akV
zadmY3!7$6k!BLw1r$HLdEM;scmf!e>{|?zSUppdBeZ}{TOBsSPkp8iFMrrTz=1=fJ
zS9_;kw2-;7q#4g6QTyfgwsiHvC>9Y;e*W5;ygYLa=-kWGb9koCCM8O}@H%m$MKP}`
zL3@`LIz)qlyBvcHtY0HvoZ|^CjE#?v{}GG_b4xJapIWz&m3;xJeE4lO6wr;0yq8Dh
z+0pi#C_sBRAMilpnd;|g(5D+mz${qG$;ovfnNIAu_)<|*vmgr-laii2hHxnb_elaY
zki<1jO#D~^g1}p$d5SS?xL8;QC@XZ(woCIhB>dTDYoW<`7Xa`rzt{E|)Xj6H&#WS&
z64wS={-6fNN&7H&S^ImnNn${W%@>{4YH+`@v!}|U&@uhx`r{}Xj4=gP0qoB6l-9HL
zBb;U274-ZGjggU&@XX9i0u+ysx5oabIyWQZOK1_y@~q_y_Y_H(LHbg5l=rpZXx|=H
z!%F-Y>O0bdgFS<h3;Mre(A2tK1_dG8`1iE$ddYv$et+?}0uTE14ZahpyyW!L1_kL+
zqPC^-7XmD-CM{M4=mIb-ZK}*K%A!<rnMHn)2pEgM%=#9QuR<^BMaeST@^y1NF92nc
znrcWH5*O%Q2s4ZW8;-P{m6+(l4eig>l}H45Cu;8{Y6IjtY04AL@(mYV?n!`52ltgg
zfSa<ia)NSkVqzkt8Z%rso|v+D3P6Mx69puC(On#DKGLBYxkMMA+Md5x*Tq|c2gfp_
zK*SG^GQN<yH0Mk`Bqgm++2Df&nIAu<{#IIg6Z1Bxz}iMJ`cYN*hIsyj<+AU&alQ8Y
z$3HcY=s*|?<?AGBzu$3R_I2-m`;?mg5>Q8(OZG*EudthbKbwfr(fa6t(Mhax(eX0x
zWd;~@7cpqhTQ?r4h+j1IDC4u2x4L=hv?-4VTfSGiYJs`?qU&_iZpC937I%i(OVBn+
zDJd$#N;;Ck9R$Rq3r;`=h>Oy`qPnJpF_J0c*0_@+)VtycR`$N)x-+hC-wa6`&lMHw
zP^7UQ9>KnlCR&1Aeacd})h!C{MYI<YwuAO+*7*EIC74a*X0WKHFIw*#ELD0`h)y)n
zKT0K=l`YV}-knozTq*e1p~w9ht=LQpKD|6KQBo(G78bwS^A*Okas^C!SZI-aJ4KT8
z3mu00(WN>}dife2&cF)!$7AAll!Y@br1T+Hq+qX|bdc+;v3!R9^AW<fn3FuBA_bPe
zAH1i3J<>(bzw+gOVprd`M|j5AK=sk4`b{Z}U`2$8R^D#?^}ex&99U38g#nx#l5d~h
z)AKC$WPhB)T0T3#yNd^n%B<dQqmER%OW>Kk(=5))ox@*gc-r=1Xo#_m9g&#{E@S9E
zEXqH2<O&FdEXt|!mKxk8rUwVIb);$v=8;xBnwEs!Hsjn$W?Pueq=;Z^&9M3y4far>
zA|9JbtGe$?r$#030==)<im9_jH&+Zr1$VE_dO^vUNeL-vJj^A!yq9kM7BLHU|9szg
zbn@yJlaIWUyDw63mG9}zbHo&+$l)Z@iv#1koM_@|p}ksI8Sjp~%3;pEtjPE8&7G*&
z16f0?9O3nUzAYcEC%$q4Ot>WY?pqyX^17JO+5g<fg2#?$M@ktd`^Hg(vivx3qKlcM
z4v~MYZ8i^NBP{6OQx+;c){L6#BilEA?)n^~VEN4KKKNkYINXY6W4FnQpS{2Moyscj
zlUAb4PJQob6bL+nu|t9vtDdCB_Co;<wv=Kra{RqW;124h(&J+V@2P4I$0IuGPelQ=
zr-!{yZRvIu?Cr_i9wc>IL4!rd1I6RJzxzz?L69ITpVnzFtZ!@m>zw#n`M0lJhF^mS
z)@@&4XP&67k8e5-j%v2g@CflJmJf<)!&07A25LcNXh=b2Ns+ud%AW@mtimY-GeW4M
zc9cch15u0pKjD!fWp7nq%uEi9zkf*b1`?-E>J*~z3B}*+g4{fGMWyHhS<AzytObby
z2j-!|dWzvaJ+6tLX8%v5z_r~odVT3A!v)qvKdr!*=mb$ZQJ(=ST(E0Np!RL-8JF}#
zoc1mONPFvmx7;^Y3C5Hom;FG6O-)nj&N=*2K>;l?aziT%PffOl{Lk@mKu1SM+aRIZ
z1n9c|oQz7%w?va_^!=|2MPNw5|I!_O8nX?IrICmP(!^W~Zi}${A(e^8Dq1wP7%AX>
zQ+dtN)iZ?6JliTO2?4312>R*ZQYmh30>lpry}hpmMg4As-<X>t$oRz;ck@4My?E6o
z;~q@>ud*{Ts7eiL`j*}q@%j7vKf(?3>X2e&L_x6gPEJo57#Mi$7ldzaPDYQ<&-=TA
zF_0j@0(t<}ku%4w?WK+m9VaIqtN;nh&CB}?gGEaEUeSS(0lR4b=@gru3)IFn0&3Ck
zSI?A{a{wu;TwPiD2@MS`#rHLkBLvh+^wKAPZ*9SC1*c&Sg6W=sz6Xjzn(EN#XoY)v
zrkFdZhO%vY6ufUx85tPf*YUmiju}fO63>*Dl%xRF?H1X*(%*w8T|JKn#F$Zoedgr(
zM4g0kb!lnzyLaz&Q!1P`hsY^#!$`09a%5+|PmS#ZMm{e$ccws%k}dzD6NR9%u`!hi
z@V3%YQc`Z)V}XEhSxeB6RF0>T@)OU?%i}zF6r<>NxR6FEXiKMDke@%kyqpE-fPeq~
zZQyXXnqt9HUi+m9EqO447y#8??{J|hfyr~@$AjjU7U!Swk8J@B<SI%Xjz`(o-7Q;U
zx8yc&r=v1HJDXObSHY~@ez}?6dNLx$dHOO-67aQ1JQ5OZQwWZ10}zDDQ~1Np^`Ui=
z2HppNTC|<7=ZuPq5&^paP|+CR&>cE%1*c05dRh*f2Y)FV`;Lx`6abb&ugtI)FkH^_
z^>(LM3y=9ji~6R<P&>D`tu}xE=6(D)6woZuF)@#o@hSKt0B=;|BeS@;n3kN}2MEd<
zz|obKmNF?bGc*6{=?Mlq$-%{Ck-}wsu@=Ss7hneQ4{N9ZX#IRQnEdC*XGX*laj>!V
z4GeyU;*dE3WXZ%G#tbPcDpmv97?6U1?Ac_=@_AFIR(<vv9O-`%@eVVUfufls+TO-o
zcwm{mNmnlUce=L$e@{-<H;2=e<JomfR{&Wj1Bhai|4y*eDZyloVoI=v0rE50lmPra
zmAD7bumv9ht)!|Noa1#hAab5^am9jZ|2saeM185MiVNzgO1x2v8>g7dcIVBFPjX^n
zC72ozJJz?y^Dg%)I)459`7w%=bM4!U!Xj&m!NEbBkRN~6`#I~xk2_I(?k=~=>Xql*
zylBYCl=SrUC}I>#j!I}?Q;4&fEbP$3R<rS~DCQLrX)^JxV91#j-jLPAnFQhRZ+{m4
zl$ww*U}3>%+eH-drQ<(;WE>rNNV!dL0l@=F1AdUl@5aM+rV@!c0Smzv_7F(nLc(tQ
zkASE**5U7u;E}<h^uh#evJ+)1OxlkB^wXLHJ!*TZj1n0cxf19q6sI1Zo(6YEYimJ3
zO)0UP8vt@vette+VQJsDodFe#42P5hGT_rFwZpOTE!Oa__$ujpwA|5AmM+7O>^Y!?
z<9fDl0HPg`j8Ny@?e&NC7$F9rdsS6cJyTOt0DL&qIXyjHy#S^c4XAbTi<Mv?&&gO>
zJqd`)nQr&>ersW2*ggYviCz!~j#vMz0T{&v>W#d;Jy$a4tFV3=Z(Q@f=&ITh`0de_
z^Ggo{8@Mi5SSVoO>+KgKS9`*zJ?ub!dcw_J@v!edcK0C(iBVODo|D8i7exw{b-gBY
z!cQlSl|U4X$`9*`su{u$SkyD5Tigy-wze>!nObXNaQ+rp)qqc|wT7cRZw_?<l9AKQ
z9V9JADJj|yA3o5192!y$2@f}4Y<7M2{JEUGJnBf6RGfOID80Bi;00p@rshzgHj~%u
zm!DePkNOI;{JdtZg@lA!!DYQT?jfiGBZH07(bau(x;v@g<n$P!BHP^l$ApdT{OxvH
z2-hfPMGHLPYC^o?;u%0f12{cH-18|rJG(VM1vwE>HyCcbzdt;IS#2#ZPI3T9jXdn^
zQA{HL4}7O*3~zfeuT(sOIYscoK=)crqg#R?oX-d^03fU-mC4A+KrfcegiyVf{)7AE
z%ADelsc8L+ZER$;y|E#0X=w>s7K8G;1c843GP@{na1*nISO3mc%wbbkCewCWdJN_;
zSsnA|R=O!kNxcYV3wA&6&@p+T4fLp2_Oyo8Z?Ss1ySe5~CLbOruxL!BR#;QqpJd%T
zF1Py%E?*nyr89A^T0{Y{hDO*i0PwhFdYrC^aBNP#)3q!+st4kIF02Gk?bXKCmNSrI
z_7_`(8f<5OW$zJ9XN6d-f8td$`<#~cF^$i1?IX*V&bIR<n<J+Xt9XD<DuMPO{r-J1
zsIj@q35*E2|9>i`=CI*sAQ0o@<M)jf6J((J`|f<gX+=QSXsX;A!)rZ2?N4M%N9n_L
zzG2l;8n6=twt?ZB%L#?YJbb%0_;v1_xvrmi)y6q8Z&1RJwvq6N4~(O%jG6cqYQ9D&
zcig-G^+9=;s?1M;r8d4V-kjn^M1TZExXu24WW5zH&(4s;3ZwqgV+GMb5OuUp2SyQL
z3}8X|#h7S<g8r<b{)2UgVD0U^*{YUjrw7j_DRpF*po>G&uLU$7jM&Yu(TF8KHhcg+
zUTPKFND$zB>WMw}Ox(5*e47zG{}7n~WsECr3zN<#GVsgUH<emuB3SOM$IbKlVEjCi
z700v`*Jh`M<!yzJx=LVNN<|4~=@wg4Wb82{fBOya6(;Z%yk9C$i12kVWA2idV)Wy!
zLJ`a3Ik0g<<3SzRl`OHgkQdZd%XI}OH5|lnhw2*2(#0zLWaYCWn{ur-7|@fhFX#zU
z@hu}iTjI;~_H4}M?XrFQX~R&$T-Hbxy28hr>ir6N@&Ehz{09~M>Hp^5_@9pR|MTOC
zZ8(H@EX>S(uUTDxEV=Thx(OjYZVITHSW4ngOiAH>ExEj;5CNk)Fb=Ttkns8!kY|o_
zTO`qTU@Q|1IPIt8F^b+P^jvwNehKofhlhtCb5^;NccTN+U+}q=pxV;{1QY&$T7Huk
z7Y9%yKWAh_Bb*sa`TWHf7aq8@l2iaB)enhz{$=vJSjE5v9s}U@=mOPK%fP_ea}f?F
z29n6}>1o{%<Hw7O3ktiIrluVCqor+lp+=9pJU=#Qo=JgYW2Vi!p>43y;$&;IA0f6J
zogd9qp#Zt7Mm0;^ljx}R1Rr=`#()3-Ndsi)<m8kMH@+FTx!SAn*vfRTv|kkcgzCu4
z-{7zu3*-)AF)_J{X-0N-90WoE<VJ-#L8!#f&jpR8fB!mtYTduhB;zs)0IF|d^#R#{
z%Jb)|YirszBJoeSxWdB2``@L&`SE~n!_n2XOfMbr=+C#+-|E?329iH|6cJA2RixM=
zBO~+Z>D!2RS3ro>2TlO5)7{YQY`Vc4v!1X?;cBC17uNRsJMU<~@)W-(Qi}>HDC)8m
zGzX@enHoz1Rc2y@`U&cN_v|b%TaY8vX-#cy<V^MOl@(LfR30QCMh1f!-ra0Tp)@{n
z8WlgmWmbcQ$ONO)1GxjhH${+6{&`8r%E>)=@Bk^Fr2XdabA)dKNVE!|jsp)#ut}R2
zJ<v5l>FvBdUykE^Ri9m2iVM!<V(;~Rq@dm0#O!7e8jhxsQ8W;B2|?2A`$R8yd^-J_
z5#VqQ$x9|^0#>g5FctU=Fc=saD;mpue0;_b1`SZq1Y}Q~=4$~Gnm+y(Q6LW(3dhxM
zv?uw;eUuJ#EG!u8dgb!KRsnuhdY)JS+YlWO4<WEJdF<q;5K>V^gYEj>+q;?*P7@Ry
zi~{UI(EvOAJ6fiF`0$|zSO~Arg<~|01O)>0UmrA#gBp*(BEYiI4|HmD78VvC@ZU3y
z9~d`BGI3Vc#t%O;DpfkJ%5H3Itbq0QgEGxy+8H1^571^WTtg~`^+iGF@-i(n1{^6A
zO3^9mDAE=d%m4*bLY+WR)jK)>{XjUN@g`DJ;^TvWkANIjKo6Dzd{+IywNkNrLZ}uO
zZ5?UY7fX!;YBJE88J;}B1P4g>5#U=?baaF%24Ij-ph1E#B_t$-YG$K>N{j;ig2Q>O
z#^?aR*<bFU1z?L&DHc_^v8l=Ic%^Hm!GZQ!Zgn*gP#oozm9Y-nukFQ8Cte7=Cl|7(
z%E-+80E&6n^fVc;aOuvsQh|OcnnIv>#2UH){ShzFAccj6O#!4hUD7pfajT1V*8N7Y
zuA|b`+l$8ZIX+(dNKgUJtOUzN*U%WHD2xZKSpQO+cTQqAz*?UZ6H)U?n%$4=v2fZ<
z;yOE}fuz2k{K~!ysCXcbP@o@!gL0swH1YhMM6tIsSH}+2Zk~4oB!dqS$ei%OgFvv?
zhD&<B880fPd)_`ZuseAl8XgYXCS=eX>4VCAb-EYc+1bg?<qn!6kP9YKg?uiKDa>IA
z!1kQGEd&_jdf@PrVjB{*U~pM-ii$8TYRK{N@gc6*lRAfG8X!^6RKLUd;(aLMa<oJZ
z9fO6xO2)y*@B90EkW(oY3<PmWa(oAxGw_o&|4wXdY<vVl=?MpiJV32H9>=C6WMl|=
zJt8VfuEXz^<3Lv`rd%|rW@>Y?xY@Pnb%!6qbq9PW9{^dM2e#3b%lv5?aR1PRgoPQ}
z%>##0XYZ?KCjN9O5eYH@D_9tyh*2OQj8-}<OXAXqKLQ^Im$u}$Ngn`~^xWK|L~lVx
z3^b`w^6?P|QO;@R28?34wY4OmgF#Y8i0sdkIb`0yX9HbyAc5osgvd4kkb>>9v>v6f
zu|p03cVl31kn>2&Z9nyQ-Jsg*_cs@R9Npdf2a?!<hr`e?5^$FQu^^fWec*{%SX_KS
zN~&vq35-l6BqZ6{*-$t>b$9i<!Ijn3K#&rQs~mE707TIO&I9V>LGF$f;Qf*T-Xi;s
zTQ>w~R$&DOM3hm<YYw2gJA%D1zc^mK0RApK(5C|9*Ba1(mB7tL_~)K`0}lH;W1M(U
zoz3(cc!AmzHa1z%U;q~w8c1d#A*e%{Vq_pN<*cn)4?FJtK>U{o7}^j+$S5dPUZ?MY
zg9Q}>V|}G77~$tYC!oQF>I%4jZ)}8E!wXhpgqAvi0fdl-27hHu?f9iog*WhVI4rj}
zZhi4y+1SuAzx+Lz^6JjN2T!OI*kl0WuDT@U9OwU8I1}_zqUjcxHR~=tVW91IbabrD
zFw_MQm&(Y<h~r!pcnP!Z=Ib?8x=eXY0Y<Fj+JvM*l!JQ<c1mkKF@*^@dQgBj?r^bX
zo`l1-4y)4%2cA!64U3A7j*k5M_iyOmjk5x!SpMF3lLBW`2;;*MJ4nCk>iBN^Gl5vd
z%tmfa#q297+A5P5rwXqoCYb{UmoT}%pN@(9<3=(61_nF*27Bu6?rxANOc7X8)9EW~
zxdAYY@B*j|YPNjdr~e(Sn8V7X!Fhq2xNjU*88~a}R_Ttn_7`v}fgp#^wV;}bUD^W+
i>i=kq#T-w)lfp!Mjz+-JI0dY`kg|fhe7US?(0>CSiRJbH

diff --git a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map
deleted file mode 100644
index bd698e3..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::KDB" name="bayesnet::KDB">
-<area shape="rect" id="Node000001" title=" " alt="" coords="34,153,144,178"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="27,226,151,252"/>
-<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5
deleted file mode 100644
index 138d696..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-f7a2fcb142d7e60993bfdd827f6f96d9
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.png b/docs/manual/classbayesnet_1_1_k_d_b__inherit__graph.png
deleted file mode 100644
index c151753ee436a1b688712d802b244b95ebb31163..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 10088
zcmchdbySt@y6#`3R8YbXl&-0$l(e)c0uvF$06~y0>F!oSKwu)BiiAox(nzC(NOyNi
z=f3B+);edOvDZHT?LA}&W5yd#-1qOgt~cP3g3N{U)aMZdxqz0HdJMnw5d;V4ECKvA
zoN`JCzX)_5$Vefl*ni2D>EQ^%h@hn;pE|~`jJP~~rhg)_zANtN$>Md!dfQjW+vo8O
zUtDHPD*8byja;-Yi*RvcPFovh_JLBcrb=v&o-V&mObR-TCpK#>L@O4DEp3AaH-jy_
zB9t*``2FEZ{CD@$lUqBEco#1V(GH8}6shO$4jc|7%?Viubd1hfB6yOdfB%$5*dD&k
z%*<3m-OE%8V%&O-LXSyHNxdKbX5PF)6Gj|{TIlv-dqC>!H_d~{m}~SgHLn<SB$_Qa
z<9+B;NE97daQ;~n$#gc7$(udH`)q#ldFE#CoBoVMUl`$qyHO=$&WoEfZL)H5b=ex_
z2Pui=-t2At6;1^$!YV2%uiw16&}`PW)R!}rRWf?l+?+EuHujd&re1whlkReV9^yGT
zs8(^b+18(@OK2;sQO!{O<;(e@5{o92oJs-_5fSw=Yy89AH5n}}M(Ggx;3w${+Eb0e
z$L{Jjt9wD}%F4d?{4Q?Ga41udl6t~j(wnih@r=43nyFX2)9sEpFxU#ywI_-N`um?<
z9x3npXqPDBaFIl8i?r(Gz(nf)eeJG~_xC3J7)ask1%@4G5Nc}b^_?M$l%k>@X8ywB
zVrD_X%lYiM$mHZ?Xn43!z$Mm?aDn*v_>@BCIeG>L(uVr_dFlBD1q%}sl9<e_Ed7TM
zAEpmId-hBza)!QSDEr&DSTi#-y55qaqK&~K6OC0vK5A7Bjgct<F)^{2#Kh5*SYiTP
zob??mwL&AZbj74m?ZfPYQ4I#+uQt7zszGnxF4`W)3)#qGu3o*0*ZJYp?Q=>wHTqXa
zN63vEHw;P^7M)Nnv$F;Qf`V}))f&pml)SvWDIDZ_F#6dqD`R(dcHW}`h%R&Lxw(m<
zdBnsL+}+)6?d($H;%EfT2Bk3S`FiK3CMVz9!)0JEDK=IP^W*1F{X2IMJ7GFM5{CB6
znyyMt<nE`3V>UmcxoxejKbDjTR`1W!V5U<aM9t67H;cLKbPf!}PzU?+8n)}1nPm+K
zFgT9m$YG>l3h8fKdZNlq`Z&cmn_1-CN;n-Trtyg=EeG=TTdh^x1p5eW?A%X}ckyZ}
zDk?5^+_SRc?*8>l)}Gi}b7_7tudeRyMH+#i?d|P&eiKSFQ&a2-1;<>&{Vvi?ri6$O
znrX^CcwlU3*hC_66w1lTc{CZwCA{^Sm+}G+(%8_D_vOpmfq{XojSX!b9cHxk;_uJ$
zXtdH>2U}Y`SdSsJLU%7;zPz~YjM0;pCP;{n?;jriad6=5?BukO8ud~~SC=L5?c3Yt
z!?&+py}I!$^?|Luy}`qW7q*?n99D;0LPJS0f<DBaU0q$KMn+l+3KzvhMfbX77-G!A
zmmQ@Q6cy)aEGoJdtX)ENb#-GxLu=-eJQ5Yf_fhaU$DL(W{iN&z^K6pYMfryhQ>9as
z8Z+5S2+O$aw)EnM6qRAJj+P5LWHAh`>o|r#qPxsA2Th1CT+nxRKA=kqJ6y@WfA{Vg
zbqx(NYU;Q8ZIMi3Vs!cJQ&S-l(zdpIH`&;%ChG9}2L?VQCnH3Z?4DglQU(Us5JrA}
zionZUzLk|?3h}pbDqn^?j1%xeVUKg^l8<iFJ1-P94b8^M;aUnT_l=DWIhqywl|g($
zLP9)zd?pkM{>L{MTK-Yt^d}ci%Nd2^iITmGK@rmk5TiC~2^kR2fvUJApEBVWFJ5R{
zSdgF>*V7s}w~O8-2H7|`^UR9aFW11AwJa>gz7|{baY@2LZ7j8#dOuTBbLXkD^4*lK
z@%n&E>l+)AmX^2d*G4bU(9j^BaKVx6s@}hUKfMwxO)KF}%ch)(Ab(L(e*EwO=SiBp
zS9P_-(ebg>d?%AE=JmNt*T%<deQsM%pOt<`8vsZCl$sjzdunwx+cm3uA-QkqXYqiF
zNpEKD*PN=ibRzcHPdB%>H<qte1^)W=xZoeF^I(7f!{^WEPLJj!M1EVtfSQg~(V-sp
z?*5;<fio{Wi_<8Z8nQqhDJkLj)FN5RM96Ko1HQ%}DxZo9QPj0-%&e@0US3`ZqN%B=
zUroWL%qT2OjhzLB^e5&TW##4H8yfH%8XDx%*>2wK?C<wC>C4uh{SouL%2fzvGVJ~P
z*LF+26B|toDuX>nCx4CyPU>S#3aSe|a4BE_VE45BW5`EFMkeOx{R<2Ep#H|ty6mow
z7#SNctOpyf3f)qXfeKYJH5|T?yA@rs6vdn0WmLa9QjUWdw#V1z={DuM?pyywK~Xy}
zKn1H0@tkT3Ny*K9bWX+5@%Hk{N}hfjWqo7gO`LcU2hJ~FzlO!f6JxG(a!Tvzp&mbe
z92yrFn2~XPxYP>Q+}zwhDCns<Zj5gBL!|RnQO4J=Pl_e%7XK38pALs5lboMVo|>9^
zorB}Pni_Q^r^b0jMa9>?zOgIiW#Z9ayK8H4%I#O`T-GZ6U`f_$-MW+0H&x?>+h6VB
zk-lqws3xP?R3@lvuH;tMPa|T_&ceciEyKam-~0QY!;YpVCh+z1>;CyOSX^8@C?H@0
z3h=_rOalf(j?r^<6~$R^V({QI78DYSxp?s+t(Y@kks60emRdt^uQGM8w6Cx4uioBB
zNlD4A?d_Q=w?lc(yJ~7`@9lMTbV}`(lncx-(`gUmGP)NW_tv#Bdaw~$AI5$vv{|w~
zY#7Ztl@7X6yZ>kI&tyYjtANIKWkyCuo4Bn?I(yr2u^9~%S7;1Sw`3d~9A?Z(jGgoP
z`h=Z%+D9~&W0oGMl$<Ts%`2xYxq0J;wv&^S-?qf@RyevA#;Y}}5DM-sX6BFGJA-SY
z>XpttdX?;Lq8=xrfByV&akKdLRRDcc(bZ$|%i73xt$M=rPnR5++=-dCC>K5gx6e}w
zjb(yv3&Gjm!xM6>&@a?5pA<QcADci~Yfq90(L7#Mas2aBFi)%YOd!4DBfoG~Mepf+
z8G5JsX_bV`owN^=lRBpTxj4|*FEdfDKCd1wnh%8CH9bB3d}-ag)xX5*{NH@=H!x_l
zhjk=~2!`67t)p8Y)eDxkiO_qcub;}lsFW~R99R93`$t;Yz+h3v8|jp?S1Z)3LRJgI
zn@e1!WrrMZM3`oqDW%7$&~<VqeIM-IJV;VHvw9Zdk#T0kXmEV@<kByEwx~~PlR>7E
z?@5VjkeW^bJnr6XnV(Xj9I}`V;<Fq`mef(};C4pL+59*4`j*tFy-^+~nq5=jbhSLx
zvrCf2q%r<X$tudE&KDZC>K?=Q#v@cR!cdu^$P4{cyce>2J#0CTg39pyC5t>UT0hQA
zbhX?wzfZ!F8NOXdM=n{6Q28@i#3&#6Nn+NwJTKdlknV;Z4h(uI4JilQl(k&c3IFy@
zxRfq9Qkdvlr_5x~aEBw^A5YGE#B!Fj;>0$Dxu0CT&ss}_>(}4Ky{8gl;xC{oy?m$F
zmW%XBp!=3Q0bQX~1YY#<5$hQaf^#h5v8>yttP#U0^;BgH1Fg?HHT-ezoLM&0_a7@=
zkx@RJdBV>eN-~}|q|AD9bb2~m{IVilxzr`IeLSp(O7z!pWL*O36Cz0psZji9q>_|R
zCGk`r;gjk8Z@qA^?Ng<gD7yau6L(nfvwWniSV<RQtV#RSKUhS34TCz?-dP?vUC!A#
z*!~lyuS(B>{zWb*SaM>zlPy4#CE+o%llzQ_N(u@hQ`@Ez;=|j#a^}n#_O8ria#qE}
z<z0aW+W+o;GO4HAqPSSZ#YbbWKL5GB)VBespmTDxf0l%#$-?9C1(dxTA$`5QI>4Al
z=H|uC8(+VC$+eo2E-W6c=y029rGPR%Ip39X8;Th8B(tz7wYSfF{>h=L1+U%7{>h;h
z9;?GbqFbH!_70YE$S5e@+z+G#&UC*6SOq{zgcuna)eKowXW?a47yW-Rb5(;0cBn8L
zTcB7(Lc&855)up$7Kh2JSHdINz&82pyQL%cJv}|9CMHX{RasfVec2jI))FaQ&5MhR
z^d$=m3oTn)Tl9VWCcW&^_wU;o83I?v^BP`6=YRV28WH~8)$=@h>50SfRkVbJMB1lM
z(IaVJH~tM&W+n7-ZeMNA&d!FC!@sh!asy3%nNz(PU<sq=>@0kIbTq%XC?_Z=Xg*jN
zfGX2#AqW1tv2ul&z}eZEho3(J6%!ZN=IMzn+6rG}5Rd1o+WWXUeR{H6Jr~WbJ3l=w
zWnp3A4uuER@*s*6h$_rwXZb@x0WUxG1*l&wpcM+t#Mf(ZfoSdR?L{re5wtbjt?P7{
z%=-g#jT7LNbDmHv=^9f?OQVgAjZq>5Wnc4d^|9K7K#R2Q&(+S%$(hSkEils6y(c3h
zQ?)-ECu%!S%HX!8lp36U@KQ}p4v^IyG=Z&^)dY}lSIV45gd{;tY3Xg{XV17rMB<>A
z$ji&4&<Y8{5rE*W$wI=yJc5EzGVf?V1O^fT7ovGsSbP)|6im&{4S>2UD=PMWJ>bgA
z%L}`I|30mtIc+!w<GAqas<4PiL0X!xb0w&fRXthRvn_FOrulgz0Y1K4tgL?Y^z=vb
zDIq_K(e|P&>FMczf(1wCZG~VUp*wx9#B$=-y!mX!k?oS>PZM)<O&#KgL8yJ8FH4{f
zlyULe3O_V4fd1oAaTZ)HZS4>FtNU|Fb6X4D1HHYC-ri?g^M7n^S{vx=Th;rM$tx%r
z*x2v_1HWH~G4h4Ov7<NFC%%JT(6_VWr=h0q@9eC3{Ti=5PB7#$*UL{?Ssa=k$95-&
zW2b5CZKlS?+)g?<>SZ5)=UYzPty-@mG8jU+2o}jID9m<#xMzIp$`5k~lhB{RZ_32C
zKUI(552%j~nH<3uarwP#A9*&v$D-QF#YGqBq175BA8hguT}GCZ_2>5X_84#9zEbY6
z<{KP*0jU`srGF5~F8S)!%^+!(cMKBm0H+Y-JP}b>XQ$_lCuucfV+<!JC%0j4QRq4V
zLCf`VNm?OmJQkUEQgGy7zkbOtS~)nVRP`>{b}nrL%W}Z#=i}#}NIG5KYs>+~q;<Hn
z!f2d7I*i>OiU&gpiCb>1?{8Gn`MMj1IaF`MX2J*2RH(**jKhdt;WZ%M+}sR}j`oj_
zr^O>6ID@#lxkVf+XFm6WIc0xYaYZ=cBB)FPOJ0A_DZot11mzz;o(T>PF125wHfWCz
zfDWAkP=rRKpO=`^(R&<OrD_DvN{kJyc=7ZZSnMAje(&lcgN1#Th=|w8^j~0iLC2i^
z$M)y6w6viU`*evzbF{Jq3r(=}OyW!ouc75~KR3H(6)h}2OM83Yq$CDpd~ajwIy?K*
zItqIFi!LrMrUUu-us-FGx%Py>#l=@BR#qR>+rU6FDyo3@@Bf;fon^jx^Sq$>uqVhy
zW)_x+A;sBflS>HPI~1AsD~buiZ$Q(0>edH^usm2qv{t!G|Bg<C06-YT1uo%5t<#g^
z{!%Mlzo|GHA{)0w6Azbehi8jzv`%0H1O)|s^7A8vZ4MggbKepylq>Y~3Q$Q7_V#XF
zyXFfdoEjB%`GK4qwDgS)yc!0NqpnXQ)6;sww{Kf+&3FBNRis|@iUP!jF&{M*HMJc4
zMSzdr)z=pVv&b96Tin5f=7A%<C^6?Bx`xJ9DB*;6AaAdsuc1(uzdoVmL`t~Y@_(2O
z6)UB8cLDf8iLr$hvidDF%|_2gSLx}~-}*_;zs6Q)n`aM3dpPP=GgfuhltGuXb8)TZ
zo}?$a^H61gY?x6VOcZmuLPpkQ?6TrO4>J5!{>w=HL<x_?{r&yQD#4Lwaj1xzZE4tS
z9q~fnp(*WVL}oYEsVA*|sxIN_+Z}yu7wVD%-ocprA;((vsk{5h{v4%5VrTVJr@oI|
zFf)1D-w84`tLZ`1<=P9?F=}m>Q@W8|xq@ALCQ(ep%nmbDs-)(u|8i|8V_05H+7RK@
z#=Bq02M-9N-kW4Ly5b%xqv**#b@`qgmuh)rtrX^yMV5w7Cy~{HD;sBmg=+c5qNP3(
z?!V+Y#O~6tvcAW;qd_McBK^RuHyfQ*-;jteB%~wYNrp%t9TjOYF*j36F;jZdd*V=w
znyonhmY3&X*IOVP6c+k;o}3mah1!-!dO6@d`yZ38-P=~u#iTMaqLLR@O*F5Kck21<
z_hzE8*d~P`Wy5KFp<IN%li73ru@HAruBT>Fa*Cdx9AaN0_Q@h_B9it-k6m$6rvq>w
z4u&ofgP8dd`ZEciQ&PT;-iBj%J(u)M5Mv(FYVho{A;E&wjw$sBA9*%T?t+f(P$7B6
zZhQDmf?^)KONP_#X<@m4k^e|wHo~JMQNO=SKsJ4HO*^$dTUWlux2DyLec>fz8s)Lk
zN)&B(uP@uYySlM1ZjxIFdNM?I=aQB5s*E)aC20m>XXi<XXQH5HT9utf<uJj<i-Nil
zT|0shU@tN(y-o)G8xQTjm}>uXFZfLQRC)Y~8~ZDCtH7Qv@{S)Ff_%<vZH;*Di$Y6)
zzp?+K{2fy-CxW2Rzrb}NZf|ez<!tb#&C<A2{WUvVT0=vlN#eT!z7KOVlH9#84mx0k
z=k-famy#MI<9kC<I`96wJM@{|d0}BX@{J;=`s7<tTPaIU#pZcXQsZ-d1$|zLE~`S=
z<&1-agLr;b$(aPZunw0*)H8xj1#AV=(F!W)yX!kUzU*xonVI#VtGI1u<=I~p6Jt=4
zk@}*$!!~CxUiAI?l}%3-TbQ8|lhV)xsumci<_}TYs1THCJa|APdpEt?&M`ADj|_an
zH>mB^hPJe{YxB0>E*^$SL933Bj~5<MjMOhIEYzCs{2=zK06r?6lBZHsWJ0o0XxzQN
z)vXv;Nb}cUufh1y-*1gz>o2omy(S;+nVih1fBYkcm)mMmO5bU1v~sUW;)KatG<0xq
z&=TwjSFj^*Q3pG&*Ai}kqf^)3ei4f8cPJWfeSHax_^9y+33V5KrDB~_=#?8kcsr0%
zstRz6=()MMqlN8m!mhU(uff5ZBVT)TfRg>+zV$|-_r^|-HIJqkPVYQ<atSNY4SrI~
zN8iGUh=}N~auZ2(UcBK7)dP6eHz$YdWU2au2)q`J;xe~G``>+iQ<b};_e@RM@7}$;
z-dBA>fxReDwMg=J>+&7aj%aRN0I`vG5g{QYSO+$z>Yx?XoDjU=PsXx3u9}x!&eIGH
zEEIJvr*en7wY4?Z<J4VGPmdA$MUvYN)yIz?Z<!79{qF6ZoQcwu1~13k+dDKqJ_v4{
zT0lVH`t|FcFLRpS-+0nFIQZ6K)QM1ATRU3Nf*$L{&c<2PfhPiud=CiYor<O#MR9TQ
z-q6^IFBk$$;^Oo*Ka<W!acb1HCx|G48;t!v*2eH55%1TJ3kV44|7ORgoTZj3PXPvy
zv9&>^8x;cMxB=I421#_?Y@rW{f`(XixGEBE2R0$r3}$TOf%~uo+BY38%~R}X(z5J(
zx%@Lpf&pBD_3iEZj~<c2`3N!ofq~y)O>_csynTC~n2HBaUtj+$F|pK(7c}S3Ls$SP
zik&#<k_t)U7gD<Xg=}U$QM9zQx7-eFr|0H;P+QJoz@RjIe0*A~!(~|C9L*6($>E)l
zK-c(=jtHEh_Yn~>W(B;kF&vlkn!c$McwS;vVC3Wb3kFXXjb7Mz4#adXh1=~5`V4Ga
zZ-sPRw4R~iZt2h3*=$i35(e?%>89}vrIhs?k7FVXY64K@w$mmGun1m!&-w_~(qN%+
zb6eZ@Pw4Q_q@)lK3JCJ$%NOi~KsSt`Z5kS)SzTRyUi2!$`r6Ls=G~`H|Dt!EXVNc!
zG51p~i&8qJ%QVi70$2f@pS}Hk?T$pTXi+B~SVp}o?lUtp;No$sUZ$ip;E~DB$f#-K
zst$7cGpoI~KH-+#rMBA2*w@qZAuH<w+!A8mPNSi&{zzRts6*nE_Vjq{G*~G`8V7ml
zIDxNUJwC3rJXE46bg5*F+tSwdwT}<3{c`_@quV(-IWi_DY_CjAxV7u><dekdz%kx~
z1%zE|E#a(eE2F~rMiSjICIvZwWjF|U8q(lsfes1Um}-i1>q`b7%wf#UZ=k?1&TOb_
zW48Pc@aI}9<5<KKBGt%^-Re_1<k92D-bY8S*yH!*Xg0w{omf~nhctI|$UJ)%L7oi(
z0c=jJM1*Rjd}b$5^XLrtZF{TbYj?<jpK1UMutCDdkIWT^tK~+frms^{Sgt81W)>R0
zD-*z}X>26m;NWQ8dGqE?t8N0vn0X84D%@!O$?@UCMdMem?t(`HuA9~VrhdiA!4kYB
zB_;K`<pl0F<MU@pc(>~G#07QrYHdpk*q`$A#TGtY8cx#oc6JRR5-0v#)koy;Sw~pt
z*a8YB>5m`sN2?CiKEU#gAq*k8xwnpHxIDaISNM`JyaUa8g^G&GakXsj{SG)<UQm!H
zK@!|{Ke`R*M@mZ@)I{$>OdU)BLeoDaq^UWKrR(?a*XfDQ=hd?IOD19g6Ja6v0t40<
z@i7C$8+If%EOe)H!yZ89b6rIM)s7DOsv9Bl@dZhECM+xr@l25k!Hyz=fIGH#csLcn
zn&_F8mDO?rIQOKgYOU&Ud}_*v<3;h-f&GjY_w_F?OUy^~Nk~FADib7nfB%Mol-|$l
zUp?4f>RhmG6&s0-rN)}m7!(s58xdd_9cMq1TvS8>Th`LrnrGkYAvvtnTUUs$@V|PR
zlenBch?hLvUVeOc*?eQo<CF&8d;?DEc9A^?pjDZMij9zpO5epHet!NBnVG~fF)`1-
z*&3%G7L7TTCZN!*wy7oGUR}DA&Xsu9&Bh_|{K0r*Fb!;2NhvA3Gq|`}8t*zgRu_4#
zErO`|&!0PYu9x#(Zm7#F5JKF)Qa0jPA!|TH^WjqMzq>3r687ibN|Nbee0Nl0e*4D8
zamCB#*Z!k@FD^%Gz1qI4P90TywKx0T3PA&vY7eUZ<Ve~7DVxg2S3Z+hUlqN5m=az|
z@GR6*;6>@F(A~#l!^WYc4jk;V>9sltHEAqU)^j5)x8V(VpUuQWWDzgJO!aqP0zSWa
zli8MBF4@R0+uCy1+~j++galKBYSFC-azi~LZc=Ux-hSk>P0|bBPKyjbC}J6oS-JJ~
zPmZsq8T(FOn6^azX1LSfsjDoUAO37qdYn%EO7+S{uhdfwoZ&O`_j=tfF5P^`f8otl
zf5sO`fZ-k6od<4e=N#>8h`tf}Gwv3Ya$PxFGt7EP;raIIZT;lMG8K50m&zYUYc-gU
zAdbnOD#Lk|g1PxP;63Ubo0md5#Y!Qgve#di2ajd(${4ct+1$_7(A<eb)iR=Q$$BcC
z30i4G1`)^OimXn>`tq>@rMMt6WCy2)gW=@Qb;NTouBEts<d7=6uF~*7A)L-DrvDm)
z{?8HHe-2ygJl!%)4Gd;Qk?#bHjz0He^J>o_JiNSX4HDi@4x3p*^oZ-d2-uscgAGVp
z4hi8S4VMNzj*lYvI=;Ml?u9~M#*wG>*S+vO^eQ@^3jA_cS670?P;Uwi2w5R_5E!u-
zkf{G}-7|ujv4L{eeI5)3lM88{Nfb|VvFU&}bPEvMnyS!7LwpEHbSCQFVC^&_t_n}s
zf-@UXys>!^6BARbuxezU(;tKIV!%i;N=jdBrKMdPFidKgZV4~XS_xMa_kzYp$)RRT
zC{`FR=_Jj`#`gWgJ-<wiMmnOiXYVL0D~FVv0_ylf{nQtdkYETAKe!GxAC5+V06E>2
zl*I8RraFVhtZ(;e>bA!Vf#rj%rwWq0*`oSbAX~Hg9h6-X5aLjU?!#8xSsgL4uJ~Jl
z6)!KF#tYkhX>y}7^4Sb>{R*yaXnn3Wo#sfD`?0XPx;i7e^01&Cc05!JZ)x2FH}*E3
zn>TNcFDwi!xPzOYk(1K|wbAAGY%q-=q)RT(UX=IP(ODq~AsO~rfE`jUjc<Q>9CRni
zACyAOlBrfCr`q1qQX53YOZtxh@5Yi!&Py|Ef|nJJ+~P;;_cC9UWH;G?FQE-Q>bCg(
z4)uFOJp@1!;KK(rb9_QVo>3Pw00e^Y@bHYUt&xC_;ppgiT|yeb=q*f7bm0Wlu4<_2
zh$kdb@`<8Uqobpic6Rq65Z(JTHaG%t1QaJi_+k*P5IJBFVy<8VEWF+>vR3o+=fiz6
z4HXr`;-7>JuB1>09XDH8H|8WxsgQNBZm^>au`X8$5HfFvs86NKuKi)KFjRNZy>Xwt
z?xYhvdl8>nPi&VRNgII<IS!XI@!fAKs`}_Eh~vSO<ELv7z<oRFR+PwNg)se`r<Ije
z=9e!z_Vxm9uCCG1(XtqrnVU}@Kfd0^^WedQ1;~Jhht=tYtY3qZ@_T6;)e;m$EG#6H
zS5_7S?QLswbMgUKCFE4nloS+J;3vt;$xUL@>gDAh&<P+M0^ACRMftbYNQR`Oqzr(y
z1>)J+(QzGOWgajIu&$+;n8tz%n44pcQ^A~3e#BIDK%o(EQt$`0-Q3*#@~rIaX1s6-
zg)_(U^@+gilf@ADcp+D4XxhLi6F)ur1C+@Mxl}D!Ke4oH1s&o`oyvgf5CAzW_t(PJ
z(2F{TB9JKc(u;YZ_F)h<U^Es7DpDDU2YGoA6be<-)AMXU3?3J_2p|FhAPXdi!1tw=
z6K9r}mmfWP<Ozv7w!QN5UP3}+W8XFeUj7aq8LL7(mad`y-XRCy);}NsoABKs2V!@G
z$X)5#vp0Ktj;X=+kh6IMO97jcl9R*#X9~>h4Mr=R`t$W4M71H{<Z)?jFZSdX6*c%?
zpm7#e1|H4L<90K_MTf#8C07JYugFdUb<Y=P0Z$M!h|^Xdj;!4>?Z1_&UPcb7r&x9a
zHNgt)0H7q8>rWzaad9^m(v$uf^E!e!0;dnGU6SjH$^SRx1wBRB6vEI1V&OajhLzO4
zd$?)xF*?@qfONXx>)m!-XFOT=lVAib0GHGcE18m0J;QYF|BZM7E0~MThJ4{U5GiSC
ztmThw)+L7;rIt9|>577?B_Nu@g*IW>xQ&0IuurE<H-~8yZ-Y*Nz4cp9!_v}nO_-;K
zz$_HPS*=@Fl6zj^An>?GBRJQgQBi*N^-_?2T{k@UZ^GR~S%8?*($eJ8(&sTY%1@sr
zgQ^7I`a9fS9+Ux4bj&wyoLlP6`VPT;cA?ACeOix1l{i4vL0mqM6IZOdeO_+QVeli`
zt1Csup-d4_SNvp8_h_f2nt#atP*4}V-2p}sVd2T6{Xf^1Hvjw~1N*7loVZj{qzI}-
zf2E5cG7jgvZNGdal1uX)6wuouBHueYND#}TJu67iZ%&*iA@PH;$5wR+P_KI0%(dSK
z+ZPiaE=dmk0m57<Il1$IB-lWMM$jBe!v%n~)+~0LA4TU7wJhbb>v*2<jLrm9@&)UC
zdy9$<g5i;oJe`K~;m$y<N@{9vA$)Z`Tqywq(+9l7-W*Mfd=Gv7tMCj5_Fc%V*`Y)x
zCMI4p90J#G0-i0pb~@XU6vE)Xhx7UKXT|^kcV;fGoS}_U)~y{Ki~j}tkYzt9ure}|
zGBqJO`pQgQI>f8i-DwYhFW8E@?%hK3Ffn<BUwim?u*}V=Ih5(zWk1xu$LX#IEsx&W
z5{of~&DjQeWM=GmcdTRVXjYJ&gX7tbadm(B_84gB+c3RQ>$|2MODqUI;i-yYcoGVX
zP$(pT*p7{jjTaXKD{;Ex7{|UqTm#iN;o?&}yP|w`h$>Vg(HMwGv_S%-uVBH`dHYL?
zvudQ%$&u6S+#K7=)>9QTj2_J41%i7ygEZ{Wtgz3VPzN`@Tx0WgC4@QIUnv>egy3Wj
zoCfnQ-E*@6LlzFOQm@bmnAQM2V?$t*C>G*mNf&S)fn3AF!*y49@Yo*pP^p$W1pM<!
zusYB7FgB1&^Ut^@RzU#pB{$LJGQv|&37~OkIlNuh7;lUo-Z<;ci2YICJjE$?FT9+i
To=^vm&LQag3R2m3wY>iW%TaJ$

diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld-members.html b/docs/manual/classbayesnet_1_1_k_d_b_ld-members.html
deleted file mode 100644
index 8fe1817..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b_ld-members.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_k_d_b_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::KDBLd Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;KDB&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>KDB</b>(int k, float theta=0.03) (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>KDBLd</b>(int k) (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters_) override (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~KDB</b>()=default (defined in <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~KDBLd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">bayesnet::KDBLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld.html b/docs/manual/classbayesnet_1_1_k_d_b_ld.html
deleted file mode 100644
index 46b2470..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b_ld.html
+++ /dev/null
@@ -1,445 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::KDBLd Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_k_d_b_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
-<a href="classbayesnet_1_1_k_d_b_ld-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::KDBLd Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::KDBLd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_k_d_b_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_ld_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_k_d_b_ld_inherit__map" id="abayesnet_1_1_k_d_b_ld_inherit__map">
-<area shape="rect" title=" " alt="" coords="99,226,223,252"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="34,153,144,178"/>
-<area shape="poly" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
-<area shape="poly" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::KDBLd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_k_d_b_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_k_d_b_ld_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_k_d_b_ld_coll__map" id="abayesnet_1_1_k_d_b_ld_coll__map">
-<area shape="rect" title=" " alt="" coords="222,241,346,267"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="121,168,231,193"/>
-<area shape="poly" title=" " alt="" coords="208,200,267,239,264,243,205,205"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
-<area shape="poly" title=" " alt="" coords="310,208,292,242,288,240,305,206"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a1731eaee88b4cceeac4c0b36f3171696" id="r_a1731eaee88b4cceeac4c0b36f3171696"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1731eaee88b4cceeac4c0b36f3171696">KDBLd</a> (int k)</td></tr>
-<tr class="separator:a1731eaee88b4cceeac4c0b36f3171696"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a333fe633a492ad82dabd54b4ed0000d6" id="r_a333fe633a492ad82dabd54b4ed0000d6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a333fe633a492ad82dabd54b4ed0000d6">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a333fe633a492ad82dabd54b4ed0000d6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3e07572f93160bda7df463ed028a64a9" id="r_a3e07572f93160bda7df463ed028a64a9"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3e07572f93160bda7df463ed028a64a9">graph</a> (const std::string &amp;name=&quot;KDB&quot;) const override</td></tr>
-<tr class="separator:a3e07572f93160bda7df463ed028a64a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6d946c93852ce7ff1c005c0b38c50d8f" id="r_a6d946c93852ce7ff1c005c0b38c50d8f"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6d946c93852ce7ff1c005c0b38c50d8f">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a6d946c93852ce7ff1c005c0b38c50d8f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_k_d_b"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_k_d_b')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td></tr>
-<tr class="memitem:affc7cceae4f7a6f2a4fe0fed00c2e254 inherit pub_methods_classbayesnet_1_1_k_d_b" id="r_affc7cceae4f7a6f2a4fe0fed00c2e254"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_k_d_b.html#affc7cceae4f7a6f2a4fe0fed00c2e254">KDB</a> (int k, float theta=0.03)</td></tr>
-<tr class="separator:affc7cceae4f7a6f2a4fe0fed00c2e254 inherit pub_methods_classbayesnet_1_1_k_d_b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af68389e8ae04fb9b26dea3b8f534f383 inherit pub_methods_classbayesnet_1_1_k_d_b" id="r_af68389e8ae04fb9b26dea3b8f534f383"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_k_d_b.html#af68389e8ae04fb9b26dea3b8f534f383">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters_) override</td></tr>
-<tr class="separator:af68389e8ae04fb9b26dea3b8f534f383 inherit pub_methods_classbayesnet_1_1_k_d_b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
-<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-static-methods" name="pub-static-methods"></a>
-Static Public Member Functions</h2></td></tr>
-<tr class="memitem:a00af03a6fbe2e9e059e01122b367e817" id="r_a00af03a6fbe2e9e059e01122b367e817"><td class="memItemLeft" align="right" valign="top">static std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a00af03a6fbe2e9e059e01122b367e817">version</a> ()</td></tr>
-<tr class="separator:a00af03a6fbe2e9e059e01122b367e817"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_k_d_b"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_k_d_b')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a></td></tr>
-<tr class="memitem:adb293a6da8f05f2c4d8eb746f2b6153a inherit pro_methods_classbayesnet_1_1_k_d_b" id="r_adb293a6da8f05f2c4d8eb746f2b6153a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_k_d_b.html#adb293a6da8f05f2c4d8eb746f2b6153a">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:adb293a6da8f05f2c4d8eb746f2b6153a inherit pro_methods_classbayesnet_1_1_k_d_b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
-<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
-<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
-<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
-<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8h_source.html#l00013">13</a> of file <a class="el" href="_k_d_b_ld_8h_source.html">KDBLd.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a1731eaee88b4cceeac4c0b36f3171696" name="a1731eaee88b4cceeac4c0b36f3171696"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a1731eaee88b4cceeac4c0b36f3171696">&#9670;&#160;</a></span>KDBLd()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::KDBLd::KDBLd </td>
-          <td>(</td>
-          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>k</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a333fe633a492ad82dabd54b4ed0000d6" name="a333fe633a492ad82dabd54b4ed0000d6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a333fe633a492ad82dabd54b4ed0000d6">&#9670;&#160;</a></span>fit()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> &amp; bayesnet::KDBLd::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00011">11</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a3e07572f93160bda7df463ed028a64a9" name="a3e07572f93160bda7df463ed028a64a9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3e07572f93160bda7df463ed028a64a9">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::KDBLd::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;KDB&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_k_d_b.html">bayesnet::KDB</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00031">31</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6d946c93852ce7ff1c005c0b38c50d8f" name="a6d946c93852ce7ff1c005c0b38c50d8f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6d946c93852ce7ff1c005c0b38c50d8f">&#9670;&#160;</a></span>predict()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::KDBLd::predict </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8cc_source.html#l00026">26</a> of file <a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a00af03a6fbe2e9e059e01122b367e817" name="a00af03a6fbe2e9e059e01122b367e817"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a00af03a6fbe2e9e059e01122b367e817">&#9670;&#160;</a></span>version()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">static std::string bayesnet::KDBLd::version </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_k_d_b_ld_8h_source.html#l00021">21</a> of file <a class="el" href="_k_d_b_ld_8h_source.html">KDBLd.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_ld_8h_source.html">KDBLd.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_k_d_b_ld_8cc_source.html">KDBLd.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map
deleted file mode 100644
index 0bc95ec..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::KDBLd" name="bayesnet::KDBLd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="222,241,346,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="121,168,231,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="208,200,267,239,264,243,205,205"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
-<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="310,208,292,242,288,240,305,206"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5
deleted file mode 100644
index 5a460c8..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-c341d14e86ad0c1b8e028db9c194d855
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_k_d_b_ld__coll__graph.png
deleted file mode 100644
index b39b8d94f03dde91e43428f963686c3f284cf077..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16788
zcmdUXWmr~Wv+g1UK|nwdB$Sd=x<N$*2|+?qT2i`8N@);K5R@*FE|G2!kp}4wDd}$T
z%=_(cfBWox_PNgaasC{=#OsCizUx`@%*-=$-}ex#_*4oXmjV|-5PTVF31tL93x<D$
zm$BeGlHY>(;XkYwPoyM}zo@?{wV6=}LW9UiJXCQ_Sf6~QO|o!-z134PA%RIsS`(OR
zkUdWw@$p?ACae6jUweDc*q^tCYu+rq(;=F~UFvYB+7+W?&uFF3npGu)HagfWE+!+A
zjv2RIwQ_C4!^@kQGN{@Iw|U{ztJb47VKmY7e$U#PN35HP3mUB-q4?#0eF@6REJ!4x
zq#Tbi^1jz}S&2wCdlLg4T{$OhJyFCZKt-}T&6%4VFBALf%`@LAp*<t-b-c*)XyxQ(
zqQ^lYG{@vV_^N$nYo}=pk@3jeA(6nOc9P&1zSvg_evpf+bQb7T=Xg-NOgfQ?ii+lV
z+)FbNv7f*EtG|CgJXOSZ3JumWpsmaR|7qNoL@i78zj@)*FFE%;_}V8ShsFG#$`)pE
z0WbT%M4ue?cwdw}x9-98xkAQ1lkrhkTv3tm?EIX|xSb?H*r|QT)!CW<i+p^*+1VMZ
zruXB=Sg03GP2xyHTND$QX*ZSSL<P~SgSE!U+fQ<gYWd_nCl1l{Pxk(3lv!%V9^djl
z<GO$R*~Fuh;qKjh-8z2N*)O3I&!1Ba<!L&weO=CZ@{v6#EG)m*flt0!%cj;JmXV^A
z{@B*p`A6!bKte)7+ev|*e8>5pM0?A97<P7c<ouT8kHe{g^}LQR=~Ov3!c_?3=H}+Q
znqPhgds{2NsE9B)IJlP=A0fPXGu+P)bHc8b`sdG|4SnfSx&OYxnf3DNA0JqrZT*gT
z5EJ)zP+e~}-li@)(n)QoC6sJ?qk2<K^K`%MZtcW}s3_mHwYAmz&a+LI-sL&QYier7
z_$tZ7eWAU3w`;}Tq~r#Chtzs^t|gS2l{H7Dtf+{yGx@=-!uktge(Q;#_w-V9@cqu+
zy#3mm``R2!(-#K<sE4U`UT=D)aL?Z~$qlQxxOjOmmn`YkhETkl4MXexO^g07_|BVC
z_@<_&h?uM_F5}aLpz6&!%B%PGdY!IhlnxUixVX5Aii-L?ujJLI56-JMs;)#aDFn0`
zu^v{In<utN&kbZhQ|tL~1s6AG?ds=~<ros2s5ZZ?En8Q2_cYjkav^($ot+&7;o{<2
zo~Y#U@bH-V^XH||yRe)0D2RxNGRDjXb4V`^>;Ix52b<Fo;D~8Xt3zf(c{dh2V-4NX
zyW$0|QVTo!L_}O2`}WfJ=*SgOfBJWFVq&XXWHUuF^g8NNEPM*TgaoR1D|i~}rS8P$
zt=Z=7M(kS%a{caeKiWqD8ap~7p7$Q76O~VURU3~zpSId>RO_af3a4RbCvaHm_HR@?
z$<V5HzWYTX*=tf;Ag+1L(EDr~JC66|o0=NYqtnyhN87)Hf`S_A|DM};?Da`i{Jl8s
zSnr7CG3`xxh>@pTOJOzkExYWAQ~7hx$-}?LJ>GL?$GiL-chwvdU%!6sx)807ARjsO
z0&;WNOnQ>6US{f4J0F1)Ac$7EwSQ(N6S#lxXPIlFyPZ6o@m<CTnSOqL%9>yWUv`};
z8a}>KI*!~TV|Y4R*vY&sumrlktE(UnH#hmMTM8T;9Nn=zfefQ1rV0gm^+|DGxcK;@
z3knM4<mBc9@F|x!HoDW&=pv2e<nX|HpOTY%CMLAY%m+g_>d&}2bgI5T%Y0h=D3CzA
z&O<2T)`M;cLT)y;P)SKi?IL}&)5A@LNKvmdK{QSV20w@eIcez>SoDLFW%_ulNTZIJ
zyEmw*t^TMxI`Wcn=z2`POz)FMs06I3OnZ{LG)qkEj<#m^_V(r>mhN<DtXAjWA8D_A
z+0RIUht<Jf!g%|(Kk_Ly)~#8H^=qPogM&=u{rmUN_WBiMB6HR9U(|b@x3533`+<gm
z#VITtcYJ(IIyU{n&`>j4uZfJ3vIDkImH7$e1({z{Q%PW-i3&S<9c^vboq3tac|V+M
z<Tr2XZdiD)3zM;H|9t3+^`4>rc#)Fda^#(tmls1@viC)-d>n6TpP3QFL1JR!aSNH=
zJBDY^o{gqH!misN(t`asKRqllXbxa#TT1p$a+$Ehex|I<x>t2w#N&w5(9lpoZLm(w
zV$$rrw5;sc&UikH>!*8v9+ixCrb|UA_wy!+xP-&PET?LOhV!*r&(1umDl0XeKLiC`
zewrZoo}tot{W-tI(A(J9*v^g)LtWjQD9eGlc1DT~9UUF#(<DP(7dvm5$NhNo20hZd
zPASCYc_bCr3rszaZOM2m-Rl0B%nE7Ii=*Ejv;Jg9XS+SS!Awahfq~eWPZMP$`A@BL
zua?;tXqAWKQ}TcAGy4`>X!O3KkBW4(dw~>3%af&>oQzC8)k-&y@p|ydx6LT;>o}2A
zkP2_PFVjY5gi06>xgBj82nz{uJ$R7pu-G}f_ox5Q{QP%_Ja)~mezdf-3~i9v`a3#u
zRbs#o9kyl~!E6v^MPRlBE<-FG9UV7tXxziXPb9%?)@=)4hVr%2!RcaN>gnly&dhAq
z=bS0&x$pb&BN>E4kx?7*$ml2<Lcwe10~y<(|BF0ltlY>~<10TRZe2yd(BfdHDyP+e
z?nIGvZ~~1I6Z{X#%Ol0~_s_N-S&kH;K~%mjEaWJ&8dqagXyY(-aCUyIr1ZXv-$q43
z0#o<ZI$zDj$?DNo^Hri-w<27oJ;}1Ov;S$UlcS@VorR90*}$*U+GnSm^@bN`$HoPo
z(`MlzmP<P-M)5AIL;1>9L%jP=(;Np7%yZ*5^`+XZY-+Ji&VPPgN=iyP+HSp7Y%$C(
zy7QBMd8$@q?)UFv!&U-JY;24Qd$PpjWW8+T+L{{MgEh?#$F}o7aKDi{PmvGGs>0H`
z!<y&UN7@CwFGSxyrl+E!LXZdNd)LOwZ6d%I4Z9PBq@|^O;OUTt@$vDm6Of{ah>71w
z-SQ;q?(UAUN!s7q@~N&CiHwT6D>8VzyJYw0*X@LRudZWY6MX-~W%w>BDSV;h<L@@6
zWC?x!l#I#9;nmQqab;sQsv*-UGBPrPE*lAhb>l0(`3W~~-n4acY5_ZPn)RkAuj+m^
z!hyq~y#~js7OTwO$k;f#I+5+`y&U)W)%?26Q>*c^mimi*4!J~O(({vj-|Fg9{Cplk
zL2@_<1R-Ef4%S0YH>$6SIIlHqOjZ}053(X+yNg}LuMRhqJ4kIdSM3}fzr#<q`=oBo
z#+oKIVq6vVS?r3Rc1&K4*W$O;5%qD}nt2HEbi?q++s5o?nZ4g$K07)(LXa}c(Knwz
zGjw#XZf-`v*?_7Q$OWtujIq6EUSq$DjSYq)<~0MDg@}sk?f&X8Jr@^Ia{zubcyC{t
z<Q3Q)ty+sO3|dy`KEA%b#_z5o2Wz9g5f3g#R(KI`Q+hr=QgD-zGAqi*5jVqP?rObg
z@Im{h*Hl$h=+8F!yKdGV7P;-3kcT}cAtg1~Ul|N~`}X^{m;LQ~r;i;bmYoYa`3tYC
ztk&uMf+C@}%u37S<WHtRP4~=<{vE9{yxLcX0qN=V0eCmwsOGArLUxXMP<PW~>){zh
z_R(A@2clj1$Q=BSoX4co$zgPSJY6P=@e{W(u66Y~Kk5`&ux3+26X0gF8@DRw5)}Ld
z-pEUihsw#JAt7eG6n{21d*FQR?dS+KYz<%dEE6@7qsrDn^Q$wK2gj%W{6H()8B&!L
z85vob#c((Q0YL(%0s56IS6*_*3hFl?!otE|T{fro4h|MWNZF(>+;qy0gzw6PQ;WpF
zl8QzdW$vG@l{h*(FOHR3$mmuMxh*BSJRf5b(h+4;+R=l}zCl9r9d50eWSGARN$TrZ
z;Ep}yH@DrzzR}Ux@bGX)d;2s<U;<WSMw)f=pT37JX8m+#w~=d7(<`9XF3gJKXH=R#
z@cg>>Nun5vSxEj<+>A=2PKyf*eQj;Qg|!D1GG9|td>|Y=-~^V<H--KER$iW2UM>Kq
zprG51QAdh%+j+LDT$+ZsIQsh9S_Sxqz25K(Zbk!1<4_4178aIaPv3J0;|u~U*z^J3
zFosIUKgw8`nA+vFbJe_0lke-8*L`_;wm+=rHq(IiM1<5hUp_L%cO~B_e{%r}ji-^F
zJv~c}zSwS1ALCm2QnuOgj8}4dX1|S7VUUgVtUnootltJZ&P`AMTTSAdY=|GJz%vF`
zdLEvrY45-HM4VQ>_dNJp(>~0!5)k*Cf%VbB`Pjpd@1#|pje7R>++Ut1hGZstQCxj+
zR;0`2m*xC*Gjwb|W@6Hj-ow+g!-G{h=tS(mQz`zZy8jhgzasd2XfAR;OG71J)V}iR
zI~0&PJb{FKkKy$DN7Ya3sJ7GWwXYdVXTVARG-`suhWPxmc~^X?+6}U3@da<cl$)H;
zZsZmn%R8;lDBAw&?n=F}yROZbKBZ|+8EIV4oS#&AY;#0hu5HGfiS{Xv<oXC-v$y)5
z+Rozj=(3vO`wt}fC{?-`sh5QmH$~H&Bk7bd<WJt<cM%BUH&El6l59VBCP?EC$jUkH
zGgr#YTZ?t&_z?HVo)cmAJ<$JNcR%_RSC6&;-uB2}(&4(#B^m^yljbYhojbi-7ghSI
z<pqI3@sAbr*X(8tGLE=k>mu?gjRYYNq}Db^bsn~5Jh6N9S$aUxJJdM6N&GWnrY)*~
z#>h<0r=MZcw0cW4EAMY_aTeL)n}C>mhY!q<3(2DRH{2LS7|12XXH-H$#fO;-y!5Cx
z$h@eRyzT{!?p&z=IWze~GZl@e`r9k1Ijq?BlK9_JJBV5>TbsCe%^XOhKR#B>RxbZ$
zfjmtZoi5qc&T98;ttPxJ{XVOa(X;DE+zl2?3Qe~VB^G96l@EV6{mp>QV61{lJzpKR
z4ldQ(Swxpc^@`KNJ?#TexeS(;R{Dd(lh0$1LWCvn%c=Y3SLhjIxKiQ{ZCKmW7%0qf
zWo$js;2l;NX^$C<RZ_Y7#$2+{lY?X|UKy<hhgHF8;r!Jk`oor}uv!JnoP(6K?)P*`
z&9QuU&<xm@UJ@uO(uC9y+txjQ6KtN5l9lB}KO+4SYkX7d5_y&`{wTTflo!23C794Q
z*H=~8=g=}i9>Fz1;_dCZ>^8J3FSOMq*EUNvANngQJu5nS_=H$a-YVgI+8m#0<qivR
zsn6(J$&^9gH=1Z#V?uM=VYIRr_IbbQ4i3lga$2Q(+u0vpI&;`4K%P07UUP~f34T7~
zi>*rWI$G>c36Acu#V<?KCQ1j44^$*8!B{5MW@6{=3rYUJqTe(eGy3D-A7F~j3Wc>1
ztGNDNNt9Fnf>VNiA7iVujX*C@vZOG4TY^t>%0jOh{Z;>x;vO>SNO-pU>sl9bL2Cc`
z$@>CY$wWHIv>1(hDv3irSEJwH_}plSaehiZso0#3IfwRLIyGy2=;)@Sl8PSsvTO@&
z6v5t^0R9<Uc0rO#j+|6^f~xxxiBl-7`uo(|VLtJPv;7D7oX*xh+;{QS{40fANxoYn
zdh%~mlc$7Q^2>i5raXC_c>Dy>!NaopIsbj?0Y(FS{p&w>?eoL*xi`Vp=(vvItSjVT
zx1S;UPU2|S#)V$UwQ&W7(dIBSk)<OZ7BnxK%8Qf3xmxa;un>m0+`t=qx8><c@X^EL
z*M;t?e(w)KO6r(D(Mkh4JHe~MMtfMoRh0%9K8>=EW^(jPr8ec}7Hh{%ZJuC9owxFu
zDab!v^HhPb^a7t~)xJxTj8y3LZ_TXe@8?g&`Vp3XBncMIGD=na{wVj&0DCPD4y`#8
z3$fF{XHUmo_L*zMSEW-4#V43=R1~DE?Wz4(vwX|AB}7_>7iQw~kM~Ew`z;NFxR(}Z
z3X%KI8a~c))u?aEHB}u}QJYt}+gf7OI$TzYgsZGkSIy7hNLtcv`;&yky&Tl5b18S>
z^fGL>u2I>%BmRLwGVSIFd0OXa<<SFXOU7-<5odxvk*K5oSCa&M#;MQnd={M#7Kit{
z=_O>88CHVBXxkH_!f+Hv@cerorMo3h#eR=QpPkV^3-Jl8O}tJR*UKccDF>hHA~494
zF3{WEg`XSU#Edkn<E!eeCT7=#tQ6P#%WP93VbN{(Y36z-y_XYZf-Gd-X9YgCNzpMB
zkRWpHOyM+NP~6X$id~7%z4QVbDPOrm2;DeE?g!Sr!^3IIbs;_Pb0@=BuTIqy6B2Zn
zr|Z4FoaTx7K5AR%1o8(kJ2(@FKg=5rk~iS;(AbpQ57V?m_X#*~UVJ#{fyMRi+xes}
zmT&5N<&{`KN-|e)Z=18T5bqECAT+i<q!&l?z+)j9WcTpyX~D{Ds!PT3R2X;HwY1DT
zKb-d7)E2F^8t2da^ojhVMY5Fg`bhEbvdEshFQ@A~@vZXGab$$92dzeS$nR5UHyLi-
ze62{F4!LN_T`FhOd2M9Y%GA^avw;fXL92M@p~Yg1wRH!P${0AkxVZ4f_5nERz8NRE
z8b&X|d#Pv*n&2LPKfg~d8xukk`kZ$#dhx{Qd>j!eK&nJ}*x3s*zr3_SCJ0g#S@yf{
z9Zu}-Kq;>^K02E5&XR(V@SW<pme>Hp&hR78OcHhcmT5$S)jw>ukE+0h0S&Q5?+u$z
zl+9*}RxUvt9c*p4&<Q1W{)~)_EJ9srX2?m-ABjgT>T3H0>`Z{%JlNX$v;!s(p~MS_
zkf}4~rO;x|n8M!TM85y{!T*bQ{R#5dVjxS&0WPnW2@i!oz4@(ak0a@5kqmMnl4mJJ
zAq@dV<oDCy?#vmwIF~Q~gkw+-LD~+n@W^ewpyScQ;H1C{5LsJaZ$$*j2nn}tBY0GT
zTX;SZXm6RBnJdV|)WpOZ-at3;V0?Po8{g*<qR&YlfMLsUoD9fR7NAu+6;%_`)K#qJ
zoGiq1xEbWfND^Za@pmR==DnqvnRi%-tj_Uk7Ww}0XxC2+>xk?7v+X!Z1$48F4^_7s
zT!uvteh>QFVE0P1?3YAE^(!$kWu_xZG;OTQAz3YJ`vf%Rgc;<L7x(U9VHVRmirfmt
zRo2=ISJkTZK2)$;TkDJ`;S_q|UHB+k=RO<Tlag)QZPyn8%I3X%5l-0eEIG;TWv1M^
z4DTV|Su?t$YL+)Qr*&B*5fqjoD#!RN_Mx3peOs&_^Ll$mW_F0i7ZUyen<b4}`oYI+
zo>$9COL#WXdnKO973S=l#g&nYl>-iP4-bJdr&h!VJ6d@)T3HXNVB_a^CXpefq!b|+
z>&XrEx|H$<prIe{RkpXc*X0@e`6CT;SaY)yKT8LF{V<m!Ci=+VC3{OrgZI|3h_V&&
zps9_>So{mLPg$;;kV;K+&2`Yw&`zbh(Tm)M3v^nc0KTBPk^gcm?$t)6DM#C=Y_>w(
z`N6nKh6+Pl1X{!N^xvx)DxZ|iM*%Q;)o#R1&2;P#dj0NHUQQm=Dq8yfPM>i@8@&-x
zdH=tm6gfkGsI$L>u9TD~wpo&0N%?7JTIV7wKK*S)!^YCm@>+%pQ&igr$7#<)9p+;V
zZEfu<k#~C%MGl`xO9xfX8$wIO4#lnuy7ZOHm!-4A;TG@dXf3OEghITp9aYmY=HV(^
z?1!s7ySrIhSerJ6LlY5l2q`)-)rFDPI!4=?xQwMm_4SG-^PSI4*t6q8x|`B`ecHW9
zPQGGiG&-$c*2kvw<H91dxTdsY_1cmF3AR^^2d^?WBf9pw0b;Jg30*vcpNgj+`%P)0
zuwF3(t}{~&UPwM?4{A%GO3ZpKo-V|3CvLHKJt4*AI=qQbQG-_xKlICWiY})8ZaP20
zG%Vcd?n;BcfhNPF4^x^skBl}klcVol%lwo0C}@SQydfn1E30(Zr7iSem*%ov8~3Gb
z*^XE1tCmA}#fbRShO3-csr<kdWrpwap?E4bh$|ZIrk|8U$dp@-IDFJC$x@7lTgL=H
z8nRnONLL`^uFxb`TrZc?;59|pK=jRxQrx9BMayMT*Or)!;LI4k_T@5Li8#04>t>K}
z0*hK_!|GE>rc#=ClpYN#*X~Z_Ez}-3si}xOj5ZqHvR52&!Eo3|T?_$lU0Fnaf$?2j
zQcjEX^VE<?Pgs>Z77_N0fT4l!42x9N{2$a37!8T%VnV5MuCwW5k;eE*?%se;<;-m2
z!Mqr6FuKKX3BYpe;@)+Sjg=+l`4}ZIoUwn))@YF#x21?)uSh7Ncn}3MZ(M&tl2Yf;
zzg{Zno*Ny6x|<S-Usl5Kw_2JnGBY<AKaQNzlzl#A_;+&CNn}7}lS+I*!rmn+i~s#Y
z^Gan`V%*)PbRn<-Qk2(vF@@El@v1eALbbv#iv_~Oywp7F`9po~*RVw%nmu<=rhkdN
zAlXXywJ6ZWx;7^~-|Q$(X3&R+U6g>kn--9xp8M(?<tTK6>auo)wOZXls7fS9#Fw!2
zH3?2?eD6BmGh8<0P6(b#kNU8?`hnb<<ctOKifY3CvFvNYCSew0adiVOyi3KzgDT8w
zjt_coVOfb}&0VqAk!mlm#5IV2D|1;#l0a2SF$m$LzY}Mpa*Vs)>4~gaD$nzZ<N6UU
zMDYYae*utZ4@<^HnoD?&{m8%+n~a6qtCaIP8*2QxO4eaXo)2F!a_y<zaW7vc&v(I6
zav52r7E^hvyu$JH>C^OyiHW^%<=g1*A{qs8{7vZhx|Ov^uV1HQlJZ&+pLh=SJCT5Z
zfa9NElAGjd0m1;acpWd0)fxr~KmPH5;5+`sgsh}oV|uC&z?OS!Zwt^1Tfd%g&@wY$
zh654Rk3UTmHg*#g5upV5>Jh+=(RmN(=`m0*3}&ORIwXs_5d)gm_#=$6*tF;79nG(w
zWrx@#RH5|3&dA6x=!)ZWZ>@L<M8reLCH~3Y|L=$j@gR40NVLCan*%k8AhQBM%OGQ7
zYRbdLwp!KG@$+ZOmzSjGC7(Mx<>I;)xp%uvczTlVSvUzrwSDjG?8Ge}{c8N=v6Pg$
z;4mEB&4BVnzgz->VfG#EBk4%!oG}#{152$8aupW#KQefFcvN_uyT|twm)(=$1`H8k
zT>g(7&QKZr`0-<Cw2+cWd_-}St}joMC&1so7+_izS-bB+M4eq-w`Jfq{jIHmU=2e^
z#7Ao-J&_DjVH7REH9Qe{oc{i<R@ppY*3yx{%&h&&xB?*VD8T7;d%vE<V65gA*0mq3
zkN0<Vh2?9NF9NP46WJPZD-+OoIB(nGjlc9cZD$%@cXoG|jV?~QOv`7GKw(zlzHc5m
z-{gPA4d9&TJJAXE0lPx8{d;k4TqXsbce&O0<FA(Qi^}d=?zasY0%ite6&C>5Zaw!7
zd%L^C0fG0}?GmUo>7tkdbTNiMZ~q<u^Wd6qLqgI3oGZ7P)=eGOfsTA%!#ETZ2?z}2
zp{Msn?Z(c|T!N5;bmYBP2lFTUt9P*()Ya7)85!*Xt8#R4F;!9`lHq1#46wGg27tlT
z+L~Rf)V$@Ro>we9(;OgTBLH5r>(wQ|lbV9R#YRWB00+RXQRD;oA(LB%G@>speR+3h
z=hM4)VhRchUO;T{k27>6$w){^Ic(3h3@1)~dwC5X%lCFQ-|%%Di}AFY`_aSGb8psu
z|87=zaQ=az5`epd)!_&RtAkp>-#%y<<kZx6O^L;Wb|$6&H%NHL!wf)pw9BojcXxOH
zEH0V|aY{)@*a9}f&{k?O{1w;&a4sW2c41|LuMR8;sD(eYhEt~l97cBc`F9@EZpD7y
z>m(!}gw2vf-F`(HgO7M@w~$$t$*67E_X8e0Qe^OmBJ6Q|51S@~rPUQJ&m3v*4mRSl
z6Ws(Zs5!+wIT$6yRW70Wljr5uVQ>SDFP@&B?~{@Ud>egw?w{i6>gsOo?luGEsBdbD
zjR59}_Bf2fUp}6{(TLjs=nnD+UZMyM3kwdAA<IMgl)^3>Z=rNG1P4`=O$Ag7g((*s
zG-CnehgDZs2VkLAwkW`;F@HrwMAEaeewxHbFZ}-P+wqa(ci=5A=G~Fa`oH0T()!-<
zJo{D(4wX%Jepf;AWC}dC-5QJ5TIl%ti0}$j)SMJywzjqif+9%Frt9vZm@{BqX=rKD
z;7$l)V`I}{|GPCp3U>FV=bn<Fh=?JSrbq$R{N&{1`-B8bp?8T7yl;Y=Gyzc0WjiDG
z_685upFe*zfc;7G*pb1+!g@Z&M}Bek>hqDlRc=@N3Xpf&Iy%MBIN(w6W(^oViMjI-
z{>081T4;@|JX2Fst31EklfPC?s4COVu)-YGW>m@acc#&Iq{fZs$J-mefMBKqBe=D_
zjfPl`e!T>-5`$4*U;hAw?*Hk}Gz88j#`hEj^FqGK(<&!mfR(-lI5bbM{w72<ik4;9
ztqB6ml15N)#QsXw-Lf%E1RFb0xjv!@Qm4n+cI$AWvz=Wd1nl<It4#yI7{OM+nKrEq
z<`Uhw5sYG_HS6<HDM?^#x_wXQGA(PyS3~0RNoPucdcguRzKsobzkd{GWd%W2ffR1p
zmv#vddO_!y`Av;~*8;3*JdNWG&VOF|0uVD9d&vEm4bxty`6|_b$fk#eUKua7kiy2s
ze)@^?wZFeVZ>$^@r#?bWO+8xeV&neml|xGiX+}XGnO+G~8}I@4U?2#*Hq&I!7{DsE
zfr*r{2h6!<w_D`yy0%FEONyngcqt%i0d)NZ$R^5<s!M+UG9)f5Yk^45J3u)L3K*Tv
zpZubA^F|b5+Ra?K_slH7tib`w#`728Yi1`xS$X-=iSDZZ05C;9{1*W8wXF9+)AM+S
zyV$$!KmRA((zqCv<o=kPXhr7NsRPkVyHZSfmpJ-8K$qaTNr}QvbHI%0W~>sICz0SN
zks8T~YcMb|8LkXuy8^Vm4e_u_Ed>S5&q?{Frr}{S92^|?R;V^<>=~ghYGQ?Y;WBL=
z)Ly6;H=?p60g6O%C$)wH<d}-b99x9qDgl71h_me5$oKQFB&IV4^PFN4eETc(L#*8@
z8Qy)t>%xw2&?iT58iKLcO(&rP1zMV#@HrVCW-kH7kL5(kpenf#zpQ8yu7eft)~>J&
zZGO_U5b5`XrQHBt&}<7LK4x*xeQ1THh|{`ZDdyC=4T^|0f?&K=QNI#EI2RLz`X+J2
zqefR_bb`31<vz;gJcm29D-0}fr`Wwql;#bW5rURolG%X@uA2i~F@#QFETvqt19F0f
z?0L~kW(+@8No0bA<zXGFm)~Ni=<xL16x;IC;O}FKCUp7;7h8z#-;QtcIVIJ1Nesjf
zKo?bBPxZ_C4Q1T(=4GG0-U2Ne<Py10y_y39?TRSec!<V|1g$9?*SEPo)s*istR1yX
z|K7q83Ndfy_|v>Eu|&!`v3^-sQJ?XUDB@xCZr2R1Gp=h|9374l2g(2#M3{6}nYSZ)
zv)<{wIEkdIX)Z6$FVOTS6kmqQA1~~Swk~lRF0^+4fgS%RAo>5F7k{8YOa!39SxJ_9
zNJL7tQd*r?{61B*%qFwy!k~|jPi1*kA4*rloN>Q$a6M!!V&3o&@<~AC?%F;seNF_>
z2MGxYd*QUKvp~9iNlQy()oImnnN-bK4;@>86S#821K=1G`3Bt{>N;8$mNxCd)vc|q
ztQFOu=ii^df5(Lbj;<#29?WSF4dL`(U$jA(paeCjoP3>KJIm#RIiKf=qlAP+3Q(Of
zZrB7=4RCM-5z#+}hV>Rl-4Puq1&rKkfO`Wx>A}h2rcG?-OA08+DwVASEQauWvGAK9
zBj?uKQq8E_AlqH)k$U_%z<8{y3!nb+Td|0n_Z;O^xkg7vQF4W?lhwlJ(b3~CW05>K
z2Jd5H0{AS3mZ^V#aRO!&m~2w73t&6LAgybDxk@GIgJSdGt>nCBgoys}&Vr!(9y6dI
zsUO6(wW&}v7NjZheqKa9<okcC!tpWgh?yLFs+N9IrRTBLh%M;2ObG8cu(62%&B=?O
z?`S{qzEmdtQo{#=lC2>vo7AGBtuN!SI6EC7At9PzD4;*OtwHLyb#Vz)jy`ShQd7GQ
z^}jynhl_EEe%=H)@t{hq*+2<uDl03^etnklAFFZQrnBDjHEX%_0u(c@f6ot}?AvvI
z;`+pC@WxmePE=qoo1w1R8ZnH}TnzO0j}~@tg*u6dl+>Ro*<&Ywdyrw@s-FD5hhUQ1
z;*E|y;KH_`I(-4<ldXe8Nhb$0GlKA%^&+U_4DagIh}8>HJrxzdH*el3cVHA%YP*fk
zJudf@{0W#zixD@is3;XMb!KDVSWp@yP@f=TpxJ=(0`JzXTOg}>&Yu7F|3*B65sCOf
zodpU40yuLY#`9Yd-nw;lru{YnG(4z-#jG#Qf8neA)2HEG{M9a-;owvTpwc*+@x6*5
zP-8bi6@TZrAdy{7o95zVxc&uH`wMlmK&JXa{rnqnwDM!o^u8eQg2_b(^Qw~?y$=KR
z-rk@fxdGaRmjA4cX$1VH$Z1s#o}j6x=PIZz8hLs|F-k_?f`E$%4v(e>7u#3AS&d)c
z*w_G06K`jC7p-B%zO2kY--<)Re{G_&<cX!_9jFO4P`wIf162MdMn;_X?<YaAmcV05
zAoCS&t6lGPk5Asv+?*BE2C<(${RFi`@8o162w51~0P+OY1xmjF`)>)#BanC*>sC1i
z1N-<Qkbt_v<JkV@1Fr-q^NhiH04A!?Z$yXkDw)CU?8pxNzb%*BfdAzd79RUmxV&rz
z1<J_Ex7yl!dLS*Rs;=&bTf@DK%j8Q;x}cj_;oi+uNbXk4fBv2!>@hu>EmS=~$@80b
z#kD{i*5BVB1?$M^wNP9`6@?&NOVpA)m6S%cekB9L=S}0|@f@{##0m+5jnH*&fuzg;
z^mMQGmLEpS$;i+m1mv7PeSLkRc5|5josK2ON)U8+*RNlHeluRc<|as3^4LwGf*U(%
z8Rh2TVLKCU{qe&dr7}`2?g^$?c^oRCtQ=`Pm8V%UlBsYjuFK@+J@*fBU$!SI9o~k8
z8AF9tX+0^txU>YlRo4#I+n}Hs$XPOx7Q+R`@W>$QX#*byLe>uI87g5%<_KyL=;fr?
zpMMK7?M_Jj^70NdGtKc*<IH?pRLmX7Lo=Zqb!H{<U)LH_L=O%Qpa+EN2r9;m+plDX
zLL^jFNXE;op6v9{Z6E!P*!3sVo!RYq(8HAE`Ua{ZP!yW`@4n+Jksc`jhp|vBvYlNj
zlw=SA?a)&K+V*}vS(1*OJ)EJ^b^C?8n_INGA!>1=u0_U_UotbbZfboqBRV};w{Q^B
z8gCjZtB;lxXBP-o{=e!KX4;)b{-20dHp%S&B~}@D!cpr7&;rQ(aC6lQe?YEd`!<1U
z818$Xe260>B6>Zn`wAZ=2t+AgzPGmih8|YZ+<XOpsb9-;k^>HqAlQfbg@svA5e9{Z
zK7vmE$-PVvpCLYwUm+$72S9bC3k}yDBn2v9v#FZOg<=qV(9zR3FaBE`db71Plrk^;
zpIeXuk7~=}?cc5R3=EhN_fMD;5)<!Yl%qr>E-uhFe_iNuzc_Q#u5!ddWr~K^7+fZu
z<e;oDgoDF%r;Uk-oZReX`FsO?p>AQ>;9?jBRL=+vU@8jt_DLA!<NUnNPf`InR{O|u
z=gxQUzo&X~vD_^t<1N_VK=}bJ*J1$AN;aHv(S0>;4r^1j)dMwi>zD|HBGk0yc(R+L
zCD<r2VAq1BRVYv~gNtSLs`Ehmyx@*S>5h;F;OmP)zkzCuAUlXd|2+HqHwJ=IA4Nt+
z-my{i_Vz}l_5MtS)(X4dcWmacZ@MBt<ZF~$CoXJ+{qGwWk?emqF4!GnjJ6A1D2<R-
zV%-pI%<Sy!YcSi#_9#%P3=F7z{``3csDjp%hrYd_Oc6cb>(7XRPF)J}oAR?~sCEo>
z7{IaijU;VM`XF@Y9^~(%<E3QihXF^o7Z?PI70S4X`iA0js3d&YOjAJaCKNzGZH{v9
zv>M2+mDWabb7kY!hPJkx_wL<$$w@9~Jt26Vl(f%`_t*4v^4;g(Qb3ahO?U^0Oo~B}
zg32{Apg@X3jv)U>o4ZU_IYFEm0LQgFGt+=`jj^bx=pAEJFa{Q03N-E@>yd}Hv_PZy
z&3y83QfOg)<U9!5gbaV+fqrlvL|;#!yMZ%e$lmi1q@8!1YRl&#k9x*h3_iFxqF-NM
z7xKRFh*bZ<fM{GetqcT%)0&u@=NQM%aRo>IjT5lxPD!D;DdL<bUih#WB@DTBcm?hV
z(zNd@&XrS6e?ctT2kJo3h&Vbp{Dy4vl9%EJNGCzxf_3RqvFGUlN~;2D-KWsI{xkBY
z%WabJv_p4P%cQkWu>@T<v}2D!7%G)b%>gJ*+?V$ZDEJ5}#?>-)52ki#W1n;l^M=)5
zoUlPnr2jHAEw5B25}bmUA}rdxkTF|EGL2!Bqy6K*^d8OJ9B_h#Q3^21FfuWrB)+82
z!|!;bGIF#*zVy#eeiiH%!`;w<%F35pPf~yq_z09H+Xv$|zq<scp_*Z5XJ4MIc8NWf
z%~sY6RJt)VhG{!_RU<f_=~VI<6s*dNCIOLoVGf#F1vOT7wN?<s@S!i;+S)z|JFzBt
zoxBu1+iG@iCF1j2BlEU*aw^pnH0KtIA{6NQSChu~7Jjs|zuz*f=bi8JmXZ!2p8x38
z{@J*31-s9{`UelPpV@)@+j+HKZ<b=IC%F(RUSY8iiF<(Y;MCF&xKiM8rkpA4tEIDg
z+g$8)aH!UXP^2T_W<HdsVed~ihW?8C6P7BP@h-9G(~#DwidjD5@zSQqv%WB`_1j?l
z(c2>?dgDeG<4R%%KeT9=K9$Aa6xbya&@b$r)QEg)RgNBqJYFZIXr__0WZbe=NjV9e
zax<rgRce!-kZQ5v2a@!CXt#eBh@;MaPL6iQESY|AIdqmD;rFps#Ek-;mu;_Gg%T?B
zG{0UmEan+Xjr!ff3bRi*RBB?puWfjlzIzj<;O1~-7u~iLVe0oeL=z*DB|<}S;faQW
zvi4W<2yaVV%F!S!^ih*44#obkPBL?4<`(YJFGZj69F{a@DIhH#&YtJCJVf&`37p>V
zR@H*L%~7m-eYdEv=Qp^sl#Q!SAkHCmDSJBSer!>&3V`+)-_bu*$cocFSn*02<kHLs
z2rI~<GclJ}isy%qU?zzif08+-EhiK9@ZXSUN>(T?S_4lF`DC{)>FA5bl=9(>xCbBX
z_1&rF@4I%trt~5^GbLPHEYV^viP&6@*ovWLd`HW*kbN3)CFcZHdOL{-Z6|+dO!9*8
zR9-!l%VgDJB}q~8#SzncXO9u|l+m*hpvNO+jK^X+hpr}=G#}Az-oWLS8bFxvn`uN4
z|GtLHNpvKCqln~tNRgRDpj8H*wt5LpvE>WrhNlRc>}-{uVH$!hNtL^3<`e>NZJ!-M
zqL759=yAP9wg=Y_hE*R8%4HbPkc>4F)cZ*~3{6yiI8@>LR1|%89e11h^;FR|DI+GH
zioI!n*E{OxLH0FdDLb7eZ!r}`4~p~$6{9aBxo-w<mRxgZeL>{oopkU>d)fJ9`FdFr
zCwVV<!!6vRM?x;Cu|OkE;8n)3N?ZbN=C4?%Wmf9a{(UQIimqyWF%psuhHdkw1lK_+
zHdu91D|ZFK`w>m&wQii*`BQ8`cfE0i5L`>8$uHmXxY3ujYwUN_L0@CS>m{TU<6YJo
zVcCk;zQz9SykwxzbkIT{A~_Ppibq`bSu2?q70;it3*ac>l;L6`dCU24-@jhLXWpaJ
zSKv7av{{;vIbBxNxv`r4o~BN@AsvZC%rGxkp6`D_xhAdzfokBmNa_QhN|jH>-C|AO
z%?<`c)OAR%HwTh#k#+feRKJwnB_vdF4L226T1j@pvP#pwQYMJ?`t`1GSp(AG3*;g(
z%J-u{0Q2#s1TFmyZHlLdkLY}^y?<@4($)&@WB5#fSBofXo=wOawXZpi6P3K5&o0d}
zOkvvo67ws-Q^s*$%2^jT6nsi_%bdbP9Xt1A_t~pKX#leanfEBC2<X*V{a+z9ql(RJ
zJJloti!1Wz^+?c1y~JE$Zbn)OzK|+~+me^&?q_gbYM5rHv=zJ)aJZb9%g=30gD3WC
z?02%eX?6#k%9j)UtQM?_nq`qk(s|qzTN6@`25;9o3}Rh-G1^c-*h*4ttokl4$0eys
zuA9NHS7zRKMFsdk<U4r=XS-5!>K6G_u1mpKgQ8D8hMD=Vt+*-86=BG5X;_~~y3|Z&
z?jg-Gc@jhyM10x{D~Y*`xaV&R+Hsf=l;?B&Nz5#WLP=bFNMEm58l_O6fwqcMS!h<#
z6>oD`L_KWY?*>AJoM~+`@4rrvxvbRe=lw{bE6C+T6Em|V=C+YhN>!FiL7e_CGD~Y`
zu}EcCt3kz5u}#r`UY%E^kO&-ndMYR0cLWJ+esL5uRcVgig~oyYlMOQlvRvIe)a{Eh
z>x}xvMeaa~N-63qxa_U9UDVzy^6_TU(Hko&YP+`-7eqHcPxXr^c+x_89?;)>@R=Kg
z8%C0%m*+T4u&D?lX0vua=Dnh#-ewJU5USM3aEUpQ0E1=SM(NKOuU%*Lzl^SB&@i8c
zJ#eGeK{YTazvfX%GZB&seo0@uJHP};oy6VZIj?AH($9>PK{S_+Sn&g!4FzR3wFh52
zA2In%+uLvH0mUrvk1KiqT;b;xnK4FqQV8=qKh>~mWWe^a`q^Z1kP?W^_Wev<c?KUV
z0MkTSE#l=4Dat{ZGub321?~u2D#?Dg6B~&8M1mIIzh2fFK2f9mxxh$kUYtcknjGc3
zfyBIb<>18{XY%Yia9^rYh4<6=h#@^sUiSu~wn56zdPy&ZFvDjE(X}qeegZQBaZ{Dn
zk6rOx&>C`5&5P<}Rya^j5FUi9{J`w#GTMwMVw1EHs6(XX76@0WfSiC~_9{=(u*efn
zMwCe(66qCJf1#CSab)~QO0dCGG66f0XE(igcX<X}jw011;RNM_S-xubQ@p-f5Ii6*
zME|t35>O$-wU*~n5P}=}!w}hE<W%3hv!94sW~=;2yR|cx#KTlJpGv;-ycc^|W0h62
zMd-wI7=zb<CEtVq2om1##UAWgr<mcW*ik>uwYDB1D+{~l7;YS$ODRq|W0g6p3Pe5X
zX>@~wOvvzqFng~x)H~R3?ff8A{p?ckLft!N&jmeM>QYW7NTE<4>27SCBK*tx>Is{F
zCYtDE1=oSUSId<95~~Sw!}JGnhbW@L)kI0{fB4d~)afl}<0e+b_ur!ViLYv^uG_`+
zj>nh$1<{}@k*-ZqCs2w*J&=OrWM(8?;EN#TPw4vX#u&uSX`||eqLP=60?`vbG||;^
z2Yp4w^lO~)KgNYckqxyBYB%s*H_}sAl%4YbuJlAE(QG|dNpa7w8e(f_LRA_bgrA=l
zP=sJ#mQ%q^rw;Z_?Ze9|*pH{$67>-$Y43>~;zdEo%*M*RTCs&5rLCOAY?QnWdxz*M
zx~lmcdu(ND6yZv<$62YeArkoXaBiCK!N}2MK2(f~n^dH!`#Afi<5Pb#pKfXyj*yk+
z<_tAYUE4H>znP9VuKS7L_iaPfd?`~YwE}H7iA_QQ@qZ*ZI=Zw_<&~l-A=b_|Qs#CH
zjh5+OR!hjIRdY`Ssi}I=5>n|NSV45)j!l?$ziPFhdS(qg08a@&oJvSpLs2mW>L^Bx
z;s3Rc`ZoalKcV53m(+qN?%caa4dZDj^l3j_IUhCo1^sL);ASyy04n?d`L7QOnF$x!
zXaG5INLtzhZ(NireCyyKpuD`?_$G>-ELIsuRg44K*ETAChbymALTd$$t&VjW46==Y
zj9e;$;<Q@6`~zw)eHZ5E^`TQlG0=bywb<03tIaNLPE=llL7F1D<oli!s9C3X$;lBw
zbE6@1b93)vVz7K?+YQ#Byg!23KVJ~o`>H=UlOhI9mKd;lfSk_E%=moxKvHwO7!R!|
zTWK9I&$z}SFkb|%73;*uv8VsYN-$s`wo`ShsoL=mF$KTn<qX!t+qkG9s*)0i*ac}i
z0Rb}LK8JOl_VbdEkfZ?rOlrRSE8__aiA1-n<yDC7tqfiP-orK98TyZ~i}O>hFA7Pb
z!I!RFPXUH*dGfSpTA4!7RzI635Ue;0!*9(%WIvmw0<_51(Xl4={(uQ8H_djM@W42s
zFG#eTjJQ+b!#)Yx(ZPe*0vYcC{p!z-4&O$7pXB6QsDS_&sz`^$9Ifj8#hqz?=m~En
z7jeGhey|oiKW~H@76YOQ7`z4mW4SCxIGHoH05qOM-5%cB2Loj&kQY`ct)S2f&Gz<B
z`Un)rA?4+Dzoxc!8+?}<pMtk&Y!QC=K0ZDa!0D^Me}p{(UV0lfX!!Fzz3aiKDOyUW
zWAPk%U!mRu7$*BronKQ^(_5e;;&HlOo)PkWzw9NzH*DX|L5ddy%<CMOu427xyf;fJ
zUHN0<3QE8+U<(b-8)aOZnr*CKzkU${hXx=T9wk3sveyX<43-7x*1FSzxS_CS2NyNM
z2K*L^y928W!c3#>-m(&mKcoW8zzmJL$YzZ%xU9i)Zz@=<8Ne$X7Z(@DjfoqmIS`A&
zS}Z_@P<%OxG&Jc>z?o?u?Sy`~7*M#+85y&QE>n%rm-p4aa>=!Vc{gkrG-!bFuHK9%
zWQZ65JhF*I+9LP}^fpHTU!x(-fmaK+4tBP;8>ebtJ?RRKh-ig*H+1=a@X`PjtPDei
z3uPb#EVf^e72WH7v~_scit79UsdHClFoHDs90fZ-#6S=|-khqngB^b-0fTpNg+CxF
zC{!6xD(NRrd|?s?{3QJ5JzQj@-unS;Hx5vMD3TT&lAPP<vUF2R%O%f~y~fuV*kZ)s
zV<WY%1W;&p1IE>v%B3W>Xyf^x?``evo2<$wv7mW{XCAfObqBf*B^aEB=@SpwR&t0~
zux$}wAh<TU(BEtQU<o0OP-4!241*UL6cNEuo)2N120nNh56`cpga_mUfv6cM!6!O2
zsDsQF@K+Y6m!E+u7%8{8^+EaQPiArvaBa*Ps8N)T#=gczv|9K5CWsk37~7Zwhz7<V
z5yS|p85n;>`AumO+`75B8RHtGTv5WqZ{~xzAWUF$Vp3?c!-WU`B*z$UHI)T82+Cbx
zo=>C7k)_IcJp?=^x*G7qrJ02VRr4vpHe|zOP<BN55a1Fa0Ptv7twO7L*QuNYaRhI%
zr_Nr0aRsGj$VUy9{LS6n1P#%vdjJ(nKYjWGXvc6eUDw8);dK;tsM!qwGn-l-Eb1Tg
zK)_qi&dt4n&zrOlW`d*vjO@?u?#BRU^Z}+hzqt6~aAOi+8){gcIlxZFsdM$cR;6y~
zAy>NrWby}+dZ<7r6o3wDK!!`J-nJPvfj@D%Zt2HcRaaG^SJ;OZ=hMy3&-;D*_Dy*g
zHE=cl_5QmKd9ZZc7X!Evg35PPg0={1`vJ)71%*P#{x(cv(Ez+=KT`);8<iCS2mmOq
z$9}604h-Al9pkmhYBC19?K#OiI#ndVm<l?rkW7J)5QUwAxMX>(G&kd(mSrgp;_U3q
zeC#xe;?-LV1U&NrglrrfBz^z>ea4P9VDf+*{Os%maF(gatdFjus)~*#Wsjq9adDB3
zjqM8j6g8I>!=Z=b2OQT%`gRi5)+_;&`*<>3YM~Aw^>vs6#g;j{INb!Jv%9<+xQ#0E
z@P|RKa|Un(D&kPdsLu2B1t@70WeosEcD*=Wnq6K-kp$Ez`swe*;RD!|6gZWZ$ICfh
zym+xS@JvB-%mU^jlU(O;@^q@NYn53(eEO6CvWYFwF)$NIBP>h-st*YWaFj_<vviO>
zi(>oK;*s85bq-WUWsJfBZ54_%@;dp$1fz-ANV}X~M_(UNYHF(M?=XQP&r|1rjNR?f
zR?J=PaC3D<(P*x~G<8hmz-f)!@t2a%91{j<;aIC3(Ch;pNqe5lRE?YK{ClY)xS*o4
zvJt`pfTB`0Vk##1wE<kH-wRNAcZK2@sG=ODZI1rQpAiJc#>S1n;@f9`9)X>Pn6y0Z
z6bCwiLckg?g9OG_?Z7<TzCDPdhDOl0Z@loi(N%trh{0UGeP$AXZnN!=Ua_!3FPcz(
zwVq;c^$x5GQ<e~6IlqnzFP3}JQTLOG{_4D518N!LBp0v><O-C*$?v)EIelcSd-UhI
zY&K<GOaJqDq~Nr%daP-1uvE^jfWur*hD`j!DgZSaK$W1QqtC3a=DJWRg`${UCq=kB
z7iex!3OF%1g#VX`e?wyNWt!W!Gt{PVSy_9`c*ic@$>1}gN-7C%%7!oSu(jzy=AS<Z
pr@3GOr3ux|zkdmeTl<S9D!`sXDVuHzzh(iEk$fsqAg=%Be*nd0jW_@R

diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map
deleted file mode 100644
index fd4e399..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::KDBLd" name="bayesnet::KDBLd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="99,226,223,252"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="34,153,144,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5
deleted file mode 100644
index 8da87ae..0000000
--- a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-464954a9aef0437aadb100e747a29b93
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_k_d_b_ld__inherit__graph.png
deleted file mode 100644
index 4240afd7b461da41f5941be8c5cc95c822423003..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12914
zcmch;1yq%Lxb8a<q+6s>N<<WCkd}~;M(LDp3F(whkrDv`K>-D6>Fx#*nRJSTw9<Lr
zxz@gSk8|$6=iD*w7<;U-mczL|zWIIsc>mAydmkcHm1PNVsc{hq1cAJqv^oNT#tr|X
zVPnE4r>u86;SWp`1zBmtCF-B|4S5L&1U*7tTH>k4yUiJI?L_kn@ts3aTG=aCF+`%W
zo)wh+VmOPqUAFWsGU+ijGWES}6Jc7-q=jywcrkCq^OFi)z9jAmeOEqPimafwW#*+G
zlZpzr9?6lBEwS>n{k=GUrpU-iixG+?UcCP2`$~%E*73B!P<_Knh9%}hY=&TB$$$P6
zu9sHpB>VXBV}ba#4Yg?E{j9_jHeO!dzFF6BWZP~h9dp>7oC}9oli*K8@v(?;n{6TK
zbv5>GwwN2DwO9Lyv;7XXW^A`frSF=RxT8s8JC!qc2NT!cmS73~CW^z&5WFS-8i(P9
zN}wWkmUo4rpPEsgN@nL|g>9+bL|N`9SqfgIw!cH-M&_ASRRS{6l*5e4h5EHGaGp0F
zvwR;JQPb6pyf{BKovrs=ohZMJnD0%x>+vf|tHi8_lrpB1#s93nUgVx(J!Nszg^<3!
zzT<K~mECv=nuLVJ>TH8BA?<^Jl??Bqo|{_Xlhb?A_io?DO5?Y;iPYW5H)`^elb8QI
z=F6wlmakFZxc2?lwA++DCw0sNuRT^tDXCJ6fmDmazvHE*)u&r^rO)TYq#r$6SO~k>
zc{t}E>vw*#usZw!5wN&u@<q1-_t&pq1L{(qo`UeyS=Q7D`uq0@t*x!Af4&laotzwY
z?Y1&+-%nh%=iUb!5z6xN&wO)obH5J_#WH*T>b*`*M)t#_30}n}Rdd_z?yr@V^6c#F
z$&1KH+zfI5M&!?X<amGo{#~E3$Wu;#o0#~tIJMt`2W_X*$?Iq#Owg?RwasC1;kN63
zR<4ljE83n<pFU9^#!~TwGN&XZJwlA0%)J%*ogc@Hj*ebq-bbEx_<3_hF5cYS{NCNW
z<(@t{iHT%eFuaqqL)V6T`B=K^8ycu+XcV-xwAgZvzDW_4e)<&7oRXN>-rW4q%iDXT
zt1GPBa)?D<`Q3v!CnqPQ8$6A$>+kl>sj39#k&%&!Vk2?t7#X+KZ!hu4@0Ez*T>eRJ
zDv^!7vA45hoP6J)+W*ooe(Cd*yw$C(!O;RO_>lz6pqFi7L@P;mwd^X7r{*r+Jib#~
zUCk*bmcd+OH^DvYz1@I3DVi%{@9vDD>5{$S*<Nd)H)p@!qM1JDdq{`2Gv5+4>PMK8
zlA@@n$gCsUO|2(uUuAA)R^oelaF2~`u{(}wZGQftySsbiZYRz3SL<urb=!?Xr}63O
zN)!|n4%5|fhK7dI4c_h*Vx!W5ia!)g1Mv|*7Z=|qCwKk$@$}^M)McSHgt_M>I+k<a
z8+K&E*vw4&+S=N5t?S)}`g$ww6uJ1Go*vXY>gZ5KMMjR-xL7ux{pq`R=gz`Jx#dKG
z7Dtgm-5Z$0?7Y0&c(}OmBh@d~)Cp<$qn9e^(VJISt;i`Tc-Yxv{QUgR=7WgrD&;jZ
z<8Ix$<<t>*ozFoFQ%6w|e`P3hh{Dk0<<G9zyv)p-u{T6*L~|<}r+x<&3ROLyQx0k|
zrYoPErZkKB{6Xxe{&A*;u`#{)$tqL)(#ih1;EUC7LZ|9FrgC!F3Gwk}GAs^{6B=v<
z{V#kxyuF#2nK5ET{$R()$G^9xzBs6AVh|FduBoXx+U>fzu(%iq3)y(O+NnhQ-gvns
z5yJTNVDl~Kvn%=r2Bo%R_uneA^k<0DFfVLw#@u<5YuxpUjy@tjp0plzP<LNnTfOJs
zFZNG$EA6PJr>8kRc8u|9`0;Nmzbl!rP-<;$<+L1pr(1;<z$_<uC*)vrDu@|bY(#|M
zKXoV|s{DPAgCne<;BI36LC&oT8#}svs+HOwmi@{1bOK9CIIC-G`9Ik+6pb-UAafKb
z_I{7{)zXoX1y4`wQ{rQ8Ojh7sTwGui5_UofS(u+kARJv?JK7_zmHM8#Y2PE?n6A0@
zBv1J&!pzL<eRVY@Iwt<ZxklgNs^>;_lV5Qj-`U%mq1kS_6svTYiG*2XWM##Uh=|bm
zy}Q3(aWQ4Z+iJ!=VOL&i(f{`4n4vd;!kc?7r`t`juyE?n52m^Y2P-Gs^?XY-EMYPp
zD=6&lj~Qtd{OY>t-@e!pB~jLU(TP;cbShHt?eu95KqIhu5}rD}_lpAIxV!l1?SRDt
zK|wSG;Z3pV8=_wGu++7y9T~oV|4vLshJnDw#xA)b;QITiw5+UYYcLMfFr)&7kFW2-
zuU{ek{fg`I{&17T#Kift<G++*J`Y$_GNNHzz8KVzms<=-dU#Y<7z8bh`4st>Oxcuw
zeu`-&BZGNgzgpGy-woE-*y!l)E^A`K2qjwWSE*K!enf#*u_m5{o;bRmD;bn8!NGm1
z*yS583;`^uaXR<Nzv$PHA{>{xNjAny(GzZ~bixK$SX+yL3W8`JOc#!ei+e_ptoA{s
zWpwnq%W}VjqGB{(K<6vEsIxO4W@hF9W^NuH5-O?)cD+h^QBgWIHMMG=V{RWGA7Uyh
z>jwO0ay|Pi0SO7$aPja855*nl5n^XMZLoOg1q3K2CMICOW#D;Plv0D0(}ftAncFS?
zeHRA@2W?n?vz{w-s7JFXr(#LK+1=e8FL@>vGv>fo`Kt4ki&Uq6xW&lZj*ARYZ*Fex
zc-W4-l=#sR5m`NE*%NllpVU6A{`@KB@9(di!X3h6IcT;rn2xHo@$Uql-$2_5yXp7o
zyMv_Um6_@3ai}Olf`U$yU#(#U=XIDogPoV2o-PQ>9}@$^ai-Q)gFLI)u))UOvN!S0
zJ7M>t0e*SsgN+GZ>X_+zPab*ai?ieUzk|YsoBB-#HRJy0nXl-CxfvM)Z>wZ{oz1Ik
z%oO#mM2h{;$ji0X|7t}NBf|vuUt3(1G%_+;uWK+H?f8$?Wm`I@X=GC;{qcU;ILGgt
zED5)UFJJB%Ry$@*US#^6eD1|bOHa3NNHp31J&I32P*~c~>waS>U0BP!Dc4%W@9Y5)
zozRbY+YuYvgpd0XbBQ+V-UhIyZ+mV|7BI=a+Sywh*{2Tb{Ncp&bNY27Z!kv6C;5t`
zEm7|S>AN`>v(q;#?y#~p@BZxCJ)OI}@w|Q)6N>rRm)P5rp$*=LflEw>v);u%qZK7(
zQ(>JvJUqJ_<wJ{Wd6{pBuSrfPvUrY_aRmkjzJBw@qBx8~@+-q1J~2t`nFRW4lB*dQ
zDa4Y8HU><>ZX4PPNKiO2n(W>9m~DdbQ!Xwpn`$a)E;);nT3;*OS?`v+v)hNX7(cMw
zrVg&oX}{$(xHsd|xaEz@K&^o6PNjO;mDu|8phzmb^2_erGp65UY3;KJ<tqVMS6*(5
zz4!a-A}{$>o}0;5=4m*ZF{W{mV>_Am7?ZT#EeT|FVrbXH2WXD!?c19MvBdUC7&<%=
z3d{7Y82X2c4P)2jX|1~AgRMX(rAEjoG8mU_(JNy1_9-x=2Emmc`x?}VtxvB$&~s;d
zAhmE<-1wNvg(3B=$mdiEO-`A>oq`3H%<@BHX@b)bVgZT3FH}~|WPfUtlbX2ihREvG
z(=$vysCo4zV&IG@oy|E8>uRj-mb$h!cBcJse(w8glDvWa-Kmru4EUe;+8<s$B;4ex
zysAK&J&-_eYmypDNoicP>4vVBWgTwalNxNbzLaBr&Ffx@gR*qS6@B}e*k+A#$u6SS
z#IsyohSUJK)$8(5C)W^41Z(rCPS9EBb%xaN8NXvWJ?VMkfYayW4LiwAmvaQCzl1A-
ziBE{r`U^{Y66ac2rFr6$-~7)r_rKANq-OukmyRaJY|hjjUcUBeyfgKq&h+|>7viCK
z*cV0bvG1v@ITx0DtHVZ9b%ewG5BSYZQ*&Ll9xLtb?ppU+xZ3mf`X46`iMp|Wyxub~
z5Rz*>g^+t4!7}_&Li00d&Vk`CR!sk)nQ548{||3A!Pl*vDHh}TcX^^5qps$~8Y%fb
z?SSxb>}YB}TouuMvcU{d+lF(LD&DGDQPtE$-iyryxe20|@Yk=gA{SwoWqk7c`r-Cd
zl?%-;(Y0%w&C5lKhzDAVB;F(>1SzHQPm~9<41-?#`0?Y9(+fDT+h*M7Vn8!7u(9D1
ziJx&cUS4?bt&b6be7lMuqo6Py&DTJ_x3&SrE2p9omTQd&sIGqSF(+r?mGIU>L&F=O
z3Wx8--jyz>vK-1-1#OAcvaw-1KRc6)hlAr8X!DrEzP`Q>xz_s*RqB3zVt3it@;8e=
zeVRZ1yJ9OkXi~~4F5Wb2@AmsgguJ}`ev$1`cU*L2WIl2bG@PJCKV`g`rY1Ss(}E9`
zr6r?zwI>SkFJHc#E;ElBIQ_w&!K|aH*;!V`oz|uGSYCbsN_h6BZzHbShfa(Xa2cki
zrfa`{Kh7b$>9xv0e*JnJGsqxHN=mus&!3+h9XUebW$uZ%cANYD{lUps6Lu)gT@4~3
z-ptEO=yZQw_QP;DA)Sz8OW;-H?MtJJKNJV6!$CK0+}QY@gLk++rxGvX`kQQKW~Rn#
z-^R<!>$@?h<I&DSz4Ncg0e=6}sX6sKk3esBc6B8%C$sByg0LOao!g)KPZitA#KV&S
z;)1yVOUK^yS%FHWLtl3{N^0pmecB$!B>TOk<>l7ame0=^fokg!mRa{XUnD=&VmCK_
z1AYB!r=K!jo}NyJTQmD7H43jIGz+;TFatoS_xJUgqNd{fyvA`sGJXkG1j-MrCv^UI
zE7|9Bjp>*{ExO+J4)|r0o!LcVqoZ@Zm%LZd(T|5^Z^ki?6&np@NrlCK9B9-+Qj(Ik
ze*DOs5*JaKRVwiYq{GZ%D;|eq_iKhPuxwzmK3P+9=vOzxVsqOVkHf*i0cZ0eEG&#q
z1O!>j?F^4V<{Hnx7GPd@#Kki^Iy&y%zrPG>h>D!N6V%D~iHVfHWR8^~@k>Re5f3>1
z*i<&)Sl71oT+IqQ`mVq+VV7VxuFw}8j8SPj_R6AsV)?v?h+7XeJNs+T4J0fIwv+g_
zrmBh!eT$hTSW;7GIGR>rL3r)|HlHEH#g%k$xQ~yC?zTC36;uNT7MAI+-XupyM+5?d
ztI1+}#CW5xFxWh|t?39bMpqCZJ5=@cqtVbY-@{<7PE~R6+fQQTka-<$#ef05saNIj
zXspP91SD>Idpq0y(aDMKr9Ch8Gwu|-$_Z825UlL%9Uw9<7sGD)pOHjSaA5YZo!ZBQ
z6pD@JHMxFPnZv@T{Pyh`ake~PUzHJWdq)(-Gyb%Nr6ml+1D_*Kuf5fmL0Cj4;CbW}
z6r@yDi4pYl^vzz=KR!Ppp`(kzxyI6L#cKkk5K(kBE;*S31Y4m>C45iz$B!6bQo42)
z+PFObm@O?Yn`};2yydecZ*6NU+@!{DvhX&4KW<Z=b#kzY2ZoH9g~g;joJ7Mxug3XS
zkzs=_JN-Y;c^!o1#9S?}`CN$AeYZ@Mu3YC+0EgQG0*DiC{Z7=IJR>6m8y_D7fl}~P
zR8&YuDn1)B@FQH7gS0R*+UQoG^SXzIWI>L}G4k+S1L-+lW{w9&o#guU5SaG1t}ZP2
z5ZOm$S31gq0I8i-Qu58~5*>?hzKuxyi__G=00B6@HsS61AUa{UW;^~iGj0Yku^Tk}
zcFitBqFS4~|2!{WWfQ?#9kIQ#DYDz^V56tITkhoec-WYelZ7ReB_YD1JmrH-Om=K6
z5o|$0^Io#ScY+D&!tNGO&g7i|a$q#y^gGIWTn7vIg^P<R?BKPfrFQF)+|v5`cjQqa
z3=9k}+}xHy|5FhYH@mJQHFS9L^`#hlz-&2gP1o>GG53Jb9<kze{<}QD+yey_bmR8d
zN|&FN|D`r8G8^TCRqO;sPxtg`<^{4s23B%~0i!yF4%4+lU8$fAFC877dMFna=i=vk
zPm*pwc5|!TSC0hS&cn<5wex^&&QrvFOF!v6HFx)D_ov8<Rn?$krGi4Gcx1D6IMm@A
zg3iG}eTuZ$D^QDXM$y06vS6FwmIRA#MH)_7D9p`@mXU9VnD5EX&scGXgRW~z3W18e
ze09Zfd@>dmEE&EBIwI$LBa{LT?;83@B*#-`<|^!>-@m7aQ)i+MpF#R=Rv#6}KmC6>
z(?5E__6;BRaYKk?_?sUeC2|u_BA1wyCUR$ei(R(~l-i!tma9zEy+KOf*-vV)C6@g0
zM4xmnT46EmU(vT<G)Mp2{=24-hX*|t0vB)CTJLLqiMx{I*GFaJbI~HxT+|O`5p@2?
zRm9m;a<BQANVyP-h<?s_wSQ$G2YXu2$HEr}j<Pq%rqLdvb;uCVY02g<A6LjpPPdxL
zAQh))b`b>Ch0bXKdY{o5H*^yIRf=l3T(~9rRRxl0TyA&e!ub^qb@_wV>Q;;NU*k3Z
z3Qbeg;yYrN&Tmb91zPSE2(XvVEkU@B`EKY7R!_srq(GNilbQ{@eET?nZzfyN*d_{O
zDa~zop7CoDdt9vVu;x|!Ry7~od7*PH_kN|Fx#U*^(6J_%A@Zsv`$ib-&B1R9<iaae
z0>6B|BT}U89Zlj$zvH3shFMw<b(e4bL*pN^uUM)cR)23nyI9}SN?})hLu{Xc(t?^V
zoiHL1WLg&t#)}oPcMO_}<q87MkYo(OV(lz0wszcAlXZj)liVqB|2Go+Z<lueE0g>$
zA0ThT0D%BO^bSF6wJnq?#TAVRm{PS^d7L^xl$Dj`oAzM=P8xpMI?2Pzu+UKDTEDOl
z4Qw?TEyj+24h}+NV`Cc>NC;l1r9~+u-xuUtF@3R)Bmjjla7-*ITUJ)4s;#YU?_Yq;
zjc{~v2`VlwZs;Q>PzBZrm-DTgdU$wrdop}+c5$(t=J<b?hz**5i*kqseuC-Ju5)95
z!>(tst*-k6Z~|0g%bA0non|Q_(O`gFQ?E2ehk&f@^xiEt?uowzfIwjM&3#L=bRpL=
zcN~Gj|A3)~=jrd>y?*!3Zbt0IDlt&N-S%rL4@Y<r4?!1_+_>>d{CrL2t*AFY&`D!n
zYLq+E-8L=NexKNC8Y>!l6_0$rgTko&qkIB<lFDbBTA9Gk`Y&@WbEgt0%v$LHwG;M1
zHnw$mnB>)~R}Vm*c1BYLrSMqtn<goJ0Ps?vSt#l0d8|~GvreV+>=}bxHfYgNhdR){
z_4W1dpSFqBtE#FZh=_<N@ill1M|kz?JxY<pg`Yk>R8u1ng6dPu&tcSvpV0H;{UjTm
z&<pIt8TXqg4$yS5U#xNR0FDjCH2#6w^fzxpL18fdOT5Be{q5}T$;95UpUD88#qTg3
zu2XKom!FGV(iG<CjJ+8vez6;i+=QC@42q?8smY_Hs0eWFxG0cxRo=|PqIGPns&nFX
zk6A0!#sY(AyY=eY&g@cCqnowwP)ApLM@P%h5D}bL9zbo?^!4!(a>~jwK$%D=DY3=H
z#YHa9{vrb86Ih<Xm}pF{PS^0jclsj`gf~RO0fT>l<*{>c(AgS-Ct-LR+@Jj@>Kiac
z3{1>y+p!`!C8ev5o4=yN!mwt&*4dAaj+&>YXqaT8OAI~r_0rsDTqywQ1c3Se*>E_E
zj<{#kNNd^|U5a%7>6X(=?7dOiRRYLcNF|a%Ds;Z6ZmZSk@<c1`kSA@R8VHvCY+glO
z(oobo0U*1aoSX;#7b1Qa$Ce;p7~v!|sB`O>ZSdYL_CLo1S^}U=CXA47r%U_-4%zER
z%W2QQ<*D2}TT}6uta6x{2Qbx>aQnlTjmfTc8{t8u_Biz^|4JW6lgRmqig;-wg7g0U
zSDv1pib_g3O-<tP<Z|(}4;<;M>?S0YM&1Il1=*0Bm*=vMEZqC^C%eatQJ&@Y?UA;&
zAQaYSV>1CDbNr`|qx|E?V6Y+PFjLiTo4Of7u8}YS_gGoq_n0ky&ruMx8|VB7MPmmH
z4-bPXw9wV12Cs6|f^~D;E`b?^wLyB?W&#ndHtC4et)io&JD#*H9`5Ul0$vPXmCt{F
zc6K&8HnzCZ9}aZTAw2Tm?f9=DOifH+lzbX@TJdPb{Y2od9-x-IF7f65<YoFTCL8&A
z*47M0K`B8I7{iK>xw*6PD~}#NL{Qw*ZXU@~`3qb7?CkFl6$wcTY~!?laXvl{&NFp&
zQk6_GC9onYV#mSEDe370h7Dd$C~L;$^ZRq2wxOXzgZ*&!qyFCB{QU=@Q*Afy+V%|%
z6(0)1ewgFBb<14OCEZ0JhwEQG?Y9s@@xZK`So7)A9iXB=cw=D9jUPY81)S0is`pJ&
z(r{Z_n^%1QTdp7#kzEXVl)~6MIIsW%7Znwyqp#l&YJ=zAy=b6PAIr;mk~xe9GyN}8
zKo<NSEnxN+eKzz?(6sPZR@jY21&#)@a;35p96btISy{H62OuE8?)B)N?%Uv%#n1?p
zfxKn*Cn%G>>6^&Wc*J;lwj%x)5OiK~F-NBF!GzbCROKLj-RNLcKmbBWSa@V$AO^_Z
z-rn9)I0@6+j11*JWAsy1&u_{*13BM2JS_g+336Z1YtL$(a(Q`K_qkr9kKlIA%8j(H
z32Hn&)44>6+`i;D2DL9FV5xkW0+-qi_Pxcp8DQ`H_IB+2yfKPt5)u+3iVE=*-#s9K
z+lO_Sv;fTH0``h{2+TAxDvHav8L_uHMFCZ-BUdTyeWK*{Y{Txw>9#2>)z!(0yC{J5
z_N{hK#=1D3)&Hf}wV_YaTxQ-^0^Y5?tIKq%^5nd057dwecpQy`fwx@f#SI74Z-8~9
z#Q*2dpFK`DtK!nrXI4)(HZ?^#p!$bGD+>Ji&p*HV#^KE|32C)|i2=t(Al?bOV79ch
zXgK^mJnVv5LPJ2OMiy#%VHMOf0@!E#vE_W^m7R@u)|^W(;RNAK8*p^4J?Ov-Bf1Gi
zQPgo~UgDm9H8HfbuyJv(ATTg6v}4nRT-mZeeBgT4ia{A8vu;ualLIySbxMl0Xx4qh
z`fwos@5KFYKwqb8sV5;0&ch1ZF%#q$9c&_^s!H#36Lx<c@zPNX(~#g`1cH%~ac3z(
z#bmiZg;MARYpwgX;W`&kh9l?(h2~{=^;%3NsnkYC<G%nmG0ZnPQs`yKD-CZ^>VJ8`
zcFNX;gNTfb1PEeb(2WAZ4o&B7sM(EzM#&WIX>K-XM3^stC1{BM%0tv2j9Li0Z%NC@
zgzhs_|Ia2u<!h;F7o)iNO;F}YcXLK2rcyA@AM^5<fReyUhcllDJ}gY;9ycjanxFhd
zHs()<>J;rj!w^~P`{DXs&E~N&3TQDDs;j`3DJw6JOG*kUZal$-5*+|Pp5b@0#@4m6
zyv!&pOala4PEiqcl79RA<hHH$@3?mquHN%6v3BMzFDNp7{@?`IZpUA&8(p@-$fD_c
zuQ<V=Ac_W-#4nCagF`|lM4+ht;5)E?EH(E3%ZsG_fA%7AXRhoYokatf^AuBBYg|?)
zp?pH=MHQ)mGy%Oanyvc3%C^D+4#Gl0ntH;=a3-v-u6Bd%OsKDv!E8POlOT51cJrcn
zW5aHpE6LVu>~d|ql!=Lv(c{lj57f<WWR;BD-3$seG&Fr6S%p8<M}&UBa$kenKppV%
z@Yo^pKSCd{;Cb@o$=dRACy+7}oRRqu7b|wc%1$0N@Y4=FNa^K}|AmV!$AQtMRQ{Uu
zB@pI(d}W{~d`e96;6GDA<ndK%9TSegYvgZ?@y2w;-dq8(@MZIdmc4zv8BE}Sg-g(+
zt&;AO*9IzsQMJ&s{X6x%$=uK|!_^2F3ls;H`2PO>rC)u?>#npqho}=S)G9#&Nql^K
zeD=GbcpT0{zq8%0OWR#h1cH<Xl?50$(XNU_QkxMltaKC?5tSkHl^Sd(D50t8aWG-I
zyEmd@3eC5J`?6n2oej@=XJ#5E>!!T2`rO%Rn4lpAyYt|_)K_l!e{AqqD3mD;eO8Hj
z7BVcsR(1bLSQ|9UWi-{*1Hr3L*5MB$*q!*il$zR9r)zCax5_k0%u;hxfSKE#r@K~>
zlCsJOR~M*zC#xGRFWZUSy;~rdRuyGZ+xn^B@nJ}Vf;CU-1<hc)Qk2pnOO9jO_mZU<
z>|4)2SCH_C{W3@mtwEge2N#@f7^vudXR|QNW>acYH*a=-ypUCG<|j{Z`CKaaq;=Lc
zqBCM<fD2*xgEtxt@hEt*<|DtXg<0WKeeNpjb`0WFb;p3#XExeDe$s4s?Q3Wp<|Tv}
zC`~>NJJ{rkYmY+s;a%lHlYMmNEmckZZ2M%A8mCOtMuzlMgY`^n_=G1PVI0sZNPIb>
z+?F~T_j}pjHpohSi1~X?dw^_W>s<`5JCf+e=U474wXGh>?dQ-bz|!s3EghdZqr_c6
zykk35d-)hW%Mq=4ozSAb&f%TkER|J(g<t2v_3LjjjnNP)`gLE|PF9j1p&1nuX)$f8
z8R^}YKt^`3{BfXs{c6%*`MN5rI<=<Sg1<m;K_9zLCc@;hBg3&d0V9JSasO-S*1hu5
zWhMz^ZwHH$09j{1(_pW|M+6??+RITwi+k}@x_`Y{;_l~Q*5l2qA*fYPhp@P5Y~7sA
z{qN@8skgb?jtB@~dg=CKo{<5`ttp%DOlq_^>C(MCgcZPao&4)VovM2<9{0r*eWgr@
ziUw+JWUQDqpGQBWIS+YRIMRt-f!3_3f0{c(edlVF`jNBL+sQHKq!};f?!9MdHhSI+
zysUQ9l&{1kKl2|wS}mLkb*#A2yfK*_9nADHS?}v7z1J8igm%%YM(A=H0{y+%s#K~=
zW}OA3CI_aUnjKj6Yn++_`#W_bF;bMzoDIJ3mzUw@?6{NaSlr(5JiGS$uY2{{bidib
zDDCSj^NE=C68r1Z8_5+4DKQlY9PV`Oo4E(9A?Wm9jSQ6?wl4Tg5}7&?oPvT3u9FTY
zQ+0!SJ<%$jT31Vn9(HOF9Cn5kh*JezZ?4FUgRgvrk@Ct4xA<Yp`+z3bOX?9LUk&T^
z?I#rP$U0d=7_mYcoO(7i+!YorI&QhV&RuZH*%9p{Ng@7>i)QTmHWiCt8-CLIkFvQ!
z+<Ny5ixY=IcDB|_yC_YKM)c(f=@Ux)Bie^pLX0nd`m(ht->UR1&E&?QCPnkn&<+o)
zdQ?!x=1xDl$E<ky%Rp)P3Ul}5>)V&|DhcRfA%Vp~q26PU@-0p^?5py}&0b;bsvu6;
z^f`AMR9#1B`EYQ`_$_sDg(-V?KVK0-t9F;F7Bb&Xos6uWp;Zb|d0#TsLc_I=SzvLl
zF0bZaCWGv(r^v_UrHH=jc%%8^Ht8{q_t+2e_Du`s>uy0umhP4!Yz)X+xz`mE+adW^
zu&|;-TB(B2ye*hZGaGEbm%{^mXeC6X)%gd#)soWK%q$~zV~{|~6xJCTIC0X`J`Bb5
zAxZ1MI4F{jU5r1*4yRM~C_Y6ylW6==<{Hme#=li+Rx5bzl6i-w@XBGsVZcc-+%{^h
zCt9uD8$;6`zfJ#mPkQ|p4_q0<sbQjilz!!v;Dh<7>KXhpcO@_4<o=Y%ag6zxn1$ae
zq$Y)F7!&OCaN(kH=eFEgGOl-?e{ah{(PzFWh2;chBtpB9LH~SWc0asU{`CwaGUiFn
zEAr?k4{N{gOhnJnnrx@)ei&ySWZESRPrlW@Cxz^G;7X|czPj+z01=A7o+2)4tZ-K<
zd}K#zgebvi-XK`8NorUp*}u(Grq^F-rGZp#dq8}O=0ly_orU_=w;An^5N}xLsc^W?
z<ESRsZGa4Udl=IMs4+A89S@f45q(~a-xbHmU?8dDl5DWtj+buhiQXWuVAoB-#pA+x
z7^!}A&p|+TsxFsYHouzr3*$~SW3GJoT5^B4gA+Vijjy*I1J|48>X-$#j#<8nV0pc@
z`GuFRh+H<4-V^MKwpqT2PH1x`sr*(#+<1!n6B+hd6rN1*pAvXuTyCC(beM+eM;A=c
zG%XG{+I;fuD&g6@Rw<0m=lEKg@WsnJeUtNZ2x-<3tg*1qLmLJO)t;ngt-q5~bn4aL
zVjKJDdB<Opn)qWmHmQf(tn&=%ML_p<@g&(m_3c*%MPC@y)Yg8L@uF4|;Vfbwg(ih5
z8Tr={Hhw87g;+bR5%OL}QYXKH{?;MzF^KO|pjC;Inq^yjj8y8JLYQRjbcb^8$2BO}
zM5knyHsoB1KzPxFpN`3X`T$SN3rR6GVf7Bb$f}3!ac}FnBsagh%M)<1htSdX#$mj_
zO|~^hoZDFLu9WR5_ZnxaXrTXsqWLBnmk!66UI)uCo-{Yv85=(3-&t+f?=Vu!Oj-wc
zQ;CbAoFWP#P3q6q_slxS>ps@D`znj)lu+P`5mHOuYM&H?e!@x37EeUv+e$G>`$~6t
zzLb>q!RyT{2->7ju5~7jHx0I=11fN6`6Vu%IP&SC6+c;MSd;gep1n0=wQRYehPH9r
z_&r({sYw+f4)-wqdfTW1;tiXzsU5ff^KCD-j$7qgkFFkEVa*PWqv^`e+%!nA5`<xC
zffMm6h9NqMxM)QAhQZL@3_eDQ5!$hZ>@>yA&(5gJbl@^I{?LNt>!osN+wEJ+mlaxc
zD$IWb9y2^*@?&wl%su^a%X^e@Ll#Ks<O%jZTL4AYj;0-Hro&oStkTj9CVC@=BknKC
zat3_^hc#;Hb$SUFhu%=feW3tx^rN}89-rKt8}280wD{;^SUc%ac#HzCv>vhVk7w`4
z(O(m=m#Wsq4DpQAzMj@D&VTq*X>MTQaT|r|1J#AVaCb=!Cl~QttC=OCGEEbJ70(cp
zQ+2P>)VMZMSVuq4VTAb?`@Eu1UJ~dsrNmdxUv%$F9)9{RXvj#<yd+UK^{10=cM>$M
z1SV!5eZ5L*R@nYUr`+!cZ((f1dbPET%KI-m+#6a&n=k(`2I&43Q|95J#J@fEMaLzq
zVciOkcGDoB#2H0LYG16GKp+wC=y)a5X`%HhmiO4OW;Zn|2=Jd`=l>BybUqFt`~^J;
z051?-3IqkCHdSfg2EGxcwbvV6Rt6W=i<>$P+-E|Bx2n-^`tFe^vLx&uK-UjCAdu=r
zL;5n8LQ9p+zOJSw3sft_{ERr(CoAn~Bqb$(yUHs9M4+Xkb3$2dMT$pEJ<*C`5L9uR
zZ$|S@b{aAC-PeG$3ekS!C3GhtdRT1a;IuU@SPz<*_3mA%OtG<|TeINdoSmJGIrW7r
zR5C;&1m=9M=~ddH$s@)BH=;NiA38a4LF93MX(<>o9QBZC1J`Gi)YUgoI45ug$Q~|q
zL-x0#taQ1VMrt6g6UZDbV_Go<Vb5<x2EwePB}9&iZ{D<8@oEacVg~0lzp$Y8(<wD~
z0qnXJw3ZqsA-MLk<9oFVrAFxZdx@Z()eo_n*6xtBqvW@H>w4Os!lPaL;tr}K)e?lI
zcSv+otiBiDZXlKK=&<QB1{#&fI>Lk=3`@%unSBXfIylVpKYeNjSG==XHP>oV`VVEg
zrXqp{{ZLwAH+=ug(>W9u3u*}fyRDeYivwKiQJvf7&bVnTS~a-{NBz!~T*Z_?FjlBe
z4#aj)CLK~h;89~fePU(J*#TvL?egNV38JI85MTscfez6U8EC(ea~MWr-Si=bZWvc@
zZ!a-1ae!rpCuUJmQAK5q$F2$4_3I1i?z50Y!Ve{&2~`n4Cj)cYwlPtT_I?tD$Y{Wo
zg5O=Iy$db87u&ORMt;ZUN%RHQim1#<@vgY@5;p(y*=Vr6dm9tis%G5ul9KDQ&E;RO
zJ(ZWoNmTbZ-ye&EwmTp+dO<-d$TS_nkP<@|N+Jkz;Xksi#I&^0Fq}*b3}`6RLQ6~Q
zxY&*Z$vS*WP6XItkM+VTPLp<QFnL+POHm;jFx}r^?tOMUC_FYR#^yIRqM?%sBf8NH
zi93XT+I8SwxIhmdDJv7A;2^D_GX?-btwMW1g2b@kJHA?ve1jAK;vr0YLH`$rY0Lmf
zj`@J=K%kJ}n0Gz2W_LHMH2hmUz}}!j0amG@@7~d(*us$Lp?<o3%76tb=XW%-?H2~Y
zt_5h;hsVYy)0Z>pFpZRg6|1hPVSxPuO~p=d(+^3ZBTdO`MGVly3G!(VgoGG@6$5yI
z_-ZrsbP)(Fq8shdqlT7bFffERlTu@tPI?>x0Rem}ZVcdySL9(_Hs+dcLPwWU*zI11
z|HUy|g$V2|M<*wVp$t(Hm}Gd!G<)PnVBFQ07pJx}m;nGQArXcFEC(8a3JqQPFf>Tl
z^2bTG7LV@$%6KhpV`GzUpZ>t<3b<-1503}YGEAX_bde4-wWD?9!+T~jxlaHsfBM7y
z2|(2mtU2@?GE_PbmKsDC;WC}fW@Tk%)a#+(Ei?|V!Q-|@Q}G}WfLmBOIJ$t|=8Gsp
z8g_ntJqlWUI+iBT3Y2;J^l6g&YLStEi?efJhe_##h3O+18AiYi(9+dz@Zvi;+>V9i
zGU_=Uf=2;l%E){UN>~1uID>i*lH&S5xDcfL23}QnO33fbBgtI??Y&m9A;EgMl{%@J
zkcPH)IK+w{JkUSA5&{$7($|Lv_VVcHXYB4`6o;-Q4oAaY{C+hGcj;9P3SGlP^;WCv
z>e`?O3Zcf*#&;0c075TVq+b&V#Mcx66)PKCEAZ*K*RKQM551{|i(AIO6uUIjVl=4e
z&rc7#ATL(}?e}TF)6Jc|y)XNeQ5}KLo6gCh6Hqx(Syv|<V4GYuj>`>oU}<UT=|nOh
zBszuRKTA0|%GRl&Kme~GUIQ+X3L|_5-v^;tQpk{78WcmCmH5w}KVKG{yXf4TdwOu7
zl1n){mhc(-{Y{&D|Me@`oZl(C+#)~%)Yw5{67n57s6-|!)He8H7|rMQL;r*cgM!e(
z``a}5qX1B4YUOiYr$uRabJMm^0*&8y*x4URNTB`s``77Y&l&~KA%TGn898Sk=sV!z
z;zCy<V7u{@5K2}EFnFkn_6?|}3$%gseyLnuoI72ddD4n_5Hs%r*Mss^KDbLf047)H
z7o=sO?~4Y0oeJu(BWx#QNQ|gHeg-S}=x^pFzNMulYV0VvOfXO#0eVhOVpx97qKDH#
zOG{=V$4d#w10lDKaEO!ArU^Xn1SY8l6AhC%?SFaBNr^A__;D+gf^QYJT2S*B0d5B;
zBqR(_+gIQqf-ngreSAb9d=MBE<g~Y{Ml0q+DHV#37GN_a;Oyqs2^4zwWW5;Gjt-BG
z#&Fz}ME2qt`uhHpjuqKyMjySOpk3vVzCQ;gkLK+B99r-1*vcU+5o{A%XEn?yax@<V
z7to1_h@g%u@2#4yW$p0gTXV!ykNZ>k*1u+E&TSGHhy%0;2nq_?H&@Gn9ob^Vt6RJV
zpFM=+OID&Jz-TyupW3(FK=k(YK^;XWB8p|>7?WFsh6n)5Rb-)FP!X#0j6n7YI_QUw
z1!ZS5l97{V!#XD@x=iNK?AI>0P<l9XNbVX(l`=S5`R3>5ropBkv@^PUdRpKt=CuC)
zkvg`(XJuFB@n;z$Lsh*rgiXDNCdc&5Ou;!8<A#*~B|)T29Yj$p?Ir@heN)A_dUc|X
zmLWA7q&x#;Iokj;ZyJOWD=Az2FX1k;m@n6RAcvr%15}2Xef|XRWd|yFcZ*kPN&})>
v27w#MtVAJHCXx8x-_Ah&iiUmLCDuohw%>9i7TEAhBnbIO%F;!W#)1C>2=Yy5

diff --git a/docs/manual/classbayesnet_1_1_network-members.html b/docs/manual/classbayesnet_1_1_network-members.html
deleted file mode 100644
index 7f66917..0000000
--- a/docs/manual/classbayesnet_1_1_network-members.html
+++ /dev/null
@@ -1,146 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_network.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::Network Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addEdge</b>(const std::string &amp;, const std::string &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>addNode</b>(const std::string &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;input_data, const std::vector&lt; int &gt; &amp;labels, const std::vector&lt; double &gt; &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(const torch::Tensor &amp;samples, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassName</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getClassNumStates</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getEdges</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getFeatures</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getMaxThreads</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumEdges</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getSamples</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getStates</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>graph</b>(const std::string &amp;title) const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>initialize</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Network</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Network</b>(float) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Network</b>(const Network &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(const torch::Tensor &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(const torch::Tensor &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_tensor</b>(const torch::Tensor &amp;samples, const bool proba) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;, const std::vector&lt; int &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_sort</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Network</b>()=default (defined in <a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_network.html">bayesnet::Network</a></td><td class="entry"></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_network.html b/docs/manual/classbayesnet_1_1_network.html
deleted file mode 100644
index 252deae..0000000
--- a/docs/manual/classbayesnet_1_1_network.html
+++ /dev/null
@@ -1,840 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::Network Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_network.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="classbayesnet_1_1_network-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::Network Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a315f22b9268787687e9f860a2cc81b59" id="r_a315f22b9268787687e9f860a2cc81b59"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a315f22b9268787687e9f860a2cc81b59">Network</a> (float)</td></tr>
-<tr class="separator:a315f22b9268787687e9f860a2cc81b59"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a40600ca866444d501519a7a4376b1b74" id="r_a40600ca866444d501519a7a4376b1b74"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a40600ca866444d501519a7a4376b1b74">Network</a> (const <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;)</td></tr>
-<tr class="separator:a40600ca866444d501519a7a4376b1b74"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae8ec752b379cd4fdefac23a967d2e79e" id="r_ae8ec752b379cd4fdefac23a967d2e79e"><td class="memItemLeft" align="right" valign="top">torch::Tensor &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae8ec752b379cd4fdefac23a967d2e79e">getSamples</a> ()</td></tr>
-<tr class="separator:ae8ec752b379cd4fdefac23a967d2e79e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6a18e54ae22002baeaca68c67ec260cf" id="r_a6a18e54ae22002baeaca68c67ec260cf"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6a18e54ae22002baeaca68c67ec260cf">getMaxThreads</a> () const</td></tr>
-<tr class="separator:a6a18e54ae22002baeaca68c67ec260cf"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab2e2be4aac2615cd864729332d8df40b" id="r_ab2e2be4aac2615cd864729332d8df40b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab2e2be4aac2615cd864729332d8df40b">addNode</a> (const std::string &amp;)</td></tr>
-<tr class="separator:ab2e2be4aac2615cd864729332d8df40b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae70b10f45c8e19104bcd056de8590aa4" id="r_ae70b10f45c8e19104bcd056de8590aa4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae70b10f45c8e19104bcd056de8590aa4">addEdge</a> (const std::string &amp;, const std::string &amp;)</td></tr>
-<tr class="separator:ae70b10f45c8e19104bcd056de8590aa4"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a82cc34f52fce3fd342b4b35b7e67e92a" id="r_a82cc34f52fce3fd342b4b35b7e67e92a"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> &gt; &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a82cc34f52fce3fd342b4b35b7e67e92a">getNodes</a> ()</td></tr>
-<tr class="separator:a82cc34f52fce3fd342b4b35b7e67e92a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a530c03d266dd20edb984677edba90106" id="r_a530c03d266dd20edb984677edba90106"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a530c03d266dd20edb984677edba90106">getFeatures</a> () const</td></tr>
-<tr class="separator:a530c03d266dd20edb984677edba90106"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0fcfb559c4a64fa8ee14dafc08e919fa" id="r_a0fcfb559c4a64fa8ee14dafc08e919fa"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0fcfb559c4a64fa8ee14dafc08e919fa">getStates</a> () const</td></tr>
-<tr class="separator:a0fcfb559c4a64fa8ee14dafc08e919fa"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae4fc0546af1210204229475bd30a5852" id="r_ae4fc0546af1210204229475bd30a5852"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::pair&lt; std::string, std::string &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae4fc0546af1210204229475bd30a5852">getEdges</a> () const</td></tr>
-<tr class="separator:ae4fc0546af1210204229475bd30a5852"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af3b902f7d2aae117bc8602ded309937d" id="r_af3b902f7d2aae117bc8602ded309937d"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af3b902f7d2aae117bc8602ded309937d">getNumEdges</a> () const</td></tr>
-<tr class="separator:af3b902f7d2aae117bc8602ded309937d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a71caea178a8182767dcd1aefa0f5b554" id="r_a71caea178a8182767dcd1aefa0f5b554"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a71caea178a8182767dcd1aefa0f5b554">getClassNumStates</a> () const</td></tr>
-<tr class="separator:a71caea178a8182767dcd1aefa0f5b554"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a7cf7986b48e9a650b46a2d6366bd184f" id="r_a7cf7986b48e9a650b46a2d6366bd184f"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a7cf7986b48e9a650b46a2d6366bd184f">getClassName</a> () const</td></tr>
-<tr class="separator:a7cf7986b48e9a650b46a2d6366bd184f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a950bb9301c09f773af31a113a6166947" id="r_a950bb9301c09f773af31a113a6166947"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a950bb9301c09f773af31a113a6166947">fit</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;input_data, const std::vector&lt; int &gt; &amp;labels, const std::vector&lt; double &gt; &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
-<tr class="separator:a950bb9301c09f773af31a113a6166947"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a32ffb793d0bfc68c804a4bc5c30bb1e4" id="r_a32ffb793d0bfc68c804a4bc5c30bb1e4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a32ffb793d0bfc68c804a4bc5c30bb1e4">fit</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
-<tr class="separator:a32ffb793d0bfc68c804a4bc5c30bb1e4"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:acf7176d52ef6698f6b7a3d45e98c28b1" id="r_acf7176d52ef6698f6b7a3d45e98c28b1"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#acf7176d52ef6698f6b7a3d45e98c28b1">fit</a> (const torch::Tensor &amp;samples, const torch::Tensor &amp;weights, const std::vector&lt; std::string &gt; &amp;featureNames, const std::string &amp;className, const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
-<tr class="separator:acf7176d52ef6698f6b7a3d45e98c28b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a16e03b6ac36f9fee9f798e77f51f610e" id="r_a16e03b6ac36f9fee9f798e77f51f610e"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a16e03b6ac36f9fee9f798e77f51f610e">predict</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;)</td></tr>
-<tr class="separator:a16e03b6ac36f9fee9f798e77f51f610e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a234788045f5c33ad6806a9176993f98c" id="r_a234788045f5c33ad6806a9176993f98c"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a234788045f5c33ad6806a9176993f98c">predict</a> (const torch::Tensor &amp;)</td></tr>
-<tr class="separator:a234788045f5c33ad6806a9176993f98c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad960b15f71c6b5a3bc87f80c9e1ff22a" id="r_ad960b15f71c6b5a3bc87f80c9e1ff22a"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad960b15f71c6b5a3bc87f80c9e1ff22a">predict_tensor</a> (const torch::Tensor &amp;samples, const bool proba)</td></tr>
-<tr class="separator:ad960b15f71c6b5a3bc87f80c9e1ff22a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a2dbbcf65d7ab9054b696b01f13e5cc7e" id="r_a2dbbcf65d7ab9054b696b01f13e5cc7e"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a2dbbcf65d7ab9054b696b01f13e5cc7e">predict_proba</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;)</td></tr>
-<tr class="separator:a2dbbcf65d7ab9054b696b01f13e5cc7e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4881a2ae57b31b0fff036dca3ad54af1" id="r_a4881a2ae57b31b0fff036dca3ad54af1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4881a2ae57b31b0fff036dca3ad54af1">predict_proba</a> (const torch::Tensor &amp;)</td></tr>
-<tr class="separator:a4881a2ae57b31b0fff036dca3ad54af1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad75240a4f32aa87d20b1b7417d5c06a1" id="r_ad75240a4f32aa87d20b1b7417d5c06a1"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ad75240a4f32aa87d20b1b7417d5c06a1">score</a> (const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;, const std::vector&lt; int &gt; &amp;)</td></tr>
-<tr class="separator:ad75240a4f32aa87d20b1b7417d5c06a1"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a379d84656a39a7dbffa119927522d0c7" id="r_a379d84656a39a7dbffa119927522d0c7"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a379d84656a39a7dbffa119927522d0c7">topological_sort</a> ()</td></tr>
-<tr class="separator:a379d84656a39a7dbffa119927522d0c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:afc1b2f22c24be01259d9aed08f2343af" id="r_afc1b2f22c24be01259d9aed08f2343af"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#afc1b2f22c24be01259d9aed08f2343af">show</a> () const</td></tr>
-<tr class="separator:afc1b2f22c24be01259d9aed08f2343af"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a87caec5bf05a768023898248767ab45f" id="r_a87caec5bf05a768023898248767ab45f"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a87caec5bf05a768023898248767ab45f">graph</a> (const std::string &amp;title) const</td></tr>
-<tr class="separator:a87caec5bf05a768023898248767ab45f"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a942e3731047476632640787856cca461" id="r_a942e3731047476632640787856cca461"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a942e3731047476632640787856cca461">initialize</a> ()</td></tr>
-<tr class="separator:a942e3731047476632640787856cca461"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a86f01a06e17b2222aed4bd99e84b761e" id="r_a86f01a06e17b2222aed4bd99e84b761e"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a86f01a06e17b2222aed4bd99e84b761e">dump_cpt</a> () const</td></tr>
-<tr class="separator:a86f01a06e17b2222aed4bd99e84b761e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1e01554914b8bbf8569dacd449daf6b0" id="r_a1e01554914b8bbf8569dacd449daf6b0"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a1e01554914b8bbf8569dacd449daf6b0">version</a> ()</td></tr>
-<tr class="separator:a1e01554914b8bbf8569dacd449daf6b0"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_network_8h_source.html#l00015">15</a> of file <a class="el" href="_network_8h_source.html">Network.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a2b5c1390c93cc55353659c32acc23eb8" name="a2b5c1390c93cc55353659c32acc23eb8"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a2b5c1390c93cc55353659c32acc23eb8">&#9670;&#160;</a></span>Network() <span class="overload">[1/3]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Network::Network </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00013">13</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a315f22b9268787687e9f860a2cc81b59" name="a315f22b9268787687e9f860a2cc81b59"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a315f22b9268787687e9f860a2cc81b59">&#9670;&#160;</a></span>Network() <span class="overload">[2/3]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Network::Network </td>
-          <td>(</td>
-          <td class="paramtype">float</td>          <td class="paramname"><span class="paramname"><em>maxT</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00016">16</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a40600ca866444d501519a7a4376b1b74" name="a40600ca866444d501519a7a4376b1b74"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a40600ca866444d501519a7a4376b1b74">&#9670;&#160;</a></span>Network() <span class="overload">[3/3]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Network::Network </td>
-          <td>(</td>
-          <td class="paramtype">const <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;</td>          <td class="paramname"><span class="paramname"><em>other</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00020">20</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="ae70b10f45c8e19104bcd056de8590aa4" name="ae70b10f45c8e19104bcd056de8590aa4"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae70b10f45c8e19104bcd056de8590aa4">&#9670;&#160;</a></span>addEdge()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Network::addEdge </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>parent</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>child</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00095">95</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="ab2e2be4aac2615cd864729332d8df40b" name="ab2e2be4aac2615cd864729332d8df40b"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ab2e2be4aac2615cd864729332d8df40b">&#9670;&#160;</a></span>addNode()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Network::addNode </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00046">46</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a86f01a06e17b2222aed4bd99e84b761e" name="a86f01a06e17b2222aed4bd99e84b761e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a86f01a06e17b2222aed4bd99e84b761e">&#9670;&#160;</a></span>dump_cpt()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Network::dump_cpt </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00420">420</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a950bb9301c09f773af31a113a6166947" name="a950bb9301c09f773af31a113a6166947"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a950bb9301c09f773af31a113a6166947">&#9670;&#160;</a></span>fit() <span class="overload">[1/3]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Network::fit </td>
-          <td>(</td>
-          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>input_data</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>labels</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; double &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>featureNames</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00177">177</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="acf7176d52ef6698f6b7a3d45e98c28b1" name="acf7176d52ef6698f6b7a3d45e98c28b1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#acf7176d52ef6698f6b7a3d45e98c28b1">&#9670;&#160;</a></span>fit() <span class="overload">[2/3]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Network::fit </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>featureNames</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00169">169</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a32ffb793d0bfc68c804a4bc5c30bb1e4" name="a32ffb793d0bfc68c804a4bc5c30bb1e4"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a32ffb793d0bfc68c804a4bc5c30bb1e4">&#9670;&#160;</a></span>fit() <span class="overload">[3/3]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Network::fit </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>featureNames</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00158">158</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a7cf7986b48e9a650b46a2d6366bd184f" name="a7cf7986b48e9a650b46a2d6366bd184f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a7cf7986b48e9a650b46a2d6366bd184f">&#9670;&#160;</a></span>getClassName()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Network::getClassName </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00075">75</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a71caea178a8182767dcd1aefa0f5b554" name="a71caea178a8182767dcd1aefa0f5b554"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a71caea178a8182767dcd1aefa0f5b554">&#9670;&#160;</a></span>getClassNumStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Network::getClassNumStates </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00063">63</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="ae4fc0546af1210204229475bd30a5852" name="ae4fc0546af1210204229475bd30a5852"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae4fc0546af1210204229475bd30a5852">&#9670;&#160;</a></span>getEdges()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::pair&lt; std::string, std::string &gt; &gt; bayesnet::Network::getEdges </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00371">371</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a530c03d266dd20edb984677edba90106" name="a530c03d266dd20edb984677edba90106"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a530c03d266dd20edb984677edba90106">&#9670;&#160;</a></span>getFeatures()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::getFeatures </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00059">59</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6a18e54ae22002baeaca68c67ec260cf" name="a6a18e54ae22002baeaca68c67ec260cf"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6a18e54ae22002baeaca68c67ec260cf">&#9670;&#160;</a></span>getMaxThreads()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">float bayesnet::Network::getMaxThreads </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00038">38</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a82cc34f52fce3fd342b4b35b7e67e92a" name="a82cc34f52fce3fd342b4b35b7e67e92a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a82cc34f52fce3fd342b4b35b7e67e92a">&#9670;&#160;</a></span>getNodes()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::map&lt; std::string, std::unique_ptr&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> &gt; &gt; &amp; bayesnet::Network::getNodes </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00116">116</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="af3b902f7d2aae117bc8602ded309937d" name="af3b902f7d2aae117bc8602ded309937d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#af3b902f7d2aae117bc8602ded309937d">&#9670;&#160;</a></span>getNumEdges()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Network::getNumEdges </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00383">383</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="ae8ec752b379cd4fdefac23a967d2e79e" name="ae8ec752b379cd4fdefac23a967d2e79e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae8ec752b379cd4fdefac23a967d2e79e">&#9670;&#160;</a></span>getSamples()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor &amp; bayesnet::Network::getSamples </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00042">42</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a0fcfb559c4a64fa8ee14dafc08e919fa" name="a0fcfb559c4a64fa8ee14dafc08e919fa"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a0fcfb559c4a64fa8ee14dafc08e919fa">&#9670;&#160;</a></span>getStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Network::getStates </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00067">67</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a87caec5bf05a768023898248767ab45f" name="a87caec5bf05a768023898248767ab45f"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a87caec5bf05a768023898248767ab45f">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>title</em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00357">357</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a942e3731047476632640787856cca461" name="a942e3731047476632640787856cca461"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a942e3731047476632640787856cca461">&#9670;&#160;</a></span>initialize()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Network::initialize </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00029">29</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a16e03b6ac36f9fee9f798e77f51f610e" name="a16e03b6ac36f9fee9f798e77f51f610e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a16e03b6ac36f9fee9f798e77f51f610e">&#9670;&#160;</a></span>predict() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; int &gt; bayesnet::Network::predict </td>
-          <td>(</td>
-          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>tsamples</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00237">237</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a234788045f5c33ad6806a9176993f98c" name="a234788045f5c33ad6806a9176993f98c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a234788045f5c33ad6806a9176993f98c">&#9670;&#160;</a></span>predict() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Network::predict </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00230">230</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a2dbbcf65d7ab9054b696b01f13e5cc7e" name="a2dbbcf65d7ab9054b696b01f13e5cc7e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a2dbbcf65d7ab9054b696b01f13e5cc7e">&#9670;&#160;</a></span>predict_proba() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::vector&lt; double &gt; &gt; bayesnet::Network::predict_proba </td>
-          <td>(</td>
-          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>tsamples</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00259">259</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a4881a2ae57b31b0fff036dca3ad54af1" name="a4881a2ae57b31b0fff036dca3ad54af1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4881a2ae57b31b0fff036dca3ad54af1">&#9670;&#160;</a></span>predict_proba() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Network::predict_proba </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00224">224</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad960b15f71c6b5a3bc87f80c9e1ff22a" name="ad960b15f71c6b5a3bc87f80c9e1ff22a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad960b15f71c6b5a3bc87f80c9e1ff22a">&#9670;&#160;</a></span>predict_tensor()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Network::predict_tensor </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>samples</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const bool</td>          <td class="paramname"><span class="paramname"><em>proba</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00205">205</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad75240a4f32aa87d20b1b7417d5c06a1" name="ad75240a4f32aa87d20b1b7417d5c06a1"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad75240a4f32aa87d20b1b7417d5c06a1">&#9670;&#160;</a></span>score()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">double bayesnet::Network::score </td>
-          <td>(</td>
-          <td class="paramtype">const std::vector&lt; std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>tsamples</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>labels</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00275">275</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="afc1b2f22c24be01259d9aed08f2343af" name="afc1b2f22c24be01259d9aed08f2343af"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#afc1b2f22c24be01259d9aed08f2343af">&#9670;&#160;</a></span>show()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::show </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00344">344</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a379d84656a39a7dbffa119927522d0c7" name="a379d84656a39a7dbffa119927522d0c7"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a379d84656a39a7dbffa119927522d0c7">&#9670;&#160;</a></span>topological_sort()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Network::topological_sort </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8cc_source.html#l00387">387</a> of file <a class="el" href="_network_8cc_source.html">Network.cc</a>.</p>
-
-</div>
-</div>
-<a id="a1e01554914b8bbf8569dacd449daf6b0" name="a1e01554914b8bbf8569dacd449daf6b0"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a1e01554914b8bbf8569dacd449daf6b0">&#9670;&#160;</a></span>version()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Network::version </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_network_8h_source.html#l00049">49</a> of file <a class="el" href="_network_8h_source.html">Network.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_network_8h_source.html">Network.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_network_8cc_source.html">Network.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_network.html">Network</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_node-members.html b/docs/manual/classbayesnet_1_1_node-members.html
deleted file mode 100644
index e8f9f24..0000000
--- a/docs/manual/classbayesnet_1_1_node-members.html
+++ /dev/null
@@ -1,132 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_node.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::Node Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addChild</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>addParent</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>clear</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>computeCPT</b>(const torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const double laplaceSmoothing, const torch::Tensor &amp;weights) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getChildren</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getCPT</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getFactorValue</b>(std::map&lt; std::string, int &gt; &amp;) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getName</b>() const (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumStates</b>() const (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getParents</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;clasName) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>minFill</b>() (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Node</b>(const std::string &amp;) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>removeChild</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>removeParent</b>(Node *) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setNumStates</b>(int) (defined in <a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_node.html">bayesnet::Node</a></td><td class="entry"></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_node.html b/docs/manual/classbayesnet_1_1_node.html
deleted file mode 100644
index 2b9c143..0000000
--- a/docs/manual/classbayesnet_1_1_node.html
+++ /dev/null
@@ -1,488 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::Node Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_node.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="classbayesnet_1_1_node-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::Node Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a6a4e5b42954ba503102c48806407ab1d" id="r_a6a4e5b42954ba503102c48806407ab1d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6a4e5b42954ba503102c48806407ab1d">Node</a> (const std::string &amp;)</td></tr>
-<tr class="separator:a6a4e5b42954ba503102c48806407ab1d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab3fe743739b7ae1f24ad02af7e4baf61" id="r_ab3fe743739b7ae1f24ad02af7e4baf61"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab3fe743739b7ae1f24ad02af7e4baf61">clear</a> ()</td></tr>
-<tr class="separator:ab3fe743739b7ae1f24ad02af7e4baf61"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a07235101e26b94b219cefb1e8499fa85" id="r_a07235101e26b94b219cefb1e8499fa85"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a07235101e26b94b219cefb1e8499fa85">addParent</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
-<tr class="separator:a07235101e26b94b219cefb1e8499fa85"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0a6ce3306c7540ee96d52e7dfcf1a46c" id="r_a0a6ce3306c7540ee96d52e7dfcf1a46c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0a6ce3306c7540ee96d52e7dfcf1a46c">addChild</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
-<tr class="separator:a0a6ce3306c7540ee96d52e7dfcf1a46c"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:acd8dd14ad300bf536081cda3574c9f42" id="r_acd8dd14ad300bf536081cda3574c9f42"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#acd8dd14ad300bf536081cda3574c9f42">removeParent</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
-<tr class="separator:acd8dd14ad300bf536081cda3574c9f42"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a768256c823f4f59f5fbf828a3b406fc7" id="r_a768256c823f4f59f5fbf828a3b406fc7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a768256c823f4f59f5fbf828a3b406fc7">removeChild</a> (<a class="el" href="classbayesnet_1_1_node.html">Node</a> *)</td></tr>
-<tr class="separator:a768256c823f4f59f5fbf828a3b406fc7"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:af6518c8dae466a87581cc529384adb9b" id="r_af6518c8dae466a87581cc529384adb9b"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#af6518c8dae466a87581cc529384adb9b">getName</a> () const</td></tr>
-<tr class="separator:af6518c8dae466a87581cc529384adb9b"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a39e21e1789b9a584349710b0de2f7ed2" id="r_a39e21e1789b9a584349710b0de2f7ed2"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a39e21e1789b9a584349710b0de2f7ed2">getParents</a> ()</td></tr>
-<tr class="separator:a39e21e1789b9a584349710b0de2f7ed2"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6baa055756ae6499664df681614bf2ae" id="r_a6baa055756ae6499664df681614bf2ae"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6baa055756ae6499664df681614bf2ae">getChildren</a> ()</td></tr>
-<tr class="separator:a6baa055756ae6499664df681614bf2ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6d16c9a3ed2dc01d85b2a694fd2a1543" id="r_a6d16c9a3ed2dc01d85b2a694fd2a1543"><td class="memItemLeft" align="right" valign="top">torch::Tensor &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6d16c9a3ed2dc01d85b2a694fd2a1543">getCPT</a> ()</td></tr>
-<tr class="separator:a6d16c9a3ed2dc01d85b2a694fd2a1543"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5174291e0abb0d10ed69d5184f7536e0" id="r_a5174291e0abb0d10ed69d5184f7536e0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5174291e0abb0d10ed69d5184f7536e0">computeCPT</a> (const torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const double laplaceSmoothing, const torch::Tensor &amp;weights)</td></tr>
-<tr class="separator:a5174291e0abb0d10ed69d5184f7536e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a66baf736f246963b0876daef9ac00f62" id="r_a66baf736f246963b0876daef9ac00f62"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a66baf736f246963b0876daef9ac00f62">getNumStates</a> () const</td></tr>
-<tr class="separator:a66baf736f246963b0876daef9ac00f62"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a04afb5a8c3374e85acf2599f68dff6dc" id="r_a04afb5a8c3374e85acf2599f68dff6dc"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a04afb5a8c3374e85acf2599f68dff6dc">setNumStates</a> (int)</td></tr>
-<tr class="separator:a04afb5a8c3374e85acf2599f68dff6dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4ee48bdf365019ac0ea17219b9e673ad" id="r_a4ee48bdf365019ac0ea17219b9e673ad"><td class="memItemLeft" align="right" valign="top">unsigned&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4ee48bdf365019ac0ea17219b9e673ad">minFill</a> ()</td></tr>
-<tr class="separator:a4ee48bdf365019ac0ea17219b9e673ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aebf1c752f75718a25180d93324cfc2a5" id="r_aebf1c752f75718a25180d93324cfc2a5"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#aebf1c752f75718a25180d93324cfc2a5">graph</a> (const std::string &amp;clasName)</td></tr>
-<tr class="separator:aebf1c752f75718a25180d93324cfc2a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab1dc0b1980a95a56ae296c55b90947a6" id="r_ab1dc0b1980a95a56ae296c55b90947a6"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab1dc0b1980a95a56ae296c55b90947a6">getFactorValue</a> (std::map&lt; std::string, int &gt; &amp;)</td></tr>
-<tr class="separator:ab1dc0b1980a95a56ae296c55b90947a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_node_8h_source.html#l00014">14</a> of file <a class="el" href="_node_8h_source.html">Node.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a6a4e5b42954ba503102c48806407ab1d" name="a6a4e5b42954ba503102c48806407ab1d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6a4e5b42954ba503102c48806407ab1d">&#9670;&#160;</a></span>Node()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Node::Node </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00011">11</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a0a6ce3306c7540ee96d52e7dfcf1a46c" name="a0a6ce3306c7540ee96d52e7dfcf1a46c"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a0a6ce3306c7540ee96d52e7dfcf1a46c">&#9670;&#160;</a></span>addChild()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::addChild </td>
-          <td>(</td>
-          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>child</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00039">39</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a07235101e26b94b219cefb1e8499fa85" name="a07235101e26b94b219cefb1e8499fa85"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a07235101e26b94b219cefb1e8499fa85">&#9670;&#160;</a></span>addParent()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::addParent </td>
-          <td>(</td>
-          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>parent</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00027">27</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="ab3fe743739b7ae1f24ad02af7e4baf61" name="ab3fe743739b7ae1f24ad02af7e4baf61"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ab3fe743739b7ae1f24ad02af7e4baf61">&#9670;&#160;</a></span>clear()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::clear </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00015">15</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a5174291e0abb0d10ed69d5184f7536e0" name="a5174291e0abb0d10ed69d5184f7536e0"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a5174291e0abb0d10ed69d5184f7536e0">&#9670;&#160;</a></span>computeCPT()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::computeCPT </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const double</td>          <td class="paramname"><span class="paramname"><em>laplaceSmoothing</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00093">93</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6baa055756ae6499664df681614bf2ae" name="a6baa055756ae6499664df681614bf2ae"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6baa055756ae6499664df681614bf2ae">&#9670;&#160;</a></span>getChildren()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp; bayesnet::Node::getChildren </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00047">47</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6d16c9a3ed2dc01d85b2a694fd2a1543" name="a6d16c9a3ed2dc01d85b2a694fd2a1543"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6d16c9a3ed2dc01d85b2a694fd2a1543">&#9670;&#160;</a></span>getCPT()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor &amp; bayesnet::Node::getCPT </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00059">59</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="ab1dc0b1980a95a56ae296c55b90947a6" name="ab1dc0b1980a95a56ae296c55b90947a6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ab1dc0b1980a95a56ae296c55b90947a6">&#9670;&#160;</a></span>getFactorValue()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">float bayesnet::Node::getFactorValue </td>
-          <td>(</td>
-          <td class="paramtype">std::map&lt; std::string, int &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>evidence</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00124">124</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="af6518c8dae466a87581cc529384adb9b" name="af6518c8dae466a87581cc529384adb9b"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#af6518c8dae466a87581cc529384adb9b">&#9670;&#160;</a></span>getName()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::string bayesnet::Node::getName </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00023">23</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a66baf736f246963b0876daef9ac00f62" name="a66baf736f246963b0876daef9ac00f62"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a66baf736f246963b0876daef9ac00f62">&#9670;&#160;</a></span>getNumStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">int bayesnet::Node::getNumStates </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00051">51</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a39e21e1789b9a584349710b0de2f7ed2" name="a39e21e1789b9a584349710b0de2f7ed2"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a39e21e1789b9a584349710b0de2f7ed2">&#9670;&#160;</a></span>getParents()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; <a class="el" href="classbayesnet_1_1_node.html">Node</a> * &gt; &amp; bayesnet::Node::getParents </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00043">43</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="aebf1c752f75718a25180d93324cfc2a5" name="aebf1c752f75718a25180d93324cfc2a5"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aebf1c752f75718a25180d93324cfc2a5">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::Node::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>clasName</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00132">132</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a4ee48bdf365019ac0ea17219b9e673ad" name="a4ee48bdf365019ac0ea17219b9e673ad"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4ee48bdf365019ac0ea17219b9e673ad">&#9670;&#160;</a></span>minFill()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">unsigned bayesnet::Node::minFill </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00070">70</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a768256c823f4f59f5fbf828a3b406fc7" name="a768256c823f4f59f5fbf828a3b406fc7"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a768256c823f4f59f5fbf828a3b406fc7">&#9670;&#160;</a></span>removeChild()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::removeChild </td>
-          <td>(</td>
-          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>child</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00035">35</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="acd8dd14ad300bf536081cda3574c9f42" name="acd8dd14ad300bf536081cda3574c9f42"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#acd8dd14ad300bf536081cda3574c9f42">&#9670;&#160;</a></span>removeParent()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::removeParent </td>
-          <td>(</td>
-          <td class="paramtype"><a class="el" href="classbayesnet_1_1_node.html">Node</a> *</td>          <td class="paramname"><span class="paramname"><em>parent</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00031">31</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<a id="a04afb5a8c3374e85acf2599f68dff6dc" name="a04afb5a8c3374e85acf2599f68dff6dc"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a04afb5a8c3374e85acf2599f68dff6dc">&#9670;&#160;</a></span>setNumStates()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Node::setNumStates </td>
-          <td>(</td>
-          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>numStates</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_node_8cc_source.html#l00055">55</a> of file <a class="el" href="_node_8cc_source.html">Node.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_node_8h_source.html">Node.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/network/<a class="el" href="_node_8cc_source.html">Node.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_node.html">Node</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_proposal-members.html b/docs/manual/classbayesnet_1_1_proposal-members.html
deleted file mode 100644
index 57aca7a..0000000
--- a/docs/manual/classbayesnet_1_1_proposal-members.html
+++ /dev/null
@@ -1,125 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_proposal.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::Proposal Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_proposal.html b/docs/manual/classbayesnet_1_1_proposal.html
deleted file mode 100644
index 0003bbe..0000000
--- a/docs/manual/classbayesnet_1_1_proposal.html
+++ /dev/null
@@ -1,414 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::Proposal Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_proposal.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="#pro-attribs">Protected Attributes</a> &#124;
-<a href="classbayesnet_1_1_proposal-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::Proposal Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::Proposal:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_proposal__inherit__graph.png" border="0" usemap="#abayesnet_1_1_proposal_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_proposal_inherit__map" id="abayesnet_1_1_proposal_inherit__map">
-<area shape="rect" title=" " alt="" coords="238,5,371,31"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="5,79,140,105"/>
-<area shape="poly" title=" " alt="" coords="252,38,113,81,111,76,250,33"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="164,79,288,105"/>
-<area shape="poly" title=" " alt="" coords="282,43,241,81,237,77,278,40"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="312,79,455,105"/>
-<area shape="poly" title=" " alt="" coords="331,40,372,77,368,81,327,43"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="479,79,602,105"/>
-<area shape="poly" title=" " alt="" coords="360,33,501,76,500,81,358,38"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a74cb430a04f97fae86e675618a011275" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
-<tr class="separator:a74cb430a04f97fae86e675618a011275"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac12374f86c22798e152da4abe094cb1e" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:ac12374f86c22798e152da4abe094cb1e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6088404577834de890622fc1a2a8ffb6" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
-<tr class="separator:a6088404577834de890622fc1a2a8ffb6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a26024ec85783a790ac46667d735e1941" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a26024ec85783a790ac46667d735e1941"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
-Protected Attributes</h2></td></tr>
-<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
-<tr class="separator:a3645c54c51f9445a66a1ce980be4694e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
-<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
-<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00017">17</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a74cb430a04f97fae86e675618a011275" name="a74cb430a04f97fae86e675618a011275"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a74cb430a04f97fae86e675618a011275">&#9670;&#160;</a></span>Proposal()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Proposal::Proposal </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>pDataset</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features_</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className_</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00010">10</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
-
-</div>
-</div>
-<a id="ad957eda3f2256fd69c664a427cfccf43" name="ad957eda3f2256fd69c664a427cfccf43"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ad957eda3f2256fd69c664a427cfccf43">&#9670;&#160;</a></span>~Proposal()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::Proposal::~Proposal </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00011">11</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a4bb3ff09d7f6191775057193750fc2a2" name="a4bb3ff09d7f6191775057193750fc2a2"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a4bb3ff09d7f6191775057193750fc2a2">&#9670;&#160;</a></span>checkInput()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::Proposal::checkInput </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00017">17</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
-
-</div>
-</div>
-<a id="a26024ec85783a790ac46667d735e1941" name="a26024ec85783a790ac46667d735e1941"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a26024ec85783a790ac46667d735e1941">&#9670;&#160;</a></span>fit_local_discretization()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">map&lt; std::string, std::vector&lt; int &gt; &gt; bayesnet::Proposal::fit_local_discretization </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00077">77</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
-
-</div>
-</div>
-<a id="a6088404577834de890622fc1a2a8ffb6" name="a6088404577834de890622fc1a2a8ffb6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a6088404577834de890622fc1a2a8ffb6">&#9670;&#160;</a></span>localDiscretizationProposal()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">map&lt; std::string, std::vector&lt; int &gt; &gt; bayesnet::Proposal::localDiscretizationProposal </td>
-          <td>(</td>
-          <td class="paramtype">const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype"><a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;</td>          <td class="paramname"><span class="paramname"><em>model</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00026">26</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
-
-</div>
-</div>
-<a id="ac12374f86c22798e152da4abe094cb1e" name="ac12374f86c22798e152da4abe094cb1e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ac12374f86c22798e152da4abe094cb1e">&#9670;&#160;</a></span>prepareX()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Proposal::prepareX </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8cc_source.html#l00104">104</a> of file <a class="el" href="_proposal_8cc_source.html">Proposal.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Data Documentation</h2>
-<a id="abfedb22d5ee155cb593bfbfb01cfc773" name="abfedb22d5ee155cb593bfbfb01cfc773"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#abfedb22d5ee155cb593bfbfb01cfc773">&#9670;&#160;</a></span>discretizers</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">map&lt;std::string, mdlp::CPPFImdlp*&gt; bayesnet::Proposal::discretizers</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00028">28</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
-
-</div>
-</div>
-<a id="a3645c54c51f9445a66a1ce980be4694e" name="a3645c54c51f9445a66a1ce980be4694e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a3645c54c51f9445a66a1ce980be4694e">&#9670;&#160;</a></span>Xf</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Proposal::Xf</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00026">26</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
-
-</div>
-</div>
-<a id="a420c1832930cac9d5d5ee9fdc847042e" name="a420c1832930cac9d5d5ee9fdc847042e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a420c1832930cac9d5d5ee9fdc847042e">&#9670;&#160;</a></span>y</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::Proposal::y</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_proposal_8h_source.html#l00027">27</a> of file <a class="el" href="_proposal_8h_source.html">Proposal.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_proposal_8h_source.html">Proposal.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_proposal_8cc_source.html">Proposal.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_proposal.html">Proposal</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.map b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.map
deleted file mode 100644
index 36e081a..0000000
--- a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::Proposal" name="bayesnet::Proposal">
-<area shape="rect" id="Node000001" title=" " alt="" coords="238,5,371,31"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="5,79,140,105"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="252,38,113,81,111,76,250,33"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="164,79,288,105"/>
-<area shape="poly" id="edge2_Node000001_Node000003" title=" " alt="" coords="282,43,241,81,237,77,278,40"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="312,79,455,105"/>
-<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="331,40,372,77,368,81,327,43"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="479,79,602,105"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="360,33,501,76,500,81,358,38"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5
deleted file mode 100644
index 5104bf9..0000000
--- a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-ebc49cb39da6e0edf6f34e086690a717
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_proposal__inherit__graph.png b/docs/manual/classbayesnet_1_1_proposal__inherit__graph.png
deleted file mode 100644
index 58d8a633ca34b28e7ea352f0a9ccc7f4c85677b0..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 11225
zcmZ{Kby!s2_w@iuNK1!;pdbRmAe{yvJ<=!*0us{QDBay5(%mt%ba!_nAUSltXFk6_
zzt8*lFpSKdd(YXi_C9;9fKPHCaUW4Wf<Pd+k`kf{5D2O^cyEr04qhqH?FGRvbUo>h
zqL6#!zh8|xQ4k0%L{jvfl4J7Tf=hD9#9hnL(5%bQLy9)?R*8hn@W-LjSOE!t!uxnH
z1L)gqr#jN*QU>Mun)w&#NpK}4Uo(mKOLVe5A*6_YEDtAcs~zajI9ps=qR~G~xE6C6
zO6@zpbsi`<TO6uLJrJxA9C9eBO09a!lohQY^*=94cDfBuJQecw7-SQP(K!$8sq=gJ
zuFvKy7##&Lvy^7c7V+LPDMM8X>|)2Z&DQpKl_vDc)XvaUodoc}$DEf6`B!D!rjx;&
z14%9dc*<fo;Jef!?(;i)ywM69`bYMV{~lTuz@Yu#n;3~GHsnh3q%wQrkPA|JF}f~|
zTvz^M<KzF<s2pIMkCkOo8zy|^Pe?EBC=e`FWjH`NIy$ORa(jEbJ)TFzs$PAfr?g>n
zcjL6Wx=PM%MlLKYyomRaX#-{UI7<n)#-NYX!tc;eHcdE%#^a`Je$HaCA%Xs5s7{$$
zsTxaWX6E5>9~<KC`oM)<>b$$RcNH-t!pO+jHJAP}OHfq3DLVfJ$D22VggfJTit808
zC$>A2ML|#!bt@Kn`k(xEJH#_EQ3+Yu7qqm$rf-ww7!wi_#*5TzGz_wHa`bEFn2G1?
zrZhh`yWeV*@O+<bAI*}c;In>ycXwBOj)<hDp`j7=R?LwjBp~=?RuHvd-eq1xHZ5{+
z&T8CTKG@Nb>XM~&ng#5`mE5+Xv(oD0dV4xGy=PzCeCNF1fRMYnxtXpo!k3O^dB)0$
z8`SZ>#(cp)Fi>wWnGdWYu1voR72Y$N5hmRGcO(P8;!DMA`<LLL0fEOTm)z3T<tOZR
z#s0OMAQ)Px)tGpHvnBHN>(}LjgP}~xsM_ORW<IOc2X74fm#gQ@^(XR`lSMpIhlf8s
zbzDZdxxJNUvFQw^$jr_@?xeC{H|!^OKKs{GXSa)75WdI_``d`A4lG>U7XkuF6-Gmm
z2?;$!Fu_0ZP<^!~SH6*v5#AKJMYnU!U?_N|C1QYwh=io0r1`G*<`MzluiKq2H^AQB
z-k!H?!wsepc?vAmbbB_ZcV3~!@*)-cSG!F~bp9nW?0ltRurBhp=KEWV&?f?&4NeFN
z2??F<@Mo^aJ&ZUM9NvQ|0yby=KHpsqd5jjR^VHdHxBeCjx=6dfq$yNkb~)ciF4454
zF}ARfMa$#X&iQmlOihj4*x0z?WK^2dWZb`?q$zPo<UaZScIm!jYAWt@cdA0K<59M3
z68d^|)9uL^Oz?c(hFZWrcuLzNMYG=C3b-jwZ8Hic+yml<Ld0EgZ>|R8msk+#!!Lo4
zn$absrPtPbq9DnFPLV^x*TJ!@>Z6s$iok6@7tFW%*qWd7^CyB#JRDbq5fTx7=n8$p
zXS0dJ)^LdW=g*%?lZn9f^{>{}){gt|E#$p?$h348>g?tn*FyRe-sDW*7B`;FDh!E9
zZZ&0+a%3qDq=Oi$dMhgW;B;q#o|7~BwPszZ(a=*mdin%jD>~UkP7psK;GSmORNz?|
zAS78dYQq~{&PSWvT<rf%|H0*%_Y4ceSFbVeFs~Ua(H0T)26h^$GF6R?jQloN%{ntP
zV>VkEV7^cX)oJlW)%1Y0`QdjB4TY%`eIcZz>;<tn4Yx50FgV+pDCj;I1NT*>Q<*pI
z{*HTngBU_7{Zdr<ZRCg5S|`c0;dH5PrSX_A(lnl)5PtiAm~VA-e(hcqeW^mF<=}Xn
zG$5{{LkpI-nPk!QXKJdZ{g&VM@26EbLB!*sMu0FAu8FQp%54wP(MM~o^rv>i!wIS_
zmO`PvDFP1VR%_zHP;YN<ow9Y|pKEJtAGQWlX3F$2rZj8-tV+rxa$<FV7wZLJu$`0k
z+A<kH+E}I}QD+#<fysvPWFf@|Uz~JcqT;<{Mlygm(|czMeGO`0zig2gB$L0zuptTx
z3bm_&%#U12iHX}mSVD3YbMWFctOIr{d~vBFV`Eiz+_O@GMh6=e@;ArUrSmBF=ixTI
z)Oa8wA%6HY+433U)cm&o$^|M%HO;pnVEvF($5pH;ci?7yaBVSZN%i+R)KAUsZor;h
z6+^<iJ3G<<h?tp!K)P9P#Hfw}=O`#D&Qux`1(CA;{@{mKY>jZh50pqSQ1O+14fnpi
zJ|}ZL=#HQVF^<{2_j;hG#|k(5{&Fh~3lHzLUGwN*$3gSG)(%`%YQpSF87y*e+qSN5
zDU_P;y@JAH5a%ymyzl`jZ@rxrhZ-Io-QE+$sEIYAtg7h)Vx=#ZH3P&;ab_;K5+wQI
z>6CVT>Twd6Dd}AG_cf3z250|fGIMei!6tzFmS2@{X2oE^7kmMT7VqId75sZuSUW{x
zw^ub~eeze{{$LSzJv0hgl(uK9n8TBvyB~FsK|qm71`il1)~r`JXWr9@w%d<U;7Y3g
z&;Jh}9<7Cm9M2e~MI<Knrrn(|n%8YJ1VhcHOTD_Dy5MMQYk#RRmo3q1y!e|DhKyq`
zFRz<zm<QdnXI?J*@GfPowayR<9&>7731Lt{pdeO|yE-{oq5*j8>MA&vEt>%n8;N3b
z-)my{K7TVdK(*bUPjFat!l+-61CTu3=)xo5uy6a~qmQ<#Qh`blxv(p*Mbjn2yLa!3
z5#t#j@!jt(jR2TmfI{@S*<C0vFVA*oJV4!|ktC=?Vb%R@z}9NrZZY%G{F2K-BiX6I
z%dC9-6gBZYlg<751L0wiER!Tp@a;DHDL?=Lcw#$rmy&v9w=-@v07w3nlJlD<)VIA|
z6lAO8dc?=T=(w1e4NBU@Qr!<z*L1B%Yh67(J<py$&wP(ijZtD)PAvWtrJupU!66|h
z$H2=Q50V|la=8V?a3HY*z+vz9Sk4gw!OS7@+3Nb;%+~Kp8*Reo+cT=JFdC7INp%Y!
zt^R|e=zI-i6=o$QCs+G-4K^!Q-Phf{JYA*_?4RBa&pA$2W9cVf+mS2CjqH68m=Zp*
z0P1VsMx3_R>Xr{tYxx=Tt_HCK(xGXgmkLrORy*TN!Z(K>uFm#$6UEc3kHH$ao+(P@
z1&+qDWhoIpd-hE5?qY2bFGC6w3u`6a@9D8Uxl|q{vXUd4j8_r=+kWVSBJV4gCOmM7
z*y@`f+@6B0b)#FY->E9Qky7a$y>s26C8c6uM3c7vl2^Z;=BdJ@d<r@gC9XAFe$`YF
zk0t}BNH%lIsg9Y-+l~8$nH5M5xr<z=zozB1jpbLq;IS220ebahJjT#})Irlv^oHys
zW0MWfiZ34u3Z6QzaieUW4CSqsy0`{9=vPq~JBqo<?Tc(3=}%xE+f-wjh71fb2-~@`
za~B*PRRzK{MOe6*RkRD#+}v1IlEhe4m^-^v9M8o1s-2Q}n@$}Qx;QpVbKLQ>qFuJ1
z7f4O$j9^()wRUYREP5*52~a;9d8EJTo3tcEsNQdXWR=aX;eG9?z3G!=mC7q;^?S|W
znI#<BU;Us=&zvl3El*!oCR|<g0`lz@Z8qwZCK`p&(1_*C%Z!0osR>#n#QyAPm(=vb
z&w(^s@6qyxpm-Y%W*_&L%XhBq$1@a0ZIWU@^=k3I;e1sus!W($qP9LSlX{Fu(Acyr
zr8y*#D8nofDC$oUX}Q^qSnH6~_ru5b^omB*F)y?G!Zv*pB2xV&nKp#}19MsbIIb25
z+9U_}0Ez-ma3C&E()^RIcE@cW_Rl);<kaY{C{SNA{kDEi2bz+8$H(hVIfql&tn&5`
zey$Lql{l@QW5g4%t>N@{=!o@FpRGXllgZ2%5uz+oOa~)K2sWE{#yT!T2>J>{DBLw-
z%i);XnB5qx6ftyYcG0B0yo+TKr&y84+3S`)JT56ud88rCHlJ)g1!X2s|HT@l{eW`a
zMS$v1jMr0FrTW=fBYV{T;F?@u+?k%*>(-cP?)^#H)#cYlPhwgBnhw^!LC=bIK!y=6
zQHA*XJ>T?B0<4qPWzk2^1z)58(<AWCL$t;RK+P!*pFUwzMJ2+WXMKN*t(w@XIL9j*
z&n?p0@Gn$fD>&eYLu`48*o35kox9JNwvVZSt=04ZhjXcZw^m*{OYSXX2<?39Y4LCs
z@3}?fqj8jAOl@-P0>V|`^0avpKZRZaWD}K`B&^Bu(Rmn)F+z_V#}-{qUyZHRBq=6F
zPJk+zlt1C7NZXfs852*upXyuWJYm<!Qyg1Ne2QA1d6m~otJNd~K`S-<c<+sHIX`=x
zOq1<;ajiNm_M%vg;wauU_;rTU|B&?-E$~tO;@Xk8Jr*+dq${mf#WzUT%Zp#3l!OK2
z!lhcbnr)s=4xOs)(=Vphckpok8A^mls;k;trVR?D|8X_{4%TCR$Rrd;9q`f?RWo8K
z6n2R9zJYav!05u2VXWzcwR?8-U^Ly$-->H1UOiXX2-#MIPa5i1DCVk$GG2+|=x_NY
zi0$*9(LkTQ>m*+h>h-^T-x?1Z8k;|~h@$#Xn*SoR{6RYN<(K8)82hr@0eq*DjM%`c
zcWA|I(O=VA58;>vDei@%`;uAt7_tC47&?pMXp>Ujb+VH`qt3;5weU7j^AEy(vlLx<
zkm+cA;C=9b8gqtxKb6Luv`(NC>u7X}{P6>`>`bWP544N24V7X$RqRn3I=$aS60O5c
z<L?fCw4wf73}wgK$J2HGJstY>D0=LWhu+iDR?FM?^Q<t@q_n9%<7kVHR}u<yD=ChZ
zN?R{n*RZ61O-Tyw2jERv*T=ln4N~vL_E2SOz0_4Vlkdx7`R}z2GTMn%o%Xq({lc&g
z>P8iFGHjaYcvlqE+bzGO)6~H9-weeu!g>-c21JD92LawyZ>h1Yv0L?WR@yFgH~$>(
zI}Di^$A8~YvF^IWMW-}5&s0#3Lq6}BPhG4y$`pjDh0>e1hr#{sQ<O8*0OlX3zRNeG
zM4?~EP#BZfdFTqInel3OS~2v@(a+8O`{1+RFh-zovJT4)y}hSXHpi-eKvbta)jI@z
ze;8SX$GAe-WC;vEYL1J~yMh1fbT|*XrMZXAWYIh3tXHDo@Yuk@Ah*Nsy6vF*>6Bo3
z^rnb3?y}6vSzG_yK6!)7y-35Ht3B%4Wqe2^ToXr++Sa}c;^9DbpQmA3R>tfRl!B6j
zY1HH9`K*v%*jO$1w30`sXE&92B`QevI9h=WhJ3>EAlG9v7Ey>i`c>52Y~)w(2|V3A
zfgG+}nGvi}6kS$JhA~O+W*;NZGEb5Zp<W$jx|?iTcom{VYa5zgBc5UFp+{d#&bJ8F
zNz)#2cJ;L6$MeRj+BR^$|Lc(M!tofha4?`rVIl@;#7OL)ix~8xdVh^^6698Ff}RbU
z8%_Lpw;5lfe?$K|IO*!av~CrL8L$AiVg1E4?D5BaoNN1>XD2D8`Sp;K6s*xvI%<Ma
zUEP!-!U&uC_+%HNjmUnMSgKlimf(1imO_Mmp@-7lzNA+=dNG6c`PbMe7%492Q*Bp`
zyjkQ~TrhKZI!U)hxdn^%>9f~!t&|Q!sr#&Cq=#B&IHr3|H$y*~7~ULIlwm0heU#uV
z)zzwX>QAzY{b<`D$Y?1Ynr?B|3>#NC!p$A3C-<dltDR=AXiu`LQ->}@q3bgH@&^43
z6S@rdRj3L9+l7xzKgip{uAvo`uT}5rDetQ;hfB$nEQ<rn340~9P_fn=>R2@|)t)~7
zTDF>thxil%i+-DfW?I(A5)l8_F|~`mqh);B5)n!E{-oAw_eD3OpZaTC7~V4ntn33X
zUP6_rcIQGR129s^6M1>1Xl!8S&F3S5hStrqq##Q(O#Or{40VWdWqTU)&BEM~QtV$x
zCj!TZj_z9I9yU|uGRpGlr1Nv0)h&`btnW3l!+$MANht?|g=>1ZuGM(rc!}yHq@~pI
zU?hz#hK@wNo)2GQ_x<MOvgwyp)A&TuAPHG$+UZ<%a19l{CwwfZgl{GLk|;aLq$w!-
zfZN2hp_#U`Exa$m?z_anc<=dvuAQtV876zyLV46zT8ilp5g)+jNpluput<ofy%oE_
z)XkU}+_RyV^{vs*m+`4%^g~7Y1~Tx!9X=*@W@+vYF>vR-&+A!`?SLCqarRf2J^B{r
z)9r-T@6qrisz$7<FU@nJWoVKbeISIBvGGY1j|_}>E?uTB?!>c)CV^HhFHszX!7+HA
zsy};XJY!Sr#M$c@tldnwRXORmf0hLMgB@7~_3;njv(KJGwpEx{Y_5|&EQa>XJ+d1(
zhm<4g7(=4M^e__X7enQlEI>(}Fd54U+K|BK*HjxcVjrg9^;xme4BTkm*P!2HAzk%S
z%6Znn&6xfoARx{VPYsQe#6O<K+}=qbJD-k0j&jb8+)-Elg1wUD^MrMxYu*<|lf3af
znwAi<PK%HSiD)80hY4k+vy`H)-zfw&pE@u|@C21ow!!#R(8&ZI{zSFT$tyK1d;IsC
zj)Yn5%=%t@e&SKUszuLgHun9UFAD3!NZjYN?U$DoXCX}t19MidHYAZxNgw7pu>AFu
zEEe(Sy@px*W#=4JMT}^&mmtUoUrfzmpE@HhgkuXhS^4}wXB|InCD5;>=k8}Yx0g}=
zys|H;-~Ij~tYs&eI+iV%^JC+a42Avdp1AxnDVOJ3EG$XLW@nGQpd8E8paI&zdbnud
z-u^eyV}q<psSp>{QBx<f<rdL4puQNI$KS1v;9QE!yaKMy_X35QOFX@Y)(`R@*1FB+
z>%Epqy`nxm*eQMfNjYolXq99ql^V}`{UEhavd<=O_G1*Aa?yVs8ryAqkB&b1BThTk
zE&6uN%`WlpWlYVvS$epbI-~>{tlaw%Q$H|S%(lBUztFJBSz(WD*}+VttMkplQzr%&
zutuK?)JW6yzV&E9|Hs*CV#X4%XW@Qm?LRRJBKe@f#|QNTVdr2Fdtbv7MOi3R%U4gW
zP=9Nl{(#aFKpkqX^c^%AZ907+D*qKY?<!+=ux#0A>HO><Fsi9A`9o{d56o<|M)YDh
zc7Tyi!%z2b13SV8#JVv<am2o!E>|gAmw2Wy*Ur<+G_C3uOu{da=D=_rmcrs)orOX#
zhCblGm^23Me5qHQ?giauGyIEfZnp0Ey-^lTl{TG{wQ`)`#O)?ufoWyaHgJH9P}wG>
z7%2C<oy%5MO!>FZ3H*h(*X5z6&&PG2p>$6s%rJL(+l|iCwFeRCaCr~mzHtFQm(2nj
z$Oow6q<oSy+B=PD^C$ux9irmRO1{d1C+zMLKC`t)ZkjJ?npH4%$aGjS*0bz@o=60I
zS>0VDZYaQlGs49oRN~ze<3XsKVh_vjMTUlL)M{2EraXu_I7&Bx#DiGATeYfRC46fe
z1f~sGN7e;iBrT*OBEGx9t1)b#>dm^T=`EA$j5k;!@_>zG1L1hvyb8+3z*kRI=Us)?
zsR&&5S+M%V6U;2SKC6p%^{MHkdUeEh%8X}4H*B?zKea$5@~q$TNm8@uQlcU;@jAf2
z_{FUA5+AuW(f=xx-?PW$fv+>wUx07_Z0XZ;bi0E*9c_L`LaWEniGV?G+Av{V;_=&y
zczN8+oDMqAhl5>Bn|I>GHt;~ZR>M@846|sVHR~wt=e?9j`*%!7_{QqVJ?TmbdUmI8
zQe4B6$XDO=8s-_<$1p2CR38tYY<F(&#hcV`k9AmQVx(9;{_Gg<-9g|N6H```xV9Lo
zs4N1~Gf1W1C-05rqqZ%&!a?ifp5I=Z$u(<*d%t4?Ep8#C<m6t5aZZGrA1t~u19^0d
zaNhXhdvf84bh7+4<p7v>RdQsyVV&fIa#_cCFYu=VIN;GR2uF!@M&IAvrjb1D&)SiF
zC%<p*PA!l8>z-ac3d<-pa;S&r=dHbXrS1P(q>BgB5!>tBx2TF-$b>`H2(<j9(+KWW
z{_Qxcmzan#WKS4}#j2S4wp#UttOlEGS%vs7I1zdyk-5F20E4nH=pO#O6|{UMkmT<Z
zv6)+=ukeC7os3rKfXQ4$z{&!TJExI4JO4d!XGbqpvk!q!x*zoGHeK~ZSNj9_d+!Gi
z3fiPDexMjOgKv_&`M*{Nt%($4g?~%)6bgM;47noX@kk$&oEJbFI0wP*1RAwRFKd&-
zT0WtvqA_|^VOmAX-rS@!Ow3v3mxDvzAf0QV<#bo;ubNhwa&T8NMt&_ylmf4U;HW=k
zXal6cp05}zHbUtZqDWPCKZVRnN0odj9FF%%e>-+V=F@jG&D&T~<{}`c>`p|qPD&_@
zUTwfnQM~4p-;C@SRMpVuae~2lYZW-5j#pl~WA+!yRNP5;q#TE)%eQ0YzV#wIbWwQf
zBz&0Kys$732`=`*JF7DOafIlLJgpyNb@s<C#<;ppM9ZEG>fu>pSZ;yn_X11x&@f(z
zauzBEBt-s0h7M^LMjUbf_F*DT@r=%dS`~(%6%uHJ`;4k!p^fOoTRH}QFC#DG7JWqP
z0AdkO5)Mn>@1YYSoE7?90oH-GLDT#Y2V)lVIh909sSH_o(K}oFlP`?-uO23To09P<
zUWs@saBK&gEi6o)TS`8)j^Du_UN7*i{jcO&@A_=G`a*DrH(X6Bu{Gr_P}iXITx|XQ
zpfu!L%SePn#T_x)9-9&nRf=UAG8>)}NNb&EVy5+nv5Pnhh$}-AU6u9Mh&q-MJ2dHV
zpuR~c&_fSYW-9_7i}1^dIq0jQ+F`LW;`AEw-<y63Rg0mL%Ef=HM)BJop=k?LkQc+~
zr|?FOMkR0v#r+?&dcIv2AXHgvn?qP|VKh?ze&t8kGu0VF<>KE>zlbTW9E@q`bK6<!
zY%N@sb-Et$X}4_YrswQ0kB)wSpWD^RWiOEdBLl;0geaVA1Pcr2qII#!2!9t}JxN_o
zd9H^_Y`s9;9KK=T5SJ7mPmbEKx^G>OxRe}1>Aq2$JvUG-l=O3e!mWHFBp51veX_k4
zVH#P#UxD}MX48z?R*jNJVBc)KFvxBxG<GtIae*+yI&F17sk)VlFJ&;cGd=<gx?{)^
z>b^Nt;4eS^_1PSjv6akgg_<)4$2pWZei)2{iP<tVH1wfkiuz9r*S{{Ey}0ZAD?U)5
zKYvc8aDGXL8w{nV;xh4`Fgfjp=Ks+7MSl&wz{xE>{q+hEH_>A&mj6%$BVFMLVHYM#
zG^V$YbgsS$<$jT>vmljhI<B->T3maVw_^b2e@{ikB_uGxl>F$zD*AkHroxYiQO@y%
zJUu;qyg+p*qw5pb5E$WGQ{(w{g=L)2B$i}eXJ=WreL^x_`3oS8|9c|}a1lvtDbs<2
z<Ns$GrL?L<v|$GZZJYfGZHS?%K`yQ4>wN(|eSP>^sK8&qA4Lo)DkwPa7S&8wf2T4U
zOitJD3PsW!U|2X&H2^r4ch1gryLMo~LM~^SMnkC&dlRAh=#0|wA{JLC+YivuIShJ<
zk?aw2WN!E`h>WchjOka}{Nm21ia1P68<RK;9z`+8uI?0+*f++3v2OiAQ(viW+uwzH
z2l!6Z*ftm-J{mkCCngpJgVVobIWVs^W4HVnQZ}vr<BdKfQ{i@f_JWS?2cTZ+h1pye
zurM)oz)T;^H1po_ITs<4XVpZsoi<3^Z>uiEz5vpJt?A<TuASuh3X@{?aJDSfe$(|n
z>NT5I19?zKYuf#d(Ug6RX55`+-xS~x)M_nPXjnUUXKO5AdU|?3=PqDE9M5ONP|~1a
z%dwZ{eig94P+#%2=P{C!0@FrG7>rR+FgYjHxwmQ|na^gr-hquf30EIS+x6(-?bWIN
z@p=z$%Dv_rhd)0ank_Y@oSdA{iO|9OxB(**g@%C_&3wkzd=m-SMx_gf;zvju@!1%9
zVS_RM<C;ZhW?<zk)e^0@m;YI(YD$Y9491Zob`WT#F6ZW8T-gWwqrB|+B`rTJa5Bf^
zc2`^QV)>_r{fq&iw^H924Gvcr!4@6YaHqJjNm+Ex_ZOzkxPfJwZ;r9S66qNjI;%po
zb_EN#Ct*2b0c|TSE0(2z$pCS;>8$C9R~@<E2JW&B45z<4S@dvGyT<&<?o<g|siwhH
zmdN~Z%o5yYi-3@l^Ckb7GZ+qsP;#}#2eL9cf$=aZDr%|Pqs;)hoG3s7y>2`i)jJ1l
z1R(bwgVAj<2P}nO%--JKM^C`xPEb1T^+t)uEi<4Q7yxSow%LAq39M{9kxv3_pJzIG
z_V@3%*4EYwMB2R!pgwE2vy&jTfV~4mScB=(_qpnkMi&S3h9hxRdpvgY`C3%6#-NCZ
zh<AY7xc@|<Ecv~_!Rh#MNp9}TMOVZCYO}u6uA;52tygR@pn=&v?r!Loh@~@5^URd1
zgaOfIie%qp;@MHU8x0>mc))J6DYM^rt~F&3D36Ul7&NwxsR9nKk(?w5GddI$6z8G>
z(W)$Wxde`m(|hFK0qfJB$W_p7Z?NDuS7q9z>9Ejowl`Nc^ICYr%0bh*FP^P_VX!@b
z$auDr373ld>&4+pW>ywTczAfrgsQeI;4{D{c?AXZuU-X8Mlq1Q%=lbk=z22p5%O=k
z>?ht6{^15En;$=ZI08;mbICE){mQtwcJ<M0^>^tYQsVJfTM!8L52O}=^#btGUh~;A
zfcHX@kw1R^)LeK8NC)Ps{@s%1)U~d#Hy~|ES=1mc*lZ1Nk<9WDi92p7;3JXu-%Kz%
zJUzARz$<mTwy!puX$@j)Qu_)|27J;8;28jpNDJlwx@6;Ow`6O8XNl#W<~I(rYH=o5
zFMx(oa19=f@W1Nv#`Nk*feVXOF8hCKi_W`69BkDaMKC@-zDhvxjekG>=9a&BDk<9C
z-~aXg?)Kqe8{jh&cr3K?w(>zXAnBg#gXZ0;;>hvptIt|l3w|i6PMZ{wQBh8(6RONg
z=1*Z0FKV7^Gchrd>+@Q#V<vHbr(<I3nc%s-SPMe{-qUKe9m{@yUee5rMZo@_&UmhT
zp<3CG<m7p~Up!{hZ^gyYf1=~kfdKsT6XT6uJEmN!U=QGc)GEIbS~TBsW8hIQ1J@XU
zL_)HxfSE!7hNn(XQdZUgP&U-UuJM4UFZZ~22Lz?ENdn+!GL6Tw3pL=Qry+$%Or_=>
zRyJRmf*|>F@c#|~lDciaM~f~8aN%n}yBs1AYe-V&EZJ^vwyImKq_oNHy4+%^3H8A3
zYCESt9-7fIRBm9vCSnid3F2W-2Y%uUcLxwL)^4S`_y+|s+cf7FR!`PH5wNfA96??_
zzg19sMNCE2hh)n2!-P7&*DQ1bo(zfV@`j%Qc6hjPbRKrohaJw_3|Y0|^00rO<pk^Z
zNlT;QS#;F*vavZ{m&AK2*bR(w324;>?(dW-{C2-V&VitRURC5Ct7?3%>)F!s)^ISn
z=VW_Kn)-vvW7y=28lk-lV0j{9;&l`L(6F$sZQEmzJM1RoFXfVX|A4K5{pueqHj0Xi
z>($K7l<J~E`r_D(+WiSHuCFVsH>AodDx5A>{0Ip_9Fhw;b26(Gz7>^#!M65lmNr3j
z$Ru$OD2u0VrFo<xspBkZG9)}NHo8c&R`BZT>OM>q!fqA@0)>EpfZ!(rq}|`8U@|i6
zK)C=(7ILW`-&{g$4Uv(reM$zYN%onT_g;+sfRT?6K5k8WPNNA3;V_{ya$HJIo%vcT
zTab7CxA}FmDhIR<!`8O8oJ~zlGO2>_`K|ogtLJq7n4RQEQp`VkRx0A-uHry04Ail$
zE*g(@q}l-_w5XWa2+#?juH7B$ZBLic12;Vf*<D%5sVX#Ls=1N({j`Dw-~}R>nlIA*
z_R8x1_B^iM?9dDe7bSo*w&@^It<`e)Hy!apIu__n)Zo@H0A_aTm02#>O~LQHF0ZfO
zSg%XOvT4hKG)7wgbNN>+2nPPs=OC<sBB8p)3e@P97*(wvWC;ekfPTRAeOqc0f{EO6
zw)x`Pe2??c-2_D@JS9cbB!NsHNJRWGg`7_y*4LegJ3^Th{+P)kb(@<DE1+UIIzMMC
zzc)&AQ(2!g(7is}%P^fPez<tur+sHFzeXD<par<fR~mB43RJsKT9)qb9FRDLtX(Z$
zXaWBIw69*}_umE<z(8~Giha`*<h_Q?02lCU2r28AXtmhMoE`17^73+|Bq6_`c$Mb<
z0^|OoON1BbWRU6-_(9V(Ilt}8fkZAeYm3UuF4v8msk&bIxg8^?Xgiug3&00gf;CCh
zd^HyQ95)~7`ht-$Dk|zHV3Q#rLD$RsUV}`0B6ztTWj0qm5X0*0>sxnL4>}`qE)!yU
z@!(%_Dg4DrZ@~h;jpq{j;XSc-OOgT%rjSs|lE-~Yl6hUgoJDgAXy4e42B|@pVcy!-
zrn#|6vm7_&q4@<^5Oe^7i2gUhPlaYr7m*eRgliWNacnO(3IN$o1IYY&AnAE{w$SV$
zf-KH#jVB5L8%72OM<87+mw=>2$<=3~L_3Yf{UW`^1(cSPy}2pY4VMq!3mrUn^#}+F
z{|KGWe~^*E0sT~tL0{~PeZ|GAXoq(~j)yvVJ#qh8k=tTX28d7qJdT%W(|C%9P#&E(
z-=`q;B|yDY8(A{?x2o70iLFnOF^CPwPVM_EvM5GaHc+$xLO-|vSO}Pqds*0meGZ9>
zWqJ>5mfQuJ@2;3Z1<M480CBxJ>Y^5O96t5iS*Yg$yOT-a@PX=g*51XVq2nwAbYS^X
ziAlIJoc;lzVK}Ii;efUFefGiE67aB~G*R$c>Lkd{8pL2N104k=J7y`+TY)xE<KM1q
z688}(SdW2v1+*iYB18-_%fR#oQ^lGOFfiVL7BpKfrPq(fT|z~L6oORYfaC&d4tPtA
zKgdKIK==clK`Y3k?TG?1a2OCvlmwx`XSw_~BCX*V#T}#@UD`)c(Zk#Gr3%+eYf<kI
zDxPu>9@ck01=%3)0}-o1Y@<N9v0u9uih2}XBb>r(^&{hB7*b3yS@`*bk`i&8mb0;!
zh0B*T6GOM1(JX9mi_MXbG<G3a*1XjHsX|Ftr@L|WRqspeVlt{HhRUP2gf*t!&KEv{
z_Bze=STbU$K`V~iY?}QQ6e{1l3*sdjz;O@Amn=|BfI{vo!1c(K6jo3;N9!FdfUqJK
zT%-Z20V@;=9WDI)hR=H4-`^i3ku2o$sEY<Wy8hb;U7l)5YNgqXf~%|R*PDx@$e5TH
z_Vt>`mg(s9GzO@5B))yi?N1R<6%}>A+Ga#~{^re?@*sdp1JGh;#WK+yAGYC31LR)^
z)*&N|0Jx@64Bw<w<-62|#k0Rd$E8&IcZt+^8T3Xo(b28i@^1jvJr;;L0w+vjz{mb!
zVPT-BdN-IRaxlyI@}&f13I=NQdU5@JB(NdrO94*K$`<=ekEXjTQ$oVB8M6-eCWiwp
zr?VNO4!tso3d4a+yWL3+APk#=Glc=^0Vo-5FNekjC1hlxK^qgt96PIaaD3NvbaeDk
zZ?Vp<05rS_P<>zj=n~<L^>yMrdf<&%e}BxGW)BaqHK%-GV0eef_;|H5%$*=`Gv6~%
zDUe#4Vl@*}w<~a5SqDF0P9_3uAHr!i{mJ=!pA{_H`a2ON<*SmWE0esfl5EZ0CU9+k
zdwctKYHkwQPR^oH*1xNSEg%+%1l5Slu|)7(H)(*uX9xlErrofj2Q+?~2g(80hGNWO
z?jJ*`na(yZfljawh#)je!k!AflFLyP6$R3W7vS8(THOF@#7y<~B+z5jwp@eH+%Hxz
zB&DRRV-&Ss#4yoWU!52OwME`1rw!ejIfJ28p>ps&RFX+5&>kTh7EoWA8!VKinvTbu
zw}d=0g_X0`nVV--(*D`k|C_6U0dQcUpr9ZL%&09lX{{>Gf1!Oj0ib}yakXiCQc^{l
zlHU4qBaX~*0d$?<2-5~Kw*?5pq^a@4&!3CwcE+Rj6)1^H8lZN_5pUtC6vWu?%{pcN
z3w(r!2gDxJbGo%LlL7}LS4y|LQ4=OvAeTYi+5D}?q!Eief`ClOZy~blF~v5e0U{;P
zTiJkYB%+|$E@D?=%{Y~VM@=#+#~9xh*3HizD-(j!`4v>uMgE5Ttja|uhtaFde2$_t
z<+!OY|922Jq5q!~ac(<Qn~KN0u$?`+_Y?#%0{plL;3$9i>qur7ar0`8);X=HG4Q!|
zXZ!%&v601tjC^7JenVJH(P{BnnHr0qki5B};ij&Kher`?Cv18x@5iaIdcEUuQ{I1P
g@Bew}McmP>_CBa?W-(0wT3v{wn4D<wdz~Nu4}7qyqyPW_

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html
deleted file mode 100644
index a37fb96..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e-members.html
+++ /dev/null
@@ -1,161 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::SPODE Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;SPODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>SPODE</b>(int root) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~SPODE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e.html
deleted file mode 100644
index aa7f1e4..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e.html
+++ /dev/null
@@ -1,339 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::SPODE Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_s_p_o_d_e-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::SPODE Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::SPODE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_s_p_o_d_e_inherit__map" id="abayesnet_1_1_s_p_o_d_e_inherit__map">
-<area shape="rect" title=" " alt="" coords="24,153,154,178"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="17,226,161,252"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::SPODE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_s_p_o_d_e_coll__map" id="abayesnet_1_1_s_p_o_d_e_coll__map">
-<area shape="rect" title=" " alt="" coords="111,168,240,193"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a08349c93ad92057751a20929ef3a04a4" id="r_a08349c93ad92057751a20929ef3a04a4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a08349c93ad92057751a20929ef3a04a4">SPODE</a> (int root)</td></tr>
-<tr class="separator:a08349c93ad92057751a20929ef3a04a4"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae7162335f4ca66a09efec9eff181fe2a" id="r_ae7162335f4ca66a09efec9eff181fe2a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae7162335f4ca66a09efec9eff181fe2a">graph</a> (const std::string &amp;name=&quot;SPODE&quot;) const override</td></tr>
-<tr class="separator:ae7162335f4ca66a09efec9eff181fe2a"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a891c56c0a059cccf2f29d476b0880882" id="r_a891c56c0a059cccf2f29d476b0880882"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a891c56c0a059cccf2f29d476b0880882">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a891c56c0a059cccf2f29d476b0880882"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8h_source.html#l00012">12</a> of file <a class="el" href="_s_p_o_d_e_8h_source.html">SPODE.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a08349c93ad92057751a20929ef3a04a4" name="a08349c93ad92057751a20929ef3a04a4"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a08349c93ad92057751a20929ef3a04a4">&#9670;&#160;</a></span>SPODE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::SPODE::SPODE </td>
-          <td>(</td>
-          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>root</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8cc_source.html#l00011">11</a> of file <a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a891c56c0a059cccf2f29d476b0880882" name="a891c56c0a059cccf2f29d476b0880882"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a891c56c0a059cccf2f29d476b0880882">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::SPODE::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8cc_source.html#l00013">13</a> of file <a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a>.</p>
-
-</div>
-</div>
-<a id="ae7162335f4ca66a09efec9eff181fe2a" name="ae7162335f4ca66a09efec9eff181fe2a"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae7162335f4ca66a09efec9eff181fe2a">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::SPODE::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;SPODE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_8cc_source.html#l00026">26</a> of file <a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_8h_source.html">SPODE.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_8cc_source.html">SPODE.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map
deleted file mode 100644
index 136e08b..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::SPODE" name="bayesnet::SPODE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="111,168,240,193"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5
deleted file mode 100644
index 3e45214..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-a7ba010489f508859de8b2a34852703b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e__coll__graph.png
deleted file mode 100644
index 72bb1578a70a11e5d9b17cfe9ac7230449d2ea2d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 11682
zcmch7byU>f+wF($Zj=<!FCicy-Q6lBAl)4zlA?fsfCz{n9RecVASvodcPO0#qBMx)
zedhOj-+S+RZ>)9yxl0!e!!UEsbDr2|?;WM9twKV`NQfW^iJGe79R$J9g2!L+ap7x5
z2}VDB!?n^-QA94#|FT;O6A^?JQB#!DdzAirCcu>X;9O>V!rrox(2GKM=yQdxT60dy
zEmpy#(cxEl>+8js_rBigF*l&K{qfJpPltkQTh|g3ql${wbGz76i}1}7USv`$eQfA<
zZTxLJ+a?nu#adCpMV$O+Z)bkT!_Ho2@4UCaHT`cdKN2H=qPPB!FXMrcP4@4`erhWU
z8NINgFD7IA95p{bU-QgCLPSKQhHcWeFHt_Hfq|NOUt`7ZwJ)EdVrV$|oUqxwm^TrT
z=a?2M3N?Kv(#0{64>40r{mg0yOUS9IM+Xo1?dlpD8gR{31~R1<HaBPIH!QVGyu5B!
zRaY1H8FuOtS;q*QTuzM<u)`(QLeUFiMQ~cjym_LKD1hp1&*`GKwrkiLZ1z9kqP<~y
z#OmZI!lBl2`ggDRH1KF4BGyZS7+L=DV{yiJ?n{b*H90+fq?q>)R$<|>BY!zLj2{D8
zal^yIxc44wYm=gX*xmI)+7C7+C>R)`*47--CH*M54a;0!9*78+dd}g6;1JQy7nirb
z7rB^nZ~NjqCmcIvDtPlI<FD$*t-;>T&i3(A6Bb3@s@;QwaO2XliK+w+%dz+Roqc^u
zX(Fx`&d$+9bT?Q<MH^5V>vHPa+RAgSK@==3aXU+2trtH>9sRDKo8Q<#zX(Bu7)cCD
zjcti*@k*PUFGod1z2qQ3$eEd6goR;C9<Swfc6EKs*GOixY0=Vhp8kU|AI;a=o-XF?
z@pH6@YmbacJS;2txJYi?v23c|-MTMTm}K}6OG=85heuIPPA;~5<;Rbwk-ct$GBR^V
zD<zr<95yyKqsP*rA45)0PyOrtP7YliYK^O%h=_<j4d-j@?0jXpA}-EIbxr&8kG`~G
zUPF_)jh_lyKIgyPA1k2uK}Q#nY#z+8_oFY=xK#P#{A}lVqdcwTkJ-<6>%uxZI+rCL
z64%w$At5z2LcQr?R4oC2P~R%8oloQP>INu~?(S|~0|UFN!-BHf-zQQ5ho66aug;m+
z*f2emE3L+)U=tRu9TzOBs;a`3ut1n~9ey78hebqu`t%8_zrR04)RP?|hOlyS;?6Yr
zM#RODNlHq_nE&cZymp11Jy-n_llX)7KXZ@C5LI>c4(m9nXD^r}I>yFm;^X5{OzvF?
zSJx(MxdQ_O=hxSxmcGVeHF$qmUR#UgYdfWMb93|X@%d6=`AOHv$f2rFI_Q{HP>^as
za*z1@p!_igVo+lAgyM=a{YF#32Tt(}QZkv-3eOL9t!Y0)i^LNX6VYe<C7Mnl=iTv;
z>r@>H5iQTV%Cdmcyt;|9`%Splu3d8wV#LP9UF=Tcj*N_KU(I^_!oBq`?iH06CDnZO
zZZl6~V@c{<zGLd>3@Bfkd^Bjh(R#5E!NShX-LtH#88jj0zwgj|aejh?BqUIZii%nc
z<tm{biu-QHWIaA-K(?3SWI7;F7#J8HUS1u|etQ=D^zVP`5D*aPJ4MCBgq4@`4Udd$
z>{X^-gL>90HMkqZBomyD=stQRy0W}H2npKN(-X~p<w{iKJM*^SnxK=12^>-IH(eh;
zKB1(da{T&&X?bx`-njI2WTcgqRp-!9yt;-)(Ytq%;t$qjw_5%%)6mh~b#mhJ`8}Bg
zWujtOX3A!7Z{IyIaIMrpqvthm-p5cpDvF^bZbN(|{MoYv<-8n7_1*35YzPI)CQVWC
z_f-A0Bz4<g$?EyJIx=T9D8~$K6~tk(#<9j>h~0m$@7DSo`%E@6GO`aI3r}~XY7b`g
zSTx5Py;rsGT&G648l*w$VaodX`Ta3f399qHeVc-U;_uPXV5U?+WTe9qDpts0FkAfO
z&h4d_YznIRcWyg6I<_3%sx{Uk`KwC;-`>1=bMQW2c=JS2@%8K1Zw-q75f@MW_51hw
z@xg|oqL4L;n2?ODe6PAKAfqRluh8<-GYX0!SgPW~hYzXA$z>H4+s==<#l*zowF~oL
zF;%s-`9UX#6co4p{l(Fdfs)sEeXOpo&MqM#!Orf#QChz?q{5P4Q&Zy~R7P{dtXb8m
zR{X<9dBLk!zld)2-I{xgfrb0>qeZqx@{M>7wO4Q6s5#Z9PS!fB+`fHV&)8V~#fujx
z5;_VBIYIk=4)$C~zxd)}?v<65c;!5{SY?H1THf5-dCEguZ5P@G1_m`&UkE?=Y|yGD
zDB9ZED(<&26)q}pu&44{Vz%t{OK?s#pD2`QC^<-9obK%(PPvbmxVI?rHE&}!HZ_e*
zH+n}!Y99V8>I^hAO0es<BkP*uhGIfnwJ(lcRzJv(=$Ugl#l*#xPl%KcQY%yo|2|Q?
zAkt#bg%lfsb`bT>$sx76Kbnp&p|(~y>GkV7HZ~l*Min6?rKLp`6)z3SOx1F7augN!
z*9)@}l9LUSjA?m|(JgK4uyA?V1_npot=UJRmoHylgETwXG!LJY-+Pjt>HF&&#r>v-
z!rCW)|FTI)Tp|p|lsVnTYHn^OCnpbqtn29Lz(g#ptwYrkIW1TFGX^&fzO@A0D$vOy
zMO4+)o+#(Zm7BE;wgmV-*qUWBsdoz}$DH}#^J&8TaV(R>!}gI8s^H*YQIC1qB!4a$
zmyhG)w8o|5Hfevj*x4~zg7zt-&yTDF&kiO;gHJ`rOYVj4?>|Tkx;2J(*XQ`?DEsYO
z?6%WgjauXLler74_2K+6RR89`gEnfP_UGqVPl-rc>iCB(L!)Xtk{8TUPM3|}S@eqs
z1qCfEEIheesLgic2I+wG3D5EVdMI?TrOx;(_yhzP9;-KELqbBhwhnf8J6Il{TBesZ
z%Ot&eH9!9`lw4kNFj~7-dZqL7y?gft*B|I|B_Sc+tNjZ(5zO*;?odL-$G?1u$jHbb
zA@%k3J3%9bIw}qh*E0h)#lB5WGG>)5Z*G#((a}vecz$Y#udb@nH8qWqIX}Wuh#>v)
z>YuwWGcsa*HpUn7lg&EThVo*68!&Gb<5S#qmA+0R;i9ficvDc&`FB&1bjtgYnHeTh
zQc{Q@@{Ht?f$a>;UPV||ZN~7Zy~X<%Fqg#Zy@Tph6x_WVYY&6kV9!SotQSz=R)g7c
z9-f|!g+9;1!q7v2j?e6K`xC64<wTuD2!!avU-Tkw)A)$PL>UuweuI@DnyDsENO<&b
zTL1pI)SGsTOh@W~8cN4^E-2W7?kN{;*g%#{93+ip_p5(YwY0*ks|8^~AV`z%ma@9~
z^PNw`#Kd9HnrV5ALL5g57-Y5!GyMsnzeGNNj!ChAioFB}@bU2XRD4QGBqaC}JoNDP
zR!~({Ej6^|798V5t|zH4Ws4zbs4*9O;#xX_pd$vU@wTvV2{w=->34Io-aU>@;aSSB
ze}`#ymKmDMS6FDJ^Tds{2jVcNUA|Z00L1tg_Bl8)+h~~h?b0veP5^_#{5zn6!J@m@
zV4kjKPB2hXJ}qxOCOkhsuc)f(h@`ku;kl$Nx!ZXK6&hcd70ih4P_RzC`F@%sNEeE`
z1)4>bH#9UfM8(7``_skNhVzL40T`~<eYp1LX2JJ-4LU*s0(94fCM)DRDKzX<3srxe
zpa13b^mHeTjRNfqb-vakcAvGukD}L`JQn0JWs~{L%ZA<b^r*j2P2GiRQ!CONj$sgd
z*W8@G?=MBda5Jo=q@;6hE~~kv#qsR;06LLp#&b_*_S~Yog~ONJn=PxLX-t>}#Jae;
zI!@KODn76;d8-n~jC#nWV;JLTaP9~v9m^p2EcoKgcj;#BffO1*NRR3la;VkVbWuX<
zy~@qaT~$}d>Fet|+2~!kbC&e=Kl>C)Nb6u_Gg|*(Y!oGAGS#Z1=c8HO@po^v3jm{N
zf#asQFeAx56O$1YmLNq%bgQ&+cGiF%8k}@cVpRE*hnKf&YAWqA6O-fNukWa6#iT!l
z&jtD*Py{xXmU2)a))`sO;kZrYdiRWtjbkOIYn><F2a3T&RZHMtXE$!~7skQEoA_q-
zMZZ1mmb<|lJ~hg-Rhf&NYWo4ksiN}9Ne*`FPD$0;gO)O=oy5p@H8rpLvt)D(%gstB
zL>iLCH|-_TM(DhS@&`*|{+yvq?9I%WGo*u3y}Z1b6{BjMUJVMVpq~=;e9G*%OflKy
z>mFJjS4*rVEY$b$BzSKy+i+m(OYEgv{Jxu}&AZ*)^tas7O>Ozd*B;He&oXz8?FB5X
zt{VO>3ql!V&HhQd6)bf5zhLusKAM7JVvPbD7A0M(8XCnrTlcHS^LP9HB<T}rh0A*;
zMn2rtzLNEzD8pGL-rEE}<$@e#Ae*B*?b80kcl^-Sv8=nyM3n1((P)R<aMyheZw19M
z=6#Qgw#otKhI?G8WEOSgMs^F&AD923YpxcoF5P&{Df`k0o3e~A^Y<;iO@CuT(mu|$
zFF`i;x{I6$9sV?BSR5f?rI@&$P%q1wC2#k$;3ys0NL6-1OeE)J<_l55_GT5mN@Gt4
zk=vGB{#5NZ$q^i4R%*n^jB_FDHe0T3hD_CoGHYed)^|_&!2s-iJXNwgMzVwD6l!P3
z`1s5}{bWUj(%!Wd6>0g24I?$BDc2Aw><5$;a>GkYkEM8>E))bx^o@w`)NCd1*I*t=
zJn<*M$3ln@azyPZXTSFT++7vHUgFECTHi|O{mtbbC2zJ`T+7CiV}Ig<9r(fal|v`d
zl@fx<g)|p^3w`Nu>R~In4h{B~<oa%GuMpFgq|x#dEBw98^{<+XgDxFrlA5kpv4-&-
z?)I>Yv#}yB$s9a0lFFuTy~jpNQ$KxYTQ!S_@U}(bJ*a$JKaI70<=|jj`y2W8Tx*Fe
zzMeJEJAkS#`0aIM8wcB|$-j)_=~aqzcI;rHyF-TzGIvf;CGo<fm{A931I_o{igfU{
z8B`xdO3ckMVkKhVci#x|vCpHMB=m3)@x&$Img66-OrgZY#4a_&tYXaPAAg69O+cAU
zFsiIdI5KB~aa}c#oRP_RBKXrLMuZ(z{Z&O9EF<Sd2P$%Y<l8-?us6|kdq?^jH1VU4
zlSA;Y$|cB_wjIf0tLwO%Y;P&^meDK>y5JJymLOxtR|W7beC@d<S(vzvI&;ILRe!b-
zah%Izzqd_h#RzN=y<s%>t+tl-a%x|DTP7_7whQu}*>yN0k0dmlIg5vs_VlXbRTpAf
zF4@!7e&P1_U23wg?>6>L?COn+!)B;Bw!5+nySFr{h%t{a+AUjfNF$0IvSU^%m8;4w
z7@BTsoSET!;YH!F4qj-Fbs_UxIbE&B_o7`EAT^?R^FC`492w)UVbCMLHeF)79#Upr
znHLSAC+&ajT0G|$AZH~L@>O*(l5XJeB%ONSkbP%WEuyp9i)Z?}Zw4<@gq@(3WBXT1
zIa!MV1(B2wqDE_m5s|yO@{)KR0!V}%N;hQMrwY#<-s<Eg(WhXfl`ve$>S69hIl?b7
zbTLQ1j~Oq|F4tp+!b$Ejb&CF)^F5}7jKUCyzq*>HK#%!T3@OcI2fHSwhn`#{fsAaZ
z4Nsz!1*)BT^lr{e<*+OUkILN*KF))<r}C**#dm|R8pf6qTqx@j-Soq|Cnj!%7sASB
zxsM|EytA45?aV}Q{y{+g?5@cjRlWi3{WcC?sZ!Vi(Vo3WFrLL*j)iqzw#9eT!UE$7
z9u9S~NuhViQEr#7EH0NtRla_zP#x~SL;O#^X`o72p{OWBfX9)%E>Z2Q`5GZ1|C^8&
zj*7>xpFdqezcxgn8Yh~R=2@=%DNQ>W<~J5*1)a|ORK+usW_0QG*hQ|(Wub3SIo~^!
zA_x^M+04kpW)#1D{rFwTHSjbnI{(g}#MbQJPL0l%1)dIdm_s=oy1HQ(q3t)=e-TNj
zUV-JD4WQqtXj&XsR)R?5(^s#FPnt`EE?09E!gDGRLDmW)%mDkMHMK@(D__jJMWamY
z?K8vjgqcbFtV)}yDUN{$%}H;XLwPPURVv|YVs7`MZZB3$3)dQ?op3g;<D6k<mkyfX
zs+g_?X>Fz&&4>z_<a9}N=9XR&q1vVkZ+}aY_c^%H*~#^sxc3Tj`H~?2(&AzPAzL>V
z7MAZ=UGKuDh$$E(!4|HrXNQ37G%n?p{Rq<;Fv(fdwY+})GY@&4Mp%ZWfROfPs_~`J
zYzE{P4=?d2#=rR9*W=gisjgE$7m<(jgL}bvtiGOiN6vS3bfi}Arr^w*czB3>*nS(F
z#Z}US*RM|Rusgt4Jm%B`T);O2O%_p)c5zNl)cNL0r0QicueTa2w%iilKVmYXd_*ZI
z?B%3(*8QASI6AB=UWeRMOlkIu`Nr+5Ryq@ZMWvaShbI9;5z`32Ju|YET%I0j#%))}
z-x+9cZ#TqX6%jdf441FO@jV}J6bvbcyT2J335oD$6iPZz_j)VlJRvKEtVoCkpnsyJ
zrKJ<Kgc_RmPe^w-xj89|^l8htZ{J?f($YFAF2i*oeeTF4+i~gQzOe+G!_xIrl6Fou
za;CCe`{f%^7)S}mK6@^+d}MMMxjW`sz8+T#62q2jIO^on1h?=<T-47U*i&hMvzi?q
zuHp{y+}zys)=n3-EQWPl&D9sr=-0yE(Lt6F*;0f0cn(LIkgcg2$B}+`^(_jm=(xDJ
zm!)6(up>CJ!m_pU`0+3=5qzVdRT${LPl**qzJ-T}w+crPgvcs7M-Ve4z$ZPR57Exi
zm2`4+6vL6V^YGXXM(E)#&5O)orT|lNh#hhY6r3%rjt8HZc$#n?6M=WIM~o<jWW2n+
zl{`H?H?y|Vt}7U((U59Aj3BRB|EF2L9hbayY5rB#ouXa@VcV4SFiv<o$K9f-XoJxn
z9jQHYFus9^<FhGa9{nww&_4V7BLbs_LjKgr)itPVa`Komgf8-3U7LURxy?Vm7$pQ0
zPerI&7-_LEEx(q8?kD$Ie|Br^aVk6iev)1o9&TBP*r{+Fv{`JP?CtGoospb8-=Gka
zkF@k{8OLiU375aEs3^7RU&@EnlCwugy5ZsCN^^v<B1eB$vt|zbgKDESOSq(mZS-fv
z^s~6}%?X~YZHEf!ZziPXkp!<w+%uwIL`2n|R$X$EO5ixd&o(qQofbtzJr~1>LJGsl
zr^3lkkbS-4vBXGKATL>wv-7|WHl!aSGXkk96MV|nV)i&BvOq|$louz0vsfE{Qj~E|
z)q;c|kg6beb>&8p*mueK2liE?#TaX9gH+X2XBQ6dd;pkbvE|;v`1L$Gx+!<eshlES
zJ>hNXrwB3`Eyd_C@;N3cf1&&Ml~IwcI3bY9&hnA`Y@ZDQoNA4292iEf8Q!{8Kfw5Y
z{Pk0JF{|1ul$HWVcp-+W^A{p<l()T-M@L<mJw8;=TIAqnkKLosOiASD&l4CgHYm;r
zBad4<IDU04EAVFhuJg{$j+^4Bw4mT#{otUk!pa0NFTYAlO8k*dd{R<v=NRKO2~sV)
z$&3?GnQQa<aw(ObG2b|S)wISwoZB-~a#&$Fs17E=uDqeaNj(bm@7JVyD)NH1T+Tv_
z;FSB6RV%saZGnS;Dh8#Dye<VEr!_G`UY6SyQKZUJklWUMU*m2~j`?CXA6}+cQWGi4
zh>EfxH{X(Lc;L<uk=H~Ay>*|w5pfWG0eg@U@mbb%EkDYrnqNanqeIUo#pk76=Y2H4
zOJvD)%&Mt0%tO<{;maE%FwPUk^7e}*S3-yNnr)-ABXQa(RiMbeMmnD_lcscF4@DE-
zrLU1+kXg=-)QZskTa6ozsvE~y>uxWposb;!2PYX>PP6Ks4pk?0jx|Tv?Nj7OH%*mb
zi-l}1yE@wx950XtgZHDcnE@;DUeK<0=jZUP$TU-)(_$LoT5J{!EowAw`00xLy>>*;
zp~MriVXHoq(pZQ~(|w;Rkt~8UAlr`V?X9r(YaIOUd)F(CH~lv!Af6wHC@Wdxtt<_1
za{gM)QSzGjy!<7ni@BkK{`fH~4_(+_STx^q*{a!@Ul;?~d{x;rr;T=1xiSog(?^<#
zQXXl_Q93x=xCAA{cZVb!HyZ87SL*SP>SJfUh#~SNAN#~r%P;&`uFd6sqPISP=20GA
z6xl&KJoWELcks~kUF=1A$N%>*^PT-oQ`q{?AmcecOnLqm0#-I%t9PhB_jcAf;J(M}
zCem@q?J@6h2a#Bcjj(nNawE#JT-C-6jF9qU&cEE)MZBdoT3ns?Mqo3HW2oC!QW(_)
zMwbh6|16i--oFq$qn3?9wEtmx{^(oC7}4BxzYRq}t_QNAYSH!M_F^c?>;f?MS=47X
zwzZmk>xHm4o*!*v?_)V<iVD4Pfk5)JRWP?d*UI~15?eb<az=SV<w4)B2Cq~k)wCle
z)#5C!pijl=z!kdVQMTp%ke_;3?xm=i!7_h*mci%VFV?A=1`xPD@<?P`Ipw*u<2H>k
zJuVXIGi<Cg-){5gX&hiKm;)2x<Z(UsRTLWEJ?`XIa=O@d=n+&YrB29Un^3~Vx5RMj
z^y&OZRP<5Rv~Z2hYcIO?pDOq}4Yjog94aa*jT(;RAFnHsmnpRSJe{r;GK4XCoo87k
zNJNOV&+hZk5JhWit5@>J)ORH%Jg2~lc_j}m?xg%zsbYT6CPqNe!{H_>g+Ww^!5WS8
zc?ZXe4J+YF+}QI{$<6J?Y|x+ka1X|P^5jX1pgrlGyLV&D>8PnK&QJed=jC;Md9b>?
z{I4JQ+V*;sC(6xLfFH}v%k$h_Rx2@Wtdbk=VI%{9^(sF8NvTPF_kC2*-oMp|Kf7IB
zU29YIe2Ys<0>O}S>7o>EXNQ*pgMvI4I&hE><-CvY^^0S24zrVzldlK}P$Y0*AV3=f
z0Tcq)Txy^#8y>9R2`xz$ct}@k%oMb<sPsM#n5M*t2s{c37+JbNfW`IzVf>Oq?ZBzJ
zs<~P6COz@kk4wb3$3Q_l1!b9)7XstvU;n)|DBw<!-a(o3(e{E+@ad7$Z(<hdbmbU&
zIYmWaU9q!`nQC2$?gqUtZc|j0mX<~{&WSyvby880XkNLdW_0<4+s4i=!MN0|vW>Yr
z<z6p|mZ6~`AraA)OP4ND$`6JSP`v~CIWkg@iv~#Em%w^9HZ~49m$xV@DkgGj<!*0#
zSWAd!ya0MdN5Xd#$kETA6+ybWYGMKslvgg$Koj&rEP>k?Qu~7nAO@%c&G**&>kHs?
zfiLU?=G&m$ObgV9x4PFI)&_I*bagGN`es`K63L$eUFis<wxVK9;9oEQ#i(mB2l|<<
zk9OEGfa!bdGzDbyr3drv80_zvQ~$Nmn+L|ghSj=Gy?*}uxdTK6%@Y6}w*TEeYY3Rk
z^{#7KLUp%I=0<>YpPWn;ai7(^apT5=?fH-XL7O0v>07xuU}nRny1Tk^(5I4|OsAx*
zOi6LOE%?mg<nT9&?_Fpp)>Tf<VIaUdzkCU=G3KS9`11Ml%e=fRXr>kTaG+?O%m!>p
zaoxC4FgmLD6EqRXq8DYRjq<S1S6Nv)!0^B3HBk=5Bje1K$RP-kS5Q#P8`71R$Mk#j
zXz<otpmmj2?oX9euB7MEXZs_Jg}$59YJ}k(Mggvyq<xchO83!cN^>FiUx{~CcJ{=e
z@^_w{FWKJSDLPV3tPJqv%XyQKV3q#oN1FR^2nJTC1^*yuUaAQkOUWg`%TWWzoS&Z$
zN8>>JJ~9$NRm_`{f&wV+SkwFW|Ka0{14+nHh|##lfg+Ys_&J&h0t}f;!)-7KyMnjj
z;^r=<WQQucHGb2w1KWQ!!&kFT&1QDp56w({{|+?0V58~EpinKZ=0TD4St&R0LM^$d
zqoX7LgBHvPyQO&|IbJ;wKZa_Z4VP-NvRHtC&e6TT{fSJby{Cr=6c?jLud6&fJO~2H
zN{Wyp<-^Tsf)=wlP^qkesYOCwy`l#7XaDCI5j>^xXLF{~XTt!W4OVyy%@zYEjwdN4
z1yoA}79Ocy(bt)onIm^dQDFTNT~m9$e#N_b_3F_|vibX#!?}xdIuHVIZjVU{{O6K2
zf{tg44f(upVL4-;zRIJ8JrjXOrJhfTcx+CKNkVReBqk4Sgp!hSesvWO**-iJX?2Ii
z;ggVj@g9)EgHOZ8!NF*t@`sFT@LYPf6P=Ni6u!7<bqcZ|pwjCFns1)|`sGq$Qcud)
zvQMcT$L#82m~%9DF+j6m`(Df22PpIZiQ8SNg#yY2hR>KjZIZU&7!u3e{_(~x>q$Q&
z9gAa~u7AtyBb|BR+t3uJ=9`;1MMXs(4<9}QT@SH<7y%(KfP2rvg4M;vrNZJPre>N*
zAN@l#f4jT8OHM<B!`=bR6*+L7AR3{285G1<c)0N6$Fr9&$(ML<6{I*(A+OYJlU5Zn
z|ATyu9XUKaG-?eL8!x*b4e2FUI3ia(W(8&Zt;UfG1Y&d7vx2(tBIz0D$9?M(*1x3R
zNc=zYpHF~31gUAEBOE*AhIy-L{>-~~*Q@I53;Q!967LkfWe~K}_45;3Kk#R~X@d{s
zcYIr$j9);&2nbAW4KXy}8qh#{0g7XG^ke=~P-ta{C(S-uB1v?mq-Z&ubVjp~K!#pn
z&sB=1y&cCa74v&qidT)2_g+;P5T#w+-Or&jbwLh2I>>tWGo_%&H9j@f*g5Ox$lM1s
z>Df{@mHV^98r@E`9SlI^QU=Xy?1y>N!_w~Ln^ICUk4^@EjupeGY(O1ym4(bT`&D-b
zswJ$+T>K@=kO~<86(Hm6oERCiVE1Bp_>TDFbIJQH{<UVcqjgY1>%qq+Z;D#eq7@P=
z)i;4?j89Hhxu%_-t-|aVcDOk+mAzp_#*8j20WG@+ODK}w3<<jO=3PSQme+j6VuaNK
z57HU_f`Y@wCbxN$-gy}M#DBK}{CmD`r`QQ50EgbtAllgDa1%e|Z<|Ngw=-aeIK#-Z
zG!m$JeVMe>nm@Yl>-LyiQ!56hkpOL3^+@2K4!s9gevy;JH_?uN*iPYee(fgxA_oyy
z=%5B(pp+;Ap24>KnRSs~XQU<B`<amho_S~{si4j-NrteB7A9MU^<J$s2vbNDmUtC?
z8@Y^u5U#17GGxaHW0Go({~}-T!(ZFfl>LW5GqX9=#r8&YE#>9Zl6!uhEZ^1Iv61fQ
zeorlC>Uc9>SMrQM_i(7PQ>ywbh?H;-P=zRlt=~-gY|H@fQ$o(q6!Ks~QUhTV99`zn
z(Jv8R7_{j_^_+Au5XMl4D3S1SQ`<hO8;Z6nC50u5JW$tsre|$|iK&Y`c3n;|;{Ke|
zl}f@+m7`k0`XqZht22*6!>W`VUP^1nl=}j~RY;k(zuFZth<YDYtBqbEd03n5=njV{
z1`$T{pepR~IqZ=vOn}uPL|q0u3R|69i;n22?-9mN4(C!p@YH}z?TR9GzTV4Qyz;;I
zZT#=R(Er8e@&E7TVbeGj0aTz2^M<8x_%c;_ZDKl9Vcd_JPU>_5A>vfZO%aU`H}8Yq
zGXLWTr!T{<*Y3+E%<t56bXT~!H8yV=GXW~>9Ui8HZV9N+s2E*O|7QoweDP|j?8Ap5
zfXjBKy$8DPtLJH`s>)hfu>;asSX#m|H#dK<KK$kA_z4zX_K-u&2uu<*kOO_+G(Q8n
z@MS4~YBUsdbo>WK#Sk$0`)fm=8hSz3&K`4$9nsd-hMxYczTP*fZqv-(7BEbBM#fCg
z!5d*7>0uWf08ME8*x1wH4#F#Hr6+l#<rF?_8;mm_zkI=olQ|a!O}YZ0%;zs(7?Q<2
z7qOv{W$Rvt|1Z<hq6cIyE<@W9ypafF!M5l1Lhl<v_(W8;TqrDH=L?;=1sFn5E3ifI
zTVRAQ_D}o-Gsah$^BppmxmG4cJ=+ZQ20%KiWf|Y!iMQjvYhZxO{<O5zwRQro*_QV9
zcx=5VIEmnI0Nv3bfQ2IG-8*~`w}o4E5;$HZC5=6@(Z8Ga<;xe)Z4b)0MMP++I5pcr
z$B)^A89{#OQgn7U>rykIGwaWh6sUEGfhEjs^h8F_5ZfMFFe1&58JdUZuVj?>!XFM+
z+v~V|tH3~yW$<7i2uNo1l8-7XOE)IUt-n{<g1~&~^z1Bl4`eb=;!7eWvq6?xcoBBo
zmi+V;FvQcPgBbl=n1hb@KSDe#U0q{Apbq>q<2&deq<ftjA0NMcxht{KZASdt_wNhk
zkI%S6B-qec#|k_=YZK)xZqp4<cune9L9T{z4J;SEOt54a`M0*mGQsD6?O(lm)s8~p
zLaL%y0>GmZ;JM_<uj+42zI^E1`TaZA&^(9+(xtYp5q<}F$@2GPZHkC1BQ6<p3`n$W
zVqy&CEr*PV-WyK#wFe)Z+64AKQ|ai5<(Ea(*WUt!NJvQd^39tlKq<{9n@y<plKHKz
zI3S(ok9L+&gUxAxGSNPhJe4>D0<G~tU{5LG5Xj}{6LqBJl$CKsTqna)Qs`q?WS9dE
ze|?0%8fts|n3|e;{_M}3imWUG5u~7@2?x&$GjMfq!=Qvu^*{I-4sNW#zbnb~A};jG
zv5Yve%Aufc6GKg{&9+FqxGeTGPWl)h6x<_l0#pD@;4y6=Z_mg>%f=RPI-TIh0z*>N
z-s(V}PL_0S9Rs+!z#4!hXxAG8h8F}B`|9p^hZRRQ?99MjwO?~>Ea)53P#zu_Af7?(
z7+kU*br1rh6$Y}ryga|X@M&$jQ4oAZ9*ds|jEs$QL4X!^Gvwprds|SDI(-P&6w#pL
z2T6Wt2^CQM``*3nZCObCjpOTYdV$f67qCXPgM2$XJG=eoj|%wQV6H^~WN&C{Qpg)(
z1!M*j7ZxrHhAK1+H2v^^0Irs3d<GysTaU~0=jcCc2mUei0+@=}0RaKT^!$kZKxR1L
zB8VE``ez{_h~&ZOU48Ax7#83utEj6}PQGz}9#SDDhB#fqw`^R*Sv=|B;6NDHL2CrA
zA)i2HMqlwjQ@#RK0|89|v&S<s7B|z)!5jrquVs9s9lQ~lnVF9k!s!qM5O+m=eYsDk
zeBp>bLwSiBlu_(bIt_qrv~90<iAc5&3#wpYc{%Li?@5M237?-~;69PXe*(?|v`axA
z|H04Et|J^nuB5fOHkpKkguy%&vUI5cTF7N&^Kv{~K&`=&r9VDWX{`dmu|~x(psw_i
zGKpK99_>KyEB9>dUP_0e0HA1-_G5VC;5r{)1l&VWFPNe$t-t0rG|<D9=TqConfw0c
z%q6%J;CNhX-y%IA1UJ`p9-c7m!q7WKC5OlEZD$4>MSkJEy_%2w{Pf>^wNCA$gVo<Q
zGQto2h=BbKY41zBwXnGO^wKRii>=v~M<>7QV+*sln)hDp1fc<bTX4$`{s;hZWPW}g
zfl~<tSd7Z6$jxPcm7JWHosFP<B5;4v)zb@uzQe}FMHnY_m{K{@t>Q+b;#4pxG=XLT
zoW{5U&;PDgR90dj-=?OnaByHd)iOd)L=6h%J5Q8>IpbeA|8fSVZ`u3RA3v;im%D0P
z&C4g2_SZ-BZ%9`Dh;<ipy2_z;GxKRde*OX|{`CA72(ZD>KO;cY$3prurJ~c*FI&Hq
z0uLd)VdRS!%CfQ{0=@o+zoMYIqI;HN7}_#;@N*1&3bJ6?LYq}!%7CwIzVa(`@g8+u
znaC4~!hTS_Q7d=v+=(flk(vP;0Px+oO%H!R{b<4O77FkSXcu&inN9V5{D=W9<1@7U
zIPi2Wjh#R)qVEcElDqhD&#*Ra1^WxYI&ceoLPr8jNbqTBr=)t5l9Ezqe}CDbb^i>8
zCUfB1@9GU7J}mC8^oRx?@k5pIgX4ynNt{|9A9R7m()!t_Nl7%!!AF+Rk%{LXUr3=%
zeUOSU&)C5j0*1b-$`;5=$YrzkI@hU+fIn{3w6yH3tO%?zOg<+>J-?$PoM-`zfDjOL
zKNZfLHL!cHg`kraZNr1>8<d%8g9ipU7tjZbWOvtq55&xW{VMv-mLlPM!_?FiW;NP(
z(R}=~*k}CCceprNz%jth(+W(IP?*mQiod{w<oEeG%B9jbG&BT<fr~)8=LP)Pe002C
zXlZM!pWnw4e1rj3C52j_mb1gDG3}LmBON+{ZUyY%Ys|>VxHc1Xwc!Q?ucD$NBs5eZ
z=`YY66=0q+i|HH~P=T?`78YV$iuzt{k9K4lI+uf=6nde@g9l;N)zzNT6l`E-gd1Uo
zxX;av*@4MPY>Vdb^-Ut~+IS8EAbnt3LEo#sXL;|g30wvSoocuD_e&lU-LY;8IuQW_
zBTC23-3AV(8yq5IqH|+owUb_OCq?%$7_FsC4`~eBw>ZQ2Gk4R9>qId2%K5pe31OR`
zW@gSZof?};p{}QWB})931hfo_(YXhu3k3GFtgNi*75;IK?Rd^&{X*@G3b6S#_E?mt
zE&Q*b63RBktQ>vETe%V1^|qnGXp_?TDgZIfyrI!!Y>)q8X8zAdc1IV}H0R&m22m@4
Q=^9Z}(pD^!w|M&B01A?t?*IS*

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map
deleted file mode 100644
index 94db074..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::SPODE" name="bayesnet::SPODE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="24,153,154,178"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="17,226,161,252"/>
-<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5
deleted file mode 100644
index 7d139bf..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-660b58c59a98cc1f67bff80bae3c1de8
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e__inherit__graph.png
deleted file mode 100644
index 16e3eb5eb3b372deb9cf3a0ae06ecb53c5792323..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 10920
zcmch7cQ_UP+y6mENJv72Lz1k>$Q~zqCCMI<?7g$Hvwb9#Eo75qWsjqhnZ5U3A)DWQ
zp6~a$e$Vwh*YoG^hwG9<=bZQZzVFxldcE%Zjhc$=6+#+91OjnIUJj)W-#;S|SXcyj
z@UQW#3w-#7_gqmHg}A_crq|`hArK4*d6cAvd-BGFht?CfdhzXp%Yn>14B>vEM3mO0
zthQ<t<E%DCUwUdXhzCc>>QaP@ijG5hHOE%Fg@v56Ox8F!E7UC>-woSPTgQ%YEMmf5
z<+y%B?dv_o7!GUsj-`W;1!6LC%4`1Utu+t#`Q&7;uBBIh7U$;`LlG_9#Q*V?;&4#h
z(a}LAkHT6s4>tA;n5!z6l$3mtGNe6OOGbukPwQqnJ^DPco-s2U5#?$ybi0FYu`9)D
z)rTsln}?UTR-cPzn4hZsfmRH)q>-fArPsJgWS1ySWk@j(^a!5~>IMY`g@%VqD=9_X
zKlWfSuh1zpY%qA4l9k0|_Uk<#L;pKIKEA{4maDOGaRG~qW=e_NSiQZyRJ>-yi1hmU
zTXqd+{H~khmy?vt_Rj865UvlG;rO16O)<pE*{=<9&<ffk#Kgp?_$(>9QiMYUCf!?>
zPx$8RyF0F5zaAPLEg-{Xwy?1g84(d-U{f$)xzj64pOKS;*Kjhi#Sr)1{^-w(OSrf*
z{i@=87HLOEM~OTy2vyR=B1=oT+4ZVO8_tjKeXFZ;fIma{spqxI(t8Jf{mLJ=*E2X6
zoSaMx$3aMFXi$7EFW*_tik8YyOHWU4WIox5+uPgQj))*$Eh;QzcXV)IL}nfzd*&Au
zthovYNlEGyeI0TU{yjLT{_54Mg#C?;4d;`;HgyO6<_|P<b;s7;w}f2H{qp6D!Tv|h
zg3E}BSILx|dU8HKKKfsW1pcPB_vojUzwFK_EiJVj!pFzIM)p`+n;L7G=lp!H_enGg
z<yf6ee(l;7+pH}IW~8NsMaH{#lmQ1@F|o0dD=RBAESEpS{TJy}gnd-M>p&|@M9H4s
z-Y$bgDkv&4RqLrlMMcfe&!g4`i<pp^ZQ(bbz!42)i!}SUXIk#wz56CK)X~wgV{Gh$
zDG&9?$Vl%y4&6h1<FT(c4?OqGKUY*_lQGHkB=Nos4P9=JylHA;B3<jY#R5kqe}j79
zw5XI{QX-(`)b~-o)qz%?nOw+yn}Lk1t+lo1nyN_C!H|cxVT`o2w8cta_UY&PvYRvk
z8DhRi3pcPOs;jH@Z-xBx54nP}^6kuG$xS=@W7~UdY?&F-A?hY3Oute^Kd`g2ceJ+$
zPx@YXheb!{-bwTNj4pedkPwGLW^{|4M9|XGF4u0=ukqw;CO+suu(Gj*Q4r$3c<~~(
zwpQ3?q9#5xG)E;x;mw;jUc3DK{BPspq-CRT-G*yc&(lDmoL7I}#T*fC)Y96T`Ps8)
zo@+&wpYrnFgoTG&KzdT#xFIWGJI(;dg?KZ?D?F-o-N^LwLm+Eznj$D}-BMA={s$7~
zds|yj{oyQ80N<OM)Y$&MzU8`u$u-w%rjFRy*e@QtW}{y$u8Cfp?#|E7N+oa^E^cMn
ztp~Roed_-Bkr^)X^nU-+B*Q^&^d#+4R9w6sXYRE-Dx_q+=VvDt$9pTHQQ2AO#zqMU
zY3&y8=Uy`oe!EFxSy|ajczDm@X5|zW12hZT5)6IbY;W6ZJbN}bT45C<$IQygDq(KU
z`hez2Uw=OqLS9~8>x(%V<cYevdb)aEsqKUiDH$yt9T^$f>-l+8QnL5&-<R4=iLp`;
zqGV-v`Gi_qTN_75Y3l3i2?z)zBqd)ry`M-Du)D=?J)G`FjR++`U5c9Hc3xH^CHuQI
zbrpe!wlyaXKDM^93eaG~MZ0+PXBwPsWC@_F@6<h96n5Ke{pPXD5U+5eabh5I`A;Yr
z6SwQSmd^+pjXy9jK>7wHColgRLU($0Mt1Wi5qu#0G}zi^+rnetzP%JF6EKI4HaYsU
zfbh%AM6$*!C?yM$85kIB|M?^3<s~8*6_A^IhlEZjFiSSN`PZ*2fF^Rv$^$Ftk&&be
z1C}_+Y<23w5yOIKCGCb6$IsTstFMKS&`D`(Qi>hTUxU25Nn4w7pKA39XF^tWHMRJ~
zsZ)YMv3_kZov^E4sPo`KB_=?rdy9#x$%197eEZc~D*}j5`T71jMZsF^cnH03?qu-V
zGPbsyUu`GC*4M2M4-XLt5fPEY6Ar_A+L@UdOa!3R#9bEF*NGt!-@bjj9Z;N~FZJZf
zHQTBBNGP@EBcES<DlV4M)1x);Shy~-+sW&tAG<syo<?`IFynoD-wuw3hDP9z9}0CQ
z0uS({y@iB@TiV<4^78T$`K;b`)ti`@^p1{>F5vg~m>7MEuBoZH742jf6_OY2fuEHe
z%SUtNxrqrDB7sw1%F&SrDn592_WAJGm^5bs4kC(PJPK}COwVbt^EF(4@RggS)YRYc
zw^wr0WNd6W$jQkiP^@?FO3KL*05D;&9uRiC+6iApMTOw<<(b^q#P>C>AzGi`r=g)a
z+~@`@FR4FP*y2GzW@df+M!T@E0AXqS=e8oZ*P%V+FwMWNy&qET{{8#I<u9-P6Bn1E
zS&*TgXTLoy35_9rta|MHZ|~IHc!G(o`k6<WfLSLM;pNMWH*Va3`k|nvmS>9(`)$eh
zD~UHGIXSswVj=~JM4CfenqOU207O8cDCp>v5zDIs1wt;@$jLiKN8igt(mZ-zmZ({*
zCvRh8^Rd^Qm76=Ju&}UWXea?<X1+C9C&VSCqpN!)1SRstVNM1LJan)~SC%I!f`nd7
z35EI~V3)Hqhu(D&;&S^oymrcGJ<R=H+*eG$!6#)(W@<P*JbXVYBUh|Khr?#7J_RDL
zt*sr4LNdO5`O@cWh}=P&f$z!kFNe*Qw$zNW<qyd9H{Z=TgznwDm-XYv56(5a$!~f6
z_8uM&#pA!eI<O@qBwYP!fbNvGu*mE3EYehbR;-ut?b|o8ZsoNCdDJP6ozijpWIq-0
zzPz*B=6+wcqK1~%aDhorn%L%&;K2)a?+mUEeS?*cxw#=uv~I1x8!U?o3R>dtJ=^Y6
z<eE7<n36R&|0I8aCXhBWV+l210Tj>J%~dgb)vqQme|fN2Km3`YcYIJ{wVg~-#qw2p
zdV15BFF#lvL^PIGI`H^6`gamw6Y($+c$UQO?(X7$z8YN3rSH#9{zl;qYhF#wDD4@6
ziucKccrTS@Z{PDxgFq=}^7!|)At5RnG&YAVZeQw`IFe49ier@{{BArXxz{-n(zAad
z8le=enH_t_Zw<j<8R9inKF-Hm$*i>=VJ+3lNbX1DS2ICQwzw(Vp%tSX+CTe<v=z}x
zJ9FFVfXS4-gN58BEa!EAY;JgE8CPzv2Jcs9b9glKHi|TT_8F-L@_E9IoMwM(?5%Io
z$fy=alG52{j-}Wk36mZn!}kTST-B7*JL$_M?N=6Aa%a)^3qI_3dOw%s$KoKB{Jrvd
zcIr26$kbJL>8n`$(blF`oH12(G=%o01LgA4(m2UcK~596DJyqeW%zmWn?xk+LM3Uf
z*MnzQu&h@y8vU(JbvTfW{yI||NU2)Q@Q&B(E5?nS91+WHPfR&jSOpuWm&D0>@)x<+
z!#$FB#PjAE+qybrOtT-Et1{vtNMdv>n$BkjLp%SXbEQxcxBPN9wd?jPeJ`d&*G67h
zCgG#=pEx@Y+!Y$#eb;$rlt3B5P|Cpjf5XJy@&D@qs{Md^US8gpq`jUdgI+xgmC>|U
z5R;TIZZB@W;GPlO45)TmI=3$LlsWS<Ez%SYo2zOAJZWb?k@yh)b*kRUbG$H;7ztgX
z$Fc&AAnsyt+y48P|B<!~18~<!gE)Pr|K(Wz+5vi6TA|C!=1yOY_<^Age||x<*qs*r
z&}ng6)%W-s^!lT*wY9aK_M3L;+1YK(C(l?Z+~*<%dInwHQcs}VhihE!MbQZdJ1uoF
z^79WepYUBT$E(iF#NOH2S+s6q1zHJxzISZ{QvUvn9~8-A-ZaL>##&YOj6P@k&)i?V
zn)|cx6M@K9e-kZs9D4PASw%$!<DEPBIz^NS((BiQpizh%FK4N-Qb5b*{_aChfT4EO
z)YQLq0WL740fpM%-v|60+HfTd^8cb^Q?lmzsi-LX@87?iYhz<$D}Oh}JhyUt%|Ctp
z`gMpe<SM<2g@r}krq$o|5eiDm!R)T}k@CBOf{CG_fGY$N31WM6MA9a!7T^9W!*nMn
ztN8LoO;Itt>BJ4hL^@Dkd#9zRCFhq$dV6Cvi*z2T=e-q-%EBe0R0EDiMwXqO9jnKA
z2e=5($V`{DK{B#lXxDdviIrq&7FZl^&p?Mmp->MWKAhj!PzK;!Utc%>`Htf>puuL0
zpGMU4!N}-nA5eki&Lm#oWOMCTK9`kcOw_u?)zyi<K_TBibYdA88oF8d(4vodRxpa0
z{4$-0drWBP^XJc(-`q)^K3V&A`je}H6!GKNuMI~L1qB6GKEC+S8a(Z(GVTW~(v_ee
zdV4aY^UBI%&AL;SDJdy2Ja(($LaYsq?vGOy`##ho@b}Lj$A9FQ_eNf(#Rdf6cppr-
z)p?HNQUlMse*F<#`sdG|F>M7Jy8;UJBv&Q7wH0-qJ~BM4rlLYZC+hhY*r;5#I$S{B
zliZHM!FM`3I-lSr_4M^uiYg~Fb8=YNI5~65Owj7k*(a(T0@gP+@`{V2G}x|hj8=qW
zV`GOd+s0t2xw{MAjaT^5)x`qc?RYkvi+GTE)l)`AQ8DXa@>R*$!oNtP*Vgg)O;c}l
zX72s{2a{28!T+5$qEL9~$zBs9BL;|)==e)h1ki@ok}=?-AdeoudL?|Ff+9w<ARCy(
z4+yq#OYmbUDQw7qn4%&M`qY7fXZ>)m(B&YVSRlmtMMbx>)#ZWn0{>LnUHp}`HdGQ9
zAAh~>WV3e9_u|0!<A7yeMa9#l*L5yylv6+bafz0H2~0iEiu+`jKzaG{<p-u6r0N9&
zc$I6krqbx<o<vXH$y9%9^L0AWR59<GXC_-lVGJL<k8N5*$*6=~*&Ej9<^on%EkjYr
zj~_oaPE639pPz?DMuHN>MM$v4Ki`>clT%Rem&s~^E?nky<cN@X{Fv;m!fh6nWCAWO
zE_V+PMlrElwCJY(ehk@b?#+^&SzN?}#`Q5LXLWCGeZA9{EABhcVdBB{d)0bTAY4yR
zorVN_^lM$O2)nK$$W{skoY{#Z^91HL<n7wU9A;bVZ{cO}ey^Q6&dkpzw5*_cUPgtm
z-<f?BaZ8j2bPWbCKo!i)&EX)nx3{OaD&dU<hJ={(W<HAfZkj0U#_3lp>1=N=0X@~X
zv>-pf=lAcxu}V9W#m*$Huh!HcHpp(=2zh4Uf!i&zOKkXz`S_sQRW_Y?VErB(YIt~<
zfe$dq>{nkk2R}b$QBje;j|4HMpfR%4;hX6F#bM>|>n}|sWm>wm4QiY(fB*g+^TdF4
z#&&jBtMy0_f<C8$VPRp1_CT3H4pH3Xx0Wz9Wu|Y;P4l4ve3FxsLy%>B{CJ6xkx@=b
z2?a^s+}v!x)I}%w@F62Jb6}bePpg_Tf;7C%+}wP+QrvBmw*Gjvz%~Ki4%xM90iv(|
zGCX`p4cEgKPl$i@R_kjV{B6Kk=aGgC6Jv9wGderNc22poYMEQ$5CjDV#)O9xLA{4X
zL@<NWvaEOyw;>HpV19E`1;fA0e$hC(xMY9+%!5RRMMbe7ocC9srqn=MncCPWXURk&
z%e0j4JuChQvcAv!0R<J6oTjGc{Mwr0ty{OgxNRAvShYu4$ssdCLkUK!9I~3;qy9q|
zCn?Eb5*(TN>w`f5;m+KV&;h4ah0bWbxA1pU9w>X{8<bR6SJ!DFQS2t)=M0m_dU}O!
zN_EtBszV*Y?ZtLsrFZ;al??$@Q$N+zbk+9VT~toNd1_$LrJB7lS@*%;-@m44=>D#n
zj!u5LLBT*D@GVv@u99x2{$opWGWx1|bI|pQ37n6iYm|8Qx<R(B__U8DWt1Jnrw5GR
zfN(hfUDu`&u%%5A@#vdBF^N!&DW^Pptgh}~VKp>6@XYWL@V4qPV?3<#Zk@f5=;*7E
zfWId2ctb^EUYZ71-@uSEOt(**rx~G0({1DqrsC_MMW@`(%x*6{N<Voj{NtJq$E|Yq
z2IEZwylYW&UGHo0bFOCgEw_AnaNINQO_1_fyfvn`VxCodcr+6mK|{lRswFsNyO|mo
zRyWMcsC%;$mz%h;bgKTPQXuX~U?}Nj30#RQWIlGAK7kSXI*A?sWSPFO!od|BMj-H6
zU+55z(KRP6c4yK%0*^!T^Si%89qOZbum*ooCfaqS21ekHpae-`Y13D}<fq^ue+|Yo
zmMIclJCr6Iu_xESi5Yi_%YRCg8%SE5QG0U#4Bgei(kQ=;jUQS&E>Zf{fq++9(I4$^
zO&GXvNzJX&oTJpM@x+6mRFR13)x-E?6s;{zX^)fhSR1X3mr!&8&2U#>WJ+wLQmgT0
zK`Nm~F?d=J?CC^lwPGS8TL`1}(1{2lY)xWQ#j7~37RD$mpY-01jjEv3=zH2)jow>N
zXirp`BLm?H<i?`ZuxYSZh3g5_dM6B@xETz6vcW$o&|YjRTcx1WcL|GnUwbvf<mJDe
zwf|wY{r`D@dj;RS#Gp<nd9I2nXB=%LJJ^Ci=*2a6rX=1V<Cv(lOZzTnFx00JBzzM<
zP-5LIru@Dej+qmrcHEYUg#Y^VG&gCjF<#zl0-jo#|K=8Aj$kZd#^G5|Q$v%hn%18A
z=<3vk{fCs4NO0P~43pqYXc-&3Y0@4sW2dUD9HgE%pOCG7H%BSS|8bVg%5Mux%VzP5
zBh~R57a|T04tpo3mXGpr+&-u7J|Dmuk;qox`RVHF3gGG&0@|VI)xpS!Q@3acqjd22
zP-3KoT1xCq8XEh}@rO>84pWmJOLTg5o)tr5xj8wr9kERI_V$et)Vw|8;}MC8RHkNT
zf5wtUUr~Zg1P=nfzyfN*r}y#$>uz^U<LOi5p<?|i`x$Hyh1}l9&Yv{cPS3V{(Uns^
zKkeL(_bi~VN-)=)Y#TQC(9!!GGJ-CaL<yaIgC+<%yvFMaf52+QxVDwmy-)(4q{5#z
z%F4=AJf;MK#dZye*0#36N-S%R;z%i=RMs{&wRLHl1&^$(tSVooZ(0InmCWkht0~#r
zb7t2nMZA9f`cx=SBMg4*Oc72n6aZFq2_Jv==gY3-Cg^Tu?mN$chR}+*lai2-xNlSp
z8CiH7WLzO8ZZ(M(4fa0y+w}7%QEF-`0%2%qc<Ium?F!q8njq+Qm=+0E&*?EWubI(c
zp?2M^@M_{3hRVuHCTO8c-Dx4vX6L`h?fm)4C5?<_5ErMHjiP<6o);*`?BCEJ{*GPS
zzp6@*n40GjSN$Q<ueJ$8H9&@QyR2#e3!I*A3IJaNoRW613&<!b@uKFoH!7!Qeb1MC
zAr{1ND&QO~@HT+w50{zX8@SKlCX0BGLkd8s8?8#}@bWbBD;I%`_Y4n*Vmb^D4>=YV
z*5UcdR%}{YG!RfMzb+m!$s*0H{CtHaL6M!-YeES)6FZP83fWTL-lA;x?mY(gghTi1
zHsj{>+FE#;&+%n|Zm*cFh0V<<NWYo1i_=_{7<!5T&JGCFv>*w_rB-|V7#bMK^zXbU
z1VltFZ?4@TrKAkD=+DXcx3vwX)eJmcVBn?G^Mi&EU?`y0fmd)l%%Z+jRLsmpi?<hQ
zmvh@qihy<X?c)3d($Fs<;fBxg%AM2w65k+TQa-0UvdnkxFbN6KG)}w>x+!351iAO=
z)2Bu>y>A4x2;)EV-#x7$V%On!tv}-L&1`I3K|q1@KQwVOSQI2t6+2?CKl`gYzqDj>
zdbqQ_w}*-Q;KKW-c^Xm~RVS%ef}~zUl43!_^oNeyl`2Z4sHhl0`|$JF+$!7vctHVZ
z1I~oG)1zIXwethtiyM)VkwR;FdV1V8qhC^Q{lMZ|_9sT{E_H`gRPaGfU~cjB)GIJJ
z7|F&)2%S=mEgs{FWoO@JV`Jk6MbwH$XQihjCMPF5e*J2LD`cb$-zo7uBch4KYiep@
zKx*mgwsd!2_3-eB`MIE$ry=OHNDLRcv)8Y>CgOtA*c?Q}7%RsOu8+IBdpbz38(apz
zb<1mWfzH^8{hr_m2@am!LDS2+y7Ctr)M2VaOIzEx$sadS^c8=@#KDwrG$zmpBV%JM
z0Re$RtukyxPhTH4lv!PZu4RSJ(s89QlT5^P$p>Kw4@j-G!kbE5e}td{#zsbrhf9r5
z{{VD2%rwI&B_#X?7m}Cv8ZFv*z9aTj@<w=DBEJodqm$Epz^M6!1>^nI0mNo%HI#p;
z_laxDSp?O6Y`7V%YRB8YEUqptkF>O?0PdRYhK_2q*(s&7dZ`LWp22m16J_t<(1by=
zrPNm>kbsAaAMCal5)7Y%%T6Wa%<5Mwu5oal?qcugC<PV+xL&Q#9TLWTL2A||T&IHs
zpV{0jE|1b@I(P!V9~~P5T7iXN<=_YcVFU8W{?EMp=>nJUOq$q~*RJxp50L8NS~o6V
zmUllF5Qv*MZ$dasmby|-NAk<c$lx7)Dk%v8Z}s%_6jOJ+FS{5R8L_UhC{3@qinX{T
z_X063Xl|DB+Uu1)oDR4O7B3cJaBvXpKuH-HJWDI9BZiwiVD*N!JwH9&?G}3JFuiFl
zqpW-dFeCHe9F7g}GUVZK#6YdlZ`U|+!;(%l4dA%r=g)w&G<r)*OKwmO#Pnjch?s-~
z{2-~OkTn?p1Ob$Qo|@j;>c(F$L*J5ia^meu6TgaVP7!u11-}f;sjR9hsx+@Zm%-aM
zGBF9be2r!AaBu91^7LlE4*+t5H|Pc5vAUnoi<-844uqllvg+zm#PO1nl42CHp|aKn
z9Lmeenx3eN29-3N)4-JEv{3%hBiz~9S#H~LL8VlYq^WxFi(On?K$1T)HfEgkKG4UI
zbXHcmTw4HjVCA)5`!6)j7>H|lG4mQsiehRI3d{X;2Ynv~DUei<w5LbizQKS4w>;*_
zI^XjV8Ty{_%{x8>&Afd$7d;1+b2vwT(J=&Uol3J%>os(!IiRe-!2JM$Q$1JjVx&@b
zHX{Itt*x!Ot!+CI*SDUHCr&SeEwLNFSoC8YRr3clhbJc(Q=-a!2MJL{NW9c$i=T~u
zX3zxVmr~aa9YH}si9C(xklmOT;<=t(-qWLofp+jb4%f@OVQ7cJHt2>R?w3VsX@y;h
z(NT0b2thETp~1j-h8?U_XUm+A9~o}n&i+|{{wJZqxtjQXF4hrI?D@B5FdhQ{B(1HT
zr(z7AJi$p)YHyhS1a2fq^(F^e9v&VDb;$nOkXzmmjOfC`2!}^Un<pnz4OLN}3JU{u
zirS$bPaX&qm9QXugtjJcs2;-*4~7>|zY#Qi`Knl(#hNc(+y;F;K0aQfgue0x*oX0H
zkeu)E$cRhrWN&ZTPuE|+egV8nczV`Mt~Ev_g}id0MH?3H#n-==m@*s*M<Fo>8X2iJ
ztQ*(;IWVwaza}DwH^JxVi?O_6vP3{g=pP*&4cxoas3$e{1aoD>-#p5z$Ba7VNP&AB
z|9h4ih*d394;GTdday_66}cGvS*I&__sAzwt}cGD<aKN2J}@3|`@+0R!NKoFFLft$
zrBX6ddfv`%N{+|rj=x!-;bZZ2<dg53Z2s7^J+`<@-2qiXP6x~y)`QJ~rbu>d25d>w
zkzm~av_bu9ee0XBE`2j!biEXbq2Kp%JG6`1Z0t|JON~vERCcE=uyu|mN|f<_e)H)v
z87;m|?o%B_vgZHb*$f{DWVJGGYdPz@kj$Lo<fF<mNuXre4xwKmQwg}ae0~@uyiM$8
zlKzTZ2#igv$HK_Qj9PKaC)b7-g6@_wd_a&HT*|0zcuMZn_!DQcN7@f}q$9JQi5}sI
z^TECN6knP4lg}+m_70gGTqJ_ZGbCoTnVbw~pu5E%cO)@XFsg+xee7o#$#YUo|IoS~
zek7$Slg^o_8G;HcJ!LL^QSj44i59H)Q7;f12tD7iclXKvZVE724n3#xt3&jx;Do1M
zLXi6W9(l)2OuU<}1(ds3=n>0_5&0sgt3}hl9P0lE)@N~=3cx4fW6UnVztq<MYPL3e
z`xaWu$h6BL3Atr>rQYU09>s<n6gpA0-<uZPv{qA78#()3wZ(AlF#_!%yIC2fCVH=a
zd(3TIq@158l&n`Baj@T8D|3>*1;!~&0mUxq_s-4-3UscK|90U2$N6y1FV?S9QX)Ay
zNnpx?Q)g9vvRY6Q^Y(3EO^pyt&W+Dck1$Ql_XOxwx*F@@3te4Z4C8!~qXd@LlP3YH
z;%5|qeo&(UATYrV*q)D5{WJFMXz_!&rR8h_u)#Ml9KCdD`FwMA(%bcKm+)3&R~HF@
zRU;Tl5g6>Xj39q=iRcFBx`VC>%{H$i21n=S@I5PKmi|54x4SUB*f(@P+aJ0QBj`fC
zYH|Qpm_IhAioQCu5rd(eUcDFfyLazOzkF#e(yb(=rH$aT8r&WmuX4cY&s9aoGRcyX
zlKR~+^df`q>AslsvJ{*~pIYFi6ciMVeSPG#=$XBhegYDbb{Ldq3|PAS^?<hifRE4R
zD0Aw3=x4*l*%m81`}%-j`RC7|BB~AO6C{~LMMXuJm;yXuI1>(JC^Ym_eSPZc>T1n|
zN`@NvXd5mQB%suP1Iu~g4er`Ry|?bx8BAXX1_%GvEMf-k92`YM-e86H0+n<gv>E#v
z3E<waJ~Ja(R#ql7*4ozA8^b7#d0v=YtEQ;{H~Kv~nqNKvXCgqPJah^U4TXX23NUG*
zv1D=IR1}izHVez@Ixi<@m(dnnit}vi<$y6b3iyy1Ufl;%`zy9%+R%on=Y|f<s$~Yv
zAB2X5VW=PYk7f2VQUI5TM(`}B7Zz~A83NN0_Bw7MN=?6$7aG**<OUZM+^au7wn9k2
zT$4p9(GOMv8hd-mbSrHax>>=tLIYQ4O!x`DS}?3gAl$f|K*j6;8*BOg{W2^dz*LeF
zW`V?mz~y;>p6mbxnA`0Z$47hv;}F8I2o|mq%G}1L4dC7-ss*CrFx`k1fM#Q0Kmb5j
zd7toe>Q(sxdd|RPJphI59pMxaq2)E}Y=jy4{@|b8-4={8nYuWe!aEqb0h<l>E-pbS
zDRgF?iLd+m)UyUQiOMfk!@3A9I-{_V7{rpKfx#``Uoen1vmX0;1r!IS7s41jdVE|D
z%sQrjc~^*-)KrWoC~~r14z$*NvwEr2ycY>wMh|Q?_!zFVqbDRHf_ZiL&jc>%3^gM#
zbB96rOesR=?@E3c055;KW_ZyIXLA7N6~M=3@Qna&85~Wcg&*+<1elS5fq~mD!dy<Y
zn1*Kpls{3(g)K8H3-cf3n8{&Cx=MQ!h&xPX!H%8*k50<j`2i3}Y_Kd1eU5OUs^VCb
zSN~QWA04?I8CO43QzM1Zbx!#v{ly`^>-uoUt_y55+@eRrwga^6>HQ%?Sr-?+^Fy@w
z><7F0l^vfPqp#ZG;DNP3Y(Zse)i~en>+4I0O&cJeNVsmy9l37MfB_H6hLnbe5GL}#
zSr8KH>g1FhI+sAdy?sjo>bOw1k_2@L9AkJPj0cDc1oL}+tnw;h5H@TCc|~FnsPyaC
z;F1z9u)P87j7rVi7Jq#RxpI?#S>I<V#myePy>HviL>*mS?Jy~xhTH=9`J%`LL;dZY
zohEoJU4!kY+!`bu81Ib^dX=JJEG+9?xT3*X0FPg2P3U6V+3V@kr__Zw<DyB>^Jlt!
z&v}DM=)$hw(`-bebI~VB&3@fFh{pfAiGb0xa?DZ+3WS)g0H9M!?;pGoUj~a5NWTmm
z)juG>;q=gf_Mzi}vfHCak031)1syWGe4sWEs;a8ALe2#AUfWm@J`iV-8)KCwphHew
zF&5$hPZBX({12mF^+1XPU=1lNS}d$`(v!%pZl4l>CICEzo4&{WY1>dEEdvAB8z&fG
zb7^g2&|^MUR!v*`&ETM>Ty`I4<pnHS>33}()Idal!8s4s?e!@Nak0KCs69J6IXS3~
zx}UfZq4)G@n;{a>2%A3`G@V~ud=9HX7)4<ZPEN9*12)j~Q&-4bG$`6_(5O-@aXVX8
zPOh%O{}KyeT82Re!xE8Ecd96+63x1j-+=hb`uv$31Zms7l5hTyQ}xAids{6%4*E8q
z%nVb&O(`xeHn+B(A9^S#Xaw^fnA@@5Tbs~z06&NXGDSLs#HD)Ucz><RW$j&)MG2U;
zUPlWFiDKTKY3Lq05FvWij*njI8yKWMwmgU*F<5VFZ^uS(>emFqt_r*ESK_v|w$jSV
z5Is(O1g*FaEkwer3M^wBcydT1a0dRlIt|-kk)xwJ%*@Pwp=#ik#>9{^v#=mx_6C}$
z%4vxNmIX-3$@}K|?Ns@&B-kl;xd^eQf!ZBHZ>-V(yT9L7YTQz4(a&;@UsYE}hfxyN
z*4Cch@7x?6n_)Mi6t)8388eHDt{@<f{cbD1GlH3$Q1=691z_^Zf+-9VJ6yZmtO?K%
zHX-s=Ci3&yU?}H$wEF2PqS9_^)A0nf_Rd;K1M=?O%c#K4P9+G`UrY7?72lkx_6TZe
z@Zd31KxAwvl8H$^TRm2%C<o@3F>!I%s%vYXpiq~Jw9A8G(v(+N7!eu@nRgkXU+4KW
z*A@mk+Pb>^pB`t)u~YVgUyxT+6bU^E7Z2|r&>2U^$Nz+c;BQRSCWMCCj#o({oO3>d
zWplW~<o&<yI&A8nA1$SQ|M@c<pdj+5Kom3*3qZP4XX?iX{dNa^mKA&8pY=d1>u7HF
zhk{dpHH-7@5OEkS5;b5J2C=3apfSl_?9g9G!aj)5KG+D(U)N4u&QCp%HLz?rv4M+=
z`^9NV1=c$-D;&`xe+VAQ$h?1Xyivc;*O3w*AO9ExV#2<F-Q@42ehx0KrKPuSTa(JL
z^Efg1gf0GUN{TYfy@b|a^+LbeG3d{qKgS{%t<XDh^rAv%Voir8G8hn2=4E$k_Tu8A
z*nY2m5x5vN&=C_JF1*%!`t%X3YOzGh^e>$dB0Ibv>*^|E{?=ixz4v?E9p!p)Gb53n
z2GW&iSYj*Gucd_8vVkD~H9^ALk@(`cNZiZID<&nyW|Kcra`p8?Cf*3f|0HEbU##Zg
zwM^olCyLc>F@&Qs)sYJM#l`$G;+@if_eo22Y5!X5BxW+YpkJZve(b?)R1K@A2>C}U
KsA4H2|NjG7+68+6

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html
deleted file mode 100644
index 6e68e07..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld-members.html
+++ /dev/null
@@ -1,176 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::SPODELd Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>commonFit</b>(const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;SPODE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>SPODE</b>(int root) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>SPODELd</b>(int root) (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~SPODE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~SPODELd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">bayesnet::SPODELd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html
deleted file mode 100644
index a087449..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld.html
+++ /dev/null
@@ -1,518 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::SPODELd Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_s_p_o_d_e_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
-<a href="classbayesnet_1_1_s_p_o_d_e_ld-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::SPODELd Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::SPODELd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_ld_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_s_p_o_d_e_ld_inherit__map" id="abayesnet_1_1_s_p_o_d_e_ld_inherit__map">
-<area shape="rect" title=" " alt="" coords="95,226,238,252"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="24,153,154,178"/>
-<area shape="poly" title=" " alt="" coords="115,187,155,224,152,228,112,191"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="178,153,312,178"/>
-<area shape="poly" title=" " alt="" coords="222,191,181,228,178,224,219,187"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::SPODELd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_s_p_o_d_e_ld_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_s_p_o_d_e_ld_coll__map" id="abayesnet_1_1_s_p_o_d_e_ld_coll__map">
-<area shape="rect" title=" " alt="" coords="181,241,325,267"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="111,168,240,193"/>
-<area shape="poly" title=" " alt="" coords="202,202,242,239,238,243,198,206"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="265,168,398,193"/>
-<area shape="poly" title=" " alt="" coords="309,206,268,243,264,239,306,202"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a5e32cfd49178cb1e4e78644a3a539b87" id="r_a5e32cfd49178cb1e4e78644a3a539b87"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a5e32cfd49178cb1e4e78644a3a539b87">SPODELd</a> (int root)</td></tr>
-<tr class="separator:a5e32cfd49178cb1e4e78644a3a539b87"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae7748b09aea0bbaa4ff27e8b003795dc" id="r_ae7748b09aea0bbaa4ff27e8b003795dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ae7748b09aea0bbaa4ff27e8b003795dc">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:ae7748b09aea0bbaa4ff27e8b003795dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a396fb1a36114348816d9fdc79c399103" id="r_a396fb1a36114348816d9fdc79c399103"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a396fb1a36114348816d9fdc79c399103">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a396fb1a36114348816d9fdc79c399103"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a756075ee3ca7cc1471f1302fafc570a0" id="r_a756075ee3ca7cc1471f1302fafc570a0"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a756075ee3ca7cc1471f1302fafc570a0">commonFit</a> (const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states)</td></tr>
-<tr class="separator:a756075ee3ca7cc1471f1302fafc570a0"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a42add37066ca27821168a394cb11b1cd" id="r_a42add37066ca27821168a394cb11b1cd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a42add37066ca27821168a394cb11b1cd">graph</a> (const std::string &amp;name=&quot;SPODE&quot;) const override</td></tr>
-<tr class="separator:a42add37066ca27821168a394cb11b1cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a338a6e74fc8a8a96e698f56e0543f63e" id="r_a338a6e74fc8a8a96e698f56e0543f63e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a338a6e74fc8a8a96e698f56e0543f63e">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a338a6e74fc8a8a96e698f56e0543f63e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_s_p_o_d_e"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_s_p_o_d_e')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td></tr>
-<tr class="memitem:a08349c93ad92057751a20929ef3a04a4 inherit pub_methods_classbayesnet_1_1_s_p_o_d_e" id="r_a08349c93ad92057751a20929ef3a04a4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html#a08349c93ad92057751a20929ef3a04a4">SPODE</a> (int root)</td></tr>
-<tr class="separator:a08349c93ad92057751a20929ef3a04a4 inherit pub_methods_classbayesnet_1_1_s_p_o_d_e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
-<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-static-methods" name="pub-static-methods"></a>
-Static Public Member Functions</h2></td></tr>
-<tr class="memitem:a75366990899838be743e1dc5a5a8c4d7" id="r_a75366990899838be743e1dc5a5a8c4d7"><td class="memItemLeft" align="right" valign="top">static std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a75366990899838be743e1dc5a5a8c4d7">version</a> ()</td></tr>
-<tr class="separator:a75366990899838be743e1dc5a5a8c4d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_s_p_o_d_e"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_s_p_o_d_e')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a></td></tr>
-<tr class="memitem:a891c56c0a059cccf2f29d476b0880882 inherit pro_methods_classbayesnet_1_1_s_p_o_d_e" id="r_a891c56c0a059cccf2f29d476b0880882"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html#a891c56c0a059cccf2f29d476b0880882">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a891c56c0a059cccf2f29d476b0880882 inherit pro_methods_classbayesnet_1_1_s_p_o_d_e"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
-<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
-<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
-<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
-<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8h_source.html#l00013">13</a> of file <a class="el" href="_s_p_o_d_e_ld_8h_source.html">SPODELd.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a5e32cfd49178cb1e4e78644a3a539b87" name="a5e32cfd49178cb1e4e78644a3a539b87"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a5e32cfd49178cb1e4e78644a3a539b87">&#9670;&#160;</a></span>SPODELd()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::SPODELd::SPODELd </td>
-          <td>(</td>
-          <td class="paramtype">int</td>          <td class="paramname"><span class="paramname"><em>root</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a756075ee3ca7cc1471f1302fafc570a0" name="a756075ee3ca7cc1471f1302fafc570a0"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a756075ee3ca7cc1471f1302fafc570a0">&#9670;&#160;</a></span>commonFit()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp; bayesnet::SPODELd::commonFit </td>
-          <td>(</td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00029">29</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a396fb1a36114348816d9fdc79c399103" name="a396fb1a36114348816d9fdc79c399103"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a396fb1a36114348816d9fdc79c399103">&#9670;&#160;</a></span>fit() <span class="overload">[1/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp; bayesnet::SPODELd::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>dataset</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00019">19</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="ae7748b09aea0bbaa4ff27e8b003795dc" name="ae7748b09aea0bbaa4ff27e8b003795dc"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ae7748b09aea0bbaa4ff27e8b003795dc">&#9670;&#160;</a></span>fit() <span class="overload">[2/2]</span></h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> &amp; bayesnet::SPODELd::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00011">11</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a42add37066ca27821168a394cb11b1cd" name="a42add37066ca27821168a394cb11b1cd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a42add37066ca27821168a394cb11b1cd">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::SPODELd::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;SPODE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">bayesnet::SPODE</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00046">46</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a338a6e74fc8a8a96e698f56e0543f63e" name="a338a6e74fc8a8a96e698f56e0543f63e"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a338a6e74fc8a8a96e698f56e0543f63e">&#9670;&#160;</a></span>predict()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::SPODELd::predict </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8cc_source.html#l00041">41</a> of file <a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a75366990899838be743e1dc5a5a8c4d7" name="a75366990899838be743e1dc5a5a8c4d7"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a75366990899838be743e1dc5a5a8c4d7">&#9670;&#160;</a></span>version()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">static std::string bayesnet::SPODELd::version </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_p_o_d_e_ld_8h_source.html#l00022">22</a> of file <a class="el" href="_s_p_o_d_e_ld_8h_source.html">SPODELd.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_ld_8h_source.html">SPODELd.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_p_o_d_e_ld_8cc_source.html">SPODELd.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map
deleted file mode 100644
index 9ca9e5f..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::SPODELd" name="bayesnet::SPODELd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="181,241,325,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="111,168,240,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="202,202,242,239,238,243,198,206"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="265,168,398,193"/>
-<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="309,206,268,243,264,239,306,202"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5
deleted file mode 100644
index a37512c..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-53a8a1ce38ea1de9807975652116ea2e
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__coll__graph.png
deleted file mode 100644
index 4de1b0f30cfe718af658d6b643e0f75701b07430..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 17423
zcmc({Wk8l~*DiPgl9B>~NJuwQ0+Q0w9nxVS4boBy0+LFHw4i{bbV(y6AT3HMND4^z
zUiTY&@A>BaX3wt~9(|OXE6!NwisLwzFE!N_3Gk@!5CkDmx+|xRAZYRMn-~WRK1urZ
z+!6l3vQkl$LoQJNWi`EvLy#MYlAN@z*PHbp-iCT($Jkq&qW#2dYzx#OArE3P@^7Qv
z!;AO0wP-uu#PQypyJ~H){$3(MjcS7_=SR(9{<_rEg#73EuVPce@*h0rV1JI0)zANC
z{^X=x<XNxfR?9;#sloQ0vUgRpRbNC;B%YS~?V|+~%iz%eum5#ajaCUPEG&GBTQ8O8
zmC=2nZR@0|scGvF-()vYQud9_Ku}dQ{g1tc#oU2W_ps)qnOM;MfV|O1Mwb}n^j@8E
z2D(>iRqy&~UF{)2x@>3^WnD~V*vTm=4MQz)v~F#0Z&x+Ph;25K78_L+?wy4lZ!8bz
ze*XM<NHh{l{+&AlgQ3D!VuL?E$Xp4Bu@$`vW(X#3<6z2$VV2?j^G6H$q`d_?@3z)I
z4jM5gVzuArw_NH^Sv)s;x=|%smq(89nAQhVnER5@)6?VN;Ivde9&ujkzqa%D%^T|e
zH@8V&ym(Pnanaweiu$Irvl9s%d8c9h=X;&uCx40kjp<PNh^u40{%dLZlLu%P;~(xF
zF6YLSq<wlgK;^rC@9dCj@Wo|{)L(YFRcY#M6g(y^g?dFFNFws<-Pb~DYil`*?f6r+
z{xobZe9cp-T}(8d`}HfBQ8D@k8{2Y-lc1fb&n}zK{`$)w4W8B=VI-8dY{~qO7Af4;
z#t9UosnL*MzkmPy;W>MYZmYPsww6*!Nr^W_6$uOr!(n1!S=gU;QhfN3C7MP|pYx>H
zDb;EgJMduUDbYy2T04={sixyO%wT&!cy_c`vS{t^V&CCh5Rq-MuZy*Q)31cIw1_uv
z-dyKta9g=@SHGcuecgWNSrJ!UPw-_59^KmXVH-IQ508YtM&BcTWo6|;a$_$q5wn0Z
z_r{~8G}Q7aL{YsU=hQc;F_U*M{Xi%jzC(9$h>e=g;h~rK(XY5<K5HznprHm&r_-Ix
zi%Lo-wT0T@3XhF%mV+4*&aSTL$lLsUtA&o2wI_cXwufYie()CP?~0<|(b6Ib4-e<+
zGMl|s)g16U-P3Ayw1AfqKcU2~*e{XcrNE;vx?Wgjy1Ke{bos##^p)7Kg3w4vNVfj|
zecsR@h8o%FsV{QJ-kz)8V*}6J+}z9CJB7%{x+}8vS5I7D!f?LYb>H)&-$-B(Hqk;!
z!ylRHYKP$*`OE$3ViTwNzI$T^!v#95hsVb`rVSo<@7_h6_pSt|rCq;z(+pojL!;7W
z7(ED!K*rIrq?7;Y?((w;ikl1bp>$o{bOHE?VXZTL2>vyz=*@2{*N4~kYB#E<`$x#f
zerVHhb$ahEYpu^TUEf(62vRpV&ogfFx%F@$)xEvemP%2+&;R1gQ_yLK`snBgWw1SQ
ztbE>o?>Fvz5j)%+(b#UmAksBTdh+{A>+moMr$LEagU80|x@&gTt+D2dZ+4~h5)wZa
z76%Id2#APK-u!gRkIeNZa5}rYcfPs(q<_(Ec?fOR?|=re=u6~=)smTQ_8V^We$t=J
zhoO+WU4I^*oNUOGSoh?2j&Y6ST@{t0-ad{G4<<@XEnQq(J`@HAUqZK#le;7!AdvFv
z)g31%r!VPZNla5k1~*Gg8xmRKUOs;O*v;MjfwuOQiDF|#A|j&1`1n^$*4EZ5OG{mC
zZ8A%Xi{)x*LcS|`Nrsx5EwGbiI`7mYBO_s7SXci1`2uzbw>Y1l9<9%Ql2ZB$pI>Sz
zE8|`I{ab*K@3onk*(odpccM~kv2o2qRn^EkGd?~(-;<3RCz0ZbHQd0T-7&vmvWMTF
z3~s}g<R>Lj#8BV1n#s?pH!cjy6A`wbypyi}$nj%1Sl<=oV?~86wW8j)+c$5<Fs-bu
z^}(veGS&GWx$dt`lzy#`?-H?SLAp9R%HT`+jGKoiy6On&uB{a@YxF8tE*I=<)`+dH
zu8xd|_<6jywz9C$20kQ?iB&bZB`hpV+5E)rpw6Ndosdc}jOhqY<IvPpir>jTv(h=t
z!+xgm_MVS~j*iaCuU{PlX~J<#BVWHxg6%cKnV8sn2ln|DZeThp4LFOane`WgON(~v
z6OWI6XI`VAsA;Y~Hj2|6366d9#y;Z!=3K6kDJe)5CGN3Ksm4Nj)2#6`47J*RDt35y
zn2U?+ZCYAdosL?DcnT@2I+Id~SyL*vQKf~x{?(nGos`VX!P`%koF~gH#a$LIZES4R
zInT>vh<QfC&dSTnGhO)VBzQQ-Qr~uEGWVLtjCf!+-O8zxs!8j&t0j4Hx^p`5>AdsP
z*@lz-SRwg4jZF2}t80!0goz80(b4%IKML&mG<6>Kvc#u$X(f1+aAg}7syvQt@Z2oX
zPD?6`!Odge^ZPp(EECJ95IHAHBq3MfD^u`AGT{8^k*J6Wtp6*p{KXIVJ}%GAwS50>
z!edk!W@%~3)B_8XHZwD`Xq6)Hh!6t<qjXI}F@`n|-uP%RL(Raz0OnBAyT{3ln|J)d
zwWr8ox_WuEAkO>S;2_bpYuAQW+zwZZO6N8<qMH3qtiTbJm6xL-BBG*JyUW9{8W{Lk
z7|n+Zm&Nxdt&zZAzwU!)&V73DXZc$dCwQ1}y&`>S_7`v#e#U7?wu1K`Dlrv1JUX&m
z8!uj5U_Y^tVr6BGkB>Lx`k2q6kr638<AveWe8eJo^ox{<i3$9&<Q*fU)XslesGpyo
z%VICN@5R}k#>n|b&Ft3kTB*5badW<lZeBX4PJ+<pOw-e<-VaWxwzD_)TCwTorky_B
zGB4rOOZW4D-~or^5KNz#jxOfY>Eca@tk_qsTq%3<TRk`=1ijWr*b>ftpTio=cjxzD
z+Pl8}ci>Abzz1q7kF63Q3mW8-4z;3RM@F(I)+`@A!bT3ayXl6@tre-oy@+8C<gKh2
zPESt}L{d_6X@mCZI$!XM7xS+bX`jW##U0^xLr{Mn8j7v0t=&(<D<MIHiHRu^a4wET
zNF7#g-Oa$ri1GUMYp;cuti;sR_B=J~hcYW@<Ju|X+Q$#o)z!N?BPcjOG~|gIhJS>W
zMR~9BVq-p=p)A)Evq~FOY$$o!ZsbG2)%iL--Sn}TL7s$d!$8&e=!yTy{>JuZz{Pbq
zgNmR0&*tXmwQ~JJLP8jXgsw_moC^G@`%U{j;Nonu?g{Ju`c%+jUlImlRBiuK;^}_;
zbV+5CQ^(8<?bH4B)_0ly;nxHnS}YG`+e}p~s!iO}?Y9m3n-}yXl!&gYE9yF*$GRan
z8mvEm{%q~-VIscUofLP~)rCBF0|WnIJCH9>O8GY)4e+`xYu<nGfL>ITis^N1?DL@^
z%@3vxS0SEL@>yNtF>gl26xbSluLI3{iM^K)F)^_ngauijt|77;|4`seh4Az9ze-FD
zsjL*V|4~m4flL}qiw`_ggnNxHwu(!AZLLM?b4<gE`?x}m-*KAEVq#;jd@!lIqNSyk
z3}@PXujDcHEr;K$mEP7vx+nhkAWM)%E!JX^`M6hRc6K%@wVB)8BzpSvDgHJ7OMOW<
z6_a>O`{_n$eYd1hK6kRwTOhE=Gu&aS0@J!Xy2;W6+@1|Muza<&5M!q%a)F2a?<<Rg
z6UOf2FOC~KJ+QH1YiewKKe8g?f9eHJU9)sT;Kq%>jEs!k{r#m{m!BdJddaFEk93LO
z*@q173KBynWmfWidD#YLQzjcqSo!he&tP0qLlYC#pw<>N46LD<nT+%E^WE+3dB~`g
z&b?{scI)|-qOS`_e|$7pZOEb|xzjJ;=IXkzI##4))+F?_o5nM_k6p}EG(>y9^g&-D
zJ}&P3OH$VUHC^2UR2pFz+Pff_qKb<6;DO~}@+eOOR`<QkGRXU+!kX<?R4&Jc$rNRH
zUcJfFpLg`eYWU*w#}9h`TC?R5(n+cs8yoLXD!U(m^VGn`#%|v3y3W*-lfxi-`!;HE
zd1^8tNBlZIo(N~f?a7m$qXjwx82b-SbXF*p3pzUFzD-U#Lo`lkF3G!(--%b4rrE2k
zrq(o{wtX-gaMN=RqHu1{eFmlGi}MqFJiK~K?>x_<Hxf^)zx&4ZbeIR6C4>^v@F(f$
zktZm9^+l@l!&lAjL874)3)!u>?;)>7x~N{B(0e6n;gK(61uE{N?}D`xchBmlAA#3D
z*qj}N{MRnnkY0&R-&p`RPqd<<qSkZM%wy&2i!>nzNX}n&WjC|LufA%Y<-IFYAUQxw
zm;y$;GV<<c!MlvMt@-vUJlQZ&RzGt=ef_$=A{OurB_~2f#A?rW{e}&Dey+VBmN9(6
zL<Z%BK0U5H<nMaAA|bBeTI(Za!+aQT-697kY!pf_sJ|bPlw(_>!Um-UR}aD8kgw{g
z1rH*sId&?v-=D|W2%@2C4(_X;vdd}ihO1B4PE}cCM-?fRx^oc_^sLdnVdZe!(Fi5g
z7iJF;KvUJj+i@_O3s5;rpvIA_lHZpcGSC`8(~Dpa^&uD)r5!$0k|_wyx6l7LO!x@R
z>(2ZehMCVjo#A_yg&zJ)W`Z1jKFmL`^Oj=qFClpX5+X-;GFK%yjKZj11#4@(=-#@G
z>_{V`l+wQtL(Thbp~KmQE~arL!ckd9<2ysnd52e?%^(C>U$DZZ)Fda1LZ8R>y~`Pg
zSH3$Z={63Jc#W5JZ$%uFGAm0MtxpxJ@n}1!aDnbBg<6}q=0yEOE4F*fCtME$O$9^<
z$wE@e6xG!JUR1<d{iFKXn|y27{DINzSCy~^+p=`>dt#-zjf8ex2SV)#9~;w}-2L18
zoz?{c13J1hEYFn_PN)KLTMC|FKXp&X)@z!jA<hY5${w}W@hD5_3DZTd(Jc!%V`oF`
z)L0su8RTe6`wr!P7%zHG=6zPDL!0x~_AV^ioL`&m)@8{%T>cf*BvrI?Lq3k#-2Ov%
zqGXmU(un;c{LkMCMoX22Qsw!iEy|MgvKPf`{0dsaIE8slMB?W5c6Twh=rp|xiZ*Aj
zvygIRI4(W0l}*RyNEK9K+j}z{EPo?1;lo30Ow61PF_IPcE6MM5@WR7aMOuyHl^z}W
z6(KZZoR(|t9BaZdh6zmZK8_FG_abE-ZTIl9EH0JN3low49*A38j2eUC33I&X<wzyt
zIQ`0ro1b^9@5nqIi}eyywjhoI<JITnw09!$4s(JeXie$ze~~_B6h5-pjLJIZ#MK{S
zejhlo)QNp<RaA%`u1Dyk-t!O}V#Q0T%#UdlC|t*wNu_xE3;8N1LgiqE?5&NR@bx|-
zM_(C;pphD8;U6AVl6idN{nj|0r<-Xy3%mxeg)oS~Be;8umY|)~ovGpg?KgvQI}2Mi
z`WP4S>CRt@DCC^Rqtf_gzH~T?$`xgda@S;0J9J4cJS;>3F?Vxrp?pM2OaBVFp&zUK
zv$}V)EF$Nas>M{7ntxHV)bst%pKp(U-q(9D)v(AjA*w#?1_QWbALTV7$HwM6HB9nz
z36s73B)d@LCPhr(B!<OFhvEL1sJf+J(J5gA*%aj`tRb~`0t6|kzb;4-RWLC+vI~V(
zRoypIe3I|){?wEwWx>ruyGK>1&Te6a{WOwW>|uqZYQnE2OTj=VcRBkG{rwSMRm%rU
z_jA17sXwB+;*vEu_#jE+_M{k<=!hX}(+@?XPPR)oX5*c7yFTPLrClFK!_j5AbdyN$
zq%vCRdn3{Dx|74BGE>>~m7W5n^X|%M#jx<ZGLP?{-{r_e^J=-@7Q`t#R%6u76l_BU
zTO#uyE}VhZh&E@TDq0B#b%-Co&8N;vU%4X5$fp|{PMpK@Im?%^YSet?i7RhN3k!#@
z1bc||Kkoky_gk&C$MeBrU>qu=nJaeul`OWtLT>!^EbOGWMMSaqCvi?bT;+<oN|+)*
zr-On?NJYCKGjX<IqJ3QbB8vXq)QM3ygPa<?7=1jH-CCXYobW{ylTfJBPhxmhfDt@P
zEP}=gt+KNGR&#;7xXfrgQ#^~6Uo!vFk_9@Mkc{QXTgsVIchv=3{_>9_POL+{<6UHe
z?ByC2<9xVUI<83uqyi6V9KL@q(`Jvv+S>YSX&XAucT11chjv$x%^xExg?|!DP15yX
z6K2&h@GAK0rKo#~X%8I@rRPdTUkvw!6qHs)7Ze;ZrmSC@(@*MQl9cp+qg^O+<A#N`
z{M!0td2UK^@dhU$A>klIfKO#S3s<6oO#a$F|HpiISe_Z$F$e{ByVk;6Zz*)*B5xcV
zB7;^B`|sa)e00wVyzte$(a41btI&EpWkJGN&D8gMmc5hn*sADdSh2dRCLOJ2PHWWR
zn<?>LgZEU{09%>*^P^#+z|9Bp7Q*uKa-NA2MeU96bvxq~Yl-f2EohG}pV+8tM`JGJ
z_b`{{N9&T58_HN*dCA8qGs;pdYrE?4=lcrOkx$54OprlzXZoWI?OvR@YskKG0TBi|
zdInY?l<E?YZRn%(qB&!4Y5DjZOSQMPMM8<}WB6{w?@|_KAQN&8iN?gjl5BwN-Havf
zF?rxLLdKbQm55gSFb^J3RaIWD#JoaFMiy^+z<q;?<4E`GD0}B(`xX(RrEKXZhfg;y
z%7lhEBSY!GXp{?B<FyCTmK`5G`b}^n_?He;$=sfQzE7#Y8!2YJ&CbhPR#jZ=z>2gR
zSJ~cjfV5p*G~JP)#}f*nciOA6NITjM9-co}<9c>)1r9pZEhZ*HPURU#{RxKGlR9Q7
z=oPDZDT^#O#FC0Ek<^faw(pY-O)L_xeG~lTgH^Zs0pyNrPaqn`SEzbCk)buW`e_FT
zhi>#*N;0zDTL?b2$QE_rEkxleIr$Il8)9s1Hs=^b;;%@FiOcX>ND!!eh%m}nk7iYp
zcnY3Bf36Z>FRUC?7_I=ITdgv?0zs$FrNn24s<Gkw>+9=0NT9Ysfa<_~{&cpF$xIH2
zSKR4*s+tCdO>Vpo(&9P6buu3l<%HoJp}oqAjU8$Y_SKD?MlsoCbL6}%8xuveV%R##
ze~rwS-w1P$tKKe!&80939n<vlI*8e@w~xF|#_RsKbw;tU!Oz2^x~Fa7>-L~(-e{Ix
z;vVuUXJqB?-5HmGiVS2SUVDY<CibOEZo0}O2&z`r#|oOSM+=}YRQ{qV=WTE^K+T{-
z5jLztD0)QnZHP_E?EJovP?r}npca0us){bIrxNqd!QtWIJW>YP4iQ4ckvGnfCxlTe
zz{BGxs6<XdL4lJsL6_!;Jx5DNCzbJ5`R?6i8(zxlSZZVA^6)MVSfLDU6WYjYx`%;y
znIYX<T41Jk^>?RcpH+v5AXpqT!nb-Zd>uA80q#S3ek1mgF)>p2w6*_=^-#j=ZMWuH
zPn5oBDf{h1jhD}!mvgrSEfBtD6SU`*3u2nj_NN74R!lva;t~=UI{$d7<MpfLjCx*N
z=a=W$IZpjLdC802@9zBwmpl=pj1+P~ly`-?PV$*&o@DdvU#Fm$Fkv6-wBTi$g_0+!
zmuI@^X$@=7IK@q~Q)Vu%enXFY_VynlnwrjN5S~kzn0e#!A9A*1gBiFQjwKR2am0(m
zaQkFOZHr|KOBtThEx&*7f%f^`!kJFosQ~!iuzIGX#^49aF5YE6Sa_G;Z@F{`N#?_F
zhQ&3p3%ND><L(1wn-CT@|Eb;D1}A3zr%|^y9rs$osMEHDROOH;A$_n7ahvs_j~6~c
zoYkRlu{DVd&Tz|%?!Q%AlvHijN1p%sL@j*2Xr50{{aY6<c-~;*oM)F~<~iXL_yOs^
zK8cv@@`g|3JN_yaTNhl`I)B*=`P;xKyk(WK&cX0|{35+AZQySuU*hJdiy_gBZ)8&^
zcMNisD6ns=H+^CKHG%)4HiU`HWhCeMm@$$O+O`lzsXhYN5ie#g7rpmDKWrLOrxQQB
zpJWAIKBxJ$Q}5*>+?e@~$Pz{}E%}G5b~G_na!0JkRBH96h&sj8ifsPH&`pE2<ly%)
z09zNORz`hHXfxJLF1JedF<<j?)W5%pVM;#6qscriVvdV@;b@V8^8e;aG9>zN)Gsi~
z?~n*2g}y(ijDDAYE+Q~RFjw0=$>;WM*zpJ)znmY7HCx+iPDnuwId2+XM4PpU?3$Nt
zfA%5uvy0nQ_OeVVkZXsqIQ*2lILrwD{*W`6cws5H`)|q?CBN_W%n8w}kdhO8e@pr0
z^rz~B=<#y6+-8oYbL*v4v)0A)e|_Ip<6`TDuQoq@m@{4;zo#`A<au+&zr%D*B-m#8
z7tc+tM>#UOZ?(P9@k$jsoJ+>HkrqV>qT@BPpY|Int9r4dIrLystD_La*q;?#T7t}(
zncMp1x?ffjVVGVEkw=NQE4zAF8k4y_St?G9<)y&89F6s`M0q6#pFS99J83%@gr7M4
za8*=~B;qJsqYSpOhvghl{nq82S4P&-_TFNzwEo*>g_%+l?mAL7_=Vduo{5zHgY1>?
zAzd#n)@OzxqRJd9PpMal(jQ-ce<l2{iDHjV(2FwKYqBJ%;Z*thcP#k>r{?*5i^e@|
ztk*Ft40f)BzK&H5F5|f^`}hVR)_WRxqfJKLTE_lDZoBG2Rn6R!`z<y5qH*Oy2l9;Z
z6=-%(=#232@ThX#@pB$mpgi3z<$|X))YJ+Mb#;$vl#6j>=+RxM@VFIhX;ftOOiUub
zn;aEf&8AUeBM1Xv88D-Kcgma$WetsPKp=DA@3?V%|9i=FR|XD;C3&nSkTn0Lnu260
zSUp|z#iL9={WV@emzA%~jfV>nIJmgdckUpl@*GOt<fPxfepvuL!p6n*A>r)N!-rO=
zZ+M!InNR;C>+#|}5h~mI7p+lA_%q)fuqB9adS({@DJ@TZWcApbi6UWCuo!)>bqKZY
zP_eNvV1t*CSDBeHp0j=vzAZJ?kR&iMGq>L7M?)AG7+xhOhXGhclai7m0{BVsx&aP-
zAs2Yuvq7ng{z8D-vjDJF;%8+Iotl~wHn}Mv5XTZ%p!^^)At6CNci8KPZ|?ACK&=dF
z(_1Y7x71JQ14QJOwUt#N^~79j&~2-Zu(jT6;$FO=_}64&Rn^p(1J@Sbzvt!}E2ub*
zeOp?36X0w+m-O&&aZHylU%qE(XybCC4KDG%iHS+B-`hyyHf1QnjVf(gx3-)`MMbsQ
zJ6|&@@}uzKYow&Iz$R4N3_k}H!*?m=(cRcw#h8b3a=~@fO=g1tQ$1-9Az<ox`<4lS
zxF`U#PzbNN@3#Do^kIU5nPqo04GIabc9?br5`+mrZ;h{GV+os|E+l{a_)!2@iSyi@
zrC+}cxpsgz%GVBu5NcBA%B<uH=uYEi^GW}9LOL)PnYe-2M6``15`eMQy07WSPO!#@
ze{0iD=i*jTSAY2N;XrayQg>?*_DEM(NJ&Y_>0rQlJHQ&-=O>%ONm^Pz0A@y^sKDS1
zwYLWW^jGwCjR%TzE#@&bHiVLdq!nNR7AB^l>FG2;{Fs&YSH~iN`nyHfXku!b5+C0I
z)-VjWGBYzX^-NA0*4NdQ148TV?QK7jPhjq|!hDsCY^y&-V12ZJl#!9q`|mHM`i2Gp
zF|jnb<&9K;<jKLN#$Q_*wEqb2n+1eiAth}GWcMUw<hqc3mijw^ZnM{Rq{{LRTKCd9
ziku$*-QU{-tMgZiHEH&}eX_Tv2yn9*)lW!=C`m~f9|3!~R;VPS1eo05Qvm)Z-)YcM
zMJdpVc|@|r_4p#TQx(j)xw&8gcZG$8ccguRY<MH$!l2~3w>oA&oP!D6Kr%q$z$JZ2
z5eS8i{Rz;Kjgu3K_51t1?g;=#TpS!6o`Dj6$CbAe!AkzVpfD>lWVzR*Vg`7-n}<if
zS!qqJ*;KGq0m=Y5_KH!U_tSrY-ak~p(;LM}A1M_6e~U;z9xF^Z3izLxbiMEYM4S&M
zxPeOf2jU#W74V^I^lIX&Zo;vCK8HIBbaqdZ#!>4T3AtXdyX&^R=QBAqg@*W_ZY#R2
zPm+K^cEGB<PEN*=l9ECKV`5^w8@g$q;sZwS_3O1Fiv4V9xq}#x{u>;|Zi2^<k&(@v
z9_>(yIN#`sriqA*#FtZ00Bktpj<a)Fok{wi!9kupY!8(O`UY@v=T}$5f%&l-%9378
z1nL3@c!>#S4iyK>0(I~h3F9^V;~yG`_g=io7SzTHYCTO4Z4V`~{@E2pDdxfT<;`sj
zPft%E_RtX&pwGn0nnv^&4GqoN&8-871ztcZpD<90y0HNYModFP5PMfiNg9C6@e<Pr
zIMk7peCSCx%|qV3W0jGW9jF;FvMNwT%07PNJUF2RIJG_XmYt)>#=^pL%*$6TdSaO;
zYh4(3eI$TEEpuH|mXnu95!4eKv)aang*s|$#_9E!>E((G{!sQ7*Ua<+Fzn;)t@Uoi
z<@9iyi(O#oy7|Ag0PNXjrH{ayOGrqpY-|j;{Ooe+jb}$4HDH94Vh1HpxX`u^w|_47
zMgi9n5ph|}ZTSx1$m+?w&!GAeq{OG@wLpN<S=rpwprfM$X1wxyvdju4#(xK&#y(l<
zpQrKsZprie+hc$l4b1%#z@b&v)VvD{!hnM2L9<E}msALtHY}@-WqP6ZY;Tt)*H}}I
zaT+J1HJeNrM}fKwJLj!i3E*BE9nZnbnf(b&NKAa#jCpu=F#AYTbBLgivq@)ded^=l
zQkp8uIWQgKfR<N%n%34zVH&_bUxje>YrZ|y8z^9oPHin%w~>L-8ZH(0QXUWiz$+fh
z6hwdczy;-Hl4-r$JcK)2ck{MmND+#AD8qSGl$2U`S4Or+bu=swx8{vP8G~&sAZ@V(
zMllrd*Wz|!89`0gkpH{7K&DHR>J^w{M|Za!jY5+&G8S+*f;gud!tITC?agG>{5?ns
zGS`KUF^MYA*!2~Aiz`5|VEb@Je6`Iw`ATy-MrE`-j!Qyhb{N*mdJ`p17KSQikvo@6
zSP>I^q(t)b{Lu5XQKUD|n0^&ai7lr!#Wm1_i53$f{_|L#GRNhv3=V{S0^*yNl!!1A
zNa#~26&pb;qZ6ws7bLr&#kO3k-ty%w@56pk(Z|$@#A+E#WW!miQ>u?hd9MVTu87Nv
z2-<~U-@;eHK|TE$-_(L7Lipe}dyCuxUzE%hnN#U2;WnB$;#e(i1LDR=HtE8oN!t5h
z;y`##p!m_PAKC2~cx831R_P@;0R=l*!Nd<yug<P%r%ZNCRz)zE1H0EmnCRuMp+1&2
zx=R^MK#tDXoNYi8!W7H~378Eri^C&h<Sd(O|6W{ASXq6z5{?#Xm^auKN;MP2i_KaU
z&;p8bUj-9SfWm_ci{X--q~=l#uU2+hzuPkgUxw<6ru=d|NK6getUoL9#jBXejFSGx
z?fUO^BL5E(lK<a-l;@7*JOrJ@I0j|0JGD{0s=@c?GLxJ^<JmSGY;5nxXS%-*%E>#9
zZrWGj$Qg!0uK2CSsnnfPhOw@$?yj0z@!r{8Dbfe`Ry|`isd#~bsI(nZUgMQxWIa>W
z1=IWA<TC$pu7KF%iny<m0V`JyJaw^b!4u$|T0;n~ze-P!%F4PC92}hGxjD16So-N)
zlwUw#V8qeUkrF6i(0be}c>~D7d~S@S3{Zj<A3x5+p@NKX4wYt<?zCOLnU$5*BL1V<
z@9FO5EZy13!A*nlsuM1|nMQA*j*isE?s2MBW$INCjVa!~ecS73F==}#&8e-YXC=Qc
zP9UCTuI<HT!z$Z^am(+Ojz8+@d3Z{C*Dg+GFS;VH2@C-vshZ4-27Z4T!~%(2_pHo*
z|BR99f=Fy(XLlK>nKzPtRI(xXt?}$S{cCT;y|0`d@3ljo9CChk@)Jl+MQLfY=RrZ+
zy_}`V6A*hkfS*L&nn#ApZRur0ERJ_qKy|aY?+q9ggesE*#lI}ZN@A!{=Mjw=fKbEh
z;D@J{iOC0dHW?L2kJnIqwZ6QJ3_7r1cVl5%{a?N`&-*~i3kicB$Hx!gt*D~9)|ReE
zDP%|mG`DR4y$rcVp~*u4#~{blS*(SM{~9^Dp5qK>X`>9JoI8~<F+>#HM!JsapFiIf
z6%!MH44G-F)Le@28h<dvz{T+s;Lvaafx4tuLM5oc=yKJ3foVcgSqmkM>j|hVKDbJ7
zxNa}VcXf7-*<!`|>(>?TW@`gc1kwN|rBqdx3`xIKgA$WE%Q^@e6AtE69tl;QRSub{
zsmcg>^<b3Ys;6tnS2;?2EIB#3mcG8rz<#21OMiEE&=7$2P>eWa6Z4CUF9ObYGLb+&
z>n;n(s}_50AXI@y;0e+KS*go}sb@CiJT{PJEqzJ1I}bhs0zL<%AV8(c17i2;)hlFf
z^#KVaW?W{Cl#p$sF2y3C3I^Uk;=%s%Fb2ew4iGv;#z>u0B4r>{0NS#H+I;G9EE@+$
z8)Ry|Rqf#TNyy0`louZ#Y{tNfpb`zpuo0BD3sTGLkX<j1Llw~8bTAVET(E(mex{_~
zP_818FEHp=52g$StNis}SNJVMVuQ*NKut3Y+&+W^>;EL7A(1-W!l-v!d46&7=>o;C
z&d<+31Cz=rD<eiYzJGzRZ~K%U(Y=UcL=@!Yc%iz%#l=O@q40dA*e0L7g>O}MkNH!Q
z6B89cx4^>8?DC`DeRpfiLP-f%iC;)45e^@0)_pTG+Ud&2?MY@nFM(Ybf3k!x=Dyki
zwvi$39SfTRHun&2`8}992sRMMq>&-6gy3JkZ0+waNlHq(vbfl(A$2xtmGWyZlNze0
zLy(ghh@AcHyGe?G4fRZYe6&+k+FbufCmk#gRl#J4x`)40PhSw8^=*IkiWu1QIHo#C
zYJf1+J$&f{=VYn=$1?s4rbh#*ok9-Z;-`OykuV;DDk<Rv)I_EUW`o*$+xU6x`yYFc
zHCOJn{4-B)hfN>u>3NwZ?8Ks!pO;q--}}Oe8gLMC_$GLjf+8)c>3FpW3b|ruF;tqj
zQS2AOK=nSgaTvq~13MW{|J>eR83|R$eGSDGP^J8y@rm5V{Gy_%VAsI73Vf;q%|$;L
zL@bj*soB6)ZX;e!&ImZT{ey!jsgQ{MByWa@%k%yHeG`yw4W^4J#`WB9Hqkv+kovEQ
z{h100llSSNOY`4ePJDd)w@pnFP`4d{+9EaS<nRzhQ1kHcxVgAwgAfgyfT{zM#@Jsu
z@)5nvL3SwF4fr3%doD8f%B?V`Yn;p-Gr=eR?s!SscgAhjSZm~7REnEdu=kG@k_Hg?
z$Nv(y^d|pP+%n*h{Q9+}Sv6Sv%#%Tht2G}XN&jZX<NcEA@pLt}sQc>ujQyP*Sp@|w
zH&L4A<5f<tr%!X8W}6K`J7I5ck08;}(UcNCf<pF_NKk9w&E`Y&7>RvK<i_pW*I-qa
zXPU%Nq83neS&bFyX)0$!{df2)PNU56hiIkU1fjpb|75+pU7c62<n`X39$YBruJ(N>
zfkNM;-VGNeQZj?;ucNbb9+lQh`HQ0v2$axd!nDi+4LrqbfCoTdU=7n-9xI|i=BlS1
z+d=f9rK{`Keg^CW25{w9t&gA(83GlN>(2T4!6)m^aPq}-c$EHz&$zH!ab`lrXs9w&
zB{Ych@$Tc@jp>^2{GdpCl4(Ew;TlLf9-ECr*t!4kq0zt2on72?NLtwcxo~0g4D?+u
z?<T%_HAIot`x4~5IQaONocE$u;V{R?lkHsR`#)-04BnmWe8j(~rFAUmU;WnLc@yGk
z2!zVku`zN4R4LC;s#H)7D%jd`e5-t{^Y}IxMo?}pBT5panl4)Py#fSUbKt)Yp>o%m
z-v@VmID2tE!4@m8hw@3J+{V=%84^!>2RMOW_}tegYiXH%Bs2rkvUym}kG1J})rWf%
z=G@gyw|cHAlUnjpme~w5AT5wfm%IE_h@=s_`smA>XJDq_uh9@V;h3>-o}8Nhi+Y7X
z^#7%LC9%Pwn&IE-l`IZeuWArBUROUkImrd(g%?!dSrcn$h(az2o$nSJpa`fapjYq%
zVjZ8|I9Gp$#B~(FFl*+$KFJ5+9Sg*7U7uew4y-)_@eDUNK|w*mBrGLFflDBm5#Jlt
zS?pB<zzih7B`0>vHBLgPg&~qWyy1Vm!V1XCHN^So?*sdP3RW<YWK|X@EkOX~(eQYL
z1^>EG|AI&2x15S<ikxo~)lN-&`k)m0+SeB$njQ@@!bjjgL7WHV((=lR5||cBXQGp@
zY6-H4WC)0{zWY;;a09zz=x!P~y15COnwU&x%VK|<nsR9i#syF-ztv(6oE#tq8UX<T
z$A^c`D_`@NE*h&%_pg3ORdC=#ul6zZJj(D60V^|U@~JvH-iDG(>yMA?)C!bK89+(p
zLA3=cT^Xobu`XRocG_Wf^6mRwrOHA&>;0PsQUMgiGmv^KH$9z(RW0>?GiH3FXb5`C
z=|r9i1;By{pvhe9-Pzt|uQ8kY1n$P*ukCq(WOTM*r@#I^y82;}PDrvI+u5l=SqLbO
z3shR8YkR5y#X%V<D<d-rX%<S&GOS3K*J@FQvaGVveQZMNSJK{EO~S`j=_d=F5fcL!
zP}23e7lKA<CtVGNXazlg?r3PXLL&$&JZ|CH`~2Gz<^hY@vY~}%=|SPWOr`!#cS<J=
z>bOAN12|6<_`BjQ|BKalcM!?aLY%JOd~1{4%p6~lY9v+k5>@2Qe#(SAYRMa-ChC|g
z@iQ~OfP%c_tH=FCRBR}cy`s#hJ0k4k4uUHefGpO(=3N$c_@-NQa%IdQlT_LLuGERn
zRIs*rkEvOX0-$HSe#dSoQ=*jgtsS2aQ&2vh$^_diZD1^;f8Ee12U6lwKrP<`BKtbd
zf1eeg4e(I1YrM9qU;YCY`<YT1Lm%K>a5GR@Qn8;bHhg0`Q;mO6FbjNfi|dmo+aNKu
zp-~8uVPpHuy*oBcd6Kdl^i6B$T{iA8qIUa^m^I7ztI3D1a=YEqt6ds?WKmy|-77tx
zwA&C{JJ@d@e#O>}23l4KO0GE4<|ymzGORm<WQoavL<WR9kE)_oMx(=u?KNmJkS!*J
z2z~Gaj($XCbP*qb@Ts)g@*N9`9B$Yafw)4Nhp`<22Ep%xm1`*W=n7am88qK*3BDvj
zA}_6zI|~U@q)&tvTq%~dkA!NK<?&Y!LOqs_#1uXB7TOlAyseCqOGQb91_pw78lyvR
zOP33ubchfS5-;Pm1WI*<7u<Q!ma9c?TU@OrWQH0lIc>WLf`LpXd||vJPmJe{NLG}$
z#^w>dCmVQ9rpIq7)-ah&OgKk(!{mLI?$pogmcfKl@&xiX*_d;;tK^`PtYC3?_le(9
zio>678Euj{40G#CxW%5@4|!G&0Vi5__A_U?z<YR<3U^9NG9JuOx&-KkeY@vLA|!!&
zyU^q7!W=I`HJ7*+v33Kvq~1<g9~RDY6g%dSlBZOpa7TGe66M5c^A3GAxIwmi!$SeH
z=#?mbxl*iCZv@LgS8%|y_v_fz8_s(a_pO;zMu}8Hi&QZiu`rEPS&%!EcPu?<UW~s5
zG*9hY1@@SeZkRTn&*h?P?k%h2t;sr%p1oA&Cer7WZoH#1tJ!#5?@xV8^~}Wc^(|A>
z*dASOR9y&>Qc!Qfxsjia!O~;lct%Q|Go!1}h^_ld7blf$Y3#A4S~674zqkqXe=D6*
z7&!59_hsSa1rGkkEU-&@>GNFl4Q3Wu$%&=~Ql{BlY2*p;2U^Rouo^N=&4-D!Ex2r4
zOvL2CDUEOlX`yM$+y4~D<hsPyE!UBI8u}dl`gN{Rwt5yND4`KaLhUJ*h1pu4mwm{>
zn{*iq-Lm5(hKJ9+IK@MDq<hm}@3l0Fd<*Hex=o&ey=ABy=JPR`vVhFLbBqW>LB5e`
zaIMhz?-KC>k@fg+Pw_SXP+U<)=fQ6JRkxLjElNqk8+dozu(4GWRV==Fizo8zclaPd
zXpzx)`h0nPEcTXm*RQW*Tl5ZeZu|{PsAtBN594R)<W*%qb<J&f-e!H<1TFLRq@!Dl
zp|`fnkIOOH*ny>J-_@-S!-@CKs@7B|zwlHmxZR`8sUG(WR!albSs}f6Vvw{wx^vm*
z;7@X)h4n`XoX>ElmmPA6F<Q(X$!(!_4Cu7pxL^jkTR=YYV0OH!wcw|}4+5hh(fqEG
z$^kSJ9(L(4-_}b1SZQzi!j+gl%OFH>WM%6tzIb;SuHmw}jv>wT>QL=n`wb<Qy(D<A
zt;G@VUc+#hH1ao6bp7R|f>g1!Z6vU9cRB2J@ERfsaS|G;SA_w@8Xf8;D!i<KeF;rO
z>BV7B`8r5LqLk$D-?6_SKoV;%Xmb}?!j3h%G=poEG@SC<$!X59EhtOsqVz_Q0tTxs
zesVMIjv`=c#fxRH=rIC{&q?_)T4*4ZKDOiMjdPw)c!mP78C_%KD)BNR&sYsE6+M6n
z7plW{kINK>ZFog=Tu58$kMi!Bqd4qyk&y^2V)Pqa9EJ|VqAXf)f`ZFn@4g^g=E!BB
zM?V1}N$>U7u0CnfiZsx1$kJ<6b1!|I@8v3L4Y_e*7H6foLfgI)&i-8S-WesJi@6!7
zG(DxCQbuq`;QEWXy!KH(;81VDP{WL_khF*5e$d04eiKP~;QyXuTr~gq;e!55!3aIp
zof0K_IoeyZWpK1|uFBh6-ym;ha6y<4`@%!@fGi!OATgeb5w#C#Q)(ihHFEz{{}xm=
zOP>!kgWt>d$?7(0*An4*wxWr>vwx^kY+XnM%a1c@K@qs=`ouYtDXt3uFybovBi@8d
z#@~w&qFfpejmQVs#nxZHzIAw$MJ6dsVkahIv3ty`_ugH#P4ri660!SzW&CN%Qpvfp
z+b^?0z~BPUwFB~yu*DZ~>Y;Itih<2v9f~s_Y3jgA%XSXspKo2vw#|gmzTjK4`MDHw
zfTl{nH44t_HPF3ls3oIGt4R5xAZCy7CW}TI@##8Dh~|IW-PIQ*TP+K3X}>`mgQv9y
zl=~<lP?kB-+%zR6APmDnUyH|0V};YPmTcP>EF$zNr`-cxHk(&BR_P}T@E<lWbmz;x
zuD9S5kDxf(ar%2Bbk+*SXkH{Z_eeev+R?<lH$_2d`teq}WvQ5Rm~6gewCzVmq4&9U
zs=s#QtfS3YSO@vXs-|MyhWFBjg)PQ0UBxi`YDxD{@Rwqh>P(j;%L{JAUpQs!)v288
z2*^9bd>F(N1JKG9NHW*N`CJM<eYK;}aR;LQ3~%!8oUyUQdA(b0eU7_o&L6-wb7)h@
z+HYX`76hK{6H?YO-CcyM^?)LFLA3A;bM0P+g(MSq4!njnk`Q<-c9wu^jCNX5BX1+?
z#ig{ucv7%+9-f_yn+Lm-^QR}Pk$A5^JbN`Ts?7o^-oT%vDNon{A(YJ9@UTU6<U+4y
zoxFV%Ux`I6=}k6{mWJB5FV&(9A;Cpo!Yun}bw53((YXf)WoC?kj&qLWXv!K5HAJ(2
zdl@WJnH-rh`eJMJz<`eJ#09Gl*u1Yq#lKE|+PGP$z~hap6(f&X)W?iRgos?C@c?ZZ
zTCsKbVTc)X=i${mM9I8{u`k(B9?j>^h-KjoVG1IQNg1mra$Jgb<SKGpV#9$FOsUu1
zDNW43B+H%M0C9y4+g);!2vB0E&GnGC+TJt$Bgv51q-2lgGOiwqEk%|8b<Oo6=R8h;
zjGhWFuU6bp0%HynQ%=GDXJh?0cR8+2#`4Q8gYq53N-PTszwqS+IiO8yBSHJDDmu6N
z+UA)e@3$EVX-}(@>#LuCE84n0;`U2T!5Z|Z^QIuxJ55uGZ~kmpbTUHO(**UJ#+Yby
z$Y=dEB)E(vPxl|qe%)Hr_6L4A^-pCVr2C^4CQ4D5DTnZ!bH85~z>p^Vuy^)&vlJPB
zOd}`Dgexzo-1PKdTr^npYtHLGD%U~&ZWKC{1sMH**WUMk#VdbRTMoZ{aR0sql#M7l
zsgf}73o{D~13Nn|6#6LKsK)V!^ICCDYLXLZ<d2R5&Mn?TMTKffBcu_H=X{ryg+Q9g
zt)3|v1+7S^QWi*R;Xk!M33o)z{g0S|rRg7mCY(?}JbZn9dlTF@B>Q}pvqR_B*CY4V
zCaeLnumP$xVb#XYE&_@#{rZwxZ#Y1ym4HftT3=(0*YR7U_l`5rHyov(fR{y;2wPiQ
zEhu~m)nfrHZdgo=aOp?T96|q)%)1fkcOxh<yBD;%mHF)1?uf3etRw?FN=Pk&KtjH|
zHbDdhw%2CU!4{NrX%nE~5#}+eMbiJQ(xZTbLuhx1sIr@Qe!tES&^sy=Zg-XdC=vzq
z3>4}P0>jL3`*vOL27_ZX82xrAXwzQ>$Hk4f_kmymW`?gf;PleG&J`0%kO>FHE5P77
zKY7wH@4*s>3&5hYhewHa3SdmofTtG?1)3=e`^Cbiw8;3qyc`Av3Oz6HkoYFh)m^XX
zW&1}^%@ZJJ;Pu(HL3Pk9_9mbfU_?WTz<9bSG!A6^b6><ZJ1QRZ4OQ70xc&Kl4S~Lc
znDes>Uyd)JD(4G0_eFgQLjR>BXlO*$d%BDD-+_t4UEkPnD#X|F`$yU&NL6k-#sO_&
zbkP1M;j`NUt1&+}7YK~}!pA{LSwOk~06E^@hyW1s20#CmFJHcRoo;udnW!Oy5(m`K
z!x3uM<U`NQj0sx<l_3^r+=wYD0ku-N!~O!`ZYor>9H61-ii(P=8RFN{#XJ?@GE^HR
z^wk8k0ve%dXov&bB!0F#0{GyEvVJIWXkZCZofus)bTF+GYrp|Tpw%<Od+8d&CaiYF
zr-^oDWifNp3m%`)pz6*Da0eSZyR^DGA&*&O81xsR<Qq%(wR>l0>BKz$$jQh&znyK;
zH$8owM%1kZ5Ef&e?C+5%UK5yVHa4~vAP>Wh9qTZG8Ld{H%5g=lkAbEpl1Db<v&Idm
z78>+{ghfSl!rZoiGY63b$?}f|VOLkzEr9$`=+M@|fg%*Ks8+7Y$;mk=`cOlHvj)(1
zB!Dy4z_?Nh*;4|3vz>WyicL#PivoK=miZFZ&II7uAt3i<04<0E5{;B(FsB3D4zN!*
zu;pc5+g8+)zJNOIzAx*C{z5A#eUo`D(ZNu#5F0S6I)UVh5oLB%Z_Xi*fG$u0es}4n
z0o+yK541n7bqS(?qm&d}<a2+22Q<A7L8%RGot9AJl~q;ApX>{t_dJCn9RR&9tLc;D
zW2=kvv&ALY7Y#s1IE4rM`ij1GuK;PyWn7I<B(Y13j*jkpxMc}lGTK*^X`np16bQH`
z^zF8EcVmO~q4q3<h%OrXZGlt418D57hDK;{F*h8)Ksfy<bPPl+lrV=7fGTnTTm&W<
z)q9JA)qpz)WCBSEAXs$NqHZ|N&CRf&t#IEE;C}ctqLts7nGqCrPEAdXa$9ZiR+QKV
z@N7fN6ybXDQIOL-ajhHPg%%4JFxVS>d?WxibOSJF;p7wpB!?A92$%M%oo1uKGSLwL
z_fU;zryEWI7zo+bt8JZ~d2M}xK26Qv4?jm$I!up?muPcHNnO<Q#a=f(ZWsq-8s*yN
z<}8pq&@EL4Z9U30q~nm533`JcR0N27U<81*?q?X-S@CT!vM^}wWy>1^U~Q*$@XHrM
z@aSDAJRkaO=3qyX#l86hi!y&jL_}-@pr1IcfoiNR)Z+x2rq%c1SLnM13O(n$>D>q2
zdT`n-cqzFO@0r5+1-Atascq2p7aU6Kg9H8s)o%p2-^Dz576lNrASP;#6D*C|zy*9B
z7<ge;8k(N|!@Vy6I3v89o(c6{+YF6OO??AJE0n!(c71+a(+9Y^&@}q}Z6H5;`rw{n
zo8YJ@0%Q*8X7EXOl$G%Srw;y|88G8}?>9&{c%3F-Z@5hBM|~eItgT%}p!e(rfFLuz
zJ8C=c4jLQ9$tWloSy{1BjsS>)S4l~s&^UGj8oNAyxF^+pugE-9k(xK=_*jq9V?lJG
z*lgS(q^6-kLjV@WAs~=9F`))&K|gM1EL_nFD+tm|zq*f9bE`khq2H<vx~4h4&sgwU
zpsd#sz4jVV6tw{L`rGj&A_&F@)V~W*=grQ}zBC~}DhawqL2s0p<sK_^(Lf`R42%j;
zCT0<k*_5`@f!(3tlAu$7QVBr~@WK2OEg*!q=$2tz>L4t_1Q8Cl66j~Hp#U3D+_*r0
zyzf>kHh7i5q9V>e^=l={H!thyvpDa$>S}4d_C5pmv{PaCP6fM27&^^zhix2#z$n1g
zqk5(FY=wcg5Z`LSI6U1M1SyD3bKg3^OJR|baxgs<v$Asx1e3IfhY+lT^Xe!&mq{%#
zD3oyU@Hh+{f!2VqRdT}ll)_kD{fm3wX8jruh=piDTyjb26i5mP0|nZq!S0{0h1>iE
zmDV#r>cDPk;E=aV9DEM~Q<Y(V0YjO;m~IG28g1hxoSS_jr_xH7KusJI5uxtzSVcA{
z4oCf9VS!~bD@gWjZh(UHYcj8Gh1#*40BN>A>fCsFISg-eJZpv7V`l7Frm8j{iIs+S
z|E_Ip-rS*{ft<odkZN+n1ELYgQSb;uF(6d(BwenlsS$y`>rR2R0UWF#lq1>OyOlb?
z^4(EboR&yVt7Bk*fRKpDvdU<9#cl53gw^p{({4?2%jS+bgr=d*gL#hzEsg|DuB+uA
zKVl%IB@+`9B!r<Z{{GQ6g5d)LYL(LtpDQBoGW{JiG5dSu3+nB=dD<cp5}n_^QPuz8
z@$mE{!MS8sT+N??55JH*u}mWA>RwG|@=u+F(&UBG^n4A(Y3UqdOwG(VBsEy#wocAO
zBqc*yEdq^-L;4m|kM1p>>7Os(IyREY9uk%&_V0hvqMth)sGRrQtTf=(`Qaf>vA!4w
zzAzO5Wt0NW^FUw87@6!qL$3U=gWcU=<vet7d{I$R!-viya#cq1r4vD1eNH|#4~$fi
zT%ljv3<rWitq635+tf^#P1!r8-eu`5)Gu20Xecu(4i{R88MUn%vKO)}H+*=`odLv(
zr3kgZ)a~2zFQcB!;k{TUit7<{@dc#P#T*i+JZ)*7q%<Q|uRo(ytT=7oi$9E5p?`Fj
zX<`azU{ZR{r1WHwpSI7cyix261GxRpO!Q;Q581>6+4@EF>FU-20d&*T(|zip%R2CE
z8^Q`M#@Bbb#0YXUUT~5zFc{&ev&qR-62H+53$vj&l+8}i<w;6PM;}gV$9<t6&K7<U
z)H?U5$;{k?V>k1P{I>tpZDL5S|NS+*dWiXYV8Ed<VdO9T3m=G*yt-V8jK%Z+0aApZ
ASO5S3

diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map
deleted file mode 100644
index cdd3362..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::SPODELd" name="bayesnet::SPODELd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="95,226,238,252"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="24,153,154,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="115,187,155,224,152,228,112,191"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="178,153,312,178"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="222,191,181,228,178,224,219,187"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5
deleted file mode 100644
index a8f9b26..0000000
--- a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-c2a8d41159422d470d0010f0fdadea9c
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_s_p_o_d_e_ld__inherit__graph.png
deleted file mode 100644
index 4949d442bd6dc2843783694666100276da2bd53b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 13621
zcmd6uby(GF*XMtP2q>+9q#%N#fYKnLbR#GsB_$~!AzccB2#A2vAtK$~Eh5sn5s>cg
zj#>M8p7(m6nR#dCy5^r559b_?XS?_PyYIEu{av5+CE&4=Gyy&pK7t?wvN95?2!bID
ze`Da{!0+JSu#<;>;TXzGOCaayzrNO_g(JvyL{{R_Q|GwVziv8DU!RF?piIl#-eNM2
zz3c9NEZ29h+A=^@H6kpvM6Y}J`K(E9spYe|vh}%PMU(}_6WMS^?hbZ-<2PBJ9alF?
zE%g{~$`F4ZK{&bEm-qee2h_hJq0}GiYVq+;;4&4NKRtZqY-??g_!5iZGW_cwIRTX}
zQmU$|PGJm#x1`=zK9-}U<T6q4D_JJa2|w-NlJUEhB2pxEU#$N^YYXz@SruWApc-Bc
zezJ6k^-oUU^jKlHJ<TfYp5Nx#y57WM+$?y)48Dq?-DF}zSN_LuGd3f>RLUtTN<Mvh
zMLkDrfO5AOpE(?lqk2Ou#YIm~kMh2uMA7Jy{p|0n)yHd9GP1IdWM%P=_SZvh%13<F
z$kRi--@e7HK3d9ho(|@ln40QcSnlfRXkN~%`&f6nYV*p@uJPR^ihP469PA4hlB7fE
z_?<VdCwQG5N<Ggb4xWtI-zh9C%y-$I`<dRHiHU_3`uX$Iv=@rZWP{nyeC}xEPB_&a
z)9UExyqfxf7j%sa=lo<|G`6@ioJHAiqW;ZLl@mu}Q`6?J8zB=d^j;GB`q!1>_%V>~
zMF-6y6N2Brf5&|HD=g&v{{4HsF((GXc;iNBTwKtIO&x7TMFqddkwbX4#(U<_s3=PK
z;2)L4bzY(#?(Q;S7cN|A@9N5PtQZ~DiBU)uEYoJ-;0T$WomHEQjEvmwO_ArR?K0!$
z<lxBbv~pY<jn>L3RpPmJ83%KsV|oXc^Xk_p2DOO1jP;V;q)I{Qk2I|t8ygn$A=G>y
znW95OA0cW-<DUdAvO<}#Ffl2qsV!}zV`@W~o@r_Q?(J0#T+jOi>w#ammgjNrdA~Cx
z&Ckv@SJ=<@{`nIvcUvhzC|Xidl1Vm4z0KPjadmO&85xPaM8VD^s}#-oE;KZB&hau1
z)&r-tcB_%nP^KrUs+5$JG87aPjtkvyIO<Lc4=?VOp!AHo5`-7m);e=_tL(;WJ(yaz
z=eznkI)W`xxheks7kQ`%{E6s0;e-RN#$4v(pUU;Lwg&X{^f0xmWvSb)3>C~BS;ytx
z-eFdZ`O!k>)-I&`WSnicK{fvTblnTj8y-7j%R@$4+0@-#s5LVQ)h%e@%ErbPygE{5
zs-i*y|6lgOg9nur6`QMN<8yNzu`c5t`vb#~?d=MJ0s^+vKZAF6c4lC8nL8PRq^{q3
zc$jvOdz_qMaC)QYv-0q$c=?AjZ074DAM_@Ub^je5jS35EEHCGGb#+zELxnSuk&-UJ
zBf_qdU%gr&AIa`M`$a=jN2fiIf}^*qD?~*_Mab(+NLWZHDlt*HMz8D39Su$<Cf}Le
zZmjzE?{SwL1esY_`dV82>Ag-0nt59@-CVVDB5Z1Q)l2%WCh-~lyv(j!`I)2kfRWyH
zf#K-jVB<#s+1!4AzmvR2{?qwVtC92`vvwo(@L2IYhS&Ws;_i4BT)@WO2;``}E}Q$j
zE<xO%FsFp$Di0wwZ;)1w`reL2k$G`e87%c(WF&<j0kt3O?PaYTa>&d?_bog|M#fL!
z;XXyCU5%}+cxlRsKflX{>vK~<7~>*CrB>8*9y==h4;~oJcgA-w?`oF6VvuQUYrE8!
zrrff(I`W9Lxw-jZqlqXqHZ~B_IBFz4-(rBZyt2}8W1;~U53gadFO9AASv-`xyIRHR
zKh2Trcwvv_l01(0t_SQcqp-Z2YqghrQUu$6|DIS`xtx+IM3W{(kdw?ltrJ@rbVzMe
z{RaLltN@i|#Xyy*B9;dMwXwa;rF`+i1qK$Di&Vil5SzYvc^q$jd<tB5Er$O5!9e2T
z<L|%tedXmyDS=cn$pgog`u1op48+{r9P*j+o<4H4w;EXMacsCf*8$6MS|1xKHYb~!
zn(EHc=7aLWAR<z$DjYBPn)7_Tx%q-?&6r^<0gug?(8+F|S2KE5im|)~=VzzR=coIj
z(b47w>k&u#8J&<ppFe+|@Td1oS8e-KWV(5@oabYla`>N5<c)!~G>}SMwiIFW48yxE
zlA}rgUVTFY2J&iU=>E>iA2NvKhQb$ZpP;yW{dyhouB)p%^x!h>l#r0XMxRD`d3lu0
z{z88SnUJt>XhMSZ8AgTsA?Js{K-<OMo0sWDX!=qW#g&u@zkU0*vD2q))aZ*h=g1Q?
zURceDeYfO~CTk-v8ymr&KYw`k{;Ja79r%;+gr&Tq0v?&}hEz~`@!CL^#`JKBrJC4i
z?|!{1?cw2J$wzzLpUD|5I`5AxJ_`#c_q>PKU?CsrML$CR84VYkmpgAV3JD1j6B8rI
zP=V3K-rnB!N8A?ux6r}U^G!19zLB3m_RkRdkm_n7C`R5)y?uQo<m7%sLz+-huL}v$
zz!mVWtc<U*v9Y~ONz*Vx5qb6M)k6b=B$q><i$qg>%Az^8REV9O-KXg207&Z}EiFb%
z{TU0R6<iS5CjUGEB@GRYY^@S}diM>CQk!u?p9Z8xFJxiC?B!5?(y-e!m6o)4ONEFL
zyF_63r%TsrTz3sMH7TJ`Lt^nm{w?jgQeDRRNX7GEY;0_2cXxJYu}{G3%-wOZ_uaK?
z*O*!%%88M#IDsb_f1%V@R#q0mP2}+E)kOBQB29I5spOtt22FlY*g|2^sdaUts2pvL
zMeO4eOH})+LZV1K)QZv}W?6Qf@=xsS?4yM*F3H+0_NJ_$@)9fJsnhPT8;>3g6c|av
z?Gp-F$HnpF$vB5zwWblhMOL3Nr)~3xs}8odNy*7K;^X3m;Ow^5YznvD1^ErCMB3)A
ziut9~_B&`RTFr?0nK|qd)KI@LHoo`ZLDlb*M9-s)-k<Rht+l7dtHUKUAO%WR)pXvR
z9?mD;>EMf25PH3IC4^2`Yu)YK!Xo^;029>{MUT83qKGA?yzvpolLOn-)YL)q%T%f@
zIYIUwN2>Isu2br20)dIJ7fGLwvNJ@Lz9c4wJV{fU+^;(q9`ii5Qi$QskVUZ!`+=75
zo-s0N`S_)!IS{8{80#X0K!JV(rqJ<95vjA-dy~Ff8aC97w{GFKwzdvx)etvIwI-+d
z67x!mDdQSEVcLOjQ-0dJvM49K>=g7R{`TxCo^Y_#Hdm{afPlbYdRoWrTXkm(Q+tjn
zDTBEwIo)R5qS{qB3=#y4B|6-u6wlK=WEmvvKiRt~2Gx_vP0CuL7<|ifC%e>0OJcHK
z*dX)B!zUlTiRd4j=IDeG^D6J{#1LOKLGB^<K93kxmMoKq$t>{Pe$hyFod)5*HMKvO
zD~-#LgfeC%bLP8pV#EJtf=|2ck@{U(TnxM#W+TQ_vhG+@VpoD$Vhvo&@NP@Yw#X;R
zS4>#zdxV}ekl@!nuZ`oJ6VnVmL3rN;=?7s?KIxDjqgZcvZ!vd?Atu0AkL(^sUn@1C
zm6y?D{1863M`E~K70P*`9ij^UTQoCb4K;p}_?IqC*6@g_QG5`4&&=%R8XTlSjNeb`
z{PnH2{~qOd&`mrB>+4CVUkc3a-Z*|SdMM&qW-=3QQ$?}&<G&`YZn!eO$t9G?#f)QP
zlb(oqlr-IvBzLw{LfoOSw?h@0j2CWkNeFrDU6hQsh5F>1kC}C9@U`@Py$Z5F&h7Rm
z@BFMwaeFrUmDu}IQ)|rWIp)V_Qdz`ozBFU_3@<<UCJ;BK$}Hgh|M#s$`_H|VKlU80
z6jVhWgKNev`w0lKS!Ag7s+JaMO8)~;z-JA^uW?6=#-oCx6;kQsGHydf2>$aji<jy}
z-C5T$T^4!o+nJdeP=i(%t|zg?=qCH=y{oUUPc>67CUM(aDR9JV^lKIPUn}N+>gX&#
zJqrugh`Y}WJ4mzVet)^+d^j6<-*!qOh>8clOKAHtyI!@KXU*5INSEljkes}Htnn#m
z7U#3Wc@=fXQ;|l{YWjZ)Ukp{gzC%bSgs#kdt*-C#dEt%K)ya8n#$I-iQb~fI4GRlf
zsy=BAXSx4s;^E5QDvHU;N#~hR>5b_SQO0}sh*^~45M;qY5GvVE8oA({?Ci_8Z{NNb
zt$=v{`X$4}!ZN)#Vk2#B&90Ov@|S7(>NiDM1%)6PIXOe!)$zJS5fKrlRuFh|^Ya>2
zI`A?@<|pwZIiDgUTeh~gShw5S+FYQ}QH`5&Q$<HcYRvP(#jTK|u03BV^-odDx*9|y
z5C&51hOCLPG4aDMf)-Sl<UKNT>X@z(6W7C45!lwxo$y~tTbn$w(Lz7p1W-9pH04cA
zO<7a;UABxtsD(0>Xt9AbUYMPgw6U>47hWa-5C>9HQZXa<DKD?U1yW`;A{C|}D{BDT
zq^qMdlq7z!_GGJV?yK`^32LawRJpRMstA<FXqgSY?AFQQwu8Mr`i@+joO~24)il}U
zU-b2By<x1=m<!7nRR=peLk9<LS-XKuHJS&G*%h_aY3Ik|=cGsojezP4A*g%T=;@UU
zEfxm2$s>-87fXtZx#6}-03l8zV8^t&va&EY_p@x=Gd7mbX3k^(uc>u%YOSe>NiT?I
zYCh}lX=yA@tHWw(>s7u9W?WRHt_bC|Ypu{>tieIl*4FBjzPu)D*ZuWTP;fBMxi`ei
z{hK%6+1lEI2>z~@$0Ezj#MJ%wZ+uEh%3W4g!$@}BgWq@Z@<CcqaOizcOr%f#_Rab1
z#KqOw`JSj~qH9e8G*HGeGPteFNf*6INJ#n@9Tb$5QbR(BM9&V40<FT-_IHZ4*v4I#
zb1c%(yBREHlv~5h=dY(|q@tZ@v24@K5e4eVbF-O(sTGu;{X%yV6Ue52)2hC!=4K19
zqUiaWgQ-9oPGekj$Q<pM$0#tHn3{6kz8ygOz|mMi;j+BEJoFmYgfY<V*+L#OwX$iK
zcDJ<!y12N&%HT_<(&4taxVX#OsDPlL;8q9U_zd(aV&Sbn;1t#H-$2qtSw;)Fa6Wfk
zya~(SeNY`75MWT{xN3Hf@-DlR(ZaKTgr2;Y<t1TxkGyo-^|6}QOKunNgbftc>t3Y%
zKa-)mSBZ(e!@@{UHpB-m2E_@xk>}N&3CgI)*qGnFyPLs&nxm+DB%)vMeMIO(tlr0@
z{468n|4wG=?=18nx&9FlY!I;>qEV3?&!uc_??aE`3lWc&eZN{;A3?vL;CW=O5OuF%
zG*@bSWc|&Dje>p?kKNS~3TtcY_aPxI?@4a3)|7%c*Qs*Mk&DtoZ|!eric9KB%-d@(
z^^j_MC_@h%vyS(`^MoHV;iGw9>f}^&AauG9A3j77{g#ikGV=0V7kkoGlA%!uk_;p_
z_!)F<E}u%&QwYinF&P<F7_^7dpymvXj6%c0-fnEX(y4L13RN5T(j~6(LW6)5UJSI<
ze)sO(+$<54N@da0;$idujbg-rlI#9uR~x-v3p20fJ|~8kTH>9HyGsLs1_lN@o0~~e
z$&&yR(oxIi_bB;6@4C9V^`TIa&>+o2nfQ|;PXVRu6I0~fXJUwu{hUIIqmiNE!qU=j
zI$_uDhK4sqCLM;)o?Q!;y5UbiEhQ~24K+OK?CeaZ%vv|aUgzq3wT#`-&Z17WGc=5{
zc9V_oK>bZduxZPLL09*p&hxZ=byUcTGrHWc8Naf;yc?9Kl9JL&e@6J>64$fCxP+7f
z5a))$9+?o!57JCC)_MM_KcN;#V;K%Q@*4~0<m8NskJo*12D|Ze(VvxztIz$o6>6J+
zNqdyVNLD%K@phM}MvM(-wDVH`ZCG~k*#6l-KeMbo|A4f)`Rx#T(a!$<e!&6NK26P~
zzMP$XsfZ)J=g?z!lz-{YLJNL6{#V`}M>~^|&prRlERzMxiz#b{4|FZ^NVvKRlHb+z
zHcj*(4`)^^bQBPKul{4{-((=WIBpMq$!}q}M$K;hCv*DD3=iOidWzel%44x`JB9F*
zd-na2m#d!Ky9)&2cuqs631yCKYyqlE-X)emuHMM7jR*H{>HbslorU0$yyoTk=(x7_
z3)8z%%wdcw>35E9IB}^GyD>L|6JHQcH_5}6=jR;0`J5o-Bn)v7VFZiYd31Oemtkh3
zv{fNEIk}43E@=V>!SAk!>bA9tvWOA2VfIZY`_pI1Xl?E6O?8rM7~^djK+CLE#LVF9
zs~4_<&viw=+CaSm(?m1pIs-N$P;EtO@7Sv-z;MyKPmyCWFM5KOEEPY?Es^-!VrzmP
z*<&SVO$<Ucz3VHwR~mC3hY?R{kh&_qiIVjms4*;TYB$M~#x-E}FAIL@C{)9PABhYN
z+^d`=#MeE)mdVa%^Fj>wA;`FRDFfCkcTWYANSuogSxLo4WyJCdZVP2-+Ru>W-`Fs=
zk6`jW2&Nh1{dQROr>L5S;_-2LZzo~x@|wnC$Kwd%DV)MI)O&^5D2cDQ-nmnO-U%qt
z502B-j86n+IH>R#h7&6Af?{Lq`Tw!IN_%Lb{%@N7|I2TmKH*LHSJQGE)ziB;fr%W@
z%H`+;ybg7L2{_7Dv8VK<={M#9E2q7Vf~f~<<;eo-H?-2x<mTDnjgjbb6~z(VB452U
zrT7>lo^S6ga=XJ<6-LujSCu*!|Cfqau1KdQC#%2zsf47Y0my?v_LM&!M~i7_*0Qy|
zecz;=QX!6?#A)24>~I(L+zSmC=ggg)oD>p-u3=py%<k_5sI<}Lbw&nF(yy*A>Bo<W
zfm_-F?TU_cSxkw1tfTWXVQsADftZ*WF)68PMouisC3&_jG8y1dS-+`e!N6*E?#N^L
zr;i_dYdrV3YE!+516b5LBZs^sE%M8kcO9{O+Eqc?<dl@}p*0ueIIlZDt~;2fKYyPf
z>}Ciw75%ZG1w;-eu(mnrJ$6XYq}0vLZD?d<8W=4lpEb=~SE7yH98^F`L5Eu+$17aE
zzP=LyEC~<c{$N&!@<!>obyVxX)d5<P0RHH$lzgXky&!5n!b{|Ly<3eli#wbAiIM?!
z{HAEtrn$L{UNt+cI;C$h-=u@;^OrBrs;;z=l9Am2S*xjWyuY3XVnnv^>sN0876a^&
zv9a>utxxA2@66237F1VP|32B;veT<{$oRPr)pl-ncA%o8GycJotbxG_cF={^00?@k
zVO_x(7#MTrUS3|gdNq~3oB;J+qH<|3;p5AM!4A%r+fF+}^DNiqvG>OmyB<hZC{s;!
zH6<;ru6Z=PKqa~79xrccuOLXMrO}WWrkgkK!!NN?u4QY}*MIz2KSx9q78ieJGKYdX
z*?1uWF!hM_vuDq~?4$N-hks7Z6?Fajb={k)B~6gW%8AWFnFtAzx&gd-a(Wtzh=@pN
z>(>pSSctc;FZK@Hv9R2Y&CP~O9MuRCCHR^Z*r!HDFkI3TP`584ASkg<kN2ffxw@0H
zv+rKCMMUpERnOMM5ET{0#>W1tU1mK5{L_2c|KZx&n)7<i{>17k0S5<15aoSLxGKp<
zs+V)CKE=le`_sANqE8!{06Fyo_Mv_EFTWxwym1rYWY*xOw-+v<@qD1sRZ`NoAW=Ys
z;Q{si+2C_=b5Pr+p|v%m*AB#E`Tm$&f#>NF)d&@cytT?@_7jM%{PNDy#=+8}n9*{A
z)2%j+SB{QSprR{ZFQd`HM66Bi8#rO0d_ADfPc}omBwSns&VUXlD<_H^^d+A8uKlfQ
z>gyvz^Dpzo-4N};9T9mW1M?N_V80U_oO)<t=H}+?fZCzK4lp*EFdrNO!<R4b!jOQA
zi)#@y_vg=7el|Dv^!0^<=4Fch^ywkwUId(2dis0aN{7iidDV?mQ-*rg&Y_;3o<Scz
zOdW2|Ll@9+a^eo`C|9Q<jDdmSAM~3HxxvVo-nSSP7pFi^Pw#oM*+M?Tly!zPXi?(6
zoKt2I=eawef#(fbJp)n)wy=}6j`sBQ^bj7Ni-+e+Mn=ZTTGcu~^n!#m{GXVv(b6ii
zu%uD#E5Mbhzoz}#&6TObtcMZUR7$U4Q&ZES==rwjms-G>OM3*TYVxCfMa`?(rB>;N
zHWowq2K^Q#3W|y;fq|Fmj+X9(8Jn0epPrnQLpE(wifp%Y-Mw>%tF9De1SppNgMV%v
zwY_qlERTbc0*J3JHxTav#=nRoU~U0ij5}JPy|dFqRh1L~>n|v#uur{z|NgDUXpiL!
z0jA6>YyGG29n5~(+uD+q(%@?v#vRwFsD8t<q7j)*?IE+*;VcCR{Ou%z=AY<%uxEpb
z%$z(&jd6iu;h8@zlgnKDwc5R5OB!KUZdzJe^k#cOyv(6ss}>g)WI(?GhU;x=@&SCQ
zFDHjDYX|!53+A#3z}@NYByrh68dqqVjQ7|6-pSzt9uG^)-Ps*;TOY`>VdL3(Y4sq>
ziaHZFqQ-4Mj0sv8wxgpXbqgcdR`|?fm&^8ccI|mJhjX#j^9gQuYrA?iHK~qyJ)B2M
zEHw@e52Mq3-o6EljukBB6aT=e5rv{?XlT%^aphTASwWD_&dw;#7x)10aR8h`2ctjN
z9*uZI%Ll#oWy*U9ln_Z6nH0Eeo7_t2u5z+@Ib4hfz1qTH4)xo&Z;9#YpJyaci*_we
zO<~sP*%WjfvEI4U1lPc;<JGe1FB*D};0Vy7{2G_ZM6_u_LyCN4ds{A0P{DXY_yVxn
zJXYg&->myOQg2oE*KcLzC0d9N@2-s1P=nSaw-j*OyX$xPnyUHOy4She%hB?JUKCfC
z(35q~Qtr~yc(wdu0yQ)?M<$@Y;}R0)?!@Hf<+;SZ9Iq7?bX+m>%yHXa`_<7=@*iRI
zB(U<u1%&;1?PVaa7cX8!>I;lox}lLqm!q}_HgP*UPIxxtYcJ6zpm`_?Z=~rxt^g6G
zgk$zzrVjsC*FoI|SC@*8P7tVFgM*F9C|)ZnV8Fyzuf9u5^rRwVR=8J|)pN4v_NFc&
z5#4ss^1niol9I~pX7NWyM-e0;ApuQPHsQD#Zrs3vB+e*_PZIZU{PX8pEU#7L6J=qw
z#S#cekk*%+VMi_9y+DwQ9L|LEl9;_VupD_N?yxdMa=f>i#hqsuhkQ*>$AvC+PFn_z
zTSly_I;M{A1~+FsNxS>e!^qs$%@sxtSsHmb2#u&G%}AL|OR;(1tIa7%XJ_Z@*RLZ;
zzEKO|cW86@KB**2HNY|g$=MpAiD;+pIoO;Ijg0h%T>6BT#=ydfsi^~@DEa#PPcIE*
zZS3tyX=-YwX!Bb93y|MSe2<fBa~asKc}X82XDR5EHm3qP8ujlX$nUnc&9me6rj8B*
zxB~L}%3a*t&@^7N+W9_oNga`UP&$KQ<%ToALZgIS3SACCtwUje+Xl)KO+7Sja2o`J
zJTFzPLbrbw78YOf$i0>yvO(5ZzQ0K4jGP~Kd2I}6JjX!b!u$X!jROT33yD%-291MJ
z?)iCRHu5<mH+MgJn<TA_##y;%bma5&YADIcrJyica8q?g-S>fdi{tYqSt|G&3;|#o
zCjcYW&P35fI4}b#DI8h5*07t{^)Lu|YQe|M?3bIHyV8?<k(P#r-*WJ7#FsBUX54mA
z<QyCvW+obZ7T4FiUM~-Zo~-J$1($jKm*73{&|T_Z{nKd^k!ZfncrBXTB#L+}K#hU3
ziMF}VkX840!h|_IV7+>q5b|9bhKy)ZLr6#%$7TBQa1U$iNI)2w%M<Z9+Q>*tFf=hS
zN!dF&J-x%`G>w8VvpBTA>Srj0AXmoFUVyXIn+g9>l`FSR&;@XHbrn{t4EK!4ZvPW*
z%FF0+q^_>60Mvb88{v=>?r?XQb5pVXtMq^}D(kp(jn50Ku&5}j{d_Skk@d9@x^Zi^
z`!}wC?f8G@`h~#tt3988Y0yu%*Op2SHSJ26eS>w;qMANa#429MB@FKCT)VCWp5o%}
zs?Z!OQv!&`7LYaf`S?&mHgI>MQ(l%+SU4WaN>1PLui=))-XWB9)}@-GUu|vE@Mc44
z%JiO)a*DMgDxz!xJ4@oFMdPECu54;q6|N)1i;Ihz`T7_M9(&JVHqbge`<_=0UH~H~
zwTj+xt>W^mG6Iq-SA1t?j4dM>hWY<=dXm9^{;hHXRf=Oy=H@Dfs{(D17;Y?M5{qyC
z?G8Jo^{v^qjshx!Y2ycEuY2w$p>(|Vi`f{iT+!-@UtoKvJ<@4RZAL|KK2vC>8j5#P
z)atv}KjE|Rc((|seut?erVq~#t`F~ZMOB(nXM`#+)?n)oAMa^v@aDc%jyaU!J+RD@
z?om>!QY=>#wvb)nXO8bohwntnpKtq?%4D^2m=Ujr{N=|8`Kuds*uSspU!3@kImRnE
z*%$INeJPRQrWUBx1<SOJi-<DDs~cahAi<3rMB)P&cOp^DvI`~pPo@{9#^^*z7QW+3
zdVlz;dh7n}m&K@w)z|x34wk6fO94;qN$)9Pcp)3aR}`-2icZTlAXBjfWc|i%!SDUT
zx-BQ?%npljoD<b-I5;0S(D{<rKcHqwU(Z%aOs~4O>EKk*#7(xza$yHUUt%CIVD>j5
z*5G)a(z7IqSQrj8vMGN%?RvpaP){^4u3?T$AQRtJ58NJMh(KQ~7h57@&=aS78QHk(
zEt4|wuwF@RzbH-rD;~XdT>8st*<5wTBouyo4<{ym!3XlX=gh=k#YDUh;p4kvvqV&i
zDzvPTdl&0Y?J`LMRD-cj2FKG1V^jF4ZzldSyTI#bnB~V$cp>>+Gk5n_o#ao?OvIK?
zn4GDNO&gzI{S>I>c<=LDmD|~$>n&YLU31>3Viyo+ADY;`K0WEanM^Wm)cDjuu`OV(
zgk2$ps_niy2I}F{^C0I7VYiI0jakiYy$ti!yHnu#Z5Zo19=@N29xv&yC-n;<bdR5P
z=)|NqOB1D^dq-ibi7)8ZF`h>T6J>leVedd62_rUnVN90Cb#6ozAODkiaHRyT*<<Xl
zONsYyC_FCj{!2m~TX$=ODGBxAW!%?~mI?<nDCG}6sB;-*fq;1o-}0&(o}EgS&q`!e
zB#kj!!ep>tQQ~uq?$~M(C~B6w2NgQhs&hlosQ)zcPpMn`^N565QeliTb&&O40X9xO
z-gwvf2U<%@Y3>jKEfKjXYDxDOC=xP0-%KaG?33M-1X=S}ucjq-Q%aVLZ^FK`OHU67
znB~(USMOy_VJ$9;tKqNM=3xr8(dIijV!CNoJdLHO2)uNKSo+=Tzvsa$C<1jHWQZR_
z{tJ#aa_h5E(wDX?-)3X;UPS)FK1)hP%~`m(=SEO?*4$R-=2Mkio7$?-ieYrJb$K0l
z7h+{p_r$A1C)#^7Zj||S($aNdb>r%lquXS3n)IoJT2;*2o69U_XBhhAR}zMaGiNX*
zFWpE&Np+lmSp7|#Pf(9*v9a)Tb4lA0)jud4`cOmqI^mC7tO|cAGaa8*F{^xu>$6NA
zR8+kw97jy3AImwJC7{K-{@k_fzJ1A#!}Zz=_dowQC3R+tTv;r6{XHhuy9_xY`N2ia
zoO#PKvVZX8NI{4VVId{sReEZgts9;mjeeb+Z4-70ZoT~DgLxe`4Xvv0rN#*nZyfQD
z5z5Ormm}*f4~><({3Mt+h?vH(HXeoe987P`W*&t|1_(yecBxPiIAZc!nELyp{^sGM
z-!$GgAvn4yF#Jm+%ZCG<>EJ(C_df<4MaS0rU){h%a(YNY+NO`Si3F-k?o+d5(#lO@
zu=+;M8@8O}4RsFll<?Y<@n8I*PF7HGOccfV237ehAt5+so9*HqvMG%3*H$*`=Z^cY
z!Uj>b4{S*yHn$9$j{+<zpjz#+B$+nNvE<tbY_fSXz7ShDy7$FkHAX8l!?xJoCS?DS
z1nax=GLfe_MUIN!448Iaj>g&iQ4=?lEjRy7ax{sxlwD$JVV)3}_N1VZJZ0nho9L}u
zXM>7j%KEtx2}mu@D{6(Pas~z35=TY0X8PJx|1r7;7&|N^wYJ}eZB}D`<b+<jhDptw
zp5^-P7>~vW$8FxsB@x~dZ_d3f*VSzWV<PW;52>@2k8c8kxYJ~Q2*f8LoS?qoP8(f+
zdoZ^Z!l)>bbMhjx$NVm7nI)5KFjtnF5U_eFkJ#d+OZUYwdYBC7%>=rJd7d?`VB-|g
zxFu}_HqhNj79Z$Bzm^WjU*?OfGLv@22`1tKr1s9;AKZsci&i1N3F#`|Bf5wW9$Xz;
zKExs~-3`g<P@GtQlzlNj#h+}hbv(x`7RJbu_9gB#_0ovps-U5@_UVvTa{`;U8axw>
zi|KkCn06#`=GLb8Z>=B&Y5BMzB^lzi)O0l|R}!@8GtUfG!zB8`y2)O1YP7i_?pPBb
z34F`mv3wAsP);Ky;Kgu`st<?a2QZ8&CIOaI^k=hLJoyo(x4Q*#rET?5^Dqxj|GE6s
z`tRTQwDrWdgo+uSuEK7AbCFpHaE(4DaBCpMLufF9#_v6fFLPAf<yoe7EG-fj^6sP}
zXcVEz`v^(W<31xItinM}_m~317b(B2KVEI)68S|wGxBhAr>v++1X*)r4*FDIBn%vO
zj91~YMts~Wdhhcn1(^^1cD^N+nSm}<{NHta=y7MF70R7-qvX&_IFwxoz&X?p>Mh|i
zAid&9Hbh$y7@}FlEI$W_EIa9Tfkyh;Pf7m_8hE&DaWQ4?q2YUK>YCn*OuQ-#*4CKw
znpLSw5^GZm7k*$Ji1m>eP}8eQ!lB{z#DuciQABnP^ui#XLc1!Cx?^A~#J=QiVt75z
z_1VUF;%}SnvJ>`f%=$7s8f|qQ@It;fUWFEH-y}oF-M^_o4N_oziM=UHWGbOGy`2R&
z=EB-XGvvvY`<AB?yXN+&>ssu1!aWOfH#Z((+A`I$-TkpMcQQ0ghUf5_sT6}Umm$@i
zU*#q@s#0<pJ+A!$v1R$*2059J!6Rz+&1g*3n@3;yNi@%WHn=bhddT`iQ}xo!JeYQ}
zjmN58NCtD0S`UL)%qzDGQZf&=R7#FZ(o^+lo6hzq1j`-fl6JjHsvH=rGEk<9RKaue
z>FMe8*}Bq}#x|>%FTbcRaap3eXV_PKnCGv2o*dS^#Z#K0k+xTRfwIlJ@LQdD$?Et#
zbGSLRcgA3DGEZ1{5hL&!XIEFPs>?mUzo(`$a&UAFzbMwSvoHKV%+yB<d+}i|tq%h$
z=bawu99_90c_k$&XpCWaOajBB`uc}EO9O2uu3)8e5R7*jh86_Wz63ZwSWBKjtL1gN
z{Ji|tBqqGR2mDZ@;MZFKdx}dmIMXn}3nlay2+YCpantyCovJop-nJBx$ia0O8TjXD
zml=WxUx4r9kIZarLO>1<R%VyK27ruzg`9i}r1>EGbOhV;S{l>NxQy+s&CSh&m7=bR
z#l--(^%{zsH*ac|SX>3&Yos?<{|4*VuV3C$$#0~R8_?LZ^TE14G>>yHps@^s-<aB%
zY}(l0Z-FL13AMZlmJ{0NUZ*8470}5u-nny$s$-Wv5Z&7SbsCoh&Lg9)H4h%r$Li|p
zvsq$>hKzQ0OM7v>U{$=q#+K7L&1fAAcLgU9Ei73;k5654%F8K1QTt@hr;*6X$$=|X
zb=HGP<>^ywC#QXjaZ}FdSF6K3#V`z1vLdITXfn$_7S{kMc^^j4m#KN%g}PvG0|Ek|
zsV#OHi+36e04HK}+WzW@Klln2qB$=B9eDroqaSp;32tiwLnF_}XJ8QI2fP`J-t&L~
z?Nfu^9SgxBq6_-;iP&D7f?cN`Tmn772`<wK4GEn?W83_mq-^iAdyO8Ev~-KMg?N7=
zs2&wPy^nx$(FEikRd6{#ynAkYFZl%oCTCj1(R=>2Z}Dr788Hn_5OjcytgQI(q)lYX
zLKqXSGUy3xl!%8Q4gr<#&W?kGwDb)y+d<cZZqI=?Cw*=NIvosP_*@)pylB52xZ`%#
z{!)V#$N6*@wF$1k={Al!378N;JG41!-vzC1#ZO*1px0NfUY+zI5~+u#7ZCMZo4QkS
zF!lU^1{~vSFSjh*$U3#|6}|jHv=2&q8O&e98^HOh0I&vh0j={Sbd<ao_1*zkoIYN!
zYdJeT?nrXtdj9-5j4ZLvk5F~2@5XZY(X+&tf8GMGgLuDGcl>v~8z`HUxpu#jSl*Xg
z?CgH3_+G~&<DUR}6HxPBXJEhpO9VVQ2QeMp$Ex*OYB29Q1EeE?J%Z1=!OV;kB6`LT
zSmzatr5AQx(fH=Yix+5Wde86&uCJe;SX$pCI8f0Ciaxvbx^p^oI!!JtykD<9CPd?a
zu$%IT&iDx0Dyp8V6Of&Kw;F&bdbNN;bE!tq!+UZLy`X1BCJbQ9K){n&Cg=8+Pw7s|
zE5Q7d;E4VSE{>kO=c4EhcN(>o{$l?UKo86c5N|L6ps|jy>y9_zQUHet;B^Nm2E(?y
zySvTJffQ^XJz%CvNGtf%e9Y@?oBqmGHP5ALc=1~8v2~yoSdZNgCjFf^8ZO?4fhHPa
z0IMT)?SQG#)o6ZOMjc(<$@TRR^yWh(MRA*x0xswQCmQf9IJawidwair|89irMI)^^
z5f7?2Z{G0R&EP^XVFL>~0V{-Gj~SXEKO}`do)RGNM>^pTU=M&TT^T7O0(?d(>gk@+
zB#odADibp^zIrvT4ddhVz{&X?S2TmI)SYgD57~^cekqkjF~-+zt>PjKMELFJE<^gE
zcN=!d2&l%~Z0+fuwmaA~5d?a7hvh*6WsyTB<ZE&975Ho(x-II<esc56nSB8Bwq0t0
zndSZ#s9GZ2wsC|rhSVkm#)Kf3X$7xTIj!gJdVJfIStuc;6?AwAsHLM1`qCDdhC@OC
z;mSAdq63Ck<L0zYl<wn$h2GJB0QjTbrk-SJbdDgX{rBJ|&o^xTAh*0YTyjV7^^z|f
zb@cv5rNbgjtvBQ}C~Snf<|ihQ<Q_AieVkOmx9;5Wfdis*-*_Z+FyRBC`x8bt@8C(W
z(Uz0pG8>`^S7e+9y!ACTDw>+O|DbOEta;}L(;+-`!|J~}JN@$VY*JhZgwveBHOcCh
z3H*B3TADi!T`Dv+-@|m|AJ$pVvqMw3cNm3*X`g!@-aOlitcxO=)B~Hu_A%OGYyDSn
zn@$fsl&=S@1Y3x<>$kf-0`Cf}QvA^)4A=d&U<PqNG$#XSCJufLaQWL<@Bb7|`yhN%
z-fB<-3{PlNJ}mtr)IS6PgzNk69mDP0cwpd|>n{4y)kOrg2BMIjb(IzqmA9l<VRzw4
z+Te*VGcZ)Z5o(pM?C!+H#X;(-nd`Z_RvsQR#w5ViCkNbVn?VPN5jvz`852+}%}}}V
zhjHC-0$^0OB>aYU?Zf+{EmQDF9R?09v`$~Yf5-MGq{Wm)n+BkuO9G(;>(%@HaW8ss
zIlr>E7YF)bDU6++qd0MtG><lPwxt2adtT*IIfZ==c4(-$)^t8Ftf+^o|F`mWRv$o(
zib)`FE%S+99|34=4@^V40~bpI@P;nQ?QM~tKVKIWrH2QXQB-V(DF+@OA0HIPRMjfj
zQZQI#Y`vZySOi$gnzz3`P7hw4#?Twm4@m*tNP;sx{)myvA8svD;Oyw|cU&I}{`QR#
z>a8%Ph&%shRT%|^ABpEDru>3}Q>7!;O~CXv01Vv#6bV6GFT6kM1CykaNg}U%WhgM7
z3IX{X0$Zx%%Fvs}Mls0PX?OyExP{fTnxS@~Ez)R{GaOFt-o}Ph#4xrux>iDwfO`hu
z@Xr7;7POoB@-<FugjEr;ZW;*H&s4?Od~kb0Y(b4o0$%LARxxjpGb;sye=#uLz>jX2
z0C^?>_X1eW(R0I8<wQO6JivH4=#xUef~|C6q>O{kdEyOgS;Wd{1sOQVvI}$TPG&jg
z#3!SoqFD3tGz&0^L{IJw=4f98q{h$BKLHnOhW+y&IhG?KkyZ^bne6ftlHi6tcXV`w
zW6k0|hY)!MgULjNE|_dW%qD#n1Eh`)APPO_Bsn)I@les;R#iO!k8}IBEaQU*)HpsE
zkotM38ZVv_yn6Rb?Hv?27KWVBpJHP##Vh%PPon?MN~Yx<c&Td*9XcB9F3H=ova*U9
z7%)JltIijsZ!C*TlzBjyZ_Ui$d=jovPleDP=-l7h$}H4@YZZQ=<x^CY=Cn)JhdcRv
zPvm$Gct6ApV=p<r+m-_3JNVPZVEjz=w5`MH^<wXA#EAK2aNMYQ+6K%q%<l~61BGVf
z<s~=z8T9D!<4+}RB;O?AQ+Tss^EJ^Nyp0&tHQHM7-~CLFy{r1?@bDX6bx-@XWn}|O
z<jn>^1N+XD#wPYMNa&h#$AGZ)`L`c4665wiC(^Q6Na3!Js6*hFtfZ1eu9*JY{|5i+
B$$J0*

diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e-members.html b/docs/manual/classbayesnet_1_1_s_pn_d_e-members.html
deleted file mode 100644
index a44a2c8..0000000
--- a/docs/manual/classbayesnet_1_1_s_pn_d_e-members.html
+++ /dev/null
@@ -1,161 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_s_pn_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::SPnDE Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;SPnDE&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>SPnDE</b>(std::vector&lt; int &gt; parents) (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">explicit</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~SPnDE</b>()=default (defined in <a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">bayesnet::SPnDE</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e.html b/docs/manual/classbayesnet_1_1_s_pn_d_e.html
deleted file mode 100644
index a6f9ef0..0000000
--- a/docs/manual/classbayesnet_1_1_s_pn_d_e.html
+++ /dev/null
@@ -1,337 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::SPnDE Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_s_pn_d_e.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_s_pn_d_e-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::SPnDE Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::SPnDE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_s_pn_d_e__inherit__graph.png" border="0" usemap="#abayesnet_1_1_s_pn_d_e_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_s_pn_d_e_inherit__map" id="abayesnet_1_1_s_pn_d_e_inherit__map">
-<area shape="rect" title=" " alt="" coords="26,153,152,178"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::SPnDE:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_s_pn_d_e__coll__graph.png" border="0" usemap="#abayesnet_1_1_s_pn_d_e_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_s_pn_d_e_coll__map" id="abayesnet_1_1_s_pn_d_e_coll__map">
-<area shape="rect" title=" " alt="" coords="113,168,239,193"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a801f90d49ee6329e3d981c71bc7d2518" id="r_a801f90d49ee6329e3d981c71bc7d2518"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a801f90d49ee6329e3d981c71bc7d2518">SPnDE</a> (std::vector&lt; int &gt; parents)</td></tr>
-<tr class="separator:a801f90d49ee6329e3d981c71bc7d2518"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9d967fa3e32685508db1560bac6ee283" id="r_a9d967fa3e32685508db1560bac6ee283"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a9d967fa3e32685508db1560bac6ee283">graph</a> (const std::string &amp;name=&quot;SPnDE&quot;) const override</td></tr>
-<tr class="separator:a9d967fa3e32685508db1560bac6ee283"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a89a54a0c458ab64162527e9a4c8e36a9" id="r_a89a54a0c458ab64162527e9a4c8e36a9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a89a54a0c458ab64162527e9a4c8e36a9">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a89a54a0c458ab64162527e9a4c8e36a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8h_source.html#l00013">13</a> of file <a class="el" href="_s_pn_d_e_8h_source.html">SPnDE.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a801f90d49ee6329e3d981c71bc7d2518" name="a801f90d49ee6329e3d981c71bc7d2518"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a801f90d49ee6329e3d981c71bc7d2518">&#9670;&#160;</a></span>SPnDE()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::SPnDE::SPnDE </td>
-          <td>(</td>
-          <td class="paramtype">std::vector&lt; int &gt;</td>          <td class="paramname"><span class="paramname"><em>parents</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">explicit</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8cc_source.html#l00011">11</a> of file <a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a89a54a0c458ab64162527e9a4c8e36a9" name="a89a54a0c458ab64162527e9a4c8e36a9"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a89a54a0c458ab64162527e9a4c8e36a9">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::SPnDE::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8cc_source.html#l00013">13</a> of file <a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a>.</p>
-
-</div>
-</div>
-<a id="a9d967fa3e32685508db1560bac6ee283" name="a9d967fa3e32685508db1560bac6ee283"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9d967fa3e32685508db1560bac6ee283">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::SPnDE::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;SPnDE&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_s_pn_d_e_8cc_source.html#l00033">33</a> of file <a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_pn_d_e_8h_source.html">SPnDE.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_s_pn_d_e_8cc_source.html">SPnDE.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map
deleted file mode 100644
index b7ecb8a..0000000
--- a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::SPnDE" name="bayesnet::SPnDE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="113,168,239,193"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5 b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5
deleted file mode 100644
index f1c4d74..0000000
--- a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-7823db61a54dfd03f5143e755580cf6b
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.png b/docs/manual/classbayesnet_1_1_s_pn_d_e__coll__graph.png
deleted file mode 100644
index dd12c33e638b822edb013487aba053715a63f755..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 11430
zcmch7byQW+x9%pS<Ir7)Zjh3aI+P%yq)4N5Bcil4NGM24w=~j7<DnHqK#)|rk?y<B
zFYX)nzH#4p<Nfi_!GUu&d#^RujBkG5jMUarCB&n}gCK}dT@CRFg3#`RpL=nz!1s(Y
zw6EX=%ThxX0o|bfWw#b3KoB#ej!@8j`C)t3$5_|%T5fOB#=H^F{o$U9rC~9fsXVuf
zygm<i0e9*8vEJ*ly3b1w_}|?27_2oKem?fukt02_v@kT7BiObgYJuI(Q-}1HvV0Ta
zWUA!uJQI=+haegqJLTkHe_?;`gXDqa?zdDC!Ea|Dy3x#|g^|=&|NK@xp)@0{RIcyE
zn#<x&-fgIa!xD>)jcp^U{A+)I-{StLfI|j3-j}27?Cb!844YTGiU?5z&c4Y(;+GV=
zh_wgM3vuONpLaifjIgB&RM%S_#~Hq-prCNygxHEhLru;0ujk?V7`C&s^Zho)iJF4K
zLO3U95z;r5piT&BSo$TWpW2FJVdQDFFqy0EZDb1W9Z?#qAx!$TXkqIhY@%Uag9`J}
zT;-UD8l^1iq$|Ve2HUH_#CL6zepx^Z$J@VNu4Z@%Sr1WTVqsYxZ%wH^cp&lFR9idn
z)xk<mZEdakL{@tG8`LkKKhs05M;m$wWn~r)4lGWs4;>rhrRh&w`C}w^E}$y&PITY1
z<z%syfQ#*h)18(iw{!=6ef<PKabo(k$B!TXtao~1^#jh!#KcrQzJbNht4=ym_Bi-g
zgG-)C%ZsYIx-Vx3t0eUF#+zS%q&(8m5jO9D*f==gqN3zv9GV@K?bmqVPd~^7Fhbd*
zwpG@{v`WQd^?(1mvvG1N#j`>32n1$)eEi;8UL0IPf{IGe)G_|3UUa2#7o%e}D<F32
zlg*!{{)F)rCYhHoxvN8+gt9SRubr9BX3x#E{B0FkSwTKN1h9O0<!qZD9pb5b`q|l8
zn4pbbJR1uyZ|T>Q^&{`4)m4ecVQH_O?A+Y0{OPXl?rPsNci+QN)riQ*&JbL(s%L{q
zw1ea0C+FwdPcj0|2F-*}`(R^R7&kEcGSlRdqhGqXx*9Gq_p;lz^+ZS2snT<MnnE>>
zF|@p#A7W-@#SpO`l5h9F5_+-q)9B_;@uml6U`@^K_lb!#<*fxG4SwwpvhJpcIZ!^A
zGHD$YpOE4uA^AQwwkeaq!^`VXgMpR(PEn_5j0Fxy-`Ux5eenVbmIW*ZL2hntYvZL<
zpIciOcXpglEgz(b;=X(LZhU%erb*=bs4@Tzdi3bg-cPHz9F1fFS5Hr6UETK<y-(^L
zX}k~D&|F+xo`a?K#xh{Io;>d#9VIdI-M=OEVhhK>z<_}1E`4ZdsLHRc`F1(y+2+vI
zOdq0~(_T3UD%CIV>U+mZcr+_*LRYT;CY;Itr;v%ke9Td&VMa+wiJGQn&-Vh29Btj3
zwR)HN*jxCNKa3`?CLT^YwBKAyfB5hLtR6;99Wj_J$a?!WX_ntHP21TDoy^tY*wOJa
zGKQ|Iy1H|s{K;sY!=yFcw5{Vx^KQUiCwAZ0ui{eVV<VoijIy-5ttY^7^7Ao?h=>ep
zo<`;{5EBz$ULJgd0+|9XNr0(vaBu<>63AA*X5hD)npp+hyLa!SzJ{(Yxv#J9+tk#l
zw{hd5sED?&OQYTRS#5<G2#3SDBqWk!8KhM*Gc(C4D3lQh3~Zu&2I&`X+0@^srmBO7
zz5nn*6F3YT6&2OT;$miaZe!ye_vg>^zkh$k!^4yNHA8x=Ww%Y^%a<?jGc&bhy$`bq
z>BL8t2b24!rc(bN9F*kd2I-d>Dky~!u)uSH4aguoe0<gz6(x0b^`)I1t$E*rm{IY_
z2r17E1W)3?h+yJ9<t*R7>g8ib<w?-Uj}jfb{&@D<m;099J58&7v$Gjrv*cV}J}~i<
zn83F3+?lR>Lyi|}kv`7O${Gx5o0`t~O^&|ZHrCZeAP{qNbG2T(rf~RltsR-{_359Z
z<ANGwj#7C1y@K5D-@jvRy8wHn{mr2TFW}tAvyFz_<~iXtwY6+@M)!q<g`c{(JTRy<
zWrydkj}_^FTefChwQd?Wxw8{8-Te>|;eWo)S@Y>rUSJ>uho3JeoAvegN7fqgKYRN0
zEeMJ2`Sz@ch}$9}B_Kv>t%uWSFLdtR!<(9#A|V+~cWG0PyL-+Bt`%MLD1W}#b?Z^-
zxbS_-G&?)Huvc%W1Pc{{vEG?h7J(n*+0>tJPVj>Ze&i@&N5#e#f+GMYA?n!J*Qb^y
zY=uQa;xyluVQgZ;Ehrc#N=s-bN^4Z}6gP%eEXx04TcW0>CReXie>8?pLM@&RL>p`F
z&Gwx{COFCH>HeSf?S^^r>6KO{OFtf^gD+HO`3-a4Z{~at?t8BnB=-#u$E*ycDj}ZM
z?jq04%f7Cy*@9iOmg_szwtdWb)$S?!RC<ys4SD|Pv6ZEzWpMqgf+Xs+mD*jhD?!o7
z2t_3&yRDzq2whpx`;S*c@u~Wzr_=6fXmIoJL{ah?%1=y8=o%WTl^RqQR#gcBLoOve
z=o=gRWW=wL#FqnV4=|g(Jr6M3XjdqHe`n`w=b6UQg=@W!yrOi=ho3>fuZ`w~TTD+*
zQb|fmYIBjFUSI4kuCGUeb15@zrKO~#gdjRPI?WGvNLpTO2Wb^`XUh5rIZcZ~@<v9q
zz*^_W+iy%;y>q}}gIrG+0$ZE<#MyRz?yxn}L<UlPXl13KrIl6bxXzIUetms?adENG
z^vYFKbaW3$2@&8Nam)g)#6UEKd2UXyh=`2Y{xe4aALQcZ?rgug+NG_#JZZoA@^^XA
zAv$B$g@JJD>ycfb`0lTUN_8iY?3;HDj2fI7V(BF<sf~)C4oLa=`Y!D3#3pb)fU~fm
zeUrP9IX~Hrv+9jq+*|C%!No;$JrRfr3=Fj2Jvuz>8BUiV9Md}~ijOCyzvBuiMyRx|
z>8|R;YQD?JAS~C%FL;Ct-SIi*WAt8Q$<NPc=HbBuLAZBxbPIa<>J`nL1TaTPXy{@n
zm1$skdHG`hJy5q@-P}4sW+I@Il$NFgVcz)afFq2MF04O+la-Sbn@-%ZgSYZ?&}g12
z-E_IsoB<6SIqk@oDD4Q$3L;9+=ATwT-O1He-qDdSjF`#PX%-x{3Mi{F8Q*`}n3u&~
zUS4`PcqrAY>bQ6`rCzknmp_rX1Udc72T6~;(?4<DU%o82P0)~%27&xz+~|rHj7^Nx
zc_16w9ZviQ9Q{ua-%z$vIME&NL)*F&J?GtN!^e*o!6&CH=`KQEJH|2xLn3P<Io%j1
zO``&sdPF!`(q2R@Ub{$8Ro`W164}_;y!7$GfB=dJuB{dA4yU1}#sMC~XIKU46lsb1
zE_{<YAo%<DFN}eK5Z(n$0t2f7xsq8@k|rl7r_p1T2vn1Zw{PD{RSxJsE4vSA^CX5T
zctCgDeq**>9siOlLSqINOHEDf8yZ3YOK{vz3(?AuvH;6cxo|EcMsCzLH1rN6@>cs_
zd2h|N(ixRgQczI*Z1&_8cbSU@FlK!1<Z8mL{nylcr#Z@$%{H^~t*K9=z*bwcEhlZ0
zDEkPuUy@#5Usu)CpvqRY-57_=-#*r`;CD7zew6K(fANoZ=ZP0~C{9sz12|Sioq&dh
z#vMsX3$XLGxmIaVL7wc^Hw&JK6i&7Jc;VsVvUquUJ>nu4_1w@!)qrw+jn}VV|ERW7
z{d;(r&#hB9GAP)tnIY{ZPB0)~R2u<}6lf%WtfOOKxPN?nytKHeaIYY~@IjW=^73;2
z*t#v)?$c+_l))mGmY0?3B%IlDZ(=reV-H{?_fv0&QVJN`*4~Hb0z8!fGAJsiMeM{T
z9`4Nk8qpeG9}ph?D90f6JX_cbIpWfOWo=kk(N<JcG&vQ1zVV(dGKv3*3J6cs6F^p3
zT3Jy6@qYVr`$o#j)dZ?A%%>Dqx6Sxef6OtOPAP2KzCeukit>Wx$MW&>6I!JeR_Nr7
zzOAbh^E+J(M<8_d^-=dbob%b$d-Cn0UTNR=@A02Mf9@L{eFyUSvqm*t&w!8gV`cB(
zzej*HbNDAtZsMXz-@XQ4K@Vj1AI;rYAQz3d(Sw6$Qzs=MDK}|J3JMN(aH{;vvv9OI
zSvs7|7I}S;bu*GGVneVks%zpz`i|u(t&WLbWhHP5HaHJIe}Tv9*U>~?1KL``ouXLm
zsjr2HU&#5nMN5DCwVzF-CMT;FX=UWj%*-IUs<nnm(+c|r2lM{)#*MMY$tYeNZ#(=w
zs;<u|2rJ}%Iq$-dcDQkN)%aqY79{oHNmC!fKggJbQUYWe!|p}-lRRVDcBZzrHnE*)
zn<4tWw)y7$yhZAN!*X<@`$%dLg$%1SfPRJ_V_Wg7fUoj^-L%x?j}r3+daR-pcwao>
z(_f@xd~X*JRhS@l7+B2Dm8gdU6>}QrLWXxgZVrAoN;Ii+)op%M5*nPJ*pf667GW>5
zw%8e9l_l1k%9Dm|o&+<rSd0pAKBW5mNhHB(Pnv;QjSmfXGWi<;J%^X9)2(o8{KLQg
zHDkPP41xHV&NyA+w?coCl5wQ1#9dd3FPFaVf1nt_1;;~&a^7af$jJ89s_Irtx!Klh
zFY*`>nBT$)ME8c_L1laidnaqK(fY4UQy8poPwhKW-4sV!Fi+9)F}V4d*OL3*zrMPK
zNqi(qN;FKlA!u)JU>ZvRZS$_;%44IIWBRhM?~Tf3Qh46vP+L<b1(9c970Q%C*Y~p9
z&=rY0&>>9u_-x!y@mD7kV+0~-VAbLxv2!}Gxf~zCpSZRPZ`I5((6SsE*wg-Y;W)g0
zah`8PVVL-UBeYic?cRGFHbmVM9CpaSIiFywj=ZbZ=3F@Mj_8xBWa5WD>Tv|<)8o|<
z`Zzd{G#l<<Lo`Wp+NZk{m-T0vp9FR6S)tF$Y*JAz^NVToR;2N;L(8X8W`n0nOHMfR
zGjl;szDDHGDLuNUiL3!>XFN^-DSCTYscr8eQ;CkpL|+>A>mHT%F_*+A8@JJX@kn=m
z@0>JDbg(HH{PHoG8s7>{LjwlU60{J*Irpa2QIrqVUQ7+yvgVE!<3&>l>S0H(Ba81k
zJ<*5oNO!}(gp4=LS6y`EOm#UCl1M@mbduAUn1|2{3Q7y)_W~LJaed{&(``za1)Caa
z@c|W6gnVl1HvaWg*_TujqG5gc%3dDr3^USJ==i1K;+GVmPE|@L<EK&c&Tmi2NQz@k
zf-v_wzlWHccuZOg00X@akm0StImIjXuT}So6F;Ps^8GAoxR>0c`E!k5H}Le^tV7^<
zLPDTpk$ZaOa><a4t8G0g+ulBt!N9H-*&+HVV+TvdEuzp;+p6g0YU`TL-CC2>0%s=7
zrq?~_u(g1qjeP9A$tv9}yvJ`G|9}TZmgn_&;+`7etU+sNTl-Z=HfdZzm@9!iJ+{rS
z`r(rgt<3uvfxT)YeZYe+qsb3#;QPJm;eDUn`DWO>GMpH~t$8g=dR0jk<jr@L#8YZS
z4c9<a{LNMT40Sz(ux)xC2F`faAREA~{8B@&v7x(op`z~kH8+Bg5bxAY7VMDpog!R;
z*P0D8x!>46y*Fnn%8`J?08^;D8!w?W)&dz48Px^X#B@a{M7)V8=zYeQAa+~H9B(5}
zTaA@fi?~_)=qOp|GB@Wf$1nRtvjM$4$;EjbdnJx-HeOZLEle02Tl5?`T&vH7%*S;T
zD`O-7$76pDy!G+N{nu2>6}>YcwuA#PSG}OjBsQ5AF$Dd)77pYz2pjQYdsn=!pZBd0
zK{H~)6Z*i`4+XP03ZB!=lPuB@X(4He&2a4V#Lw}a6wo+Gs^T#HQ%Z8pn;b05_!mYT
zyDhsy+KOQTSbMFIe?&wc=W<2lxRc-f!Ph6jKg8W9JEQ-MIQ~IhR0R{n?P7#)tu8pG
zip#pqe0fxIrEW0dUp`YO1P*CfUNdEcihS{gxhfs!qMLX`4LsuJQ`_z<8=i((jFHZ+
zM>p?gj{b2e0(B{+xfJFLCG&Yr3R!lq`&-WDJc-l6n2nE()H+2HunPK3$V6f*Gt*Pm
zrTe=^NuGpuAfRtfwCqIvCJ9Z`x0ws_v_>94)A$+BT$j%L+Xqd^N}0k7Y0_#F_@<>T
z@zDYv;b>mkzdu#jNgEnwdi{zz(8>eLT2Zl!oCWd9+<alDIZ5*QnzoOI#^4D+Wb?GQ
zpQ_n;{1{K$TW_L?!X-NoQXImx2uJ*+U{w9HRM9`PcI!U2xs6>8)7+41N_RxGT)KRY
zb}gCW5Wk>cgL6f$5gE~a5ehPnLq<+vvW|v@1;-a8+!%5X4U>s8Q$>HSWtr)hjwkiT
zF*THbh>eM<i+%IvQ@fWWoHU%6X~)!a>Z4ZHT_>BT3|feu$0PE--p)G_2n78EnNR{w
zLVYyJ#gah(48vXDpMzapa0+?yKxJqva?OJ!gt5aH(pQXV$Hu~HBZ5F5`i+M?s=V={
z;cEt(Z)!%ym5QNZ%H6wnuO&kj_d&LU`XP77m;evY=zU7c9qsshCx{VCTOj1rvL}LM
z7unnERb5rp#|&RxSXj7RnMdcRyV<qe3CX^nw?_q~hstY)L}ezluwg+}SR=_1-uNu0
zB#L}kBL*e9-ssdyh{}@j4I<Q*K5BDWM%Y?wYin}?8#6-4rlzLhyZ)Dr<%&6{Nf8sa
zb<?q6*%;K=kbPZq2AjGZbZP(qg_NO@(J^aoNn~W?yPBiML_lE$!fIcUTPvB9p-FfD
zS$ox_VHpVf-3r!c9I9B&1Vz|hjpQhO3JwY)LK^{_SLNsD=fr5Fpr^mYfC%Wsx3B_T
z(4qx-d3{Lb{as!6qKdNoo0)}#T<HQ2ploffObl~nL_mw*MLm~*K-*RC1xMe=xPGWo
z!Yn(clRs7^$sPsHyqoL5gA!e9v_O~_(;a^G?=E_#9Pk=wK^?)l`)X4U$_Rx$z&Jh2
zoYcDBUkOJ8j&W(}<m5LxJ$()jOpYk7X!jntHs|(2E4xJ!R1a%qWW+|dSRKMREaJE7
zVQd<-FTbAKbu_@ozY;(jiqhPdcG<W%I5>#8BD@&bBxzENSUmYW!PFrZs`wCe%Db<e
zAgB%oPmkCE{M=o(5N7D~Y&B~ZP(LwmG|Qy!et$YXE322qierZNIwb-_RCy=fD6i7@
zo9Cyh5l+Z89&=fA+?!4PoJ4*;BqYQQa=kotqk_KSvAn=xImTGa(=X*DeWzVIt^i?O
z?@t6nAIL~a3rXMI0o;?4RE9uO1c!uPIRFYArRq4-qO>0B<_x&LWEHto%K{~0Q@7XN
zV?W;b0X=71>jxQ3BHiAkv$L}((pETd78e&cnU{yhpA(+Qrv6JMn%XTYA_<43P1=1)
ztq^7@LgI%H0TA4d&(akNGh>u=XEP}pGvUZJ11-R*ozD2Q{vN+-nKJ?|Lll6qM~izo
zpY#xJ1h&`AAFTCi?U2$QqA<e0O8At3Wh2(>J#Jr@0Q*gnp_P36L+8P4#kmn^qE+D=
zpyMw$>+b40)H8bnBC(;SW`mHK_s*R=d6M={+jm4$-Mn`HTt){@-m*9^6t--cVXxDr
zyVR0nQ|rMPd7E8i&3>^uU_$2L>+AhBnk+~>hVp==DjxHi#4WI}-{g@-EqOi^$;46|
zfsr7L1x09&nsw{t;~R`-Emst<pWB=N{bNROcb&(JA-bB9%~*L5e41X8o4iyJDvUG=
z-Me$nY^>Z2UgVk_ETXIREefNOLQB=;4xszVEtE)V2Z}DeL;uF8{8S!q<sBnxt1`Wa
zJMtRcdTh!)qowYX-|59KI9~;b3BAgk@f11(Cfj=LNXwdp{_+jZW*6~@*-}LjH$Z-~
z8iL$Epsu^SXLNGoGn#I;HQ4p9YEP*<p1@Awiprms!DWue5B^fJ5n-IR>XtCbuKs0R
zcAxB7>TD<Jp}pT2MTusJX8v_$^f!LfrX64URl?_^csOIn`0auhLmv|2sDP0Yh{HJ?
zbVZ0q6j}C!affDa-z!UO$;7Vf+<h*n0B2<T&bM_B8FC|2rnZxo^7)SF<2?Mhyc_JU
zdkQHHcG0KCJKj5!OsXl7kbvEwlcIIex$RO#WPe;QxbT<EJzscWC|i}3v9iZ<#cJE*
z<ay?WEODtpVfvKlY7U75sCB>B?}P6fBCBXI#7p{NVgr&;rtF4)85-c>lU|Zl(*Lxw
z>DeEN@VTUa*_e2w%#}iY5qpiH$)RLp5RLn4;zV|r&x@hVbD?y#Y|4?5RUGHF0dp0f
zqVhxcNesx0NNwK$=g|`*z1m`C8-6OVas70a$QaBaxVc?p)Li1HBtripY@Wb7XdiT?
z$oH$z9AIrt8U1i$WfDmIZAT4%UeCpF>vbg-#|24bu;K`}MsL@?2x-t@S_{?$fY`UE
zhGgUy70p=#_0m<}NTfTonh|Oqvo62_$?o-b;nJrJk<+JX>My#9l7&=`Xm&PL-=wl=
zt6|IkHhlc98`Iy2M1&&F?)GCRM)rDnX3~x>R|>zGCEnT*VszN9u7zwSM#3!d-S3X<
zzyJK1hbhXicrn~x4%%V)CR#GqoyY%xsrr%Hd7&}YI!nl{V(v+nB9MmF-6uzq9uJs6
z4%93?WS}=BV_;xd7AR21%p+H5#6z3h2M%eJn4Fwf^_J;q>IZ;yB&w>ar>CcVCRh$R
zfbQDgtZW}JQAzK$Ldg^V?1Rw4Ijo{n1C<hlk(wR<Ma`&JFsLx@%vFA~B%nmu;4+Vt
z-u)a5npTk0VV`Wisd#%gFCGO2p%0}?5Em2_+^@NwnK4HFvb^jSFtrBMiHN8uMNLft
ztq*rzkCz%q^m{)(SR8Q-21H(!(=YL+!I$QsVuJKXXnI#ni~<9TK;F_44yZO^i!RK|
z^Ucb={ryhRMWaEqF<1^0Wx^pwR=k3Os_yQ$+0@Y?z-2OXbK{~2NOunpxBcH=I35dH
zZ86%{Nv!~q?FS4{<*cCdhr@ZexUvC3W0X8NJj|{hPy54K@71eU`IDOtLzA0F&kt6H
zrRIyq*0}@)D?6QDZ2XAS<<Se?q!qTr3=IpLu(bgtTNLC?IDDY5j~No%D0X;4y{Y4O
z#SZ^_d|U`96l#;gifwg-u949_U<s9Zvvt6S=j)gL+Nun{ZB449G&Vk-2-J#xBr+@n
zChC9r5^&Fez6Mk=VAqy5HtvC&<b$n}k&O04l5xY~T_dsjr3HXo8LcpBiHP8mluQLY
zc;CcC5+LN)GQ8%5F^4a9+aD0i9>OH0q#h*;n5+S^2!VKh_V<~)t7|skcj7;N65%Gt
zqZN0grXVM$cKT%2?hk61gM-5~U}QiaZ`>5037BdnKfNMB<3@Rii=Djyd5mhSzaWvM
z4~Iv}P#aCCo&-#DvERk9F5skDRic^k@$pfQcp!K6zTWAV$^+S>_c<}m=b3<U2X0yW
zY>?93%`FE|@qiUx9eG-Yr=vs$0dij3*;xQ=G+IVh7Db#!L|_rot4Y7u67p4Gpr=Re
z@x{)Jx`2Ry?!$))2m}yJme$tPfJIRc1_Vc;*SueH)SEZlva%UK5>Wu$T{d9k6Tm)~
zS66kEm2Z_BRtJR<&?q9jz!QNW@=hf$CqJLf-OH=UrR@x9n~o5R6V>CP@cY}(S*Nx8
zPwqYExOs*y&C}`4`MIuH0PjsO>Qq~OPDn{c3-70|?e{Wq!f#KX4A6!XG2G)xjEWPb
zX<<4c`yWW|Fu}**IxZ<G6h91Pno*c8P<ceHkOY9mZ}XFGYHogHYRU-6?eDgtwNLv=
zX~pcx0lVgcVtjyDlM4tXAYTC5MxP&1VcKe6{Os~{{}5b2=akS_J9hBDsO#rVA9L&+
zQNE~j{>03dcGKrs3;=Y58$Rqr!z-OsLDR(oCe7J^xev25Gc#LSS^{8t0k}<gQ4uFP
zI(n7&k-edzAp|)(Itsb{Mr=*j;Y(!@`5bR`*4m9h5Mc2~Y(>|8H3)hiZG-}H+2U8d
z6HGDN=3C||2+wMdRV|bx1(=qIn3!_?xb*b&#rc0z%Y`LC>3aC+QBc6m#k`p5#csgO
z8z8F$7kg(?|Dr^m|9E>nQN-eh;*LwwUyEV*4?Ltx{D0wj`GbOjpcz70pzs*Cycpj5
z^7ZRi6*o6w=ef_37TsYMf0z1!rqKyF-@O6eO7p|D(Xba3Q8!mN#x$nLX;HmOQxwPz
z{Q1)msA!+39sbSi3W?YAM;~#^$+gdcl?q>cO`~G6tA8k!@zwRgLX*d8mCuQ@W~L0y
z`uaMM`NA3+Bp~x|nX+mc8X}mF&CQvCQBkU_W`@)_?8W~r_X_LgmjJkf40?a>S>38q
z<{dZmdH)Ni@-e_f8UoQ~qS7pGw#7@SbUZgV7yU_t^B15g3%ksHrrnf4EqC4j!r|UL
zjTLd<58>gR*%lo&HJqlFmITF|>=K=#M<7J(>WuIR2=W2X9}m0$MOd2ppFP_E8YCe5
zU?f1SeuD#<G(RsfY5~rRl8+b}8S`~{?9LC@bxlpRq%vZ|KpX(~T-x1zU}|bwYt~dC
z2tfo7P_qDTe~|W8zKK@;2!u|dW)4tFXq^%wY_BiRo;o;a0JWJDp3AP0q`f=WO1M2E
z&96?%|D-<J(aEWQU?8fjyu5#Sc-ZwQtN0v{oKAq&Hnqv3{XTz=6pcA*t@xF@(G5zM
zp2a;|{ls_g6dIgoKMLQR%m-8+7Yq#ziO$@ueX(tXM?_Rn*E+zvFj;9<DQ*_ecK$8k
zTFK_?2jR21Z_U$eaHYo7+}hgrK>AY!70ynZ-_r@-%Fp}lH6Xor3x9)z6?H*)Uk8x8
zqx*k)*Wal!=78iUw%%;`2ej#oGKKvFASs7QdaNweO`3K$y8T%a2(PA$tjrX_0Aa?)
z&faf=WyMd+WcS|&0?--99F^VO-2uhU>_x+mg(h@GB|zgNM4wh30{bnZ9&fo+k;kt7
z<06*P`b^_PP=w1Ti)dl1Bms8i#;A%=ru-cD$*v*%IJ+AC^>Z?6tPTuPjzJTA5kdO2
zGCk4|?tn{=jYnepLSzo&;GOYTXQJGZdvGXl;ltywcej&!hHwB-@>~;FL371~xU$*z
zRReEN5C9}tsuV)SlHDqeR=_4?_g$+dv5C)`1NHu2z)vOw?nCbr4=_8M{d{D2tsW0W
zyV}<1E7$aRKxL(0$pR4}cDECIh6upD^>9+K<eP0W*#qCM+q=gX@mOo2?y|o@yhLy-
zlQK}5Uyzsl*~_-6H<s4nN(pteM(i94AH{^w(6|ESBs|oI2mmzJ5AIXrBIQ$K=K9U)
z?t+X@p#euy-Zd2b<5mX@C-0(+ZJlJoSWNh!C#T=&mcl6+LiRxrSrx29V_26|L<j8L
zlQ|kq0YmqUMU73{=vlKN>@(c5B)zQeHquaoyaJw90>8^(GmOgP|CJN|pRv$?KgfSj
z$p61Dhq+UA?3g`$njZ)I9W>+FhisD0?nkR-cQ=41pGW{fQFjME6jLyBs|tH{aS;vV
zp)0P8ndJ(3N*Wp(sd9Z@FB<E9&2~GdH^IReAmo+>g2nREC0sTnMVCAO&ycWm)f&us
zV1wfF5~yoS0tHj-?CdN+I0D6a@Ax<@E{?d_YuEXuthhKOZ46S#$;v7i4FjvAyE{)|
zdv~^l3dlfVcAT7?K&R^*94wu7KdC7CSZ&qY1(Nl9XJMMXcZD?Ee0%`>a4re_dChOq
zOb#H8{odc|>S{2}vb*s6cMxahOLXv9R2n2DB_$Z7m-D9wI|E`V_}}PvA%6E_OT=-$
ztyN(Y3^gG1^(o1tTFgp7{v-^z_%&Z;)k_3>Sa)RH>P-QZ95H{x%?{Nx>yKq+1PI;D
zs|=tGR(<*u3@g0qGE`T`1qO2X92cRjtBa|s+G{k=sZKgDFkmk`@UeXO_ixL!=gnA?
z6iiHUAVpXKMJVi*xVU&kT%4-5_FD^6)Bp)UjNOMoRz#Ialxzz=KbqLw-Hl^W3ZpIr
zRVRvqS07bN_fAeEh5~*^atisL?qN-SGol0>SKj1iH2}#Uq&)FJNxr%`>5ZllF?Vu`
z`SC;7_hi-!6lSn%Ff`GTubxn4(T(+UYHATAI+4JZoN6#^pqYC67C>M<00&liZtA0I
ze~B)fiwg%xeK5rZAo+FxIW`(dtv`SMWCn8`vOdQMEiIxXL9<veufqr=7bQD8ZXgux
zfl}X%L>7J(PX?dm=EBR&+8KeO_~k8&lIz}rLVjVPCCKlPwo_U}_P9OJYE7J^WzLoo
z)@EB8MxB7EL!+Yb$jQmGi;MegTkG}@4@1Jkv4KeZh+p*aCNjs)8elq>kd9uafatO^
zKF7JwGywYH5E6cwYxN<arNxtzlLLRg(0VebBrgwLUR{weFvL)q`H}#+s`2GM9DwPO
z1{bsU$;p4-2)1<qX<69*2bZlVt?&7I5zv1XfU#Xq_bhyYAcoQv0dNfgMbrw^I%tP+
z+qBJ>hF8B#9ym<f>2LfGKvxC!uKYAyT+GF1+z1;hdJqmA9Ljc>tQe0)lxpF#>;aZz
z5!g^3i2B|qJ260u&joWqVn{kMT0+o`ph19#yYqYvCL<$*62Jjym)a!6!729e0bhT>
zP{{bo)!#uuE*_qb;@@Ux8T|eIPtHneR(f*m!jRE47~m>YsLanZ0g;MY!kHd)3kxeN
zSTQQWTU(BRyo2-d;)9N<0|0Q>{ol%<%VTC|N1b@cqmmw=ZRd=wqdX8svbDV}Y&*gX
zbZ9KlYXH^11NbBf3>IjU`KoYwT@cbt5kdp79VMND(|((n7z(<(i79KRqB_u?g+b*`
z-ZPDE)G{xHz<ihM`giu8-rnwk0X!hi^+u4e5)3kci7voJVnF~)qHOdM3|wrKPo@Cu
zNsW}`1xOcopKf|DRiF_u@a#WJOCdxIQq+Ylo||F7wn{j!!2?nA0g5<)FB;x^X26rU
zcW|Ht=1fqw6|wn>^3RT0)*3Kw#`mPYY}&i|`8v9UgoI|+-C5U=sU{DbkgzbzjzF}q
z<&Uu*Jc;+#o=fF9rQItUL(R>B;Ua437ktQAhBqK^!Gsjk&E=}xXr-B4t;;-P$E^Hk
zi61~4ZAH#Bd*XvhqVbje6zhNZC7ATdncTFnut0+v{ja2qjg4Kmr^U8@H4wYB9#MkH
zH7w{Q7`G$b#RqW+CZPybQ-F=3ox6NJb90PLeuwWC-!~Q)<A508;^LAA=n!=jU{VPs
z>_^1LBCX<Nt!*1N>^ztCtgW2VHh^|+_{o|OmB_k(=C!uUDk>^w>zBSuPPV}r4l6F7
zYX&<5IpO2<7mkVZeSTGIm3X#pZd(-<tgjy=gTb`TA{Z(JX-o;IsSpG}kAkyv1q(H!
z-{C{9#CttGJ<QC^9WX|}^FsxY<3N9T3*H4ft15t-0B&KCm1O{oof1IL^z`(oQM7S7
z(W5%t8Cg#OUS1KttfVCCm)mpe09c}?27k8tNE~{%TF`+3yAC803%unwa^GGXfd0!%
zUx1$$QTwU02OKdy42%{!HG%8_eBsBb@Nz7~!F2b#s7OUcMdR~zQs59F;6nmN8S3sZ
z!eAIWpx9p?3`<x%dlm}fj2etd^tN9g34#%a?*4vUFg>ASY)o(JcciD}1H|+W4Z+rs
z?OzR6z{Ff&ju51YO#gE`E^@qLT^>H8S{$%6Ww7DQfa_Pl4tZj<0Ad450F@enMKLik
z7cS2ZP_rdigtVB@c%hS{BdS|i0E`I|gbpY_=pgjKJjmkFq*-MHr4GuJU=9-kK^X=*
zqs1wktkA?ny}ISLn`<B6o2wJCxtob6F5`C+ZTN}hnp!DJecgSs?)qu^XIlIF-{s@u
z15Jmv(=}MM1?b2dh2CXl#euU^!a=JuLizkcjKo~=sOhU$l7KH+SX;vZ10LPJ@UHSF
z4Is;+W+oDLuF6X9Lt#%+c3S%$QK`qjO;5*<QNbW4j#DAjkOX--DLFB*e1Wq;LJpW(
zM@vhq?yHxlXL+?TFa@|P43sbR1dj3ZwgKLO6H-NLt+V@j2I+z82I&-dw}2K8Huu7;
zPDnozkbtc_Gfly$agjTBs6of)p4^>McB+;zUJ9BJ)I{IRGocCi-n;*eO%fg!2Z<jC
z00sBt&NMI#*6_9k%i~MV6qa$jzsU}%;lZC>fqxD2{^wY4%=!(+_F@l@WP<inFnA29
MD{CPt6wQPF19)D|iU0rr

diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map
deleted file mode 100644
index dbf5b3a..0000000
--- a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.map
+++ /dev/null
@@ -1,7 +0,0 @@
-<map id="bayesnet::SPnDE" name="bayesnet::SPnDE">
-<area shape="rect" id="Node000001" title=" " alt="" coords="26,153,152,178"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5
deleted file mode 100644
index fa18236..0000000
--- a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-e4818c342999832413f96ae3dcaa8265
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.png b/docs/manual/classbayesnet_1_1_s_pn_d_e__inherit__graph.png
deleted file mode 100644
index 3c32bb165a9c1315a3447d0ab5f36690078322c6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 7614
zcmcJUcQ{;apT|d(1PQ^TL@z@mh#Dn&H%Sl?y@w!b^g4(x`Us*&BqVAObudDr_s%F$
z$LP^B+TNabci+9XUHi{o4s*<K=G^zMeZJp`dZM9vgM^+00)gCssVO}Lj}_p%_8JlR
zsY+2z1|Eo>KT=hKTwH#=Z!AcHK$zTMO7hRVGdE`fpFQ(9m)*fI(Z5S1A|yBsTUZdK
zi~7RNd0t&HVYNrw`Md=FV@%qJsf5Zg<qYRL#Qi9KG)i<&?P(~l9h$B9hQ3F4vhql5
z%Tvlw0-Lui!l&uCR{or|E|*>tK25OL!3AWtCi-FePMT)7eO!I!YVaY!tk?cNjA8Y@
zs-~v1+=$^Btr%AK2q<i>Crh$sp$jf%0>9abML^+GfiH*^`V;(b%C#k*JRqp+&6IF6
zHi>85*AEB?C^*qMGYV&|4Zl|L{u+BnFnc5`=^NHyUhd$_C&*Ig>eqYHgw<d$c~@6g
zvk^Cwujozh-Ok(S&Ap?ecJR{4i^<)EpV8jyB{fg<^&{KbRHi-Aj%p7dw!9Oxgg`tz
zJiLGZq%D6r%w=0OB_oR(wEfW*%kX>3zU+H<H>pj3_Rlyb$(s}uuYdhAXOwUyupcko
z+}nHL)~mNvSa|nie*U2{pA$7Rb6i71gA<c|4Z7SBEo$80O(8btFZ|7rPa|6@s?H6w
z(0DZK_A=||&!6u^UQ&`VOGQph=<}L3(9H#2NVl}My6i5&AVHH3ZPkwGfuW%V1ihi5
zA-Lgd$Qd$-+T+Jc^7432b;~q#u_|xhzO7wqkVa%=Fr=oYwr@S~KNbiH4pu{ewG@|>
zZ0?Ka4XPn$W;Z?2BO@bUtE#G6&&S4evt<Kk=l2{$8SL%s>StEITC~1PN*XRnFV^M3
z+gWolZ15H=(8!va_f~~(7m{a<O4yI_wzai+)(4)S{(*MBc|&q#b>L!lWKbs-`el4Q
zEjxQ_pH8)m115U^e)*R#o!C9}((<yPn3z}}r~Kj35vEY5=<}d0H;j^&&rm6;Qwh=2
z*_mrvR)9ju;$OK^>ooHKu{8AQQQEtA+%=X}h7t}F0@l{n2q-Bj=`ChvjS}5%HpTFr
zKbV|Uv(QwtfV4c-`26^Ia@82R?}`y*iBQcP8TBlU_Dyun@c4M@-Q+jI);;DXCRxLx
zw>2`=V2IV_<)2xSUI=JXQj&!8tW;eSPYn~H&wNXm|IYWT%Z{pWud%B(9sx%)UIfjS
z?QtI7OkLgGX<1q76_yEpMiF`K4<9{}@ZK>`f6UdFem|O-nRx{3K3(yGR9joyXWYcg
zV=}d?>!GiY&+k@p*^fCnEU4p!XfpU(%%hO&K~YgrBJ{CRAU28$3bhukM2MxO&LpsF
z_h`$8vHJS@9WgQ2aew{{J}*yzk~50Sv9Pd!ogB0hayj0a_n!}=ofsHsuBZ?K>6dcn
z&K)T@P6Q5z8yFcqivHQsn<3_g+s8uruik<zE-cuJW*9tq()|8CYry`Xss<V=X`1Nf
z>U!M9;Ot&ML$eebN>FNs%I=riyB>Igo)hBcj=Zgz{WfRu^L8KZS8-oY&*Q>pcYS&o
z>mGD8e#w(uoc1gqT0fYsab|(-hLFqrV)B|Ed|@_a7ZVp}t)bC(-z@ROVf6VK?qKKW
zNY&k4gxP;berai`*{No6F<w^1*qHG;5q`kwZ&hy}pWKfh2}o)0h4xx2Iyv2gunG%P
zJxbwyt&;cs{OrV{T>mS`goIF#6$^`tiOI=?2wPj*X0!8MT9E5dPR>rpZ!isw@R}Mi
zb`B0fIL;m9zqn(iFewdhv$m%6@+$_2S}+s}Yx(s(M4pnxe+LgDzKN`q5ihFz^ofu@
zmIyI2uO3ZyP#w1w<EB?Hypkd6*b+=g`hL*XcjRys2kqcciD{lFw_M(gjJ!s7o#^wk
zyBl*T7B)7v$Tx3V#!8Il=jZVt1GXai_3n3sgoQ0CC%<}an-=SrUx7R^G$g5<j3K7t
zV&&z%Zed}ermh|ah0%#QF?w!Jg@F*qFiKETP*8OA^*QNjnw!5rt<x<E`}y2u%G$Za
zw2{8733pf2aVpdV={dhM-|CIY@_J%mfc^G&Tr?U@<3YpnKiRBdvitM9ou%AmQ6<5l
z236zXZj*@|$`Z^GuuzDfa$ibMorC;p2_yY#Sn{N36cV)99&fq7Iw<bBK_}`k5fmJJ
zMM+5s0#Q&@T*j1u8+UPW(XX%~{$^Ox;7(0PcTHAS_HAlvcUIG@`78AF^smlOeR|#r
z;&-R=M|?Mzd-#xKtk@vLZ@W>?N$(SGZrlb<x?bGdG;~P#%+T=7+L~R&KWd4Hh)AJe
zm`zfWLD;6x!E39;sOCdmU0o|}e&u+x0TXCNCUI_FZLOo0v-z5(9ikaGjB1<+A(`SX
zR}2gc^qc%8y1Kf4t*?_dnvz2%kY4<t0+(O)W=k`GIBH5C{6$GgxdfSY>zDrg<%_(b
zA-&p%h6YAKK|wW5O;rmEw&#|XF4!SX0s;b7E-n>QBG)#949I)kA}upBewM(c4hnxT
z8pvw!n#~2?S5#0YCntlrv{k(5768phNmW(yABi)JMl*DFc6x)(aG8)rqa@KkgF!2K
z-X6!4RXTH69XA{2rr9?A$=9t?%({oJ?Z*!RP*R`;5fc-C)8_@-nknrk3c4H}C1uO;
zv9}CvHIGroU!3ReT{Q#@1|w+JF3_m57vtlLot>S%PDYk*ShCWU%riMOq>$0uwz_KT
z>+35dB!tM#&Go-HJ3`NdiinAIZ~ka+-@_K<cusM_N{wpb3`<gwUfbXt)HaBCD!R@U
zxoN%K6`!jZvD<XAwWuk324w+7{^G?8vXcRwEKg)sS;H<#l_8(Bv@{m<$L3}^pQ;Fl
zz{+v-gL>gUlbH>P_2@j#meN{>(S?W9)YQeLrCVPwFgbxvdaqu*_|)*W8h+y02PXLN
z;gl{jI2m_B%{XDmWlx(weE7gzrY>oh^zpRii1Y6$(zgcXFKf&ecL}!X%fyb+?dQkY
z-@;_?f4a>`Sl61R;pF6$35Dg<<4}h7_V$-;^w$yULb}>vGB}Kswtn9~SZE1@30Vr+
zTj{kw%F}T28-C*BBa!XBKrD4QVafiZ<^Fn-PV{VKWTc$D{A;8JKX;5bL%}~u;n%A;
zV`Jm#9FJ=)_pvvvk{^1+S>=B>f2At@Mtj`%kE#ffpUC|>B+aKMU!Gy6O<Hf<7L3q5
zo1^uwSmy|{XItsGr}B#p*3!CFs)+TyU{=X}ROBj7)~pG6Zx?pXk4g-1cZ0p*EbX|b
zL`)1Rh7^~GvCYmLaHn0XAcc8K5h&b{<D)=%c}YLy3f^Fkx++dcsZjQ=Ar=meNSe_{
ze28L2MrK9cHc#}rNkjc}zePtW!Q|Jc)XxZLaRNlsr+`3H?fC2wzgA2gX{5Zz>o?pz
zS13k074cpS3sfeZwcMwa_r#ODsc9-$a?DZ$o%cF39k?M^%yCq%dZF%7gr}mm<MK)k
z4wt@i_yd+jXtK)bqP%6<5J?!+dNYL5U6E)pJAfA(&Kf-3zTpX#BP_~m*HJ2(i3>e1
z#;UO9)4*4A@%MG9RES^UPI9h^7;#=dvwb~sg!-~X1lA1i7>)}w38RBR<rZH?97myL
zma17~bl9&bL$;dij>0d_PcBNQ_-D0wjAeD1%-ag_dscC3^M;XM!u}bce@D6h!gl{J
zPrz}}O?!KL+t5E&X4O88JWfpa=^-uBce`dxy5-nmLm6%>J%6gprq+k&;vH(xA)GKn
z`kOZgQhQCuSKcq9atI&0*|XtCem4)Aahk(7Hz%r7_x7&kNvHmcT~-#=kN(TeN}fU~
zfl&FTJk4M71O`tCDE{?{SM~}0nGzu%KSI4yeu>iZoBr7AmyJK!LXub7^ta`l@85o#
zoZJ~dK00c#IaOtAXXo1aCsu`HtkfhrC8c|P`jSM$Z!mnd>1V#gP|!C$I(<xjmdKYD
z7An};6-qu@r2>Phqq}?k@b~`-Gnd{URHdZQ{6$04;slVLl8Q>}$&(->r#eEFJPJ-u
z&U+Hu9&7;T?(y@-&v+c~SP&5sCPLTO*7S{x&{!9hyhKlABYLy?%a<<}pn4<DN=izk
z0?!*-F_R9WV<RK($X<)qaKYQR3(y|DfS=0C%bBLq?%UH~`g1f9#h*X329bG))05i3
z*9uYp0Vx+@2z7OJ2e1RUQ&ArupPt^{ST`?IrZx41v$L~0yV1LLBJ>XtKa`_s04*g#
z0qA@lU&n55_Xh<*F54os&K>)di;JskQ@=!)j6pOeEiDb&+0vpA9uc8kH0s)sz~+Dc
z2eV9jv7BnQvO1WDU0iIX;858a$W?@P4i{)@7Yw_c9B%F(9DI8CX(8s8u)dxi=38$R
z)$OMUDBwL8OkWnXb7{${FGEbTbh~SFyXhnj;=M6ZPPV9JYTCE4;ecQY*|6o!Jm{RX
z{PgJ)qm;LRIv15qZ@Mx$Ir*CV1E<M~FtBe8>!rvgQO1MDiVB3Osp;uXD>)W}Y3FY`
z{$NywWdC0=l003bz!J<nVIiSa3`RBjrvgIi)h`I#-+y9c1n~Bc`PPWNFj`Y{MMeDX
zt}cKA`uQI}?(AcS!Ma{JI`Z++kcv6a_F#t#k{TGTATiO=d6N#-KxY6kaXhHXBH@^{
z;jP@)**VYP+%Smsw6^BbxtnZ^<j}i1IjHYGT2P8Zdkzl#Crp$_Xq?RIS^_2nadFz<
z5rU+oq;#ER`>fp3$a;_ra)kHJo!l8G8xN2Bd%L^h?yFDoKYaoMB1%R^#?@Q5%(PdP
z*(VfQ=Xd0UJ2|P$&kwh*OasUIco_y@+wrib?BMWlQW@&}LExWd+Nn)XQ8BR^Ka2is
zX`b;4+d+1jqiHvQz<#1tYL6Z*zLyWNtuoAF_Ii<!6&qG5<57SzA)GXrL)%FKw6DR<
zwo%J_p6sF{DL4ec7WqiBvtJ<!!MmGGa&ok-s-|`gjJ2;G>$=|F-Vlfg{f(4+CT{>P
zPdJEf%phrbbc-R7w<#$t4x*MVp~TlnNfq_=>7Ht9v%x5VjEn$S$Hu{d&!HLz_=}*T
zvJyQ?MMuXSSUPG4$TzckQrowYIW{)-_z)fEe2V)g;>}I!i?3^Y;n2xj`*3h&X{K-)
z48jX_@B<7+^D4t!-6A|ldpt`!NMDzY2|<U6uXu!ngkTUtAfe&mUHwMo&j}Y67QR|_
zQiAmZA$+xYnHA`b+=d2Y<_*B(?{jnUKqa<=^#1Dq#}$C@$B!S)L7~<j&H62S>J(nU
z9cu`?3^JstX=sSDG$KG&_hd>`&RBxpqwMD97Quhh#&W(`^OEWgYk1(3UV5%4)RWeg
zo%Sg}fywFW(xmX4#Q_O(jKe9EjpIWOw`QV;hMr0ogO(Q#_#fbV7?36sK_Ft}c6N3N
zDJet<Zhn5%$B(ZM4G(Jpy$)2ealJb+9v)s~R8(SWPNvHk7v%G(-N^WOcRLGcggO4Z
zumUuoC^Zd@Hsp3wba62+D0_WgnvLl?DoM|c=BX-s$;^N3r}GIqsfp*Q^Gb(hTZ{#G
z7m(_opMH6lkRS)@r)acmveHJFl{E;ke@uKlCNEy53sh0%hY!Kfw6|}SAW|M{&yb$O
zLqn^Zo4vpgC>*sbHLgSO@$r3|bO72Yzo6hY2M5P3dit)Txj@uRX1OC74DtK-Z+{%N
zAgdaNSRX6N(=A%wnn8kdkkH4!7neOtXRFbh{>#aFU|m=&7RJxd4?w!B=$_SyL`7ve
zHxG~7M8Vd6O%eF5Nz#yg<IRH8Vd*n1t?z4VYh)*ZpqF{#>lhf^;s4|~*OcXk>D&C)
zSe+aJPO8w(HRwNptG<5z{JGtJIBp7h=W6Ng^z?M^g&)M(5^niMRe!hO`jm6iPJ=nW
zhlBE4QR(UQ0eih-rw3($z5OyLJ<Av>Tnf7$pKl(ZZB41)1k8RLg1pAH12fCl@Pp9c
z1rAU(ApN%PDbmT6cJoxQ8ms@?@G}-t_58Wbcay*dC(;4z9>v}7O%8j$M~%|nj2oWQ
zzS_$#y~c$S)DZizNc)?<tb!5FoGUwgUgNp$aNMKoVTUO%23p&%>Oh{D#as9-eAM+C
z|M+adx<Aa{{T;qJcTn!dnei(M3M*RnL`d_MW)kWE%$D!l$B+4ptqh2y;qC$o!DJ9<
zb8(gB>LFd{eOVfK2$h}{?I3oCq41R(S`=?vg?t**m;UxK!K5;jn3&QW`CPAv09sqZ
z8b+l}N_&ht8-bY$Kz8ca*dA3f;k^`m3b*N}^3^m>G?CkF!KZw`wF7ZU(p4yCc=%L`
z!b*=-_olf`{Dkz^4|D5vc#&U}S^S_Gcz200c;4c4GrCow6x)0W_x7D%ba4TQddz8Y
z3o4FO8X)4uqTV=NXYYWkx3p3+wZ99x`a0sI@*~6RcZU19s;Gt4G2Kk%@x_Pa<e?3L
zHPG`&D;5g9B^fK{p9)vFAS>16S7=Pno!5Ad(l$zN%HIDcb-nUpdU(6^KYM5YFMRbs
zUUYyTwR%Dxc&tbag9m2Xzt25-0tp&1cX#95VuKBR0h(SwF9*Y=mji)7VNc1KrRbWP
zn$BG6@g8EfuHa16)o-k=uS=e%iPEm7vf>8;4V{x?7MP_$2T9M!&@!8o4P?;nN&IiP
zYqdrvdP|7zy14faYYK1O@AEE4Fycr^Ne4$p2!Ouc*?9#zph|!g5Utjg2D4+fB9{(b
za7YMp^t=gvVqUJlv<ZwTRuPfEfEwG3L*k_L>H*sd+77(Wb}ur!Ud!VO5Ic@hVqr_D
zbn+2@V<-@J9w*13UtX5|&fZ>Yme*_)5c1I5w>e~G&16<GoSWp8l?k8Sr3S}6(}qZ3
z7E%Ezw>2hlX$=Bn@$<7(v%{PK9I<ob0S)Md@)a{aec9501yjga@JEA?>}Fr;>TW@E
zN9`n~#s&t0<U@$$5x$2xNnn}`*i|uQt5R|$5rdhUCDZRzlLu7zaFLdcqo{~Tvvs8h
zvUGadnAh;zwZXx`U71*w5b!IQ5vsFdE(=OMIkIN6GVZH4fdc&sP|8*${oZ<POw13!
z4$GUMcRvSm?9$=@hRpJr*R0QN>%Pp%P27y598q0W6*T}Gao>GzU^P0S&OD`dJ2-ZB
zcNJV*1ZB?lwcqtx1A|3LS=nN;;sx++zk>n2GoVP0S9_`;v)3aW86V#cj52^xaX@jm
zm<!02=vww=N<_xS0%PU)bg%z+f8aUQ<tl+A)98C2jM=Lp--BWq#1>v(Wp1{~frsbk
zbAcJS0H$e#N}kKa3iuNXp|qVX<Tg7S8y*0>cHk#QEi61QHmV_mOgScnj@tbMb9E}V
zwZUgkAmG%yz>=Dt{!;bV*FSjon5*ExlM4zZ`2PL-al7pK;JuFV47^)Q;o(GTh|qCU
zzZ*I_I>11>O2#N21P0ayx`rIU?mM9uB%nd>EJX9O-@Qwcn3xE7q;)&sND{Ebdti#u
zL=#eRJ(hd)h;%mK#1YI^D&T2ddcY}sM!ztah_7D-{Lc=?y$?q9=CRl))Wz9$M^~4^
z)2Ea{-E-6$IWn=p2FxogBymQaiE3nuzeYQwW-KxoL>-y|B*iB4=&?&lF+v1fmpVN4
zHh5|{VJ#+JGhzL*7mPq4(8&f!T_TE+b7NKO>8OKft8K$+(~Z2rNZ?74fTdm|AqfUj
zS>O5Dv$w6k$JP%(P;HU$i$DE==0a&xo1`QpEpP8=`~E4c9}BuJ1ex}lgYO(3s@U3c
zgT&A>HjV*X$}T8K@%r^^fsEc-U@bY-W4WH`=vWMWgaM;W83rT1w7vnpJkFN7WmiRi
zfg4AeS5689p8F?+0>>|3BkRqF5A3T4zF?j+K5)OLrKMGi$@ZIquM-9RjHYb`7Co5c
z^588C3kzSJ9=k+1dLHsgNJ$x!c>t4&_TG<gFNdE1Sp!NEXc^k<>}>sSwiMRA>6|P_
zfc_WO%TPoR5D)XEjzsU{`3Pk3cp8ub9eXRH)|I!2LUL!CUVA5vTgwso0NFtI!2NTB
zwA~2z>B-zhI20xxa4NpLw+CQPC6=BO1p!OY&VT&9+_L>LiT<Ldwm4WDh1@f%17`kC
z7f;zY$$r3@H|gjiL2$bC764puh>FrAaj7HXk*>4Fx<$ZTyre?li~*<s5okF(nu|Z#
zMzP$uapM?0cOD)udrn7nTjK|CJMoOku%l+Sdh5leHibn+6qJ-hPC4&5j$Y$%zTc{=
z!PeqKUTsZF9RE#yj5+YbTiNhKgBbezB#@nHxBkxlXkc)Hi}RaB9pJjR8Aq}1Ab@T8
z>KRMU7|=byEqpF2YOQry6ae4@>fka2FJHc_-K<70d6s2Tew&$*w681x<r(6LuAc7|
zn|q6?04xSrP2SX$86e#ftCy<H!Gq_Oldpgu=_&ShJP)ttl*qVA%l_ohKuha22=C*p
z2h^8>7<7V59}Xg?r9}~=l6U%i#<iOd*qIZRHspZ9muUCLjGUD%Eji+trAZLA?pVrd
z=eaoGZ35*y4_d4|P&)1pn4FNC)%VO!OQ#6#1)`muoKoWX`S_AqkiLGv(yaZnk^wxu
zFz|th&vg*G+(FyR`mkquY5*>5XK$~itsMf)%U=iMW)T_%t<!aGXeJw>G;;yE2mbq3
zocXdhI(RC8Sq;QY*kz%BZ5qy3Zv``i6-Mdm=Jp#SdvOb-+3{#uKv<fv%|cn=8PC42
zboljK!7qpN=bK;SA1|_8aMy?d<s$_Y-$bLI*d-W)pn<M951Lf?!%qqt8e|9r0^FLK
zh^XjgV+%6eJazomH$@P1M?2pf2+*&S4wwFPXVPsKkoT8+2s)X)2z{|ZB@xndvxQ1i
z3J=)2px<5w9HfnRYSsRaY-zts3jrc$ZqC}$(z25=cS;2Ab~6r*3Y0zEo|~Kh1BlNd
z;$?^20KY6-1*jBZd3kx%8uqljx|#-j1~P!1Lftt7AE|*Uv)ii*gd`C;^K}>^AvHAu
z1XJqIQWDdY{mYl~Iy%(;{{B;qojFjDofcJwf_5XHnM;5}NEOtO>2(nMmctXt1iS`N
zXrSG|>CL^4K}kL_F)_i-`fZ1K!uP9gCFm`QDu!Rjx}#92z=%b91_mu1ov_Q{WmH`}
zjH#OGG*d@Fed>p_<E99F15(SLez`2K=H_P8QCALz1h=Kx%R~VaRM2b77>KZ1Bx7#Q
zja433&C6{84DRK1D>#FD<qhxj#J?FgxpONWz=8n(`1Bu$k)Dp*G(MxWLX1sK8IFvN
s9kydb@stqIB0#JJ^8b32YG1Ih3w8R%no^~K4`d-QWeufL1@qv40d>sU)Bpeg

diff --git a/docs/manual/classbayesnet_1_1_t_a_n-members.html b/docs/manual/classbayesnet_1_1_t_a_n-members.html
deleted file mode 100644
index 62e924e..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n-members.html
+++ /dev/null
@@ -1,161 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_t_a_n.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::TAN Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;TAN&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>TAN</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~TAN</b>()=default (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n.html b/docs/manual/classbayesnet_1_1_t_a_n.html
deleted file mode 100644
index 3fc7816..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n.html
+++ /dev/null
@@ -1,329 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::TAN Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_t_a_n.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pro-methods">Protected Member Functions</a> &#124;
-<a href="classbayesnet_1_1_t_a_n-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::TAN Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::TAN:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_t_a_n__inherit__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_t_a_n_inherit__map" id="abayesnet_1_1_t_a_n_inherit__map">
-<area shape="rect" title=" " alt="" coords="35,153,143,178"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="28,226,150,252"/>
-<area shape="poly" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::TAN:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_t_a_n__coll__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_t_a_n_coll__map" id="abayesnet_1_1_t_a_n_coll__map">
-<area shape="rect" title=" " alt="" coords="122,168,230,193"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:a8f1dce13241cb61005d1d7fcfaef2cbf" id="r_a8f1dce13241cb61005d1d7fcfaef2cbf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a8f1dce13241cb61005d1d7fcfaef2cbf">graph</a> (const std::string &amp;name=&quot;TAN&quot;) const override</td></tr>
-<tr class="separator:a8f1dce13241cb61005d1d7fcfaef2cbf"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a8b479c1ded14080688231a67db7da7b1"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8b479c1ded14080688231a67db7da7b1">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a8b479c1ded14080688231a67db7da7b1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-methods" name="pro-methods"></a>
-Protected Member Functions</h2></td></tr>
-<tr class="memitem:a0296c5af907bfbc5a0c8309aca7a2a48" id="r_a0296c5af907bfbc5a0c8309aca7a2a48"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a0296c5af907bfbc5a0c8309aca7a2a48">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a0296c5af907bfbc5a0c8309aca7a2a48"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_t_a_n_8h_source.html#l00011">11</a> of file <a class="el" href="_t_a_n_8h_source.html">TAN.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="a11cbc3696a24998891ed0963bb905474" name="a11cbc3696a24998891ed0963bb905474"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a11cbc3696a24998891ed0963bb905474">&#9670;&#160;</a></span>TAN()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::TAN::TAN </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_8cc_source.html#l00010">10</a> of file <a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="a0296c5af907bfbc5a0c8309aca7a2a48" name="a0296c5af907bfbc5a0c8309aca7a2a48"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a0296c5af907bfbc5a0c8309aca7a2a48">&#9670;&#160;</a></span>buildModel()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">void bayesnet::TAN::buildModel </td>
-          <td>(</td>
-          <td class="paramtype">const torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>weights</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_8cc_source.html#l00012">12</a> of file <a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a>.</p>
-
-</div>
-</div>
-<a id="a8f1dce13241cb61005d1d7fcfaef2cbf" name="a8f1dce13241cb61005d1d7fcfaef2cbf"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a8f1dce13241cb61005d1d7fcfaef2cbf">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::TAN::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;TAN&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Implements <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_8cc_source.html#l00041">41</a> of file <a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_8h_source.html">TAN.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_8cc_source.html">TAN.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_t_a_n.html">TAN</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map
deleted file mode 100644
index 0684efa..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::TAN" name="bayesnet::TAN">
-<area shape="rect" id="Node000001" title=" " alt="" coords="122,168,230,193"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge3_Node000002_Node000004" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5
deleted file mode 100644
index 4c81c1b..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-c02f97b240585f440b3a51e1b4f83e2c
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.png b/docs/manual/classbayesnet_1_1_t_a_n__coll__graph.png
deleted file mode 100644
index da93f4c674d6b1533f9b5db053b62e4f85826c25..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 11120
zcmc(FWl)t-+wMaM21rUHQqsNY6qJ%p3P^W%NjCzbfP!>`lyrBONOw0#clTMm=lkZ&
zd~<%Be+Or_u;+=j)?L?qUH2DxSqb!~L{A|ILYI<!s|Y~|aPWKAV-)b2l#kF4{zK7!
zFYy+-fB2W$kR1s@uOO+nZ$7vr?#{VtemK1oKA13>L`HmrI~$W<EGezIQHu~qJXbDL
z6F;W<sI)XMx+$OW?_X<oojRrkSWJRhoJ&Q%Bdw8Sw+wR3uM=b1$IOg=KBc|AuD5rr
z|NNSpX;~Tf*H@NSmUtcd*XxB%`s;a)d4rH%1z?IkCjYMwrl4Anz!u#NS^FHp5Ug~e
zpNe&Dt*z|D8M_x37r~vTs^v0#NqdH-rW<lm>%7{HnB8g8xh(O8jO3PLM>Y@_Onk<E
z=j&fdYh>2Uqk8i+HF6lNykr}z)%eMiC!vj@3D&hw8XFr!8%c-iGqbWNXlSyhJ(5Vx
zu|$LM-is<dCbxW*Mi+p|^?eXm^f9rd=~MCmbSl_q%vKat(s=KiLsUFw%}LCPa)S6Q
zy}O%B<-3NPqaL_DKN_^UwzgEWp4@hExPpa^?Z@lz@0Fn7+|kwL@j9FLoyX6gKVg5*
z92^|}^G8$^0wkNr;~N`G(B9dpKaec=vDVQn!?LQz>}!`0#Q3ooBJ(^^sJKk=zT<7Y
zNOzt6=k~8RPTbw5kPkMH$m`E(F%Emn^yvjACgk5DUu47yZ>!sH{90cxpy|-ZY3t<F
zktP;|iHE1M(lYv8QAvqSw;9@*t--;0Ez|r<D)L~vsEOj$D=6qWDI$c6kH0eKyigIK
zF2=yXAZBmR4uc~>Z{NKmr=xqqJ!^|(@8Dp!`sauEl(oYMUbrW8u`Yc71#EC}J;l3_
z{T{ry?QD03*eIcr&v}nT=wi`d+^p_RQ!+jt-tx`mF=u0RObluSSCyK)yzZr~N|qT>
ze<H8awwrMo;iE^7POXn;YaD1<SgLX>|NN0;R4YX;YP_P?H!xr`8>Y%vulPM}Uvb({
zC^Y(EJtJHw1OW-<6*)OVxWLile|-t4{w+SfNT|zSXp)Q7_oGG?Ml9xPo!Sbu>K3=Q
zo<e_md)s^CIP7|usuqj9Z!JQFdCc9(5K_y_aWgYBRV-}wrl(81N8sFgXFF4@aWYQK
zGx9U}BG{Xon-yM>^h``v<v1v*zM><B?Bw+HPrban4$jUx!3oN1YNA2GU%!eqdEGAV
z?_&rH3-_S9|NTi992QnMEFQzGb+GS!PYivJi116WX(ZID`}8?H97A7UpAmKbJxfD?
zkmptN!U7psteCz&h0lAP7y&`S!@KMK45e(@gTup?U@S`cj~`7d`ZR1BUYHCdceH=O
zIRtxn1|9rMu+bmQQHZ``PAU8{WZGUap=}XYSg=2SrCZQHI{M+k(qHje0%cWC3pDCJ
zG2t<OlsC{)RhO_TA{F)`(bm?cWo8zalzbdU${)C~VOoFO&wp_;BFE--vcY$4zcor%
zZZYvZPqj$A%6cx|(ljHjV$9%vEk;ND)2GU@wAd?ahuLa7m!;465QNX79S{_RipQjG
zXqGJz{_^6miwpr;@VaKYxw*k4AwgqdVd+ia#xO3cnLY$j@F6oAcs(*Q@+$_0JRzGr
ztL2pyN;DLtZ3Z^B9}vNd7ag;+ny+8KE_L3Y|MukzxfIHyM|QVYr=ze?H8r)9g9BaQ
zpxl;|&Cf~sitFnWsR;4$CFJDfqJRD@&dCYZs&!mC9uOXQhR@6@D467Vb+S}y)Z?-<
z$>!$nUY45bv$nS8v0E|0<G3Lov07r#_1Fgs3yYDN*;r8#`}XGMVlz8M-71ob-+51_
zLEC0CM!RSo7(jWYe8`jvl1&jx`ijT2tRyGc@dbxwcwitLgivX|lEy;8X^VOiF}L+E
z+3d2NvS~wOV{GX7__(M#>}qE{J)I)rS5uR4)6LQQh}Do63@$TPRbx{zAw)sw#NrLw
z0}&AsZlpFS{=T7?^6368&1EJ7<9X4QE<2IGGBPO9QIHG_3^w=n`f+Gvzf+m?#<t|-
z<nS$A_f%bW65H6e2V+rn@6J?>^!0_dw6sul>v&y$23Cd<h4%LL{>sZ^Xu7+yh%i)9
z!Mi@$Y;#`ltOB-(h!ExG=8jk$krVDCwyyS#i;FvT(_tVH@`y$8C$Ah5<zQm!W8crs
zPF`MY@i*g2a9#a_Wgg!N);6rmT5Ql2rdef8`d(UkV{_AN%5G?AD3RCUwUqttbj8Wx
zp`MqQ(ATeD)igDG-+jfi+nFr6xjkRl+}Y{nUhs&_mQ6~}GGk<7qP|=}%3g+3b-VA?
z1PusX=Z|r*c;jp<V#S}&Ig_Qh{v#B+JsI&hXhGfF-tMV!SdaKM)~K=VU%@v~pdkU)
zPZTPicdGonkD(w#=(?tGuzVbxs`K8gT9K!A8gHPn2H#otec)>;*;rOz@7rx1DHU|M
zMy2b;fnIHOb@8uX0c>n+n#H;ZTAG?4KYsj^`96l7g2IpLa$Liv1h}BGxmvj?mYA4W
z9;sYzZmy$)!%C!_kQ4?6Mlzq%@A=z2c@0ypKNH6w;iSu@2t{u;H;b&Uu8L%jEaeq7
zitf)hV3Ck~15a&jX+eMn3$^%Vk_8BXp9FLpwu1a+cYk}11Pu=lgM{+!?)ExEr^#z$
zqKIrfUkxb}x3F%H&*P|@X0lihsn%&b5Io#+uC_v2Fp8`a<hPKcBl|on?OYJTH!EcK
z&ESn8azdBLU%q?+Nf_gMRFqN0f0BZ%x3{-uy$hD`?TJ!_`rUELy>52|^;l<rVfll5
z){dH_obN9zWN{@VRJ!e`KHPlJh9Ueh5RZPcw9m%}y12Yt0@+?%R1|Tq@!ERUZM#5H
zMy4I)56qV@pDzw;5dptb9^aj-;|4Ke6<6pXpatGHQ)%U|`1=hD-`LepN)1C3lQvUW
zYj^h($ab+A;bdnDhmMXe_{*0!AodWEkPslx>$8e{XK*Bx6cmW(^X@E~T3SqUDo3ZM
z??9Y=|M5d_s(Wf`s@ir55xgdJsV&H0Yc%&ycXta2@&mAB1CW=ZKQV-#D+dHua1l#)
zAS6Ub2R=m8w6le0u}XGP5sQF;K(W)d$~OYG^uLuLQHOxjH%HB^IB!-b1@*{jZ~bZ~
zymNm2Y<xWYc5kk3B}!Gh1(YZ|5VN4FK36U8J2<dy@90=MSZX6+H+;NTz49FRH&WfF
z-Bu9W5JbxVsU0}P?|jvgCX3~roo^ufFM%-YsCPYPHSQ&F+?hQ5eLbs-??;akfbmiw
z7@okT2R0%pCl^#z#eH*oivT5X+lZ^H$FKFFJ$dp5Jh@o61yLqNXznO5oR9<M^78T{
z2tG*)N=l@qrKOKeUV;&kk!*Uc$cg;U&y)C^L|t553RI04%En(qJiNSWD18XJ0A^g=
z91mC|q4*>wk{B8pkuxwn)2OoU_(`WUSmR)VM$FY~{=XC1-rk<eN+|ciQV^N`NEV!x
zC=?XvuC1}W68kmj-W1^`^`@foFowB-%AMo!)Pk4SQGIb7sB?ABT`@Xdt{pRI7#Lj=
zWS#+U{83t_rU)~{Lmy7Y_V#o_LsopR{#X{kCYFn<?IHxtTEzR^ss(+pea`W<jg7|-
z^#VMr!R@pa9M{&Ys_LqAC(QkHs{@?+)#ar^_K4lp$tEKUOZJedAt++}PFwBs4ek!p
z<z^lmX+e{j@9}$5cUnI`d*TD?QNi#Yh@1_OJ6{UA4R&{b;V|yiRZ}B`zs7mUy(T6m
z&xv5c!130O)_SDwoHeuc6N9L-;R&5IDIUY-2~?LCE8!z!V^J0ph19NQ`Kut|mX|BJ
z*6PcY9W{Xfu)n!Dd`N9fJ)`62CnqQB*Yc`K@mYtNG1}=M^Cl%FZ7wg1>gecL&sGnW
zdabejcdBB8TX@#o=qr12R<ZR}e%gst?t(Fp2)KL?3k!>8gKJcQ+$n>PkADY3`;}C5
zbo4M-1xx*bXw+`~<-Y_+M@PejMo)lLx~IxaG?=lKg_7wzVGLB%)I%*TzMukICGA^$
z7O%tnpk{1r9Ev)7xYCv9!BbjVnqx*Jb<}V^ZvZl0=&rKnBLUYV!>CKJ=&A*;6_ACP
zc1KmMtRl(-WW;_K>^nV_HYznm#a4e*jH7VjyPOH3>Il9<W8s-$d<|IkV7^S)ZPtu2
z$oS`bb3L=Ovw^fFDsb%h%0B}G>mY($f!!T?qM1S)1&8=x6NBZSNv@g1GPDJoun7qX
zWBHw#U%KzG%{onJozaU0zozN(>KT8fI#BdhS68>9?(DPav(-tPsnsD{(Z_m7PvGPM
z#l8Vqn4*)Z<7|DSqoY~*V!_6g92{kxP0mcy(SNxYR8^Q@PJDAx5yWe$B`J&r8FH#o
z?y_`~cbJ`AAT=jhw*TWEKhrbIm6qdi;kztuZxQ2|t^=9EumV+3^VVkPD+>4fflJ7k
z;qwHE$HCOm8|mkt^vaBo&L1)SewTXWYU({`>pn4}E@{dohT#e4F2j*U+<-nSg<N!9
zispxe%7-3Hc)!g%vXejBm8TChq=jgcKAD^}wp0qHOOHy6mc@mP9@9ZZzK|oUKM%%Y
zs3Q7(6|-hV;ePn?Z>$ew7?a*HiXO?$B0jI>*P#xbbR|D)WqJ0|5fLg_LaqdQeO5kN
z95k)ktK{?KsW|$@M~<a2@3~y_doi|j_(!xYKGe+FTqJGsNu4)w2t1GvVh){be3HOM
z4_`bMXl^V!jXMq>ksgw;H0fsRBBv?n5&BlCge!-->b-@D5hE%l4e-anGi5dMbKESD
zqkh{zOG8-<SE74!izha9CL^pD6=2M9Hh6AX6!$}FF<u>yjsDRi-G(f^?%#)7rb^>9
z@$>P`{(G6SowU%v_urAVCxnG}yjjCPmpzB*kP^DcC~V%X{yQ_ayfk%s*({tUKQrb)
zgB?b7mxb#UI_hxy&1R~G&H@+ipQ<ioyTD--mc<C!`2UsDy1E%Bi2Wci)VNPZoKQc=
zB?3;8!{X!9R?RMbS$X+af8A-w>!hCIz@^_PD3DUSgbq873s*fIRA?Z;B378Nqb&3R
zE3e|yT!StK|4zM5)kP^TDSpg>&k}u@H%`xIwD|hbi#PA!Y2!K`uUhi+&(?)4hL@)?
zpY-81TXrVs7LZ|=A#$DDc6ydzN%u3V*KGXsO%OTd#?D{+o{Ffgorq~{zBN7l6kNZk
z<NTWgSqSBKvenV>RNz!gzyy8}-R1Xktli${ZX&mzHi>k{R;j-4Dv$5sTz?qnk~FQv
z{NQpsz_1pR^`s235%Hj*8(~3Wi?=;&?aS*@%SE9oMTrqS+ABYEgvWR1d3=44_7_QX
z+A5151&IO1&r00#`En6bXdmG~96o)5nyel0wgzNugmx+0N^1*5j9P}@Hqfk0hXTef
zhFcJykjQW0CdV8PlY!P3XN6@Ik%N|RNcvoqDRFTdccz|?;04i*xG(+A&%r$Rn|!ob
z7iWi7>710lRPaP#Lwig24n@RAHaqmesqmp#@X0|dB)J8nZ{*@2&mZm2taQVUXZmww
zdm4mjd}iA@`qv<~1nYNw@#9E@n^el>^vWYH{%AU)SZdZ6Hp83c3JTXKWQ8|ZVsuCo
zZ?fS|oP3^!MMN{$m!YXDhJR7`+}-q%eB?9rW<zW%y5>2*<ej%HHY6p<grz8D3$pXO
z4q}0D9G5b!WcNl{$A`o%i1su|3%!b+;iBcQvEvKm*A_pt>!^NHeR5VP6+A8~S{CJI
zN|sbE;PFQP8*(-#x&$+Fg<=mX-OA;0tf=m@7mab5Cb10`*y)@gTsrhAf7aw+Vn7$t
z2n%mJ4nMh1P??|W-HXlViJ|ZAXayC^f(L#LmH*c&Dv%T0N7Wd;Xql{XW8{n~L9_B{
z<nnBPst!*tDZrQ*lQ^w+{p*3S{N&r^?LSr|M*H#Y-ky{9-?@7<mmx<-TUe9%zFUA3
zcD&VF%K&!#<SsN?OTX4=HMe;^aA{_<qdmKqMDxVZn`a48FrL17&L`WeTdu?$Mo6Rr
zf+gy7GAOKe9Uo5{8Z6B7RL~_i4Hajfr#7(j2EHS!U8@E=asrn2&$3JvbC=7fIN(ld
zT@CO0ZL_1Lq;YJby9X^!{q&9d{+$(0r;LY<U7A~I)Ode)eFlmW3qZ^Q9F7}<5m`BT
z)IW;Wt>nQ9Q&`#=F}FGO4Gc;4OP%3Xp=x$05Vr*Caqw%QHWFENZ!TZi>^gBe&Z7MM
z-pt$(b15p=OwQzEqrF28V}uJ5>_j*-J@p1t()+3JYEokPcb7)~EsNFe=hhP;n*|zG
zwE$_==roc@Re+8|J1VBY5>!2FmCB`eilwQ^tJ|&`62EhJJS27TzR=}$<}sZy=N8PA
z7)a=#q6U3{*dRPaTbfI`%%6nKD^OyT;ype#_K`Cb93I}Jls!_=nc3vDhrXDxv$I1(
zK|#@bczB2dDu)E*0Z}3SL9nHQ!5o+Rllc8%a1EqIb;w9M_go^3<kAEDsDd}hM9k~y
z={<rsp~iDxZVr#rb-XY*r1goCCg+kK_;SW91woq735{!p;+9_Ks1kI=&&zv?!kWBl
zfa0IF0^mdKrep2Lh%!+zF@AnNzB2^dn4+TnM1Z8~wj65*q#7+?MErD_cNooDkS;4h
z;Sg+>7`ku#7jMA_e&$8(ufXCmcE?xnL`9V#X}h(Ly}qqa5s4{QT&f!0WBVv>eJ(C8
z)=ZK;=Y+oB*n&o4DlIK-0f`knotT7_G#inJ7!U6Z9YP}$y214sK$ulhS9jz0@dI~F
zh=;%Q6r!RsME4PcQb#slBig>cY;tvV-2&js)w__p`?;2t0u`)-8oZZ4Kzz{vQ%BNv
zIwdl4gb<S78b-?IgkLud_fTy@sodQuEE=cCKFrd&Ly%YfPDRSS=A}9`L7VAiXJ^N|
zyu56W-0V+fah;dFEEjghECQpHwtI1T{)Y#%Jy31tqDpyX%-B6<O!0Ps3AL7&CzhLD
z_mkt_X0ggb9Y8DX+DxiyhW}BP4z1p)&_FQUaIB?>;MP8y1~g~p2d-`ha&mIPC`Du+
zGVhzA2}5?}x<6FEBRJp+W0^%;4lfRWC<cd4cbWm;p}yid&~-*dbwGqz;B46?l^JH!
zRnQd;71it`sLpvG1c+?rs9Waf1Z2%lfEFo5@85#?^wq|Iaud>G5{R3mU(zx%J7(;0
zl@W>4A1f;Hu;bJDGOP7T{wXXW(R&c(u6sVbMvc?O27@mi4U+j#@A>H{btJT+0Gzoe
zRSIG;9Xa{ZM_1QNy9hV<$oMxBUVE1AcYx>gx>yQg%p8@DNI?>jl>B3t`Qex1RtA~Z
z1^JvIJ1OPmd(c+TTj#55JgZrg91Z*M!|p-{3RhV2RtZ(!-qBKYs4_p8fBCx1A3>yM
zsKw(t@fW#CynY>uf6IG1r-p7r>AICL{v-OPN{97+St|Y%LHDzX;NZs&YZJgevjEB3
zAltrXWMnL(Gq>6Vw5U_e-ik+1^TG=@gASL9@p)=a)gF|+?cAJY1YD)Vu&Hi;`(3R_
zQ<tMt&5zl*s^65t#g@?NZy3yp_p6+x`iAu7QGeT{eWdcG3xJ@vo0rnRlCvZQ$%>ts
z`i8pRbXPS9ubPm#Pml+gic_3wV&`U?MJHoS*WrOLuqak8?7`)Kc<#a*EFS1vz360?
zcUxx36`>qET3<0m%OC%6Yb40c=6XL6wEMrmP?)LaQIun%4-22Hi_R*xmyfsyuQ}cY
z`I`)!m}b<Al`(w)ST0`K6O&aq3x=9aHGAIn#`i<7mQyBfndLZbGJv})Yw*f8JYOWF
zttZP|CjoVbK;^mgk?IG2h=j$CJuJa}=ZYN^h#fI6N=aC(q#!<`3wrZx)XM1fSz&fs
zKFQBjn{mfONcJZmVb{RzWu@rD#S)@QupHp%zZ6}Po*n~(fr^owS7Eu>=oLc$@`KrP
zYy2*WJD&PKAmLv}4C10QvxnVdv=fKKHtE-2WjAcsD0(OB?IGKaejI1^kTn-60jd6s
z#vneurGO-FUa>jy!$;tI0`3zI9h!e-u`cqHy6x(bvoO<#`ldT+?&`yptcSokUIl+!
zS^43{Zcm(2;>;xac!;8R*x@e4B=PHiood;M$Hl+`iQD*m#bfffUomS!%P3DrDXI>6
z-6s^MB#;!XFN^QVZGhR-QEJ?n<9q)en#U=+5Ikjhw@GNQ?*=VqAkg_chM-8S9~r+`
zO}_-2ftz=HtVnFOMEpv5>M@^O!AM-qB8l2gw`f8WPC>|pc}l@u^{g&<l;deLJAHk*
zdA?goZq+>i*CL9Z*|_I?Zg}$?0Ctq;T3|9o24oc{sLc@M;zlF6IIQuUIx1P6ucWT}
zA~&KIcXgN9Mj&Sue+C!j{o(0HJY<Wf<%wCS^`>>4=8~t5#&ea4$bRueqdOK{5M?k%
zPx}_hg<WxAg4oml`M(xux#6$Y-j8NnRndN!MlcX1XnrbsmpGG#t`+B+?86F<D^^I(
zZx{1NdP8fN;?sU2O~%d?XM@0|J1b1%bSQU5NcRGFfSeb%18B2-MWS~E(wHGQ@&`3t
z^A+VEjEszE8GlN6a&Z9&**-FYgMff=#w-R?0<_1)>4eU%mUtd8>i=kjME)<*MWyI}
z=@q8?>^l@JEEofV=OmrsWZ~bxV?H$4pmB_z7)TKg2MR^TuV23uDpL{?zCQeszcb82
zoWx^?2&l2((9n)#LHA<E&0+DWLQ_5fr3T|TOp1;Bh}>iB#t;z^K~>sn@Gv*0M?oX-
zN#b|bZw+`73p2y^x;<3|H1FbIni%A>ysTe;y;m14Z(#~{C@Cu&m}Lg}<mAwTZgnY;
z*jmKenmLSwcbInOg{WqyE^GTsz(St>h>ev5#CpUkSQQWt<X7x#YHCJd1=?0B(J3i%
zWmB3~jZ>EYHb=58v<3{>*@T6g=B+;M&BnPkG|oGPlJG_Vy(4G5|IZIfUh`4f2tdld
zM);7IQR%5yAm?-%Lv?$5TjO=>me(^{DJ)eA$UtgpYL$s1+p`@tBD6r2>+Lkr$@cNV
z2RhTxkZPvFLLw7)zh?a<-isGMs7~Dk!Tp;nD{Zn#e20Mcrje3O7Kl?&P>BBYO`H-i
z$i1P&+!0ifk&%R$m?EmGs&1~Xhd?7LL+<;^()b4)>+r}(B;bbD09hm%(G^CT0hsg!
z_kBUYRReHhcX6;J;C)v=#${8phDV>dvAo<mmZus?wcxUXKJRtC8+}DDM+OcGij9a+
zwDLAIG_>6wFQCc`GPb&IRZq!p0Hi@DkY>sNF-|EF_RHTNNl-xG;%vsop)a1Z9wd84
zD?nQ0=Q9FiXFK*=d1o*Usmf|brRZEsR4G{65*-eG3klH&#=*hCnW}TP>1=QRPUY|C
zR}D_B2X(Zq&A+?5dls;h{Ei#VfQ^hW)YK#q6cl_Q3jpc;X><7VfbhKli)MB6$%*6H
z=135r0agI*zOlR8=jVqAl%ZpwUaSBok<xw&-WD9JYiGw684<CuzTPD#d^>8MV0g*_
z2NZeLyjx!9COA>W>=8BdqQ12>wVB48JYdJFWz?VllU)A+Xkyh-9?MDAty4GN5!_{I
zO)1l?%uKa^f~TWOfMsFrGv){<;T46CFp`x%&^SPeVWgu=%g)ZG&PmV60Q#0p#Oic~
z#e;!wZanbt@yn{KV;|W6$r6Lh>;0yYsi`=d#>>}oNqq0%BOle()v4bCQBN;-E!ll<
zscb;Vq5?i#S+ovJl97-=94ekMwniV6Rq^0_r<*ofX=VlcFF5yRYs$1ei(aKo!B$1(
z8OACsR8KZXy4Xnx2!a7ix8ca=aXO~D0f<#UfBzE4O+_9a9tZ;K3hIueF<9vg1*+9#
zy(`CF)4dlYqOML9^7ZRblehQD_5=oyP1@o)EmD8B0%|4bff**|vJ?TD4kmawfYvIx
zT@w=%N8Z3Sf5yaUSdFOM-Q88Y98!2)ZDyMn-2$DjC4&0Bh)N%h#e+j_jV#oTX7Ar#
zpI13?2fuzL$7`NhT2`h9BU)NrMTU567a_N^oi9Is;<mT9zXIx^udgrU)987vK3)fU
z2q3ihy6-pO7Zw&iMn`{SOLxNOxZ(5d8(I%4KR-V)KC@;s2xT^p3tO2az8Ac_ydNtq
z3150$=zSyR?jJ6cJzq!}c(G(u0M|GLn|t~4<z%fBgZMWBg|!Mmu&0-om#Y(K%;1k-
zeE_+_#Cv=AyC**UJ;>8^k==$hGzUP%m@GHL$&yV90nX^+?%oCjIH=h5*!UN43_nIH
zDrBHtwD~=H#_D<H_<l0<|B+~|UW+ES$gg+;$;!$qCu7u@47~KXyIkj#t*fg8B<g%~
z5SiBl#oJ;EORujd0lHe}-zWwk1mBp?R8_L%pKeNDTfATRjH%iU2rcafH#Px*L?AVe
zZaO9kdGhu2^q9ej2(htSL7sWgBoeu-h{)VF$RDB$h&EK+pP%7lL*Xw4)idXuw#SF&
z=8^>6PEsQyaUPVS(o*(#nb*&WxxV%H_mjX(F|W^dd)9hlR0&t|2#zVc%|@~gyJ=F&
zr(a76-Ce9W26@NUK+rS7hgkq8r#0YdQV|bc4>n?Iwti#=AGsKQ&oTtKNbo#IJG-=^
zqN24eVKpb2k?BUjU>8;V$GZ*U$FH<!tQ4Gnu))dcOQ>NCJ-xlFfT_&u6ZX1siNY{a
zQHfqVO9L!_IOw1_D^=|t-K=&;D*v;H?*!y!==J%2)#d!a^fZ;(6K)Nl96s3ZW+hyB
zOZokO(pzCxQ<U0vT>${1IjhoQBY1!mpKWmGE^4}Svz{u=RH&jRN)9j{`OXH{`|;z4
zFA$HGOS)dRX*tgs?b`>KMz3zw6hB5od#k7z(a?jLt`^Dhf2hU(s;CC>OrTgj$HvCq
z(Go9v16AI)W@4&Jh?aepmu|=~Q_pYMHkJJpkJN?kd_yfO@z;tAROY_rj?s5paafn6
zL7?j&s{9k1W%@(*?ok`UiBDkeS>d~KCeRbSQ*196zUTKW@n!F&ivJdnWoq|wT7m}q
z907W~pRf3>)Ilm8{l_3K)AM6iJRcfJ1eJ0u1%du84wy|~dj91)Rkt37Km*tN`xD)<
z!a*%P^x^xzVmc#mq&<Yi4{UN+%)2uyvi#B1fWCqcrJIJuK5ouD5_n`vwO6Gil^*)=
z?5Doh2&OT84#=27Z6Yk!AE>9X!L|AVN9YY{ZKjWSMh{A5RYU3$>S>4mNt%Y>wQU5@
z4Vt6Lh#>GS`o3nCDt`lZ(($SwfMQAH^I*>IiA8I~TVkp-I`sgxg%SpzG<lV9H8=-l
zdagOP6+mXDSh$DWIef{;*^8+@s0le#L*i1VA<@1B80iE#C*gxR@``3xeiT>YRz}Ws
z<MaWTeG0#l6Em|tNb%v){r?%n!2W*$KmTWL<NxF3@(*on;l{=WlsT&BJ~2dF?~c&H
z>vNdiz+i^P!mQKiQPS`gbBuSo4jO_1=^a6$OXcE|`{h)fA4*JIoEbY&D1d&W=`XxO
z-ok-u1r$H?efGD4ASp~UrcHSOj0#Bb{~Pvu*go*?95CO43UEj};QB5072|sW7O(>a
zhe&5+(=k@SwbbZpG*<}-d2elPS=~;zjN-_MiJt+)1zOJ1zgJRHQu5MzgQ;&qmFi9H
z?X&29(=sx)1K6^o)v2se@4^-aQcjVPl;{Y|G(IpxBAkMkcZ$8hOg+lTd1uo1;=%<`
zH4T4nz%L$WQzkqQVSfpfXa)dXs`9qKnX0VHD2@IGvlvts^-afsRIqh$@K>z7Rh;Vh
ziodkArEVn{K}%2Xmz`}Ax@{I8I6SOaT~jlb*9X-7W<&O|ysV)N35~lZy*89Y0at7=
zI8jiU2<9O`#bI?jF{PrSO3lwlV`gTKo~U!&^sBI#Se`OT`7BGbPFWBYkd@PE$z=e5
z&}5x6i_B{r>xNU6-b7v;aJ?iP-hr><;R|3ZD8R_5s0LuN<DnV>ZR4OB2?MIewU-k-
z#m#~z1g56G0>Df6bZZRgkiH=40xIW0h@;Is=;K~k>>~4S2fG;p%I{kViIv*zLNSm~
zq8Zivz}yV6My2H&DXAw{XS-jU?r--^CknL+teC+F%)58*E`XlN1_}`xDIe~F=Q$}D
z<2eLc6p~2A=9Q$BR14>Xrau@$pkQOe0y64FkItRGtLJk2my4aUfnv|=Pu~bRvh)^k
zhb;euiz)Ph8Ub(snEMF>y4Hj20)|(RAdkznm{?XlM1Ur(1kPt29(+Mu90diPC;(LX
zHcKuf2*7ebfb3587svo~cLCxo7A|gp^Smo6Xb&Ea4jTvOM`WZw5Iq+!*HgOq_v`&<
zY???DxU5P?71h;40ByGfFkTzSfPnwbjwQfegXRg~-h+dK=7)hEps6B459&6UlbIUc
zTN^no0p#E8rx`0-N5}Sps(E!Qg0{XsbYR{NFgxI1UtiBKeV%?9If%<iB<v+HJ2y8}
zWut>e1bYk=`d42-SAj;tgW1v1@u$B(5R6ZNX(NB2oX7SV111HzIkT)3*bIoGOU=GW
z06h_Kn&V2g&dremb*mGIUvIF%jL2k#1wKGhY(T9QIBdsJHje`>ji#pNV4f<=$?gok
zNq=I=v@sm?KfgWDn>=cn*ZY&&fHwlQ9}OY^@DjvEh@YPyeGib7(}1WCBwEjg89b)1
z9)kE|F0QU=;8>zJfjDLW=uCO(hqXvbO8O{11=L^Fw>f}*^cI_aAM6YYZ!j<hB_AIV
z^c}QlprF^E48K>d906GI;_6Dj^Bdu0qbEO?)pP)}R;@1RzX(`$eT-`Ut|S6P0(Ph}
zV~O^{BnlKpKA-mn#Z(U<!d#~Vh@64IH7Tj7GZoCS&ZyJqe$z2B225E7f<^&a1jTp*
z^aJed?8Qbscml`092@fu{D2=eNvX)k2U86IL}>K0f*uG#)9qt$T^+x+=c#f}M?3)j
zKck|S!01=?UhOuk%YiQLix+ypwSi=<6;;$9#d7dHzpSsb7?@cmmK8xP5Ur&58jL=b
zfH5cYw9Vb!(1+O2@i=@0gkB_P=X3E~smY*+g9CX6_!$JTb8wV+-+Q6G6d(Y6BuE=#
z;QSFFfEgsLtqZCDSXVEh01K0Iap8f%glN{f&8!65!{v87b9MMsAO-T)1Kc4gEiLNi
z#s>!0kTk1p5dfg92D&QKu9`ss9I~~w6)`i*HM%S>hxJ%+!ZnTo<fjB}G^O}A5zwkJ
z-3Ou*2ZGiKG?gkEG%y%07`OolSfrtnT>UxdIK}`uu(&alaRD}_@Zm!MxmchsXz1jn
z$%TYog3bn(n3QA(CXw{P^v=b3(>*$v(Exs-_vbq~2+cOiZ~=X@BH$!0VD_ct)2_PZ
zd_Cdk&z~PZf8Gh6nl`eTI<Z}1yCmwkJ&q2Bu-d^0A36;UO&+JZ1rCJroFo{uifv$Q
zjfaN-%ucj|A-M-jKsj7iec<f@V5kF(2z-cJC^L}*PBiYKlc)F;L*M|?c3q3&o55%L
zDp1o9mFHrA4d<RSJU)g!d-`;7aZ#R$@#yI2p%T@YfG~o<)KQS)Qxty$aP&o=*ifOr
zfB)M4>m_t?b8DTMnPE?%>Q5GYmN66zJblJ--^9uav3Rz1ba*dL1`cOpU}ExwC(q6c
zbjM}oM8(9Yh8}x*c>HE^2BreTL@0obk7YNK4&7GPL}*G>{CgC&pi)usB(;-x>2tL@
z)3!vhX(iylgFrt($;gNX+Kn@2iC}R`llb&Ej{EbZ0JoMp6N<w4fIa@lJSThBlsIt9
zv|qp4=Z%8hSQGl5pB26t1v*YBkL%H|hWD7KG%4@@doK0ACsgC7?@>GWc<m`JGSI;Y
PEhP0$_HCi4uHXLx!$#QW

diff --git a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map
deleted file mode 100644
index 93ace0b..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.map
+++ /dev/null
@@ -1,9 +0,0 @@
-<map id="bayesnet::TAN" name="bayesnet::TAN">
-<area shape="rect" id="Node000001" title=" " alt="" coords="35,153,143,178"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="28,226,150,252"/>
-<area shape="poly" id="edge3_Node000001_Node000004" title=" " alt="" coords="92,194,92,226,86,226,86,194"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5
deleted file mode 100644
index 05ec32e..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-056d4ba29c060a1c0448fe1ba10ac890
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.png b/docs/manual/classbayesnet_1_1_t_a_n__inherit__graph.png
deleted file mode 100644
index bced2e0c1d9b95fa2d120fd5a83798bf65581f5f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 9898
zcmchdbyQVhoAx(?h$0}3NQnnfLQp|kL1_?F5RgtmT9A+q1p%ppgh(TyNJ_VWbc&R8
zcXu54?(@z&^RAg$-<rQ>maN6$c+TF>e)b)|`?|LOV?}AA3$zyy1R;`@k$4Kf^AQ9G
zhX5a54X2!*gJ1Xt^3oE>DfVAtWqLS*Fd?!M;wnzDD<dxI&+M!2ukZcM_2Tl<!mH=-
zJ^SvqF&WD!2N&%PYt%V&-tN4wQ{5tqmjfDF1S3bTr^oYLA!qTYsfcyQ>-A(YRIG1r
zu2&&@`|&fAh1JpS2}b`rsTa}wsD+lhZs!!a`AXrvr7i8F_Qi7Q&qPcF-v9Wio%zC{
zW@KU#!X(&C)lTrhS_b{vso}%rnW&r})wb8r;V9X|FQ<RW-d0^bpz-|J+HZfswtS%{
zU9+4~eEx^eITD9bo!)9o0&n~GOoRbU-kjIH3Gx#On47$rv2S#(tQ3z5xgGM7k&)#Z
zw^GS(+iCNBQgGTGG!g#3wY^>c@rLr@Op&prCD*9)64&(1Oj2p-<*A0Cy2G8NTh802
zNX@T6>W%dKnDd|ct$n3Z^7c2(&CGIN_OMnQE@s-ieqI0Rj>-CjA0xAX0L?Y&;QFv@
z(z(t%W`T_TvF26G3HLo1{QdnS=YOSndwYk*#f@ZIK4K*wbw9HF)7Lkd_Swo?D&=Q)
ziu5hRhKm)aCr7F)TLXE9C0iZB8}0mKOw7z@wr1PwLhhfuPfTQ@6LqFQ5_`=yc89D}
zva;IQMGFcGuX1yfu!f&UE|HV_3=eA!J1=EreEll^>Q&ye;32l>&!2}44h}A7#m3Sd
z?(c`9xOFO;4i67+7H59_n$&ExXg}g$Z*R{_8x+@fB}gh>*fDzua}ghRX>rk6+it!q
zsjaDL{+W_<Wjx|E^CpJhn&IJt2SS!(BLgn957pch<AfqeNlCS{tJkWIWY9A+Gk9Gu
zkJWmll|<1-Vq!>mczC;2&&ZYxnv09e;^oU*<sRkB%N8$;jU_c$n&RW*wTdh*$Hm58
zmnEC)h-+<VkU|?tN#Wz3IWxboAj{3oo&EfWFRE1U=b483`X>8rXHh?5`j$U`RM18`
zIt)JE-WlDd^Ru%Ja|s?g?qoWy8<N4ad;!_n*>ra;Xh`UVB+w%Eixk>gS|#>Ns%7Qn
z%BfFZZB92=IBg^k##A4)Tf>Rz>FG-i8;Q}=kzASrcC!kl)vZzGgqyK~cKZW{A<eBL
zK_kO7Z94~bB=;{NTU%Sgq9n$~#tKSGY=eSLYD3bFArT)x+N_WNw6L(4{_|D&rHP3&
zH8pkBM#B{a1%+wM-q_fbIy*c2{QP`V^~p}o_WJrbtatRKf_9!+C=L%Rt1llPUt4o?
zQbGdb)a0ZLnw(WZ&(=17xFRr+aBFij8jXHHLPE0mS_p0Q;svX=w)Wuf-?gw;a343{
zQS0a_E0fF1%L~3}qhUp%)?o>+9UV>F+(hk#=yl)BP%6go`cJ1a;p!O~p$av)?Ck6o
zrl#t&%N;&t$vRXqn;03b@AT`g*_Mhnb$54v2nw3<CAzZTbS<Q-vC&UDgdt*Y!D@N7
zK`*-#HvXFm`$4SzTnm%#BgRU>&K2rRPfuiZs5k^w>UQKXYS$?$8k}0$n48P<!pKN#
zi*nGwk;}l)aAIM>AKnw$9WZQaYVvG0s%>QS_|ViOqoSrZm7d`4osx1bATaQjNe3Ox
zMSLS;V;tnEvhppD6ITI2LH*McOxMC|^&c;YWNLeQ$e%oUA|o%4E6dBrH{nBaPwden
zqP`qm?tar^NO1vSVZ+IK|7hNqWN^UtzU7wX!5?`JD}Sw`a6C~m574NK3?ekBJXkHl
zBkW*j$kT74sd*(fHkL^?ZnR(^D|01<f3B3RQg9AZz5%{GF+Ke!{jXZSOsF5x6<^5I
zrq-W7e`aK7`^u%(o?wn9=H~pmx*pdzHr91?5F_K$({IlbQZe!IQR4gHxa_U|n*0@r
zgRro$beR>>+;<l_gNsW_L-W4AUP1=_HqWrp0773zR`%!mL>(y|-G}Y%ZDNd*i%YAn
zIWO(}YoQ-}IenWmtsB*+N7VxrZ|*p(4*NqkR~)UDXJlmj`z1iK#eDv}u~Izdus8!7
zTATLhvsixJ;lHkCsxf3uxqVe@YlR=l`1Z|PC&y1C3m>7NqB8iC@uaD<Q(8-l&eqNj
z)^HJ7-`k7Y)2wj1#eD4=_AZ$6(jN3h6c_W0h=@E^Rb?e9`}Xa^qeqVf99QXBmEu20
z22v%JmC>F*e_p-RmW9D}UA#0~Zf9++bC<18>yiA+Q+)OtH^d=tiVgYs@$KB4U0mvZ
z{W`m_un>LQSkBL|v9U3wu&}U)Kdp4GMvHN0XGb)CZZwv}JYma$s+9T4MSR#^TqGbM
zAT%=47kjpX0*ckuRRRJ61X&&_r-tpdErDysXJcdgu3b(Ak!*{Yw8y+FD-%Mouy~<b
zT3RkKFa%Fe8$p%73Wb&Wrj}<^6m@M~-OP~KY;@*%#H^5(h=^!&S2~#PXS}FOnKr)X
z;-Z;~ib`T~@)=mFdWp?dUt;<I2;?9Cb{RqtY^{-8PHUBWurB;c9g;XjKYC$@aVQqc
zo1-heyRQo8O1bBTzh%$<8lCS>xy-<z$jHbDStKPbt(@NTB&Xl*Z^6s$&CO)U{*>h8
z5`$kCAg}W)Dq>Nk?ilAY<NoAqLVq5~$tC~zaR*i=Td2{_A|IKXl@)~V<E5{!|Juf8
zyxyOD0XExmsL0-l^!MMt?EU@$0h49+OKp9qW<K-2$0^-5d#fX;=79nAQHLQ*+ql-K
zA>C!|6YHkXtFH4&eomXyvTr`GHt1+*{9U1OUhFZty^$KFlPr~z<l}=2C30b9g==i(
zs&Lgn`QLlacJVIGc_vnzBO}bq{=KUjTG_DPh=_=|zSHBaPI}txjEqq0RLhaFh&wOZ
z=JR!q;{1M?bULV8-~Qxuy#I=df@1q%^tB_OY>QF_i#`8tJX9B@&EJ*%$;r&|_uR_V
z=EltqOCq<1qw=;T9mQ9-<=8klIG&=vD1FDI^c@~L)7^Kct3Dc8TW`2xt=ADNs45zt
zc<~$w1736Ei;mdA3AH$j-L$0q{M+9(3NLhuY<(cevuWqF?VmKmJ9q9HKYzcfA2o$k
zMUe7iJW?ZZQi;&BlJgG1uFC^?C(92nWy_{BWvYDpfl|)Q%(UzdnbhLdIiw8w>A=NR
zv?_T+g}wK==AKQRfAjcXw)=BGM6GXV5#Ew6x_u@@o-97so>9(mXHB2Nxq#Eh5GNK7
zi6F&c6yd}eO+`}3YlUUKCriee$C(e>eV=cCUyjw=LK1yG#OE>YWBK|ui;)ntKa-}c
z0_&PL-f1hVwPEB78*d`br@W*_9JffH;Jx0w@E|=oT1P#QAfM7=SSA9cpNA*V#K9sU
zR=alB>WjdfDwE<j%8z~q>;wrn88+D~uPB$Pb8B6L@AKe1nKteT@aT~zJ4qS4Qik*X
zsEMj*(&bxFZ-y6Mzt!EBrly|#>0wXR#Hq8<CCr*M=C`iQ->px?qb~j#-5bI+a!DeT
ztIg;EuS%EWUP%B?jKcfX&Uh<412cW`5R>1}AN`T>9PIR9?)nzRW7KcayqTb4>qDky
zL}<&Suc&ktA31Mh%Oif=kac!&IZ7$wy%>(?xoma%y(JIbDuYTVr7RnadSvrQ<4+0;
zZ{#O5-hX}fFO>UlZ1=zW1{Ef84e)YQe)G9}U&Sc>onV@?h`7UyanY(VQy6NY9U#=h
z{Hrq+#?>ginHNIytd5ROB&Un^=inmU>dmsDw4jSjy}iAFn+a!VqQ$MKDJYDB^1UC>
zi8ysl^8KQF{;$xxBu+&kj`z<uENG{D(v=J`hdV_UKVO)cn{Pl$O(pp;)E2z#S>Nta
zN+~E%aX*HpqF(9Dr=g+o-S#*phW5KoC9S1p)T&*ApdJ3JSFiTrldq<mNTF_O&Xn{S
z^f3JsM&YQ;|Af({l@NMiU*WY1@-f#fB4%c09_vw&<Nc`+f(sXFfl6@@jVvnbYD^Iw
zue`ar`9okX1y*u|iIo+<w6wHjr%&^Vva-+Qq(LU#URh{F1m&l=xc1Q&K$(yb64^~y
z;`f}KHQRDnUW`JTPQRs^nwoS<_rS}_Zqw;fyScKFPCcGnz_orpEZ2Sb@Ihyf&wf!w
zN<!lGw>$7+)N#xW)x5cBduINRwBuauaI`Zmw=6y$9*>~l;PTy(I3+YtrM|p;;2>tm
z*u>-xREghxZ&vzx@dkT(!l5*$gol%}$W9KI+6@j2$e;md^`KRXii$4G%>07N7>c6i
zRIiDSrYQ~9$(id)diW_OMh@N9+G_at@g+W5qLJa@ec1n2rISGJs-`C?Qr*415p}*q
zQ%Mi~WYFn~amfH_#a1J7j*gB{)fMAKK2dY)@M>=HS050u$R-2VI4%!}qlfd22~9d;
zZ|pf9Y?9nR7DL)PJJ(*{gRT@EAFr5i7g{b%J=<WknukV{5i^KH2L%Pi3fZ%-EHBSb
zPS)~|I{CmHft?U$Xh(u7lasxJgM*KkbWi1g4Bbx-<|>^>DK8r#AN>9G0f+2tZRh9a
z8cRw9(9>_vlSjwKawhNsl+Mn~++tyQ$H2hwXW=!fxvfp1tgI|QHT4~wZhL2EhLF3W
zCM}IMGBVP(E&7&%jLi5~<@EX0)eb1Rz@Jr{EgZ1`R?YI__%#4;W`!EFv$MYe6U!Y|
zZfk}wyGnL6HH|OjRFBTsnwhabV~-eiam>DG>o}L3ertz!bT?26c7JbWNE$s{<tDsV
zI>&(K72e%tsH?4w4hwr_s2hfp`{j#-PO*L+zVF+&U8cPGB_+|U;r`HE+B!OBL$5xJ
z{`j#zGLi}w-ZJsL%2hDxrnVe<xYC6mZt8Q0uPjyhEY((MbRF@cpV^e+zd!@iby?v%
z*=*(J{iI-FX}PjqA1`PpwQ9UNT<W@7ItNYi=x(8moZMuhxKBp^QoEJoo6z<+LOa97
zb|;q$`K5Wqd;2hsZJRBxd?z*fJm!7{#tWEIuW_F{cP<6EhdtuL(cYRLwD1QHACfXM
zk_Zb6Bc2d?RGjLbK+V9kSV#$^=Eg@pe*7qw*=umTzd>;EqJ*9v6B#-ARavrzVEVu~
zVMk^bma}z!B+@oEJimK-gtw=l?|Ni)n<n-wwDm1xVVjqqe`?5DxO!vhUzq1?_mAAT
zGaA4BVi^m1OD}T;GAoX<xW9e-me{|Pq?(C?ynFYKhR=**b8Cx~n%WO$MQDY%$T0>p
zgQ4Qq!NPc3!hJ^CAbco4=WK4ghbXzu!4a<H@a!37OiYZ;>ad_fyvXH1Dy|3i_I%ih
z+IB`xWPjYpRy$&GY;0)7>$cjD9H85Y$w}|+?biyQZl~56ZftCr!j^9n8LVnWUr}~*
za|@YT@n>nYdUUrM%XJ6w#!sG*{{H<t*R-4YV`OCQ$Ot_S4i4g3>9Us$p+MXZWe>~L
zh35UtLP8qE<KLhEc&w)8_vH&JRO0#b%K&g;v9TX2DnukCB*tss5w34;K5%j>aXo6L
zv*W`N%Ti5AN)jJEX$reG@WVtYs<oq|V*s*o)MZWdOKPfkPXEL79{t8(`u+7fl04^~
zMa4#b$D3_I3ucW&QF$D{d)vZb2x?znw}Aoraq81sLP9Y@altSW_oO{a0fNLFAJb4$
z{-Wei?dtE3f*BaqytC9#jwr<nbSGIoeM%M=7bj>tE%U9{?B?_Qx0aTcyfhat5)!6B
zV6rL3%6NEqSPd0r)y3wy5zC@sxX~)MiW`hUmA+`FHRGjS9j*L~x_sqI>yTCXqinmG
z{AQy`dG1PyAgPBCeL_M)zlVl2tCk)(#9sR>Or4sVIuiVqe`@7ru!Ys~Klp4?XIc9{
z^O>TGq~tqS4$Gy!tk_$IQc*j9*F<7PU5e_Q!<*|Ne10S*CU)+nm1oL6CDzg{C@9Fy
z$atTwl(71Ydjy*nWsw^?9m4}ha^2#qfdJSH_gtfkhiwT-=mhk3rp`yEHkDJUrF{Q>
zF;g|G_D-jWkD%S`KpDM0l6#;Xn28;7Ao?_muU=&8pP_tyDI4|gx{d0mYnoGbgm^#c
z0`Z@tzto`^e;BndjfA9y8S3Aja5xH3{%8Bm&2qVP$i(Vn{mW>bOLH&jH5KO4!=#jV
zHwx_Rf4xCWO>4T8uCb(KxjbdxFz5`>(&nMBxr97)$7tk|0SPga5{aD?BcVL0>%(0C
z6s@7&TuUKTQkIBMriF-|DWE0ywIGW6zGdFcFYrpTh>V(AM1j)EOqX?h*uu}xVlW)b
zX#S|H8fPv>W!;t&D`=;EDsZbX*PCsxN77b;4{79J_+1z?9zk)F?{#5<%}zb#;02Vl
z2s_TABFUv)+ViA$O=UMELbJTo6+E>?4f5+I-Ph*unbN4Jig@F6*w4=)1NL?fL1yRc
zMiaQ6?O2<%ux2+=rJ-{#k+o?vn<BG&y3+jkq(<`L>u>8<4HasFYsfK!zk|dSxHwIJ
zMbR1aPF{4rms9Y=XRPQPYC{^uC7~6@)nrspcP0oaSUDw_cUoxt6P07md-<xnxoU|!
zXRA?5zCzkS8A&R++CPE#KT!#mkpFMqpy6TM#vF~ERz(|mW*z173X$L-GLQJ~uGVj&
zWQD>)Lob;w-9u_d`-loa9Tat1*DEP6A1b5dc$H_5OZ5yYgRie|hlh8&6uv?zj#x@}
zO<i4GpCv(M*WbSZzP?^tj@<u$_`?6QQe358Y(=jF9YeGD)uX#s!|yXPuH)ftAKN8z
zS09tXlnRxdP3b{q?_`JY8Xl6N!Y&~t)iSjDw~+93zw!PhGBR)D*2w0i1n0#Yq4l7p
z@PIP&2GbEIob>eTI?$D-nJH$qjL5dUuTM4ftyIdwwmL{S_(ZgLvWr6`JfA;*PU<!l
zT9GD$u54p(zhZkoy!kDB_988Bh8o}Jm>4}C8t2{~ToMr`k2o~i8%8UG?qtchqMoIl
z{gb1$jT&5%@$sKNrsn28DJdz(B{@0V4r`-9bMY?3>=Cvney$_<gQmR9w{DS+x$V(|
z+_zdXMa-#PMgdSE;IK?{?_iqTv`_=C?5(e_!9?vl85x-x=#A4HA)wsA6<wmFe0QFl
zH4#!=*kM@=+QA<)zBHwT;P>wdK-B2GcXScE6<x!_7hxXf)UBd3Yz&r!kKMKW`&OFK
zjp7_JotV5lAvB+jgwulr8(Z7OqFET<y9Nf{?~S^U!1#_;aH{qv3F(9#E}Hj!$MIBb
ztqe;@2>EPPc0NR8lfc&2HWdDJS*uiYKMs>-_=#1Na;gq5{CLrxzZ`Dxuz#i42=)~v
zTbr3v6=1*AmjuiG^yw4g>2|b>RRF9jHt^#;PTovUPh+oyoJ~<eTpZ_v)HNirq=ZH&
zju=XzG-yL7n^DzzwQtWmZME}bTPJ9p#Dao?pa3<Dot`*Wtk)7^|LYcrhtN=(D+`K>
zCP9UBnu$<bZ@hm(`s~@W>+I~eHSgTKNqqC>&HXyY6HnQ2Rvg5agfaNlR710Uj@D`r
zbp5G#msPLIN>S|XpcAzHQa9y;PgI*M8Mr=ZlF+P7$x>qFa}gmC-M$nX7dNrC76RJ9
zB<RIV{s6GU_WjzRFkz(~I7COn{gCl-J(?gX3TkTHlGi&iJo;zgCS4#T)aRkGf&1=-
zf`gDkuzGu+34N=WUI#=A;_@x?K2DLN<sbCUpFr)Uqo>Ep;QL2MQ^yBeFU%cSu3yin
zqnK=&iPtKz!GZQAW@>sJVM3wsu&<%J`>n7lM0?iMh@sfn_R4m}97hznhKGlFjG8XJ
zc~k$M6dRy`JFt#d>*L}OETq?@n(V|2HG;}l%Loq+4oX&vh8{nD>^ajKg^QS(nRWH`
z`9|qDf3153froExZO!>SA5Yh9hZ2}!d}%2VLhj%fl_&Ami$V<|pPza~X?z8`Zt#I;
zNYv~$YGcH4%sxg+LQ+y6bbXMyisiU5E0BE;AL7ETUS3{C5R=aMcYc270LE>`YjBP?
zLOfuh*AS#rbT76-7cQ{Ka)?#ee`t-Sq@<)~aPTrHgOR$Se0T3AXJruq@7Kdkz-}do
zvUEbP31nqu=}(G14gv+xqJ0IvaA&VUxWOz_T(R29U5zyfgw75E=!D!mypBz_50~%Y
z1D2>Re67|hRwjgWuRg`BA)YY#P*6}{cNfYI4X^1Xke@Cf*RNj(%`=EDThqFd5=5&6
z_rn{&oim;z?nf)8R#pvgrgP{Ln~5_;RwDt>Y5}VzVH+eN8?>~vc&vs6O5+7*&CYnn
z#nEeMYR;_4%gIeQmTBCbn{E!z$jbT!wg~oy9q6j7(|~mSSVw2{WdcmRb?xm$fRU9#
z4Pp)>I$=QEuO{oyyB^F$nOa!X!zqHA!`U99Q6S(>c%006jE|3dezvZ<temFsbL?c7
z9}f?&1`Yx1<G+39&c+{QrRE*qi<iCG;+@WvJFYd1R=RX|b$NoCDzaXK`}nI0h{ZKn
zE5>!-2FtzO(v0skEKgQSVDUBDjwA0tYpc=YVdCYb07jG4*T4GU!2=|*Ctq;P{fG-9
zdwlZuhFfQfRFHRZv12;5TTSX|pvcMo)c#h&>98Tj%c|zsx2Yw9L+NOLe|Wh6zz}3}
z2niukFW7LHJ~l;1VD!N%#%R=4Vc{!h&z_Cb$;A<assI^AqNdhQY`w|m-_jyCzvKLY
z=2o&27MsqCRmC}0j`Uz=qI4gF1+xh;e>7A^JuXzmTnzgAl5J&rx=H#9D7LRoj^Ds;
z=|hp#UhQ|En~+1JntLLu7PDDBZ+bW}Z;$NQUoMdXu~N*|_V$amXfMcW&Ejk7UG^T5
ztAUU_On2}0L3>lRd8i$Bc82VqQo>stK546$FMqxxq_!CG?IHyKrN}DD2Z!7U4f5il
zqP0!w=o9+|KUTD?^^_u~5*jr_Bsc#zzq6EwHJs35#P2szG)KOH?E8})%gbNyu1a*{
zw}oUxTo;PVR%HJpcIE@|`iZIUm+x<S5av}4^)RV-2Z#!j%C2R!`I7rb1-!uk0udY}
z6gktsmUCVAT>YO~In@`xHLYs}Wj24+8u1$JOOwdYS^kZF;LnjCG4Fp})_WoU8LJB=
zbNPsP2`h7xDl@54G(mZ*>fn=|C6$M{|HfC<lkI4n^sb$Q%9*-zsmhp<@Za!#%8U>1
zz29cvdmy9qe&HS8dnQdB|3>lGJA`g#=hgqN5se_ATXD|X;p6h`eSK>fb$mZ~Eyvx8
zg1L$6#hGLz+T~8rXa~a+OmAn<1H3`Bj4XN`uWP0tIgYlTEOhc+(OJN~u1#(mZclyW
z0~)UqCC-h5f1am+8<*$II>uh}=Y#t4G0rB_+Dpg~GM-PuT*ioqx%TR78W7-3IOlPO
z-)O!4$zbW;M@0oLy#FJN`fso{-yagu-qI37q-W#7(9`#uNJ9;2YH2C!J|XD%1uo``
z-Tt44d`;{TW*p6$hg;D_ySax)y4C0xLj_^(tg^plk>cI{4fq5aH5kMoO6%_Kj(MY=
zln@7c6A1ebqSh}34TArR0s9{!9q#Vha@;*PtV009S74Ur0>5?T4wam|e7S4e=qN)@
z^+{R9G05h6N4qQPU_7uY#$M0SEqCCuDxIPFu2q^}cjB_U>;;yKVTdTJb@A(krys8H
zXE#>uE)U{LOG~$X=3g`O?d8T_raXXFC8MBFV1K2b^ZIoH@INd6_8Hy&Y06t`$~y^Q
zgw@7oj6sOfA1a1neyw7Q80_CH;-#@SbMzvZ?VkO)`=^8Y7;0TtFCdC<bq@a+esrPf
z3&0?kQ&bp%<04t51uaCzV12yf{z!IK7Pf<+zFK?yEv>3z08Q)hS0Q)q&kC$6&z|Xn
zk*d9F!b{sdFhIc1U#!zx0mb>Xkamu<M!7@Q@lFh%Ikx3xX%;*D%}z}{d*jB9{k78*
zYplrwJ-uWh?elaa2yqU_CwtY6dt)9XE=QRj0YHkkOuG^@N2~7>4RG8>KxU|~udiur
zJO|cDG_>ym4K9S~&K+_uFE4OPJVBL<ciVlA)WDRS=X$V7%;)OnwozQ2!IQZS4+kh?
zp9R1WAy}*eEYTmx)nDJ<mH=C5e`##UZ6P%ZOR`YI_4d~%nwpz&Y+lApEiMLBAJ1^Z
z(CwX`&X%U|$=lZ#{|Db1AdHHt>LeD-0Qm3_r<KBfEOs<wv`dGtynOi*4qXq;@FEPc
zZ!A`H+z*Ulr>@?+SEXb>v@%xBSXEVJV`o=axi=aJfUEN??u0kdM@v(aP!<jSDEOft
zaZ+NUSp1#FhK9*s)VdNtmjD%5UvGMD?%M6!WN?nIr5(ic`*%)k?*NnDS2gpOwa1Yr
zR_6fE6`<?^jOX|E$8lpJG(o8laNfQS$dPN-%Wg4{E54eVmq!Z9WbNP&lZ{S~6LOG~
z>b-E!we@jwa=wM#++7<B0W$_cynTE~85nN%SK5~HJ1h@)0gKWBOh*el-UREhcj6U4
zKYs<d`U54e42$hnS7D}RVrRc_x}$sg4m>82oj=O^ScC6g@8b$cg~RR6`=@QAu*X-C
z$d4bJmhM^%)WGCJ8ze<VO%3KuUVc6r;+pQZ5kWW_J@EVY1CUn1aScU9aqD)Z%15D5
zj%%Zjl$4bEdV8N__CC$*y?ys?By8j?bm)cg@tS@em!Rt7O+t7aK~qyx7As{kBmY$v
zYX&B4soegx*qbS6`L{rE34G?SPrqW_qJMbN&)6wjTU%w(ySuxf&aujZaJybyjp35D
zZAP<z78$lQFf?R0R^=AA=mF1MfW)|xds9Fl8ia=>`?dS0$9Ldbmqs7ea2bi|hW*d>
z>gsP76>w^E;emiJX=$~3JbG)RmDp;5B!2mV2Vymr*g;YQ5h^S?nm`uK<FKs0JX}f+
z2}N_yRRC^NSbY3w5+h*bfq9S=Zk(bC@FI$p)f=^1xu@gw=FL^OE$}=AqsQ^9bW4a=
zZCA`re_R^FES7Qz2nm;RZ}ReP#~c+E;b07Mzy)=#WB>+39;>Ur2YLAF{rildzBjeE
zOM--l)QpYkj#_U_{(Ar6Lp_uw80>i54qqct-t!X^Uf@p&n!<EoYGzgoayZYMO(RZ?
z0s?Riumcxh$;P-3NsB$V2Wg}3T<@%zMjfQm+bCW4%b*f%mhq3dl7sMC3qGHag|I<A
z!SO+-N5i*gnKl5fF!iQ19>TaG;C}4nXAj^Keaq0-7+;SC_b|YMhi00ZQ&LhAeDpe)
zFCJ@XTmS(ZQX4^bS4RRtgcj5SdCLbR%)V^x!1;MoK~I>g9%yURqtR$FGAQ^2BqY*+
zB%7O?mq<yy2&r$@w6+pXOiX~`A-Zdt&5C67njJ`9MPQJ@gUY?&Fc^!?S@3N+RKM4N
zoXUCXvf0eGk>i0Ogq6hYzByb-zXeyZJXD<1V+f{r9T2DRu?yIf>r)~3nZZy;VP^(N
z@4au;SEO|3no^`gUN|`kxVgG!JpD>TPyZ-RQMyv6^JPz3cWY}Pbf^ztg9cD?%r7l*
zbW--`=qe#1uO=n@%7D;cJ2=dOCiqn~v(%`Wtf;WCTaSl_lk)>HF>$QGD`pG^Q))SM
z7kwIkt+?}(>}_^-xp;mDwQyAb_va6Tr0Pb>9m7$EhK6s3EQ_1%v$d@Hd+83E*%GFq
zhYimh&<Z<n_GfDk=?4#k8TuX)ByP3|5yEiXyg57D{uz=8*3=4Y{0T-~T=(GNoI|qd
z)`+O6ANl$Dt>mg|YHZwUDk@z@x5H3iFSJ~~^Wyb$CCFla{wNq%R&qzdq21q@f(945
zw5<wOYJPS$h>}%GI~G~rz6Agdr~cHN->L$}0kyOdW{|B&O{)p0Uf-QLlguZx-<|y!
z5uxAv?U~c;Clelc@B*lEI~>RDUmht?B}U<un$bkVe+YD#d(zO_ivB89zV(7frAo&_
z26M#k(gq!YDj^lX#KG9?bvmjfehClz^EmgEge{;l%$vW>8y-GGWF-|PvLEPq|38{(
BJI??B

diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld-members.html b/docs/manual/classbayesnet_1_1_t_a_n_ld-members.html
deleted file mode 100644
index 6b481dc..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n_ld-members.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Member List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_t_a_n_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet::TANLd Member List</div></div>
-</div><!--header-->
-<div class="contents">
-
-<p>This is the complete list of members for <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>, including all inherited members.</p>
-<table class="directory">
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>addNodes</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>buildDataset</b>(torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>buildModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>checkFitParameters</b>() (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>checkInput</b>(const torch::Tensor &amp;X, const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Classifier</b>(Network model) (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>className</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dataset</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>discretizers</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>dump_cpt</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>features</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fit</b>(torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>fit_local_discretization</b>(const torch::Tensor &amp;y) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>fitted</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getClassNumStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNotes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfEdges</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getNumberOfNodes</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getNumberOfStates</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getStatus</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>getValidHyperparameters</b>() (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>getVersion</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>graph</b>(const std::string &amp;name=&quot;TAN&quot;) const override (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>localDiscretizationProposal</b>(const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, Network &amp;model) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>m</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>metrics</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>model</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>n</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>notes</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>predict_proba</b>(torch::Tensor &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>predict_proba</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>prepareX</b>(torch::Tensor &amp;X) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Proposal</b>(torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_) (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>score</b>(torch::Tensor &amp;X, torch::Tensor &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>score</b>(std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>setHyperparameters</b>(const nlohmann::json &amp;hyperparameters) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>show</b>() const override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>states</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>status</b> (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>TAN</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>TANLd</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>topological_order</b>() override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>trainModel</b>(const torch::Tensor &amp;weights) override (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>validHyperparameters</b> (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>version</b>() (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">static</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>Xf</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>y</b> (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~BaseClassifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Classifier</b>()=default (defined in <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~Proposal</b>() (defined in <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~TAN</b>()=default (defined in <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-  <tr bgcolor="#f0f0f0" class="odd"><td class="entry"><b>~TANLd</b>()=default (defined in <a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a>)</td><td class="entry"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">bayesnet::TANLd</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
-</table></div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld.html b/docs/manual/classbayesnet_1_1_t_a_n_ld.html
deleted file mode 100644
index 2cbe980..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n_ld.html
+++ /dev/null
@@ -1,432 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: bayesnet::TANLd Class Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classbayesnet_1_1_t_a_n_ld.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="summary">
-<a href="#pub-methods">Public Member Functions</a> &#124;
-<a href="#pub-static-methods">Static Public Member Functions</a> &#124;
-<a href="classbayesnet_1_1_t_a_n_ld-members.html">List of all members</a>  </div>
-  <div class="headertitle"><div class="title">bayesnet::TANLd Class Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Inheritance diagram for bayesnet::TANLd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_t_a_n_ld__inherit__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_ld_inherit__map" alt="Inheritance graph"/></div>
-<map name="abayesnet_1_1_t_a_n_ld_inherit__map" id="abayesnet_1_1_t_a_n_ld_inherit__map">
-<area shape="rect" title=" " alt="" coords="100,226,222,252"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="35,153,143,178"/>
-<area shape="poly" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
-<area shape="poly" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<div class="dynheader">
-Collaboration diagram for bayesnet::TANLd:</div>
-<div class="dyncontent">
-<div class="center"><img src="classbayesnet_1_1_t_a_n_ld__coll__graph.png" border="0" usemap="#abayesnet_1_1_t_a_n_ld_coll__map" alt="Collaboration graph"/></div>
-<map name="abayesnet_1_1_t_a_n_ld_coll__map" id="abayesnet_1_1_t_a_n_ld_coll__map">
-<area shape="rect" title=" " alt="" coords="187,241,309,267"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="122,168,230,193"/>
-<area shape="poly" title=" " alt="" coords="200,202,237,239,234,243,197,206"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
-<area shape="poly" title=" " alt="" coords="300,206,262,243,258,239,296,202"/>
-</map>
-<center><span class="legend">[<a target="top" href="graph_legend.html">legend</a>]</span></center></div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
-Public Member Functions</h2></td></tr>
-<tr class="memitem:ac1dfa12b4bb1e92584bc3003bbdc466d" id="r_ac1dfa12b4bb1e92584bc3003bbdc466d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ac1dfa12b4bb1e92584bc3003bbdc466d">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:ac1dfa12b4bb1e92584bc3003bbdc466d"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab15adb287cf64b291c8b574edde6dfc6" id="r_ab15adb287cf64b291c8b574edde6dfc6"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ab15adb287cf64b291c8b574edde6dfc6">graph</a> (const std::string &amp;name=&quot;TAN&quot;) const override</td></tr>
-<tr class="separator:ab15adb287cf64b291c8b574edde6dfc6"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ade52d7a07780eb83b8f130adfe218bcd" id="r_ade52d7a07780eb83b8f130adfe218bcd"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#ade52d7a07780eb83b8f130adfe218bcd">predict</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:ade52d7a07780eb83b8f130adfe218bcd"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a78801dffd989a4b88b6c9ac369778407"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a78801dffd989a4b88b6c9ac369778407">Classifier</a> (<a class="el" href="classbayesnet_1_1_network.html">Network</a> model)</td></tr>
-<tr class="separator:a78801dffd989a4b88b6c9ac369778407 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4b05f68bcf29f29a57a3bd7b9db006b8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4b05f68bcf29f29a57a3bd7b9db006b8">fit</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a4b05f68bcf29f29a57a3bd7b9db006b8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a80b9b8b8ba6eac55e5ed7f4ac92bdf94"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80b9b8b8ba6eac55e5ed7f4ac92bdf94">fit</a> (torch::Tensor &amp;X, torch::Tensor &amp;y, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a80b9b8b8ba6eac55e5ed7f4ac92bdf94 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a03d8bfae1f53370a2736ab2720e06966"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a03d8bfae1f53370a2736ab2720e06966">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states) override</td></tr>
-<tr class="separator:a03d8bfae1f53370a2736ab2720e06966 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ada042f438f2925dfbc8505190ac65134"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ada042f438f2925dfbc8505190ac65134">fit</a> (torch::Tensor &amp;dataset, const std::vector&lt; std::string &gt; &amp;features, const std::string &amp;className, std::map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:ada042f438f2925dfbc8505190ac65134 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a1d9ea38b8c9555fdbb83218046426a01"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1d9ea38b8c9555fdbb83218046426a01">addNodes</a> ()</td></tr>
-<tr class="separator:a1d9ea38b8c9555fdbb83218046426a01 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a993c490b634676fedafd618dd3926ba1"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a993c490b634676fedafd618dd3926ba1">getNumberOfNodes</a> () const override</td></tr>
-<tr class="separator:a993c490b634676fedafd618dd3926ba1 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier" id="r_aed20da20e72a8cd5c2fae7a14565260a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aed20da20e72a8cd5c2fae7a14565260a">getNumberOfEdges</a> () const override</td></tr>
-<tr class="separator:aed20da20e72a8cd5c2fae7a14565260a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5b81939ecce9783eefd02ed7e6a6ce9"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5b81939ecce9783eefd02ed7e6a6ce9">getNumberOfStates</a> () const override</td></tr>
-<tr class="separator:ad5b81939ecce9783eefd02ed7e6a6ce9 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a10b3dbdf42e1d42deb6e320911d95241"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a10b3dbdf42e1d42deb6e320911d95241">getClassNumStates</a> () const override</td></tr>
-<tr class="separator:a10b3dbdf42e1d42deb6e320911d95241 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier" id="r_a5caf1bef3986ab4dfca40260c822b4cf"><td class="memItemLeft" align="right" valign="top">std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5caf1bef3986ab4dfca40260c822b4cf">predict</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:a5caf1bef3986ab4dfca40260c822b4cf inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a4df367430eca598146b7b8531ba29358"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a4df367430eca598146b7b8531ba29358">predict_proba</a> (torch::Tensor &amp;X) override</td></tr>
-<tr class="separator:a4df367430eca598146b7b8531ba29358 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier" id="r_aa0d6033ba3ba5ded5247a15ef8416d85"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::vector&lt; double &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aa0d6033ba3ba5ded5247a15ef8416d85">predict_proba</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X) override</td></tr>
-<tr class="separator:aa0d6033ba3ba5ded5247a15ef8416d85 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier" id="r_a469fcb6f35fc1418861a0d39f7760def"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a469fcb6f35fc1418861a0d39f7760def">getStatus</a> () const override</td></tr>
-<tr class="separator:a469fcb6f35fc1418861a0d39f7760def inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d1d2b50b214a035dfc29519a98cb823"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d1d2b50b214a035dfc29519a98cb823">getVersion</a> () override</td></tr>
-<tr class="separator:a3d1d2b50b214a035dfc29519a98cb823 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier" id="r_ae2a54c7b255663cf88c400daea9a66be"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ae2a54c7b255663cf88c400daea9a66be">score</a> (torch::Tensor &amp;X, torch::Tensor &amp;y) override</td></tr>
-<tr class="separator:ae2a54c7b255663cf88c400daea9a66be inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6c85b2fb9ce702d6b55c588b08ffa31a"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6c85b2fb9ce702d6b55c588b08ffa31a">score</a> (std::vector&lt; std::vector&lt; int &gt; &gt; &amp;X, std::vector&lt; int &gt; &amp;y) override</td></tr>
-<tr class="separator:a6c85b2fb9ce702d6b55c588b08ffa31a inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a35fdde36bf85a67827a17a076c7334b4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a35fdde36bf85a67827a17a076c7334b4">show</a> () const override</td></tr>
-<tr class="separator:a35fdde36bf85a67827a17a076c7334b4 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a3d520dfbe0f189f2a2fa73fcb11fc533"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3d520dfbe0f189f2a2fa73fcb11fc533">topological_order</a> () override</td></tr>
-<tr class="separator:a3d520dfbe0f189f2a2fa73fcb11fc533 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier" id="r_ad5190e5b210953162d334c71eff43acd"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ad5190e5b210953162d334c71eff43acd">getNotes</a> () const override</td></tr>
-<tr class="separator:ad5190e5b210953162d334c71eff43acd inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier" id="r_a6bb02467321b4e51b066daeeb29a88e8"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a6bb02467321b4e51b066daeeb29a88e8">dump_cpt</a> () const override</td></tr>
-<tr class="separator:a6bb02467321b4e51b066daeeb29a88e8 inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier" id="r_a363db4d3edc674f6c65446f99cb9fa2e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a363db4d3edc674f6c65446f99cb9fa2e">setHyperparameters</a> (const nlohmann::json &amp;hyperparameters) override</td></tr>
-<tr class="separator:a363db4d3edc674f6c65446f99cb9fa2e inherit pub_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier" id="r_ac4e33e5450cbd7ffe7b8ba5608106722"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ac4e33e5450cbd7ffe7b8ba5608106722">getValidHyperparameters</a> ()</td></tr>
-<tr class="separator:ac4e33e5450cbd7ffe7b8ba5608106722 inherit pub_methods_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pub_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pub_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal" id="r_a74cb430a04f97fae86e675618a011275"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a74cb430a04f97fae86e675618a011275">Proposal</a> (torch::Tensor &amp;pDataset, std::vector&lt; std::string &gt; &amp;features_, std::string &amp;className_)</td></tr>
-<tr class="separator:a74cb430a04f97fae86e675618a011275 inherit pub_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-static-methods" name="pub-static-methods"></a>
-Static Public Member Functions</h2></td></tr>
-<tr class="memitem:a58d8f587e24ddda44978f17a5adfff50" id="r_a58d8f587e24ddda44978f17a5adfff50"><td class="memItemLeft" align="right" valign="top">static std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="#a58d8f587e24ddda44978f17a5adfff50">version</a> ()</td></tr>
-<tr class="separator:a58d8f587e24ddda44978f17a5adfff50"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="inherited" name="inherited"></a>
-Additional Inherited Members</h2></td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_t_a_n"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_t_a_n')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a></td></tr>
-<tr class="memitem:a0296c5af907bfbc5a0c8309aca7a2a48 inherit pro_methods_classbayesnet_1_1_t_a_n" id="r_a0296c5af907bfbc5a0c8309aca7a2a48"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_t_a_n.html#a0296c5af907bfbc5a0c8309aca7a2a48">buildModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a0296c5af907bfbc5a0c8309aca7a2a48 inherit pro_methods_classbayesnet_1_1_t_a_n"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier" id="r_a11d1d74615d8c844210dd0f9af7bba1c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a11d1d74615d8c844210dd0f9af7bba1c">checkFitParameters</a> ()</td></tr>
-<tr class="separator:a11d1d74615d8c844210dd0f9af7bba1c inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier" id="r_a225466de262d98d5c12e176bb1e51823"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a225466de262d98d5c12e176bb1e51823">trainModel</a> (const torch::Tensor &amp;weights) override</td></tr>
-<tr class="separator:a225466de262d98d5c12e176bb1e51823 inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier" id="r_a3247e1fdc38db1b22592a15e74c5c29f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a3247e1fdc38db1b22592a15e74c5c29f">buildDataset</a> (torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a3247e1fdc38db1b22592a15e74c5c29f inherit pro_methods_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_methods_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_methods_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a4bb3ff09d7f6191775057193750fc2a2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a4bb3ff09d7f6191775057193750fc2a2">checkInput</a> (const torch::Tensor &amp;X, const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a4bb3ff09d7f6191775057193750fc2a2 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal" id="r_ac12374f86c22798e152da4abe094cb1e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#ac12374f86c22798e152da4abe094cb1e">prepareX</a> (torch::Tensor &amp;X)</td></tr>
-<tr class="separator:ac12374f86c22798e152da4abe094cb1e inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a6088404577834de890622fc1a2a8ffb6"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a6088404577834de890622fc1a2a8ffb6">localDiscretizationProposal</a> (const map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;states, <a class="el" href="classbayesnet_1_1_network.html">Network</a> &amp;model)</td></tr>
-<tr class="separator:a6088404577834de890622fc1a2a8ffb6 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal" id="r_a26024ec85783a790ac46667d735e1941"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a26024ec85783a790ac46667d735e1941">fit_local_discretization</a> (const torch::Tensor &amp;y)</td></tr>
-<tr class="separator:a26024ec85783a790ac46667d735e1941 inherit pro_methods_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a></td></tr>
-<tr class="memitem:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aea401da2c395732dcde94e565b53a485"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aea401da2c395732dcde94e565b53a485">fitted</a></td></tr>
-<tr class="separator:aea401da2c395732dcde94e565b53a485 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a0604b45141b3d8b541ca8aac03293232"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a0604b45141b3d8b541ca8aac03293232">m</a></td></tr>
-<tr class="separator:a0604b45141b3d8b541ca8aac03293232 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_ab34ab485d73d3f76e63bd7e8ecbddee9"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#ab34ab485d73d3f76e63bd7e8ecbddee9">n</a></td></tr>
-<tr class="separator:ab34ab485d73d3f76e63bd7e8ecbddee9 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_aba373ae6dd67262e3d8cc8c113544897"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classbayesnet_1_1_network.html">Network</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#aba373ae6dd67262e3d8cc8c113544897">model</a></td></tr>
-<tr class="separator:aba373ae6dd67262e3d8cc8c113544897 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a80fde71d6dea24fd2d23a11aa5fb0d84"><td class="memItemLeft" align="right" valign="top">Metrics&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a80fde71d6dea24fd2d23a11aa5fb0d84">metrics</a></td></tr>
-<tr class="separator:a80fde71d6dea24fd2d23a11aa5fb0d84 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_abbff645d99c607cae1a4a843381b8db1"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#abbff645d99c607cae1a4a843381b8db1">features</a></td></tr>
-<tr class="separator:abbff645d99c607cae1a4a843381b8db1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a9800be045e73f73ef3bef7c9cdc80bb1"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a9800be045e73f73ef3bef7c9cdc80bb1">className</a></td></tr>
-<tr class="separator:a9800be045e73f73ef3bef7c9cdc80bb1 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a725b62e1d3e4a856265613820efff77f"><td class="memItemLeft" align="right" valign="top">std::map&lt; std::string, std::vector&lt; int &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a725b62e1d3e4a856265613820efff77f">states</a></td></tr>
-<tr class="separator:a725b62e1d3e4a856265613820efff77f inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a5d9c9d1bd115ead98bb0ddaf2df5d9a6"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a5d9c9d1bd115ead98bb0ddaf2df5d9a6">dataset</a></td></tr>
-<tr class="separator:a5d9c9d1bd115ead98bb0ddaf2df5d9a6 inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a1fdceba49bf2398b6a4959ddadea177b"><td class="memItemLeft" align="right" valign="top">status_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a1fdceba49bf2398b6a4959ddadea177b">status</a> = NORMAL</td></tr>
-<tr class="separator:a1fdceba49bf2398b6a4959ddadea177b inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier" id="r_a8ae8101963f78aefb61093ae66ba1c7d"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_classifier.html#a8ae8101963f78aefb61093ae66ba1c7d">notes</a></td></tr>
-<tr class="separator:a8ae8101963f78aefb61093ae66ba1c7d inherit pro_attribs_classbayesnet_1_1_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_base_classifier"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_base_classifier')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_base_classifier.html">bayesnet::BaseClassifier</a></td></tr>
-<tr class="memitem:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier" id="r_ae2d94700f470b5f4a623965b1c442c6a"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::string &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_base_classifier.html#ae2d94700f470b5f4a623965b1c442c6a">validHyperparameters</a></td></tr>
-<tr class="separator:ae2d94700f470b5f4a623965b1c442c6a inherit pro_attribs_classbayesnet_1_1_base_classifier"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="inherit_header pro_attribs_classbayesnet_1_1_proposal"><td colspan="2" onclick="javascript:dynsection.toggleInherit('pro_attribs_classbayesnet_1_1_proposal')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classbayesnet_1_1_proposal.html">bayesnet::Proposal</a></td></tr>
-<tr class="memitem:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a3645c54c51f9445a66a1ce980be4694e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a3645c54c51f9445a66a1ce980be4694e">Xf</a></td></tr>
-<tr class="separator:a3645c54c51f9445a66a1ce980be4694e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal" id="r_a420c1832930cac9d5d5ee9fdc847042e"><td class="memItemLeft" align="right" valign="top">torch::Tensor&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#a420c1832930cac9d5d5ee9fdc847042e">y</a></td></tr>
-<tr class="separator:a420c1832930cac9d5d5ee9fdc847042e inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal" id="r_abfedb22d5ee155cb593bfbfb01cfc773"><td class="memItemLeft" align="right" valign="top">map&lt; std::string, mdlp::CPPFImdlp * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbayesnet_1_1_proposal.html#abfedb22d5ee155cb593bfbfb01cfc773">discretizers</a></td></tr>
-<tr class="separator:abfedb22d5ee155cb593bfbfb01cfc773 inherit pro_attribs_classbayesnet_1_1_proposal"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
-<div class="textblock">
-<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8h_source.html#l00013">13</a> of file <a class="el" href="_t_a_n_ld_8h_source.html">TANLd.h</a>.</p>
-</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
-<a id="aa509b11435529fc5f38df0e9af8fe860" name="aa509b11435529fc5f38df0e9af8fe860"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#aa509b11435529fc5f38df0e9af8fe860">&#9670;&#160;</a></span>TANLd()</h2>
-
-<div class="memitem">
-<div class="memproto">
-      <table class="memname">
-        <tr>
-          <td class="memname">bayesnet::TANLd::TANLd </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00010">10</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
-
-</div>
-</div>
-<h2 class="groupheader">Member Function Documentation</h2>
-<a id="ac1dfa12b4bb1e92584bc3003bbdc466d" name="ac1dfa12b4bb1e92584bc3003bbdc466d"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ac1dfa12b4bb1e92584bc3003bbdc466d">&#9670;&#160;</a></span>fit()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> &amp; bayesnet::TANLd::fit </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>y</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::vector&lt; std::string &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>features</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>className</em></span>, </td>
-        </tr>
-        <tr>
-          <td class="paramkey"></td>
-          <td></td>
-          <td class="paramtype">map&lt; std::string, std::vector&lt; int &gt; &gt; &amp;</td>          <td class="paramname"><span class="paramname"><em>states</em></span>&#160;)</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00011">11</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
-
-</div>
-</div>
-<a id="ab15adb287cf64b291c8b574edde6dfc6" name="ab15adb287cf64b291c8b574edde6dfc6"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ab15adb287cf64b291c8b574edde6dfc6">&#9670;&#160;</a></span>graph()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">std::vector&lt; std::string &gt; bayesnet::TANLd::graph </td>
-          <td>(</td>
-          <td class="paramtype">const std::string &amp;</td>          <td class="paramname"><span class="paramname"><em>name</em></span><span class="paramdefsep"> = </span><span class="paramdefval">&quot;TAN&quot;</span></td><td>)</td>
-          <td> const</td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_t_a_n.html">bayesnet::TAN</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00032">32</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
-
-</div>
-</div>
-<a id="ade52d7a07780eb83b8f130adfe218bcd" name="ade52d7a07780eb83b8f130adfe218bcd"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#ade52d7a07780eb83b8f130adfe218bcd">&#9670;&#160;</a></span>predict()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">torch::Tensor bayesnet::TANLd::predict </td>
-          <td>(</td>
-          <td class="paramtype">torch::Tensor &amp;</td>          <td class="paramname"><span class="paramname"><em>X</em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p>Reimplemented from <a class="el" href="classbayesnet_1_1_classifier.html">bayesnet::Classifier</a>.</p>
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8cc_source.html#l00027">27</a> of file <a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a>.</p>
-
-</div>
-</div>
-<a id="a58d8f587e24ddda44978f17a5adfff50" name="a58d8f587e24ddda44978f17a5adfff50"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a58d8f587e24ddda44978f17a5adfff50">&#9670;&#160;</a></span>version()</h2>
-
-<div class="memitem">
-<div class="memproto">
-<table class="mlabels">
-  <tr>
-  <td class="mlabels-left">
-      <table class="memname">
-        <tr>
-          <td class="memname">static std::string bayesnet::TANLd::version </td>
-          <td>(</td>
-          <td class="paramname"><span class="paramname"><em></em></span></td><td>)</td>
-          <td></td>
-        </tr>
-      </table>
-  </td>
-  <td class="mlabels-right">
-<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">static</span></span>  </td>
-  </tr>
-</table>
-</div><div class="memdoc">
-
-<p class="definition">Definition at line <a class="el" href="_t_a_n_ld_8h_source.html#l00021">21</a> of file <a class="el" href="_t_a_n_ld_8h_source.html">TANLd.h</a>.</p>
-
-</div>
-</div>
-<hr/>The documentation for this class was generated from the following files:<ul>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_ld_8h_source.html">TANLd.h</a></li>
-<li>/Users/rmontanana/Code/BayesNet/bayesnet/classifiers/<a class="el" href="_t_a_n_ld_8cc_source.html">TANLd.cc</a></li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><b>bayesnet</b></li><li class="navelem"><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map
deleted file mode 100644
index 4d2ffb3..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.map
+++ /dev/null
@@ -1,13 +0,0 @@
-<map id="bayesnet::TANLd" name="bayesnet::TANLd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="187,241,309,267"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="122,168,230,193"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="200,202,237,239,234,243,197,206"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="107,94,244,120"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="178,135,178,167,173,167,173,135"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="113,40,166,92,162,96,110,44"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="197,5,328,31"/>
-<area shape="poly" id="edge4_Node000003_Node000005" title=" " alt="" coords="242,44,189,96,186,92,238,40"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="254,168,388,193"/>
-<area shape="poly" id="edge5_Node000001_Node000006" title=" " alt="" coords="300,206,262,243,258,239,296,202"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5
deleted file mode 100644
index 3e810b3..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-52efa3ac9345f1a4c851d818a575585f
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.png b/docs/manual/classbayesnet_1_1_t_a_n_ld__coll__graph.png
deleted file mode 100644
index 86f237556c2b514fa9a367d17c2c863273fe08b2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16530
zcmdVCby$^Ow=Vnu(h|~&ASI1-NlGInNJ~qJAR*mKgMhS@AV?@km(rm~gMxGl(j6io
zoUwlUefQbt?DJjc`o8}@d$H!jnsdxC#~kCn?_tC}bwvWaYj_BP5GX6jX(0$&1pFq(
z!Gf>ISA`3~Usx6@igL&W>SuOiK>~u%A<A-hv^_I6r+xIv4$rZ7etQ^5%iWXvTu()w
z-_`ZNvmw}Wrc8iKH0_55=7*T1G!~91zM}8)>$X-beJZKR?-c9bsjxr3Yt7)Pd|ySG
zxB<aK?{@H*X_k7S7Hlm2Y<|y6B6i?s?}qQPMEi!X`!BIdd>r~<VwwN>hqk2KCQjw}
zRGKBXL>rDK#oc$tt*x!fNki`1+S;~ORUCHAL9I^jO`H9tRx@QazC2cZxsjK6q7};{
zlZe?Bfau@9>d@1~U83MZ6R7FEJb1sHL9-A>>rlytSBy9L`Q&luKJ1LK{ZVX?$E~RC
z7)EqM!Orge46m!rpjaTWO!%5gBx*wSZ<SzDW&fuaPwJF1M4Zw2ZTgGDIR!)WAH5QC
zFpLW*Z91__ntF|kEDvOLMsYWV)60g^v9jXa&sV)8BlFzh<Z~1yufv4E;^Lxq_ult!
z-*`|jmX^>E_1EGN;o&&N#`P5S9@}5e{_JyDeH>9Up8Abu_T|OZ<CWal$molODDIu5
zl#!pj36(YjKf0RLtm@_&oR2mPiuKEL7%EoY-!D+-N$<1r{*eDjzswA+KT9eWi{M&I
zUmpQB5v`n)lT(D_>qyt*9dp;!Z<u248!ct#?L01vN@pkQr7OelNC|1hageY5{a>DA
z;@e~IMkc4EgpG~q+ooY5I7CE>s;ZZtG#=`{&C8o#8Olwnm|DxfwRMW@%=m1ZcPFwP
z|5?t8dU0`nx?S$J{^PEJwU=?76B<6{t>UVq^?1C-sl?ROh$u?#WRXo+Af3UM5I-NE
zJ$7!<qqI<1&_w2dT{QzEV{Wg52|V}b&!44k3JQwQQ4=2m$A(?3A0@_7ag2%<;}uq)
zO>7*eRUU-JyPWT5UC5=}GA{Ewbr(NB{`u;*8+)%c|0lQg(1I-g3G<otF3oRMx*rV9
zm-{oFo<7Aum~P%QZwtmfo}4`o_1SK$?T~r2y^Vu>{P^)}U!U8n#!p3$PyIV%Xm-Ko
zZ5HK;Clir|*7Wg8N=juu`5Ecy4<6lkxt4>+MnVyVIX^$Yv%C8&C52KU=6b}&hCL!}
zX~}fkbp;6s2sl1I9wW5ORfukTtDF#7HIyTdf3_WPfq`^<{ycv)>8RL~%r(Ec84deB
zN$t>|A!<9@Bysll@6dZ44mm|dj5?Q-?bX!?BFSS!EnO(2wpRG$Xfvv}S2fIG#<`P5
z#AEAvDAA1=4aq;35FU>$ql4|)+2rks`FJuivbp^9Clv&f4?Gmt=UA8L+r!Eqb`ti!
zmY~Lx9g>>vPU7Hw_~ix3Q)5R$pYLEbA_2Q$obmB-96Y?X-JhMjkG?TAoNm=0Z&VKO
zn6(6IjV>LmelOH3rA_8GjR9lojOTrd)Ybd_SI^XsoQ;i*kee&nEj0+6=t~cG^JS#Y
z_Ya@AxH!+_ADj=w944w-W2Me<kg+;vMqgiFVk)X|h3ISMYs2r#3_pB6DtPtk6@vi-
z1H<6E`z%Z>EGbI^?AIeABk=^&`#6hMR&3GDJUvC=uu##^sF|9YD#*#bWU6=H>>er7
zyZ>E)nT6$hdwWoMdAU)gH37Boliss4-*`*d1_=p?)P#ig;$qGk+o9*&jRz#$#-BQZ
zgD=%M&c2SK;97u{t}ZQoe(~b+ujS?aKH*u*Qj<od_|DiHEJ$c*D4&>EIxjEp!S3$7
zO_txUGPQX7nFdic<^+dERc6xVzI43>r#pAh(402L$}<EXQ)Kxa84%u(%#f6n6!+Z8
zcA)iH-?F8-zGPJUgoXes$RT|^Au&-7QPt3B-nwoz-fv)Fz@!X*;(s`z$JBLGCArLI
z;B{V!iusqBMxXDNe7r0y1*)g%<M!58{<vA=_P;(pUG7fIgA>Q}NZ{Hdq4baLn}(n2
z>-QJC5}3MRG5q4<4a3cUt9yJ;H*3dh9ZlmGe|&gg(CqJrg@qN*6!2$>Qpj#N91{~$
z_3quA^mOXxzef+^EnQsrCTkrBF!3qKCbJe67WCnP_{FCK5}gkm8<Uikm90+dDZr<R
z`>gjTx+g~Mir2YFc6WDcoChRNIeiXR?i7u5=PJf(eHVBw<`H9EnW~m1F#les=v6|3
ztcHfhWDFnpllm*3XG|YmmhO7{`0z_eWP-Q#_V@oPHmDS_9i%&lpyBH5JU{jEsn^ND
zBfGROQ&UFq0gak?9)|JPc`YuPdd_2pIhfRcPtGq>5<eJ}^*#Ty{AcRvz;2u(t$C$&
z-|_H$jkve%ZXQ*HF)k&B)sctmqc(T$JZtyWql{SZ(@fqpGK_Pox)pNOV`EG+-@&Bt
zHbumzs_ldTa@_dqLiSYKjlWIe<)h@hlD$?2=|6q?#K*!CcIC>I4Bm%W#>U2}si|Fm
z_Lunu1QMA<9cRQ(PEIJg_`t)D)<;Xn&QU@2N2zJnfcXAp32|}HlY>>hQd4?15<Ts&
zOZmxM4|4oYk80)v1Ch7+`E6!AbL*wep{1qV=olEh0q4FVqM~TX+DK6t_6=X+^&cOC
zK3lYg5>WFznG!*yeSO6%Dl3ORKDBXO8APMG?b;Ga&XJwi1|IuDL+UTt;~&L$igZ5^
z6B7qQpdjyhdYDoP;f!8NYSuh`^zpa1%E!N(FQSEKJTbETPuOyDbIYCPW#FiZ8T}I<
z3YwdxZkaZ{$ns}D@B0i+L2cr*S#2@eR4S}!Q1kRrcSWBV#FrAGqV!LnwkZwkoap_J
z=dmaADrA-ntP9jL=YIYS$_hBY3U1W-_xEh9*j63J(9qCWjRUoej0|G*G3pi%PubUo
zrluy5r@vk}9IyRd-CODzYw+Sv)JmFAHklm%OEI>mq^x`g4pc^FCK_`3ds}g`#^DMj
zWf;WAj*bpGIywZITVA$Fcbuwo#vvg1j6o!h2n!2O3J(Z9{&6{)T3ErtBFCZNuCj7#
zo=S?-uimQ=w6MW3;dW=I;4%#Er1iNBF{-B8=kV~PEhs-%h~w@&wSc4~E!+*2^;<DN
zS~dHv`_fw5+cDCG9Asvj{GvF0&d>h9#lUsM?0O*Vl*kD8)9|KI@}}naq>-bW->l>G
zCqa{dzi#4(!}nLlD_O1yKk+s0xr~c@2SN}b&Fx^Z?FQ1{Q%{L%9413E#XKy!;%_2>
z%xY<7@S*a*IHqQ9Iy*bJ_GgOij@x9Rq9T=u6J46XBbWAdqfu@BPB(MxAI~tb%l!X(
zzo3=4hKq~4v$yvgwhS?A4<!hXjji2m0JEW@vvu#QXAtNo+;`vs1_=oo@CtNgCT3;^
zCZ<b8dZh~X_MG5Vp>QQ<Kl+}JgNs}4Guk_Hy&4zk@9(csmqf-IeT18i7x3%bk(X&{
zk&BC#;3f~h=c`c(+L5IRJH|k0`nT8A*Ne^gpE~#+&xb+Ckif&kdzqCLyVR5NaP?ar
zDj_OAY?`?~TA$fd+4ndIJjc`lk_20@SJTN_(YlGXk`j*O$qJ+E_6*IfTentbo28OD
z4W2)E^6~T0{Nt6uH^)mUraPOpv*>j$VZ&ddsd>E*R!E*+jaES2R;Zi`ZUG**wPCH=
zB-Wty)dbto5*k?<nU$YEWrJE<zz}>=Qdtn~F5}@@z!Fy1*L&dFbJ|<%vLDI``9S*U
zS8wX27DxrjA9;+t*Kzgmuz_t~+1Ths1ygSBSc<5SMxWpLQBnAil&MQeN!>DOc(rIc
zYK33=J$~^O@5AF>{s9sD1f~LwEOl_j5~Gjti%E|&Yp31QKV%k#;h!><oR7X$CMCSe
z7u<YtUcV`L^h1K4zIE$%Vlv!a{i*z6Po6x1!1t!8h$CI_@fXOO#(y<`(pd0*nrJ1K
z@`GjG*0^NTh`VU*2aD$Dkza*vmfRZ*Y{EfXfr%5Q?)qNHIUrQ+&0d@fEAt5pr@*)K
z{j-!3#c8uO^-<tj^uhjqZb1Rd4Zj1;2L(qXr}xd_8@zf&bz4-_`RAADymMoG<*Z<u
zB`y*@mAiM@cL|O<Zv>EuQo**v1mhP^x0?s%=H^HyIT}=c4!^rE|K)Mo7e>VxCpa86
z?%mxc=}ZpTBaxP<bPQWjR2daCu?erwMUb*|R}qx3bVl1R?-i?fX%{d!3y%LTdXl=j
zx;j;9Lj)H(J424K7Sl#u9D^n;>Z{d{DIGs9QTW4EoYW+)DW*LNZ&YlLUe;nN8QjD_
zCm|)>g(yEC!ScGr@Aq_p-evmt85^fL%<o>-r<W*7OG}p*FoYE1Th3AnM)>N~{kI%`
z<4F0sq;DPjQyfhPNCW8w1$DNmWNh@LHuO@+IY_XA=E=I;_Lzq>Dt>g-=iRN(ChNXn
zyyO<xY9^u+(N|jJfE_lKp#Hjlrq_9I5bvO0>-$U2bNNSZz0m>fDTPj?Y8hB_nt40<
z3Br=5Q^sBC4-zMHp7>ypk8s}e(wG^oj-Bz6>tmA7xt4auwf-Q}8Bh8lYldz|Gq<(H
z_{2ROQ7J<%yQJ9qFEa#r3`$2Bh}B@I`ov_eujxETN7h><?fd4;lK69K#DQqK#FS_a
znML!>MKao(pJ*ALP~ACnPVxKA_BjQ|6~h*dK>gmCm6p+{7+IpxC$drbNIAhn4Swpy
zC3;-x_BLm{GU+$c7?M9YJ%1*=={_f-iMnkrWNSMk_@ofcGt<ll(+YF$5`veVFS0i@
zwq=_1?FF&Ba$MmTW`#W~j9rG(##ZS!NU%bP{H0%9H{P;WGU{o|KE6%k{&6K<I1S68
zCTDL1hh1ke*`1&z;=8l4SZ^r%tVaXBGdUZ{$k-y6eW5{|T=uif6f#y!Otb3z`D!cK
z;qv#rEbnI`12MKf_G8W?uUT~NyDdo=o%yNev3(9>{_J*I(JdQkC{LST^o4@x9;_c5
z)5k+tG=V4nI85tUu(xC6r*MUrjy0K1P`2Te!}h+Hf(l=thxAfzNkf1NC$YBp_~3TO
zCw3xsI~tfrhEBUL@eeJNUzag48D@pC*mOu#wb?M`<=tMGVdP!C-t0(jmhFAh)xq}B
zX*6+OJcDK*7m?;WMAFqs2#r-At+=PREqJ_g>Ex+{AX~|#HzxUAd9~K9pk$_38B;q8
z%R1N8hYhuu?2sbzr+4bHF^kZJs+?P8AIm2Bx)d+LdL9tH4|tiKY5W||)9vWUOhw0r
zv^s$-;@Vuon>Eg7vCndBNE`MZeOt3^eNY*cbe(K1+*_B0G&{!Vqs<%JJi3?PSW9OL
zPMAom<KUs^c#eO)SiUEjx4jQ6MYAs#F;{sN;ju=gp&chbee`2M(6H&51^>N1q_z2$
z#1P)x;b42_o*Mz19c+nU$KIW_L@eL;WSmGb0<-*Fcyf)Fj+lT>3r~KthG8zSKIeq6
zWm9`Y%FA@r<I!CE+mrpbT6y)J*0+Yl3JQ(iDh<;qaLf$iV1|@V{AhnQ-rBwAAKu;5
z-GM>pj(+Sf!-R3z&&K{Ao2&j~8*$~MsydJT;(mdN&_-{bi;~@-C%8sFn^7hqqPJX_
zlME3dh?7v0g^cG-G`@oAG<La=_L7bD{2fG!D*Wq?+Qz$ws+z6#m@?(Lt=We}vy(pu
zN4~Rkx;?-Q5}NqX@`tgJFLFZVbzO<P!iP6e1uQ?1l>&jwCL}rT>zT?^bs-W*0v<I~
z&DnQ+&cMGF5BnL{DA-7<d$U3oR1gdS0@;+X!W#$uOu>a8VQn&clz8$}^_JliB_7Q5
z|D53Dw1$-a2`^t|i)=DH`i{f+m~}%tXAd2xT?U0K$Dw$$Y686a+p03*X^N3@Ts1=4
z29<ofJb|U;JI0<&+dsq-%C_74u^W?r^N)TP3nSJ`V9@OOK%n!ZS5-VGoPen*Nk&tG
z>(6P)7lq~LACjX8W=F-M{uzZ`45Ok9j-^<OS#}-9tdB;;5{`SqGKsu-2Lwr^Nm+6a
z2^#ltoCVoP+&U)iS@ku9@7~iV3UOpk^NgKI?MOnO-!R&dcxJ7@!sTh98td7}kLxV>
zvHo4m)#_07*RS<U$Y?L|_;%4%%Wtc?ja1xnR^y6%fF__#@o?vDP{64yEXqhFQjSKz
zjv(`zx5d?G0aRqPXPz%l)M0#I7N!L?GVq?07*fF-xryEQczA}6+ky{j>>t?*Tr+ic
zbMtG`D>V_-iBr)wb@}*?(2)9lF(p6ml@7aTeM*Y1(}RBPQGN1Gj6z4(ilYw;{Na*s
ze{LV~QC%iT)VjaFw`Wwuo><rfo1zH^sk(3A70w*K(wjn;d1vG0t48}<8B|Y~*%V9p
z)BC;{*SmitCv=>s>JsGR`}TKYG)@~b%Eumuk4tMjwr5TVlZV3JUdNY<Sai8>toVLM
z$ydpYAwsh!w9xS&Mtjs@vZimKt80}f5C`E$t4r|JV6(#Hp$UxAT5E=UO9Ne6TYLCk
zP;1%sK&%%07DXt7HNrwe4RdpHLa8r@#v+~=;g~P+=4_k&|5|U2mFE`aKjJ{9F41YQ
z9kv>KOdo0ioTUOa9#gyt;9FO9nla_v7_w;BZs*lm5})Imz0=aCezM@y$cT#sas>7>
zIo`i3k)P;IA#DRcOc7ZnNpqp}bo<Gg4@s?N`YJ9K@Ih(R(O-^`EvN{_6H)8GdO4I^
z=@u(1tL^*56YjuMq{UuHcu-(d47qqbn0<#dcj#C+{vlLEyvntL6eICuxM-}O^MZIV
z@l<e%aibRhdMlCyYOO6n3Lp^Fy2FLMJSzj+vHd+coJ7xVG2@xC6S$^`Awqfm`WX!Z
z`S!9vAUE;?66Qu~X$2>zopcPW%XL&_WL4-bcMu+`%k5}&FV6;`kQ#v;z5haVR*6Pe
zNBf}`QwRB7=T&L(J97_-P4B)L%&M&1H$d*KbrY#RN;^8$Nl^ZV8_3<2RhoLp6bO(Y
z8sgtzJuwi_?@Jnpb@!dAk+E?sBto>9J2=X^ZSTXc^%i;{n$fJEtrio^<LJT#Nrm@s
zz}6CYcfNmjep>tYLq<mNI@!+3+qx&%Jz@b03ZcKuT+9P3(zM=h3x3~1UfS|dRVdB4
z_f_3Odhfm?i>G}4{P_fX9u6XPe*BO>>a$kyeWPIq7iRj%PcEygZ1TQu$$o@7{-SDR
z9Fe<$ecg6*(Q=wFJ1+l~p+V1(fCFP-Kb(nXBE)@jVuY&YUf!@>-f%5)JFV{*wlX`w
zokY^3QZ|2S14oZGCp+V{p?-4UqUd3c&*k7KDolN=6uywS5a0UhZb*psF=uZ_82D%c
z=X!YoK{N$Ff=|BfFHm!u+HI%{MmLEcK-X`Eg7YVUXaO$;9;MYRl+<rc$hstJt@YgS
zKc+Wet4>^`M2N}A4#Kq9RoM=Qh@{S5nw9IvB%I|zX|S!WtE<W1#Z}fOsTCr>Acefn
zZoA;3eyh7m^X}7w9}hLCqei+e(>1qrdH+s)B{rb@*`?3=DP!I+7e&;~^VdFGq5+3h
zG-B=oH^<MQrf&u~#jx}>#nr2;TMG*=)Pa>KL{}$HXP8rqDfpq@>s-&2mV`*EX3KEH
zcOGxo>@;f|9msXa0`1vn_HFHd3!tJ@?xIVAlPcS-tHt@U^A7C3Bu%M5!3Z>cSOnP<
zIG;J$0J^=+Hq|lOu38nGdR#VR@IDuksiU*G{;bBsegK(2;qvcR^N@0ps`<)oa{}c2
z{!N)u(>3dyo1F0%1s)VIWMoi|bU8THHnT4E=V3oXFmcW`JpSDz9@6RvX36~j7;^8}
zx}T6=6F+wGr?<^JJeB&+<A5na_p}+&;6ip6{Ng%#mC(X*$Y9EO?D;R=dA#nfDx91l
z)a^6FB0ibvYwjtniMV|yGPurM1-qyg5hn^EYE#R|fpKM3J};VcCa~sWuP;Au)u3s<
zsR8j;8`EpSQ2P}RsSUa(Y0G_hi0GjIzGkv}>~5`HC@aG9G!s8m{P5|3Dws)A2V4bD
z(3w9=6VFl8e68ZnnqTAoR3T&m?)S7cvm-s;2Y4xs#rjpi{U)aq&p^*^q|bDLx!@qL
z`hZWavB2Z?`r-1`4nm|8Z*MI`RdkB&0cs9{s|m#9Pgdy!HP8m`nft$rxPRFHblPZN
zo%Fcj^=A<|Jb=u#%OcYM9Aph>e&xyq>qg>7EgtZYUad(TSkIKlp_daB80vTw@LIF?
z8{B3x;dZt;5wU;&SRUbf+gy>s(Ig0Q_?2tUY-gVSCuhc><VZ86uGw$wPj(8*urZ5U
z%$ioogql%_Z4d9gB7I^JJmZDT<=%3hCWy4oRq?N8H<Hn&)MAoLGUQX@V%}kWHg3+`
z^wuUBwQ@lu4)1t;oKfXg5UwV=*DLiEhTaY*B&v|dW}NQut`7Ib&yw<KrNc(8sfP!>
z*Llr-oSx{|5a%$zWT1EDcjj+TY_mX~rV#25=#02XZC#s;ZlOTxGbQ*H?>-}LlVl^2
z(KC<Bz*%^xt@%dZx3kHF$2R>Ad1m?&uU1o^4o>G=4Ve|YRl4fScnOF&srABxq$X*W
z$3zgJ_KX#ko)PD`x-e_X%E`-1d`LX0pAlv6p;vh@>-pi2T2Qo4fD^Cnk8UH15BIup
zi+inB*hEA;6KAf<ZJG~@1+r4-4bK8Tb>raRU|8&K9*zRx$vhKTgW^hNUVe8^kF0h6
z*>FgqK4hZA0LHnl4J&U`<)oodlG5h$_a2uudz7;NFLcMhi4Zw1*M$z;-VD+E+f<)K
z0?x%ve0Sw9U*)?5_u(r(D?Abs68rDmCJo^bLFnOT(@M@tP7X!A;NI?TpJLH?Ehi^;
z35DZN*Lyq!U?r)-h@L%)EW&VQW4uzo+#+O#_lZ6LN@haoJ!dEFVMMtqDYwSTA7Z0W
z3&8#tMok0c;eDr_xjTroySoqtr@on3xL#F5gLuc6FEZZ+5NQC5Ei5dY)<4uTaB&eR
z#?pRBT*9MY6R8|;I2wE-%NYfb^2zb>OD34;*B38dkeH?<Co8CZ?;id&^6mTgN7aT=
z(Y1yj!~v+9{=-Ru|NZ;-o+<17Uwx1GQoA$OA&xEpYZ6)gbkx|RJmBJ-sq5`qCUn;1
z_L&-|D)qb%+{!1Xr%w;pMhHzGI{L(0s;d(|b#b}gZ@L13P$0dp`e<Dtn3yoJR>>2P
zP)^PlFf>;yl2PG>nXWE{@;6Jqq1oB2nVA{;i7GY}un_ON(~5nSmiEcxg6!<TzI5Sb
zU^kTF0rB1d%4T|MYOGL`5kQ-$8jN+0(uOtwnqVCXTn}m%0aa2);n@XYVc4?)7k=Je
zUPER)Wg1zM4W7F>?LrqvwauDr@_KrDfd6GM{Q*{Df2)4GW~tu$7;JT^rLL~dVv>=U
zHx7Ui27?Bru}O-UA6-LL$H$&R_G2#r!fpVItSm0d5fKqJ?e~irm0MtLe_W=0Kn+NT
zsAy_QNr_R7{Z$k$4>M0$-M%FcQM$N69vx|KZ%<85{({<$lM_A$hUZM<)sOW`Od2QL
zrT2Dr%mAz!EjDNe;D;Y@9Hy&RuPTEB|5{w+;oykkGOU_Y;cn~z|KO#kf3`VUyPP8*
z<#~4O3~S_NWDJ6v&liA%@ghC$c)iF=|3^T-;y5+9%W|Q?Yya+blm9^Jx#}fGDR6xz
zbE@3f9sKa|D*$L~K3U_4UyQ%0GFEA$5${^J6>`<*_m)~h7n2Q%O!zlrjW`qv7wvO2
zZZn>%NM!gymsY|%F)e?bko|u{!k>8o7@NUkj;`#o)SYy2bY$)AeY>)<GBq=^&!E!U
z8B(${08m#K7TN&p--CQ=SRfjpTzSGYI6PHWSN{_Uk6)^vs<InlM`6wYaS@t&xB<G&
zb^XJAgCDh34D+_r`247(Q+3@$DKfb5@;7H=m1_HO5-?OP0rsU!bb^B9SV3r}0e=O3
z{rs)~Cj&WIdsi1Oa<9}xLi~6xNFNLW?ho4>2uKkcvhed~TxMo8xKyre7$LxO7`ny!
zXnAB$n*Lb(o~#z=1N~xHZ5IL%H+b$lrPqL@j-PM;`V|U<OqfG*%73EFC-26pX8lhI
zN*j-^ea-3AP@HTVx}9X@r*c2pZ5zb^2nP|9t2bfRBtw+?|9}V|tdA14Bn9~bz7_ZC
zm95yzyti-XzU8R^_Iw#|`Jka(MMhXYP(W=DV<kdcgRmzj1gXwX#I-!j+=s2b+yG^#
zrKKIKdPEA0+XKr9U@PN*_$xjZnE>}^LqWiYTx#+q^~6ca{Y-XjQJ*d9SuR?hVW4nO
zg;?5XAelV9yjo{xZy*pWusS+BCkdziH;|Ta3vfI+*ni;DFyoa}RpkH=)h#uN2Ez3+
zwa{hCTSn4=T3#U`v8cx!zM|-W9#~oVG;UV$Ul?r^N!axC^e!CPpY23a9VdtDn)mJn
zf~`4Co36vL_+0hqdnDKF5GpE-);BE~c+dy4rtBRlS3Mq$p{J(@Uh7S(*&IaI)U2$5
z=g-lxFfq#^Rv#Q5F1ZD|+x%M#05GSB*PbPcLjx{|sVkM=h6IVF5z~D;ty82sG(DXO
z4Bwl|N`8nl0}zJ|IVp~|rqcn@-I!?<`+Ig)=efJUFuH<YI-c<VfSEFh0*^A|KIu^7
zUPALjAo}UA-Zwx`85<d`tgUsU{AjD6A?ipO%n$Il`{+B)^#_Jo!MSd=9_ddW!QBcG
zMO=Qt4(2BgL`C^-z}c>1T+lrimx@jIAHQb<vLM~OS)=C}_U+yMg2)%60?~>w*XNu3
zPP_kZgft2%PZ0iEiUY0?c4Vg`g4C+p!tsHKVF9(lY>}wp?>$J8<Y?R*<#WU#uzq|z
zdTYj|hwJQDx+A-rLC%759C6Z}6Q*D_3k!zV-fL{)yB(x;+fAnjF^s{5Sdg}ulL9jX
zm}}!h$T+WvCIBvJo<fET*(QK$|GYR*9;SQu?%i0EU;Pa4djfRU3rbHMdVss+2;L-m
z>wT}P_FgVjch|?j`ptVz@`!G!MgyJ>NR>zr<sl_)Z?bW0ti;hw2PC&JPW>;9A5!%!
zbO@5F9H9gTdOIfh7k~DfAKIj|rKp7zGC_(I&F{sXsVsg8p=*eLI%K-6B!hyg<f7a6
zsV=pUB4*NPBUzZTIGXd2OI{1>kiExR$A{RcnGY8Vx_%c;Ca#7;Q8QQdJo!-2>=Lrv
z<{atdFh(rv_Tr}8hnw;;!>nmnpwKgsP)EBK;e1=3Bu5uD4>I(hi0$YLesr9xj@FER
zTDY1%uztZWKWB&Vu`b^WypNke5Nb4Ky7VTva0&Ivxh+?7vy=4c5KOATup*Io;_BD%
zxes3wMk4caA^!6ZR_}+z1s5Ko#+onuw#Ut;Ol<el{a%do;k~NNFeYkA+2H}wNqc>B
zc<OkbZzCCSHCdG4GckBC$q6})NXg{N^y{>zkj+yzMSO7UV~0d2z?|77C&I-`Is7gv
zzT?nu!1f0dx7~sy@BfD{@}La<n3I!pn=OxUH8YpbC>#449rms69FN5Aox4yhZgks<
zu(PvkvmIJlRdLw~#b49`^*?GP(O;-XrCEJ;b~d-RhRPGM;DFaIE-&kyxZHN%&|mE#
z7VLx+(s02OuqHVOw)0zCC8%-04gYwruMVW_dkfy2&@w$HIHDk>0k9wJI|dH&-(I+Q
zB(N^P$<wd0y@Dc@8gsQ%FV2>wKy|_DoHk_J0e7^0dl(^28(hOERuo91X(4}*#?&n(
zKiC<27)zdd0g4-d>RY7FcVoM8O)=LNB+(Gm9rNwmH~aS2uU}Ka?fJ=dHRs{`ijSVV
z3?}}6tQvN|P=hL@{!PuIstnn`q%<<yRKmsoMM?uQ1^5MrQw&nq$J8~3Q8Uq>%v#YK
ze$V(E4+Naww>$$ONf_Jx{JG_<fLnaPWjA*M^X_PG<*G~h8y7iVOwd53tW?no@GC>y
zi{$U=?@plYIe4u;|4VN3G9|^M-JvTrxQv6JpOk3`?hT9YC;<=TKeF%kB&xFF;?N-f
zp}H(Dm1Ub2nwUr?;5gIJ@uygqqoSf>uuwCXui9(A4KwlZS=Cj3>#=hwzZ2Ju$y%cA
z<_rJw(WS*jv%WOJ<I(2xkPv)I1~D;ef@=b0YTIMwjI_WGZA{lwDm>iueLRxnmovCC
z-_Gl{raif{@HvVXzE5wuFcDa=W*3qXB+&bC?HLoWF+;%KlSqADUS4Jt7OwqzhFtI0
zo2aRqaWJJo;UeYwoS+&Ci;X2}XlOvmj4W+zFc47q484)XK0ZBd@9e||{#pPr8!ps*
zCGbcqPROvz_SwbX?EoaOu1;ji|8&!Kyy9j<V<YhJXz@s(=+j@>0Bh|0{;h~2ylH3%
z=DMv2!78W}*%tC;7&-*P2TN<~+xGi0Vp}bcM)CL_JNfQ)u^@r)A_p?|8sAaEl+SQs
zqSQAi1q<9&HEtXSYel6DH*aF@FAs3*)eAn`Ak{lq8^KTEHvIy3o)gFthKuxwdQ!Mi
zpN-NR*-zD70kH?p<;!xQ@&P7NTmOUZ+1dWUKR#I+@E8BXgIWbR7(iUwg60beoc?p&
z0bg;_B%CiQGIGsQC>@pfRfNaHFe9O1Vf<WN(E$6v1#AUnl5)l4(GsIZZ$Uw|hak}a
zQ2`Y-b&ufVA7zk^^$rZMC@Ux^pb~viQPJM+ZVO0fj=!mJ??R%Zs-$FgdbIh`c8Gyi
z%0I)z#H9D@S2KTq$ywihwWGC>C?+pRl+n#>ZCN4tyh=(cd*j9pe@I^mCz-l_^`(RO
zWc){uC7<(5gO__4K8OmUA$hs^B>nvF>3&{{34=09%>h1KtHysV8fqG&dUq~JM!fbG
zmE#wWcYi{)Vv_G*x&jicZjkX*ayVz<z~5H=_w|0`0*{KSR>YkbE@@<lw1SOXzP_a2
z_?CyS%*VzSfsECAIHsvGzZP+R4s7NbBsj|PU0q%FppK%1a&Iyes9$pvlh+Ot8KO^L
zB_>*WNTM>x8t&fY*RM@}HCKXS<{zctrbkZNrx}JTH*Ppm{{|^j1r&o-P}zAOunMaE
z1ZS`nN*@Py7Nr&eBSHaP)riZYmezqw%KVZ^uf#~%(a|x#pnxBQKp<B^X?(B=u5~~m
zl?fh`A?9%l3Mn<U@2}F+RrX3TWaiOQm=s@7wNjdRwwk9~?qbLojB}7c#v(v<8I{&6
zn~2U`y^O_t^Jd&xk<!aWIO3k5I*Bhfmd`2KB=z_AM=`-btAi;~!X(H~_=JR#7ft0Y
zK##`M<+cB7Xmqqzi5em+3hcF?<Pj7c5pn>gw*g8on*L?m2O<+k<OWQDl(FVp^(2F$
ztkFRPloOC#0Qh<gGQaut^{AE>>E0}<8|v!nNQqIDADo@?C)2m}IVtSN%Fw`HL88{#
z$p{ew^a=_PbfFZ)28kj1UA8Hxsg4i6Ym{5}U4!xi4-E|s(&YPb;(7s{FCk^y+ux_D
zF}RAV4C0SZXD?#%)zU3`U-1qK5P(3$t9<m9Q5~_=*^X>^kEWo3@iYr6*h5%AeHbLX
zEip7=gVm2m8A?~DKJp`T5F+7paq{(zj#Aq6XP_Yh_G83QQ<bYd1{ndw_3Qs$^E>yW
zk_hVf_;^5R(M80>Fp#6|*;pur8E)Mogy<0-5phRa8i4fKTMumiR{_a?lncVH|0)-J
z+VlVK<wE19{kQ;=N~jjBP{Dl%LI-M@HO`Rt-I6@r;1}QT<(D^^{N(ny;rwLXbM0Nh
zAQX=RPp0a$_;hZLv)o0=0yd^TR(`E(+q{H8A^o+htK9AG_DmzS@U&|}J4A{o;Mql{
zj>zQ!sN<!G`uyXM_go8Fv1v0cO4K4FgAQSJZhM;u87ni#fbz`2@mqE_9V$riTlcm=
zV(;L%_&<dp71OOyOFReF9HWpB1xQEQ;Tjl(%?l0=mi}I)#edt56anpxLuP7AlJFv>
zsjs=mSR8l&13f)j0*l5MHQ{N?Q(@-?xwE|<ZV{(B>2j}p)zs&3(fuqcZDRk<_g)Ov
zCG5I#4>jNz&MlhJ$8<X|E0u(|Kp=+)D-`WG$j+o=^L)BvQ)~8}pntY6v1T)bHR1oY
zeq(dutT&Y(HxP~n$G0tzo2_hZ^$R&n433Yd{_KpkF)^X#qQFNL>Xej}?%Ok&aK4Nh
zJbAmCOQa}Gf^K$!7Gx*Y=C$(}v$A@YWG2KKqmM3mo7c7-YNvG<)3!(2L+-96yb^I{
zfFoeIaP;ZVuXIt6O)~hAgb-dAk<J~`=Qv@4EMtCoxf81A$?01+jeloBScq0&gt}*C
zb+t?JhF>C-=PzPn^5I;EUB3DcI@8w|O(bzZ3|Kj8o8dz6hi(7n%+;OWAippn+zO!y
z)V@Dsr6M<cA@TtR!1M=_3Vsohx{f2fZ3R)dYT|a&@^`<+F;3MwW_`%4s2F8dhEP?R
zot<s8se?W8LCHw%DB@dQLBZ33*Al8KDwWYuF)`M#?aJ{H5fKd_089PFs4`0tQ{(3~
z#zFFpg?_^hL@*IQ{rvo*F4qE70Dy~#%OVbldnHie<!1l#)|Sa)5hos79t4E2^={iz
zHRPtG<;^EAHc0ax4;NkmeU7<@H$X+*f~JoqbKW|b#zE$%9p2F)hmuEmE<~_6&HDXb
zrBT$zsL(k33<!|<d|^MNUfSUR8-U7dg+^AJ5#G89F$+k;A+axRas2<aQu<fflqE;w
zJl__=?z5*oMWyzg{k)$1?#uXiE%K-<f*E8Hw^6yIx8k5Np^<qod4JgoO`d?xUenp(
zsA-V}ug)67^w7Pous4y~qO+mQ088&a_GYEr(8DW=#>1Dq_I5GXm5T?(Zwhq;F}>Do
z*}EAuBGbq}!VCpPCdm_vOV31+JzU@7;#c*qh3tQ@OXRDC><FgCC3w(Up5C*?n6vjI
zXxa`dq`v4=H)n);h%KSE?2WZN$ulg3lP(dxsf@&tlSs3A`$UE7;H$2;*aIGUwC^~c
zBs{Fr&t6ryhM(Nq_N|VFT4z~Rz&QrZ^L2pnDK}!qWX5Ovs**`=^9O$xtHGE;O%N$9
z%T6$wlhsfYwP@5orClbewZ%hrCbpcF(moEdKqssnelio&+r+bX*#68|WrjFfBY~-x
z6gV&|JUg3o*u+0tzC0<V{bMJ_Mv|kRR+s9?8WQkkQ7nR!?!`S3)w#`L)nXJ!tCLw?
zl3thUm%Rf(0UIWMDcMdA8O}mRhP*cIKTnoLs1aZ>p%*UCSzRMf{6<`Q+0(p>?$AnS
zsi^0RqooZCOEKbvjo@FOCQ-HR4rE#6%-Q=&I+~+yNSmXD%h{21j^lGV5+O6hQ2LN&
z+4dP*5sfLKtnJP-I%(F7r<E24BY8zWQ0U$6G3ziw+)uBQy}8qx6CS66^{$Zpg>C`Y
zRtX*-Kd%;>y=K|PVlIP{S&WhOdn442RWH)I#o*nzljJ1yMw%-78C5w@`EO+#ZaX*>
zb`SJ+D4|Ow>9Y<eRpNLM^tgrV6+ngPmKNt(8T=F%Jy5~^aV2$nk$5740QWAc-oegJ
zJW7E_aA`LZ77x&Wj`{;}{meI^d8`}h_p-Iho_p$`-6`;1_&Hw5woOVCtmsmqGcQYm
zPwq76{^j?wft+<RJcv2|M?SM4TsY}uUtNme+A~d{byD8(khI7~NR+$Or0!Y0(qRSq
zNO^&gz1KiUU(KUtj+VGH`(C!^5~l@Bd{oTFm=1i)OC{|6C4ytJU>&qKD%kHz5wmf+
z>Z>g{m@h<<q6XgH(~bt>NXGn)R=B>9QX@KY(WsaA_}W%zs8qI-0*c|%v0KocA*)Hv
zy_<0)fgP&2=Ta8|6l|dpsEw$tb11AAhU4>NXTSb3k83D>|8&G^k0+DZipQKZ=rWcs
zc1WN43{`zyy~}}bNF5<apmGB#$#>rRPJ0~E1JuihCtS|`OpQtPOTMQPo;)VKjwjR1
z%^jwQ9gzI60J|Iz2jGgR>Qt}fU31bvnnOWxx>~atIuz?Dfy8oHoW;}I<;}#&X+rVH
zT2Qt<PJK=24*kU1b8Jam-H+Zj?;}9skr2irsoSD2|H6Pz?gJ<ySk<9}W7J%W$>&jr
zH6mqb%nM4EKQ9brSu`{_v5D_8xQ-JaM$e?mbuCip)0eb&1`XfJa}o}emZfdFRvr2z
zub&A)a(@hd{!VI&?kUYS#e$jRodAL8Ny{bD`fGvPcRH-C=g+I(uq$q>j*NrqfgsQa
zXR6k|j1L4RBFwOGYO<OLV>4ih!i<f158BO=K6vD>+3wXAI|^E0kfAGIHV~5g`__Y5
z^ETiL+JVZm`-E!k6o{gc@fC)UoWd~1)h!ucf^3e!R&WdnZyORT2qfWnBuyc;Ly@dV
zXKL6>t9G5_nbh||T@S_vEj}|N!qnktz&r+_2D8wN%4om5i7|YICBzKz@5W5;e3DZz
zlX@UD)2pD%!9ebmptZt{nez)3UfIVMmE6lnCZ#jn%Pr;twsls$ZN9Z<H8VD022uu|
z!vuinBw1pC3Ebsz=Kq@{Ll(%7VBMlAzO|D1jy=RNkEnP|rY%8Xs&Rvsywro)*$*;M
z;v}<iVz*v1`7$lrl0dFl`@CA1ZMP-qgTd#lBqeucZ?F*yre`SQXhwW-%r8xNepTB0
z*%b`ksoehc%y)bt4whmf=G4#7sRjearQHm-RTsW|O${baT1lW^V=7+3&W@|Ze83XW
z!wgQqIUi?F#PSNwQnTGyi_Q)kWz&j0S)Jzzq$kgIs%}5*JdU<6@yL%95{;)pHZD26
zX$kj94lC4d<d29%`6+vuXW(5|J_f45s8-xxUCcFuV)x}!%OYq#$dL(V^o}@rI5fZ2
z9fin{6Uj-NO(Ga#hDr4y&<jwfcOLoFf~_4TSQ!4uj@Ul0rA~PFuvh|$atkh$>A`+?
zUzg(qy^NheGuF39*W2ck32C#92SyoY3%#D+<s_Eg$1ES~m2qf-!HisESS|98>U;ov
z`X+YY>+H|{lG!dI?h${er-KQT!8B})Cm3II(Zo8zWHYJVc5Td9SH><agq`UAY0aBJ
z`TcDJm)P6O#e=47mZEI-M6s4Wjr>X07EECxqUQX8(GF|oZ_mDXY{G8h(D(@`<>`M|
zA(~@|*d(ppV{YUh=Vy!m&2E7qQ0(|K(iwzjpaaU;L*bM*J+j*GqcHzUzh%YmO%NUe
zYI-!y)}l}Wlt_=(vv$MD!avF0E(s}Q{*pfa^<~&L`QY`I>5-)e_uEx{aas!Q={LC2
zy$;ku+2%H^M^128xvYE8h?ltK5hBK7Z=u-8uO{G35;%Y~)Vsb+W5CSWLInrGJs9TX
z(niOcAwWee*wvx#ZIx=f@DT49r)4THXr$76iTDHs(F#_227X$xY%xQ2b?MkS<7@TY
zLd%rSRnRVUS~g(dQ=LX%O+OUdIWpWH=juV<#5kx~x$s&e^u6hOi;w?^D+$mwxT%YO
z>3!ytKfDR>pZ5JM0<Dxi@-3Yfa~2kR{Mp{XZWC(|0ATH4k>>;X8<?RSetWKqCF`KK
zuaBnKBWC^AOoz_8@V=<NU{veD)Ou1)#*s($$fuaU!X*AC7Gw4HK6zXPdo<8?6HByC
zlT*X9Mk5{Got&ONslaxaHzQgyxwP*T`2xwvc-Czcn;>Q`;(^1?^4FR5&=d7wBf4~?
z93~iM?FCdzZGC-ez~_?CNcxI!3+pxAea`?W@PAXj{+q%5ukSp0M!s+jg*pSjO6xg?
zhQi#S7++`$!M~}_Pj%T7>OzNhU?3G-T?L>|VW`AdZ1NbYvo^qOJf_|B;{H6eu*go7
z`MovmP`W-{FKk$2Z(vsfNH?Hd&|$XZt*fGq0N%ZD4Z0_Qwx|VqcMO<bXXu#WYfNSm
zPz%a`B;vk7W%2N#Lwj02xz{FCY{cZ`Autb$t2f{u15y{)|3UM2o6k=;Vy=s7ExN&+
zt-9R+!GJ0?WwkoT1r-(u7k~YFZW%!|Z~Vy>7kWR!w3bfY(*dn%@9X<8=F1e9l!U3F
zF+j5XU4Q^UEL1~a>O_O<DhX$D#oxfGKr{^d3sa!5)H82~06|3QV+^ebKx9OrVPK)a
zl&?KKK}AJH4&H#XltCLy!%iDM4^_zpzb)V@Mn*;@KK`1{U}jD9q7i7%&^3d!yG)<6
z?q`e`k9pgrx=)`L08~4M$_Q9Af}qwwD8gS{6U2jWCj)A#-JNzK==i!904NNvbuX3c
z<^(z9>H1B+qFVRw&u?tJ@c(;a4u#&myYuziP3_Q86%LEbHEHw)<ctJG!a-xnLiMOg
zJE{Z2vFQ&MKpH#y`|SxDk`VydjXUhao3cPLOG5emf<}y@(fhCsxRF?(*&hNehTOBS
z<AnAf;2<$B-;lfxNK|-KR68ikJthyJgY4)2fD{VV<aL^BadG?&REZgIm~~*miR#B;
z&}Nto_{7o^MeXY!r<mk$ZyA5Olt(t>z0QRyg;Det^g|$XP${+n?y=J^wmtWm(o_yy
z3k4)L`gowAO5GxI#OYu~6Hw;dr_23d^LA*62`n+LUzqlol?PPpXk$DG7-Lwg1&H}P
zSMySKfUsVG-(LXGb1-mu`qUXbqXB9)Pv{Ve13&;~Dq_#iz<>^%-tn^3MFiLk4M9<r
zla3eb1#BfWx1vBR_XfJJc&<gGHZ0OOxyZCx62;^}Jx>VToZNboP{tj@ksWFd2tbuX
zs8%^(4tqvI3q2vwmpudw%gMtdEGz5ACy(tIFlrD}TYLM^hX=wad;@Srh1@If5%PdS
z0Aw3OD}guHU9bg9Ya1WG3hgdopDpfOod3N;vbD7Z-IdrN1H+F0Ixx@)j4O(Gg-U*5
zwIJ(Oyw&2@I43tZdFXzCewZ-moV;yc$&?9=k1htQ6Z7AUpm`FCVp%gYIwTt)FVq3!
z<Kv5LC;>q6AKtdq#Q0auGY<J`@F^;BPoAl%DHJ+U^<?^!kwbVSOG<h$>m7hJ2LYp)
zbb@xIa*u5j*1WQS3x7c2XzsGX$O-q&X_)x*CpTFmqw7!VH-%6en82)tjzE7XJvTQI
zuy|}08K~ALpth-`{KadYOryH8a^<5asD$kG<HWp6whElw-9tZHIFDIdv5G(T1l0y&
zv?@y<A>ngGR$nCmCjr&92puw3PcER^1&8L~D**^t_?6)lE8OylbbywF+n}(lK)~$Z
z05}TH)*(FW8w6nd%n{q~5K5D>K1yJ?q5F2SpAI@K(GYM2*sM-!#|HCtqyFx089)o5
zxg#8KiK`Oc2hwm%+_$D8fZ!zmNapGmCeWodS$r8Rj&fe7<xG!>FAn1sn9vq-OP2{?
z7^jQBzkfpSqZ~vEpg~ORPC@t};&Wsl=M1N~#)0*K9%a;L`HxUdQ3xFy8!n8Ljir@v
zIzRIoE;XI~k^0GTRuW7%PB>LN<IMp`OgZ%TUBbeeAe;duT?aJQl-mr@zU%<lW(Uv!
zMrLL#z!vqP8w+*TK!1V4%WICVI}bA>&`&nMR@xT>x&$?jM`Lk-S<-+TD?-=C5NcDK
zp^t}ARP-t^rk{VUj+WlICTJH7fG%aa`|g4~oGyw#9?(Si6A%^%0vO6D6c)_Nd0$e~
z3(ECy640*vgo|UW!U`YQ2b4u}01Ul%m!6#+Z$RSrb%=;g-_?ZQIL<a5LkPi!K1Wp7
zj>n7_3lIRi$3Fx9KG6Vg+4;&Ci;5#C2#b%OA0<S9fD6LX7E3;J=+Choc~6e&O#@2h
z2J|Qq{)1AXx_iMK?H1*9JUqnE+S~!aGz4uTgjHzcD^Lo-5XGU3EBEU$+$SjayD6!c
zlh_74`HN9g?(>J<fZ($WJ%OIvI%roe_uRGc^!A2x`0=Yj)L__|@4Lc7=+GKgW^-Hd
z_IG7vWW)gf`b-!DCJakYPv1-pfu>Ou7I~NLRi8CDeyRR4KLVZH^KiTE92^9vq@*~A
zD+5GK2w?+Sp4>jZZY&#RMkcwch4*@8bb7$$tgV@W?$F$t3OHXGOozVc*T$l&YqW4*
zwmpLe*(8yf$;tY$b=2zNj5B~?;YhMOH?@f+mgFUV+FC~2sK(9iz}|i@Mnn{AA#bo!
z@XNP>I47;%X&xOVB$%5syL9Q&3XNho9z80Rc?r?`A#}ZacM|8w0Mqo}vjh#9VU$Y<
zuIb*>^oN<p+_-gxC@qB${-*$L)c*^x1eMLOHxoCyz6ZETV{SNmcH-?~4=mtEQJmht
d|In1YAi6&$ze<?I-vo~$%JS-RB{F8u{|6B;#E<|0

diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map
deleted file mode 100644
index d6dbfac..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.map
+++ /dev/null
@@ -1,11 +0,0 @@
-<map id="bayesnet::TANLd" name="bayesnet::TANLd">
-<area shape="rect" id="Node000001" title=" " alt="" coords="100,226,222,252"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="35,153,143,178"/>
-<area shape="poly" id="edge1_Node000001_Node000002" title=" " alt="" coords="114,187,151,224,147,228,110,191"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="20,79,158,105"/>
-<area shape="poly" id="edge2_Node000002_Node000003" title=" " alt="" coords="92,120,92,152,86,152,86,120"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,5,173,31"/>
-<area shape="poly" id="edge3_Node000003_Node000004" title=" " alt="" coords="92,46,92,79,86,79,86,46"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="168,153,301,178"/>
-<area shape="poly" id="edge4_Node000001_Node000005" title=" " alt="" coords="213,191,175,228,172,224,209,187"/>
-</map>
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5 b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5
deleted file mode 100644
index f98e719..0000000
--- a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.md5
+++ /dev/null
@@ -1 +0,0 @@
-acb57f33de9f26c8371c599af6ced955
\ No newline at end of file
diff --git a/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.png b/docs/manual/classbayesnet_1_1_t_a_n_ld__inherit__graph.png
deleted file mode 100644
index 6a30308f5f8b30c89f6d7ceb265e6298ebff5637..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12664
zcmd73bySsMwC=k=kWN9mK}xz?LJ*`wlx~o2q!CGJP&yO@kq${|ln@Y=E-C4d20`G=
zHTJk;?{mjKcbq@&IQI^Rx?HaKzW1H)oX_){lW0wKB|L0OYy<*<r~E)c8-YOKhu<ie
zH{qEJHufI)>!!s+B?ZJa^4FWz_bCVjJwjPQR`*%<&YZuIuGf{!-h^#qJQ{Y?GqUb3
z{wcw@@lQ`)ezaI+dEz*M)4bz7H8>`$Ga=-|HT0<6`SNFrwRS{BQ5~kW+1J$j&o~d`
zLld#t`f{F&RnF7(Fr#*d;C9FUSzBI||CS+;cPLHwt>tXc_S+yr4wE5_@IU^T{WUto
zNqp;;MDn(6j73;gnD%DrTlq+v$!7c?0iyFQp;j`5qe}H`ikJ@*1Bma%mTwUbDb>-J
z3R?9g-nlD}Ij}wVX=0ou%I1OX7HSyb(j(<WEQak|v<$+o-T(VTlkzmv$D7+zwU1l<
zgi^VUr^$~e(bY!wmST7wJz3k@ig|tmL%83XQ@_Hfv;FFr=iR$^ZyFoPPv?B-RtGa)
za2q!x5EaIsBHAx^Tprh0VIBDe7W|Q6WyOdg<LTL|Y{wT75y_SbrrjDZmv?pL75CZ<
zyMckf5Kd-dcXWxZm1RhqWZdkDl_l(CA8X)PqLe`UKvnglouS%DmHUc{QIk8m&#W89
zk)KpNt<+0cgryvxU)A<Gz40{il_srKF7wi1k&(;MthpTtGFMTwQhp2TKMD{bU0rfz
zMoq-l*4B?cye%ukWoKvqE{KO9Bqa_1{o86b@N}-PzrQp37He6JDZ|~=#6(^OKE9+>
z6&02I_I4TNgXubl!GVENw@=yG)b^P+Zl7Medw4t*q%18Lp^R&Jwr^2>T3TFe=ImVY
z#i`zDCe_W&?e>_iiHSO*r717>*%H>t&P>DfNga*9aj&LM&WoFP7SEnNi`$CCqf$&B
z?CYZsvG1Kv6yGdKVtx@C+Gss+yLM*u#Gko8Ihi>1)vNT@;KI+J749%It5zK^D+qev
zVey-qnyP0B$L;R!>Z-U6rt{rpW20B@`SOL2jV-FJt?lUWaCtC8KskB2C(cq=_tl4-
zg9CTurOnhkF)0_ldshW(JGyo3I95WsHk4)SM|gGlC)jrFTh7MH$``m?kL#;T=6(U&
zZ{J5oQc53{=QlKnc!|?s;F5PZOjKkz9qPBAlfKsW^zc}Yz@vJQ{4kAsrJF#;vE)zB
z%5<pXXt7qnK|ib7KpoAeCQDxZH3FG`_YjiL_RQ+$<^BA`EiEmT9}(0<jBCv}efaRf
zajJ#|2OC?|?mNA>nAi{a%7HYVwIa2wvp%MTQQx~685ziLIzQgpSYGa)`{bi9QIz>0
z5i3TJxevk1!SPZ|OiWcp#p2#Q#M*G4MlyuFNQ2{)g}ASjlvGA?a#wmf`T5z|cQf8Z
z=H=yO<UPXD-X<ZbGXCUkRAq(|^YUeSYHAO}uKV%kn54%lZfk36Mp~NEi_VS-6aTo&
z^J6AosXl~jR~XjayLYYJ-T5ysFaKU${K;}kDU)W5iHTXJa%s_8cDGKvuc+w0JKGen
zQJ5y`cVu^dad8MySadP!y}cUWX_Nz7P@w)^;P{D?Gk#6PsJXI?{#7+LHuh34U9f7h
z(I;;%I=}U|;t7Q{Jy(|(0^Ho{idIXhg43m`9&6viD=T@<PyZya<^>Q#m_ZoR1?-{R
zQB4oo-ge9u_ri8|b{2J8LQ{;R41f6&o0*vzfq;FFsJ86wnwz7M@YxOPH0yxSkR^sN
ziHeHqfX$XAzJLGzGdRUbDJd_+JXX`Ei$8j9XhV#?(a4itpQxl$&lWYWAIgj+=R>Wv
z87lFjKs*R#ex+>(`}V+MXSxnyb}~6c^P)+7;Op0g-Cg{`l0ZA<a!P|pmP;eDhvxzP
z$t>i27HG3`b6aEegd+B@=pE+Uq?)~V><#eo@fE$jg+0Y-ymx1#LqZT?VPR%pUXr@H
zyQ3l+KYg;CZFHNgccS9p;Ha|f#aGP~#6l!yX1;_&eY8Dw3xYxEba$@$>Bt?n!tdpV
zA}y!C{G+0yWh3!v2&t)KCnqO4jz2yf={c%3sf_G2<DIdQSId*8x&F5%Q*G5xjC}b6
z6_qYSm)7vXLDkw`=Uwu_F$xlru%#u7fXm~FF?%tuO_JL@Cb-FZ<02pNAD%aHryltZ
z=Sppj6%h(GtqkxW=s7uYR#sMA-P}+R)Y1XuITAiSoi8x>g0BLYSy`DxMadC_<m7hE
z^Y4^Xc+I=eVre99`?db^+>nD*x3IkY;^@e8L^<#E>+t-1Mx&NzL^p2Yc6^S$m6Vec
zH&&{@yzxFy(ax^;gK^GoT0ljBS(Za>weC$jdwULU(>9~6>MV(y9$xiNM{efk=0?TE
zed&09qjcLJ7LkpMtNixhY7oZiW*=m*+B~ie0*BKk!h1|{eaHp1_=1h-NMcf|3cT=E
z%@!qk`t<4E$%&$-CLzKMvg!jhHKFi<h0Yg?ySwpEYHb+!`G1n!>y9K)a(3p<FDQ^D
z-q_f{#KGxK<uXi6P7dAMb2V!9BMk})f+q!xZ<@t738Qp;`GWrU@86;w0&39^$OBd5
z)`-4u-xO_Z?(ho;5K&RZ>@W8gIL*|r&$qWvS&I1Ju5KRf?RESte7Juy<6?Pnvcty1
z16$VtnWoBlu9>oO&fbm&Z)ffNsEP2=NMipL6dvBYcVn-vu0}UJV`F3Ab()#^`ifx?
z(5lMF$lOFj<7H$F6|fmJ`{ccoo|Gh;oGoCBkFxi>KSggkE<U~}G7>|=Yg2)Yj7&XO
zG6U*F8KiT_fE$~eU!?=jd3kvg9mdN(@M9Sp7}(ph!iUw`4hzrRQT~=Kmg3i%n<e4`
zk8>o_PG>z5KIBlPak5^x{F`X@a)_rEOMb7BC+ws%Q~kcMaLf<aYwW{QN-{13g;o;{
zeSQ7rrlxAOEa4)3|NfGcOT6;#<e&<Nn)%u4QSayn##S|^kKeV)dKbjT;+nJtG)<pF
z4$u=b7Z4CoOVchhsCy|NiC<pb`c<En$EZ=$y0z%3WY9lR0vd7MKMo`I4k_<8p3kS-
zOPn+#Gtcj1hf27hF1UDuQ4G8f%a6{Rq<gjLh^_MPjM+5bA|{42Bwcf2=yY&!;QH^(
z?cddDd+))@0H6IRTj{QbXhf_3Y3T11<R%7;*6~(PW%Z1VjO_nA9A2KX&3jFFOKvt<
z(RZwdA@s$Ir0i_R(m5Ok>ZpL&g#TG<jEO6GZ%<YimC0i=P?i}aZg@81FgIA++Ro(D
zMtTfAyJRvj6o36{viY{s+mQ|K$>y63&YW6q*+O0-re*#Q85HFEsWV;^JyT)-_ifw@
zbFq)|ib6PFePn48uj47=I|b3vuI1*dxQE1D4E<4qFN+DW-ca9b`awZdU!jDl#3E~R
zU!_}z-U!jiwsiV`J;kE6AArDqE+XmsN1P?T)#-6EA^yYAK@~y9(2&lLp}gyC8a&}u
zH?jCRA2%k77xF5jR203&uFyQY><WJ+O_rb3|Kck)zZ@@SSTLT*-$JRV=R##<a<i!L
zhVLPm2NCaIx3lSEw>uq#hPk@B(>!6y+NUv&o$7lYs?U}6du^@TWeZJD=Q|by<vm5K
zxLAE&)MBB}_t1wQaq+ca!JRBBCkpYa$uoPhRqlAxn2!o72wSVkiHiH$PetXvd>@IE
zRDkgDm?2{0(zm<3!ep7(<y2rwBznT+KE_*8L3jg!-uTHr(Zz@;KWTD%K#7{@xjcfl
z_381yyzAiOqT_=M13AnKUanlektO!|PPQ=8ew~L5VRI?;x8x?Ju=xM~_fRKpYVudB
zf3VuYmmbHFUo-;V+qej+Z2q54#t%L6U-^0TB{G=KG~+LlXH(Vksf~!U7xq9J60)iF
zcEbD`bk+YyHtY7!SSwpw`H_$12<AS80=rTA($NAX0tZ1(>d)}mPR60Gy!=Xc!m9j<
zt>iF2vC95;4{b;2CHznBf&jK0Aa-2+`kFIc#D!Kdo;n&zz;cFduB?GU=Ee!grbQ6C
z_mq{R^-l7j(2|)vL$S7=sPvEszLH!W&PymaY*>QK{kYm9T<?T4OlVTD4-#7#WQVDm
zFvTBmVa#{#7_?kME&pDs&$B(#K(M&D_-rYfb#FOACLa_X=nXc+o2n{8Q0Ri_YL=Xw
zoboCv*n(;|5DNG2Gl+>%_{;~2xVyW%E`7!--PVt?;bCAfm$R^7<a+(;l|pcEaPsdu
zhl%vGH2r07&{U&>LrdPAE32zN?F1hgx(HJG?k{~Y_@l3-)j2zB6f@&EQ_r=$v~;(^
z;rkm|Tmpj1@o#TrUx+$R@+Mm;D&9oVEiI^T<MmPXqTx}#iH`0zkjiD#@S$8rx#r!w
zFcuaTn?I)PptP~Dux>d9wqa`(M4)AWz<IBhrRd}1!%-+|Ge{094Mf}05;+Np0;t~e
zzkl6eshRuTmV5X(IKGamL!t*sH2?)9iCITmdlJ@Z^VqN6e(dGp>X3lc*)=4wT1cBm
z2L~2VOPYeOgOYz|2-vP~Z1n4uKKd~;lO>)L4;6O-Zhf%+Z>j0!OBHs=%WmBfc+CBU
z57Q17Bk6?4e3lRXQ^j6A(9p1TbiCWYDf`IKG+pA3M?+yzQH}LLDk$*<ScLW8zZEnz
zG@w3bLycczN|3a$FQ~U19vpm^l|?mCX{td-N4NW{btZrQ6IzDdI3=+af}E7}3s{Uh
zEG&HV^dX09!>r0DyK`BF^^SZ}c9Q>xmFxk?#^R9;)w+q*Rr=C$o=x$h=J<w#1f)2S
zxjM5<{tdS1?{|5Eq<2%6m1Whz*H^JIF)2hDuDE!3HKU`tBh6_he$jy!Cxt)keuKFx
zeoDz>+BOJIrrvoj^T&@LciGwBrlqB^OBQM5ePh=tN@Nys`K1bbyt=wtQ&p819v+@8
z;lr&IOWry1USniz>@~#CvWCp1g4)Pq0|SGV=Yd!Me08`idtw(kD_bn;)oOw?xC#mi
zrt<IOq^6~1&F%Kk3rvu$#`h;Lmvi<F()e4)K?KyUPjV_JM)%kp4)9DjxFmq;&rE#*
z6)PtPFGoER#2X_$J%WLO0Zt-%c6K%b0XB<V#F-i?q(M|e>AI0}M-3J6uBa#<4x5z!
zi2_K_AFcjAj?*8pRM<VY#_|5Np3+)aSbTpgkAa4P!6YnPuOj6%{gLmoY+}otmwd4P
ziK(otEE_j>&xEP|^+Kf1dv$X-T=Y+@TbqzaCY9R7_^#MVu9W|H167!v?xVj)G3R|>
zzsf<l8yOiP5Rn9Qis0AW_7-FZ^JM7y`};BR@oyr~Zr;q?6?yuTSv8#(#j-a(+@!KM
zkwG3|M8F6E_wN1sELz7WPoA)GaCCi%A>%XaKp=JB)YKHx^5+JfKMjkB$ebSA2<kui
zdXI0yCeZ88FPi@%D`)FLGrmeqeT4JCBhY*|9hAbR<gaGI)oL7bE@8SPJzd@OiYMak
zzcK4w=Hp@88M(Ode*OA|iH(hlK&~9vy&_i%$!EM^2KXGt?<y!NW}@1i?Jf2V4c+(j
z6nwxaB}HRyZa!IKjiartO-M@{U#ef(H9SlJPZkXj4DwCfK{Pft(#y!qf4l@Bu?MGf
zym5PR@i`pTrJaWP9<Vf8CMNhVIz#ZNgw5ufy`DklE!mkjf`eKVLF*D2Z;Tl^k|<X5
ze@Zvn>WW1wBoh%4WlQ<jPYEl#Lk0u)J=@|dpp5j2Eo-^{synkSW&f=*H103)uv$Hb
zg)ASptoi+HE0amUXS>drQJXA->DG`z;EQcV3JQvrfWPi_#}E>w2lx612L+8)s_n-(
z@M*+9_MC8-`nI?(%Dq0$EZRTYUzYS-*KDm+D=k+`F6#J@0A83@%stF@IJd4ib^5$(
zmT&Is{;$5->WMUDYI0`j+hh_ENiz*RCjHaA#l1USH?VneEAC;as-SSzaFUP$IQrb+
zD__Zr?OJjn`&Z=yL~@hqL#B0(Q40%Z;DBbDaTyc@%+r`aM>Hn=7xbjJ+V|TZC!A32
zgVqaG_G8k1R;pSx|I>o;4^)D9r{cD`)m~gf(b}7wh7<H*Rhqig*QBJq!Bfrn4Af69
zW!hvPI|kt9w6wTlAr20IcyFOufAj)T#F(+&z{sP4i}IcF-d0}lZMnzK(K1MrqR`9`
zn)oz94qJX<uDS=KKUI2qzmE;v64Ts6L!gsv3Vk#oEh;;#dmuO4W2IojlAHT1R(w{g
zNwuS35{t>{NeW@S3Mj%?a_>+%oF7~3-g`HMP2BYygc4_Zb4u=4yeY)2b929DNhgoE
z>dJ(t41+><U(_J>D=J$3kcV|tn6|BQjd&`=U2l~WpWNV!MmRLz_vm_er&0+MgH?lz
zYU<VF^9>SiRM(P1pEz#poq3A4HJSDN4Ag0{eUusM=8`0Xm(gbEy!9I##9jNK2Zh7u
z*~e)u(XuiBRj`9b{L!y7peVTP;Vn$*M(cITnUhUewW{^{7n(KJ;+~blc$6TMA`u%x
z^YPz=kmnQgMV`yes6&{4$4MB%0@H5~r$60~t@fgk6XmB!`d=c#{~jFvfAK84A(<wq
zhkdjVdc%nylh|)D5VOyTsq`&KS;6~H&l$wA-nsMBzzOG5z0>;lx63X@i;kr#&P5{|
zMgf6=i)(APTiRjhHMO;FD_=>;9R9qAY`J%EP;=rOmebeQcMn`_-SN<!K14@%_YFwh
z)m{``s9(N(X>?zCId;0dvcj?!#@qkxTZLQe;QxBPOltkcw4)-#K_Nb>G>L;0HQoH`
zP8~qQ-@kvSr?$4V@Pf!W+8i5*(0j59CG~7({wjjyVd}lgiFs{9ZwW?+nfmhbhmF=!
zen<B#Eb{NqfTo}xmO7=*_1_hn4ZgmFn|txp7gCB|eU5aXIFJ-ZCZ^IdA2+w>DJi$w
z{;p<mY`s^_2;CTYKR?|$ISJQL1-Qg8&23=QLmko46G!ECw5}y8A<;cGMF9Y<x5~Vm
z*Rltf^U;(jHV#fTu-8|wU(dN4ddn~l3=d-{e*|DR?F1C~c|rogtCD#tawr1}D=X+Z
z753j8G9${$$_(U3?F94Ryg`&3)YTLZAyc>+?_=GOvM05wGQ-(ow_uODO7u!gob<J|
zLxIozTj2@rL{b<4JF{-RG(|H|LQVcH5(IaEXvMI#{d9divF<I#$`MB^MHzf`n5Q-X
zro0na)_xC_i*8eT<HwIA2qb+<263i@gviu*6u38$#p)CJ)a>QvW=zCME6cXG!XquM
z=f%ZrXBQXUGc!~glKW_In<$9={r&Y{trDT3p$mWhB#@Z~5FvPj{+)3!B|z2x=rDnQ
z{dYJRfdH)V8JKY-l$q{{2{O=W7`~Ur{4uw=<R&VNi2xlz(xqo-$LctKFKA+7a(3E&
zjRzd!?EKtfq2qZ`X@Y~pA)v$Fm4P%qAcT&yjYNnl$0>eXD&axh`JsW-$+kcVh|&Gc
z(#o!}u`y4_*Cv6-dRErf=D>80?I&pa#N3SAgDy3VjA8+;FTKwT3jOp+LfCOK1isqr
z&#%_AKf%{HpyvUmy#bMXc9?gKTks>wrS0!cpE)nGtAn)mH^_M3-|qy@q^0eCx#Lwg
zHw+bW%RlmHCCxNf%4e6F3q3?jOKY&d-&|Xp_y#JfC;+WwEBN>(VAS@RJpj!7{QUS?
zSi<@E_>T7X-*%b-h3@Sg85oEGc@I(;Nn9GuI#F+vlJaqJ#Q|<z*&Hi{V5RW$_ZQ&d
zNx1pqd1dPf<;C%qQZkaeqWrgrl^Ln<8yiJO_}~EU$BFzZ_G<cx!_(3M7HeXX2ZZ`^
zC_2uAWSt__MF?Ki1~CZ<0dN+E4bFuCcZTz1G?KF=efbOW^Y8BZCriS;wf{R9s2!JN
zh1QDi-vjHIO=T68X0GArj*ffZvP2S~7_Lm!+BVq^(;^v8tKTuBvW=A$A>!in&oEpG
z2(wfmKY0NMSjvF0Qjm8B)=w?)Y*1jhs;q3#b0+_O48SI>t;@mV@TRuPGA<F3iKWBc
zNV*_13yY;k4!J%J?-*oLGc)ZCf&dmzHn^Bl#wq5Cx`jfO2I``!s%izD5(*lcA*j%P
zzP=giuiy-Oe0{~v+&`2hGBPod*3{I5<k9Bl3{dz7h?o@jjy6U-y}VYyikyvT$Y_lS
zrlzJQ|66%ij*Fg5EntId>bpW(>y$jEVeoM5wiN(BKxUGG=YsuP1S&b|y#Sh$+tDbL
zBO)UYMcV)3DfeR6%<N=i;^Mw5E#;Jwlw4n2lyz}&!KW5Yggy#$Fjfsn{3Pc2XUlj1
z+H{{<f}Ww~w~G2eP+ME8*1%<0A4?#8_GaoLV++S4a6Vnura^;i=6^?a8|6{`zoEKC
z+UPVZC%Vme)15{rg`K9+lFyDSgOLYPK|$f(h+x28C&pNP;8uCV9>o14|IMev&J!LM
z8$S!#?%q{^m8~#oeF^vY*5}VJz50!*T2{ouzrTl=SXdw24WZ+}ZPJ2?K$38S24|<{
zayV7cP2%&H0eM{Uhbm?6+lh^}_1l&fYHsccnUKZ3#qRalCINg}$*8}FYfRwDJ3BiO
zArN*Wmv_`M!?14MF$10aee0N<-wHEii!}#w?9Y)AHCDYxk8Zzw`O<ZN={_zwFX9%f
zx&nZ6WL1IlPx<!k+ahn5?5dSv54P3mj}dWHB1>cXruP*T!k*4$xwJ)}&Ii*0`KzdL
z0<ycG5d81Pu*|h2t=~Gs+1c4+aIeg33UhD|ahDgT`cL$yG!UAanjsK*BMMg_vt8G6
zd@@_}n%YEz{xwdux!i@)1YIv)wa0W~?r5-~y+~l4ntBt00}b8y+OC#H!kb=5Xv~ul
zk5-Z#EL6IX!)>TcYOFJ`21!|2G3)DgBb);NE3N-su>2e4P#u<0JM~ge0<)Ow0z&%V
zUbjKo&{TV{%+H@cktJ%@cP*zV7|hcbxV;1>rFh*>!ve#SFXCw=mH>*>+tCf>WZ&}g
z->&Z6yF8s=PSKD?alO?0iG%{_qHc^KTa}Wqzmy2q%~AI4={g)H#aLeC-f8L2OJtva
zOY++I84g!?bb9(;{k^4?6*Jz=8v_FaV$jM06oK^VNLkNkd2^=D!8VgK^FP6I?Ef}c
zX81c0@L(kyp{%H&;Ciw>Wi!Lv4}e0ua>4@;Mv+*g|87(7=(nMP*Y=rAS>j$CbZ|eE
z7bTG0vV|NTy%wucQHrO23+GLKFljD+O~K5JUcc<ImP7lfAVD1z7IDaiz_6hf{p+T?
z>VRG#Foqx9-7jFltRQiGnArLYvLlt0l+@;rZ3WNZ@g>w;)|5+;t9*O$so@+6{lXWJ
z<$zo(yN{LVQHy)p#qH>|ef3=I3g_4oQd<Uu@4Nn;K}RCB1Wd)?(2%vSuW#$L1AeAq
z;@pF8(aivn4rW~1t<}}zpBh6o0jQyztg4~02K^1LX1XUnP<bxST_@>F696p*9gpd^
zY*l<}beP~S-5vNLv_@Y_AjTTxW|=6YkAGTXEe}q1`R`g@Z|$&jj8=i-R5SGt+&-~=
z9AGX-J2MmG)`C%UZT3@yaJU|*tJix`<WnShERn%K&j43D87sb+eT1|lmdXD~I2|5&
zSV1QYTy_mo>#2FM_^HjCvpJjAZMoSrArM3i$XS3u?<cib{Awd#VZ9wLe>KmbW0B;e
zOX^jZKde@0s`E)qN;2Ou7HpDhmaqJ}h*nVk(2acD_q3*wWn`&QnSJ)H;9Xyzcgbm^
z)Sr)rpS2g63nQ+*-fj{ZPAosj9Ewu?CpWT}`EwDYkoOKpuBmo+>6T&%kE3y#UHa2c
zVz?axnGxoQH&Jhex%(IUqRKK}zFd10M~)+>gRQP9s)`pQ9{eH)hpeP|KIg8ZJ-8!-
z`p=@oJU7lrNxou<axMjL$&KAJoLIAC?#ukJ;kIqAduH<ENP-{ryX+!rl!&3-Gh4m%
z=3^Hp!nn<*$IYZ0d+)T*sGe86{EkSM4tY4jYbBq4{xgC_oEfXe#&OztH&l)dk@nR~
z_s!3HY(_Wtnsvl}84G-sHlc8}5|FliSU{A5GI(PlZYxcA?(D2Yvtz<RevIC5bZs3j
zp!#X`Had;A=Ea|W%y85~a~9Go7vtjQ=~u^CX4An_=;~)o&uzUzsD=h52J8m?;2lj*
z-DdH^%@=qIYO>hhpoTo};CSzTH<>8&Sc>dng9Xhm^gTlaC43+TKV_|WQ%!ru2+8eC
z96kj7g6bP|p+@B>p*TJBlGx8_jaTIS7Z)fCs^PwBn&VCnL(4K|c;y1+8Br#bjD?s4
ziA%>5!fphcn;q5$y)(ctyBT62)9{2{mo1!UB2M!nv!Z4u0WBjiJ#u>01QQQ?Ya()K
zSo5o_3})+J1G18F)buBYuaaEvRJ~D-X~t7doO*uDG&X@q9#t#gN7WT4X?$h*HY|N-
zJ$4c=+(D#LKk>(7oh16&TQa6;p3B99#U#><Nm{$1Ve^4q_`;mK!op0sb3&}lsG<cZ
z10RAYvMwck*bA!f(97Dej>l_asVpKech=sgWJv_ZJy?k~N8oaEKgev!LaDDf^ya@5
z_~pWUg7ScCY;P|@^O%fg@22ae4|73v5tFQql3;kdtnB*`0`b7O4>)8TPCHDSH8EYh
zg_;ZRszf+)jklbYXG@BoNxykISwIqGMbVYttt*Wvqj|e}uX{%G`_s%8?J3>g;`|Z<
zULv++Bnw03w{%|*hhz{xl*z&OM|{i|h^PowD4Z@<h!oioIEjpSj4)kUTaJd8DZj>h
zAS8sZ6C9+cBZz{<k8#kevEk&}Wvgko{BChk$oy-G>4djL=IvowdTI2k;q?eNs>l*;
z!wF{QKI(7373zP!UKBw8h`zVitm)M=E+qD{c#c{wT;omEOg~wY!#P`NaMio2*uf;R
z^f-CF+|`Ih1UKrW3`^?ibn_i0!n!PT-ATNq5%r3*^03E;jIygC!uWc=>gwe9;fLZh
z#6`W;k>w6Gwj)boFR^D(9CwfK7|HPU>e>h7Cd1G&UKkt}H?O{vXA9BAJF_s5{8Q_t
zcEZMys}VYhA0C&3zd&&CHgzZkzP<7N(#E1nfXaf&P?VCebWvLaywbv6l8LlBspIQ0
z6R+VfsUHE*tm<r)kt3xb2`UJ&R98P^v=@2dWSk-u^>PjOz9VW?Kw$BC3|#0PS#PRm
z!C@Tk9K9|N0yM%~b!05*3@1jj?|(T=VE%<t<!D@dURu6I<ds7INv({c@MR7suL=sg
zO844`Pi<wngMEC_7dQOq2HCrbgtc`1O5Rx%bn>lfWZtOjIA))lHIK{THQYsC_E``Q
z5ral#C6A_?Y0bqblICpc)iqhT1Y=RF={jt+sssAQg@iD4mK!lUh|wik8Ek^B6uh%2
z>E!i!cpTAr(?9p+$sBH<$V2?JC@+W+Yi%i&#MN^vkLJbpIqMj*vdITY_uP1(i=C&m
zvq}iJ@cRKNY2<6PT%FHWSbP^OOf@sJXXMTGj?rAq5x2<eq;*-Qn~REgr6bf$Odj7b
zOJ-yokJp`nMY0pc;@A57<`>$6TOqIg4(4mKt<18g$OPzTF7=#MS@p4u_D+qL+R``-
zjv!=Y8m0DWNqY#%Tcve(s=d_4_YP+lFc69y;k^^_nt3zLcigs^`@;H%nQHM=%&9|u
z#GlY#i+z?x-7D6{^f^je+ffKr)pc7Q;bx096_E?H*vh2rj@6j#T92jC#B3@zE%efa
zzG`Nkl8pn(ztqpq{PX0`|Hd6kpd8&K<RC+lpoPm7&{m7-HAEE2F7|sdjrP`ae_*f)
z_?Akl_!)J*h>6x%LYt<}OD!K*PxN$>{j}|wNE93Kt%(F(2}fh?Kvi`s&iDMEQPxqz
zl^`X_Og7&!ry;iLYT06{y}q%BabNXg+E#hdmme4kk|h7)#BpatjdJR})VlnBe+@Fv
z)ix4A9oAXA)?%=MKy)(JHqJl!ZpywL9-5aD@s`*kUPIBUi(jOLRf{NPB3?HOUZH05
zxjKhv@<zv#r{wj*s@BMF4CH6Lm8$g;vbrjIi+XsR&hnXrVVY+xMP6+!(WJ&bC7KA8
zs5xoqueFxp=~W`0siADW|8fY8*Z11GlAkE!CUM?`P~I%3s|bSK$=`U880}|BR<cTT
z#u|kOANH|)E2B9}7IDH!-!My&;E1U+RbQbj$c4rKgMLeX4E6q9?T(od??a9H5=)i4
zfAp}UDfe$ZR}zuRub3>kZ7u<u&<P=egVKT<9;^|wT&vc44P~crWbq-wRx`pJ>fu;X
zg{&X}F-+N%;pkP~IO7bt&Y~P%%d~Gto~!jLj1B^4XG}vG15&}Uw)=-nvUi-Pnl<Z4
zusuks-3_R(9d|C(=7vyIy2&&}%{;sN8X`;N9RBDCx<H>-fIsm3hzMaY-5ejmf8x(=
zRJX%7z7fo6vaoWiX?!wLeJww>{Ym|+h^~i|hr_R%UoK%gY`@1c@`rJpWhdjXf<$@;
zMd0!qI+;at)?4Dv(Z8tJs#PK`yINT^A0aercZ13vydTL40(rh$??n^eH8qYN#gPpp
z2?;2m0cw6<=JMzkK%;G|Eph7T{|8p}9~7^Dh0L2nLV^l9CEb(NmQKbhDPV*NDoo1%
z?z|Gu!H1DD0j}$#5e*odk$dm}v)OaQ!l2!2>k;4-OXvgY?dD}?;}(*fA8lApS3q0n
zwlQ`JJY#EX3z(~vA(Dmid2HXdZcvakm`JlNe&?yKa2&UT-^wxdELdtIZ=O=Z6h`!`
zS0p1fMS88GCow#2_vGYIPqsgthi^cy@ND4)fh)L7j;-K-`%2U@K`mdsr>0T^DZhhg
zhS4DVAN5`0Rtl>Km4^>yiTzsJrkz05+5N~z2UL|M`Z6Zw?Zj5;Tmmx;T>-SxTfP)j
zlYjb@-Qc60xmFguw79rx+gLF{`n-5!4ak&HqbmxSt+IM!=)JUE>`F+UuNO>y^5OXk
z!%nNKHqEVI{wIOun}D@m_r$w4bmk>r*xa06xQOY20^1v_$OOJK%%%MjFbHYm_0<KR
z^;eR{rlv($-?R0C1kJ~fF`@I6m`E5)CqoOYOc7wx-l&cSN+Yc#PwNpeBO~MYPd+Xn
zdM$x<!1PQ+Obkv0E(LPphOKZ9=7W}kuP^A}){v7r00|1f8^FtYmcGR7pDia?0+?cB
zXO{(IfTV^nRy8rb3je1C4zFQ8h$<;52|4B^eX%V-E#Zv|bAM<d_5-P+&-Und8<+88
zfw(CvD<l6Ibh%}k<xD5#Cn$Zka05m~F<>01(x)A10$~hBQA>*m0wPpmxA6vaWXpXd
z^7s369!fmY)kP~LF$uo(8qAfVf~ldXg!U`x-!P_04n6G0Z2@AdLs^mU-Z8^17QoP%
zsOLH%EE{40OeHTl?mD<`SnWNaT2wHD(u4G~;GUPkQQQYJ0T6fp3z?}|XDIr!!y%FV
zy>0>+8!~O9r~o8r`z^cEp|Uk1%`}JtI$xshzoVvvfpQXnRrt4|5iAEF4S}E$_v`?u
zXKR1DYW*+(?8me9w~-6m+p!ma+S{jf_HJ_-m@R#dK7+V-TT!``j;sbp|EKMO8-|i1
z0OVQjEp&?d>9!qCj5GIb&-NuT!F@dkR}VY}0}S^KW$3^!KF6TF2SlN!rUv=ZFf_>k
zvtfz_M6BxB2-m=)pRmW!+FAgATwGk-0VL}lF)c0a`b+~4a6PnSScysSz5pxv0?u4p
z&X!{I?0upC4^bEay)1fOUcxkPWBwT%H9r8lE9}3A2E3a5jyaI$34#l8Z@w)MdC-1C
z)K66a&p_hNdKi>+o9Q@SaDfvdCod0&V;|bOZvkW++sg||``SP4HK?->A1^n|N|o^5
zj)J?!S7Arax%r>&hHGPk&lem*Z-VQF+d~pLH=xrC(D_UU8jYZb@n4vzdi>E&>-FVF
zmw8%1>76inRSjg#alVZPrU&I=((twZrgOH4hnt)1{rlll!sTz>kB-l`DsMDOzgHrj
z54v!wd!GbO`*EWy1E3Q-w~O8cIwdnRv)5j5_*%b|d?`<+ueF2$4_?YRSNG;CS!^<H
zqmchVC)MC0TLAYJ{pdpWiJMI!YmJvZv80SfM@L6NKxZAfSHRrU@BD@_RLw_^B4AqM
zEgT`_%0rf@f|&sYB_(~|X`f|g>3;E<j}et^=h*PBX8@1XwxqBBc~FbGzA;Gj_4i-i
z@1^Tiq6-XzzH(Q0cfq%lx!GA)z)2iiNQ@K6<|v<QFbxwadl0e+1V2B&D>!E`tz-by
zW#Qnf-ue!3Tn?NvyU}jjg)>Bi8E`-VPJHNtt*5_YkduiQI}P;FkSQ#{j)TEfG%%q2
z<+sH}LQ2{>GI9%wN8Sf1kHI=Dgu1#qOaTfx<w0U>E-$k7P|uT&gZU6MK+$${&2<~5
zFzA+)kr5pmyJ_knX4Oad(S8gYy2};bfHWo&b8?JV=8?D?37TOPkUkn{3xkx@T>g33
zF|@bh|DK;O!G0obH8P!G&;<~}Fhz(qHZoOjnO<YVlp7M$kc+y~1GT@VXJf;Jra;#V
z0_mu;vuFPRMG4j+XXXCw`m}dL8i4s0e3*!0VrE8z9Lxs&jHRU|UfXZfp6lOHfd9f<
zdKY00>J>elP&;lANFv+3Z}Rg|p=FPpfWfDej%^FPK)qLI?a_91?r^mJ;|6rF^~Qa6
zXDJ~1KI}J36q4lnZL<Gcrn@foHuUuLtn-3}?*d{JFXS-ZF))C`&CRW+7~CcN`<6vk
z67aS2viA1toZ}psuLA=wQc`s4F!o+^>c5%TQk(FE(a*Oq`Jt%-W8*}ybtS^)1PF-v
zM$Zl6mX?-<ogF6w4dOH&Q$;8s;@;bjE0ME#w?a1D;|-gNN<Wa2kU%$^4o*U;&zwwf
zmBpsSpO#yXPsh86`58Ts9h4Hc*2+qkx*bUHZW}*YV64~d-`T#<ugZhhy;<yqlmV@}
zPEM%B`%6=+-$q7ir|Iy`B~A`mH3eTHLj=Yq$i+R`U?|VYIG!+0PSL6%0|1!?)X;iv
z`6xveBnbJRM!m#pZ0?ANkO9Mo7d-wEM}~;$VUQh<wacupg`xixw2WmP72_%|y#Mlp
f3Yfk7*C^qdDP{MXPCMa8DG<u{)fFn_%tHSMCT*^X

diff --git a/docs/manual/classes.html b/docs/manual/classes.html
deleted file mode 100644
index 10facbc..0000000
--- a/docs/manual/classes.html
+++ /dev/null
@@ -1,143 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Class Index</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('classes.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Class Index</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="qindex"><a class="qindex" href="#letter_A">A</a>&#160;|&#160;<a class="qindex" href="#letter_B">B</a>&#160;|&#160;<a class="qindex" href="#letter_C">C</a>&#160;|&#160;<a class="qindex" href="#letter_E">E</a>&#160;|&#160;<a class="qindex" href="#letter_K">K</a>&#160;|&#160;<a class="qindex" href="#letter_N">N</a>&#160;|&#160;<a class="qindex" href="#letter_P">P</a>&#160;|&#160;<a class="qindex" href="#letter_S">S</a>&#160;|&#160;<a class="qindex" href="#letter_T">T</a></div>
-<div class="classindex">
-<dl class="classindex even">
-<dt class="alphachar"><a id="letter_A" name="letter_A">A</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_a2_d_e.html">A2DE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_a_o_d_e.html">AODE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html">AODELd</a> (bayesnet)</dd></dl>
-<dl class="classindex odd">
-<dt class="alphachar"><a id="letter_B" name="letter_B">B</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_base_classifier.html">BaseClassifier</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_boost.html">Boost</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html">BoostA2DE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html">BoostAODE</a> (bayesnet)</dd></dl>
-<dl class="classindex even">
-<dt class="alphachar"><a id="letter_C" name="letter_C">C</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_classifier.html">Classifier</a> (bayesnet)</dd></dl>
-<dl class="classindex odd">
-<dt class="alphachar"><a id="letter_E" name="letter_E">E</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_ensemble.html">Ensemble</a> (bayesnet)</dd></dl>
-<dl class="classindex even">
-<dt class="alphachar"><a id="letter_K" name="letter_K">K</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_k_d_b.html">KDB</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_k_d_b_ld.html">KDBLd</a> (bayesnet)</dd></dl>
-<dl class="classindex odd">
-<dt class="alphachar"><a id="letter_N" name="letter_N">N</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_network.html">Network</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_node.html">Node</a> (bayesnet)</dd></dl>
-<dl class="classindex even">
-<dt class="alphachar"><a id="letter_P" name="letter_P">P</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_proposal.html">Proposal</a> (bayesnet)</dd></dl>
-<dl class="classindex odd">
-<dt class="alphachar"><a id="letter_S" name="letter_S">S</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_s_pn_d_e.html">SPnDE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html">SPODE</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html">SPODELd</a> (bayesnet)</dd></dl>
-<dl class="classindex even">
-<dt class="alphachar"><a id="letter_T" name="letter_T">T</a></dt>
-<dd><a class="el" href="classbayesnet_1_1_t_a_n.html">TAN</a> (bayesnet)</dd><dd><a class="el" href="classbayesnet_1_1_t_a_n_ld.html">TANLd</a> (bayesnet)</dd></dl>
-</div>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/clipboard.js b/docs/manual/clipboard.js
deleted file mode 100644
index 42c1fb0..0000000
--- a/docs/manual/clipboard.js
+++ /dev/null
@@ -1,61 +0,0 @@
-/**
-
-The code below is based on the Doxygen Awesome project, see
-https://github.com/jothepro/doxygen-awesome-css
-
-MIT License
-
-Copyright (c) 2021 - 2022 jothepro
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-*/
-
-let clipboard_title = "Copy to clipboard"
-let clipboard_icon = `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="24" height="24"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M16 1H4c-1.1 0-2 .9-2 2v14h2V3h12V1zm3 4H8c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h11c1.1 0 2-.9 2-2V7c0-1.1-.9-2-2-2zm0 16H8V7h11v14z"/></svg>`
-let clipboard_successIcon = `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="24" height="24"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M9 16.17L4.83 12l-1.42 1.41L9 19 21 7l-1.41-1.41L9 16.17z"/></svg>`
-let clipboard_successDuration = 1000
-
-$(function() {
-  if(navigator.clipboard) {
-    const fragments = document.getElementsByClassName("fragment")
-    for(const fragment of fragments) {
-      const clipboard_div = document.createElement("div")
-      clipboard_div.classList.add("clipboard")
-      clipboard_div.innerHTML = clipboard_icon
-      clipboard_div.title = clipboard_title
-      $(clipboard_div).click(function() {
-        const content = this.parentNode.cloneNode(true)
-        // filter out line number and folded fragments from file listings
-        content.querySelectorAll(".lineno, .ttc, .foldclosed").forEach((node) => { node.remove() })
-        let text = content.textContent
-        // remove trailing newlines and trailing spaces from empty lines
-        text = text.replace(/^\s*\n/gm,'\n').replace(/\n*$/,'')
-        navigator.clipboard.writeText(text);
-        this.classList.add("success")
-        this.innerHTML = clipboard_successIcon
-        window.setTimeout(() => { // switch back to normal icon after timeout
-            this.classList.remove("success")
-            this.innerHTML = clipboard_icon
-        }, clipboard_successDuration);
-      })
-      fragment.insertBefore(clipboard_div, fragment.firstChild)
-    }
-  }
-})
diff --git a/docs/manual/closed.png b/docs/manual/closed.png
deleted file mode 100644
index 98cc2c909da37a6df914fbf67780eebd99c597f5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 132
zcmeAS@N?(olHy`uVBq!ia0vp^oFL4>1|%O$WD@{V-kvUwAr*{o@8<G4C~~x2bkCl7
zlF9slZh~6z%aUT|WfKm3{P*dDAfv<6>{^CZMh(5KoB^r_<4^zF@3)Cp&&t3hdujKf
f*?bjBoY!V+E))@{xMcbjXe@)LtDnm{r-UW|*e5JT

diff --git a/docs/manual/cookie.js b/docs/manual/cookie.js
deleted file mode 100644
index 53ad21d..0000000
--- a/docs/manual/cookie.js
+++ /dev/null
@@ -1,58 +0,0 @@
-/*!
- Cookie helper functions
- Copyright (c) 2023 Dimitri van Heesch
- Released under MIT license.
-*/
-let Cookie = {
-  cookie_namespace: 'doxygen_',
-
-  readSetting(cookie,defVal) {
-    if (window.chrome) {
-      const val = localStorage.getItem(this.cookie_namespace+cookie) ||
-                  sessionStorage.getItem(this.cookie_namespace+cookie);
-      if (val) return val;
-    } else {
-      let myCookie = this.cookie_namespace+cookie+"=";
-      if (document.cookie) {
-        const index = document.cookie.indexOf(myCookie);
-        if (index != -1) {
-          const valStart = index + myCookie.length;
-          let valEnd = document.cookie.indexOf(";", valStart);
-          if (valEnd == -1) {
-            valEnd = document.cookie.length;
-          }
-          return document.cookie.substring(valStart, valEnd);
-        }
-      }
-    }
-    return defVal;
-  },
-
-  writeSetting(cookie,val,days=10*365) { // default days='forever', 0=session cookie, -1=delete
-    if (window.chrome) {
-      if (days==0) {
-        sessionStorage.setItem(this.cookie_namespace+cookie,val);
-      } else {
-        localStorage.setItem(this.cookie_namespace+cookie,val);
-      }
-    } else {
-      let date = new Date();
-      date.setTime(date.getTime()+(days*24*60*60*1000));
-      const expiration = days!=0 ? "expires="+date.toGMTString()+";" : "";
-      document.cookie = this.cookie_namespace + cookie + "=" +
-                        val + "; SameSite=Lax;" + expiration + "path=/";
-    }
-  },
-
-  eraseSetting(cookie) {
-    if (window.chrome) {
-      if (localStorage.getItem(this.cookie_namespace+cookie)) {
-        localStorage.removeItem(this.cookie_namespace+cookie);
-      } else if (sessionStorage.getItem(this.cookie_namespace+cookie)) {
-        sessionStorage.removeItem(this.cookie_namespace+cookie);
-      }
-    } else {
-      this.writeSetting(cookie,'',-1);
-    }
-  },
-}
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html
deleted file mode 100644
index 9824342..0000000
--- a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.html
+++ /dev/null
@@ -1,155 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/ensembles Directory Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('dir_2f68445c4ac4316280c650d0a13b2741.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">ensembles Directory Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Directory dependency graph for ensembles:</div>
-<div class="dyncontent">
-<div class="center"><img src="dir_2f68445c4ac4316280c650d0a13b2741_dep.png" border="0" usemap="#adir__2f68445c4ac4316280c650d0a13b2741__dep" alt="/Users/rmontanana/Code/BayesNet/bayesnet/ensembles"/></div>
-<map name="adir__2f68445c4ac4316280c650d0a13b2741__dep" id="adir__2f68445c4ac4316280c650d0a13b2741__dep">
-<area shape="rect" href="dir_2f68445c4ac4316280c650d0a13b2741.html" title="ensembles" alt="" coords="27,52,112,78"/>
-<area shape="rect" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,123,89"/>
-</map>
-</div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
-Files</h2></td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a2_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>A2DE.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a2_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>A2DE.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODE.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODE.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODELd.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_a_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>AODELd.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Boost.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Boost.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a2_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostA2DE.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a2_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostA2DE.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostAODE.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_boost_a_o_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BoostAODE.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_ensemble_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Ensemble.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_ensemble_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Ensemble.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js
deleted file mode 100644
index d44bdc7..0000000
--- a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741.js
+++ /dev/null
@@ -1,17 +0,0 @@
-var dir_2f68445c4ac4316280c650d0a13b2741 =
-[
-    [ "A2DE.cc", "_a2_d_e_8cc_source.html", null ],
-    [ "A2DE.h", "_a2_d_e_8h_source.html", null ],
-    [ "AODE.cc", "_a_o_d_e_8cc_source.html", null ],
-    [ "AODE.h", "_a_o_d_e_8h_source.html", null ],
-    [ "AODELd.cc", "_a_o_d_e_ld_8cc_source.html", null ],
-    [ "AODELd.h", "_a_o_d_e_ld_8h_source.html", null ],
-    [ "Boost.cc", "_boost_8cc_source.html", null ],
-    [ "Boost.h", "_boost_8h_source.html", null ],
-    [ "BoostA2DE.cc", "_boost_a2_d_e_8cc_source.html", null ],
-    [ "BoostA2DE.h", "_boost_a2_d_e_8h_source.html", null ],
-    [ "BoostAODE.cc", "_boost_a_o_d_e_8cc_source.html", null ],
-    [ "BoostAODE.h", "_boost_a_o_d_e_8h_source.html", null ],
-    [ "Ensemble.cc", "_ensemble_8cc_source.html", null ],
-    [ "Ensemble.h", "_ensemble_8h_source.html", null ]
-];
\ No newline at end of file
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map
deleted file mode 100644
index b78928c..0000000
--- a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.map
+++ /dev/null
@@ -1,4 +0,0 @@
-<map id="/Users/rmontanana/Code/BayesNet/bayesnet/ensembles" name="/Users/rmontanana/Code/BayesNet/bayesnet/ensembles">
-<area shape="rect" id="node1" href="dir_2f68445c4ac4316280c650d0a13b2741.html" title="ensembles" alt="" coords="27,52,112,78"/>
-<area shape="rect" id="clust1" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,123,89"/>
-</map>
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5 b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5
deleted file mode 100644
index 8dd543c..0000000
--- a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.md5
+++ /dev/null
@@ -1 +0,0 @@
-6cc09d9126554d4a21b3538ccfb3d762
\ No newline at end of file
diff --git a/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.png b/docs/manual/dir_2f68445c4ac4316280c650d0a13b2741_dep.png
deleted file mode 100644
index 8f3e6435e76d2f3f4ddf870498f4cf5159cf56c3..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2616
zcmY*bcRU+f6i#_XDXra-J}n+?#j3`rP_4aHjM_6|6sZx^h&^i4#ty1R%#s=*ln$y$
zs`jYeAgXGFTFpy;@2~f}zkAL<_nz;&=iYPAmt<n3&CV*o3IG7ub#*jM={}i0Jy@9N
zmi75(B;7GN>uYNOXn#gYXJs}3aBfpq<DOY?;pW#++h;Jo?(KPlSJAJ9bnnHQT;ydj
z!5MHi$2YUVgkuvu4mK%nKJ9t=c{xKZNZcT+^y@l1yJmBrX&-z^NgH*_g78m?X*ZeO
zMD41N+;PIjb=h4a8>4^H?x|O9-YSHoTu3@5Fv5wE7w@xNi~YaR$QcQM{ajmHQ(}s7
zN_h*lClQHr;>+H0bB;2#v&~+XnEMb-i+_@hDwD&$jVbIztKT<N#b8>VN0(_2rll7Z
zM&cW9b@}(LZVqXd4U58HFz;K+-3(sYu-)9M$Iu9ct+QTlSp;<wJ4Pt3!$@-Uds2aD
zvWa0<c|qc(JGBN46FJu0@5*s}BEXq1-x@YIme<D@gYI92^9^%kf$oEAvglz~;$q_i
z$E|sI`HLO<m*V8}^mE<Jn_OYAx<Veoc`L660pvXod7qO>G5^5ws*i#nho)d#uz*CU
zk2)AUW@c%b7gpQU#1+%?`A4p~x%nFPNd91h`h-}h>W#G3*Jm>~ub6PYNyhs>zb!A{
z5*nV?jm;`A$LCGqFv6}nfO}`UAP5Jp=4O7tuT`S-rSK7iRyt5`E#nNxTJb_;f>0sR
zw>ZxuWq5XWFz{N`%Svy?1-0K1y;^fR4?n6gUD$K^Frc5>zu#wRDdYU`dYKl72;_ER
z`0+jif9rbyt?Om2zF2U^-5BO0Sy?v*I^(CZzLyp9ad0AHeosU7bVa?O)2HYIofG{K
zsao$!Mf&<@8?$4WcS5|z^Z;mSo57Q_(x$<L6g#}b_98QCk&eE!RGE?4m0D3D2Jl0|
zp$?X$&DK5>o6sl^-ED(>U|-|XE#%f=zGQ*?PEY(@sBKs@xWA@<>KLpk{wesRfBw~8
z`2cOa4N)3TAgBN#eksyOGUDXDEb<Y_ECnxd;1GPUIiOwqh&;D`FtgV@gUO>bjI5v3
zB`uouGyMEM8?yJ~Yr$})OX3?itMZ!@<|myP>J7ofWaE+-gu>;%r)$H@{5*Vo7rFiU
zhlV6qz7v_QN(M?~J1?&-l6&_D&*uvWhIo?YE}dt3a`0nF1zM4niD6}83=9kmd$kyT
zQ{rZ@+di<RJbcbmQXgGc0yn-;FZ7tPOiR<$%&Y`Bk~U{k48#t*zo?}XLOt7<Amv0x
zsx6b87S*SYS|#0^ty_Fa3!PN2&z{Y(+UM0n$IJnH2!9czAH)M|gFi&O-;y&8**Z-J
z{QBMD?CIroS%KVZv1`lEN9-=SN60RG+p$&aOn;2A@$rodaUTo_%HzKvzP`T8-a$b@
zbn?6|ca$sj&^tT0+hFh_g~Hlh8guyT_+XWOH})YRHyqr)as92z6Dip6<^&z#`K1%G
z^ZC5khu%dpnK=1afpOv6X6h<<0<nPL6d3w|>dq-v(f78KtTZkX_A}r)5EV7Gw<pFQ
zKy!D$j~KL3<y~x3$va7hUjoxi4dC!G`IjT>!fb45$Z>0sr;m@D;m!;Icqbq-WzTGh
zo9l+8WNA*NcnmW$V@6(PZ_qriAS&vCOW#OYf}pfizVXtihkG;s1?3~lR=?jTA@aV{
zi9L=bwYAT%N!e3JQ*QfPwD`*-T#7+IfcEzGv&hi%Ox#=O2)!F(ku}K@U@+KjdnZ82
ztHFv~Q64dVgY7{XigxCE|5rnI1YlSp-D$<Jtc@0xfEOW4MJL3{fWl-%;^VT~H|72g
zTbm%f4n8Ap{5#U32BzoCbyoWg>?nmfWt)M4A;gO+Kvq>wUgYda0dg8WeE64KF=nW)
z^=nip2@@Ol*R5+$K<SX%F`CIa^fcDDX_e;!8nc)44p+(^&Ao2acc`gfc=o~gPjEU-
zdrMn6z_Vvz#trtEJ<1qcB(&0KX?f&As+RhvcGoW>P+dbB!I042Zq3TZy0)<#Q#{|?
zd(6(n*!Pt6u(32MF|oAQTa(>ic5!Lm0Rn*_9yfk9SA+B1RT={i{L|GHA+{wXbG2lQ
zbb54XYHqIS)bn7xK0N1}G_7Z)O@GThLa%ICMpW^oy4P)fZW%Eg?s0o7anszw;_b=m
z>d#3RV=ivF;kkiEK`i{iHAvWXW!(N`=w+lh74)`3)GF4~2uc$EPNEo#S`;?;qEsSZ
zF%F?sF+NG-8X4X?Rbu_ZX4$UmV(l=M<h5L46+F|Gvs$-_Wvs9oqdA!a9mBC4XVKTW
zWz+8DJV(ofj&rx<R?lp2-HkM_nV5E!Qo;pr8(EQ-=22<|PvwUrXouwa(TNFcL<D>k
zHwm$N(VHgjF&*B5*@wgTYsIfiNH(q)HnE=@dx_DkBHuo>iaqU@7o~If1N%DL)VG5|
zxyeUFr3s;GTequ0*-!YCO(@=$HZ}v(VBe9?3&Gyq?V2jdcza*RuHu4nRfL{wK|z5{
z(PaSvfhxHXDRpdXQT`#QZe&>TQB&^5fE%{B0I!NbJ0BeeHyza}u&|wTHCbo|*)%22
zOQVuX01gbt$3IU9O1+ADotvY;nDW3oHxp{%4=4jn<YW8|Y7~wKS6Uh+qRo+cV6G}L
zZ#z`2;IKOLE}{SK!|n=6Ed5`uc=3Y4<cD`9`4Wg)<8Q`cMS4*oU4V`7(F<P~eP8%y
zLGx&D{oNHB4R9)wu9}w9s?ff6uC2Y@@8n_THooG?3|5ti_ml$6RQFN0+=mIO_$iiY
zbF4NLN6c2=eM*m$bJXoU(;oM8Bl?n1Ah$!rcF>q?cvu(!@fbguF6I8&aoI&6HJ&e=
z&9S}JPBR2gaWS#36!HHk#i|!RC1rO#pR!sp%3R+mi=uqe8YI&JRhY^HttlXwF-M47
z<7mzhke<masUA=9b4bth(y~)Z?eJwPh$9b#K5EJ<qwg(~HI$v0G1`<3c<oRGMoXc*
zi^1~*R*rV|GX}Z_OZ7=Xt?L8w2*-=Ot2VT_0J~32%bSB&l!x}Cpn|)U8q}0q8WdiW
z+Ik=a0!;6>>{6*-VB%~TdVIYKC~u{Pmo893A9V+cRw(_Umq*Hv2;3K@(tA4=&RMOr
za<(2}@Tb!kI4q!_qhAFXr`1)SPGK9MG}()7wxq10BD?WnC2tHU^k7A&X|jix3cBLc
zCpD8{G9(5^tJ>QSh8uOcwMqmB2Twkds>%9hs-ln3sao2d{Tj*zMiRi#bIc1F^rDgN
z2mcWsn)K56VyFm1@i__YgscBoOBTNBA))@di5<A1Qzs`*nqAkDv72$I@-65obX;6J
zKh(B2XeT&ku3D0%)_^aj=ap&ASblA=YS=GF?3cf>^v3sGHB@4`14;P5y!uaV#T*Gu
Y7ybUL1C$4$OF@9HrjbVdeaGm30r?d&T>t<8

diff --git a/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html b/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html
deleted file mode 100644
index be6d54d..0000000
--- a/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.html
+++ /dev/null
@@ -1,129 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet Directory Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('dir_40070fdff85d618b4d1d3ab4ac4f79bb.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">bayesnet Directory Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="subdirs" name="subdirs"></a>
-Directories</h2></td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="iconfclosed"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="iconfclosed"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="iconfclosed"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table><table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
-Files</h2></td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_base_classifier_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>BaseClassifier.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js b/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js
deleted file mode 100644
index 4a6e185..0000000
--- a/docs/manual/dir_40070fdff85d618b4d1d3ab4ac4f79bb.js
+++ /dev/null
@@ -1,7 +0,0 @@
-var dir_40070fdff85d618b4d1d3ab4ac4f79bb =
-[
-    [ "classifiers", "dir_520a649ed2b1c3b658a695aeefe46a5a.html", "dir_520a649ed2b1c3b658a695aeefe46a5a" ],
-    [ "ensembles", "dir_2f68445c4ac4316280c650d0a13b2741.html", "dir_2f68445c4ac4316280c650d0a13b2741" ],
-    [ "network", "dir_efcd97b18bba957e8e278307db4f845a.html", "dir_efcd97b18bba957e8e278307db4f845a" ],
-    [ "BaseClassifier.h", "_base_classifier_8h_source.html", null ]
-];
\ No newline at end of file
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html
deleted file mode 100644
index 65dc0cf..0000000
--- a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.html
+++ /dev/null
@@ -1,163 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/classifiers Directory Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('dir_520a649ed2b1c3b658a695aeefe46a5a.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">classifiers Directory Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Directory dependency graph for classifiers:</div>
-<div class="dyncontent">
-<div class="center"><img src="dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png" border="0" usemap="#adir__520a649ed2b1c3b658a695aeefe46a5a__dep" alt="/Users/rmontanana/Code/BayesNet/bayesnet/classifiers"/></div>
-<map name="adir__520a649ed2b1c3b658a695aeefe46a5a__dep" id="adir__520a649ed2b1c3b658a695aeefe46a5a__dep">
-<area shape="rect" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html" title="classifiers" alt="" coords="27,52,107,78"/>
-<area shape="rect" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,117,89"/>
-</map>
-</div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
-Files</h2></td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_classifier_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Classifier.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_classifier_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Classifier.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDB.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDB.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDBLd.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_k_d_b_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>KDBLd.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_proposal_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Proposal.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_proposal_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Proposal.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_pn_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPnDE.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_pn_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPnDE.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODE.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODE.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODELd.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_s_p_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>SPODELd.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TAN.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TAN.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_ld_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TANLd.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_t_a_n_ld_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>TANLd.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html">classifiers</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js
deleted file mode 100644
index 9cdb471..0000000
--- a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a.js
+++ /dev/null
@@ -1,21 +0,0 @@
-var dir_520a649ed2b1c3b658a695aeefe46a5a =
-[
-    [ "Classifier.cc", "_classifier_8cc_source.html", null ],
-    [ "Classifier.h", "_classifier_8h_source.html", null ],
-    [ "KDB.cc", "_k_d_b_8cc_source.html", null ],
-    [ "KDB.h", "_k_d_b_8h_source.html", null ],
-    [ "KDBLd.cc", "_k_d_b_ld_8cc_source.html", null ],
-    [ "KDBLd.h", "_k_d_b_ld_8h_source.html", null ],
-    [ "Proposal.cc", "_proposal_8cc_source.html", null ],
-    [ "Proposal.h", "_proposal_8h_source.html", null ],
-    [ "SPnDE.cc", "_s_pn_d_e_8cc_source.html", null ],
-    [ "SPnDE.h", "_s_pn_d_e_8h_source.html", null ],
-    [ "SPODE.cc", "_s_p_o_d_e_8cc_source.html", null ],
-    [ "SPODE.h", "_s_p_o_d_e_8h_source.html", null ],
-    [ "SPODELd.cc", "_s_p_o_d_e_ld_8cc_source.html", null ],
-    [ "SPODELd.h", "_s_p_o_d_e_ld_8h_source.html", null ],
-    [ "TAN.cc", "_t_a_n_8cc_source.html", null ],
-    [ "TAN.h", "_t_a_n_8h_source.html", null ],
-    [ "TANLd.cc", "_t_a_n_ld_8cc_source.html", null ],
-    [ "TANLd.h", "_t_a_n_ld_8h_source.html", null ]
-];
\ No newline at end of file
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map
deleted file mode 100644
index 1ebf8c8..0000000
--- a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.map
+++ /dev/null
@@ -1,4 +0,0 @@
-<map id="/Users/rmontanana/Code/BayesNet/bayesnet/classifiers" name="/Users/rmontanana/Code/BayesNet/bayesnet/classifiers">
-<area shape="rect" id="node1" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html" title="classifiers" alt="" coords="27,52,107,78"/>
-<area shape="rect" id="clust1" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,117,89"/>
-</map>
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5 b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5
deleted file mode 100644
index 0c97c91..0000000
--- a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.md5
+++ /dev/null
@@ -1 +0,0 @@
-ddf4d873601a2bc95e40d58d84328f38
\ No newline at end of file
diff --git a/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png b/docs/manual/dir_520a649ed2b1c3b658a695aeefe46a5a_dep.png
deleted file mode 100644
index b3bde0e7451b3386b5f9c0787686183853dbd0ba..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2868
zcmV-43(NG0P)<h;3K|Lk000e1NJLTq004ym003zS1^@s66kOoN00006VoOIv0RI60
z0RN!9r;`8x3h7BiK~#90?cI5NO=lXw@!yRti9ZA(ix44_$cEY?=txl+ii9N8t{u}>
zEydKJMd^rXm5$n#X{oAODvN|Enh;A{Gp%imBnS~(Bq6wwP44{RlS_J%o8{)-+?zh%
zzjDtx@AJO7c|PYo=jJ`n1tEkGLI@#*5JCtcgb+dqA%qa(cTHu;-~j;vGc_7b4;_ar
zkB^W4QQ8}(eO2j|6n*;i@mu=QrzhRqJxbjl9krLlix<jlKV;}|%4#d^^=YpOYieV?
ztIUSw&^IY|_3-Z%@|W4~=@Uj&JN=TvqB@5nYTk+C2@DS!xKp1Pk`zKgl0qm*QV0b}
z3ZWoLAr$mV3YAKA(%r+ey2etfl$0xcuwb4+`w%7Rl@xJtaVrK739hcOlq&ts9d_*a
z+Ms<HgTLPk97{M-)5E9`vzk60K77D~2ic|W%gV|^qtR44W_ETqMMXu5?L|dJq~Ezy
zX1ga(o{*hg`dCVfdGB5p`T6;k9$#ho_w3D{h}bZFVwgozJSi+>`qZ~@Z|6)KX9vcO
z8G%~;2!J0BAEbNN4s`G0gGakoygzR?029ZL;+<)ewJ{0{3u*7(n&_wq0M4E{O;5kh
zc)Gjb>f%WFl1192TJ}*moqRp$*2Nbuk2d`H;|bvDROal|oJ||o;nvm(R~JVH1@`6P
z!v{KJ{-IZQ?xv?RW>hHOZ2!t=?^{)wMN(vCWua23IDg?XG5Zg5?(7*pTe$*&4;L?B
z&fNJVT~6c3v7h;B>zAB8bDE&w5cWk!P*6|+K*G^@9_Kvf<(C6ds~<6PL@<Mg25~7R
zjibj;v3utZwr=?+DJfT2zit%?Cr*)kC5=D7`8JCdKKmH|(W8f)Jb9dR7cOz|Z~~XF
zTw;H0jLw)xj{QWl=FQo*eHX8e8e1dpVP%*_QUJ`DHJc_)n$X>^2f@QaIDF`Pii(Q(
zeA5<!f`^ltk-_Cl$uwwCpQNNj0s{w9Sonm5qwxSlMeb$rkRTdZS`r(xkAnPs-kLlO
zjYdP0CQTR?62`vhNYH4=$;n~smM_T4%w*d1nM6b#C^41~7KdYP-H?u*UZ7hyKa!IZ
zb;mR_b!&P66=84hfU|RJ?Q2gjANGE?8w(2yVq^EQ`SbNySXkiY?Tba7Isi1Vv}DN8
zV4@=T^5P!?h}jp(<}bDZaP4XeYPFhPJvx`@r@f~aE^XSfX5A*%u35<k3+CbB;mO?h
z7BJ|QA==}bHEX8**~-d_g8Y1)G0lxxBt=HXT?z^cs8_EZ0O!x0!O5v5XV08w>5@ep
ziaUmvmk$7)J3hNb4jb_*uT2=u;2}X+T3XSw*NXtyHfx4W<Hnr*Z!#*?(|;6a+`WrB
zN6nqvxAE)Y&#>X4WMpKp<%><soH2#I{rYR;s#MQTu*KIQx?-9ey{3;oefsz%C0?wq
zv6QK>u#olZRs(SU{8{!zM-n_dl<U`1X=G!AtE(FTG5eypdNoD+hw|^)n+6Rmng9MA
zLc>O4Ve$0W4S1;^_wV0l*UlYiG#b*<t`inIl)Za)ar*Qxj2=0hd-v{PYimpYmjlt1
za(D7ux?%#<t6PtU4<8!h?WuP9UQ^79iriBz1JR{r%T^peb`%dcX98aAL6@%G7&~qv
z0|E!)*3KPYFIPJGdJq}0hw&3$XW@dm+`4rW3kwTELPwBz@qdgOJx&|X*|{~Jty<5l
z8B^)t?M9bQUU+(XGkMB%`t=`xm9;gV?ycz?(396DjOP6Xi?Ot{(m6(5F#(1Q4QBG2
ze`43p9R_``s)JcAvblBZCiUvp!}hs39UwLJ8jTv+(5O)(0B+yDg`J%}DwT>&8`lvX
z9Z6*L0Y$u=95qRai8Qyf!_l#YcDqKS;ZkxExp{ebd;4gogNi6CCOrN8qG7{^)U9i{
zS^LEC1ePxgCq6#D%70t4xTYxP;NV#5_ExQ&OT4zXcOW}Eo20~xY}l}t510JC)ON*p
z5Wl5Tsc7fsUZpXX6%)`Vt*JAcThhu(OG{<WUuQCD(whVZ4yx(lm=&`+Q&fhRmk)>I
zj@R@s%u=mAQ;4dQq!0=wzn(%EpUJPM5XPtXV}qIZA6I@6gD^087)VqzNeZDLNg)&@
zDTIO~g-|ey^%TOm%wj!-FfN%sYMJV&Phph*l1`uc25Hw*jnP%Dw{q16oLaUrXdiN>
z5DG?JPhn+cO{W(+mw%urAvN`yQO~qSO^T+rw#<50o*=KRZ+C2Crx72rmgz$%$a)H)
zAnPfFLakl6`+Mczvp4=dW5b%-SXViQTvG@IvrCEx53-pz=UsAh9~&foW@aYy=DbT@
zULNrDb})R&A|fNc<KL%#);`l(o0(lwsMTsVtY1xDo?%J_<>%*d=JYRUG*2HYo<8+0
ze*NV?v~_hQGc$waq(p=CYf4NyDT<1UxOwwNg^n$&=9RA6Ri*87aBw8%z+vqJ#W!!>
zVASYwczgRYAaEedKV7AWQ&!z9fV|vX@^W*_9g8V3*`$b#iN>w16MkJg;^XPcn$;^y
zJ+7>pS5S8CDqZ`oUAu})D|^)HM+_d=pOh<?d1u;W)~@-CojbNOEa=%Ih-KBdx_$c=
zj&?R||9UH4?b~qd*ioHhF*PQ+p5n%hG$y@1o{v9SN$QQetX#E@h4bff^=gXZ*s^L~
z>8f3&YhO`Ok+uR~bnHP~+O%c;#?4HAdm8x#`Pu?(x@uf$G#c{q^4Rv(mu%d$1t+JL
zI_qee8k1a45wUj<Eu5SfHarx7m-_bS%dOvNE7=s&Rr5+`?WzjYwJJ|VYFy1<_#rR#
z?N9ys_4V%0m`rl|NKL(ln_J0mym@8tP+GKbDzUA&=2b@@cl!73&APR#wKcDbYga|=
z-HliKHuU!I%Ate*DtBK+JzwLhdzTJ$@6v&9zxldEEelUi?`rF>qH68;eKc*-l$0x%
zOKjWx`Fh1gXK~G|?ceU<*RvPdwtXiJts4SpYgZlm;TRW_Qwbgx!ps>{$jyDMb6-V0
zU*qcBg-e{faEZ7hCt0>!dF@jj{TY)<CdD5I4JIk+BKu>bfv2^s)~sGh^X7IXj?-21
zN>}Zws@Ao7UU@aHo>v|H8IwtV%<bdjOZd`dOdLNNo5qc?v1!bbr5`KG0u2Zp$cA;R
z@%3`W+PWcKyLH#rygGR3sJ3>Mr<XU`_wQ?KSM}>ZfR+FFq||*CRb1n0#`L%O+u{YJ
zr{5tYbR?6fOeZrlqr|b*(VsDyWKsZ3dSfzU$4?|ZJ-tNvA_oUYGVeb-?MB6Xuc&!7
z`}TX-+1V4b|8S|btLoILQ|3Mwmo_Eh|8(k%_UAEUCopF01nujP&=CwA^opX!)o;hB
zt3Oj@vPl78X=$aXXH}ZgYF-s9t9F$>b*-MKtHzZf`ZESuPaza!J%vy(>FGmMo~)-3
z24U1Q#p9eDP8?4#W|y^su^*%|YEoooX0Uu&xG}pFRUp%cP%z4w;<eY`K&>{v@4YZZ
zO>J!r-iKaEQM{hQ&D}%iaUD9A|KW}>9VWS+Lewm|rl@6V?RpAPvm_~mf+U4dkfaa_
zk`zKgug@t|D%Hv6&F$Sll~lZKcu-)7t~Prj4(!&oU)t-}e)+O+o$V_^ucU~Ji(3&F
z7q?=@J5#jV0s;cUbhT+}W2y6YN!lB>y%0hOA%qY@2qA<JLI@#*5JCtc%JqNJ6NhVZ
SFPV@40000<MNUMnLSTZzhK)M_

diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html
deleted file mode 100644
index 78d5ffc..0000000
--- a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.html
+++ /dev/null
@@ -1,135 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: /Users/rmontanana/Code/BayesNet/bayesnet/network Directory Reference</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('dir_efcd97b18bba957e8e278307db4f845a.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">network Directory Reference</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="dynheader">
-Directory dependency graph for network:</div>
-<div class="dyncontent">
-<div class="center"><img src="dir_efcd97b18bba957e8e278307db4f845a_dep.png" border="0" usemap="#adir__efcd97b18bba957e8e278307db4f845a__dep" alt="/Users/rmontanana/Code/BayesNet/bayesnet/network"/></div>
-<map name="adir__efcd97b18bba957e8e278307db4f845a__dep" id="adir__efcd97b18bba957e8e278307db4f845a__dep">
-<area shape="rect" href="dir_efcd97b18bba957e8e278307db4f845a.html" title="network" alt="" coords="26,52,94,78"/>
-<area shape="rect" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,104,89"/>
-</map>
-</div>
-<table class="memberdecls">
-<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="files" name="files"></a>
-Files</h2></td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_network_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Network.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_network_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Network.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_node_8cc_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Node.cc</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="_node_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><b>Node.h</b></td></tr>
-<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
-</table>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html">network</a></li>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js
deleted file mode 100644
index 6c973b6..0000000
--- a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a.js
+++ /dev/null
@@ -1,7 +0,0 @@
-var dir_efcd97b18bba957e8e278307db4f845a =
-[
-    [ "Network.cc", "_network_8cc_source.html", null ],
-    [ "Network.h", "_network_8h_source.html", null ],
-    [ "Node.cc", "_node_8cc_source.html", null ],
-    [ "Node.h", "_node_8h_source.html", null ]
-];
\ No newline at end of file
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map
deleted file mode 100644
index 203b233..0000000
--- a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.map
+++ /dev/null
@@ -1,4 +0,0 @@
-<map id="/Users/rmontanana/Code/BayesNet/bayesnet/network" name="/Users/rmontanana/Code/BayesNet/bayesnet/network">
-<area shape="rect" id="node1" href="dir_efcd97b18bba957e8e278307db4f845a.html" title="network" alt="" coords="26,52,94,78"/>
-<area shape="rect" id="clust1" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" title="bayesnet" alt="" coords="16,16,104,89"/>
-</map>
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5 b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5
deleted file mode 100644
index 25c4a94..0000000
--- a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.md5
+++ /dev/null
@@ -1 +0,0 @@
-12407aa49bded8b8b8761369fc40201b
\ No newline at end of file
diff --git a/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.png b/docs/manual/dir_efcd97b18bba957e8e278307db4f845a_dep.png
deleted file mode 100644
index c421b297314d8f32d80f2f9a4c3cb23471361fb7..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2778
zcmZWr2{aU38=fMQzHCuL+l*omM&hHPgi)GAN<@We5VCKLZHO!(#uhV7+4r#%vJR5T
zGS-=7%ht$Pvm47lo%8?y`Tz5s``-JWd(J)Y^WOX1``kB7Ur(Fo*y&>c0DuR1Tk8Sa
zd$POjQ7-nlvdEZcJ1(@2wie*vPfM-Oi30$R;gDJy4?T$sqh3!R&YW&q8GqZJ?vH|0
z2SKtgzdG|KTsk!{GwecYb{2uol6NXd$P>>tbEqB68I1fY-cfL(EYFs!?D5O`aIuId
zQjgS4w3MupSwL`h&oh2&;ixa0EP5w#RgH0-F;Qpzd<@P9IU4v6YewAZO(0{j*u>ny
zIRO=;ZHTDoM77Phug|Nktt~!})*fUrCu?iVvwm+;+g7jpQelTh`bA2&%CJ4FDUYm3
zH>wErudn)0F))qg=H^c8DjGP96|BRww)ct_!+a1amo*iR$Dp!ARmE=OZkKe1adr^@
z>w=Ex@o;UarwDtC8>i`K!V8|Rb02ET(gAr%+h>irOt(=?f{Wxd7lX~Xqj0zb=R2rq
zHBmsdk$%(SXzf~5|JW^WuV|t>slK*1XgXxJtSot?&LrQ%#KlGaMdhbKc^w^{yyD_U
z=K9W#chN~9#o?l&qNu(H3)tRM<(ZlIxw$!`&0<+3l<ZMiS+~~gc6HM&6^G#asrGkV
zc(^OTPsKZE0s)jCaRcQ0ZPeAciU3v_T|Z|)AUpH`jW#(sl8m3-17xPCeU>a1tyWR(
zqnApYp%wS;2Gkuaa*Y7<g@3~Nl?}mB;Cn|-!$7<*KL$Asz3I1jx#lrXnSQkr|88_Z
zq~B-FxyZb>&7d5yy*T{-ma3y{%-z6<h=}`=LYBmO^$~Ig5qYCa0<7%&rNPlbxZ@G&
z0z(t_CD#8LBg)|qctt8d+G4}Nz<@*j0s64vJHss&Q2+k@ZW2M`E<q)7HPID$7fx=t
zUOQB}Ck-?G)Sexg5*zOw=mv7zW~KX=JYP>SuS!Tvj7dmnCX_Sau8LuQfv9fF>cnn5
z8>X#|mf+Md+7VZt;+SZW8)<ps`1032D`OKA`4Kx#jef+{ovCMYOy<z(hWEA_WTBI%
zTqkznot<|n6bclAI#F5aAtnw5@Si(LiEpyS6O!E^u!N+!7ayMNUU*S?T3T8<JG2v`
z1U)wJ;*zv9J4d_lh;Yx9Eb)1q+CZk9Q{kw3j^2Bb`9*TcGc%%UVxelb7NG(IJngYG
z#sLf+OJWo`a=h8~1K-Jt<p83$U767MJK~Oe!1Vc^LjVOgx5GJH0&H+&C-X^k#@279
z6JTp<Q|IBshnKxuqoKntE*>qVR14n*d7_-!0luo)DE&cA*<|Ep=na8f6KY%At<`VM
z&4KKU-^*v+xxx*TsngTd<vFMNk`pr3X*)mf9pkqn<Wy|lf?J_f*YE&P?LThZNb16G
zi&51SLZt%wFDqA}24+hE?v<r!9T#!Y`@?Xd@DOBqGn1Z|OG<^@02d2fB%D8c=h-vS
z;YMC-iZoThFE9mKq`AWQLGv7?oh+Aa)zY41GHbO`wo&yVHefKgm^d$k)wE$>#4_6{
zYk;L?rr;UDoBGa@kBXkQmFa+XHarePU`k2j{*9UN*^And<jzi_p%YBPy-g<mYl!LZ
zbIJi{lpRYjRL6lAf7jGJ!V9RpYkyNuRPl&~mj_BoNu}A*i?+6bskGlPmfk1yVRyw}
zw@pk48c{&?mo$^dTV(Z!wR$eO$f)oh1+CX+_47!ip4QCttEF!Op1kMU`rQ}`@~9Jf
zdqk008fY`%Qu>DW<t4%q67LfYvoS+9N1|y8l<u#V8^oF<PhQ^o?dg798SKmvu60av
z|0vHR`o4_czBqJCw>8~B;^})Ig)xlKpA%JXp`jfe)5>w|oH+G(&@1VUrR-h2J}Zcb
z9trYi$5u&l&t#ex1ppG|4g#{QKr*tjhuW#sj3-r#l0wIttL(*~(C}P50`s|mM1n}D
zo*8x=ogG@e-^F}UnY7Aqt@dCk?XmcJj@N9a*Wi1Wx2xS4-FW=0|GGkJP@`oLInsM=
zHgDa-$0rm@t;H;9*xE|LhfM6pc8@S=jTx1uQ>qiHQbNae;PCNB;N%Eyn|(l*<^yot
zV`=5hD;?(M&CS6PM~~u1#zterDDTOI6F-$+WvoaojPf9TQmLpks|(~4(By5DhAN^H
z$i!MBdL#2`)N$_3&QB4+X7Ce;ivL$q_Dsik%C|&KUQ7WjGoov>O4c0aXRi{mQj+rg
zKGpWElS2Z1Kvo(Lx%%3wJ9m{#qnWxG)d;)A#m2pVhrEA3t@oq#0H<ofQ{$cQEm+V5
zaLEbsw>ZUSSP)SW6t;~b#C7elV+#BS*;(3DTGBIhF036!b}*I5VC(5}Ve+s{LmE<z
z+(wE^Gb*TYow-uwXlQHd$D+wn27lOui3!^0s)(eK1L{^cQ~>$;mrDHyLOkqR6o*BA
zd{0cl<s5R}3VofsGc={_cRXri)TDIRkgd{xsI#tu`PSM29bwq3Ucc#3>}ZJ}&&B#{
z?H#o*mZu=hZ4_dFBFtRSaYeT{V<!_+*uqbb_i69kjbuxCh$pYO+|nhsdQZermEzv5
z0uOYllcBF&d}}-e*_01gIjweeJJ@rNM}>ywWaF4L658LAQy`|aYfLeRZ-@$HK9Ojl
z`d^T^xBqqFN!4v6a&qX%UzDqHdR|^4VP7U!&M6-f6clX0eTyh8lojNF9^%2k^!NxG
z_VyJ}TK*tYSb2=kz@R^*A-GV?m-!rx=Bq-w^4yF?xMw8HSsvd!+v-f!*k#q4K3-Zf
z%zIi|S~^2NAVS2YVvzSZ`}~{KqjIuh@zJkR`~f}AODp`;G~MsthgJ3Uql>*3=f0b-
zR_Eu(f^lbWrRhhDl{Q;rV%J84LvrIL7~rOR+PG-K_L=kNKX|g<UR*K0W@}6F-Tie7
zKq@4`KYU+<eSWL(>)X(J-|7B=f%s~K_E5PGNIFsOGiHR7R9Lt^HvSRvOTjpqMx)?=
z+=y{7cd#m9@!!?eUD?>MV*f#FUZmpe@K*<|U*JAUuMwe>07)sSiDf<@;XG-tZHM>V
z-I9t5OLFtgZ|h~&GrzMO>gbzG0XoihOv|_Dm<U6|lNN2B9GBhkpuxexqzMsJNiDE|
zPO=^|C|`ERv|v-iR|IznaJ#7P2FZ7K)OKeTE;NpRiD|(k;-U{Dd3&Rxu#%s8*UD!T
zmKTz~utkNSxXoSYab>?|;<}m79*+uU@wj6Alj_ILi1Lxn&bJ3Mpz+EshPfvphtbWL
z3|_su_OkWs*JC!4QY-X^s|8QnyQKTBf!QBUWxDJ2&FY0~&eqNuZ5TS{ltw^^ipZt`
z=jXn@6BwLm()34Vd9aKdTFuy|mqS(SugzOx#y{Wgz&_>X_T)B7#$T}5w><Th_+y@Q
zx2*h1WDO<sgK)Z4x1{xQ%f7`X%j%7HueW%$i<&Y0peZ;csaumt@l!MINvY=gpEBv+
zPd!M44YMSt()S<^&JV)+_D$#2bQP9+4_+x|^Y^k#*1TjH-fO1gBVnDmQ3zUCSh%j4
z_i*Du!C)S{GV5AIO?h|8f)+fgK%5%<|FCMl1E3%O@$FAa$~V}>Dgb#?Ppe2175FbA
Cp^;Gl

diff --git a/docs/manual/doc.svg b/docs/manual/doc.svg
deleted file mode 100644
index 0b928a5..0000000
--- a/docs/manual/doc.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" width="16" height="24" viewBox="0 0 80 60" id="doc" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
-<g style="fill:#4665A2">
-<path d="m 14,-1.1445312 c -2.824372,0 -5.1445313,2.320159 -5.1445312,5.1445312 v 72 c 0,2.824372 2.3201592,5.144531 5.1445312,5.144531 h 52 c 2.824372,0 5.144531,-2.320159 5.144531,-5.144531 V 23.699219 a 1.1447968,1.1447968 0 0 0 -0.01563,-0.1875 C 70.977847,22.605363 70.406495,21.99048 70.007812,21.591797 L 48.208984,-0.20898438 C 47.606104,-0.81186474 46.804652,-1.1445313 46,-1.1445312 Z m 1.144531,6.2890624 H 42.855469 V 24 c 0,1.724372 1.420159,3.144531 3.144531,3.144531 H 64.855469 V 74.855469 H 15.144531 Z m 34,4.4179688 L 60.4375,20.855469 H 49.144531 Z"/>
-</g>
-<g style="fill:#D8DFEE;stroke-width:0">
-<path d="M 3.0307167,13.993174 V 7.0307167 h 2.7576792 2.7576792 v 1.8826151 c 0,1.2578262 0.0099,1.9287572 0.029818,2.0216512 0.03884,0.181105 0.168631,0.348218 0.33827,0.43554 l 0.1355017,0.06975 1.9598092,0.0079 1.959809,0.0078 v 4.749829 4.749829 H 8 3.0307167 Z" transform="matrix(5,0,0,5,0,-30)" />
-<path d="M 9.8293515,9.0581469 V 7.9456453 l 1.1058025,1.1055492 c 0.608191,0.6080521 1.105802,1.1086775 1.105802,1.1125015 0,0.0038 -0.497611,0.007 -1.105802,0.007 H 9.8293515 Z" transform="matrix(5,0,0,5,0,-30)" />
-</g>
-</svg>
diff --git a/docs/manual/docd.svg b/docs/manual/docd.svg
deleted file mode 100644
index ac18b27..0000000
--- a/docs/manual/docd.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" width="16" height="24" viewBox="0 0 80 60" id="doc" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
-<g style="fill:#C4CFE5">
-<path d="m 14,-1.1445312 c -2.824372,0 -5.1445313,2.320159 -5.1445312,5.1445312 v 72 c 0,2.824372 2.3201592,5.144531 5.1445312,5.144531 h 52 c 2.824372,0 5.144531,-2.320159 5.144531,-5.144531 V 23.699219 a 1.1447968,1.1447968 0 0 0 -0.01563,-0.1875 C 70.977847,22.605363 70.406495,21.99048 70.007812,21.591797 L 48.208984,-0.20898438 C 47.606104,-0.81186474 46.804652,-1.1445313 46,-1.1445312 Z m 1.144531,6.2890624 H 42.855469 V 24 c 0,1.724372 1.420159,3.144531 3.144531,3.144531 H 64.855469 V 74.855469 H 15.144531 Z m 34,4.4179688 L 60.4375,20.855469 H 49.144531 Z"/>
-</g>
-<g style="fill:#4665A2;stroke-width:0">
-<path d="M 3.0307167,13.993174 V 7.0307167 h 2.7576792 2.7576792 v 1.8826151 c 0,1.2578262 0.0099,1.9287572 0.029818,2.0216512 0.03884,0.181105 0.168631,0.348218 0.33827,0.43554 l 0.1355017,0.06975 1.9598092,0.0079 1.959809,0.0078 v 4.749829 4.749829 H 8 3.0307167 Z" transform="matrix(5,0,0,5,0,-30)" />
-<path d="M 9.8293515,9.0581469 V 7.9456453 l 1.1058025,1.1055492 c 0.608191,0.6080521 1.105802,1.1086775 1.105802,1.1125015 0,0.0038 -0.497611,0.007 -1.105802,0.007 H 9.8293515 Z" transform="matrix(5,0,0,5,0,-30)" />
-</g>
-</svg>
diff --git a/docs/manual/doxygen.css b/docs/manual/doxygen.css
deleted file mode 100644
index 209912c..0000000
--- a/docs/manual/doxygen.css
+++ /dev/null
@@ -1,2244 +0,0 @@
-/* The standard CSS for doxygen 1.11.0*/
-
-html {
-/* page base colors */
---page-background-color: white;
---page-foreground-color: black;
---page-link-color: #3D578C;
---page-visited-link-color: #4665A2;
-
-/* index */
---index-odd-item-bg-color: #F8F9FC;
---index-even-item-bg-color: white;
---index-header-color: black;
---index-separator-color: #A0A0A0;
-
-/* header */
---header-background-color: #F9FAFC;
---header-separator-color: #C4CFE5;
---header-gradient-image: url('nav_h.png');
---group-header-separator-color: #879ECB;
---group-header-color: #354C7B;
---inherit-header-color: gray;
-
---footer-foreground-color: #2A3D61;
---footer-logo-width: 104px;
---citation-label-color: #334975;
---glow-color: cyan;
-
---title-background-color: white;
---title-separator-color: #5373B4;
---directory-separator-color: #9CAFD4;
---separator-color: #4A6AAA;
-
---blockquote-background-color: #F7F8FB;
---blockquote-border-color: #9CAFD4;
-
---scrollbar-thumb-color: #9CAFD4;
---scrollbar-background-color: #F9FAFC;
-
---icon-background-color: #728DC1;
---icon-foreground-color: white;
---icon-doc-image: url('doc.svg');
---icon-folder-open-image: url('folderopen.svg');
---icon-folder-closed-image: url('folderclosed.svg');
-
-/* brief member declaration list */
---memdecl-background-color: #F9FAFC;
---memdecl-separator-color: #DEE4F0;
---memdecl-foreground-color: #555;
---memdecl-template-color: #4665A2;
-
-/* detailed member list */
---memdef-border-color: #A8B8D9;
---memdef-title-background-color: #E2E8F2;
---memdef-title-gradient-image: url('nav_f.png');
---memdef-proto-background-color: #DFE5F1;
---memdef-proto-text-color: #253555;
---memdef-proto-text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
---memdef-doc-background-color: white;
---memdef-param-name-color: #602020;
---memdef-template-color: #4665A2;
-
-/* tables */
---table-cell-border-color: #2D4068;
---table-header-background-color: #374F7F;
---table-header-foreground-color: #FFFFFF;
-
-/* labels */
---label-background-color: #728DC1;
---label-left-top-border-color: #5373B4;
---label-right-bottom-border-color: #C4CFE5;
---label-foreground-color: white;
-
-/** navigation bar/tree/menu */
---nav-background-color: #F9FAFC;
---nav-foreground-color: #364D7C;
---nav-gradient-image: url('tab_b.png');
---nav-gradient-hover-image: url('tab_h.png');
---nav-gradient-active-image: url('tab_a.png');
---nav-gradient-active-image-parent: url("../tab_a.png");
---nav-separator-image: url('tab_s.png');
---nav-breadcrumb-image: url('bc_s.png');
---nav-breadcrumb-border-color: #C2CDE4;
---nav-splitbar-image: url('splitbar.png');
---nav-font-size-level1: 13px;
---nav-font-size-level2: 10px;
---nav-font-size-level3: 9px;
---nav-text-normal-color: #283A5D;
---nav-text-hover-color: white;
---nav-text-active-color: white;
---nav-text-normal-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
---nav-text-hover-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
---nav-text-active-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
---nav-menu-button-color: #364D7C;
---nav-menu-background-color: white;
---nav-menu-foreground-color: #555555;
---nav-menu-toggle-color: rgba(255, 255, 255, 0.5);
---nav-arrow-color: #9CAFD4;
---nav-arrow-selected-color: #9CAFD4;
-
-/* table of contents */
---toc-background-color: #F4F6FA;
---toc-border-color: #D8DFEE;
---toc-header-color: #4665A2;
---toc-down-arrow-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' version='1.1' height='10px' width='5px' fill='grey'><text x='0' y='5' font-size='10'>&%238595;</text></svg>");
-
-/** search field */
---search-background-color: white;
---search-foreground-color: #909090;
---search-magnification-image: url('mag.svg');
---search-magnification-select-image: url('mag_sel.svg');
---search-active-color: black;
---search-filter-background-color: #F9FAFC;
---search-filter-foreground-color: black;
---search-filter-border-color: #90A5CE;
---search-filter-highlight-text-color: white;
---search-filter-highlight-bg-color: #3D578C;
---search-results-foreground-color: #425E97;
---search-results-background-color: #EEF1F7;
---search-results-border-color: black;
---search-box-shadow: inset 0.5px 0.5px 3px 0px #555;
-
-/** code fragments */
---code-keyword-color: #008000;
---code-type-keyword-color: #604020;
---code-flow-keyword-color: #E08000;
---code-comment-color: #800000;
---code-preprocessor-color: #806020;
---code-string-literal-color: #002080;
---code-char-literal-color: #008080;
---code-xml-cdata-color: black;
---code-vhdl-digit-color: #FF00FF;
---code-vhdl-char-color: #000000;
---code-vhdl-keyword-color: #700070;
---code-vhdl-logic-color: #FF0000;
---code-link-color: #4665A2;
---code-external-link-color: #4665A2;
---fragment-foreground-color: black;
---fragment-background-color: #FBFCFD;
---fragment-border-color: #C4CFE5;
---fragment-lineno-border-color: #00FF00;
---fragment-lineno-background-color: #E8E8E8;
---fragment-lineno-foreground-color: black;
---fragment-lineno-link-fg-color: #4665A2;
---fragment-lineno-link-bg-color: #D8D8D8;
---fragment-lineno-link-hover-fg-color: #4665A2;
---fragment-lineno-link-hover-bg-color: #C8C8C8;
---fragment-copy-ok-color: #2EC82E;
---tooltip-foreground-color: black;
---tooltip-background-color: white;
---tooltip-border-color: gray;
---tooltip-doc-color: grey;
---tooltip-declaration-color: #006318;
---tooltip-link-color: #4665A2;
---tooltip-shadow: 1px 1px 7px gray;
---fold-line-color: #808080;
---fold-minus-image: url('minus.svg');
---fold-plus-image: url('plus.svg');
---fold-minus-image-relpath: url('../../minus.svg');
---fold-plus-image-relpath: url('../../plus.svg');
-
-/** font-family */
---font-family-normal: Roboto,sans-serif;
---font-family-monospace: 'JetBrains Mono',Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace,fixed;
---font-family-nav: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
---font-family-title: Tahoma,Arial,sans-serif;
---font-family-toc: Verdana,'DejaVu Sans',Geneva,sans-serif;
---font-family-search: Arial,Verdana,sans-serif;
---font-family-icon: Arial,Helvetica;
---font-family-tooltip: Roboto,sans-serif;
-
-/** special sections */
---warning-color-bg: #f8d1cc;
---warning-color-hl: #b61825;
---warning-color-text: #75070f;
---note-color-bg: #faf3d8;
---note-color-hl: #f3a600;
---note-color-text: #5f4204;
---todo-color-bg: #e4f3ff;
---todo-color-hl: #1879C4;
---todo-color-text: #274a5c;
---test-color-bg: #e8e8ff;
---test-color-hl: #3939C4;
---test-color-text: #1a1a5c;
---deprecated-color-bg: #ecf0f3;
---deprecated-color-hl: #5b6269;
---deprecated-color-text: #43454a;
---bug-color-bg: #e4dafd;
---bug-color-hl: #5b2bdd;
---bug-color-text: #2a0d72;
---invariant-color-bg: #d8f1e3;
---invariant-color-hl: #44b86f;
---invariant-color-text: #265532;
-}
-
-@media (prefers-color-scheme: dark) {
-  html:not(.dark-mode) {
-    color-scheme: dark;
-
-/* page base colors */
---page-background-color: black;
---page-foreground-color: #C9D1D9;
---page-link-color: #90A5CE;
---page-visited-link-color: #A3B4D7;
-
-/* index */
---index-odd-item-bg-color: #0B101A;
---index-even-item-bg-color: black;
---index-header-color: #C4CFE5;
---index-separator-color: #334975;
-
-/* header */
---header-background-color: #070B11;
---header-separator-color: #141C2E;
---header-gradient-image: url('nav_hd.png');
---group-header-separator-color: #283A5D;
---group-header-color: #90A5CE;
---inherit-header-color: #A0A0A0;
-
---footer-foreground-color: #5B7AB7;
---footer-logo-width: 60px;
---citation-label-color: #90A5CE;
---glow-color: cyan;
-
---title-background-color: #090D16;
---title-separator-color: #354C79;
---directory-separator-color: #283A5D;
---separator-color: #283A5D;
-
---blockquote-background-color: #101826;
---blockquote-border-color: #283A5D;
-
---scrollbar-thumb-color: #283A5D;
---scrollbar-background-color: #070B11;
-
---icon-background-color: #334975;
---icon-foreground-color: #C4CFE5;
---icon-doc-image: url('docd.svg');
---icon-folder-open-image: url('folderopend.svg');
---icon-folder-closed-image: url('folderclosedd.svg');
-
-/* brief member declaration list */
---memdecl-background-color: #0B101A;
---memdecl-separator-color: #2C3F65;
---memdecl-foreground-color: #BBB;
---memdecl-template-color: #7C95C6;
-
-/* detailed member list */
---memdef-border-color: #233250;
---memdef-title-background-color: #1B2840;
---memdef-title-gradient-image: url('nav_fd.png');
---memdef-proto-background-color: #19243A;
---memdef-proto-text-color: #9DB0D4;
---memdef-proto-text-shadow: 0px 1px 1px rgba(0, 0, 0, 0.9);
---memdef-doc-background-color: black;
---memdef-param-name-color: #D28757;
---memdef-template-color: #7C95C6;
-
-/* tables */
---table-cell-border-color: #283A5D;
---table-header-background-color: #283A5D;
---table-header-foreground-color: #C4CFE5;
-
-/* labels */
---label-background-color: #354C7B;
---label-left-top-border-color: #4665A2;
---label-right-bottom-border-color: #283A5D;
---label-foreground-color: #CCCCCC;
-
-/** navigation bar/tree/menu */
---nav-background-color: #101826;
---nav-foreground-color: #364D7C;
---nav-gradient-image: url('tab_bd.png');
---nav-gradient-hover-image: url('tab_hd.png');
---nav-gradient-active-image: url('tab_ad.png');
---nav-gradient-active-image-parent: url("../tab_ad.png");
---nav-separator-image: url('tab_sd.png');
---nav-breadcrumb-image: url('bc_sd.png');
---nav-breadcrumb-border-color: #2A3D61;
---nav-splitbar-image: url('splitbard.png');
---nav-font-size-level1: 13px;
---nav-font-size-level2: 10px;
---nav-font-size-level3: 9px;
---nav-text-normal-color: #B6C4DF;
---nav-text-hover-color: #DCE2EF;
---nav-text-active-color: #DCE2EF;
---nav-text-normal-shadow: 0px 1px 1px black;
---nav-text-hover-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
---nav-text-active-shadow: 0px 1px 1px rgba(0, 0, 0, 1.0);
---nav-menu-button-color: #B6C4DF;
---nav-menu-background-color: #05070C;
---nav-menu-foreground-color: #BBBBBB;
---nav-menu-toggle-color: rgba(255, 255, 255, 0.2);
---nav-arrow-color: #334975;
---nav-arrow-selected-color: #90A5CE;
-
-/* table of contents */
---toc-background-color: #151E30;
---toc-border-color: #202E4A;
---toc-header-color: #A3B4D7;
---toc-down-arrow-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' version='1.1' height='10px' width='5px'><text x='0' y='5' font-size='10' fill='grey'>&%238595;</text></svg>");
-
-/** search field */
---search-background-color: black;
---search-foreground-color: #C5C5C5;
---search-magnification-image: url('mag_d.svg');
---search-magnification-select-image: url('mag_seld.svg');
---search-active-color: #C5C5C5;
---search-filter-background-color: #101826;
---search-filter-foreground-color: #90A5CE;
---search-filter-border-color: #7C95C6;
---search-filter-highlight-text-color: #BCC9E2;
---search-filter-highlight-bg-color: #283A5D;
---search-results-background-color: #101826;
---search-results-foreground-color: #90A5CE;
---search-results-border-color: #7C95C6;
---search-box-shadow: inset 0.5px 0.5px 3px 0px #2F436C;
-
-/** code fragments */
---code-keyword-color: #CC99CD;
---code-type-keyword-color: #AB99CD;
---code-flow-keyword-color: #E08000;
---code-comment-color: #717790;
---code-preprocessor-color: #65CABE;
---code-string-literal-color: #7EC699;
---code-char-literal-color: #00E0F0;
---code-xml-cdata-color: #C9D1D9;
---code-vhdl-digit-color: #FF00FF;
---code-vhdl-char-color: #C0C0C0;
---code-vhdl-keyword-color: #CF53C9;
---code-vhdl-logic-color: #FF0000;
---code-link-color: #79C0FF;
---code-external-link-color: #79C0FF;
---fragment-foreground-color: #C9D1D9;
---fragment-background-color: #090D16;
---fragment-border-color: #30363D;
---fragment-lineno-border-color: #30363D;
---fragment-lineno-background-color: black;
---fragment-lineno-foreground-color: #6E7681;
---fragment-lineno-link-fg-color: #6E7681;
---fragment-lineno-link-bg-color: #303030;
---fragment-lineno-link-hover-fg-color: #8E96A1;
---fragment-lineno-link-hover-bg-color: #505050;
---fragment-copy-ok-color: #0EA80E;
---tooltip-foreground-color: #C9D1D9;
---tooltip-background-color: #202020;
---tooltip-border-color: #C9D1D9;
---tooltip-doc-color: #D9E1E9;
---tooltip-declaration-color: #20C348;
---tooltip-link-color: #79C0FF;
---tooltip-shadow: none;
---fold-line-color: #808080;
---fold-minus-image: url('minusd.svg');
---fold-plus-image: url('plusd.svg');
---fold-minus-image-relpath: url('../../minusd.svg');
---fold-plus-image-relpath: url('../../plusd.svg');
-
-/** font-family */
---font-family-normal: Roboto,sans-serif;
---font-family-monospace: 'JetBrains Mono',Consolas,Monaco,'Andale Mono','Ubuntu Mono',monospace,fixed;
---font-family-nav: 'Lucida Grande',Geneva,Helvetica,Arial,sans-serif;
---font-family-title: Tahoma,Arial,sans-serif;
---font-family-toc: Verdana,'DejaVu Sans',Geneva,sans-serif;
---font-family-search: Arial,Verdana,sans-serif;
---font-family-icon: Arial,Helvetica;
---font-family-tooltip: Roboto,sans-serif;
-
-/** special sections */
---warning-color-bg: #2e1917;
---warning-color-hl: #ad2617;
---warning-color-text: #f5b1aa;
---note-color-bg: #3b2e04;
---note-color-hl: #f1b602;
---note-color-text: #ceb670;
---todo-color-bg: #163750;
---todo-color-hl: #1982D2;
---todo-color-text: #dcf0fa;
---test-color-bg: #121258;
---test-color-hl: #4242cf;
---test-color-text: #c0c0da;
---deprecated-color-bg: #2e323b;
---deprecated-color-hl: #738396;
---deprecated-color-text: #abb0bd;
---bug-color-bg: #2a2536;
---bug-color-hl: #7661b3;
---bug-color-text: #ae9ed6;
---invariant-color-bg: #303a35;
---invariant-color-hl: #76ce96;
---invariant-color-text: #cceed5;
-}}
-body {
-    background-color: var(--page-background-color);
-    color: var(--page-foreground-color);
-}
-
-body, table, div, p, dl {
-	font-weight: 400;
-	font-size: 14px;
-	font-family: var(--font-family-normal);
-	line-height: 22px;
-}
-
-/* @group Heading Levels */
-
-.title {
-	font-family: var(--font-family-normal);
-	line-height: 28px;
-	font-size: 150%;
-	font-weight: bold;
-	margin: 10px 2px;
-}
-
-h1.groupheader {
-	font-size: 150%;
-}
-
-h2.groupheader {
-	border-bottom: 1px solid var(--group-header-separator-color);
-	color: var(--group-header-color);
-	font-size: 150%;
-	font-weight: normal;
-	margin-top: 1.75em;
-	padding-top: 8px;
-	padding-bottom: 4px;
-	width: 100%;
-}
-
-h3.groupheader {
-	font-size: 100%;
-}
-
-h1, h2, h3, h4, h5, h6 {
-	-webkit-transition: text-shadow 0.5s linear;
-	-moz-transition: text-shadow 0.5s linear;
-	-ms-transition: text-shadow 0.5s linear;
-	-o-transition: text-shadow 0.5s linear;
-	transition: text-shadow 0.5s linear;
-	margin-right: 15px;
-}
-
-h1.glow, h2.glow, h3.glow, h4.glow, h5.glow, h6.glow {
-	text-shadow: 0 0 15px var(--glow-color);
-}
-
-dt {
-	font-weight: bold;
-}
-
-p.startli, p.startdd {
-	margin-top: 2px;
-}
-
-th p.starttd, th p.intertd, th p.endtd {
-        font-size: 100%;
-        font-weight: 700;
-}
-
-p.starttd {
-	margin-top: 0px;
-}
-
-p.endli {
-	margin-bottom: 0px;
-}
-
-p.enddd {
-	margin-bottom: 4px;
-}
-
-p.endtd {
-	margin-bottom: 2px;
-}
-
-p.interli {
-}
-
-p.interdd {
-}
-
-p.intertd {
-}
-
-/* @end */
-
-caption {
-	font-weight: bold;
-}
-
-span.legend {
-	font-size: 70%;
-	text-align: center;
-}
-
-h3.version {
-	font-size: 90%;
-	text-align: center;
-}
-
-div.navtab {
-	padding-right: 15px;
-	text-align: right;
-	line-height: 110%;
-}
-
-div.navtab table {
-	border-spacing: 0;
-}
-
-td.navtab {
-	padding-right: 6px;
-	padding-left: 6px;
-}
-
-td.navtabHL {
-	background-image: var(--nav-gradient-active-image);
-	background-repeat:repeat-x;
-	padding-right: 6px;
-	padding-left: 6px;
-}
-
-td.navtabHL a, td.navtabHL a:visited {
-	color: var(--nav-text-hover-color);
-	text-shadow: var(--nav-text-hover-shadow);
-}
-
-a.navtab {
-	font-weight: bold;
-}
-
-div.qindex{
-	text-align: center;
-	width: 100%;
-	line-height: 140%;
-	font-size: 130%;
-	color: var(--index-separator-color);
-}
-
-#main-menu a:focus {
-	outline: auto;
-	z-index: 10;
-	position: relative;
-}
-
-dt.alphachar{
-	font-size: 180%;
-	font-weight: bold;
-}
-
-.alphachar a{
-	color: var(--index-header-color);
-}
-
-.alphachar a:hover, .alphachar a:visited{
-	text-decoration: none;
-}
-
-.classindex dl {
-	padding: 25px;
-	column-count:1
-}
-
-.classindex dd {
-	display:inline-block;
-	margin-left: 50px;
-	width: 90%;
-	line-height: 1.15em;
-}
-
-.classindex dl.even {
-	background-color: var(--index-even-item-bg-color);
-}
-
-.classindex dl.odd {
-	background-color: var(--index-odd-item-bg-color);
-}
-
-@media(min-width: 1120px) {
-	.classindex dl {
-		column-count:2
-	}
-}
-
-@media(min-width: 1320px) {
-	.classindex dl {
-		column-count:3
-	}
-}
-
-
-/* @group Link Styling */
-
-a {
-	color: var(--page-link-color);
-	font-weight: normal;
-	text-decoration: none;
-}
-
-.contents a:visited {
-	color: var(--page-visited-link-color);
-}
-
-a:hover {
-	text-decoration: none;
-	background:   linear-gradient(to bottom, transparent 0,transparent calc(100% - 1px), currentColor 100%);
-}
-
-a:hover > span.arrow {
-        text-decoration: none;
-        background : var(--nav-background-color);
-}
-
-a.el {
-	font-weight: bold;
-}
-
-a.elRef {
-}
-
-a.code, a.code:visited, a.line, a.line:visited {
-	color: var(--code-link-color);
-}
-
-a.codeRef, a.codeRef:visited, a.lineRef, a.lineRef:visited {
-	color: var(--code-external-link-color);
-}
-
-a.code.hl_class { /* style for links to class names in code snippets */ }
-a.code.hl_struct { /* style for links to struct names in code snippets */ }
-a.code.hl_union { /* style for links to union names in code snippets */ }
-a.code.hl_interface { /* style for links to interface names in code snippets */ }
-a.code.hl_protocol { /* style for links to protocol names in code snippets */ }
-a.code.hl_category { /* style for links to category names in code snippets */ }
-a.code.hl_exception { /* style for links to exception names in code snippets */ }
-a.code.hl_service { /* style for links to service names in code snippets */ }
-a.code.hl_singleton { /* style for links to singleton names in code snippets */ }
-a.code.hl_concept { /* style for links to concept names in code snippets */ }
-a.code.hl_namespace { /* style for links to namespace names in code snippets */ }
-a.code.hl_package { /* style for links to package names in code snippets */ }
-a.code.hl_define { /* style for links to macro names in code snippets */ }
-a.code.hl_function { /* style for links to function names in code snippets */ }
-a.code.hl_variable { /* style for links to variable names in code snippets */ }
-a.code.hl_typedef { /* style for links to typedef names in code snippets */ }
-a.code.hl_enumvalue { /* style for links to enum value names in code snippets */ }
-a.code.hl_enumeration { /* style for links to enumeration names in code snippets */ }
-a.code.hl_signal { /* style for links to Qt signal names in code snippets */ }
-a.code.hl_slot { /* style for links to Qt slot names in code snippets */ }
-a.code.hl_friend { /* style for links to friend names in code snippets */ }
-a.code.hl_dcop { /* style for links to KDE3 DCOP names in code snippets */ }
-a.code.hl_property { /* style for links to property names in code snippets */ }
-a.code.hl_event { /* style for links to event names in code snippets */ }
-a.code.hl_sequence { /* style for links to sequence names in code snippets */ }
-a.code.hl_dictionary { /* style for links to dictionary names in code snippets */ }
-
-/* @end */
-
-dl.el {
-	margin-left: -1cm;
-}
-
-ul.check {
-  list-style:none;
-  text-indent: -16px;
-  padding-left: 38px;
-}
-li.unchecked:before {
-  content: "\2610\A0";
-}
-li.checked:before {
-  content: "\2611\A0";
-}
-
-ol {
-  text-indent: 0px;
-}
-
-ul {
-  text-indent: 0px;
-  overflow: visible;
-}
-
-ul.multicol {
-        -moz-column-gap: 1em;
-        -webkit-column-gap: 1em;
-        column-gap: 1em;
-        -moz-column-count: 3;
-        -webkit-column-count: 3;
-        column-count: 3;
-        list-style-type: none;
-}
-
-#side-nav ul {
-  overflow: visible; /* reset ul rule for scroll bar in GENERATE_TREEVIEW window */
-}
-
-#main-nav ul {
-  overflow: visible; /* reset ul rule for the navigation bar drop down lists */
-}
-
-.fragment {
-  text-align: left;
-  direction: ltr;
-  overflow-x: auto;
-  overflow-y: hidden;
-  position: relative;
-  min-height: 12px;
-  margin: 10px 0px;
-  padding: 10px 10px;
-  border: 1px solid var(--fragment-border-color);
-  border-radius: 4px;
-  background-color: var(--fragment-background-color);
-  color: var(--fragment-foreground-color);
-}
-
-pre.fragment {
-  word-wrap: break-word;
-  font-size:  10pt;
-  line-height: 125%;
-  font-family: var(--font-family-monospace);
-}
-
-.clipboard {
-        width: 24px;
-        height: 24px;
-        right: 5px;
-        top: 5px;
-        opacity: 0;
-        position: absolute;
-        display: inline;
-        overflow: auto;
-        fill: var(--fragment-foreground-color);
-        justify-content: center;
-        align-items: center;
-        cursor: pointer;
-}
-
-.clipboard.success {
-        border: 1px solid var(--fragment-foreground-color);
-        border-radius: 4px;
-}
-
-.fragment:hover .clipboard, .clipboard.success {
-        opacity: .28;
-}
-
-.clipboard:hover, .clipboard.success {
-        opacity: 1 !important;
-}
-
-.clipboard:active:not([class~=success]) svg {
-        transform: scale(.91);
-}
-
-.clipboard.success svg {
-        fill: var(--fragment-copy-ok-color);
-}
-
-.clipboard.success {
-        border-color: var(--fragment-copy-ok-color);
-}
-
-div.line {
-	font-family: var(--font-family-monospace);
-        font-size: 13px;
-	min-height: 13px;
-	line-height: 1.2;
-	text-wrap: unrestricted;
-	white-space: -moz-pre-wrap; /* Moz */
-	white-space: -pre-wrap;     /* Opera 4-6 */
-	white-space: -o-pre-wrap;   /* Opera 7 */
-	white-space: pre-wrap;      /* CSS3  */
-	word-wrap: break-word;      /* IE 5.5+ */
-	text-indent: -53px;
-	padding-left: 53px;
-	padding-bottom: 0px;
-	margin: 0px;
-	-webkit-transition-property: background-color, box-shadow;
-	-webkit-transition-duration: 0.5s;
-	-moz-transition-property: background-color, box-shadow;
-	-moz-transition-duration: 0.5s;
-	-ms-transition-property: background-color, box-shadow;
-	-ms-transition-duration: 0.5s;
-	-o-transition-property: background-color, box-shadow;
-	-o-transition-duration: 0.5s;
-	transition-property: background-color, box-shadow;
-	transition-duration: 0.5s;
-}
-
-div.line:after {
-    content:"\000A";
-    white-space: pre;
-}
-
-div.line.glow {
-	background-color: var(--glow-color);
-	box-shadow: 0 0 10px var(--glow-color);
-}
-
-span.fold {
-        margin-left: 5px;
-        margin-right: 1px;
-        margin-top: 0px;
-        margin-bottom: 0px;
-        padding: 0px;
-	display: inline-block;
-	width: 12px;
-	height: 12px;
-	background-repeat:no-repeat;
-        background-position:center;
-}
-
-span.lineno {
-	padding-right: 4px;
-        margin-right: 9px;
-	text-align: right;
-	border-right: 2px solid var(--fragment-lineno-border-color);
-	color: var(--fragment-lineno-foreground-color);
-	background-color: var(--fragment-lineno-background-color);
-        white-space: pre;
-}
-span.lineno a, span.lineno a:visited {
-	color: var(--fragment-lineno-link-fg-color);
-	background-color: var(--fragment-lineno-link-bg-color);
-}
-
-span.lineno a:hover {
-	color: var(--fragment-lineno-link-hover-fg-color);
-	background-color: var(--fragment-lineno-link-hover-bg-color);
-}
-
-.lineno {
-	-webkit-touch-callout: none;
-	-webkit-user-select: none;
-	-khtml-user-select: none;
-	-moz-user-select: none;
-	-ms-user-select: none;
-	user-select: none;
-}
-
-div.classindex ul {
-        list-style: none;
-        padding-left: 0;
-}
-
-div.classindex span.ai {
-        display: inline-block;
-}
-
-div.groupHeader {
-	margin-left: 16px;
-	margin-top: 12px;
-	font-weight: bold;
-}
-
-div.groupText {
-	margin-left: 16px;
-	font-style: italic;
-}
-
-body {
-	color: var(--page-foreground-color);
-        margin: 0;
-}
-
-div.contents {
-	margin-top: 10px;
-	margin-left: 12px;
-	margin-right: 8px;
-}
-
-p.formulaDsp {
-	text-align: center;
-}
-
-img.dark-mode-visible {
-	display: none;
-}
-img.light-mode-visible {
-	display: none;
-}
-
-img.formulaInl, img.inline {
-	vertical-align: middle;
-}
-
-div.center {
-	text-align: center;
-        margin-top: 0px;
-        margin-bottom: 0px;
-        padding: 0px;
-}
-
-div.center img {
-	border: 0px;
-}
-
-address.footer {
-	text-align: right;
-	padding-right: 12px;
-}
-
-img.footer {
-	border: 0px;
-	vertical-align: middle;
-	width: var(--footer-logo-width);
-}
-
-.compoundTemplParams {
-	color: var(--memdecl-template-color);
-	font-size: 80%;
-	line-height: 120%;
-}
-
-/* @group Code Colorization */
-
-span.keyword {
-	color: var(--code-keyword-color);
-}
-
-span.keywordtype {
-	color: var(--code-type-keyword-color);
-}
-
-span.keywordflow {
-	color: var(--code-flow-keyword-color);
-}
-
-span.comment {
-	color: var(--code-comment-color);
-}
-
-span.preprocessor {
-	color: var(--code-preprocessor-color);
-}
-
-span.stringliteral {
-	color: var(--code-string-literal-color);
-}
-
-span.charliteral {
-	color: var(--code-char-literal-color);
-}
-
-span.xmlcdata {
-	color: var(--code-xml-cdata-color);
-}
-
-span.vhdldigit { 
-	color: var(--code-vhdl-digit-color);
-}
-
-span.vhdlchar { 
-	color: var(--code-vhdl-char-color);
-}
-
-span.vhdlkeyword { 
-	color: var(--code-vhdl-keyword-color);
-}
-
-span.vhdllogic { 
-	color: var(--code-vhdl-logic-color);
-}
-
-blockquote {
-        background-color: var(--blockquote-background-color);
-        border-left: 2px solid var(--blockquote-border-color);
-        margin: 0 24px 0 4px;
-        padding: 0 12px 0 16px;
-}
-
-/* @end */
-
-td.tiny {
-	font-size: 75%;
-}
-
-.dirtab {
-	padding: 4px;
-	border-collapse: collapse;
-	border: 1px solid var(--table-cell-border-color);
-}
-
-th.dirtab {
-	background-color: var(--table-header-background-color);
-	color: var(--table-header-foreground-color);
-	font-weight: bold;
-}
-
-hr {
-	height: 0px;
-	border: none;
-	border-top: 1px solid var(--separator-color);
-}
-
-hr.footer {
-	height: 1px;
-}
-
-/* @group Member Descriptions */
-
-table.memberdecls {
-	border-spacing: 0px;
-	padding: 0px;
-}
-
-.memberdecls td, .fieldtable tr {
-	-webkit-transition-property: background-color, box-shadow;
-	-webkit-transition-duration: 0.5s;
-	-moz-transition-property: background-color, box-shadow;
-	-moz-transition-duration: 0.5s;
-	-ms-transition-property: background-color, box-shadow;
-	-ms-transition-duration: 0.5s;
-	-o-transition-property: background-color, box-shadow;
-	-o-transition-duration: 0.5s;
-	transition-property: background-color, box-shadow;
-	transition-duration: 0.5s;
-}
-
-.memberdecls td.glow, .fieldtable tr.glow {
-	background-color: var(--glow-color);
-	box-shadow: 0 0 15px var(--glow-color);
-}
-
-.mdescLeft, .mdescRight,
-.memItemLeft, .memItemRight,
-.memTemplItemLeft, .memTemplItemRight, .memTemplParams {
-	background-color: var(--memdecl-background-color);
-	border: none;
-	margin: 4px;
-	padding: 1px 0 0 8px;
-}
-
-.mdescLeft, .mdescRight {
-	padding: 0px 8px 4px 8px;
-	color: var(--memdecl-foreground-color);
-}
-
-.memSeparator {
-        border-bottom: 1px solid var(--memdecl-separator-color);
-        line-height: 1px;
-        margin: 0px;
-        padding: 0px;
-}
-
-.memItemLeft, .memTemplItemLeft {
-        white-space: nowrap;
-}
-
-.memItemRight, .memTemplItemRight {
-	width: 100%;
-}
-
-.memTemplParams {
-	color: var(--memdecl-template-color);
-        white-space: nowrap;
-	font-size: 80%;
-}
-
-/* @end */
-
-/* @group Member Details */
-
-/* Styles for detailed member documentation */
-
-.memtitle {
-	padding: 8px;
-	border-top: 1px solid var(--memdef-border-color);
-	border-left: 1px solid var(--memdef-border-color);
-	border-right: 1px solid var(--memdef-border-color);
-	border-top-right-radius: 4px;
-	border-top-left-radius: 4px;
-	margin-bottom: -1px;
-	background-image: var(--memdef-title-gradient-image);
-	background-repeat: repeat-x;
-	background-color: var(--memdef-title-background-color);
-	line-height: 1.25;
-	font-weight: 300;
-	float:left;
-}
-
-.permalink
-{
-        font-size: 65%;
-        display: inline-block;
-        vertical-align: middle;
-}
-
-.memtemplate {
-	font-size: 80%;
-	color: var(--memdef-template-color);
-	font-weight: normal;
-	margin-left: 9px;
-}
-
-.mempage {
-	width: 100%;
-}
-
-.memitem {
-	padding: 0;
-	margin-bottom: 10px;
-	margin-right: 5px;
-        -webkit-transition: box-shadow 0.5s linear;
-        -moz-transition: box-shadow 0.5s linear;
-        -ms-transition: box-shadow 0.5s linear;
-        -o-transition: box-shadow 0.5s linear;
-        transition: box-shadow 0.5s linear;
-        display: table !important;
-        width: 100%;
-}
-
-.memitem.glow {
-         box-shadow: 0 0 15px var(--glow-color);
-}
-
-.memname {
-        font-weight: 400;
-        margin-left: 6px;
-}
-
-.memname td {
-	vertical-align: bottom;
-}
-
-.memproto, dl.reflist dt {
-        border-top: 1px solid var(--memdef-border-color);
-        border-left: 1px solid var(--memdef-border-color);
-        border-right: 1px solid var(--memdef-border-color);
-        padding: 6px 0px 6px 0px;
-        color: var(--memdef-proto-text-color);
-        font-weight: bold;
-        text-shadow: var(--memdef-proto-text-shadow);
-        background-color: var(--memdef-proto-background-color);
-        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
-        border-top-right-radius: 4px;
-}
-
-.overload {
-        font-family: var(--font-family-monospace);
-	font-size: 65%;
-}
-
-.memdoc, dl.reflist dd {
-        border-bottom: 1px solid var(--memdef-border-color);
-        border-left: 1px solid var(--memdef-border-color);
-        border-right: 1px solid var(--memdef-border-color);
-        padding: 6px 10px 2px 10px;
-        border-top-width: 0;
-        background-image:url('nav_g.png');
-        background-repeat:repeat-x;
-        background-color: var(--memdef-doc-background-color);
-        /* opera specific markup */
-        border-bottom-left-radius: 4px;
-        border-bottom-right-radius: 4px;
-        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
-        /* firefox specific markup */
-        -moz-border-radius-bottomleft: 4px;
-        -moz-border-radius-bottomright: 4px;
-        -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
-        /* webkit specific markup */
-        -webkit-border-bottom-left-radius: 4px;
-        -webkit-border-bottom-right-radius: 4px;
-        -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
-}
-
-dl.reflist dt {
-        padding: 5px;
-}
-
-dl.reflist dd {
-        margin: 0px 0px 10px 0px;
-        padding: 5px;
-}
-
-.paramkey {
-	text-align: right;
-}
-
-.paramtype {
-	white-space: nowrap;
-	padding: 0px;
-	padding-bottom: 1px;
-}
-
-.paramname {
-	white-space: nowrap;
-        padding: 0px;
-        padding-bottom: 1px;
-        margin-left: 2px;
-}
-
-.paramname em {
-	color: var(--memdef-param-name-color);
-	font-style: normal;
-	margin-right: 1px;
-}
-
-.paramname .paramdefval {
-	font-family: var(--font-family-monospace);
-}
-
-.params, .retval, .exception, .tparams {
-        margin-left: 0px;
-        padding-left: 0px;
-}
-
-.params .paramname, .retval .paramname, .tparams .paramname, .exception .paramname {
-        font-weight: bold;
-        vertical-align: top;
-}
-
-.params .paramtype, .tparams .paramtype {
-        font-style: italic;
-        vertical-align: top;
-}
-
-.params .paramdir, .tparams .paramdir {
-        font-family: var(--font-family-monospace);
-        vertical-align: top;
-}
-
-table.mlabels {
-	border-spacing: 0px;
-}
-
-td.mlabels-left {
-	width: 100%;
-	padding: 0px;
-}
-
-td.mlabels-right {
-	vertical-align: bottom;
-	padding: 0px;
-	white-space: nowrap;
-}
-
-span.mlabels {
-        margin-left: 8px;
-}
-
-span.mlabel {
-        background-color: var(--label-background-color);
-        border-top:1px solid var(--label-left-top-border-color);
-        border-left:1px solid var(--label-left-top-border-color);
-        border-right:1px solid var(--label-right-bottom-border-color);
-        border-bottom:1px solid var(--label-right-bottom-border-color);
-	text-shadow: none;
-	color: var(--label-foreground-color);
-	margin-right: 4px;
-	padding: 2px 3px;
-	border-radius: 3px;
-	font-size: 7pt;
-	white-space: nowrap;
-	vertical-align: middle;
-}
-
-
-
-/* @end */
-
-/* these are for tree view inside a (index) page */
-
-div.directory {
-        margin: 10px 0px;
-        border-top: 1px solid var(--directory-separator-color);
-        border-bottom: 1px solid var(--directory-separator-color);
-        width: 100%;
-}
-
-.directory table {
-        border-collapse:collapse;
-}
-
-.directory td {
-        margin: 0px;
-        padding: 0px;
-	vertical-align: top;
-}
-
-.directory td.entry {
-        white-space: nowrap;
-        padding-right: 6px;
-	padding-top: 3px;
-}
-
-.directory td.entry a {
-        outline:none;
-}
-
-.directory td.entry a img {
-        border: none;
-}
-
-.directory td.desc {
-        width: 100%;
-        padding-left: 6px;
-	padding-right: 6px;
-	padding-top: 3px;
-	border-left: 1px solid rgba(0,0,0,0.05);
-}
-
-.directory tr.odd {
-	padding-left: 6px;
-	background-color: var(--index-odd-item-bg-color);
-}
-
-.directory tr.even {
-	padding-left: 6px;
-	background-color: var(--index-even-item-bg-color);
-}
-
-.directory img {
-	vertical-align: -30%;
-}
-
-.directory .levels {
-        white-space: nowrap;
-        width: 100%;
-        text-align: right;
-        font-size: 9pt;
-}
-
-.directory .levels span {
-        cursor: pointer;
-        padding-left: 2px;
-        padding-right: 2px;
-	color: var(--page-link-color);
-}
-
-.arrow {
-    color: var(--nav-arrow-color);
-    -webkit-user-select: none;
-    -khtml-user-select: none;
-    -moz-user-select: none;
-    -ms-user-select: none;
-    user-select: none;
-    cursor: pointer;
-    font-size: 80%;
-    display: inline-block;
-    width: 16px;
-    height: 22px;
-}
-
-.icon {
-    font-family: var(--font-family-icon);
-    line-height: normal;
-    font-weight: bold;
-    font-size: 12px;
-    height: 14px;
-    width: 16px;
-    display: inline-block;
-    background-color: var(--icon-background-color);
-    color: var(--icon-foreground-color);
-    text-align: center;
-    border-radius: 4px;
-    margin-left: 2px;
-    margin-right: 2px;
-}
-
-.icona {
-    width: 24px;
-    height: 22px;
-    display: inline-block;
-}
-
-.iconfopen {
-    width: 24px;
-    height: 18px;
-    margin-bottom: 4px;
-    background-image:var(--icon-folder-open-image);
-    background-repeat: repeat-y;
-    vertical-align:top;
-    display: inline-block;
-}
-
-.iconfclosed {
-    width: 24px;
-    height: 18px;
-    margin-bottom: 4px;
-    background-image:var(--icon-folder-closed-image);
-    background-repeat: repeat-y;
-    vertical-align:top;
-    display: inline-block;
-}
-
-.icondoc {
-    width: 24px;
-    height: 18px;
-    margin-bottom: 4px;
-    background-image:var(--icon-doc-image);
-    background-position: 0px -4px;
-    background-repeat: repeat-y;
-    vertical-align:top;
-    display: inline-block;
-}
-
-/* @end */
-
-div.dynheader {
-        margin-top: 8px;
-	-webkit-touch-callout: none;
-	-webkit-user-select: none;
-	-khtml-user-select: none;
-	-moz-user-select: none;
-	-ms-user-select: none;
-	user-select: none;
-}
-
-address {
-	font-style: normal;
-	color: var(--footer-foreground-color);
-}
-
-table.doxtable caption {
-	caption-side: top;
-}
-
-table.doxtable {
-	border-collapse:collapse;
-        margin-top: 4px;
-        margin-bottom: 4px;
-}
-
-table.doxtable td, table.doxtable th {
-	border: 1px solid var(--table-cell-border-color);
-	padding: 3px 7px 2px;
-}
-
-table.doxtable th {
-	background-color: var(--table-header-background-color);
-	color: var(--table-header-foreground-color);
-	font-size: 110%;
-	padding-bottom: 4px;
-	padding-top: 5px;
-}
-
-table.fieldtable {
-        margin-bottom: 10px;
-        border: 1px solid var(--memdef-border-color);
-        border-spacing: 0px;
-        border-radius: 4px;
-        box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
-}
-
-.fieldtable td, .fieldtable th {
-        padding: 3px 7px 2px;
-}
-
-.fieldtable td.fieldtype, .fieldtable td.fieldname {
-        white-space: nowrap;
-        border-right: 1px solid var(--memdef-border-color);
-        border-bottom: 1px solid var(--memdef-border-color);
-        vertical-align: top;
-}
-
-.fieldtable td.fieldname {
-        padding-top: 3px;
-}
-
-.fieldtable td.fielddoc {
-        border-bottom: 1px solid var(--memdef-border-color);
-}
-
-.fieldtable td.fielddoc p:first-child {
-        margin-top: 0px;
-}
-
-.fieldtable td.fielddoc p:last-child {
-        margin-bottom: 2px;
-}
-
-.fieldtable tr:last-child td {
-        border-bottom: none;
-}
-
-.fieldtable th {
-        background-image: var(--memdef-title-gradient-image);
-        background-repeat:repeat-x;
-        background-color: var(--memdef-title-background-color);
-        font-size: 90%;
-        color: var(--memdef-proto-text-color);
-        padding-bottom: 4px;
-        padding-top: 5px;
-        text-align:left;
-        font-weight: 400;
-        border-top-left-radius: 4px;
-        border-top-right-radius: 4px;
-        border-bottom: 1px solid var(--memdef-border-color);
-}
-
-
-.tabsearch {
-	top: 0px;
-	left: 10px;
-	height: 36px;
-	background-image: var(--nav-gradient-image);
-	z-index: 101;
-	overflow: hidden;
-	font-size: 13px;
-}
-
-.navpath ul
-{
-	font-size: 11px;
-	background-image: var(--nav-gradient-image);
-	background-repeat:repeat-x;
-	background-position: 0 -5px;
-	height:30px;
-	line-height:30px;
-	color:var(--nav-text-normal-color);
-	border:solid 1px var(--nav-breadcrumb-border-color);
-	overflow:hidden;
-	margin:0px;
-	padding:0px;
-}
-
-.navpath li
-{
-	list-style-type:none;
-	float:left;
-	padding-left:10px;
-	padding-right:15px;
-	background-image:var(--nav-breadcrumb-image);
-	background-repeat:no-repeat;
-	background-position:right;
-	color: var(--nav-foreground-color);
-}
-
-.navpath li.navelem a
-{
-	height:32px;
-	display:block;
-	outline: none;
-	color: var(--nav-text-normal-color);
-	font-family: var(--font-family-nav);
-	text-shadow: var(--nav-text-normal-shadow);
-	text-decoration: none;
-}
-
-.navpath li.navelem a:hover
-{
-	color: var(--nav-text-hover-color);
-	text-shadow: var(--nav-text-hover-shadow);
-}
-
-.navpath li.footer
-{
-        list-style-type:none;
-        float:right;
-        padding-left:10px;
-        padding-right:15px;
-        background-image:none;
-        background-repeat:no-repeat;
-        background-position:right;
-        color: var(--footer-foreground-color);
-        font-size: 8pt;
-}
-
-
-div.summary
-{
-	float: right;
-	font-size: 8pt;
-	padding-right: 5px;
-	width: 50%;
-	text-align: right;
-}
-
-div.summary a
-{
-	white-space: nowrap;
-}
-
-table.classindex
-{
-        margin: 10px;
-        white-space: nowrap;
-        margin-left: 3%;
-        margin-right: 3%;
-        width: 94%;
-        border: 0;
-        border-spacing: 0;
-        padding: 0;
-}
-
-div.ingroups
-{
-	font-size: 8pt;
-	width: 50%;
-	text-align: left;
-}
-
-div.ingroups a
-{
-	white-space: nowrap;
-}
-
-div.header
-{
-        background-image: var(--header-gradient-image);
-        background-repeat:repeat-x;
-	background-color: var(--header-background-color);
-	margin:  0px;
-	border-bottom: 1px solid var(--header-separator-color);
-}
-
-div.headertitle
-{
-	padding: 5px 5px 5px 10px;
-}
-
-.PageDocRTL-title div.headertitle {
-  text-align: right;
-  direction: rtl;
-}
-
-dl {
-        padding: 0 0 0 0;
-}
-
-/*
-
-dl.section {
-	margin-left: 0px;
-	padding-left: 0px;
-}
-
-dl.note {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #D0C000;
-}
-
-dl.warning, dl.attention, dl.important {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #FF0000;
-}
-
-dl.pre, dl.post, dl.invariant {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #00D000;
-}
-
-dl.deprecated {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #505050;
-}
-
-dl.todo {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #00C0E0;
-}
-
-dl.test {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #3030E0;
-}
-
-dl.bug {
-  margin-left: -7px;
-  padding-left: 3px;
-  border-left: 4px solid;
-  border-color: #C08050;
-}
-
-*/
-
-dl.bug dt a, dl.deprecated dt a, dl.todo dt a, dl.test a {
-    font-weight: bold !important;
-}
-
-dl.warning, dl.attention, dl.important, dl.note, dl.deprecated, dl.bug,
-dl.invariant, dl.pre, dl.post, dl.todo, dl.test, dl.remark {
-    padding: 10px;
-    margin: 10px 0px;
-    overflow: hidden;
-    margin-left: 0;
-    border-radius: 4px;
-}
-
-dl.section dd {
-    margin-bottom: 2px;
-}
-
-dl.warning, dl.attention, dl.important {
-    background: var(--warning-color-bg);
-    border-left: 8px solid var(--warning-color-hl);
-    color: var(--warning-color-text);
-}
-
-dl.warning dt, dl.attention dt, dl.important dt {
-    color: var(--warning-color-hl);
-}
-
-dl.note, dl.remark {
-    background: var(--note-color-bg);
-    border-left: 8px solid var(--note-color-hl);
-    color: var(--note-color-text);
-}
-
-dl.note dt, dl.remark dt {
-    color: var(--note-color-hl);
-}
-
-dl.todo {
-    background: var(--todo-color-bg);
-    border-left: 8px solid var(--todo-color-hl);
-    color: var(--todo-color-text);
-}
-
-dl.todo dt {
-    color: var(--todo-color-hl);
-}
-
-dl.test {
-    background: var(--test-color-bg);
-    border-left: 8px solid var(--test-color-hl);
-    color: var(--test-color-text);
-}
-
-dl.test dt {
-    color: var(--test-color-hl);
-}
-
-dl.bug dt a {
-    color: var(--bug-color-hl) !important;
-}
-
-dl.bug {
-    background: var(--bug-color-bg);
-    border-left: 8px solid var(--bug-color-hl);
-    color: var(--bug-color-text);
-}
-
-dl.bug dt a {
-    color: var(--bug-color-hl) !important;
-}
-
-dl.deprecated {
-    background: var(--deprecated-color-bg);
-    border-left: 8px solid var(--deprecated-color-hl);
-    color: var(--deprecated-color-text);
-}
-
-dl.deprecated dt a {
-    color: var(--deprecated-color-hl) !important;
-}
-
-dl.note dd, dl.warning dd, dl.pre dd, dl.post dd,
-dl.remark dd, dl.attention dd, dl.important dd, dl.invariant dd,
-dl.bug dd, dl.deprecated dd, dl.todo dd, dl.test dd {
-    margin-inline-start: 0px;
-}
-
-dl.invariant, dl.pre, dl.post {
-    background: var(--invariant-color-bg);
-    border-left: 8px solid var(--invariant-color-hl);
-    color: var(--invariant-color-text);
-}
-
-dl.invariant dt, dl.pre dt, dl.post dt {
-    color: var(--invariant-color-hl);
-}
-
-
-#projectrow
-{
-	height: 56px;
-}
-
-#projectlogo
-{
-	text-align: center;
-	vertical-align: bottom;
-	border-collapse: separate;
-}
-
-#projectlogo img
-{
-	border: 0px none;
-}
-
-#projectalign
-{
-        vertical-align: middle;
-        padding-left: 0.5em;
-}
-
-#projectname
-{
-	font-size: 200%;
-	font-family: var(--font-family-title);
-	margin: 0px;
-	padding: 2px 0px;
-}
-
-#projectbrief
-{
-	font-size: 90%;
-        font-family: var(--font-family-title);
-	margin: 0px;
-	padding: 0px;
-}
-
-#projectnumber
-{
-	font-size: 50%;
-	font-family: 50% var(--font-family-title);
-	margin: 0px;
-	padding: 0px;
-}
-
-#titlearea
-{
-	padding: 0px;
-	margin: 0px;
-	width: 100%;
-	border-bottom: 1px solid var(--title-separator-color);
-	background-color: var(--title-background-color);
-}
-
-.image
-{
-        text-align: center;
-}
-
-.dotgraph
-{
-        text-align: center;
-}
-
-.mscgraph
-{
-        text-align: center;
-}
-
-.plantumlgraph
-{
-        text-align: center;
-}
-
-.diagraph
-{
-        text-align: center;
-}
-
-.caption
-{
-	font-weight: bold;
-}
-
-dl.citelist {
-        margin-bottom:50px;
-}
-
-dl.citelist dt {
-        color:var(--citation-label-color);
-        float:left;
-        font-weight:bold;
-        margin-right:10px;
-        padding:5px;
-        text-align:right;
-        width:52px;
-}
-
-dl.citelist dd {
-        margin:2px 0 2px 72px;
-        padding:5px 0;
-}
-
-div.toc {
-        padding: 14px 25px;
-        background-color: var(--toc-background-color);
-        border: 1px solid var(--toc-border-color);
-        border-radius: 7px 7px 7px 7px;
-        float: right;
-        height: auto;
-        margin: 0 8px 10px 10px;
-        width: 200px;
-}
-
-div.toc li {
-        background: var(--toc-down-arrow-image) no-repeat scroll 0 5px transparent;
-        font: 10px/1.2 var(--font-family-toc);
-        margin-top: 5px;
-        padding-left: 10px;
-        padding-top: 2px;
-}
-
-div.toc h3 {
-        font: bold 12px/1.2 var(--font-family-toc);
-	color: var(--toc-header-color);
-        border-bottom: 0 none;
-        margin: 0;
-}
-
-div.toc ul {
-        list-style: none outside none;
-        border: medium none;
-        padding: 0px;
-}
-
-div.toc li.level1 {
-        margin-left: 0px;
-}
-
-div.toc li.level2 {
-        margin-left: 15px;
-}
-
-div.toc li.level3 {
-        margin-left: 15px;
-}
-
-div.toc li.level4 {
-        margin-left: 15px;
-}
-
-span.emoji {
-        /* font family used at the site: https://unicode.org/emoji/charts/full-emoji-list.html
-         * font-family: "Noto Color Emoji", "Apple Color Emoji", "Segoe UI Emoji", Times, Symbola, Aegyptus, Code2000, Code2001, Code2002, Musica, serif, LastResort;
-         */
-}
-
-span.obfuscator {
-  display: none;
-}
-
-.inherit_header {
-        font-weight: bold;
-        color: var(--inherit-header-color);
-        cursor: pointer;
-	-webkit-touch-callout: none;
-	-webkit-user-select: none;
-	-khtml-user-select: none;
-	-moz-user-select: none;
-	-ms-user-select: none;
-	user-select: none;
-}
-
-.inherit_header td {
-        padding: 6px 0px 2px 5px;
-}
-
-.inherit {
-        display: none;
-}
-
-tr.heading h2 {
-        margin-top: 12px;
-        margin-bottom: 4px;
-}
-
-/* tooltip related style info */
-
-.ttc {
-        position: absolute;
-        display: none;
-}
-
-#powerTip {
-	cursor: default;
-	/*white-space: nowrap;*/
-        color: var(--tooltip-foreground-color);
-	background-color: var(--tooltip-background-color);
-	border: 1px solid var(--tooltip-border-color);
-	border-radius: 4px 4px 4px 4px;
-	box-shadow: var(--tooltip-shadow);
-	display: none;
-	font-size: smaller;
-	max-width: 80%;
-	opacity: 0.9;
-	padding: 1ex 1em 1em;
-	position: absolute;
-	z-index: 2147483647;
-}
-
-#powerTip div.ttdoc {
-        color: var(--tooltip-doc-color);
-	font-style: italic;
-}
-
-#powerTip div.ttname a {
-        font-weight: bold;
-}
-
-#powerTip a {
-	color: var(--tooltip-link-color);
-}
-
-#powerTip div.ttname {
-        font-weight: bold;
-}
-
-#powerTip div.ttdeci {
-        color: var(--tooltip-declaration-color);
-}
-
-#powerTip div {
-        margin: 0px;
-        padding: 0px;
-        font-size: 12px;
-       	font-family: var(--font-family-tooltip);
-	line-height: 16px;
-}
-
-#powerTip:before, #powerTip:after {
-	content: "";
-	position: absolute;
-	margin: 0px;
-}
-
-#powerTip.n:after,  #powerTip.n:before,
-#powerTip.s:after,  #powerTip.s:before,
-#powerTip.w:after,  #powerTip.w:before,
-#powerTip.e:after,  #powerTip.e:before,
-#powerTip.ne:after, #powerTip.ne:before,
-#powerTip.se:after, #powerTip.se:before,
-#powerTip.nw:after, #powerTip.nw:before,
-#powerTip.sw:after, #powerTip.sw:before {
-	border: solid transparent;
-	content: " ";
-	height: 0;
-	width: 0;
-	position: absolute;
-}
-
-#powerTip.n:after,  #powerTip.s:after,
-#powerTip.w:after,  #powerTip.e:after,
-#powerTip.nw:after, #powerTip.ne:after,
-#powerTip.sw:after, #powerTip.se:after {
-	border-color: rgba(255, 255, 255, 0);
-}
-
-#powerTip.n:before,  #powerTip.s:before,
-#powerTip.w:before,  #powerTip.e:before,
-#powerTip.nw:before, #powerTip.ne:before,
-#powerTip.sw:before, #powerTip.se:before {
-	border-color: rgba(128, 128, 128, 0);
-}
-
-#powerTip.n:after,  #powerTip.n:before,
-#powerTip.ne:after, #powerTip.ne:before,
-#powerTip.nw:after, #powerTip.nw:before {
-	top: 100%;
-}
-
-#powerTip.n:after, #powerTip.ne:after, #powerTip.nw:after {
-	border-top-color: var(--tooltip-background-color);
-	border-width: 10px;
-	margin: 0px -10px;
-}
-#powerTip.n:before, #powerTip.ne:before, #powerTip.nw:before {
-	border-top-color: var(--tooltip-border-color);
-	border-width: 11px;
-	margin: 0px -11px;
-}
-#powerTip.n:after, #powerTip.n:before {
-	left: 50%;
-}
-
-#powerTip.nw:after, #powerTip.nw:before {
-	right: 14px;
-}
-
-#powerTip.ne:after, #powerTip.ne:before {
-	left: 14px;
-}
-
-#powerTip.s:after,  #powerTip.s:before,
-#powerTip.se:after, #powerTip.se:before,
-#powerTip.sw:after, #powerTip.sw:before {
-	bottom: 100%;
-}
-
-#powerTip.s:after, #powerTip.se:after, #powerTip.sw:after {
-	border-bottom-color: var(--tooltip-background-color);
-	border-width: 10px;
-	margin: 0px -10px;
-}
-
-#powerTip.s:before, #powerTip.se:before, #powerTip.sw:before {
-	border-bottom-color: var(--tooltip-border-color);
-	border-width: 11px;
-	margin: 0px -11px;
-}
-
-#powerTip.s:after, #powerTip.s:before {
-	left: 50%;
-}
-
-#powerTip.sw:after, #powerTip.sw:before {
-	right: 14px;
-}
-
-#powerTip.se:after, #powerTip.se:before {
-	left: 14px;
-}
-
-#powerTip.e:after, #powerTip.e:before {
-	left: 100%;
-}
-#powerTip.e:after {
-	border-left-color: var(--tooltip-border-color);
-	border-width: 10px;
-	top: 50%;
-	margin-top: -10px;
-}
-#powerTip.e:before {
-	border-left-color: var(--tooltip-border-color);
-	border-width: 11px;
-	top: 50%;
-	margin-top: -11px;
-}
-
-#powerTip.w:after, #powerTip.w:before {
-	right: 100%;
-}
-#powerTip.w:after {
-	border-right-color: var(--tooltip-border-color);
-	border-width: 10px;
-	top: 50%;
-	margin-top: -10px;
-}
-#powerTip.w:before {
-	border-right-color: var(--tooltip-border-color);
-	border-width: 11px;
-	top: 50%;
-	margin-top: -11px;
-}
-
-@media print
-{
-  #top { display: none; }
-  #side-nav { display: none; }
-  #nav-path { display: none; }
-  body { overflow:visible; }
-  h1, h2, h3, h4, h5, h6 { page-break-after: avoid; }
-  .summary { display: none; }
-  .memitem { page-break-inside: avoid; }
-  #doc-content
-  {
-    margin-left:0 !important;
-    height:auto !important;
-    width:auto !important;
-    overflow:inherit;
-    display:inline;
-  }
-}
-
-/* @group Markdown */
-
-table.markdownTable {
-	border-collapse:collapse;
-        margin-top: 4px;
-        margin-bottom: 4px;
-}
-
-table.markdownTable td, table.markdownTable th {
-	border: 1px solid var(--table-cell-border-color);
-	padding: 3px 7px 2px;
-}
-
-table.markdownTable tr {
-}
-
-th.markdownTableHeadLeft, th.markdownTableHeadRight, th.markdownTableHeadCenter, th.markdownTableHeadNone {
-	background-color: var(--table-header-background-color);
-	color: var(--table-header-foreground-color);
-	font-size: 110%;
-	padding-bottom: 4px;
-	padding-top: 5px;
-}
-
-th.markdownTableHeadLeft, td.markdownTableBodyLeft {
-	text-align: left
-}
-
-th.markdownTableHeadRight, td.markdownTableBodyRight {
-	text-align: right
-}
-
-th.markdownTableHeadCenter, td.markdownTableBodyCenter {
-	text-align: center
-}
-
-tt, code, kbd, samp
-{
-  display: inline-block;
-}
-/* @end */
-
-u {
-	text-decoration: underline;
-}
-
-details>summary {
-  list-style-type: none;
-}
-
-details > summary::-webkit-details-marker {
-    display: none;
-}
-
-details>summary::before {
-    content: "\25ba";
-    padding-right:4px;
-    font-size: 80%;
-}
-
-details[open]>summary::before {
-    content: "\25bc";
-    padding-right:4px;
-    font-size: 80%;
-}
-
-body {
-    scrollbar-color: var(--scrollbar-thumb-color) var(--scrollbar-background-color);
-}
-
-::-webkit-scrollbar {
-        background-color: var(--scrollbar-background-color);
-        height: 12px;
-        width: 12px;
-}
-::-webkit-scrollbar-thumb {
-        border-radius: 6px;
-        box-shadow: inset 0 0 12px 12px var(--scrollbar-thumb-color);
-        border: solid 2px transparent;
-}
-::-webkit-scrollbar-corner {
-        background-color: var(--scrollbar-background-color);
-}
-
diff --git a/docs/manual/doxygen.svg b/docs/manual/doxygen.svg
deleted file mode 100644
index 79a7635..0000000
--- a/docs/manual/doxygen.svg
+++ /dev/null
@@ -1,28 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" viewBox="0 0 104 31" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
- <defs>
-  <linearGradient id="a">
-   <stop stop-color="#5373B4" offset="0"/>
-   <stop stop-color="#7C95C6" offset="1"/>
-  </linearGradient>
-  <linearGradient id="d" x1="31.474" x2="31.474" y1="24.821" y2="26.773" gradientUnits="userSpaceOnUse" xlink:href="#a"/>
-  <linearGradient id="c" x1="31.474" x2="31.474" y1="24.821" y2="26.773" gradientTransform="matrix(.6816 0 0 1.0248 72.391 -.91809)" gradientUnits="userSpaceOnUse" xlink:href="#a"/>
-  <linearGradient id="b" x1="56.295" x2="56.295" y1="24.622" y2="26.574" gradientUnits="userSpaceOnUse" xlink:href="#a"/>
-  <linearGradient id="e" x1="49.067" x2="48.956" y1="19.719" y2="9.5227" gradientTransform="matrix(.97968 0 0 1.0207 -.25579 -.25579)" gradientUnits="userSpaceOnUse">
-   <stop stop-color="#C0CCE3" offset="0"/>
-   <stop stop-color="#EEF1F7" offset="1"/>
-  </linearGradient>
-  <filter id="f" x="-.010676" y="-.045304" width="1.0214" height="1.0906" color-interpolation-filters="sRGB">
-   <feGaussianBlur stdDeviation="0.45293203"/>
-  </filter>
- </defs>
- <g>
-  <path transform="translate(-2.5759 -27.848)" d="m13.609 32.203v6.8633h-0.05078c-0.40533-0.66867-0.96254-1.1715-1.6719-1.5059-0.69244-0.35193-1.4282-0.52734-2.2051-0.52734-0.96267 0-1.807 0.2027-2.5332 0.60742-0.72622 0.38713-1.3344 0.90556-1.8242 1.5566-0.47289 0.65108-0.83456 1.4092-1.0879 2.2715-0.23644 0.84464-0.35547 1.7236-0.35547 2.6387 0 0.95022 0.11902 1.8643 0.35547 2.7441 0.25333 0.87983 0.615 1.6633 1.0879 2.3496 0.48978 0.66867 1.1065 1.2066 1.8496 1.6113 0.74311 0.38713 1.6044 0.58008 2.584 0.58008 0.86133 0 1.6311-0.15787 2.3066-0.47461 0.69244-0.33434 1.2497-0.87227 1.6719-1.6113h0.05078v1.7422h3.4199v-18.846zm12.875 4.8301c-1.0302 0-1.9596 0.17541-2.7871 0.52734-0.82756 0.33434-1.5358 0.81965-2.127 1.4531-0.59111 0.61588-1.0483 1.3721-1.3691 2.2695-0.32089 0.87983-0.48047 1.866-0.48047 2.957s0.15958 2.0752 0.48047 2.9551c0.32089 0.87983 0.77803 1.6361 1.3691 2.2695 0.59111 0.61588 1.2994 1.0914 2.127 1.4258 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.0302 0 1.9596-0.16762 2.7871-0.50195 0.84444-0.33434 1.5612-0.8099 2.1523-1.4258 0.59111-0.63348 1.0483-1.3897 1.3691-2.2695 0.32089-0.87983 0.48047-1.8641 0.48047-2.9551s-0.15958-2.0772-0.48047-2.957c-0.32089-0.89743-0.77803-1.6536-1.3691-2.2695-0.59111-0.63348-1.3079-1.1188-2.1523-1.4531-0.82756-0.35193-1.7569-0.52734-2.7871-0.52734zm41.715 0c-0.912 0-1.7223 0.18516-2.4316 0.55469-0.69244 0.36953-1.2752 0.87043-1.748 1.5039-0.47289 0.61588-0.83651 1.337-1.0898 2.1641-0.23645 0.80944-0.35352 1.6553-0.35352 2.5352 0 0.93262 0.10007 1.8214 0.30273 2.666 0.21956 0.82704 0.55767 1.556 1.0137 2.1895 0.456 0.61588 1.0387 1.109 1.748 1.4785 0.70933 0.35193 1.5536 0.5293 2.5332 0.5293 0.79378 0 1.5446-0.16762 2.2539-0.50195 0.72622-0.35193 1.2834-0.88986 1.6719-1.6113h0.05078v1.7949c0.01689 0.96782-0.21071 1.7689-0.68359 2.4023-0.456 0.63348-1.1898 0.95117-2.2031 0.95117-0.64178 0-1.2075-0.14228-1.6973-0.42383-0.48978-0.26395-0.81939-0.74731-0.98828-1.4512h-3.5723c0.05067 0.77425 0.25276 1.435 0.60742 1.9805 0.37156 0.56309 0.8287 1.0192 1.3691 1.3711 0.55733 0.35193 1.1656 0.60726 1.8242 0.76562 0.67556 0.17597 1.3328 0.26562 1.9746 0.26562 1.5031 0 2.7025-0.21245 3.5977-0.63477 0.89511-0.42232 1.5798-0.94076 2.0527-1.5566 0.47289-0.59829 0.777-1.2493 0.91211-1.9531 0.152-0.70386 0.22656-1.3295 0.22656-1.875v-12.775h-3.4199v1.8223h-0.05078c-0.43911-0.79185-0.98782-1.3551-1.6465-1.6895-0.64178-0.33434-1.3926-0.50195-2.2539-0.50195zm16.523 0c-0.99644 0-1.9088 0.18516-2.7363 0.55469-0.81067 0.36953-1.5124 0.88018-2.1035 1.5312-0.59111 0.63348-1.0463 1.3897-1.3672 2.2695s-0.48047 1.831-0.48047 2.8516c0 1.0558 0.15108 2.0225 0.45508 2.9023 0.32089 0.87983 0.76758 1.6361 1.3418 2.2695 0.57422 0.63348 1.276 1.1266 2.1035 1.4785 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.4862 0 2.7517-0.35277 3.7988-1.0566 1.0471-0.70387 1.8254-1.8733 2.332-3.5098h-3.168c-0.11822 0.42232-0.43934 0.82772-0.96289 1.2148-0.52355 0.36953-1.1468 0.55274-1.873 0.55273-1.0133 0-1.7916-0.27286-2.332-0.81836-0.54044-0.5455-0.83605-1.4245-0.88672-2.6387h9.4492c0.06756-1.0558-0.01551-2.0673-0.25195-3.0352-0.23644-0.96782-0.62557-1.8293-1.166-2.5859-0.52356-0.75666-1.1998-1.355-2.0273-1.7949-0.82756-0.45751-1.7974-0.6875-2.9121-0.6875zm16.189 0c-0.76 0-1.5023 0.18516-2.2285 0.55469-0.72622 0.35193-1.3174 0.92299-1.7734 1.7148h-0.07617v-1.9004h-3.4199v13.646h3.5977v-7.1523c0-1.3901 0.21909-2.3841 0.6582-2.9824 0.43911-0.61588 1.1494-0.92383 2.1289-0.92383 0.86133 0 1.4611 0.28066 1.7988 0.84375 0.33777 0.5455 0.50586 1.3816 0.50586 2.5078v7.707h3.5976v-8.3926c0-0.84464-0.0765-1.6106-0.22851-2.2969-0.13511-0.70387-0.37971-1.2925-0.73438-1.7676-0.35466-0.49271-0.84386-0.87277-1.4688-1.1367-0.608-0.28155-1.3948-0.42188-2.3574-0.42188zm-66.063 0.36914 4.3066 6.4668-4.7129 7.1797h4.0293l2.7363-4.3027 2.7344 4.3027h4.1055l-4.8398-7.2578 4.3066-6.3887h-3.9766l-2.2793 3.5645-2.3066-3.5645zm13.275 0 4.584 12.803c0.10133 0.26395 0.15234 0.54461 0.15234 0.84375 0 0.40472-0.11707 0.77504-0.35352 1.1094-0.21956 0.33434-0.56617 0.52729-1.0391 0.58008-0.35467 0.0176-0.70979 0.0098-1.0645-0.02539-0.35467-0.03519-0.70128-0.07028-1.0391-0.10547v3.0879c0.37156 0.03519 0.73518 0.06051 1.0898 0.07813 0.37156 0.03519 0.74368 0.05273 1.1152 0.05273 1.2329 0 2.1943-0.23778 2.8867-0.71289 0.69244-0.47511 1.2326-1.2664 1.6211-2.375l5.4727-15.336h-3.7246l-2.8613 9.3438h-0.05078l-2.9648-9.3438zm-37.48 2.4551c0.59111 0 1.0823 0.12279 1.4707 0.36914 0.38844 0.24635 0.6991 0.57184 0.93555 0.97656 0.25333 0.38713 0.43187 0.84515 0.5332 1.373 0.10133 0.5103 0.15234 1.0482 0.15234 1.6113 0 0.56309-0.05101 1.1069-0.15234 1.6348-0.10133 0.5279-0.27137 1.0035-0.50781 1.4258-0.23644 0.40472-0.5556 0.73021-0.96094 0.97656-0.38844 0.24635-0.87959 0.36914-1.4707 0.36914-0.55733 0-1.038-0.12279-1.4434-0.36914-0.38844-0.26395-0.71806-0.59723-0.98828-1.002-0.25333-0.42232-0.43842-0.89788-0.55664-1.4258s-0.17773-1.0561-0.17773-1.584c-1e-7 -0.56309 0.05101-1.0991 0.15234-1.6094 0.11822-0.5279 0.29481-0.99567 0.53125-1.4004 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.24635 0.90303-0.36914 1.4941-0.36914zm15.84 0c0.608 0 1.1142 0.13253 1.5195 0.39648 0.42222 0.24635 0.75184 0.57184 0.98828 0.97656 0.25333 0.40472 0.42992 0.87054 0.53125 1.3984 0.10133 0.5279 0.15234 1.0658 0.15234 1.6113 0 0.5455-0.05101 1.0815-0.15234 1.6094-0.10134 0.5103-0.27792 0.97612-0.53125 1.3984-0.23644 0.40472-0.56606 0.73021-0.98828 0.97656-0.40533 0.24635-0.91153 0.36914-1.5195 0.36914-0.608 0-1.1142-0.12279-1.5195-0.36914s-0.73495-0.57184-0.98828-0.97656c-0.23644-0.42232-0.40648-0.88814-0.50781-1.3984-0.10133-0.5279-0.15234-1.0639-0.15234-1.6094 0-0.5455 0.05101-1.0834 0.15234-1.6113 0.10133-0.5279 0.27137-0.99371 0.50781-1.3984 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.26395 0.91153-0.39648 1.5195-0.39648zm42.602 0c0.59111 0 1.0803 0.11499 1.4688 0.34375 0.38844 0.22876 0.70105 0.5367 0.9375 0.92383 0.23644 0.38713 0.40648 0.8354 0.50781 1.3457 0.10133 0.49271 0.15039 1.0209 0.15039 1.584 0 0.4927-0.06606 0.96827-0.20117 1.4258-0.11822 0.43992-0.30526 0.83557-0.55859 1.1875-0.25333 0.35193-0.57445 0.63259-0.96289 0.84375-0.38844 0.21116-0.83513 0.31836-1.3418 0.31836-0.55733 0-1.021-0.12474-1.3926-0.37109-0.37156-0.24635-0.67566-0.56209-0.91211-0.94922-0.21956-0.38713-0.38109-0.81786-0.48242-1.293-0.08444-0.49271-0.12695-0.98581-0.12695-1.4785 0-0.5103 0.05101-0.99366 0.15234-1.4512 0.11822-0.47511 0.29676-0.89025 0.5332-1.2422 0.25333-0.36953 0.55744-0.65993 0.91211-0.87109 0.37156-0.21116 0.80974-0.31641 1.3164-0.31641zm15.535 0c0.87822 0 1.529 0.24753 1.9512 0.74023 0.43911 0.49271 0.74322 1.2138 0.91211 2.1641h-5.8535c0.01689-0.26395 0.0679-0.5641 0.15234-0.89844 0.10133-0.33434 0.26287-0.65008 0.48242-0.94922 0.23644-0.29914 0.54055-0.54667 0.91211-0.74023 0.38845-0.21116 0.86914-0.31641 1.4434-0.31641z" filter="url(#f)" opacity=".3" stroke="#969696"/>
-  <path d="m0.97202 24.161 43.605-0.0019 0.0508 3.3061-43.6 0.04174z" fill="url(#d)" stroke="#000" stroke-width=".5"/>
-  <path d="m10.283 3.5547v6.8633h-0.05078c-0.40533-0.66867-0.96254-1.1715-1.6719-1.5059-0.69244-0.35193-1.4282-0.52734-2.2051-0.52734-0.96267 0-1.807 0.2027-2.5332 0.60742-0.72622 0.38713-1.3344 0.90556-1.8242 1.5566-0.47289 0.65108-0.83456 1.4092-1.0879 2.2715-0.23644 0.84464-0.35547 1.7236-0.35547 2.6387 0 0.95022 0.11902 1.8643 0.35547 2.7441 0.25333 0.87983 0.615 1.6633 1.0879 2.3496 0.48978 0.66867 1.1065 1.2066 1.8496 1.6113 0.74311 0.38713 1.6044 0.58008 2.584 0.58008 0.86133 0 1.6311-0.15787 2.3066-0.47461 0.69244-0.33434 1.2497-0.87227 1.6719-1.6113h0.05078v1.7422h3.4199v-18.846zm12.875 4.8301c-1.0302 0-1.9596 0.17541-2.7871 0.52734-0.82756 0.33434-1.5358 0.81965-2.127 1.4531-0.59111 0.61588-1.0483 1.3721-1.3691 2.2695-0.32089 0.87983-0.48047 1.866-0.48047 2.957s0.15958 2.0752 0.48047 2.9551c0.32089 0.87983 0.77803 1.6361 1.3691 2.2695 0.59111 0.61588 1.2994 1.0914 2.127 1.4258 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.0302 0 1.9596-0.16762 2.7871-0.50195 0.84444-0.33434 1.5612-0.8099 2.1523-1.4258 0.59111-0.63348 1.0483-1.3897 1.3691-2.2695 0.32089-0.87983 0.48047-1.8641 0.48047-2.9551s-0.15958-2.0772-0.48047-2.957c-0.32089-0.89743-0.77803-1.6536-1.3691-2.2695-0.59111-0.63348-1.3079-1.1188-2.1523-1.4531-0.82756-0.35193-1.7569-0.52734-2.7871-0.52734zm41.715 0c-0.912 0-1.7223 0.18516-2.4316 0.55469-0.69244 0.36953-1.2752 0.87043-1.748 1.5039-0.47289 0.61588-0.83651 1.337-1.0898 2.1641-0.23644 0.80944-0.35352 1.6553-0.35352 2.5352 0 0.93262 0.10007 1.8214 0.30273 2.666 0.21956 0.82704 0.55767 1.556 1.0137 2.1895 0.456 0.61588 1.0387 1.109 1.748 1.4785 0.70933 0.35193 1.5536 0.5293 2.5332 0.5293 0.79378 0 1.5446-0.16762 2.2539-0.50195 0.72622-0.35193 1.2834-0.88986 1.6719-1.6113h0.05078v1.7949c0.01689 0.96782-0.21071 1.7689-0.68359 2.4023-0.456 0.63348-1.1898 0.95117-2.2031 0.95117-0.64178 0-1.2075-0.14228-1.6973-0.42383-0.48978-0.26395-0.81939-0.74731-0.98828-1.4512h-3.5723c0.05067 0.77425 0.25276 1.435 0.60742 1.9805 0.37156 0.56309 0.8287 1.0192 1.3691 1.3711 0.55733 0.35193 1.1656 0.60726 1.8242 0.76562 0.67556 0.17597 1.3328 0.26562 1.9746 0.26562 1.5031 0 2.7025-0.21245 3.5977-0.63477 0.89511-0.42232 1.5798-0.94076 2.0527-1.5566 0.47289-0.59829 0.777-1.2493 0.91211-1.9531 0.152-0.70386 0.22656-1.3295 0.22656-1.875v-12.775h-3.4199v1.8223h-0.05078c-0.43911-0.79185-0.98782-1.3551-1.6465-1.6895-0.64178-0.33434-1.3926-0.50195-2.2539-0.50195zm16.523 0c-0.99644 0-1.9088 0.18516-2.7363 0.55469-0.81067 0.36953-1.5124 0.88017-2.1035 1.5312-0.59111 0.63348-1.0463 1.3897-1.3672 2.2695s-0.48047 1.831-0.48047 2.8516c0 1.0558 0.15108 2.0225 0.45508 2.9023 0.32089 0.87983 0.76758 1.6361 1.3418 2.2695 0.57422 0.63348 1.276 1.1266 2.1035 1.4785 0.82756 0.33434 1.7569 0.50195 2.7871 0.50195 1.4862 0 2.7517-0.35278 3.7988-1.0566 1.0471-0.70386 1.8254-1.8733 2.332-3.5098h-3.168c-0.11822 0.42232-0.43934 0.82772-0.96289 1.2148-0.52355 0.36953-1.1468 0.55274-1.873 0.55273-1.0133 0-1.7916-0.27286-2.332-0.81836-0.54044-0.5455-0.83605-1.4245-0.88672-2.6387h9.4492c0.06756-1.0558-0.01551-2.0673-0.25195-3.0352-0.23644-0.96782-0.62557-1.8293-1.166-2.5859-0.52356-0.75666-1.1998-1.355-2.0273-1.7949-0.82756-0.45751-1.7974-0.6875-2.9121-0.6875zm16.189 0c-0.76 0-1.5023 0.18516-2.2285 0.55469-0.72622 0.35193-1.3174 0.923-1.7734 1.7148h-0.07617v-1.9004h-3.4199v13.646h3.5977v-7.1523c0-1.3901 0.21909-2.3841 0.6582-2.9824 0.43911-0.61588 1.1494-0.92383 2.1289-0.92383 0.86133 0 1.461 0.28066 1.7988 0.84375 0.33778 0.5455 0.50586 1.3816 0.50586 2.5078v7.707h3.5977v-8.3926c0-0.84464-0.0765-1.6106-0.22852-2.2969-0.13511-0.70387-0.3797-1.2925-0.73437-1.7676-0.35466-0.49271-0.84386-0.87277-1.4688-1.1367-0.608-0.28155-1.3948-0.42188-2.3574-0.42188zm-66.062 0.36914 4.3066 6.4668-4.7129 7.1797h4.0293l2.7363-4.3027 2.7344 4.3027h4.1055l-4.8398-7.2578 4.3066-6.3887h-3.9766l-2.2793 3.5645-2.3066-3.5645zm13.275 0 4.584 12.803c0.10133 0.26395 0.15234 0.54461 0.15234 0.84375 0 0.40472-0.11707 0.77504-0.35352 1.1094-0.21956 0.33434-0.56617 0.52729-1.0391 0.58008-0.35467 0.0176-0.70979 0.0098-1.0645-0.02539-0.35467-0.03519-0.70128-0.07027-1.0391-0.10547v3.0879c0.37156 0.03519 0.73518 0.06052 1.0898 0.07813 0.37156 0.03519 0.74368 0.05273 1.1152 0.05273 1.2329 0 2.1943-0.23778 2.8867-0.71289 0.69244-0.47511 1.2326-1.2664 1.6211-2.375l5.4727-15.336h-3.7246l-2.8613 9.3437h-0.05078l-2.9648-9.3437zm-37.48 2.4551c0.59111 0 1.0823 0.12279 1.4707 0.36914s0.6991 0.57184 0.93555 0.97656c0.25333 0.38713 0.43187 0.84515 0.5332 1.373 0.10133 0.5103 0.15234 1.0482 0.15234 1.6113 0 0.56309-0.05101 1.1069-0.15234 1.6348-0.10133 0.5279-0.27137 1.0035-0.50781 1.4258-0.23644 0.40472-0.5556 0.73021-0.96094 0.97656-0.38844 0.24635-0.87959 0.36914-1.4707 0.36914-0.55733 0-1.038-0.12279-1.4434-0.36914-0.38844-0.26395-0.71806-0.59723-0.98828-1.002-0.25333-0.42232-0.43842-0.89788-0.55664-1.4258s-0.17773-1.0561-0.17773-1.584c-1e-7 -0.56309 0.05101-1.0991 0.15234-1.6094 0.11822-0.5279 0.29481-0.99567 0.53125-1.4004 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.24635 0.90303-0.36914 1.4941-0.36914zm15.84 0c0.608 0 1.1142 0.13254 1.5195 0.39648 0.42222 0.24635 0.75184 0.57184 0.98828 0.97656 0.25333 0.40472 0.42992 0.87054 0.53125 1.3984 0.10133 0.5279 0.15234 1.0658 0.15234 1.6113 0 0.5455-0.05101 1.0815-0.15234 1.6094-0.10133 0.5103-0.27792 0.97612-0.53125 1.3984-0.23644 0.40472-0.56606 0.73021-0.98828 0.97656-0.40533 0.24635-0.91153 0.36914-1.5195 0.36914-0.608 0-1.1142-0.12279-1.5195-0.36914s-0.73495-0.57184-0.98828-0.97656c-0.23644-0.42232-0.40648-0.88813-0.50781-1.3984-0.10133-0.5279-0.15234-1.0639-0.15234-1.6094 0-0.5455 0.05101-1.0834 0.15234-1.6113 0.10133-0.5279 0.27137-0.99371 0.50781-1.3984 0.25333-0.40472 0.58295-0.73021 0.98828-0.97656 0.40533-0.26395 0.91153-0.39648 1.5195-0.39648zm42.602 0c0.59111 0 1.0803 0.11499 1.4688 0.34375 0.38844 0.22876 0.70106 0.5367 0.9375 0.92383 0.23644 0.38713 0.40648 0.8354 0.50781 1.3457 0.10133 0.49271 0.15039 1.0209 0.15039 1.584 0 0.49271-0.06606 0.96827-0.20117 1.4258-0.11822 0.43992-0.30526 0.83557-0.55859 1.1875-0.25333 0.35193-0.57445 0.63259-0.96289 0.84375-0.38844 0.21116-0.83513 0.31836-1.3418 0.31836-0.55733 0-1.021-0.12474-1.3926-0.37109-0.37156-0.24635-0.67566-0.56209-0.91211-0.94922-0.21956-0.38713-0.38109-0.81786-0.48242-1.293-0.08444-0.49271-0.12695-0.98581-0.12695-1.4785 0-0.5103 0.05101-0.99366 0.15234-1.4512 0.11822-0.47511 0.29676-0.89026 0.5332-1.2422 0.25333-0.36953 0.55744-0.65993 0.91211-0.87109 0.37156-0.21116 0.80974-0.31641 1.3164-0.31641zm15.535 0c0.87822 0 1.529 0.24753 1.9512 0.74024 0.43911 0.49271 0.74322 1.2138 0.91211 2.1641h-5.8535c0.01689-0.26395 0.0679-0.5641 0.15234-0.89844 0.10133-0.33434 0.26287-0.65008 0.48242-0.94922 0.23644-0.29914 0.54055-0.54667 0.91211-0.74023 0.38845-0.21116 0.86914-0.31641 1.4434-0.31641z" fill="url(#e)" stroke="#4665A2" stroke-width=".7"/>
-  <path d="m52.988 27.291c0.99602-1.0359 1.3944-1.8725 1.7928-3.1076l3.8247-0.03984c0.3113 1.6096 0.82413 2.5137 1.6335 3.1474z" fill="url(#b)" stroke="#000" stroke-width=".5"/>
-  <path d="m73.89 24.04 28.885-0.2011-0.12476 3.3879-31.033 0.16229c1.2621-1.0234 1.9665-2.2859 2.2724-3.3491z" fill="url(#c)" stroke="#000" stroke-width=".41788"/>
- </g>
-</svg>
diff --git a/docs/manual/doxygen_crawl.html b/docs/manual/doxygen_crawl.html
deleted file mode 100644
index 4a3b72e..0000000
--- a/docs/manual/doxygen_crawl.html
+++ /dev/null
@@ -1,163 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<title>Validator / crawler helper</title>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-</head>
-<body>
-<a href="_base_classifier_8h_source.html"/>
-<a href="_classifier_8cc_source.html"/>
-<a href="_classifier_8h_source.html"/>
-<a href="_k_d_b_8cc_source.html"/>
-<a href="_k_d_b_8h_source.html"/>
-<a href="_k_d_b_ld_8cc_source.html"/>
-<a href="_k_d_b_ld_8h_source.html"/>
-<a href="_proposal_8cc_source.html"/>
-<a href="_proposal_8h_source.html"/>
-<a href="_s_pn_d_e_8cc_source.html"/>
-<a href="_s_pn_d_e_8h_source.html"/>
-<a href="_s_p_o_d_e_8cc_source.html"/>
-<a href="_s_p_o_d_e_8h_source.html"/>
-<a href="_s_p_o_d_e_ld_8cc_source.html"/>
-<a href="_s_p_o_d_e_ld_8h_source.html"/>
-<a href="_t_a_n_8cc_source.html"/>
-<a href="_t_a_n_8h_source.html"/>
-<a href="_t_a_n_ld_8cc_source.html"/>
-<a href="_t_a_n_ld_8h_source.html"/>
-<a href="_a2_d_e_8cc_source.html"/>
-<a href="_a2_d_e_8h_source.html"/>
-<a href="_a_o_d_e_8cc_source.html"/>
-<a href="_a_o_d_e_8h_source.html"/>
-<a href="_a_o_d_e_ld_8cc_source.html"/>
-<a href="_a_o_d_e_ld_8h_source.html"/>
-<a href="_boost_8cc_source.html"/>
-<a href="_boost_8h_source.html"/>
-<a href="_boost_a2_d_e_8cc_source.html"/>
-<a href="_boost_a2_d_e_8h_source.html"/>
-<a href="_boost_a_o_d_e_8cc_source.html"/>
-<a href="_boost_a_o_d_e_8h_source.html"/>
-<a href="_ensemble_8cc_source.html"/>
-<a href="_ensemble_8h_source.html"/>
-<a href="_network_8cc_source.html"/>
-<a href="_network_8h_source.html"/>
-<a href="_node_8cc_source.html"/>
-<a href="_node_8h_source.html"/>
-<a href="classbayesnet_1_1_a2_d_e.html"/>
-<a href="classbayesnet_1_1_a2_d_e-members.html"/>
-<a href="classbayesnet_1_1_a_o_d_e.html"/>
-<a href="classbayesnet_1_1_a_o_d_e-members.html"/>
-<a href="classbayesnet_1_1_a_o_d_e_ld.html"/>
-<a href="classbayesnet_1_1_a_o_d_e_ld-members.html"/>
-<a href="classbayesnet_1_1_base_classifier.html"/>
-<a href="classbayesnet_1_1_base_classifier-members.html"/>
-<a href="classbayesnet_1_1_boost.html"/>
-<a href="classbayesnet_1_1_boost-members.html"/>
-<a href="classbayesnet_1_1_boost_a2_d_e.html"/>
-<a href="classbayesnet_1_1_boost_a2_d_e-members.html"/>
-<a href="classbayesnet_1_1_boost_a_o_d_e.html"/>
-<a href="classbayesnet_1_1_boost_a_o_d_e-members.html"/>
-<a href="classbayesnet_1_1_classifier.html"/>
-<a href="classbayesnet_1_1_classifier-members.html"/>
-<a href="classbayesnet_1_1_ensemble.html"/>
-<a href="classbayesnet_1_1_ensemble-members.html"/>
-<a href="classbayesnet_1_1_k_d_b.html"/>
-<a href="classbayesnet_1_1_k_d_b-members.html"/>
-<a href="classbayesnet_1_1_k_d_b_ld.html"/>
-<a href="classbayesnet_1_1_k_d_b_ld-members.html"/>
-<a href="classbayesnet_1_1_network.html"/>
-<a href="classbayesnet_1_1_network-members.html"/>
-<a href="classbayesnet_1_1_node.html"/>
-<a href="classbayesnet_1_1_node-members.html"/>
-<a href="classbayesnet_1_1_proposal.html"/>
-<a href="classbayesnet_1_1_proposal-members.html"/>
-<a href="classbayesnet_1_1_s_pn_d_e.html"/>
-<a href="classbayesnet_1_1_s_pn_d_e-members.html"/>
-<a href="classbayesnet_1_1_s_p_o_d_e.html"/>
-<a href="classbayesnet_1_1_s_p_o_d_e-members.html"/>
-<a href="classbayesnet_1_1_s_p_o_d_e_ld.html"/>
-<a href="classbayesnet_1_1_s_p_o_d_e_ld-members.html"/>
-<a href="classbayesnet_1_1_t_a_n.html"/>
-<a href="classbayesnet_1_1_t_a_n-members.html"/>
-<a href="classbayesnet_1_1_t_a_n_ld.html"/>
-<a href="classbayesnet_1_1_t_a_n_ld-members.html"/>
-<a href="graph_legend.html"/>
-<a href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html"/>
-<a href="dir_520a649ed2b1c3b658a695aeefe46a5a.html"/>
-<a href="dir_2f68445c4ac4316280c650d0a13b2741.html"/>
-<a href="dir_efcd97b18bba957e8e278307db4f845a.html"/>
-<a href="index.html"/>
-<a href="doxygen_crawl.html"/>
-<a href="annotated.html"/>
-<a href="classes.html"/>
-<a href="hierarchy.html"/>
-<a href="inherits.html"/>
-<a href="files.html"/>
-<a href="_a2_d_e_8cc_source.html"/>
-<a href="_a2_d_e_8h_source.html"/>
-<a href="_a_o_d_e_8cc_source.html"/>
-<a href="_a_o_d_e_8h_source.html"/>
-<a href="_a_o_d_e_ld_8cc_source.html"/>
-<a href="_a_o_d_e_ld_8h_source.html"/>
-<a href="_base_classifier_8h_source.html"/>
-<a href="_boost_8cc_source.html"/>
-<a href="_boost_8h_source.html"/>
-<a href="_boost_a2_d_e_8cc_source.html"/>
-<a href="_boost_a2_d_e_8h_source.html"/>
-<a href="_boost_a_o_d_e_8cc_source.html"/>
-<a href="_boost_a_o_d_e_8h_source.html"/>
-<a href="_classifier_8cc_source.html"/>
-<a href="_classifier_8h_source.html"/>
-<a href="_ensemble_8cc_source.html"/>
-<a href="_ensemble_8h_source.html"/>
-<a href="_k_d_b_8cc_source.html"/>
-<a href="_k_d_b_8h_source.html"/>
-<a href="_k_d_b_ld_8cc_source.html"/>
-<a href="_k_d_b_ld_8h_source.html"/>
-<a href="_network_8cc_source.html"/>
-<a href="_network_8h_source.html"/>
-<a href="_node_8cc_source.html"/>
-<a href="_node_8h_source.html"/>
-<a href="_proposal_8cc_source.html"/>
-<a href="_proposal_8h_source.html"/>
-<a href="_s_p_o_d_e_8cc_source.html"/>
-<a href="_s_p_o_d_e_8h_source.html"/>
-<a href="_s_p_o_d_e_ld_8cc_source.html"/>
-<a href="_s_p_o_d_e_ld_8h_source.html"/>
-<a href="_s_pn_d_e_8cc_source.html"/>
-<a href="_s_pn_d_e_8h_source.html"/>
-<a href="_t_a_n_8cc_source.html"/>
-<a href="_t_a_n_8h_source.html"/>
-<a href="_t_a_n_ld_8cc_source.html"/>
-<a href="_t_a_n_ld_8h_source.html"/>
-<a href="annotated.html"/>
-<a href="classbayesnet_1_1_a2_d_e.html"/>
-<a href="classbayesnet_1_1_a_o_d_e.html"/>
-<a href="classbayesnet_1_1_a_o_d_e_ld.html"/>
-<a href="classbayesnet_1_1_base_classifier.html"/>
-<a href="classbayesnet_1_1_boost.html"/>
-<a href="classbayesnet_1_1_boost_a2_d_e.html"/>
-<a href="classbayesnet_1_1_boost_a_o_d_e.html"/>
-<a href="classbayesnet_1_1_classifier.html"/>
-<a href="classbayesnet_1_1_ensemble.html"/>
-<a href="classbayesnet_1_1_k_d_b.html"/>
-<a href="classbayesnet_1_1_k_d_b_ld.html"/>
-<a href="classbayesnet_1_1_network.html"/>
-<a href="classbayesnet_1_1_node.html"/>
-<a href="classbayesnet_1_1_proposal.html"/>
-<a href="classbayesnet_1_1_s_p_o_d_e.html"/>
-<a href="classbayesnet_1_1_s_p_o_d_e_ld.html"/>
-<a href="classbayesnet_1_1_s_pn_d_e.html"/>
-<a href="classbayesnet_1_1_t_a_n.html"/>
-<a href="classbayesnet_1_1_t_a_n_ld.html"/>
-<a href="classes.html"/>
-<a href="dir_2f68445c4ac4316280c650d0a13b2741.html"/>
-<a href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html"/>
-<a href="dir_520a649ed2b1c3b658a695aeefe46a5a.html"/>
-<a href="dir_efcd97b18bba957e8e278307db4f845a.html"/>
-<a href="files.html"/>
-<a href="hierarchy.html"/>
-</body>
-</html>
diff --git a/docs/manual/dynsections.js b/docs/manual/dynsections.js
deleted file mode 100644
index 8985f42..0000000
--- a/docs/manual/dynsections.js
+++ /dev/null
@@ -1,205 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
- */
-
-function toggleVisibility(linkObj) {
-  return dynsection.toggleVisibility(linkObj);
-}
-
-let dynsection = {
-
-  // helper function
-  updateStripes : function() {
-    $('table.directory tr').
-      removeClass('even').filter(':visible:even').addClass('even');
-    $('table.directory tr').
-      removeClass('odd').filter(':visible:odd').addClass('odd');
-  },
-
-  toggleVisibility : function(linkObj) {
-    const base = $(linkObj).attr('id');
-    const summary = $('#'+base+'-summary');
-    const content = $('#'+base+'-content');
-    const trigger = $('#'+base+'-trigger');
-    const src=$(trigger).attr('src');
-    if (content.is(':visible')===true) {
-      content.hide();
-      summary.show();
-      $(linkObj).addClass('closed').removeClass('opened');
-      $(trigger).attr('src',src.substring(0,src.length-8)+'closed.png');
-    } else {
-      content.show();
-      summary.hide();
-      $(linkObj).removeClass('closed').addClass('opened');
-      $(trigger).attr('src',src.substring(0,src.length-10)+'open.png');
-    }
-    return false;
-  },
-
-  toggleLevel : function(level) {
-    $('table.directory tr').each(function() {
-      const l = this.id.split('_').length-1;
-      const i = $('#img'+this.id.substring(3));
-      const a = $('#arr'+this.id.substring(3));
-      if (l<level+1) {
-        i.removeClass('iconfopen iconfclosed').addClass('iconfopen');
-        a.html('&#9660;');
-        $(this).show();
-      } else if (l==level+1) {
-        i.removeClass('iconfclosed iconfopen').addClass('iconfclosed');
-        a.html('&#9658;');
-        $(this).show();
-      } else {
-        $(this).hide();
-      }
-    });
-    this.updateStripes();
-  },
-
-  toggleFolder : function(id) {
-    // the clicked row
-    const currentRow = $('#row_'+id);
-
-    // all rows after the clicked row
-    const rows = currentRow.nextAll("tr");
-
-    const re = new RegExp('^row_'+id+'\\d+_$', "i"); //only one sub
-
-    // only match elements AFTER this one (can't hide elements before)
-    const childRows = rows.filter(function() { return this.id.match(re); });
-
-    // first row is visible we are HIDING
-    if (childRows.filter(':first').is(':visible')===true) {
-      // replace down arrow by right arrow for current row
-      const currentRowSpans = currentRow.find("span");
-      currentRowSpans.filter(".iconfopen").removeClass("iconfopen").addClass("iconfclosed");
-      currentRowSpans.filter(".arrow").html('&#9658;');
-      rows.filter("[id^=row_"+id+"]").hide(); // hide all children
-    } else { // we are SHOWING
-      // replace right arrow by down arrow for current row
-      const currentRowSpans = currentRow.find("span");
-      currentRowSpans.filter(".iconfclosed").removeClass("iconfclosed").addClass("iconfopen");
-      currentRowSpans.filter(".arrow").html('&#9660;');
-      // replace down arrows by right arrows for child rows
-      const childRowsSpans = childRows.find("span");
-      childRowsSpans.filter(".iconfopen").removeClass("iconfopen").addClass("iconfclosed");
-      childRowsSpans.filter(".arrow").html('&#9658;');
-      childRows.show(); //show all children
-    }
-    this.updateStripes();
-  },
-
-  toggleInherit : function(id) {
-    const rows = $('tr.inherit.'+id);
-    const img = $('tr.inherit_header.'+id+' img');
-    const src = $(img).attr('src');
-    if (rows.filter(':first').is(':visible')===true) {
-      rows.css('display','none');
-      $(img).attr('src',src.substring(0,src.length-8)+'closed.png');
-    } else {
-      rows.css('display','table-row'); // using show() causes jump in firefox
-      $(img).attr('src',src.substring(0,src.length-10)+'open.png');
-    }
-  },
-};
-
-let codefold = {
-  opened : true,
-
-  // in case HTML_COLORSTYLE is LIGHT or DARK the vars will be replaced, so we write them out explicitly and use double quotes
-  plusImg:  [ "var(--fold-plus-image)",  "var(--fold-plus-image-relpath)" ],
-  minusImg: [ "var(--fold-minus-image)", "var(--fold-minus-image-relpath)" ],
-
-  // toggle all folding blocks
-  toggle_all : function(relPath) {
-    if (this.opened) {
-      $('#fold_all').css('background-image',this.plusImg[relPath]);
-      $('div[id^=foldopen]').hide();
-      $('div[id^=foldclosed]').show();
-    } else {
-      $('#fold_all').css('background-image',this.minusImg[relPath]);
-      $('div[id^=foldopen]').show();
-      $('div[id^=foldclosed]').hide();
-    }
-    this.opened=!this.opened;
-  },
-
-  // toggle single folding block
-  toggle : function(id) {
-    $('#foldopen'+id).toggle();
-    $('#foldclosed'+id).toggle();
-  },
-
-  init : function(relPath) {
-    $('span[class=lineno]').css({
-      'padding-right':'4px',
-      'margin-right':'2px',
-      'display':'inline-block',
-      'width':'54px',
-      'background':'linear-gradient(var(--fold-line-color),var(--fold-line-color)) no-repeat 46px/2px 100%'
-    });
-    // add global toggle to first line
-    $('span[class=lineno]:first').append('<span class="fold" id="fold_all" '+
-      'onclick="javascript:codefold.toggle_all('+relPath+');" '+
-      'style="background-image:'+this.minusImg[relPath]+';"></span>');
-    // add vertical lines to other rows
-    $('span[class=lineno]').not(':eq(0)').append('<span class="fold"></span>');
-    // add toggle controls to lines with fold divs
-    $('div[class=foldopen]').each(function() {
-      // extract specific id to use
-      const id    = $(this).attr('id').replace('foldopen','');
-      // extract start and end foldable fragment attributes
-      const start = $(this).attr('data-start');
-      const end   = $(this).attr('data-end');
-      // replace normal fold span with controls for the first line of a foldable fragment
-      $(this).find('span[class=fold]:first').replaceWith('<span class="fold" '+
-                   'onclick="javascript:codefold.toggle(\''+id+'\');" '+
-                   'style="background-image:'+codefold.minusImg[relPath]+';"></span>');
-      // append div for folded (closed) representation
-      $(this).after('<div id="foldclosed'+id+'" class="foldclosed" style="display:none;"></div>');
-      // extract the first line from the "open" section to represent closed content
-      const line = $(this).children().first().clone();
-      // remove any glow that might still be active on the original line
-      $(line).removeClass('glow');
-      if (start) {
-        // if line already ends with a start marker (e.g. trailing {), remove it
-        $(line).html($(line).html().replace(new RegExp('\\s*'+start+'\\s*$','g'),''));
-      }
-      // replace minus with plus symbol
-      $(line).find('span[class=fold]').css('background-image',codefold.plusImg[relPath]);
-      // append ellipsis
-      $(line).append(' '+start+'<a href="javascript:codefold.toggle(\''+id+'\')">&#8230;</a>'+end);
-      // insert constructed line into closed div
-      $('#foldclosed'+id).html(line);
-    });
-  },
-};
-/* @license-end */
-$(function() {
-  $('.code,.codeRef').each(function() {
-    $(this).data('powertip',$('#a'+$(this).attr('href').replace(/.*\//,'').replace(/[^a-z_A-Z0-9]/g,'_')).html());
-    $.fn.powerTip.smartPlacementLists.s = [ 's', 'n', 'ne', 'se' ];
-    $(this).powerTip({ placement: 's', smartPlacement: true, mouseOnToPopup: true });
-  });
-});
diff --git a/docs/manual/files.html b/docs/manual/files.html
deleted file mode 100644
index 00e561b..0000000
--- a/docs/manual/files.html
+++ /dev/null
@@ -1,158 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: File List</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('files.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">File List</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="textblock">Here is a list of all documented files with brief descriptions:</div><div class="directory">
-<div class="levels">[detail level <span onclick="javascript:dynsection.toggleLevel(1);">1</span><span onclick="javascript:dynsection.toggleLevel(2);">2</span><span onclick="javascript:dynsection.toggleLevel(3);">3</span>]</div><table class="directory">
-<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="dynsection.toggleFolder('0_')">&#9660;</span><span id="img_0_" class="iconfopen" onclick="dynsection.toggleFolder('0_')">&#160;</span><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html" target="_self">bayesnet</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_0_" class="arrow" onclick="dynsection.toggleFolder('0_0_')">&#9660;</span><span id="img_0_0_" class="iconfopen" onclick="dynsection.toggleFolder('0_0_')">&#160;</span><a class="el" href="dir_520a649ed2b1c3b658a695aeefe46a5a.html" target="_self">classifiers</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_classifier_8cc_source.html"><span class="icondoc"></span></a><b>Classifier.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_1_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_classifier_8h_source.html"><span class="icondoc"></span></a><b>Classifier.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_8cc_source.html"><span class="icondoc"></span></a><b>KDB.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_3_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_8h_source.html"><span class="icondoc"></span></a><b>KDB.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_4_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_ld_8cc_source.html"><span class="icondoc"></span></a><b>KDBLd.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_5_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_k_d_b_ld_8h_source.html"><span class="icondoc"></span></a><b>KDBLd.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_6_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_proposal_8cc_source.html"><span class="icondoc"></span></a><b>Proposal.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_7_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_proposal_8h_source.html"><span class="icondoc"></span></a><b>Proposal.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_8_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_pn_d_e_8cc_source.html"><span class="icondoc"></span></a><b>SPnDE.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_9_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_pn_d_e_8h_source.html"><span class="icondoc"></span></a><b>SPnDE.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_10_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_8cc_source.html"><span class="icondoc"></span></a><b>SPODE.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_11_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_8h_source.html"><span class="icondoc"></span></a><b>SPODE.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_12_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a><b>SPODELd.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_13_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_s_p_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a><b>SPODELd.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_14_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_8cc_source.html"><span class="icondoc"></span></a><b>TAN.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_15_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_8h_source.html"><span class="icondoc"></span></a><b>TAN.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_16_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_ld_8cc_source.html"><span class="icondoc"></span></a><b>TANLd.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_0_17_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_t_a_n_ld_8h_source.html"><span class="icondoc"></span></a><b>TANLd.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_" class="even"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_1_" class="arrow" onclick="dynsection.toggleFolder('0_1_')">&#9660;</span><span id="img_0_1_" class="iconfopen" onclick="dynsection.toggleFolder('0_1_')">&#160;</span><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html" target="_self">ensembles</a></td><td class="desc"></td></tr>
-<tr id="row_0_1_0_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a2_d_e_8cc_source.html"><span class="icondoc"></span></a><b>A2DE.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_1_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a2_d_e_8h_source.html"><span class="icondoc"></span></a><b>A2DE.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_2_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a><b>AODE.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_3_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_8h_source.html"><span class="icondoc"></span></a><b>AODE.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_4_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_ld_8cc_source.html"><span class="icondoc"></span></a><b>AODELd.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_5_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_a_o_d_e_ld_8h_source.html"><span class="icondoc"></span></a><b>AODELd.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_6_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_8cc_source.html"><span class="icondoc"></span></a><b>Boost.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_7_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_8h_source.html"><span class="icondoc"></span></a><b>Boost.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_8_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a2_d_e_8cc_source.html"><span class="icondoc"></span></a><b>BoostA2DE.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_9_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a2_d_e_8h_source.html"><span class="icondoc"></span></a><b>BoostA2DE.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_10_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a_o_d_e_8cc_source.html"><span class="icondoc"></span></a><b>BoostAODE.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_11_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_boost_a_o_d_e_8h_source.html"><span class="icondoc"></span></a><b>BoostAODE.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_12_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_ensemble_8cc_source.html"><span class="icondoc"></span></a><b>Ensemble.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_1_13_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_ensemble_8h_source.html"><span class="icondoc"></span></a><b>Ensemble.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_2_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_2_" class="arrow" onclick="dynsection.toggleFolder('0_2_')">&#9660;</span><span id="img_0_2_" class="iconfopen" onclick="dynsection.toggleFolder('0_2_')">&#160;</span><a class="el" href="dir_efcd97b18bba957e8e278307db4f845a.html" target="_self">network</a></td><td class="desc"></td></tr>
-<tr id="row_0_2_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_network_8cc_source.html"><span class="icondoc"></span></a><b>Network.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_2_1_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_network_8h_source.html"><span class="icondoc"></span></a><b>Network.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_2_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_node_8cc_source.html"><span class="icondoc"></span></a><b>Node.cc</b></td><td class="desc"></td></tr>
-<tr id="row_0_2_3_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><a href="_node_8h_source.html"><span class="icondoc"></span></a><b>Node.h</b></td><td class="desc"></td></tr>
-<tr id="row_0_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><a href="_base_classifier_8h_source.html"><span class="icondoc"></span></a><b>BaseClassifier.h</b></td><td class="desc"></td></tr>
-</table>
-</div><!-- directory -->
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/files_dup.js b/docs/manual/files_dup.js
deleted file mode 100644
index 3a9b985..0000000
--- a/docs/manual/files_dup.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var files_dup =
-[
-    [ "bayesnet", "dir_40070fdff85d618b4d1d3ab4ac4f79bb.html", "dir_40070fdff85d618b4d1d3ab4ac4f79bb" ]
-];
\ No newline at end of file
diff --git a/docs/manual/folderclosed.svg b/docs/manual/folderclosed.svg
deleted file mode 100644
index b04bed2..0000000
--- a/docs/manual/folderclosed.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
-<g style="fill:#4665A2;">
-<path d="M1,5.998l-0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm2,-0l-0,16.002c-0,0.796 0.316,1.559 0.879,2.121c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121c0,-3.486 0,-8.514 0,-12c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998Z"/>
-</g>
-<g style="fill:#D8DFEE;stroke-width:0;">
-<path d="M 5.6063709,24.951908 C 4.3924646,24.775461 3.4197129,23.899792 3.1031586,22.698521 L 3.0216155,22.389078 V 13.997725 5.6063709 L 3.1037477,5.2982247 C 3.3956682,4.2029881 4.1802788,3.412126 5.2787258,3.105917 5.5646428,3.0262132 5.6154982,3.0244963 8.0611641,3.0119829 l 2.4911989,-0.012746 1.932009,1.9300342 c 1.344142,1.3427669 1.976319,1.9498819 2.07763,1.9952626 0.137456,0.061571 0.474218,0.066269 6.006826,0.083795 l 5.861206,0.018568 0.29124,0.081916 c 1.094895,0.3079569 1.890116,1.109428 2.175567,2.192667 l 0.08154,0.3094425 V 16 22.389078 l -0.08154,0.309443 c -0.28446,1.079482 -1.086411,1.888085 -2.175567,2.193614 l -0.29124,0.0817 -10.302616,0.0049 c -5.700217,0.0027 -10.4001945,-0.0093 -10.5210471,-0.02684 z"/>
-</g>
-</svg>
diff --git a/docs/manual/folderclosedd.svg b/docs/manual/folderclosedd.svg
deleted file mode 100644
index 52f0166..0000000
--- a/docs/manual/folderclosedd.svg
+++ /dev/null
@@ -1,11 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
-<g style="fill:#C4CFE5;">
-<path d="M1,5.998l-0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm2,-0l-0,16.002c-0,0.796 0.316,1.559 0.879,2.121c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121c0,-3.486 0,-8.514 0,-12c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998Z"/>
-</g>
-<g style="fill:#4665A2;stroke-width:0;">
-<path d="M 5.6063709,24.951908 C 4.3924646,24.775461 3.4197129,23.899792 3.1031586,22.698521 L 3.0216155,22.389078 V 13.997725 5.6063709 L 3.1037477,5.2982247 C 3.3956682,4.2029881 4.1802788,3.412126 5.2787258,3.105917 5.5646428,3.0262132 5.6154982,3.0244963 8.0611641,3.0119829 l 2.4911989,-0.012746 1.932009,1.9300342 c 1.344142,1.3427669 1.976319,1.9498819 2.07763,1.9952626 0.137456,0.061571 0.474218,0.066269 6.006826,0.083795 l 5.861206,0.018568 0.29124,0.081916 c 1.094895,0.3079569 1.890116,1.109428 2.175567,2.192667 l 0.08154,0.3094425 V 16 22.389078 l -0.08154,0.309443 c -0.28446,1.079482 -1.086411,1.888085 -2.175567,2.193614 l -0.29124,0.0817 -10.302616,0.0049 c -5.700217,0.0027 -10.4001945,-0.0093 -10.5210471,-0.02684 z"/>
-</g>
-</svg>
diff --git a/docs/manual/folderopen.svg b/docs/manual/folderopen.svg
deleted file mode 100644
index f6896dd..0000000
--- a/docs/manual/folderopen.svg
+++ /dev/null
@@ -1,17 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
-<g style="fill:#4665A2;">
-<path
-   d="M1,5.998l0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm28,14.415l-3.456,-5.925c-0.538,-0.921 -1.524,-1.488 -2.591,-1.488c-0,0 -12.905,0 -12.906,0c-1.067,0 -2.053,0.567 -2.591,1.488l-4.453,7.635c0.03,0.751 0.342,1.465 0.876,1.998c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121l0,-1.587Zm0,-3.969l0,-6.444c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998l0,12.16l2.729,-4.677c0.896,-1.536 2.54,-2.481 4.318,-2.481c3.354,0 9.552,0 12.906,0c1.778,0 3.422,0.945 4.318,2.481l1.729,2.963Z"
-   id="path2" />
-</g>
-<g style="fill:#D8DFEE;stroke-width:0;">
-<path
-   d="M 5.3879408,24.913408 C 4.1598821,24.650818 3.1571088,23.558656 3.053503,22.370876 L 3.0312746,22.116041 5.2606813,18.293515 C 6.486855,16.191126 7.5598351,14.372696 7.6450818,14.25256 8.0043056,13.746312 8.5423079,13.363007 9.2104664,13.137285 l 0.2548351,-0.08609 6.9294785,-0.0097 c 6.805096,-0.0095 6.934944,-0.0084 7.234011,0.06267 0.695577,0.165199 1.290483,0.557253 1.714887,1.130141 0.08158,0.110125 0.938747,1.556711 1.90481,3.214634 l 1.756479,3.014406 -0.0186,0.971942 c -0.01387,0.724723 -0.03365,1.032131 -0.07778,1.208575 -0.242792,0.970733 -0.88732,1.735415 -1.772382,2.102793 -0.58835,0.244217 0.247209,0.227436 -11.161974,0.224159 -9.0281537,-0.0026 -10.3636023,-0.0098 -10.5862902,-0.05746 z"
-   id="path199" /><path
-   d="M 3.0126385,11.849829 3.0235061,5.5881684 3.1020974,5.2969283 C 3.3478146,4.3863605 3.93576,3.6757372 4.756668,3.2971229 5.3293315,3.0330025 5.1813272,3.0450949 8.0130385,3.0310668 l 2.5522875,-0.012644 1.918693,1.9107086 c 1.404146,1.3983023 1.964459,1.9332518 2.089351,1.9947704 l 0.170657,0.084062 5.897611,0.019367 c 5.553257,0.018236 5.910365,0.023213 6.116041,0.085231 1.102257,0.3323708 1.857042,1.1184422 2.154229,2.2435244 0.05645,0.2137228 0.06373,0.5643981 0.07519,3.6220748 0.0076,2.032169 -5.42e-4,3.370979 -0.02041,3.349261 -0.0182,-0.0199 -0.414296,-0.691472 -0.880217,-1.492382 -0.46592,-0.80091 -0.93093,-1.577954 -1.033354,-1.726764 -0.735716,-1.0689 -1.983568,-1.844244 -3.315972,-2.060353 -0.280375,-0.04548 -1.345158,-0.05334 -7.238708,-0.05347 -4.713933,-1.09e-4 -6.9931825,0.01221 -7.1717862,0.03874 -1.3002273,0.193134 -2.4770512,0.889916 -3.283628,1.944192 -0.1076466,0.140705 -0.8359664,1.353438 -1.6184885,2.694963 L 3.0017709,18.11149 Z"
-   id="path201" />
-</g>
-</svg>
diff --git a/docs/manual/folderopend.svg b/docs/manual/folderopend.svg
deleted file mode 100644
index 2d1f06e..0000000
--- a/docs/manual/folderopend.svg
+++ /dev/null
@@ -1,12 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg version="1.1" width="16" height="24" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve">
-<g style="fill:#C4CFE5;">
-<path d="M1,5.998l0,16.002c-0,1.326 0.527,2.598 1.464,3.536c0.938,0.937 2.21,1.464 3.536,1.464c5.322,0 14.678,-0 20,0c1.326,0 2.598,-0.527 3.536,-1.464c0.937,-0.938 1.464,-2.21 1.464,-3.536c0,-3.486 0,-8.514 0,-12c0,-1.326 -0.527,-2.598 -1.464,-3.536c-0.938,-0.937 -2.21,-1.464 -3.536,-1.464c-0,0 -10.586,0 -10.586,0c0,-0 -3.707,-3.707 -3.707,-3.707c-0.187,-0.188 -0.442,-0.293 -0.707,-0.293l-5.002,0c-2.76,0 -4.998,2.238 -4.998,4.998Zm28,14.415l-3.456,-5.925c-0.538,-0.921 -1.524,-1.488 -2.591,-1.488c-0,0 -12.905,0 -12.906,0c-1.067,0 -2.053,0.567 -2.591,1.488l-4.453,7.635c0.03,0.751 0.342,1.465 0.876,1.998c0.562,0.563 1.325,0.879 2.121,0.879l20,0c0.796,0 1.559,-0.316 2.121,-0.879c0.563,-0.562 0.879,-1.325 0.879,-2.121l0,-1.587Zm0,-3.969l0,-6.444c0,-0.796 -0.316,-1.559 -0.879,-2.121c-0.562,-0.563 -1.325,-0.879 -2.121,-0.879c-7.738,0 -11,0 -11,0c-0.265,0 -0.52,-0.105 -0.707,-0.293c-0,0 -3.707,-3.707 -3.707,-3.707c-0,0 -4.588,0 -4.588,0c-1.656,0 -2.998,1.342 -2.998,2.998l0,12.16l2.729,-4.677c0.896,-1.536 2.54,-2.481 4.318,-2.481c3.354,0 9.552,0 12.906,0c1.778,0 3.422,0.945 4.318,2.481l1.729,2.963Z"/>
-</g>
-<g style="fill:#4665A2;stroke-width:0;">
-<path d="M 5.3879408,24.913408 C 4.1598821,24.650818 3.1571088,23.558656 3.053503,22.370876 L 3.0312746,22.116041 5.2606813,18.293515 C 6.486855,16.191126 7.5598351,14.372696 7.6450818,14.25256 8.0043056,13.746312 8.5423079,13.363007 9.2104664,13.137285 l 0.2548351,-0.08609 6.9294785,-0.0097 c 6.805096,-0.0095 6.934944,-0.0084 7.234011,0.06267 0.695577,0.165199 1.290483,0.557253 1.714887,1.130141 0.08158,0.110125 0.938747,1.556711 1.90481,3.214634 l 1.756479,3.014406 -0.0186,0.971942 c -0.01387,0.724723 -0.03365,1.032131 -0.07778,1.208575 -0.242792,0.970733 -0.88732,1.735415 -1.772382,2.102793 -0.58835,0.244217 0.247209,0.227436 -11.161974,0.224159 -9.0281537,-0.0026 -10.3636023,-0.0098 -10.5862902,-0.05746 z" />
-<path d="M 3.0126385,11.849829 3.0235061,5.5881684 3.1020974,5.2969283 C 3.3478146,4.3863605 3.93576,3.6757372 4.756668,3.2971229 5.3293315,3.0330025 5.1813272,3.0450949 8.0130385,3.0310668 l 2.5522875,-0.012644 1.918693,1.9107086 c 1.404146,1.3983023 1.964459,1.9332518 2.089351,1.9947704 l 0.170657,0.084062 5.897611,0.019367 c 5.553257,0.018236 5.910365,0.023213 6.116041,0.085231 1.102257,0.3323708 1.857042,1.1184422 2.154229,2.2435244 0.05645,0.2137228 0.06373,0.5643981 0.07519,3.6220748 0.0076,2.032169 -5.42e-4,3.370979 -0.02041,3.349261 -0.0182,-0.0199 -0.414296,-0.691472 -0.880217,-1.492382 -0.46592,-0.80091 -0.93093,-1.577954 -1.033354,-1.726764 -0.735716,-1.0689 -1.983568,-1.844244 -3.315972,-2.060353 -0.280375,-0.04548 -1.345158,-0.05334 -7.238708,-0.05347 -4.713933,-1.09e-4 -6.9931825,0.01221 -7.1717862,0.03874 -1.3002273,0.193134 -2.4770512,0.889916 -3.283628,1.944192 -0.1076466,0.140705 -0.8359664,1.353438 -1.6184885,2.694963 L 3.0017709,18.11149 Z" />
-</g>
-</svg>
diff --git a/docs/manual/graph_legend.html b/docs/manual/graph_legend.html
deleted file mode 100644
index 46efc2c..0000000
--- a/docs/manual/graph_legend.html
+++ /dev/null
@@ -1,173 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Graph Legend</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('graph_legend.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Graph Legend</div></div>
-</div><!--header-->
-<div class="contents">
-<p>This page explains how to interpret the graphs that are generated by doxygen.</p>
-<p>Consider the following example: </p><div class="fragment"><div class="line"><span class="comment">/*! Invisible class because of truncation */</span></div>
-<div class="line"><span class="keyword">class </span>Invisible { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! Truncated class, inheritance relation is hidden */</span></div>
-<div class="line"><span class="keyword">class </span>Truncated : <span class="keyword">public</span> Invisible { };</div>
-<div class="line"> </div>
-<div class="line"><span class="comment">/* Class not documented with doxygen comments */</span></div>
-<div class="line"><span class="keyword">class </span>Undocumented { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! Class that is inherited using public inheritance */</span></div>
-<div class="line"><span class="keyword">class </span>PublicBase : <span class="keyword">public</span> Truncated { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! A template class */</span></div>
-<div class="line"><span class="keyword">template</span>&lt;<span class="keyword">class</span> T&gt; <span class="keyword">class </span>Templ { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! Class that is inherited using protected inheritance */</span></div>
-<div class="line"><span class="keyword">class </span>ProtectedBase { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! Class that is inherited using private inheritance */</span></div>
-<div class="line"><span class="keyword">class </span>PrivateBase { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! Class that is used by the Inherited class */</span></div>
-<div class="line"><span class="keyword">class </span>Used { };</div>
-<div class="line"><span class="comment"></span> </div>
-<div class="line"><span class="comment">/*! Super class that inherits a number of other classes */</span></div>
-<div class="line"><span class="keyword">class </span>Inherited : <span class="keyword">public</span> PublicBase,</div>
-<div class="line">                  <span class="keyword">protected</span> ProtectedBase,</div>
-<div class="line">                  <span class="keyword">private</span> PrivateBase,</div>
-<div class="line">                  <span class="keyword">public</span> Undocumented,</div>
-<div class="line">                  <span class="keyword">public</span> Templ&lt;int&gt;</div>
-<div class="line">{</div>
-<div class="line">  <span class="keyword">private</span>:</div>
-<div class="line">    Used *m_usedClass;</div>
-<div class="line">};</div>
-</div><!-- fragment --><p> This will result in the following graph:</p>
-<center><img src="graph_legend.png" alt="" class="inline"/></center><p>The boxes in the above graph have the following meaning: </p>
-<ul>
-<li>
-A filled gray box represents the struct or class for which the graph is generated. </li>
-<li>
-A box with a black border denotes a documented struct or class. </li>
-<li>
-A box with a gray border denotes an undocumented struct or class. </li>
-<li>
-A box with a red border denotes a documented struct or class forwhich not all inheritance/containment relations are shown. A graph is truncated if it does not fit within the specified boundaries. </li>
-</ul>
-<p>The arrows have the following meaning: </p>
-<ul>
-<li>
-A blue arrow is used to visualize a public inheritance relation between two classes. </li>
-<li>
-A dark green arrow is used for protected inheritance. </li>
-<li>
-A dark red arrow is used for private inheritance. </li>
-<li>
-A purple dashed arrow is used if a class is contained or used by another class. The arrow is labelled with the variable(s) through which the pointed class or struct is accessible. </li>
-<li>
-A yellow dashed arrow denotes a relation between a template instance and the template class it was instantiated from. The arrow is labelled with the template parameters of the instance. </li>
-</ul>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/graph_legend.md5 b/docs/manual/graph_legend.md5
deleted file mode 100644
index da515da..0000000
--- a/docs/manual/graph_legend.md5
+++ /dev/null
@@ -1 +0,0 @@
-f74606a252eb303675caf37987d0b7af
\ No newline at end of file
diff --git a/docs/manual/graph_legend.png b/docs/manual/graph_legend.png
deleted file mode 100644
index 9f80d23298cbb09d18a9d504e2f1a7d4f0a17cb3..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 22891
zcmb5W1yq$$7cEK%f`o*0mq>S~Qc8m$BHi8HAl-tblypgVBi*Ugp}V{D?c@L7JKlKr
zzWc@-j)8~cIp4SU+H1`<*Ier}R8d|E?FHcr7#J9|5AVg5VPN30!0Ra_MDX(k(=r<P
z3sGN2N*v}1`sZg${&yG{a+nX|Z&h4V_ZM6|aa3=wPezmHzloARi^V|t2?s~{mD33m
zfs#gL9Ou=q_sAhQYTbV`2p<~vlpQ4`0u|%5zM<i|$GnGw3wsfQpyH0gM9Gvh@3D3B
zfN3xHp5h^P-K|Z#xi8IrGuhrGUBF?4Kv9}5H%|F~_X8)gVdfbenlI5Hc|w?_zn}ji
z`a8N@m2NKk^}hE%^Xk?LmgT#<x_+HIW8j2l!%WU2-IrCv7cL*d>9>#sC`%WH4X)TW
zA2>IqxC=yu4fXb#JRci^*r`w>d=TeI6;uz?Q_+3<b}>p6T$DyvJwf4Uv1Mnet*uV1
z@Eb0R_Rv5)gI6<&l!Sqs0L;H7s`8mp7X4dm^E+&%e{XHz{0O1{_o{46T;<<R+yY-`
z{oBp}!;3|)kFXDS3of&DK0b#i4!lX{yTvpuee4(Gy<}@!TfI6p9;o2k8#CAnf-!rx
z!JWTzK75yUn$4F_Tg^?>Uagtd&NlyB6!_z6>FJT@?($&JNmIS6RQgls5@wAR(bbI)
z^4=7i&u_R<lRAjjL^wlig3k@giH^5=j@z`?1DB4^ofWcF4p?(MQynA{a`2jh!tds6
z%R@M^yXJO(wn{c#FuA(A`rW8S#wcwwP7}R4jknafO|;<ZjmQ4d(?|lD_woTUwtX5m
z7Z(nUkIz$h!k%*zpTi~NTdu0MmZ4fJtZ3rQx2~?GXAj=1&uT3Gb|i@`8N07Wi@aA*
z7-c)?|Co>TO9_5(AUPvL=0oNe3ZELNl@g2Umb{64D-3!ojRtW?w`6G*(y3WlS*I;1
zeFrx>b{yRgP4jYdSL_>*kdXS=tlZuC3kwUMAtK@m9JW0i*rd0eg=xi;8EH##p7def
zcXlLknV?^2R4<F1ZLW~vCLE|KwKW~CmRv2FOs5My<2G#<n9ReR%R&AfNoeO#rkyJ6
zfar@LlZXZ0Vk&Kl3R2S<-aBeuqchmR)3N>QG(Fxd_PpZ<_eTF#I{eRJIUc+788*au
zFCMa?G?ezu5{-sU79WacH;1o8T&saT_wbmox+|4Ne=HVLe-1Kd8$^>5^A?mvs7ceQ
z+F30&CtH*@1RWpSe)acvTM5JyobJ+Ua$Y$)8tn?jE>tTc{r&s5;N5<e;M4utpCZ-p
zA6yov+u6}@<#ub5Ke(+1J}L-F_#>hfXf<*BKY#g}hGrv+EmhDhmhNL7tA1CAe%a_)
zrkLAN%N4KFu1dwAGELbKwh|@<6H_F?)6GkVe1&|mCTBkD;r#skwOT8fkyN3<L>;eg
zKP$-0bvNGrOiPNyV1nK97{wu}a4OyR*LIs@6nSkA+zM^Sa7|Z-2+Iv>+AAAvPibpS
z&L<CzPO=$7DZ?6dr{HD4-@?w01_uK7tA$iK`Mf197rS0xSn7k>&Z&#NWNadtp<uGu
z*dGJm^g3NV&rPF_=DNi?gR5M-!zvdIL71o{^Lkt|KHOfcMF|{|)6s>NXw<Qrj1cSV
z>kCfi<mR5NMT=B=-8nD%JbCp*lZ{4;JoYWNc&N8}@*Opwp?~=Bp<a{O`EdS&xjFsw
zm!yVIj}M+_!#p=rE1FHtOjipoWN3t(y1&07obOGS&FuYY^YPgn%}@Y0B;a>^vo}@3
z;GA5v?ppHq-h!n?+_292TD8!A+>EyQ^abqSqVY^C4eRDdckkH>|Cv$YY(0NO)Ydh0
z7|JH6wYAx*lZ%V)TB}X@jFGgurIC{yYHvsbwup#`_su~au@Q@AW8C?<V^0);e+Y(V
z6So*5`ub#dxO$5*+S|8p1qGZLx!~a&e2#U$)LE*pLIAeKHNIlhtY=;O!Ru_<!^Os%
zL?IS*ypx|{oN~C4sPmedy6a5)j?JJ)F<+j<{e0W6tc<12s9{l3O6p^-G)_lnCjo~s
zs!Rf7|EH<(Y^h{cJ-Fc%9+R1JJx+_M2rEc!h5284>!yQR{jy0Cm-*kje~WLx)lL5t
zU_uSW^rd?FVp?bG`edz}SqDcUbQ+VX;FFq8+7@sAWb%PS+L+?#l4|iM8X=*ymb<IT
zEcGhONh7QNR@+(jysj=?b=+xf2Q*<};Ra@ltHl<mJE-<X%?9Z>T>SkN7M(wd#$!n2
zEf$P^Q<ek(Use8Ku_dL-WOSlPwb-(=tYPzqWd=A96vJxe=caSjg(j(Nhyb*V)c^ca
z|NiY8#%Mhv8sWFNxVVyEeSPoIiFrk3Wl;f)c+_%}(CmaUlrBRdvl~yx@bUgeTtWhq
zh-k1Ul1RqLtw^^yA;fq<aG9N~8-9PTiWb88DZ!t;DqZ^h!CY6FR*F?49UB|!HYCxY
zH~OqY<nedi$w|6ElH6Q%ztfG=JF!BoV%$5Q$64&binZPk!Y)zCPY)~*Y^+MTwvAx2
zkoucV%3p<GPfljVAM?>`ET)ZtANpuxN0U(T@$o?%-MDnWij+;ln2e-S(9m>G{@mFs
zYs<4+>zU2-xjU$H1LlXiqr=w7#_#83IcjCvZi}My^ofJr03MULEO71Y?0^GDgR_s@
zW>;BpYZ1GXOw@_$Tp_=#8ih$}(}jJGPSUvT34eQObZ6660gePlSfesvddV%g(P_8*
zs2$cE0b%@pfI(=@`DkJ9#{Qb0I2}<z$fhAsL_Xb6-jb2B<I(^54u>hmnea`(V~cym
z!L-he>&iRvfB>hxnPw*oGfPB(+yi^=m;3!>KKH*<`5f3wLxCgYE0Aptr>NzeT0)F>
z{}jU9UqWmczf_0x_4Qd!&Vz9DJRg?=$tF0(x-k@Ndc0gu3>-`^OWVEjzSCT-RZ9Nv
zKWC#N3e%-pvvoFPWM1c(JbRHeWoPb`y8tAYNZkVTUW&+?et$i5f8-OoKXs6GR%7-z
zj7P^K^6g7O(FNmS*TZ<V>nn@06<glzrD8laE-UHI1SYdTja+AVjO6Cqis{}b66hqt
zL+!BeuDa)@n_WE<+oyxcCzp^2Qh|iQvW6fANNw)lziMZ7Qlu-lmj^dn;Vkyk{x6l=
zBv67xPLV+PGWwTfL33$~WF#Rt3RKBx(qRyoBk^k5ABsPfR5~TA;KRbgdOqH4X?ovm
zRGUo(MUe=wJMYhE=A)sbZ-&yQFXv}?uYOk$rT|bEOzK|1TMRF%qVftPeEpS<!29d9
zXu-$pwLhg=O*0!sv3BEO_;4<8PiyP_%4q9<b|!h#<llYuN8!?uHm8@0CRqy`WFBO*
zK6-q3_V?G$jt4Xu?gj?xMXanBepGphbo|E#>a7QDkJ1a}<-}gGqzcljeH8|p3(amT
zWH`?dVCRj<Yi&886b9kyxbx*vSVV;7eA~0d`^41Lq00kEp++4uK+reJ1OPwtZI)W0
zc?bSEx?+pF6JRE)1?-y4iCg?yDl|%n?W+LY8tgX?L0;mdbJiQ^+;bA=_{*qITc`T)
z;2`(TkGQjQRIL=z-Z3I$mR^J>lY%0^xX`i$*i_XJ7|!v{@16!UB5uYBPnsCf1aX3*
zbJvIQW+*$PPbcIuw_R|Wb`wB#3Z489*P<zP+MD|IrDg!4S0I!6KWP^yrs_WerkxpD
z0R3*<Y1mgD8joc^WmGXJ`RJ}On|zIhjom^b8R&R@tY;IfNP$C*DFov=)Df6VA`_EZ
zg1HY<;JxXRSZC1R3v2WIXPk18z5{<63N|)2Q9`14b&yRX{BlIqK(6P*NDqGYv_t$t
zIgb6)F^+vk-5QkAs{HOJK1}4>zG#YNxN;JYTp>lhau+}ccbCQ)5c)ZNG;o+zcHJB&
zR4@CEsZ$U2ny_OjnzOf=<U4f5r?eFTtJK*Oxhb{|BJK~RIRh6YN`tKLVK8myP|uwO
zp_`(I!SfgN5jelqN{-(Xf92W^=l{E7)!XKIHn>M290n=*TH&w25^$$q^TI!(ztAK$
zEbMQLI$_j}UHdN@mtAE+@1){w$ep<I{oyuJ!hj>7WiedZO{SrRYS)?LnXQR8_wp&*
z{6_aTa78*NHsRT_C0`VcvZZ*{203xRJGN^>Z;WGv>S-^qt=)-)gWJgE@bNttBUNVX
zam?Zz1Y54yZ1cC_F$_7mJo^9c_Gn1TSGI(R@ug1_EF3w0P+Vnx9-h~MAl{k?G12LN
zZ0w4>L8lF~#am5sgB??%J~2Y-1h0s)13n}UBKaA*>OiA<yzh4xM6ROt!aFKBnhi4I
zWSVq5y7hu(Cy0c?*L>57MzT;V4P<zBp?$l$ATsR}1lQx<V8*Nopn%)Ck&U%R78_tB
zhn|R5>M#bg{e!SbWRdv5U#8=2(+c$Yb|qAb8+p^~hjY4)%_Xz>8~J>wVU=meKXY!p
z(Okb}x|hf47)pa4@f$T4@t5<W&w?;e<>Ac`Com>3CxkN4<O7!52^}w-o1rU#E2V}*
zdTXoyzVn-8&%(Il=vIW?@0`7hCU!el0pE8Owv>Y5zNuu?xL1Y%ThE@J_)4HAYaU&G
zmM*lU`Y~^R+UC2}m)wEi6$TpTYw6GnXJY7e>3NgIehs|^r=r>5&RGUMs$6<>Iq`Vt
zi#RpY|3k_0MrVNsd`7t_Yv$kpChqD#<xL^G$>EB+P4CZU1+rlVsD0?l#svP=H1v3@
zYinY@Pl>Uy?4=4B!e)z6QaBll|Kd%hK^Ib+!ItNxs5mBZmKYEakb#YbML9sptm^14
z^{+PCcvok=fDX%}!z;+mJw?mOSuH6p-qp|OZvm;*%H7ZUDDmHjWhOW|IeD94v|s>n
zhJ=KKV5;|)s8{91gjiz6Al6z1-&|jVS6dNmWiVXeCfwI|cUN+9a#|<>>IpTh!ouE;
z;JVN87}wwph9vVR`Rb&iN%IG6Fa98${|8Q*t%rYbrGc+L8bt8Dp{#?IVNUJYuvZry
zX7o45H?WqMk+FC~$pa(zQCZpgV6Mi3Xt}@&0?#b_4p!WdjkRxj`byE$^Zq$lCQtl?
zd13hfFpvX#aL@DN1>DNwDQqpj70Ok3&uv@Y($<~4luNv7;yTEKtf8SH`?1!$cO8h!
zMd8B^gG_avaGqFXWIlmL>Muk3e6X;vlq1<DBiX71Tn;^(3-)qfNd2eWbn9%xf`5Jm
zV`(tdH<BjcV;m9Ffva3&{?|ZVI1k_8g(eFpC8a*gab-wzrSrkuTS|60@xy1<Z!C$6
zO#jEmvrY<K>R>X$`<`1&m!`G3U+lJ4R8$BD(t#ZF-8msTkM*plw^v~5m%76qs6&Kt
zVhGypmkT@MGQ*^f{?)nz4DXbuUOOGkIlb4^)GUvV9`#BviY)t>FE0x=<s)wR2^gQH
z`^}=6`X^m$s;N>fj~d7Usc}Suns^kELEhc%EqdEY50Szv1Ggfi|AMue)6wFC%d*_^
zFmRlxb|ix#4^g{Y*a!S;TX0gUjgC9)w0lUH$;J`0){skI4eJIY1Ga=r`lkO~Fi?!{
zxp;bdR@fwT_x3*D_$2=!u0%TM5b0m6+f!0fYSJk7^a}>zHCd{%S69UTi<HwBEmZ%i
zdz=5yVEA7v{r@%Py!d}aU?DrLgDInf>HYz4oQs*rzi>JY@=1Gok}s3YY?l6yZK0v|
z|MTisa?m(G4O&=47j?_{PZFee*d$HAa7G=t`|q*Go&G=91CZr^BVw@Pq2qIzt4M)J
zK9^*bpeRA)hG!M=zE7z$pnEe|xtPT7w5yh@blDd}wUsE@P~`YI;o|R~!jDUDA}h1A
zvJgZ2(sGq*2U0>J(uBQke^0!*d$?NinW+2~1>UCDQc_a#moA*=5zo;xiz_)biQr?k
znyXgsPo&?y5vV&eh&oKMgjkzK5X=AqR2ly3^QGbabgP%eQI8U93Xe@s?ZJ&`A$3+y
zl3yed&+9jD3OK{mXiP`bg;II#vN-X^Czh6;%9u22|Im^dk#ljygPI3c96mQT<V(We
z@zGJ6pWbbQ(Q$FF<kR?7%{QQqh=h!6rdg)lqO1`#uyef9Nlim@fGEA!qZP>Sv*qGF
zR7Ezflr0%=trD-IZaHne&^Vqc7ObojMW0^yF+ahXQd(E{r^BBDCGXru3<ObqeM&%T
z?F(6G-@FO2C~K+xlb9{t6GJ66)97ST$eitUcX@ua)TWY{S*g+N%Eq8p%J|nvCFjh=
zd#m?FjM+c1Ej;~iwA1~c#ijr0axo@Xa)Bqi#bvQ^aqBn4`1pMXbxZP)S}PX*BVa~w
zWc1jtW&79;!8tXbPslW1&RI~?(w>2DuzTOT-rt`d4!74@rF*h_)M*1H0?ODO0p=|;
zsD5~5vZPfce7j9`e}7+pPzyQ#{3f7-6a|#s2)FVHuO6)N7E^3mKLGk#f7rNJiIySa
zBa9yG53y-$88c!AH2}S8(O9usS?r4{O}eAKr!H)Tb^iGkTUN7)9Az!%DGPVNAyK$&
z)H7@bQnt5E8(oe@<aie1tge5lR~=tmY%F>lF^z8+X`4LVPPgGU{laRXx&<W?psFIv
zw!F5y#QO_PiQrf;ad4c*-J*&4IzXY}K;m+_ul`ygUG~ctLNhZn%eiV~NbMQZXss1^
zbLgn;N&aH@Z{e33dXf8McuY*p=BLLyi7#zozj*JMd4T^=3k$c-*x}@-0)BY{YT~^L
z#rJ_ixG!$gnv=dBS}bG)^4Kg2*4iwk8(ib*c>V?nB3xw?)S`n4Od4TCKh!R^$NkG%
z>E{F_2JUW~7Ody3d61EjhcZN#&Snps6K^Z4v?o!DS+`PR8`0xwK?OBh(>6yVlMpBE
zlb<|28>>j^A`Xj)ir)_8kHZ^5t2xe|D3U=S4kDqVGAa_}D`ZHD7pPYmN7-HMO>Ygd
zv<-1XwK!~Sv$3CVqjrK{lBFLo_d|>Pp=1sMA$P~x9q*?H7xU@TNVeG}XLAU5Zxl&3
zuv<fq`|0`zIC%JqU#B`vnLqEC|0DGIhzC5}T>(r_vuv|eNacO&?(QCCv|iJ4Iu{(s
z^n7`~!9k_?6H~7(uu3Uw?>k#t+o+@U?)BP8l%_H#p9Io6h@8E>ed*RdDA+ZR^h1$C
zLqnfEf4+8flwp->1tAu4kIQPl=-sdf8lRw19#E$28|)vVGK9T;09|6ManxQT|2wV1
zsv|#&s=W4|&SLY!B?KmdL;zU0)>YV~apvU6zQLA1E!`?6At7jRgOZ$_ytjI1XD25w
z5103OpMo_XjN$$ghslVcM~bfY)~onT-mUiL(yDGHbCWqDo8}l$ZrcI+4~{Xat<9%a
z=Pgu*Dydt9V@Kb|q>{wI#g#1iQggkh^E5D9Wl|MiXEI9q_3Kx`PCUlXqNb*AfMD`d
zuQRCm@pkW~XU&n{Y`(r?>kP=o4ZB6fri;yddU|@Zq&F?60}Pzze?mZw{ISj3YpO(J
zi=fW!%(%2+lMrY&$e=I`#M2fP4{Ob2eye_^1wiES@p0$}SNQG49uPj-Cvs(wQBc-`
zh^)y0tn`xk02(2e!fnOte*Oj?5p~)Br7+CtlD6AHXGcPn?aDh~KPg2;3=#q7^>#n_
zo6-zY6oka33Rd8<qb`*uqv?XT+u7+iz$ZbiwGKQC@pQ2#aACS({6Sq1h|JkWg9)D3
zE5X$k(^1@3bF8Lg<f9GFAW$`37M!Zh|Av9^PU{SQ>9MKR;?8vdsWWN!g@wMKsN+5B
zU~&LT`Fx;nIvy>if$|qPC44(zD`tRF)Qal?H43^lfP~|})H(9x(*{6%DS+MJi+BrS
z)5_<7ko$KnZTEhTB?XZOaRBc^ldZtWA@5uF{xrGR#Ky+rv*`zHT@MwfhL`wA#4eq*
zSxhtEKRhJ!+EIeYrsCyIGRg2t*vjxp|59VFRAnqTdgZg$6Uk{c7nh&z9tMOY#U^Jf
z#FwP9($WJG2E1;k)F1O?^}0eZ`Ff0oVF7uP(A6b}DvX(#nd$WWAmBzWQe*%AS7(*J
zs3}gY%u0tx@knEez>*RF9veH;;=$A8a<m!F(z={%lAZ~252wu{F=oFVgRqd$f<wnG
zNQG=Yw#UnFTklV0YAt7Dvqu1_Oo!hBr!?<%wIG|!9thl()$7(V-TT(e`DpPV+57f<
z2Pz9g<>7f}h!s@ag#Mm>GAeXM43Z6dZ#3D~-BFtf_@E_Fnt|a@HdAa)0YCz+tji!;
zsHfg;%{QX=#s4a@jw07K)AzNeuo)nNSjYu<f=b94lFVTOIxLu%`?H;(pigEuda>m5
zBm{gJXp`SS_S<Y~IfVoV($Uh;1VRN$pjkNFU)zzoZ&QG_NvhQYND}oO#3<7`J}p}U
ze6Gj3!jIPmqXtz00nbLczc$y|>0LU#UdW(f;p0oTX?sX0YrPFaK*22s;q|HHiv&<|
zqlItZbOxar063lZIBMzY?uI4!ThtRl&<O<do5QA~&vn)$Koc8E7fJz+cs64Yed6<U
z<#T_3HX1=DlJ4_(ma)IoMh1*uHvpOmQE5Pk^?tZeTU}kf?gjcDxM*)#+v5O;up1CR
z*C3zp*{we7@9#$?;*J0Ua}{VyeERhn2*)VbK#D)r%HJ4F1ocA4`OYK(udQzD#(Lc&
z&WE>APu10&-uEX`07XW?F^mHB^yZ|OY_`dTWiXLtE6rsQNIl3v$pazqK~8RC`L{n<
zS%yvP&FiJxe89msTJH|C-})mmelBl!SnQ*>K!>s293p`F2+%m&flxMEVemX0mubLG
zzCjV_ipe0y0@OFz9?P7?st7AB*lPc(X%e2@g*A?h{dx>AjW2c92R9phUbp9Pqfhe=
zqnO0Rvd|R0SK9QsLSG_%vZtqK0*G+H|4~H^4XJ^e$JW}~nr<fk4D&a>7$Dr3m<ocm
zRva#enupD2@=;_WBjBKdGBU{8?oUxD-`U%<v$3%Ou5>cQF<S0^VNSk=2Qmb|L2s0V
zI1)O#ao;xz&)c1RiCM$Mh_Cxi)7l=9K(iIT+vn)$=n$k01HF(SRDup@kY>-{*Q&j}
z)O$Oi4$uUuj00DPO1{9F82~IzQgosNzcLI}e5?804kCrmX*X^wM;L$^SbhWm?pDb4
zJA~QNMiH4_&?R#LYO*Adk<FG`g_@iX^nn|Jw$bUB*h|3U&<^X@&`TS4>B-l$AQTi7
zj(byRzUAet)-4yGK9y?r$I{3YsFkH}J#3{3xNNpuEe>AXrKNx_l`=pJz)jHGL6~ke
z>}}Zc3Vz6)+%dd9UI{@0Yo2%CE14}NX(*WtJY}G5yC{4A!u=lDY7kU2u9tgBYz75D
z7#4CrZ=aq{T=Kpf=CE>f<WwzEp%4^I1yW+UVSlWp5eZ0&&?5wWr64pS$tvUFnOZ9%
zpe(M|LaZ4S=K+laNzNCYgx_{8l4sLhzG3YDtm7kmv367a<DmN%n)URZ#A#)dzLi+d
zb{m#tV3U%{XG=y3W@yw|4?jI#wFz!50G|apt&f|rY9nEA15S6nFJ^W(=3u76AD8LN
zF*s^PkiT%5HT&Y|K9)0v1A>c7Mn(ox+I%W4e19yq=(>iM?zTzrrPi{ap{%(B(9n^?
zg(g1G-~oAbpmra0!SdSoyyyVt3~Fw*cwE_cLVE%(-8gE;{j?eDNwjST@k_#tvV36A
zS%7?i<^eu5d#NQEP!td0UP2uen${*2M2v1uH()*|#BXu8D!#2PJ{<juf`mj4)b`$E
zK=9wadsm5uf{uQ9e{ggZ4GwCd(aCXpi~{1A-13H4(DfV0YlcMAKi|S9u;`5Z_J7_0
zl5|z%pruhO@L}Q;&Cfa<oSd)vO#9IYwvuFf@IkV?yE>u;hy_)(&$un77?+$H6}|rp
z1JO@I{DH}Lxn`4j>2}F?-Ia{yQ@@fAuFU}*t0m<lU)${TgMS_p8oC0s@lmD3CUPK@
zuiZ33o4ZAL?ob0v$grHOhO@ByJbGqjWrajW8i9lr7`3LX2>f;=mG8U3b%Vne5()}@
zm^V6OpHnTbG$ZD)!X|7&jjHyPP97k1odD{*nS7oet~8xzjocFOu&`pYCFa3t;j`+B
zrpMcGyqp1t>~OxVr0u$b(E4zxq3~%b=L0qjI+^eg;N4vSo%p=(c|YcJ*N3G1k68eD
zqx0?Y^WDGUp!kEP&C8>uBlUb>rw#Y4vI1agdlmdq3!ja;7UR+Mv@PN0@)c$8jiFRN
z4yod0z}7G@fmXx6U7^T-*!JWd^pZ>-q;#mT3^Ih!H>IODWmcY<S(a)G8EzJ1KVd<(
z@rqi3)Y(99F&kuLmGn)Wg%S8Yh)K{114%s(`~$R43I$O}JxH`lz%PL*<Fi$vP3;}f
z{3@OH2NYw2U@(x~00kMD0uU!ac3cPUK@#S3IZWMR^ReD@%)B26jf@<2cwmVAO8SH_
z%ku4HM$lrd6r=`z4I%43Q_c&JY}g&Q6*ouH1_94{4@$+;`<NdoU-y@qLFW;W(H>B#
zgoKA@>$G`C5OCxv8fi+G)~|*UFG=}=UZ#6#u!PWa+zoyWe4`1*YJfq!#OV4427VF3
z`<0&@of<ToZ#GjzdnE79Cl!REEgd*?+hL%&q$3ao_Ikf+)b-(Fx{4+fn&kocAm(=r
z0ql$oP_o^r5*YyMGoWDt6re1(v(5Aym!rkVkaD1ILjg@5uy(*wK^8bk{quio+6b2P
z+@0@qHoKikJNs*OfL6yK=&EiPlG(3zAtx|v?au0eWRNQCMcC)#p=C*iTb=s&a93po
z;fCgM&<+ZC#%;5h%495rJ0N*=xKLr00-8ET#VPSi+(BQD_GBAHP!6HpTrg|!w^)se
zGAAeJ_;#<%0Wb=<3;)>`4;Ro8`3*W-7?^<8S$N;>(85?ZY~U(r$@iI>R)TbLdv&A$
zd}Ox4ffgVE96RARFzA6nNGJ`^+>V!+QLFKlZ>~%tZXxX0FwfEuD8)aQ>-yzyJOUG;
zsJINT*t#B)Zm7w7@9D(EouAl1xB-|TEQ12gU_48L?~r%t|FtWn_ET#ArXLEewN?;8
zv_ilo+!~z^23o!DphN()`clGcG;JC|#RzRe%Oo;Oi1WG}60<ZP!vU6fDQLyG%U4c5
zJ&OgMQxO27NDk`{PBTj2tH!O95kx%l5o|!=qik`%hy^Lp4FEY5oa}El5@kT~L(Rx2
z%QzV8ao8X=F*ylk3vhh^^(cT8_(~L@02L*rP0K~X_3f?n=g&!+PJdM^b$`QQV%qVi
z!5Q9xfTskongB4;HE(AkH#{IHXaGk|6VNo&n1X^gVAddgA5y0P0+|{lpBRuy-hY2B
zXE;}FmVS}MVG{N1*|Yb+#@*A?YC-5E^q_V|So{Q38+PbkWGtQ}BqaKQ6*ctlnD>PH
zIPF%&!EsCg1VKhcjRVddI=S--GX^9~X;3bJiGhbBi8?jyyYli4sOq4vp75twO@WZd
zn(=DhAzJX^d@}LA;`s6IXz-t)v|54j02o|8E@wIr8SuPmCB&gb7>KMf&~hVaqb~9#
zso>{jFR#L*QP4;>@@~^em=aC{V16Hnf;Rwo8_NCBtVu?^uP;oYc1z>+_4RvG(}JNC
zo>2~OKx^Ro0FBusaNaAa8z@l9HUtwt?AG(V6^t?fj;Rv0oRgs(JKYX&>r@b@4IqK%
z0)^Bb^k)YFe=`D~$08wNLJt-Ls0XTXXcuXX?kO{v6w4q2H0?BiPDu%1DgjU1l|qV9
z<mtW&rqXzraI_hG1w=jc0_<+5hJ~L>en2fjj2?_i%&Q2(!EW4%P}s8`2-$-`P)WAo
z!_#>BdVdGP#t1Aecj}=75c*~d;JpaK@*F}ZUD%*1OoStON?yA7^Cx1me`hiu;TyQM
z`{vcfMLcLh4>UUMQInI4x?deKL3gH7@<sKq_0HO^L9;<yp>nQV&mVAIS>W403^b?C
zh67JRLQo0V|5+Tf-|eBV2*eD#eizaWSOiMTaOIb3(-^_~<4!&XlEiNv>1`6?U?779
zM0jF*yD0RGzzwB6J)2FM2RG<X`B=;LEZ=Sb2~CO401ycmLW9S|8;d;ZG=8TSV4fh`
zS~(9K;mY1#O39*>x3aP_C}&M;Z^Z&DT#mG%W%fff&Fk0hw@r7TK!h^qIg7GkB^Mfy
zf<ejo5p)tX?^uUN!7*aQG=Xsu{qR@k5~)k$e7jun)j&C@H0VVKo|ald`f0Nsl*Asp
zm>@&_t6ZQX4#a%+0mWsljf&CE>~3qHp(+_DLT`CrzcyCPglG0GC@9z-8yhpx@w)gc
zv&u#7W@TU?n|bMEmw=F4Cj$C_ZXjYYV=Tapy_p@y5THWl4JeY}%UUky-VK{TxIxI~
z0Ott^4#snDpp{Quo~bYZ1t@3l)gCA!p#AVc=B5ZxpBfP*{`escEKmwL1#%7O@dBMj
zYumMwAK(hO3N>hyC_coe18D>#Ik%{W`+<I&2bN6`GnNaD@gVGQTCogap=Z-XNkv6u
z!c9&ewd#EYGgYReu+-|s2ddlW=)^z4V)&xM!+`^&KPao<rGJ#JwCpqeRcF63umGyx
z{+4tlHk^xl0QAu03wqoQpOUd-C^O*09nyx6?mxc<-Q0~SC9hAQ`e0FU1EU~J_E<00
zlX&)!`P&j=l1t9%tA76cNnD0D#Lrv|SiSdMIqL?1Aa_FESAnD`xh!o~nn_+-^G2#Y
z51=_vD=8SL3OKqTb`S8NQ|X9@hlev+Q*$7vuDezaSmNk>#&fPr*WtSXMZWSxuMa?`
za88{M)M5YDzAuw(q+V^Ad?iL;AR9C4*WEI*nS0v8FAi;K<z|8PyDjD@((~Zl<@-Su
z{sCD~76?WDp|3Kt;(3}B{r36N%+C;>PI3tR)s+L6kKr(4U$4yAS@>#QlPlk5*MF%_
zXy;&N@W+2U%QXG(L)wwLq<N5#5dGgqz*BABbI#NTqFuwu4;p`Il7q>QCb>4VlHRtt
zVf?u|CUpiC=9Ovsg1QN2^R8jN@r#hI-DAfzk>Q?qy&ru*o3^1(dEcV&pWaR(mg5Ku
zlRPVe=il#`@Nk<Pb(2?fN-6wtqtgO7O6k#?QjvtJ33e*x<0q>#iSL-~FxK~8_Z^5a
zS$<^{`-W8G`vw0i#@7f8Mq%;MZL_H@Rc$aG1Bx`Gdc<92Cs3b@JTR*<N<|T`0Jm90
z7t^A&ggCRPS5o&j&8zO5ot)ThaUJ%TS<5ERS$}NyBNg@bBH=@$)L&07kRy3*LZYNT
zvc!j_ggFZ{zY+ME9s#+D|MMgJ?Qcx@d<n=q)_0NcW-2v|?T8TH3RqY+UbLAlk9V~&
zI&3ql6a7_Uo|xlaYN-9xcO|i^{=~egss;A+?a%Hp$zf?Ne*B=_Q`|Cyfi<IP5FD&T
z*YqsP!i>3TubrS@g6vw&{du_Nn*QZ<bAxk_Flp4jwAA+Jvd{`*^EpA)oaOBsG_$-f
z@$kQSoLkv<?irF)LhTzgqv39@B9l^lF+`fCHfoRyK7Kc^u^@c<QPagjj!`V_d(qjf
z@L|rWXg#~+vnI1zl-0RpFPds`{;do97}+|@*Z%t1WE9v$qZz9RA=`DAX(JCKH3=b~
zEoX1Wcywpg$E;89g?K#Q_ps!C<p@Dq8s0Z5Wl8IM1*25mv57)nhd!yyN-V((w=c%~
zbp@$Ik1>jZxTD)!_~%58C!@vpj?P|`a~{eoA*XBG+(HG_^oY-N2MCY;<*t$}93zku
z6~rsX@9jmlHC6=%>VI%DOGQag2xs2av;Co3n@`BjcBINdI?ot~cq(1SB<gUK-Q{IY
z*4`4ZJ@_I0d~wVrIYqvy&fHfMfv*vP-_`uxJ+Egn`oQu_77y<Lkrmew!lZk0XNY*z
zb!rTyY|pa)vPZ>DSC1L$?R{>w+?rI@cEs=()S7RWOW%u-)L_)e=V5sJO<(Saj)-{M
z*%FnP53QAY;=+$2S*Ct&dmQW!MsLAIW43vo%U(o8BD;2^e};ufhMCn&^3iC;q<}W)
z0+A6@(--24nHko<H}!qF=bN$E`p}}WmU@rIVs|yfv1)Mm3%rS6e7hJrn@q5knG3Nl
z2qrH-k)=3Y+ZXoe^*rV>0xjv;k@3yF_{pSZd7=IZGnTNYzbsC-7*#6J7zWAtxgvGS
zw?k|rA`Ch5BSv_OzS)`lrp^9M)nwYf${tZY(a6Yl!m#|R=bHRfS=9BqXBr^b?Vi6%
zD1L*=4-#3U>~ApvaQP#tD-1Ths_H}gR^B+DgMNSL8GbGDQ(AabWC4Ff{hgZJI~0};
z$7LSTvOkl46iO+Oml1RGkN!i{uiD%5$&;rsAR)8MRGYg6!v|c*LZExD1DCbdZATv2
zMsdG(PugFmf2IV_fbeOKyV&@Gt@kYX6OP)eM7=6pq~P%R8t$2y2t!1UL2B-9kT;CO
zjnE{!5+j;2xsUbj^;f&LBidBeG1;huO>(Tx@+xe}uk~%ij>m_zH(_mp)sj)4H2L)$
z#&afoWdb<#Ly~3(Et$e+2EG$m@dP(To})>hJspo^Xy6ty-~PE=s^QS*rkMGB`h>+(
zLq?W1jwPO!AG%Frc>SV*G|A*==K3%070R{RCwlmYXV$OR5)Zj`D@5m$Cx4~+n7nNY
zS47~BYvg?oL-^f?{Z@dP@EEqx2s`PAO539-W+=^GgKQVB!Bhy_RkVQP_Rp)VVnNBS
z4@n3534ZUNF*w+~mt=^1%i)o%&`hXH!|54l`O4Jhw6Q|ZmT)BwpVC<TM}~b`9@dY=
z6-aGu(xarTkKd(e7}I9YxW*g~of2MGSM|ba?#3D^&uY`&>Ha|;`=t0e7RQ@UMN<X+
zu2h2WdOiqN-3Dj`U~+h*yoAZZmElTc;UU~cKYw2OdW}n82bs|h1w~}r>eAhSgg$5d
z&u=-wcOUI#BoTg>Bh)AEShAd5(-+cZX8s+$xlLdG>ZKoH7iN`D<hoth8T_=CdrTj=
zGHCRTtqVzIt>XcPSs-$b<9QN?_KPxQ!U|==*$xQe?I!o4ugo&<n42U^RaHc1)4Hrh
z)rO?!{8eaDD<UCWurEzdC0^QzQ;*2a-$=S{IuXK(b7s>;PRtf@G#$DJOk-HCK2twh
z{c&Amh3`p_^Ul?rijBM`QI~-C<QRH&qN#qoA4~$ZQNwm9%vaV?P)nFi+n;?yCx#(}
zMez-l-P&W1uE6^7ij<U=5)=P>$;jP}jvXas20xR<ABSM{hr?V9hMWRb<;eqMELKgJ
z?`Q7%C|#rbMvWd6&C+I2C+Pf$<RdW?oQa6>?$T?Gvx5ziIKt7CvY`FqB9^`6VDl+B
zh5}!mv7Flc<J|?~caIF2qAoK^cVwa#<z3#uWKkVI9pg)OrWfowj?KK6`KNdW+fqFw
zlg^?){G8zIdN6oeXj9m3B^avTm{b0GXWE(J;**O1DChM!0(+}}Eii`pIhr*&$n#zG
zlo}%wc4sFU?4ulMi!Z+Ii&R{LAYq5?Z`>GfU^_p(cY%N63Yv?RiYAk^)pON%XW_{G
zwN|VmK2#p>2v5p0_VQYLc`5OR?Mj!wvujgm=!Vt;k+#D-|2uQlU5c1?<Q*1e$avSJ
z2PY=e^PsYCn25V_M@EljZ_c8%>6}uzwVpK+iTV5_wSCq31vBBg;q$$=$eC2Xq?R9A
zHX<&A?;h-PL_A^5-*@+J`q8VeEqh{4OfB((Tx{7@_o5S;r+24XI`q^%nAwxj@cnqw
zKgfC(F|HOB1eJXIfS4|*LqfBZt~URUs)SO7AF*3Hp3o1K`xtc$OHT-Q%|x6~p^QXq
zt$T?!UJT#dz*fJibDDDX;l0C9cxGbgOoE8oO{Yk1G3F#0)o;KQ<_`{%R1P^YOANEJ
zyZL8gYAGFg#<YH-5L_s>Jzssc%6vve!QWx(6LAxoMQEL%8v-M2$S>xQX8lUe?hFY7
zAr)@1H?hAt`1K==slMyA^Ky|OEry-m5GkX@^5pZEkBZJQs)AGrG8Sx}vXWeJf_GWW
zLm!D%Z98$L(bjrdm+8n+lY;f$X`@92u_QhPuRQhf_PV5u52n89v>p5dKqv5X?O!Rz
zCJ}u~KSKN)?Jh>*ng*}xy0woDlj7B}MA$5UCnrKNQoMV{Q0h^yNjlBp?dsLJTcXDk
zdK=tci6~zqb)s|~JG4$3S2vTP3Cc?{OsO0Gq55m30rz^U_=-N^V(7*?RS-4Aa2`3$
zVE#}^flTPfehEH9Z05<TO)kf8r07^B5*|p6IQfDhwG@jhZAX~NwsPTKIX=_tHDbyj
zb-3@w5<fh3=mb0i{~&JW%*}J<NAqcMk0-R49dMVBXVd>cdEeeg=|_{z?KE?=G4@9S
zj8|3mTb>)DJdD=$T}jO_;mTm(KA-WtaVGm%s3Vmi$N4F9*9SctQ5aRsl@O`>SVZ$a
zTpi~qt;5Jn-ye}j7cxr}Y&4J1&2GHDgidnX&fuqN`;s}HA_25;pIr5{#)*v2*_Yy+
zWO0T=HYVnRf+JU8mtRuJUN~_yDE=)JmzA)=W(5H$6&WM8WA>OKa_=x$1s%%*^N{ok
z{`$G*k)r%*3h$e~kLS<v!4o}OwM^-*y2Y3K8K#e+TF|eHx`y!uMutuHbr7#j@F!9U
ze;mcOM>g@Vu(CZV1GS-SXpw#S3N)|LudD-bCd+ZyC-EQ6brX@MV`oirkEJ>z1H`2)
z61gO}EF0zn^ius=dycV>ql#ZtiG;Amm!{vGM-iFlHxR3mK3?8ZEk;Si3(ASB`k`sj
zJ28>D6N-rhkcui!F=u%adkU8X^KBgP4#u1QI%7KMg-!F7Yu8BCM?YhEoKw5VM_yUs
zV02Z45r0hfytZ`|eYlMYVMILi;%BofO%(g32%PRM{$ub;8Cr4qx+vkezU$$=SDiYC
zJAvFI3LXEKU+^S5;m3lu{`s)V3JEIb0zdG6xGmI0YSr#UCwYtF`O#%_*OBcV)T{J^
z@lu@rpPx?()xUF7I!bLvXHpR`eXk?bL&goS2`_j@_|^k8nra?xzx$Z`Z*or?-6xZQ
z`0lRbW7v>p8;z-jHFT1&QDR{_!Fv+F=UtU^LJr5v=r%o{l~BXK_w;ldFN<)vCrb%+
zs=W`u+$8MW-f0<n#}f3pG$J%{cV}mwspF$4wx3bLut?q&TYMhN>de~;;e2N<GXt@w
zvjxQ(sUc*8YdF17v7xNzZ8jbg5WAw-{Llh=Or>y|t^@LSKbwrk)dFtY?NE^sR~hwA
zs<k)E>(&_Yf*fdqr20+Gd<b0?H0E?P9bH{(b`=i_ySj3IbuKlYO1D)zY_;~_o7gLk
z$&HIV{VMy-6twMXNBrJ^NpbDmtTe+XzyDH<&b%T3W-IT4XR8@o?}p7i_mACd1ZF3d
zs1x~={h7I}&KZ~%Vz8JL@Ptg&mJGu+F|o-!!wokoBd96#pM+EtPUM2c;!vr*mm#`M
zJEAP&AXsR&T=B$HGLf%xeoT|Z{(2ulj_Qi!8W9mh&SA$9s=f}9{<OiF`PM(Lr<RAv
zbqg%H%|jsl)bjep4c>9VNoMCcsicmH#xteCoY2AGUPgSn4t1*Ll*2(tRa1)e-6hN0
zp$O-cl!%%6)`>Rz>dJ9(mH5WHPtv|+V<(>3`5Jz>qLre}MxPm(KaFf#T)OcM$xLT3
z9dO*DaSp-v=u{8Bi68EAzmU`)x<hmqichK^fSklh0Wef!>w?WTIcJ}2AyIJS(9f;L
zTd`X{JS$uF9PIrdE79sfEbwM(>pWf3r=t73t|&(V|Kx8ZPA%C-Rn8wFMeK>Q5^?{M
zI;%xCt%y%T8<Af1T_lQ8ZS|<@_kq9dct|#E{@r-VAJcd!1U;E;QRGchOrpr9aq9z*
zm)VhP7;D4Iy^U=+`oMDV(h=Wtudx!KVIeH?JN)1~JL1Hte7hPUzh^$PRU`rT(Dh!2
zebJ@uW5hg{`N!a4ZFB`KeK19&jYGl`^-y@<jei?s*IS*&mP7dqFN7nA*XlgZUyt{J
zRZy~r8-gl3m2io7Rn`+}ahsE84eRYi&sGuLza62a6%j(v`ZW-L4#tZ96yhd5kUiMN
zGP}wQKMFUDkO2GL<dPkyHoP_oed!Vt;+`78bIIq6hKLK1#EqW&vx3JGoX@NTY#}oc
z!i$Veo5prdyC!r{<44s_AJDBj--S~|wH3zfA#>-2zc`U_d6S}2cj%<Az8A^1md@|E
zy|fsWFNj~Ona&w>l8`AQn=`w7;L2<SDkxE(@aO%m_Ly+@qqR3`M%xZ<pscupsU!TH
zx@pVgvz|gkZ<VH|Y74#hCjdbsJnp-2pADNi_~Zj<60HpVoqwQ-k3UQ4^^IvKSZ+Cs
zKDZcBWq$pq_$rm{HQ`|6&5r+b9(RFsnb{lnNFt0ZlXLDeH}LD<u?_n`Bep4|PS`qp
zVcT2|J!c<>K1fA;oM~5><Y--yA(*orh-5oa7Gg?6s@O3>ZSe~d#R_u$Z@Md-Ke8s1
zBhie2B}FKL;izy;GuysPs0u-3AQ$wc8S7)=s#!3gl~<W@vBm54VxajMR^E>vmC7$s
z7xpE;f>+X;*~&77){ml{Vp)icY_aSO%av={#S}j}nF|Z*!!t8nkadY{dUNP;0TMUF
z&u;hQ-e%au97UIFFeZ>QqL<&C9tgi4hS<4x;}@+N@^&owHsa$h8^dwjj6gEA=of!|
zq-9)KnK2jtB<yv448It)r3_g75TbjiL`t%dTvpv$L!6--f{BQ3aXS&9UOfCA_01$2
zc1ZepwF?uAUmx{z+Wfc;&+She{JKL^Aj4BlSw+;qDD(kuE0k*_$<sz?a~AwA+yAAj
zh?n8?Mj63M*ZLgKTnXzD0Ws9pm@`RIsk64J_>~(n|8&06`E=ndm>8?aur3dOCSGr4
zY*PgyLi0sdE4I#+oi%*=@3BnE)~_6S3wbsO{4jTZH0@cSghPgw#e6=0ij@I;7JZZa
z6(=bgeWoRT@yy)#fRbMIGhcpmp=Pu}c0F>6o#FiNS-9p8@S9k24XyqkHL-W6eI`Rt
z>oPm*ySj8*NJewX&67FpG%UGU9o$(y?kpV%S!VuW^+xp<$zc7=jcwqbV$(vR@gZgI
zv8lD^z~RmAUG0*GK*BvWH8m<*Pma^h#KuS8`uciZGO~<{o}^1ru4URfh)^bI(B8p-
z!3fn!@Hp%K*4EV(7+z8$a?pMUf)_{IIGfh;Rz{LX$qJT8k1D7;zBIgGrMg>x|0dz`
zj!m`)qmz@~GJo!d@9D)DnlJTqk&}Uu4}$3*m(@M_RT+bV&7zJAGVvr8o8EOMs#R)K
z+Ls?B)y!J;lXl8oy}rEs$h@biaCB^?(as0TE$>rj#_srU-&hgeAI{b6ae&c2YcusJ
zdtH{}7`D8yka<K+6ZNS`phG{dfI*moqqQ{$MR9Wpaq(?|Jr)Xd@F<0fnZQ!J{^X6%
z_)F&Rii2aSKb!n|#jmH!<B2&Kj3WJb6T>CQ&be^vs?G>3VGm94$3F{39TRq(MJ#Jg
zxTVah6fvujLK-*@A`#IJ?ID+&z9Ns;&k6qG(=(}Il@ZkUd_|AvLMFLw;H(Ld>XLXB
z^ik4P2GwRbf>Gxoe`J^ND8re*yf`{Z!;0#`G9^fI$fG^!elt8e+U5G@=EiuDPqWrC
zIU_ncnu?vBy@7fa3zLC@B2!*mT)cE^7Bm!of|<&6?$;(-e~w!3O1}i7lT<#K)-vvC
z>4IL6mh~w6=sIYTaZ#Qk68x>P$HBwHn+JVB?9H!4m^a<771ydO+ayY=JCT|cOjg@2
zt>FbDhWDZnxGv-_zIUHFO8o8I`GzLW$TP2xSqYd99(?((Swjo=kL?YO%-=oSibeLx
zvTaV8pp$%AJ#cN-TelCbMjK=k<fWSM+&*v}_>zG5-pfy`UBFr-FCjm`Q!?L)Yd@|C
z9^n>VsNYq#MO`-(AzaGRx^DK{+0H1KT^#S~?cFk2Mqs}cMZ<`xi(s?XWmN3OKhp-A
zAsx24v6%X0MnS0ox*uv)(24)8U?$9%QJ~u1egf0p;qA8MNW2V`F5rZJ!G8wLVF5_3
z34Ej<r@@c_@B;5~d@A50q`K-;ccQEWJUCJCZ8NnGnMUd&1O{`!<&6drDmY)oSb#P}
z<9&xf7Wi;fHKPSPfmh31yASj>)S}*On>_M3kwAqtvRjfyKE~nK-?j<R@MG|;f<sQw
zt1zm_Y8FmtDiG0_6G7&LNzii*#HZI3s&AG>dihl5M~beq#BFeOAg~YYGqD}7+)HQ4
zRqpK0;*eOkM#qq@X4~O_<n#9POIhps7=-}?vTlw!YjhW)S>#{6eOSRpKK%QTy_cGn
zt!JUz^2;KWr#VLIUgGOwx)o(*M@adTZcN7wApzh?2I>vf5iki_R%>;)1?H)4OkQV!
zq0bEX!3FCpN)XgGY4Rr7K<`hJk(c*Y7XSBLK|b)P-JYZ+-z3nYh*pr3Lj&?Wa!-=a
z&F$?Yt&q@z3#ME5hJA}#u5>)?mO+Xs<Wh35QXiP<a0$#}3EJRmCWU|}LoL~RWVgXk
z=02Ec+H24()nOdm-F4(w*uYu4v5MQPe|PvgK5zp(<k1*+Pdh;kYW-DX$sfIdxkPro
z#WuK3Vao|&?LRPHI^L+Xn6Xdh_sl&fBV>78jB4oW9cUqdfgwPG{=WdtgX;Q8vhaiy
z^N0Zyo}EZjY^jebU&%^g<+n_ib09mZ*jk|@(c|O#e1T7tsWKG=JHY52fDzctyl8l8
z*O>__7Y(4sv`!s|%yVYfCF_uWSM*)cn4`HxOfMw?nJF47H{($w4-ep<DTAPkHBt|U
z6<=QfBikf<0CMQtLFb?<tH)S90TzxJy|)ioI?(ZO-VHp3yk*TNVhy7xArAW0M{OzV
z>+4H?(Y|eYd3lR)sSzO|*J{zELh?|r<35J>1tCuM&3$ty8E*On4|A~gpb7L^h?~Gf
zr(*u(Eb4pgm||uugY-3(an&E#CCU<PRZX)(LKCtnCr^;3vu*l44!^aft(Ge+YHFm;
zgrCZOyKg1czcN}sL%<@>+(q3+{TPNUZrD{T{l`4*`zMXJw&t*Sl^DAPR22^VKk%_+
zhxOa(sWC{Vm6fQG!?LI`-rFB}ZAJ&wSgPB=jcyT-_OG;DU3nZ{n367DT?s104V@y4
ztLd?KFi?vBY~C$3IBF*Lq7s%OOG+%p^oy!frCy<plvO71@4RStK`LX5R^DU_&T+W1
zylFd{ty(JM*I1cbK0dyKBT?|Uu_q4q3(Xo5o^JXuA5-GBSu&kN7_0@?-`-TDS@HUd
z{<Lg-9X!cW;jgHf2>~O+ozys`T!Lb%T2$c$i=#J5GyB=kNTW@7eBX<SsI)El>|>Is
zs;W68ASChHtvahdgoX^A-aTvt1_mC1aZal*YaRZ+hm@z@;L)I7FfBy}@1UY8VaQ&7
z62P?tdwk=W0ka@(cpsY5dNHMuxUseMq^uf!CsQ4AP11X#q^GyCb#ZZV#2a<S(e9Fm
zui!GwnL(4)lbTzDy)pK~v|lDX;rV2iQFT4?M-dUFf@h?PMlzmJpL({o&rbH7Hs?KC
zSjX7vKC^e{V1=_{t$2|~vfMD7-OwRBqBy!*t@sTLFwNP@AJz>bqFy)YSa1EPN8=}S
zRf!K)&hOU&=F$iqoP2B7aO=^#;(+r=^4{ThuGu)d$*{`KH>)OP$#_&Pp`!K2btM{`
z&;e^4xlf!b5As*Fb7#N@MHbSQIfQYPR1vlzbw?G*d%C`0xQF#8FFU(^#2W8|iWAB4
ze4bniGe%6AUkjM;s;6dWKV1bgM&UxF3IQREj>P$d`0gE_s9<;Z_CyeiB-W3x-ertl
zabOZS>Qg8yDUH8bR_e9Wr=p@_Nn_RP7;g9D=yq+iFuBzpDpaR5m*vQnk1d<X8(;uS
z&MyiRri?&L$3hZw?N=S-IpJ%h5td5qDw*DkjjcX=yh`ZcR!)M~3_2zpusJzHIANsl
zD;Eu(p2K3GPk?QB!SZYSF9YY;Np*bS&79VKbBMBSzkndYw(DF62_HYbuv7*fOGX$L
zir{*YiSCzb!6afPl2c;a(}Gy_{%q-52G2L;_%l%hRu?r|9<*_i;w&@#MT}!?>0wJp
zOR%oR#l<GDuU@?x%F!d{5YAwEC$0^tHv3pcWL>WpJ-9KjX-ZlNyRELM$f}{5TVH>T
zRW_YcQdAfI{<W=yxA&t+anbtLmK0nz46rbI!R|v*V|jV`@zlR@@#|%OW&{KT7nqZ%
zH9@CX{O52>2TN^F-+S<FGBZV`<?+@CR(XaUM>1~MUt?^p?})hWHYn-EB7HQwCOhFl
zx`A_Za%z6`{1x|{f5ceei<uA47zqWuYs4#IG+V<GV|6fpWY;j@o7EK-=1}Qsvgq#h
zn?=^SGbHLq99MWzmkqgOoJV!0)99zbeEvbCk+|^`s*{E+6`Cr2NJv|C@B87-Zt39g
zh_LW*v1V<X_|YvQ`$;*T2Q<)5{fS;r2YjMrvLrquqfK1=@OdjjZAeIg`5|<`HVcd$
z1s1t;p_vGJz{vnF_z3d?1?5Rq^}An-sLygYcnW8p&vK@`5j?>0Tw<N4U9J7Cs+Wd1
zJ!ljksj1R2GTzf1qqHNuDIYz$Vrd4CWj*DeoRQFdg1Z!m`kr5;HfBqEZuOHeq@=8j
zY#NLlB+BC&NJ<9nIi93!R*3&ea>hu^_wSPVB^uFj!CC#`7Nbw4ueda8J6?U_hOm%@
zGQ@u#Q4kdsw$jcuVm;_gBW>Zdy!;JL|EHMiyTQR}ME>+CP8O*n#rF;Y1awOF^3}yZ
zk~6{6aSd9_u(}298LFRSaA`=)a}IvQ<a({vM$KVw^Uf)+QB#eE;#?NdgF{V(*8=+<
zl=rkuPe~z~2W!l1KMcjDJ><Xq0!CNJR1cp1s_A&~LPz#OJvO(tT)@;-VrbtZ7>Bj)
z4YkNvzYzJEiL~qC3#NmQp-=5#EvvAl(|J!iCWH`9j$pCZq)c~mP1xoeV`0D&W4LNi
z4CXgCIv078&b&!^gB;9~9Ca+Ciz;O@XEJW<k~R4Sm$VhNUPkwPH7qO|o<zYSWOSTD
zv=C`DSF-=XFDgIR*u=tAEm%POy-M!O@)5sWy7AMuKMmmfl9E^EuIheM-E-a>y^5D%
zaNplcRAH^?TuKv42IrTk;3OwLLCCNl$;SXzhOKMo#@~0s_CXJ8;MLFP112xr;M{`a
z{;xvLE3By|+WT}c)Sy)9P3eRp5JGtoq=Pi+MLN<&N~kuPR6#H{N`%lM(xeIshAIIO
z0!RnxO;G7_CVn^H)j2nLcJgHJnYH&?Yu3!3-+#*3vN!4;=Iq{F^jz;CVk9O+>#?Vk
zyE~N0ex#@$Rft#Lk^l0=#KW|KYE-F}{;<5P5o11+6!0wL?d_N!#w;<AMho4rC<%i%
zA}xc5%hwv<E(VOINn{@RvMj@n9o>)@WtsJn8$Anu!k7FFbv%<wVBET9ADY8PVO;9(
z#JYw8`DPRL7&I|7$WrsGMREv+C$36T+t-iS^10^2xCFA#(Uv%hhT<zyAHuPRQALRr
zdJ@v-$oxg`q(iP~NMcx&R-xf@V<bjVN+*GKih7D6O1$q*fK{%oiYa`6?kC8zcK7Ey
z>`L5@EM?hzFC!g|#O0QKtwFA%4%KP+6ZE(Thc33}qdSBY=w?eisHj_IP&<zxRqyD>
zd$T96Q2xE2S5#3T(D78Ew}zD5qu{uPTyfUQ^rtQ8LRzE!8?n9(^nl(QF=+~TE(U&^
zV&w#4(j2)z%N<0qvz{nvb-doZX?ytBa+VU#>I#=N&`Mns%FO&Wp^*Eu%#ayX7)Vaf
zg8qIV5r+s1fT%1;yOS`lrZT7Rndh@<QmMssa>CshyR&RqS^rRLVU8WDpo~#R?#23r
zD?hx|f1AZ;W?i#f24PVf5>8PpmQG`zS_4fe@;2{*bY(rL^GUuQr7(?2?6*>g?H>(g
z{fc6(0a0kY-rdBxX^Io<da@_z%!g&0$CDw|tn+w;jW~A*Qfap))hSMydZ=Qqi*bK=
zaa<E~_AsbPpJ_rB+j@$zNgc6<Hx~+pgr*8w%~RX<mnf)bu4{DP6QSL&kMxuL+0oXa
z4VfTI$7uJrY;hZ`_k4XI#`#u;97WOyJ&V@tUETLM&Vl)TW;S&lgkHI%s!h(X^CXw6
zruk?bd-vrxD)^uvgVkhbCyncxQ1%~_#|i1o<B!*?nZ?C<8Sf!H1*LR&nRWMQ3B@{k
z3I3J!d{!qBXA%~-p+nl)&rhXts^17~MSPGAImI~IUcOhYNk{LgT29exDO@{fo)>-4
z;@a+q4^L6H0>j;avX@7^BNKC9eRo|VCneXV@xqKNnvQp#J)=+>c$-#TcdqWN%y4cb
z%e{yC2%i47c1S7t#qIKv@k^`W##hvIx=B9MFcxa}?vQcgOS@K9nOInrWoD}_RQhVg
zDrmlOtQIFk4^3aZ=T%$cd$Xq%D^=n(M%@YbOCWWHivd?qW*mriI8l+pBr-jcO^Q$A
zQ?Wo^=fnT-xW4B$!M3XOqT7-tc{u)#m$L#xyWoqC?oc{P8y=p&Vltn8C<$&)*Oy;s
zO%ZM_P>oV+Aj>P%hE)oN+9ldm6OuYruf8YCBNs0((~WV@;i3!l!l6Q)LG-P>c)_v0
zKKuw;W~iB@&2G~9cGnN>HlKkU{_bm}4{=WK45uOs<CoB2dRE_ve7LeI<7yiFy*-vU
zeeqdAGwfZ>U61@l<rj@y(Ry<?^3tI`#r@kF-NEB9N?k^XJ^8b%6(v;*pRGLfUgfqJ
z@qF-OPgAE#WEuXvZy*Riop5s<bO*^OIM<-(+l-px#mjbDM&wdtfA}uZEFHyFD3}Y$
zuq@PGD7qY$KgIa#hIPW8QfbtsjBsP@COTQ*=gB?=t3*|aF8w`3_mlqNBQksv(;H4<
zZgg`bNKo8?jr50c9qy2c1+0+Y6JOtQ)$`y}3~e)kYPv9?nDaj+?8P3l;q0)S6tycD
zca9Mo-~%bj#`d`k%mJO!esLQQ_~x$jne$gSKS77);ezYF{$=ZM*SHoF)6Y5MPf#*;
zL53eLLJkfsb<}U#Oz<-=HC_IdAf;YJBR+y&D$wZ8$|!A%=2<9s7sBS2nA~lC#o$$p
zlc=D<O37+%2W1DVh2wQ$@!Q{f{QR1#VauEUnlE~6xV8K{(8zVzTq2M%P-D(7P9o|w
zVDjD(dYTLl9|2tmhieo?GdDi!>`Z355R{bC6h^4JpX=w#HGjkw7ZDavMepV`fozH>
z<&6>PL*zTgsq;zrRjX{`QzhCoxy}_jHh{@hzUiu|Fe6vs1Ira}h6KbQG^$?(AbWLb
zuR}LXk-kN3HQWisrJf2t-Ul|j2A?{mgB0jk!(s2xE~b$?u@#M64#K+u0x5>6ncNQ&
z`PJ-n7IuT@obEexn1^Vt$7<`9r-nJema6}AXxV8O14e$StjEAGXG9~ta|)wEb`V`k
zP#2|1fwEiqhq}onqR$$TMWJL?3oHI}S31Hv?zAF4+fIgTAMTNo|FyA{yKe^yNk>0?
z8{@0@j>V-Jl&5yKb*<lKPI%=W%2ADDc3TV{hKqWm!|hzpJgdbvHbNtdPxx;*L*`6}
z9f<~er~XcbZQ((lF)X*vD39JaGxU;(ctZK<el^n*i(bfH=8<no-SpH})35F?WSoQi
z&G+v)bCho0sZ}+>A`l3pc~;((a4g!zGjfYo=88FWIKubh{OGr<F9?n&g9AfS`~_1|
zf$B1wJv4(?dwo-XXC(w&j{mN5-NJ<hM;21jdco}pK3n0uZGP*|4uO5-SOThmtNVYc
z)3Z=4i$cV^(^@MbzMFuAAfHp14%vqFr2(f?gRVZpGDsWfu5{j--JnPn)KDa!rK>1G
zjXMfzWP!0mIY&{e(b^};D}50fRDCCr0!l4GbxbNPhyc~kIpO7rP`bqQ{Z(D(wkIBA
z&23Ewt#Vam3I{SciZn12LS1_=<J3YJgPERnB{I?5lSL)(Vl;TvYRrrEHfAPX>aj%x
zs_gOwDrcnDJeHrVuw?20Bfwwi^9=_r9uo=a*gDArxP+R{Ie9pZ`r-(tcdTK`XM1CE
zb_=UfG(T7iS%dVCyj|*V7!L^P%9+U)hDK)5I6K+78omN0Ap6KR1Donm_BigzY1P%d
z((A1H9@xD1w~VtUZ%u4^6`ehjzh**x3!Bb{Eb`m7R)g|<(47-)?<u72>)-$GlHR#6
zwh<z*M6Pa<oMY)%kDns^*6*J8hc1(xXdwp|7Z1Lu`ahK|b1UI>(f;x3apl{wy1R`y
zl<_B`8)$qP7@`H$Vgro-4TTno0@<red#5q7BfxOPEt5I;v&fr&FC5a{wzRXDR7@i|
zyU1iJExS;#w-;a+eAc<Vyb)Jr+rS@{aV-wjaFtF4L*fm`a)(c{b*<N5EYh2`F?0J6
zsbRTFKY6p~5-lC+9~y*eyZnMxCHH$6CKyXJzTp2$_#BP9<E*AqikCC581#GKyX7cu
zLo-M=$#Xk9caS-^#4!=4nFbNfZ8Ls}zQn4hc+B>|`ls@74Glp#Bt<tZJHXawx>Hce
zl!pq(BdYOI^Okwm^tYd{B943><x-&^&_d5NPK_~TZjOhY?H}YevTe5Rrj4<Wz=$Ea
zhV}3$Dc51VQ6hUmnDsVdj=E2)_Y;4uwj_Fan6Z(zkvfok?a<m7UU_#W2x&b|FSdtC
zoN8-qJ#8AZ-p7J$^IWW43-y{)IG_RdQhjiAjt^DY7u~@W=i7}BFe}!pU3up@Fc27h
z{{CY%pY3X>yqy33XkPt|3LGl<5z!5e1^LY*Po@klP)kaNR_-KN>H-Zuys2!~+oH9L
z_ZDbAYIF6u<V$~oJBx}&4ShxB(a=U(XtAmYEN+WSOZ%)vkn9KFL-Ed7hTk=+JJm5D
z*nt>ti(xGb1k<gaz$iqHtb>~BNTi&HN2A)*h)yO%q#=fy!gWCTUrHz*MP+=JZ%Ax@
z5a06B&f6FIW83I<)(v}}sya3v4GzdDhdZUWe9ILNvrd{Jviud&MtCV2t^I|tvg~7J
zCAmYAVBgkMB`k=zSQCOJd{$)`uySv|ivNbRJ~|ar-g+^%QY}VX6%-k8DKW@7-sxAB
ziouQZfZ#<L-0OB?B6xi<=5_f;9``8M;SoCLt5~Ok4yf#?fj>z63l*#epKi0g(+~)h
z+!ZM`M8DYIOy?jyzU!j>`O|Vmkabj=8u`@rU6=r}M!v;627INIAp0A?=VqyZZ<jS-
z$X);KQ#FI=*?4Yk;o`MQD_(M`d=bAFIW0YFc@5p#^p4$i&<Tvgu7i3Bc3PsK5+Kt|
zmyCd{_Z=TUXT~J;G>=r)+J)_N&%!L?8?NU1JH@8XF3#V?=Ste@MADO)C@z)f{7xlc
z=lK}S-ldNGAe2RXM`coeg!tUwdBDZ;<=1G4P5bUy`J}&D4s5xVSa>YIR#bFqY2Ij@
zsn)unMS6bq(|-(`XI&G!J&6X?j$EruDun<<$S-@JD%G|xspIa2^s;>Vh7x2<k+6Jn
z862u%Y<zz&6&K5j@BK#VuQ+_yYgY2GO%Uu;W|^Z=!GM!V0zG?I_4C)XopJ2JRR8Q#
z!FTH`XIzW@dwNF;Lk;Hv0xnL<4;VVwT~lDV*LlPTK|CbA4SGmCx<CWUGUAb;2ACtH
zz>J8hiU44V!VxU3to8wNwQz7^S2qjR410TeIyU@}ghC*jR|^)dSgXN>Dv4!niuc2s
z8d)HO@K)}_Hh@env9Q!DL4QZIMg9EDR&q`LjfuWKQP#_Q%ogmOUa7^a`IsVb>?1FU
z-9g=&J2)vVRX$=zw$I`L2WA{miNP%EW+KtY#}PmiQqRz^Yw;&Z;9SRptQl_AX?RFT
zi03{u1%{cn;UzYXQH}hw3n14ZK>zN8eegj5A_ny109rdat<?j7y<p|T+}yk~ga3Nt
z$#%=yWW6|X-#8HJ11HY?3{M0bBLO`N(2w*4-WU|1+4lhj`xKDAHU86Z!2I+90n-0M
zLKN_beL5h?xBSwlO8Ey|K-0#Cg9x^O-Q&)nb3~#W+$QSX%W^o>A~EN{Bm)6eN92_N
zI!Pp;iQryEMGD|qN$Gp<n3*w;j*eDXzk7Hv6PZ2_gdc$dVO9Iz2(Uym-X5!NqIM(%
zK$wL-@#?OP-)8pqhEY)n;tzm(Awlf*2nvaa$N~tJNJIMhZHW>%6#cnGMMb;1y1-f&
zMPFYZP#JyyFAI;qMS>euU>DGqouAJ~#lY1At^ru1gQq@n9s_*x^3O=gsbm7@G{nTk
zCjeFHSp6Kx(Os|<2CO*X0FE0q(Lhut4y^vphvpr}d|Vql0$}snSmov6;bHs0kCXu2
zNlTV$E-`AS1`Ua|2okNo#K{@4<eA<bJjF4{qZ)BKT@N^)_{mAzn6nKh-uK4g;fGK2
zsOi`PanUC42X%O(iG*GH$-aSf+pkTv3>dENBGEfBaav0~_$#b*+>u*YAazL82|fMU
zoo-)URfTD2XwW;!^?w5-Pk6#SS)Eq~-w@U1j3ztTT_-bDUn+umKqw#xZvqEs+4+!M
zRs#SEK(iumo#{D9v4Iy<@I^S_XNqfTGQWN`v&aTe{WI`xrs1~^c#I<NRM5at2LUGX
z1t|K319{TJk-WcJmX<7lvUA^C>IJy+dEHKGVj`caDt9%ZA7Bh7O=;h^mH}oi0%(k(
zp_>REMps;lcd?0A3e0n5Cy#@}bpYuCWEg9;+#J9nzQ&*G%1U>@iUAnlEAX${7$@+i
z1EA`kgI>#3nL9Wbf#v`_q2n0aps%lgbM!l)A!J|vx&eaQAXMiYyDQmJU{SO=h{>%A
z0(hyyFC<iG^Aqg*x2u%{-3MVR!uNkhKKLKmr?TZ#*h(Al3o1ATxVrSeihTz#u7X4S
i|5C{R{()LPjy=s>R5Ukz+z8Z@N%XXhwW>6oAN~(gIf=*s

diff --git a/docs/manual/hierarchy.html b/docs/manual/hierarchy.html
deleted file mode 100644
index 5b7dbca..0000000
--- a/docs/manual/hierarchy.html
+++ /dev/null
@@ -1,142 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Class Hierarchy</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('hierarchy.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Class Hierarchy</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="textblock">
-<p><a href="inherits.html">Go to the graphical class hierarchy</a></p>
-This inheritance list is sorted roughly, but not completely, alphabetically:</div><div class="directory">
-<div class="levels">[detail level <span onclick="javascript:dynsection.toggleLevel(1);">1</span><span onclick="javascript:dynsection.toggleLevel(2);">2</span><span onclick="javascript:dynsection.toggleLevel(3);">3</span><span onclick="javascript:dynsection.toggleLevel(4);">4</span><span onclick="javascript:dynsection.toggleLevel(5);">5</span>]</div><table class="directory">
-<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_0_" class="arrow" onclick="dynsection.toggleFolder('0_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_base_classifier.html" target="_self">bayesnet::BaseClassifier</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span id="arr_0_0_" class="arrow" onclick="dynsection.toggleFolder('0_0_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_classifier.html" target="_self">bayesnet::Classifier</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_0_" class="arrow" onclick="dynsection.toggleFolder('0_0_0_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_ensemble.html" target="_self">bayesnet::Ensemble</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_0_" class="odd"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a2_d_e.html" target="_self">bayesnet::A2DE</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_1_" class="even"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e.html" target="_self">bayesnet::AODE</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_2_" class="odd"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html" target="_self">bayesnet::AODELd</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_3_" class="even"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><span id="arr_0_0_0_3_" class="arrow" onclick="dynsection.toggleFolder('0_0_0_3_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost.html" target="_self">bayesnet::Boost</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_3_0_" class="odd"><td class="entry"><span style="width:80px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a2_d_e.html" target="_self">bayesnet::BoostA2DE</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_0_3_1_" class="even"><td class="entry"><span style="width:80px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_boost_a_o_d_e.html" target="_self">bayesnet::BoostAODE</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_1_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_1_" class="arrow" onclick="dynsection.toggleFolder('0_0_1_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b.html" target="_self">bayesnet::KDB</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_1_0_" class="even"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b_ld.html" target="_self">bayesnet::KDBLd</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_2_" class="arrow" onclick="dynsection.toggleFolder('0_0_2_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e.html" target="_self">bayesnet::SPODE</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_2_0_" class="even"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html" target="_self">bayesnet::SPODELd</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_3_" class="odd"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_pn_d_e.html" target="_self">bayesnet::SPnDE</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span id="arr_0_0_4_" class="arrow" onclick="dynsection.toggleFolder('0_0_4_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n.html" target="_self">bayesnet::TAN</a></td><td class="desc"></td></tr>
-<tr id="row_0_0_4_0_" class="odd"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n_ld.html" target="_self">bayesnet::TANLd</a></td><td class="desc"></td></tr>
-<tr id="row_1_" class="even"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_network.html" target="_self">bayesnet::Network</a></td><td class="desc"></td></tr>
-<tr id="row_2_" class="odd"><td class="entry"><span style="width:16px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_node.html" target="_self">bayesnet::Node</a></td><td class="desc"></td></tr>
-<tr id="row_3_" class="even"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_3_" class="arrow" onclick="dynsection.toggleFolder('3_')">&#9660;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_proposal.html" target="_self">bayesnet::Proposal</a></td><td class="desc"></td></tr>
-<tr id="row_3_0_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_a_o_d_e_ld.html" target="_self">bayesnet::AODELd</a></td><td class="desc"></td></tr>
-<tr id="row_3_1_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_k_d_b_ld.html" target="_self">bayesnet::KDBLd</a></td><td class="desc"></td></tr>
-<tr id="row_3_2_" class="odd"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_s_p_o_d_e_ld.html" target="_self">bayesnet::SPODELd</a></td><td class="desc"></td></tr>
-<tr id="row_3_3_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classbayesnet_1_1_t_a_n_ld.html" target="_self">bayesnet::TANLd</a></td><td class="desc"></td></tr>
-</table>
-</div><!-- directory -->
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/hierarchy.js b/docs/manual/hierarchy.js
deleted file mode 100644
index 5202a5c..0000000
--- a/docs/manual/hierarchy.js
+++ /dev/null
@@ -1,34 +0,0 @@
-var hierarchy =
-[
-    [ "bayesnet::BaseClassifier", "classbayesnet_1_1_base_classifier.html", [
-      [ "bayesnet::Classifier", "classbayesnet_1_1_classifier.html", [
-        [ "bayesnet::Ensemble", "classbayesnet_1_1_ensemble.html", [
-          [ "bayesnet::A2DE", "classbayesnet_1_1_a2_d_e.html", null ],
-          [ "bayesnet::AODE", "classbayesnet_1_1_a_o_d_e.html", null ],
-          [ "bayesnet::AODELd", "classbayesnet_1_1_a_o_d_e_ld.html", null ],
-          [ "bayesnet::Boost", "classbayesnet_1_1_boost.html", [
-            [ "bayesnet::BoostA2DE", "classbayesnet_1_1_boost_a2_d_e.html", null ],
-            [ "bayesnet::BoostAODE", "classbayesnet_1_1_boost_a_o_d_e.html", null ]
-          ] ]
-        ] ],
-        [ "bayesnet::KDB", "classbayesnet_1_1_k_d_b.html", [
-          [ "bayesnet::KDBLd", "classbayesnet_1_1_k_d_b_ld.html", null ]
-        ] ],
-        [ "bayesnet::SPODE", "classbayesnet_1_1_s_p_o_d_e.html", [
-          [ "bayesnet::SPODELd", "classbayesnet_1_1_s_p_o_d_e_ld.html", null ]
-        ] ],
-        [ "bayesnet::SPnDE", "classbayesnet_1_1_s_pn_d_e.html", null ],
-        [ "bayesnet::TAN", "classbayesnet_1_1_t_a_n.html", [
-          [ "bayesnet::TANLd", "classbayesnet_1_1_t_a_n_ld.html", null ]
-        ] ]
-      ] ]
-    ] ],
-    [ "bayesnet::Network", "classbayesnet_1_1_network.html", null ],
-    [ "bayesnet::Node", "classbayesnet_1_1_node.html", null ],
-    [ "bayesnet::Proposal", "classbayesnet_1_1_proposal.html", [
-      [ "bayesnet::AODELd", "classbayesnet_1_1_a_o_d_e_ld.html", null ],
-      [ "bayesnet::KDBLd", "classbayesnet_1_1_k_d_b_ld.html", null ],
-      [ "bayesnet::SPODELd", "classbayesnet_1_1_s_p_o_d_e_ld.html", null ],
-      [ "bayesnet::TANLd", "classbayesnet_1_1_t_a_n_ld.html", null ]
-    ] ]
-];
\ No newline at end of file
diff --git a/docs/manual/index.html b/docs/manual/index.html
deleted file mode 100644
index fe22924..0000000
--- a/docs/manual/index.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Main Page</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('index.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">BayesNet Documentation</div></div>
-</div><!--header-->
-<div class="contents">
-<a href="doxygen_crawl.html"/>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/inherit_graph_0.map b/docs/manual/inherit_graph_0.map
deleted file mode 100644
index d8b0322..0000000
--- a/docs/manual/inherit_graph_0.map
+++ /dev/null
@@ -1,38 +0,0 @@
-<map id="Graphical Class Hierarchy" name="Graphical Class Hierarchy">
-<area shape="rect" id="Node000000" href="$classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,177,173,203"/>
-<area shape="rect" id="Node000001" href="$classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,177,358,203"/>
-<area shape="poly" id="edge1_Node000000_Node000001" title=" " alt="" coords="188,188,220,188,220,193,188,193"/>
-<area shape="rect" id="Node000002" href="$classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,128,546,154"/>
-<area shape="poly" id="edge2_Node000001_Node000002" title=" " alt="" coords="355,170,424,152,425,157,356,175"/>
-<area shape="rect" id="Node000008" href="$classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,177,531,203"/>
-<area shape="poly" id="edge9_Node000001_Node000008" title=" " alt="" coords="373,188,421,188,421,193,373,193"/>
-<area shape="rect" id="Node000010" href="$classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,276,541,302"/>
-<area shape="poly" id="edge11_Node000001_Node000010" title=" " alt="" coords="322,210,362,237,407,262,432,273,430,278,405,267,359,241,319,214"/>
-<area shape="rect" id="Node000016" href="$classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,79,539,104"/>
-<area shape="poly" id="edge13_Node000001_Node000016" title=" " alt="" coords="319,166,359,139,405,113,430,102,432,107,407,118,362,144,322,170"/>
-<area shape="rect" id="Node000012" href="$classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,325,530,351"/>
-<area shape="poly" id="edge14_Node000001_Node000012" title=" " alt="" coords="310,214,352,263,378,289,407,312,428,322,426,327,405,316,375,293,348,267,306,217"/>
-<area shape="rect" id="Node000003" href="$classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,79,725,104"/>
-<area shape="poly" id="edge3_Node000002_Node000003" title=" " alt="" coords="543,121,613,102,614,108,544,126"/>
-<area shape="rect" id="Node000004" href="$classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,128,726,154"/>
-<area shape="poly" id="edge4_Node000002_Node000004" title=" " alt="" coords="562,138,606,138,606,144,562,144"/>
-<area shape="rect" id="Node000005" href="$classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,177,733,203"/>
-<area shape="poly" id="edge5_Node000002_Node000005" title=" " alt="" coords="544,156,614,174,613,179,543,161"/>
-<area shape="rect" id="Node000013" href="$classbayesnet_1_1_boost.html" title=" " alt="" coords="608,29,724,55"/>
-<area shape="poly" id="edge6_Node000002_Node000013" title=" " alt="" coords="538,119,545,115,559,102,568,90,578,77,593,64,614,53,616,58,596,68,581,81,572,93,563,106,548,119,540,124"/>
-<area shape="rect" id="Node000014" href="$classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,5,939,31"/>
-<area shape="poly" id="edge7_Node000013_Node000014" title=" " alt="" coords="739,31,786,25,787,30,740,36"/>
-<area shape="rect" id="Node000015" href="$classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,55,940,80"/>
-<area shape="poly" id="edge8_Node000013_Node000015" title=" " alt="" coords="740,49,786,55,785,60,739,54"/>
-<area shape="rect" id="Node000007" href="$classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,227,728,252"/>
-<area shape="poly" id="edge10_Node000008_Node000007" title=" " alt="" coords="544,205,614,223,613,229,543,210"/>
-<area shape="rect" id="Node000009" href="$classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,276,738,302"/>
-<area shape="poly" id="edge12_Node000010_Node000009" title=" " alt="" coords="556,286,594,286,594,292,556,292"/>
-<area shape="rect" id="Node000011" href="$classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,325,727,351"/>
-<area shape="poly" id="edge15_Node000012_Node000011" title=" " alt="" coords="546,336,604,336,604,341,546,341"/>
-<area shape="rect" id="Node000006" href="$classbayesnet_1_1_proposal.html" title=" " alt="" coords="410,227,543,252"/>
-<area shape="poly" id="edge16_Node000006_Node000005" title=" " alt="" coords="543,220,613,201,614,206,544,225"/>
-<area shape="poly" id="edge17_Node000006_Node000007" title=" " alt="" coords="558,237,604,237,604,242,558,242"/>
-<area shape="poly" id="edge18_Node000006_Node000009" title=" " alt="" coords="544,254,614,273,613,278,543,259"/>
-<area shape="poly" id="edge19_Node000006_Node000011" title=" " alt="" coords="540,257,548,261,563,274,572,287,581,300,596,312,616,322,614,327,593,316,578,303,568,290,559,278,545,266,538,261"/>
-</map>
diff --git a/docs/manual/inherit_graph_0.md5 b/docs/manual/inherit_graph_0.md5
deleted file mode 100644
index 6b3e630..0000000
--- a/docs/manual/inherit_graph_0.md5
+++ /dev/null
@@ -1 +0,0 @@
-1a07b7de87ded37a8a348204931028c0
\ No newline at end of file
diff --git a/docs/manual/inherit_graph_0.png b/docs/manual/inherit_graph_0.png
deleted file mode 100644
index e413ba93aa4d7569bc4b68876f171b64ca2aa0e8..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 44422
zcmce;by${N*Ee|52q+>5C?KV@5~8GpbV`RHEl3GSNP{47(IQ=<Al)e-DJdyRN=hq8
zNK4JS@cCxmZ|0kMkC{J)=RS_dTfHyNbMLj+`qd^_MOo%N!BqkTLC(v`N~$3URw;sD
znBn8X@9aLPTZR9_HBpd}L{8EFdt09!jUaT0oTRvhYs%`Rn}&u(lIX^|p06*VAL>SR
zX@aVrf6{Ue<@o5RxWmd5x(#*az~1-HJ^lQzrV|D(Dp?G0SXD62-sio_d&`#ka;;KA
zu%aLd_rQCZIX^#*Fq9twfrdlcG_7pFB^L1)_xHW~YL@KRJ=Pu5KEyfx`cc1EkC6O7
ze5r0_*`)sa8}~fZGcpdbmhD!Aa~7UGdnSLd(L!uDQ9n6F{`n&MBL-TOSTAGF+|gSS
zzo{)J_ZdM>t38B5br{fJwVc<kUCXqq+YHPo+<F_gu$1Q0zEa$1VEwV^oFo0&Utw^k
z<1h(Ep}&^jH8aGW{R(yM>VNl}GOK6bUNuAT`5N`5OP5M)#(4CyznbwXwRCef+LZQA
zPSRvZhkuHGAYvJv;(fF!Q()M5?Y4PO(<^$3yvn781^U~!Nq>K@Y=M9OQe~@$H02jJ
zgv`#GY<W+9d@ds<hG1f1azyydh4Z~iOEa9SnVXyY@$1)jy5kvHj<dzPlV|9CfRoH;
zSLJ+_xWMQ1L{>o||64;+mhnPYY_<Ci+xHK4#1<A7Df|wYrtM+P-z%+cUoUmVvX@#7
zv3YJZ;|+bkL`phPZt;M_ppKH1S-CYMQY2(zLLU*ke;-phRS?I+!-FMrV@TVOo{Q_^
z)?%-JmgOR)oSYoL`!-8RXlVXThOe$PO#hZTJ|Q7tU)#{DQt}twy?c+g-Rn^({YLLc
z1cZdv6P%)=hP+Do3bKSaI5=ts1_rhsZf-UDwNAOibBavSWMpK60_Gz{k8a$!k*O?j
zC0rVV&eGD7d^}q@l}#e(Lgi?dWs-iiz4+6~TFsjgl~v#WYOBBb@O1JL1qDTLczA4;
z?RZyjGGDK4TU(onogF70@ipFcA^RCIx8Ic`l9H{HlaKD&em5go?~Gzh|Mv5`fWTN?
zZ-4&-*ton#${jN<%Ii!_(&$nf*&dtwAL}a^{rP214$Jb6dv#5X@vp&L7B)6a<b76F
zy4`fc^0#bac*z5viC3>KO3KLSwQg*0w-!D6h#(yiG%dauSThR?IM1Iy=XhArDLnhZ
z?DM7l{r$HO(nOYr3#q<-`-Y*R|9y3K)^8|Zy9K^HgV)2U_zK#od7oUoW!MnLs-8v1
z%6bkd@jQ5jjf<PK_0glANjih1p`l@M=lF0>qIkq~w8Yrn*||-Dv;O6uKYu)`hK3uH
z{$Tq;{j@;&Da7BBO1^8`Q%sMTnVWy=?L9x&9*%|Z3kfl@u;4@OJT5$@6m(+2J%9CO
zq{!b+E1!SoASvK)L@VYic=ONw{qft|PMf>CaZ;h=!KhBt$a_qmKYvcQOrj*h{rTmc
zKYVak1dY&p^=xG|EiEX8+}zyR*;$4UcGGcCnIYNP*-%_MP%Jlug!DW;J+IT#i}$^`
z$Nu!`Q#BnOmdB4D|Jfb4QxFsLMWIsed1xWBPoCtEUA`<QEgc98KUVfQbSQygNQPfs
zO>KVi`E;Q}{j=*Xf46^@+5fojwh*gr))m8=KC-gV8cfQ-@H#n}y|1sY%x+p_3;%s&
zWMqMU%~z}B%9Ej(Y?Q2#(OdMxNJ_r(IdMBjL{zYI%*MucNmNu6-BqOCFGlH*MBxyU
zqu{CCCZRl-9=zdzRjkx;Sshhfsj>PL^{=m3k(1xj$A`TQqZYW-FLKDCrl$7R@+wqe
z;Fm8d`ZdpRvLB=cW@IqJAqtR-W@<L$NtD5UzBUnT`7NvY^XGFOduvj<x>pwa(}+o4
zeEcZ%simdVWA7;n9~LSqApv!C<k{NRrb(r#UuBc%hMD2(i=+rTcUko$VdLN!H~ZmK
z7Ge3K#3bLw+=pVLXV7W%zK75W2wZWmzXk^x8*z1WqZbyY_Sju5{jL>%q8S?<?O##B
z+mj+did-Zo4}@P+5(QcvUK8=8^v5HXE;gv&m~iaZ^%6bYTPGG05(>3FI5_C+>MGNL
z$|`8j<?K^dlth1p_jPv@iin6TI{Wze*i1Lj2&P_u*J(?-WBvBqPcArfj>hxz^Diyl
zxZw&tUz0R4qT5{^^Zz~m0ShTBD^t<Xcqv2cH8?Abg-ay1K2^WD*+DyZyf-bQuTTAV
zZ$0vcLfp*H?6kY<Bbf>mThp+cEbQ#%SGT;S;EeT1doK1|*<KkTc5ra0w*P?{c%I6<
zwDH3SK9}F$A6FLMI?lI(K6Q~KjFKButnIye?5Qv+JRAp^sB<HAT<U8(IX*0flUTPu
z8>%9&`+NN7w`^{wWtC9d{(F1WCMG7ow!cqsl9!&n>EJTFx)JZyA2TxuvVU^8j&7CI
zLM}w1<Tvk2OXD6LA7dci-rkFI<~<27VB-~&@1BR}UGyt~qFElyC53_2)23x$a1FNA
z;pf*I!kew6_=JQlvFzHfUcK_AFmP@5>}N)nof-{d*q*OtRFap!(;)BH)zw{|sJVTC
zR>Wq&;GkB=x_nsF!eYs4Nl{+@)7MM|l55wVPVK@2nRdtBgx8aDa})6M_a7*FB$OiT
zb_r(Q-l~kHB`dlf1soSA`nxy8Tm`uQ4GnZtyUebIAQ7~p5zr|ZIXH;M#>VU&9VOC4
zybuIRMqEoPuBL?go;z<!N=k`QGp1si$fUlf$j+cT3kyrraG@SOL+9tu;`a7jucM=*
z5)*?zM>EgCc-h$45VN;0Y0EIOGQG)!@bmL0F#BTq+BF>Drg{IhEL=hC7rHJ(>wtf#
z`Rx&Udiv$>mF&_H)WPRSnP!4$y_*`m4iN+<K@02@2|2lW<!^)I{G_EHEkRMKso@C;
zl>2}GCdH#r_(yPL`Mr<$8;*DN&=amZo>N9wH&I|ZFCK$}jI7Csi;j<v!qDgVj&%4{
z9AaYPo>ZZc^hP%~H~!~q`jwd#729u$MbFkmH6wSuRk_}M=k?5t(ZI?MOb9dRFzALR
zouMindF>`F>Fn>{H-G&20TYw)&6_vqM#I1WMTjZp{r4wxXtmylr?F6ja*@~WwKg}4
zoA)N&$jr<%;Yl=`?~MAIr9^dw#|*W9aPYa-c|~%5Bsf)G-dpLOu&};~scB(58A+n3
zPXl!3Zss&kn5Tpkw_?1H|0d39JSt8Z&HeSY#?j)6sCQk8fMdI7&!2_vwy7zDqoX5e
z5>n><Z*EFw44}K*WU7Uv<V(c_u6ONwna|g!%3$x@mQtVREf9#|UZ7@SxJ)XfIeF5_
z7}>cxR^DdBrPI2#wUy6(0TFmMFZ)P@jp5mPaOyt@^s7)r%0{!Mrsmnfp9QP&{xng$
z%^ofPW+QL&RoEyNKoq&$1`9+j6r2VXqeYfUP<m<&hif0*MLnvj5*RM`M;3DMP|1sn
zzn~U)Ci!P;Yh}Wv_~efC8>IyUDUS8v8))2+&h)KN@59v(fHd?90290`DY?k};7x0u
zX8y*M$NG?~K75Dg>hkYk;_k(o+Hzww4Grxym^_^O_3NRn-+PbB$$X#iC=17CkAEmG
zN4M+q=jJ-MEiTw)#U$R(!#`DSH~*(^=auif4m`eh;lb~f$4{HWJ!m%&IK)v=Q3E+k
zZ-a>cgBtZNs`h7_Y-Bn7N+?vX84o>WeJYK&AA)PhvLDi<ojt?uJ0jIIj`4&Y>$KnU
zsAPCJSB<^(3_0eUgC>QCvHS$ks`#S^ii(PbTT={d3^+b2xjF>m9>`R9obGv(h!FqW
zi}#G~bK<-IMC>r?VlPZFEaSZOxMD<%@m2+sP7h-YGlhcgJi(a!55KkLzoJbfr{800
zNHP9_(xjOB`s1L5g@wpbL1HU@7Z(=`<mg-dZfGRMqcwcRSdF?{g4_NY!tU42f=0c_
z^SY?m(q7Sg&5~et3L-He*r=eCySyK_l#!iRfJG)RWu!u&n-rMl)Z`-`ly*m)d^Kw5
zHVwt>oMt$&PIz$e0Tk&~HrsSTQxXMei-Rwn1XCyXH|GT8ln6^<&H^0zt~<^wV&Fs}
zWAsU?IT>?X+cyiFz}F8`uquezccS*qH~sfXGlUvsd77abEZctPTvQO>OZeWytY(&e
z9GUjAz6ywUgLc$I3cjZk_Oi0F)zdA(RvKz*CY7mDXHZv_F^9vzk+<&r+q6q4Ofn=i
zU0Z!aI+kJAkQim^K;`70o6Z%0%XxmIK<&MIi<x(qY$d~GKMssr%^0F~M6GTtH^K+o
zd}3l^R{MH-Y~F7Seh=>4NvbMGoz<X~*yd*XM}DGjw=nI_&E%6|V`_4*Jq*us+TTO@
zKU2V%QdxE;+)&91ktWgCBp4G6uo>9!$K18_BUI@erjAPGmA-t}aw$&-@TdhMQa*H$
zyJK>;R+58APh0*4JHnX^Y?B6?YL_Gg3*(5U$p@ozm{tFaFQJ;>YPkAfZ&qjOvhk;X
z++$gMc~wIrL^utLL(7-1Rlo8fyFqWv%uL`WTP?Txbt^fiy{Uk+6KeH%{k<f;A%>nR
zchW=8>`ZFkO#>OM4eQob)I;is)=TKtb`Mo%Vk`0LJDw4((VH(n`O=LO)F_L5ncvTn
z2n&+Lu;K`5Bu>bcqHg3-{2O|`gEfvz=-KqRJ8n!cmMO#XssRASP}{Y&HOf0yWN$qG
z$c<mueDM65?$%uDV=P2+HTHsi>qQ)*pilS+#>HwZU*ruer^hRq$%~atbtwt(tT~B)
z7vc>|+_ud1vNxO1L%yP-LhyIK<yEaB{os7<;&iXWU3(Xo_Fz(GF7qDBf=3^##^!Ym
zsj_pDsXB5i&d&|$QTYwdpBK-&-Sy+Vcs1s5%7I0NT?{E{r5N>DBXP%{sCK|&@B=KW
zW&IJjkD&7}?95-hk*{=(jp_CE_1}Kejj(=_6j)a$>;$Z<eXgs!+hJ=_sk*jyn02wz
zdPGG_ORIQ-fsyg1v_ZB~av*^5*#HUyE;~{ZfHQAlqQetb@lQR}vpxQpCQREJc#e%q
z?5^)TlMt&aVbfWMNjL8?<Dq9`BLEl%05?I<nJpwF1VI24FOPrVgqea>Z(!Fz#CQEV
z_Q1dZIk)h=d!^PRw~(e%(+)19CNyko2ILL^!w-cZaU8msw6wI_KfmEk);deLy9@e;
zC?r49*DrD3v2t~FP2k+DcbE$tO7O=$|7oE+p8IhZ+4UPYFpxM-!-%FPF-Py`#Urgx
zct4GdjMO#woO%PGCZf7aR8&;t`ZF_L#lXP3{~wh)!#k3NQ!ropyiN|5)F^)b{D~=+
zo}PXkm>ZClw()U2@|zE@GcZKn+fBI6%p96!X~ISM9?042#6(shm(^E*b>(0HqfpQh
z0PloOG<fMfovLGnX<6pFX~KHzR@~~U&F1E2)XSIH0v@{sK&s@7jo-z@#(o~RYrKhp
zfx*D=Y<E=`gYMnCcWN3M*RNc;0>~aJ@urq(2nx1M6L5CVvAmpI)bnYt5ADtw11t!7
zQvY{cfP{pbl4y2rj*(rvsN%bMq0gNKU5YfHlbW8y+e<0oqFR!L1TtsyBdI2Ukm3_;
z0i#SrYk9v&XiN+lRE_O;6+JI6nRbzWGa$wv%gZPrJjP$&%W)+t?*HlL#6SS*wpLhv
zn*roo@3EI&P(ZY`)E|Uuf{y~!Fk0`yCy5Q@R8~<@(%V}EC{hnM+fBVHqW>rW7cXA)
zg^$z?*NuMrmX1TG<n6HY+u3JEBrntmXoOr|qKuCJ?jXMN^JcJziYfdg2(Zh5jSYL4
z;~iFdkN(O?_R^lsFQ~!)0?^T1<R3r}0FVr5IS{a4Q(w_+?oDN7W!J?-ixS5r<pf10
z_#8Y?ClJK!@#A+nIru;bS^n<+4h1}B0*G2g{vF_n{r$N}sMHHiE5qkcPEPpkXMCkZ
z9@RQ=pZ;E54J#|-$>(0zc5>pK^4wCY+ZonF|NW>pZzAqk4+9>X`4m7%dDkYP?PO|d
zs@m!2>!GUJ?MPITsPZbh{szNfq%}jeHaBA+8^8!MEc)N@yR1?|-MtJ8BicVa#6pga
zyuBut!>-)Ec=c)snoI$76_!(rzxC)#t~xUu)P&F;IO1d!6mtNSU1x)t(QF5{osOO!
zgR^b}vpt;3B0|sk6H|>NZDD1?`OGrczOJtOOMR&h`y0lgyImt~579{K-T^7e9m9Xk
z#j0JAiBzjV2LnL^PM7tm@RAZPGYg9rpwwP}w=od(;sI!1{Pb*ldBFbJvrm3Fgj`;K
zog6n02Gt+Dd;1mvczCCOhKiax47LzRv&o<N&($u!uL=tbU!<lcQu?@;p-|X{jo{(o
zZDFe*8@+tfGv6MF7CO@)Mfx?E{>_Mgvo99j1v=;)k3PDzfsVm#{0SQkf=55t(fWqy
z2JEd*N5XUE+wT3Eo^(5F|0I>}JE^0&+QkN!sHr*J>kVLb1D1c()zt-Up=)^{qphVy
zqOQLF1{#Q(n6!TTrvA*)QA+aqty{`S=L6AWGm_^k!-ZdgS^ONx2m(OgS)g0~zM?_{
zR2v|_YTqj?86^UVNPt7@et4RSIua~Zmy-(?P<C~#Zf$RW7|zPT<8$Ka;NlYZK;!^+
z8Hh6rl=AJ4+*$*HQuU!sU}ZesN3OtA!VVIkiG|kJ*8@%th7Qv6=AK@dbjHwK>*IXZ
z{@Uv4;MDXB!6Jg1Ow#W=Uw4uTP?kRs<XdG9&snHFrMirsiaAq@J&BIDSXerr!|B`+
z>@(tOYHn_xeWQV(>7xFlN4@<v#|KMkKYso^mr15oY!D6{XoTNQ)xm*V`HgTe2sr6L
zXBU4n_yJ`(2Z9tOzr9iYnswn#CY8;j(cRzUEmI9Y*38*CI9d~LTg<Gi5I%ptCy2(O
zJH3w64PLTJO1%%u&BG0C57EQ1_O7cwRv=q|F@lM>-bYwsuvn%qVl%VcaQ-c%YTf=1
zwqC=82A}Wn@xzA?ZME_76d;;8{F#?4cvwlWUcYA$-l5sY<;j;x1}D<PP+*vx)VHSd
zsVwwy&~Kj9e_tDF#Ou8+qO^KGb6Nd@@P&Ym*cmwl>;3HA1|G!ad0f|z>q7Wtx=ojc
zX#VvGawcYGJUG@Z6E%*i(<Fwq#1Xe#qFDdDVL940xq^#n{{<sU=mT@Ij~)A4rAkwr
zivhQl;@Dx#{e!syn|pgQAkY+kdvZ_SE`~i|NbLgOG8d&-&EU@Ss{2=b%fpjsRS8@E
z18Fb{iPe@cBqi74N2GpeW=dcq=Y9Pv=QP?Lx0f>#ce!T1$~;#VbDtbrS3am<e1X6G
zj*df@Svs4}KM-^0)p=5lyS@p!cneBG0ooYC#O!SaETh4JqU<yTZ<}RUg$ay!$ZA6n
zWkEUysXt`)*Zj8R=@r(FZeHM@{&qoN(=;ac+(%h6$Ny-$S9QL+I%9}AY2?+h`UT{$
zn0Gtud6i<~1hk$P|K&Q=d+IJm9XkG&N^xU|6%ap#;C=`lzL*`0lLpgF`Z<(h6egmZ
zL)~0|JDt$O%ogCK@>Qvu=V?nN&`s<my8eows2gDJRVfEtZOT-L2Lab^heQau7|SN|
zJY)<XVbWkVSKxIjSijN2d6Hdyg=U8Rs;8>%Jew<PlRE2>G<M%}mzx1iU%te%b+opY
zaAh&kGYFBAl1k(~{ijZ<lJZ;)_wa#HeNFWAsN5~N?D?Q&y|lY!L!(#g+UTO9e(&tP
zSHvWlgKZwa9hcsWE$1|TK2(bsk)+pPzDPng`GEdlKvEN-+v-#6os=qKS|ph)RoNha
z(I;o&MYd-U&xVJK3%KD!LoVsi7=@wd3wR~X@xFgViYoXZd7C$JBV7%JIfH4Gof_D-
z;-|S|XgioL>?7u#Q7$3OyKh5TY~?*_%NRVyY}<w*qOwt=KK~bgCW9?RpBDMOzG{VO
zPa;O{yM>uDa;`6a<<&yT^C`Z8{!@j*ejFw%{B!5db@uekpJ}mCg;KOJ?~*>TFD&f)
zt94>+7`q7!-%wI%92MlVx|-}abc%@|t{A1P<hAA;J$Mr=fN~Af1+|6dFF*JMUz9t|
z;&Y5$_*eN%mtxr(Nt^GV$A3A);(NvA+Gyod6wh}-zOwN1bAw<b*z;M#qGtym2V8Rc
z@X>uucti3Vvkdk>cpR=EDRpvLoo@d*$x%6e!{E=2!M_f_?5dQ*a~jqr7(M8jnA(SP
zRoL7Aos%fZ_nkViejna$R3nG<_@n#=$CJZu0Ly#+mG+&I94sDvCs)!YN|se^KXIz|
zeA24EP*lzhqkm*eEPbzA)Y8RO##a=PrD)CxpVO=@++rw0cTEsaFaR2rJF_WCf8(t?
z`qNE5J~27TZ8gXud@vt<_w&yVTA$XxJ1g8k)vsE_HUKIfE_xISqm+!C{L}O_Z8Y<P
z_R&()-ov`Tzw%jb-MU*0GoA);7(PCJ32LXE%8pJ{w6R?nkP|o$f5p58?tK|RkLs5R
zUSIFBNu9hO`|(n31B=U{g})6m4!?=B@yHKk_;JB-yx~S4pZA%WLzae0-%6e>$m`d;
zUj_{@sJ#5Pati+ocqSu&K6gJmf>)taX?0m-f5zX+7AAh%#*da#uR|AXY-}SqOYm6j
z)edtTe^-i=_Y`Dhn{w5&jqL1*GsznM{$dAV++?cG?F(;jouQiArHE_yz(JX{3PtfM
zcc8`WoTm)xkJZdVQX&<j(sTST(UwVk9~ERyZzl&C2jJxy&IODqB{>fZ1%kBBoHyv6
z>6Q;uO|&#sROkSb3{}O)$9Kaiwz}76#v>;#E}m)%N)H-~{)&knctVD}j*Bxd^#Xr@
z=S)gW%K8i-avo%|p;;a4d^Fm0TN%CyVo}uSsE*}$RUxR6-_pJIH-22Aq-22+Lp~0A
z`7LA~UY&tqc5Uqz$o6HUOaBYAVnNH$dZZ|Jd3m{i?c~VeI@+&V7U>aWnTle4hWOR1
z$Z~SZtnbWe9$CE0>lv;gxx>d4eNI(X^~=f*NPI1Wx$3GK8rTR7DJhs$1KAH~0Z?u|
zu7+wtMMPAgU@is&z`#I&Nd;nH;Wh!71n#F(@g&ME#_sd$8ylOO;vf`$Db(Y8pRKJ=
z=CC#)P+eVZwDW5S<UcOMS&zB)^ZDF(U@CwlXA0`Pth_uX!eQ7z{o=)o#iKQY;^2WN
zFN@cU`$s1meMGn2?*S~u)z;Ro+y1J+!pYfa0Sqgj^#Otg%}~&#PCwNES+^fu#cUeL
zkl92-BQOF2GBPrx8h|NKa+_ce7aJN{rv+Z12@&_l{Q)*s+4tvYd8zDO4w;(>k5rLN
zR;TD2QMwG<RAN>2{B>ClBse7GHOTC84<1n1+1csB`=L<6yQ8MBQ&KpRvVxn9UR|IO
zlr=ZcS{*Hw05*9YtO_s~l9JeN-MaPcaM!lRZ7a*w-MwqJEi|*bTBoeMyse`{1{|e%
zfP=G(i%bCl0cZ))uJO1EiW!CK94oiL@qHN>D6gs-WoBlEGAND*3ZN6ts^<0b_Kh1-
zQ(k+MS4Y@oOu#+3g_Z!d4cw%%6cZT$xxt|U!xH4U+0|8!!`<JcBqaXLbfCkR!Qslc
z9Yz~s3=FWsXs$&<;s%r91{c?ti7Lx)Ob$*?1<quia8MTa?}WF8pnzY90rl)%0ri^4
z?T?u*7;$Z7rX3Mi`&Fs_NeB1dQmADrn1!s882RJB{vAeH%c^ty0eX)+C5L|XMYJ3s
z@a*~<uU*~u@864k<Fy&DIuDys{cM3iIZfoejEoEz76j2uN`9ZsKE)e)pF>7#9GSC}
zl5v@tnO7%2QowR1i28^~V#7z_6BBo=O@5?jfYUB*V!{AoAqfSAMTDv)_&-lZif96f
zuK4|T9>}6<@BckL($-W~zVP+yS1!jzMMO+ThZ25m#6<~GbFrZexQuUO@;3M36zWZ^
zKa2+Hxdn856Fp#RU|Dd)0i(!w_!Ux43ad^sB(4#n$W3qwgUtGBdx`6fJRwd_PO$b8
zMvjk<(Vc7ANf7;l*24ual(So!USRdMy^4+|edD%xWp$#46!vJe+=95uZu$ZO2Fra_
zRg!C7+p3{kM3h_zaL0CN+hKdtKD5v<mZuv<K?U&3PV@d=X9z5(#|ONbjDmt5tDeKl
zG&Hu{RGR=ozZ4saf)xDYzY?s`O6zzu!79#!jw~U`Wzvd|T#i=OJlUeVdzTzs#A?q2
z9(nmz##QD2kp+;SnV;AAz2A8J+YUDO{gC$?5wELf_UkTqL+IJ|%V95+@ys33dbxV>
zBg+3z9O8kjvJY^*!r@Roo<AdSNh6J?Cm!3YW29&!G+ipR1Z2V#QJ-r*2i=BWfJ$t6
zqkVA0lRp&Hf=>AVXUD{Tb5=^f&XpuFF>!w@?KBLOmmk5*Z<?YQW$X|BJQhA&EqDD9
zKw%F@&{02iZG=a5Z9>NSrny8e$D8u9vM(T&qrI~9`ajO4!)M-COw3DY-?Jbxw0)TN
zMh`&X{djs+HW&yItq3&`VKh<Ar||%930!6jAmW9U4?w;jt+J&GB&Ibe9+?#{ITH)>
z+P1M^!uUOsH*UaB=L=Jh((@lWueT(%UBaEHs8ec!gUo<9if&z>K7D$XntGm(j}I;2
zASD+4*MM6m5_UrqYXJ|Ckes6l{-n2UN&UgS06#xWo5|YC41Oso)Yy1<jNs+L0wf5#
z@c<*i1^WVib9(F9sK@_zl8DTJMKcO57oM!33iyiVmaykO7c?#sQc^5KL&Gf~jW1}u
z_c1ymX@i1-@W?rId|_gN+LKXHL5A4>8f1O>^5x8j#^b^^7CUiq3?f`Cpo^P3BZj7f
zIjYe9n}AQ;{QD+8J_rpL_1Nan2SybuR5|Jd<`WZ-)GcWMa(g0vIXgN3|64A3BJxcC
zKR7NVxvnw&hwF`;pc-9<<N9;7Gy|BkEZ`>4#Kt|tK7RZtm3GZ-o+R;}M-^CMp`*};
zhyEJYfKk%=7cVR1JCn<qIr335tILj2{XG|tR6~g1b$7ibiNT4%Y*Zl|AD=da1oUkW
z54M(Wz8SOPqU<SO@ZSFs!~<UB)j2d>gku!?8?Xp?a|<8W8}j$cEv!RX)qulxF_gc9
z$OXU)8IboH`_PKP@uDS9;ymr?eh~P672j{0+P<q|h$9t({UgyNNn{`;+ek!wZa$aP
z`AVs2vXX*&7y@C8q3X%;@o|$$00}Vd_}%_o*D8D%us7vV+&;%<LD`V3MgY=oeKECl
z=s5)F>fYsVSGBcAtfCnv^TF8rI4umq(MIz0(PBe{t$ZEx8JvmeBs&mAcEvVyiDiUa
zFylI1z(?h>n-T^Gj{+u2nX}+vnEe^_!51^j6UJ+nM%IgnKb`ukojurXFs5O=jtZW)
z3OvKvs`(TSDsKXf?vYK6U3^deU67W6A&-WW8R81*S~uA=y|c-xFl5az6eI`#L8>H4
zC#P)-`CJQ|RJ^fvaO`3V9dqR7F|Kg<)ytRUAAU&iSZBPZ=;Y*-qh{q{niiDw1|^)F
zkWk$+>~^sd7tJ$sK7&!o026rFQiT-smQTQ;j8}NA$ed-jO+FctZG`t>^>=iz7v}cS
z(9le3WT!K|N=SIJLT1Cj&fY!DszRuZMx!oh-Z5wfx`nlu4MwGYZz(EVfbGI}O&dIw
zqT39flNTS`bZu>Ud?~9KX4nnoY<LnkZD)1xpV!WK)F#6~S+L6GImsVux8jMqcDHwj
z9K(v{KYxBHk>R$~MS4F`oBeu0OZanCjyJy$H*9(3)hO1lR83a+S~k?hA|ISZBqcR`
z&iHeV=KcuQEWQyQcDCI_>uEXqkDPq|*~^s#ADnfFW=MpZ-}c|vOf1}@XGlLhQvs4v
z|7XUs2I5v*U#gI*jt&aV1&;PNU5_?9dVfP$3-`~KPijzSTN@4tP`tRr*YvaZiyQv3
zfvDWO@?Wx1yB`mQH34(A3=LI^OqSJjV)5ws>SS(wtu=D)8$KA+v_1i4JyP@pwX-q;
z9O%lOzU35XO+7t|71kpcK(-Peud>CcnCcf$wQlYXhD{qg_+J<m>!;bG$LBcfw=cQx
zt_JIto1;xiU`godWHZGKAsuGr6yN&#d#k^HJN)>B1Ehq3i788Y39PLDHC?GNq>WC3
zsgxlTnGV?bI|GBW4@uGsFzKYnewZRZSJFN`)LT-gE!_F2V);K2q~PG-<*{;Ra!!LV
zFiU0!WN4+HKE35Td?3J#c2jZ5X=skepv`CA0?}TocqA0n2``^nQc}`>45&)#TZLd-
zLEhW9Vqkyd+X8Tjhw(b(p7Po3wV$7#V8`nB%6tHHg94l|a>h!G{oATW41FGf#%^k`
zx3v`w>aosh^s85N(A#2HMvA9z8$t|btim$7tqLS_lyY`7fUwZ5>({Rj3haG{V+e|O
zm{R_W9I^v-vk<a2>WiX!ix>#FAMd!ixt+a_AFezXmqe2#7^@7WrKMjX3x|f*HH84G
zVMP~an*A5O@W8z;uHQ{U@g6S;|BGr#*d8A+Sl#5m1h!=F>(6HQH8jY8OiWBna5?|d
zfCv!=qNc7s@WIXyJ%7QG0d~rRpas<b#(Lq2tm4ou!v<`P&UnG;4}=U9ayj0y_J5~2
zzL430SU~_4-&37%fhS++^cy^{sAnmP0|`Zpz%a)rBH~@rc77zOqNe6|+oDgW?gCnF
z1Ey2Zpar#4?Yu&M3zYMIPir)3B)ZCrPwTZEwZpeSui<uu8{2{S+v8Tv%BuDIng6FW
zR}Ge!xj7U1EuT*CBfh|=VdFNSY={2}R?VYJ`QL%d1YhkwYXHRgs3GGs?X{PB(9i_D
zbQY#{2Lw>i3cD#Nv1o<;zJvrienc5AjWhvP4+gc`_|waC5O@0ou_|uc@4WL%OLJ&k
zQ|rtQ2?#XjE6^#$gt`|4jJ(*J90XLQEu|ZvCR#>E!?$Vg!<&660{;D?rxR8^>y4+^
zU<=SeArO!e1l$As3m5Ko6xJ5Se1gDa7yvUWu$CyH3N}EVZ5bFKfqJTNwS}sUij55@
zDB$qiY@<MhhPFUKpm}Tl!9#$Nlqn)!-%Z8=vTuT3p~I2pwL9ijmt3W~!!vt+ZsUvA
zt-{}Mh`wbhB?ve&QPa?DZhw1#&dn@Vsb)yib8`0A8R+YW0p+FV9sFzbMBylfv{L%4
zgO5F|wx>rcDv*spqfS{lxffZMXiNy}<p4nz_|{h=A|m*me~~dMC1FQ@HoF!+_WzdU
zXxmC!0LxkYYzlc#G{nm1w!TD0_7ZYvgSFRaX(Q1xw9kGE?W?G$7Z5c>doR`_52xB|
zAaM$wNDBx#K;F@N1ro-3V(}da2L`34rnXh(wLM!<tF(WzrY~p`h40yVO;zRByN2e{
zN-qkSsITJU0)abVB50r*7l-TLta5W0ayHzq8%Eo|h6o`Ml`=F^dc(Uf_#xw2`m6Uf
zNYjwv>sf*A8*T6sauTH3U7HLAdq*t$oAFH3i$&VZ|6(hl)tUY`_t1Y6p<`z!l#-Hi
z-5!v+*>@YP&h52HDq5c-?kS&BFW@fkd`?ev%FNEaft=8m_y6oEt>gpzg#UOy+vhJc
zI;$E=!PyR$?Z$WOVq>VW1fItPKxZ*D$Vi||zaDbEvtZr(Uz1(>smx(kPZ@|ijqnX#
z%$z=@&M&h`?e~9TJB@>k*16r5#AcKZLy#v)=C{6^nwny0gc0-u)_^En$Lkvk8?&LD
z_gNp`d8%*-wV`!Z8@kXx{Xxd?_s2qJ0PD%XdpfL+azoe?A9SUSy*)f+|KM2Au>XJZ
zs;+<ua@{wCb}CiS`M$Dp#6i&0|L1gABh6VltWLvi{cUB!&JG-2ba)dS9jTxTGzbEp
z^U3F^!v`(DboTb%p(u4$Rd1+dy?L_@(qCK_eJSoslhm39(j0!LZV8->MT6fP2*uh8
znxXAWfk)#u4i6s*Dg>Gog4hLzQu?FIZ+kEwz+j%ZZGQI7=4U>B(vAPy=-BP))0+SA
z8y`i8KwX6@&?zy($a;|W^rZRt|1iM<P;}rtfFmQTtSk+E3=)=MAZRtWv|zz+l1Ki?
z39n2*W*~>f{q8H@w5LBnfQt4VdWpcd03ci;@7c4*9Ty*O+M9G|`OCW&ugE7u@4;Wg
z^~V5hWFJ&QwEhW?ZnQR0Lw*Qv^aCi#P#n;G-0n<nXyB#zo*0s%tMMdQh3g;fp;>{E
z$H>Hli_X<T90XJJXafr!jRV<+9Qs=mgsoJywBU4r183xL#a`hw<&4xY=C3olxbOVB
z0nd$A5VOC1hB=d2P@o8wRoJzA55d}N1=k#+oi|`$L4Do;&@L$n4G!D)2$~SN0|Z9c
zKm?7xcF!H<@9*D}bVos6L7~lz=QBX_Or_+zJZ7C2H(}~JuM9)@_Dnv45KF?`%b*|y
z8=C?M#xj7*OaU2h5PTm<N}7QJ@D;QG$CQsFrzd-j3Lx>d4GgHFxrT$IV>B?&ZaCq+
zhlAUw)V#IWVqhW&7iXmK9~9baBf|BUq6Q}~^f>R9Oayh!h~AUo!N}2IVLE>xAsm0+
z9+l?y>C*0Pp;Cu;AA$1t3Q~K6`|fa*^?)nVt=DZSho|+vz`_fW{pQnmfTBTT67rn?
zYmh8O9vvi8Ui?3TWd9_w&bCmBn^o3HOppPKS#LNjn(7}fxS1u}cKdd?v}vkoq9T)k
z*WU`y<DHRb;7htM3{c;BOhN^!u4HCca3`6ZKWZnL(e`}<MAxA2Z*UotC=6D(K7bU_
z9qa$rV#{;?uNE5upnK(VcVFKHSRZ^?!l=Wp%sY-hQLZHWA@@$cT)M^Bpl5w}>mtce
zAUdX0Nhu&8kichmZLu#k6hgmaf;3k5NmzNv{j_5~g;HJnGlrtVY$TK%d<}UUSQd2S
zhE`Ff?4LABnESPjWt78jlBzw|xvDQ)VCMM?)I*+snOow*S2QLTWS*GKwjLgmV`%nb
z<$2~zrw3_uM7SzoXE-(4jT{?1I>YIM`)BBWK!Wwx+n$T!9Apfn9jpdIKyKvG8b&&k
zI$&-<p5K8V-PhF(zuf@>`B6C%j9K@ATh`VlCYqPQn;3;!JIfPT@qn>StT8D2vG3Iz
z#<$&nIp1!Zx7?5>j?HP56J_o2X7O~}5;Q1v7TIIu<}RHj&ZMIerhoKTe6kjIXX|;D
zQW$EP{tE{!wlXk?pOKbd8{T90FFPgN@SDcmm%`{TqRqZA4la&+f3`evDjf}hs8Ch&
z`l+z=<uSqRzabNx^+u6m_?Q^jm|w7}ahvhLBH^=1xkjQ|-huX5l4waTA83d91>&<P
zV$IO`dCAk~1~ID5b+AMis=v?Tvu<>%EN?MJq!uD5qampET`;>AHOfvigEA(d3=LUu
z$h4>OJAE<Z!yDjq*tfs#ED<v>Tyu%!9uayGRm-{AmGpmiUnDRp!oP;I(TLo&zIyj5
zftEHr!kEgu_fH(5qsvIlJ@1d+1+_LSDORLq5-CE}MrN_;&Rht_#ywvNOzN-HQEzyq
zV@G*a8PbEu&^A<AO^$|}{<n)6WabD9MRRugs}jo;LGzV~&RvEJ^0b*7d<dUZ(6pVW
z{4soJ9>EyB3yqM;EBtmgqXOgsV(&+%;44AEKbS=wB$AXvV3W#DqN;G_&DzYOm$(A^
z6f-~o@y2RaRn=LVM?IizKcvoeki7P)IbDLl*CzU2yWO??qVIyt2#WuDL+!J$%SIg7
zrWn;2)kFcsWcISz5?!^^`P6z#a*~6W&dQbPvV*K=>^Vn7k}cpa!)PAaa1pUuVpU&w
zQhX;_B4WhuyZ)Xmnon8vZt`pQVeg+-*)1#>?Q8*?h&#ff*2ITNtws<uEE-^{B5xDR
zNCJfGZ2Kfz#og}z<RbRV#?V*wa~34kDo%d?$2OJf&TR%Zp34r%6j}4%WWLSfw1B*_
zEX5yZ1w_`8KQZ!`()StC;jq-8rQ8mkkLqkJ543iKuFc{rUTkK-A;NjZ+LZSuVzm8A
zU@nu7V)Sli=00VU8FE@`oZ_C%+6QeTMaZdXPF_>7^Lo=0#06=<vd1SlWxTP^sTYAu
zN}`H$#=d9FGlQdx$jW2r$O-D{_7&B2`ht@>la~E?G}K2i-)7+7zZ;?bGu*kTR<RvB
zfb(vc`p8vwJh*)%diG4stw&0NR#y$knon`QsA9+oo?kB_)LOEEcQo9zG)dD7@u4t^
z!aVudgVIfAW|fdgTPpgTfQjLBiS7aG(Fe>6!RK<Rm~vJFML400aiAY*yNO{}9xs)2
zG1v$Lq4BL;SkQ^$6+bqC0&-!v5WL=A%GUi|L^XGo(JxZfp~lTK(yl~U#K7{r!%2=r
zIt8P*hXqd-9a4{wvCpihgaxCPf3%^uV{N=g!*c2Ek4Sm?3u06^_QfnBiHFbn%2P8v
zl3X5xb1s;a)y64;9?v~IlSY?fOo}k$F!?hq6H37ySocpUzZK0rS@)ti$^A78bSa(P
zDrLCWaZQ9?=)F=$1RQ!-mTJ_ez`IRp!x8FkP(3!BJeo`xqc}|lWF{CrMK+-zZnWpS
zu9~ols5RLkb&hkmCr+XPkI~;P&e&+dt1vT@vXG6*RPctM6Hc8vgY4whf~UMXOJJ`o
zo>4((E!{dy9S%%BRh{C*4RTJZEcr!DEh9WJJe-Www<EO<zrJp<UdqIp!k)Q6r-bbY
zdnY<{$HlX5`I(GSiENvsVx9@^j|-a2raXc(-MywmL(;#l!NOyqH*@(7I=stD`$K-?
zDp_qP-8mOmuQ~N!7J5t4y)u#^FWH*!vMg_`*b!ym4`b{Xs=1OOZ#Vt~((Q<+noODU
zFhvJ8GKFhXT+I*#RY!R9nF$C{nw=L)SH57}?%pcZ!I*qoB5vvGC{fZ?>HKuCPLd|Z
zp2QQAhOBiqZT^D1vGPKQ8dq?jUS*pby=E=tov^zP+Rg5B9ys%4J(mCR1s8o32J_Ai
z>{Ti7o^k3zLk`KKfAiM$$t<WSL34SZC6RuKWg?@3?1kTjM!Z+ZL?X2!SNby^ri>YG
zmYDpI&k3&ut^mTB437u9BPw8->}N46hd-STMv$cO3A_qirAuFAWz#g_H7b1Vew@Xk
z)kJ{d9TXz7vW!p%%@DG9s%F`{D!gKQdRAG+XMGw$RPo+_%qo#(l_aoNWIY;(4~j*9
z5IcjEfl5=F18pO-q`&yjjZ8J!5wer$J#9FCkI)O0uC<0f^aa?bxHPjdGa(2Gm48XV
z9`)-xBzQNpFxF>IPUxS${L}^R{hvVa&QT9V&_|?Dqes=@OVRAXYc&o{g58UCQ(7${
z#QvJOg^n4Ep!peGZl>Dvs6%#D@G;Li=dZK(t-K$V%X7|e4`Z7wpz<MAUEJBs;Iukn
zP@i{3Li26DsyIBb_KK|<`Vw`@3-Z=qbkuh+MDj>8P^?8BhX}7^sPDpQ>DnG!_Pbdi
z1&5E7zDe_H2wRzdf9~@77S@DwX21<KHJg{&J`@#}<I>dQ0wJl6RQxskEv1DSWzU~7
zy4X^`b$WjJ1H%{I7izv=e-83lpXyzScqFH&NK~p6l%%Do*mKD66{JR$IaT>b`hX(4
ztNQ$NGUpar;k}#Au*5zouOuQH6i83yH}w3x*EM(ur(c6Vuh7zhORCh{t_0mqAJNYl
z)i~Hl9*^^gW5-KaO*I}AXnybL_qk6l(Mh?>YzaF$_4ew{Bk85%3HOt<wV4?%bnxJR
zBwL#QC0o*Pe5E*48PW0ZLBF=_V6UfF7{dJcFk%QcJWU^bpP!ra2jt49<!U7!aqZ@P
z6aQ28Og9e@`?xK?Uf0VO4>$T3nyPfZDp~mHc%tRLq$Kf+9F2p?HZ@OXKVm84{FwCh
zb_c857U;W%=|NY}QO$=5OX`_H${WliJ!CVY#*wU49eEt!!=N)b7tyo3@*?-)`$F?b
zev&#&I+=4!5J$N%D#(dOq=D$Pehv;wn8kR3pc|<cGk%vUq*Y9n9)=EIfC%~yeS+Lk
zQdzQg_`_m9_7D-(UDP8{tw&YP2I%}lcmM#t0SOkfApVa|t@rUw-fc7{eL^XT|I&j;
z7}PjPVEV1l#f5_z89p~i0II#Dq*Bn?f5HT6Gqazl#21<->wDCj21k^S%bX2%oIy|l
z$;=3ZfGXuoxq8qtI{W*JOK*yZTm#u$DJANL^?Elbd7D6ae-wV0@+&WQj9wxK;On&P
z>mX?4ZpoU((xi&*fmBp8R8@M5vK@n^g}xSszMBN}NyEDF|7HGTXreJ%QiBGaYubK=
zk|XKwBpc)K<HY9AVBH?)Qm)_PA}>KUK)W#lWvfbg?#0gfG%eiPbe<9gNmM5CniLqA
zl~S#{4@Ap$8$gdkUrS}VdDFJcb9PRO0%AC!{46Vv^j{IvoG=IqpKl@&3q8K^?O`Kr
zEIJmhnXmQ3pI9Vk*aafNXqyh)SsAz$Yu=X<47X&%sQ4}vH=fkGHA0#gZ8h)i?yAWD
zfIGDJ;l>##Qg}+=dJgaGtzRe6?10o#y7?{0$8pA)C<~Ne`*{w~yPCcde6mt^^(zFu
z=@^zF2UA&vj-rG4ry@VZZvMZ=#<c{JvOp&y28pO}v-;1UXOP|~Zy$(HGBNn*avp5#
zovz=8CkuubNl6|1kFB~F47_p**AXM0M7TTF%a{v3BBX@D#eP)jRanpId~f<V1pKh8
zT(>D)4X_`@_>uUwq-IkKAqckEu?RVF=J4)uwb$WYxO4cz=kSA13*4+j-<pHuVe&W-
z`e1{4cjMEOV|%B9eM4z8v+HR6Z?(K1%!Z2(gg3DfI=InQZr;m7n+%E(&^=SQfwX@L
z*SuZH9#`#eu8)uDUZT5>k7DWc^}~><E(=LSbdk$kB)8}i&XdKf;%*1cQ4V<2`*&7{
zb-gZOWkGSRo}*)Vo4zV2i>r%$iIUD&OsC8#4P>W#=gfYJy;lCZv?Y8jrmbD?oL4*L
zl;$1pzFOL`+D%g!EuWkBF7U)VH%9GF3+d-Shm5+OgmpIp$HvJ0tkf`*laqnQa)e*K
zlMa`ih^YBrfi#amuI9<Ntn+X!C<_$2x{XhSh@`YM-1ODX34`?RRvU#OQUW1lP`PEm
z4FaiUDOTH{^g|ZJqN9Y?s{KJr{#IeBe%Ee_Xx@2pduL~1-RD#YE!ZC(e#?*{?n@Ij
zG)bfpbeaKiQy3z&z<sHFKTNrYg1qM8IU>TTWLZk~oajcI+e{M%q+{Jy3O_uVsOARM
z3!PCxN38~n4QYWXqdongsdztm!4W<Nm%@q5A0J*adA;!V{7LW+oEJ^`oE{VQ%|kKy
z!;wI2=hoNz;r4k1+%CQ6;tK+L>Emv45I}4m7;S;NH30V=L0b*Imkpv$I@s=>pp`{5
zlE~+>$>^EHs^t;5KMNS_-<?r<$xqU7soKIk;UK<zj?E6zBJGqC4<BBIYX%VS4+HMW
z?Jz6Jq?piTU0g2>vN-s;aHZic`VZk&FI;Hr1>%hYhZhw5CCEu{{~nKrrLX^)@AyBm
z0H7tJZ)9>d>@xsK6^3*cuk~;kEYOtO5)C9{Bnux_qIEa)UzqmXI*(A?(l-K?72LxZ
z2r-~lh`5`2?TnGaYBq_WD5X2hwZl3m!!=0+3YMT!^3fr+5p)E&Hdgkf4EBul$`xG`
z4p9DBcPZtCc0uq(->d_Du^TRfp+i2PYc7Eq@px}-5|ox8^j-7Ty~kiY@46~{H%xq3
zF;S0_ixM?9t=2imgG+TFTBh(bIG^NiYe5`V#QGPvXOT8G$P%@|wB||&h|rWGp8RkV
z9a0y*;1MN|FiInCrjP6E>Yl(nidrgwMgXCf!q%;;)YLsk2U~<U*$b7~GV{ol(3=qw
zta~$REO75)80EFJE9Q#=LRlfa=tTDM@$bn)xE3iVD{FLeba1rxym1avSF7V6h{0|F
zN8$><JstQQ@Z$j9z+ynSz4fiQ|HkgFIplLdi`qKc>StttQoRl05BNMiv?m*Qw+!k!
zK}ba3)}HH#T#EELGJU55nzJOxM_?~ALT|cp=T0mPWO6-o)z1&%4)rmihiX3t4-XGN
z=(+D6!|dR^69<kPg$ERN;`G-Ym?Q%w#u9KHhqwt62vX2C(dm<x7Jsm8WA_`#6ivF_
z4MJj*1BTie_%^t3ACP=Ubmt@8ZaxwWyn$ZOp2QYLOZ_T2Km9^)u&!U8r@D)_Ug(O2
z>|I^?;RXq>?e`b}46&nLe?dkIX#Yr_31tuWJ}y68lugx;*Q7~mWy{pKOp?YCUbrE`
zb#ecCN9xkjE>CtUjkc84*Z1e1PdEe}yQ!#LM5iT8N=qOM21!9I4st>W6MpddxxKr)
z2qxI$fpjT|CX~R{UJ#;?re=S<&k!Dc<FUqCkp^Ks2e<^uW6?(qVX9AHV?YM)CR~#?
zYx2d|-ND4d`hB{$xk)c1^s$x4ZV*MnD6g~~5|a7e)c$(kkwe7Vnj7sYlzUmDd04Ym
zrAetyh?gM&TmKf1(8Liz-MP9e@f@~ND6$sPCR_Y5O5xCPEg}!|z@+%DI(25s+vbYb
zZ6y>8H`%lcXkjs=B$vNt629V-9x*THhG;yrG#R+>!|yPQjlNzoK7LsH8)k(9z&iPf
z4!C{+7m3y1J&qWZ%hVWpCs&{*FOZB1ek75i=}Jg1LF8o~nCRShA)g1%5k%Lhg@ymP
zhp&CF3>|;^F&u7=Y;>^~mpHFz!I?vzjFn}2eLQ*^jlM6`(Gi44>v^&B@b%<dajXbx
z0Ta7i0Wk34I_Eqrk<<EADy*U-7!nZLYKN-==LiYQ<Mm4POi%cmUw0MAO0}td<&Gh<
z@b1=-BjvnI-TiRlP)$WDHU5gRIdKV|EJ`7+>TZiY7B}Yk^YbBuUe6uc{&IWl+8Fp8
zJ42q!#PBX$R}wkdH$|@i+`oXIG61t(Aiy0Lfd<QY1X^z0@$PtATv}{w8=Su@;P#wv
z%Z|yr>SV&48S^YX!K~&sQvj#bev^npbm;YxSA0Kvgx2RLXC0wKfK8Bqetr;me~lDB
z0I?7QZ7;wNhN$pySOW_c?x2Lx2*tgV2>RZrzX$!K+@hZcLI#pA!FPh6?a^$J=G6`}
z*KPS-5WnLh5zG%jelg#FmsIdzfVR6zI)T`Xl?9*$>d~cFdpAxY={0gs{-d*!T!+fT
zl*g*D9C2G}*UVog-jg$41ms*J#qlzP>%k0z+t#I}!R^H0M}^)t-z$P!f{00JX&*op
ztVS*`KS8%WxMZRPU<V?3kKtmQ=kA!ru3&Uhl01xiV&M(3cf)h=xUb*5QHHjUcG~W_
zZ`0Ay`9e;t_KU;B6F6I}utZlj$6FbhbPdAf;@G)Am$AEtJ2|;1F3{h)wYCL0+7L#V
zksRRJq3=^$4(3GZaFAaSbjpD)qyXjwB)HVUlbVO0&kzp?Qr6S6j`!(=4oK;sw}4@f
z+1YrqQ+$7+FPZOw)kx7zkmO0hHNFDTF$g-zJ$+gPUX>CE-<j|lU&|gVB#L;|qEM^T
zjfP0gvxSiQ6!_Fm2=~f!s7ua+=|=&V-TotFgZubw<k9o7?wVaUFzW*9uCLa15Q`qE
zm~h;nk&tsR&|8G$3(hN;3F9AjHa1=Xii_KCfW+}RItUTp+^OR?fjz%OOKX_*Gfd{`
z#r4r49xf)`xYp|mE{bKIs(-aKTN1cUFL3Bp^}KVO3)x{56nqHREA-|Ms<--t9z*Jr
zfx)DF4E^IJ)bh1%f_zR21Ah~~6>L$B=Ruhlm5<Nq{hfROsyyI1K#-JE!^P71t13Ki
zG-MhyLgm_H)L<XF=7Y@+ycEk;QA$w?+@JrL%-?rl_sakEjzi8y902pP+1B8dI9frc
z&Np1asQ1~~p}pq7ydeT;2)Ft}IXG|MR<8o903h|viV5@b&r|gtkKw@VKBLyuPh?<#
z_l<>%`aH4EGvtK=U(a&n&rZev`92+fy%eXd_;Mq&+Wg6%x<Ga{-PbxYQ+V3Nv|yE#
zfn75OR{J~bab4bE&AdO=J=K?>WU8|7%BHTe9~C!I&L|{P{Wjm_!Bd$0f&;C*qH_UU
zT90>2N=dvw;8&*b(;Mm_>(dtD)tx53^RS%~ZUZ?=aFc5@iPgJ5PIlNek8y!vqpQ_c
z&w07Bu`Fq7JO!)ac~>8M)No`vJcPsE<a2G=F+hn*(K?widDz_fH?FgXN)kEayh(te
zDkzlo>lb(-X!lk4c>CL~UK>m1pC`vE@->)eQy8<2Gyb6#@d;)asZKzE>g~e>)4qs&
zK|%ro^zQdvkjQ0|TM1I@y8Pr)evI1X>vwhCb&Q#2?1&yP1tk6Ki;#m;qLx?t?Yb6h
z)7Tfy*_DO%6$atd>Ay+u3yaZbNNwRh`q9{A2CUylmU2sA+tD26p|@4@1eQ%c_ZgQ{
z?7sVzDW1EtTpX9!P0ghe)cYd3uK;>)&QZ;Hnn$!*g!gnUA@s@uS!^EBtS*)Cimx`!
zVdJbWUfnN03)|LiiaIauH_lDvcg_2~!^-`OB=08o)|#{tz>TvXt122eP<rKpLb#dw
zFPKW@S)HS2wG?uCxv)0KP$^fe8th#Z`(PwxjoMW8ch{!&X1|Nfbncw|I@3p|_uJPa
z%%U(W<-uuJ*=}Vd8-ud*)_W~1JH3%?nS_TYwqeQH#X207&18LYQZ~4y3zPW6I$Z6T
zuY62(6xJ3fB(K-2VLeZWtbqk0YSHnIP5J55H35r`w=wMYnY3bng7oiIivKdR*o<pp
zd5QD1M)-Dp<3N@Kp5!euK2cFY)R%5C&KG#dgO~o8D?|m+Hm@y2Y;N%jX=&Ewm)o5d
zQ@**QeS3(<#+!|`2U|<g4A$F<2feSqa9fLB_n8=9xcKCy#if>B=DvvByifz?n;cs1
z=eF-JpC80J2{(>@;XF20kTO19t(dQ`bSa+Uk?kj8tPder^>sw^1fEG`=GThD_F=Dv
zIL=_kl~y}a;&E03@|Lt0l>!2-R<oKF%vy53Z5waJI8E_!lCTnStMChM2RaA8GyhmV
zr?J53T{Bo#yO~$b-G`5<6Y@y6WQ?fz&h#g$bLZN%+*H}1WY3|ifE6!XpLMUghMVGv
zG11(mLoO`S_k-sjNgh4Rja?Df#;Wi1IJ#DX`SFD_=E?-spPlUprjFbfc?6e}8S14H
zu&`C!^H(j2R!TQ-1ad}y>N%0eS7puAxRZ^Z_OT4c{?)X-CLCO<M#(Qo{yzTL=}>qN
zDfXLtI60wvyZ*yKu(Ey+x^!(_sU$dz=908@NiNKauVYSjAHL%IG2lRye7>NiE3Xwl
zdNFK2R!v^h_G~%MrH{xFMt4)cWqkF;hS09&*<Ocrdu1SU9$Wcp%LwkUuJKNRisRsz
zLtY*|lkO*?o@Nz8?8y93M_)@AXNgBU)Cc0Nzk0uqH81jIQ=`;?r%0V0l@L_0LCZJt
z{d}eU?6z={;QC$ziy+Oh*?0wse4%FTj>=u!HRRTn{b7-!N@Af3y-GG^#WG$*1Uo&9
z?k*uNmA`pl@{KlIb;*%!kIx@(_undVQ7X1I{dP#gl&^N-KCDb^I;>1rB`V?TrJ{W^
z%M`+LqL-*2;p4&wX)leU^>pb4)#vYT=B_C4DP7ZW3ssI2Cr_ZCSxQuBiTs;b9`V$p
z_qwsvNy4+0=c`T&2AAYn7v#~~SQ9g9c7@$un6;;e^ViPu5Kj|j78Zr1tEYMOnEq#a
zty=3^{2&ZxLYKMiin1b(b3tltS5g^X2z*+8&vkp#yek+gv@=uaKA-6_9xnzDmkn1*
zAO3U?{%wygW-DkVn&IdJ98VI>@cW_*GS+VYz$8Z?=JerNnS4%`b|v2*?GDWrA-bE`
z7g{yj%B*0T|K->!U&|ZQo}fh=cUbNgtDIM_u|-F2Oh(ZG{bH?L`u4R}=tbq|{`Tx#
z6k*%9k$4(0Ya)}Ek3P5$+@T+xZ@=E{gOP^paJ4cAB>C_QOg!5e#LacQ5!#1Si$85a
z6i?DHP?V6DB{xd9W;s^D$t5?4<(u7?R0y0s=<InfMsxV!v|~QirqB%!XbcJ8YFcU1
zHZh*>5m`+5=EuP-1wXn<ZpvYO{#UhDGDWflUNXD#1<hOnK4B><5Bx_(H9n>1X_nyg
zhT`D!a<6ilhdZ^jOBdB>-|*!&qYqOeT9B~lDe<Tb*yp_4QjuJ9r}xezs|3ch-^~Y<
z4T=P}ExNd!GV?MAST7}*W-JY@ZF~8S4_x^G{paBTbZ*Uzvo7?w6z@rw&qL!a{JR_}
zy$%^W69$V;k2}aeKJ>#DX|v}GOn9$y``ZuO5jn=sKVIY;wlezay&%MGpwOXT<47Cp
zrY@*nj?KGLbbzr;>??}Xj>57gj7Zal;_yVD7psa<vqZ*?X<v`1|BbS@0II5O`^7hn
z0@5X=bV-PW0*VMIEgb^VN{N7kgp?qSGzd}(!lt`Rx)DXXMHFdCCH~jK_xsK_=ggTo
z|9765_u+xP_u6aSaoxYVcxW6+;JVl{OZAPIsY8<O4Lj&sWl-IJAJlVl^%3$tNj9yO
z(f6G;SR;F$O#QH?r@$u`4Td&T`Hen9(;wQJMYx2s#wLc!G%o3ISCY=|3Xg~$Bh^#$
zXm-Is!QhPV??NKD+~1Z9)OcbZQ3pH-9ApnzNK3nS_utAId+mC-d5pww6Q_(!GwmL&
z>sRH!P+qn$dU<_gRX0w(Ck`18=qS0u*auTnV+054ZMtJNV_}ycq-&_>96k!bW;Hb(
zCE@s3M>9nt5u%%yCU~u30`m)94&D)6D|>@-kov&#y~rSf<?(~(vE44#=`hAxt&sP8
zE~BJ$K2P8!MGUX$C7ou&IZ*=MvX-l*x*DWck_CCPYN`cCrCdW)bL?~;isK<OKvz%v
zUD3GC%ob->Pp5E<OaNxTZzyi#XZcLndKb<v)FCs*;#weaIK>~jN5Yq)MMYe0ZOU4N
zv4q1Jo5s>~lbbK2Q31QsP)s#p@LgC%=7O4nR*DUK@Og}j_$k){i-_`jD@rU~st-rT
z9pF6aj4YgJIocXI{hILu(oI}P(kVgn(0QJhY^J);g{n#&G*@p}nfJ1N!ar`i)B*WX
zdKI<@KaaWN&?jVMZP8x?JY;{c4NZTWE~<IbvQ>VaG2gYL?+4t2>9czvNG1~W_mi#2
z<!87m7^fsA0Umt6viC(3xOpPRD4r9VyzzOcS4DZy+9yz!!Mp$mHdWFXnO#<U$0|)y
zkzcH8Fr=z~MUTP%9)t@Tz9kJ)k06P%2Yct|6o$@lkhq09x)2KMzv^5s8?keLb-mIF
z?^WYXbK6P<rdRBzlz-E&)rx<q_86(6-Jj^78T_R~#)F$o8s>vzw%yTv@nzVt;<Ttr
zDpIj+aErS<q7$~(q)zVt+BfcyLnj16*nokE3~u-sf_7h~;<h3OyP9{))7Ku4tE^zp
zm`QlPdGotd^i4(4i~HwHxR=F5;T05*@G>-&pH6#`!v%*65~RR2UvMYPiGLVh{zR*I
zn&9__9{D+++@k?@OPlE9Qz}%bxZB8W32Xo5kyknlqFeckmh~$>ckSBp_&VzN+`bA%
zC+`OJTlQ8k`4g0k+w#+xF*>`@uLNrKHuWw+cH*&D-pB;He7En=yLJ84lQqayGOTVH
zi{`gf0B%l7M}Pks^_=TK#GTwXbG57@v)~Wo7P^o{j}+pMUOoK`A{#(--<7rA*ZNX!
z6*{)QdMV|{e$%N}c+PU6IjDa75(QhwO*Cn#LffxMNTh&#P+XisD*#+-DUkS3H9V@R
za6Pl!g9EmBq=bjHI}lk5|NVp}LW-1sKWWh+i^IP^LW`Ug17|;J*}=#*kdyY)HPz|$
zKS%d|Os^&my`CA9b^L?k+%p&YvzJpYWjFOPi9PiJfg;c$@3(_K=ogRMBA{nL{NX>i
zk`baB&(EHMp6zgQ_5?YS);#-32EdOQoWZWy&(Qk-s<5?^SG4^-*&eK#8tZ=tySnDW
zMQ7%UypMSR;zEwnkPAXeK_LUU@K~t@f%nlOQ?FN(D7T30dfB-<!-TD}_)|_H`cj1e
zD2DTVE%0;?Pf$MMwz3i?Y!Se$78+Hco_k-mh`v{-f2$*cK@p%q7+xj(lOT6=`rc;(
zND3SmV?aEb1me7jhfR?F@DrlF0GO)aciLM{>{&#QIy8Ep{7!?U#jCbs#mx4Su77r{
zvQ^&p0Qh&fRyB)%{`^A5E5=L^x9vI8*UVtdxGfR^fE5zPa{00^NUa22R&`U|7R~|k
zt7E+ix=1brzoQo$`qZkW5ce+mN$@c|<9-l)^|DZXum+HaPQ>=<W5eYB4lqFU!X1P|
z?*-8H9sxH3ei|X?l`rSRoq(mA^4MswovMy{#poUc@}=$HgSS4z;RuQCL|qjUdJgB5
z?w%g>YZ|bFA#z5MWFo{F1E;c{jTigkaFJlBEO>n!FFU1hXt-)EA0!{|&ulBS8HPWC
zcJ874MfF2?JqJn^`WW89cJ^M8ynthx6Thb);Fj{jErqBnNhI#gyAjej;G4EX3J*Xo
zc&}a4_P>15L`0|^#SV*d($dmyfCa3LmJ8kL{Ni1`;+(PpUdW|}{h393@4u7IMQgK7
zX@K&TLGo9v%UTaON^9J<m`zMf>h~sW_I8om3V~t$AP%f{+gflYCdJrZ8HKM*AL0cx
z4geZieVzHS+)PUo1=|3+1mS}<WwZeT7p*Q{d+Z~atz>ZmcmQ}COiL&Rs_aDQK&kaD
z{=pM2NAbLo9?%!(=oF>iu}Hn{6u7#&dbJ&lwi-XEe}OGi5Uh6qJsUo5ScqsSH{;|U
z_>k%z0yjPZBLBt`ZtYJwAwvj4@q9t=MoG63-lq1&24HIofR*=_;h>Csg>w7ZRG0#v
z0bhO<!8Qv*W)xtjd?GG)B^nLhxVvrU;NP(ejKIyuU;oBXxU5XMZeFNawR4f*=tzI7
zw_>~4_p<g6q9CHFLdF6-i#lv;LLD>{&Jss4q<|rSdq9N4=3EOzTMVCg!V&V>`cxA5
zT(-u{BF7WN|6I@JPR%pyOyGZL2~xYGpQ_#qz)@Wi5{dzb=-5LhfRq7Fc?7UFB>7-G
zAGLY>m=jSogFqJmHHN20?%qIr21iEnYov_U!Zfb19;wZ}8mlf^WYE#}{rh(^Iyyy&
zjm>%3bQ97(ScQbhePBI;bM+m#7zCne_^S>W5HM>2JqRW7&~pn11?fBKFww4A4P%4#
z#pwAG<zIdaz&F1|h_9!^y+mMGxGb#a(~h2AUWb2YPgNjqv%%&IKq!j5Wk5ARfSw;v
z0*OG>Vr_nXU{6X$W*WIMu`CN=pBWJSxwqWT-~q6fdJ4n?nm~*wkd+4ezB}C<X##N4
zWnQfPBo^YaHk5JaOP)?7Pzm6a=!QiVQalg`uqS+J5DC_OF}n_Gb3ooe>KF>J;x<If
z#<@KS6>{|d0#$nFyBN0dR{z%K2Q)V@<%&6qN8<BFt~7KMi8}hbb-urMnrNQ%sKW7M
zvr@OB@ifZyj&oCweM;U)q~A9A7!X~^d{&Q1h9II(8F%n*{`v8aY_x9ANl8mWry&Ax
z&9J7XTfiCKfMkZfF$|aj9Y9fl#jaG+x1XAlQWpG`_mq@)_fl@SHzc$JFJc9E7=*R&
zKrD;6qNaMZ72*tQ%G(fMq!}TMNQgRuwM+nz_%`5@k_1dJ!K83eO-+sd){7KKoE3my
zLWmL#L@9!=?lQy(BCtQa9b!v>h2`gH5n}U1;wZr?u{q~YJe;p5gv@dPti_)FAc65=
z3O5k>1JB?6qA0K@`offO*!iIb%!p#si(}nNTUrn(-Yc;{P+!1Og#cp(fjR~(r`$Vi
ze<qeuU>bo)Evmc`1#4?=MBfUE+lnTmsgl2khm=4EFx0_~p$g6FD!B+4-aBx($Tr>*
zCF?|loL>EwWr*A#)p+v92F79Q!_z-Hj4uvMqNAf%nHt#`5RECUjm%tJ!7!XYLqujL
zfAs`W18jRFB?5ispYAqaq9LR@`OK}Af5VxUE{6Ad#6~gwmFJ~Od3E~J3d+hOHuM5d
z*4b~!ek3{))g#3AMDggHS|+%Jhnl!4mBwbMYY}Z9??{on8g;Gs6J-ykQl(T0+Ag}~
z<s8rnLx$?Z$9h(2X6S{Q6=w;Xue{*ci~ylJ<crQNM&7b)3nG=8(bWU;1@e#|e!Kn)
zf;piA;MuCDa&9OxsELl@AW)?qs&%%3@GnK)U%*rl(q4VpbhN~e<R}0m6${)D#l_^p
zShT^Ci1^mabL2oeR=G}thPmS(h!4*gaRGoYyS2AB6jp3tRaC*41N<7EF>n)zzXM$6
z@qC5~E-oTqiI8CSgL@7ZB$KU$_8@#1oaSIqf-xWfSvVfFhyMq+Q_*%cl<eX~{hX0y
zc%saHLB?S%gM-ARC8t+)hf5NkA*2r2B&w=hlWNJQAJa#qEDwu04gfW$41=NfOaJg!
z=IR2POcHm+nS?(_*k3PG1<3`u_O!+}^wg+N58E7}eMEM{NCGzT?-LZO1u`)ZNvxLJ
z99c3FJvbD95xrfle%!SWxIC1p{vSSYK<aIN>oWSk=p60g<wUeZp$h}ke|R9zgQvg)
zZGz$Do~kO|Hv0xo?%y4V_aO*(y`rEt>LDkG3s^kwPPItxl^!4)A*6^Au~@-&BXM%D
z2r;*DwQu2k5UZ$Y3oLK-VubkWpue9VqAI5f4FINVy9JNQxI`D&x`t!o5J<N|BC7yH
zXJ%!62|EgsTZ+2CC;=9JcGy}}GmgRZ6(PP+9|KWC0zf@<L^7$uI7kw6V1}VmTtrQC
zkap++_J*#30ltzxI!a)iAM<_!*U(2p*XeeIHiGeA(rI+YdcbmwlwpXk#tSpj6P~;o
z><9=o91x$d!x&5Pie<UxT13ikn}<#>mp%--_PJFKD&lnFMUOU+ZC}h)=%W~Xn7+2G
z_T4eb)!+iuZ4CC7A9q*cjTWDOn?03Crm#$Pvy2OC{3gfrvZYz7*}p!!C;HTdAd+1+
z(OPuzo`J#C@|5et2Y1hA#m1obi4ZLLtPr^hU_OY>7478x>Tdvd^g+5;;V-=g<sfCz
zB9s-(%+G!f<8=KMyn4%uN%RT*75#FA2Zx}rtS%-bdG#OjbXRTkFEC+G9xK_Z{jEDa
z`P*v{p^iR^RV4EOZvfaw!0n4NhCiQjnY072+#d`;0l?W$c$ZlJqnY>w|ItjHC$}%s
z(A<L`#2mi`9qUv>?1&?nQ$b{}0z?h1gqr{u@J->~f@=N^Bv^UW;MC=Ri^Sl{?c0t%
zeRT?cAK0HV$ISSD(kO%o2?)FfPgbe*2>Ms!ToYjRaOq3653eY?6Dx!)0xr$7D<ST9
zlY2Wwb;E7|!^yWMvWVPUmB(Ku2=^ou(~v(;NGI<BRIi_G>V5WEl&Fg7bs3usto5dU
z@&s~(4dD@7$~t|l5mTdo+?8-@aRZJA5Xu^TaNq_}?*_K69$mkd1Q6mbj8?;R9OqW&
zwcrB!LN^8|Ba?xiehZ|=Si;iab;O?quLy&YiB!nIQwLNYgHP)KJRHyeu2qFznf>%@
zS`GGR3jops;@75XV!-&|$n}s*%VkNV<TH#_tY+9X_3GUOA*1;_)N&v@NP}t_3n4mT
zY(GAI2T=m5AW@(dci}~x`ls`&;8_DkzyjFhAbe2qLu!N{Ox7^qOMegDA$9<dJCHh{
za^kE|l((|L1h2#x2R{lq6+lI8RWgVH`=_jX*gf-=|Iz}u-vBNbvZzA3y6!!xS)zj5
zuf6bZ&C#oKu|sx0C?2{X2m{Impiz@y2Z@S})%@ngV}C7zPIA!V`tp+16Mm-~f?t$W
z&kMbswk?--BWmT>dDvKzdn*qG&%-^O+TPvUiHmE>^QKUrjGOLb)0fLW1>dqtuUpV4
z=$lpRA9MD6>yClgZgYq|4_JT%L0-5lV0^aV>@W<v4)|Jbe|~--uzQFsM)a^4+5bP2
zYm>QI+1X^YwB1<568Cd<$3Fc!h7W^`;<?(pEt3@tw_Y68jzUWNA<$Hi6++7V5#$H$
zkdZ>~`6^C5ju|pRxNqJxqOX9EORJgs8lVdAK^@m-TG9nY5t4llQ|3K97cvr(OE5<3
zV2hD~NuLF>2#AjXT^sQF)Kb8wc~f$`!n0F{8*BA7KM5XB7cd}fJUohEwa)@)-onqH
zTtMu`LhaH6ItW=Aa}Wbzc0nb)x`ezdlmI%WKnuYxQxCBeUH=k=$=Q`&*R9v~8mY7_
zgHJ))DB<SccP6cYkQU9?bhI7n^>!iR7)Dq-;~gu930o0Z7Bk`1NEAAhvhqlDI^@_l
zdg<%GK|x64I9)_*)NfC4yONSxP1jbydGeHmG^(vl<|iD#ay!)pI!c2gBNM>g%6YeF
z`G>g`Qw;AZbqw=Q!ER>w2aw7SnCOT*a0@J8DZRju$Mf|HX+sAR_zwk9nz*}idw%Tq
z60U7^rI4c(@9<6_1Sp@K)5(E%9E87G0X@gapLxj2fiV|gdID+K?U3@192rSTA)btX
z=kN<!i-%U&Iu;nU$ts6$PJL={_u@(~#N~9u+;u|4b{F1?>(oa;l1vul3(KZP!j#j1
z<1G*K^E4c=b4KY`SO<ej3CW{_Km<tn?}aUFZBop!AvCDmc6__m=H}^EEAg$Mdq&6H
zE4#4qKZh!<-L&K$)W}&-I3woHzcmhRr53&BfH_1=zXZI}#X{MX0GvKCuwWZh9l-zz
zXza@R|I7QCo=O{}hKTPCM`XMgla+xu0Ny&+jd(aVh&{XTgf$}hI?TKHQcfE(8xB*`
zulK5cm>>QX%4^HpA>x+PiyrecD0xz|B5d@PwKBch+zJXa`?kWkx}Lui1%wvzrUZ`d
zf7Ad+e4vZ`?amE8eIRrp+2$_P&DxwTE`hL&_keJQ6L>s}8EruRxySlhODr5fu6GDW
z#4O-N9a+3r<7{f@St~=TKe1Nw0#;-%8q=ojD*C1^KHzKQ_6K=ele2#}>Kus#fF+Lq
zgEGG3w=Pm7SO&2ILLIe{FA$4%D1XAGB~ieHW*_>c%eAzUBI02Kst|af&R^H#&?W!d
zuMPIT68<+@!}NbcYeE>v#bF=l3A@9Uumvk~DTKE?dX<6BftB>SIQEAd&wjjqaiS^I
z1QFvUMY8;HwO`n!^09Sa24bGz6NLu^;$q@xvjVEFX<8j;3MBx9!}pDw<ZvSbih&Ea
zb1yE{vVJu!p|2RX4c$?!M5B4Bdet6vK7A)+{>c~XM(YWY)ziC%g-7x2S!Ltxg-(k1
zu^jonJN{`tR0zwT(&LTaNMZ07(uMyAVMHsKHB%Tu9DTOXzn;_yy|3A-n^e59zZXI)
zu%?mD6)1)6&3ka!?KJ_rH=Vy$bBHmvgssR;m+yj_FM%D-g0k7>`#mz7sj2Y(CN0T}
zcsL8*k5~piqzO)1o|ch))KoDJ%dMP!7>l-6`kBX>75iH<in*WnBULDgB+Jx$iVBsT
zi&mz#NB9P0tz-oGVy+QIw<52$b2KXC(ovPk)n4wCee8gh{Ai?fe*eYGZtneNbk0lc
zlJ~A`_iSI{zeEwEDtzxWCz#IvPV(xzxGV>nK&><c`L+gy!VBC9d{4J|iN%|dR}+d1
zIYeX`Dd(LC{fxurufDb|E9v|E5uKay-F)e8p=Lj2&3#W#ujg8Xi{ZvtQwo!EQa-yv
ztx829kwZ0^qxZ<ovXZ6vLjxL_ui^Yp4km@+18`p)2waB_A2UB>5<I%aqAM$AD<so@
zUP!#~0l(}`DmTIwEU9K|Y!<38(ifQ8p~a?_G_%HGntyybwXoXrqn?Z<;$6$y`8%{6
zw7K2)^tU$KOYPiLT{aA=R)5R}!kv#pnAPTU4}6_Fir2qxj3vD`wjGGj;>tqvAcJs3
z&LHGj#kpA&O&4X0>D;apwcGJ;PP6`p{4WX)^z4qphJu*&0|>t<%p|OqHJ^XEWHgh1
zA~0sIJ<)=E{6DVyeAwlpii)wiOF`k!%uE^tZ7XTD`&P}+OG@{)db6|(@eGM}m^U2w
zpLaGA=yDVnR)#AVezDW%%Hn?W?{+(8R3H9vytrA$PhqP&<}1L;)weqMkiJfzv0P8r
z{{5FGr|bBPrt?=tq%8yK5>hnfbGIoP<o?jmIib9}evvwahvLqV9$*ax*PFYFeoUZg
z>=Uv5Blg80zb}yip3T(J(T_{fqr==oSew#foW%ppH}XVnfE8N!V5bfIwFUx`YVmyH
z+78CalsWGuI6!)*5a%S3#yWd)R5`wz%1uRKV<IuMn3ZcvMoa07LQU#H#loY0i>raU
z%^lwQ76mjXQ54pUI5eru6_PLcaP+Tw6YB!oV%J^&G&Ou6CH)EzC&juy*@g%*h@anj
z&(K*s-h3lJUm;AuY9K_FE6V`k;c~6nEGr19T0NcCX8AEnF3IVBkH53JbHcuuq_yDO
z{ZS>IvYoBek5X*OYH1yz4Jlus6lxO3%%9WTi>+@Pyn~(RD=0so-9?8PsS?#pPbZ1v
zPJ4%QD5XAra$~zQmVM9Uu584kNY(fb?To*|F@lByn+=kI_uuU^gE)udjJPV0sF7ZI
zROb}3U@0a1?NUk=jobjfFwa7CRsoTV`m+Q%5?d+)Nz0dS?0NXCvkV>_Ia)n-UcN&Z
zr9)l8J$Bs0I$G}czX;o<30)yjr0HMS!U+vnm-~S`^^e`_P6VQ5<?I93+Sq$VMSeIM
z+SuM~32gZ`8`3$N@QARUYgF|r3r$3=-eKzwzEk=Fi%w64EQeyO@0Pqt_F}kg+Ura4
z<$O~-()_;bxbB$F1QB=pw~UVwhE0A+>?&<ce`tT1e}5cZum;ex?ZXHwx7Nnm>qcmQ
zslB`~dbDl~e|C~rM))*h=iS@Gi>=2vmE9P7-=>x0zc#;oFYx;b#Fwk{@xDlQQ`&g!
z*z+#`CDB4^yz*bn7~Wmhq69hgy&1O=9%%&^c521su<p-2HyG3r?#%z}NiJJc&wEq-
zE*<e9b?Ys-T=dObFT#+mDkLDS{eCAtrol6(cMQANpNO~jnjVx1@|KyC-)d;;&Z&Q=
zrVy8a2wr&fo;AM7*%J<|WH#P*e^hNE=3m@G^Hujh6gco&vE1TkGg$puDZSuO{?NyI
ze)I<-LIpyh<icroc3C-NGZ9=tflGpYy#3x+_+)D*Y(04cZ#)T1q|LCDWup&NN2gGv
zgmu#}`#iwm(|_qN(rOW!k%S+f`wbz&6yk3EdwZqQdg3;$RG)iBzkktUaa_6nEM;ca
zfZMXp+gL1~!aB8fuOcI_ZM1hYUa&1#fTi;zf!3~3oPw4P=u;N^Zdy(%CzNTfEVLiv
zbW}`mm`NXWSdOjEye=YeG32w0=Imx;%PqR@Sylp623q%QEzANwLR3VX_D-R47e*=>
z!9)F*49#zV(Js$fV|>VQk}&x6=WkA@n(9(B?OtO-CX7xy0bA|Fakbm8GGcq(OyjU=
zTCar$%usn>jCD4!{YSi4ZNCZQf`!IVNTpJI&hTjp@0qe8sgyAfgaRR12tlWRvF3LD
zbkS4X)+Wa*GX3jjFED}(uaKJRnp|QR?CY!jw4HV@%96_D!gKQGdc&ul1?p(qOr2ho
z*}ZFXJaZ8N>+)WGqHK1H_oDSuV+3XSDAH=3YX%eRWonvP)x^6MA2&tucnTvNsl?ug
zSoM{TGxDy|RO6dk=q<$}Wj?d$rBk0}UaH!@A7(Don-^r1Rxd8dBx0^Q2!$mwTC3Y%
zwaqe+1KhYwKZ&pnQ)K&zQ=Hvgc$>iQKNY_oex9zPzRx7)Yx2(5nTnwMvqv&Z9H~c(
zeCB_|9yJr&9(Jx4zy`(Lf$B&zJf`^eRHS7IWA#!<c*Jk!zQbfLe$b3tlwIv?mXwk%
zyHXzq+r<)jfx589l=Zm^y+pHgUy6E$_}gKdhNg)>MI5uH7A!M5N4gU~b|>dw`P>|j
z7THpF4uSo}`UWz5gonH097B`o#C?lEMlzRtWy9K3f+{hnctn{-Q1T;v_2IoZv|eB#
z*+cu*NgC5Gx-x4nQ{m+1+gPrcIzIL!jpfa?vwX#iuqPFKNw=5MvKEFFTjw3}v^qkR
zqizKi<C-X`S0`!nSro>@SjSlx2y_6ojQjK0JWXYix4aF6eeFZ9{R)a?1$mo02=hc|
z#ct4QXlacvx&kdda`ps10o$ADyCw2N->8f*a_Z8|6FpXxH|E!%fH5cyO13#4<gRf3
z59N)>HoFYByvRon`FTqNi#DC{9uIcpwg&urH(+cX%Z0k72t-BKlR;s|Q&eiE{te^h
zxD<mg$D_a`{+>MBEOclh#d8#08cpjJX1Cb+<o49}0-p;p@8n&5@-4LzO2v>f&bTAg
zkRzNmfuXtb{e4ER!C;-t1O>yz_DQLH-@yWr)Kp3nl{lS41uZQ&zjO{JoKm{QA2}2S
z(qkw42>OX<cWo7;f^JWhor5`RuBqLpCEKT96(N2Z|FRVR5WblIX4U(rzXM}hH9#w)
zifCmNgH+;;v1|mx6weEL^K5JvRrauBoOEnPN5lodL8r1K(ffw@1uZo~giQTqTzC?y
zW4MXNN_8eFx-qvzVAL1{Kj-66?Mt)aONa>d@je^I(0l_n{|^(km0x8W9}}uq36i-{
ze;=mpD|s77{}zo;6}t2gr0sT#t75U}+$qI}vQV8gC7D>>u?;!Wdnx~^yVS-qar}Pj
z66i(3p`vIQ@ox&+RC`vs)A^B;frkKy5&-!J$4xjtRJ-ju(EAvaY#x@5)KE_y$5eao
zkR=B^`w*xj52`T<D4?4m(^9AB%@v=BIMQge6qtCHL8Qw4+*By*i!!n&EnOx1yE!^W
zv5s>yQaMTmq!0I>$HVemgI!ON%**4OG&V+_%*<a45-DK1lmQD&VF*MsYx5e~_DfX$
zp8eda98zYMs|2FN470n+_YGUN7CR52gB1Lky0CtUnHKDR9fEQa4M7+Yp~Ye_u+Tx%
ztbs|&Pp+5aWe0DnDV65CdDdJj2=Y4PcWW*pQ;Bb>)i}nA@()&jerjxQgIVZRxTIJL
zOCz!jj!ki5;uG3r<}J#KTW4gi4x-EMS?aqW+H|p%<mF`$c|Ma}w*lGE>QeiLuc}Pq
z#TZ`23N26>{?|I>C=b)-iZrIcQn1!=8T0<GNpUwwT?WT&v9Vk|+=@AF=*h8U3bnz`
z1Dit>Y;#-*aTFb=LB(H8O>VDp*HmQgi}HN*^g5BaE$7zRTqoFV>uwr1W%%i@)|r^+
zhG3SuLXE&N35X^6%-THsC8FZmsY;4}Bxw!*KE{vHimE%3=rO=01EAhC`SK^zG0GTT
z4eN0?cw@s6hX3ZISs%Sp&;1V*yE^FQ<wYxCi~`kX5&1jEKEM;*c1LuOLoYOT$Q|;M
zY*aatbaeZoOY_DhU{^{yV0}p5pn?%mT31(#O_U!F7HB~qv~FlLK?Cn2>9O|>4qo2@
zI@%kxZ`joa&QbwD#kF2r5ju$Lm(D1KP)&%Q$0NRZV4QI*2@SLW#x49ZcJp{gqrSc#
z!rAAP=`+;P5>|@v2(r9rY_DF?#>KSbdyrH9V4gKFnaTclCXc`c8mI1$m1A1NHKltG
zDUX2yvxI<<feVY-6?T*HM0E5`L|bsUJ%nat4z8}9)6;LEb5tDIT^1JeP9%&Wim@JA
z8<|^Z^=<ICYP<&t@sX=iNd8XOJa!;4No{aOhfBNbh&$4=2nj&?`}?i9>u{b9KTxqC
z+m%Emir69coa(wdvoM4|1G56+*#d#FPd)1%Lg50G17Iy4NT3nc8HB${H=M0Aj^RNx
zXN-YPyASXl`kPcxU44#+m7_QL)97lbeAGPi5sPJoXEMbTZriU5eq?^ie49^fLwLze
z-sm2%yH~JA_orEc>QYmVP-_GT8d6ed8&&AB1|N6r@es<aC%*IOzX{!w<FCN>0KN+-
zUp#YFnSKGnHvu1gUGqDfJ`rGC!xmK70!TK{@gckik~5nGA(fDxvbO~O1&rp&NjlPb
zK&&AAhid%%o40TK0hu~)M;u#iXtlf`H|V7Y>d>m%Mr^uP{FlBy#C}BnbUr@4JGxIR
z++XwG@(m9Q`vw8N+|R-Q^Rxu(+TJpp@)6%DsL8`S89n+MApk7<e(x`^%^;ah5M|*a
z76F`^TAp^mRIoBAWXsuLrun?TUp9qbWaf4YRKJ?v8_DnVXTYM5XHqOkc+Kd2$NMgp
zINCc}QU4Dnv^_q5SoI*Kh?4sq0Cq?a6$-(;!CCU@y*xR1evnRtB%~;Im6R?9*QwhG
zSvyhA1sxD^w`-sM`SWKRgb8mU!PdjI4H8=tbS)vh2eEu0HxrcnxO3p?1mdENakgSG
zbQtsv5DwM`3)%n4mzF@@??qwjHi++1g_dP*>ov>8`URe+$NS~hBO$krf2vNo|0;lI
z>x0-IATZU(w2J4aLF}{jUPVx&Wa=pH{}|a$E#m(mkbm2aFb9XGOVQXcfM?YI2-^iB
zsg>T|sQAL#09(YfA49&tspPcn0(SWrSghb*-yVQH3#9hh;6Vf$Apq|EjdGxAwjaan
zQ!sS?wXY=MeyfSP^%0b#pFtp~Yq5R{AYH~f6_My(4`$wA`S?R^9<xXL!l#9OVktji
z2+^29-%=KEF98~fSb~vz2o#$ebnXla30VLr1=Kx(@Jmuk%61S%AiWwvhL1Evfd-<%
z;E;h1H1fcNf}&{=%z>;dEdJnZc?~VtfX4m^kX|d8JaV-1r~uKMhd=n1Y~P462U)p@
z_X55_sq2OjFi@R<(Ybw#x*KxE305F*Iv{K~`NfOprS9LqpFxGTNy7qu?&;>-Z4~(5
z+8|A~A7mGb@Tfuh&%whJ`u;sDkddl++672tG2}PDf7tW_AfYh8@IQn7VZCnS=HABa
zAj}8k8^dM7FN7d|8TyU}hlTMv*1>m)cjF5Y-v>)%ZSKA}_%*JH1io((!1C>Q&E}WT
z-CH0LGIdXY=3-}dmzQY8@1F7(rb&(VHP({gU&RAN4tKjFM4TH)AeidZ`tga0T_Bbz
z(Jug^dK+-cVi>XNy|s}13)JI0zxN>l5=aGe#{yW=fQ}XJtQ1wmYq)}biEZZO^hoUK
zz?d#olL2=Flb$KR6SH8SMBx18^txm^4>$~HoIAI0)w_s8Dbc5?sj0!k*wOK-NOCxQ
zG&wvfV4jfHBp}g&4<Cj&c)+jqkUo{b(U}gV-*)rxC<8ke#Lps&2&_xT$Iv4WALK)F
zGN4Ui2D{HCxJNJvCVRU?VPJsA1VSVj5Lpo{rEKwfvEZKrwD!U3@1tWN3=w@3Xd_^)
z28j`s{xSrGvtGLv3tZq(jv5O*VLU0Q9%$e*6yteIijtwr6%d(-nIZQ>s%d)&C1SH_
zf1)#7!})V+mh-_hyE9a(H6<mKZnrOyNMZBiiMV1d$c$+lGG2F;98S+)?xOtF0tRU4
z^F|1o0>q_oAuSK^(S`5Y)g?wU(1ubFpySKTqa(SQ2=Naq>DI6!|NQcDCot10_wT=M
zE#b`KepQLM;4t6>;Z(vkJj!lc;=bu1?I**|O7p;?6R?i>PW}XbyY(>Y*4YRb_Pt<=
z=Z@MrhmEEG%AR?Uc@*Cw2G0XD1_cWbu*^L$0esp`Gr-BW$6o+~3keWI0DvC^I~wFk
zBmHSm;0wG2_X?7oB?I<8LoD+;#5Y0Werqh32F<M(5<u-*fHMXBk<E=pfd3z#f^rJ1
zK?%Cw!{1!9QqK@9k?o$H1wlm*tVIuhRKSdwp0WEfI2Z}6@5IA8kbre}b#Xe>MGwfz
zFQ3Ti@zM7x5egmueqc&O7=wAGB+K>*j^)KWSz(6!#Ec%NC5cb=zdAhg(kZ}0bYciG
z3)x!0q>wN&s=(CCodgam64)t9eJX^TRa*Vuxmk+>!@78o>rm>u*fpprTu1OlF6Z#J
z`%awh6@(v)*Sn67h&NADNIQ2<zLUKssZ#$wIdw3^>`B+4Pc}VGd#j=9`f^wz_XK3-
z0<F-}%2LGf6Y`g<*D5EG3073UeI7QWimDI*|A!k5U%2)ldGm{lW~bZ#gX8qForX6+
zbXSP+7BUYB86^^7K}CWTK>?+#tDD#`<u}dnyOTIx)6(McSn*{D{O2y`J(aj^v_A;3
z`I8)W6F|rTH+y#b+QIRoD6ubUX311WG#3B*(qhDvst##pm`Nhd3hm{D%vuUMY_U`t
z>&gU0k~m`^8fq-`z~*}U#WoEi;{f!amiP3OfRZE|n7Q^RG5>9-Qwp|N=2$?8c)?&G
zZ~5R_uaw(@w+Pg6;_fsGxe9Yvr$0jh%?q0Re$1_oO?BH4v0Wn$p+9fD<TG}t+%Q{N
zw0Uwrb#GS-nV}IbpdJ`m)apz_GB}=vz<LU@HYHf9fg}<}!MvLXHg}Kz3lx43j+P9~
zq|O+Ug!P+Vf1Uz!0LJ}CX>p?eH_oznHv1hbTim(1`FWGH1KjOsq(>3h?<__@+JX4y
zp!3;<Z~d5cut`F2Ecm}q--=u*igE;z3OK#OhK7d7&UQnW_1-(uekJ{cqREc}lOGMH
zaiB7Y196(!q`GXpoN4umjiEsklrV@=QF<#y(jy)+K*9NT0JRcQj)EHyF(d_4-U8VN
zLPLJ|PzGJKK|unQ(}VLBrHmi|0xE{W9kSYfgPgGJ@h4`Pmk?tcf^c{4H_sHK=&(eJ
z!`Vdh?g*85?k%CC7@qepo`uu{74tRGe4M0Cd)?7RsU1XAHgrr({O~agL7?MO1fd=z
z)k#AYz)BS=3tbPmp$isRj#=QY#zK)%1GY(vuGg2r{dRgfS+`%!-E%}dm$rd{ElkRG
zwcg^5m6c|)oso6i$hS;OedG7gIl|8Qiqpso7rpWceI6&legYCbYop<zX#d*b?0B}^
ziU;b?xmuJoZp$t?CT?sH$4Q)btG<vh_;>e4Q3`lL25FgW8<(&D4ueX^8d@fx(JDz-
zWift$g>7SK9U>IVp=z3dCaBI%PM@J^S$}V@M%{EFlrO{3eEKn1UCV)TsfCWtT3Qfy
zT7)?Sr^iee2&Q}nk0Glv7kvW^?RI0u8I5rAK%;NKL~4Nh95PYkSp%=U0je~zK}Gmv
z%%S}J{7h%K&*<9PT5G7XzCcf_&M?|{(0Cl-t?j0&OK@>;zyWMm0W}3Ii;?K*C;ZM$
z!vnHb%QvrFSqrh%`Q0Zp_)YHa-A=L3ulT%F@`d%*w38=T2KSGDYK=MbOoL}}50;v*
zxxY0YdJ{uV+=yk_b@LO*iTpA$q6L~fSuL&Iy*=%e)BATY9>bpH3{&#LX$OREi`imH
zfksT9==}L%h`;<a@0MVXC-wRB=Uq4lX@|CFLM1)X=;gt1)6?yfhf4=+-_GCw9guv9
zWMk(H=Y|ODCFt3?OL+RbToWIVjpA}o5Y}_mwR>Y<@snphcg4gdyEm>Ps6i9%1|zg}
z4cUe4+^3w0P_w)bG|54)z|rf=>}=E69#nPD;M(3qMa>t_2oO$}J&FVgSzZpqqqr~G
zXlrN!OhrKvo7+%o?^<*CUs?c&vL1$IS3MFMEtWrl;s<mafbU4UZKkJ+Ieg4L)+~C#
zry#y>p%%})r_LgpTP3X5DU<!<LsYl^_v3y|<i8$C3Jd~9u?uw=*B?|4FT}NINzRZf
z%4l9Bm8_6vk&uj9F*TlEWU`8^!c~YLFIm9+mY1lx7M1jhgCfYGyY+saGDinqPp9Rh
zJVLhVGU#d}{%Q%%N6g~lbV&bV2$cYr@viB9omkn*lFa+5$N|n=Wz^>OHn&c)#r)Ee
zbGx}n0{73GAEWo`CTcj>r*uBFAAb|`!9h{Ay|-?telfq{`y8Y|bFj3#5HfRPAnj^v
zL*g<V2XJUG)72VzZW8Kc5cLgUqXbV(BMD+h+ncYDtm1A)jbt;8yeC~;LFz<k#ESv6
zekUAM`XbEGpp%HzANxuvc%q&i9KC{d!bqa#rOtn|o0S=z6X5G8X6=8|m}YF@XK)ot
zw}0T7nnAHSCO$)hk;enxAZNi%JDHHiIGv#7c<kQXJdyjo(5S`)o}XoB4sxbL<iTZT
zug@KLNXhJ;Ln3lg%5$1lsoDil@AA2Bd|H)A@DSHM`D`h^u6aqF!i16P{oU-x&y>Qp
zXWbzb2QB1gaz{oJ*Wq@l5#=dfyG@h`gRM(yZ+lx%6bWZ2-Pk9293Cw}{zXPl(x`mN
zz5zMdm^EpUq@6f5>DTq=A#rUcwD{+m<ucd611vV4%TlSux<f>MWz1ui6+aiclqWu}
z+QMsOD9>8;_O!Iqd0&wTOvcfrE4l5#x|8s*Z$L9e_SizyXXYyf19m%o1<SPcXC0Nd
zAL)4Rur=Md>Io|BgQbLv&)sw0jF0#^4G+man0fA{S&B<TMIS=^`ZVcn-VMY$4%M}g
zIIb4fiN{^d-L_Sfj7&w`NOnKv7`xPyLf;u-FS4v3&J$fv+bJlOaGsKcJX*vmInS(5
z*%=xVvcjx>>wK(x>%#fRm($Nnq4sUki3)uU4)~{%QR|~9`1jg}Sk)ew>#6tm*`@sD
zmiL=pVz!cDS_E9T&;A2Ahsd-*n2P0c`ifbJZe!Xl?-z%u4`gI?kbJcqOy*G=n~FIn
zlm{IxehNA7bIV7yZ@MTN)F}C}@NtSMn`alWmK0;m)UJ@EqK)`!4)Fahpdv6IXG)3J
zxJh0vzGH$S;WW6!He2}~)49LXnE<c5WJMl=Kb>(PRxtDY`BPncCx;d)&gey~t;bs7
zw%V0JL=(z{_2<(gF`3Q@2;RKE_vUS=b>;l8k<Zh9M3_@fCL`?*<E2I#o^(u{hCJ6H
z>1+fmWelRw{mAgTyeVlgTVCVSotU^VK4RNRC_j+e(wTb^I){szm1X_qR{|EL@$sDR
z`eeKxB&I$Q``MvZQSa$-Y;RI@Ymr0-1+8Ep-DI?)yUd9+TFBHSXsKCCV1R@sYC8A#
z-F?ZOja4m2Q8X#JsgT+9?akY8>ult~tcN&LwWO6xkjtKrZ*9($Cbl)Z#loCfiZsR2
z3}&{yq3lCVfv=1oOWZf0p&gm^co8>b3zdrTR2`c?MI!hhE<^pXiwOGpNv+ZJp#CO?
z4=T3cwJ^mPf3q^m5yRGhVV25RW6x^U+#B9?7zxEhn`<Wzklz-gz;N&_ZC{mG5_Ei9
z>FCr-h<b-w)oyV*hw-t<dzeyM`!SZPYCg6A%BNS$l_ZDrCQN;!d8S{xd{k2(q;8R7
zV?4&Xbk}F?ye(NvcJ;}a-h*`^4(7}iB<wIJIw1c(^<cIxuB;EnK@$U~c>jPV@?twG
z>Z3b8zUMvJLzWl)zs*`MXTD*(p*$TnTWo+soc>-~JN-Vsk0*vv7(pyG-z=+XOl1{C
zW*X*k`VYKxS|1h?Pwr;+P@Kwu{oWRCFCmzgi%5PI8uKzw`E7F5e9AdubT$9wdyS&v
z8nR(3pFCu?@=;hBW9(ECOw^Z>`v+u&?{=Mcwwl1+;3WCJ`IzChFX!IR!=ejyM!Ne_
zo<8|?)*i|Zuekr58&dW4z;Kf)dFZQ*X={ByNZFn!HXrTz5I*wv*==P0^s78-nurc(
z(;3743Sn%k<s)=XkolSkX<xN~dS(B8iQg{8N1dw%nnDH#RMPdFjGq-#ebPfxai~_E
zgf<1SUC+HPXfCguED>OrBjlKTGS)`kfc@ju?;>#wPM>L%2v>3U(@t#_GFchT{j)DA
z{pr`vgtVyV`E(MgjRUFcu>JLrMCI>?7~`V6F+^yojvh*T%L|E9C-Jk(U7?jM#t(Ul
zA~E(bNZ+YF`293_W*L(ZTY$7#g~m<drmjoet{AEO1onFMa&+b%A8CreDILWmVT<;t
z%~o2#^!xPanTs$(NRTW*wC*=|y8<d(oK2g?^o=?U$BtE{IJS@3$JlP?nwfCMH1U-R
z`u9;9Y-({q6n*5z`RDyYlPUV%WEy6;5lFdG){j+U7=>(6dpswmwbPiDZf~FlM;q?Y
z#T3?%pd1w>S5A|NS#;%!evs<rgW+~M;;$8-F584$_;~oJZ>BJ0go?l@nBa9$-+(N;
zdR!0@P1+EXeY~!i(O3uOkp|^y1;s*%EY`PIJz_@|F*4J{%>>OwB(^o1zKYwE7}099
zosfjKa<(kJ(Y5<?Hzn;g`{6e(3H{~NfL!h<5kj?=Ybe)q#oefrBofZ#z6d$t2hT!W
z_^xdh>JG_Lo>DXUjP=k9Ua^eM`HQM{g1pDfiD1Y$Qxh(IGGrw1nz<RTpvtVgEN0@1
z2x+%FKeoowQA1=MrQ5p#@p$cTzcMweWIyCSn0JsMZa>A){qUS7NkCUcr@Lf8wf1XF
zj11gnm9yKdXC5+B6jFhT@4&lM$~XItIxgRp&My}gh!R5?s}%ZHC1Ce*#k^A^qO|(_
zmqPd4oLdGCG5cNuQ{JD%v%#TrkcYD$l1a^%#JaL@TwZXiv#|D02ILFcAxZgN*s#-i
z&P#h4d8SKPxul}0c1vb#tD%1;3kFT*z4AI^6=w=g&A(v=9}1?XU@>`sO+!n~DL?Z3
zNRcDBR98TXvH+DrH5ZyGpXoLzN*ZN_?1@RNS7n*B+pntCQ&6)CS}x~afYNN~4PGAR
zB5Dfd+i!ZQa)f%UOO3Bq(+%xj{oTYDvsHFW)8KX6o4BP?`OH69kI&BuU_ZbadnuhC
zNf578whcE#6uBWv=E|Sc?z0BXB~_!I!&)`M1_K+fZgCKmN@9%ixr2%i@&y_FP*%Rk
zTg*91wZ5ElOnYKN@|qcVBJ6(@E64SMgI2haj70XbiDwc%x|9-8B$u3EDV=7Hu86^x
z!z#wye0fQpl7Jj@bEDR?N#HvF$7~jyARXh|lWU3hW8~J}Cb6PRe6Kk9u?>DnhusGs
z*?lfvV%FmbolD!Tc#Y%pnsTBzm_r&BMw-sy)4&`wIM`Viir0O)>~~a6e)mPp77x^n
zO&NolaPI4dFF$ry%t&|CQkZfB(j|S$Fg-iuGlPP-@y_0rnOQH5ti>kNZMg66sWqle
zhzljwCvKXE-}_8YNLs}AaPKXcsjd_SQ4o=}UsU4_BZxj{x$Gd<hHJ+a@WXkWRju>V
zJxb#k&dMw2W9|C~<YhFI&z7p&x?MN^{Bn1`wd{8rjgLoyKSzPx`vs?nV<+aAy_1Dp
zS7YZkr#9xnUC;ER=~W2}Qu254cO>UO;QrwrqHaz@UF$gPR6TxhMK@{ap-5tKbWqNB
zBmz;h^-G1c$knT*6+!iC^MQpm16T}4_5%9H^SFxo3khPiugI6bTxBjb1+_R2&xDFh
zslIG+*XnE(B!=t=5H99!uNP5?5_sC%@Qu1Q3_PA`3@|_TR2rT+vA3{%|EAxxq)#8D
z?aP+Sm(X?w{THNUWFpA?%(Z1oG5yB1lNI1<dsmexFEcC4ew%+_-#`hT6G~e<{-@^r
zL)mJ#%4_n}x7Bu$V{ACkC-x2}hh3D>B&=K7$?kc^+UBL};RMmUaU>;ugsqQRn2As4
ziM?}-6=yLy8gWqeQ_eac6oTX`nt|3Zq3KXS!FcQmLMA=Yvy#`4sHvTtSxH@rA|WI5
zgL3>0gTK-?upCqf!w~lsCRktjMESe(Gm)iM#6lZ93__M+datte!;S-Uj(9EcE-_~=
zuwi%e;%B4WScbD>`UdW3e!g~9fYHyM$aoiy143oLNl4Xp&*}jGcDybd6g&5(wM@uY
zw7hK)dLqTR+ewX(^7f*q4y#n0lNTg&pQW~1S06|nCUDAyEa>GaFK<e}{ozW0wN#85
ziAiIw+#+`NrXyz$kDv{w+k=?~!&vDh(Qh-;*wYu}h9pdv($I4_s3N`5UvDj!A@dX6
z9txML&&($k{{Z`rtiaWG;xpm$S}Fr~pSApqaU*SBE;g2TLu)^~XbXjP3$h-JFo$A(
zV^PD#aJ$4po%g&%W%oAh9t>8W<+YP><IDSd?sM^SHshlj`JN{lg>S)0@6DEmCwvGy
z-@Ti`<yOV#Z#s5&;(hvc&3yjSbsLw$o>FM427UZc&|Ku2xIzVVGowX%FF}iS$PPn#
z1h`J`{{8(FIgA1Zo&R|J^Jj7ZeOunT-gx1^2dFyIeGj}_zQ`*M59fXH7^MJ252<_(
zO~Ic64w$(FN^_(K_mA<i4|g6UF#T4CjxBJ8LJxWHb$2PRtZDnaYWM3TO#i?s<J+k?
z`Dp9Xb&8}+4Xv$sXaB<R4gN_qtHJdW`_aZmNq}!b-G32WYR)T?wZMWwc)!kcd=Pga
z(oU}8zCpTe3Fn{NTb<IPwxtv0HRDO#y?`u+0Em>#@a`j6<@`Wg`vDTavJy7i$W_w;
zorJD|cfn1AH062z`#YswOk!e?ed8f61ZF;Uc5Vk`=p_K^%r|b-K2C;YGo-DvZlmXQ
z<nMt-B7`W#+mLydt$OO^;|Rzp_*7oy<?+a1BgRss^*MywHwzHHGRw}&numsQI`x_r
zevi68JyhSln5WDXUi{O&3X|T~xbWhS%jZd(*OllTj!W>HafL~!OQq?wt((uA&K7!s
zS5$-wq@hkLUI;J={I~0$dWe@I9Z~%BtHOUI+oM3_n9u!PrLefF1K5aaL1g?3_=+#I
z05pz3IvkwX0ZbHzaI&#A(3@umnuv{j&jKH6d2#V($S$<qaz`48?w3ujy@`ukdWLuq
z8bHAP!Rhee;4x%2wbp|1)dnQfA@SnRexw82<T7Rn-**B)amnY~@6l)on=*t;%mei9
z!sHcbD~9m{X0N8!2(&MNa4EZ2c8y2diWR!Ne?Vm|PVWRSR%wcimH?Qf272iTChSMP
zrd%O2`TXK5g_kI^-k`pnwXU6Y)r2O45!V|glg}jsJ2g?i%Ha^Er=8rWK7M?t4j#D-
zc&$nr*52CeNPOek$_g4RawfTxfKSM2X`OB-H2nYxzT)(rI{e*5N=i!oIIq~8!UgCE
ztahbRKzFYOwU5!o!`rrppFHyf%0A<&Nm5$cV7O=L0COT)d4O=BP+VMGKc;Ggz@YgO
zel-VJKPC$3*Gt^oJsCvM^$zUScqktLM>By~hKMvauv2USDoz<*38)R0=!_c+@>-Z&
zCIEM!2E2~}ts#ej#*P34Yir>^3=_lc<*w+5^hqqRT(khj8I_obk3zU{aQe+=dM5DY
zaU-qr0QSF;@(M;4wC-&D;xq#84FDIZUJ*0NL6R5rgp3$9@*skim=`7k0s}LFI|f#Z
zr=$S<%XE;1hc^S<o_eI7nxLR{@V&1dEYZSW%eW$L7h{B&Fh9nZLRD+NKW_K`_8LDM
zGtqWBy@8wU8Jo%M%_6>?HK3=!w)+uUwLw^zl$@MgR)w-m)}kab|E4}lU8he)pYT1u
zM|MegINN^_(;{@dh8tnuNJybyJ+q`F1N2B~hIs%R6`@kH2+`*cs&~QO3ixgqYzJmQ
zAmI}cwF68p2q|ii@n-@sr5Knra0zLAAeat(+9dGM6K^<kBduit?@b3I<B!QIe()oQ
z15}z0X`hM0HdNpU53!pZm{oZWreiQ9<3Ro-(l8VE0(}rPeOUn87jH>F(iLfRlp3s!
z(5x5*y;creOb?IC78Mg@u~j8^DWLO61UP4RevJ|XWXQkXboydvWl7f`&{sm}>w<>@
zZwCr7gCeX4L?fSrcX|rU|5_FGsa^*V^5Ny><?4eC;L-y=Wu<r>o?HijRt#UkWO@$#
zygGmLo~8Fsdg#SCYX{D$Vd&>%lAKQ<Ain9s<NOGV53}A_`D?cdLobS=iySLgJK0iN
zt!CB>H$C8axWyW|#l$PGx+go(ntR|f#I+)hKt^w9KF7v}7=>WGI_3T)Ra=@v20O#+
zAN=FtggdW{V=(DhG<HnNgpgE&&&b$AvS7gu1DOE=gjm4i$-)zP@pnxWQca2B>)dsB
zzX1p<cHMLYVgN=VI|O*#@u4VyuDsIFy9wA<d@ZmIBJC=R-FK~XxRIt!;9Qu8CkX+c
z3TkxJ{VCVUf%KIFoOTEXEMVOU6P6BOw-JEI0<r`%Q&Xgw)FM2XHh8qi=8sGk2*1=Z
zhwdf*X=zO0XoVK28rLwLL0o`j7BH*Z2Eup0K1HsZ0#tW%d%MG>9a9H~pTD*VydT}$
zQytIL&G1{oq$l?!@WEVm3FIy&_lp~7<n@z5ar?1Yj1T@C?e1ISJkd-D@v7U~UxTj)
z)=L6d^sl`Uu?vCLh93t9H_-p<CJJ)sZo~OqH-<eCZ_X=Exw8XLp?kI{uSLJoHki)7
zzU1*Z_$h&VdDU);wDE#29t5H7en4t9{K)(Q{b>-Y9=U(8r<j6G7THQr#$dha0;0&S
zYWn-r6kv)LvXh@6l(RpqKqg?^MY10MlfX=2=Q`~?N_kuZurq`^^H=njLKC4o(3kc}
z<DsR*>CtaD;6WW0+RhyvZ+LeC#w-Bz2~1f`G4G7iHuCn!lM4G;Mp$2NgR@jZqR{it
zFnE26XpU>A;M#m(iI_B*hRiW~_AxHeRw;vGTfAaPb~z5ldOS&tmm$XQ&r8Uf+?8i3
z#l&iUb0C%UaCK0TBq_5_Ym18a;DN=UHa#q|=c8II#{Z4Yg$P&BdBoN*Fmp2@FwV$j
zo;z6rm+y6;;DGz_UUDP$2sDmJ`URXkC+C5e&l7O-J%-Q)m-VUO<y4Oguv)f)g?MxR
z6%&&FDmxiYBZ!IEpurgZ5-7q<)wG+afrmMwFdl${f{<Ta2vXPtPq+yfpv0gx>3YMy
zktej|1LGh*ydV(hq6L^5vTH_vw7Nt0FUEhh)PsIsk2ZIA+hLOn{VEJ^1!gy1!d7UK
zmaVadnC@Y$BW~)#gK?x4AZ+frUpl>^Q?1F*;jAA(tR>Cf(K|yqSs#%5nM<=^UBRXy
zG-mTLKm|N?6j{g%{uL>E-Zr1BjIzvrG`w*d1RtOj>NJ^#$IYE($6R{@IZHX;hsxU!
zm51paT5KY_bHmQuCA+j3&P$RWBB(it{q0y8$=m8;iJV(b^Ol1cj-gx)4pcK_I~RMO
zo@9oC1<(WhWmv#ae*_y=DBlpQQjrjXi?pIchkzD_Sxk%u+Nj+``kqT{He(_35!iu9
z=;=L2ir9<_lu^*&o97KH9tzn;EPCT9>!zSdw}Ho61uVMOYQ9L{7Z7Y^LO!rcqz_aF
z#>4OBkq)yn(1HtY2nGsz27+Y54-t`Ec=r?<zaSQLu&Hm2KT4Z#{JZWS8A%MbS>SYF
zB`g8U6ps=0WKqubmS}3GOTQMdEZhoxsm??2JkEViOmP&J{(ub?X$5sNck^y)>VZcV
zb|GqSZDO>F7=jYo5jXE9EVL#gXs!ENp4;6VV>M16G&TZ&=Lk|Tfz2yl<hbAZ^IBAL
zc>pbK4|E-(ds2NH8YNZ0@?>42`wZ%yH)&}_!0b%ax!Uh;ZG8fHgB7r=K;7gO6%|=p
zTB6Y_Kxb3<ya0X7g*86CQW<F3mk*{NHR#JrL`*yit(_|-*Cs%!WjB=W>jHt5NRb5M
z4Jd!0Xyit{y6gTjAb?U*?%jJ4EiLE>l>;%iUtmvB)zX4c<?N~{M@2R91b%Oryc5uS
z*xA)}6jniNc*Nzd8#A(zL~2(~1X&Y=2=6@Vf0G5u4s~j3YPf>j+L{_G=n0!D?ppX*
z9NghJ_jgtxv?hX9=zB=h2jFYOY+Zl;0)0V!&+PXN1@|@;s}8_N0j_wY{FOgnL^#E(
zO~rv(<JyGv=Z`%p1=SLfV<xkOhF+7<5OXXIoO{TN^MN7+)m{Zi0d9aP`=;qDgh#rn
zYv&#_lKm6*B^kRRarEB<iz}x5aY;$Ju)fro9wUh$sW#7{O3z%j9!L_p3o^V=JAMw1
zyRNHa8L%T?_(jw@1bpKUm<2sYo&(Vnnv$ns{m{nv!({2?+8+>`{D1`2Y&bt$(TG@>
z_yb2kVT4^<wtkZ#A-kHD&-9B(jp<ka(s~fuwBjdjo^lg`>IjcLn)g*HRY`*BEML=`
zFIAwOLxYDsd}3|y>P9bfe9n<r2_QEN)J&XEIInT}jRg9t7Kjjq630gN4=jbj0!>-h
z2*->Iz0lN5295{dRrH6bmim)FzuMPb9jLzc2H&e;3RhE4M$IiPX=PU$7#IwdnB9E_
zf-VC+KKow~e^KyMTv+x9byy=!6vTP+D`)kbO@e3r1!IFHRvxCkwe384ugT6%JkUc}
zc3wieBK@V*BuSV!IaE?*yfMC_?uC@+=2CBJA!K(VghIfaiM;KPo5b+SI{g4+y9}Q>
z;~-R6k4aEGvTUp>IEdZ>y4mKW>e6x_-Y2Tco)gD0Wr-fy*s(ftw#fOG{I=jK)HnaQ
zp7e`+d{Wu~zDtw#5vYD$3%<P_GoDl!=#?DQMT)RKE99i%#IfEX#)<fhyE|=iW$d2J
zS0VexO&vR_(2v-9vTs^O=BxpNQ3%0nE%cA<W@pYeop%~LjAcTkS_ufp^<)kMXM(EM
z#KF!p{wk@OR|f)Lrz+q_Z~P{ldKYpnbm10hx3#c1xtg;)VRRZc&3WVd-*A<L#ED5s
zuSf19dxe>z-x7u9D_so%S!@E9=-o&y=d@K&d-2rCqYbC}FFdWOmKrCs`ustYlrAds
z78`a~^maK&eiC~kfLY2qJL1m<KbF{pwgc06b9Sn#Q)D&rcNYG1NA*0OX>Da;5fydS
zwJ4XZn5nYFt2Qu5@2i+759gc-F1C6io$fie+KB!`i`ui}t|IUX3hD{k_W|gD6yT!(
zQzD-ZW*X8n=vzi}Nwd8c!~VA5M5ddu+Uxg;48gGaba=p>%(>_3bHqQ|Y<U0ZE@g7Q
zh!>lAKyBjN&>V%}AGt9!c*fzEb!n6Gz4{`6)nZ$OQjL_72SLi9BbPW~%e!;OOVr3M
z%>pp2xr}SZ-;@M9V+*5nU{wiP=CUDMs#*y!M<ph6PqYkpa2q3(z8assATA@?dxiC*
zW(iG*@K=g(0deTZVi=5^lr_;!?^lEmYZ8n6?rI5ij?j5O7*jqE5U{3&CfmnA?;zt4
z?o<{0Xq|rKqM8s;Lq;X|o^~F-DdiZEjzs*B>R$5O;2dr}yFb`Iqv^U!rmvjO5CyOx
zFN{JD+%EZZx5?}=PB@!|O*==UxGoZDy`WKW)`snkz^{?}z$t_7X5`rWwf+J40Hh09
z=G71t4beqWiFbaFG7hRZ^Br2Etz7sr(PXLlYX;ahsB#Pe?wj{-iomz{H<W^UES`nT
zn5orc&AF2*0frr5`G^_Kjc^C^fmIZ4N|d1z5&~AKP2b>d2j$#Epm3QbDmYcUyDw~@
z*z-&)@)#od=~+9GFRsOG`{y<4H^w(9_!z01Fe>3=&U&D7^InzR(2<ouiDGng;3!0o
zCk3Gu%9Xtca2)Pq=PZnT{vc>(k&^=C0KDR?9~HMOps_XIOhvF+G7fS`5?|A>-bzBA
zcuvSj;A4DCOtH(&F-Mz$K{@Vcz0?#elt10NEvSmUW@2o4r@a?JL{|-Dv@TC%HwHA{
z!U#hZkIM?YF!6bxjC>Qmv*!`VXC5H3Y3nCXB9Yg8TX$1N+I!si?1sT$(%fYCxj<5%
zU6Y8w;s0KB_WiZKe|#rDgWA00<DG}2%CVDht;~s3E8xd9XQ2oaKg>alE}c21aH9Hl
zdu9?+Ek2|s(Od$)(Y0bO4YlrXtd%jB)OND{ZoDQ4?FVcqh7xHDwiZ2kOK1VzrOO=;
zS1lj0Frx_&uu83>B>RW|{UfYqWfE5W&B1Ea^|R{}08;FON{|K$MR+PNb6XP#vRRBU
z+)aN@qbF;=`+9vq^$`MS%Z%2(%=0Bnp8RF#-2YeCnMYH-?qU2VY(j<*iY9keRH9?d
zm?530L)nqa*on5orjt!M$xw#GIc|fH;p!;1DH)P^+Okxl+GNU9NSsJX3HN#Tx_{k!
z?(d&gtCnTI`~AJ|`+dI8`*{>7Zvh7pxyqFRH4_^8Yi#LJ-yE2SMN{qT)F}m<O4hjM
z>k;>}ctJ@%3UbCb(U1S|QIa;WM4ef7uZdcmW~EPP>a9i(#kzeBT|;5i^5jpKT}rF?
zMm7^IyDKV+Ax%E(2{n45Pp!$8RKY1r%2`FSr$fo=Yl#&*W>10rI=MPsSp&XW{@Rv$
z)5;`WlSMC<Hrf@)t$_|B-*IA6v`&EH=Q}~&6k4xlWOLwV@|CQQ7XLUU9V1k4r@?0;
zx22SC&VG$V?x2t^UUlBLsMQ2~^f~#6c3O2nX<O^=&~fe^iHWn1w!csPo{XmG3D_JR
zU0D%HYO1QLl*x;s;5(~g#_}Xy$CU;MF&ah!9D;kNB)*P>Gue6@>8V%o-}h<g3)mhX
zVX!E)W@5w|0{5A(Z7QhPQ1ch<m|=SC`PI?Qr;CbgvmF|pF6HFBzlD-5j<aBG7s~9s
zbwO*EuT?RKR__<l-NNC#wWM^CQ^Nl<<Fr~xhyVfvnkMAmTr4iuBzO5I<V(UhZhp%}
zMCy441yi~w5)u(|>!+bFWP990L!W|7g(tp<ObYVY=JDPVazJCOAfrwmJ1_DokSD`2
zoQx>GMFToHyxs27!%>4ZsLaA2he6+22RMHSjO0m5ncbDhxS0b@A!Z>Fs+$u|sTpsV
zQ20RaXaIPm4R*AQ&o~X6!s0-{Z;=ZL+mF&vk)eE|@1GMzEob&@lf3YN#v5guP&&0X
z?|FE~&WWBl)e7cMNt(-H?A-$&Z$Xk5?)j6-9@p$2&y+@GUFJo{GcsZDmxb9>TYt|b
ze-Ke%DLvrrB~KF(6(ynM@Wl#jwa?$?sJ3m}nOC!*9?7}6yOWGz-Q3?}V>u|#rr;&k
z&F#PE%8!D^u2APt7~0ygd)wE0U9NurF4|pko7`^6YwPaFp`2pOvtUXAxNOueAD@g|
z7C+!^WzLOUnjup12U!1Y=-_mHx|{~qgd(ch$f#@CPod2Qo;z3X=J&m_Q(X)UDjBGI
z=L_d$SFIYtW(qO(H2Wzi0_%;9`?IYvTB_e>0COqy>QsYLGkSRv%1k6Oy9byT=GTy1
zN(eE>etoKCVN3vh8i-E@KckLYGOi}L@z5tVe)+`s7^#h(YRf8|%4W-^ob&F7cS>PQ
z**VNK$W%DIs(x8Cw=3Z#t(Dy9^Ra~C*0I<#6lQBz92QXv^HInTCt<C~Es!Sv1j?HT
zuOooykw|R-$fh9_P!y>Wadyl=p#p$g6I`f5+?kRNOj6(BSRE3><H=>qmiqLG41Di2
zHZ(Mx2Hp^<1wwGMmLVDxQOVf{dn&;N@&zvd4oi6`I8+F*9I`m-Zf^<rdjE&R1x_n)
zuqHS~PdJX-gDS=@$vM@cctH@s#LklUSGFXxqOCh_3Ma3%vq;*~WZI@kT~jVN;NGw1
zME~-?lG(%V4N(7=5^<Es^Z!2Q7bT49C_Xhc4umKdXy#ZFXyBSfpcqxw)RZBz9?X;)
zZjHhhBO=^z!X){i@V4CpCWPpI01uf!03gy9MhDh=S<H5`G^6uvFv}s8MGk6h6VBqq
zzzk-ZC`N_k`cf3he1S$wGNEw@cR}>BLj`L)K}D|Y>8%RV!7xLCjDi`E3Q0>#Yw+xN
z`?xg_)EPputLy7iBCP-@1~CxbWEXm&oFI~f2<m(H3j34|Mu;pJniq76UkX!qP=9W7
z=Hhzi5Sm<YZ~DuW(4%?UDUSc5N<yZ)Y7AQL8_u()+4q@g`T^pg3=#=r8gxZvL_mRm
zVv0}y_*#4vdo6EU;9_iO_(Dj$G_ugcpPn>>bsG8_7`oL8z$~l@o*NV@tEf<h+z4Nv
z1!fnnzFfh_0DeY9!tj$Mk{1a426^P}Fels4;UZUtfQICzrnIH+9uSXdSV>6<tpUap
z0eFcYA(2r~N^V0@M=xVDs$4>+aZ84-Y+soc5)zUTvp964U<9XiU>r%-1Rq5*Uy+&N
zJJz-V_bS+)6(HQmW7?^avpkqR*FP68wQ`jrL`~D>X%?0gE#Ijub#us;T_%2SqqE#!
z=H&f4`er40b;_B{*Odye!4o(QABA*@M#uqweZqTmp10fPadA1IH*h%C;xXt~L{~z*
z3Giy_zzxC9-3vX>*UyiS0t#jTT1pe*aN1yZMT89va+MH;K!tTcx)77HV%!Vd9qB#u
zVn2~Q)B!`YPTVPoOr1KsSL!F4|Hzok2L&d>Sm&2llJJjZmL8Es#*7%<f?QI%Rr9P}
zT@1i88Qdgby}}#%unfyY!Q8%+iLYiP<<=Kafj@sbSH-oEWSi&;=$OPysAQ(oO+x*b
z?>;!{v3aeIPp?t0jBj31PZ85On>{~^QEx|S9qCU9T%2%e+f3fxS<-=5(ALI=LJ>|8
z#8G>x_tA;ohtklS6w#C7L(&3e0`unO*@`*tW1?81=r+fDf#1;v!>I@Ok%Q)uR{R(O
zG*U#uJyCf{&N1mV5=a;>2E^3X)@HDFEHK`1f>v006{+H0zz`My69)%}_Hrn6gODGp
zhD>YleFmbjq>lU^q8MTIEodw37r*g=YNVo~@1K%0o01O^ri{Y+H~VMgxc65d#Nq%u
zp9`2z;_o3k2qFri<t)Fs-6>L@N^u=o6;+<g5}+@yCNmQ$NMUIg78M{HnxRubQC=On
zb-*LWs8ypW1sOuZ8aozZKz5XyeCV$+Mt6ry@+?(+%qTGKD#72H1K|~_j|72rO-)bl
z_Vra4YbawhJ?|F4Fh0om@igUvT?IJ6BhimDvFC{fFMjnvH|aK(LyH1H!M@`T5{K*`
z93$L7BS6V%Os8G`VjiS5KFt62-J!b!IkgKBLxz-|stqMbrT?64_rS@upJmr|ejcwB
z?sKFyY(;Mo*fS-R+JbZr=t5!Wo$R^}w-@|g*;!dx*Kxzi-s6|PayqkYkhVfxyo0o{
zIBxAgG<pRGSHo563Au~==#gbliPv4M8mpC*^5A<-g8aZ{<Ccys^$miuesKi`ff#m6
zPrcaF*W0UUU~p{a<Hwgi54;MTs)|ujcSGO;buwJ-SeXr-4*fBQ(!^k7r2r$AVsQ3!
zwl}QEw{&g6fzA3*^(7U5OV-}cghxAr1z^q?_?0gqyy@p6_OFePpC%Jj?Nk14Q;O!P
ze-isJgTZciM!<*u{{GzN=H{FfmJnc@ZAbvQyYA{t=jZXY@wsNXD&;MV7X~@|wd(I!
z<>Xs(6*0U$4_K3qcU!m4v$(U~_V)IiuaETgDzWtZt<Ts0zkI$?jGFs0g$XTBp1j0*
zajb9=*)r(v(Tjh>dZZ<0MyHQHNxY3bGEQm2)vLG3?{wvgSmfsj*RfQ?pffo4SWN2X
z5W%Vljl%Twbn8j308w~k<Nw@`N_N{uizUadg{)1gR#HJKvy<Zi07@=kgT>e;oOQ<0
zjvM~v4%y`b-aYv<0XJ__8crkEBt9i27W)mt;!7J7EqAompVO04`7*4%k0GtQ<nYJ0
zO|JKD(Wdgd^ccJFLq~^)`Ej4I$X(J_g_pt2-3pzz5tq9N<q%B7<_TT%>qNR37v)vM
zRYRkrk?7FeR0_{}UdWV2Rfgz3-ow`V+e0XE4V!DVV2dQYKlopzai8dEoK4PeXuZKK
z>ii^bH+>9K_oU@|wj6J{jdd+_FfxXCiizRMlF8Ud$32`+P|Av3rH+1y-W$=SK&JBl
df0~aiNpwHa_v22a{Z8Te(c*x4zNt&tzX29jJRtx8

diff --git a/docs/manual/inherit_graph_1.map b/docs/manual/inherit_graph_1.map
deleted file mode 100644
index c129322..0000000
--- a/docs/manual/inherit_graph_1.map
+++ /dev/null
@@ -1,3 +0,0 @@
-<map id="Graphical Class Hierarchy" name="Graphical Class Hierarchy">
-<area shape="rect" id="Node000000" href="$classbayesnet_1_1_network.html" title=" " alt="" coords="5,5,137,31"/>
-</map>
diff --git a/docs/manual/inherit_graph_1.md5 b/docs/manual/inherit_graph_1.md5
deleted file mode 100644
index ed1e310..0000000
--- a/docs/manual/inherit_graph_1.md5
+++ /dev/null
@@ -1 +0,0 @@
-65918d135faed85a5d80296a021b4cf3
\ No newline at end of file
diff --git a/docs/manual/inherit_graph_1.png b/docs/manual/inherit_graph_1.png
deleted file mode 100644
index f36291a4f90163f7ced46ce456a2073db38fb6bc..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2310
zcmYjTc{tQv8~#bDQ1)dsmY7V|mn2)pHW@PZeTj)=WXn=ndZngNX68lNcO%A5S<_So
z6W1`z$nx6vEriOJcz<2rKi_lKKhAZ|bMEIp_j8_GS)k5vig5w}aK_XGX#<W#u)$7o
zfW1fLu^4dR@H9gqfulbqpHlJ?08X`-A`R@qv)8hGP3(fs(W*0O-h$p^nPYd_uhRuj
z)3F95a{6}95SizM^5cS6br`gPHBxw(17bM;#9Qa4ub{(-*##GC>!gg4rYx^3uL;^i
zzX~2$G#8V+kMtIId~>51q2oIdxqb^{KEnFQ|JmGRT#=uYv^3R7IteXF^h6$7m>g<c
zxNz-PD0=Xx)N|ye8`4SHN1@)&57>8kVk+|3$MIg$T3UOJjxt+20^;K1UT*twUwQY^
zq{L9|ipbgc^k-No-&<aSjHhs6FtXdTj~21BF5VC@dPT7QfE54FKcBl^!dp7j)YO6x
z4<<KNoy^U9f=06p&Xp7wbCi~r8d=k8W)>IY-oJkzE&1rjl68A~`xKLe%9&{l9H*|0
zHa;?AJZ23K#|ywM4usdvQ|#0=G-mrtEOik(o3p4yXw7X~TLHYWS7Q?si!?Vkul}yB
zt=;$K%a@=Y8qHXgJC<$WO7IL4i9(Sml;3He&)QoEz^vWfiK(fn5_v%Z0UeD&lijR!
z9wX1}?d|&@PWq*G)Yeuu1&4|l_v(|t+`<BNXh;NsKv>DA48QT_0x&;U2IBGf)uQQ@
zl^14d%51=kgalPz7ObhcxwWh7v>3ryWg=HMYHEJ|gruZoQ%egeKOgwCLocRKbcvFB
zXGKIrG_|yD4pum00|VD>)l^h?>+9>C-i66AvbER&6EwO#TPyVG{yQQY=Gz2?TwZQu
zV`Ee8*FTxfC9L>qeY}MY@c0=0EGI{tpP&D@xTU4#)$k1fNX*GO^V;V5)D-5TAZL3=
zM*)e%Zf|d2)6hU$?k|~MUnf$jREv7-WwG78y@EGy-sp{Lt4Pbpv=tT>4tsENa-NFe
z<Ky$kVlf5=Z1(a(>SAY1L$>C+u0B|Y5{zXO6cl`Yd_ETzO5gVOW-^&c9Jt4@jI1oP
zsHmuhy1I?;i@jm@?#)--XxW{oi=?Kd_0#DIU0q#@a&iSY9D7z~CRRl>eCiXMMIIst
z=4@kQ2yk<8k=(0&Zr(hfa{WR-i?#m+)@4mHR)xb+n$_9aPzmiY@=z^W*2~>p;xD%*
zeOFi4)RdGY*if}cZ+!fzWT+JbcakRrL=x6D+8ESNqs6wiw!*p=d-H4ytZFJN2`-hX
zA<fy~dbp{Bg98in2t|YzIFw%i80o4wEiElYW#wW50lesEqBvA9`f9yPz{j0b7^$#O
z6as;4kK%1zT;$suf+iVqw#79h60X|gV=)tZD<DAW`_|Ud>S{M0&kbI`Z(_pTsj0Km
zByhL}ge5oE0uG0-glVt*j0CGJ40iYMVDI6tZ6(k$($hQ3%H%<!G&D3MAKZlY%O=ll
z&C{Dh7a0ikmO#%(Dv&r>nxZrHT7q!Ws(<$5xrduGCn_r{hFL5_f^pmKZn%rHb8T~T
zhN-D32%?NBh*Z3MN|~+F>C>mV&zup$haMgNojgZR`^(qMtF6+tk;PyTK{EVC=m}6D
zJ|@ccfq{V=TU-1zHa0eLb#<Jbd`G?CP`*tmFBFO|DuUrfRgVFffB=Ghxx@5KM*=n|
z=yQsKV@=?=HlXk8EB7N(_u%*M>91e8JUl##ii-`UlQ65pwVF}eiXgM5K(fWe0Ao$T
zBwJk>6j4xuJ|6<UMuhrF`f~yJ-ER}R)0g}_rL=w@9OT={Z!R%q#wbxD^i(Ay3`Pp1
z;@w4tIC<a>pzrJqd4j{~^w^i$k*lhNX@`f0)LAeFGYdUgi6$_kk@%hcwO#!`kHppW
zoT8#409fWBI+mCuYd1G;f-#OtH9UU&H~_q-P@YA69jr8RauRi@ay#AZM(pde0wy&k
zm`pw)At9>t(7?bn2pD(_tvf@FPeOvYzaI&M!@Xu{1g9Fz<9vmb!*Jb=qra^^GI1Sk
zZS23c*NpuA6^qTYI8Z3m+mNz>JD^;EV2Pw_-;-Zp<Rs`kSeMe%la!N_0{|Z%pSi`w
z2bn%D-*Ri}>X6aV2o{UQD<TpX@qMB7-+v?e7O&pwsVy~lxV;Kd_V|F`*tq*DEv*d{
zBT#*S7zM|w{JJ{3;qJslUME*q83aPYZ>UP>%EO8G5q-;Hot>S4shypjex<|gSaaw_
zd3kE`1+%{4;ZvaAkOx*IzP)?LN|ObgoSaUXUk0u|+~v*4$e<8g_yq*md3bo-D3JrJ
z*>~#2;Fh^aD=S__B_&lK2DGTC2m^+Z+OkA_#<h8{7wYygTKv<F&fC>h|EF<rJ5Fh6
zS)5^kJ{rwU!$WXQO-&wEDbDHrvv`PF?4A0|>#vh-N?(DFzHY@}zz7)`8ZOPu7^YnB
zQ1=^Dk(Yl_RaIs9@=wM%HkG9jq`iFm)~&w5!PMN`+`5{Ysr{c{_tr)=8X6lz!R_nn
z>TZFqQ7Dv%l`nG1dXZ4uUZZ5c!HVg@O4nbYc=Tjx*ea)~>FVBCIwy-xms$!FKN_1&
z4+jzTzLe27%YC`Ty}BeNMQG>Sq-C;yK)`D^<wa0Xb>>ac=pwW%sj*RGZEX!AF0OQ$
z0g(HbO%9iW(SpLlA?@*e-3-Rz{D;ilfS%1>Y`x3i;Nbm)kB^SrH6dHSa$=ZRn5l%$
zef(RW-gWEVFrOdOZE+UCBxa{$wfiQR1)o?vS~h<PyQeKaIx@mhq~WFoP9^oCyJKTx
z3oh0=MyfFqe`v~%jgLp+%k9c6yfid4E~~3g50pD<M*g^XRuVBbdleMG<0nqsOE81+
z@9yts+It0M0{K=KyID|THs`Zrw#8@&+8O6L{9&$wOx6dvc_m=vDac12M~L+8OGV!_
z+0RQ!<&VO%q>rHOdG`OGzh{ohkllq@!9_O9CrQlkS~3}{xx%-{m2~~JWNZrum>K?9
cl3wc(a7}a!OLq$;fFB#c^qK{-$`JG9KOWy`DgXcg

diff --git a/docs/manual/inherit_graph_2.map b/docs/manual/inherit_graph_2.map
deleted file mode 100644
index 6791d6e..0000000
--- a/docs/manual/inherit_graph_2.map
+++ /dev/null
@@ -1,3 +0,0 @@
-<map id="Graphical Class Hierarchy" name="Graphical Class Hierarchy">
-<area shape="rect" id="Node000000" href="$classbayesnet_1_1_node.html" title=" " alt="" coords="5,5,119,31"/>
-</map>
diff --git a/docs/manual/inherit_graph_2.md5 b/docs/manual/inherit_graph_2.md5
deleted file mode 100644
index 81f8e6e..0000000
--- a/docs/manual/inherit_graph_2.md5
+++ /dev/null
@@ -1 +0,0 @@
-75f111cd5e54a47afb7579e7ca08bb41
\ No newline at end of file
diff --git a/docs/manual/inherit_graph_2.png b/docs/manual/inherit_graph_2.png
deleted file mode 100644
index 9b58930bddb0bf915ff834db73eee358fa311888..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2036
zcmV<Q2MhR#P)<h;3K|Lk000e1NJLTq004Xd001Ni1^@s6OT%6y00006VoOIv0RI60
z0RN!9r;`8x2dPO!K~#90?V4LiR9_p$pP5t~MDa9DqgG=En%WehSXrnD6_$n_{1m$|
z7&S1A5)BNyFv38KvV@E-vJ|a6BqnGD2FZsdY8GUXna5HyXR=Xi)Oo&(KIh-$G1I?<
z`*-Df*ILhh_I`BUrCUHiKtMo1K;Umg^lL$-QaOo4qOFTzMqqv+`QPi;uXp}jGx>Fq
zNF>@S5{YjAd$t4?kpBR<^K)TB;NxUxXD_%LfrTSBHg?jw_+R!Ru*e93FENC`ml#6e
zOAI0KC590A6622pfA{Vkl9H0<!^>YqLP7$rUcEY@o}ZtO+qdWTXN>&(d=wWK|EaZU
z`QyO5ySs7o=FR!=vZ#1?c%Z7PYS!yBGcyqv7l)@$pBmL4Ja~Xdj~>m*Lv?jEYHDic
zw0E}5>qq*)zyQ8{`7-I;=g*%(^0zfL8V&S%{e-$+uSa)x_mum_#>Sx0XlAY1-`@|N
zPWM~h+}+&~8ykz!(a~wwkwjZt8-|C6C!HS}8k%zNRQEqu<|Xja(NU;WD#&Cq*x1-$
z-@bj&YPA4>%F0T(xw*mB)fF<C3@1*U00103co5Oi(MB3_xg14BMF4>M`g(YJdcwiM
z0d{tFNJ&XCe8Z%sro!3T8LqCbaCCG;b#*m>AMM4;$_iJmT!B<7g`J%pwr}5#fq{W(
zH8*bDh@PGv?A^N;H*VYj0Hmj<BQP+~;P2Nl0Gv5<2EDz#xOnm6l+UKTyc{x_3_d<S
zu(r0wv17+DHZ}$TC@n38TrP*TwKcYE*@BLa4#U3b?tfm1j*bqCiHYHCsjjXj0IF0f
z_Vx9#y1JSQg@P$5DJ02Fn>Mkapn!V4o?TsCw6wHjU0ogT+_^(rTU+XMI+A2%WhJew
ztT;S8%&%X+QZASC^y$+a92{g@TN|C7otd4T&F1E2+Su4oqtQ^O)A8K7bKJUhD@n4s
zxtRbM78XXWR?FJjTFPWH-nw;bT1}E%v0?=)Dk=>3RZ&sFjEsya$0jBwtg5Qw-Me>b
zVPV16)>e{aR8$mIDiukxv$K;DiG*ckWhBY2t}Z$|JM+?|OB@;+qC_HLT3Q-48Vz%D
zatMHliHS3MoeeQDF^rCm4qLFmTUuHSwUZ}L(%ajcV`F1{{rWZadOdr3dRSFeMSFXD
z=H=yaczBprR#t|G9336a!-o%(By)3fX=i6gwOUQBR!gl`%jD!_?%cVPZ{NP9nVA{W
z)6@Ck!w2g1dVc%%%_#8khfk8Bp`ko=>eRHF<ix;dVmxq?3<(M0o;`a=8V8<{kwJw*
zVYDwfIhp?c{=9$xKIL+`(VSALWMX3Cj9zEMRDn<V^5l1LaBzULv$J8WR4Q@%_HBs8
zVw9GaA}cEkVzC$-Hf+GMWy=5n=H})&aNqz63kwk#7>JUR62s}XrKJU0trqLouQ$4m
zr>7^@u3d|qoE%)ZZ~;k4N$~LSKx%3#LPJ9h>y|HHZunXvkwB-@O{@8*WMyT+-QC^L
zj>c(iZH14Ik5NsbP@t%&2oE1Vgs-o!(cJjjh4eZvf%o?IVq|0lrlzI<falMjW7Vov
zsIRX_N=gc9YiprYDggj4E-r?BhYlS=SXdbL@81uJL;`<*e*ixMv$eHFdwV-XB9Y-5
zgM)+k`0*pQZQF+M@Nj(k^a<J7**J3K2zKq-WzZFi|2dlQ|9x*d%|FG-$q8rAo<)3o
zJT`CM3|m`U0D!%{J)S&yVzhSr*;rayqN%CLXs)550RaI43+i>=4sGKHm&V3M6c-mG
zJUkq2ZEdizv4N|rD*&LRqy#N3Ert;M{QO{UZjOY61Vlzg8iLxfV+Yh~HS+TEKoafk
z?Fb4ALP0?R>gwtc5)y*`{(eZMQUnDB&FU08ohAU7nwlC8cK}dRQ-l2c{3*x35*HT-
zCnqP|yLZn}+r4`?UcP*Zva&J&KYkM^FE2-UcsPQCgYoLsD-;$Mf+QY4evJD1`dN9M
zSLV{gSFc{ppr9biWHO4yVn#+rQm4~#WMqVXetwinrBo;sjEIO}OiT>raydIYJ4upB
zNl662H*ek;>E`9-(Za%lD_5?hsi`TWqN4cy`*)6xj?&lHmu6;W^z!nei;D}dUAso|
zpB_Hm(@8QSB7%vDiPLJ5<niOjDUnE+o11Iswd>ZcGwA#}{<(*b)7aQZ6B83d4=2g=
z^mLk-n9#+=g;rKpjE#-u$jAsuGA%8QVzHQVxtwd(tYKti<gC2Th6Ovc{Y+<PCwqE&
zCe+`*e^0eqZ5VfTby2U^lO!)+zRZAtfJybnPud+F9Y%G%UeBhcCN?xQ7<6XKRGK8I
zR;vwR%qMEKn$Mm+V_#q2gt^|{UcPwof}^9OzvXo%7WB|Ij-#XFq;-WtVKjDdaDYam
zK~qx`GBY!A{`~n#_gPq2z{|^PLR};h!OhKWP9CSy1ORJm>p5x8gtfIbyuH0Aos&wX
zkV>VK&Q0fat}NQillJy@#K*_u=+UDH4h~){8%vIP{R#galu9LPYik$l@=F%s_2?2q
z2z-el1ir)&{x5xrF(GiVSlpr4>kI4Z>K4O~z&s)ri#ujsB_JRmARr*{H}F5M@Tq0W
S8KN8j0000<MNUMnLSTZ9zv6@d

diff --git a/docs/manual/inherits.html b/docs/manual/inherits.html
deleted file mode 100644
index bc90098..0000000
--- a/docs/manual/inherits.html
+++ /dev/null
@@ -1,167 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
-<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US">
-<head>
-<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
-<meta http-equiv="X-UA-Compatible" content="IE=11"/>
-<meta name="generator" content="Doxygen 1.11.0"/>
-<meta name="viewport" content="width=device-width, initial-scale=1"/>
-<title>BayesNet: Class Hierarchy</title>
-<link href="tabs.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="jquery.js"></script>
-<script type="text/javascript" src="dynsections.js"></script>
-<script type="text/javascript" src="clipboard.js"></script>
-<link href="navtree.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="navtreedata.js"></script>
-<script type="text/javascript" src="navtree.js"></script>
-<script type="text/javascript" src="resize.js"></script>
-<script type="text/javascript" src="cookie.js"></script>
-<link href="search/search.css" rel="stylesheet" type="text/css"/>
-<script type="text/javascript" src="search/searchdata.js"></script>
-<script type="text/javascript" src="search/search.js"></script>
-<link href="doxygen.css" rel="stylesheet" type="text/css" />
-</head>
-<body>
-<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
-<div id="titlearea">
-<table cellspacing="0" cellpadding="0">
- <tbody>
- <tr id="projectrow">
-  <td id="projectlogo"><img alt="Logo" src="logo_small.png"/></td>
-  <td id="projectalign">
-   <div id="projectname">BayesNet<span id="projectnumber">&#160;1.0.5</span>
-   </div>
-   <div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
-  </td>
- </tr>
- </tbody>
-</table>
-</div>
-<!-- end header part -->
-<!-- Generated by Doxygen 1.11.0 -->
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-var searchBox = new SearchBox("searchBox", "search/",'.html');
-/* @license-end */
-</script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() { codefold.init(0); });
-/* @license-end */
-</script>
-<script type="text/javascript" src="menudata.js"></script>
-<script type="text/javascript" src="menu.js"></script>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function() {
-  initMenu('',true,false,'search.php','Search',true);
-  $(function() { init_search(); });
-});
-/* @license-end */
-</script>
-<div id="main-nav"></div>
-</div><!-- top -->
-<div id="side-nav" class="ui-resizable side-nav-resizable">
-  <div id="nav-tree">
-    <div id="nav-tree-contents">
-      <div id="nav-sync" class="sync"></div>
-    </div>
-  </div>
-  <div id="splitbar" style="-moz-user-select:none;" 
-       class="ui-resizable-handle">
-  </div>
-</div>
-<script type="text/javascript">
-/* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&amp;dn=expat.txt MIT */
-$(function(){initNavTree('hierarchy.html',''); initResizable(true); });
-/* @license-end */
-</script>
-<div id="doc-content">
-<!-- window showing the filter options -->
-<div id="MSearchSelectWindow"
-     onmouseover="return searchBox.OnSearchSelectShow()"
-     onmouseout="return searchBox.OnSearchSelectHide()"
-     onkeydown="return searchBox.OnSearchSelectKey(event)">
-</div>
-
-<!-- iframe showing the search results (closed by default) -->
-<div id="MSearchResultsWindow">
-<div id="MSearchResults">
-<div class="SRPage">
-<div id="SRIndex">
-<div id="SRResults"></div>
-<div class="SRStatus" id="Loading">Loading...</div>
-<div class="SRStatus" id="Searching">Searching...</div>
-<div class="SRStatus" id="NoMatches">No Matches</div>
-</div>
-</div>
-</div>
-</div>
-
-<div class="header">
-  <div class="headertitle"><div class="title">Class Hierarchy</div></div>
-</div><!--header-->
-<div class="contents">
-<div class="textblock">
-<p><a href="hierarchy.html">Go to the textual class hierarchy</a></p>
-</div><table border="0" cellspacing="10" cellpadding="0">
-<tr><td><img src="inherit_graph_0.png" border="0" usemap="#abayesnet_1_1_base_classifier" alt=""/>
-<map name="abayesnet_1_1_base_classifier" id="abayesnet_1_1_base_classifier">
-<area shape="rect" href="classbayesnet_1_1_base_classifier.html" title=" " alt="" coords="5,177,173,203"/>
-<area shape="rect" href="classbayesnet_1_1_classifier.html" title=" " alt="" coords="221,177,358,203"/>
-<area shape="poly" title=" " alt="" coords="188,188,220,188,220,193,188,193"/>
-<area shape="rect" href="classbayesnet_1_1_ensemble.html" title=" " alt="" coords="406,128,546,154"/>
-<area shape="poly" title=" " alt="" coords="355,170,424,152,425,157,356,175"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b.html" title=" " alt="" coords="421,177,531,203"/>
-<area shape="poly" title=" " alt="" coords="373,188,421,188,421,193,373,193"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e.html" title=" " alt="" coords="412,276,541,302"/>
-<area shape="poly" title=" " alt="" coords="322,210,362,237,407,262,432,273,430,278,405,267,359,241,319,214"/>
-<area shape="rect" href="classbayesnet_1_1_s_pn_d_e.html" title=" " alt="" coords="413,79,539,104"/>
-<area shape="poly" title=" " alt="" coords="319,166,359,139,405,113,430,102,432,107,407,118,362,144,322,170"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n.html" title=" " alt="" coords="422,325,530,351"/>
-<area shape="poly" title=" " alt="" coords="310,214,352,263,378,289,407,312,428,322,426,327,405,316,375,293,348,267,306,217"/>
-<area shape="rect" href="classbayesnet_1_1_a2_d_e.html" title=" " alt="" coords="607,79,725,104"/>
-<area shape="poly" title=" " alt="" coords="543,121,613,102,614,108,544,126"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e.html" title=" " alt="" coords="606,128,726,154"/>
-<area shape="poly" title=" " alt="" coords="562,138,606,138,606,144,562,144"/>
-<area shape="rect" href="classbayesnet_1_1_a_o_d_e_ld.html" title=" " alt="" coords="599,177,733,203"/>
-<area shape="poly" title=" " alt="" coords="544,156,614,174,613,179,543,161"/>
-<area shape="rect" href="classbayesnet_1_1_boost.html" title=" " alt="" coords="608,29,724,55"/>
-<area shape="poly" title=" " alt="" coords="538,119,545,115,559,102,568,90,578,77,593,64,614,53,616,58,596,68,581,81,572,93,563,106,548,119,540,124"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a2_d_e.html" title=" " alt="" coords="787,5,939,31"/>
-<area shape="poly" title=" " alt="" coords="739,31,786,25,787,30,740,36"/>
-<area shape="rect" href="classbayesnet_1_1_boost_a_o_d_e.html" title=" " alt="" coords="786,55,940,80"/>
-<area shape="poly" title=" " alt="" coords="740,49,786,55,785,60,739,54"/>
-<area shape="rect" href="classbayesnet_1_1_k_d_b_ld.html" title=" " alt="" coords="604,227,728,252"/>
-<area shape="poly" title=" " alt="" coords="544,205,614,223,613,229,543,210"/>
-<area shape="rect" href="classbayesnet_1_1_s_p_o_d_e_ld.html" title=" " alt="" coords="594,276,738,302"/>
-<area shape="poly" title=" " alt="" coords="556,286,594,286,594,292,556,292"/>
-<area shape="rect" href="classbayesnet_1_1_t_a_n_ld.html" title=" " alt="" coords="605,325,727,351"/>
-<area shape="poly" title=" " alt="" coords="546,336,604,336,604,341,546,341"/>
-<area shape="rect" href="classbayesnet_1_1_proposal.html" title=" " alt="" coords="410,227,543,252"/>
-<area shape="poly" title=" " alt="" coords="543,220,613,201,614,206,544,225"/>
-<area shape="poly" title=" " alt="" coords="558,237,604,237,604,242,558,242"/>
-<area shape="poly" title=" " alt="" coords="544,254,614,273,613,278,543,259"/>
-<area shape="poly" title=" " alt="" coords="540,257,548,261,563,274,572,287,581,300,596,312,616,322,614,327,593,316,578,303,568,290,559,278,545,266,538,261"/>
-</map>
-</td></tr>
-<tr><td><img src="inherit_graph_1.png" border="0" usemap="#abayesnet_1_1_network" alt=""/>
-<map name="abayesnet_1_1_network" id="abayesnet_1_1_network">
-<area shape="rect" href="classbayesnet_1_1_network.html" title=" " alt="" coords="5,5,137,31"/>
-</map>
-</td></tr>
-<tr><td><img src="inherit_graph_2.png" border="0" usemap="#abayesnet_1_1_node" alt=""/>
-<map name="abayesnet_1_1_node" id="abayesnet_1_1_node">
-<area shape="rect" href="classbayesnet_1_1_node.html" title=" " alt="" coords="5,5,119,31"/>
-</map>
-</td></tr>
-</table>
-</div><!-- contents -->
-</div><!-- doc-content -->
-<!-- start footer part -->
-<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
-  <ul>
-    <li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.11.0 </li>
-  </ul>
-</div>
-</body>
-</html>
diff --git a/docs/manual/jquery.js b/docs/manual/jquery.js
deleted file mode 100644
index 1dffb65..0000000
--- a/docs/manual/jquery.js
+++ /dev/null
@@ -1,34 +0,0 @@
-/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
-!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
-/*! jQuery UI - v1.13.2 - 2022-08-01
-* http://jqueryui.com
-* Includes: widget.js, position.js, data.js, disable-selection.js, focusable.js, form-reset-mixin.js, jquery-patch.js, keycode.js, labels.js, scroll-parent.js, tabbable.js, unique-id.js, widgets/resizable.js, widgets/mouse.js
-* Copyright jQuery Foundation and other contributors; Licensed MIT */
-
-!function(t){"use strict";"function"==typeof define&&define.amd?define(["jquery"],t):t(jQuery)}(function(y){"use strict";y.ui=y.ui||{};y.ui.version="1.13.2";var n,i=0,h=Array.prototype.hasOwnProperty,a=Array.prototype.slice;y.cleanData=(n=y.cleanData,function(t){for(var e,i,s=0;null!=(i=t[s]);s++)(e=y._data(i,"events"))&&e.remove&&y(i).triggerHandler("remove");n(t)}),y.widget=function(t,i,e){var s,n,o,h={},a=t.split(".")[0],r=a+"-"+(t=t.split(".")[1]);return e||(e=i,i=y.Widget),Array.isArray(e)&&(e=y.extend.apply(null,[{}].concat(e))),y.expr.pseudos[r.toLowerCase()]=function(t){return!!y.data(t,r)},y[a]=y[a]||{},s=y[a][t],n=y[a][t]=function(t,e){if(!this||!this._createWidget)return new n(t,e);arguments.length&&this._createWidget(t,e)},y.extend(n,s,{version:e.version,_proto:y.extend({},e),_childConstructors:[]}),(o=new i).options=y.widget.extend({},o.options),y.each(e,function(e,s){function n(){return i.prototype[e].apply(this,arguments)}function o(t){return i.prototype[e].apply(this,t)}h[e]="function"==typeof s?function(){var t,e=this._super,i=this._superApply;return this._super=n,this._superApply=o,t=s.apply(this,arguments),this._super=e,this._superApply=i,t}:s}),n.prototype=y.widget.extend(o,{widgetEventPrefix:s&&o.widgetEventPrefix||t},h,{constructor:n,namespace:a,widgetName:t,widgetFullName:r}),s?(y.each(s._childConstructors,function(t,e){var i=e.prototype;y.widget(i.namespace+"."+i.widgetName,n,e._proto)}),delete s._childConstructors):i._childConstructors.push(n),y.widget.bridge(t,n),n},y.widget.extend=function(t){for(var e,i,s=a.call(arguments,1),n=0,o=s.length;n<o;n++)for(e in s[n])i=s[n][e],h.call(s[n],e)&&void 0!==i&&(y.isPlainObject(i)?t[e]=y.isPlainObject(t[e])?y.widget.extend({},t[e],i):y.widget.extend({},i):t[e]=i);return t},y.widget.bridge=function(o,e){var h=e.prototype.widgetFullName||o;y.fn[o]=function(i){var t="string"==typeof i,s=a.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t,e=y.data(this,h);return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?y.error("no such method '"+i+"' for "+o+" widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:y.error("cannot call methods on "+o+" prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=y.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=y.data(this,h);t?(t.option(i||{}),t._init&&t._init()):y.data(this,h,new e(i,this))})),n}},y.Widget=function(){},y.Widget._childConstructors=[],y.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{classes:{},disabled:!1,create:null},_createWidget:function(t,e){e=y(e||this.defaultElement||this)[0],this.element=y(e),this.uuid=i++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=y(),this.hoverable=y(),this.focusable=y(),this.classesElementLookup={},e!==this&&(y.data(e,this.widgetFullName,this),this._on(!0,this.element,{remove:function(t){t.target===e&&this.destroy()}}),this.document=y(e.style?e.ownerDocument:e.document||e),this.window=y(this.document[0].defaultView||this.document[0].parentWindow)),this.options=y.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this.options.disabled&&this._setOptionDisabled(this.options.disabled),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:function(){return{}},_getCreateEventData:y.noop,_create:y.noop,_init:y.noop,destroy:function(){var i=this;this._destroy(),y.each(this.classesElementLookup,function(t,e){i._removeClass(e,t)}),this.element.off(this.eventNamespace).removeData(this.widgetFullName),this.widget().off(this.eventNamespace).removeAttr("aria-disabled"),this.bindings.off(this.eventNamespace)},_destroy:y.noop,widget:function(){return this.element},option:function(t,e){var i,s,n,o=t;if(0===arguments.length)return y.widget.extend({},this.options);if("string"==typeof t)if(o={},t=(i=t.split(".")).shift(),i.length){for(s=o[t]=y.widget.extend({},this.options[t]),n=0;n<i.length-1;n++)s[i[n]]=s[i[n]]||{},s=s[i[n]];if(t=i.pop(),1===arguments.length)return void 0===s[t]?null:s[t];s[t]=e}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=e}return this._setOptions(o),this},_setOptions:function(t){for(var e in t)this._setOption(e,t[e]);return this},_setOption:function(t,e){return"classes"===t&&this._setOptionClasses(e),this.options[t]=e,"disabled"===t&&this._setOptionDisabled(e),this},_setOptionClasses:function(t){var e,i,s;for(e in t)s=this.classesElementLookup[e],t[e]!==this.options.classes[e]&&s&&s.length&&(i=y(s.get()),this._removeClass(s,e),i.addClass(this._classes({element:i,keys:e,classes:t,add:!0})))},_setOptionDisabled:function(t){this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!!t),t&&(this._removeClass(this.hoverable,null,"ui-state-hover"),this._removeClass(this.focusable,null,"ui-state-focus"))},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_classes:function(n){var o=[],h=this;function t(t,e){for(var i,s=0;s<t.length;s++)i=h.classesElementLookup[t[s]]||y(),i=n.add?(function(){var i=[];n.element.each(function(t,e){y.map(h.classesElementLookup,function(t){return t}).some(function(t){return t.is(e)})||i.push(e)}),h._on(y(i),{remove:"_untrackClassesElement"})}(),y(y.uniqueSort(i.get().concat(n.element.get())))):y(i.not(n.element).get()),h.classesElementLookup[t[s]]=i,o.push(t[s]),e&&n.classes[t[s]]&&o.push(n.classes[t[s]])}return(n=y.extend({element:this.element,classes:this.options.classes||{}},n)).keys&&t(n.keys.match(/\S+/g)||[],!0),n.extra&&t(n.extra.match(/\S+/g)||[]),o.join(" ")},_untrackClassesElement:function(i){var s=this;y.each(s.classesElementLookup,function(t,e){-1!==y.inArray(i.target,e)&&(s.classesElementLookup[t]=y(e.not(i.target).get()))}),this._off(y(i.target))},_removeClass:function(t,e,i){return this._toggleClass(t,e,i,!1)},_addClass:function(t,e,i){return this._toggleClass(t,e,i,!0)},_toggleClass:function(t,e,i,s){var n="string"==typeof t||null===t,i={extra:n?e:i,keys:n?t:e,element:n?this.element:t,add:s="boolean"==typeof s?s:i};return i.element.toggleClass(this._classes(i),s),this},_on:function(n,o,t){var h,a=this;"boolean"!=typeof n&&(t=o,o=n,n=!1),t?(o=h=y(o),this.bindings=this.bindings.add(o)):(t=o,o=this.element,h=this.widget()),y.each(t,function(t,e){function i(){if(n||!0!==a.options.disabled&&!y(this).hasClass("ui-state-disabled"))return("string"==typeof e?a[e]:e).apply(a,arguments)}"string"!=typeof e&&(i.guid=e.guid=e.guid||i.guid||y.guid++);var s=t.match(/^([\w:-]*)\s*(.*)$/),t=s[1]+a.eventNamespace,s=s[2];s?h.on(t,s,i):o.on(t,i)})},_off:function(t,e){e=(e||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.off(e),this.bindings=y(this.bindings.not(t).get()),this.focusable=y(this.focusable.not(t).get()),this.hoverable=y(this.hoverable.not(t).get())},_delay:function(t,e){var i=this;return setTimeout(function(){return("string"==typeof t?i[t]:t).apply(i,arguments)},e||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){this._addClass(y(t.currentTarget),null,"ui-state-hover")},mouseleave:function(t){this._removeClass(y(t.currentTarget),null,"ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){this._addClass(y(t.currentTarget),null,"ui-state-focus")},focusout:function(t){this._removeClass(y(t.currentTarget),null,"ui-state-focus")}})},_trigger:function(t,e,i){var s,n,o=this.options[t];if(i=i||{},(e=y.Event(e)).type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),e.target=this.element[0],n=e.originalEvent)for(s in n)s in e||(e[s]=n[s]);return this.element.trigger(e,i),!("function"==typeof o&&!1===o.apply(this.element[0],[e].concat(i))||e.isDefaultPrevented())}},y.each({show:"fadeIn",hide:"fadeOut"},function(o,h){y.Widget.prototype["_"+o]=function(e,t,i){var s,n=(t="string"==typeof t?{effect:t}:t)?!0!==t&&"number"!=typeof t&&t.effect||h:o;"number"==typeof(t=t||{})?t={duration:t}:!0===t&&(t={}),s=!y.isEmptyObject(t),t.complete=i,t.delay&&e.delay(t.delay),s&&y.effects&&y.effects.effect[n]?e[o](t):n!==o&&e[n]?e[n](t.duration,t.easing,i):e.queue(function(t){y(this)[o](),i&&i.call(e[0]),t()})}});var s,x,D,o,r,l,u,p,W;y.widget;function E(t,e,i){return[parseFloat(t[0])*(p.test(t[0])?e/100:1),parseFloat(t[1])*(p.test(t[1])?i/100:1)]}function H(t,e){return parseInt(y.css(t,e),10)||0}function S(t){return null!=t&&t===t.window}x=Math.max,D=Math.abs,o=/left|center|right/,r=/top|center|bottom/,l=/[\+\-]\d+(\.[\d]+)?%?/,u=/^\w+/,p=/%$/,W=y.fn.position,y.position={scrollbarWidth:function(){if(void 0!==s)return s;var t,e=y("<div style='display:block;position:absolute;width:200px;height:200px;overflow:hidden;'><div style='height:300px;width:auto;'></div></div>"),i=e.children()[0];return y("body").append(e),t=i.offsetWidth,e.css("overflow","scroll"),t===(i=i.offsetWidth)&&(i=e[0].clientWidth),e.remove(),s=t-i},getScrollInfo:function(t){var e=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),i=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),e="scroll"===e||"auto"===e&&t.width<t.element[0].scrollWidth;return{width:"scroll"===i||"auto"===i&&t.height<t.element[0].scrollHeight?y.position.scrollbarWidth():0,height:e?y.position.scrollbarWidth():0}},getWithinInfo:function(t){var e=y(t||window),i=S(e[0]),s=!!e[0]&&9===e[0].nodeType;return{element:e,isWindow:i,isDocument:s,offset:!i&&!s?y(t).offset():{left:0,top:0},scrollLeft:e.scrollLeft(),scrollTop:e.scrollTop(),width:e.outerWidth(),height:e.outerHeight()}}},y.fn.position=function(p){if(!p||!p.of)return W.apply(this,arguments);var d,c,f,g,m,t,_="string"==typeof(p=y.extend({},p)).of?y(document).find(p.of):y(p.of),w=y.position.getWithinInfo(p.within),v=y.position.getScrollInfo(w),b=(p.collision||"flip").split(" "),z={},e=9===(t=(e=_)[0]).nodeType?{width:e.width(),height:e.height(),offset:{top:0,left:0}}:S(t)?{width:e.width(),height:e.height(),offset:{top:e.scrollTop(),left:e.scrollLeft()}}:t.preventDefault?{width:0,height:0,offset:{top:t.pageY,left:t.pageX}}:{width:e.outerWidth(),height:e.outerHeight(),offset:e.offset()};return _[0].preventDefault&&(p.at="left top"),c=e.width,f=e.height,m=y.extend({},g=e.offset),y.each(["my","at"],function(){var t,e,i=(p[this]||"").split(" ");(i=1===i.length?o.test(i[0])?i.concat(["center"]):r.test(i[0])?["center"].concat(i):["center","center"]:i)[0]=o.test(i[0])?i[0]:"center",i[1]=r.test(i[1])?i[1]:"center",t=l.exec(i[0]),e=l.exec(i[1]),z[this]=[t?t[0]:0,e?e[0]:0],p[this]=[u.exec(i[0])[0],u.exec(i[1])[0]]}),1===b.length&&(b[1]=b[0]),"right"===p.at[0]?m.left+=c:"center"===p.at[0]&&(m.left+=c/2),"bottom"===p.at[1]?m.top+=f:"center"===p.at[1]&&(m.top+=f/2),d=E(z.at,c,f),m.left+=d[0],m.top+=d[1],this.each(function(){var i,t,h=y(this),a=h.outerWidth(),r=h.outerHeight(),e=H(this,"marginLeft"),s=H(this,"marginTop"),n=a+e+H(this,"marginRight")+v.width,o=r+s+H(this,"marginBottom")+v.height,l=y.extend({},m),u=E(z.my,h.outerWidth(),h.outerHeight());"right"===p.my[0]?l.left-=a:"center"===p.my[0]&&(l.left-=a/2),"bottom"===p.my[1]?l.top-=r:"center"===p.my[1]&&(l.top-=r/2),l.left+=u[0],l.top+=u[1],i={marginLeft:e,marginTop:s},y.each(["left","top"],function(t,e){y.ui.position[b[t]]&&y.ui.position[b[t]][e](l,{targetWidth:c,targetHeight:f,elemWidth:a,elemHeight:r,collisionPosition:i,collisionWidth:n,collisionHeight:o,offset:[d[0]+u[0],d[1]+u[1]],my:p.my,at:p.at,within:w,elem:h})}),p.using&&(t=function(t){var e=g.left-l.left,i=e+c-a,s=g.top-l.top,n=s+f-r,o={target:{element:_,left:g.left,top:g.top,width:c,height:f},element:{element:h,left:l.left,top:l.top,width:a,height:r},horizontal:i<0?"left":0<e?"right":"center",vertical:n<0?"top":0<s?"bottom":"middle"};c<a&&D(e+i)<c&&(o.horizontal="center"),f<r&&D(s+n)<f&&(o.vertical="middle"),x(D(e),D(i))>x(D(s),D(n))?o.important="horizontal":o.important="vertical",p.using.call(this,t,o)}),h.offset(y.extend(l,{using:t}))})},y.ui.position={fit:{left:function(t,e){var i=e.within,s=i.isWindow?i.scrollLeft:i.offset.left,n=i.width,o=t.left-e.collisionPosition.marginLeft,h=s-o,a=o+e.collisionWidth-n-s;e.collisionWidth>n?0<h&&a<=0?(i=t.left+h+e.collisionWidth-n-s,t.left+=h-i):t.left=!(0<a&&h<=0)&&a<h?s+n-e.collisionWidth:s:0<h?t.left+=h:0<a?t.left-=a:t.left=x(t.left-o,t.left)},top:function(t,e){var i=e.within,s=i.isWindow?i.scrollTop:i.offset.top,n=e.within.height,o=t.top-e.collisionPosition.marginTop,h=s-o,a=o+e.collisionHeight-n-s;e.collisionHeight>n?0<h&&a<=0?(i=t.top+h+e.collisionHeight-n-s,t.top+=h-i):t.top=!(0<a&&h<=0)&&a<h?s+n-e.collisionHeight:s:0<h?t.top+=h:0<a?t.top-=a:t.top=x(t.top-o,t.top)}},flip:{left:function(t,e){var i=e.within,s=i.offset.left+i.scrollLeft,n=i.width,o=i.isWindow?i.scrollLeft:i.offset.left,h=t.left-e.collisionPosition.marginLeft,a=h-o,r=h+e.collisionWidth-n-o,l="left"===e.my[0]?-e.elemWidth:"right"===e.my[0]?e.elemWidth:0,i="left"===e.at[0]?e.targetWidth:"right"===e.at[0]?-e.targetWidth:0,h=-2*e.offset[0];a<0?((s=t.left+l+i+h+e.collisionWidth-n-s)<0||s<D(a))&&(t.left+=l+i+h):0<r&&(0<(o=t.left-e.collisionPosition.marginLeft+l+i+h-o)||D(o)<r)&&(t.left+=l+i+h)},top:function(t,e){var i=e.within,s=i.offset.top+i.scrollTop,n=i.height,o=i.isWindow?i.scrollTop:i.offset.top,h=t.top-e.collisionPosition.marginTop,a=h-o,r=h+e.collisionHeight-n-o,l="top"===e.my[1]?-e.elemHeight:"bottom"===e.my[1]?e.elemHeight:0,i="top"===e.at[1]?e.targetHeight:"bottom"===e.at[1]?-e.targetHeight:0,h=-2*e.offset[1];a<0?((s=t.top+l+i+h+e.collisionHeight-n-s)<0||s<D(a))&&(t.top+=l+i+h):0<r&&(0<(o=t.top-e.collisionPosition.marginTop+l+i+h-o)||D(o)<r)&&(t.top+=l+i+h)}},flipfit:{left:function(){y.ui.position.flip.left.apply(this,arguments),y.ui.position.fit.left.apply(this,arguments)},top:function(){y.ui.position.flip.top.apply(this,arguments),y.ui.position.fit.top.apply(this,arguments)}}};var t;y.ui.position,y.extend(y.expr.pseudos,{data:y.expr.createPseudo?y.expr.createPseudo(function(e){return function(t){return!!y.data(t,e)}}):function(t,e,i){return!!y.data(t,i[3])}}),y.fn.extend({disableSelection:(t="onselectstart"in document.createElement("div")?"selectstart":"mousedown",function(){return this.on(t+".ui-disableSelection",function(t){t.preventDefault()})}),enableSelection:function(){return this.off(".ui-disableSelection")}});y.ui.focusable=function(t,e){var i,s,n,o,h=t.nodeName.toLowerCase();return"area"===h?(s=(i=t.parentNode).name,!(!t.href||!s||"map"!==i.nodeName.toLowerCase())&&(0<(s=y("img[usemap='#"+s+"']")).length&&s.is(":visible"))):(/^(input|select|textarea|button|object)$/.test(h)?(n=!t.disabled)&&(o=y(t).closest("fieldset")[0])&&(n=!o.disabled):n="a"===h&&t.href||e,n&&y(t).is(":visible")&&function(t){var e=t.css("visibility");for(;"inherit"===e;)t=t.parent(),e=t.css("visibility");return"visible"===e}(y(t)))},y.extend(y.expr.pseudos,{focusable:function(t){return y.ui.focusable(t,null!=y.attr(t,"tabindex"))}});var e,d;y.ui.focusable,y.fn._form=function(){return"string"==typeof this[0].form?this.closest("form"):y(this[0].form)},y.ui.formResetMixin={_formResetHandler:function(){var e=y(this);setTimeout(function(){var t=e.data("ui-form-reset-instances");y.each(t,function(){this.refresh()})})},_bindFormResetHandler:function(){var t;this.form=this.element._form(),this.form.length&&((t=this.form.data("ui-form-reset-instances")||[]).length||this.form.on("reset.ui-form-reset",this._formResetHandler),t.push(this),this.form.data("ui-form-reset-instances",t))},_unbindFormResetHandler:function(){var t;this.form.length&&((t=this.form.data("ui-form-reset-instances")).splice(y.inArray(this,t),1),t.length?this.form.data("ui-form-reset-instances",t):this.form.removeData("ui-form-reset-instances").off("reset.ui-form-reset"))}};y.expr.pseudos||(y.expr.pseudos=y.expr[":"]),y.uniqueSort||(y.uniqueSort=y.unique),y.escapeSelector||(e=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\x80-\uFFFF\w-]/g,d=function(t,e){return e?"\0"===t?"�":t.slice(0,-1)+"\\"+t.charCodeAt(t.length-1).toString(16)+" ":"\\"+t},y.escapeSelector=function(t){return(t+"").replace(e,d)}),y.fn.even&&y.fn.odd||y.fn.extend({even:function(){return this.filter(function(t){return t%2==0})},odd:function(){return this.filter(function(t){return t%2==1})}});y.ui.keyCode={BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38},y.fn.labels=function(){var t,e,i;return this.length?this[0].labels&&this[0].labels.length?this.pushStack(this[0].labels):(e=this.eq(0).parents("label"),(t=this.attr("id"))&&(i=(i=this.eq(0).parents().last()).add((i.length?i:this).siblings()),t="label[for='"+y.escapeSelector(t)+"']",e=e.add(i.find(t).addBack(t))),this.pushStack(e)):this.pushStack([])},y.fn.scrollParent=function(t){var e=this.css("position"),i="absolute"===e,s=t?/(auto|scroll|hidden)/:/(auto|scroll)/,t=this.parents().filter(function(){var t=y(this);return(!i||"static"!==t.css("position"))&&s.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==e&&t.length?t:y(this[0].ownerDocument||document)},y.extend(y.expr.pseudos,{tabbable:function(t){var e=y.attr(t,"tabindex"),i=null!=e;return(!i||0<=e)&&y.ui.focusable(t,i)}}),y.fn.extend({uniqueId:(c=0,function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++c)})}),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&y(this).removeAttr("id")})}}),y.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase());var c,f=!1;y(document).on("mouseup",function(){f=!1});y.widget("ui.mouse",{version:"1.13.2",options:{cancel:"input, textarea, button, select, option",distance:1,delay:0},_mouseInit:function(){var e=this;this.element.on("mousedown."+this.widgetName,function(t){return e._mouseDown(t)}).on("click."+this.widgetName,function(t){if(!0===y.data(t.target,e.widgetName+".preventClickEvent"))return y.removeData(t.target,e.widgetName+".preventClickEvent"),t.stopImmediatePropagation(),!1}),this.started=!1},_mouseDestroy:function(){this.element.off("."+this.widgetName),this._mouseMoveDelegate&&this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!f){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var e=this,i=1===t.which,s=!("string"!=typeof this.options.cancel||!t.target.nodeName)&&y(t.target).closest(this.options.cancel).length;return i&&!s&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){e.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(t),!this._mouseStarted)?(t.preventDefault(),!0):(!0===y.data(t.target,this.widgetName+".preventClickEvent")&&y.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(t){return e._mouseMove(t)},this._mouseUpDelegate=function(t){return e._mouseUp(t)},this.document.on("mousemove."+this.widgetName,this._mouseMoveDelegate).on("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),f=!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(y.ui.ie&&(!document.documentMode||document.documentMode<9)&&!t.button)return this._mouseUp(t);if(!t.which)if(t.originalEvent.altKey||t.originalEvent.ctrlKey||t.originalEvent.metaKey||t.originalEvent.shiftKey)this.ignoreMissingWhich=!0;else if(!this.ignoreMissingWhich)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(this._mouseDownEvent,t),this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&y.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),this._mouseDelayTimer&&(clearTimeout(this._mouseDelayTimer),delete this._mouseDelayTimer),this.ignoreMissingWhich=!1,f=!1,t.preventDefault()},_mouseDistanceMet:function(t){return Math.max(Math.abs(this._mouseDownEvent.pageX-t.pageX),Math.abs(this._mouseDownEvent.pageY-t.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),y.ui.plugin={add:function(t,e,i){var s,n=y.ui[t].prototype;for(s in i)n.plugins[s]=n.plugins[s]||[],n.plugins[s].push([e,i[s]])},call:function(t,e,i,s){var n,o=t.plugins[e];if(o&&(s||t.element[0].parentNode&&11!==t.element[0].parentNode.nodeType))for(n=0;n<o.length;n++)t.options[o[n][0]]&&o[n][1].apply(t.element,i)}};y.widget("ui.resizable",y.ui.mouse,{version:"1.13.2",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,classes:{"ui-resizable-se":"ui-icon ui-icon-gripsmall-diagonal-se"},containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(t){return parseFloat(t)||0},_isNumber:function(t){return!isNaN(parseFloat(t))},_hasScroll:function(t,e){if("hidden"===y(t).css("overflow"))return!1;var i=e&&"left"===e?"scrollLeft":"scrollTop",e=!1;if(0<t[i])return!0;try{t[i]=1,e=0<t[i],t[i]=0}catch(t){}return e},_create:function(){var t,e=this.options,i=this;this._addClass("ui-resizable"),y.extend(this,{_aspectRatio:!!e.aspectRatio,aspectRatio:e.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:e.helper||e.ghost||e.animate?e.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(y("<div class='ui-wrapper'></div>").css({overflow:"hidden",position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,t={marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom"),marginLeft:this.originalElement.css("marginLeft")},this.element.css(t),this.originalElement.css("margin",0),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css(t),this._proportionallyResize()),this._setupHandles(),e.autoHide&&y(this.element).on("mouseenter",function(){e.disabled||(i._removeClass("ui-resizable-autohide"),i._handles.show())}).on("mouseleave",function(){e.disabled||i.resizing||(i._addClass("ui-resizable-autohide"),i._handles.hide())}),this._mouseInit()},_destroy:function(){this._mouseDestroy(),this._addedHandles.remove();function t(t){y(t).removeData("resizable").removeData("ui-resizable").off(".resizable")}var e;return this.elementIsWrapper&&(t(this.element),e=this.element,this.originalElement.css({position:e.css("position"),width:e.outerWidth(),height:e.outerHeight(),top:e.css("top"),left:e.css("left")}).insertAfter(e),e.remove()),this.originalElement.css("resize",this.originalResizeStyle),t(this.originalElement),this},_setOption:function(t,e){switch(this._super(t,e),t){case"handles":this._removeHandles(),this._setupHandles();break;case"aspectRatio":this._aspectRatio=!!e}},_setupHandles:function(){var t,e,i,s,n,o=this.options,h=this;if(this.handles=o.handles||(y(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=y(),this._addedHandles=y(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),i=this.handles.split(","),this.handles={},e=0;e<i.length;e++)s="ui-resizable-"+(t=String.prototype.trim.call(i[e])),n=y("<div>"),this._addClass(n,"ui-resizable-handle "+s),n.css({zIndex:o.zIndex}),this.handles[t]=".ui-resizable-"+t,this.element.children(this.handles[t]).length||(this.element.append(n),this._addedHandles=this._addedHandles.add(n));this._renderAxis=function(t){var e,i,s;for(e in t=t||this.element,this.handles)this.handles[e].constructor===String?this.handles[e]=this.element.children(this.handles[e]).first().show():(this.handles[e].jquery||this.handles[e].nodeType)&&(this.handles[e]=y(this.handles[e]),this._on(this.handles[e],{mousedown:h._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(i=y(this.handles[e],this.element),s=/sw|ne|nw|se|n|s/.test(e)?i.outerHeight():i.outerWidth(),i=["padding",/ne|nw|n/.test(e)?"Top":/se|sw|s/.test(e)?"Bottom":/^e$/.test(e)?"Right":"Left"].join(""),t.css(i,s),this._proportionallyResize()),this._handles=this._handles.add(this.handles[e])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.on("mouseover",function(){h.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),h.axis=n&&n[1]?n[1]:"se")}),o.autoHide&&(this._handles.hide(),this._addClass("ui-resizable-autohide"))},_removeHandles:function(){this._addedHandles.remove()},_mouseCapture:function(t){var e,i,s=!1;for(e in this.handles)(i=y(this.handles[e])[0])!==t.target&&!y.contains(i,t.target)||(s=!0);return!this.options.disabled&&s},_mouseStart:function(t){var e,i,s=this.options,n=this.element;return this.resizing=!0,this._renderProxy(),e=this._num(this.helper.css("left")),i=this._num(this.helper.css("top")),s.containment&&(e+=y(s.containment).scrollLeft()||0,i+=y(s.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:e,top:i},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:n.width(),height:n.height()},this.originalSize=this._helper?{width:n.outerWidth(),height:n.outerHeight()}:{width:n.width(),height:n.height()},this.sizeDiff={width:n.outerWidth()-n.width(),height:n.outerHeight()-n.height()},this.originalPosition={left:e,top:i},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof s.aspectRatio?s.aspectRatio:this.originalSize.width/this.originalSize.height||1,s=y(".ui-resizable-"+this.axis).css("cursor"),y("body").css("cursor","auto"===s?this.axis+"-resize":s),this._addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var e=this.originalMousePosition,i=this.axis,s=t.pageX-e.left||0,e=t.pageY-e.top||0,i=this._change[i];return this._updatePrevProperties(),i&&(e=i.apply(this,[t,s,e]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(e=this._updateRatio(e,t)),e=this._respectSize(e,t),this._updateCache(e),this._propagate("resize",t),e=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),y.isEmptyObject(e)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges())),!1},_mouseStop:function(t){this.resizing=!1;var e,i,s,n=this.options,o=this;return this._helper&&(s=(e=(i=this._proportionallyResizeElements).length&&/textarea/i.test(i[0].nodeName))&&this._hasScroll(i[0],"left")?0:o.sizeDiff.height,i=e?0:o.sizeDiff.width,e={width:o.helper.width()-i,height:o.helper.height()-s},i=parseFloat(o.element.css("left"))+(o.position.left-o.originalPosition.left)||null,s=parseFloat(o.element.css("top"))+(o.position.top-o.originalPosition.top)||null,n.animate||this.element.css(y.extend(e,{top:s,left:i})),o.helper.height(o.size.height),o.helper.width(o.size.width),this._helper&&!n.animate&&this._proportionallyResize()),y("body").css("cursor","auto"),this._removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var t={};return this.position.top!==this.prevPosition.top&&(t.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(t.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(t.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(t.height=this.size.height+"px"),this.helper.css(t),t},_updateVirtualBoundaries:function(t){var e,i,s=this.options,n={minWidth:this._isNumber(s.minWidth)?s.minWidth:0,maxWidth:this._isNumber(s.maxWidth)?s.maxWidth:1/0,minHeight:this._isNumber(s.minHeight)?s.minHeight:0,maxHeight:this._isNumber(s.maxHeight)?s.maxHeight:1/0};(this._aspectRatio||t)&&(e=n.minHeight*this.aspectRatio,i=n.minWidth/this.aspectRatio,s=n.maxHeight*this.aspectRatio,t=n.maxWidth/this.aspectRatio,e>n.minWidth&&(n.minWidth=e),i>n.minHeight&&(n.minHeight=i),s<n.maxWidth&&(n.maxWidth=s),t<n.maxHeight&&(n.maxHeight=t)),this._vBoundaries=n},_updateCache:function(t){this.offset=this.helper.offset(),this._isNumber(t.left)&&(this.position.left=t.left),this._isNumber(t.top)&&(this.position.top=t.top),this._isNumber(t.height)&&(this.size.height=t.height),this._isNumber(t.width)&&(this.size.width=t.width)},_updateRatio:function(t){var e=this.position,i=this.size,s=this.axis;return this._isNumber(t.height)?t.width=t.height*this.aspectRatio:this._isNumber(t.width)&&(t.height=t.width/this.aspectRatio),"sw"===s&&(t.left=e.left+(i.width-t.width),t.top=null),"nw"===s&&(t.top=e.top+(i.height-t.height),t.left=e.left+(i.width-t.width)),t},_respectSize:function(t){var e=this._vBoundaries,i=this.axis,s=this._isNumber(t.width)&&e.maxWidth&&e.maxWidth<t.width,n=this._isNumber(t.height)&&e.maxHeight&&e.maxHeight<t.height,o=this._isNumber(t.width)&&e.minWidth&&e.minWidth>t.width,h=this._isNumber(t.height)&&e.minHeight&&e.minHeight>t.height,a=this.originalPosition.left+this.originalSize.width,r=this.originalPosition.top+this.originalSize.height,l=/sw|nw|w/.test(i),i=/nw|ne|n/.test(i);return o&&(t.width=e.minWidth),h&&(t.height=e.minHeight),s&&(t.width=e.maxWidth),n&&(t.height=e.maxHeight),o&&l&&(t.left=a-e.minWidth),s&&l&&(t.left=a-e.maxWidth),h&&i&&(t.top=r-e.minHeight),n&&i&&(t.top=r-e.maxHeight),t.width||t.height||t.left||!t.top?t.width||t.height||t.top||!t.left||(t.left=null):t.top=null,t},_getPaddingPlusBorderDimensions:function(t){for(var e=0,i=[],s=[t.css("borderTopWidth"),t.css("borderRightWidth"),t.css("borderBottomWidth"),t.css("borderLeftWidth")],n=[t.css("paddingTop"),t.css("paddingRight"),t.css("paddingBottom"),t.css("paddingLeft")];e<4;e++)i[e]=parseFloat(s[e])||0,i[e]+=parseFloat(n[e])||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var t,e=0,i=this.helper||this.element;e<this._proportionallyResizeElements.length;e++)t=this._proportionallyResizeElements[e],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(t)),t.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,e=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||y("<div></div>").css({overflow:"hidden"}),this._addClass(this.helper,this._helper),this.helper.css({width:this.element.outerWidth(),height:this.element.outerHeight(),position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++e.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(t,e){return{width:this.originalSize.width+e}},w:function(t,e){var i=this.originalSize;return{left:this.originalPosition.left+e,width:i.width-e}},n:function(t,e,i){var s=this.originalSize;return{top:this.originalPosition.top+i,height:s.height-i}},s:function(t,e,i){return{height:this.originalSize.height+i}},se:function(t,e,i){return y.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},sw:function(t,e,i){return y.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,e,i]))},ne:function(t,e,i){return y.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},nw:function(t,e,i){return y.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,e,i]))}},_propagate:function(t,e){y.ui.plugin.call(this,t,[e,this.ui()]),"resize"!==t&&this._trigger(t,e,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),y.ui.plugin.add("resizable","animate",{stop:function(e){var i=y(this).resizable("instance"),t=i.options,s=i._proportionallyResizeElements,n=s.length&&/textarea/i.test(s[0].nodeName),o=n&&i._hasScroll(s[0],"left")?0:i.sizeDiff.height,h=n?0:i.sizeDiff.width,n={width:i.size.width-h,height:i.size.height-o},h=parseFloat(i.element.css("left"))+(i.position.left-i.originalPosition.left)||null,o=parseFloat(i.element.css("top"))+(i.position.top-i.originalPosition.top)||null;i.element.animate(y.extend(n,o&&h?{top:o,left:h}:{}),{duration:t.animateDuration,easing:t.animateEasing,step:function(){var t={width:parseFloat(i.element.css("width")),height:parseFloat(i.element.css("height")),top:parseFloat(i.element.css("top")),left:parseFloat(i.element.css("left"))};s&&s.length&&y(s[0]).css({width:t.width,height:t.height}),i._updateCache(t),i._propagate("resize",e)}})}}),y.ui.plugin.add("resizable","containment",{start:function(){var i,s,n=y(this).resizable("instance"),t=n.options,e=n.element,o=t.containment,h=o instanceof y?o.get(0):/parent/.test(o)?e.parent().get(0):o;h&&(n.containerElement=y(h),/document/.test(o)||o===document?(n.containerOffset={left:0,top:0},n.containerPosition={left:0,top:0},n.parentData={element:y(document),left:0,top:0,width:y(document).width(),height:y(document).height()||document.body.parentNode.scrollHeight}):(i=y(h),s=[],y(["Top","Right","Left","Bottom"]).each(function(t,e){s[t]=n._num(i.css("padding"+e))}),n.containerOffset=i.offset(),n.containerPosition=i.position(),n.containerSize={height:i.innerHeight()-s[3],width:i.innerWidth()-s[1]},t=n.containerOffset,e=n.containerSize.height,o=n.containerSize.width,o=n._hasScroll(h,"left")?h.scrollWidth:o,e=n._hasScroll(h)?h.scrollHeight:e,n.parentData={element:h,left:t.left,top:t.top,width:o,height:e}))},resize:function(t){var e=y(this).resizable("instance"),i=e.options,s=e.containerOffset,n=e.position,o=e._aspectRatio||t.shiftKey,h={top:0,left:0},a=e.containerElement,t=!0;a[0]!==document&&/static/.test(a.css("position"))&&(h=s),n.left<(e._helper?s.left:0)&&(e.size.width=e.size.width+(e._helper?e.position.left-s.left:e.position.left-h.left),o&&(e.size.height=e.size.width/e.aspectRatio,t=!1),e.position.left=i.helper?s.left:0),n.top<(e._helper?s.top:0)&&(e.size.height=e.size.height+(e._helper?e.position.top-s.top:e.position.top),o&&(e.size.width=e.size.height*e.aspectRatio,t=!1),e.position.top=e._helper?s.top:0),i=e.containerElement.get(0)===e.element.parent().get(0),n=/relative|absolute/.test(e.containerElement.css("position")),i&&n?(e.offset.left=e.parentData.left+e.position.left,e.offset.top=e.parentData.top+e.position.top):(e.offset.left=e.element.offset().left,e.offset.top=e.element.offset().top),n=Math.abs(e.sizeDiff.width+(e._helper?e.offset.left-h.left:e.offset.left-s.left)),s=Math.abs(e.sizeDiff.height+(e._helper?e.offset.top-h.top:e.offset.top-s.top)),n+e.size.width>=e.parentData.width&&(e.size.width=e.parentData.width-n,o&&(e.size.height=e.size.width/e.aspectRatio,t=!1)),s+e.size.height>=e.parentData.height&&(e.size.height=e.parentData.height-s,o&&(e.size.width=e.size.height*e.aspectRatio,t=!1)),t||(e.position.left=e.prevPosition.left,e.position.top=e.prevPosition.top,e.size.width=e.prevSize.width,e.size.height=e.prevSize.height)},stop:function(){var t=y(this).resizable("instance"),e=t.options,i=t.containerOffset,s=t.containerPosition,n=t.containerElement,o=y(t.helper),h=o.offset(),a=o.outerWidth()-t.sizeDiff.width,o=o.outerHeight()-t.sizeDiff.height;t._helper&&!e.animate&&/relative/.test(n.css("position"))&&y(this).css({left:h.left-s.left-i.left,width:a,height:o}),t._helper&&!e.animate&&/static/.test(n.css("position"))&&y(this).css({left:h.left-s.left-i.left,width:a,height:o})}}),y.ui.plugin.add("resizable","alsoResize",{start:function(){var t=y(this).resizable("instance").options;y(t.alsoResize).each(function(){var t=y(this);t.data("ui-resizable-alsoresize",{width:parseFloat(t.width()),height:parseFloat(t.height()),left:parseFloat(t.css("left")),top:parseFloat(t.css("top"))})})},resize:function(t,i){var e=y(this).resizable("instance"),s=e.options,n=e.originalSize,o=e.originalPosition,h={height:e.size.height-n.height||0,width:e.size.width-n.width||0,top:e.position.top-o.top||0,left:e.position.left-o.left||0};y(s.alsoResize).each(function(){var t=y(this),s=y(this).data("ui-resizable-alsoresize"),n={},e=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];y.each(e,function(t,e){var i=(s[e]||0)+(h[e]||0);i&&0<=i&&(n[e]=i||null)}),t.css(n)})},stop:function(){y(this).removeData("ui-resizable-alsoresize")}}),y.ui.plugin.add("resizable","ghost",{start:function(){var t=y(this).resizable("instance"),e=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:e.height,width:e.width,margin:0,left:0,top:0}),t._addClass(t.ghost,"ui-resizable-ghost"),!1!==y.uiBackCompat&&"string"==typeof t.options.ghost&&t.ghost.addClass(this.options.ghost),t.ghost.appendTo(t.helper)},resize:function(){var t=y(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=y(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),y.ui.plugin.add("resizable","grid",{resize:function(){var t,e=y(this).resizable("instance"),i=e.options,s=e.size,n=e.originalSize,o=e.originalPosition,h=e.axis,a="number"==typeof i.grid?[i.grid,i.grid]:i.grid,r=a[0]||1,l=a[1]||1,u=Math.round((s.width-n.width)/r)*r,p=Math.round((s.height-n.height)/l)*l,d=n.width+u,c=n.height+p,f=i.maxWidth&&i.maxWidth<d,g=i.maxHeight&&i.maxHeight<c,m=i.minWidth&&i.minWidth>d,s=i.minHeight&&i.minHeight>c;i.grid=a,m&&(d+=r),s&&(c+=l),f&&(d-=r),g&&(c-=l),/^(se|s|e)$/.test(h)?(e.size.width=d,e.size.height=c):/^(ne)$/.test(h)?(e.size.width=d,e.size.height=c,e.position.top=o.top-p):/^(sw)$/.test(h)?(e.size.width=d,e.size.height=c,e.position.left=o.left-u):((c-l<=0||d-r<=0)&&(t=e._getPaddingPlusBorderDimensions(this)),0<c-l?(e.size.height=c,e.position.top=o.top-p):(c=l-t.height,e.size.height=c,e.position.top=o.top+n.height-c),0<d-r?(e.size.width=d,e.position.left=o.left-u):(d=r-t.width,e.size.width=d,e.position.left=o.left+n.width-d))}});y.ui.resizable});/**
- * Copyright (c) 2007 Ariel Flesler - aflesler ○ gmail • com | https://github.com/flesler
- * Licensed under MIT
- * @author Ariel Flesler
- * @version 2.1.2
- */
-;(function(f){"use strict";"function"===typeof define&&define.amd?define(["jquery"],f):"undefined"!==typeof module&&module.exports?module.exports=f(require("jquery")):f(jQuery)})(function($){"use strict";function n(a){return!a.nodeName||-1!==$.inArray(a.nodeName.toLowerCase(),["iframe","#document","html","body"])}function h(a){return $.isFunction(a)||$.isPlainObject(a)?a:{top:a,left:a}}var p=$.scrollTo=function(a,d,b){return $(window).scrollTo(a,d,b)};p.defaults={axis:"xy",duration:0,limit:!0};$.fn.scrollTo=function(a,d,b){"object"=== typeof d&&(b=d,d=0);"function"===typeof b&&(b={onAfter:b});"max"===a&&(a=9E9);b=$.extend({},p.defaults,b);d=d||b.duration;var u=b.queue&&1<b.axis.length;u&&(d/=2);b.offset=h(b.offset);b.over=h(b.over);return this.each(function(){function k(a){var k=$.extend({},b,{queue:!0,duration:d,complete:a&&function(){a.call(q,e,b)}});r.animate(f,k)}if(null!==a){var l=n(this),q=l?this.contentWindow||window:this,r=$(q),e=a,f={},t;switch(typeof e){case "number":case "string":if(/^([+-]=?)?\d+(\.\d+)?(px|%)?$/.test(e)){e= h(e);break}e=l?$(e):$(e,q);case "object":if(e.length===0)return;if(e.is||e.style)t=(e=$(e)).offset()}var v=$.isFunction(b.offset)&&b.offset(q,e)||b.offset;$.each(b.axis.split(""),function(a,c){var d="x"===c?"Left":"Top",m=d.toLowerCase(),g="scroll"+d,h=r[g](),n=p.max(q,c);t?(f[g]=t[m]+(l?0:h-r.offset()[m]),b.margin&&(f[g]-=parseInt(e.css("margin"+d),10)||0,f[g]-=parseInt(e.css("border"+d+"Width"),10)||0),f[g]+=v[m]||0,b.over[m]&&(f[g]+=e["x"===c?"width":"height"]()*b.over[m])):(d=e[m],f[g]=d.slice&& "%"===d.slice(-1)?parseFloat(d)/100*n:d);b.limit&&/^\d+$/.test(f[g])&&(f[g]=0>=f[g]?0:Math.min(f[g],n));!a&&1<b.axis.length&&(h===f[g]?f={}:u&&(k(b.onAfterFirst),f={}))});k(b.onAfter)}})};p.max=function(a,d){var b="x"===d?"Width":"Height",h="scroll"+b;if(!n(a))return a[h]-$(a)[b.toLowerCase()]();var b="client"+b,k=a.ownerDocument||a.document,l=k.documentElement,k=k.body;return Math.max(l[h],k[h])-Math.min(l[b],k[b])};$.Tween.propHooks.scrollLeft=$.Tween.propHooks.scrollTop={get:function(a){return $(a.elem)[a.prop]()}, set:function(a){var d=this.get(a);if(a.options.interrupt&&a._last&&a._last!==d)return $(a.elem).stop();var b=Math.round(a.now);d!==b&&($(a.elem)[a.prop](b),a._last=this.get(a))}};return p});
-/*!
- PowerTip v1.3.1 (2018-04-15)
- https://stevenbenner.github.io/jquery-powertip/
- Copyright (c) 2018 Steven Benner (http://stevenbenner.com/).
- Released under MIT license.
- https://raw.github.com/stevenbenner/jquery-powertip/master/LICENSE.txt
-*/
-(function(root,factory){if(typeof define==="function"&&define.amd){define(["jquery"],factory)}else if(typeof module==="object"&&module.exports){module.exports=factory(require("jquery"))}else{factory(root.jQuery)}})(this,function($){var $document=$(document),$window=$(window),$body=$("body");var DATA_DISPLAYCONTROLLER="displayController",DATA_HASACTIVEHOVER="hasActiveHover",DATA_FORCEDOPEN="forcedOpen",DATA_HASMOUSEMOVE="hasMouseMove",DATA_MOUSEONTOTIP="mouseOnToPopup",DATA_ORIGINALTITLE="originalTitle",DATA_POWERTIP="powertip",DATA_POWERTIPJQ="powertipjq",DATA_POWERTIPTARGET="powertiptarget",EVENT_NAMESPACE=".powertip",RAD2DEG=180/Math.PI,MOUSE_EVENTS=["click","dblclick","mousedown","mouseup","mousemove","mouseover","mouseout","mouseenter","mouseleave","contextmenu"];var session={tooltips:null,isTipOpen:false,isFixedTipOpen:false,isClosing:false,tipOpenImminent:false,activeHover:null,currentX:0,currentY:0,previousX:0,previousY:0,desyncTimeout:null,closeDelayTimeout:null,mouseTrackingActive:false,delayInProgress:false,windowWidth:0,windowHeight:0,scrollTop:0,scrollLeft:0};var Collision={none:0,top:1,bottom:2,left:4,right:8};$.fn.powerTip=function(opts,arg){var targetElements=this,options,tipController;if(!targetElements.length){return targetElements}if($.type(opts)==="string"&&$.powerTip[opts]){return $.powerTip[opts].call(targetElements,targetElements,arg)}options=$.extend({},$.fn.powerTip.defaults,opts);tipController=new TooltipController(options);initTracking();targetElements.each(function elementSetup(){var $this=$(this),dataPowertip=$this.data(DATA_POWERTIP),dataElem=$this.data(DATA_POWERTIPJQ),dataTarget=$this.data(DATA_POWERTIPTARGET),title=$this.attr("title");if(!dataPowertip&&!dataTarget&&!dataElem&&title){$this.data(DATA_POWERTIP,title);$this.data(DATA_ORIGINALTITLE,title);$this.removeAttr("title")}$this.data(DATA_DISPLAYCONTROLLER,new DisplayController($this,options,tipController))});if(!options.manual){$.each(options.openEvents,function(idx,evt){if($.inArray(evt,options.closeEvents)>-1){targetElements.on(evt+EVENT_NAMESPACE,function elementToggle(event){$.powerTip.toggle(this,event)})}else{targetElements.on(evt+EVENT_NAMESPACE,function elementOpen(event){$.powerTip.show(this,event)})}});$.each(options.closeEvents,function(idx,evt){if($.inArray(evt,options.openEvents)<0){targetElements.on(evt+EVENT_NAMESPACE,function elementClose(event){$.powerTip.hide(this,!isMouseEvent(event))})}});targetElements.on("keydown"+EVENT_NAMESPACE,function elementKeyDown(event){if(event.keyCode===27){$.powerTip.hide(this,true)}})}return targetElements};$.fn.powerTip.defaults={fadeInTime:200,fadeOutTime:100,followMouse:false,popupId:"powerTip",popupClass:null,intentSensitivity:7,intentPollInterval:100,closeDelay:100,placement:"n",smartPlacement:false,offset:10,mouseOnToPopup:false,manual:false,openEvents:["mouseenter","focus"],closeEvents:["mouseleave","blur"]};$.fn.powerTip.smartPlacementLists={n:["n","ne","nw","s"],e:["e","ne","se","w","nw","sw","n","s","e"],s:["s","se","sw","n"],w:["w","nw","sw","e","ne","se","n","s","w"],nw:["nw","w","sw","n","s","se","nw"],ne:["ne","e","se","n","s","sw","ne"],sw:["sw","w","nw","s","n","ne","sw"],se:["se","e","ne","s","n","nw","se"],"nw-alt":["nw-alt","n","ne-alt","sw-alt","s","se-alt","w","e"],"ne-alt":["ne-alt","n","nw-alt","se-alt","s","sw-alt","e","w"],"sw-alt":["sw-alt","s","se-alt","nw-alt","n","ne-alt","w","e"],"se-alt":["se-alt","s","sw-alt","ne-alt","n","nw-alt","e","w"]};$.powerTip={show:function apiShowTip(element,event){if(isMouseEvent(event)){trackMouse(event);session.previousX=event.pageX;session.previousY=event.pageY;$(element).data(DATA_DISPLAYCONTROLLER).show()}else{$(element).first().data(DATA_DISPLAYCONTROLLER).show(true,true)}return element},reposition:function apiResetPosition(element){$(element).first().data(DATA_DISPLAYCONTROLLER).resetPosition();return element},hide:function apiCloseTip(element,immediate){var displayController;immediate=element?immediate:true;if(element){displayController=$(element).first().data(DATA_DISPLAYCONTROLLER)}else if(session.activeHover){displayController=session.activeHover.data(DATA_DISPLAYCONTROLLER)}if(displayController){displayController.hide(immediate)}return element},toggle:function apiToggle(element,event){if(session.activeHover&&session.activeHover.is(element)){$.powerTip.hide(element,!isMouseEvent(event))}else{$.powerTip.show(element,event)}return element}};$.powerTip.showTip=$.powerTip.show;$.powerTip.closeTip=$.powerTip.hide;function CSSCoordinates(){var me=this;me.top="auto";me.left="auto";me.right="auto";me.bottom="auto";me.set=function(property,value){if($.isNumeric(value)){me[property]=Math.round(value)}}}function DisplayController(element,options,tipController){var hoverTimer=null,myCloseDelay=null;function openTooltip(immediate,forceOpen){cancelTimer();if(!element.data(DATA_HASACTIVEHOVER)){if(!immediate){session.tipOpenImminent=true;hoverTimer=setTimeout(function intentDelay(){hoverTimer=null;checkForIntent()},options.intentPollInterval)}else{if(forceOpen){element.data(DATA_FORCEDOPEN,true)}closeAnyDelayed();tipController.showTip(element)}}else{cancelClose()}}function closeTooltip(disableDelay){if(myCloseDelay){myCloseDelay=session.closeDelayTimeout=clearTimeout(myCloseDelay);session.delayInProgress=false}cancelTimer();session.tipOpenImminent=false;if(element.data(DATA_HASACTIVEHOVER)){element.data(DATA_FORCEDOPEN,false);if(!disableDelay){session.delayInProgress=true;session.closeDelayTimeout=setTimeout(function closeDelay(){session.closeDelayTimeout=null;tipController.hideTip(element);session.delayInProgress=false;myCloseDelay=null},options.closeDelay);myCloseDelay=session.closeDelayTimeout}else{tipController.hideTip(element)}}}function checkForIntent(){var xDifference=Math.abs(session.previousX-session.currentX),yDifference=Math.abs(session.previousY-session.currentY),totalDifference=xDifference+yDifference;if(totalDifference<options.intentSensitivity){cancelClose();closeAnyDelayed();tipController.showTip(element)}else{session.previousX=session.currentX;session.previousY=session.currentY;openTooltip()}}function cancelTimer(stopClose){hoverTimer=clearTimeout(hoverTimer);if(session.closeDelayTimeout&&myCloseDelay===session.closeDelayTimeout||stopClose){cancelClose()}}function cancelClose(){session.closeDelayTimeout=clearTimeout(session.closeDelayTimeout);session.delayInProgress=false}function closeAnyDelayed(){if(session.delayInProgress&&session.activeHover&&!session.activeHover.is(element)){session.activeHover.data(DATA_DISPLAYCONTROLLER).hide(true)}}function repositionTooltip(){tipController.resetPosition(element)}this.show=openTooltip;this.hide=closeTooltip;this.cancel=cancelTimer;this.resetPosition=repositionTooltip}function PlacementCalculator(){function computePlacementCoords(element,placement,tipWidth,tipHeight,offset){var placementBase=placement.split("-")[0],coords=new CSSCoordinates,position;if(isSvgElement(element)){position=getSvgPlacement(element,placementBase)}else{position=getHtmlPlacement(element,placementBase)}switch(placement){case"n":coords.set("left",position.left-tipWidth/2);coords.set("bottom",session.windowHeight-position.top+offset);break;case"e":coords.set("left",position.left+offset);coords.set("top",position.top-tipHeight/2);break;case"s":coords.set("left",position.left-tipWidth/2);coords.set("top",position.top+offset);break;case"w":coords.set("top",position.top-tipHeight/2);coords.set("right",session.windowWidth-position.left+offset);break;case"nw":coords.set("bottom",session.windowHeight-position.top+offset);coords.set("right",session.windowWidth-position.left-20);break;case"nw-alt":coords.set("left",position.left);coords.set("bottom",session.windowHeight-position.top+offset);break;case"ne":coords.set("left",position.left-20);coords.set("bottom",session.windowHeight-position.top+offset);break;case"ne-alt":coords.set("bottom",session.windowHeight-position.top+offset);coords.set("right",session.windowWidth-position.left);break;case"sw":coords.set("top",position.top+offset);coords.set("right",session.windowWidth-position.left-20);break;case"sw-alt":coords.set("left",position.left);coords.set("top",position.top+offset);break;case"se":coords.set("left",position.left-20);coords.set("top",position.top+offset);break;case"se-alt":coords.set("top",position.top+offset);coords.set("right",session.windowWidth-position.left);break}return coords}function getHtmlPlacement(element,placement){var objectOffset=element.offset(),objectWidth=element.outerWidth(),objectHeight=element.outerHeight(),left,top;switch(placement){case"n":left=objectOffset.left+objectWidth/2;top=objectOffset.top;break;case"e":left=objectOffset.left+objectWidth;top=objectOffset.top+objectHeight/2;break;case"s":left=objectOffset.left+objectWidth/2;top=objectOffset.top+objectHeight;break;case"w":left=objectOffset.left;top=objectOffset.top+objectHeight/2;break;case"nw":left=objectOffset.left;top=objectOffset.top;break;case"ne":left=objectOffset.left+objectWidth;top=objectOffset.top;break;case"sw":left=objectOffset.left;top=objectOffset.top+objectHeight;break;case"se":left=objectOffset.left+objectWidth;top=objectOffset.top+objectHeight;break}return{top:top,left:left}}function getSvgPlacement(element,placement){var svgElement=element.closest("svg")[0],domElement=element[0],point=svgElement.createSVGPoint(),boundingBox=domElement.getBBox(),matrix=domElement.getScreenCTM(),halfWidth=boundingBox.width/2,halfHeight=boundingBox.height/2,placements=[],placementKeys=["nw","n","ne","e","se","s","sw","w"],coords,rotation,steps,x;function pushPlacement(){placements.push(point.matrixTransform(matrix))}point.x=boundingBox.x;point.y=boundingBox.y;pushPlacement();point.x+=halfWidth;pushPlacement();point.x+=halfWidth;pushPlacement();point.y+=halfHeight;pushPlacement();point.y+=halfHeight;pushPlacement();point.x-=halfWidth;pushPlacement();point.x-=halfWidth;pushPlacement();point.y-=halfHeight;pushPlacement();if(placements[0].y!==placements[1].y||placements[0].x!==placements[7].x){rotation=Math.atan2(matrix.b,matrix.a)*RAD2DEG;steps=Math.ceil((rotation%360-22.5)/45);if(steps<1){steps+=8}while(steps--){placementKeys.push(placementKeys.shift())}}for(x=0;x<placements.length;x++){if(placementKeys[x]===placement){coords=placements[x];break}}return{top:coords.y+session.scrollTop,left:coords.x+session.scrollLeft}}this.compute=computePlacementCoords}function TooltipController(options){var placementCalculator=new PlacementCalculator,tipElement=$("#"+options.popupId);if(tipElement.length===0){tipElement=$("<div/>",{id:options.popupId});if($body.length===0){$body=$("body")}$body.append(tipElement);session.tooltips=session.tooltips?session.tooltips.add(tipElement):tipElement}if(options.followMouse){if(!tipElement.data(DATA_HASMOUSEMOVE)){$document.on("mousemove"+EVENT_NAMESPACE,positionTipOnCursor);$window.on("scroll"+EVENT_NAMESPACE,positionTipOnCursor);tipElement.data(DATA_HASMOUSEMOVE,true)}}function beginShowTip(element){element.data(DATA_HASACTIVEHOVER,true);tipElement.queue(function queueTipInit(next){showTip(element);next()})}function showTip(element){var tipContent;if(!element.data(DATA_HASACTIVEHOVER)){return}if(session.isTipOpen){if(!session.isClosing){hideTip(session.activeHover)}tipElement.delay(100).queue(function queueTipAgain(next){showTip(element);next()});return}element.trigger("powerTipPreRender");tipContent=getTooltipContent(element);if(tipContent){tipElement.empty().append(tipContent)}else{return}element.trigger("powerTipRender");session.activeHover=element;session.isTipOpen=true;tipElement.data(DATA_MOUSEONTOTIP,options.mouseOnToPopup);tipElement.addClass(options.popupClass);if(!options.followMouse||element.data(DATA_FORCEDOPEN)){positionTipOnElement(element);session.isFixedTipOpen=true}else{positionTipOnCursor()}if(!element.data(DATA_FORCEDOPEN)&&!options.followMouse){$document.on("click"+EVENT_NAMESPACE,function documentClick(event){var target=event.target;if(target!==element[0]){if(options.mouseOnToPopup){if(target!==tipElement[0]&&!$.contains(tipElement[0],target)){$.powerTip.hide()}}else{$.powerTip.hide()}}})}if(options.mouseOnToPopup&&!options.manual){tipElement.on("mouseenter"+EVENT_NAMESPACE,function tipMouseEnter(){if(session.activeHover){session.activeHover.data(DATA_DISPLAYCONTROLLER).cancel()}});tipElement.on("mouseleave"+EVENT_NAMESPACE,function tipMouseLeave(){if(session.activeHover){session.activeHover.data(DATA_DISPLAYCONTROLLER).hide()}})}tipElement.fadeIn(options.fadeInTime,function fadeInCallback(){if(!session.desyncTimeout){session.desyncTimeout=setInterval(closeDesyncedTip,500)}element.trigger("powerTipOpen")})}function hideTip(element){session.isClosing=true;session.isTipOpen=false;session.desyncTimeout=clearInterval(session.desyncTimeout);element.data(DATA_HASACTIVEHOVER,false);element.data(DATA_FORCEDOPEN,false);$document.off("click"+EVENT_NAMESPACE);tipElement.off(EVENT_NAMESPACE);tipElement.fadeOut(options.fadeOutTime,function fadeOutCallback(){var coords=new CSSCoordinates;session.activeHover=null;session.isClosing=false;session.isFixedTipOpen=false;tipElement.removeClass();coords.set("top",session.currentY+options.offset);coords.set("left",session.currentX+options.offset);tipElement.css(coords);element.trigger("powerTipClose")})}function positionTipOnCursor(){var tipWidth,tipHeight,coords,collisions,collisionCount;if(!session.isFixedTipOpen&&(session.isTipOpen||session.tipOpenImminent&&tipElement.data(DATA_HASMOUSEMOVE))){tipWidth=tipElement.outerWidth();tipHeight=tipElement.outerHeight();coords=new CSSCoordinates;coords.set("top",session.currentY+options.offset);coords.set("left",session.currentX+options.offset);collisions=getViewportCollisions(coords,tipWidth,tipHeight);if(collisions!==Collision.none){collisionCount=countFlags(collisions);if(collisionCount===1){if(collisions===Collision.right){coords.set("left",session.scrollLeft+session.windowWidth-tipWidth)}else if(collisions===Collision.bottom){coords.set("top",session.scrollTop+session.windowHeight-tipHeight)}}else{coords.set("left",session.currentX-tipWidth-options.offset);coords.set("top",session.currentY-tipHeight-options.offset)}}tipElement.css(coords)}}function positionTipOnElement(element){var priorityList,finalPlacement;if(options.smartPlacement||options.followMouse&&element.data(DATA_FORCEDOPEN)){priorityList=$.fn.powerTip.smartPlacementLists[options.placement];$.each(priorityList,function(idx,pos){var collisions=getViewportCollisions(placeTooltip(element,pos),tipElement.outerWidth(),tipElement.outerHeight());finalPlacement=pos;return collisions!==Collision.none})}else{placeTooltip(element,options.placement);finalPlacement=options.placement}tipElement.removeClass("w nw sw e ne se n s w se-alt sw-alt ne-alt nw-alt");tipElement.addClass(finalPlacement)}function placeTooltip(element,placement){var iterationCount=0,tipWidth,tipHeight,coords=new CSSCoordinates;coords.set("top",0);coords.set("left",0);tipElement.css(coords);do{tipWidth=tipElement.outerWidth();tipHeight=tipElement.outerHeight();coords=placementCalculator.compute(element,placement,tipWidth,tipHeight,options.offset);tipElement.css(coords)}while(++iterationCount<=5&&(tipWidth!==tipElement.outerWidth()||tipHeight!==tipElement.outerHeight()));return coords}function closeDesyncedTip(){var isDesynced=false,hasDesyncableCloseEvent=$.grep(["mouseleave","mouseout","blur","focusout"],function(eventType){return $.inArray(eventType,options.closeEvents)!==-1}).length>0;if(session.isTipOpen&&!session.isClosing&&!session.delayInProgress&&hasDesyncableCloseEvent){if(session.activeHover.data(DATA_HASACTIVEHOVER)===false||session.activeHover.is(":disabled")){isDesynced=true}else if(!isMouseOver(session.activeHover)&&!session.activeHover.is(":focus")&&!session.activeHover.data(DATA_FORCEDOPEN)){if(tipElement.data(DATA_MOUSEONTOTIP)){if(!isMouseOver(tipElement)){isDesynced=true}}else{isDesynced=true}}if(isDesynced){hideTip(session.activeHover)}}}this.showTip=beginShowTip;this.hideTip=hideTip;this.resetPosition=positionTipOnElement}function isSvgElement(element){return Boolean(window.SVGElement&&element[0]instanceof SVGElement)}function isMouseEvent(event){return Boolean(event&&$.inArray(event.type,MOUSE_EVENTS)>-1&&typeof event.pageX==="number")}function initTracking(){if(!session.mouseTrackingActive){session.mouseTrackingActive=true;getViewportDimensions();$(getViewportDimensions);$document.on("mousemove"+EVENT_NAMESPACE,trackMouse);$window.on("resize"+EVENT_NAMESPACE,trackResize);$window.on("scroll"+EVENT_NAMESPACE,trackScroll)}}function getViewportDimensions(){session.scrollLeft=$window.scrollLeft();session.scrollTop=$window.scrollTop();session.windowWidth=$window.width();session.windowHeight=$window.height()}function trackResize(){session.windowWidth=$window.width();session.windowHeight=$window.height()}function trackScroll(){var x=$window.scrollLeft(),y=$window.scrollTop();if(x!==session.scrollLeft){session.currentX+=x-session.scrollLeft;session.scrollLeft=x}if(y!==session.scrollTop){session.currentY+=y-session.scrollTop;session.scrollTop=y}}function trackMouse(event){session.currentX=event.pageX;session.currentY=event.pageY}function isMouseOver(element){var elementPosition=element.offset(),elementBox=element[0].getBoundingClientRect(),elementWidth=elementBox.right-elementBox.left,elementHeight=elementBox.bottom-elementBox.top;return session.currentX>=elementPosition.left&&session.currentX<=elementPosition.left+elementWidth&&session.currentY>=elementPosition.top&&session.currentY<=elementPosition.top+elementHeight}function getTooltipContent(element){var tipText=element.data(DATA_POWERTIP),tipObject=element.data(DATA_POWERTIPJQ),tipTarget=element.data(DATA_POWERTIPTARGET),targetElement,content;if(tipText){if($.isFunction(tipText)){tipText=tipText.call(element[0])}content=tipText}else if(tipObject){if($.isFunction(tipObject)){tipObject=tipObject.call(element[0])}if(tipObject.length>0){content=tipObject.clone(true,true)}}else if(tipTarget){targetElement=$("#"+tipTarget);if(targetElement.length>0){content=targetElement.html()}}return content}function getViewportCollisions(coords,elementWidth,elementHeight){var viewportTop=session.scrollTop,viewportLeft=session.scrollLeft,viewportBottom=viewportTop+session.windowHeight,viewportRight=viewportLeft+session.windowWidth,collisions=Collision.none;if(coords.top<viewportTop||Math.abs(coords.bottom-session.windowHeight)-elementHeight<viewportTop){collisions|=Collision.top}if(coords.top+elementHeight>viewportBottom||Math.abs(coords.bottom-session.windowHeight)>viewportBottom){collisions|=Collision.bottom}if(coords.left<viewportLeft||coords.right+elementWidth>viewportRight){collisions|=Collision.left}if(coords.left+elementWidth>viewportRight||coords.right<viewportLeft){collisions|=Collision.right}return collisions}function countFlags(value){var count=0;while(value){value&=value-1;count++}return count}return $.powerTip});/*!
- * jQuery UI Touch Punch 0.2.3
- *
- * Copyright 2011–2014, Dave Furfero
- * Dual licensed under the MIT or GPL Version 2 licenses.
- *
- * Depends:
- *  jquery.ui.widget.js
- *  jquery.ui.mouse.js
- */
-!function(a){function f(a,b){if(!(a.originalEvent.touches.length>1)){a.preventDefault();var c=a.originalEvent.changedTouches[0],d=document.createEvent("MouseEvents");d.initMouseEvent(b,!0,!0,window,1,c.screenX,c.screenY,c.clientX,c.clientY,!1,!1,!1,!1,0,null),a.target.dispatchEvent(d)}}if(a.support.touch="ontouchend"in document,a.support.touch){var e,b=a.ui.mouse.prototype,c=b._mouseInit,d=b._mouseDestroy;b._touchStart=function(a){var b=this;!e&&b._mouseCapture(a.originalEvent.changedTouches[0])&&(e=!0,b._touchMoved=!1,f(a,"mouseover"),f(a,"mousemove"),f(a,"mousedown"))},b._touchMove=function(a){e&&(this._touchMoved=!0,f(a,"mousemove"))},b._touchEnd=function(a){e&&(f(a,"mouseup"),f(a,"mouseout"),this._touchMoved||f(a,"click"),e=!1)},b._mouseInit=function(){var b=this;b.element.bind({touchstart:a.proxy(b,"_touchStart"),touchmove:a.proxy(b,"_touchMove"),touchend:a.proxy(b,"_touchEnd")}),c.call(b)},b._mouseDestroy=function(){var b=this;b.element.unbind({touchstart:a.proxy(b,"_touchStart"),touchmove:a.proxy(b,"_touchMove"),touchend:a.proxy(b,"_touchEnd")}),d.call(b)}}}(jQuery);/*! SmartMenus jQuery Plugin - v1.1.0 - September 17, 2017
- * http://www.smartmenus.org/
- * Copyright Vasil Dinkov, Vadikom Web Ltd. http://vadikom.com; Licensed MIT */(function(t){"function"==typeof define&&define.amd?define(["jquery"],t):"object"==typeof module&&"object"==typeof module.exports?module.exports=t(require("jquery")):t(jQuery)})(function($){function initMouseDetection(t){var e=".smartmenus_mouse";if(mouseDetectionEnabled||t)mouseDetectionEnabled&&t&&($(document).off(e),mouseDetectionEnabled=!1);else{var i=!0,s=null,o={mousemove:function(t){var e={x:t.pageX,y:t.pageY,timeStamp:(new Date).getTime()};if(s){var o=Math.abs(s.x-e.x),a=Math.abs(s.y-e.y);if((o>0||a>0)&&2>=o&&2>=a&&300>=e.timeStamp-s.timeStamp&&(mouse=!0,i)){var n=$(t.target).closest("a");n.is("a")&&$.each(menuTrees,function(){return $.contains(this.$root[0],n[0])?(this.itemEnter({currentTarget:n[0]}),!1):void 0}),i=!1}}s=e}};o[touchEvents?"touchstart":"pointerover pointermove pointerout MSPointerOver MSPointerMove MSPointerOut"]=function(t){isTouchEvent(t.originalEvent)&&(mouse=!1)},$(document).on(getEventsNS(o,e)),mouseDetectionEnabled=!0}}function isTouchEvent(t){return!/^(4|mouse)$/.test(t.pointerType)}function getEventsNS(t,e){e||(e="");var i={};for(var s in t)i[s.split(" ").join(e+" ")+e]=t[s];return i}var menuTrees=[],mouse=!1,touchEvents="ontouchstart"in window,mouseDetectionEnabled=!1,requestAnimationFrame=window.requestAnimationFrame||function(t){return setTimeout(t,1e3/60)},cancelAnimationFrame=window.cancelAnimationFrame||function(t){clearTimeout(t)},canAnimate=!!$.fn.animate;return $.SmartMenus=function(t,e){this.$root=$(t),this.opts=e,this.rootId="",this.accessIdPrefix="",this.$subArrow=null,this.activatedItems=[],this.visibleSubMenus=[],this.showTimeout=0,this.hideTimeout=0,this.scrollTimeout=0,this.clickActivated=!1,this.focusActivated=!1,this.zIndexInc=0,this.idInc=0,this.$firstLink=null,this.$firstSub=null,this.disabled=!1,this.$disableOverlay=null,this.$touchScrollingSub=null,this.cssTransforms3d="perspective"in t.style||"webkitPerspective"in t.style,this.wasCollapsible=!1,this.init()},$.extend($.SmartMenus,{hideAll:function(){$.each(menuTrees,function(){this.menuHideAll()})},destroy:function(){for(;menuTrees.length;)menuTrees[0].destroy();initMouseDetection(!0)},prototype:{init:function(t){var e=this;if(!t){menuTrees.push(this),this.rootId=((new Date).getTime()+Math.random()+"").replace(/\D/g,""),this.accessIdPrefix="sm-"+this.rootId+"-",this.$root.hasClass("sm-rtl")&&(this.opts.rightToLeftSubMenus=!0);var i=".smartmenus";this.$root.data("smartmenus",this).attr("data-smartmenus-id",this.rootId).dataSM("level",1).on(getEventsNS({"mouseover focusin":$.proxy(this.rootOver,this),"mouseout focusout":$.proxy(this.rootOut,this),keydown:$.proxy(this.rootKeyDown,this)},i)).on(getEventsNS({mouseenter:$.proxy(this.itemEnter,this),mouseleave:$.proxy(this.itemLeave,this),mousedown:$.proxy(this.itemDown,this),focus:$.proxy(this.itemFocus,this),blur:$.proxy(this.itemBlur,this),click:$.proxy(this.itemClick,this)},i),"a"),i+=this.rootId,this.opts.hideOnClick&&$(document).on(getEventsNS({touchstart:$.proxy(this.docTouchStart,this),touchmove:$.proxy(this.docTouchMove,this),touchend:$.proxy(this.docTouchEnd,this),click:$.proxy(this.docClick,this)},i)),$(window).on(getEventsNS({"resize orientationchange":$.proxy(this.winResize,this)},i)),this.opts.subIndicators&&(this.$subArrow=$("<span/>").addClass("sub-arrow"),this.opts.subIndicatorsText&&this.$subArrow.html(this.opts.subIndicatorsText)),initMouseDetection()}if(this.$firstSub=this.$root.find("ul").each(function(){e.menuInit($(this))}).eq(0),this.$firstLink=this.$root.find("a").eq(0),this.opts.markCurrentItem){var s=/(index|default)\.[^#\?\/]*/i,o=/#.*/,a=window.location.href.replace(s,""),n=a.replace(o,"");this.$root.find("a").each(function(){var t=this.href.replace(s,""),i=$(this);(t==a||t==n)&&(i.addClass("current"),e.opts.markCurrentTree&&i.parentsUntil("[data-smartmenus-id]","ul").each(function(){$(this).dataSM("parent-a").addClass("current")}))})}this.wasCollapsible=this.isCollapsible()},destroy:function(t){if(!t){var e=".smartmenus";this.$root.removeData("smartmenus").removeAttr("data-smartmenus-id").removeDataSM("level").off(e),e+=this.rootId,$(document).off(e),$(window).off(e),this.opts.subIndicators&&(this.$subArrow=null)}this.menuHideAll();var i=this;this.$root.find("ul").each(function(){var t=$(this);t.dataSM("scroll-arrows")&&t.dataSM("scroll-arrows").remove(),t.dataSM("shown-before")&&((i.opts.subMenusMinWidth||i.opts.subMenusMaxWidth)&&t.css({width:"",minWidth:"",maxWidth:""}).removeClass("sm-nowrap"),t.dataSM("scroll-arrows")&&t.dataSM("scroll-arrows").remove(),t.css({zIndex:"",top:"",left:"",marginLeft:"",marginTop:"",display:""})),0==(t.attr("id")||"").indexOf(i.accessIdPrefix)&&t.removeAttr("id")}).removeDataSM("in-mega").removeDataSM("shown-before").removeDataSM("scroll-arrows").removeDataSM("parent-a").removeDataSM("level").removeDataSM("beforefirstshowfired").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeAttr("aria-expanded"),this.$root.find("a.has-submenu").each(function(){var t=$(this);0==t.attr("id").indexOf(i.accessIdPrefix)&&t.removeAttr("id")}).removeClass("has-submenu").removeDataSM("sub").removeAttr("aria-haspopup").removeAttr("aria-controls").removeAttr("aria-expanded").closest("li").removeDataSM("sub"),this.opts.subIndicators&&this.$root.find("span.sub-arrow").remove(),this.opts.markCurrentItem&&this.$root.find("a.current").removeClass("current"),t||(this.$root=null,this.$firstLink=null,this.$firstSub=null,this.$disableOverlay&&(this.$disableOverlay.remove(),this.$disableOverlay=null),menuTrees.splice($.inArray(this,menuTrees),1))},disable:function(t){if(!this.disabled){if(this.menuHideAll(),!t&&!this.opts.isPopup&&this.$root.is(":visible")){var e=this.$root.offset();this.$disableOverlay=$('<div class="sm-jquery-disable-overlay"/>').css({position:"absolute",top:e.top,left:e.left,width:this.$root.outerWidth(),height:this.$root.outerHeight(),zIndex:this.getStartZIndex(!0),opacity:0}).appendTo(document.body)}this.disabled=!0}},docClick:function(t){return this.$touchScrollingSub?(this.$touchScrollingSub=null,void 0):((this.visibleSubMenus.length&&!$.contains(this.$root[0],t.target)||$(t.target).closest("a").length)&&this.menuHideAll(),void 0)},docTouchEnd:function(){if(this.lastTouch){if(!(!this.visibleSubMenus.length||void 0!==this.lastTouch.x2&&this.lastTouch.x1!=this.lastTouch.x2||void 0!==this.lastTouch.y2&&this.lastTouch.y1!=this.lastTouch.y2||this.lastTouch.target&&$.contains(this.$root[0],this.lastTouch.target))){this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0);var t=this;this.hideTimeout=setTimeout(function(){t.menuHideAll()},350)}this.lastTouch=null}},docTouchMove:function(t){if(this.lastTouch){var e=t.originalEvent.touches[0];this.lastTouch.x2=e.pageX,this.lastTouch.y2=e.pageY}},docTouchStart:function(t){var e=t.originalEvent.touches[0];this.lastTouch={x1:e.pageX,y1:e.pageY,target:e.target}},enable:function(){this.disabled&&(this.$disableOverlay&&(this.$disableOverlay.remove(),this.$disableOverlay=null),this.disabled=!1)},getClosestMenu:function(t){for(var e=$(t).closest("ul");e.dataSM("in-mega");)e=e.parent().closest("ul");return e[0]||null},getHeight:function(t){return this.getOffset(t,!0)},getOffset:function(t,e){var i;"none"==t.css("display")&&(i={position:t[0].style.position,visibility:t[0].style.visibility},t.css({position:"absolute",visibility:"hidden"}).show());var s=t[0].getBoundingClientRect&&t[0].getBoundingClientRect(),o=s&&(e?s.height||s.bottom-s.top:s.width||s.right-s.left);return o||0===o||(o=e?t[0].offsetHeight:t[0].offsetWidth),i&&t.hide().css(i),o},getStartZIndex:function(t){var e=parseInt(this[t?"$root":"$firstSub"].css("z-index"));return!t&&isNaN(e)&&(e=parseInt(this.$root.css("z-index"))),isNaN(e)?1:e},getTouchPoint:function(t){return t.touches&&t.touches[0]||t.changedTouches&&t.changedTouches[0]||t},getViewport:function(t){var e=t?"Height":"Width",i=document.documentElement["client"+e],s=window["inner"+e];return s&&(i=Math.min(i,s)),i},getViewportHeight:function(){return this.getViewport(!0)},getViewportWidth:function(){return this.getViewport()},getWidth:function(t){return this.getOffset(t)},handleEvents:function(){return!this.disabled&&this.isCSSOn()},handleItemEvents:function(t){return this.handleEvents()&&!this.isLinkInMegaMenu(t)},isCollapsible:function(){return"static"==this.$firstSub.css("position")},isCSSOn:function(){return"inline"!=this.$firstLink.css("display")},isFixed:function(){var t="fixed"==this.$root.css("position");return t||this.$root.parentsUntil("body").each(function(){return"fixed"==$(this).css("position")?(t=!0,!1):void 0}),t},isLinkInMegaMenu:function(t){return $(this.getClosestMenu(t[0])).hasClass("mega-menu")},isTouchMode:function(){return!mouse||this.opts.noMouseOver||this.isCollapsible()},itemActivate:function(t,e){var i=t.closest("ul"),s=i.dataSM("level");if(s>1&&(!this.activatedItems[s-2]||this.activatedItems[s-2][0]!=i.dataSM("parent-a")[0])){var o=this;$(i.parentsUntil("[data-smartmenus-id]","ul").get().reverse()).add(i).each(function(){o.itemActivate($(this).dataSM("parent-a"))})}if((!this.isCollapsible()||e)&&this.menuHideSubMenus(this.activatedItems[s-1]&&this.activatedItems[s-1][0]==t[0]?s:s-1),this.activatedItems[s-1]=t,this.$root.triggerHandler("activate.smapi",t[0])!==!1){var a=t.dataSM("sub");a&&(this.isTouchMode()||!this.opts.showOnClick||this.clickActivated)&&this.menuShow(a)}},itemBlur:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&this.$root.triggerHandler("blur.smapi",e[0])},itemClick:function(t){var e=$(t.currentTarget);if(this.handleItemEvents(e)){if(this.$touchScrollingSub&&this.$touchScrollingSub[0]==e.closest("ul")[0])return this.$touchScrollingSub=null,t.stopPropagation(),!1;if(this.$root.triggerHandler("click.smapi",e[0])===!1)return!1;var i=$(t.target).is(".sub-arrow"),s=e.dataSM("sub"),o=s?2==s.dataSM("level"):!1,a=this.isCollapsible(),n=/toggle$/.test(this.opts.collapsibleBehavior),r=/link$/.test(this.opts.collapsibleBehavior),h=/^accordion/.test(this.opts.collapsibleBehavior);if(s&&!s.is(":visible")){if((!r||!a||i)&&(this.opts.showOnClick&&o&&(this.clickActivated=!0),this.itemActivate(e,h),s.is(":visible")))return this.focusActivated=!0,!1}else if(a&&(n||i))return this.itemActivate(e,h),this.menuHide(s),n&&(this.focusActivated=!1),!1;return this.opts.showOnClick&&o||e.hasClass("disabled")||this.$root.triggerHandler("select.smapi",e[0])===!1?!1:void 0}},itemDown:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&e.dataSM("mousedown",!0)},itemEnter:function(t){var e=$(t.currentTarget);if(this.handleItemEvents(e)){if(!this.isTouchMode()){this.showTimeout&&(clearTimeout(this.showTimeout),this.showTimeout=0);var i=this;this.showTimeout=setTimeout(function(){i.itemActivate(e)},this.opts.showOnClick&&1==e.closest("ul").dataSM("level")?1:this.opts.showTimeout)}this.$root.triggerHandler("mouseenter.smapi",e[0])}},itemFocus:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&(!this.focusActivated||this.isTouchMode()&&e.dataSM("mousedown")||this.activatedItems.length&&this.activatedItems[this.activatedItems.length-1][0]==e[0]||this.itemActivate(e,!0),this.$root.triggerHandler("focus.smapi",e[0]))},itemLeave:function(t){var e=$(t.currentTarget);this.handleItemEvents(e)&&(this.isTouchMode()||(e[0].blur(),this.showTimeout&&(clearTimeout(this.showTimeout),this.showTimeout=0)),e.removeDataSM("mousedown"),this.$root.triggerHandler("mouseleave.smapi",e[0]))},menuHide:function(t){if(this.$root.triggerHandler("beforehide.smapi",t[0])!==!1&&(canAnimate&&t.stop(!0,!0),"none"!=t.css("display"))){var e=function(){t.css("z-index","")};this.isCollapsible()?canAnimate&&this.opts.collapsibleHideFunction?this.opts.collapsibleHideFunction.call(this,t,e):t.hide(this.opts.collapsibleHideDuration,e):canAnimate&&this.opts.hideFunction?this.opts.hideFunction.call(this,t,e):t.hide(this.opts.hideDuration,e),t.dataSM("scroll")&&(this.menuScrollStop(t),t.css({"touch-action":"","-ms-touch-action":"","-webkit-transform":"",transform:""}).off(".smartmenus_scroll").removeDataSM("scroll").dataSM("scroll-arrows").hide()),t.dataSM("parent-a").removeClass("highlighted").attr("aria-expanded","false"),t.attr({"aria-expanded":"false","aria-hidden":"true"});var i=t.dataSM("level");this.activatedItems.splice(i-1,1),this.visibleSubMenus.splice($.inArray(t,this.visibleSubMenus),1),this.$root.triggerHandler("hide.smapi",t[0])}},menuHideAll:function(){this.showTimeout&&(clearTimeout(this.showTimeout),this.showTimeout=0);for(var t=this.opts.isPopup?1:0,e=this.visibleSubMenus.length-1;e>=t;e--)this.menuHide(this.visibleSubMenus[e]);this.opts.isPopup&&(canAnimate&&this.$root.stop(!0,!0),this.$root.is(":visible")&&(canAnimate&&this.opts.hideFunction?this.opts.hideFunction.call(this,this.$root):this.$root.hide(this.opts.hideDuration))),this.activatedItems=[],this.visibleSubMenus=[],this.clickActivated=!1,this.focusActivated=!1,this.zIndexInc=0,this.$root.triggerHandler("hideAll.smapi")},menuHideSubMenus:function(t){for(var e=this.activatedItems.length-1;e>=t;e--){var i=this.activatedItems[e].dataSM("sub");i&&this.menuHide(i)}},menuInit:function(t){if(!t.dataSM("in-mega")){t.hasClass("mega-menu")&&t.find("ul").dataSM("in-mega",!0);for(var e=2,i=t[0];(i=i.parentNode.parentNode)!=this.$root[0];)e++;var s=t.prevAll("a").eq(-1);s.length||(s=t.prevAll().find("a").eq(-1)),s.addClass("has-submenu").dataSM("sub",t),t.dataSM("parent-a",s).dataSM("level",e).parent().dataSM("sub",t);var o=s.attr("id")||this.accessIdPrefix+ ++this.idInc,a=t.attr("id")||this.accessIdPrefix+ ++this.idInc;s.attr({id:o,"aria-haspopup":"true","aria-controls":a,"aria-expanded":"false"}),t.attr({id:a,role:"group","aria-hidden":"true","aria-labelledby":o,"aria-expanded":"false"}),this.opts.subIndicators&&s[this.opts.subIndicatorsPos](this.$subArrow.clone())}},menuPosition:function(t){var e,i,s=t.dataSM("parent-a"),o=s.closest("li"),a=o.parent(),n=t.dataSM("level"),r=this.getWidth(t),h=this.getHeight(t),u=s.offset(),l=u.left,c=u.top,d=this.getWidth(s),m=this.getHeight(s),p=$(window),f=p.scrollLeft(),v=p.scrollTop(),b=this.getViewportWidth(),S=this.getViewportHeight(),g=a.parent().is("[data-sm-horizontal-sub]")||2==n&&!a.hasClass("sm-vertical"),M=this.opts.rightToLeftSubMenus&&!o.is("[data-sm-reverse]")||!this.opts.rightToLeftSubMenus&&o.is("[data-sm-reverse]"),w=2==n?this.opts.mainMenuSubOffsetX:this.opts.subMenusSubOffsetX,T=2==n?this.opts.mainMenuSubOffsetY:this.opts.subMenusSubOffsetY;if(g?(e=M?d-r-w:w,i=this.opts.bottomToTopSubMenus?-h-T:m+T):(e=M?w-r:d-w,i=this.opts.bottomToTopSubMenus?m-T-h:T),this.opts.keepInViewport){var y=l+e,I=c+i;if(M&&f>y?e=g?f-y+e:d-w:!M&&y+r>f+b&&(e=g?f+b-r-y+e:w-r),g||(S>h&&I+h>v+S?i+=v+S-h-I:(h>=S||v>I)&&(i+=v-I)),g&&(I+h>v+S+.49||v>I)||!g&&h>S+.49){var x=this;t.dataSM("scroll-arrows")||t.dataSM("scroll-arrows",$([$('<span class="scroll-up"><span class="scroll-up-arrow"></span></span>')[0],$('<span class="scroll-down"><span class="scroll-down-arrow"></span></span>')[0]]).on({mouseenter:function(){t.dataSM("scroll").up=$(this).hasClass("scroll-up"),x.menuScroll(t)},mouseleave:function(e){x.menuScrollStop(t),x.menuScrollOut(t,e)},"mousewheel DOMMouseScroll":function(t){t.preventDefault()}}).insertAfter(t));var A=".smartmenus_scroll";if(t.dataSM("scroll",{y:this.cssTransforms3d?0:i-m,step:1,itemH:m,subH:h,arrowDownH:this.getHeight(t.dataSM("scroll-arrows").eq(1))}).on(getEventsNS({mouseover:function(e){x.menuScrollOver(t,e)},mouseout:function(e){x.menuScrollOut(t,e)},"mousewheel DOMMouseScroll":function(e){x.menuScrollMousewheel(t,e)}},A)).dataSM("scroll-arrows").css({top:"auto",left:"0",marginLeft:e+(parseInt(t.css("border-left-width"))||0),width:r-(parseInt(t.css("border-left-width"))||0)-(parseInt(t.css("border-right-width"))||0),zIndex:t.css("z-index")}).eq(g&&this.opts.bottomToTopSubMenus?0:1).show(),this.isFixed()){var C={};C[touchEvents?"touchstart touchmove touchend":"pointerdown pointermove pointerup MSPointerDown MSPointerMove MSPointerUp"]=function(e){x.menuScrollTouch(t,e)},t.css({"touch-action":"none","-ms-touch-action":"none"}).on(getEventsNS(C,A))}}}t.css({top:"auto",left:"0",marginLeft:e,marginTop:i-m})},menuScroll:function(t,e,i){var s,o=t.dataSM("scroll"),a=t.dataSM("scroll-arrows"),n=o.up?o.upEnd:o.downEnd;if(!e&&o.momentum){if(o.momentum*=.92,s=o.momentum,.5>s)return this.menuScrollStop(t),void 0}else s=i||(e||!this.opts.scrollAccelerate?this.opts.scrollStep:Math.floor(o.step));var r=t.dataSM("level");if(this.activatedItems[r-1]&&this.activatedItems[r-1].dataSM("sub")&&this.activatedItems[r-1].dataSM("sub").is(":visible")&&this.menuHideSubMenus(r-1),o.y=o.up&&o.y>=n||!o.up&&n>=o.y?o.y:Math.abs(n-o.y)>s?o.y+(o.up?s:-s):n,t.css(this.cssTransforms3d?{"-webkit-transform":"translate3d(0, "+o.y+"px, 0)",transform:"translate3d(0, "+o.y+"px, 0)"}:{marginTop:o.y}),mouse&&(o.up&&o.y>o.downEnd||!o.up&&o.y<o.upEnd)&&a.eq(o.up?1:0).show(),o.y==n)mouse&&a.eq(o.up?0:1).hide(),this.menuScrollStop(t);else if(!e){this.opts.scrollAccelerate&&o.step<this.opts.scrollStep&&(o.step+=.2);var h=this;this.scrollTimeout=requestAnimationFrame(function(){h.menuScroll(t)})}},menuScrollMousewheel:function(t,e){if(this.getClosestMenu(e.target)==t[0]){e=e.originalEvent;var i=(e.wheelDelta||-e.detail)>0;t.dataSM("scroll-arrows").eq(i?0:1).is(":visible")&&(t.dataSM("scroll").up=i,this.menuScroll(t,!0))}e.preventDefault()},menuScrollOut:function(t,e){mouse&&(/^scroll-(up|down)/.test((e.relatedTarget||"").className)||(t[0]==e.relatedTarget||$.contains(t[0],e.relatedTarget))&&this.getClosestMenu(e.relatedTarget)==t[0]||t.dataSM("scroll-arrows").css("visibility","hidden"))},menuScrollOver:function(t,e){if(mouse&&!/^scroll-(up|down)/.test(e.target.className)&&this.getClosestMenu(e.target)==t[0]){this.menuScrollRefreshData(t);var i=t.dataSM("scroll"),s=$(window).scrollTop()-t.dataSM("parent-a").offset().top-i.itemH;t.dataSM("scroll-arrows").eq(0).css("margin-top",s).end().eq(1).css("margin-top",s+this.getViewportHeight()-i.arrowDownH).end().css("visibility","visible")}},menuScrollRefreshData:function(t){var e=t.dataSM("scroll"),i=$(window).scrollTop()-t.dataSM("parent-a").offset().top-e.itemH;this.cssTransforms3d&&(i=-(parseFloat(t.css("margin-top"))-i)),$.extend(e,{upEnd:i,downEnd:i+this.getViewportHeight()-e.subH})},menuScrollStop:function(t){return this.scrollTimeout?(cancelAnimationFrame(this.scrollTimeout),this.scrollTimeout=0,t.dataSM("scroll").step=1,!0):void 0},menuScrollTouch:function(t,e){if(e=e.originalEvent,isTouchEvent(e)){var i=this.getTouchPoint(e);if(this.getClosestMenu(i.target)==t[0]){var s=t.dataSM("scroll");if(/(start|down)$/i.test(e.type))this.menuScrollStop(t)?(e.preventDefault(),this.$touchScrollingSub=t):this.$touchScrollingSub=null,this.menuScrollRefreshData(t),$.extend(s,{touchStartY:i.pageY,touchStartTime:e.timeStamp});else if(/move$/i.test(e.type)){var o=void 0!==s.touchY?s.touchY:s.touchStartY;if(void 0!==o&&o!=i.pageY){this.$touchScrollingSub=t;var a=i.pageY>o;void 0!==s.up&&s.up!=a&&$.extend(s,{touchStartY:i.pageY,touchStartTime:e.timeStamp}),$.extend(s,{up:a,touchY:i.pageY}),this.menuScroll(t,!0,Math.abs(i.pageY-o))}e.preventDefault()}else void 0!==s.touchY&&((s.momentum=15*Math.pow(Math.abs(i.pageY-s.touchStartY)/(e.timeStamp-s.touchStartTime),2))&&(this.menuScrollStop(t),this.menuScroll(t),e.preventDefault()),delete s.touchY)}}},menuShow:function(t){if((t.dataSM("beforefirstshowfired")||(t.dataSM("beforefirstshowfired",!0),this.$root.triggerHandler("beforefirstshow.smapi",t[0])!==!1))&&this.$root.triggerHandler("beforeshow.smapi",t[0])!==!1&&(t.dataSM("shown-before",!0),canAnimate&&t.stop(!0,!0),!t.is(":visible"))){var e=t.dataSM("parent-a"),i=this.isCollapsible();if((this.opts.keepHighlighted||i)&&e.addClass("highlighted"),i)t.removeClass("sm-nowrap").css({zIndex:"",width:"auto",minWidth:"",maxWidth:"",top:"",left:"",marginLeft:"",marginTop:""});else{if(t.css("z-index",this.zIndexInc=(this.zIndexInc||this.getStartZIndex())+1),(this.opts.subMenusMinWidth||this.opts.subMenusMaxWidth)&&(t.css({width:"auto",minWidth:"",maxWidth:""}).addClass("sm-nowrap"),this.opts.subMenusMinWidth&&t.css("min-width",this.opts.subMenusMinWidth),this.opts.subMenusMaxWidth)){var s=this.getWidth(t);t.css("max-width",this.opts.subMenusMaxWidth),s>this.getWidth(t)&&t.removeClass("sm-nowrap").css("width",this.opts.subMenusMaxWidth)}this.menuPosition(t)}var o=function(){t.css("overflow","")};i?canAnimate&&this.opts.collapsibleShowFunction?this.opts.collapsibleShowFunction.call(this,t,o):t.show(this.opts.collapsibleShowDuration,o):canAnimate&&this.opts.showFunction?this.opts.showFunction.call(this,t,o):t.show(this.opts.showDuration,o),e.attr("aria-expanded","true"),t.attr({"aria-expanded":"true","aria-hidden":"false"}),this.visibleSubMenus.push(t),this.$root.triggerHandler("show.smapi",t[0])}},popupHide:function(t){this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0);var e=this;this.hideTimeout=setTimeout(function(){e.menuHideAll()},t?1:this.opts.hideTimeout)},popupShow:function(t,e){if(!this.opts.isPopup)return alert('SmartMenus jQuery Error:\n\nIf you want to show this menu via the "popupShow" method, set the isPopup:true option.'),void 0;if(this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0),this.$root.dataSM("shown-before",!0),canAnimate&&this.$root.stop(!0,!0),!this.$root.is(":visible")){this.$root.css({left:t,top:e});var i=this,s=function(){i.$root.css("overflow","")};canAnimate&&this.opts.showFunction?this.opts.showFunction.call(this,this.$root,s):this.$root.show(this.opts.showDuration,s),this.visibleSubMenus[0]=this.$root}},refresh:function(){this.destroy(!0),this.init(!0)},rootKeyDown:function(t){if(this.handleEvents())switch(t.keyCode){case 27:var e=this.activatedItems[0];if(e){this.menuHideAll(),e[0].focus();var i=e.dataSM("sub");i&&this.menuHide(i)}break;case 32:var s=$(t.target);if(s.is("a")&&this.handleItemEvents(s)){var i=s.dataSM("sub");i&&!i.is(":visible")&&(this.itemClick({currentTarget:t.target}),t.preventDefault())}}},rootOut:function(t){if(this.handleEvents()&&!this.isTouchMode()&&t.target!=this.$root[0]&&(this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0),!this.opts.showOnClick||!this.opts.hideOnClick)){var e=this;this.hideTimeout=setTimeout(function(){e.menuHideAll()},this.opts.hideTimeout)}},rootOver:function(t){this.handleEvents()&&!this.isTouchMode()&&t.target!=this.$root[0]&&this.hideTimeout&&(clearTimeout(this.hideTimeout),this.hideTimeout=0)},winResize:function(t){if(this.handleEvents()){if(!("onorientationchange"in window)||"orientationchange"==t.type){var e=this.isCollapsible();this.wasCollapsible&&e||(this.activatedItems.length&&this.activatedItems[this.activatedItems.length-1][0].blur(),this.menuHideAll()),this.wasCollapsible=e}}else if(this.$disableOverlay){var i=this.$root.offset();this.$disableOverlay.css({top:i.top,left:i.left,width:this.$root.outerWidth(),height:this.$root.outerHeight()})}}}}),$.fn.dataSM=function(t,e){return e?this.data(t+"_smartmenus",e):this.data(t+"_smartmenus")},$.fn.removeDataSM=function(t){return this.removeData(t+"_smartmenus")},$.fn.smartmenus=function(options){if("string"==typeof options){var args=arguments,method=options;return Array.prototype.shift.call(args),this.each(function(){var t=$(this).data("smartmenus");t&&t[method]&&t[method].apply(t,args)})}return this.each(function(){var dataOpts=$(this).data("sm-options")||null;if(dataOpts)try{dataOpts=eval("("+dataOpts+")")}catch(e){dataOpts=null,alert('ERROR\n\nSmartMenus jQuery init:\nInvalid "data-sm-options" attribute value syntax.')}new $.SmartMenus(this,$.extend({},$.fn.smartmenus.defaults,options,dataOpts))})},$.fn.smartmenus.defaults={isPopup:!1,mainMenuSubOffsetX:0,mainMenuSubOffsetY:0,subMenusSubOffsetX:0,subMenusSubOffsetY:0,subMenusMinWidth:"10em",subMenusMaxWidth:"20em",subIndicators:!0,subIndicatorsPos:"append",subIndicatorsText:"",scrollStep:30,scrollAccelerate:!0,showTimeout:250,hideTimeout:500,showDuration:0,showFunction:null,hideDuration:0,hideFunction:function(t,e){t.fadeOut(200,e)},collapsibleShowDuration:0,collapsibleShowFunction:function(t,e){t.slideDown(200,e)},collapsibleHideDuration:0,collapsibleHideFunction:function(t,e){t.slideUp(200,e)},showOnClick:!1,hideOnClick:!0,noMouseOver:!1,keepInViewport:!0,keepHighlighted:!0,markCurrentItem:!1,markCurrentTree:!0,rightToLeftSubMenus:!1,bottomToTopSubMenus:!1,collapsibleBehavior:"default"},$});
\ No newline at end of file
diff --git a/docs/manual/logo_small.png b/docs/manual/logo_small.png
deleted file mode 100644
index 33030fb11384d32caec8eaba448fd38584424a07..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 10855
zcmZ{KWmFx@w(i0f?(VSA5Zv9}-JOL6cXxLWE4Ty=k`P=H+=B*pcXxl;`|Nkld3W5`
zJ*wyIIlpg8RsHE66{D&wgNj6i1ONa~<zyw*|47ll1_JQUv(naO6##%jv6YZem6MR5
zP<3^(vbDDa00=THOile$bybslwmUnMvvt&QwogA}U=o&ezJ`WGh^2=RM=xNd#UYcx
zK>HH}1Eh;Xo#qG##I7xklJy{$-cZ)^A6(dzUje-rLvT_wC@AqzqK&RTa!}Ezy(l0l
zQ5mQOQVLK0a3T0!<<PG@!875od@u_#!S)f<)SmoU#2@exzT&|MDHItXhNk{TO7<hn
zxk6@$W1r@b#~}%!Os!o1lv!0)Yzj67cXtAiOrj6RU)P;2a0J3JM)JoyO)nxsLVQ5t
zjJ8BDJ-41fV2l6)TSf#5%5yae$`Ug^H6Bf91SACVjwvBzW7-u6T$Kd^H;_?K3?~8B
z2Qq5pkcR9()8lQaD`%yo1Yr21BLLu_umCWBG^jr}0E!3z_qPrJ$U_nTTUUpo{|5sN
z07TgWVE@7B|B-)PrhmpC_CFH30Q%nu(E^zN=zkCZ52LQne*~hltezVHfY$rhfXaA}
zMhpNz=h$lMy6Y+_@>@7LFq?s$%q^L{9i0DS0R+AI|ELa@?q(F;4)%_2{N6&KzY+X@
z^uNq3Ad0^s?sh^TT_sft2`5)e3T|drW>%0e5(Nc?pexvlUtLoAANrp+A&`x`yE8uv
zi<g%dvlj=mldClg8y_DZ3oAPdJ3G@K1e2SOqq~_mlcO8ezk>YVIFgob7Ou9=?zT>j
z6o17vGk5ZE7XpF)O7!pRUv;|MTKy-JquW1i{b`WpFAobFGb_vgMzi#`{r}MZ^8AbT
zcVGWXC-_$|em!+dHz#|KzseHk;}-lo!~bLaPksL){0Fb)XzMP_{txAUnExkB_dovs
zr1@{-|0Jlm+FJgZ$iM4i`zObL+x`pxS9koXw%(TZx{|gImX2<J^}@r=E6DP{dj40Y
z-v5{RU!H%Mf-HZn-+!&=zc$O?)<3&N7)g-j-#bqj$v$Dl6ab)^k&_hD^oH8;gLl`m
zY&;jfTQ*M3UX|c~2P<2M041IVG9^sw5*{SR_!jS^+5gGMmvD)fe=C|F3B3=RpB7J5
z@-rlu0z+Na=`-Ek>hkIc-(B9-*_k+r3{=3;Lr%l)+blodUfxwk$6eFYEA;uBPw{KU
z{gog~=gmPJ>p6}T+-t`9GuZA5pouz;%<_#wOG}GOELp+-^}^(3n<ThRIRdYQ-v9bD
zWZ96A7@-`iyGI}yMi~R=0w!U+i=2GrZ0tS_8}O|dkaG52H*k9WR%ntOXF|A`6e~a&
zQu>iRpO5AXbPA6qB_=}<2;`s1D6&f&dfun4;TCf8WS_`X+p0&F<?B;kVQso6j2GDP
z>*uYC(^Woct(^oKMhYcSLgaq*+qCC9zUNgq3H$gq?}tR#1B_L{1&1l}C#*)ab+>K<
ziN$I!z51_%N9gCwO|lqZQO2!}Ge40#X^vay7EO1N+aP8Uk^Ig9!@%6Pm&`ZJ2uyEE
zGbKsbf}+@(+C3@!lqaH8<ew6~8(dsmQ<s%QG+KI0G=pi%FrIVm#*vxyO0&V82Y9}t
z%B-7xu)2^M;AG~2vbcfFp8Ql(T^)P)a|RAojm#W&qS#K%5#rI&k;Jk@|6B5H7;i9z
zmYxw4L=?p7;$iu<o=7}477*PTnfDFdWM;MIxtlh{?lo|+DL{$&=9zr6_<`<8BMw~j
zeWfcn^jllV%%|Xw??wC7D3H^_6a=7!KNdct5%2e-G8k(3Ki@AjKU`VIZ{!rVT#$x@
zWQ$e-dA31{g=a+1qRdl2R_?l&&R$=Pq1PpwrEO%wJe!`f$fEpm(-3<HLvw_bs`()p
zgs(iIf_lkSPfIM>MemciAM8H<T0d>ER&F(<PW28GZpzqzugJmqxw^qE)4H-wJ`rkC
z5*(Zl=eZ21Uqj~(<0c@^7kvu52Gk7s`|K)$-Tb^}TW*cB#Zh|Y?-7w;Y1=WIq1(qZ
zr%x`cn!H~QrT|BBG4X;V*fq;xYrMyI9kbhhh#0A0!|EQZpb`ezwHrc-kicaqhA>pT
znEe^LagQ}NYyB~G!wIqArIn?lGg(MBItBn=0=4F0KfP(~6n9J^8FBrw4790vX`zu}
zzI-YwZ{QckqQis}Hh>)Yx>~S$T4+7~3ur0XZ3nLL`EJFP_Vj7D#vPL>XK8lLDK9l;
zGTsjJr6+0Wr0J*i*AAa}I06!)DAsCBtM`&#IgW>moOX}f8L+f<Y~cjpJcWk$SOEAa
zUHjgh);Ece<C>?ZD2RDxW|2EE#BILQiST!wS84Ak_~nNX@52Y^@_2kO5U%UATSrB&
zlt#Kd=p!Z-Hd0ts6tL@g7^?{Rm^Sll%;;(~%A}sCgzk_CpvyyD-UB;l+(DwArk)>Y
zKb?@DnVE?^V)ua;6<Wkj{}eDLGBL53Hn%X{bU5j?Dy(_4w5A+1ei-OhJ%o0F7bRk*
zs&aR8eRbx64xGc^8NF#<Iop8XhU?Csd)k%+=s_EPCYfC9hM{^iS#jd&<T55_@@laW
z3x=|ufHxm$KEFw9G;K{bnwjFL@3rB)%Ol?Xu{b}$5@2H$D<9on>&50uNCRv=lsH<|
zyNV7Bwkf%e?%T;HqAkp~XOv~(_%zy{yeCjxgq8Q!Q|tH&fGYc7X9v?zZm(n4IHFLe
z9-d{O!!M8I#($T~%l6pq(4-_($kXvm_XR%IURnDykAgWhv@;SPhJbs~+^PdI_3-^p
zLM{w)?A27#h9T^@LhC{%4FC$7#a?k1GM$SA<QRT00oTsh3qZd>Oran{kBaQ4b+mDh
zCnMWeFlw-$Oz|^b&b(JtD{|}H&7`!OhB@Qfk7p5~r5}m=r61z&UoapLFNwODSiiY#
zm&fn!X{ik<@>)55UY&3SNM<_E*?LwuB=0^-exJaG+nHK=yR@204LxYI8!6>;@gGn5
zc)HwgMm6f@8_u}})3ge^eiJGxA2w{Ux#Z_dabtLBm~%AWc6O^Md)Y_x>e7Y<#e9o3
z-M%CfGKR8W7fN0dgLvO%UKgUt5Tcj?Sa!sp&lyt<DxBJ^XhOinER#l!S>idrkYc+O
zvr=8(3(YC1?f62Zv_$--OCGqy!3le}Odw7MmrbCH#M$0i>}@dG+|cyVVad+ZgyYTI
z!)jZ1I9nzSP(xds5m=@JD3->!???`BJ9AzF%)FB||6PFlb=|q8%f3O5nK8oL^OGkH
zG=`MKq9_RyL6nPMJH<XcVd8lkrk*6kW1%bdl14&YRx9P?^Y^v)rIlwtq~Dy~oa#0-
zi#aLqKCIEp->uUTKPWG13Fh}+C(<Gt8fQ$L=%bi4a00t6_;;xXjwo{Kf+IsE0Knr%
z>4noQEwS8(m~5}W$K^CHMzT;puPD?{ivC5KpJC#trfcS0mCJGyk<&ut1b{bZXVB5Z
z(1cmK1+bJ5ENpB#XT<8aUm}^7s8bcdogm7rEU4n0Pjep($O1Q4VDk9br8n6UG}4!b
zv;9%9^HP}&wApX=^Miukut>x~Efg-vm4zm+ing@hPzw9v#?hIP_L+DtJ?EeoPn63#
z;uV8eSqIofUBuQyp%9Ry@Z=efwlg-OKHH|PiEs!M!VFk^DSGc&fs8BMbdsPnhn~vQ
zBYjo7RwZ<|9Q0B>%o9-;_t`az9sRD$d7L#(Rg)ptMBhDdoLh-GmWXZAyR9Cp9Rx)S
z+%$4-{Bm~x+B((}RQ`(7$%!V<k1#zoMIl1t;{4byrQ`6!s`LjmDG2O>hS~u5#J8P;
zlRw9Nhn{2;ZZ*JII0IER3xJA4g(hPe_>O|k2pY$@BEyLe=cGYIhA~q_VPz*oz|s)b
z+}#%Ot+Q9Rp>tXYpkUPR95!xlK_oo;CaR(H=0`ruxqL4<BLnDw0br^Rs>lX+SE0!M
zddKK<8`6+~Z-&$*j&OJ4DFvN8hOM@c+^4o%-?m3mYu9S)teL%i_i*f5@oYL7dK74)
zM`W9S4ji!qer`aX4!{+xwHKOcH4=2}&=ZWe3i6J(sJbnP#Y0F}|0YU{rRpCHLv(`_
zfo6$OEY`NtMVv5O@M~+Q*a9RqRqu|_+Ygib@j>>g)iQ|s-0-_~P<VQ3Mu79xX4rk2
z&>UC&4p`zUvgSt@PSSwI$7mXBYdjo5w}GM}JO<iG`q7b7;ZJ9=un^HoH%XIy*VcQ&
z2R#Sy1je|`XXtsC-Q+NrLKC=CK?KJ_da3-`kCt{v_o9^?WpMny(1C5(o8dU5*oERW
zGEmston=h`9A#jLKH_Q^ooGZG-40B!BEUF_c<c`4(t_E^R9!tMdN>;?w0<;T!7cX8
zxdDZmP&d$CA$%r|jGoP*cPq_*(pi|Vj9MXET+J9&KQ+Tci3Ta6xuu{WxCIN7nHVKS
zthbMbl5x*E?NnfX{%+kMe*g<waoC7lbUT8e1_?3F!`=Oy=7xgWe$Do7J9~_4F6Jq6
z`gw2hrGA8lQ85~Wmabm|m<{jCdVb)-W~vn#@}2=H=YowDlqyk{AJxi+%;}jF%tH}e
zG$sCFY#T>y`~hk#==S|b2gl~dvci+E9NgM-UtKC*9@GkW?AMs3cw@@o;}pI>i4RgK
z5>bmnRJkJ=7}2{TstuZqJ&S9>aDx=W+<FGlb$srJRowOqkpx#pvas<ceSvqbWmXm?
zM#U9aIy#!7eo%d*`!l%n($Yx^Jv;SHcF9WV2-Iq7lctiyzbd;a3XtH{C=fvU0QKLQ
zk`IXIsqc3vQjjSrunOtD3ww^jI0mu`tDLc_-sOu0c<zU@QZmNs5dJ#zvrK8qfO)RI
z6?xwgv2-Mb+%%i2bS+Z<g<(}VTps8yOpUbR7x3pJOxn+{4dM)S+X8N5gjf8^1K$Nn
z${J7X)?~ZV_2C;(-(+1DeM`i+gnTWh7u`mN;0lskkrVR4ZfU2yeZk{amW-qS9kH@s
zHBW<7@Y!`4pGa2(My!4^GVcn5l{lnMuWL;N);NyPpNw4Jm8d9PUX~>bI-e^+^z7j3
z_styh-ibwV`o@;f(M<fn`r<?132ZiLYpSWw54P~Ig>`qg4;hszDU>}b;44X4L@GMG
zvg9A(8iOxOC#fumP;vuqD^zmkXjKNs>W*`ZxT|d<LYT@5k|=#q51im`ION`}!^7k_
zKL6GikFhP4&to}PQAzP}AdV@@T7TMTZ0uk>xh{+EQOVn*K+|ig&IHsjCqwl3Ay`EP
zp0CnE&a^_(5&JVO0jxD{-OHAitS8@;SlK^grz<I0KMpYRS&$zaR;Q1Ia+o}BGhE|0
zt5j(RUVU=o8*|T~BZ&OL+KfAR390oKEg-HZplN5#S{FAqsx(Rk%(JC`${5~<P2#m-
zRLqPEO8K~p{<xx^KaNye%i{Jy73zal1=gs63kQ6EE%IWn$d-YCF5Kge%aF^&)FM0?
z%C%K(9y;R|)U0Dvff#(1F|z#~;A@#du$1MV#L3z8T<FgZY=T^}7<ORQ5Xy%P*i!8p
zK=uM$!xLJF#WJI@E(CA?!)f~`J_D-cXsr^W?TW|*;svm@X;o$UIsyJxW_iy$2l3GB
z&eoFUFRd=jvLW>?EqaAw=1TU*Jct*h(57WE)G(*vQ7rN*<R648ExvqFkt6lYpIBTz
zY4MnVoX54E5(>z3oPgE$CMK|h?MD+n!CpX?zv|}{Xd-RIjjM#3Im4DRWg&iK6M~I&
z$Ea@;Z7(J1Uh@W0k9>qtd>6W(xe9kNUK<q*fj6<Eo0o|!bUtC<=bMIoIt?IZXP65P
zm?eoG8w{pSf{#=oZB5wq?imQGr2Qc*=z1-&*Z+cA$A%ne>0{-qo(kR>&Uo!Os__c{
z{=9yE?mS2+Vfm74KPiG)0MwADf1>=jOE^B79==}^ZAxjwV3d*J*3QPr^13~ao&{rE
z*ek6dLF??hCQCEUDt-2KHZ8tXIT&rUxetmx1FOz8t?=$%&ql-_YZHGI7LtQ<D02#P
zGpt1s8w+1d2N2@MhiwO>v}jQJt^f-%KZ-rxj1=yqg-z7?vET@{!|qp+u%ae~dU_i|
zM4F<>Psj`hQ8^VP)4j1MgMnmQ(3rxl+TU5%FGe2PbgDt6EW?LxwXPLA=s4qfZalBr
zSeCMi+=LvH;&sY_zYX2}jJTIJeaWxXqgaxUuGleloy8gzf3s8Z>}9&LX+>>RHD40z
zb2WWGvpsaTqjhWSC=zAbxmM2atW||Rau@YBq`pttX=qas?_K;N>a(Pe0qae0OdNWV
zhk36TkA#DSS?}+OHP-UN+Q5qs%g1N>S_yP_5=4LZ{=FDcKJ-|KTJk$B)5Fuy%cASf
zi!|$ql!u7%eiJwAVv{wm=F<beQCvuII1=DmGK}E;vccK8@M@oEv&Sfc8Z-WO1$AQT
z^0Cspn3OZcdmh-cWWpTL)dP2C{%&WPz^$#q5t}_T-J}XUQV{`y9N+Q%d&2iUI5N?F
zN<o5#<geK!CASBp0ShSSIZa;lT>A6?;m*raHYR%Ptx3AguK3e;Va5d@4XDip8Vb|U
zi3JZbt0If*`&e~^@}90ZkXl|I!V9U<dAJoi&T>13<~zdmA!g|5NsWTR$uM4Fs2hG{
z?P5Z~JlH`<I;{1QeyoP}g^91FT19k}&(H~BYQh%<A>Ssy7bupdld%gIl(JFAYZSGK
z#e}YGf#VEfyc1hna`Q4g#Y)=cAI=-yfL%)Q8uRFrao+aY<t;19se@Z1OE-CQTe991
z_R6-GcBiEuffdQ<$DMsv&sOzZ>DgQK3_8aaLd;*N_)yY387oPAz_183=IddMz*{Ky
zX<iJ)aUlOY%+X?gSsvZ>M%?ck^@@nKC{)Q*zN%ig-NiHu&TB94O_#6*OdnygMTJWU
z+B<4PM7arBDd1xikz6A9)^8u^;bQUUNf&ZPx?q%|>IFe(QiesZ!mN*(0yo-_y{qr$
zP|+YPkm!1Rc%fU*XsNX^-cRSV>ZPx1fjAzuz#c~^D+O`(t~z_Y?4%*W8RBNfHVLd9
zcMbElG<AdsO#<BH*<9OoqOpdLjkhSfU9BF%-NNar7!uhIoWEGVf!xgo6dfynZHKXC
zlPgNoLHw@Qg^ba0KuNDGIpnilH-z6NqGmTTYM>xVViP3s(AcbP*ZJdT(73V6_Mtc#
z>lm`#pb*BQS^?-i0n`a@)3A%JfC;~Q-Uu{ca8k^LuFPc9t|ly=eS6oD(Zt4HcjpI-
zK1M3gYvkN6fG(PXnOT}-mjjr!B(Np&d_5wCANd<8T-BJ&ch*m^f}4k5(U%IJ8GCx8
zoXmj{UVoV@$&BPXBVORLeMD)^DXe$Fhp!;Cy6aQZkO6ZSIePhRL>-riKDggGvfv|A
zjAxtiYMU{|xePH@CfrbEbO8T{!)Iz6qTk}NJ&4S;<iEAwD}G7`gwZXtva=!_(4#Rm
z8|%MnM(fq%vBzFgG|`jyy5bhVAbNIuBC2tMWw@_MN57O`ho!VsOlI|&2WQWqPHu4{
zNkT{WN}|TG5~I*YON$Rkedz*!>zvqk9^{+)uvQYTO59EET;_n4uCy#YT!^Ewe<F%;
z!s*lmIB^RbI4hKuj>e2eJ@+qZA}VOGznM^-z>Y?(gT!==2sjqO66|~Pp?EHnx%)Fh
zF1ew}2@yeTHDNcwfYRO`KFauOR0%5xv>_0tU<dkag5dmnT-RqA^D-H;Iyh`*ZtUhs
zwYnn2j0nHUj;+oZ(DoHuc{??MGJL2ZAS^mgiK!@Iqx@Vkz@nYnFc$VU7(RoQBQ~#8
z9%ywfMNhQifRT_wNv#Hw1R|)hiZhFRV!@?oImVROW2#!S$M~krAz5JLm1y_!?o$O;
zhWO+q`4_y#uG<rkD110JGGl$b_C0Gg6Fa1Qc1!8mM?|Sa(&7g>B8Dir=)@Br{n;be
z1ji(}n30FGv1@o|2aumA&SaJT+vdsPNjQ||OJ-51n}kV_z;-$#0Npp@V?R~l7r4?;
zbLQc<q3L9#V*lBx9h^8EOr%~%+D=M4Bbykr*d7fqG<y8u4q7z}g@$andLkSpsP^Q*
zDio_kw?>n&)L7>MZu!QIJ(|ihpGq5W=2_g+v2!DpN9y(J(S$JSt9{6=Vf0IznO4B4
z?z1z}XUpvs3F&HOMVx@pZ@dFvQAkT~;h%+dC@6ILX)5_b@NvzWQJ~Aqo{MzP2Wmn9
z3@xT+h>8;5?@wR1l5z3ToL1{Ge(<lr_D^C`Pq3&KBAAZ99~alWfG)`R;Oxa2p{S|5
zYLB3z2<>CfiNf}fjLCtWfO=?(>4a6OX+=(qg1OG3Wio^TKOH^vV`t}R#ANw-UO_yT
zi*1NK#B_9{vprY8y$DQ1U0Uj3jHl8fM;)g_0S4k1T}gB=LRkBPl0F?5<$BdT+8Mc(
z$$ps*g{G>P%}~$JO7R<@`q_S}!2WfG7}s3jXFk{TBxVd`jL5S6han&A!$l#c?654V
zZ4lXrF_dIHL_@_5d$2S^JkW((@O4nYc_o2QRaZT>rOkfd$uT%d#1|j@&PO)5Wqs<X
zYc&u_@^W5vlPlT>I;jV(=6iKPb7MR?5l1jDcd0@FiuL@r3)LDIuse=?GKWS{kI5kk
zXD2fH>hl1H(n+jZE}CodNihzRg8GNUQW2+zohMveTu!k(d#h-`b_g#<@Xr3{{qvuN
zpS*+A4X>FVT_kF{2zgul`zz6rk?7}oI|WP>C^7L_t*mPq-vw3*%FkHU&%4plNnHlV
z(gjB-SLjEq79ceT@+>;h4Sv0iVubZqCR6mIK)IbIiRwUw3=c~a2ki^V8V6zzrm<5*
zZ`4^g!z<D6a=W>Tk%=INt6`QW85RIVqN%ZdR2QSOkL(5QY|+miks}XX*|2xwMXxik
z2@fj71q?;-QV-CK**l!&jKJMrjm)jK_$edp(C}*N=mh10o))pG5mKZpzm$}eF#2#4
zNY|P32t*dP2KR*!JZgs{cq|#@zxP)cP*7hkacKSZyfNO*e|PM6c=)bDEVoZefP-DE
zm$j2`nKe=VJ--@UyC_O=tq8mt&kAbgvu$t@x>)=Zj9_WcSMt?PzIm9|@wLeCx+4nu
zkKNvG=-~9-P(}tIuO;v2M^-SI&7PeAu%gc3ET=kS*Yie1gD_U6@w6Is&hY0%;8~-C
zc?-4i<7mHX<6r`%FId;L4!19CEs>-S(*wWDp$Jp_O@nGMO_0K;g2NZ9lA)e`;y4wf
z@*!6l<q)c<gh81$9%aE~*z643m`kQs6Tx5{{cwLfe1CmEW_n$cX-%I8VeZWwRWVxx
zpWh@1Uvql6^YWCLAaFyDK;V%L66vct6Cb*9oXPt9iZ%hd9NtDD5cq~K|M6E8*Uu%`
z01xT&L=@41M3LZB>v=b&YR$v+=NAR;XPq=%FX7&<rk^jK2sN$=k+ahmAcr$m)03lo
z8D_tm9@`#igZ{*qCkc`#hiydWHA;XF;*8DqS2;_NjJmNt=Qf=QJu3uI;}@9u=z|iU
z+QYis<9Yk=GYAUH();-NlRz5@nR8bBa#g+V{#!dPnYSw`JsWcUTlF}F#}M>-1UrVs
zghZ4~$j*FO=k;Cipe@|hf<*8;GgX@1P}R!F@PoJlpCD9fYs>D(Js#1uO!A)L{FPC=
zC%<rREoy4~48f8v6wNt<pAA?9fKAaJqFgo%svE*;l3X07N58pp2Z_K+F+xnt`DWh+
z_`b)~X5&kmI=?|qtR{MS=9plD!hBdUawokr962~$7XU&gQ1Fh7mkefxD3W8*AmhvI
zqJ~z{-8f2O91hN2t+z9-oKE-qpw)yd9<m)?JR1*^L30gJyflEBoD{|Q7?iCix9JZA
z@I}SG=hodeBSv3ID77If-D*vDEE&wm`!m3p!(EWaB|(Nj$37pw)4_WBn>RaJ*Lw7-
z@6)a2DXwpaYNhH0LyWpQM#f-w{;UA<R`E>qofHVO{O1z0900^JU)~*$QWYF*k6&Jb
zjfjiMa;<q>6}zmiy?YHG<}anyc7HqrCj;YX0^a;6v!)Iu;BGZanNrZ?x?kb2esBm)
z=A{>cAV*c4g5g4;s0gEW2~M^$hogH>iZe7K8Xle^SvbO&8X^dN71iisQxk}K$n8L>
zob_g!EtRF-SjGHsxMcE;v#Gz~<avd6x1~Jx`8k;^&RJ&YVBa)Z>pr4`4(M_wFUd$A
zPegQx_D-(%z%J<`8{A9{B^wo^$RJG|$rp2Ye;axTK%`o0dBU?RB1ossg03EB#y%8p
zEeM=EYijA6qDebleCDO)KY2nY!B_c|a%5us5ml({sIZ}eECZB>B<4VuGBPoz69S7}
z;#!Y$c}=Y<NfGkd+}Tb>jG_B;@d(O$o$B4`+WfPp_1rn?iZr?#+-2{(lgL2Q>DQ)T
zg>EpA2()*Wzeco%rxa6I)UXJDfX6hK5=n_$G?d!XSd~twG0C&qM>Zdn%%7(@HUO8Q
zgUWthYn!R4OH%N@ek^#zLzy%i+h-$OT>F>FR1*2r89#NtgS8#*sCM37x)N-^fAkXT
zXAC^3M7oU>;Qr>8xz?#rgzT-ld%+sOwiwL#<N5;s{>$0}LcW_%r8nkk+C|a*rQO`6
z9nb2xp%#DIF;RZw`eK>_`C3Nq-ItR-aJ3URDC<6(LUtWD(|!UYf_{IW6k=366PdmR
z%Y6STz!bjiwQB6omcnauMhH1Yb?usJAJxu@x6ur3Ctg4bgAeu-7XG+;2D1|~3|HOa
zL>7}uN4tu<ThEpB^Zqy?_r<~s92IBgI!3L`km+We6y@41l-^<&9NS{`F1&<V?2c;u
z>SClcOr3i3GdrOZM?&18ok}Pb16=87`(Z@mOIskW+uewK!~g+-zXW!y<WMU%s#)r$
z8-uZOxZK??olIKn_vvCJHxB(lpmE~M(EWR?V0Q?lleNgeOe0#`eIZ~@m-Lhuw}+p-
zxEoDLNyR6=Xx8G>o(COYMTAUSXt+W7mpGnbn))yS&*W19U+3H!2XA9nX_P!b3@`%=
zn_5?`KNOiC1}grcq|@AC&Ad@`{DJbT53lUt$SZ~0V|<y)@v{X?$X52rPL}7+Zr&=_
z3e8YduO1;fHxWrwc2y01Ns^gcQASy+dGVTTe9SV3+U(QrypxDY3Lsh#>nv2fibG$S
z1Y=~^{)7}rz-0=uAPEd{ygWSS9YKw=&NTfgwkdhy#qWbUOsZFYzq06K{teukgS`K#
zU%KSSDfnRC^i8q0=M$ndlYSb-BQXJG3OIywky$bNL`7*tI4_mwq~NQK%fO_`SbsdC
zRk_b-B?XD(0VZK#dBU~m%8Ocm{k)3E`scp!>uVTybf_Hiuo-ruS!I<iyv$!&*yN;v
zK$qrCv5H!w4JVDr=bDaWGW2WR6P42vNw>VygS&KrWnD5J4O7le;uosdQ!5{E=iXY}
zO4*uAsR_FRLm_L;xoJbR)8}%Qi<cq7TJo#`6{d`SoL{`3Ouc5EwW&_}zRp?v_DOE9
zXJnM8(2{wOLTZS@eIL({P1a+}D<z3~WsjdSK)z#OcTkP|wH#K!(0-Pj>x|X?!ekuX
zdsnX->zy=dU_V;^?}n$gtSm6&RuFMYe*EuNbD!rr*yh2<?f7JOlec{bm12dq(WA8H
zV>JCyZ?RZ-EIjEEOD=K}D{I>FQc}K|I`EK|Mp9L6WooW?w^<jg5+{&EmxtGHZ)N}^
z5b}5&^(`JEk2y>QvS0^o4}ZQM@)qt4zI9(FF*V9r0h^)b@~2;^221o~D3O0?e&Wf2
zfBa!T+~+s??kt}F^!^Bfh$mpk-oH^q(1uD4xn}+dXPH2!4F6*|W;`(_UN6)F-ASr@
zL#Q_cpY~~BZ3Jtb+(^{Yy%~q~19aw^%#f-*3^SvtnR>Sbc)q*@C?j3a(L{$lKr)HW
z8!=-r>-Vij*<zc*-9bP!z;jI=7$as&)(T}w=YF}>eSMTS5@m#L-hbI0GJ?#)@=BwP
zuwZ;8*Flo5?5aPC|GZDtjVl|d7rV;F+()0577Ghar=2x&#a>8`uJ<^T0%7I|B^&4T
z$P>v=ctKAa9T)lal0YufD-7&2793<P=vfDx@RkmLt4A*<1&kw@PB`_jizLxmCBJ>;
zg9YhDSkZ~AB`BNIq=5)G8cFwYsi0&ncaLt)^{x*(>@LsA*voj+R}=e`+2Q51KQtPv
zPCR^(f9~;kDT@7h9It617@a^*BOMNf(=GYH_8ZS^!J)habrhoDzBp+zfFm$+wQe4!
z%h-|pKzXOoPz%-CEAyL2azpjwv9pvl<!N)HQ?!SBLvTwqrlP~m`o05N_cmjSA_Hn~
zA038Iln#08ifS^(9=4}0)vVxE)-VxfmmXOB(9&JonOPjxr>U#{r1&&MSRy#!saS)_
z<5ve&(#FJke*!^tA&sq5ZE5`?=`~Ogq|<TJ;5;ggj1)fA*=poL9gjP><7!c(UkDc$
zH^p5K+dL_}?_>|$TBktCtwa<LOjHG>z*23pCt*Vtm#z?*->&d3Z=DICg`PU7ti5%=
zeTv%V3&b$z1E7B}s~To%dkK6Ep=%P6v<ljYz(*Jf_~nTHvr)xk>AO>(@U^R!;E&98
zL9+q($XUOrUxFkK+h$M3WPv}!g6?NJo?o*fd%$Q@2$%?$28}uqBIlV5dJnaE1Jx$Q
zi*Gxbm>wQX$hRj;_}1<ZPKyr*h-64XV-n^uBA_-1lw2(N<t}{YsxSG^he>=gO1BIP
z=%{6uxgWq=S5jIe1m7=ji#-hkYl6O&!Z~0)dd)F2bwX;|lIM-S>bn%u@HvwpA=*C&
zCKO7wiFZGKyj2>l;B)3z{O;OV{L6mfRfolXenI5;lO3zVM7sK_+ljx09n1HFMc0M8
z7O9_Yjzd~14ojY*u4@7B+0Jl3bg#gp4VGD1(bfs)XIW?DmguHYo3uuuW}^qX9QRpx
z?9r3riA#!Ol67l}n~QI5u?Sss7SBgG^Ip)hEd9s?fVaaXLIlcJ-=tO&gaTgl9Gm8F
z3KJKC&RS=T<|77aQt;a^Li_vs-<h`vVvV5rN|z8ZD=AWMlwanahJ+Zn&+gMWvg~m!
z!I6|UdUv4Nqn3pNBg@WebZ1_Bd%Tn=?XdDg&BDLwhQ@10;|@lE0?f>S7s%oy>M>>N
zs(Q}c<oPb=gBRJ4QSe1V%C%CMrK@j)rP*0ui5VES{WnDn3yo5QX!}!wj3{L+F~rRC
zJeAw&yt>UBh*0?+<dO#r=np?oB9v=ZDlQ&$94<5oizFCr{o>Z4UJtSQGJ~dG#TWfG
za8MUjS7bs%_*saZ8_#9k+d|PvBX`m9PLdu+9)AlDZJZ&`p2jZaVTg1Np`;!`@x!|a
zV+=vLRh9Zn*YFB$>}TO^xi@l2z?92|I0KGWwSGhF>f{7~=Kd6cfmbmuz`+C&Q`Q93
zgFpQtTwo9meYO8-M_7<-iiZ~00%|c%3Ue%)3sChA=|V)BeslOd$0XNyyDsqJo7=@^
zo9__syeB^jCS8?c`IAbUoGEAxgRIqT04+XP!4$FE{o-8H=Kkj~`T`SbWFfv6Q@tDA
zqHm(g!;7czasN}twBvjyzLw+m7FL~iGEHlo&Pun_;|fQuAuKOAmos`<YWvO7`<Wh@
z3ab~Jic#>T`i09ziQBy4do-LS8giu|xAlS2^Z41KYalU$!c-DQ;&M>zZJ5-05DZF+
zp1IO_;Mk_=$Sv%`ipj4*#p#1z!DGUb<=u%mV_8900XFYs1H>iNuip|+h;t~as+|n(
zhXu&rj(3Fe|NKYJpb)uucJj-2uK5vBK;hoKWxx^?n=dkme*X<hOu1mNB|I;WjA1i$
l_Vo_@K%VXVhJW=UvUBwGv%6VZ^RMHEa#G5YHR7hB{|E0)+YtZ&

diff --git a/docs/manual/menu.js b/docs/manual/menu.js
deleted file mode 100644
index 0fd1e99..0000000
--- a/docs/manual/menu.js
+++ /dev/null
@@ -1,134 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
- */
-function initMenu(relPath,searchEnabled,serverSide,searchPage,search,treeview) {
-  function makeTree(data,relPath) {
-    let result='';
-    if ('children' in data) {
-      result+='<ul>';
-      for (let i in data.children) {
-        let url;
-        const link = data.children[i].url;
-        if (link.substring(0,1)=='^') {
-          url = link.substring(1);
-        } else {
-          url = relPath+link;
-        }
-        result+='<li><a href="'+url+'">'+
-                                data.children[i].text+'</a>'+
-                                makeTree(data.children[i],relPath)+'</li>';
-      }
-      result+='</ul>';
-    }
-    return result;
-  }
-  let searchBoxHtml;
-  if (searchEnabled) {
-    if (serverSide) {
-      searchBoxHtml='<div id="MSearchBox" class="MSearchBoxInactive">'+
-                 '<div class="left">'+
-                  '<form id="FSearchBox" action="'+relPath+searchPage+
-                    '" method="get"><span id="MSearchSelectExt">&#160;</span>'+
-                  '<input type="text" id="MSearchField" name="query" value="" placeholder="'+search+
-                    '" size="20" accesskey="S" onfocus="searchBox.OnSearchFieldFocus(true)"'+
-                    ' onblur="searchBox.OnSearchFieldFocus(false)"/>'+
-                  '</form>'+
-                 '</div>'+
-                 '<div class="right"></div>'+
-                '</div>';
-    } else {
-      searchBoxHtml='<div id="MSearchBox" class="MSearchBoxInactive">'+
-                 '<span class="left">'+
-                  '<span id="MSearchSelect" onmouseover="return searchBox.OnSearchSelectShow()"'+
-                     ' onmouseout="return searchBox.OnSearchSelectHide()">&#160;</span>'+
-                  '<input type="text" id="MSearchField" value="" placeholder="'+search+
-                    '" accesskey="S" onfocus="searchBox.OnSearchFieldFocus(true)" '+
-                    'onblur="searchBox.OnSearchFieldFocus(false)" '+
-                    'onkeyup="searchBox.OnSearchFieldChange(event)"/>'+
-                 '</span>'+
-                 '<span class="right"><a id="MSearchClose" '+
-                  'href="javascript:searchBox.CloseResultsWindow()">'+
-                  '<img id="MSearchCloseImg" border="0" src="'+relPath+
-                  'search/close.svg" alt=""/></a>'+
-                 '</span>'+
-                '</div>';
-    }
-  }
-
-  $('#main-nav').before('<div class="sm sm-dox"><input id="main-menu-state" type="checkbox"/>'+
-                        '<label class="main-menu-btn" for="main-menu-state">'+
-                        '<span class="main-menu-btn-icon"></span> '+
-                        'Toggle main menu visibility</label>'+
-                        '<span id="searchBoxPos1" style="position:absolute;right:8px;top:8px;height:36px;"></span>'+
-                        '</div>');
-  $('#main-nav').append(makeTree(menudata,relPath));
-  $('#main-nav').children(':first').addClass('sm sm-dox').attr('id','main-menu');
-  if (searchBoxHtml) {
-    $('#main-menu').append('<li id="searchBoxPos2" style="float:right"></li>');
-  }
-  const $mainMenuState = $('#main-menu-state');
-  let prevWidth = 0;
-  if ($mainMenuState.length) {
-    const initResizableIfExists = function() {
-      if (typeof initResizable==='function') initResizable(treeview);
-    }
-    // animate mobile menu
-    $mainMenuState.change(function() {
-      const $menu = $('#main-menu');
-      let options = { duration: 250, step: initResizableIfExists };
-      if (this.checked) {
-        options['complete'] = () => $menu.css('display', 'block');
-        $menu.hide().slideDown(options);
-      } else {
-        options['complete'] = () => $menu.css('display', 'none');
-        $menu.show().slideUp(options);
-      }
-    });
-    // set default menu visibility
-    const resetState = function() {
-      const $menu = $('#main-menu');
-      const newWidth = $(window).outerWidth();
-      if (newWidth!=prevWidth) {
-        if ($(window).outerWidth()<768) {
-          $mainMenuState.prop('checked',false); $menu.hide();
-          $('#searchBoxPos1').html(searchBoxHtml);
-          $('#searchBoxPos2').hide();
-        } else {
-          $menu.show();
-          $('#searchBoxPos1').empty();
-          $('#searchBoxPos2').html(searchBoxHtml);
-          $('#searchBoxPos2').show();
-        }
-        if (typeof searchBox!=='undefined') {
-          searchBox.CloseResultsWindow();
-        }
-        prevWidth = newWidth;
-      }
-    }
-    $(window).ready(function() { resetState(); initResizableIfExists(); });
-    $(window).resize(resetState);
-  }
-  $('#main-menu').smartmenus();
-}
-/* @license-end */
diff --git a/docs/manual/menudata.js b/docs/manual/menudata.js
deleted file mode 100644
index 1cdd58f..0000000
--- a/docs/manual/menudata.js
+++ /dev/null
@@ -1,32 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
-*/
-var menudata={children:[
-{text:"Main Page",url:"index.html"},
-{text:"Classes",url:"annotated.html",children:[
-{text:"Class List",url:"annotated.html"},
-{text:"Class Index",url:"classes.html"},
-{text:"Class Hierarchy",url:"inherits.html"}]},
-{text:"Files",url:"files.html",children:[
-{text:"File List",url:"files.html"}]}]}
diff --git a/docs/manual/minus.svg b/docs/manual/minus.svg
deleted file mode 100644
index f70d0c1..0000000
--- a/docs/manual/minus.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
-  <g>
-    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
-    <rect style="fill:#fcfcfc;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
-    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
-  </g>
-</svg>
diff --git a/docs/manual/minusd.svg b/docs/manual/minusd.svg
deleted file mode 100644
index 5f8e879..0000000
--- a/docs/manual/minusd.svg
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
-  <g>
-    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
-    <rect style="fill:#000000;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
-    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
-  </g>
-</svg>
diff --git a/docs/manual/nav_f.png b/docs/manual/nav_f.png
deleted file mode 100644
index 72a58a529ed3a9ed6aa0c51a79cf207e026deee2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 153
zcmeAS@N?(olHy`uVBq!ia0vp^j6iI`!2~2XGqLUlQVE_ejv*C{Z|{2ZH7M}7UYxc)
zn!W8uqtnIQ>_<lqdB{jiFDSaaN3W^xbJMH7CDK7=Q3_$6tQ&<~Cp4L6ZEndC`8;cO
zrss?`_g+2sGU&M|cu~La_w1Rnf~7w`e!jQgteDwDLg6kW!`DinT@0SCelF{r5}E+Y
CM>z8U

diff --git a/docs/manual/nav_fd.png b/docs/manual/nav_fd.png
deleted file mode 100644
index 032fbdd4c54f54fa9a2e6423b94ef4b2ebdfaceb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 169
zcmeAS@N?(olHy`uVBq!ia0vp^j6iI`!2~2XGqLUlQU#tajv*C{Z|C~*H7f|XvG1G8
zt<j{B<-5i=y8aRCp6>7aS*L7xwMeS}!z6R#{C5tIw-s~AJ==F^i}x3XyJseHR@yF&
zerFf(Zf;Dd{+(0lDIROL@Sj-Ju2JQ8&-n%4%q?>|^bShc&lR?}7HeMo@BDl5N(aHY
Uj$gdr1MOz;boFyt=akR{0D!zeaR2}S

diff --git a/docs/manual/nav_g.png b/docs/manual/nav_g.png
deleted file mode 100644
index 2093a237a94f6c83e19ec6e5fd42f7ddabdafa81..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 95
zcmeAS@N?(olHy`uVBq!ia0vp^j6lrB!3HFm1ilyoDK$?Q$B+ufw|5PB85lU25BhtE
tr?otc=hd~V+ws&_A@j8Fiv!K<?EJwDd;c`qumW{3c)I$ztaD0e0syCC7$E=v

diff --git a/docs/manual/nav_h.png b/docs/manual/nav_h.png
deleted file mode 100644
index 33389b101d9cd9b4c98ad286b5d9c46a6671f650..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 98
zcmeAS@N?(olHy`uVBq!ia0vp^j6lr8!2~3AUOE6t22D>F$B+ufw|5=67#uj90@pIL
wZ=Q8~_Ju`#59=RjDrmm`tMD@M=!-l18IR?&v<Kx}xDV3h>FVdQ&MBb@0HFXL<NyEw

diff --git a/docs/manual/nav_hd.png b/docs/manual/nav_hd.png
deleted file mode 100644
index de80f18ad6488b9990303f267a76fdc83f0ffd80..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 114
zcmeAS@N?(olHy`uVBq!ia0vp^j6lr8!2~3AUOE6t21`#D$B+ufw|9379#G(63FK{W
z5s<eodL#E@zbS9{Dekh>6W-eg#Jd_@e6*DPn)w;=|1H}Zvm9l6xXXB%>yL=NQU;mg
M>FVdQ&MBb@0Bdt1Qvd(}

diff --git a/docs/manual/navtree.css b/docs/manual/navtree.css
deleted file mode 100644
index 69211d4..0000000
--- a/docs/manual/navtree.css
+++ /dev/null
@@ -1,149 +0,0 @@
-#nav-tree .children_ul {
-  margin:0;
-  padding:4px;
-}
-
-#nav-tree ul {
-  list-style:none outside none;
-  margin:0px;
-  padding:0px;
-}
-
-#nav-tree li {
-  white-space:nowrap;
-  margin:0px;
-  padding:0px;
-}
-
-#nav-tree .plus {
-  margin:0px;
-}
-
-#nav-tree .selected {
-  background-image: url('tab_a.png');
-  background-repeat:repeat-x;
-  color: var(--nav-text-active-color);
-  text-shadow: var(--nav-text-active-shadow);
-}
-
-#nav-tree .selected .arrow {
-  color: var(--nav-arrow-selected-color);
-  text-shadow: none;
-}
-
-#nav-tree img {
-  margin:0px;
-  padding:0px;
-  border:0px;
-  vertical-align: middle;
-}
-
-#nav-tree a {
-  text-decoration:none;
-  padding:0px;
-  margin:0px;
-}
-
-#nav-tree .label {
-  margin:0px;
-  padding:0px;
-  font: 12px var(--font-family-nav);
-}
-
-#nav-tree .label a {
-  padding:2px;
-}
-
-#nav-tree .selected a {
-  text-decoration:none;
-  color:var(--nav-text-active-color);
-}
-
-#nav-tree .children_ul {
-  margin:0px;
-  padding:0px;
-}
-
-#nav-tree .item {
-  margin:0px;
-  padding:0px;
-}
-
-#nav-tree {
-  padding: 0px 0px;
-  font-size:14px;
-  overflow:auto;
-}
-
-#doc-content {
-  overflow:auto;
-  display:block;
-  padding:0px;
-  margin:0px;
-  -webkit-overflow-scrolling : touch; /* iOS 5+ */
-}
-
-#side-nav {
-  padding:0 6px 0 0;
-  margin: 0px;
-  display:block;
-  position: absolute;
-  left: 0px;
-  width: $width;
-  overflow : hidden;
-}
-
-.ui-resizable .ui-resizable-handle {
-  display:block;
-}
-
-.ui-resizable-e {
-  background-image:var(--nav-splitbar-image);
-  background-size:100%;
-  background-repeat:repeat-y;
-  background-attachment: scroll;
-  cursor:ew-resize;
-  height:100%;
-  right:0;
-  top:0;
-  width:6px;
-}
-
-.ui-resizable-handle {
-  display:none;
-  font-size:0.1px;
-  position:absolute;
-  z-index:1;
-}
-
-#nav-tree-contents {
-  margin: 6px 0px 0px 0px;
-}
-
-#nav-tree {
-  background-repeat:repeat-x;
-  background-color: var(--nav-background-color);
-  -webkit-overflow-scrolling : touch; /* iOS 5+ */
-}
-
-#nav-sync {
-  position:absolute;
-  top:5px;
-  right:24px;
-  z-index:0;
-}
-
-#nav-sync img {
-  opacity:0.3;
-}
-
-#nav-sync img:hover {
-  opacity:0.9;
-}
-
-@media print
-{
-  #nav-tree { display: none; }
-  div.ui-resizable-handle { display: none; position: relative; }
-}
-
diff --git a/docs/manual/navtree.js b/docs/manual/navtree.js
deleted file mode 100644
index 9027ce6..0000000
--- a/docs/manual/navtree.js
+++ /dev/null
@@ -1,483 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
- */
-
-function initNavTree(toroot,relpath) {
-  let navTreeSubIndices = [];
-  const ARROW_DOWN = '&#9660;';
-  const ARROW_RIGHT = '&#9658;';
-  const NAVPATH_COOKIE_NAME = ''+'navpath';
-
-  const getData = function(varName) {
-    const i = varName.lastIndexOf('/');
-    const n = i>=0 ? varName.substring(i+1) : varName;
-    return eval(n.replace(/-/g,'_'));
-  }
-
-  const stripPath = function(uri) {
-    return uri.substring(uri.lastIndexOf('/')+1);
-  }
-
-  const stripPath2 = function(uri) {
-    const i = uri.lastIndexOf('/');
-    const s = uri.substring(i+1);
-    const m = uri.substring(0,i+1).match(/\/d\w\/d\w\w\/$/);
-    return m ? uri.substring(i-6) : s;
-  }
-
-  const hashValue = function() {
-    return $(location).attr('hash').substring(1).replace(/[^\w-]/g,'');
-  }
-
-  const hashUrl = function() {
-    return '#'+hashValue();
-  }
-
-  const pathName = function() {
-    return $(location).attr('pathname').replace(/[^-A-Za-z0-9+&@#/%?=~_|!:,.;()]/g, '');
-  }
-
-  const storeLink = function(link) {
-    if (!$("#nav-sync").hasClass('sync')) {
-      Cookie.writeSetting(NAVPATH_COOKIE_NAME,link,0);
-    }
-  }
-
-  const deleteLink = function() {
-    Cookie.eraseSetting(NAVPATH_COOKIE_NAME);
-  }
-
-  const cachedLink = function() {
-    return Cookie.readSetting(NAVPATH_COOKIE_NAME,'');
-  }
-
-  const getScript = function(scriptName,func) {
-    const head = document.getElementsByTagName("head")[0];
-    const script = document.createElement('script');
-    script.id = scriptName;
-    script.type = 'text/javascript';
-    script.onload = func;
-    script.src = scriptName+'.js';
-    head.appendChild(script);
-  }
-
-  const createIndent = function(o,domNode,node) {
-    let level=-1;
-    let n = node;
-    while (n.parentNode) { level++; n=n.parentNode; }
-    if (node.childrenData) {
-      const imgNode = document.createElement("span");
-      imgNode.className = 'arrow';
-      imgNode.style.paddingLeft=(16*level).toString()+'px';
-      imgNode.innerHTML=ARROW_RIGHT;
-      node.plus_img = imgNode;
-      node.expandToggle = document.createElement("a");
-      node.expandToggle.href = "javascript:void(0)";
-      node.expandToggle.onclick = function() {
-        if (node.expanded) {
-          $(node.getChildrenUL()).slideUp("fast");
-          node.plus_img.innerHTML=ARROW_RIGHT;
-          node.expanded = false;
-        } else {
-          expandNode(o, node, false, true);
-        }
-      }
-      node.expandToggle.appendChild(imgNode);
-      domNode.appendChild(node.expandToggle);
-    } else {
-      let span = document.createElement("span");
-      span.className = 'arrow';
-      span.style.width   = 16*(level+1)+'px';
-      span.innerHTML = '&#160;';
-      domNode.appendChild(span);
-    }
-  }
-
-  let animationInProgress = false;
-
-  const gotoAnchor = function(anchor,aname) {
-    let pos, docContent = $('#doc-content');
-    let ancParent = $(anchor.parent());
-    if (ancParent.hasClass('memItemLeft') || ancParent.hasClass('memtitle')  ||
-        ancParent.hasClass('fieldname')   || ancParent.hasClass('fieldtype') ||
-        ancParent.is(':header')) {
-      pos = ancParent.position().top;
-    } else if (anchor.position()) {
-      pos = anchor.position().top;
-    }
-    if (pos) {
-      const dcOffset    = docContent.offset().top;
-      const dcHeight    = docContent.height();
-      const dcScrHeight = docContent[0].scrollHeight
-      const dcScrTop    = docContent.scrollTop();
-      let dist = Math.abs(Math.min(pos-dcOffset,dcScrHeight-dcHeight-dcScrTop));
-      animationInProgress = true;
-      docContent.animate({
-        scrollTop: pos + dcScrTop - dcOffset
-      },Math.max(50,Math.min(500,dist)),function() {
-        animationInProgress=false;
-        if (anchor.parent().attr('class')=='memItemLeft') {
-          let rows = $('.memberdecls tr[class$="'+hashValue()+'"]');
-          glowEffect(rows.children(),300); // member without details
-        } else if (anchor.parent().attr('class')=='fieldname') {
-          glowEffect(anchor.parent().parent(),1000); // enum value
-        } else if (anchor.parent().attr('class')=='fieldtype') {
-          glowEffect(anchor.parent().parent(),1000); // struct field
-        } else if (anchor.parent().is(":header")) {
-          glowEffect(anchor.parent(),1000); // section header
-        } else {
-          glowEffect(anchor.next(),1000); // normal member
-        }
-      });
-    }
-  }
-
-  const newNode = function(o, po, text, link, childrenData, lastNode) {
-    const node = {
-      children     : [],
-      childrenData : childrenData,
-      depth        : po.depth + 1,
-      relpath      : po.relpath,
-      isLast       : lastNode,
-      li           : document.createElement("li"),
-      parentNode   : po,
-      itemDiv      : document.createElement("div"),
-      labelSpan    : document.createElement("span"),
-      label        : document.createTextNode(text),
-      expanded     : false,
-      childrenUL   : null,
-      getChildrenUL : function() {
-        if (!this.childrenUL) {
-          this.childrenUL = document.createElement("ul");
-          this.childrenUL.className = "children_ul";
-          this.childrenUL.style.display = "none";
-          this.li.appendChild(node.childrenUL);
-        }
-        return node.childrenUL;
-      },
-    };
-
-    node.itemDiv.className = "item";
-    node.labelSpan.className = "label";
-    createIndent(o,node.itemDiv,node);
-    node.itemDiv.appendChild(node.labelSpan);
-    node.li.appendChild(node.itemDiv);
-
-    const a = document.createElement("a");
-    node.labelSpan.appendChild(a);
-    po.getChildrenUL().appendChild(node.li);
-    a.appendChild(node.label);
-    if (link) {
-      let url;
-      if (link.substring(0,1)=='^') {
-        url = link.substring(1);
-        link = url;
-      } else {
-        url = node.relpath+link;
-      }
-      a.className = stripPath(link.replace('#',':'));
-      if (link.indexOf('#')!=-1) {
-        const aname = '#'+link.split('#')[1];
-        const srcPage = stripPath(pathName());
-        const targetPage = stripPath(link.split('#')[0]);
-        a.href = srcPage!=targetPage ? url : aname;
-        a.onclick = function() {
-          storeLink(link);
-          aPPar = $(a).parent().parent();
-          if (!aPPar.hasClass('selected')) {
-            $('.item').removeClass('selected');
-            $('.item').removeAttr('id');
-            aPPar.addClass('selected');
-            aPPar.attr('id','selected');
-          }
-          const anchor = $(aname);
-          gotoAnchor(anchor,aname);
-        };
-      } else {
-        a.href = url;
-        a.onclick = () => storeLink(link);
-      }
-    } else if (childrenData != null) {
-      a.className = "nolink";
-      a.href = "javascript:void(0)";
-      a.onclick = node.expandToggle.onclick;
-    }
-    return node;
-  }
-
-  const showRoot = function() {
-    const headerHeight = $("#top").height();
-    const footerHeight = $("#nav-path").height();
-    const windowHeight = $(window).height() - headerHeight - footerHeight;
-    (function() { // retry until we can scroll to the selected item
-      try {
-        const navtree=$('#nav-tree');
-        navtree.scrollTo('#selected',100,{offset:-windowHeight/2});
-      } catch (err) {
-        setTimeout(arguments.callee, 0);
-      }
-    })();
-  }
-
-  const expandNode = function(o, node, imm, setFocus) {
-    if (node.childrenData && !node.expanded) {
-      if (typeof(node.childrenData)==='string') {
-        const varName = node.childrenData;
-        getScript(node.relpath+varName,function() {
-          node.childrenData = getData(varName);
-          expandNode(o, node, imm, setFocus);
-        });
-      } else {
-        if (!node.childrenVisited) {
-          getNode(o, node);
-        }
-        $(node.getChildrenUL()).slideDown("fast");
-        node.plus_img.innerHTML = ARROW_DOWN;
-        node.expanded = true;
-        if (setFocus) {
-          $(node.expandToggle).focus();
-        }
-      }
-    }
-  }
-
-  const glowEffect = function(n,duration) {
-    n.addClass('glow').delay(duration).queue(function(next) {
-      $(this).removeClass('glow');next();
-    });
-  }
-
-  const highlightAnchor = function() {
-    const aname = hashUrl();
-    const anchor = $(aname);
-    gotoAnchor(anchor,aname);
-  }
-
-  const selectAndHighlight = function(hash,n) {
-    let a;
-    if (hash) {
-      const link=stripPath(pathName())+':'+hash.substring(1);
-      a=$('.item a[class$="'+link+'"]');
-    }
-    if (a && a.length) {
-      a.parent().parent().addClass('selected');
-      a.parent().parent().attr('id','selected');
-      highlightAnchor();
-    } else if (n) {
-      $(n.itemDiv).addClass('selected');
-      $(n.itemDiv).attr('id','selected');
-    }
-    let topOffset=5;
-    if ($('#nav-tree-contents .item:first').hasClass('selected')) {
-      topOffset+=25;
-    }
-    $('#nav-sync').css('top',topOffset+'px');
-    showRoot();
-  }
-
-  const showNode = function(o, node, index, hash) {
-    if (node && node.childrenData) {
-      if (typeof(node.childrenData)==='string') {
-        const varName = node.childrenData;
-        getScript(node.relpath+varName,function() {
-          node.childrenData = getData(varName);
-          showNode(o,node,index,hash);
-        });
-      } else {
-        if (!node.childrenVisited) {
-          getNode(o, node);
-        }
-        $(node.getChildrenUL()).css({'display':'block'});
-        node.plus_img.innerHTML = ARROW_DOWN;
-        node.expanded = true;
-        const n = node.children[o.breadcrumbs[index]];
-        if (index+1<o.breadcrumbs.length) {
-          showNode(o,n,index+1,hash);
-        } else if (typeof(n.childrenData)==='string') {
-          const varName = n.childrenData;
-          getScript(n.relpath+varName,function() {
-            n.childrenData = getData(varName);
-            node.expanded=false;
-            showNode(o,node,index,hash); // retry with child node expanded
-          });
-        } else {
-          const rootBase = stripPath(o.toroot.replace(/\..+$/, ''));
-          if (rootBase=="index" || rootBase=="pages" || rootBase=="search") {
-            expandNode(o, n, true, false);
-          }
-          selectAndHighlight(hash,n);
-        }
-      }
-    } else {
-      selectAndHighlight(hash);
-    }
-  }
-
-  const removeToInsertLater = function(element) {
-    const parentNode = element.parentNode;
-    const nextSibling = element.nextSibling;
-    parentNode.removeChild(element);
-    return function() {
-      if (nextSibling) {
-        parentNode.insertBefore(element, nextSibling);
-      } else {
-        parentNode.appendChild(element);
-      }
-    };
-  }
-
-  const getNode = function(o, po) {
-    const insertFunction = removeToInsertLater(po.li);
-    po.childrenVisited = true;
-    const l = po.childrenData.length-1;
-    for (let i in po.childrenData) {
-      const nodeData = po.childrenData[i];
-      po.children[i] = newNode(o, po, nodeData[0], nodeData[1], nodeData[2], i==l);
-    }
-    insertFunction();
-  }
-
-  const gotoNode = function(o,subIndex,root,hash,relpath) {
-    const nti = navTreeSubIndices[subIndex][root+hash];
-    o.breadcrumbs = $.extend(true, [], nti ? nti : navTreeSubIndices[subIndex][root]);
-    if (!o.breadcrumbs && root!=NAVTREE[0][1]) { // fallback: show index
-      navTo(o,NAVTREE[0][1],"",relpath);
-      $('.item').removeClass('selected');
-      $('.item').removeAttr('id');
-    }
-    if (o.breadcrumbs) {
-      o.breadcrumbs.unshift(0); // add 0 for root node
-      showNode(o, o.node, 0, hash);
-    }
-  }
-
-  const navTo = function(o,root,hash,relpath) {
-    const link = cachedLink();
-    if (link) {
-      const parts = link.split('#');
-      root = parts[0];
-      hash = parts.length>1 ? '#'+parts[1].replace(/[^\w-]/g,'') : '';
-    }
-    if (hash.match(/^#l\d+$/)) {
-      const anchor=$('a[name='+hash.substring(1)+']');
-      glowEffect(anchor.parent(),1000); // line number
-      hash=''; // strip line number anchors
-    }
-    const url=root+hash;
-    let i=-1;
-    while (NAVTREEINDEX[i+1]<=url) i++;
-    if (i==-1) { i=0; root=NAVTREE[0][1]; } // fallback: show index
-    if (navTreeSubIndices[i]) {
-      gotoNode(o,i,root,hash,relpath)
-    } else {
-      getScript(relpath+'navtreeindex'+i,function() {
-        navTreeSubIndices[i] = eval('NAVTREEINDEX'+i);
-        if (navTreeSubIndices[i]) {
-          gotoNode(o,i,root,hash,relpath);
-        }
-      });
-    }
-  }
-
-  const showSyncOff = function(n,relpath) {
-    n.html('<img src="'+relpath+'sync_off.png" title="'+SYNCOFFMSG+'"/>');
-  }
-
-  const showSyncOn = function(n,relpath) {
-    n.html('<img src="'+relpath+'sync_on.png" title="'+SYNCONMSG+'"/>');
-  }
-
-  const o = {
-    toroot : toroot,
-    node   : {
-      childrenData  : NAVTREE,
-      children      : [],
-      childrenUL    : document.createElement("ul"),
-      getChildrenUL : function() { return this.childrenUL },
-      li            : document.getElementById("nav-tree-contents"),
-      depth         : 0,
-      relpath       : relpath,
-      expanded      : false,
-      isLast        : true,
-      plus_img      : document.createElement("span"),
-    },
-  };
-  o.node.li.appendChild(o.node.childrenUL);
-  o.node.plus_img.className = 'arrow';
-  o.node.plus_img.innerHTML = ARROW_RIGHT;
-
-  const navSync = $('#nav-sync');
-  if (cachedLink()) {
-    showSyncOff(navSync,relpath);
-    navSync.removeClass('sync');
-  } else {
-    showSyncOn(navSync,relpath);
-  }
-
-  navSync.click(() => {
-    const navSync = $('#nav-sync');
-    if (navSync.hasClass('sync')) {
-      navSync.removeClass('sync');
-      showSyncOff(navSync,relpath);
-      storeLink(stripPath2(pathName())+hashUrl());
-    } else {
-      navSync.addClass('sync');
-      showSyncOn(navSync,relpath);
-      deleteLink();
-    }
-  });
-
-  navTo(o,toroot,hashUrl(),relpath);
-  showRoot();
-
-  $(window).bind('hashchange', () => {
-    if (!animationInProgress) {
-      if (window.location.hash && window.location.hash.length>1) {
-        let a;
-        if ($(location).attr('hash')) {
-          const clslink=stripPath(pathName())+':'+hashValue();
-          a=$('.item a[class$="'+clslink.replace(/</g,'\\3c ')+'"]');
-        }
-        if (a==null || !$(a).parent().parent().hasClass('selected')) {
-          $('.item').removeClass('selected');
-          $('.item').removeAttr('id');
-        }
-        const link=stripPath2(pathName());
-        navTo(o,link,hashUrl(),relpath);
-        } else {
-        $('#doc-content').scrollTop(0);
-        $('.item').removeClass('selected');
-        $('.item').removeAttr('id');
-        navTo(o,toroot,hashUrl(),relpath);
-      }
-    }
-  });
-
-  $("div.toc a[href]").click(function(e) {
-    e.preventDefault();
-    const aname = $(this).attr("href");
-    gotoAnchor($(aname),aname);
-  });
-}
-/* @license-end */
diff --git a/docs/manual/navtreedata.js b/docs/manual/navtreedata.js
deleted file mode 100644
index a6fb137..0000000
--- a/docs/manual/navtreedata.js
+++ /dev/null
@@ -1,45 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
-*/
-var NAVTREE =
-[
-  [ "BayesNet", "index.html", [
-    [ "Classes", "annotated.html", [
-      [ "Class List", "annotated.html", "annotated_dup" ],
-      [ "Class Index", "classes.html", null ],
-      [ "Class Hierarchy", "hierarchy.html", "hierarchy" ]
-    ] ],
-    [ "Files", "files.html", [
-      [ "File List", "files.html", "files_dup" ]
-    ] ]
-  ] ]
-];
-
-var NAVTREEINDEX =
-[
-"_a2_d_e_8cc_source.html"
-];
-
-var SYNCONMSG = 'click to disable panel synchronisation';
-var SYNCOFFMSG = 'click to enable panel synchronisation';
\ No newline at end of file
diff --git a/docs/manual/navtreeindex0.js b/docs/manual/navtreeindex0.js
deleted file mode 100644
index 415ec8c..0000000
--- a/docs/manual/navtreeindex0.js
+++ /dev/null
@@ -1,69 +0,0 @@
-var NAVTREEINDEX0 =
-{
-"_a2_d_e_8cc_source.html":[1,0,0,1,0],
-"_a2_d_e_8h_source.html":[1,0,0,1,1],
-"_a_o_d_e_8cc_source.html":[1,0,0,1,2],
-"_a_o_d_e_8h_source.html":[1,0,0,1,3],
-"_a_o_d_e_ld_8cc_source.html":[1,0,0,1,4],
-"_a_o_d_e_ld_8h_source.html":[1,0,0,1,5],
-"_base_classifier_8h_source.html":[1,0,0,3],
-"_boost_8cc_source.html":[1,0,0,1,6],
-"_boost_8h_source.html":[1,0,0,1,7],
-"_boost_a2_d_e_8cc_source.html":[1,0,0,1,8],
-"_boost_a2_d_e_8h_source.html":[1,0,0,1,9],
-"_boost_a_o_d_e_8cc_source.html":[1,0,0,1,10],
-"_boost_a_o_d_e_8h_source.html":[1,0,0,1,11],
-"_classifier_8cc_source.html":[1,0,0,0,0],
-"_classifier_8h_source.html":[1,0,0,0,1],
-"_ensemble_8cc_source.html":[1,0,0,1,12],
-"_ensemble_8h_source.html":[1,0,0,1,13],
-"_k_d_b_8cc_source.html":[1,0,0,0,2],
-"_k_d_b_8h_source.html":[1,0,0,0,3],
-"_k_d_b_ld_8cc_source.html":[1,0,0,0,4],
-"_k_d_b_ld_8h_source.html":[1,0,0,0,5],
-"_network_8cc_source.html":[1,0,0,2,0],
-"_network_8h_source.html":[1,0,0,2,1],
-"_node_8cc_source.html":[1,0,0,2,2],
-"_node_8h_source.html":[1,0,0,2,3],
-"_proposal_8cc_source.html":[1,0,0,0,6],
-"_proposal_8h_source.html":[1,0,0,0,7],
-"_s_p_o_d_e_8cc_source.html":[1,0,0,0,10],
-"_s_p_o_d_e_8h_source.html":[1,0,0,0,11],
-"_s_p_o_d_e_ld_8cc_source.html":[1,0,0,0,12],
-"_s_p_o_d_e_ld_8h_source.html":[1,0,0,0,13],
-"_s_pn_d_e_8cc_source.html":[1,0,0,0,8],
-"_s_pn_d_e_8h_source.html":[1,0,0,0,9],
-"_t_a_n_8cc_source.html":[1,0,0,0,14],
-"_t_a_n_8h_source.html":[1,0,0,0,15],
-"_t_a_n_ld_8cc_source.html":[1,0,0,0,16],
-"_t_a_n_ld_8h_source.html":[1,0,0,0,17],
-"annotated.html":[0,0],
-"classbayesnet_1_1_a2_d_e.html":[0,0,0,0],
-"classbayesnet_1_1_a_o_d_e.html":[0,0,0,1],
-"classbayesnet_1_1_a_o_d_e_ld.html":[0,0,0,2],
-"classbayesnet_1_1_base_classifier.html":[0,0,0,3],
-"classbayesnet_1_1_boost.html":[0,0,0,4],
-"classbayesnet_1_1_boost_a2_d_e.html":[0,0,0,5],
-"classbayesnet_1_1_boost_a_o_d_e.html":[0,0,0,6],
-"classbayesnet_1_1_classifier.html":[0,0,0,7],
-"classbayesnet_1_1_ensemble.html":[0,0,0,8],
-"classbayesnet_1_1_k_d_b.html":[0,0,0,9],
-"classbayesnet_1_1_k_d_b_ld.html":[0,0,0,10],
-"classbayesnet_1_1_network.html":[0,0,0,11],
-"classbayesnet_1_1_node.html":[0,0,0,12],
-"classbayesnet_1_1_proposal.html":[0,0,0,13],
-"classbayesnet_1_1_s_p_o_d_e.html":[0,0,0,15],
-"classbayesnet_1_1_s_p_o_d_e_ld.html":[0,0,0,16],
-"classbayesnet_1_1_s_pn_d_e.html":[0,0,0,14],
-"classbayesnet_1_1_t_a_n.html":[0,0,0,17],
-"classbayesnet_1_1_t_a_n_ld.html":[0,0,0,18],
-"classes.html":[0,1],
-"dir_2f68445c4ac4316280c650d0a13b2741.html":[1,0,0,1],
-"dir_40070fdff85d618b4d1d3ab4ac4f79bb.html":[1,0,0],
-"dir_520a649ed2b1c3b658a695aeefe46a5a.html":[1,0,0,0],
-"dir_efcd97b18bba957e8e278307db4f845a.html":[1,0,0,2],
-"files.html":[1,0],
-"hierarchy.html":[0,2],
-"index.html":[],
-"pages.html":[]
-};
diff --git a/docs/manual/open.png b/docs/manual/open.png
deleted file mode 100644
index 30f75c7efe2dd0c9e956e35b69777a02751f048b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 123
zcmeAS@N?(olHy`uVBq!ia0vp^oFL4>1|%O$WD@{VPM$7~Ar*{o?;hlAFyLXmaDC0y
znK1_#cQqJWPES%4Uujug^TE?jMft$}Eq^WaR~)%f)vSNs&gek&x%A9X9sM<Rdl=8h
W@EqZ{ytxBt8iS{+pUXO@geCxcDJg#d

diff --git a/docs/manual/plus.svg b/docs/manual/plus.svg
deleted file mode 100644
index 0752016..0000000
--- a/docs/manual/plus.svg
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
-  <g>
-    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
-    <rect style="fill:#fcfcfc;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
-    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
-    <rect style="fill:#808080;stroke-width:0" width="15.874998" height="52.916668" x="44.979168" y="26.458332" />
-  </g>
-</svg>
diff --git a/docs/manual/plusd.svg b/docs/manual/plusd.svg
deleted file mode 100644
index 0c65bfe..0000000
--- a/docs/manual/plusd.svg
+++ /dev/null
@@ -1,9 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<svg width="12px" height="12px" viewBox="0 0 105.83333 105.83333" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:svg="http://www.w3.org/2000/svg">
-  <g>
-    <rect style="fill:#808080;stroke-width:0" width="105.83333" height="105.83334" x="4.2409692e-08" y="-1.2701158e-06" ry="0" />
-    <rect style="fill:#000000;stroke-width:0" width="79.375" height="79.375" x="13.229166" y="13.229166" />
-    <rect style="fill:#808080;stroke-width:0" width="52.916668" height="15.874998" x="26.458332" y="44.979168" />
-    <rect style="fill:#808080;stroke-width:0" width="15.874998" height="52.916668" x="44.979168" y="26.458332" />
-  </g>
-</svg>
diff --git a/docs/manual/resize.js b/docs/manual/resize.js
deleted file mode 100644
index 7d8cdc7..0000000
--- a/docs/manual/resize.js
+++ /dev/null
@@ -1,145 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
- */
-
-function initResizable(treeview) {
-  let sidenav,navtree,content,header,footer,barWidth=6;
-  const RESIZE_COOKIE_NAME = ''+'width';
-
-  function resizeWidth() {
-    const sidenavWidth = $(sidenav).outerWidth();
-    content.css({marginLeft:parseInt(sidenavWidth)+"px"});
-    if (typeof page_layout!=='undefined' && page_layout==1) {
-      footer.css({marginLeft:parseInt(sidenavWidth)+"px"});
-    }
-    Cookie.writeSetting(RESIZE_COOKIE_NAME,sidenavWidth-barWidth);
-  }
-
-  function restoreWidth(navWidth) {
-    content.css({marginLeft:parseInt(navWidth)+barWidth+"px"});
-    if (typeof page_layout!=='undefined' && page_layout==1) {
-      footer.css({marginLeft:parseInt(navWidth)+barWidth+"px"});
-    }
-    sidenav.css({width:navWidth + "px"});
-  }
-
-  function resizeHeight(treeview) {
-    const headerHeight = header.outerHeight();
-    const windowHeight = $(window).height();
-    let contentHeight;
-    if (treeview)
-    {
-      const footerHeight = footer.outerHeight();
-      let navtreeHeight,sideNavHeight;
-      if (typeof page_layout==='undefined' || page_layout==0) { /* DISABLE_INDEX=NO */
-        contentHeight = windowHeight - headerHeight - footerHeight;
-        navtreeHeight = contentHeight;
-        sideNavHeight = contentHeight;
-      } else if (page_layout==1) { /* DISABLE_INDEX=YES */
-        contentHeight = windowHeight - footerHeight;
-        navtreeHeight = windowHeight - headerHeight;
-        sideNavHeight = windowHeight;
-      }
-      navtree.css({height:navtreeHeight + "px"});
-      sidenav.css({height:sideNavHeight + "px"});
-    }
-    else
-    {
-      contentHeight = windowHeight - headerHeight;
-    }
-    content.css({height:contentHeight + "px"});
-    if (location.hash.slice(1)) {
-      (document.getElementById(location.hash.slice(1))||document.body).scrollIntoView();
-    }
-  }
-
-  function collapseExpand() {
-    let newWidth;
-    if (sidenav.width()>0) {
-      newWidth=0;
-    } else {
-      const width = Cookie.readSetting(RESIZE_COOKIE_NAME,250);
-      newWidth = (width>250 && width<$(window).width()) ? width : 250;
-    }
-    restoreWidth(newWidth);
-    const sidenavWidth = $(sidenav).outerWidth();
-    Cookie.writeSetting(RESIZE_COOKIE_NAME,sidenavWidth-barWidth);
-  }
-
-  header  = $("#top");
-  content = $("#doc-content");
-  footer  = $("#nav-path");
-  sidenav = $("#side-nav");
-  if (!treeview) {
-//    title   = $("#titlearea");
-//    titleH  = $(title).height();
-//    let animating = false;
-//    content.on("scroll", function() {
-//      slideOpts = { duration: 200,
-//                    step: function() {
-//                        contentHeight = $(window).height() - header.outerHeight();
-//                        content.css({ height : contentHeight + "px" });
-//                      },
-//                    done: function() { animating=false; }
-//                  };
-//      if (content.scrollTop()>titleH && title.css('display')!='none' && !animating) {
-//        title.slideUp(slideOpts);
-//        animating=true;
-//      } else if (content.scrollTop()<=titleH && title.css('display')=='none' && !animating) {
-//        title.slideDown(slideOpts);
-//        animating=true;
-//      }
-//    });
-  } else {
-    navtree = $("#nav-tree");
-    $(".side-nav-resizable").resizable({resize: function(e, ui) { resizeWidth(); } });
-    $(sidenav).resizable({ minWidth: 0 });
-  }
-  $(window).resize(function() { resizeHeight(treeview); });
-  if (treeview)
-  {
-    const device = navigator.userAgent.toLowerCase();
-    const touch_device = device.match(/(iphone|ipod|ipad|android)/);
-    if (touch_device) { /* wider split bar for touch only devices */
-      $(sidenav).css({ paddingRight:'20px' });
-      $('.ui-resizable-e').css({ width:'20px' });
-      $('#nav-sync').css({ right:'34px' });
-      barWidth=20;
-    }
-    const width = Cookie.readSetting(RESIZE_COOKIE_NAME,250);
-    if (width) { restoreWidth(width); } else { resizeWidth(); }
-  }
-  resizeHeight(treeview);
-  const url = location.href;
-  const i=url.indexOf("#");
-  if (i>=0) window.location.hash=url.substr(i);
-  const _preventDefault = function(evt) { evt.preventDefault(); };
-  if (treeview)
-  {
-    $("#splitbar").bind("dragstart", _preventDefault).bind("selectstart", _preventDefault);
-    $(".ui-resizable-handle").dblclick(collapseExpand);
-  }
-  $(window).on('load',resizeHeight);
-}
-/* @license-end */
diff --git a/docs/manual/search/all_0.js b/docs/manual/search/all_0.js
deleted file mode 100644
index dc433d2..0000000
--- a/docs/manual/search/all_0.js
+++ /dev/null
@@ -1,6 +0,0 @@
-var searchData=
-[
-  ['a2de_0',['A2DE',['../classbayesnet_1_1_a2_d_e.html',1,'bayesnet']]],
-  ['aode_1',['AODE',['../classbayesnet_1_1_a_o_d_e.html',1,'bayesnet']]],
-  ['aodeld_2',['AODELd',['../classbayesnet_1_1_a_o_d_e_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_1.js b/docs/manual/search/all_1.js
deleted file mode 100644
index 52180aa..0000000
--- a/docs/manual/search/all_1.js
+++ /dev/null
@@ -1,7 +0,0 @@
-var searchData=
-[
-  ['baseclassifier_0',['BaseClassifier',['../classbayesnet_1_1_base_classifier.html',1,'bayesnet']]],
-  ['boost_1',['Boost',['../classbayesnet_1_1_boost.html',1,'bayesnet']]],
-  ['boosta2de_2',['BoostA2DE',['../classbayesnet_1_1_boost_a2_d_e.html',1,'bayesnet']]],
-  ['boostaode_3',['BoostAODE',['../classbayesnet_1_1_boost_a_o_d_e.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_2.js b/docs/manual/search/all_2.js
deleted file mode 100644
index 6aed91c..0000000
--- a/docs/manual/search/all_2.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var searchData=
-[
-  ['classifier_0',['Classifier',['../classbayesnet_1_1_classifier.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_3.js b/docs/manual/search/all_3.js
deleted file mode 100644
index f513172..0000000
--- a/docs/manual/search/all_3.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var searchData=
-[
-  ['ensemble_0',['Ensemble',['../classbayesnet_1_1_ensemble.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_4.js b/docs/manual/search/all_4.js
deleted file mode 100644
index 721cf82..0000000
--- a/docs/manual/search/all_4.js
+++ /dev/null
@@ -1,5 +0,0 @@
-var searchData=
-[
-  ['kdb_0',['KDB',['../classbayesnet_1_1_k_d_b.html',1,'bayesnet']]],
-  ['kdbld_1',['KDBLd',['../classbayesnet_1_1_k_d_b_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_5.js b/docs/manual/search/all_5.js
deleted file mode 100644
index 5efa2bd..0000000
--- a/docs/manual/search/all_5.js
+++ /dev/null
@@ -1,5 +0,0 @@
-var searchData=
-[
-  ['network_0',['Network',['../classbayesnet_1_1_network.html',1,'bayesnet']]],
-  ['node_1',['Node',['../classbayesnet_1_1_node.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_6.js b/docs/manual/search/all_6.js
deleted file mode 100644
index 4e9c1ce..0000000
--- a/docs/manual/search/all_6.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var searchData=
-[
-  ['proposal_0',['Proposal',['../classbayesnet_1_1_proposal.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_7.js b/docs/manual/search/all_7.js
deleted file mode 100644
index 3c7da60..0000000
--- a/docs/manual/search/all_7.js
+++ /dev/null
@@ -1,6 +0,0 @@
-var searchData=
-[
-  ['spnde_0',['SPnDE',['../classbayesnet_1_1_s_pn_d_e.html',1,'bayesnet']]],
-  ['spode_1',['SPODE',['../classbayesnet_1_1_s_p_o_d_e.html',1,'bayesnet']]],
-  ['spodeld_2',['SPODELd',['../classbayesnet_1_1_s_p_o_d_e_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/all_8.js b/docs/manual/search/all_8.js
deleted file mode 100644
index 59e0076..0000000
--- a/docs/manual/search/all_8.js
+++ /dev/null
@@ -1,5 +0,0 @@
-var searchData=
-[
-  ['tan_0',['TAN',['../classbayesnet_1_1_t_a_n.html',1,'bayesnet']]],
-  ['tanld_1',['TANLd',['../classbayesnet_1_1_t_a_n_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_0.js b/docs/manual/search/classes_0.js
deleted file mode 100644
index dc433d2..0000000
--- a/docs/manual/search/classes_0.js
+++ /dev/null
@@ -1,6 +0,0 @@
-var searchData=
-[
-  ['a2de_0',['A2DE',['../classbayesnet_1_1_a2_d_e.html',1,'bayesnet']]],
-  ['aode_1',['AODE',['../classbayesnet_1_1_a_o_d_e.html',1,'bayesnet']]],
-  ['aodeld_2',['AODELd',['../classbayesnet_1_1_a_o_d_e_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_1.js b/docs/manual/search/classes_1.js
deleted file mode 100644
index 52180aa..0000000
--- a/docs/manual/search/classes_1.js
+++ /dev/null
@@ -1,7 +0,0 @@
-var searchData=
-[
-  ['baseclassifier_0',['BaseClassifier',['../classbayesnet_1_1_base_classifier.html',1,'bayesnet']]],
-  ['boost_1',['Boost',['../classbayesnet_1_1_boost.html',1,'bayesnet']]],
-  ['boosta2de_2',['BoostA2DE',['../classbayesnet_1_1_boost_a2_d_e.html',1,'bayesnet']]],
-  ['boostaode_3',['BoostAODE',['../classbayesnet_1_1_boost_a_o_d_e.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_2.js b/docs/manual/search/classes_2.js
deleted file mode 100644
index 6aed91c..0000000
--- a/docs/manual/search/classes_2.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var searchData=
-[
-  ['classifier_0',['Classifier',['../classbayesnet_1_1_classifier.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_3.js b/docs/manual/search/classes_3.js
deleted file mode 100644
index f513172..0000000
--- a/docs/manual/search/classes_3.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var searchData=
-[
-  ['ensemble_0',['Ensemble',['../classbayesnet_1_1_ensemble.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_4.js b/docs/manual/search/classes_4.js
deleted file mode 100644
index 721cf82..0000000
--- a/docs/manual/search/classes_4.js
+++ /dev/null
@@ -1,5 +0,0 @@
-var searchData=
-[
-  ['kdb_0',['KDB',['../classbayesnet_1_1_k_d_b.html',1,'bayesnet']]],
-  ['kdbld_1',['KDBLd',['../classbayesnet_1_1_k_d_b_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_5.js b/docs/manual/search/classes_5.js
deleted file mode 100644
index 5efa2bd..0000000
--- a/docs/manual/search/classes_5.js
+++ /dev/null
@@ -1,5 +0,0 @@
-var searchData=
-[
-  ['network_0',['Network',['../classbayesnet_1_1_network.html',1,'bayesnet']]],
-  ['node_1',['Node',['../classbayesnet_1_1_node.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_6.js b/docs/manual/search/classes_6.js
deleted file mode 100644
index 4e9c1ce..0000000
--- a/docs/manual/search/classes_6.js
+++ /dev/null
@@ -1,4 +0,0 @@
-var searchData=
-[
-  ['proposal_0',['Proposal',['../classbayesnet_1_1_proposal.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_7.js b/docs/manual/search/classes_7.js
deleted file mode 100644
index 3c7da60..0000000
--- a/docs/manual/search/classes_7.js
+++ /dev/null
@@ -1,6 +0,0 @@
-var searchData=
-[
-  ['spnde_0',['SPnDE',['../classbayesnet_1_1_s_pn_d_e.html',1,'bayesnet']]],
-  ['spode_1',['SPODE',['../classbayesnet_1_1_s_p_o_d_e.html',1,'bayesnet']]],
-  ['spodeld_2',['SPODELd',['../classbayesnet_1_1_s_p_o_d_e_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/classes_8.js b/docs/manual/search/classes_8.js
deleted file mode 100644
index 59e0076..0000000
--- a/docs/manual/search/classes_8.js
+++ /dev/null
@@ -1,5 +0,0 @@
-var searchData=
-[
-  ['tan_0',['TAN',['../classbayesnet_1_1_t_a_n.html',1,'bayesnet']]],
-  ['tanld_1',['TANLd',['../classbayesnet_1_1_t_a_n_ld.html',1,'bayesnet']]]
-];
diff --git a/docs/manual/search/close.svg b/docs/manual/search/close.svg
deleted file mode 100644
index 337d6cc..0000000
--- a/docs/manual/search/close.svg
+++ /dev/null
@@ -1,18 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg
-   xmlns="http://www.w3.org/2000/svg"
-   xmlns:xlink="http://www.w3.org/1999/xlink"
-   viewBox="0 0 11 11"
-   height="11"
-   width="11"
-   id="svg2"
-   version="1.1">
-  <defs
-     id="defs6" />
-  <path
-     id="path12"
-     d="M 5.5 0.5 A 5 5 0 0 0 0.5 5.5 A 5 5 0 0 0 5.5 10.5 A 5 5 0 0 0 10.5 5.5 A 5 5 0 0 0 5.5 0.5 z M 3.5820312 3 A 0.58291923 0.58291923 0 0 1 4 3.1757812 L 5.5 4.6757812 L 7 3.1757812 A 0.58291923 0.58291923 0 0 1 7.4003906 3 A 0.58291923 0.58291923 0 0 1 7.8242188 4 L 6.3242188 5.5 L 7.8242188 7 A 0.58291923 0.58291923 0 1 1 7 7.8242188 L 5.5 6.3242188 L 4 7.8242188 A 0.58291923 0.58291923 0 1 1 3.1757812 7 L 4.6757812 5.5 L 3.1757812 4 A 0.58291923 0.58291923 0 0 1 3.5820312 3 z "
-     style="stroke-width:1.09870648;fill:#bababa;fill-opacity:1" />
-</svg>
diff --git a/docs/manual/search/mag.svg b/docs/manual/search/mag.svg
deleted file mode 100644
index ffb6cf0..0000000
--- a/docs/manual/search/mag.svg
+++ /dev/null
@@ -1,24 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg
-   xmlns="http://www.w3.org/2000/svg"
-   xmlns:xlink="http://www.w3.org/1999/xlink"
-   viewBox="0 0 20 19"
-   height="19"
-   width="20"
-   id="svg2"
-   version="1.1">
-  <defs
-     id="defs6" />
-  <circle
-     r="3.5"
-     cy="8.5"
-     cx="5.5"
-     id="path4611"
-     style="fill:#000000;fill-opacity:0;stroke:#656565;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none" />
-  <path
-     id="path4630"
-     d="m 8.1085854,11.109059 2.7823556,2.782356"
-     style="fill:none;stroke:#656565;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
-</svg>
diff --git a/docs/manual/search/mag_d.svg b/docs/manual/search/mag_d.svg
deleted file mode 100644
index 4122773..0000000
--- a/docs/manual/search/mag_d.svg
+++ /dev/null
@@ -1,24 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg
-   xmlns="http://www.w3.org/2000/svg"
-   xmlns:xlink="http://www.w3.org/1999/xlink"
-   viewBox="0 0 20 19"
-   height="19"
-   width="20"
-   id="svg2"
-   version="1.1">
-  <defs
-     id="defs6" />
-  <circle
-     r="3.5"
-     cy="8.5"
-     cx="5.5"
-     id="path4611"
-     style="fill:#000000;fill-opacity:0;stroke:#C5C5C5;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none" />
-  <path
-     id="path4630"
-     d="m 8.1085854,11.109059 2.7823556,2.782356"
-     style="fill:none;stroke:#C5C5C5;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
-</svg>
diff --git a/docs/manual/search/mag_sel.svg b/docs/manual/search/mag_sel.svg
deleted file mode 100644
index 553dba8..0000000
--- a/docs/manual/search/mag_sel.svg
+++ /dev/null
@@ -1,31 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!-- Created with Inkscape (http://www.inkscape.org/) -->
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg
-   xmlns="http://www.w3.org/2000/svg"
-   version="1.1"
-   id="svg2"
-   width="20"
-   height="19"
-   viewBox="0 0 20 19"
-  >
-  <defs
-     id="defs6" />
-  <circle
-     style="fill:#000000;fill-opacity:0;stroke:#656565;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none"
-     id="path4611"
-     cx="5.5"
-     cy="8.5"
-     r="3.5" />
-  <path
-     style="fill:#656565;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
-     d="M 11,7 13.5,10 16,7 Z"
-     id="path4609"
-     />
-  <path
-     style="fill:none;stroke:#656565;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
-     d="m 8.1085854,11.109059 2.7823556,2.782356"
-     id="path4630"
-     />
-</svg>
diff --git a/docs/manual/search/mag_seld.svg b/docs/manual/search/mag_seld.svg
deleted file mode 100644
index c906f84..0000000
--- a/docs/manual/search/mag_seld.svg
+++ /dev/null
@@ -1,31 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<!-- Created with Inkscape (http://www.inkscape.org/) -->
-<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
- "https://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
-<svg
-   xmlns="http://www.w3.org/2000/svg"
-   version="1.1"
-   id="svg2"
-   width="20"
-   height="19"
-   viewBox="0 0 20 19"
-  >
-  <defs
-     id="defs6" />
-  <circle
-     style="fill:#000000;fill-opacity:0;stroke:#c5C5C5;stroke-width:1.4;stroke-opacity:1;stroke-miterlimit:4;stroke-dasharray:none"
-     id="path4611"
-     cx="5.5"
-     cy="8.5"
-     r="3.5" />
-  <path
-     style="fill:#c5C5C5;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
-     d="M 11,7 13.5,10 16,7 Z"
-     id="path4609"
-     />
-  <path
-     style="fill:none;stroke:#c5C5C5;stroke-width:1.4;stroke-linecap:round;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
-     d="m 8.1085854,11.109059 2.7823556,2.782356"
-     id="path4630"
-     />
-</svg>
diff --git a/docs/manual/search/search.css b/docs/manual/search/search.css
deleted file mode 100644
index 19f76f9..0000000
--- a/docs/manual/search/search.css
+++ /dev/null
@@ -1,291 +0,0 @@
-/*---------------- Search Box positioning */
-
-#main-menu > li:last-child {
-    /* This <li> object is the parent of the search bar */
-    display: flex;
-    justify-content: center;
-    align-items: center;
-    height: 36px;
-    margin-right: 1em;
-}
-
-/*---------------- Search box styling */
-
-.SRPage * {
-    font-weight: normal;
-    line-height: normal;
-}
-
-dark-mode-toggle {
-    margin-left: 5px;
-    display: flex;
-    float: right;
-}
-
-#MSearchBox {
-    display: inline-block;
-    white-space : nowrap;
-    background: var(--search-background-color);
-    border-radius: 0.65em;
-    box-shadow: var(--search-box-shadow);
-    z-index: 102;
-}
-
-#MSearchBox .left {
-    display: inline-block;
-    vertical-align: middle;
-    height: 1.4em;
-}
-
-#MSearchSelect {
-    display: inline-block;
-    vertical-align: middle;
-    width: 20px;
-    height: 19px;
-    background-image: var(--search-magnification-select-image);
-    margin: 0 0 0 0.3em;
-    padding: 0;
-}
-
-#MSearchSelectExt {
-    display: inline-block;
-    vertical-align: middle;
-    width: 10px;
-    height: 19px;
-    background-image: var(--search-magnification-image);
-    margin: 0 0 0 0.5em;
-    padding: 0;
-}
-
-
-#MSearchField {
-    display: inline-block;
-    vertical-align: middle;
-    width: 7.5em;
-    height: 19px;
-    margin: 0 0.15em;
-    padding: 0;
-    line-height: 1em;
-    border:none;
-    color: var(--search-foreground-color);
-    outline: none;
-    font-family: var(--font-family-search);
-    -webkit-border-radius: 0px;
-    border-radius: 0px;
-    background: none;
-}
-
-@media(hover: none) {
-    /* to avoid zooming on iOS */
-    #MSearchField {
-        font-size: 16px;
-    }
-}
-
-#MSearchBox .right {
-    display: inline-block;
-    vertical-align: middle;
-    width: 1.4em;
-    height: 1.4em;
-}
-
-#MSearchClose {
-    display: none;
-    font-size: inherit;
-    background : none;
-    border: none;
-    margin: 0;
-    padding: 0;
-    outline: none;
-
-}
-
-#MSearchCloseImg {
-    padding: 0.3em;
-    margin: 0;
-}
-
-.MSearchBoxActive #MSearchField {
-    color: var(--search-active-color);
-}
-
-
-
-/*---------------- Search filter selection */
-
-#MSearchSelectWindow {
-    display: none;
-    position: absolute;
-    left: 0; top: 0;
-    border: 1px solid var(--search-filter-border-color);
-    background-color: var(--search-filter-background-color);
-    z-index: 10001;
-    padding-top: 4px;
-    padding-bottom: 4px;
-    -moz-border-radius: 4px;
-    -webkit-border-top-left-radius: 4px;
-    -webkit-border-top-right-radius: 4px;
-    -webkit-border-bottom-left-radius: 4px;
-    -webkit-border-bottom-right-radius: 4px;
-    -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
-}
-
-.SelectItem {
-    font: 8pt var(--font-family-search);
-    padding-left:  2px;
-    padding-right: 12px;
-    border: 0px;
-}
-
-span.SelectionMark {
-    margin-right: 4px;
-    font-family: var(--font-family-monospace);
-    outline-style: none;
-    text-decoration: none;
-}
-
-a.SelectItem {
-    display: block;
-    outline-style: none;
-    color: var(--search-filter-foreground-color);
-    text-decoration: none;
-    padding-left:   6px;
-    padding-right: 12px;
-}
-
-a.SelectItem:focus,
-a.SelectItem:active {
-    color: var(--search-filter-foreground-color);
-    outline-style: none;
-    text-decoration: none;
-}
-
-a.SelectItem:hover {
-    color: var(--search-filter-highlight-text-color);
-    background-color: var(--search-filter-highlight-bg-color);
-    outline-style: none;
-    text-decoration: none;
-    cursor: pointer;
-    display: block;
-}
-
-/*---------------- Search results window */
-
-iframe#MSearchResults {
-    /*width: 60ex;*/
-    height: 15em;
-}
-
-#MSearchResultsWindow {
-    display: none;
-    position: absolute;
-    left: 0; top: 0;
-    border: 1px solid var(--search-results-border-color);
-    background-color: var(--search-results-background-color);
-    z-index:10000;
-    width: 300px;
-    height: 400px;
-    overflow: auto;
-}
-
-/* ----------------------------------- */
-
-
-#SRIndex {
-    clear:both; 
-}
-
-.SREntry {
-    font-size: 10pt;
-    padding-left: 1ex;
-}
-
-.SRPage .SREntry {
-    font-size: 8pt;
-    padding: 1px 5px;
-}
-
-div.SRPage {
-    margin: 5px 2px;
-    background-color: var(--search-results-background-color);
-}
-
-.SRChildren {
-    padding-left: 3ex; padding-bottom: .5em 
-}
-
-.SRPage .SRChildren {
-    display: none;
-}
-
-.SRSymbol {
-    font-weight: bold;
-    color: var(--search-results-foreground-color);
-    font-family: var(--font-family-search);
-    text-decoration: none;
-    outline: none;
-}
-
-a.SRScope {
-    display: block;
-    color: var(--search-results-foreground-color);
-    font-family: var(--font-family-search);
-    font-size: 8pt;
-    text-decoration: none;
-    outline: none;
-}
-
-a.SRSymbol:focus, a.SRSymbol:active,
-a.SRScope:focus, a.SRScope:active {
-    text-decoration: underline;
-}
-
-span.SRScope {
-    padding-left: 4px;
-    font-family: var(--font-family-search);
-}
-
-.SRPage .SRStatus {
-    padding: 2px 5px;
-    font-size: 8pt;
-    font-style: italic;
-    font-family: var(--font-family-search);
-}
-
-.SRResult {
-    display: none;
-}
-
-div.searchresults {
-    margin-left: 10px;
-    margin-right: 10px;
-}
-
-/*---------------- External search page results */
-
-.pages b {
-   color: white;
-   padding: 5px 5px 3px 5px;
-   background-image: var(--nav-gradient-active-image-parent);
-   background-repeat: repeat-x;
-   text-shadow: 0 1px 1px #000000;
-}
-
-.pages {
-    line-height: 17px;
-    margin-left: 4px;
-    text-decoration: none;
-}
-
-.hl {
-    font-weight: bold;
-}
-
-#searchresults {
-    margin-bottom: 20px;
-}
-
-.searchpages {
-    margin-top: 10px;
-}
-
diff --git a/docs/manual/search/search.js b/docs/manual/search/search.js
deleted file mode 100644
index 666af01..0000000
--- a/docs/manual/search/search.js
+++ /dev/null
@@ -1,694 +0,0 @@
-/*
- @licstart  The following is the entire license notice for the JavaScript code in this file.
-
- The MIT License (MIT)
-
- Copyright (C) 1997-2020 by Dimitri van Heesch
-
- Permission is hereby granted, free of charge, to any person obtaining a copy of this software
- and associated documentation files (the "Software"), to deal in the Software without restriction,
- including without limitation the rights to use, copy, modify, merge, publish, distribute,
- sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
-
- The above copyright notice and this permission notice shall be included in all copies or
- substantial portions of the Software.
-
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
- BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
- NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
- DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
- @licend  The above is the entire license notice for the JavaScript code in this file
- */
-const SEARCH_COOKIE_NAME = ''+'search_grp';
-
-const searchResults = new SearchResults();
-
-/* A class handling everything associated with the search panel.
-
-   Parameters:
-   name - The name of the global variable that will be
-          storing this instance.  Is needed to be able to set timeouts.
-   resultPath - path to use for external files
-*/
-function SearchBox(name, resultsPath, extension) {
-  if (!name || !resultsPath) {  alert("Missing parameters to SearchBox."); }
-  if (!extension || extension == "") { extension = ".html"; }
-
-  function getXPos(item) {
-    let x = 0;
-    if (item.offsetWidth) {
-      while (item && item!=document.body) {
-        x   += item.offsetLeft;
-        item = item.offsetParent;
-      }
-    }
-    return x;
-  }
-
-  function getYPos(item) {
-    let y = 0;
-    if (item.offsetWidth) {
-      while (item && item!=document.body) {
-        y   += item.offsetTop;
-        item = item.offsetParent;
-      }
-    }
-    return y;
-  }
-
-  // ---------- Instance variables
-  this.name                  = name;
-  this.resultsPath           = resultsPath;
-  this.keyTimeout            = 0;
-  this.keyTimeoutLength      = 500;
-  this.closeSelectionTimeout = 300;
-  this.lastSearchValue       = "";
-  this.lastResultsPage       = "";
-  this.hideTimeout           = 0;
-  this.searchIndex           = 0;
-  this.searchActive          = false;
-  this.extension             = extension;
-
-  // ----------- DOM Elements
-
-  this.DOMSearchField              = () => document.getElementById("MSearchField");
-  this.DOMSearchSelect             = () => document.getElementById("MSearchSelect");
-  this.DOMSearchSelectWindow       = () => document.getElementById("MSearchSelectWindow");
-  this.DOMPopupSearchResults       = () => document.getElementById("MSearchResults");
-  this.DOMPopupSearchResultsWindow = () => document.getElementById("MSearchResultsWindow");
-  this.DOMSearchClose              = () => document.getElementById("MSearchClose");
-  this.DOMSearchBox                = () => document.getElementById("MSearchBox");
-
-  // ------------ Event Handlers
-
-  // Called when focus is added or removed from the search field.
-  this.OnSearchFieldFocus = function(isActive) {
-    this.Activate(isActive);
-  }
-
-  this.OnSearchSelectShow = function() {
-    const searchSelectWindow = this.DOMSearchSelectWindow();
-    const searchField        = this.DOMSearchSelect();
-
-    const left = getXPos(searchField);
-    const top  = getYPos(searchField) + searchField.offsetHeight;
-
-    // show search selection popup
-    searchSelectWindow.style.display='block';
-    searchSelectWindow.style.left =  left + 'px';
-    searchSelectWindow.style.top  =  top  + 'px';
-
-    // stop selection hide timer
-    if (this.hideTimeout) {
-      clearTimeout(this.hideTimeout);
-      this.hideTimeout=0;
-    }
-    return false; // to avoid "image drag" default event
-  }
-
-  this.OnSearchSelectHide = function() {
-    this.hideTimeout = setTimeout(this.CloseSelectionWindow.bind(this),
-                                  this.closeSelectionTimeout);
-  }
-
-  // Called when the content of the search field is changed.
-  this.OnSearchFieldChange = function(evt) {
-    if (this.keyTimeout) { // kill running timer
-      clearTimeout(this.keyTimeout);
-      this.keyTimeout = 0;
-    }
-
-    const e = evt ? evt : window.event; // for IE
-    if (e.keyCode==40 || e.keyCode==13) {
-      if (e.shiftKey==1) {
-        this.OnSearchSelectShow();
-        const win=this.DOMSearchSelectWindow();
-        for (let i=0;i<win.childNodes.length;i++) {
-          const child = win.childNodes[i]; // get span within a
-          if (child.className=='SelectItem') {
-            child.focus();
-            return;
-          }
-        }
-        return;
-      } else {
-        const elem = searchResults.NavNext(0);
-        if (elem) elem.focus();
-      }
-    } else if (e.keyCode==27) { // Escape out of the search field
-      e.stopPropagation();
-      this.DOMSearchField().blur();
-      this.DOMPopupSearchResultsWindow().style.display = 'none';
-      this.DOMSearchClose().style.display = 'none';
-      this.lastSearchValue = '';
-      this.Activate(false);
-      return;
-    }
-
-    // strip whitespaces
-    const searchValue = this.DOMSearchField().value.replace(/ +/g, "");
-
-    if (searchValue != this.lastSearchValue) { // search value has changed
-      if (searchValue != "") { // non-empty search
-        // set timer for search update
-        this.keyTimeout = setTimeout(this.Search.bind(this), this.keyTimeoutLength);
-      } else { // empty search field
-        this.DOMPopupSearchResultsWindow().style.display = 'none';
-        this.DOMSearchClose().style.display = 'none';
-        this.lastSearchValue = '';
-      }
-    }
-  }
-
-  this.SelectItemCount = function() {
-    let count=0;
-    const win=this.DOMSearchSelectWindow();
-    for (let i=0;i<win.childNodes.length;i++) {
-      const child = win.childNodes[i]; // get span within a
-      if (child.className=='SelectItem') {
-        count++;
-      }
-    }
-    return count;
-  }
-
-  this.GetSelectionIdByName = function(name) {
-    let j=0;
-    const win=this.DOMSearchSelectWindow();
-    for (let i=0;i<win.childNodes.length;i++) {
-      const child = win.childNodes[i];
-      if (child.className=='SelectItem') {
-        if (child.childNodes[1].nodeValue==name) {
-          return j;
-        }
-        j++;
-      }
-    }
-    return 0;
-  }
-
-  this.SelectItemSet = function(id) {
-    let j=0;
-    const win=this.DOMSearchSelectWindow();
-    for (let i=0;i<win.childNodes.length;i++) {
-      const child = win.childNodes[i]; // get span within a
-      if (child.className=='SelectItem') {
-        const node = child.firstChild;
-        if (j==id) {
-          node.innerHTML='&#8226;';
-          Cookie.writeSetting(SEARCH_COOKIE_NAME, child.childNodes[1].nodeValue, 0)
-        } else {
-          node.innerHTML='&#160;';
-        }
-        j++;
-      }
-    }
-  }
-
-  // Called when an search filter selection is made.
-  // set item with index id as the active item
-  this.OnSelectItem = function(id) {
-    this.searchIndex = id;
-    this.SelectItemSet(id);
-    const searchValue = this.DOMSearchField().value.replace(/ +/g, "");
-    if (searchValue!="" && this.searchActive) { // something was found -> do a search
-      this.Search();
-    }
-  }
-
-  this.OnSearchSelectKey = function(evt) {
-    const e = (evt) ? evt : window.event; // for IE
-    if (e.keyCode==40 && this.searchIndex<this.SelectItemCount()) { // Down
-      this.searchIndex++;
-      this.OnSelectItem(this.searchIndex);
-    } else if (e.keyCode==38 && this.searchIndex>0) { // Up
-      this.searchIndex--;
-      this.OnSelectItem(this.searchIndex);
-    } else if (e.keyCode==13 || e.keyCode==27) {
-      e.stopPropagation();
-      this.OnSelectItem(this.searchIndex);
-      this.CloseSelectionWindow();
-      this.DOMSearchField().focus();
-    }
-    return false;
-  }
-
-  // --------- Actions
-
-  // Closes the results window.
-  this.CloseResultsWindow = function() {
-    this.DOMPopupSearchResultsWindow().style.display = 'none';
-    this.DOMSearchClose().style.display = 'none';
-    this.Activate(false);
-  }
-
-  this.CloseSelectionWindow = function() {
-    this.DOMSearchSelectWindow().style.display = 'none';
-  }
-
-  // Performs a search.
-  this.Search = function() {
-    this.keyTimeout = 0;
-
-    // strip leading whitespace
-    const searchValue = this.DOMSearchField().value.replace(/^ +/, "");
-
-    const code = searchValue.toLowerCase().charCodeAt(0);
-    let idxChar = searchValue.substr(0, 1).toLowerCase();
-    if ( 0xD800 <= code && code <= 0xDBFF && searchValue > 1) { // surrogate pair
-      idxChar = searchValue.substr(0, 2);
-    }
-
-    let jsFile;
-    let idx = indexSectionsWithContent[this.searchIndex].indexOf(idxChar);
-    if (idx!=-1) {
-      const hexCode=idx.toString(16);
-      jsFile = this.resultsPath + indexSectionNames[this.searchIndex] + '_' + hexCode + '.js';
-    }
-
-    const loadJS = function(url, impl, loc) {
-      const scriptTag = document.createElement('script');
-      scriptTag.src = url;
-      scriptTag.onload = impl;
-      scriptTag.onreadystatechange = impl;
-      loc.appendChild(scriptTag);
-    }
-
-    const domPopupSearchResultsWindow = this.DOMPopupSearchResultsWindow();
-    const domSearchBox = this.DOMSearchBox();
-    const domPopupSearchResults = this.DOMPopupSearchResults();
-    const domSearchClose = this.DOMSearchClose();
-    const resultsPath = this.resultsPath;
-
-    const handleResults = function() {
-      document.getElementById("Loading").style.display="none";
-      if (typeof searchData !== 'undefined') {
-        createResults(resultsPath);
-        document.getElementById("NoMatches").style.display="none";
-      }
-
-      if (idx!=-1) {
-        searchResults.Search(searchValue);
-      } else { // no file with search results => force empty search results
-        searchResults.Search('====');
-      }
-
-      if (domPopupSearchResultsWindow.style.display!='block') {
-        domSearchClose.style.display = 'inline-block';
-        let left = getXPos(domSearchBox) + 150;
-        let top  = getYPos(domSearchBox) + 20;
-        domPopupSearchResultsWindow.style.display = 'block';
-        left -= domPopupSearchResults.offsetWidth;
-        const maxWidth  = document.body.clientWidth;
-        const maxHeight = document.body.clientHeight;
-        let width = 300;
-        if (left<10) left=10;
-        if (width+left+8>maxWidth) width=maxWidth-left-8;
-        let height = 400;
-        if (height+top+8>maxHeight) height=maxHeight-top-8;
-        domPopupSearchResultsWindow.style.top     = top  + 'px';
-        domPopupSearchResultsWindow.style.left    = left + 'px';
-        domPopupSearchResultsWindow.style.width   = width + 'px';
-        domPopupSearchResultsWindow.style.height  = height + 'px';
-      }
-    }
-
-    if (jsFile) {
-      loadJS(jsFile, handleResults, this.DOMPopupSearchResultsWindow());
-    } else {
-      handleResults();
-    }
-
-    this.lastSearchValue = searchValue;
-  }
-
-  // -------- Activation Functions
-
-  // Activates or deactivates the search panel, resetting things to
-  // their default values if necessary.
-  this.Activate = function(isActive) {
-    if (isActive || // open it
-      this.DOMPopupSearchResultsWindow().style.display == 'block'
-    ) {
-      this.DOMSearchBox().className = 'MSearchBoxActive';
-      this.searchActive = true;
-    } else if (!isActive) { // directly remove the panel
-      this.DOMSearchBox().className = 'MSearchBoxInactive';
-      this.searchActive             = false;
-      this.lastSearchValue          = ''
-      this.lastResultsPage          = '';
-      this.DOMSearchField().value   = '';
-    }
-  }
-}
-
-// -----------------------------------------------------------------------
-
-// The class that handles everything on the search results page.
-function SearchResults() {
-
-  function convertToId(search) {
-    let result = '';
-    for (let i=0;i<search.length;i++) {
-      const c = search.charAt(i);
-      const cn = c.charCodeAt(0);
-      if (c.match(/[a-z0-9\u0080-\uFFFF]/)) {
-        result+=c;
-      } else if (cn<16) {
-        result+="_0"+cn.toString(16);
-      } else {
-        result+="_"+cn.toString(16);
-      }
-    }
-    return result;
-  }
-
-  // The number of matches from the last run of <Search()>.
-  this.lastMatchCount = 0;
-  this.lastKey = 0;
-  this.repeatOn = false;
-
-  // Toggles the visibility of the passed element ID.
-  this.FindChildElement = function(id) {
-    const parentElement = document.getElementById(id);
-    let element = parentElement.firstChild;
-
-    while (element && element!=parentElement) {
-      if (element.nodeName.toLowerCase() == 'div' && element.className == 'SRChildren') {
-        return element;
-      }
-
-      if (element.nodeName.toLowerCase() == 'div' && element.hasChildNodes()) {
-        element = element.firstChild;
-      } else if (element.nextSibling) {
-        element = element.nextSibling;
-      } else {
-        do {
-          element = element.parentNode;
-        }
-        while (element && element!=parentElement && !element.nextSibling);
-
-        if (element && element!=parentElement) {
-          element = element.nextSibling;
-        }
-      }
-    }
-  }
-
-  this.Toggle = function(id) {
-    const element = this.FindChildElement(id);
-    if (element) {
-      if (element.style.display == 'block') {
-        element.style.display = 'none';
-      } else {
-        element.style.display = 'block';
-      }
-    }
-  }
-
-  // Searches for the passed string.  If there is no parameter,
-  // it takes it from the URL query.
-  //
-  // Always returns true, since other documents may try to call it
-  // and that may or may not be possible.
-  this.Search = function(search) {
-    if (!search) { // get search word from URL
-      search = window.location.search;
-      search = search.substring(1);  // Remove the leading '?'
-      search = unescape(search);
-    }
-
-    search = search.replace(/^ +/, ""); // strip leading spaces
-    search = search.replace(/ +$/, ""); // strip trailing spaces
-    search = search.toLowerCase();
-    search = convertToId(search);
-
-    const resultRows = document.getElementsByTagName("div");
-    let matches = 0;
-
-    let i = 0;
-    while (i < resultRows.length) {
-      const row = resultRows.item(i);
-      if (row.className == "SRResult") {
-        let rowMatchName = row.id.toLowerCase();
-        rowMatchName = rowMatchName.replace(/^sr\d*_/, ''); // strip 'sr123_'
-
-        if (search.length<=rowMatchName.length &&
-          rowMatchName.substr(0, search.length)==search) {
-          row.style.display = 'block';
-          matches++;
-        } else {
-          row.style.display = 'none';
-        }
-      }
-      i++;
-    }
-    document.getElementById("Searching").style.display='none';
-    if (matches == 0) { // no results
-      document.getElementById("NoMatches").style.display='block';
-    } else { // at least one result
-      document.getElementById("NoMatches").style.display='none';
-    }
-    this.lastMatchCount = matches;
-    return true;
-  }
-
-  // return the first item with index index or higher that is visible
-  this.NavNext = function(index) {
-    let focusItem;
-    for (;;) {
-      const focusName = 'Item'+index;
-      focusItem = document.getElementById(focusName);
-      if (focusItem && focusItem.parentNode.parentNode.style.display=='block') {
-        break;
-      } else if (!focusItem) { // last element
-        break;
-      }
-      focusItem=null;
-      index++;
-    }
-    return focusItem;
-  }
-
-  this.NavPrev = function(index) {
-    let focusItem;
-    for (;;) {
-      const focusName = 'Item'+index;
-      focusItem = document.getElementById(focusName);
-      if (focusItem && focusItem.parentNode.parentNode.style.display=='block') {
-        break;
-      } else if (!focusItem) { // last element
-        break;
-      }
-      focusItem=null;
-      index--;
-    }
-    return focusItem;
-  }
-
-  this.ProcessKeys = function(e) {
-    if (e.type == "keydown") {
-      this.repeatOn = false;
-      this.lastKey = e.keyCode;
-    } else if (e.type == "keypress") {
-      if (!this.repeatOn) {
-        if (this.lastKey) this.repeatOn = true;
-        return false; // ignore first keypress after keydown
-      }
-    } else if (e.type == "keyup") {
-      this.lastKey = 0;
-      this.repeatOn = false;
-    }
-    return this.lastKey!=0;
-  }
-
-  this.Nav = function(evt,itemIndex) {
-    const e  = (evt) ? evt : window.event; // for IE
-    if (e.keyCode==13) return true;
-    if (!this.ProcessKeys(e)) return false;
-
-    if (this.lastKey==38) { // Up
-      const newIndex = itemIndex-1;
-      let focusItem = this.NavPrev(newIndex);
-      if (focusItem) {
-        let child = this.FindChildElement(focusItem.parentNode.parentNode.id);
-        if (child && child.style.display == 'block') { // children visible
-          let n=0;
-          let tmpElem;
-          for (;;) { // search for last child
-            tmpElem = document.getElementById('Item'+newIndex+'_c'+n);
-            if (tmpElem) {
-              focusItem = tmpElem;
-            } else { // found it!
-              break;
-            }
-            n++;
-          }
-        }
-      }
-      if (focusItem) {
-        focusItem.focus();
-      } else { // return focus to search field
-        document.getElementById("MSearchField").focus();
-      }
-    } else if (this.lastKey==40) { // Down
-      const newIndex = itemIndex+1;
-      let focusItem;
-      const item = document.getElementById('Item'+itemIndex);
-      const elem = this.FindChildElement(item.parentNode.parentNode.id);
-      if (elem && elem.style.display == 'block') { // children visible
-        focusItem = document.getElementById('Item'+itemIndex+'_c0');
-      }
-      if (!focusItem) focusItem = this.NavNext(newIndex);
-      if (focusItem)  focusItem.focus();
-    } else if (this.lastKey==39) { // Right
-      const item = document.getElementById('Item'+itemIndex);
-      const elem = this.FindChildElement(item.parentNode.parentNode.id);
-      if (elem) elem.style.display = 'block';
-    } else if (this.lastKey==37) { // Left
-      const item = document.getElementById('Item'+itemIndex);
-      const elem = this.FindChildElement(item.parentNode.parentNode.id);
-      if (elem) elem.style.display = 'none';
-    } else if (this.lastKey==27) { // Escape
-      e.stopPropagation();
-      searchBox.CloseResultsWindow();
-      document.getElementById("MSearchField").focus();
-    } else if (this.lastKey==13) { // Enter
-      return true;
-    }
-    return false;
-  }
-
-  this.NavChild = function(evt,itemIndex,childIndex) {
-    const e  = (evt) ? evt : window.event; // for IE
-    if (e.keyCode==13) return true;
-    if (!this.ProcessKeys(e)) return false;
-
-    if (this.lastKey==38) { // Up
-      if (childIndex>0) {
-        const newIndex = childIndex-1;
-        document.getElementById('Item'+itemIndex+'_c'+newIndex).focus();
-      } else { // already at first child, jump to parent
-        document.getElementById('Item'+itemIndex).focus();
-      }
-    } else if (this.lastKey==40) { // Down
-      const newIndex = childIndex+1;
-      let elem = document.getElementById('Item'+itemIndex+'_c'+newIndex);
-      if (!elem) { // last child, jump to parent next parent
-        elem = this.NavNext(itemIndex+1);
-      }
-      if (elem) {
-        elem.focus();
-      }
-    } else if (this.lastKey==27) { // Escape
-      e.stopPropagation();
-      searchBox.CloseResultsWindow();
-      document.getElementById("MSearchField").focus();
-    } else if (this.lastKey==13) { // Enter
-      return true;
-    }
-    return false;
-  }
-}
-
-function createResults(resultsPath) {
-
-  function setKeyActions(elem,action) {
-    elem.setAttribute('onkeydown',action);
-    elem.setAttribute('onkeypress',action);
-    elem.setAttribute('onkeyup',action);
-  }
-
-  function setClassAttr(elem,attr) {
-    elem.setAttribute('class',attr);
-    elem.setAttribute('className',attr);
-  }
-
-  const results = document.getElementById("SRResults");
-  results.innerHTML = '';
-  searchData.forEach((elem,index) => {
-    const id = elem[0];
-    const srResult = document.createElement('div');
-    srResult.setAttribute('id','SR_'+id);
-    setClassAttr(srResult,'SRResult');
-    const srEntry = document.createElement('div');
-    setClassAttr(srEntry,'SREntry');
-    const srLink = document.createElement('a');
-    srLink.setAttribute('id','Item'+index);
-    setKeyActions(srLink,'return searchResults.Nav(event,'+index+')');
-    setClassAttr(srLink,'SRSymbol');
-    srLink.innerHTML = elem[1][0];
-    srEntry.appendChild(srLink);
-    if (elem[1].length==2) { // single result
-      srLink.setAttribute('href',resultsPath+elem[1][1][0]);
-      srLink.setAttribute('onclick','searchBox.CloseResultsWindow()');
-      if (elem[1][1][1]) {
-       srLink.setAttribute('target','_parent');
-      } else {
-       srLink.setAttribute('target','_blank');
-      }
-      const srScope = document.createElement('span');
-      setClassAttr(srScope,'SRScope');
-      srScope.innerHTML = elem[1][1][2];
-      srEntry.appendChild(srScope);
-    } else { // multiple results
-      srLink.setAttribute('href','javascript:searchResults.Toggle("SR_'+id+'")');
-      const srChildren = document.createElement('div');
-      setClassAttr(srChildren,'SRChildren');
-      for (let c=0; c<elem[1].length-1; c++) {
-        const srChild = document.createElement('a');
-        srChild.setAttribute('id','Item'+index+'_c'+c);
-        setKeyActions(srChild,'return searchResults.NavChild(event,'+index+','+c+')');
-        setClassAttr(srChild,'SRScope');
-        srChild.setAttribute('href',resultsPath+elem[1][c+1][0]);
-        srChild.setAttribute('onclick','searchBox.CloseResultsWindow()');
-        if (elem[1][c+1][1]) {
-         srChild.setAttribute('target','_parent');
-        } else {
-         srChild.setAttribute('target','_blank');
-        }
-        srChild.innerHTML = elem[1][c+1][2];
-        srChildren.appendChild(srChild);
-      }
-      srEntry.appendChild(srChildren);
-    }
-    srResult.appendChild(srEntry);
-    results.appendChild(srResult);
-  });
-}
-
-function init_search() {
-  const results = document.getElementById("MSearchSelectWindow");
-
-  results.tabIndex=0;
-  for (let key in indexSectionLabels) {
-    const link = document.createElement('a');
-    link.setAttribute('class','SelectItem');
-    link.setAttribute('onclick','searchBox.OnSelectItem('+key+')');
-    link.href='javascript:void(0)';
-    link.innerHTML='<span class="SelectionMark">&#160;</span>'+indexSectionLabels[key];
-    results.appendChild(link);
-  }
-
-  const input = document.getElementById("MSearchSelect");
-  const searchSelectWindow = document.getElementById("MSearchSelectWindow");
-  input.tabIndex=0;
-  input.addEventListener("keydown", function(event) {
-    if (event.keyCode==13 || event.keyCode==40) {
-      event.preventDefault();
-      if (searchSelectWindow.style.display == 'block') {
-        searchBox.CloseSelectionWindow();
-      } else {
-        searchBox.OnSearchSelectShow();
-        searchBox.DOMSearchSelectWindow().focus();
-      }
-    }
-  });
-  const name = Cookie.readSetting(SEARCH_COOKIE_NAME,0);
-  const id = searchBox.GetSelectionIdByName(name);
-  searchBox.OnSelectItem(id);
-}
-/* @license-end */
diff --git a/docs/manual/search/searchdata.js b/docs/manual/search/searchdata.js
deleted file mode 100644
index 7260cdb..0000000
--- a/docs/manual/search/searchdata.js
+++ /dev/null
@@ -1,18 +0,0 @@
-var indexSectionsWithContent =
-{
-  0: "abceknpst",
-  1: "abceknpst"
-};
-
-var indexSectionNames =
-{
-  0: "all",
-  1: "classes"
-};
-
-var indexSectionLabels =
-{
-  0: "All",
-  1: "Classes"
-};
-
diff --git a/docs/manual/splitbar.png b/docs/manual/splitbar.png
deleted file mode 100644
index fe895f2c58179b471a22d8320b39a4bd7312ec8e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 314
zcmeAS@N?(olHy`uVBq!ia0vp^Yzz!63>-{AmhX=Jf(#6djGiuzAr*{o?=JLmPLyc>
z_*`QK&+BH@jW<lVxsx`Ym~nPnqw$O~`M84{XS6<Mm0<Zit<Tk``D^RashfFq{wG<#
zZG2vRxL<$IhkFMSBd@N1`uRtp)t>rYJ7>r6%keRM@)Qyv8R=enp0jiI>aWlGyB58O
zFVR20d+y`K7vDw(hJF3;>dD*3-?v=<8M)@x|E<fHWtM%;-WUJ&>EGLnJsniYK!2U1
Y!`|5biEc?d1`HDhPgg&ebxsLQ02F6;9RL6T

diff --git a/docs/manual/splitbard.png b/docs/manual/splitbard.png
deleted file mode 100644
index 8367416d757fd7b6dc4272b6432dc75a75abd068..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 282
zcmeAS@N?(olHy`uVBq!ia0vp^Yzz!63>-{AmhX=Jf<Wq_r;B4q1>@VhhFKy35^fiT
zT~&lUj3=cDh^%3HDY9k5CEku}PHXNoNC(_$U3XPb<d2ww+4sWx@iO~d@7T)Z$L;%F
z_Vvfjr-#*_i?>&Q*ME25pT;2(*BOgAf<+R$lzakPG`kF31()Fx{L5Wrac|GQzjeE=
zueY1`Ze{#x<8=S|`~MgGetGce)#vN&|J{Cd^tS%;tBYTo?+^d68<#n_Y_xx`J||4O
V@QB{^CqU0Kc)I$ztaD0e0svEzbJzd?

diff --git a/docs/manual/sync_off.png b/docs/manual/sync_off.png
deleted file mode 100644
index 3b443fc62892114406e3d399421b2a881b897acc..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 853
zcmV-b1FHOqP)<h;3K|Lk000e1NJLTq000;O000;W1^@s6;CDUv0009VNkl<ZcmeI*
zOK4PA7{KxW<S|JmGnqI|rb(KahDirA+8B+gVk8A)%pe9yF;+3L5iKZG7xuBS&@L(k
z33MTXOIxMHjirbWgs8M;qhM?(_-v^nS(KzU#%Ih_`hB-^XYSm&39)2*I6vmhow@fr
z=iKj{vvuv-e;!~uA+biR6pf-n<cdGVuox5<#BBg4c>oT|#XixUYy%lpuf3i8{fX!o
zUyDD0jOrAiT^tq>fLSOOABs-#u{dV^F$b{L9&!2=9&RmV;;8s^x&UqB$PCj4FdKbh
zoB1WTskPUPu05XzFbA}=KZ-GP1fPpAfSs>6AHb12UlR%-i&uOlTpFNS7{jm@mkU1V
zh`nrXr~+^lsV-s1dkZOaI|kYyVj3WBpPCY{n~yd%u%e+d=f%`N0FItMPtdgBb@py;
zq@v6NVArhyTC7)ULw-Jy8y42S1~4n(3LkrW8mW(F-4oXUP3E`e#g**YyqI7h-J2zK
zK{m9##m4ri!7N>CqQqCcnI3hqo1I;Yh&QLNY4T`*ptiQGozK>FF$!$+84Z`xwmeMh
zJ0WT+OH$WYFALEaGj2_l+#DC3t7_S`vHpSivNeFbP6+r50cO<q-Bsh$IuZaopT|9E
z-75alp&U9s%(|8uI^NA(#AD;nc=%{ivdZX(QFJ7~-yf%_Adjk`W@NhjJTyZ8*;|!n
z9=K#TJuZz+={YZ#>8iu)`7i%Z4BTPh@_m3Tk!nAm^)5Bqnr%Ov|Baunj#&RPtRuK&
z4RGz|D5HNrW83-#ydk}tVKJrNmyYt-sT<tBHx6XfOFDx2(ijpMiR>xLGlJY5nc&Re
zU4SgHNPx8~Yxwr$bsju?4q&%T1874xxzq+_%?h8_ofw~(bld=o3iC)LUNR*BY%c0y
zWd_jX{Y8`l%z+ol1$@Qa?Cy!(0CVIEeYpKZ`(9{z>3$CIe;pJDQk$m3p}$>xBm4lb
zKo{4S)`wdU9Ba9jJbVJ0C=SOefZe%d$8=2r={nu<_^a3~>c#t_U6dye5)JrR(_a^E
f@}b6j1K9lwFJq@>o)+Ry00000NkvXXu0mjfWa5j*

diff --git a/docs/manual/sync_on.png b/docs/manual/sync_on.png
deleted file mode 100644
index e08320fb64e6fa33b573005ed6d8fe294e19db76..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 845
zcmV-T1G4;yP)<h;3K|Lk000e1NJLTq000;O000;W1^@s6;CDUv0009NNkl<ZcmeI*
zUr1D09KiAKIOC-Ar)j4&EoU~y1|7@QCTmeCsMH~fFw#|0OWK8m>Y;xxyHF2B5Wzm|
zOOGupOTn@c(JmBOl)e;XMNnZuiTJP>rM8<|Q`7I<ojWskx{8*sm){4kXJ+p2oO6HY
zoL5W7@h*VL_(ZL!7GaSmtl}SWU-XD;q7T4~4ZuW>_))aP?*T)ow&n59{}X4$3Goat
zgjs?*aasfbrokzG5cT4K=uG`E14xZl@z)F<o_Z}1zllSWC8!Z+rkFN>={P0Y^?$4t
z>v!teRnNZym<6h{7sLyF1V0HsfEl+l6TrZpsfr1}luH~F7L}ktXu|*uVX^RG$L0`K
zWs3j|0tIvVe(N%_?2{(iCPFGf#B6Hjy6o&}D$A%W%jfO8_W%ZO#-mh}EM$LMn7joJ
z05dHr!5Y92g+31l<%i1(=L1a1pXX+OYnalY>31V4K}BjyRe3)9n#;-cCVRD_IG1fT
zOKGeNY8q;TL@K{dj@D^scf&VCs*-Jb>8b>|`b*osv52-!A?BpbYtTQBns5EAU**$m
zSnVSm(teh>tQi*S*A>#ySc=n;`BHz`DuG4&g4Kf8lLhca+zvZ7t7RflD6-i-mcK=M
z!=^P$*u2)bkY5asG4gsss!Hn%u~>}kIW`vMs%lJLH+u*9<4PaV_c6U`KqWXQH%+Nu
zTv41O(^ZVi@qhjQdG!fbZw&y+2o!iYymO^?ud3{P*HdoX83YV*Uu_HB=?U&W9%AU#
z80}k1SS-CXTU7dcQlsm<^oYLxVSseqY6NO}dc`Nj?8vrhNuCdm@^{a3AQ_>6myOj+
z`1RsLUXF|dm|3k7s2jD(B{rzE>WI2scH8i1;=O5Cc9xB3^aJk%fQjqsu+kH#0=_5a
z0nCE8@dbQa-|YIuUVvG0L_IwHMEhOj$M<u9&-IHqnYs=DL+lbi3lG2ysF!p!_2H=p
zj-g89hmThki^;JHknVE4V`@zS$(ZbTd?1=dsrXLRiJbUBq7weAmVjEk@rP>j4Uq05
X8=0q~qBNan00000NkvXXu0mjfptF>5

diff --git a/docs/manual/tab_a.png b/docs/manual/tab_a.png
deleted file mode 100644
index 3b725c41c5a527a3a3e40097077d0e206a681247..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 142
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QlXwMjv*C{Z|8b*H5dputLHD#
z=<0|*y7z(Vor?d;H&?EG&cXR}?!j-Lm&u1OOI7AIF5&c)RFE;&p0MYK>*Kl@eiymD
r@|NpwKX@^z+;{u_Z~trSBfrMKa%3`zocFjEXaR$#tDnm{r-UW|TZ1%4

diff --git a/docs/manual/tab_ad.png b/docs/manual/tab_ad.png
deleted file mode 100644
index e34850acfc24be58da6d2fd1ccc6b29cc84fe34d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 135
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QhuH;jv*C{Z|5d*H3V=pKi{In
zd2jxLclDRPylmD}^l7{QOtL{vUjO{-WqItb5sQp2h-99b8^^Scr-=2mblCdZuUm?4
jzOJvgvt3{(cjKLW5(A@0qPS@<&}0TrS3j3^P6<r_{TVK|

diff --git a/docs/manual/tab_b.png b/docs/manual/tab_b.png
deleted file mode 100644
index e2b4a8638cb3496a016eaed9e16ffc12846dea18..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 169
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QU#tajv*C{Z}0l@H7kg?K0Lnr
z!j&C6_(~HV9oQ0Pa6x{-v0AGV_E?vLn<f<Rf3mJ=+uzfrOMlc%s`x4TZtnrR|B~W{
zyZP0m7vvtXV80W5^J2vvp97)4WrPK1-P<H^B$Ll|TGvzm;+92|BpdT89$b1Qf7x5g
UZ&RH}7SL`6Pgg&ebxsLQ0A}n&iU0rr

diff --git a/docs/manual/tab_bd.png b/docs/manual/tab_bd.png
deleted file mode 100644
index 91c25249869ffe5269c24f8c441e3f1bf75df400..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 173
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QYD@)jv*C{Z|_EP9WoGMxiEXC
z*+er<&!~9SeFB;qdWZkM*Qnb6=Y<v@&*3w2PyYNmP%60gwdFMP&wo;^^nBV|3(M2*
z*jxC7^WBy{T+w*t)CB)8J1;C}`Wg1Eu&qNNCxPc5OM{{Il5M+!8{(pt&)hOwq4#ZF
XiX*3<piHC_(0&F_S3j3^P6<r_`0_!v

diff --git a/docs/manual/tab_h.png b/docs/manual/tab_h.png
deleted file mode 100644
index fd5cb705488e60fcf30f56fcc951dee74f3b095b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 177
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QWc&qjv*C{Z}0jF9dr<AdpNI7
zaOs_6=O($9b?lc?Qk=SJVv5%FA{O^TY1^*qJ@<p}E}!uH_1eoPJ&tpVl={bg{Skd2
zp1FO|;|R90%G3WYZM5AU=A4%H?3qaQhHt%H9G|xYJ)ff*|MmI*zD3`*Z|LP?7d&26
cn!ZiLK0QM$CeyB_80ZEDPgg&ebxsLQ0C?O;!~g&Q

diff --git a/docs/manual/tab_hd.png b/docs/manual/tab_hd.png
deleted file mode 100644
index 2489273d4ce1d11d3f7557335244c02b9959351b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 180
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!Qq`U=jv*C{Z|8b*9dZzG*}eKq
zLz7a+10_jMu|=F8x0f5va$Ursw|7c<-`q2fuRgxI>y&q2{!U5bk+Tso_B!YCpDh>v
z{CM*1U8YvQRyBUHt^Ju0W_sq-?;9@_4equ-bavTs=gk796<RKfbH6P<&Zg{jpvTk5
g<odruKTrK<y!3{DoqTGTH_#ajp00i_>zopr0EBT&m;e9(

diff --git a/docs/manual/tab_s.png b/docs/manual/tab_s.png
deleted file mode 100644
index ab478c95b67371d700a20869f7de1ddd73522d50..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 184
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!QuUrLjv*C{Z|^p8HaRdjTwH7)
zC?wLlL}}I{)n%R&r+1}IGmDnq;&J#%V6)9VsYhS`O^BVBQlxOUep0c$RENLq#g8A$
z)z7%K_bI&n@J+X_=x}fJoEKed-$<>=ZI-;YrdjIl`U`uzuDWSP?o#Dmo{%SgM#oan
kX~E1%D-|#H#QbHoIja2U-MgvsK&LQxy85}Sb4q9e0Efg%P5=M^

diff --git a/docs/manual/tab_sd.png b/docs/manual/tab_sd.png
deleted file mode 100644
index 757a565ced4730f85c833fb2547d8e199ae68f19..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 188
zcmeAS@N?(olHy`uVBq!ia0vp^j6kfy!2~3aiye;!Qq7(&jv*C{Z|_!fH5o7*c=%9%
zcILh!EA=pAQKdx-Cdiev=v{eg{8Ht<{e8_NAN~b=)%W>-WDCE0PyDHGemi$BoXwcK
z{>e9^za6*c1ilttWw&V+U;WCPlV9{LdC~Ey%_H(qj`xgfES(4Yz5jSTZfCt`<jkg7
oB>4E$0YRsR*S^mTCR^;V&sxC8{l_Cp7w8-YPgg&ebxsLQ00$vXK>z>%

diff --git a/docs/manual/tabs.css b/docs/manual/tabs.css
deleted file mode 100644
index fe4854a..0000000
--- a/docs/manual/tabs.css
+++ /dev/null
@@ -1 +0,0 @@
-.sm{position:relative;z-index:9999}.sm,.sm ul,.sm li{display:block;list-style:none;margin:0;padding:0;line-height:normal;direction:ltr;text-align:left;-webkit-tap-highlight-color:rgba(0,0,0,0)}.sm-rtl,.sm-rtl ul,.sm-rtl li{direction:rtl;text-align:right}.sm>li>h1,.sm>li>h2,.sm>li>h3,.sm>li>h4,.sm>li>h5,.sm>li>h6{margin:0;padding:0}.sm ul{display:none}.sm li,.sm a{position:relative}.sm a{display:block}.sm a.disabled{cursor:not-allowed}.sm:after{content:"\00a0";display:block;height:0;font:0/0 serif;clear:both;visibility:hidden;overflow:hidden}.sm,.sm *,.sm *:before,.sm *:after{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.main-menu-btn{position:relative;display:inline-block;width:36px;height:36px;text-indent:36px;margin-left:8px;white-space:nowrap;overflow:hidden;cursor:pointer;-webkit-tap-highlight-color:rgba(0,0,0,0)}.main-menu-btn-icon,.main-menu-btn-icon:before,.main-menu-btn-icon:after{position:absolute;top:50%;left:2px;height:2px;width:24px;background:var(--nav-menu-button-color);-webkit-transition:all .25s;transition:all .25s}.main-menu-btn-icon:before{content:'';top:-7px;left:0}.main-menu-btn-icon:after{content:'';top:7px;left:0}#main-menu-state:checked ~ .main-menu-btn .main-menu-btn-icon{height:0}#main-menu-state:checked ~ .main-menu-btn .main-menu-btn-icon:before{top:0;-webkit-transform:rotate(-45deg);transform:rotate(-45deg)}#main-menu-state:checked ~ .main-menu-btn .main-menu-btn-icon:after{top:0;-webkit-transform:rotate(45deg);transform:rotate(45deg)}#main-menu-state{position:absolute;width:1px;height:1px;margin:-1px;border:0;padding:0;overflow:hidden;clip:rect(1px,1px,1px,1px)}#main-menu-state:not(:checked) ~ #main-menu{display:none}#main-menu-state:checked ~ #main-menu{display:block}@media(min-width:768px){.main-menu-btn{position:absolute;top:-99999px}#main-menu-state:not(:checked) ~ #main-menu{display:block}}.sm-dox{background-image:var(--nav-gradient-image)}.sm-dox a,.sm-dox a:focus,.sm-dox a:hover,.sm-dox a:active{padding:0 12px;padding-right:43px;font-family:var(--font-family-nav);font-size:13px;font-weight:bold;line-height:36px;text-decoration:none;text-shadow:var(--nav-text-normal-shadow);color:var(--nav-text-normal-color);outline:0}.sm-dox a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:var(--nav-text-hover-shadow)}.sm-dox a.current{color:#d23600}.sm-dox a.disabled{color:#bbb}.sm-dox a span.sub-arrow{position:absolute;top:50%;margin-top:-14px;left:auto;right:3px;width:28px;height:28px;overflow:hidden;font:bold 12px/28px monospace !important;text-align:center;text-shadow:none;background:var(--nav-menu-toggle-color);-moz-border-radius:5px;-webkit-border-radius:5px;border-radius:5px}.sm-dox a span.sub-arrow:before{display:block;content:'+'}.sm-dox a.highlighted span.sub-arrow:before{display:block;content:'-'}.sm-dox>li:first-child>a,.sm-dox>li:first-child>:not(ul) a{-moz-border-radius:5px 5px 0 0;-webkit-border-radius:5px;border-radius:5px 5px 0 0}.sm-dox>li:last-child>a,.sm-dox>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul{-moz-border-radius:0 0 5px 5px;-webkit-border-radius:0;border-radius:0 0 5px 5px}.sm-dox>li:last-child>a.highlighted,.sm-dox>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>a.highlighted,.sm-dox>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>ul>li:last-child>*:not(ul) a.highlighted{-moz-border-radius:0;-webkit-border-radius:0;border-radius:0}.sm-dox ul{background:var(--nav-menu-background-color)}.sm-dox ul a,.sm-dox ul a:focus,.sm-dox ul a:hover,.sm-dox ul a:active{font-size:12px;border-left:8px solid transparent;line-height:36px;text-shadow:none;background-color:var(--nav-menu-background-color);background-image:none}.sm-dox ul a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:0 1px 1px black}.sm-dox ul ul a,.sm-dox ul ul a:hover,.sm-dox ul ul a:focus,.sm-dox ul ul a:active{border-left:16px solid transparent}.sm-dox ul ul ul a,.sm-dox ul ul ul a:hover,.sm-dox ul ul ul a:focus,.sm-dox ul ul ul a:active{border-left:24px solid transparent}.sm-dox ul ul ul ul a,.sm-dox ul ul ul ul a:hover,.sm-dox ul ul ul ul a:focus,.sm-dox ul ul ul ul a:active{border-left:32px solid transparent}.sm-dox ul ul ul ul ul a,.sm-dox ul ul ul ul ul a:hover,.sm-dox ul ul ul ul ul a:focus,.sm-dox ul ul ul ul ul a:active{border-left:40px solid transparent}@media(min-width:768px){.sm-dox ul{position:absolute;width:12em}.sm-dox li{float:left}.sm-dox.sm-rtl li{float:right}.sm-dox ul li,.sm-dox.sm-rtl ul li,.sm-dox.sm-vertical li{float:none}.sm-dox a{white-space:nowrap}.sm-dox ul a,.sm-dox.sm-vertical a{white-space:normal}.sm-dox .sm-nowrap>li>a,.sm-dox .sm-nowrap>li>:not(ul) a{white-space:nowrap}.sm-dox{padding:0 10px;background-image:var(--nav-gradient-image);line-height:36px}.sm-dox a span.sub-arrow{top:50%;margin-top:-2px;right:12px;width:0;height:0;border-width:4px;border-style:solid dashed dashed dashed;border-color:var(--nav-text-normal-color) transparent transparent transparent;background:transparent;-moz-border-radius:0;-webkit-border-radius:0;border-radius:0}.sm-dox a,.sm-dox a:focus,.sm-dox a:active,.sm-dox a:hover,.sm-dox a.highlighted{padding:0 12px;background-image:var(--nav-separator-image);background-repeat:no-repeat;background-position:right;-moz-border-radius:0 !important;-webkit-border-radius:0;border-radius:0 !important}.sm-dox a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:var(--nav-text-hover-shadow)}.sm-dox a:hover span.sub-arrow{border-color:var(--nav-text-hover-color) transparent transparent transparent}.sm-dox a.has-submenu{padding-right:24px}.sm-dox li{border-top:0}.sm-dox>li>ul:before,.sm-dox>li>ul:after{content:'';position:absolute;top:-18px;left:30px;width:0;height:0;overflow:hidden;border-width:9px;border-style:dashed dashed solid dashed;border-color:transparent transparent #bbb transparent}.sm-dox>li>ul:after{top:-16px;left:31px;border-width:8px;border-color:transparent transparent var(--nav-menu-background-color) transparent}.sm-dox ul{border:1px solid #bbb;padding:5px 0;background:var(--nav-menu-background-color);-moz-border-radius:5px !important;-webkit-border-radius:5px;border-radius:5px !important;-moz-box-shadow:0 5px 9px rgba(0,0,0,0.2);-webkit-box-shadow:0 5px 9px rgba(0,0,0,0.2);box-shadow:0 5px 9px rgba(0,0,0,0.2)}.sm-dox ul a span.sub-arrow{right:8px;top:50%;margin-top:-5px;border-width:5px;border-color:transparent transparent transparent var(--nav-menu-foreground-color);border-style:dashed dashed dashed solid}.sm-dox ul a,.sm-dox ul a:hover,.sm-dox ul a:focus,.sm-dox ul a:active,.sm-dox ul a.highlighted{color:var(--nav-menu-foreground-color);background-image:none;border:0 !important}.sm-dox ul a:hover{background-image:var(--nav-gradient-active-image);background-repeat:repeat-x;color:var(--nav-text-hover-color);text-shadow:var(--nav-text-hover-shadow)}.sm-dox ul a:hover span.sub-arrow{border-color:transparent transparent transparent var(--nav-text-hover-color)}.sm-dox span.scroll-up,.sm-dox span.scroll-down{position:absolute;display:none;visibility:hidden;overflow:hidden;background:var(--nav-menu-background-color);height:36px}.sm-dox span.scroll-up:hover,.sm-dox span.scroll-down:hover{background:#eee}.sm-dox span.scroll-up:hover span.scroll-up-arrow,.sm-dox span.scroll-up:hover span.scroll-down-arrow{border-color:transparent transparent #d23600 transparent}.sm-dox span.scroll-down:hover span.scroll-down-arrow{border-color:#d23600 transparent transparent transparent}.sm-dox span.scroll-up-arrow,.sm-dox span.scroll-down-arrow{position:absolute;top:0;left:50%;margin-left:-6px;width:0;height:0;overflow:hidden;border-width:6px;border-style:dashed dashed solid dashed;border-color:transparent transparent var(--nav-menu-foreground-color) transparent}.sm-dox span.scroll-down-arrow{top:8px;border-style:solid dashed dashed dashed;border-color:var(--nav-menu-foreground-color) transparent transparent transparent}.sm-dox.sm-rtl a.has-submenu{padding-right:12px;padding-left:24px}.sm-dox.sm-rtl a span.sub-arrow{right:auto;left:12px}.sm-dox.sm-rtl.sm-vertical a.has-submenu{padding:10px 20px}.sm-dox.sm-rtl.sm-vertical a span.sub-arrow{right:auto;left:8px;border-style:dashed solid dashed dashed;border-color:transparent #555 transparent transparent}.sm-dox.sm-rtl>li>ul:before{left:auto;right:30px}.sm-dox.sm-rtl>li>ul:after{left:auto;right:31px}.sm-dox.sm-rtl ul a.has-submenu{padding:10px 20px !important}.sm-dox.sm-rtl ul a span.sub-arrow{right:auto;left:8px;border-style:dashed solid dashed dashed;border-color:transparent #555 transparent transparent}.sm-dox.sm-vertical{padding:10px 0;-moz-border-radius:5px;-webkit-border-radius:5px;border-radius:5px}.sm-dox.sm-vertical a{padding:10px 20px}.sm-dox.sm-vertical a:hover,.sm-dox.sm-vertical a:focus,.sm-dox.sm-vertical a:active,.sm-dox.sm-vertical a.highlighted{background:#fff}.sm-dox.sm-vertical a.disabled{background-image:var(--nav-gradient-image)}.sm-dox.sm-vertical a span.sub-arrow{right:8px;top:50%;margin-top:-5px;border-width:5px;border-style:dashed dashed dashed solid;border-color:transparent transparent transparent #555}.sm-dox.sm-vertical>li>ul:before,.sm-dox.sm-vertical>li>ul:after{display:none}.sm-dox.sm-vertical ul a{padding:10px 20px}.sm-dox.sm-vertical ul a:hover,.sm-dox.sm-vertical ul a:focus,.sm-dox.sm-vertical ul a:active,.sm-dox.sm-vertical ul a.highlighted{background:#eee}.sm-dox.sm-vertical ul a.disabled{background:var(--nav-menu-background-color)}}
\ No newline at end of file

From b0bd0e6eee6650770bc1e53565b17ae64064a491 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Wed, 22 May 2024 11:10:21 +0200
Subject: [PATCH 15/21] Create doc target to build documentation

---
 .gitignore       |  4 ++++
 CMakeLists.txt   | 17 +++++++----------
 Makefile         |  7 ++++++-
 docs/Doxyfile.in |  6 +++---
 4 files changed, 20 insertions(+), 14 deletions(-)

diff --git a/.gitignore b/.gitignore
index a1c4460..fa86698 100644
--- a/.gitignore
+++ b/.gitignore
@@ -40,4 +40,8 @@ puml/**
 .vscode/settings.json
 sample/build
 **/.DS_Store
+docs/manual
+docs/man3
+docs/man
+docs/Doxyfile
 
diff --git a/CMakeLists.txt b/CMakeLists.txt
index ffaabd6..5a2d731 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -92,14 +92,11 @@ install(FILES ${CMAKE_BINARY_DIR}/configured_files/include/bayesnet/config.h DES
 
 # Documentation
 # -------------
-set(doxyfile_in ${CMAKE_CURRENT_SOURCE_DIR}/doxygen/Doxyfile.in)
-set(doxyfile ${CMAKE_CURRENT_BINARY_DIR}/Doxyfile)
+find_package(Doxygen REQUIRED dot)
+set(DOC_DIR ${CMAKE_CURRENT_SOURCE_DIR}/docs)
+set(doxyfile_in ${DOC_DIR}/Doxyfile.in)
+set(doxyfile ${DOC_DIR}/Doxyfile)
 configure_file(${doxyfile_in} ${doxyfile} @ONLY)
-
-# doc build only target, target is not in default build, so it must be
-# triggered explicitly
-add_custom_target(doc
-    COMMAND ${DOXYGEN_EXECUTABLE} ${doxyfile}
-    WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
-    COMMENT "Generating API documentation with Doxygen"
-    VERBATIM)
\ No newline at end of file
+doxygen_add_docs(doxygen
+    WORKING_DIRECTORY ${DOC_DIR}
+    CONFIG_FILE ${doxyfile})
diff --git a/Makefile b/Makefile
index 729db2f..aab1cc5 100644
--- a/Makefile
+++ b/Makefile
@@ -1,6 +1,6 @@
 SHELL := /bin/bash
 .DEFAULT_GOAL := help
-.PHONY: viewcoverage coverage setup help install uninstall diagrams buildr buildd test clean debug release sample updatebadge
+.PHONY: viewcoverage coverage setup help install uninstall diagrams buildr buildd test clean debug release sample updatebadge doc
 
 f_release = build_Release
 f_debug = build_Debug
@@ -145,6 +145,11 @@ updatebadge: ## Update the coverage badge in README.md
 	@env python update_coverage.py $(f_debug)/tests
 	@echo ">>> Done";
 
+doc: ## Generate documentation
+	@echo ">>> Generating documentation..."
+	@cmake --build $(f_release) -t doxygen
+	@echo ">>> Done";
+
 help: ## Show help message
 	@IFS=$$'\n' ; \
 	help_lines=(`fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \
diff --git a/docs/Doxyfile.in b/docs/Doxyfile.in
index 147e0b5..95acb53 100644
--- a/docs/Doxyfile.in
+++ b/docs/Doxyfile.in
@@ -42,19 +42,19 @@ DOXYFILE_ENCODING      = UTF-8
 # title of most generated pages and in a few other places.
 # The default value is: My Project.
 
-PROJECT_NAME           = BayesNet
+PROJECT_NAME           = "@CMAKE_PROJECT_NAME@"
 
 # The PROJECT_NUMBER tag can be used to enter a project or revision number. This
 # could be handy for archiving the generated documentation or if some version
 # control system is used.
 
-PROJECT_NUMBER         = 1.0.5
+PROJECT_NUMBER         = @PROJECT_VERSION_MAJOR@.@PROJECT_VERSION_MINOR@.@PROJECT_VERSION_PATCH@.@PROJECT_VERSION_TWEAK@
 
 # Using the PROJECT_BRIEF tag one can provide an optional one line description
 # for a project that appears at the top of each page and should give viewer a
 # quick idea about the purpose of the project. Keep the description short.
 
-PROJECT_BRIEF          = "Bayesian Network Classifiers using libtorch from scratch"
+PROJECT_BRIEF          = "@CMAKE_PROJECT_DESCRIPTION@"
 
 # With the PROJECT_LOGO tag one can specify a logo or an icon that is included
 # in the documentation. The maximum height of the logo should not exceed 55

From fa35681abee95700775be69efc363af98f55fdab Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Wed, 22 May 2024 11:39:33 +0200
Subject: [PATCH 16/21] Add documentation link to readme

---
 README.md | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 861499b..67d8213 100644
--- a/README.md
+++ b/README.md
@@ -67,10 +67,14 @@ make sample fname=tests/data/glass.arff
 
 #### - SPODE
 
+#### - SPnDE
+
 #### - AODE
 
 #### - [BoostAODE](docs/BoostAODE.md)
 
+#### - BoostA2DE
+
 ### With Local Discretization
 
 #### - TANLd
@@ -81,6 +85,12 @@ make sample fname=tests/data/glass.arff
 
 #### - AODELd
 
+## Documentation
+
+### [Manual](https://rmontanana.github.io/bayesnet/)
+
+### [Coverage report](docs/coverage.pdf)
+
 ## Diagrams
 
 ### UML Class Diagram
@@ -90,7 +100,3 @@ make sample fname=tests/data/glass.arff
 ### Dependency Diagram
 
 ![BayesNet Dependency Diagram](diagrams/dependency.svg)
-
-## Coverage report
-
-### [Coverage report](docs/coverage.pdf)

From f5cb46ee29a99e524625d6ba1ad65b324b772d9a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Wed, 22 May 2024 12:09:58 +0200
Subject: [PATCH 17/21] Add doc-install to Makefile

---
 CHANGELOG.md |  4 ++++
 Makefile     | 19 ++++++++++++++++++-
 2 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 016627c..585439a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -17,6 +17,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - A2DE & SPnDE tests.
 - Add tests to reach 99% of coverage.
 - Add tests to check the correct version of the mdlp, folding and json libraries.
+- Library documentation generated with Doxygen.
+- Link to documentation in the README.md.
 
 ### Internal
 
@@ -27,6 +29,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Refactor Coverage Report generation.
 - Add devcontainer to work on apple silicon.
 - Change build cmake folder names to Debug & Release.
+- Add a Makefile target (doc) to generate the documentation.
+- Add a Makefile target (doc-install) to install the documentation.
 
 ## [1.0.5] 2024-04-20
 
diff --git a/Makefile b/Makefile
index aab1cc5..6d8a7aa 100644
--- a/Makefile
+++ b/Makefile
@@ -1,6 +1,6 @@
 SHELL := /bin/bash
 .DEFAULT_GOAL := help
-.PHONY: viewcoverage coverage setup help install uninstall diagrams buildr buildd test clean debug release sample updatebadge doc
+.PHONY: viewcoverage coverage setup help install uninstall diagrams buildr buildd test clean debug release sample updatebadge doc doc-install
 
 f_release = build_Release
 f_debug = build_Debug
@@ -13,6 +13,9 @@ lcov = lcov
 genhtml = genhtml
 dot = dot
 n_procs = -j 16
+docsrcdir = docs/manual
+mansrcdir = docs/man3
+mandestdir = /usr/local/share/man
 
 define ClearTests
 	@for t in $(test_targets); do \
@@ -150,6 +153,20 @@ doc: ## Generate documentation
 	@cmake --build $(f_release) -t doxygen
 	@echo ">>> Done";
 
+docdir = ""
+doc-install: ## Install documentation
+	@echo ">>> Installing documentation..."
+	@if [ "$(docdir)" = "" ]; then \
+		echo "docdir parameter has to be set when calling doc-install"; \
+		exit 1; \
+	fi
+	@if [ ! -d $(docdir) ]; then \
+		@$(MAKE) doc; \
+	fi
+	@cp -rp $(docsrcdir)/* $(docdir)
+	@sudo cp -rp $(mansrcdir) $(mandestdir)
+	@echo ">>> Done";
+
 help: ## Show help message
 	@IFS=$$'\n' ; \
 	help_lines=(`fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##/:/'`); \

From c833e9ba32cbecf2fac0f6772f58d2ea63148d8f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Thu, 23 May 2024 16:27:02 +0200
Subject: [PATCH 18/21] Remove coverage report from html folder and integrate
 in doc

---
 Makefile                                      |   10 +-
 README.md                                     |    2 +-
 docs/Doxyfile.in                              |    6 +-
 docs/coverage.pdf                             |  Bin 22170 -> 0 bytes
 html/amber.png                                |  Bin 141 -> 0 bytes
 html/bayesnet/BaseClassifier.h.func-c.html    |   90 --
 html/bayesnet/BaseClassifier.h.func.html      |   90 --
 .../BaseClassifier.h.gcov.frameset.html       |   19 -
 html/bayesnet/BaseClassifier.h.gcov.html      |  129 --
 .../BaseClassifier.h.gcov.overview.html       |   32 -
 html/bayesnet/BaseClassifier.h.gcov.png       |  Bin 372 -> 0 bytes
 .../classifiers/Classifier.cc.func-c.html     |  251 ----
 .../classifiers/Classifier.cc.func.html       |  251 ----
 .../Classifier.cc.gcov.frameset.html          |   19 -
 .../classifiers/Classifier.cc.gcov.html       |  278 -----
 .../Classifier.cc.gcov.overview.html          |   69 --
 .../classifiers/Classifier.cc.gcov.png        |  Bin 852 -> 0 bytes
 .../classifiers/Classifier.h.func-c.html      |  111 --
 .../classifiers/Classifier.h.func.html        |  111 --
 .../Classifier.h.gcov.frameset.html           |   19 -
 .../classifiers/Classifier.h.gcov.html        |  149 ---
 .../Classifier.h.gcov.overview.html           |   37 -
 .../classifiers/Classifier.h.gcov.png         |  Bin 453 -> 0 bytes
 html/bayesnet/classifiers/KDB.cc.func-c.html  |  118 --
 html/bayesnet/classifiers/KDB.cc.func.html    |  118 --
 .../classifiers/KDB.cc.gcov.frameset.html     |   19 -
 html/bayesnet/classifiers/KDB.cc.gcov.html    |  195 ---
 .../classifiers/KDB.cc.gcov.overview.html     |   48 -
 html/bayesnet/classifiers/KDB.cc.gcov.png     |  Bin 814 -> 0 bytes
 html/bayesnet/classifiers/KDB.h.func-c.html   |   90 --
 html/bayesnet/classifiers/KDB.h.func.html     |   90 --
 .../classifiers/KDB.h.gcov.frameset.html      |   19 -
 html/bayesnet/classifiers/KDB.h.gcov.html     |  111 --
 .../classifiers/KDB.h.gcov.overview.html      |   27 -
 html/bayesnet/classifiers/KDB.h.gcov.png      |  Bin 279 -> 0 bytes
 .../bayesnet/classifiers/KDBLd.cc.func-c.html |  111 --
 html/bayesnet/classifiers/KDBLd.cc.func.html  |  111 --
 .../classifiers/KDBLd.cc.gcov.frameset.html   |   19 -
 html/bayesnet/classifiers/KDBLd.cc.gcov.html  |  119 --
 .../classifiers/KDBLd.cc.gcov.overview.html   |   29 -
 html/bayesnet/classifiers/KDBLd.cc.gcov.png   |  Bin 333 -> 0 bytes
 html/bayesnet/classifiers/KDBLd.h.func-c.html |   90 --
 html/bayesnet/classifiers/KDBLd.h.func.html   |   90 --
 .../classifiers/KDBLd.h.gcov.frameset.html    |   19 -
 html/bayesnet/classifiers/KDBLd.h.gcov.html   |  108 --
 .../classifiers/KDBLd.h.gcov.overview.html    |   26 -
 html/bayesnet/classifiers/KDBLd.h.gcov.png    |  Bin 265 -> 0 bytes
 .../classifiers/Proposal.cc.func-c.html       |  139 ---
 .../classifiers/Proposal.cc.func.html         |  139 ---
 .../Proposal.cc.gcov.frameset.html            |   19 -
 .../classifiers/Proposal.cc.gcov.html         |  200 ---
 .../Proposal.cc.gcov.overview.html            |   49 -
 .../bayesnet/classifiers/Proposal.cc.gcov.png |  Bin 796 -> 0 bytes
 .../bayesnet/classifiers/SPODE.cc.func-c.html |  104 --
 html/bayesnet/classifiers/SPODE.cc.func.html  |  104 --
 .../classifiers/SPODE.cc.gcov.frameset.html   |   19 -
 html/bayesnet/classifiers/SPODE.cc.gcov.html  |  115 --
 .../classifiers/SPODE.cc.gcov.overview.html   |   28 -
 html/bayesnet/classifiers/SPODE.cc.gcov.png   |  Bin 310 -> 0 bytes
 html/bayesnet/classifiers/SPODE.h.func-c.html |   90 --
 html/bayesnet/classifiers/SPODE.h.func.html   |   90 --
 .../classifiers/SPODE.h.gcov.frameset.html    |   19 -
 html/bayesnet/classifiers/SPODE.h.gcov.html   |  107 --
 .../classifiers/SPODE.h.gcov.overview.html    |   26 -
 html/bayesnet/classifiers/SPODE.h.gcov.png    |  Bin 245 -> 0 bytes
 .../classifiers/SPODELd.cc.func-c.html        |  125 --
 .../bayesnet/classifiers/SPODELd.cc.func.html |  125 --
 .../classifiers/SPODELd.cc.gcov.frameset.html |   19 -
 .../bayesnet/classifiers/SPODELd.cc.gcov.html |  134 --
 .../classifiers/SPODELd.cc.gcov.overview.html |   33 -
 html/bayesnet/classifiers/SPODELd.cc.gcov.png |  Bin 403 -> 0 bytes
 .../classifiers/SPODELd.h.func-c.html         |   90 --
 html/bayesnet/classifiers/SPODELd.h.func.html |   90 --
 .../classifiers/SPODELd.h.gcov.frameset.html  |   19 -
 html/bayesnet/classifiers/SPODELd.h.gcov.html |  109 --
 .../classifiers/SPODELd.h.gcov.overview.html  |   27 -
 html/bayesnet/classifiers/SPODELd.h.gcov.png  |  Bin 270 -> 0 bytes
 .../bayesnet/classifiers/SPnDE.cc.func-c.html |  104 --
 html/bayesnet/classifiers/SPnDE.cc.func.html  |  104 --
 .../classifiers/SPnDE.cc.gcov.frameset.html   |   19 -
 html/bayesnet/classifiers/SPnDE.cc.gcov.html  |  122 --
 .../classifiers/SPnDE.cc.gcov.overview.html   |   30 -
 html/bayesnet/classifiers/SPnDE.cc.gcov.png   |  Bin 332 -> 0 bytes
 html/bayesnet/classifiers/SPnDE.h.func-c.html |   90 --
 html/bayesnet/classifiers/SPnDE.h.func.html   |   90 --
 .../classifiers/SPnDE.h.gcov.frameset.html    |   19 -
 html/bayesnet/classifiers/SPnDE.h.gcov.html   |  110 --
 .../classifiers/SPnDE.h.gcov.overview.html    |   27 -
 html/bayesnet/classifiers/SPnDE.h.gcov.png    |  Bin 254 -> 0 bytes
 html/bayesnet/classifiers/TAN.cc.func-c.html  |  111 --
 html/bayesnet/classifiers/TAN.cc.func.html    |  111 --
 .../classifiers/TAN.cc.gcov.frameset.html     |   19 -
 html/bayesnet/classifiers/TAN.cc.gcov.html    |  129 --
 .../classifiers/TAN.cc.gcov.overview.html     |   32 -
 html/bayesnet/classifiers/TAN.cc.gcov.png     |  Bin 414 -> 0 bytes
 html/bayesnet/classifiers/TAN.h.func-c.html   |   90 --
 html/bayesnet/classifiers/TAN.h.func.html     |   90 --
 .../classifiers/TAN.h.gcov.frameset.html      |   19 -
 html/bayesnet/classifiers/TAN.h.gcov.html     |  105 --
 .../classifiers/TAN.h.gcov.overview.html      |   26 -
 html/bayesnet/classifiers/TAN.h.gcov.png      |  Bin 238 -> 0 bytes
 .../bayesnet/classifiers/TANLd.cc.func-c.html |  111 --
 html/bayesnet/classifiers/TANLd.cc.func.html  |  111 --
 .../classifiers/TANLd.cc.gcov.frameset.html   |   19 -
 html/bayesnet/classifiers/TANLd.cc.gcov.html  |  120 --
 .../classifiers/TANLd.cc.gcov.overview.html   |   29 -
 html/bayesnet/classifiers/TANLd.cc.gcov.png   |  Bin 336 -> 0 bytes
 html/bayesnet/classifiers/TANLd.h.func-c.html |   90 --
 html/bayesnet/classifiers/TANLd.h.func.html   |   90 --
 .../classifiers/TANLd.h.gcov.frameset.html    |   19 -
 html/bayesnet/classifiers/TANLd.h.gcov.html   |  108 --
 .../classifiers/TANLd.h.gcov.overview.html    |   26 -
 html/bayesnet/classifiers/TANLd.h.gcov.png    |  Bin 260 -> 0 bytes
 .../classifiers/index-detail-sort-f.html      |  306 -----
 .../classifiers/index-detail-sort-l.html      |  306 -----
 html/bayesnet/classifiers/index-detail.html   |  306 -----
 html/bayesnet/classifiers/index-sort-f.html   |  306 -----
 html/bayesnet/classifiers/index-sort-l.html   |  306 -----
 html/bayesnet/classifiers/index.html          |  306 -----
 html/bayesnet/ensembles/A2DE.cc.func-c.html   |  111 --
 html/bayesnet/ensembles/A2DE.cc.func.html     |  111 --
 .../ensembles/A2DE.cc.gcov.frameset.html      |   19 -
 html/bayesnet/ensembles/A2DE.cc.gcov.html     |  124 --
 .../ensembles/A2DE.cc.gcov.overview.html      |   30 -
 html/bayesnet/ensembles/A2DE.cc.gcov.png      |  Bin 324 -> 0 bytes
 html/bayesnet/ensembles/A2DE.h.func-c.html    |   90 --
 html/bayesnet/ensembles/A2DE.h.func.html      |   90 --
 .../ensembles/A2DE.h.gcov.frameset.html       |   19 -
 html/bayesnet/ensembles/A2DE.h.gcov.html      |  106 --
 .../ensembles/A2DE.h.gcov.overview.html       |   26 -
 html/bayesnet/ensembles/A2DE.h.gcov.png       |  Bin 246 -> 0 bytes
 html/bayesnet/ensembles/AODE.cc.func-c.html   |  111 --
 html/bayesnet/ensembles/AODE.cc.func.html     |  111 --
 .../ensembles/AODE.cc.gcov.frameset.html      |   19 -
 html/bayesnet/ensembles/AODE.cc.gcov.html     |  122 --
 .../ensembles/AODE.cc.gcov.overview.html      |   30 -
 html/bayesnet/ensembles/AODE.cc.gcov.png      |  Bin 307 -> 0 bytes
 html/bayesnet/ensembles/AODE.h.func-c.html    |   90 --
 html/bayesnet/ensembles/AODE.h.func.html      |   90 --
 .../ensembles/AODE.h.gcov.frameset.html       |   19 -
 html/bayesnet/ensembles/AODE.h.gcov.html      |  106 --
 .../ensembles/AODE.h.gcov.overview.html       |   26 -
 html/bayesnet/ensembles/AODE.h.gcov.png       |  Bin 246 -> 0 bytes
 html/bayesnet/ensembles/AODELd.cc.func-c.html |  118 --
 html/bayesnet/ensembles/AODELd.cc.func.html   |  118 --
 .../ensembles/AODELd.cc.gcov.frameset.html    |   19 -
 html/bayesnet/ensembles/AODELd.cc.gcov.html   |  131 --
 .../ensembles/AODELd.cc.gcov.overview.html    |   32 -
 html/bayesnet/ensembles/AODELd.cc.gcov.png    |  Bin 388 -> 0 bytes
 html/bayesnet/ensembles/AODELd.h.func-c.html  |   90 --
 html/bayesnet/ensembles/AODELd.h.func.html    |   90 --
 .../ensembles/AODELd.h.gcov.frameset.html     |   19 -
 html/bayesnet/ensembles/AODELd.h.gcov.html    |  109 --
 .../ensembles/AODELd.h.gcov.overview.html     |   27 -
 html/bayesnet/ensembles/AODELd.h.gcov.png     |  Bin 261 -> 0 bytes
 .../ensembles/BoostAODE.cc.func-c.html        |  146 ---
 .../bayesnet/ensembles/BoostAODE.cc.func.html |  146 ---
 .../ensembles/BoostAODE.cc.gcov.frameset.html |   19 -
 .../bayesnet/ensembles/BoostAODE.cc.gcov.html |  480 --------
 .../ensembles/BoostAODE.cc.gcov.overview.html |  119 --
 html/bayesnet/ensembles/BoostAODE.cc.gcov.png |  Bin 2128 -> 0 bytes
 .../ensembles/BoostAODE.h.func-c.html         |   90 --
 html/bayesnet/ensembles/BoostAODE.h.func.html |   90 --
 .../ensembles/BoostAODE.h.gcov.frameset.html  |   19 -
 html/bayesnet/ensembles/BoostAODE.h.gcov.html |  134 --
 .../ensembles/BoostAODE.h.gcov.overview.html  |   33 -
 html/bayesnet/ensembles/BoostAODE.h.gcov.png  |  Bin 386 -> 0 bytes
 .../ensembles/Ensemble.cc.func-c.html         |  258 ----
 html/bayesnet/ensembles/Ensemble.cc.func.html |  258 ----
 .../ensembles/Ensemble.cc.gcov.frameset.html  |   19 -
 html/bayesnet/ensembles/Ensemble.cc.gcov.html |  306 -----
 .../ensembles/Ensemble.cc.gcov.overview.html  |   76 --
 html/bayesnet/ensembles/Ensemble.cc.gcov.png  |  Bin 912 -> 0 bytes
 .../bayesnet/ensembles/Ensemble.h.func-c.html |  104 --
 html/bayesnet/ensembles/Ensemble.h.func.html  |  104 --
 .../ensembles/Ensemble.h.gcov.frameset.html   |   19 -
 html/bayesnet/ensembles/Ensemble.h.gcov.html  |  137 ---
 .../ensembles/Ensemble.h.gcov.overview.html   |   34 -
 html/bayesnet/ensembles/Ensemble.h.gcov.png   |  Bin 386 -> 0 bytes
 .../ensembles/index-detail-sort-f.html        |  222 ----
 .../ensembles/index-detail-sort-l.html        |  222 ----
 html/bayesnet/ensembles/index-detail.html     |  222 ----
 html/bayesnet/ensembles/index-sort-f.html     |  222 ----
 html/bayesnet/ensembles/index-sort-l.html     |  222 ----
 html/bayesnet/ensembles/index.html            |  222 ----
 .../feature_selection/CFS.cc.func-c.html      |   97 --
 .../feature_selection/CFS.cc.func.html        |   97 --
 .../CFS.cc.gcov.frameset.html                 |   19 -
 .../feature_selection/CFS.cc.gcov.html        |  162 ---
 .../CFS.cc.gcov.overview.html                 |   40 -
 .../feature_selection/CFS.cc.gcov.png         |  Bin 539 -> 0 bytes
 .../feature_selection/CFS.h.func-c.html       |   97 --
 .../feature_selection/CFS.h.func.html         |   97 --
 .../CFS.h.gcov.frameset.html                  |   19 -
 .../feature_selection/CFS.h.gcov.html         |  110 --
 .../CFS.h.gcov.overview.html                  |   27 -
 .../bayesnet/feature_selection/CFS.h.gcov.png |  Bin 266 -> 0 bytes
 .../feature_selection/FCBF.cc.func-c.html     |   97 --
 .../feature_selection/FCBF.cc.func.html       |   97 --
 .../FCBF.cc.gcov.frameset.html                |   19 -
 .../feature_selection/FCBF.cc.gcov.html       |  134 --
 .../FCBF.cc.gcov.overview.html                |   33 -
 .../feature_selection/FCBF.cc.gcov.png        |  Bin 397 -> 0 bytes
 .../feature_selection/FCBF.h.func-c.html      |   90 --
 .../feature_selection/FCBF.h.func.html        |   90 --
 .../FCBF.h.gcov.frameset.html                 |   19 -
 .../feature_selection/FCBF.h.gcov.html        |  107 --
 .../FCBF.h.gcov.overview.html                 |   26 -
 .../feature_selection/FCBF.h.gcov.png         |  Bin 254 -> 0 bytes
 .../FeatureSelect.cc.func-c.html              |  139 ---
 .../FeatureSelect.cc.func.html                |  139 ---
 .../FeatureSelect.cc.gcov.frameset.html       |   19 -
 .../FeatureSelect.cc.gcov.html                |  168 ---
 .../FeatureSelect.cc.gcov.overview.html       |   41 -
 .../FeatureSelect.cc.gcov.png                 |  Bin 516 -> 0 bytes
 .../FeatureSelect.h.func-c.html               |   90 --
 .../FeatureSelect.h.func.html                 |   90 --
 .../FeatureSelect.h.gcov.frameset.html        |   19 -
 .../FeatureSelect.h.gcov.html                 |  120 --
 .../FeatureSelect.h.gcov.overview.html        |   29 -
 .../FeatureSelect.h.gcov.png                  |  Bin 316 -> 0 bytes
 .../feature_selection/IWSS.cc.func-c.html     |   97 --
 .../feature_selection/IWSS.cc.func.html       |   97 --
 .../IWSS.cc.gcov.frameset.html                |   19 -
 .../feature_selection/IWSS.cc.gcov.html       |  137 ---
 .../IWSS.cc.gcov.overview.html                |   34 -
 .../feature_selection/IWSS.cc.gcov.png        |  Bin 431 -> 0 bytes
 .../feature_selection/IWSS.h.func-c.html      |   90 --
 .../feature_selection/IWSS.h.func.html        |   90 --
 .../IWSS.h.gcov.frameset.html                 |   19 -
 .../feature_selection/IWSS.h.gcov.html        |  107 --
 .../IWSS.h.gcov.overview.html                 |   26 -
 .../feature_selection/IWSS.h.gcov.png         |  Bin 255 -> 0 bytes
 .../index-detail-sort-f.html                  |  198 ---
 .../index-detail-sort-l.html                  |  198 ---
 .../feature_selection/index-detail.html       |  198 ---
 .../feature_selection/index-sort-f.html       |  198 ---
 .../feature_selection/index-sort-l.html       |  198 ---
 html/bayesnet/feature_selection/index.html    |  198 ---
 html/bayesnet/index-detail-sort-f.html        |  114 --
 html/bayesnet/index-detail-sort-l.html        |  114 --
 html/bayesnet/index-detail.html               |  114 --
 html/bayesnet/index-sort-f.html               |  114 --
 html/bayesnet/index-sort-l.html               |  114 --
 html/bayesnet/index.html                      |  114 --
 html/bayesnet/network/Network.cc.func-c.html  |  363 ------
 html/bayesnet/network/Network.cc.func.html    |  363 ------
 .../network/Network.cc.gcov.frameset.html     |   19 -
 html/bayesnet/network/Network.cc.gcov.html    |  513 --------
 .../network/Network.cc.gcov.overview.html     |  128 --
 html/bayesnet/network/Network.cc.gcov.png     |  Bin 1925 -> 0 bytes
 html/bayesnet/network/Network.h.func-c.html   |   90 --
 html/bayesnet/network/Network.h.func.html     |   90 --
 .../network/Network.h.gcov.frameset.html      |   19 -
 html/bayesnet/network/Network.h.gcov.html     |  153 ---
 .../network/Network.h.gcov.overview.html      |   38 -
 html/bayesnet/network/Network.h.gcov.png      |  Bin 478 -> 0 bytes
 html/bayesnet/network/Node.cc.func-c.html     |  223 ----
 html/bayesnet/network/Node.cc.func.html       |  223 ----
 .../network/Node.cc.gcov.frameset.html        |   19 -
 html/bayesnet/network/Node.cc.gcov.html       |  224 ----
 .../network/Node.cc.gcov.overview.html        |   55 -
 html/bayesnet/network/Node.cc.gcov.png        |  Bin 758 -> 0 bytes
 .../bayesnet/network/index-detail-sort-f.html |  138 ---
 .../bayesnet/network/index-detail-sort-l.html |  138 ---
 html/bayesnet/network/index-detail.html       |  138 ---
 html/bayesnet/network/index-sort-f.html       |  138 ---
 html/bayesnet/network/index-sort-l.html       |  138 ---
 html/bayesnet/network/index.html              |  138 ---
 .../utils/BayesMetrics.cc.func-c.html         |  160 ---
 html/bayesnet/utils/BayesMetrics.cc.func.html |  160 ---
 .../utils/BayesMetrics.cc.gcov.frameset.html  |   19 -
 html/bayesnet/utils/BayesMetrics.cc.gcov.html |  245 ----
 .../utils/BayesMetrics.cc.gcov.overview.html  |   61 -
 html/bayesnet/utils/BayesMetrics.cc.gcov.png  |  Bin 965 -> 0 bytes
 .../bayesnet/utils/BayesMetrics.h.func-c.html |  118 --
 html/bayesnet/utils/BayesMetrics.h.func.html  |  118 --
 .../utils/BayesMetrics.h.gcov.frameset.html   |   19 -
 html/bayesnet/utils/BayesMetrics.h.gcov.html  |  138 ---
 .../utils/BayesMetrics.h.gcov.overview.html   |   34 -
 html/bayesnet/utils/BayesMetrics.h.gcov.png   |  Bin 417 -> 0 bytes
 html/bayesnet/utils/Mst.cc.func-c.html        |  153 ---
 html/bayesnet/utils/Mst.cc.func.html          |  153 ---
 html/bayesnet/utils/Mst.cc.gcov.frameset.html |   19 -
 html/bayesnet/utils/Mst.cc.gcov.html          |  204 ----
 html/bayesnet/utils/Mst.cc.gcov.overview.html |   50 -
 html/bayesnet/utils/Mst.cc.gcov.png           |  Bin 733 -> 0 bytes
 html/bayesnet/utils/Mst.h.func-c.html         |   90 --
 html/bayesnet/utils/Mst.h.func.html           |   90 --
 html/bayesnet/utils/Mst.h.gcov.frameset.html  |   19 -
 html/bayesnet/utils/Mst.h.gcov.html           |  122 --
 html/bayesnet/utils/Mst.h.gcov.overview.html  |   30 -
 html/bayesnet/utils/Mst.h.gcov.png            |  Bin 316 -> 0 bytes
 .../utils/bayesnetUtils.cc.func-c.html        |  111 --
 .../bayesnet/utils/bayesnetUtils.cc.func.html |  111 --
 .../utils/bayesnetUtils.cc.gcov.frameset.html |   19 -
 .../bayesnet/utils/bayesnetUtils.cc.gcov.html |  128 --
 .../utils/bayesnetUtils.cc.gcov.overview.html |   31 -
 html/bayesnet/utils/bayesnetUtils.cc.gcov.png |  Bin 373 -> 0 bytes
 html/bayesnet/utils/index-detail-sort-f.html  |  162 ---
 html/bayesnet/utils/index-detail-sort-l.html  |  162 ---
 html/bayesnet/utils/index-detail.html         |  162 ---
 html/bayesnet/utils/index-sort-f.html         |  162 ---
 html/bayesnet/utils/index-sort-l.html         |  162 ---
 html/bayesnet/utils/index.html                |  162 ---
 html/cmd_line                                 |    1 -
 html/emerald.png                              |  Bin 141 -> 0 bytes
 html/gcov.css                                 | 1073 -----------------
 html/glass.png                                |  Bin 167 -> 0 bytes
 html/index-sort-f.html                        |  174 ---
 html/index-sort-l.html                        |  174 ---
 html/index.html                               |  174 ---
 html/ruby.png                                 |  Bin 141 -> 0 bytes
 html/snow.png                                 |  Bin 141 -> 0 bytes
 html/updown.png                               |  Bin 117 -> 0 bytes
 315 files changed, 13 insertions(+), 28605 deletions(-)
 delete mode 100644 docs/coverage.pdf
 delete mode 100644 html/amber.png
 delete mode 100644 html/bayesnet/BaseClassifier.h.func-c.html
 delete mode 100644 html/bayesnet/BaseClassifier.h.func.html
 delete mode 100644 html/bayesnet/BaseClassifier.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/BaseClassifier.h.gcov.html
 delete mode 100644 html/bayesnet/BaseClassifier.h.gcov.overview.html
 delete mode 100644 html/bayesnet/BaseClassifier.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/Classifier.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/Classifier.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.h.func.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/Classifier.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/KDB.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/KDB.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/KDB.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/KDB.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/KDB.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/KDB.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/KDB.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/KDB.h.func.html
 delete mode 100644 html/bayesnet/classifiers/KDB.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/KDB.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/KDB.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/KDB.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/KDBLd.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/KDBLd.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.h.func.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/KDBLd.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/Proposal.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/Proposal.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/Proposal.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/Proposal.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/Proposal.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/Proposal.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/SPODE.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/SPODE.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.h.func.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/SPODE.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/SPODELd.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/SPODELd.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.h.func.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/SPODELd.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/SPnDE.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/SPnDE.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.h.func.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/SPnDE.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/TAN.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/TAN.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/TAN.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/TAN.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/TAN.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/TAN.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/TAN.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/TAN.h.func.html
 delete mode 100644 html/bayesnet/classifiers/TAN.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/TAN.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/TAN.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/TAN.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/TANLd.cc.func-c.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.cc.func.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.cc.gcov.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.cc.gcov.png
 delete mode 100644 html/bayesnet/classifiers/TANLd.h.func-c.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.h.func.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.h.gcov.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.h.gcov.overview.html
 delete mode 100644 html/bayesnet/classifiers/TANLd.h.gcov.png
 delete mode 100644 html/bayesnet/classifiers/index-detail-sort-f.html
 delete mode 100644 html/bayesnet/classifiers/index-detail-sort-l.html
 delete mode 100644 html/bayesnet/classifiers/index-detail.html
 delete mode 100644 html/bayesnet/classifiers/index-sort-f.html
 delete mode 100644 html/bayesnet/classifiers/index-sort-l.html
 delete mode 100644 html/bayesnet/classifiers/index.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.cc.func-c.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.cc.func.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.cc.gcov.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.cc.gcov.png
 delete mode 100644 html/bayesnet/ensembles/A2DE.h.func-c.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.h.func.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.h.gcov.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.h.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/A2DE.h.gcov.png
 delete mode 100644 html/bayesnet/ensembles/AODE.cc.func-c.html
 delete mode 100644 html/bayesnet/ensembles/AODE.cc.func.html
 delete mode 100644 html/bayesnet/ensembles/AODE.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/AODE.cc.gcov.html
 delete mode 100644 html/bayesnet/ensembles/AODE.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/AODE.cc.gcov.png
 delete mode 100644 html/bayesnet/ensembles/AODE.h.func-c.html
 delete mode 100644 html/bayesnet/ensembles/AODE.h.func.html
 delete mode 100644 html/bayesnet/ensembles/AODE.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/AODE.h.gcov.html
 delete mode 100644 html/bayesnet/ensembles/AODE.h.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/AODE.h.gcov.png
 delete mode 100644 html/bayesnet/ensembles/AODELd.cc.func-c.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.cc.func.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.cc.gcov.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.cc.gcov.png
 delete mode 100644 html/bayesnet/ensembles/AODELd.h.func-c.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.h.func.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.h.gcov.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.h.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/AODELd.h.gcov.png
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.cc.func-c.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.cc.func.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.cc.gcov.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.cc.gcov.png
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.h.func-c.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.h.func.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.h.gcov.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.h.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/BoostAODE.h.gcov.png
 delete mode 100644 html/bayesnet/ensembles/Ensemble.cc.func-c.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.cc.func.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.cc.gcov.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.cc.gcov.png
 delete mode 100644 html/bayesnet/ensembles/Ensemble.h.func-c.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.h.func.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.h.gcov.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.h.gcov.overview.html
 delete mode 100644 html/bayesnet/ensembles/Ensemble.h.gcov.png
 delete mode 100644 html/bayesnet/ensembles/index-detail-sort-f.html
 delete mode 100644 html/bayesnet/ensembles/index-detail-sort-l.html
 delete mode 100644 html/bayesnet/ensembles/index-detail.html
 delete mode 100644 html/bayesnet/ensembles/index-sort-f.html
 delete mode 100644 html/bayesnet/ensembles/index-sort-l.html
 delete mode 100644 html/bayesnet/ensembles/index.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.cc.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.cc.func.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.cc.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.cc.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/CFS.h.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.h.func.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.h.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.h.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/CFS.h.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/FCBF.cc.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.cc.func.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.cc.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.cc.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/FCBF.h.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.h.func.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.h.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.h.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/FCBF.h.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.cc.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.cc.func.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.cc.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.cc.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.h.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.h.func.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.h.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.h.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/FeatureSelect.h.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/IWSS.cc.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.cc.func.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.cc.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.cc.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/IWSS.h.func-c.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.h.func.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.h.gcov.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.h.gcov.overview.html
 delete mode 100644 html/bayesnet/feature_selection/IWSS.h.gcov.png
 delete mode 100644 html/bayesnet/feature_selection/index-detail-sort-f.html
 delete mode 100644 html/bayesnet/feature_selection/index-detail-sort-l.html
 delete mode 100644 html/bayesnet/feature_selection/index-detail.html
 delete mode 100644 html/bayesnet/feature_selection/index-sort-f.html
 delete mode 100644 html/bayesnet/feature_selection/index-sort-l.html
 delete mode 100644 html/bayesnet/feature_selection/index.html
 delete mode 100644 html/bayesnet/index-detail-sort-f.html
 delete mode 100644 html/bayesnet/index-detail-sort-l.html
 delete mode 100644 html/bayesnet/index-detail.html
 delete mode 100644 html/bayesnet/index-sort-f.html
 delete mode 100644 html/bayesnet/index-sort-l.html
 delete mode 100644 html/bayesnet/index.html
 delete mode 100644 html/bayesnet/network/Network.cc.func-c.html
 delete mode 100644 html/bayesnet/network/Network.cc.func.html
 delete mode 100644 html/bayesnet/network/Network.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/network/Network.cc.gcov.html
 delete mode 100644 html/bayesnet/network/Network.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/network/Network.cc.gcov.png
 delete mode 100644 html/bayesnet/network/Network.h.func-c.html
 delete mode 100644 html/bayesnet/network/Network.h.func.html
 delete mode 100644 html/bayesnet/network/Network.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/network/Network.h.gcov.html
 delete mode 100644 html/bayesnet/network/Network.h.gcov.overview.html
 delete mode 100644 html/bayesnet/network/Network.h.gcov.png
 delete mode 100644 html/bayesnet/network/Node.cc.func-c.html
 delete mode 100644 html/bayesnet/network/Node.cc.func.html
 delete mode 100644 html/bayesnet/network/Node.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/network/Node.cc.gcov.html
 delete mode 100644 html/bayesnet/network/Node.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/network/Node.cc.gcov.png
 delete mode 100644 html/bayesnet/network/index-detail-sort-f.html
 delete mode 100644 html/bayesnet/network/index-detail-sort-l.html
 delete mode 100644 html/bayesnet/network/index-detail.html
 delete mode 100644 html/bayesnet/network/index-sort-f.html
 delete mode 100644 html/bayesnet/network/index-sort-l.html
 delete mode 100644 html/bayesnet/network/index.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.cc.func-c.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.cc.func.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.cc.gcov.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.cc.gcov.png
 delete mode 100644 html/bayesnet/utils/BayesMetrics.h.func-c.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.h.func.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.h.gcov.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.h.gcov.overview.html
 delete mode 100644 html/bayesnet/utils/BayesMetrics.h.gcov.png
 delete mode 100644 html/bayesnet/utils/Mst.cc.func-c.html
 delete mode 100644 html/bayesnet/utils/Mst.cc.func.html
 delete mode 100644 html/bayesnet/utils/Mst.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/utils/Mst.cc.gcov.html
 delete mode 100644 html/bayesnet/utils/Mst.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/utils/Mst.cc.gcov.png
 delete mode 100644 html/bayesnet/utils/Mst.h.func-c.html
 delete mode 100644 html/bayesnet/utils/Mst.h.func.html
 delete mode 100644 html/bayesnet/utils/Mst.h.gcov.frameset.html
 delete mode 100644 html/bayesnet/utils/Mst.h.gcov.html
 delete mode 100644 html/bayesnet/utils/Mst.h.gcov.overview.html
 delete mode 100644 html/bayesnet/utils/Mst.h.gcov.png
 delete mode 100644 html/bayesnet/utils/bayesnetUtils.cc.func-c.html
 delete mode 100644 html/bayesnet/utils/bayesnetUtils.cc.func.html
 delete mode 100644 html/bayesnet/utils/bayesnetUtils.cc.gcov.frameset.html
 delete mode 100644 html/bayesnet/utils/bayesnetUtils.cc.gcov.html
 delete mode 100644 html/bayesnet/utils/bayesnetUtils.cc.gcov.overview.html
 delete mode 100644 html/bayesnet/utils/bayesnetUtils.cc.gcov.png
 delete mode 100644 html/bayesnet/utils/index-detail-sort-f.html
 delete mode 100644 html/bayesnet/utils/index-detail-sort-l.html
 delete mode 100644 html/bayesnet/utils/index-detail.html
 delete mode 100644 html/bayesnet/utils/index-sort-f.html
 delete mode 100644 html/bayesnet/utils/index-sort-l.html
 delete mode 100644 html/bayesnet/utils/index.html
 delete mode 100644 html/cmd_line
 delete mode 100644 html/emerald.png
 delete mode 100644 html/gcov.css
 delete mode 100644 html/glass.png
 delete mode 100644 html/index-sort-f.html
 delete mode 100644 html/index-sort-l.html
 delete mode 100644 html/index.html
 delete mode 100644 html/ruby.png
 delete mode 100644 html/snow.png
 delete mode 100644 html/updown.png

diff --git a/Makefile b/Makefile
index 6d8a7aa..cb02f3a 100644
--- a/Makefile
+++ b/Makefile
@@ -133,8 +133,13 @@ coverage: ## Run tests and generate coverage report (build/index.html)
 	@echo ">>> Done";	
 
 viewcoverage: ## View the html coverage report
-	@which $(genhtml) || (echo ">>> Please install lcov (genhtml not found)"; exit 1)
-	@$(genhtml) $(f_debug)/tests/coverage.info --demangle-cpp --output-directory html --title "BayesNet Coverage Report" -s -k -f --legend >/dev/null 2>&1;
+	@which $(genhtml) >/dev/null || (echo ">>> Please install lcov (genhtml not found)"; exit 1)
+	@if [ ! -d $(docsrcdir)/coverage ]; then mkdir -p $(docsrcdir)/coverage; fi
+	@if [ ! -f $(f_debug)/tests/coverage.info ]; then \
+		echo ">>> No coverage.info file found. Run make coverage first!"; \
+		exit 1; \
+	fi
+	@$(genhtml) $(f_debug)/tests/coverage.info --demangle-cpp --output-directory $(docsrcdir)/coverage --title "BayesNet Coverage Report" -s -k -f --legend >/dev/null 2>&1;
 	@xdg-open html/index.html || open html/index.html 2>/dev/null
 	@echo ">>> Done";
 
@@ -151,6 +156,7 @@ updatebadge: ## Update the coverage badge in README.md
 doc: ## Generate documentation
 	@echo ">>> Generating documentation..."
 	@cmake --build $(f_release) -t doxygen
+	@cp -rp diagrams $(docsrcdir)
 	@echo ">>> Done";
 
 docdir = ""
diff --git a/README.md b/README.md
index 67d8213..1b47306 100644
--- a/README.md
+++ b/README.md
@@ -89,7 +89,7 @@ make sample fname=tests/data/glass.arff
 
 ### [Manual](https://rmontanana.github.io/bayesnet/)
 
-### [Coverage report](docs/coverage.pdf)
+### [Coverage report](https://rmontanana.github.io/bayesnet/coverage/index.html)
 
 ## Diagrams
 
diff --git a/docs/Doxyfile.in b/docs/Doxyfile.in
index 95acb53..afb2526 100644
--- a/docs/Doxyfile.in
+++ b/docs/Doxyfile.in
@@ -950,6 +950,7 @@ WARN_LOGFILE           =
 # Note: If this tag is empty the current directory is searched.
 
 INPUT                  = /Users/rmontanana/Code/BayesNet/bayesnet
+INPUT                  += /Users/rmontanana/Code/BayesNet/README.md
 
 # This tag can be used to specify the character encoding of the source files
 # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
@@ -1174,7 +1175,7 @@ FILTER_SOURCE_PATTERNS =
 # (index.html). This can be useful if you have a project on for instance GitHub
 # and want to reuse the introduction page also for the doxygen output.
 
-USE_MDFILE_AS_MAINPAGE =
+USE_MDFILE_AS_MAINPAGE = README.md
 
 # The Fortran standard specifies that for fixed formatted Fortran code all
 # characters from position 72 are to be considered as comment. A common
@@ -1424,7 +1425,8 @@ HTML_EXTRA_STYLESHEET  =
 # files will be copied as-is; there are no commands or markers available.
 # This tag requires that the tag GENERATE_HTML is set to YES.
 
-HTML_EXTRA_FILES       =
+HTML_EXTRA_FILES       = /Users/rmontanana/Code/BayesNet/diagrams
+HTML_EXTRA_FILES       += /Users/rmontanana/Code/BayesNet/logo.png
 
 # The HTML_COLORSTYLE tag can be used to specify if the generated HTML output
 # should be rendered with a dark or light theme.
diff --git a/docs/coverage.pdf b/docs/coverage.pdf
deleted file mode 100644
index 3d4b011b997af8efd7f0de9f86c01b278327c2db..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 22170
zcma%jV~{9Ol5X3!ZQHtS+qP}nwvF5F+qP}nw(Wj*W;Wj2jh&cy|IW$C%JWs8s>=K_
ztBO=!Sd^BLjvb2hHZQdpij{zYz|PPTiid|@)WX`?#F2nr)Y`z=MA*d0&e()r+Qin(
z*_?oxiII(u56a2e(Zs+8%6)xE+a`{f6Y)D&FM;2Gg<i!sVOG5Nl9p?CSARDi0iP*j
z3Nixp>Mo#1u5Dw>wKS)(@<4};Jx#jw{H(%p>7c&DYf)kT!YuOp<QL>kP=h^>AD1_u
z_@4c%>o)_=x3~Pr>-*WrKt~eN{p*1r+#~OoSsw&>$-^~9Hd<NWll$k{!Cu%vPqQ#x
z*v;9Khwq$%i2w#|%)D4-j({@UmjbeYJmD!M2Nskuapr3rpL<a>GxW#$+&T%lm4qfZ
z%Djb*4LmjWKjzeD)B(B@Bs-nxzXIW|Pg!9rq0G;RHG>IQF|j&VLWlL#LzXu}hOCWK
z`;B{2H05WDA4`xd4NMr4l~q2ztb2s-349?^k?aiku`@~-HsVx4W{0z`pPdpkpi(~P
zpn_plKW4f8*5m&%rA+2Jk;7(^DoEt-x;i0hK!HkS*`*||B7?*Pafg(}or5NBV(ujw
zW2+_W8xzL8eDo<Oj;G0Yqer1K!X1&tGwg7tlgunZp<`9f55kM7|A;mXsz<TxbJcY}
zt8x@0jfjh`Gu{{gv=chAkX{aQ2122LEI}&-08rd8<H1fYVaT!#aPJ!s1c!jYZQ|yp
zH8XTPv}(&u0dk1>6?5xe!yZtNVtTErC|)cI%WVq%uOlp!fh0R_)6gI_3m3d(P6F#u
zA~C@YF^k~wB=1)YZj{&H*2pvn2NWkD&u18zPHm&sMrlIEe2Wy+r4nnD9Z8_d%!@0Y
z*;&K>x==7=8oH#A#dRbvW>Qhz$+JM|_RRMoqZj85st#Qev?TP48k+2{fBLU;lEVI~
zl*xN@nrCRgY|Mz5QYQ1jJ9tTgouJ8d7n&4CKzO-#!`92x4?lz~OV@nRni4mlSn}kh
zFtw>(nLT(T|1~rGph3AZ^8MQIcQa6PXSgzS@fq?UClmhMd8>{ew)1<e{)LJ)^CE-C
z_D}7h{Heot|1a&oK*t^&l==h+x@>uN!2X`!!JA+u^9(!Tzn1X)zvj!?|0$&6$#dcQ
zD`XJs{=4RX2`zbc*#Bz<^q}R8ldQkj0O-s@ctpN8z~%5mOuS7ZYA$`#`@Q!+E{Xn!
z5Jj_GJ0Vj_W%q9R^T`LBzt~u3(7Aj(x?$6a_4eKb%b90d{vx2_+2Q=BU8tF~pyjla
zjepwJlF$>!m2SCuV;dyvgBnAZ^m#eX^5?uq4V~f2VgJ|A^Y75@=pRxm+ZigKmcuN2
z%zaeDztWe3f9k5<WHD>&$9jj%N6npgAn$-oCeXiaViW*_RChdG{R1(pBz@!i^VL7V
zVO5%yO#68K1H9;^M!D0@cIe+7v-es)+h}P4bUL(p%uV5X`IqXzfB9JSeklLxYU3Y}
zncu|uZz!l)b&9KZ0C{*AYj@LBkI4EmCGPeD?>qxDI8f|y=Q>iG^z9F=T*26{!me5x
zK!b?&>W~#=FWR<T*$nItsa-W8%VqY=_I0+<+A?{EWuF?kZDlZU-U?NmgmsoBDySSo
z78{$*-T3S0!<Wf8HQQn*>Gj|&JryG!gHsfdq7@yKtH`^3-kjZE2H1PPZa>nBnio@N
z`Q5zRaK4|ND4&ibLSAi0+=}u-TLdUXB}qrz2$UBeuTMwPMnqX*4jcyW+yLG=P1fGr
zlNpK8j+pPx7Ixz3cks4*246Rdh-_nCX07=7#96`2ALVe<fCh-wsQ8OZ_7mKGX7@mh
zTYSFU$)1Pf&_$YL?8yD*?9wJAaPxk)5G3(q$B~byi#<q1Z{M<dx_=%X5)#dzbRKue
z`EMmA#`sacBz;F(vk&g>yo%GyTGq@cLtP0?;|qQzF_v0qj}fdlVQ573!%%jZsPa4^
z=q81pDQ5G*B5T(}Dxr)w5Sna%(j+3;@@?R6^Z#6%pn`M>>yh`lH)Ha#K_p8Y4kGaZ
zVZ9uJG4QrC`D@nzW}}79a|E;c`{D}ml`K~kGf2m=n_Jo)6uF*@!jKb#*<G5C77aAJ
z$i@^kxKE$3Qu)Z9ITNoNo$I7z_jMep;=0u)5T<}O*<6!`XqY&aA{_A$<+>0&Q5_=w
z%2|LXq+ps)OqjocsE_$_^mH^IuoU^FNZ6HiQC08j8)#-@vv@nUAHy&YB?p5eV!)Eg
zkv%!`ER8M7Rl-Ns@5AxIb}7#R*MEC0x{vSsGIV007+!!8PUCYkZ`Oc|m5(_JdZJ*L
zSuC`#mU4`h#w1G~TWyLnm3x{4zfzDlGFzM%))32q#FGgo7n(0>B}a|-AP8o^zEssU
z-=1O9D4MWHJ}W3*gpPp%`YJp3K8Y-3u0tAaa*Xg>3=6U&9kB7%3C<{?5}CC4GyZq_
zuFIvq&7q~tAOIdqHEbv9HrM$?tnx6Qo4VzFO2HDv`l93-rX@3gLu3wj!J30-Pw~rw
zI>nt+g4H7CLZPBY$v&{knm(%8&MQrrZdkA?z;s{{yyU_@d*%#~1)6O{LLW>sCW&Ms
z<I8WFyMsDP^~`$Fi5P!Cg~mn*sS8rni(B<~mCkFsS^HW|6Rkop+u`-;s>Mkd&<{^y
z^^=4#)xJVBRWD+5KBu~@>c<7>0I`p=f&g~oE=O_ZlNhjW1oy|_3;yQXe35tuDE7NP
zx;Q~%pI}g0umUr~?8JKYQfa5@O`e=TXOjR;b)tYCM+RI%Ls#v)X)ZhFVla4={T!UE
zE-jrs=SPvM4F)bP6msOJQoW<Fu3VKwJG)$DE^~}zOq_rtznmbTwWl9Fml{o9%)CJ#
zj_J4ky^BiDvzXF`YxD2lB!;G1t(^%v4uq}n3jqv?Hlvkv9-~Ia%+Et|euEuB08hbQ
zJ;iX)V)<VT>28*0<8M(VD1KNCEL+0kK!7gdltcAT9pPcs%PXP?UUk0E#9l<ac@*fN
zX_*<WU@)+#^B522bU(!5!`=8Mgo?}Z?)$+9R53HMHx{dmmj*dDBET(o4Bh$ReWQ>U
zcj(x#0)n|?8Vvt_?nt}o{+bFaObZ_ObkT)Lt;z6SLv+SKq$bfo?)a5pM=*5(IVR)<
z=oO0%X-1ODLO!mRUsG%o6}IZq9ntRG)NR?>U^|+@^$Ckl9i&54(=3CcZ3U+3p_Pe~
z)~swYH`ucvaQEDG*{mN@kSoervxUMJun0foRbaRJCE%-tOn)aYJM{T1nXXUB_nsQZ
zpS+_gf&t+v7n&6GZUA1+Smz&bf3y$)7K&zfhh*aMNeEuvR#Xr}Sjla^@Jv8*Vtvkb
zqBF7hwp!^ZDrTj+&qiGeuuXB=v|B{l#nO8*)&~n*zY7a&o>*`*V`rzS*MD}kKR^oN
z4LdwBfvv0kSGyX-SsQWA<KT$?_FL3pd+nR5S<1W#@nTi)pjwLA7Pa#jH+|?aBUe>j
zfF^koH+IdjIKw0wnQ9gWYGZm3l%S?nR1{2}l^^Qu>nMEjaaJ3b9$JA@G3Y!HjxBiv
zpHgg*P1n3QrB}C`l8#~ZQG={&qF9N3$z2X`cAuC|>qb?QaJ5PKU^tsinA2dwpXRkm
z^2t*FI*rOY?fmcU)}gZ=;@hQBAr&5y*r8LA6?;jsBxB}1^t(-&+V^#c?rvML#5RqI
z9^tx>l_Hj3xgwQIzPeoK)vpN*qwzMfvwu|N)Pkc-5BBIT3<rjVm>QsSNMs?UzfnAs
z&KYjR`8Y4aZF%AVn+Jt`ez@0mRsijCLTIs;Y=j+VG*B-lOgr4o9iW|?=P^_AWwBRC
zs#B6ZZyeF?VHU`+z`4|9)!7&xzKO%BdrZiMe>yI;e2Jhc+Qy4UDLhSYAOC|Ij$g6F
zwKZ=*5$XB{V|?deD8hmpnQwXJRJHOf`$g?6WLHhAR1fqpAjPvLk$RFh<_T%PMp1!u
zE1R;ycp*bxXRws2{1wrY=I{VFg)80t0!t+Vj>wm#g6CU4Lp|EfJs<#leDDO)x;59W
zD52S0SQ`?fhtUruP=}o1f&q@rdP+~@+Db-GZ9qP+Tb44-M#zBfZn-V`4BQs|7|2i+
z>vt`8NZZk9ZvUp^@ba~I2DH<a7$N@_?+FX7hJ`ZfX6vgeg!f*@$*FcYP&Fv0?xy$m
z)1U30A1M!dK@a%;B_HVp9s2m|(11rBn%yNGP;b#lza7rGY#}jKq9(9GY0-(Z<%#`Q
zTT{(!Q(}xaw#hz)qP%39>w!tN)O$J|4^+$1^W=zuE3S<Co;=+j;9Aa1WGE9`<Nu;2
ze@FjdGfWKskJkK)!Y~prGjOu~Cyv9&!N~gGIZl(RhP3ty=J!mSo2oVZBn&VNSf~aj
zGxX%RDK=QB0kjb?*b3uB`j%-%W?!GI4!7%~_;u>CMC3e)Y6VLjN{LTdCc0Qfds%&z
zxGI&1rP5MDVp_NIlh6y)@0~7~sJg9T_^zI5-i;oglb@L{dPbskp)`s7V_~gM9fa4O
zh<o3VrEcRMeg-qnCpyH7UT<q}z7#ZH>TW@jL!<9`XG_W$yn{~o*~-$BX*mtc_ZQ>{
z@(2_a=A`n7@udym)ei((rXbKI*rAJAazop^jG3y{M{m@JEOTb3sDtu(N9IRJJA<FE
zw?)a!P|C<Is!3Yt@;8YYwf!D~c^<jJsD&u0j7t}&-fydUJ_+?!2K$Hatw;r(1w9GU
zPekg+unGKcfpdQBw=>1(1#7;Zp&!6b$^FJV0olizAH4oN{T~}&Xh-~o>67594-gSY
zrf64wBL04U0#Ik|gOP@pa;@|7s2F(xF5cYI<3hnjdxsWhq73O;_Pwt*So}fAXP4T|
z_~+J?orHvlS=M?=!n|!{J{nQccYYr4z|3#*xWq}V13A2z883%^y+vDm4`c1TBrz<f
zn_--Tt{;^e<j$`(Ig>T~MBQsW(!5SFMY=IWwApBP<~DQ({_tnw1<*}YXpiy~PYQ{k
z<U)ze-z+&LFgX*ZN9tFbxFgs5$F|Q8BXh*}XJfftaso2&3USgid;*nm#c=`}%cH3R
z{5v9k$4mKmvrwm`oHH@bX>aPK&bf2uCFAC%#@$|fK(3kfeg`|d_)47JD5_>0&f*YY
z(jru)3#MBm&@sRD36N-&sWdLfA53D%>Bu%jzhIYT?H1&9EUZd9c69g(bh^A>+m80^
zBi;h*8ZBsW`8)@c{Vd`%>Z!YYBRYaUFjzoB^2a~B(&)b@CU2^~4hvBX#@=bwS8O&;
zYW2)FM|1+jNpRMkgNFWe?&5yCo{y`{EbQP|VpQ_49!f218Lp@0;ksW~iS>B-p5~w@
zroF3`8jjtLzPT4l)yL8tvm4-MKx}{|DWXOT7lsmO@je<tnrTl`PyI|)UaY+3JatEI
z*N+FMe3{b{y&VPU(QXQb91>8~bFt%6Lx~0j(poA}71`6bU+w<UfsEs2+eEOOi~8uv
z){u`d*&4r(7pkt;lKf&TT4r6G^E{Gn7}@T2r8jutQ(AE9y>9TR+yJixC)G1Z_<}^6
zz-uH27cAd|8{D}FC7!NnbH7qj{ljT~H&m5NHDXZ7TJC~>bK1_elus{yf;u?E@@g3g
zrTQ3>WsY`RO<Pc*V=f3#7juf>2O(#Z^9v=p@ZdemB1V0=q;5&|v>Cx=xF*;3Sp!t8
z`fkL^5>kc3qjB<R2cXGd1wy)Hp7J`nX5Lf@tA!B~5T_VKX=tzxbw$anLyqt33!9YY
zw9@uZIiK&Rx?3&F{<685+z7o43tS`2GzBY^+^D%G4UO@YLDtN=GU?uCR3?$g)Gq_f
zQfli&8Q}mV0Gp2e);MfeLAI~UUBs}5bpF+PHRV&`xlJ_ZruM74B$vIQA&7J4_v;10
zke>Qp-8%eN+!xrlv=}l!fzp?YswVKzeMRp|+$$@5*jRl1f$ti?kzoa8wUg;WnC>H~
zjBa8u_>%YazPZ{iqi!b_8<|Ob$CWg-Rx03BZyWpKl7qIp_6DW9Ke-ip5mRjKMcc7_
zBar)!v@XBg7~8^?L-Ui5<!LX#%+YHrm9f>G<f(TgDn*>+S}Sy79SICkK&#hXg`lh(
zc=hKvuc6<4wFXq9D-EYx)@pH9<?Zy^Cg_i7y4Nq^F3*oPavCzFG*Tq<B&<+VfcJPy
zETh(|qTtSiHn}h@QC?d>hGuv5NMQMlzq~$Cjl-SE_T(4!xhD%GOpsj<Kd+8;O>|be
z>yGF4t%g?4gAIe`45%V4iXsvnf1lgao6KMQEFNJ(v7CqS<P@Vn1+m*-EKjkc9@~C9
zUPO^iqhuOhxoxZe;I`EGnVQqmS}-zPtn+$Ps=S)!uZLru^@!E*&#Mc*``S*93AZ>I
z0q$ISwbhA(r*pEa&H`9X#H1V=SC$D!mC2qc1ehvBn97II+}457`p*HVlFhvYQU{q9
z5btUiFR0_Dd1#qqeno2!q%!<TbTQ6%iohC$&kQw<Fv^fEh>Q(#!mEVlj8QU&#-KH@
zfqP;Az6MnuwK&ZJ$?0?FIoZK6M`M10^Lr<3064=ibz%ufk-aQ-%m!4iD$s;dBqo)2
zNOEVlm9QK4Y$<jd=d&KT$Dj_nRTAW<Hmc*%Un0sIMsZIwv0-NFj`mhO={+doYDCaP
z@eMBEj&^eN`-QK-+91AiX?5>6M(leYzLzH?hW&HfhL1B&OddWqXW&?jxfF!a6oApB
z1ir09AnJ4LKgWnrM2JvCACP~;U+xOV^>0Eg<Npq|tc=Y6G1M}%Ffjf1P@95bA&;Z-
z-nHUnPtwbP&H!TiJ0plQ<BYTI4*=w-3=p6MM1Z|eKLQXZtLZ^z>l{tEMiP@%BJIR{
z7foE(_>zj+-8flIQ)*>X)4Av8?7F&chg8GP#Tj9`iq+L0-5%dRJvUxEPu;$H#L)<v
zL2$%iDXMBUe+=oE(-0MP{nrXY(OTRFXCDv*Tfv4mJjJ}ojN6#d1*74I>8~#{vi<o$
zZ)XJXTbzu4_jG<tpaql604}6~zk9l3wDdS;?h8W0^agw9^1yzQFic}&#9Ut4hF^r-
zea*^7N54Ez?zq1I%??;SZko?*L$ZVi-cCaqeW}lw=N*Zku?R+X7+mK>+>MRica1_{
z+?3uRE`=~u|9mSLEi51Q%Ozxc<S}_Z+@`#k|GZp_ks)fz8oZC8`%?>nh|uRJalEk$
z{3&uCeT2?d)$8h)riUW1h~96P5)2)+JJWK+wg_{uX&l)am8up)ItUl0A`Gq=t|F_l
zH7^rA5qNh}z$D?mb;$2X>n0Yhr!Xf2)ZJo)>hoODA@E>(PlZk^qUnSS0j&w40M`U$
zX;?*><(XAC=c-#7x$QY4I+;at1UO1^n?*CQM*1i*?+HAKi^V)~d2k}~1ywA#aZjK#
zM)nNMHU`rKc7!^}FpuLcGZk@zuR!14iZ~yu^{0=%Ybe9}LFT-pPe9vVLYhsr5Q7A|
zW;dr>&kfgA?!$%d0^x=0ig}0PI8A_Tljo}tRv{3>ty+oJRDeGh;wCH<n+3@fWj@`!
zuiw={9?cFL|1)rf>M$~UO>up{@q^Cu#5(t;QxkcS4_JIHL_YU*%33uH>W;x5oJT-e
zoN?I&hezT^n3pt@0Rj*N;Q=5+GzqZz9CHiPD~425jJfOT4-Vpvvg<-g`~=)6byD1u
z&`tWKm<nI(#M(POq5F;F`dmqYNJ>m=n1Fj9s8*ypre3sm11-)NRU+CH`S9*DukxVj
za2;2jmBpRO&YFnE#}p!W`=L$8?yH%7=@01PVrg#f>1l3GWk4x_)?xZ`mE}Xjwj?LU
zLT_B4W)HV5P(*ynUe-{1nX;yl4o~kFxc#g27Z=JSXlpuvfgRk%Q$6Q4Rod90qdE;s
zvtuehvF5#5BU%ZtREl(RvZ90v)-?9*$7Gd)Xk+eNP1f^qj0;}w(ac6aVHhz=^IrED
z^p&4GgJZ#0dEWFj@M=%qxC%f^L%hr~fw4Ynw}3oZ(gf`<xI7*G+Qs<A&OQ8(yR~T5
zE*dWxj}s#S126?={TUYlgIn+@31^kIl5~FpW#8R=HU!+B=RE<B)QwCnJG*J!9SzMT
zbZ56@=e^xs;(~ReWn1P3Ual1`Tc=w6kLFJq$8l^HWk9=*{5)-3lMyUh-<Yzz43n>0
zlyF)q^SCtbaW)qe+;zmY{qqL)6q6-Ykieshg{@yTY(?YEmA;o`h8wH7{UnX5=r5tP
zVNDi<bku6N5-nz#S5<}t6YGG_D*mRfwIV=@#Kwk8RXe*Q*?|rIF+nscQN+(O{D*pd
zdk0y31Td+Cm5H%D9PI4u;d=X0rj18??kO5iG)<M@ED}Jv8Vuo@pxI4-6QTC`eAA-<
z0N3Ov^i2n^vK3=2dllupNg8F;^V@`@CMam%>5ghHN9B@EjdJMYI1<Sx_rqIAQMmg0
zUOh27U_bD|hCk_m%;rm`mM9t7(ArTX4J>HrOihwS21+?H;9QG@CG+KHr*%wBDmDf$
zs|gXXUKI=u!S_61cBYx&9Z@fEEv=Yi(aKoo)MgLQ(ZaUn9NVhO=hWIKlFZ4gWwBg@
zNN9Ue5ggY3Wy1&Vuzs-w-&EzijV=~=g*oFHqBQ_Dpl@o{gfm3vDX*}ZAr#A4<^Gy|
zP0}>kQ)p4rp$(C4sn!sgD;rX-Hk)3>jM-`mT<ZGw{+K?wZTbW#^BoH-?e}A-PCC98
zQL;yWrm4+mE^by^Ntr9FS+vdYm>bB_h=wc-ro6+3vdor_uo4e5z1u4v1A_}m>!>2y
zjw$*s6bLQMvp^t+PMMP$(<xPA%P5yFsJV-NA9`3y7Lha4!spRtMr0}yLEp5Rj`uU^
z8Kg2#$!9_{L1_4M5I~!kv;XmsyK~_rTs~MCI_%BU9Yccoa!oY2m4q^eEYf$dv~SXP
zSk9Lh9SG178w?H*B9{yK;(QxMZul(4Pjd<}iRnrS(1+EqzNEH{NgH>f65=&7PVieX
zotkQMyZQ44R|(#k2k*K8<b_%YFam?D4E-EwLR!6PJ-oBCxwL$>I@#9IZ$wUgaU%9P
zfEU*kVcqVrat&OuC^Wt}9c4t!f3|G#Ldo2Rru+>q@a^7?PY7LG6^NxL8xl%>-z(Ll
z`MEJTG~EE)C1YZ@n;?b<EOC>Oi+8d`fGU3=2Vyx`2NkrQf4q1(^6<*?lUJ!Ww*Ng6
zQYE&+0k0k*xXeu9&$!9y=o{eYW&n7BRvYJssO*bh8nG(b8>)mOhPb4K#*p2cipPg=
z-~zf$ML|Dl$)Y(9=Y-JFdpCabc0wvF8Os|09M3RXO_FqR@|p+y2EKiTw@G8k1CEne
z_EPknIF>>)07Oh%8T$^oA&bk7T9<a?mv6C$nO53t&8vZfb!WY+_<G_%^@Di&T)Z-{
z_KS#v6_Ncm33~k(no@(i^B!fPSL7ltkGRn`Sho@a`Rg=}jzXWNsvs{$XR3Az(_Diu
zziW&PY*kY2QwnzT)U>UOX0?lHoKb55neoy|3i8SF)#s*YSW~r+Q&g}-gH}@{pAFa#
z(^vz>N{Eka{6yO)rZ09OPPeY&!8wLO%t}8vw`rW}G)u5%J+8HaYB9xW4I`Ena_m;y
zfqns*2NUI!p_5PhalEL+6F_WyU5~#vY(h<pjWX@(_RUElmxjNMGQRr3PEJz7bs$$v
zazxfnm+bE~3i@Y5xi)eXNe++CL0mc`$%Jn+DTgJ|m&Z_8%9v`Km>8Kl7e@g{*spU1
zuX5PTiv!&IG#s?yYn>JWxGK6kJ4X#}$xQg=WRdeLgR{KaG!EO$8p?77D>9Yw!mq6j
zxD>b$s7@20AC%bvKu(IZT-iqLc%{K^410(ISq%rdM|~i;yNtAt{zO)AJMPq-i|efP
z;M?)4m&a(?O->FRII!@dI?J=E^0neci;Zt#5!u8o9=}H~w<&ENz2)R}UGU2Jq}wok
zUQed?@r-cMTMHrG+`d!SxXC2?dYd*+pBmbarjiy28OnanH=BIpV4dMEUU>0+o^l{w
z<+?IOVOlx2V6<+@*VN|%kF3gh?j9}Fv^fbJE$}zy*5dr#;i*q1M%A@RMk{pSv{g>A
zMusUMJ<b!9yiGNBowuMb_RI3axHo9%&&It)t&?$hmu=6APXRL}DJf*_WHVm%R@r!I
z{0*bUPMTK5<d}E4Xcv6G)g~`FwO=V@bhf^tv@6!qlWxdvj3<P#Nh5JP7AtF$ekO{Q
zupSGn*h*OI>sWp?mT`W7Rumzqg#ol$C7%U@Rj<NrbbZ<;c{?QurA<iSgyaxK)Q@-g
zNJeSZ2oW8Jpu0d#)n}EZV51atM4|51E9Q+FAUzDIknAU1@3e4A^(!+e7cbT)?L4wp
zG3DBOV@_(B*H&lZs+US8#$`z?8CWr0qbh2p^KjISoK{N~R3^5FRh1zwatR&sSXCWV
z^@M&PK{!)|P$^&^^E&H|mRToYW-bjr7iSBcMUeM*!Nxv9sHti0<iyCIX=`iBQJS{~
zpdipO!B%6S^=6CxP>O`Y0OZ5KjC5U~+dEw0ZntvB=-aKBMs=BF2D?C|O0j#%`LyT|
zRGi22CCov05$gRE;4|7pqTg?m{fz>AaCBWF<@t(6=K)Y~lw{~e21yug*(Myd$*I()
z{<@I(LN)3Bx-d~YDI}%88IZuPkw)6QjwKHxAcX@>?i>{z3X~Hu=m{aMj!a6Yw_kz_
z_e1Ls59_h1l>Ee^)fOtplO=5JYH%iA{YX*Ms8CH<&(wZ_NdJ&QIGPa@BMhM(rdHpZ
zF}VAhY2z5A3w!Lez0{XpEXYVitU<Zi+whn_CJyH$>@Dlto?SPyQ8t8$_p9c}hmGxd
z0WOt*blaaQ6l@pIV3hPzyi3dDc*=U4<_C6?@JY#&#qLQdP*0=enNR@B35c-6J)OWP
zrv%9xz~w_+qR`8G0Y1umzzH;!hGF1`u^-$nLZly<LzsGjZZffeegRBgi6${LL-7#x
zIw4W%vIA6WQ4XW5!>QQQ>&NzArjOR)uVe7Y^lw5ewjuW71wpx!-xj5iDW3`;r`Un$
zBZ#(D9$ElqGUn5T%|WaKDs~8X!tdt~mxo$50bYYrzcN~%Kz;u>&j0D$0J%`A1_Q->
z(%Y*>Z@dK0qzv#Ci039!*N5M2m50cL*F;c#0A}Yu&HJED4F3s8otgDh*L!II+&eNE
zU7PcB-j9RF$l8sL32>s@yb8|+DO)N)`}Np)4Bks1gm9e#p#J*De@+x2`W&EEpENpC
zfGm2QV4C3^$lv7~Iyho$`QNZJrvJ^(SXkK@{!<~8iIekx6hc!lAg!~O-nw3Xniq;W
zaXwm{8VQ??xE-<w+}4XZvGO92H!QLTENYG&>B!5GGZB{2B%!H5e?eun7GML*P-O`a
zkc5H&TWASXf>c#yf;A!+VhL`fFBg=*HQanPFF=EQ@OOQ5-F$D~{bgtCv9Uy8te)9)
z>>dd`G4YRhr%&L|DjB8SSn2{0UIn}?Ox!#(pE*~;;R!+?V-b6=Jjt94Ke7}HWTvXa
zddt{)zrtgPl6^_J*mx@7a=c)Mx5JF%1j7zF-au~aX6YiP>FE9jx`|m|#QDj|%~AWy
z&wgzGA2o*W_siRR9xPEf4C)Y92WxlNNrtT|K?*O3_nPUMA$0b<U#9szd9lP)&<0#`
z-z`UZL2E8QqDWx&#E)r3_`bg;q=5enBd$*xw2!jSq7Vln;a3?^zw!fbp_?b2Au;Iu
zJVEmMjK&I=qq6(ZSoFisDL5uR3Ush4>;oDPdlj$?39BPYL3lk_$`S1TvIBexL*l6|
zdi71ehruQGFxH8W2Gs^GM-6<oeNP877UaJrb{PdJM^|Jmh7!jq1`~%9A3kiwv=iGt
z^ky!`(%cTT!n|rLxpAsphu<SkO&5!%!2Qa@XDk@6eh0a=De+CLk}F^!EAx@k0}1J?
zH&~Z@M}7$YE|piOAXk8k2EA38HKH5OH!qVU93vbN94q|Drvb7vlSfk*j&d#XT!g_o
z7sw$P!N?SLIwjz0Y@<|{j;c`Dayck62b$`A-9J7)*6YFU9%|^mdGMhgoTGf?Y7d02
z!{_(U>-!-vod;%+flCT&*<I1P-D~MpaZDNel)Z(rCx1ZdRkMcEBJ8De&Ey^GChG-#
z4uptME(DvS5)QR^fJzeK1Nt&8@}8AL6=Z4%Op0Q)%$c%8H-JSeAIjD?VBDxGybw*+
z>bhxs^|8rSW#4-pV)Ksd5i6ZLUAJFcA#?r+A$v2ousokFC@(L0gyq&~2@ULvWuEa#
zJ-3Dc6DnYyQN#uoBMJIMGy&p=m>81qbdAy=ECjh?tCTH5ONu@>Uy<yj!qV-|;oro8
zYS-?QXU2=;-+7o`8_IL(`I<j#3d7gX(ke>Wf?k6VzH$v##wuUBMu;Ls>KX_XYlj%4
zjQ^nCdEWC&(Q-SaD1K_<4@F(-mBczNK~OETj`d8;r<#L~_D2H%EG4q=KEr-S%jp=#
zqNrq=<Pt-t=EjNJm)OaAo|bpH%1zwYjIpR{IquE>Vv*u3|64KYwL&mXvWEgh4=-z>
zRP48~)>0%p+xrtZT{FE!9mFa$9BKX}@9sEzbbaQua&=9?dXCol&>(yOYgTv0oBM9i
zp*&YGYPYqay|G?D(k`VVuV#!>l6gcxP3q_08k!_nxyQnm0;^Sw#!Dd#48%yKhz0x5
z)7#g5nnh!}aL+Vt<a|7tq3WHmqTTqe%w)vo2Ul#4P^=y{D#USwyaFlkmRin{GH5$e
zzq$pF;|fzLNmc<gp!3Du31vixcfy}0>2|PUSmY#jSntzo)4P>Pw;mwW=Om4Fv;>I4
z^h-`;6avqpnmiwrv=n$#L)cIP6Yy^@h%$2#A2n8RW{z<>F-fby`KslJ(a=Q9=%;U~
zjCuLdMW|y!<!HGwXLa%UG%^jfDRL;Kk3!v?kjrn;<6M~H66X9Oa$*23eolM_JYFF>
z9<<V$3T`K?=@apj@&~ew_;j-s_!;NC@+>ednMg|#-B1E?4GOtKh#V!tUV-8&S%d6o
z#Ix&fYYmRZ>Y_>1?k(Z$HOEA@Ye|h+`Q+C8T(S!9r422-5YB8`7yYfwOwXf8Vt8%y
z_voQ|-k8-CE!2%mW2&dMX|+aDQCUltjd%Idk)yf}=sqrAg&4Dadg?rJs#!vC3C*#m
zpp7qWGs?TM05s0IxMsmg4P%>31$*1arH63U>Pn-Z!Ak1{rqyRV-|S@#8p<1nO0oE2
zrUqvEW;GkFbmR1;>y}?((E@6I<YiR>k2`yh=nWF?C8MO}gjI8ruG&lLA-Z`J=o@J{
zlHNQj>X~F@)SHQoLIN5Ui|?d)f;F+wB9&&f%tVB+F}7YP|MATbb=1kEUUSbUi+t5D
zbcjAZ{}2)ZL~HUu<)9T0Zrza?PoAD9ciX`u0AnIq<6&z5Q={%ncDb(k?~*s1l2&k*
zRcI_4e^E&hI9YieMK{R^*)X}08x5W6a~fLMmFb!{ptun<E-7U~$Im<Dk-X8h?c5yH
zx3|y9hc7TcSG*x8Ga62??G(aGajJ4r%YaS6SdrHzagY(B))>E#st5dC$@s8oyx=tr
z<seG>Bnu4KDy4qKzKq)IS41JDv5q7&{OC?rzAfBKk_)4Qj!)E#Pc8KsJ%Wp?Pe1Lc
zYfVY~Y1cxaXrutXOOR|Zb}>HEak)`T0)cAPHV;rgQRUr@b`Y6z(VinlxRItW2{KvB
zA=7~&a4@Wrs^3#**j(OKb}du8YN(c>>tY)?N7E1rF0i+yU!p=<VzpT&ky+JmoL(j&
zpQO#hiU#I3e`JS!=r%z(i$%prW(yPS0ChHKAmJX969sTb4cAWZ$IX2R^rA(0bEVnn
z&7nG;pFMeUA3x-Bz4H}QEXMeH5{^~WKHk9{MN84a!hS1$K$BU{ni;|?*=I{SG*}Rt
zlTy{%L|6?D^GkaMrTQ1poZiy2F3EOadn3^dJqhcuUo<?yjyrBRmONE<@rLDW$FE?b
znIHPoSmw*q&B|-ypi#QG5(1PXIPY}bai9thFln`lH*R$`dU{#y##0M0Smnjh(GF#4
zd0)#%<&{ZI@L=Z+qc0H(jZWG8Sw++2c6}tLT_7e-+8WTdj@QJnRUpxuB}p7p(jt3}
zN}-B<-_S^C&0q1{6?kzhZYvEtOtTz^`9l7bb9m7)0{%>U<jQUR(<Mm<^%8__3nnSx
z(DK>5aTr-x_#4l$&i(}M)fMgA_kd|kYF^9?5OQ;sCK)UKm23^(&4*R7q|-90h;}*|
zsD*`m=1HX8Y$L0~sKArq4+X!rk2*QkCHeU`h5fo0$^6g{WaJ#+w;joh8AX&bR*SJ3
z@fs})$Y!e-MDewYVl?PSQfvFox?tiXJg>g^mS7^?FZOY4Tf%p*gWR@ZWQQGXVE(Oj
z#QP6!E=~L6yQbgxPk4T17ENyUwzl^6reu_yzV=bn?N$(_%V=r=)-tA|$2J-!+xK{O
zTw1fg7GaPLS0m$d{=QTShk;F*iW5HJbI1ZjYW2rSE!-e%pkIR{2BnZl#&&eF{uq--
z)GurJeGpmY38`75-lnt#as`70TrKCby*$zo+CLiyBl_N%w%33;Q3<mo_`$Ru^rLzJ
z+!Ow(U3`1kB<|M^e=PVLdTcD5zRA96^dBIwTX<-r1XRQl&}p=c5RaR#fFO%D4VVej
z2@-JdZE}y#4yX<ZD%K57?G^{jWmAGladEyFm#T%c5UFsm_}*U`0z`|u2%yebpA*s<
z;U-QEp`vmxO~#`dsZ*ngFmP8hyXvWX%`KvMIlU?-fFVTsyZj)QY2#k5l2dS?HHZB2
z;BLn+%KL>e6A>S6AR?#Kfm>itE5UA{)kewC)xtTwwjUkFIRWg)Z^k(ymhM5M=R}K;
zA5MjIqC>B??pl)t9*sbDkrM7&!gEBOT$A=$EWjuOS;SCwiH6}7oERBFnh2)T1(c__
zh{tRNq!dN{m85W2ihv_TyU_z1zoGPj7#1+4P60ZbMfHzq9)}Y#MhJ)U(ZaehIoQz*
zTwzptD}n@!U}S`RNXB+xdPy3`YYxott0MZ&;nKMQStw$Idc8<T^##$Cqj)F)b^|mm
zRV-zOWGZckG`$z1>C6>4$w6zP?DCapMtR{LQbA}GekF?hB5xsnpRWoq4mkuEXLFxe
z6CgI(nLtgl_n#uS^I<3dA<}oJH7y$CPd_w5o0h@_2+irlal{4yYk$l=1?kO)r$3|}
zl{12(m^X(P+J^NF{Q)N|HfR1fG=TYk(*R~Bj{isl7&$o^|9g{WNzFz&YXz0>rTZHo
zC@6*>Fvy1I6L8f(#s;Wa==ByH!<s-oiry$3kQ@Ue9wb#%vQ)*QQrf1$dcDFjr5%6k
zn})x_xDv%?sZl~D+5F<SMP`M?Sz$%OZ<ox)-x(~IIUnyOq-E>RMjv%Aubn5`PB%W&
zZ6~=O+g1bs@{nl(LEEFf`su^w^i(xP&D@N0$9xZG5k3G&L+|~Hd<|nuPIkcdU{yC&
z#?9;sRJA`U$tKiRUK4UwAHLuOk-*{5m1~n04};u2Bh4M7-73oBHSuYPa=}mZ)yHnG
zIxj<&>OXw<)9b^EqCRRLi2FUkS1k`2TQchYXx0rzTaCG6W;r|27=Xs%axz)i8{9)H
zy)n-#>fE($^4D5^-&1$a?Nqmr;%#AN0sPwCAAm`InLTZ=@>ThikxoF6@)W!rvWGOC
zVL?h&k#<0Gd`_LFaG4>DVjGD5zA>F3hB#k9aZK8Y#(0~>@J*=ujtT0*<)^2o;zWpq
zc0$;fDc%TM#50CzE8pP`#h#vFc^MFO$9p}u1k-e%`1~cP`z9Ei5j>QOz@t84@1&p^
z$nR~SXZ(xgB#mx_@X%Z#1Ub?KPNSCI$hwgX#2L!@qQRA^p`_}eIM%(KtpHv_M9oY#
zVD)9Z&|0K6cYO-)fjI9oc}71*6(X5|Cwnr*;KkXcY{ev;GTk!UMEDGaj$G0$r!K{M
zgs2Xp=~{<;$27x}LOjN4%5tcDg>KJ2*3CmEnN-_`Hduc&gp~e}B+>Nm?Gr2J$H;@T
z0q7JhZJa%Pbmgc@6$x8Dyz$spi(1rakRWAkoIH4zAVr8)`y`KQbM@fDHb-klFSqHl
z;ip7QDpgOnS{WErX|ZLxTSgu<D*RF9&1agVLFr~*+{9si@mlAsnYeOf=os54w)`FU
z3)u8ilU36Otz6`6u8dSsZmc3xgN8E@O`^(7nw&C<PlO|Z40BR@^~=#(U*FuGgUE^*
zZgzy9?G@(tbLC9W?bB+;LX??f#-&E{0=a{$-^kk1J)6BPj3#*#R2g2&%%24D(bqTX
zFZ6vI;ux3T{wA*8mh~=;-GroG$44opUlr%+^;B8B+?9#sv6Qn90G_r2(zJ{CqD$tJ
zu*v|+cVNZFml+pbT6deedqh|1mzFt}4pX9SecRs=P-{^$zv-U%-L?_&T27ZFTv#z7
z$w$C4W-h&!Vs^xNYYON0pYZQA59ZX9{W=_qh?ln3OVuiYpK`X`uH(H3J!;uat7x#3
zlUqW$LZR{a#$TEAlc^b|1>E(d>W(^nOQx(;&sheQHWrnmI)4_hi$7)B&6qM{UYW1-
zAe9sTj0=IvsrbL89DI4gEKSnK)i)~o_J~!~uNG%+Hl{14h&(N?+u>JzQ;6WB*I<&<
zvcg?;!9(|ajvQjc?Db|j3cpVJ-k<OjzT<;coEGvl@(28e;8rSwCAQw9J(GkagqRd1
zm5KzWoTJzxY*XK|b>^VvEGgw&Oi*SUN@^$TNI3Vpd}6ao;?1G$ltm)%zd_+6i`edK
zTI(MH{~n!-eXq?C>K!Z7uF8UprIq;zI`~q~vu~O-hWZm<9)Mi=5YnUX{pF3uE{J-K
zp9&2=)+_jF{LM9hO)ggzHjqW`wL)BUmoPV%prCO(|GB9a*cWxy7S*>Z%9S%yx_~{|
zfZ&NHu$dVo?t>Phh^CKq%2IISbI>K3P_VOex^#|O%}VRDtR^MZeEOs|j&$U>(|BX%
zE$q|^{~hTbJFoj-sc~N9q?#3#>bU<PQ?SG;@0@qK$!t1dESINuba9DOf5KcnmdfST
z!|B|4?4IQ|nwh3TO@`tEm-Tx(e`)QDHleJLtE!5H)e;-VvU=$vl6+0Ook5i79c;pk
zPmrec3y&{`e<xriR?h2>PGxNOM-9C)_Uw6w3GAKkJdUEak3;LNL9G;7tfVoF4aVGf
zS#CAvh8GRuTbq8sk2Io#r|G(vW1$-s`V0f5)J&4~9(b2erIT>i55u{&APkSu?eCH>
zvS_*!1y=bSa^X4h9C<|#jwo28AbZ8L`$ftuVVd7KY6>dbZHIJfqjfZi;+Z2#R#!|m
zm}<W(PxIgVOJ%kI!<aBET0I&J7|QBjoHxYZz6Um99XfnA9k8#s?w%K-T`ykgt81Zr
z`P=i47P2t;MDvui;#4wG=~~*qzZOkAVxlW&Cmb7YDzg*h1~&;%Ie8g1^<G05Z7s0a
z60g5jxRI+r+ektzToohj{rYIXFO5xrz*<R@DRb$1(8h60*L(_S0#)Y;l85XgVIWN)
zSI686@Ml(JRtFYXz^QAYxZTMeg}CdnrAp<KL^vb6T;pY0|1`_z{<=cic_GQ2=3cb|
ze%erPdBETfZ-d=(*KHxRjJ<JyL+cAEVk3xKcL8+3^uU$cDAO8f@B#Pwa{y}qdRH%Q
zR@X`L+7g;Pka-Z#kIZ43)56nFY}3mTtNF_c#s=DKuYb*1fc#Ma1W6o`1~-}?!-rwn
z!}zhM-iT}74a$lJjI(>|G1vqdKgs0MEp|lf$gFK(<bvnf;TO6ic|E?*ZNJ6gkkG@Y
zo3CTZgw&nNv(Hyx7(m~L5^C~y5=0uyWH}&25ginx_ecVSCXSgIb#2x=3sQgv3C@e$
zS}`u|zex>P{!MDY_McM&CT5oZQ6bDx^RiZ2!TgzSYqracMIMPYBEMty^+)FJj+H?g
z;b@M?0cRv5;~<pFc1z-z3IZw&fkP8*0W>^cFE>}=R&LTPl?^AfsU(y609V;6j;!Zz
zkEtuL5Es%qTkqqSc;2!CM-sSn;Lq{O-MMh<cDi;801yDo1^@#}xUEqgp5g#3=H$qX
zcH!1u@WVd`CQ!J9FEtfA7Ev2qHKw|K`W_tJ=UHabjzc|^p2WfYG3x881SnJjxI8>u
z9WCSYr44YxH@dq8w*K>~l1$#;ZQ<y8Ry#1gIr811o@zQ@o-q8;JtP0kn*C$%dU(qN
z69jwmmu^qROvbLg2bubRc5pl&d3!ood~xprQFIQ?0N+5HAmx1(eND<I+)(RhaCaK`
zaopW)cz>Pr<<ZpibkP;1odM?)^d)-4%PBWJa~pqyoY2orjJg4{@dF250@j*(K=6Er
zmt|ywgM@VpCSBwSf$IrzV}hVV?wfa~M-CQhQ+Z}{BSndfPMCisM8g&;+{<X+lktnG
zJQDXYBaUNj?jp>7;N#B&SSo8#i8l!Vr#h*po823)@Lv?*B5ck3nOW(@J0<N5Tz-<v
zP4j0r2>$q8z;6M{Vg*7K-~y4qk#n@17H724@({`^T+eYiqEU^;{gUSDqkH^gm)X%h
zJp$9S!6RDoN+w7fxKhV<>lN6*RW|f$6^tO9k8C&#3~m7Pn*dhI9wN5t4|IoGkR$sa
z%m4*#W^m{X){B-r8M%n&pA$+DUPT}quLH*SA>_vv7{n_fM+lb2kXYW7nnbTdye-+0
z2IqT19|61jL4bwcXyP2CQ>gdS&<$acO`c_4`jHB$>(tHIkv9YyogW~&Uc^yg3g*QQ
z-fXFIiWK3kCDoE)5|;}dtftg~9CP&_bd`B*c^FaOlD6$Dv*0Gh;r)B&C)<WO0uz*y
z@s2Uzk_{~-+Aj$cnTtNp3)wK)WBW{Cmrx|LZK(+vYI-?vU2(A)Kbxw$fh}&o;yT{p
zt2~Y8!IvV|li6bUJ83lit2=j6q|_#N&S7zD50f^L_W9zg<?EZL#5~SWYLf~<yW7hO
z@U~fMs-nC=F#iY7FJ%VNeoY<?JNZb#8K(M;zTl;awT+k!>!JW);%DWTj^d`WgOzUK
z(xTse#m{F~;Ds?l3v<wgyx!LLtDg~>h}fY1pNL$OMaNc{`KipP9!boti&(TR%UuCD
z0Te`T7}b>^2zI-w!<inP6#GMMJh~ymf|`09I!iqERaT8##gJ><rbWX6UCrrhNE03Q
zJoe|a{v+#jD#7#Ad%#Nd{dDCt)Nd}yRXg$0b7j%y5g;Pa^<APM2uC;kzT4b)SGlP{
zu0k&GEicBUCU(7@N*W*4`#sLf(Z@NwzPDWmh$a?lb?3YA3){MGd|q8vSKv&b=X*T}
zY4&Qj&qs$iMP@dCo^r`ZhaQWTQh39W?M6(ZV~A#Ln?a0%46Tiug>F*@<+97MwIy(P
zbr!s+_OM~FKH9wp43zw~E6Lw?IJcj-l7Q26qldkfc203JEi*Y5SUILfD7G~pQO@aw
zzhKDKs5Ib$gr*Z-T*<8l4F#hnE4a&9wd;=?NTq+L2Yo^T1JgPcnwVPldJT0VHUWv^
z;4AAE2^%^Tki?xNMD)N6(pC?|JpIa0N7po`MZtV$T}l`(#Hrh`g=}Ye?hNRTT|n-}
zUD~R2Q+!Tklk*cY$?4y#++bfgyvv`4TGR;C6F^l5VWAOSrZ`cjJgVLXngF8;$&Ht;
zg6~dYX&3?(HePQb#$XQ#8(7XS^3L;BE1F9=sos{t*Jf<AE`3h@?ru&gKW3{jGaZ5X
zvvfA$*$&^7%6m=u{xZ5IlNAt~=^Df0rD<&FU@QCd-BS2Qq!g!#Z_C1UUQH|OqWcr@
z{73Gsa|x{HENCfPSth@lj`6_h9b`zuc??##CGe%udZAm2M6?JYU~Sh_TO*wG5*^rR
zshZO7<T_RDI1=)XHETfCX(Q5Z)2_<(nd-q59Ee`_HAv<fkFJHKl(R6|4TV}FsBrrC
z^2@MC_3IX)q9?RmNiu(m=^o8}DU#4bs9;fb8S9rRVVgi6y;{W-tLDKuXN6|hz(@kr
zT1lg3E4jT`E3B2qFvSV%VI1s41zN{_L^iaYorRG|LSLCW&hic1n2vH1l^Z5e0F&9+
z`iw-UG&Ss^EZGm$?yY}h8QMXQB{kfqD0Hq}_9!^;45pw_U!R4L`Qpu`BSp5V-R5?7
z65c&Nu8k}_`#}foqhftULHofFoL_oN=F5v%c)fSSlKVLGvMP=6!%*b9XoIpA#Y&mB
z&b2qYN(t4ub2J4RWbBIH&;-JPtd1~d#%k>%v>Ncb38UHWMl0*=U_BKK+!(ft4eI%7
zGg;5t)@=HD%|%UxJox1Xr%_j5kq@7oE=rmO&QeOMq)s|C`FL?PC{&iLO*u_d`_vtX
zWn<AWre{EluD~EQ`*pE7uaz;I*svV$Rom1Sr;l&TaijCljQBXUB+NaKT5gAk8KGz;
zrw>cx^M_zpqx6WRU?NcR<zbS1g<xaI2Edev`0IxLbY7L=AWV{8$<)vH?z&8c=0|mV
zlZGZ91VuQgkUzv4<xG@n9lXP>XG?g3__&H@xw4v}l|1%=L=lEaJ(f=2P+!wabyuF0
zFk-^$(WBDVy3f|N4wME#70K~Z11@elaP91f8B?LQwH~S?cDGDEh*t*NkljX;brvAI
zccx90fS6;w4I>Ey@k}GByhyBpZBnSmrzE|;E;C?K`qwD~y`!On0d)Yek-8hChXR(C
zm%RzrZwD6ADw_b4Dsl&FK(snLRAZWgNs-BH9C2id486K&OjTOP5(6}`lX|3)x=8~o
z#1T`59!;eCN~}Xo0bHY7oaVm|AJh2XwPqW}a_sk$gl^c+V)YMniwD76yZMmJEf|U*
zTG%|;IILRkxyfZ4Ogll%w|KIU&*#mjvygak2kR!khKqLx68(n>wUwZ`Yg_Bw6|8uV
z<DbGquK3l1+eY5g)amYjB;;i7Ax+Cg;@{vW$;MZih!Iyqg+V?eYSTcl;vs?!(7TD#
zCy*yCxbJYox?Z=zy;B#X2K`V!0zR?r(BdclP4e~s_xb(bj_iN0#ONeUSPn2Ch`hW*
z(JqM8e%kh8NVeY<!k<3_qgW(ES!#^l_xtI2kQK`ZfP}R@%;sG3@W4-t=5~c?#2~cQ
z$%3mNvr_D$w`z{u2U=C`$K0wUJ<>>x9W)E4gPEBwyYPI7_mPIi;O9Pi2Y{z`fx`B+
zQ}cW0j0_%}f5A)d5}{Y!w1Fi-b&3B_k?&&u#s$yWXR{qiekgt2<hcdnEHzlHGPqOx
z6@Lv?g?#qd$$a(*ll_f8gDu&C@kBd7M=zZStx%3vPDqt79yp4S6MqgSkt`k}Fb<j^
zT2Uq`q+(eyFP~CDS`m&HVX3GXmddrrs_<((GMO`h#8N_{p^-&O26r6_w)M-o#c*eJ
z%d9Cho@ThIu%)ANxzFdp_t|UN*AEc6C`0JqIGpqUWxN03e+Mj#9RI`NNfVX_3@D*5
zzEHFqB6TixIf4wyu1O-?1IEXII1;k3G1e$%2`%^<d1t*CIIpiWNBra?M;Cin2*V=D
z{0GKyzK8=D+K($|Xw~TCet1HJDfUG=Y~wx8^D`nDiE%F%`}AQ9(nG%V<9ZUEba!-k
zx|`1TaUyTTT=*mQXz+fzaS?GX9^d!q_-G2KI^@~-iUlve->3At$(&bbyNP^sFQv&3
z^!qP9&w?hY>2*mDD{U=&&wH0qJ}J4fmtl|2A@JAyTNLxML0^{#ST&g_x+<b>)Jq-G
zHn2<a<Hoa@GD-1annW_cCCwC3*O@hiP^Gq+HRF~|6X}w!=TH)Wg{M+8O$8b<ShlR%
zSELu25)8o_ru0XXg!fB^qD+Yfgu%>Ur&<1P97Q{JyHtgFg?I%;g}AnrHoNqq5bB5W
zrP99ifpk6d)HKQe>E=44n%cHCO%4W--U4b+s)B(8A_@cuy+}1AR1+ceA`ps5uPRCh
zfkOv@0}2A6M5=;_f=HJ`K&41IfC2##32@^*_ne1ApVvFy81Ieo{;je0-ec|geRIw=
z_u6ZHNr7?pmM;hZNMdJcSLwZlw;-`WgW?5DeQ0!!{IUT82*EqmhlsEHX&?gcB)B(~
zZ!V8k&Fqw{NO$4;wz;1BH`}iAQ?^hrBXU+<YbY&NU@G`qo}mX8Jb%D5RN)(*qrUJA
z*GwOJlK*UNke1^)ex{J`{0hC3cQ!y?56{~gY!{M=I24_*Z@rfyG~=^tO$y;yYZBay
z<{Q`?Rmgq%>yVUX>ql6!UWP4LF}mtlmgLRgbzBbLF&ENp6N{UlI^xLF=3W61yB;<Z
z${b76YuhJNOF?Tv#0x`gY;Jr>8c0zV|JHteXbX%!PNDdy>&#||MFM;tJnfT%E^Fs>
z*l-HS1-_`PM#VqxR7sOi+`q_SMK&sBadt0l6KsgCn1~hE)f>^u1f=@so8_NiONAqP
z@^Ss#1nw*b`TP^?JXD>BtNC=Pe%FV?FEWD@`sD~*<@uLlLNcSe!ix`UT*!~2`;8%K
z)wDfMLj|F7__iM_nPX00)g=$6rb6$SA^b)hVIQt@$dSPjaFsBRZ51Nx_G)JsJ(hn|
z*Ljt*&uluL$zQ}I`s1lp#Oetzy(qKfMwRCsr<VO&rJvL{ZQUL^J5Q;JKE!5Kzk>4I
z-eWVEA>iCUfS*YA-TV%dXMZYUp|W2sR@)>WOp&WaA#xZN(aC^;Uwn6H>*e$q>ZI&(
zQ*BlETusYVBRX;vp}i94{J}W`x#Gt?c$KeK5|ZN6x91qvlFp1jkeWATZZivdB8N_A
z@M$}fThdpSDbH#Ik8BKRSnsIK)(*r_|0d27h^rl2M7D`H_jU_z+?tnkwK}64tx**j
zEGRauOE{`1fM0oKw@T3rx}P3!?3_CEayns5Em5#H8l4g|w5}CB1c9vQ<>p`n(;AO>
zFoU17=awK}Yn@WHC^pq7H|o#LPwS`dht6jKhPyav7E2|hp0*FKil{OM(IQ%0s{HAY
z-8bN_8x|$~B1}0W3-?r8I5+i->xRO*fk_PRw~EFcYgpY$E5RqH=d96M6dEsP5~Z$S
z=XiDPq%~>x5EfaO`7QWz2M%}qD2$+Asl)sY{@y?5C($;bOiZ#z^Fn0FE{!IzG{%y*
zrgrrWDp%07tUZPbepc+D-PQyV%dvPZqxS~y09zkpR;jCuNFQFn`b64;NDGh7P^e2@
z@j#H}d~{derrDs}iQVhd%~8nZ++}=8tVl3(`s24}E^qlNX~Jz<_6w3GPSg~;M^p6y
z0tfbx2_mNTD~f`fSc|OzGT$08kn^TRAwSe2s|ChQXfhtOUn3MQ&Ny><f6S`{jP<o_
zk7Aio=VKf#Od14v5)6>fF6yy|>y=mv*Mx}`jPwJX@&T#u3{FMHNb%I9GPcsE5DbV8
zrpl+F)PCqYz;NUd16*`={%5V#kyW0?s>i{iH5a>2m{`O=7YRfy*c8SJDR;AE9l~-F
zXT#r!HQf%mCcM>><;vuBmvSrM4vF^{?X5d=;%&tG4}7BPRjuD)1@>Pdaq;RE90-gy
zy6l3p!-LIyFXR8&q3e!y#DP)H_Ehm6S+EYy+0hA4ZK!*?d3u{&!P-%u(ZKmR+u=;L
z5nzNf-p3f{t?uc5#nS`lfd?sobv>w3Kvz7!C;@@+-oCi+?ic%0Bgh!*?d}7j>IWHn
z<LsU7@SffvS@|y``MP`f{57Tz2nvUT%`RYlTtRYQBHHvXX(8EzCxNo<KJD+T&>Y&M
z+xw2$|0Was5Q?9ASL!SN1Z3LYSn6TspTO*2;z_bH2Wp9II}8mC4IK^bckEO6&uEqT
zn^(F23u0yd9P}$@zf@O$GYdO=(C)e<#UnH_Oo-^6H<?E+l$)HF_gy1%GoIAbNxmq4
z?;g($(tz_hi^(ut*N%GgRjziVz+1!gy8)!tWU?spTD{2k0Q)z^-2dDmsLcK45kE%z
zKlKUuue?6EPxeT=3=@5O<o^Ee0-&67nH(Hj7z0qaBV+7jp?OpA>;3wrCDKE}n)G}Q
zJ;|Ph^;_?eKXByzhlc-zhySl8g}<WYD@5!PLwF9;&_&Q*`i`XsCZ+!emi{2)$sgFg
z`=_PUJa2|~2OEN*a@3UU?SltF<iE83Tje%cg|l)8!f<@V!r7Cg!@1kqR;V(LzP`MJ
zW?`f*v?<=O8#9E2futm=aX#87Sd(&Z?C-X^45F5wp^w-vx2KP3S3fNOj3o1j@;fF=
zzU1bLfWC<0=!Hn1^XUzIszmO4(9Y1nK4qZ8#6)q8R(lqe)_B;=b`X?e9Uy@<9n8m>
z&gd(MN#DLEraUQ>F>QT0QF4kqC0_EKFpHwlQ@&VTOH8tJrLaimDD7G2lKXN70wu~e
z(ooL0M<GT1;ksR_wmuHc;ScP^0vhk~r*9cQz9(z!kWrVrKU12wUc1!Oy*@LoRKE>I
z{$5k9sbeU%ZR>;dH=t0Ux<{+B)?Ii}ZcF-7<4ZHh=yN?#Von}%@<h%3t!u|sYB@;K
zm3G&-73*J7j-mRW8&2bD|ERyFyz6pJ6D5^J4nc}JwNQdh@@ns+*&=?q)YMRFGoTq`
zC=4-tWuf+QR#DyGGxj0>r_Gs-Hm}hEw5WQ)IhZTZ(Oi;i9<dmvKQ&*I{gPQj?py{c
z5Z>|TB4gEVuR-0Z-HFpL^mzg#hlP?`??}m`h90Aztyq%;w7VS{U69zESAZ~?p#DWd
zeV}=|X`i}DUvNe&rbO*39Q<NJ4MJotN{FkBs{m>h`2?Dz^3Wxo_XINVS*6Y%d(Y8o
zo>VU?y(OHEtR@BF>?~h1r06;tu(OOkYi8?n8Grh)Lt0uNKu#Hhp(+HXE6qYnD+LYW
zk8Yy9`JGBVAML~~fNR>y_6m367Qyvx8|O8uG@_1aJ65=CqhRmPT$b8LEQClT4{R@v
z5cDUvkh_9H^mJX%S9=30B~Ds*-}CDd2H$%5Nd_?Ny<EeA{+J3PM|;unG!4O*%1fwH
z6?==biEuYpTj}Yxb)`0^blFSN9D{{j$0Mw|D2(K7%?9gPq)k^<5pTwEX$bIlv0Ihy
zO?}xWI)B90FBy~!>?@LP69f#8O>OKpp45fFZ?#^Ym{-B<xKA7(+Y9u%G~_3a5pYY(
zyfTq5S^TouZxr<TvAwNj5sYVDa?@oac^3@H-Z2p6@~T01k|dQJeAzA9$rp$h1mRZP
z?p7}<8eJ~E@5~`8uwRW45A%r^riWCla+`;;i5qlB)O8*cnGZ|!!-!f|^y(e%d*Cd7
zd9v#ro+GsL&|(dyQFe|tBdS|U8}6pWJXgI?X}+f7Zry1+(_=%F2fj3M3x{FiZsx}2
zhmP*vRx){wJ0rk)8IvT`?b{fkE8XlR_>>18Dp&C)q@C6dQhHyF2b9fFev1vWaLPVQ
zf97m_c}1mVvxFo=V+stI%IkYbAu3(WSotv&>&{dLf1A(xdc6)dRk(D<O2Nz4mk%}M
zHY!C9G8sW#(zbDH8hBSOd?pv{@Z!Up483MQmHJww@9**z!^)@9Gd``)?UE84_mx~8
zI^ZpbSDYFwQj65N506OQXpu}Gna*-gVmNtYh4P|M!PBJR?)GH3V!XX^Z$Th}_O1BU
zDr_lSJNz*@$1lAMTH+0fJddY;p48)CeZGx<&akPG(yL^2+kaR`470=z*^@q9N^DyF
zaP<8U%>`XICqb?|`>m0U^BWJJSjKKP7xd?KlFL`jSN%)fO1u>J8&A#Ld>(nfgVP)}
zxd}^eZno|eJ*Re!QPlATsbiPziD-{!@q;|OCtZW<hrKqclf4mj(_;WR0{tdO2;xZ(
zznXfa79DWZOx-A>gPWZ}?+CBG5aWi-j41FmyM^{sRRe%rz8bUBYIthTv)Ny5N|U#m
zIErQWCi-*a^Zsy&nZ?#rc^q-skT7kK<!=#$HAy|V!ODZM%LJr7t9?M+pL-Q)wDacP
zez5T$PcvAo-HxP8Yi0zESHGe?`8N9cL<HwNm#PR8#IR;QXpr@-m0euCW`}dx2ptfg
z(Z3TfE3q23HXP;+=9Y<<)Q5$MVu<~blk2q0jA{2pKOWa$^TYRp6weJe%E&3DKZb@|
zpmQ`#0sW`%(2N!@D95Q!vdeggOBvUo??sDi-)t`;7zecw0s^<*zf(t_Jf0d50v9^I
z9IDXNu=@G8{N6cJwN?q9W7``p7H`wgT%VYPT6mj7JFb+RK1XvYj&=?|A)dj-IF#ve
zc!a?QTULG)6n~^8hvC;nj(DwcF(8357gV}jK(+}_9b|DiJJ%dc*Au8Lr2^PLdMnNH
zm#(>O8Tfg{&s$*65AR;amU!fLL5hC+Kr_D1y3V?JLRDpD(!oS}P*!jD(QCQS9I&7;
z>8pzUdA|kE6pZC46uck6yzOu=Kz(GOPy$!4okwrUEQ~(Fpd&4tNs0=ef;^}ApteLc
zzk*9$XZAW9P$Er;DUI5WHN6iDJ1?VhZ_mi7KP_3q)MY)G4SLB(XqxKmbm9_+t<O;m
zs?v6#+^k9~>It)Wzt7m=v2b<?r4MxoqP`>4<nrxtW#K!(gv5$>St4(ZB7$OVq(|E;
z&9@$q$R3|HZ*p(oBST^fZ9_3bRYt>0<k%1&z2s+NpYKW%*Hr-Q({<k|PYx_S{i{4N
z#W_&FsO)h8AS)S=yqpaf1+tO_K|l~2u$glpj@kt__4LGpzC3A4z0<*ydhtv1M-#jJ
z!SZ@s^aYVa4a==Mb#0}mR%ORFtXD_CZrMQuV4TP}3}R<KET2z{$mHJY%?o;@8-JY=
zLc16jhM<W!CGZNt9>b&|%;=?~%BiHI281L=X9pT_Y&K|Zxo^O`K&~uo?~`KbKAr#k
z&^(GW)tBOZpAK2JIJ<0l6xcuP{IZUhP(W{!Gr0_F<Buz<ZWgSFt!@SWno>=QqtFKB
f2|oQ6A|E`~8z10}a{xeO738T>w4$0uT7Z85WssDA

diff --git a/html/amber.png b/html/amber.png
deleted file mode 100644
index 2cab170d8359081983a4e343848dfe06bc490f12..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 141
zcmeAS@N?(olHy`uVBq!ia0vp^j3CU&3?x-=hn)ga>?NMQuI!iC1^G2tW}LqE04T&+
z;1OBOz`!j8!i<;h*8KqrvZOouIx;Y9?C1WI$O`1M1^9%x{(levWG<?@RR^TFJY5_^
cDsCkw0NG3oj8E0?f%GwWy85}Sb4q9e09Jz{aR2}S

diff --git a/html/bayesnet/BaseClassifier.h.func-c.html b/html/bayesnet/BaseClassifier.h.func-c.html
deleted file mode 100644
index 7dd3cc5..0000000
--- a/html/bayesnet/BaseClassifier.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet</a> - BaseClassifier.h<span style="font-size: 80%;"> (<a href="BaseClassifier.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="BaseClassifier.h.func.html"><img src="../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BaseClassifier.h.gcov.html#L19">bayesnet::BaseClassifier::~BaseClassifier()</a></td>
-              
-              <td class="coverFnHi">1680</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/BaseClassifier.h.func.html b/html/bayesnet/BaseClassifier.h.func.html
deleted file mode 100644
index 8418b7d..0000000
--- a/html/bayesnet/BaseClassifier.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet</a> - BaseClassifier.h<span style="font-size: 80%;"> (<a href="BaseClassifier.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="BaseClassifier.h.func-c.html"><img src="../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BaseClassifier.h.gcov.html#L19">bayesnet::BaseClassifier::~BaseClassifier()</a></td>
-              
-              <td class="coverFnHi">1680</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/BaseClassifier.h.gcov.frameset.html b/html/bayesnet/BaseClassifier.h.gcov.frameset.html
deleted file mode 100644
index 92b4ff4..0000000
--- a/html/bayesnet/BaseClassifier.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h</title>
-          <link rel="stylesheet" type="text/css" href="../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="BaseClassifier.h.gcov.overview.html" name="overview">
-          <frame src="BaseClassifier.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/BaseClassifier.h.gcov.html b/html/bayesnet/BaseClassifier.h.gcov.html
deleted file mode 100644
index 9d3ca81..0000000
--- a/html/bayesnet/BaseClassifier.h.gcov.html
+++ /dev/null
@@ -1,129 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet</a> - BaseClassifier.h<span style="font-size: 80%;"> (source / <a href="BaseClassifier.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #pragma once</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &lt;vector&gt;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;nlohmann/json.hpp&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : namespace bayesnet {</span>
-<span id="L12"><span class="lineNum">      12</span>              :     enum status_t { NORMAL, WARNING, ERROR };</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class BaseClassifier {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // X is nxm std::vector, y is nx1 std::vector</span>
-<span id="L16"><span class="lineNum">      16</span>              :         virtual BaseClassifier&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</span>
-<span id="L17"><span class="lineNum">      17</span>              :         // X is nxm tensor, y is nx1 tensor</span>
-<span id="L18"><span class="lineNum">      18</span>              :         virtual BaseClassifier&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</span>
-<span id="L19"><span class="lineNum">      19</span>              :         virtual BaseClassifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         virtual BaseClassifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights) = 0;</span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC tlaBgGNC">        1680 :         virtual ~BaseClassifier() = default;</span></span>
-<span id="L22"><span class="lineNum">      22</span>              :         torch::Tensor virtual predict(torch::Tensor&amp; X) = 0;</span>
-<span id="L23"><span class="lineNum">      23</span>              :         std::vector&lt;int&gt; virtual predict(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</span>
-<span id="L24"><span class="lineNum">      24</span>              :         torch::Tensor virtual predict_proba(torch::Tensor&amp; X) = 0;</span>
-<span id="L25"><span class="lineNum">      25</span>              :         std::vector&lt;std::vector&lt;double&gt;&gt; virtual predict_proba(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</span>
-<span id="L26"><span class="lineNum">      26</span>              :         status_t virtual getStatus() const = 0;</span>
-<span id="L27"><span class="lineNum">      27</span>              :         float virtual score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) = 0;</span>
-<span id="L28"><span class="lineNum">      28</span>              :         float virtual score(torch::Tensor&amp; X, torch::Tensor&amp; y) = 0;</span>
-<span id="L29"><span class="lineNum">      29</span>              :         int virtual getNumberOfNodes()const = 0;</span>
-<span id="L30"><span class="lineNum">      30</span>              :         int virtual getNumberOfEdges()const = 0;</span>
-<span id="L31"><span class="lineNum">      31</span>              :         int virtual getNumberOfStates() const = 0;</span>
-<span id="L32"><span class="lineNum">      32</span>              :         int virtual getClassNumStates() const = 0;</span>
-<span id="L33"><span class="lineNum">      33</span>              :         std::vector&lt;std::string&gt; virtual show() const = 0;</span>
-<span id="L34"><span class="lineNum">      34</span>              :         std::vector&lt;std::string&gt; virtual graph(const std::string&amp; title = &quot;&quot;) const = 0;</span>
-<span id="L35"><span class="lineNum">      35</span>              :         virtual std::string getVersion() = 0;</span>
-<span id="L36"><span class="lineNum">      36</span>              :         std::vector&lt;std::string&gt; virtual topological_order() = 0;</span>
-<span id="L37"><span class="lineNum">      37</span>              :         std::vector&lt;std::string&gt; virtual getNotes() const = 0;</span>
-<span id="L38"><span class="lineNum">      38</span>              :         std::string virtual dump_cpt()const = 0;</span>
-<span id="L39"><span class="lineNum">      39</span>              :         virtual void setHyperparameters(const nlohmann::json&amp; hyperparameters) = 0;</span>
-<span id="L40"><span class="lineNum">      40</span>              :         std::vector&lt;std::string&gt;&amp; getValidHyperparameters() { return validHyperparameters; }</span>
-<span id="L41"><span class="lineNum">      41</span>              :     protected:</span>
-<span id="L42"><span class="lineNum">      42</span>              :         virtual void trainModel(const torch::Tensor&amp; weights) = 0;</span>
-<span id="L43"><span class="lineNum">      43</span>              :         std::vector&lt;std::string&gt; validHyperparameters;</span>
-<span id="L44"><span class="lineNum">      44</span>              :     };</span>
-<span id="L45"><span class="lineNum">      45</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/BaseClassifier.h.gcov.overview.html b/html/bayesnet/BaseClassifier.h.gcov.overview.html
deleted file mode 100644
index 57bcea7..0000000
--- a/html/bayesnet/BaseClassifier.h.gcov.overview.html
+++ /dev/null
@@ -1,32 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="BaseClassifier.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="BaseClassifier.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="BaseClassifier.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="BaseClassifier.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="BaseClassifier.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="BaseClassifier.h.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="BaseClassifier.h.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="BaseClassifier.h.gcov.html#L33" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="BaseClassifier.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="BaseClassifier.h.gcov.png" width=80 height=44 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/BaseClassifier.h.gcov.png b/html/bayesnet/BaseClassifier.h.gcov.png
deleted file mode 100644
index 678d90ab3d0a236bbeba73a2beb5a625a0ec3075..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 372
zcmV-)0gL{LP)<h;3K|Lk000e1NJLTq002+`001on0{{R3%Y*TO0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<S0!c(c
zR5*>Llv@(RAP7an4sZ+U4(k5*R>trW(J)g!5|bV;7o@owv~ye>69~@*>5B3K1Bh;O
z8j~XG{ul7%u^f-R8aT4=%?0q)jt7sZ^sqs}<?yJ-K~Io6mg9OAt&}V%0E(<Flikg-
z%iT>BT0c~VDgr-RB}G8Dz;*ziCwWl^Z;Iagw{v{Q>Rv)XW|gP-&>jbJYR$F|JoN#s
z7`7MMsD!mAXspT#+K({KantZ5t@N6G<)Ay2$>bs!YWN$(Em;TG9_Db~Y;f{%9_@dV
z*0NDdwxnR@Qq$_3@A^29`5Qgo`6JR2M3hB9u)NB1YMq?bY^<7N(W|Ace(`?c2uPaz
Sr9RvM0000<MNUMnLSTYX+@k^j

diff --git a/html/bayesnet/classifiers/Classifier.cc.func-c.html b/html/bayesnet/classifiers/Classifier.cc.func-c.html
deleted file mode 100644
index 02b012a..0000000
--- a/html/bayesnet/classifiers/Classifier.cc.func-c.html
+++ /dev/null
@@ -1,251 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (<a href="Classifier.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">126</td>
-            <td class="headerCovTableEntry">126</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">24</td>
-            <td class="headerCovTableEntry">24</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Classifier.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L182">bayesnet::Classifier::dump_cpt[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L178">bayesnet::Classifier::topological_order[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L101">bayesnet::Classifier::predict(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L142">bayesnet::Classifier::score(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L170">bayesnet::Classifier::getNumberOfStates() const</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L149">bayesnet::Classifier::show[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L186">bayesnet::Classifier::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L137">bayesnet::Classifier::score(at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">112</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L47">bayesnet::Classifier::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">128</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L55">bayesnet::Classifier::fit(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">136</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L166">bayesnet::Classifier::getNumberOfEdges() const</a></td>
-              
-              <td class="coverFnHi">332</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L161">bayesnet::Classifier::getNumberOfNodes() const</a></td>
-              
-              <td class="coverFnHi">332</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L28">bayesnet::Classifier::buildDataset(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">340</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L174">bayesnet::Classifier::getClassNumStates() const</a></td>
-              
-              <td class="coverFnHi">348</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L122">bayesnet::Classifier::predict_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">548</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L72">bayesnet::Classifier::fit(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">660</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L66">bayesnet::Classifier::fit(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">852</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L115">bayesnet::Classifier::predict_proba(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">1484</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L153">bayesnet::Classifier::addNodes()</a></td>
-              
-              <td class="coverFnHi">1576</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L42">bayesnet::Classifier::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1576</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L12">bayesnet::Classifier::build(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1760</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L77">bayesnet::Classifier::checkFitParameters()</a></td>
-              
-              <td class="coverFnHi">1760</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L94">bayesnet::Classifier::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">1844</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L10">bayesnet::Classifier::Classifier(bayesnet::Network)</a></td>
-              
-              <td class="coverFnHi">2240</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Classifier.cc.func.html b/html/bayesnet/classifiers/Classifier.cc.func.html
deleted file mode 100644
index 711837d..0000000
--- a/html/bayesnet/classifiers/Classifier.cc.func.html
+++ /dev/null
@@ -1,251 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (<a href="Classifier.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">126</td>
-            <td class="headerCovTableEntry">126</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">24</td>
-            <td class="headerCovTableEntry">24</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Classifier.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L10">bayesnet::Classifier::Classifier(bayesnet::Network)</a></td>
-              
-              <td class="coverFnHi">2240</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L153">bayesnet::Classifier::addNodes()</a></td>
-              
-              <td class="coverFnHi">1576</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L12">bayesnet::Classifier::build(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1760</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L28">bayesnet::Classifier::buildDataset(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">340</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L77">bayesnet::Classifier::checkFitParameters()</a></td>
-              
-              <td class="coverFnHi">1760</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L182">bayesnet::Classifier::dump_cpt[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L47">bayesnet::Classifier::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">128</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L66">bayesnet::Classifier::fit(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">852</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L72">bayesnet::Classifier::fit(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">660</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L55">bayesnet::Classifier::fit(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">136</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L174">bayesnet::Classifier::getClassNumStates() const</a></td>
-              
-              <td class="coverFnHi">348</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L166">bayesnet::Classifier::getNumberOfEdges() const</a></td>
-              
-              <td class="coverFnHi">332</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L161">bayesnet::Classifier::getNumberOfNodes() const</a></td>
-              
-              <td class="coverFnHi">332</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L170">bayesnet::Classifier::getNumberOfStates() const</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L94">bayesnet::Classifier::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">1844</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L101">bayesnet::Classifier::predict(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L115">bayesnet::Classifier::predict_proba(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">1484</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L122">bayesnet::Classifier::predict_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">548</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L137">bayesnet::Classifier::score(at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">112</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L142">bayesnet::Classifier::score(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L186">bayesnet::Classifier::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L149">bayesnet::Classifier::show[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L178">bayesnet::Classifier::topological_order[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.cc.gcov.html#L42">bayesnet::Classifier::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1576</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Classifier.cc.gcov.frameset.html b/html/bayesnet/classifiers/Classifier.cc.gcov.frameset.html
deleted file mode 100644
index ced4c8c..0000000
--- a/html/bayesnet/classifiers/Classifier.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Classifier.cc.gcov.overview.html" name="overview">
-          <frame src="Classifier.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/Classifier.cc.gcov.html b/html/bayesnet/classifiers/Classifier.cc.gcov.html
deleted file mode 100644
index 96d250b..0000000
--- a/html/bayesnet/classifiers/Classifier.cc.gcov.html
+++ /dev/null
@@ -1,278 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (source / <a href="Classifier.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">126</td>
-            <td class="headerCovTableEntry">126</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">24</td>
-            <td class="headerCovTableEntry">24</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;sstream&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;Classifier.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span>              : namespace bayesnet {</span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC tlaBgGNC">        2240 :     Classifier::Classifier(Network model) : model(model), m(0), n(0), metrics(Metrics()), fitted(false) {}</span></span>
-<span id="L13"><span class="lineNum">      13</span>              :     const std::string CLASSIFIER_NOT_FITTED = &quot;Classifier has not been fitted&quot;;</span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">        1760 :     Classifier&amp; Classifier::build(const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights)</span></span>
-<span id="L15"><span class="lineNum">      15</span>              :     {</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">        1760 :         this-&gt;features = features;</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">        1760 :         this-&gt;className = className;</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">        1760 :         this-&gt;states = states;</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">        1760 :         m = dataset.size(1);</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">        1760 :         n = features.size();</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">        1760 :         checkFitParameters();</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">        1728 :         auto n_classes = states.at(className).size();</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">        1728 :         metrics = Metrics(dataset, features, className, n_classes);</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">        1728 :         model.initialize();</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">        1728 :         buildModel(weights);</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">        1728 :         trainModel(weights);</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">        1712 :         fitted = true;</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">        1712 :         return *this;</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :     }</span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">         340 :     void Classifier::buildDataset(torch::Tensor&amp; ytmp)</span></span>
-<span id="L31"><span class="lineNum">      31</span>              :     {</span>
-<span id="L32"><span class="lineNum">      32</span>              :         try {</span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">         340 :             auto yresized = torch::transpose(ytmp.view({ ytmp.size(0), 1 }), 0, 1);</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">        1052 :             dataset = torch::cat({ dataset, yresized }, 0);</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">         340 :         }</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">          16 :         catch (const std::exception&amp; e) {</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">          16 :             std::stringstream oss;</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">          16 :             oss &lt;&lt; &quot;* Error in X and y dimensions *\n&quot;;</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">          16 :             oss &lt;&lt; &quot;X dimensions: &quot; &lt;&lt; dataset.sizes() &lt;&lt; &quot;\n&quot;;</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">          16 :             oss &lt;&lt; &quot;y dimensions: &quot; &lt;&lt; ytmp.sizes();</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">          16 :             throw std::runtime_error(oss.str());</span></span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">          32 :         }</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">         680 :     }</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">        1576 :     void Classifier::trainModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L45"><span class="lineNum">      45</span>              :     {</span>
-<span id="L46"><span class="lineNum">      46</span> <span class="tlaGNC">        1576 :         model.fit(dataset, weights, features, className, states);</span></span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">        1576 :     }</span></span>
-<span id="L48"><span class="lineNum">      48</span>              :     // X is nxm where n is the number of features and m the number of samples</span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">         128 :     Classifier&amp; Classifier::fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L50"><span class="lineNum">      50</span>              :     {</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">         128 :         dataset = X;</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">         128 :         buildDataset(y);</span></span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">         120 :         const torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</span></span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">         208 :         return build(features, className, states, weights);</span></span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">         120 :     }</span></span>
-<span id="L56"><span class="lineNum">      56</span>              :     // X is nxm where n is the number of features and m the number of samples</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">         136 :     Classifier&amp; Classifier::fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L58"><span class="lineNum">      58</span>              :     {</span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">         136 :         dataset = torch::zeros({ static_cast&lt;int&gt;(X.size()), static_cast&lt;int&gt;(X[0].size()) }, torch::kInt32);</span></span>
-<span id="L60"><span class="lineNum">      60</span> <span class="tlaGNC">         976 :         for (int i = 0; i &lt; X.size(); ++i) {</span></span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">        3360 :             dataset.index_put_({ i, &quot;...&quot; }, torch::tensor(X[i], torch::kInt32));</span></span>
-<span id="L62"><span class="lineNum">      62</span>              :         }</span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">         136 :         auto ytmp = torch::tensor(y, torch::kInt32);</span></span>
-<span id="L64"><span class="lineNum">      64</span> <span class="tlaGNC">         136 :         buildDataset(ytmp);</span></span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">         128 :         const torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</span></span>
-<span id="L66"><span class="lineNum">      66</span> <span class="tlaGNC">         240 :         return build(features, className, states, weights);</span></span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">         992 :     }</span></span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">         852 :     Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L69"><span class="lineNum">      69</span>              :     {</span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">         852 :         this-&gt;dataset = dataset;</span></span>
-<span id="L71"><span class="lineNum">      71</span> <span class="tlaGNC">         852 :         const torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</span></span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">        1704 :         return build(features, className, states, weights);</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">         852 :     }</span></span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">         660 :     Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights)</span></span>
-<span id="L75"><span class="lineNum">      75</span>              :     {</span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">         660 :         this-&gt;dataset = dataset;</span></span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">         660 :         return build(features, className, states, weights);</span></span>
-<span id="L78"><span class="lineNum">      78</span>              :     }</span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">        1760 :     void Classifier::checkFitParameters()</span></span>
-<span id="L80"><span class="lineNum">      80</span>              :     {</span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">        1760 :         if (torch::is_floating_point(dataset)) {</span></span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;dataset (X, y) must be of type Integer&quot;);</span></span>
-<span id="L83"><span class="lineNum">      83</span>              :         }</span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">        1752 :         if (dataset.size(0) - 1 != features.size()) {</span></span>
-<span id="L85"><span class="lineNum">      85</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Classifier: X &quot; + std::to_string(dataset.size(0) - 1) + &quot; and features &quot; + std::to_string(features.size()) + &quot; must have the same number of features&quot;);</span></span>
-<span id="L86"><span class="lineNum">      86</span>              :         }</span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">        1744 :         if (states.find(className) == states.end()) {</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;class name not found in states&quot;);</span></span>
-<span id="L89"><span class="lineNum">      89</span>              :         }</span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">       32996 :         for (auto feature : features) {</span></span>
-<span id="L91"><span class="lineNum">      91</span> <span class="tlaGNC">       31268 :             if (states.find(feature) == states.end()) {</span></span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">           8 :                 throw std::invalid_argument(&quot;feature [&quot; + feature + &quot;] not found in states&quot;);</span></span>
-<span id="L93"><span class="lineNum">      93</span>              :             }</span>
-<span id="L94"><span class="lineNum">      94</span> <span class="tlaGNC">       31268 :         }</span></span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaGNC">        1728 :     }</span></span>
-<span id="L96"><span class="lineNum">      96</span> <span class="tlaGNC">        1844 :     torch::Tensor Classifier::predict(torch::Tensor&amp; X)</span></span>
-<span id="L97"><span class="lineNum">      97</span>              :     {</span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">        1844 :         if (!fitted) {</span></span>
-<span id="L99"><span class="lineNum">      99</span> <span class="tlaGNC">          16 :             throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
-<span id="L100"><span class="lineNum">     100</span>              :         }</span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">        1828 :         return model.predict(X);</span></span>
-<span id="L102"><span class="lineNum">     102</span>              :     }</span>
-<span id="L103"><span class="lineNum">     103</span> <span class="tlaGNC">          16 :     std::vector&lt;int&gt; Classifier::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
-<span id="L104"><span class="lineNum">     104</span>              :     {</span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">          16 :         if (!fitted) {</span></span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">           8 :             throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
-<span id="L107"><span class="lineNum">     107</span>              :         }</span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">           8 :         auto m_ = X[0].size();</span></span>
-<span id="L109"><span class="lineNum">     109</span> <span class="tlaGNC">           8 :         auto n_ = X.size();</span></span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">           8 :         std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">          40 :         for (auto i = 0; i &lt; n_; i++) {</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">          64 :             Xd[i] = std::vector&lt;int&gt;(X[i].begin(), X[i].end());</span></span>
-<span id="L113"><span class="lineNum">     113</span>              :         }</span>
-<span id="L114"><span class="lineNum">     114</span> <span class="tlaGNC">           8 :         auto yp = model.predict(Xd);</span></span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">          16 :         return yp;</span></span>
-<span id="L116"><span class="lineNum">     116</span> <span class="tlaGNC">           8 :     }</span></span>
-<span id="L117"><span class="lineNum">     117</span> <span class="tlaGNC">        1484 :     torch::Tensor Classifier::predict_proba(torch::Tensor&amp; X)</span></span>
-<span id="L118"><span class="lineNum">     118</span>              :     {</span>
-<span id="L119"><span class="lineNum">     119</span> <span class="tlaGNC">        1484 :         if (!fitted) {</span></span>
-<span id="L120"><span class="lineNum">     120</span> <span class="tlaGNC">           8 :             throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
-<span id="L121"><span class="lineNum">     121</span>              :         }</span>
-<span id="L122"><span class="lineNum">     122</span> <span class="tlaGNC">        1476 :         return model.predict_proba(X);</span></span>
-<span id="L123"><span class="lineNum">     123</span>              :     }</span>
-<span id="L124"><span class="lineNum">     124</span> <span class="tlaGNC">         548 :     std::vector&lt;std::vector&lt;double&gt;&gt; Classifier::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
-<span id="L125"><span class="lineNum">     125</span>              :     {</span>
-<span id="L126"><span class="lineNum">     126</span> <span class="tlaGNC">         548 :         if (!fitted) {</span></span>
-<span id="L127"><span class="lineNum">     127</span> <span class="tlaGNC">           8 :             throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
-<span id="L128"><span class="lineNum">     128</span>              :         }</span>
-<span id="L129"><span class="lineNum">     129</span> <span class="tlaGNC">         540 :         auto m_ = X[0].size();</span></span>
-<span id="L130"><span class="lineNum">     130</span> <span class="tlaGNC">         540 :         auto n_ = X.size();</span></span>
-<span id="L131"><span class="lineNum">     131</span> <span class="tlaGNC">         540 :         std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</span></span>
-<span id="L132"><span class="lineNum">     132</span>              :         // Convert to nxm vector</span>
-<span id="L133"><span class="lineNum">     133</span> <span class="tlaGNC">        5040 :         for (auto i = 0; i &lt; n_; i++) {</span></span>
-<span id="L134"><span class="lineNum">     134</span> <span class="tlaGNC">        9000 :             Xd[i] = std::vector&lt;int&gt;(X[i].begin(), X[i].end());</span></span>
-<span id="L135"><span class="lineNum">     135</span>              :         }</span>
-<span id="L136"><span class="lineNum">     136</span> <span class="tlaGNC">         540 :         auto yp = model.predict_proba(Xd);</span></span>
-<span id="L137"><span class="lineNum">     137</span> <span class="tlaGNC">        1080 :         return yp;</span></span>
-<span id="L138"><span class="lineNum">     138</span> <span class="tlaGNC">         540 :     }</span></span>
-<span id="L139"><span class="lineNum">     139</span> <span class="tlaGNC">         112 :     float Classifier::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</span></span>
-<span id="L140"><span class="lineNum">     140</span>              :     {</span>
-<span id="L141"><span class="lineNum">     141</span> <span class="tlaGNC">         112 :         torch::Tensor y_pred = predict(X);</span></span>
-<span id="L142"><span class="lineNum">     142</span> <span class="tlaGNC">         208 :         return (y_pred == y).sum().item&lt;float&gt;() / y.size(0);</span></span>
-<span id="L143"><span class="lineNum">     143</span> <span class="tlaGNC">         104 :     }</span></span>
-<span id="L144"><span class="lineNum">     144</span> <span class="tlaGNC">          16 :     float Classifier::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</span></span>
-<span id="L145"><span class="lineNum">     145</span>              :     {</span>
-<span id="L146"><span class="lineNum">     146</span> <span class="tlaGNC">          16 :         if (!fitted) {</span></span>
-<span id="L147"><span class="lineNum">     147</span> <span class="tlaGNC">           8 :             throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
-<span id="L148"><span class="lineNum">     148</span>              :         }</span>
-<span id="L149"><span class="lineNum">     149</span> <span class="tlaGNC">           8 :         return model.score(X, y);</span></span>
-<span id="L150"><span class="lineNum">     150</span>              :     }</span>
-<span id="L151"><span class="lineNum">     151</span> <span class="tlaGNC">          24 :     std::vector&lt;std::string&gt; Classifier::show() const</span></span>
-<span id="L152"><span class="lineNum">     152</span>              :     {</span>
-<span id="L153"><span class="lineNum">     153</span> <span class="tlaGNC">          24 :         return model.show();</span></span>
-<span id="L154"><span class="lineNum">     154</span>              :     }</span>
-<span id="L155"><span class="lineNum">     155</span> <span class="tlaGNC">        1576 :     void Classifier::addNodes()</span></span>
-<span id="L156"><span class="lineNum">     156</span>              :     {</span>
-<span id="L157"><span class="lineNum">     157</span>              :         // Add all nodes to the network</span>
-<span id="L158"><span class="lineNum">     158</span> <span class="tlaGNC">       30872 :         for (const auto&amp; feature : features) {</span></span>
-<span id="L159"><span class="lineNum">     159</span> <span class="tlaGNC">       29296 :             model.addNode(feature);</span></span>
-<span id="L160"><span class="lineNum">     160</span>              :         }</span>
-<span id="L161"><span class="lineNum">     161</span> <span class="tlaGNC">        1576 :         model.addNode(className);</span></span>
-<span id="L162"><span class="lineNum">     162</span> <span class="tlaGNC">        1576 :     }</span></span>
-<span id="L163"><span class="lineNum">     163</span> <span class="tlaGNC">         332 :     int Classifier::getNumberOfNodes() const</span></span>
-<span id="L164"><span class="lineNum">     164</span>              :     {</span>
-<span id="L165"><span class="lineNum">     165</span>              :         // Features does not include class</span>
-<span id="L166"><span class="lineNum">     166</span> <span class="tlaGNC">         332 :         return fitted ? model.getFeatures().size() : 0;</span></span>
-<span id="L167"><span class="lineNum">     167</span>              :     }</span>
-<span id="L168"><span class="lineNum">     168</span> <span class="tlaGNC">         332 :     int Classifier::getNumberOfEdges() const</span></span>
-<span id="L169"><span class="lineNum">     169</span>              :     {</span>
-<span id="L170"><span class="lineNum">     170</span> <span class="tlaGNC">         332 :         return fitted ? model.getNumEdges() : 0;</span></span>
-<span id="L171"><span class="lineNum">     171</span>              :     }</span>
-<span id="L172"><span class="lineNum">     172</span> <span class="tlaGNC">          24 :     int Classifier::getNumberOfStates() const</span></span>
-<span id="L173"><span class="lineNum">     173</span>              :     {</span>
-<span id="L174"><span class="lineNum">     174</span> <span class="tlaGNC">          24 :         return fitted ? model.getStates() : 0;</span></span>
-<span id="L175"><span class="lineNum">     175</span>              :     }</span>
-<span id="L176"><span class="lineNum">     176</span> <span class="tlaGNC">         348 :     int Classifier::getClassNumStates() const</span></span>
-<span id="L177"><span class="lineNum">     177</span>              :     {</span>
-<span id="L178"><span class="lineNum">     178</span> <span class="tlaGNC">         348 :         return fitted ? model.getClassNumStates() : 0;</span></span>
-<span id="L179"><span class="lineNum">     179</span>              :     }</span>
-<span id="L180"><span class="lineNum">     180</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; Classifier::topological_order()</span></span>
-<span id="L181"><span class="lineNum">     181</span>              :     {</span>
-<span id="L182"><span class="lineNum">     182</span> <span class="tlaGNC">           4 :         return model.topological_sort();</span></span>
-<span id="L183"><span class="lineNum">     183</span>              :     }</span>
-<span id="L184"><span class="lineNum">     184</span> <span class="tlaGNC">           4 :     std::string Classifier::dump_cpt() const</span></span>
-<span id="L185"><span class="lineNum">     185</span>              :     {</span>
-<span id="L186"><span class="lineNum">     186</span> <span class="tlaGNC">           4 :         return model.dump_cpt();</span></span>
-<span id="L187"><span class="lineNum">     187</span>              :     }</span>
-<span id="L188"><span class="lineNum">     188</span> <span class="tlaGNC">          92 :     void Classifier::setHyperparameters(const nlohmann::json&amp; hyperparameters)</span></span>
-<span id="L189"><span class="lineNum">     189</span>              :     {</span>
-<span id="L190"><span class="lineNum">     190</span> <span class="tlaGNC">          92 :         if (!hyperparameters.empty()) {</span></span>
-<span id="L191"><span class="lineNum">     191</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Invalid hyperparameters&quot; + hyperparameters.dump());</span></span>
-<span id="L192"><span class="lineNum">     192</span>              :         }</span>
-<span id="L193"><span class="lineNum">     193</span> <span class="tlaGNC">          84 :     }</span></span>
-<span id="L194"><span class="lineNum">     194</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Classifier.cc.gcov.overview.html b/html/bayesnet/classifiers/Classifier.cc.gcov.overview.html
deleted file mode 100644
index f6fa969..0000000
--- a/html/bayesnet/classifiers/Classifier.cc.gcov.overview.html
+++ /dev/null
@@ -1,69 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Classifier.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Classifier.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Classifier.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Classifier.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Classifier.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Classifier.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Classifier.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Classifier.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Classifier.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Classifier.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Classifier.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Classifier.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Classifier.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Classifier.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Classifier.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Classifier.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Classifier.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Classifier.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="Classifier.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="Classifier.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="Classifier.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="Classifier.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="Classifier.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="Classifier.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="Classifier.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="Classifier.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="Classifier.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="Classifier.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="Classifier.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="Classifier.cc.gcov.html#L105" target="source" alt="overview">
-            <area shape="rect" coords="0,120,79,123" href="Classifier.cc.gcov.html#L109" target="source" alt="overview">
-            <area shape="rect" coords="0,124,79,127" href="Classifier.cc.gcov.html#L113" target="source" alt="overview">
-            <area shape="rect" coords="0,128,79,131" href="Classifier.cc.gcov.html#L117" target="source" alt="overview">
-            <area shape="rect" coords="0,132,79,135" href="Classifier.cc.gcov.html#L121" target="source" alt="overview">
-            <area shape="rect" coords="0,136,79,139" href="Classifier.cc.gcov.html#L125" target="source" alt="overview">
-            <area shape="rect" coords="0,140,79,143" href="Classifier.cc.gcov.html#L129" target="source" alt="overview">
-            <area shape="rect" coords="0,144,79,147" href="Classifier.cc.gcov.html#L133" target="source" alt="overview">
-            <area shape="rect" coords="0,148,79,151" href="Classifier.cc.gcov.html#L137" target="source" alt="overview">
-            <area shape="rect" coords="0,152,79,155" href="Classifier.cc.gcov.html#L141" target="source" alt="overview">
-            <area shape="rect" coords="0,156,79,159" href="Classifier.cc.gcov.html#L145" target="source" alt="overview">
-            <area shape="rect" coords="0,160,79,163" href="Classifier.cc.gcov.html#L149" target="source" alt="overview">
-            <area shape="rect" coords="0,164,79,167" href="Classifier.cc.gcov.html#L153" target="source" alt="overview">
-            <area shape="rect" coords="0,168,79,171" href="Classifier.cc.gcov.html#L157" target="source" alt="overview">
-            <area shape="rect" coords="0,172,79,175" href="Classifier.cc.gcov.html#L161" target="source" alt="overview">
-            <area shape="rect" coords="0,176,79,179" href="Classifier.cc.gcov.html#L165" target="source" alt="overview">
-            <area shape="rect" coords="0,180,79,183" href="Classifier.cc.gcov.html#L169" target="source" alt="overview">
-            <area shape="rect" coords="0,184,79,187" href="Classifier.cc.gcov.html#L173" target="source" alt="overview">
-            <area shape="rect" coords="0,188,79,191" href="Classifier.cc.gcov.html#L177" target="source" alt="overview">
-            <area shape="rect" coords="0,192,79,195" href="Classifier.cc.gcov.html#L181" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Classifier.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Classifier.cc.gcov.png" width=80 height=193 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/Classifier.cc.gcov.png b/html/bayesnet/classifiers/Classifier.cc.gcov.png
deleted file mode 100644
index 5148c17383ab61be77bd63024e1da3aea30384c8..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 852
zcmV-a1FQUrP)<h;3K|Lk000e1NJLTq002+`006=S0{{R3ERk5&0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<T;z>k7
zR9J=WSqXB(APlsB;C#XQf%yO5YJ>#hKI}BjOiAk`o<&-nV6wgTS9@$cBH->W$8|mA
z#*qLIHMuw<iHD!x0k${}4{yUTP*d#y>xN8oB<JoO;CY&OfH8>fBg)@32#9i92Fe}#
zvQrI;M1_hzyDvx*@f;bOy$Cz2!wdkKSr<qG+p5vi?{FLjDrfY75Uj3D5{W@O_zP-$
zth(X*gyVxiYe*fXflY!AIGjD~jAW!##wAjL9Rro>@LU*}sprrFdZ0&v1P@R<!ll`m
z)l#rxJ78&IP;EG2S`sfHT1xf`oR*k`Dh4{60tW?d04p357iLsv+_RiLLIR>9TIyyh
z&X~!Z;s`(;m^=s+9+HXZQUFPAsWnSfLU_zVYrgbMSUms?E0A7|_?<FObqen~hc{7R
ze$kJaKUe&ytckM3OQedqh+g$9nFAGxx;b;zW-@163Zx577SP#s=2NjQg^=qp++L|`
zXT`tOCE&xxqzijxiJLJd-z#M0Rb7yP$_#7(k^MMRT%sD)l9{a9Rn^oI6!%5dBuMgc
zOf|UOKT{UqxN6i@P~4<=)zBlk$%oP^$6BbfGqBI{O?wKWo`*0sW;$^TOF;@OXOD?$
zcXm|>k!b)Y-BaGSv*#uye%L)AEq)L<{%|IF1p1o-B6kzJUGEfE_K3nl;|=?Y)m6ho
z_Vgv*E-n+**B50^R0lQSbaBN&PRAFy=X1pc#yy}nbpNd?EE9cG6=rc(&zUO{b!GET
zr)i8*X#AA522g+2Q#$aAYDQ8TtJSdDQhcqX=R)(bE*=K0b5xD4I&1O}aHrR6Kisbw
z)k8q(BH;5dk9+pSUSl~O>#o^Tek`=7I}+KC^m7F{)Bace82vsW1lD)WPa9L@SU4QJ
z#W5?a`y5N>cYlpziRbMm#p52wlAIeHqebhfe5~`E=a}ypF?lz)4qbX1q(pf*DRJ*_
ecw!%eo#zjnwPqClXgALQ0000<MNUMnLSTZW8hR%H

diff --git a/html/bayesnet/classifiers/Classifier.h.func-c.html b/html/bayesnet/classifiers/Classifier.h.func-c.html
deleted file mode 100644
index 78d1c26..0000000
--- a/html/bayesnet/classifiers/Classifier.h.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.h<span style="font-size: 80%;"> (<a href="Classifier.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Classifier.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L31">bayesnet::Classifier::getVersion[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L36">bayesnet::Classifier::getNotes[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">80</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L30">bayesnet::Classifier::getStatus() const</a></td>
-              
-              <td class="coverFnHi">128</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L16">bayesnet::Classifier::~Classifier()</a></td>
-              
-              <td class="coverFnHi">1680</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Classifier.h.func.html b/html/bayesnet/classifiers/Classifier.h.func.html
deleted file mode 100644
index bb4a025..0000000
--- a/html/bayesnet/classifiers/Classifier.h.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.h<span style="font-size: 80%;"> (<a href="Classifier.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Classifier.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L36">bayesnet::Classifier::getNotes[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">80</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L30">bayesnet::Classifier::getStatus() const</a></td>
-              
-              <td class="coverFnHi">128</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L31">bayesnet::Classifier::getVersion[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Classifier.h.gcov.html#L16">bayesnet::Classifier::~Classifier()</a></td>
-              
-              <td class="coverFnHi">1680</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Classifier.h.gcov.frameset.html b/html/bayesnet/classifiers/Classifier.h.gcov.frameset.html
deleted file mode 100644
index 5ec80ed..0000000
--- a/html/bayesnet/classifiers/Classifier.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Classifier.h.gcov.overview.html" name="overview">
-          <frame src="Classifier.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/Classifier.h.gcov.html b/html/bayesnet/classifiers/Classifier.h.gcov.html
deleted file mode 100644
index 6d0578d..0000000
--- a/html/bayesnet/classifiers/Classifier.h.gcov.html
+++ /dev/null
@@ -1,149 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.h<span style="font-size: 80%;"> (source / <a href="Classifier.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef CLASSIFIER_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define CLASSIFIER_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;bayesnet/utils/BayesMetrics.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/network/Network.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : #include &quot;bayesnet/BaseClassifier.h&quot;</span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span>              : namespace bayesnet {</span>
-<span id="L15"><span class="lineNum">      15</span>              :     class Classifier : public BaseClassifier {</span>
-<span id="L16"><span class="lineNum">      16</span>              :     public:</span>
-<span id="L17"><span class="lineNum">      17</span>              :         Classifier(Network model);</span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC tlaBgGNC">        1680 :         virtual ~Classifier() = default;</span></span>
-<span id="L19"><span class="lineNum">      19</span>              :         Classifier&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         Classifier&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         Classifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L22"><span class="lineNum">      22</span>              :         Classifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights) override;</span>
-<span id="L23"><span class="lineNum">      23</span>              :         void addNodes();</span>
-<span id="L24"><span class="lineNum">      24</span>              :         int getNumberOfNodes() const override;</span>
-<span id="L25"><span class="lineNum">      25</span>              :         int getNumberOfEdges() const override;</span>
-<span id="L26"><span class="lineNum">      26</span>              :         int getNumberOfStates() const override;</span>
-<span id="L27"><span class="lineNum">      27</span>              :         int getClassNumStates() const override;</span>
-<span id="L28"><span class="lineNum">      28</span>              :         torch::Tensor predict(torch::Tensor&amp; X) override;</span>
-<span id="L29"><span class="lineNum">      29</span>              :         std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
-<span id="L30"><span class="lineNum">      30</span>              :         torch::Tensor predict_proba(torch::Tensor&amp; X) override;</span>
-<span id="L31"><span class="lineNum">      31</span>              :         std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">         128 :         status_t getStatus() const override { return status; }</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">          96 :         std::string getVersion() override { return { project_version.begin(), project_version.end() }; };</span></span>
-<span id="L34"><span class="lineNum">      34</span>              :         float score(torch::Tensor&amp; X, torch::Tensor&amp; y) override;</span>
-<span id="L35"><span class="lineNum">      35</span>              :         float score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) override;</span>
-<span id="L36"><span class="lineNum">      36</span>              :         std::vector&lt;std::string&gt; show() const override;</span>
-<span id="L37"><span class="lineNum">      37</span>              :         std::vector&lt;std::string&gt; topological_order()  override;</span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">          80 :         std::vector&lt;std::string&gt; getNotes() const override { return notes; }</span></span>
-<span id="L39"><span class="lineNum">      39</span>              :         std::string dump_cpt() const override;</span>
-<span id="L40"><span class="lineNum">      40</span>              :         void setHyperparameters(const nlohmann::json&amp; hyperparameters) override; //For classifiers that don't have hyperparameters</span>
-<span id="L41"><span class="lineNum">      41</span>              :     protected:</span>
-<span id="L42"><span class="lineNum">      42</span>              :         bool fitted;</span>
-<span id="L43"><span class="lineNum">      43</span>              :         unsigned int m, n; // m: number of samples, n: number of features</span>
-<span id="L44"><span class="lineNum">      44</span>              :         Network model;</span>
-<span id="L45"><span class="lineNum">      45</span>              :         Metrics metrics;</span>
-<span id="L46"><span class="lineNum">      46</span>              :         std::vector&lt;std::string&gt; features;</span>
-<span id="L47"><span class="lineNum">      47</span>              :         std::string className;</span>
-<span id="L48"><span class="lineNum">      48</span>              :         std::map&lt;std::string, std::vector&lt;int&gt;&gt; states;</span>
-<span id="L49"><span class="lineNum">      49</span>              :         torch::Tensor dataset; // (n+1)xm tensor</span>
-<span id="L50"><span class="lineNum">      50</span>              :         status_t status = NORMAL;</span>
-<span id="L51"><span class="lineNum">      51</span>              :         std::vector&lt;std::string&gt; notes; // Used to store messages occurred during the fit process</span>
-<span id="L52"><span class="lineNum">      52</span>              :         void checkFitParameters();</span>
-<span id="L53"><span class="lineNum">      53</span>              :         virtual void buildModel(const torch::Tensor&amp; weights) = 0;</span>
-<span id="L54"><span class="lineNum">      54</span>              :         void trainModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L55"><span class="lineNum">      55</span>              :         void buildDataset(torch::Tensor&amp; y);</span>
-<span id="L56"><span class="lineNum">      56</span>              :     private:</span>
-<span id="L57"><span class="lineNum">      57</span>              :         Classifier&amp; build(const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights);</span>
-<span id="L58"><span class="lineNum">      58</span>              :     };</span>
-<span id="L59"><span class="lineNum">      59</span>              : }</span>
-<span id="L60"><span class="lineNum">      60</span>              : #endif</span>
-<span id="L61"><span class="lineNum">      61</span>              : </span>
-<span id="L62"><span class="lineNum">      62</span>              : </span>
-<span id="L63"><span class="lineNum">      63</span>              : </span>
-<span id="L64"><span class="lineNum">      64</span>              : </span>
-<span id="L65"><span class="lineNum">      65</span>              : </span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Classifier.h.gcov.overview.html b/html/bayesnet/classifiers/Classifier.h.gcov.overview.html
deleted file mode 100644
index 1810955..0000000
--- a/html/bayesnet/classifiers/Classifier.h.gcov.overview.html
+++ /dev/null
@@ -1,37 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Classifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Classifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Classifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Classifier.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Classifier.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Classifier.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Classifier.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Classifier.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Classifier.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Classifier.h.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Classifier.h.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Classifier.h.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Classifier.h.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Classifier.h.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Classifier.h.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Classifier.h.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Classifier.h.gcov.html#L53" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Classifier.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Classifier.h.gcov.png" width=80 height=64 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/Classifier.h.gcov.png b/html/bayesnet/classifiers/Classifier.h.gcov.png
deleted file mode 100644
index aad5b614c1c20cf63cd39a4f086005bf0ed1caf8..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 453
zcmV;$0XqJPP)<h;3K|Lk000e1NJLTq002+`002P*0{{R3w6#8<0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<SQ%OWY
zR7i>4l~ERiAP7Zc2e^gYf$o2AQ!0oG%FO5RQP#QQdq{Z&2>ZBN3?S4CK3Aj{IDsf8
zt1)Cmo__#$8r{LVPgB1ES*9D@>R&;lLMwRCdJNjW01mV@0C1)BS+;(4d2TZcx}V57
zr(7bH`>h0ljEac-D&^Rh#x4NGfW|6VpZW{7`vnNT%^S0UJ?9sYwCQ{02PfN9%7vD7
znF0sNYepmKoJRY3a8tzGu92GP9Yni(Iu}JFrQAT#W87SIkSJr-h^r`Ww(5K_1G}Q@
zj;|4BGo-8;D*|6bshXc%xB9H#S6h1gkxx5Cn;67q9%BFHPp;uD9AGUEQ1#kSfXDMl
zf{w3nF8CHihx@gL^?)@%<eo8|QP=2cY%^HScHqBN5dA3j`j8Pjj6L_OW&~AeY}{q(
vf|*u!!e-YvR-7M@>*`GBJ>4$9z(0x)4`*<fvLQ0w00000NkvXXu0mjfO~%D{

diff --git a/html/bayesnet/classifiers/KDB.cc.func-c.html b/html/bayesnet/classifiers/KDB.cc.func-c.html
deleted file mode 100644
index 1f987a6..0000000
--- a/html/bayesnet/classifiers/KDB.cc.func-c.html
+++ /dev/null
@@ -1,118 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.cc<span style="font-size: 80%;"> (<a href="KDB.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">96.3&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">52</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="KDB.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L101">bayesnet::KDB::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L13">bayesnet::KDB::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L26">bayesnet::KDB::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">52</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L8">bayesnet::KDB::KDB(int, float)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L77">bayesnet::KDB::add_m_edges(int, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">344</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDB.cc.func.html b/html/bayesnet/classifiers/KDB.cc.func.html
deleted file mode 100644
index 2a880ae..0000000
--- a/html/bayesnet/classifiers/KDB.cc.func.html
+++ /dev/null
@@ -1,118 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.cc<span style="font-size: 80%;"> (<a href="KDB.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">96.3&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">52</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDB.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L8">bayesnet::KDB::KDB(int, float)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L77">bayesnet::KDB::add_m_edges(int, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">344</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L26">bayesnet::KDB::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">52</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L101">bayesnet::KDB::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.cc.gcov.html#L13">bayesnet::KDB::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDB.cc.gcov.frameset.html b/html/bayesnet/classifiers/KDB.cc.gcov.frameset.html
deleted file mode 100644
index c87890b..0000000
--- a/html/bayesnet/classifiers/KDB.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="KDB.cc.gcov.overview.html" name="overview">
-          <frame src="KDB.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/KDB.cc.gcov.html b/html/bayesnet/classifiers/KDB.cc.gcov.html
deleted file mode 100644
index 910f3e9..0000000
--- a/html/bayesnet/classifiers/KDB.cc.gcov.html
+++ /dev/null
@@ -1,195 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.cc<span style="font-size: 80%;"> (source / <a href="KDB.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">96.3&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">52</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;KDB.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">         148 :     KDB::KDB(int k, float theta) : Classifier(Network()), k(k), theta(theta)</span></span>
-<span id="L11"><span class="lineNum">      11</span>              :     {</span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">         444 :         validHyperparameters = { &quot;k&quot;, &quot;theta&quot; };</span></span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">         444 :     }</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          12 :     void KDB::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :     {</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          12 :         auto hyperparameters = hyperparameters_;</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          12 :         if (hyperparameters.contains(&quot;k&quot;)) {</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">           4 :             k = hyperparameters[&quot;k&quot;];</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">           4 :             hyperparameters.erase(&quot;k&quot;);</span></span>
-<span id="L21"><span class="lineNum">      21</span>              :         }</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          12 :         if (hyperparameters.contains(&quot;theta&quot;)) {</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">           4 :             theta = hyperparameters[&quot;theta&quot;];</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">           4 :             hyperparameters.erase(&quot;theta&quot;);</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :         }</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          12 :         Classifier::setHyperparameters(hyperparameters);</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">          12 :     }</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          52 :     void KDB::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :     {</span>
-<span id="L30"><span class="lineNum">      30</span>              :         /*</span>
-<span id="L31"><span class="lineNum">      31</span>              :         1. For each feature Xi, compute mutual information, I(X;C),</span>
-<span id="L32"><span class="lineNum">      32</span>              :         where C is the class.</span>
-<span id="L33"><span class="lineNum">      33</span>              :         2. Compute class conditional mutual information I(Xi;XjIC), f or each</span>
-<span id="L34"><span class="lineNum">      34</span>              :         pair of features Xi and Xj, where i#j.</span>
-<span id="L35"><span class="lineNum">      35</span>              :         3. Let the used variable list, S, be empty.</span>
-<span id="L36"><span class="lineNum">      36</span>              :         4. Let the DAG network being constructed, BN, begin with a single</span>
-<span id="L37"><span class="lineNum">      37</span>              :         class node, C.</span>
-<span id="L38"><span class="lineNum">      38</span>              :         5. Repeat until S includes all domain features</span>
-<span id="L39"><span class="lineNum">      39</span>              :         5.1. Select feature Xmax which is not in S and has the largest value</span>
-<span id="L40"><span class="lineNum">      40</span>              :         I(Xmax;C).</span>
-<span id="L41"><span class="lineNum">      41</span>              :         5.2. Add a node to BN representing Xmax.</span>
-<span id="L42"><span class="lineNum">      42</span>              :         5.3. Add an arc from C to Xmax in BN.</span>
-<span id="L43"><span class="lineNum">      43</span>              :         5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span>
-<span id="L44"><span class="lineNum">      44</span>              :         the highest value for I(Xmax;X,jC).</span>
-<span id="L45"><span class="lineNum">      45</span>              :         5.5. Add Xmax to S.</span>
-<span id="L46"><span class="lineNum">      46</span>              :         Compute the conditional probabilility infered by the structure of BN by</span>
-<span id="L47"><span class="lineNum">      47</span>              :         using counts from DB, and output BN.</span>
-<span id="L48"><span class="lineNum">      48</span>              :         */</span>
-<span id="L49"><span class="lineNum">      49</span>              :         // 1. For each feature Xi, compute mutual information, I(X;C),</span>
-<span id="L50"><span class="lineNum">      50</span>              :         // where C is the class.</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">          52 :         addNodes();</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">         156 :         const torch::Tensor&amp; y = dataset.index({ -1, &quot;...&quot; });</span></span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">          52 :         std::vector&lt;double&gt; mi;</span></span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">         396 :         for (auto i = 0; i &lt; features.size(); i++) {</span></span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">        1032 :             torch::Tensor firstFeature = dataset.index({ i, &quot;...&quot; });</span></span>
-<span id="L56"><span class="lineNum">      56</span> <span class="tlaGNC">         344 :             mi.push_back(metrics.mutualInformation(firstFeature, y, weights));</span></span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">         344 :         }</span></span>
-<span id="L58"><span class="lineNum">      58</span>              :         // 2. Compute class conditional mutual information I(Xi;XjIC), f or each</span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">          52 :         auto conditionalEdgeWeights = metrics.conditionalEdge(weights);</span></span>
-<span id="L60"><span class="lineNum">      60</span>              :         // 3. Let the used variable list, S, be empty.</span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">          52 :         std::vector&lt;int&gt; S;</span></span>
-<span id="L62"><span class="lineNum">      62</span>              :         // 4. Let the DAG network being constructed, BN, begin with a single</span>
-<span id="L63"><span class="lineNum">      63</span>              :         // class node, C.</span>
-<span id="L64"><span class="lineNum">      64</span>              :         // 5. Repeat until S includes all domain features</span>
-<span id="L65"><span class="lineNum">      65</span>              :         // 5.1. Select feature Xmax which is not in S and has the largest value</span>
-<span id="L66"><span class="lineNum">      66</span>              :         // I(Xmax;C).</span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">          52 :         auto order = argsort(mi);</span></span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">         396 :         for (auto idx : order) {</span></span>
-<span id="L69"><span class="lineNum">      69</span>              :             // 5.2. Add a node to BN representing Xmax.</span>
-<span id="L70"><span class="lineNum">      70</span>              :             // 5.3. Add an arc from C to Xmax in BN.</span>
-<span id="L71"><span class="lineNum">      71</span> <span class="tlaGNC">         344 :             model.addEdge(className, features[idx]);</span></span>
-<span id="L72"><span class="lineNum">      72</span>              :             // 5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span>
-<span id="L73"><span class="lineNum">      73</span>              :             // the highest value for I(Xmax;X,jC).</span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">         344 :             add_m_edges(idx, S, conditionalEdgeWeights);</span></span>
-<span id="L75"><span class="lineNum">      75</span>              :             // 5.5. Add Xmax to S.</span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">         344 :             S.push_back(idx);</span></span>
-<span id="L77"><span class="lineNum">      77</span>              :         }</span>
-<span id="L78"><span class="lineNum">      78</span> <span class="tlaGNC">         448 :     }</span></span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">         344 :     void KDB::add_m_edges(int idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights)</span></span>
-<span id="L80"><span class="lineNum">      80</span>              :     {</span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">         344 :         auto n_edges = std::min(k, static_cast&lt;int&gt;(S.size()));</span></span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">         344 :         auto cond_w = clone(weights);</span></span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">         344 :         bool exit_cond = k == 0;</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">         344 :         int num = 0;</span></span>
-<span id="L85"><span class="lineNum">      85</span> <span class="tlaGNC">        1004 :         while (!exit_cond) {</span></span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">        2640 :             auto max_minfo = argmax(cond_w.index({ idx, &quot;...&quot; })).item&lt;int&gt;();</span></span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">         660 :             auto belongs = find(S.begin(), S.end(), max_minfo) != S.end();</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">        1764 :             if (belongs &amp;&amp; cond_w.index({ idx, max_minfo }).item&lt;float&gt;() &gt; theta) {</span></span>
-<span id="L89"><span class="lineNum">      89</span>              :                 try {</span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">         320 :                     model.addEdge(features[max_minfo], features[idx]);</span></span>
-<span id="L91"><span class="lineNum">      91</span> <span class="tlaGNC">         320 :                     num++;</span></span>
-<span id="L92"><span class="lineNum">      92</span>              :                 }</span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaUNC tlaBgUNC">           0 :                 catch (const std::invalid_argument&amp; e) {</span></span>
-<span id="L94"><span class="lineNum">      94</span>              :                     // Loops are not allowed</span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaUNC">           0 :                 }</span></span>
-<span id="L96"><span class="lineNum">      96</span>              :             }</span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC tlaBgGNC">        2640 :             cond_w.index_put_({ idx, max_minfo }, -1);</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">        1980 :             auto candidates_mask = cond_w.index({ idx, &quot;...&quot; }).gt(theta);</span></span>
-<span id="L99"><span class="lineNum">      99</span> <span class="tlaGNC">         660 :             auto candidates = candidates_mask.nonzero();</span></span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">         660 :             exit_cond = num == n_edges || candidates.size(0) == 0;</span></span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">         660 :         }</span></span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">        2692 :     }</span></span>
-<span id="L103"><span class="lineNum">     103</span> <span class="tlaGNC">           8 :     std::vector&lt;std::string&gt; KDB::graph(const std::string&amp; title) const</span></span>
-<span id="L104"><span class="lineNum">     104</span>              :     {</span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">           8 :         std::string header{ title };</span></span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">           8 :         if (title == &quot;KDB&quot;) {</span></span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">           8 :             header += &quot; (k=&quot; + std::to_string(k) + &quot;, theta=&quot; + std::to_string(theta) + &quot;)&quot;;</span></span>
-<span id="L108"><span class="lineNum">     108</span>              :         }</span>
-<span id="L109"><span class="lineNum">     109</span> <span class="tlaGNC">          16 :         return model.graph(header);</span></span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">           8 :     }</span></span>
-<span id="L111"><span class="lineNum">     111</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDB.cc.gcov.overview.html b/html/bayesnet/classifiers/KDB.cc.gcov.overview.html
deleted file mode 100644
index 4ee7aca..0000000
--- a/html/bayesnet/classifiers/KDB.cc.gcov.overview.html
+++ /dev/null
@@ -1,48 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="KDB.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="KDB.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="KDB.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="KDB.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="KDB.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="KDB.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="KDB.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="KDB.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="KDB.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="KDB.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="KDB.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="KDB.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="KDB.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="KDB.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="KDB.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="KDB.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="KDB.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="KDB.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="KDB.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="KDB.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="KDB.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="KDB.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="KDB.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="KDB.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="KDB.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="KDB.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="KDB.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="KDB.cc.gcov.html#L97" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="KDB.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="KDB.cc.gcov.png" width=80 height=110 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/KDB.cc.gcov.png b/html/bayesnet/classifiers/KDB.cc.gcov.png
deleted file mode 100644
index 1e8717528aa9f23720a7ec9fed3f022317b5778a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 814
zcmV+}1JV46P)<h;3K|Lk000e1NJLTq002+`003_U0{{R3i4$7p0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<Tyh%hs
zR9J<zSBH_rAPh7e;1)~=(865@NB^xnRzhU#nb*(z(y~Hnv5(W7b34cipuvkxSIb}6
z3TV~ht`&?{)-QmwJ#HJv@Oa^r5mI3m!0QTN&WGUdR~N+St7O-efd1OC<Gy4Lmk2#@
zb%C3V+pd$tP?)P;!&64h=?az>Soscaz?j^7mFBT)oyidrfIH#z_t@E`xYoPudGGD9
zyUT}r99RW>*A(>DH&xtcgaO;0L?g<?`ea0qw8*4S7QhqfVMgFEB6Y$?9F`dkYJf%O
zcBC-i){tNTey|Gy78_t{qt~4H<yLwCO1?Ro4v>GdyhnSxRNE2YrjmlcJ8I05=I8(|
z#%R&?jFIa?IXSro#^ghZ0<l!JVaZP_j9K)=ab_~6gnvVaqfl@QQct9JBgTct45Zv}
z0dq@MhZ@uk!DDg}fW<HpkQK_gtn}`_)Ib)eF)sq|LoexG=JSn07P9BrKfCwYNnane
z^y2Er8jdF_`Szk}biIGBPOeakxnx)vJw(dH;G&ms-uT8IiBsK2P;ESt=cYK<4SwL5
z8W}29(q<tknc*RXA+T0D-trn8jfG>$BUN}5c<vqyuXFY*ARNSqOo?(_$AVmkgM*CX
z-i|CW>c*ninQQ4DDhL(dr4QM)NWJOb+m^0f(PKl`09>R;_vje7IWw<r6}<W&fkBSm
z+&?-!qD^!eC}TRgEhHM}#%Yv(^kYcD$P>B%D(AY}@`$sVRdI{7NHQ<o6wr8O+C_g^
z%`l*O;?+Y%sI8cZ61c;-s`&9Ci}4p@{6?`~{C<=j`R$GR!e5M^#sv6lf9nBPumr49
zBf0iHvF|<l;0h<1EP>S-(`5t{R$IwM?&N=(>$VT%OcLdN@sKO$+YIQay(i6^)8pV!
s$jXC<y=3a~qm&Y~A#gM5J=k^q0dL?B9mwV>HUIzs07*qoM6N<$g7u4utpET3

diff --git a/html/bayesnet/classifiers/KDB.h.func-c.html b/html/bayesnet/classifiers/KDB.h.func-c.html
deleted file mode 100644
index 6c28413..0000000
--- a/html/bayesnet/classifiers/KDB.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.h<span style="font-size: 80%;"> (<a href="KDB.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="KDB.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.h.gcov.html#L20">bayesnet::KDB::~KDB()</a></td>
-              
-              <td class="coverFnHi">44</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDB.h.func.html b/html/bayesnet/classifiers/KDB.h.func.html
deleted file mode 100644
index 76df4e6..0000000
--- a/html/bayesnet/classifiers/KDB.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.h<span style="font-size: 80%;"> (<a href="KDB.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDB.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDB.h.gcov.html#L20">bayesnet::KDB::~KDB()</a></td>
-              
-              <td class="coverFnHi">44</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDB.h.gcov.frameset.html b/html/bayesnet/classifiers/KDB.h.gcov.frameset.html
deleted file mode 100644
index a03d09b..0000000
--- a/html/bayesnet/classifiers/KDB.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="KDB.h.gcov.overview.html" name="overview">
-          <frame src="KDB.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/KDB.h.gcov.html b/html/bayesnet/classifiers/KDB.h.gcov.html
deleted file mode 100644
index b054798..0000000
--- a/html/bayesnet/classifiers/KDB.h.gcov.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.h<span style="font-size: 80%;"> (source / <a href="KDB.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef KDB_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define KDB_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;Classifier.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class KDB : public Classifier {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     private:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         int k;</span>
-<span id="L16"><span class="lineNum">      16</span>              :         float theta;</span>
-<span id="L17"><span class="lineNum">      17</span>              :         void add_m_edges(int idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights);</span>
-<span id="L18"><span class="lineNum">      18</span>              :     protected:</span>
-<span id="L19"><span class="lineNum">      19</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :     public:</span>
-<span id="L21"><span class="lineNum">      21</span>              :         explicit KDB(int k, float theta = 0.03);</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC tlaBgGNC">          44 :         virtual ~KDB() = default;</span></span>
-<span id="L23"><span class="lineNum">      23</span>              :         void setHyperparameters(const nlohmann::json&amp; hyperparameters_) override;</span>
-<span id="L24"><span class="lineNum">      24</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;KDB&quot;) const override;</span>
-<span id="L25"><span class="lineNum">      25</span>              :     };</span>
-<span id="L26"><span class="lineNum">      26</span>              : }</span>
-<span id="L27"><span class="lineNum">      27</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDB.h.gcov.overview.html b/html/bayesnet/classifiers/KDB.h.gcov.overview.html
deleted file mode 100644
index 346dd56..0000000
--- a/html/bayesnet/classifiers/KDB.h.gcov.overview.html
+++ /dev/null
@@ -1,27 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="KDB.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="KDB.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="KDB.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="KDB.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="KDB.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="KDB.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="KDB.h.gcov.html#L13" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="KDB.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="KDB.h.gcov.png" width=80 height=26 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/KDB.h.gcov.png b/html/bayesnet/classifiers/KDB.h.gcov.png
deleted file mode 100644
index 835cfa8a165580ddc4862ec2e7f3119abe6aa75f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 279
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIx!VDxO7l;}HDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;8IT)#}JF&xj~J*hZT5~<!6ZB;y?9&
zzplWfOI?lT-mD>##|=FrKS`~8>?jhwK>H7SoD0wN<rNxA@A5me`%TW=``%SAcv#K1
z=b8DD(pr9N?uS9eZQRL%mh)G6O*-<|!{Q?IB)hn^hZEODDcRfnUE2{LHziN%^A*2b
zDW=&IGPBzkO(}X=KJRP6nTwrMAMJ?SExV{h?$(D;-HsWvvs!!FaxFF{)-xo3Q~ucY
T;{F1lgBd(s{an^LB{Ts5cVKKE

diff --git a/html/bayesnet/classifiers/KDBLd.cc.func-c.html b/html/bayesnet/classifiers/KDBLd.cc.func-c.html
deleted file mode 100644
index b1b6ed0..0000000
--- a/html/bayesnet/classifiers/KDBLd.cc.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.cc<span style="font-size: 80%;"> (<a href="KDBLd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">17</td>
-            <td class="headerCovTableEntry">17</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="KDBLd.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L29">bayesnet::KDBLd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L24">bayesnet::KDBLd::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L9">bayesnet::KDBLd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L8">bayesnet::KDBLd::KDBLd(int)</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDBLd.cc.func.html b/html/bayesnet/classifiers/KDBLd.cc.func.html
deleted file mode 100644
index 3a04439..0000000
--- a/html/bayesnet/classifiers/KDBLd.cc.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.cc<span style="font-size: 80%;"> (<a href="KDBLd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">17</td>
-            <td class="headerCovTableEntry">17</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDBLd.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L8">bayesnet::KDBLd::KDBLd(int)</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L9">bayesnet::KDBLd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L29">bayesnet::KDBLd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.cc.gcov.html#L24">bayesnet::KDBLd::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDBLd.cc.gcov.frameset.html b/html/bayesnet/classifiers/KDBLd.cc.gcov.frameset.html
deleted file mode 100644
index 8f6d341..0000000
--- a/html/bayesnet/classifiers/KDBLd.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="KDBLd.cc.gcov.overview.html" name="overview">
-          <frame src="KDBLd.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/KDBLd.cc.gcov.html b/html/bayesnet/classifiers/KDBLd.cc.gcov.html
deleted file mode 100644
index 0375be3..0000000
--- a/html/bayesnet/classifiers/KDBLd.cc.gcov.html
+++ /dev/null
@@ -1,119 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.cc<span style="font-size: 80%;"> (source / <a href="KDBLd.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">17</td>
-            <td class="headerCovTableEntry">17</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;KDBLd.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">          68 :     KDBLd::KDBLd(int k) : KDB(k), Proposal(dataset, features, className) {}</span></span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC">          20 :     KDBLd&amp; KDBLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
-<span id="L12"><span class="lineNum">      12</span>              :     {</span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">          20 :         checkInput(X_, y_);</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">          20 :         features = features_;</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          20 :         className = className_;</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">          20 :         Xf = X_;</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          20 :         y = y_;</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          20 :         states = fit_local_discretization(y);</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :         // We have discretized the input data</span>
-<span id="L21"><span class="lineNum">      21</span>              :         // 1st we need to fit the model to build the normal KDB structure, KDB::fit initializes the base Bayesian network</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          20 :         KDB::fit(dataset, features, className, states);</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          20 :         states = localDiscretizationProposal(states, model);</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">          20 :         return *this;</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :     }</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          16 :     torch::Tensor KDBLd::predict(torch::Tensor&amp; X)</span></span>
-<span id="L27"><span class="lineNum">      27</span>              :     {</span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          16 :         auto Xt = prepareX(X);</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">          32 :         return KDB::predict(Xt);</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">          16 :     }</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; KDBLd::graph(const std::string&amp; name) const</span></span>
-<span id="L32"><span class="lineNum">      32</span>              :     {</span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">           4 :         return KDB::graph(name);</span></span>
-<span id="L34"><span class="lineNum">      34</span>              :     }</span>
-<span id="L35"><span class="lineNum">      35</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDBLd.cc.gcov.overview.html b/html/bayesnet/classifiers/KDBLd.cc.gcov.overview.html
deleted file mode 100644
index 93ed692..0000000
--- a/html/bayesnet/classifiers/KDBLd.cc.gcov.overview.html
+++ /dev/null
@@ -1,29 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="KDBLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="KDBLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="KDBLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="KDBLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="KDBLd.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="KDBLd.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="KDBLd.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="KDBLd.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="KDBLd.cc.gcov.html#L21" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="KDBLd.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="KDBLd.cc.gcov.png" width=80 height=34 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/KDBLd.cc.gcov.png b/html/bayesnet/classifiers/KDBLd.cc.gcov.png
deleted file mode 100644
index 286a27019b0764dc207924edb2c64e4ed899a1d1..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 333
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$G!VDxoc24*Rq$C1-LR|m<|Gx?dmcNgUef6J#
zVHHpuOr7)IycEdhEbxddW?<ku0>X?_wfUrhg10?g978O6*G}o?Wme>9>*p<Dz1eWP
ze)}R0*T<VRb3OO`{_%9Go#3Ne^Rjq39x?r1!0*J)CT_FE%`oB*Tg=mnoUp^CPrNp6
zVKPhb$~RR>@~=`U{-dVK__4IDYRQ>Qh2|dl8<XdH>L&3VDY`$$WP-{}O-+T<vQJNB
z-R@eosH`Jm&Jt&p^ApzCUOKsKYBTpLrIjjOzZi5rw{h6y|9i?`ub405VtK0SXPf!s
zx9{gaS@DJ;#&>DcaqowpivPZJFWsFMQJ!R16n<vb9{p#xt>b6soYp`3$N2cq|1sI}
Y2M^EZc3bCp7U)d|Pgg&ebxsLQ02nokZ2$lO

diff --git a/html/bayesnet/classifiers/KDBLd.h.func-c.html b/html/bayesnet/classifiers/KDBLd.h.func-c.html
deleted file mode 100644
index ca49f19..0000000
--- a/html/bayesnet/classifiers/KDBLd.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.h<span style="font-size: 80%;"> (<a href="KDBLd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="KDBLd.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.h.gcov.html#L15">bayesnet::KDBLd::~KDBLd()</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDBLd.h.func.html b/html/bayesnet/classifiers/KDBLd.h.func.html
deleted file mode 100644
index ca196e4..0000000
--- a/html/bayesnet/classifiers/KDBLd.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.h<span style="font-size: 80%;"> (<a href="KDBLd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDBLd.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="KDBLd.h.gcov.html#L15">bayesnet::KDBLd::~KDBLd()</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDBLd.h.gcov.frameset.html b/html/bayesnet/classifiers/KDBLd.h.gcov.frameset.html
deleted file mode 100644
index 82ae19e..0000000
--- a/html/bayesnet/classifiers/KDBLd.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="KDBLd.h.gcov.overview.html" name="overview">
-          <frame src="KDBLd.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/KDBLd.h.gcov.html b/html/bayesnet/classifiers/KDBLd.h.gcov.html
deleted file mode 100644
index df42bea..0000000
--- a/html/bayesnet/classifiers/KDBLd.h.gcov.html
+++ /dev/null
@@ -1,108 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.h<span style="font-size: 80%;"> (source / <a href="KDBLd.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef KDBLD_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define KDBLD_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;Proposal.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;KDB.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : </span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class KDBLd : public KDB, public Proposal {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     private:</span>
-<span id="L15"><span class="lineNum">      15</span>              :     public:</span>
-<span id="L16"><span class="lineNum">      16</span>              :         explicit KDBLd(int k);</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">          20 :         virtual ~KDBLd() = default;</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         KDBLd&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;KDB&quot;) const override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         torch::Tensor predict(torch::Tensor&amp; X) override;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         static inline std::string version() { return &quot;0.0.1&quot;; };</span>
-<span id="L22"><span class="lineNum">      22</span>              :     };</span>
-<span id="L23"><span class="lineNum">      23</span>              : }</span>
-<span id="L24"><span class="lineNum">      24</span>              : #endif // !KDBLD_H</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/KDBLd.h.gcov.overview.html b/html/bayesnet/classifiers/KDBLd.h.gcov.overview.html
deleted file mode 100644
index 531b1ee..0000000
--- a/html/bayesnet/classifiers/KDBLd.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="KDBLd.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="KDBLd.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="KDBLd.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="KDBLd.h.gcov.png" width=80 height=23 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/KDBLd.h.gcov.png b/html/bayesnet/classifiers/KDBLd.h.gcov.png
deleted file mode 100644
index d6405077fd60f86a990aa36ffd06cdaa68da103a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 265
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIl!VDzmo21VNaRPioT>t<7zX}MJzmJW5^`C)Z
z6;K>Zo%7zj6v*Z*@Q5sCVBk9f!i-b3`J{n@(>+}rLo_DNoz%#CK!Jm$w7I->m*dU)
z?MbXhj)h(F&+4%J`g?+x-hHn{oM&no*I(eZaoBO#+t>Wix%>nA{fV7>zpMXmNGd+8
zC9!qa^tRX{hE#zK&rFpgB>9$0ai!nUZ2rtAtD|J~b8%F3sm{^_=e)U5_gZr&+uEL8
z_pPh@j<Y6T%khmltIqs6kXZR^Kle6EsYD}Z>32-JE($l}_s0eToyg$n>gTe~DWM4f
DrkG_O

diff --git a/html/bayesnet/classifiers/Proposal.cc.func-c.html b/html/bayesnet/classifiers/Proposal.cc.func-c.html
deleted file mode 100644
index b6fcac4..0000000
--- a/html/bayesnet/classifiers/Proposal.cc.func-c.html
+++ /dev/null
@@ -1,139 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Proposal.cc<span style="font-size: 80%;"> (<a href="Proposal.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.7&nbsp;%</td>
-            <td class="headerCovTableEntry">86</td>
-            <td class="headerCovTableEntry">84</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">8</td>
-            <td class="headerCovTableEntry">8</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Proposal.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L104">bayesnet::Proposal::prepareX(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">168</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L10">bayesnet::Proposal::~Proposal()</a></td>
-              
-              <td class="coverFnHi">200</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L25">bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)</a></td>
-              
-              <td class="coverFnHi">212</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L16">bayesnet::Proposal::checkInput(at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">228</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L77">bayesnet::Proposal::fit_local_discretization[abi:cxx11](at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">232</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L9">bayesnet::Proposal::Proposal(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">424</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L47">auto bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)::{lambda(auto:1 const&amp;)#2}::operator()&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">1372</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L41">auto bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">2696</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Proposal.cc.func.html b/html/bayesnet/classifiers/Proposal.cc.func.html
deleted file mode 100644
index 01294d6..0000000
--- a/html/bayesnet/classifiers/Proposal.cc.func.html
+++ /dev/null
@@ -1,139 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Proposal.cc<span style="font-size: 80%;"> (<a href="Proposal.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.7&nbsp;%</td>
-            <td class="headerCovTableEntry">86</td>
-            <td class="headerCovTableEntry">84</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">8</td>
-            <td class="headerCovTableEntry">8</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Proposal.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L41">auto bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">2696</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L47">auto bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)::{lambda(auto:1 const&amp;)#2}::operator()&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">1372</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L9">bayesnet::Proposal::Proposal(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">424</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L16">bayesnet::Proposal::checkInput(at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">228</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L77">bayesnet::Proposal::fit_local_discretization[abi:cxx11](at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">232</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L25">bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)</a></td>
-              
-              <td class="coverFnHi">212</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L104">bayesnet::Proposal::prepareX(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">168</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Proposal.cc.gcov.html#L10">bayesnet::Proposal::~Proposal()</a></td>
-              
-              <td class="coverFnHi">200</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Proposal.cc.gcov.frameset.html b/html/bayesnet/classifiers/Proposal.cc.gcov.frameset.html
deleted file mode 100644
index 5eb6be5..0000000
--- a/html/bayesnet/classifiers/Proposal.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Proposal.cc.gcov.overview.html" name="overview">
-          <frame src="Proposal.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/Proposal.cc.gcov.html b/html/bayesnet/classifiers/Proposal.cc.gcov.html
deleted file mode 100644
index fa0ef3f..0000000
--- a/html/bayesnet/classifiers/Proposal.cc.gcov.html
+++ /dev/null
@@ -1,200 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Proposal.cc<span style="font-size: 80%;"> (source / <a href="Proposal.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.7&nbsp;%</td>
-            <td class="headerCovTableEntry">86</td>
-            <td class="headerCovTableEntry">84</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">8</td>
-            <td class="headerCovTableEntry">8</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;ArffFiles.h&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;Proposal.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : </span>
-<span id="L10"><span class="lineNum">      10</span>              : namespace bayesnet {</span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">         424 :     Proposal::Proposal(torch::Tensor&amp; dataset_, std::vector&lt;std::string&gt;&amp; features_, std::string&amp; className_) : pDataset(dataset_), pFeatures(features_), pClassName(className_) {}</span></span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">         200 :     Proposal::~Proposal()</span></span>
-<span id="L13"><span class="lineNum">      13</span>              :     {</span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">        1896 :         for (auto&amp; [key, value] : discretizers) {</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">        1696 :             delete value;</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         }</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">         200 :     }</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">         228 :     void Proposal::checkInput(const torch::Tensor&amp; X, const torch::Tensor&amp; y)</span></span>
-<span id="L19"><span class="lineNum">      19</span>              :     {</span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">         228 :         if (!torch::is_floating_point(X)) {</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaUNC tlaBgUNC">           0 :             throw std::invalid_argument(&quot;X must be a floating point tensor&quot;);</span></span>
-<span id="L22"><span class="lineNum">      22</span>              :         }</span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC tlaBgGNC">         228 :         if (torch::is_floating_point(y)) {</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaUNC tlaBgUNC">           0 :             throw std::invalid_argument(&quot;y must be an integer tensor&quot;);</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :         }</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC tlaBgGNC">         228 :     }</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">         212 :     map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::localDiscretizationProposal(const map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; oldStates, Network&amp; model)</span></span>
-<span id="L28"><span class="lineNum">      28</span>              :     {</span>
-<span id="L29"><span class="lineNum">      29</span>              :         // order of local discretization is important. no good 0, 1, 2...</span>
-<span id="L30"><span class="lineNum">      30</span>              :         // although we rediscretize features after the local discretization of every feature</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">         212 :         auto order = model.topological_sort();</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">         212 :         auto&amp; nodes = model.getNodes();</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">         212 :         map&lt;std::string, std::vector&lt;int&gt;&gt; states = oldStates;</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">         212 :         std::vector&lt;int&gt; indicesToReDiscretize;</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">         212 :         bool upgrade = false; // Flag to check if we need to upgrade the model</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">        1776 :         for (auto feature : order) {</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">        1564 :             auto nodeParents = nodes[feature]-&gt;getParents();</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">        1564 :             if (nodeParents.size() &lt; 2) continue; // Only has class as parent</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">        1324 :             upgrade = true;</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">        1324 :             int index = find(pFeatures.begin(), pFeatures.end(), feature) - pFeatures.begin();</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">        1324 :             indicesToReDiscretize.push_back(index); // We need to re-discretize this feature</span></span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">        1324 :             std::vector&lt;std::string&gt; parents;</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">        4020 :             transform(nodeParents.begin(), nodeParents.end(), back_inserter(parents), [](const auto&amp; p) { return p-&gt;getName(); });</span></span>
-<span id="L44"><span class="lineNum">      44</span>              :             // Remove class as parent as it will be added later</span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">        1324 :             parents.erase(remove(parents.begin(), parents.end(), pClassName), parents.end());</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :             // Get the indices of the parents</span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">        1324 :             std::vector&lt;int&gt; indices;</span></span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">        1324 :             indices.push_back(-1); // Add class index</span></span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">        2696 :             transform(parents.begin(), parents.end(), back_inserter(indices), [&amp;](const auto&amp; p) {return find(pFeatures.begin(), pFeatures.end(), p) - pFeatures.begin(); });</span></span>
-<span id="L50"><span class="lineNum">      50</span>              :             // Now we fit the discretizer of the feature, conditioned on its parents and the class i.e. discretizer.fit(X[index], X[indices] + y)</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">        1324 :             std::vector&lt;std::string&gt; yJoinParents(Xf.size(1));</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">        4020 :             for (auto idx : indices) {</span></span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">      958640 :                 for (int i = 0; i &lt; Xf.size(1); ++i) {</span></span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">     2867832 :                     yJoinParents[i] += to_string(pDataset.index({ idx, i }).item&lt;int&gt;());</span></span>
-<span id="L55"><span class="lineNum">      55</span>              :                 }</span>
-<span id="L56"><span class="lineNum">      56</span>              :             }</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">        1324 :             auto arff = ArffFiles();</span></span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">        1324 :             auto yxv = arff.factorize(yJoinParents);</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">        2648 :             auto xvf_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</span></span>
-<span id="L60"><span class="lineNum">      60</span> <span class="tlaGNC">        1324 :             auto xvf = std::vector&lt;mdlp::precision_t&gt;(xvf_ptr, xvf_ptr + Xf.size(1));</span></span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">        1324 :             discretizers[feature]-&gt;fit(xvf, yxv);</span></span>
-<span id="L62"><span class="lineNum">      62</span> <span class="tlaGNC">        1804 :         }</span></span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">         212 :         if (upgrade) {</span></span>
-<span id="L64"><span class="lineNum">      64</span>              :             // Discretize again X (only the affected indices) with the new fitted discretizers</span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">        1536 :             for (auto index : indicesToReDiscretize) {</span></span>
-<span id="L66"><span class="lineNum">      66</span> <span class="tlaGNC">        2648 :                 auto Xt_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</span></span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">        1324 :                 auto Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</span></span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">        5296 :                 pDataset.index_put_({ index, &quot;...&quot; }, torch::tensor(discretizers[pFeatures[index]]-&gt;transform(Xt)));</span></span>
-<span id="L69"><span class="lineNum">      69</span> <span class="tlaGNC">        1324 :                 auto xStates = std::vector&lt;int&gt;(discretizers[pFeatures[index]]-&gt;getCutPoints().size() + 1);</span></span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">        1324 :                 iota(xStates.begin(), xStates.end(), 0);</span></span>
-<span id="L71"><span class="lineNum">      71</span>              :                 //Update new states of the feature/node</span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">        1324 :                 states[pFeatures[index]] = xStates;</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">        1324 :             }</span></span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">         212 :             const torch::Tensor weights = torch::full({ pDataset.size(1) }, 1.0 / pDataset.size(1), torch::kDouble);</span></span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">         212 :             model.fit(pDataset, weights, pFeatures, pClassName, states);</span></span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">         212 :         }</span></span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">         424 :         return states;</span></span>
-<span id="L78"><span class="lineNum">      78</span> <span class="tlaGNC">      960128 :     }</span></span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">         232 :     map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::fit_local_discretization(const torch::Tensor&amp; y)</span></span>
-<span id="L80"><span class="lineNum">      80</span>              :     {</span>
-<span id="L81"><span class="lineNum">      81</span>              :         // Discretize the continuous input data and build pDataset (Classifier::dataset)</span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">         232 :         int m = Xf.size(1);</span></span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">         232 :         int n = Xf.size(0);</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">         232 :         map&lt;std::string, std::vector&lt;int&gt;&gt; states;</span></span>
-<span id="L85"><span class="lineNum">      85</span> <span class="tlaGNC">         232 :         pDataset = torch::zeros({ n + 1, m }, torch::kInt32);</span></span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">         232 :         auto yv = std::vector&lt;int&gt;(y.data_ptr&lt;int&gt;(), y.data_ptr&lt;int&gt;() + y.size(0));</span></span>
-<span id="L87"><span class="lineNum">      87</span>              :         // discretize input data by feature(row)</span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">        1944 :         for (auto i = 0; i &lt; pFeatures.size(); ++i) {</span></span>
-<span id="L89"><span class="lineNum">      89</span> <span class="tlaGNC">        1712 :             auto* discretizer = new mdlp::CPPFImdlp();</span></span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">        3424 :             auto Xt_ptr = Xf.index({ i }).data_ptr&lt;float&gt;();</span></span>
-<span id="L91"><span class="lineNum">      91</span> <span class="tlaGNC">        1712 :             auto Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</span></span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">        1712 :             discretizer-&gt;fit(Xt, yv);</span></span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaGNC">        6848 :             pDataset.index_put_({ i, &quot;...&quot; }, torch::tensor(discretizer-&gt;transform(Xt)));</span></span>
-<span id="L94"><span class="lineNum">      94</span> <span class="tlaGNC">        1712 :             auto xStates = std::vector&lt;int&gt;(discretizer-&gt;getCutPoints().size() + 1);</span></span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaGNC">        1712 :             iota(xStates.begin(), xStates.end(), 0);</span></span>
-<span id="L96"><span class="lineNum">      96</span> <span class="tlaGNC">        1712 :             states[pFeatures[i]] = xStates;</span></span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC">        1712 :             discretizers[pFeatures[i]] = discretizer;</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">        1712 :         }</span></span>
-<span id="L99"><span class="lineNum">      99</span> <span class="tlaGNC">         232 :         int n_classes = torch::max(y).item&lt;int&gt;() + 1;</span></span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">         232 :         auto yStates = std::vector&lt;int&gt;(n_classes);</span></span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">         232 :         iota(yStates.begin(), yStates.end(), 0);</span></span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">         232 :         states[pClassName] = yStates;</span></span>
-<span id="L103"><span class="lineNum">     103</span> <span class="tlaGNC">         696 :         pDataset.index_put_({ n, &quot;...&quot; }, y);</span></span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">         464 :         return states;</span></span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">        3888 :     }</span></span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">         168 :     torch::Tensor Proposal::prepareX(torch::Tensor&amp; X)</span></span>
-<span id="L107"><span class="lineNum">     107</span>              :     {</span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">         168 :         auto Xtd = torch::zeros_like(X, torch::kInt32);</span></span>
-<span id="L109"><span class="lineNum">     109</span> <span class="tlaGNC">        1376 :         for (int i = 0; i &lt; X.size(0); ++i) {</span></span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">        1208 :             auto Xt = std::vector&lt;float&gt;(X[i].data_ptr&lt;float&gt;(), X[i].data_ptr&lt;float&gt;() + X.size(1));</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">        1208 :             auto Xd = discretizers[pFeatures[i]]-&gt;transform(Xt);</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">        3624 :             Xtd.index_put_({ i }, torch::tensor(Xd, torch::kInt32));</span></span>
-<span id="L113"><span class="lineNum">     113</span> <span class="tlaGNC">        1208 :         }</span></span>
-<span id="L114"><span class="lineNum">     114</span> <span class="tlaGNC">         336 :         return Xtd;</span></span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">        1376 :     }</span></span>
-<span id="L116"><span class="lineNum">     116</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/Proposal.cc.gcov.overview.html b/html/bayesnet/classifiers/Proposal.cc.gcov.overview.html
deleted file mode 100644
index 143a658..0000000
--- a/html/bayesnet/classifiers/Proposal.cc.gcov.overview.html
+++ /dev/null
@@ -1,49 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Proposal.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Proposal.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Proposal.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Proposal.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Proposal.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Proposal.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Proposal.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Proposal.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Proposal.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Proposal.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Proposal.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Proposal.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Proposal.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Proposal.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Proposal.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Proposal.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Proposal.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Proposal.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="Proposal.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="Proposal.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="Proposal.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="Proposal.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="Proposal.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="Proposal.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="Proposal.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="Proposal.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="Proposal.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="Proposal.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="Proposal.cc.gcov.html#L101" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Proposal.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Proposal.cc.gcov.png" width=80 height=115 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/Proposal.cc.gcov.png b/html/bayesnet/classifiers/Proposal.cc.gcov.png
deleted file mode 100644
index fdaf4ea45e424d2f52bbf0722514da9881adc31c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 796
zcmV+%1LOROP)<h;3K|Lk000e1NJLTq002+`0049Z0{{R3-~y<=0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<Ts!2pa
zR9J<zSBrJSAPlrOa8@uIh!v6z;{8`C21!Ul80c&DS_eC4{ZEkXwZEQaLs7uJT#j@-
z=)qxthj`f)rSahR2f!yEr-fq}y<35O_ts74ob3bPc}63^7x_d1;p|HSK7Fl#N$0IQ
z<Uc^0U|-+LM*$8@&lz9wF<Uj+xm^LdUX5C*bV9y??=08#y@Y(y?dNmlr}>NTI|IM(
zvACv#=VRaW_hP%Z#s$+02}jSGg_L=XnGT6v`$1!*tnnlL@0E6$h6j-mdAXMhKHEzk
zbJr@@I<>yr1ei~*(+F(i#`gw5M{D&lI|*q8*<)U%|8%V^gox(6jyMGii`ihR(gG_W
z1e__iX()>bg4eg*hiVc~B{GU36;MajXazE11C1C57~JCc8acG;jfk2fWScU)u8%xT
z@UChMrCv~KH1g38#5WzV9_9tl$6zBiK0>K&$#ro;+;tMp;?^3g?Kk8`iyInJivig)
zFKl(me%q0ryP1Kb!Gg15Vy`B%fg87@u>$+VGC<-WsG`7FBWGVmZN7F0xw5+w{X4V7
z_{d?DqLX_NsrOY==o!$dwVa+o^;!#5`qWWG14V9dluFU2{iIu<)L2Y+g28D`%reDs
zG@=8hTnHQ&k(&alg8<suOnKWqTs&q!rhKt`ijooVZ_gC4ex}I3C|-O_$Tvql&A)JW
zrO`BsdK&13(*sf`-pT_vEm)wXfhslNPXI~Q%79KVWKwtuoqYz#O7+193RX9q*1$(r
zJ6l|s-88`=e~e;~KGQ!2M<cl~Fzs>L1y&E7gwL}Ouqr~*odfh@_GZsGW((|v>}f1@
z=^T*azl@Zo4chdq{4UhHb<5RLR7RY68e%c9$LtvE^cVsgjZ~UCA2jqA!+wCC&*L2I
aJbwUJ2Do1V!-pXN0000<MNUMnLSTZ(acar{

diff --git a/html/bayesnet/classifiers/SPODE.cc.func-c.html b/html/bayesnet/classifiers/SPODE.cc.func-c.html
deleted file mode 100644
index acc8273..0000000
--- a/html/bayesnet/classifiers/SPODE.cc.func-c.html
+++ /dev/null
@@ -1,104 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.cc<span style="font-size: 80%;"> (<a href="SPODE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">10</td>
-            <td class="headerCovTableEntry">10</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="SPODE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.cc.gcov.html#L24">bayesnet::SPODE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.cc.gcov.html#L11">bayesnet::SPODE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1016</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.cc.gcov.html#L9">bayesnet::SPODE::SPODE(int)</a></td>
-              
-              <td class="coverFnHi">1124</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODE.cc.func.html b/html/bayesnet/classifiers/SPODE.cc.func.html
deleted file mode 100644
index 87e8648..0000000
--- a/html/bayesnet/classifiers/SPODE.cc.func.html
+++ /dev/null
@@ -1,104 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.cc<span style="font-size: 80%;"> (<a href="SPODE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">10</td>
-            <td class="headerCovTableEntry">10</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.cc.gcov.html#L9">bayesnet::SPODE::SPODE(int)</a></td>
-              
-              <td class="coverFnHi">1124</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.cc.gcov.html#L11">bayesnet::SPODE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1016</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.cc.gcov.html#L24">bayesnet::SPODE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODE.cc.gcov.frameset.html b/html/bayesnet/classifiers/SPODE.cc.gcov.frameset.html
deleted file mode 100644
index 76bbdb6..0000000
--- a/html/bayesnet/classifiers/SPODE.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="SPODE.cc.gcov.overview.html" name="overview">
-          <frame src="SPODE.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/SPODE.cc.gcov.html b/html/bayesnet/classifiers/SPODE.cc.gcov.html
deleted file mode 100644
index c596c09..0000000
--- a/html/bayesnet/classifiers/SPODE.cc.gcov.html
+++ /dev/null
@@ -1,115 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.cc<span style="font-size: 80%;"> (source / <a href="SPODE.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">10</td>
-            <td class="headerCovTableEntry">10</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;SPODE.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">        1124 :     SPODE::SPODE(int root) : Classifier(Network()), root(root) {}</span></span>
-<span id="L12"><span class="lineNum">      12</span>              : </span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">        1016 :     void SPODE::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L14"><span class="lineNum">      14</span>              :     {</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // 0. Add all nodes to the model</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">        1016 :         addNodes();</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :         // 1. Add edges from the class node to all other nodes</span>
-<span id="L18"><span class="lineNum">      18</span>              :         // 2. Add edges from the root node to all other nodes</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">       25680 :         for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">       24664 :             model.addEdge(className, features[i]);</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">       24664 :             if (i != root) {</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">       23648 :                 model.addEdge(features[root], features[i]);</span></span>
-<span id="L23"><span class="lineNum">      23</span>              :             }</span>
-<span id="L24"><span class="lineNum">      24</span>              :         }</span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">        1016 :     }</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          68 :     std::vector&lt;std::string&gt; SPODE::graph(const std::string&amp; name) const</span></span>
-<span id="L27"><span class="lineNum">      27</span>              :     {</span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          68 :         return model.graph(name);</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :     }</span>
-<span id="L30"><span class="lineNum">      30</span>              : </span>
-<span id="L31"><span class="lineNum">      31</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODE.cc.gcov.overview.html b/html/bayesnet/classifiers/SPODE.cc.gcov.overview.html
deleted file mode 100644
index b38cc57..0000000
--- a/html/bayesnet/classifiers/SPODE.cc.gcov.overview.html
+++ /dev/null
@@ -1,28 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="SPODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="SPODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="SPODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="SPODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="SPODE.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="SPODE.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="SPODE.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="SPODE.cc.gcov.html#L17" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="SPODE.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="SPODE.cc.gcov.png" width=80 height=30 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/SPODE.cc.gcov.png b/html/bayesnet/classifiers/SPODE.cc.gcov.png
deleted file mode 100644
index b891cfebdadff1846452c9e6c49fe2a03de19d14..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 310
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIz!VDyv48zrdlth3}i0l9V|5pLQ^7pZ^ul_SI
ztOAOIsdL_&mjc<G1s;*b3=DinK$vl=HlH+5@QA02V~9oX+Tc#!BMLm(W**@R(k*|>
zt%ddpO!c?oR`lxa<h9Y?lWoJwELhaO^0-xFUq{+UbvD<W*XBn;dyi+xtqWf#V#@Vn
zdJ@ORhM>ha4pdHZJ|@h!u*+?EU+8(kN;M;`RmBdLwj23{ULEn-xLNR=OOj^SQm2pe
z+)^)`Hi`Cbu93cNzH6;(cgM`d?m_9ZAOFz*mBTYJqWjj2kF&o1$q{PZ!5_<eR{oU0
ykB5SFR(Y=9uH=h^ZuUOgDSrJ8hx<j9KMWtZayLDnuJje?9|liXKbLh*2~7aS@pq^I

diff --git a/html/bayesnet/classifiers/SPODE.h.func-c.html b/html/bayesnet/classifiers/SPODE.h.func-c.html
deleted file mode 100644
index 872ebca..0000000
--- a/html/bayesnet/classifiers/SPODE.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (<a href="SPODE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="SPODE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.h.gcov.html#L17">bayesnet::SPODE::~SPODE()</a></td>
-              
-              <td class="coverFnHi">1836</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODE.h.func.html b/html/bayesnet/classifiers/SPODE.h.func.html
deleted file mode 100644
index 2a850e6..0000000
--- a/html/bayesnet/classifiers/SPODE.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (<a href="SPODE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODE.h.gcov.html#L17">bayesnet::SPODE::~SPODE()</a></td>
-              
-              <td class="coverFnHi">1836</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODE.h.gcov.frameset.html b/html/bayesnet/classifiers/SPODE.h.gcov.frameset.html
deleted file mode 100644
index 5bab82c..0000000
--- a/html/bayesnet/classifiers/SPODE.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="SPODE.h.gcov.overview.html" name="overview">
-          <frame src="SPODE.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/SPODE.h.gcov.html b/html/bayesnet/classifiers/SPODE.h.gcov.html
deleted file mode 100644
index 7cf5fc8..0000000
--- a/html/bayesnet/classifiers/SPODE.h.gcov.html
+++ /dev/null
@@ -1,107 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (source / <a href="SPODE.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef SPODE_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define SPODE_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;Classifier.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span>              : namespace bayesnet {</span>
-<span id="L12"><span class="lineNum">      12</span>              :     class SPODE : public Classifier {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     private:</span>
-<span id="L14"><span class="lineNum">      14</span>              :         int root;</span>
-<span id="L15"><span class="lineNum">      15</span>              :     protected:</span>
-<span id="L16"><span class="lineNum">      16</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L17"><span class="lineNum">      17</span>              :     public:</span>
-<span id="L18"><span class="lineNum">      18</span>              :         explicit SPODE(int root);</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC tlaBgGNC">        1836 :         virtual ~SPODE() = default;</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;SPODE&quot;) const override;</span>
-<span id="L21"><span class="lineNum">      21</span>              :     };</span>
-<span id="L22"><span class="lineNum">      22</span>              : }</span>
-<span id="L23"><span class="lineNum">      23</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODE.h.gcov.overview.html b/html/bayesnet/classifiers/SPODE.h.gcov.overview.html
deleted file mode 100644
index 1142d9b..0000000
--- a/html/bayesnet/classifiers/SPODE.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="SPODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="SPODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="SPODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="SPODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="SPODE.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="SPODE.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="SPODE.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="SPODE.h.gcov.png" width=80 height=22 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/SPODE.h.gcov.png b/html/bayesnet/classifiers/SPODE.h.gcov.png
deleted file mode 100644
index 79e3825d7216994c1d6a3a382a236b38235bb50b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 245
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIy!VDzylCF9IDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwBV6&%-V~EDYxj~)042m4q<}0*cux<LE
z*DfEZEEl)f#kcX+hl=OtE2PvGt!9+DD8E6#P$l0mwB<>?fWOq)j89*t)pvaQm~EML
zG-;i2z)X%3&H&Mv8KGXcLZrOA9COoN$*xWn=i^(v;yDYOpz1x5WV=>ft3ZMF8C81g
i@7!2+-i9-bKR!`F=FNlTcOgLMFnGH9xvX<aXaWGrmQ~&W

diff --git a/html/bayesnet/classifiers/SPODELd.cc.func-c.html b/html/bayesnet/classifiers/SPODELd.cc.func-c.html
deleted file mode 100644
index 5d677f6..0000000
--- a/html/bayesnet/classifiers/SPODELd.cc.func-c.html
+++ /dev/null
@@ -1,125 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.cc<span style="font-size: 80%;"> (<a href="SPODELd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">26</td>
-            <td class="headerCovTableEntry">26</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">6</td>
-            <td class="headerCovTableEntry">6</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="SPODELd.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L17">bayesnet::SPODELd::fit(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L44">bayesnet::SPODELd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">36</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L39">bayesnet::SPODELd::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">136</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L9">bayesnet::SPODELd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">168</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L27">bayesnet::SPODELd::commonFit(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">172</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L8">bayesnet::SPODELd::SPODELd(int)</a></td>
-              
-              <td class="coverFnHi">220</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODELd.cc.func.html b/html/bayesnet/classifiers/SPODELd.cc.func.html
deleted file mode 100644
index 217c3a2..0000000
--- a/html/bayesnet/classifiers/SPODELd.cc.func.html
+++ /dev/null
@@ -1,125 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.cc<span style="font-size: 80%;"> (<a href="SPODELd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">26</td>
-            <td class="headerCovTableEntry">26</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">6</td>
-            <td class="headerCovTableEntry">6</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODELd.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L8">bayesnet::SPODELd::SPODELd(int)</a></td>
-              
-              <td class="coverFnHi">220</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L27">bayesnet::SPODELd::commonFit(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">172</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L9">bayesnet::SPODELd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">168</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L17">bayesnet::SPODELd::fit(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L44">bayesnet::SPODELd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">36</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.cc.gcov.html#L39">bayesnet::SPODELd::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">136</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODELd.cc.gcov.frameset.html b/html/bayesnet/classifiers/SPODELd.cc.gcov.frameset.html
deleted file mode 100644
index 04b5f98..0000000
--- a/html/bayesnet/classifiers/SPODELd.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="SPODELd.cc.gcov.overview.html" name="overview">
-          <frame src="SPODELd.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/SPODELd.cc.gcov.html b/html/bayesnet/classifiers/SPODELd.cc.gcov.html
deleted file mode 100644
index 29421e0..0000000
--- a/html/bayesnet/classifiers/SPODELd.cc.gcov.html
+++ /dev/null
@@ -1,134 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.cc<span style="font-size: 80%;"> (source / <a href="SPODELd.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">26</td>
-            <td class="headerCovTableEntry">26</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">6</td>
-            <td class="headerCovTableEntry">6</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;SPODELd.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">         220 :     SPODELd::SPODELd(int root) : SPODE(root), Proposal(dataset, features, className) {}</span></span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC">         168 :     SPODELd&amp; SPODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
-<span id="L12"><span class="lineNum">      12</span>              :     {</span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">         168 :         checkInput(X_, y_);</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">         168 :         Xf = X_;</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">         168 :         y = y_;</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">         168 :         return commonFit(features_, className_, states_);</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :     }</span>
-<span id="L18"><span class="lineNum">      18</span>              : </span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">           8 :     SPODELd&amp; SPODELd::fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :     {</span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">           8 :         if (!torch::is_floating_point(dataset)) {</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">           4 :             throw std::runtime_error(&quot;Dataset must be a floating point tensor&quot;);</span></span>
-<span id="L23"><span class="lineNum">      23</span>              :         }</span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">          16 :         Xf = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), &quot;...&quot; }).clone();</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">          12 :         y = dataset.index({ -1, &quot;...&quot; }).clone().to(torch::kInt32);</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">           4 :         return commonFit(features_, className_, states_);</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">          12 :     }</span></span>
-<span id="L28"><span class="lineNum">      28</span>              : </span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">         172 :     SPODELd&amp; SPODELd::commonFit(const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :     {</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">         172 :         features = features_;</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">         172 :         className = className_;</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :         // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">         172 :         states = fit_local_discretization(y);</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :         // We have discretized the input data</span>
-<span id="L36"><span class="lineNum">      36</span>              :         // 1st we need to fit the model to build the normal SPODE structure, SPODE::fit initializes the base Bayesian network</span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">         172 :         SPODE::fit(dataset, features, className, states);</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">         172 :         states = localDiscretizationProposal(states, model);</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         172 :         return *this;</span></span>
-<span id="L40"><span class="lineNum">      40</span>              :     }</span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">         136 :     torch::Tensor SPODELd::predict(torch::Tensor&amp; X)</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :     {</span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">         136 :         auto Xt = prepareX(X);</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">         272 :         return SPODE::predict(Xt);</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">         136 :     }</span></span>
-<span id="L46"><span class="lineNum">      46</span> <span class="tlaGNC">          36 :     std::vector&lt;std::string&gt; SPODELd::graph(const std::string&amp; name) const</span></span>
-<span id="L47"><span class="lineNum">      47</span>              :     {</span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">          36 :         return SPODE::graph(name);</span></span>
-<span id="L49"><span class="lineNum">      49</span>              :     }</span>
-<span id="L50"><span class="lineNum">      50</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODELd.cc.gcov.overview.html b/html/bayesnet/classifiers/SPODELd.cc.gcov.overview.html
deleted file mode 100644
index 431ffcf..0000000
--- a/html/bayesnet/classifiers/SPODELd.cc.gcov.overview.html
+++ /dev/null
@@ -1,33 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="SPODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="SPODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="SPODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="SPODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="SPODELd.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="SPODELd.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="SPODELd.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="SPODELd.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="SPODELd.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="SPODELd.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="SPODELd.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="SPODELd.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="SPODELd.cc.gcov.html#L37" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="SPODELd.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="SPODELd.cc.gcov.png" width=80 height=49 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/SPODELd.cc.gcov.png b/html/bayesnet/classifiers/SPODELd.cc.gcov.png
deleted file mode 100644
index a623770a0ec0c241e0123d9b4bfd40cc91eecc1e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 403
zcmeAS@N?(olHy`uVBq!ia0vp^0YGfT!VDxWnH|pqDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZuR21Z3s7sn8f&b6V9f`=72uJD$$ZeYAw
zzrBm2D{%47OIJePSJpbbTGXFie3a+HXMsx+DT*ZrE?DrNHDLQ%&$#Z~j@(rb@01>#
z;ruYZ;d<$6$0~*YPLWQMTmtW|IXv@_DD!gIQ+DR!0vB$1wq=uZ4VBjIcyle3*DOo7
zAo$F--p3W!8N{r67OS4IswzLeK2LrY<Dw_~bM|iEnYQed!K_cSyIhPuub5WVHSOd2
znKzvbH;5;m>ri^V=a8jSu{!HC0pE$UvUe_HIB{K|k~d&=`{Rt)k33@}0yP?MvLCn;
zR`X@$+9mq6mmaSy{CPq+FZu1>JSmTrpBl3&uIa7iX;>{G_Mj|{P4e95_dQ2AgP!Cc
vSa$B&0cS(gGB=s&r`Zkv+dTgB{>m->n~guqXMUIg3U&rhS3j3^P6<r_%Kx!o

diff --git a/html/bayesnet/classifiers/SPODELd.h.func-c.html b/html/bayesnet/classifiers/SPODELd.h.func-c.html
deleted file mode 100644
index c0d230c..0000000
--- a/html/bayesnet/classifiers/SPODELd.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.h<span style="font-size: 80%;"> (<a href="SPODELd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="SPODELd.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.h.gcov.html#L14">bayesnet::SPODELd::~SPODELd()</a></td>
-              
-              <td class="coverFnHi">320</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODELd.h.func.html b/html/bayesnet/classifiers/SPODELd.h.func.html
deleted file mode 100644
index ae57f22..0000000
--- a/html/bayesnet/classifiers/SPODELd.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.h<span style="font-size: 80%;"> (<a href="SPODELd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODELd.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPODELd.h.gcov.html#L14">bayesnet::SPODELd::~SPODELd()</a></td>
-              
-              <td class="coverFnHi">320</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODELd.h.gcov.frameset.html b/html/bayesnet/classifiers/SPODELd.h.gcov.frameset.html
deleted file mode 100644
index 2dfdfd0..0000000
--- a/html/bayesnet/classifiers/SPODELd.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="SPODELd.h.gcov.overview.html" name="overview">
-          <frame src="SPODELd.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/SPODELd.h.gcov.html b/html/bayesnet/classifiers/SPODELd.h.gcov.html
deleted file mode 100644
index fd1f83a..0000000
--- a/html/bayesnet/classifiers/SPODELd.h.gcov.html
+++ /dev/null
@@ -1,109 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.h<span style="font-size: 80%;"> (source / <a href="SPODELd.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef SPODELD_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define SPODELD_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;SPODE.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Proposal.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : </span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class SPODELd : public SPODE, public Proposal {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         explicit SPODELd(int root);</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC tlaBgGNC">         320 :         virtual ~SPODELd() = default;</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :         SPODELd&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L18"><span class="lineNum">      18</span>              :         SPODELd&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :         SPODELd&amp; commonFit(const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</span>
-<span id="L20"><span class="lineNum">      20</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;SPODE&quot;) const override;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         torch::Tensor predict(torch::Tensor&amp; X) override;</span>
-<span id="L22"><span class="lineNum">      22</span>              :         static inline std::string version() { return &quot;0.0.1&quot;; };</span>
-<span id="L23"><span class="lineNum">      23</span>              :     };</span>
-<span id="L24"><span class="lineNum">      24</span>              : }</span>
-<span id="L25"><span class="lineNum">      25</span>              : #endif // !SPODELD_H</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPODELd.h.gcov.overview.html b/html/bayesnet/classifiers/SPODELd.h.gcov.overview.html
deleted file mode 100644
index b271338..0000000
--- a/html/bayesnet/classifiers/SPODELd.h.gcov.overview.html
+++ /dev/null
@@ -1,27 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="SPODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="SPODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="SPODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="SPODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="SPODELd.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="SPODELd.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="SPODELd.h.gcov.html#L13" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="SPODELd.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="SPODELd.h.gcov.png" width=80 height=24 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/SPODELd.h.gcov.png b/html/bayesnet/classifiers/SPODELd.h.gcov.png
deleted file mode 100644
index 569995f9f0999faa06fe3fcb6cc293f3a72c9dfb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 270
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIt!VDxsGPYO&DTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;2cjE#}JF&xj}(q4GJ9H(mmQwcpv>M
z_YU^(oqVhPQ^|vtT%SLEYZoX6#R-JJV6;+N^+a)2*M>i=AAJ`~ud4p{j6Z4GOSN^`
zRtwLj6$PxHxX@>f$HCx}?3Lf!Gv;k^?>M2zsko#--mz0?$%6|YxZdojz7=&~ZDfc1
zk$3kd_1w7ga!ry$rMs((ue|irysc3uZ^cy~eVMpD-RHuh51eLKR7<t?OnVG;CxfS}
KpUXO@geCwbKW>8n

diff --git a/html/bayesnet/classifiers/SPnDE.cc.func-c.html b/html/bayesnet/classifiers/SPnDE.cc.func-c.html
deleted file mode 100644
index 79a9fb1..0000000
--- a/html/bayesnet/classifiers/SPnDE.cc.func-c.html
+++ /dev/null
@@ -1,104 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.cc<span style="font-size: 80%;"> (<a href="SPnDE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">14</td>
-            <td class="headerCovTableEntry">14</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="SPnDE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.cc.gcov.html#L31">bayesnet::SPnDE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.cc.gcov.html#L9">bayesnet::SPnDE::SPnDE(std::vector&lt;int, std::allocator&lt;int&gt; &gt;)</a></td>
-              
-              <td class="coverFnHi">456</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.cc.gcov.html#L11">bayesnet::SPnDE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">456</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPnDE.cc.func.html b/html/bayesnet/classifiers/SPnDE.cc.func.html
deleted file mode 100644
index 3e2fd7a..0000000
--- a/html/bayesnet/classifiers/SPnDE.cc.func.html
+++ /dev/null
@@ -1,104 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.cc<span style="font-size: 80%;"> (<a href="SPnDE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">14</td>
-            <td class="headerCovTableEntry">14</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPnDE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.cc.gcov.html#L9">bayesnet::SPnDE::SPnDE(std::vector&lt;int, std::allocator&lt;int&gt; &gt;)</a></td>
-              
-              <td class="coverFnHi">456</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.cc.gcov.html#L11">bayesnet::SPnDE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">456</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.cc.gcov.html#L31">bayesnet::SPnDE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPnDE.cc.gcov.frameset.html b/html/bayesnet/classifiers/SPnDE.cc.gcov.frameset.html
deleted file mode 100644
index f62ea4c..0000000
--- a/html/bayesnet/classifiers/SPnDE.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="SPnDE.cc.gcov.overview.html" name="overview">
-          <frame src="SPnDE.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/SPnDE.cc.gcov.html b/html/bayesnet/classifiers/SPnDE.cc.gcov.html
deleted file mode 100644
index 958f687..0000000
--- a/html/bayesnet/classifiers/SPnDE.cc.gcov.html
+++ /dev/null
@@ -1,122 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.cc<span style="font-size: 80%;"> (source / <a href="SPnDE.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">14</td>
-            <td class="headerCovTableEntry">14</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;SPnDE.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">         456 :     SPnDE::SPnDE(std::vector&lt;int&gt; parents) : Classifier(Network()), parents(parents) {}</span></span>
-<span id="L12"><span class="lineNum">      12</span>              : </span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">         456 :     void SPnDE::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L14"><span class="lineNum">      14</span>              :     {</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // 0. Add all nodes to the model</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">         456 :         addNodes();</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">         456 :         std::vector&lt;int&gt; attributes;</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">        4440 :         for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">        3984 :             if (std::find(parents.begin(), parents.end(), i) == parents.end()) {</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">        3072 :                 attributes.push_back(i);</span></span>
-<span id="L21"><span class="lineNum">      21</span>              :             }</span>
-<span id="L22"><span class="lineNum">      22</span>              :         }</span>
-<span id="L23"><span class="lineNum">      23</span>              :         // 1. Add edges from the class node to all other nodes</span>
-<span id="L24"><span class="lineNum">      24</span>              :         // 2. Add edges from the parents nodes to all other nodes</span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">        3528 :         for (const auto&amp; attribute : attributes) {</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">        3072 :             model.addEdge(className, features[attribute]);</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">        9216 :             for (const auto&amp; root : parents) {</span></span>
-<span id="L28"><span class="lineNum">      28</span>              : </span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">        6144 :                 model.addEdge(features[root], features[attribute]);</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :             }</span>
-<span id="L31"><span class="lineNum">      31</span>              :         }</span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">         456 :     }</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">          24 :     std::vector&lt;std::string&gt; SPnDE::graph(const std::string&amp; name) const</span></span>
-<span id="L34"><span class="lineNum">      34</span>              :     {</span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">          24 :         return model.graph(name);</span></span>
-<span id="L36"><span class="lineNum">      36</span>              :     }</span>
-<span id="L37"><span class="lineNum">      37</span>              : </span>
-<span id="L38"><span class="lineNum">      38</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPnDE.cc.gcov.overview.html b/html/bayesnet/classifiers/SPnDE.cc.gcov.overview.html
deleted file mode 100644
index 9aebe7f..0000000
--- a/html/bayesnet/classifiers/SPnDE.cc.gcov.overview.html
+++ /dev/null
@@ -1,30 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="SPnDE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="SPnDE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="SPnDE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="SPnDE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="SPnDE.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="SPnDE.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="SPnDE.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="SPnDE.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="SPnDE.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="SPnDE.cc.gcov.html#L25" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="SPnDE.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="SPnDE.cc.gcov.png" width=80 height=37 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/SPnDE.cc.gcov.png b/html/bayesnet/classifiers/SPnDE.cc.gcov.png
deleted file mode 100644
index de6281b1dbccad73dd982215dc8fe792ab040f34..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 332
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$A!VDxAx-dEcDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;4M!V#}JF&t-+mwM-(`EWM_yuvEQiA
zSJ!Z{l%KQn_DKuQ$gpzfb=G&XV?<>Qr>H(N^-`2d%9+*vLS*r`{EpSeyB5mzS%-JY
zxc->>=<^aj5AFudB~v=>HY8ov|Gp-<<3(`FbHz*7m47!n&7HBb%<PbU;Q8%JN~%m9
zGjtRb_Z{(J{k$uRJ(Kn9#;3m9zquSa_dGc_plC^VGS8&v;Y-?1$gF&kC&X{rnpTvM
zlQyAuqrS^korTf1s_zVWVvg^UoMzARZr%q^lNIL!f~*2ld=1pxk2LSU!1`XNjv+_8
W?`7=7KPEt5GI+ZBxvX<aXaWFL?}3*9

diff --git a/html/bayesnet/classifiers/SPnDE.h.func-c.html b/html/bayesnet/classifiers/SPnDE.h.func-c.html
deleted file mode 100644
index ee90574..0000000
--- a/html/bayesnet/classifiers/SPnDE.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.h<span style="font-size: 80%;"> (<a href="SPnDE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="SPnDE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.h.gcov.html#L14">bayesnet::SPnDE::~SPnDE()</a></td>
-              
-              <td class="coverFnHi">912</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPnDE.h.func.html b/html/bayesnet/classifiers/SPnDE.h.func.html
deleted file mode 100644
index d504556..0000000
--- a/html/bayesnet/classifiers/SPnDE.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.h<span style="font-size: 80%;"> (<a href="SPnDE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPnDE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="SPnDE.h.gcov.html#L14">bayesnet::SPnDE::~SPnDE()</a></td>
-              
-              <td class="coverFnHi">912</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPnDE.h.gcov.frameset.html b/html/bayesnet/classifiers/SPnDE.h.gcov.frameset.html
deleted file mode 100644
index 9d7e330..0000000
--- a/html/bayesnet/classifiers/SPnDE.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="SPnDE.h.gcov.overview.html" name="overview">
-          <frame src="SPnDE.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/SPnDE.h.gcov.html b/html/bayesnet/classifiers/SPnDE.h.gcov.html
deleted file mode 100644
index 1574cb0..0000000
--- a/html/bayesnet/classifiers/SPnDE.h.gcov.html
+++ /dev/null
@@ -1,110 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.h<span style="font-size: 80%;"> (source / <a href="SPnDE.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef SPnDE_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define SPnDE_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;vector&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Classifier.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : </span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class SPnDE : public Classifier {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         explicit SPnDE(std::vector&lt;int&gt; parents);</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC tlaBgGNC">         912 :         virtual ~SPnDE() = default;</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;SPnDE&quot;) const override;</span>
-<span id="L18"><span class="lineNum">      18</span>              :     protected:</span>
-<span id="L19"><span class="lineNum">      19</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :     private:</span>
-<span id="L21"><span class="lineNum">      21</span>              :         std::vector&lt;int&gt; parents;</span>
-<span id="L22"><span class="lineNum">      22</span>              : </span>
-<span id="L23"><span class="lineNum">      23</span>              : </span>
-<span id="L24"><span class="lineNum">      24</span>              :     };</span>
-<span id="L25"><span class="lineNum">      25</span>              : }</span>
-<span id="L26"><span class="lineNum">      26</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/SPnDE.h.gcov.overview.html b/html/bayesnet/classifiers/SPnDE.h.gcov.overview.html
deleted file mode 100644
index 6940831..0000000
--- a/html/bayesnet/classifiers/SPnDE.h.gcov.overview.html
+++ /dev/null
@@ -1,27 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPnDE.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="SPnDE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="SPnDE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="SPnDE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="SPnDE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="SPnDE.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="SPnDE.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="SPnDE.h.gcov.html#L13" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="SPnDE.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="SPnDE.h.gcov.png" width=80 height=25 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/SPnDE.h.gcov.png b/html/bayesnet/classifiers/SPnDE.h.gcov.png
deleted file mode 100644
index 36d64f460ffe72a39885ee0fae94a7941c50a6b4..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 254
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIp!VDxY{W&%TNJ#|vgt-3y|9=$_EPo#x`|3Xf
z!z!RSm^$aZc`1<1S>O>_%)r2R1cVu<YV%101$#VQ978O6*G}%{ZBXEGNo`JMz2Wff
z{@GO`-8DA7;u#z}FCEYSc<%hxlu);FHjfs+2Wc&y?^Z<#s{TJ{k-TK;$78DdCHT*{
zr(4>kg?d%pxF;B9$kf%Kc#zv_^FpUfPuK#zGN;Z<y5qi3+f>X|IQ;C?Y21^;>je+(
tdBFDdX!Iughs&!~xQoqZb>98NCO2QM<>>7ro<Mgoc)I$ztaD0e0sudmVS@kw

diff --git a/html/bayesnet/classifiers/TAN.cc.func-c.html b/html/bayesnet/classifiers/TAN.cc.func-c.html
deleted file mode 100644
index 582bd48..0000000
--- a/html/bayesnet/classifiers/TAN.cc.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (<a href="TAN.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">23</td>
-            <td class="headerCovTableEntry">23</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="TAN.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L39">bayesnet::TAN::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L10">bayesnet::TAN::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">52</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L8">bayesnet::TAN::TAN()</a></td>
-              
-              <td class="coverFnHi">188</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L23">auto bayesnet::TAN::buildModel(at::Tensor const&amp;)::{lambda(auto:1 const&amp;, auto:2 const&amp;)#1}::operator()&lt;std::pair&lt;int, float&gt;, std::pair&lt;int, float&gt; &gt;(std::pair&lt;int, float&gt; const&amp;, std::pair&lt;int, float&gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">648</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TAN.cc.func.html b/html/bayesnet/classifiers/TAN.cc.func.html
deleted file mode 100644
index 487522b..0000000
--- a/html/bayesnet/classifiers/TAN.cc.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (<a href="TAN.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">23</td>
-            <td class="headerCovTableEntry">23</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="TAN.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L23">auto bayesnet::TAN::buildModel(at::Tensor const&amp;)::{lambda(auto:1 const&amp;, auto:2 const&amp;)#1}::operator()&lt;std::pair&lt;int, float&gt;, std::pair&lt;int, float&gt; &gt;(std::pair&lt;int, float&gt; const&amp;, std::pair&lt;int, float&gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">648</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L8">bayesnet::TAN::TAN()</a></td>
-              
-              <td class="coverFnHi">188</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L10">bayesnet::TAN::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">52</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.cc.gcov.html#L39">bayesnet::TAN::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TAN.cc.gcov.frameset.html b/html/bayesnet/classifiers/TAN.cc.gcov.frameset.html
deleted file mode 100644
index 1c81b16..0000000
--- a/html/bayesnet/classifiers/TAN.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="TAN.cc.gcov.overview.html" name="overview">
-          <frame src="TAN.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/TAN.cc.gcov.html b/html/bayesnet/classifiers/TAN.cc.gcov.html
deleted file mode 100644
index 12c5c28..0000000
--- a/html/bayesnet/classifiers/TAN.cc.gcov.html
+++ /dev/null
@@ -1,129 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (source / <a href="TAN.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">23</td>
-            <td class="headerCovTableEntry">23</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;TAN.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">         188 :     TAN::TAN() : Classifier(Network()) {}</span></span>
-<span id="L11"><span class="lineNum">      11</span>              : </span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">          52 :     void TAN::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L13"><span class="lineNum">      13</span>              :     {</span>
-<span id="L14"><span class="lineNum">      14</span>              :         // 0. Add all nodes to the model</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          52 :         addNodes();</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         // 1. Compute mutual information between each feature and the class and set the root node</span>
-<span id="L17"><span class="lineNum">      17</span>              :         // as the highest mutual information with the class</span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          52 :         auto mi = std::vector &lt;std::pair&lt;int, float &gt;&gt;();</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">         156 :         torch::Tensor class_dataset = dataset.index({ -1, &quot;...&quot; });</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">         356 :         for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">         912 :             torch::Tensor feature_dataset = dataset.index({ i, &quot;...&quot; });</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">         304 :             auto mi_value = metrics.mutualInformation(class_dataset, feature_dataset, weights);</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">         304 :             mi.push_back({ i, mi_value });</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">         304 :         }</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">         700 :         sort(mi.begin(), mi.end(), [](const auto&amp; left, const auto&amp; right) {return left.second &lt; right.second;});</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          52 :         auto root = mi[mi.size() - 1].first;</span></span>
-<span id="L27"><span class="lineNum">      27</span>              :         // 2. Compute mutual information between each feature and the class</span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          52 :         auto weights_matrix = metrics.conditionalEdge(weights);</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :         // 3. Compute the maximum spanning tree</span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">          52 :         auto mst = metrics.maximumSpanningTree(features, weights_matrix, root);</span></span>
-<span id="L31"><span class="lineNum">      31</span>              :         // 4. Add edges from the maximum spanning tree to the model</span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">         304 :         for (auto i = 0; i &lt; mst.size(); ++i) {</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">         252 :             auto [from, to] = mst[i];</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">         252 :             model.addEdge(features[from], features[to]);</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :         }</span>
-<span id="L36"><span class="lineNum">      36</span>              :         // 5. Add edges from the class to all features</span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">         356 :         for (auto feature : features) {</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">         304 :             model.addEdge(className, feature);</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         304 :         }</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">         408 :     }</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">           8 :     std::vector&lt;std::string&gt; TAN::graph(const std::string&amp; title) const</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :     {</span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">           8 :         return model.graph(title);</span></span>
-<span id="L44"><span class="lineNum">      44</span>              :     }</span>
-<span id="L45"><span class="lineNum">      45</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TAN.cc.gcov.overview.html b/html/bayesnet/classifiers/TAN.cc.gcov.overview.html
deleted file mode 100644
index eb915d6..0000000
--- a/html/bayesnet/classifiers/TAN.cc.gcov.overview.html
+++ /dev/null
@@ -1,32 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="TAN.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="TAN.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="TAN.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="TAN.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="TAN.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="TAN.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="TAN.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="TAN.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="TAN.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="TAN.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="TAN.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="TAN.cc.gcov.html#L33" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="TAN.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="TAN.cc.gcov.png" width=80 height=44 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/TAN.cc.gcov.png b/html/bayesnet/classifiers/TAN.cc.gcov.png
deleted file mode 100644
index e18de49282c42a322662b8c4b0c04c8817aef83f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 414
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$F!VDx&H-BsdQW60^A+G=b|6c_J%iqVwzWUF=
zunH&+rp|e9UJ7J$7I;J!GcfQS0b$0e+I-Rs42(LSE{-7<y-PzI1rIB5^hm$pN@U*j
zKTns5tE)3J(|`TF=MUw5`X`;Ll@a2bQE~FV>1#*1hMP7rZOLce{$zg;+k1PVRGfXq
z>4>!+{0Bbo(O_67*6>`$y+F(@bxY13MO|eBFA;+<N6p}1k5HxcVo5INm<^d3m+ED-
z9y*%-W#Q2!Y4*Vv15Y3A<yg*kWZks#FIT@viMGg|@zfPqX&N7PG$LNmy5PZ<B@Pkn
zEZh<vnlj3_RYWHCTl<=<Qspcu|KgqgDtUE3`{(Ck+pbu(P0rzwoI3r5Ski%5srLzY
zHyUoToAB!g`>c~0dzZN}uaM{o?v_b0-1v82Yp$4u+Ji9ev!N$i^%utU2;FhY)ckGB
z9eG8<{P)=zx%+~ew%k>CvHcrw^3ylUAIp1R*DJ`&KjOW$_~-{oHDF*ec)I$ztaD0e
F0sucprsDtr

diff --git a/html/bayesnet/classifiers/TAN.h.func-c.html b/html/bayesnet/classifiers/TAN.h.func-c.html
deleted file mode 100644
index 5e95716..0000000
--- a/html/bayesnet/classifiers/TAN.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.h<span style="font-size: 80%;"> (<a href="TAN.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="TAN.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.h.gcov.html#L15">bayesnet::TAN::~TAN()</a></td>
-              
-              <td class="coverFnHi">76</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TAN.h.func.html b/html/bayesnet/classifiers/TAN.h.func.html
deleted file mode 100644
index 002e588..0000000
--- a/html/bayesnet/classifiers/TAN.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.h<span style="font-size: 80%;"> (<a href="TAN.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="TAN.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TAN.h.gcov.html#L15">bayesnet::TAN::~TAN()</a></td>
-              
-              <td class="coverFnHi">76</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TAN.h.gcov.frameset.html b/html/bayesnet/classifiers/TAN.h.gcov.frameset.html
deleted file mode 100644
index 0974d93..0000000
--- a/html/bayesnet/classifiers/TAN.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="TAN.h.gcov.overview.html" name="overview">
-          <frame src="TAN.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/TAN.h.gcov.html b/html/bayesnet/classifiers/TAN.h.gcov.html
deleted file mode 100644
index 10dc513..0000000
--- a/html/bayesnet/classifiers/TAN.h.gcov.html
+++ /dev/null
@@ -1,105 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.h<span style="font-size: 80%;"> (source / <a href="TAN.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef TAN_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define TAN_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;Classifier.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : namespace bayesnet {</span>
-<span id="L11"><span class="lineNum">      11</span>              :     class TAN : public Classifier {</span>
-<span id="L12"><span class="lineNum">      12</span>              :     private:</span>
-<span id="L13"><span class="lineNum">      13</span>              :     protected:</span>
-<span id="L14"><span class="lineNum">      14</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L15"><span class="lineNum">      15</span>              :     public:</span>
-<span id="L16"><span class="lineNum">      16</span>              :         TAN();</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">          76 :         virtual ~TAN() = default;</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;TAN&quot;) const override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :     };</span>
-<span id="L20"><span class="lineNum">      20</span>              : }</span>
-<span id="L21"><span class="lineNum">      21</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TAN.h.gcov.overview.html b/html/bayesnet/classifiers/TAN.h.gcov.overview.html
deleted file mode 100644
index 0060cc0..0000000
--- a/html/bayesnet/classifiers/TAN.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="TAN.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="TAN.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="TAN.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="TAN.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="TAN.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="TAN.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="TAN.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="TAN.h.gcov.png" width=80 height=20 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/TAN.h.gcov.png b/html/bayesnet/classifiers/TAN.h.gcov.png
deleted file mode 100644
index 5165005c82bb464b0dd52e40c83106f73c98781d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 238
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIu!VDypSCu#dDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwBV2!7XV~EDYxq+NQ41zq5**~(@9r*u$
z*|rjcu-&s4HhcEBaNFH^XeGAjIYXBO|Ba3rllmjHoIZ&@%5^iY*z>(_e}__xs@=Rw
zXWt^$#Rht8k+we`Ogr(?{!IBBrqI3Iq3W(qnyQ!mR?0q-Y}W7yJ~L;|?X2G1&yl4!
bS_HJJCrh7s)O|(*=ne)?S3j3^P6<r_TTNGL

diff --git a/html/bayesnet/classifiers/TANLd.cc.func-c.html b/html/bayesnet/classifiers/TANLd.cc.func-c.html
deleted file mode 100644
index a635d16..0000000
--- a/html/bayesnet/classifiers/TANLd.cc.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TANLd.cc<span style="font-size: 80%;"> (<a href="TANLd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">17</td>
-            <td class="headerCovTableEntry">17</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="TANLd.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L30">bayesnet::TANLd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L25">bayesnet::TANLd::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L9">bayesnet::TANLd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L8">bayesnet::TANLd::TANLd()</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TANLd.cc.func.html b/html/bayesnet/classifiers/TANLd.cc.func.html
deleted file mode 100644
index d202a54..0000000
--- a/html/bayesnet/classifiers/TANLd.cc.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TANLd.cc<span style="font-size: 80%;"> (<a href="TANLd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">17</td>
-            <td class="headerCovTableEntry">17</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="TANLd.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L8">bayesnet::TANLd::TANLd()</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L9">bayesnet::TANLd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L30">bayesnet::TANLd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.cc.gcov.html#L25">bayesnet::TANLd::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TANLd.cc.gcov.frameset.html b/html/bayesnet/classifiers/TANLd.cc.gcov.frameset.html
deleted file mode 100644
index f5abeeb..0000000
--- a/html/bayesnet/classifiers/TANLd.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="TANLd.cc.gcov.overview.html" name="overview">
-          <frame src="TANLd.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/TANLd.cc.gcov.html b/html/bayesnet/classifiers/TANLd.cc.gcov.html
deleted file mode 100644
index d4a6403..0000000
--- a/html/bayesnet/classifiers/TANLd.cc.gcov.html
+++ /dev/null
@@ -1,120 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TANLd.cc<span style="font-size: 80%;"> (source / <a href="TANLd.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">17</td>
-            <td class="headerCovTableEntry">17</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;TANLd.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">          68 :     TANLd::TANLd() : TAN(), Proposal(dataset, features, className) {}</span></span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC">          20 :     TANLd&amp; TANLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
-<span id="L12"><span class="lineNum">      12</span>              :     {</span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">          20 :         checkInput(X_, y_);</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">          20 :         features = features_;</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          20 :         className = className_;</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">          20 :         Xf = X_;</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          20 :         y = y_;</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          20 :         states = fit_local_discretization(y);</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :         // We have discretized the input data</span>
-<span id="L21"><span class="lineNum">      21</span>              :         // 1st we need to fit the model to build the normal TAN structure, TAN::fit initializes the base Bayesian network</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          20 :         TAN::fit(dataset, features, className, states);</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          20 :         states = localDiscretizationProposal(states, model);</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">          20 :         return *this;</span></span>
-<span id="L25"><span class="lineNum">      25</span>              : </span>
-<span id="L26"><span class="lineNum">      26</span>              :     }</span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">          16 :     torch::Tensor TANLd::predict(torch::Tensor&amp; X)</span></span>
-<span id="L28"><span class="lineNum">      28</span>              :     {</span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">          16 :         auto Xt = prepareX(X);</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">          32 :         return TAN::predict(Xt);</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">          16 :     }</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; TANLd::graph(const std::string&amp; name) const</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :     {</span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">           4 :         return TAN::graph(name);</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :     }</span>
-<span id="L36"><span class="lineNum">      36</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TANLd.cc.gcov.overview.html b/html/bayesnet/classifiers/TANLd.cc.gcov.overview.html
deleted file mode 100644
index 3904a1e..0000000
--- a/html/bayesnet/classifiers/TANLd.cc.gcov.overview.html
+++ /dev/null
@@ -1,29 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="TANLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="TANLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="TANLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="TANLd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="TANLd.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="TANLd.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="TANLd.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="TANLd.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="TANLd.cc.gcov.html#L21" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="TANLd.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="TANLd.cc.gcov.png" width=80 height=35 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/TANLd.cc.gcov.png b/html/bayesnet/classifiers/TANLd.cc.gcov.png
deleted file mode 100644
index 72788e6b4b5ac2d82fb4fcd40963a5962b545616..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 336
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$6!VDze^epfMQW60^A+G=b|6c_J%iqVwzWUF=
zunH&+rp|e9UJ7J$7I;J!GcfQS0b$0e+I-SL!F!%Ajv*GkYlAy^k0|gcOCR7$Y2NTZ
zkJr?t;YXF#cGm`(=WDq|z7?>_PTWutTf6rI^F{Mx!6jYy-tZrZ?YX`|#xDAu$o-%T
zjS|UBGlC~=I?kp(Z3d&#a<-WMNh`00b#AaY`1I%!Gc&g**YD5Dba6EBR_o9z7hSwc
z)>x}+tJ9)KO<bJsBG%ZfNC`jH*}O<2bkagQ#eIL5Io!(s`)RTM)6PW=%EwmgR$PC0
z@xRisQ*#B%V+|kinoRxLZ!R12l6lI;<?+uap8l{Veeubv^M4*y=@iYDKK5#Q%0J1+
csquH1JNV|EN`ATR2GFMrp00i_>zopr03u+I9{>OV

diff --git a/html/bayesnet/classifiers/TANLd.h.func-c.html b/html/bayesnet/classifiers/TANLd.h.func-c.html
deleted file mode 100644
index e388977..0000000
--- a/html/bayesnet/classifiers/TANLd.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TANLd.h<span style="font-size: 80%;"> (<a href="TANLd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="TANLd.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.h.gcov.html#L15">bayesnet::TANLd::~TANLd()</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TANLd.h.func.html b/html/bayesnet/classifiers/TANLd.h.func.html
deleted file mode 100644
index cd88f69..0000000
--- a/html/bayesnet/classifiers/TANLd.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TANLd.h<span style="font-size: 80%;"> (<a href="TANLd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="TANLd.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="TANLd.h.gcov.html#L15">bayesnet::TANLd::~TANLd()</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TANLd.h.gcov.frameset.html b/html/bayesnet/classifiers/TANLd.h.gcov.frameset.html
deleted file mode 100644
index e27ea9f..0000000
--- a/html/bayesnet/classifiers/TANLd.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="TANLd.h.gcov.overview.html" name="overview">
-          <frame src="TANLd.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/classifiers/TANLd.h.gcov.html b/html/bayesnet/classifiers/TANLd.h.gcov.html
deleted file mode 100644
index 06ed158..0000000
--- a/html/bayesnet/classifiers/TANLd.h.gcov.html
+++ /dev/null
@@ -1,108 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TANLd.h<span style="font-size: 80%;"> (source / <a href="TANLd.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef TANLD_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define TANLD_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;TAN.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Proposal.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : </span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class TANLd : public TAN, public Proposal {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     private:</span>
-<span id="L15"><span class="lineNum">      15</span>              :     public:</span>
-<span id="L16"><span class="lineNum">      16</span>              :         TANLd();</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">          20 :         virtual ~TANLd() = default;</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         TANLd&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;TAN&quot;) const override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         torch::Tensor predict(torch::Tensor&amp; X) override;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         static inline std::string version() { return &quot;0.0.1&quot;; };</span>
-<span id="L22"><span class="lineNum">      22</span>              :     };</span>
-<span id="L23"><span class="lineNum">      23</span>              : }</span>
-<span id="L24"><span class="lineNum">      24</span>              : #endif // !TANLD_H</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/TANLd.h.gcov.overview.html b/html/bayesnet/classifiers/TANLd.h.gcov.overview.html
deleted file mode 100644
index dfc5d32..0000000
--- a/html/bayesnet/classifiers/TANLd.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TANLd.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="TANLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="TANLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="TANLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="TANLd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="TANLd.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="TANLd.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="TANLd.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="TANLd.h.gcov.png" width=80 height=23 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/classifiers/TANLd.h.gcov.png b/html/bayesnet/classifiers/TANLd.h.gcov.png
deleted file mode 100644
index dd5b3fea99a09e8b2f36ce40bf7a089524d46984..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 260
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIl!VDzmo21VNaRPioT>t<7zX}MJzmJW5^`C)Z
z6;K>Zo%7zj6v*Z*@Q5sCVBk9f!i-b3`J{n@lRRA<Lo_DNoz%_Spuppj+MLXK^T50P
zv!7n(Vte{U$irFgX~yoO0{6F?@+Pd1E@_v2z_w_&&D9Blb@hz<DwkY+V{8ADUB@hQ
zg6FA|U9!xLS{xOhHwm7pxe)sI1HabubwU%Jr!SeZxK@kVIH)8dg2`U2zG_Bnb|c$D
yG1W4KDw)f1TW9VssIdL*KWVXNf0J}nf%@tX3Qex-u9*T|$KdJe=d#Wzp$Pylt6?Jm

diff --git a/html/bayesnet/classifiers/index-detail-sort-f.html b/html/bayesnet/classifiers/index-detail-sort-f.html
deleted file mode 100644
index 3bd48a5..0000000
--- a/html/bayesnet/classifiers/index-detail-sort-f.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">380</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">72</td>
-            <td class="headerCovTableEntry">72</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.h.gcov.frameset.html">KDB.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.h.gcov.frameset.html">KDBLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.h.gcov.frameset.html">SPODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.h.gcov.frameset.html">SPODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.h.gcov.frameset.html">SPnDE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.h.gcov.frameset.html">TAN.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.h.gcov.frameset.html">TANLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.cc.gcov.frameset.html">SPODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.cc.gcov.frameset.html">SPnDE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.h.gcov.frameset.html">Classifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.cc.gcov.frameset.html">KDBLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.cc.gcov.frameset.html">TAN.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.cc.gcov.frameset.html">TANLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.cc.gcov.frameset.html">KDB.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.3&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">52</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.cc.gcov.frameset.html">SPODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">6</td>
-              <td class="coverNumDflt">6</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Proposal.cc.gcov.frameset.html">Proposal.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.7&nbsp;%</td>
-              <td class="coverNumDflt">86</td>
-              <td class="coverNumDflt">84</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.cc.gcov.frameset.html">Classifier.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/index-detail-sort-l.html b/html/bayesnet/classifiers/index-detail-sort-l.html
deleted file mode 100644
index e3933a6..0000000
--- a/html/bayesnet/classifiers/index-detail-sort-l.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">380</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">72</td>
-            <td class="headerCovTableEntry">72</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.cc.gcov.frameset.html">KDB.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.3&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">52</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Proposal.cc.gcov.frameset.html">Proposal.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.7&nbsp;%</td>
-              <td class="coverNumDflt">86</td>
-              <td class="coverNumDflt">84</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.h.gcov.frameset.html">KDB.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.h.gcov.frameset.html">KDBLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.h.gcov.frameset.html">SPODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.h.gcov.frameset.html">SPODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.h.gcov.frameset.html">SPnDE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.h.gcov.frameset.html">TAN.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.h.gcov.frameset.html">TANLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.h.gcov.frameset.html">Classifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.cc.gcov.frameset.html">SPODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.cc.gcov.frameset.html">SPnDE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.cc.gcov.frameset.html">KDBLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.cc.gcov.frameset.html">TANLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.cc.gcov.frameset.html">TAN.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.cc.gcov.frameset.html">SPODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">6</td>
-              <td class="coverNumDflt">6</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.cc.gcov.frameset.html">Classifier.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/index-detail.html b/html/bayesnet/classifiers/index-detail.html
deleted file mode 100644
index e516b23..0000000
--- a/html/bayesnet/classifiers/index-detail.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">380</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">72</td>
-            <td class="headerCovTableEntry">72</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.cc.gcov.frameset.html">Classifier.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.h.gcov.frameset.html">Classifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.cc.gcov.frameset.html">KDB.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.3&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">52</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.h.gcov.frameset.html">KDB.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.cc.gcov.frameset.html">KDBLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.h.gcov.frameset.html">KDBLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Proposal.cc.gcov.frameset.html">Proposal.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.7&nbsp;%</td>
-              <td class="coverNumDflt">86</td>
-              <td class="coverNumDflt">84</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.cc.gcov.frameset.html">SPODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.h.gcov.frameset.html">SPODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.cc.gcov.frameset.html">SPODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">6</td>
-              <td class="coverNumDflt">6</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.h.gcov.frameset.html">SPODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.cc.gcov.frameset.html">SPnDE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.h.gcov.frameset.html">SPnDE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.cc.gcov.frameset.html">TAN.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.h.gcov.frameset.html">TAN.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.cc.gcov.frameset.html">TANLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.h.gcov.frameset.html">TANLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/index-sort-f.html b/html/bayesnet/classifiers/index-sort-f.html
deleted file mode 100644
index 3bd48a5..0000000
--- a/html/bayesnet/classifiers/index-sort-f.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">380</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">72</td>
-            <td class="headerCovTableEntry">72</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.h.gcov.frameset.html">KDB.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.h.gcov.frameset.html">KDBLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.h.gcov.frameset.html">SPODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.h.gcov.frameset.html">SPODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.h.gcov.frameset.html">SPnDE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.h.gcov.frameset.html">TAN.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.h.gcov.frameset.html">TANLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.cc.gcov.frameset.html">SPODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.cc.gcov.frameset.html">SPnDE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.h.gcov.frameset.html">Classifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.cc.gcov.frameset.html">KDBLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.cc.gcov.frameset.html">TAN.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.cc.gcov.frameset.html">TANLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.cc.gcov.frameset.html">KDB.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.3&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">52</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.cc.gcov.frameset.html">SPODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">6</td>
-              <td class="coverNumDflt">6</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Proposal.cc.gcov.frameset.html">Proposal.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.7&nbsp;%</td>
-              <td class="coverNumDflt">86</td>
-              <td class="coverNumDflt">84</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.cc.gcov.frameset.html">Classifier.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/index-sort-l.html b/html/bayesnet/classifiers/index-sort-l.html
deleted file mode 100644
index e3933a6..0000000
--- a/html/bayesnet/classifiers/index-sort-l.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">380</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">72</td>
-            <td class="headerCovTableEntry">72</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.cc.gcov.frameset.html">KDB.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.3&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">52</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Proposal.cc.gcov.frameset.html">Proposal.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.7&nbsp;%</td>
-              <td class="coverNumDflt">86</td>
-              <td class="coverNumDflt">84</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.h.gcov.frameset.html">KDB.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.h.gcov.frameset.html">KDBLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.h.gcov.frameset.html">SPODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.h.gcov.frameset.html">SPODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.h.gcov.frameset.html">SPnDE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.h.gcov.frameset.html">TAN.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.h.gcov.frameset.html">TANLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.h.gcov.frameset.html">Classifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.cc.gcov.frameset.html">SPODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.cc.gcov.frameset.html">SPnDE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.cc.gcov.frameset.html">KDBLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.cc.gcov.frameset.html">TANLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.cc.gcov.frameset.html">TAN.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.cc.gcov.frameset.html">SPODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">6</td>
-              <td class="coverNumDflt">6</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.cc.gcov.frameset.html">Classifier.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/classifiers/index.html b/html/bayesnet/classifiers/index.html
deleted file mode 100644
index e516b23..0000000
--- a/html/bayesnet/classifiers/index.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/classifiers</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">380</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">72</td>
-            <td class="headerCovTableEntry">72</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.cc.gcov.frameset.html">Classifier.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverNumDflt">126</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Classifier.h.gcov.frameset.html">Classifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.cc.gcov.frameset.html">KDB.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.3&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">52</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDB.h.gcov.frameset.html">KDB.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.cc.gcov.frameset.html">KDBLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="KDBLd.h.gcov.frameset.html">KDBLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Proposal.cc.gcov.frameset.html">Proposal.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.7&nbsp;%</td>
-              <td class="coverNumDflt">86</td>
-              <td class="coverNumDflt">84</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.cc.gcov.frameset.html">SPODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODE.h.gcov.frameset.html">SPODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.cc.gcov.frameset.html">SPODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">6</td>
-              <td class="coverNumDflt">6</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPODELd.h.gcov.frameset.html">SPODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.cc.gcov.frameset.html">SPnDE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverNumDflt">14</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="SPnDE.h.gcov.frameset.html">SPnDE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.cc.gcov.frameset.html">TAN.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TAN.h.gcov.frameset.html">TAN.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.cc.gcov.frameset.html">TANLd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverNumDflt">17</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="TANLd.h.gcov.frameset.html">TANLd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.cc.func-c.html b/html/bayesnet/ensembles/A2DE.cc.func-c.html
deleted file mode 100644
index 306cddd..0000000
--- a/html/bayesnet/ensembles/A2DE.cc.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.cc<span style="font-size: 80%;"> (<a href="A2DE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">23</td>
-            <td class="headerCovTableEntry">23</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="A2DE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L34">bayesnet::A2DE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L12">bayesnet::A2DE::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L8">bayesnet::A2DE::A2DE(bool)</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L21">bayesnet::A2DE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.cc.func.html b/html/bayesnet/ensembles/A2DE.cc.func.html
deleted file mode 100644
index 50e0946..0000000
--- a/html/bayesnet/ensembles/A2DE.cc.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.cc<span style="font-size: 80%;"> (<a href="A2DE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">23</td>
-            <td class="headerCovTableEntry">23</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="A2DE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L8">bayesnet::A2DE::A2DE(bool)</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L21">bayesnet::A2DE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L34">bayesnet::A2DE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.cc.gcov.html#L12">bayesnet::A2DE::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.cc.gcov.frameset.html b/html/bayesnet/ensembles/A2DE.cc.gcov.frameset.html
deleted file mode 100644
index a5f7f37..0000000
--- a/html/bayesnet/ensembles/A2DE.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="A2DE.cc.gcov.overview.html" name="overview">
-          <frame src="A2DE.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/A2DE.cc.gcov.html b/html/bayesnet/ensembles/A2DE.cc.gcov.html
deleted file mode 100644
index 197b670..0000000
--- a/html/bayesnet/ensembles/A2DE.cc.gcov.html
+++ /dev/null
@@ -1,124 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.cc<span style="font-size: 80%;"> (source / <a href="A2DE.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">23</td>
-            <td class="headerCovTableEntry">23</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;A2DE.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">          12 :     A2DE::A2DE(bool predict_voting) : Ensemble(predict_voting)</span></span>
-<span id="L11"><span class="lineNum">      11</span>              :     {</span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">          24 :         validHyperparameters = { &quot;predict_voting&quot; };</span></span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">          36 :     }</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">           8 :     void A2DE::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
-<span id="L15"><span class="lineNum">      15</span>              :     {</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">           8 :         auto hyperparameters = hyperparameters_;</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">           8 :         if (hyperparameters.contains(&quot;predict_voting&quot;)) {</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">           8 :             predict_voting = hyperparameters[&quot;predict_voting&quot;];</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">           8 :             hyperparameters.erase(&quot;predict_voting&quot;);</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :         }</span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">           8 :         Classifier::setHyperparameters(hyperparameters);</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">           8 :     }</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          16 :     void A2DE::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L24"><span class="lineNum">      24</span>              :     {</span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">          16 :         models.clear();</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          16 :         significanceModels.clear();</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">         124 :         for (int i = 0; i &lt; features.size() - 1; ++i) {</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">         564 :             for (int j = i + 1; j &lt; features.size(); ++j) {</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">         456 :                 auto model = std::make_unique&lt;SPnDE&gt;(std::vector&lt;int&gt;({ i, j }));</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">         456 :                 models.push_back(std::move(model));</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">         456 :             }</span></span>
-<span id="L32"><span class="lineNum">      32</span>              :         }</span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">          16 :         n_models = static_cast&lt;unsigned&gt;(models.size());</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">          16 :         significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">          16 :     }</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; A2DE::graph(const std::string&amp; title) const</span></span>
-<span id="L37"><span class="lineNum">      37</span>              :     {</span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">           4 :         return Ensemble::graph(title);</span></span>
-<span id="L39"><span class="lineNum">      39</span>              :     }</span>
-<span id="L40"><span class="lineNum">      40</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.cc.gcov.overview.html b/html/bayesnet/ensembles/A2DE.cc.gcov.overview.html
deleted file mode 100644
index 0606f56..0000000
--- a/html/bayesnet/ensembles/A2DE.cc.gcov.overview.html
+++ /dev/null
@@ -1,30 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="A2DE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="A2DE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="A2DE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="A2DE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="A2DE.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="A2DE.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="A2DE.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="A2DE.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="A2DE.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="A2DE.cc.gcov.html#L25" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="A2DE.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="A2DE.cc.gcov.png" width=80 height=39 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/A2DE.cc.gcov.png b/html/bayesnet/ensembles/A2DE.cc.gcov.png
deleted file mode 100644
index e1917a4fab902d6595ec091a22ae01d083d4d9fb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 324
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$5!VDy5`z06wDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;3ZEN#}JF&xl?Wm9#!CQ-O7BqsifiW
zcd_|)0wRx#?0X)|=y&_vc|1RV=YEkFuZ2EIy-+Ag5SZ?(dHle4@dx33w--r0Gt8Iq
z*8aoPV;HJfn;9(PDS2dv^7rUjj0^=0jCab;*m-j9&Og*Gb8>R9kJ*i*&)mK$T<1N^
zyTwse`HP=r?BVD0uJbNeYu0&kWh3vcNJHU0O%ZH7fjs&z+8?%sha8f9l@ZJ(JAXr&
z(tPfMZ>LTb-d*&0`?gEQ2U9Lyc(8e4fLKxU*{>BEDMiKwmkYnM|6&p-Ju-Lmo}=wR
P-!XW)`njxgN@xNARrZ9j

diff --git a/html/bayesnet/ensembles/A2DE.h.func-c.html b/html/bayesnet/ensembles/A2DE.h.func-c.html
deleted file mode 100644
index eeddf23..0000000
--- a/html/bayesnet/ensembles/A2DE.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.h<span style="font-size: 80%;"> (<a href="A2DE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="A2DE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.h.gcov.html#L13">bayesnet::A2DE::~A2DE()</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.h.func.html b/html/bayesnet/ensembles/A2DE.h.func.html
deleted file mode 100644
index 471300f..0000000
--- a/html/bayesnet/ensembles/A2DE.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.h<span style="font-size: 80%;"> (<a href="A2DE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="A2DE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="A2DE.h.gcov.html#L13">bayesnet::A2DE::~A2DE()</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.h.gcov.frameset.html b/html/bayesnet/ensembles/A2DE.h.gcov.frameset.html
deleted file mode 100644
index 7054d6e..0000000
--- a/html/bayesnet/ensembles/A2DE.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="A2DE.h.gcov.overview.html" name="overview">
-          <frame src="A2DE.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/A2DE.h.gcov.html b/html/bayesnet/ensembles/A2DE.h.gcov.html
deleted file mode 100644
index f87081b..0000000
--- a/html/bayesnet/ensembles/A2DE.h.gcov.html
+++ /dev/null
@@ -1,106 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.h<span style="font-size: 80%;"> (source / <a href="A2DE.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef A2DE_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define A2DE_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;bayesnet/classifiers/SPnDE.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Ensemble.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : namespace bayesnet {</span>
-<span id="L12"><span class="lineNum">      12</span>              :     class A2DE : public Ensemble {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     public:</span>
-<span id="L14"><span class="lineNum">      14</span>              :         A2DE(bool predict_voting = false);</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC tlaBgGNC">          12 :         virtual ~A2DE() {};</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         void setHyperparameters(const nlohmann::json&amp; hyperparameters) override;</span>
-<span id="L17"><span class="lineNum">      17</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; title = &quot;A2DE&quot;) const override;</span>
-<span id="L18"><span class="lineNum">      18</span>              :     protected:</span>
-<span id="L19"><span class="lineNum">      19</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :     };</span>
-<span id="L21"><span class="lineNum">      21</span>              : }</span>
-<span id="L22"><span class="lineNum">      22</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/A2DE.h.gcov.overview.html b/html/bayesnet/ensembles/A2DE.h.gcov.overview.html
deleted file mode 100644
index 4ebfd35..0000000
--- a/html/bayesnet/ensembles/A2DE.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/A2DE.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="A2DE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="A2DE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="A2DE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="A2DE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="A2DE.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="A2DE.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="A2DE.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="A2DE.h.gcov.png" width=80 height=21 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/A2DE.h.gcov.png b/html/bayesnet/ensembles/A2DE.h.gcov.png
deleted file mode 100644
index 335f3bc0d96657c35e9cb0c00b3eff576713a3d0..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 246
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIq!VDyr+OfR{QW60^A+G=b|6c_J%iqVwzWUF=
zunH&+rp|e9UJ7J$7I;J!GcfQS0b$0e+I-SL!4^*!#}JK)Qzy0a9#G(6`N(#jD}{N_
z|GbSaEJU8WPJB>s_}pas)1tl#PgyrDl5=R3kkdDfbg8aq^f#Q9%K6@W#o-wBD+g;2
z@%kK9Z7yc)eD~+>>+5^ZFPm=4p_JB_d2B-{qx`$Btn<^)e!Y^pHNnX1^unZTDX;D)
lY~cRO?UsE_$SS)=Kjg3c@*Q0J!+`E#@O1TaS?83{1OOYtUP%A|

diff --git a/html/bayesnet/ensembles/AODE.cc.func-c.html b/html/bayesnet/ensembles/AODE.cc.func-c.html
deleted file mode 100644
index ed8871d..0000000
--- a/html/bayesnet/ensembles/AODE.cc.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODE.cc<span style="font-size: 80%;"> (<a href="AODE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">20</td>
-            <td class="headerCovTableEntry">20</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="AODE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L32">bayesnet::AODE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L13">bayesnet::AODE::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L22">bayesnet::AODE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L8">bayesnet::AODE::AODE(bool)</a></td>
-              
-              <td class="coverFnHi">76</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODE.cc.func.html b/html/bayesnet/ensembles/AODE.cc.func.html
deleted file mode 100644
index 073fd53..0000000
--- a/html/bayesnet/ensembles/AODE.cc.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODE.cc<span style="font-size: 80%;"> (<a href="AODE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">20</td>
-            <td class="headerCovTableEntry">20</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="AODE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L8">bayesnet::AODE::AODE(bool)</a></td>
-              
-              <td class="coverFnHi">76</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L22">bayesnet::AODE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">24</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L32">bayesnet::AODE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.cc.gcov.html#L13">bayesnet::AODE::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODE.cc.gcov.frameset.html b/html/bayesnet/ensembles/AODE.cc.gcov.frameset.html
deleted file mode 100644
index 3c1d4a3..0000000
--- a/html/bayesnet/ensembles/AODE.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="AODE.cc.gcov.overview.html" name="overview">
-          <frame src="AODE.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/AODE.cc.gcov.html b/html/bayesnet/ensembles/AODE.cc.gcov.html
deleted file mode 100644
index a07c4e0..0000000
--- a/html/bayesnet/ensembles/AODE.cc.gcov.html
+++ /dev/null
@@ -1,122 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODE.cc<span style="font-size: 80%;"> (source / <a href="AODE.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">20</td>
-            <td class="headerCovTableEntry">20</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;AODE.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">          76 :     AODE::AODE(bool predict_voting) : Ensemble(predict_voting)</span></span>
-<span id="L11"><span class="lineNum">      11</span>              :     {</span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">         152 :         validHyperparameters = { &quot;predict_voting&quot; };</span></span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">         228 :     }</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">           4 :     void AODE::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :     {</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">           4 :         auto hyperparameters = hyperparameters_;</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">           4 :         if (hyperparameters.contains(&quot;predict_voting&quot;)) {</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">           4 :             predict_voting = hyperparameters[&quot;predict_voting&quot;];</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">           4 :             hyperparameters.erase(&quot;predict_voting&quot;);</span></span>
-<span id="L21"><span class="lineNum">      21</span>              :         }</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">           4 :         Classifier::setHyperparameters(hyperparameters);</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">           4 :     }</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">          24 :     void AODE::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :     {</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          24 :         models.clear();</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">          24 :         significanceModels.clear();</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">         188 :         for (int i = 0; i &lt; features.size(); ++i) {</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">         164 :             models.push_back(std::make_unique&lt;SPODE&gt;(i));</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :         }</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">          24 :         n_models = models.size();</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">          24 :         significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">          24 :     }</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; AODE::graph(const std::string&amp; title) const</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :     {</span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">           4 :         return Ensemble::graph(title);</span></span>
-<span id="L37"><span class="lineNum">      37</span>              :     }</span>
-<span id="L38"><span class="lineNum">      38</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODE.cc.gcov.overview.html b/html/bayesnet/ensembles/AODE.cc.gcov.overview.html
deleted file mode 100644
index d7e43cc..0000000
--- a/html/bayesnet/ensembles/AODE.cc.gcov.overview.html
+++ /dev/null
@@ -1,30 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="AODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="AODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="AODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="AODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="AODE.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="AODE.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="AODE.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="AODE.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="AODE.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="AODE.cc.gcov.html#L25" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="AODE.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="AODE.cc.gcov.png" width=80 height=37 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/AODE.cc.gcov.png b/html/bayesnet/ensembles/AODE.cc.gcov.png
deleted file mode 100644
index 682ccab2a66cd7a5a31f4c362faecaa3be4c04a2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 307
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$A!VDxAx-dEcDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;6YCp#}JF&xgiGyk0@|l;q&3X!1(R{
z?aHbZ1z87b7fg;66Q9wdZkOI7&tkZ3f|t)9Ma`sHlco!Ft$e;;z(3!l+4fELJ&kK&
zN5qvJ@)YcT1~K+HsccZFIV|9CBrd_xL~EA!^rpy$D>Gjn;>j-4uk;PsTJ3JS(VXMI
zQHHNb#FT9}0w>?hjx(P#yJxfD`bRfB=FjBaE4VUGsrRXyrI>|TOxJJebIJEqJ&mh0
v3w(~7ODY=1XRO$zZfu|DZlV=cUoOAu;<nTblPXW3XBa$P{an^LB{Ts5P&;vz

diff --git a/html/bayesnet/ensembles/AODE.h.func-c.html b/html/bayesnet/ensembles/AODE.h.func-c.html
deleted file mode 100644
index 4781506..0000000
--- a/html/bayesnet/ensembles/AODE.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODE.h<span style="font-size: 80%;"> (<a href="AODE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="AODE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.h.gcov.html#L13">bayesnet::AODE::~AODE()</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODE.h.func.html b/html/bayesnet/ensembles/AODE.h.func.html
deleted file mode 100644
index f9dcc65..0000000
--- a/html/bayesnet/ensembles/AODE.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODE.h<span style="font-size: 80%;"> (<a href="AODE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="AODE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODE.h.gcov.html#L13">bayesnet::AODE::~AODE()</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODE.h.gcov.frameset.html b/html/bayesnet/ensembles/AODE.h.gcov.frameset.html
deleted file mode 100644
index b3184e8..0000000
--- a/html/bayesnet/ensembles/AODE.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="AODE.h.gcov.overview.html" name="overview">
-          <frame src="AODE.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/AODE.h.gcov.html b/html/bayesnet/ensembles/AODE.h.gcov.html
deleted file mode 100644
index 505e06d..0000000
--- a/html/bayesnet/ensembles/AODE.h.gcov.html
+++ /dev/null
@@ -1,106 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODE.h<span style="font-size: 80%;"> (source / <a href="AODE.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef AODE_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define AODE_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;bayesnet/classifiers/SPODE.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Ensemble.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : namespace bayesnet {</span>
-<span id="L12"><span class="lineNum">      12</span>              :     class AODE : public Ensemble {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     public:</span>
-<span id="L14"><span class="lineNum">      14</span>              :         AODE(bool predict_voting = false);</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC tlaBgGNC">          28 :         virtual ~AODE() {};</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         void setHyperparameters(const nlohmann::json&amp; hyperparameters) override;</span>
-<span id="L17"><span class="lineNum">      17</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; title = &quot;AODE&quot;) const override;</span>
-<span id="L18"><span class="lineNum">      18</span>              :     protected:</span>
-<span id="L19"><span class="lineNum">      19</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :     };</span>
-<span id="L21"><span class="lineNum">      21</span>              : }</span>
-<span id="L22"><span class="lineNum">      22</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODE.h.gcov.overview.html b/html/bayesnet/ensembles/AODE.h.gcov.overview.html
deleted file mode 100644
index 44ca0dd..0000000
--- a/html/bayesnet/ensembles/AODE.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODE.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="AODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="AODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="AODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="AODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="AODE.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="AODE.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="AODE.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="AODE.h.gcov.png" width=80 height=21 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/AODE.h.gcov.png b/html/bayesnet/ensembles/AODE.h.gcov.png
deleted file mode 100644
index 335f3bc0d96657c35e9cb0c00b3eff576713a3d0..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 246
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIq!VDyr+OfR{QW60^A+G=b|6c_J%iqVwzWUF=
zunH&+rp|e9UJ7J$7I;J!GcfQS0b$0e+I-SL!4^*!#}JK)Qzy0a9#G(6`N(#jD}{N_
z|GbSaEJU8WPJB>s_}pas)1tl#PgyrDl5=R3kkdDfbg8aq^f#Q9%K6@W#o-wBD+g;2
z@%kK9Z7yc)eD~+>>+5^ZFPm=4p_JB_d2B-{qx`$Btn<^)e!Y^pHNnX1^unZTDX;D)
lY~cRO?UsE_$SS)=Kjg3c@*Q0J!+`E#@O1TaS?83{1OOYtUP%A|

diff --git a/html/bayesnet/ensembles/AODELd.cc.func-c.html b/html/bayesnet/ensembles/AODELd.cc.func-c.html
deleted file mode 100644
index 9649bd0..0000000
--- a/html/bayesnet/ensembles/AODELd.cc.func-c.html
+++ /dev/null
@@ -1,118 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODELd.cc<span style="font-size: 80%;"> (<a href="AODELd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">24</td>
-            <td class="headerCovTableEntry">24</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="AODELd.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L41">bayesnet::AODELd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L26">bayesnet::AODELd::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L11">bayesnet::AODELd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L35">bayesnet::AODELd::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L8">bayesnet::AODELd::AODELd(bool)</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODELd.cc.func.html b/html/bayesnet/ensembles/AODELd.cc.func.html
deleted file mode 100644
index 1480bb3..0000000
--- a/html/bayesnet/ensembles/AODELd.cc.func.html
+++ /dev/null
@@ -1,118 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODELd.cc<span style="font-size: 80%;"> (<a href="AODELd.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">24</td>
-            <td class="headerCovTableEntry">24</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="AODELd.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L8">bayesnet::AODELd::AODELd(bool)</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L26">bayesnet::AODELd::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L11">bayesnet::AODELd::fit(at::Tensor&amp;, at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L41">bayesnet::AODELd::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.cc.gcov.html#L35">bayesnet::AODELd::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODELd.cc.gcov.frameset.html b/html/bayesnet/ensembles/AODELd.cc.gcov.frameset.html
deleted file mode 100644
index 6ad9c56..0000000
--- a/html/bayesnet/ensembles/AODELd.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="AODELd.cc.gcov.overview.html" name="overview">
-          <frame src="AODELd.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/AODELd.cc.gcov.html b/html/bayesnet/ensembles/AODELd.cc.gcov.html
deleted file mode 100644
index ec90eb3..0000000
--- a/html/bayesnet/ensembles/AODELd.cc.gcov.html
+++ /dev/null
@@ -1,131 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODELd.cc<span style="font-size: 80%;"> (source / <a href="AODELd.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">24</td>
-            <td class="headerCovTableEntry">24</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;AODELd.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span> <span class="tlaGNC tlaBgGNC">          68 :     AODELd::AODELd(bool predict_voting) : Ensemble(predict_voting), Proposal(dataset, features, className)</span></span>
-<span id="L11"><span class="lineNum">      11</span>              :     {</span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">          68 :     }</span></span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">          20 :     AODELd&amp; AODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
-<span id="L14"><span class="lineNum">      14</span>              :     {</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          20 :         checkInput(X_, y_);</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">          20 :         features = features_;</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          20 :         className = className_;</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          20 :         Xf = X_;</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          20 :         y = y_;</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :         // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">          20 :         states = fit_local_discretization(y);</span></span>
-<span id="L22"><span class="lineNum">      22</span>              :         // We have discretized the input data</span>
-<span id="L23"><span class="lineNum">      23</span>              :         // 1st we need to fit the model to build the normal TAN structure, TAN::fit initializes the base Bayesian network</span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">          20 :         Ensemble::fit(dataset, features, className, states);</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">          20 :         return *this;</span></span>
-<span id="L26"><span class="lineNum">      26</span>              : </span>
-<span id="L27"><span class="lineNum">      27</span>              :     }</span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          20 :     void AODELd::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :     {</span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">          20 :         models.clear();</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">         168 :         for (int i = 0; i &lt; features.size(); ++i) {</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">         148 :             models.push_back(std::make_unique&lt;SPODELd&gt;(i));</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :         }</span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">          20 :         n_models = models.size();</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">          20 :         significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">          20 :     }</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">          20 :     void AODELd::trainModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L38"><span class="lineNum">      38</span>              :     {</span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         168 :         for (const auto&amp; model : models) {</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">         148 :             model-&gt;fit(Xf, y, features, className, states);</span></span>
-<span id="L41"><span class="lineNum">      41</span>              :         }</span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">          20 :     }</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; AODELd::graph(const std::string&amp; name) const</span></span>
-<span id="L44"><span class="lineNum">      44</span>              :     {</span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">           4 :         return Ensemble::graph(name);</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :     }</span>
-<span id="L47"><span class="lineNum">      47</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODELd.cc.gcov.overview.html b/html/bayesnet/ensembles/AODELd.cc.gcov.overview.html
deleted file mode 100644
index 4a5392b..0000000
--- a/html/bayesnet/ensembles/AODELd.cc.gcov.overview.html
+++ /dev/null
@@ -1,32 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="AODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="AODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="AODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="AODELd.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="AODELd.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="AODELd.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="AODELd.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="AODELd.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="AODELd.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="AODELd.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="AODELd.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="AODELd.cc.gcov.html#L33" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="AODELd.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="AODELd.cc.gcov.png" width=80 height=46 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/AODELd.cc.gcov.png b/html/bayesnet/ensembles/AODELd.cc.gcov.png
deleted file mode 100644
index 820461b51d180a7ebdb0acbd2bb4e8974bae5b5c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 388
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$J!VDzayaT#`lth3}i0l9V|5pLQ^7pZ^ul_SI
ztOAOIsdL_&mjc<G1s;*b3=DinK$vl=HlH*D1EY|qi(`mI@7B<6(ZdQHJ<>0@5}EJR
zZ(p!r(bxZRp4qd%>^Us_=5f#L<H~`Iy!_MLX3O1R%eeX^FQmupd^|(CWuAN7;fOCy
zhEa)P2flyRG^kw^u4vA3q+H#v!D|Zh3!%_Glg^!Hw4XV-QQ+yZ6FegRZ60hwcf<OQ
zY>Sy_P*up%DRWcdNqWGWPD`ecuzy?}%4%K--}nr|CKR@5b=-TnXga59mdyR4gIR}X
z8uA)$53~Ab7XM@OCfBDsZt6HjL^o?i&OH-4(>L9~;D>K@_^vLU<9r*6iZ)D+u~oNR
zwo1Zx)%Fc57e1KCB=_a3JdgV_hLb{W2Z~q{0`s@{*VtH|edQN$|A)z8=VMol=X&ip
eRrvk=Q)W}!hczr>PkDer#^CAd=d#Wzp$PzE(VT+-

diff --git a/html/bayesnet/ensembles/AODELd.h.func-c.html b/html/bayesnet/ensembles/AODELd.h.func-c.html
deleted file mode 100644
index 1efbbbd..0000000
--- a/html/bayesnet/ensembles/AODELd.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODELd.h<span style="font-size: 80%;"> (<a href="AODELd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="AODELd.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.h.gcov.html#L15">bayesnet::AODELd::~AODELd()</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODELd.h.func.html b/html/bayesnet/ensembles/AODELd.h.func.html
deleted file mode 100644
index ac31416..0000000
--- a/html/bayesnet/ensembles/AODELd.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODELd.h<span style="font-size: 80%;"> (<a href="AODELd.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="AODELd.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="AODELd.h.gcov.html#L15">bayesnet::AODELd::~AODELd()</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODELd.h.gcov.frameset.html b/html/bayesnet/ensembles/AODELd.h.gcov.frameset.html
deleted file mode 100644
index 05a17d3..0000000
--- a/html/bayesnet/ensembles/AODELd.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="AODELd.h.gcov.overview.html" name="overview">
-          <frame src="AODELd.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/AODELd.h.gcov.html b/html/bayesnet/ensembles/AODELd.h.gcov.html
deleted file mode 100644
index eddb474..0000000
--- a/html/bayesnet/ensembles/AODELd.h.gcov.html
+++ /dev/null
@@ -1,109 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - AODELd.h<span style="font-size: 80%;"> (source / <a href="AODELd.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef AODELD_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define AODELD_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;bayesnet/classifiers/Proposal.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;bayesnet/classifiers/SPODELd.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;Ensemble.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : </span>
-<span id="L13"><span class="lineNum">      13</span>              : namespace bayesnet {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     class AODELd : public Ensemble, public Proposal {</span>
-<span id="L15"><span class="lineNum">      15</span>              :     public:</span>
-<span id="L16"><span class="lineNum">      16</span>              :         AODELd(bool predict_voting = true);</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">          20 :         virtual ~AODELd() = default;</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         AODELd&amp; fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_) override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;AODELd&quot;) const override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :     protected:</span>
-<span id="L21"><span class="lineNum">      21</span>              :         void trainModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L22"><span class="lineNum">      22</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L23"><span class="lineNum">      23</span>              :     };</span>
-<span id="L24"><span class="lineNum">      24</span>              : }</span>
-<span id="L25"><span class="lineNum">      25</span>              : #endif // !AODELD_H</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/AODELd.h.gcov.overview.html b/html/bayesnet/ensembles/AODELd.h.gcov.overview.html
deleted file mode 100644
index 2494af7..0000000
--- a/html/bayesnet/ensembles/AODELd.h.gcov.overview.html
+++ /dev/null
@@ -1,27 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="AODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="AODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="AODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="AODELd.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="AODELd.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="AODELd.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="AODELd.h.gcov.html#L13" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="AODELd.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="AODELd.h.gcov.png" width=80 height=24 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/AODELd.h.gcov.png b/html/bayesnet/ensembles/AODELd.h.gcov.png
deleted file mode 100644
index afba66b475d0f1cc70adadfe0748e5da9e975c7f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 261
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIt!VDxsGPYO&DTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;ABr1#}JF&wUfGe4=8ZBq&63`?rway
zKl<;(<w4z^>p4A73i}<5*i=1p73UHm0cDFu_Kt@eR;*OI^^?Egd7$pMzuG%)U1@rB
z)%wRjqx45BBZ3xis;puU*qgAiC}DkW>(fh2PZl|G*e#i`SlF~NGW^e`8n10N`L^%$
z_U9N*s+YVR*Vf*#Q14oyrekXKSFI&>O|xCiRcckFe17K(0-eX;>FVdQ&MBb@01gIa
Ag#Z8m

diff --git a/html/bayesnet/ensembles/BoostAODE.cc.func-c.html b/html/bayesnet/ensembles/BoostAODE.cc.func-c.html
deleted file mode 100644
index b1c0a6e..0000000
--- a/html/bayesnet/ensembles/BoostAODE.cc.func-c.html
+++ /dev/null
@@ -1,146 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - BoostAODE.cc<span style="font-size: 80%;"> (<a href="BoostAODE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.3&nbsp;%</td>
-            <td class="headerCovTableEntry">237</td>
-            <td class="headerCovTableEntry">233</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">9</td>
-            <td class="headerCovTableEntry">9</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="BoostAODE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L390">bayesnet::BoostAODE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L137">bayesnet::BoostAODE::update_weights_block(int, at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L233">bayesnet::BoostAODE::initializeModels()</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L57">bayesnet::BoostAODE::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">88</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L26">bayesnet::BoostAODE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L266">bayesnet::BoostAODE::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L18">bayesnet::BoostAODE::BoostAODE(bool)</a></td>
-              
-              <td class="coverFnHi">168</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L110">bayesnet::update_weights(at::Tensor&amp;, at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">544</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L313">auto bayesnet::BoostAODE::trainModel(at::Tensor const&amp;)::{lambda(auto:1)#1}::operator()&lt;int&gt;(int) const</a></td>
-              
-              <td class="coverFnHi">9700</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/BoostAODE.cc.func.html b/html/bayesnet/ensembles/BoostAODE.cc.func.html
deleted file mode 100644
index 3684782..0000000
--- a/html/bayesnet/ensembles/BoostAODE.cc.func.html
+++ /dev/null
@@ -1,146 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - BoostAODE.cc<span style="font-size: 80%;"> (<a href="BoostAODE.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.3&nbsp;%</td>
-            <td class="headerCovTableEntry">237</td>
-            <td class="headerCovTableEntry">233</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">9</td>
-            <td class="headerCovTableEntry">9</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="BoostAODE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L313">auto bayesnet::BoostAODE::trainModel(at::Tensor const&amp;)::{lambda(auto:1)#1}::operator()&lt;int&gt;(int) const</a></td>
-              
-              <td class="coverFnHi">9700</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L18">bayesnet::BoostAODE::BoostAODE(bool)</a></td>
-              
-              <td class="coverFnHi">168</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L26">bayesnet::BoostAODE::buildModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L390">bayesnet::BoostAODE::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L233">bayesnet::BoostAODE::initializeModels()</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L57">bayesnet::BoostAODE::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json&lt;std::map, std::vector, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector&lt;unsigned char, std::allocator&lt;unsigned char&gt; &gt;, void&gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">88</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L266">bayesnet::BoostAODE::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L137">bayesnet::BoostAODE::update_weights_block(int, at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.cc.gcov.html#L110">bayesnet::update_weights(at::Tensor&amp;, at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">544</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/BoostAODE.cc.gcov.frameset.html b/html/bayesnet/ensembles/BoostAODE.cc.gcov.frameset.html
deleted file mode 100644
index e7b9ea6..0000000
--- a/html/bayesnet/ensembles/BoostAODE.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="BoostAODE.cc.gcov.overview.html" name="overview">
-          <frame src="BoostAODE.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/BoostAODE.cc.gcov.html b/html/bayesnet/ensembles/BoostAODE.cc.gcov.html
deleted file mode 100644
index bfbb152..0000000
--- a/html/bayesnet/ensembles/BoostAODE.cc.gcov.html
+++ /dev/null
@@ -1,480 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - BoostAODE.cc<span style="font-size: 80%;"> (source / <a href="BoostAODE.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.3&nbsp;%</td>
-            <td class="headerCovTableEntry">237</td>
-            <td class="headerCovTableEntry">233</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">9</td>
-            <td class="headerCovTableEntry">9</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;set&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &lt;functional&gt;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;limits.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;tuple&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &lt;folding.hpp&gt;</span>
-<span id="L12"><span class="lineNum">      12</span>              : #include &quot;bayesnet/feature_selection/CFS.h&quot;</span>
-<span id="L13"><span class="lineNum">      13</span>              : #include &quot;bayesnet/feature_selection/FCBF.h&quot;</span>
-<span id="L14"><span class="lineNum">      14</span>              : #include &quot;bayesnet/feature_selection/IWSS.h&quot;</span>
-<span id="L15"><span class="lineNum">      15</span>              : #include &quot;BoostAODE.h&quot;</span>
-<span id="L16"><span class="lineNum">      16</span>              : #include &quot;lib/log/loguru.cpp&quot;</span>
-<span id="L17"><span class="lineNum">      17</span>              : </span>
-<span id="L18"><span class="lineNum">      18</span>              : namespace bayesnet {</span>
-<span id="L19"><span class="lineNum">      19</span>              : </span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC tlaBgGNC">         168 :     BoostAODE::BoostAODE(bool predict_voting) : Ensemble(predict_voting)</span></span>
-<span id="L21"><span class="lineNum">      21</span>              :     {</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">        1848 :         validHyperparameters = {</span></span>
-<span id="L23"><span class="lineNum">      23</span>              :             &quot;maxModels&quot;, &quot;bisection&quot;, &quot;order&quot;, &quot;convergence&quot;, &quot;convergence_best&quot;, &quot;threshold&quot;,</span>
-<span id="L24"><span class="lineNum">      24</span>              :             &quot;select_features&quot;, &quot;maxTolerance&quot;, &quot;predict_voting&quot;, &quot;block_update&quot;</span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">        1848 :         };</span></span>
-<span id="L26"><span class="lineNum">      26</span>              : </span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">         504 :     }</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          92 :     void BoostAODE::buildModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :     {</span>
-<span id="L30"><span class="lineNum">      30</span>              :         // Models shall be built in trainModel</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">          92 :         models.clear();</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">          92 :         significanceModels.clear();</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">          92 :         n_models = 0;</span></span>
-<span id="L34"><span class="lineNum">      34</span>              :         // Prepare the validation dataset</span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">         276 :         auto y_ = dataset.index({ -1, &quot;...&quot; });</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">          92 :         if (convergence) {</span></span>
-<span id="L37"><span class="lineNum">      37</span>              :             // Prepare train &amp; validation sets from train data</span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">          76 :             auto fold = folding::StratifiedKFold(5, y_, 271);</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">          76 :             auto [train, test] = fold.getFold(0);</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">          76 :             auto train_t = torch::tensor(train);</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">          76 :             auto test_t = torch::tensor(test);</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :             // Get train and validation sets</span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">         380 :             X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), train_t });</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">         228 :             y_train = dataset.index({ -1, train_t });</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">         380 :             X_test = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), test_t });</span></span>
-<span id="L46"><span class="lineNum">      46</span> <span class="tlaGNC">         228 :             y_test = dataset.index({ -1, test_t });</span></span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">          76 :             dataset = X_train;</span></span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">          76 :             m = X_train.size(1);</span></span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">          76 :             auto n_classes = states.at(className).size();</span></span>
-<span id="L50"><span class="lineNum">      50</span>              :             // Build dataset with train data</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">          76 :             buildDataset(y_train);</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">          76 :             metrics = Metrics(dataset, features, className, n_classes);</span></span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">          76 :         } else {</span></span>
-<span id="L54"><span class="lineNum">      54</span>              :             // Use all data to train</span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">          64 :             X_train = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), &quot;...&quot; });</span></span>
-<span id="L56"><span class="lineNum">      56</span> <span class="tlaGNC">          16 :             y_train = y_;</span></span>
-<span id="L57"><span class="lineNum">      57</span>              :         }</span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">         900 :     }</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">          88 :     void BoostAODE::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
-<span id="L60"><span class="lineNum">      60</span>              :     {</span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">          88 :         auto hyperparameters = hyperparameters_;</span></span>
-<span id="L62"><span class="lineNum">      62</span> <span class="tlaGNC">          88 :         if (hyperparameters.contains(&quot;order&quot;)) {</span></span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">         100 :             std::vector&lt;std::string&gt; algos = { Orders.ASC, Orders.DESC, Orders.RAND };</span></span>
-<span id="L64"><span class="lineNum">      64</span> <span class="tlaGNC">          20 :             order_algorithm = hyperparameters[&quot;order&quot;];</span></span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">          20 :             if (std::find(algos.begin(), algos.end(), order_algorithm) == algos.end()) {</span></span>
-<span id="L66"><span class="lineNum">      66</span> <span class="tlaGNC">           4 :                 throw std::invalid_argument(&quot;Invalid order algorithm, valid values [&quot; + Orders.ASC + &quot;, &quot; + Orders.DESC + &quot;, &quot; + Orders.RAND + &quot;]&quot;);</span></span>
-<span id="L67"><span class="lineNum">      67</span>              :             }</span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">          16 :             hyperparameters.erase(&quot;order&quot;);</span></span>
-<span id="L69"><span class="lineNum">      69</span> <span class="tlaGNC">          20 :         }</span></span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">          84 :         if (hyperparameters.contains(&quot;convergence&quot;)) {</span></span>
-<span id="L71"><span class="lineNum">      71</span> <span class="tlaGNC">          36 :             convergence = hyperparameters[&quot;convergence&quot;];</span></span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">          36 :             hyperparameters.erase(&quot;convergence&quot;);</span></span>
-<span id="L73"><span class="lineNum">      73</span>              :         }</span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">          84 :         if (hyperparameters.contains(&quot;convergence_best&quot;)) {</span></span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">          12 :             convergence_best = hyperparameters[&quot;convergence_best&quot;];</span></span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">          12 :             hyperparameters.erase(&quot;convergence_best&quot;);</span></span>
-<span id="L77"><span class="lineNum">      77</span>              :         }</span>
-<span id="L78"><span class="lineNum">      78</span> <span class="tlaGNC">          84 :         if (hyperparameters.contains(&quot;bisection&quot;)) {</span></span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">          32 :             bisection = hyperparameters[&quot;bisection&quot;];</span></span>
-<span id="L80"><span class="lineNum">      80</span> <span class="tlaGNC">          32 :             hyperparameters.erase(&quot;bisection&quot;);</span></span>
-<span id="L81"><span class="lineNum">      81</span>              :         }</span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">          84 :         if (hyperparameters.contains(&quot;threshold&quot;)) {</span></span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">          24 :             threshold = hyperparameters[&quot;threshold&quot;];</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">          24 :             hyperparameters.erase(&quot;threshold&quot;);</span></span>
-<span id="L85"><span class="lineNum">      85</span>              :         }</span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">          84 :         if (hyperparameters.contains(&quot;maxTolerance&quot;)) {</span></span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">          44 :             maxTolerance = hyperparameters[&quot;maxTolerance&quot;];</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">          44 :             if (maxTolerance &lt; 1 || maxTolerance &gt; 4)</span></span>
-<span id="L89"><span class="lineNum">      89</span> <span class="tlaGNC">          12 :                 throw std::invalid_argument(&quot;Invalid maxTolerance value, must be greater in [1, 4]&quot;);</span></span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">          32 :             hyperparameters.erase(&quot;maxTolerance&quot;);</span></span>
-<span id="L91"><span class="lineNum">      91</span>              :         }</span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">          72 :         if (hyperparameters.contains(&quot;predict_voting&quot;)) {</span></span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaGNC">           4 :             predict_voting = hyperparameters[&quot;predict_voting&quot;];</span></span>
-<span id="L94"><span class="lineNum">      94</span> <span class="tlaGNC">           4 :             hyperparameters.erase(&quot;predict_voting&quot;);</span></span>
-<span id="L95"><span class="lineNum">      95</span>              :         }</span>
-<span id="L96"><span class="lineNum">      96</span> <span class="tlaGNC">          72 :         if (hyperparameters.contains(&quot;select_features&quot;)) {</span></span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC">          36 :             auto selectedAlgorithm = hyperparameters[&quot;select_features&quot;];</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">         180 :             std::vector&lt;std::string&gt; algos = { SelectFeatures.IWSS, SelectFeatures.CFS, SelectFeatures.FCBF };</span></span>
-<span id="L99"><span class="lineNum">      99</span> <span class="tlaGNC">          36 :             selectFeatures = true;</span></span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">          36 :             select_features_algorithm = selectedAlgorithm;</span></span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">          36 :             if (std::find(algos.begin(), algos.end(), selectedAlgorithm) == algos.end()) {</span></span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">           4 :                 throw std::invalid_argument(&quot;Invalid selectFeatures value, valid values [&quot; + SelectFeatures.IWSS + &quot;, &quot; + SelectFeatures.CFS + &quot;, &quot; + SelectFeatures.FCBF + &quot;]&quot;);</span></span>
-<span id="L103"><span class="lineNum">     103</span>              :             }</span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">          32 :             hyperparameters.erase(&quot;select_features&quot;);</span></span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">          40 :         }</span></span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">          68 :         if (hyperparameters.contains(&quot;block_update&quot;)) {</span></span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">           8 :             block_update = hyperparameters[&quot;block_update&quot;];</span></span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">           8 :             hyperparameters.erase(&quot;block_update&quot;);</span></span>
-<span id="L109"><span class="lineNum">     109</span>              :         }</span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">          68 :         Classifier::setHyperparameters(hyperparameters);</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">         144 :     }</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">         544 :     std::tuple&lt;torch::Tensor&amp;, double, bool&gt; update_weights(torch::Tensor&amp; ytrain, torch::Tensor&amp; ypred, torch::Tensor&amp; weights)</span></span>
-<span id="L113"><span class="lineNum">     113</span>              :     {</span>
-<span id="L114"><span class="lineNum">     114</span> <span class="tlaGNC">         544 :         bool terminate = false;</span></span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">         544 :         double alpha_t = 0;</span></span>
-<span id="L116"><span class="lineNum">     116</span> <span class="tlaGNC">         544 :         auto mask_wrong = ypred != ytrain;</span></span>
-<span id="L117"><span class="lineNum">     117</span> <span class="tlaGNC">         544 :         auto mask_right = ypred == ytrain;</span></span>
-<span id="L118"><span class="lineNum">     118</span> <span class="tlaGNC">         544 :         auto masked_weights = weights * mask_wrong.to(weights.dtype());</span></span>
-<span id="L119"><span class="lineNum">     119</span> <span class="tlaGNC">         544 :         double epsilon_t = masked_weights.sum().item&lt;double&gt;();</span></span>
-<span id="L120"><span class="lineNum">     120</span> <span class="tlaGNC">         544 :         if (epsilon_t &gt; 0.5) {</span></span>
-<span id="L121"><span class="lineNum">     121</span>              :             // Inverse the weights policy (plot ln(wt))</span>
-<span id="L122"><span class="lineNum">     122</span>              :             // &quot;In each round of AdaBoost, there is a sanity check to ensure that the current base </span>
-<span id="L123"><span class="lineNum">     123</span>              :             // learner is better than random guess&quot; (Zhi-Hua Zhou, 2012)</span>
-<span id="L124"><span class="lineNum">     124</span> <span class="tlaGNC">          16 :             terminate = true;</span></span>
-<span id="L125"><span class="lineNum">     125</span>              :         } else {</span>
-<span id="L126"><span class="lineNum">     126</span> <span class="tlaGNC">         528 :             double wt = (1 - epsilon_t) / epsilon_t;</span></span>
-<span id="L127"><span class="lineNum">     127</span> <span class="tlaGNC">         528 :             alpha_t = epsilon_t == 0 ? 1 : 0.5 * log(wt);</span></span>
-<span id="L128"><span class="lineNum">     128</span>              :             // Step 3.2: Update weights for next classifier</span>
-<span id="L129"><span class="lineNum">     129</span>              :             // Step 3.2.1: Update weights of wrong samples</span>
-<span id="L130"><span class="lineNum">     130</span> <span class="tlaGNC">         528 :             weights += mask_wrong.to(weights.dtype()) * exp(alpha_t) * weights;</span></span>
-<span id="L131"><span class="lineNum">     131</span>              :             // Step 3.2.2: Update weights of right samples</span>
-<span id="L132"><span class="lineNum">     132</span> <span class="tlaGNC">         528 :             weights += mask_right.to(weights.dtype()) * exp(-alpha_t) * weights;</span></span>
-<span id="L133"><span class="lineNum">     133</span>              :             // Step 3.3: Normalise the weights</span>
-<span id="L134"><span class="lineNum">     134</span> <span class="tlaGNC">         528 :             double totalWeights = torch::sum(weights).item&lt;double&gt;();</span></span>
-<span id="L135"><span class="lineNum">     135</span> <span class="tlaGNC">         528 :             weights = weights / totalWeights;</span></span>
-<span id="L136"><span class="lineNum">     136</span>              :         }</span>
-<span id="L137"><span class="lineNum">     137</span> <span class="tlaGNC">        1088 :         return { weights, alpha_t, terminate };</span></span>
-<span id="L138"><span class="lineNum">     138</span> <span class="tlaGNC">         544 :     }</span></span>
-<span id="L139"><span class="lineNum">     139</span> <span class="tlaGNC">          28 :     std::tuple&lt;torch::Tensor&amp;, double, bool&gt; BoostAODE::update_weights_block(int k, torch::Tensor&amp; ytrain, torch::Tensor&amp; weights)</span></span>
-<span id="L140"><span class="lineNum">     140</span>              :     {</span>
-<span id="L141"><span class="lineNum">     141</span>              :         /* Update Block algorithm</span>
-<span id="L142"><span class="lineNum">     142</span>              :             k = # of models in block</span>
-<span id="L143"><span class="lineNum">     143</span>              :             n_models = # of models in ensemble to make predictions</span>
-<span id="L144"><span class="lineNum">     144</span>              :             n_models_bak = # models saved</span>
-<span id="L145"><span class="lineNum">     145</span>              :             models = vector of models to make predictions</span>
-<span id="L146"><span class="lineNum">     146</span>              :             models_bak = models not used to make predictions</span>
-<span id="L147"><span class="lineNum">     147</span>              :             significances_bak = backup of significances vector</span>
-<span id="L148"><span class="lineNum">     148</span>              : </span>
-<span id="L149"><span class="lineNum">     149</span>              :             Case list</span>
-<span id="L150"><span class="lineNum">     150</span>              :             A) k = 1, n_models = 1              =&gt; n = 0 , n_models = n + k</span>
-<span id="L151"><span class="lineNum">     151</span>              :             B) k = 1, n_models = n + 1  =&gt; n_models = n + k</span>
-<span id="L152"><span class="lineNum">     152</span>              :             C) k &gt; 1, n_models = k + 1       =&gt; n= 1, n_models = n + k</span>
-<span id="L153"><span class="lineNum">     153</span>              :             D) k &gt; 1, n_models = k           =&gt; n = 0, n_models = n + k</span>
-<span id="L154"><span class="lineNum">     154</span>              :             E) k &gt; 1, n_models = k + n       =&gt; n_models = n + k</span>
-<span id="L155"><span class="lineNum">     155</span>              : </span>
-<span id="L156"><span class="lineNum">     156</span>              :             A, D) n=0, k &gt; 0, n_models == k</span>
-<span id="L157"><span class="lineNum">     157</span>              :             1. n_models_bak &lt;- n_models</span>
-<span id="L158"><span class="lineNum">     158</span>              :             2. significances_bak &lt;- significances</span>
-<span id="L159"><span class="lineNum">     159</span>              :             3. significances = vector(k, 1)</span>
-<span id="L160"><span class="lineNum">     160</span>              :             4. Don’t move any classifiers out of models</span>
-<span id="L161"><span class="lineNum">     161</span>              :             5. n_models &lt;- k</span>
-<span id="L162"><span class="lineNum">     162</span>              :             6. Make prediction, compute alpha, update weights</span>
-<span id="L163"><span class="lineNum">     163</span>              :             7. Don’t restore any classifiers to models</span>
-<span id="L164"><span class="lineNum">     164</span>              :             8. significances &lt;- significances_bak</span>
-<span id="L165"><span class="lineNum">     165</span>              :             9. Update last k significances</span>
-<span id="L166"><span class="lineNum">     166</span>              :             10. n_models &lt;- n_models_bak</span>
-<span id="L167"><span class="lineNum">     167</span>              : </span>
-<span id="L168"><span class="lineNum">     168</span>              :             B, C, E) n &gt; 0, k &gt; 0, n_models == n + k</span>
-<span id="L169"><span class="lineNum">     169</span>              :             1. n_models_bak &lt;- n_models</span>
-<span id="L170"><span class="lineNum">     170</span>              :             2. significances_bak &lt;- significances</span>
-<span id="L171"><span class="lineNum">     171</span>              :             3. significances = vector(k, 1)</span>
-<span id="L172"><span class="lineNum">     172</span>              :             4. Move first n classifiers to models_bak</span>
-<span id="L173"><span class="lineNum">     173</span>              :             5. n_models &lt;- k</span>
-<span id="L174"><span class="lineNum">     174</span>              :             6. Make prediction, compute alpha, update weights</span>
-<span id="L175"><span class="lineNum">     175</span>              :             7. Insert classifiers in models_bak to be the first n models</span>
-<span id="L176"><span class="lineNum">     176</span>              :             8. significances &lt;- significances_bak</span>
-<span id="L177"><span class="lineNum">     177</span>              :             9. Update last k significances</span>
-<span id="L178"><span class="lineNum">     178</span>              :             10. n_models &lt;- n_models_bak</span>
-<span id="L179"><span class="lineNum">     179</span>              :         */</span>
-<span id="L180"><span class="lineNum">     180</span>              :         //</span>
-<span id="L181"><span class="lineNum">     181</span>              :         // Make predict with only the last k models</span>
-<span id="L182"><span class="lineNum">     182</span>              :         //</span>
-<span id="L183"><span class="lineNum">     183</span> <span class="tlaGNC">          28 :         std::unique_ptr&lt;Classifier&gt; model;</span></span>
-<span id="L184"><span class="lineNum">     184</span> <span class="tlaGNC">          28 :         std::vector&lt;std::unique_ptr&lt;Classifier&gt;&gt; models_bak;</span></span>
-<span id="L185"><span class="lineNum">     185</span>              :         // 1. n_models_bak &lt;- n_models 2. significances_bak &lt;- significances</span>
-<span id="L186"><span class="lineNum">     186</span> <span class="tlaGNC">          28 :         auto significance_bak = significanceModels;</span></span>
-<span id="L187"><span class="lineNum">     187</span> <span class="tlaGNC">          28 :         auto n_models_bak = n_models;</span></span>
-<span id="L188"><span class="lineNum">     188</span>              :         // 3. significances = vector(k, 1)</span>
-<span id="L189"><span class="lineNum">     189</span> <span class="tlaGNC">          28 :         significanceModels = std::vector&lt;double&gt;(k, 1.0);</span></span>
-<span id="L190"><span class="lineNum">     190</span>              :         // 4. Move first n classifiers to models_bak</span>
-<span id="L191"><span class="lineNum">     191</span>              :         // backup the first n_models - k models (if n_models == k, don't backup any)</span>
-<span id="L192"><span class="lineNum">     192</span> <span class="tlaGNC">         148 :         for (int i = 0; i &lt; n_models - k; ++i) {</span></span>
-<span id="L193"><span class="lineNum">     193</span> <span class="tlaGNC">         120 :             model = std::move(models[0]);</span></span>
-<span id="L194"><span class="lineNum">     194</span> <span class="tlaGNC">         120 :             models.erase(models.begin());</span></span>
-<span id="L195"><span class="lineNum">     195</span> <span class="tlaGNC">         120 :             models_bak.push_back(std::move(model));</span></span>
-<span id="L196"><span class="lineNum">     196</span>              :         }</span>
-<span id="L197"><span class="lineNum">     197</span> <span class="tlaGNC">          28 :         assert(models.size() == k);</span></span>
-<span id="L198"><span class="lineNum">     198</span>              :         // 5. n_models &lt;- k</span>
-<span id="L199"><span class="lineNum">     199</span> <span class="tlaGNC">          28 :         n_models = k;</span></span>
-<span id="L200"><span class="lineNum">     200</span>              :         // 6. Make prediction, compute alpha, update weights</span>
-<span id="L201"><span class="lineNum">     201</span> <span class="tlaGNC">          28 :         auto ypred = predict(X_train);</span></span>
-<span id="L202"><span class="lineNum">     202</span>              :         //</span>
-<span id="L203"><span class="lineNum">     203</span>              :         // Update weights</span>
-<span id="L204"><span class="lineNum">     204</span>              :         //</span>
-<span id="L205"><span class="lineNum">     205</span>              :         double alpha_t;</span>
-<span id="L206"><span class="lineNum">     206</span>              :         bool terminate;</span>
-<span id="L207"><span class="lineNum">     207</span> <span class="tlaGNC">          28 :         std::tie(weights, alpha_t, terminate) = update_weights(y_train, ypred, weights);</span></span>
-<span id="L208"><span class="lineNum">     208</span>              :         //</span>
-<span id="L209"><span class="lineNum">     209</span>              :         // Restore the models if needed</span>
-<span id="L210"><span class="lineNum">     210</span>              :         //</span>
-<span id="L211"><span class="lineNum">     211</span>              :         // 7. Insert classifiers in models_bak to be the first n models</span>
-<span id="L212"><span class="lineNum">     212</span>              :         // if n_models_bak == k, don't restore any, because none of them were moved</span>
-<span id="L213"><span class="lineNum">     213</span> <span class="tlaGNC">          28 :         if (k != n_models_bak) {</span></span>
-<span id="L214"><span class="lineNum">     214</span>              :             // Insert in the same order as they were extracted</span>
-<span id="L215"><span class="lineNum">     215</span> <span class="tlaGNC">          24 :             int bak_size = models_bak.size();</span></span>
-<span id="L216"><span class="lineNum">     216</span> <span class="tlaGNC">         144 :             for (int i = 0; i &lt; bak_size; ++i) {</span></span>
-<span id="L217"><span class="lineNum">     217</span> <span class="tlaGNC">         120 :                 model = std::move(models_bak[bak_size - 1 - i]);</span></span>
-<span id="L218"><span class="lineNum">     218</span> <span class="tlaGNC">         120 :                 models_bak.erase(models_bak.end() - 1);</span></span>
-<span id="L219"><span class="lineNum">     219</span> <span class="tlaGNC">         120 :                 models.insert(models.begin(), std::move(model));</span></span>
-<span id="L220"><span class="lineNum">     220</span>              :             }</span>
-<span id="L221"><span class="lineNum">     221</span>              :         }</span>
-<span id="L222"><span class="lineNum">     222</span>              :         // 8. significances &lt;- significances_bak</span>
-<span id="L223"><span class="lineNum">     223</span> <span class="tlaGNC">          28 :         significanceModels = significance_bak;</span></span>
-<span id="L224"><span class="lineNum">     224</span>              :         //</span>
-<span id="L225"><span class="lineNum">     225</span>              :         // Update the significance of the last k models</span>
-<span id="L226"><span class="lineNum">     226</span>              :         //</span>
-<span id="L227"><span class="lineNum">     227</span>              :         // 9. Update last k significances</span>
-<span id="L228"><span class="lineNum">     228</span> <span class="tlaGNC">         104 :         for (int i = 0; i &lt; k; ++i) {</span></span>
-<span id="L229"><span class="lineNum">     229</span> <span class="tlaGNC">          76 :             significanceModels[n_models_bak - k + i] = alpha_t;</span></span>
-<span id="L230"><span class="lineNum">     230</span>              :         }</span>
-<span id="L231"><span class="lineNum">     231</span>              :         // 10. n_models &lt;- n_models_bak</span>
-<span id="L232"><span class="lineNum">     232</span> <span class="tlaGNC">          28 :         n_models = n_models_bak;</span></span>
-<span id="L233"><span class="lineNum">     233</span> <span class="tlaGNC">          56 :         return { weights, alpha_t, terminate };</span></span>
-<span id="L234"><span class="lineNum">     234</span> <span class="tlaGNC">          28 :     }</span></span>
-<span id="L235"><span class="lineNum">     235</span> <span class="tlaGNC">          32 :     std::vector&lt;int&gt; BoostAODE::initializeModels()</span></span>
-<span id="L236"><span class="lineNum">     236</span>              :     {</span>
-<span id="L237"><span class="lineNum">     237</span> <span class="tlaGNC">          32 :         std::vector&lt;int&gt; featuresUsed;</span></span>
-<span id="L238"><span class="lineNum">     238</span> <span class="tlaGNC">          32 :         torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</span></span>
-<span id="L239"><span class="lineNum">     239</span> <span class="tlaGNC">          32 :         int maxFeatures = 0;</span></span>
-<span id="L240"><span class="lineNum">     240</span> <span class="tlaGNC">          32 :         if (select_features_algorithm == SelectFeatures.CFS) {</span></span>
-<span id="L241"><span class="lineNum">     241</span> <span class="tlaGNC">           8 :             featureSelector = new CFS(dataset, features, className, maxFeatures, states.at(className).size(), weights_);</span></span>
-<span id="L242"><span class="lineNum">     242</span> <span class="tlaGNC">          24 :         } else if (select_features_algorithm == SelectFeatures.IWSS) {</span></span>
-<span id="L243"><span class="lineNum">     243</span> <span class="tlaGNC">          12 :             if (threshold &lt; 0 || threshold &gt;0.5) {</span></span>
-<span id="L244"><span class="lineNum">     244</span> <span class="tlaGNC">           8 :                 throw std::invalid_argument(&quot;Invalid threshold value for &quot; + SelectFeatures.IWSS + &quot; [0, 0.5]&quot;);</span></span>
-<span id="L245"><span class="lineNum">     245</span>              :             }</span>
-<span id="L246"><span class="lineNum">     246</span> <span class="tlaGNC">           4 :             featureSelector = new IWSS(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);</span></span>
-<span id="L247"><span class="lineNum">     247</span> <span class="tlaGNC">          12 :         } else if (select_features_algorithm == SelectFeatures.FCBF) {</span></span>
-<span id="L248"><span class="lineNum">     248</span> <span class="tlaGNC">          12 :             if (threshold &lt; 1e-7 || threshold &gt; 1) {</span></span>
-<span id="L249"><span class="lineNum">     249</span> <span class="tlaGNC">           8 :                 throw std::invalid_argument(&quot;Invalid threshold value for &quot; + SelectFeatures.FCBF + &quot; [1e-7, 1]&quot;);</span></span>
-<span id="L250"><span class="lineNum">     250</span>              :             }</span>
-<span id="L251"><span class="lineNum">     251</span> <span class="tlaGNC">           4 :             featureSelector = new FCBF(dataset, features, className, maxFeatures, states.at(className).size(), weights_, threshold);</span></span>
-<span id="L252"><span class="lineNum">     252</span>              :         }</span>
-<span id="L253"><span class="lineNum">     253</span> <span class="tlaGNC">          16 :         featureSelector-&gt;fit();</span></span>
-<span id="L254"><span class="lineNum">     254</span> <span class="tlaGNC">          16 :         auto cfsFeatures = featureSelector-&gt;getFeatures();</span></span>
-<span id="L255"><span class="lineNum">     255</span> <span class="tlaGNC">          16 :         auto scores = featureSelector-&gt;getScores();</span></span>
-<span id="L256"><span class="lineNum">     256</span> <span class="tlaGNC">         100 :         for (const int&amp; feature : cfsFeatures) {</span></span>
-<span id="L257"><span class="lineNum">     257</span> <span class="tlaGNC">          84 :             featuresUsed.push_back(feature);</span></span>
-<span id="L258"><span class="lineNum">     258</span> <span class="tlaGNC">          84 :             std::unique_ptr&lt;Classifier&gt; model = std::make_unique&lt;SPODE&gt;(feature);</span></span>
-<span id="L259"><span class="lineNum">     259</span> <span class="tlaGNC">          84 :             model-&gt;fit(dataset, features, className, states, weights_);</span></span>
-<span id="L260"><span class="lineNum">     260</span> <span class="tlaGNC">          84 :             models.push_back(std::move(model));</span></span>
-<span id="L261"><span class="lineNum">     261</span> <span class="tlaGNC">          84 :             significanceModels.push_back(1.0); // They will be updated later in trainModel</span></span>
-<span id="L262"><span class="lineNum">     262</span> <span class="tlaGNC">          84 :             n_models++;</span></span>
-<span id="L263"><span class="lineNum">     263</span> <span class="tlaGNC">          84 :         }</span></span>
-<span id="L264"><span class="lineNum">     264</span> <span class="tlaGNC">          16 :         notes.push_back(&quot;Used features in initialization: &quot; + std::to_string(featuresUsed.size()) + &quot; of &quot; + std::to_string(features.size()) + &quot; with &quot; + select_features_algorithm);</span></span>
-<span id="L265"><span class="lineNum">     265</span> <span class="tlaGNC">          16 :         delete featureSelector;</span></span>
-<span id="L266"><span class="lineNum">     266</span> <span class="tlaGNC">          32 :         return featuresUsed;</span></span>
-<span id="L267"><span class="lineNum">     267</span> <span class="tlaGNC">          48 :     }</span></span>
-<span id="L268"><span class="lineNum">     268</span> <span class="tlaGNC">          92 :     void BoostAODE::trainModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L269"><span class="lineNum">     269</span>              :     {</span>
-<span id="L270"><span class="lineNum">     270</span>              :         //</span>
-<span id="L271"><span class="lineNum">     271</span>              :         // Logging setup</span>
-<span id="L272"><span class="lineNum">     272</span>              :         //</span>
-<span id="L273"><span class="lineNum">     273</span> <span class="tlaGNC">          92 :         loguru::set_thread_name(&quot;BoostAODE&quot;);</span></span>
-<span id="L274"><span class="lineNum">     274</span> <span class="tlaGNC">          92 :         loguru::g_stderr_verbosity = loguru::Verbosity_OFF;</span></span>
-<span id="L275"><span class="lineNum">     275</span> <span class="tlaGNC">          92 :         loguru::add_file(&quot;boostAODE.log&quot;, loguru::Truncate, loguru::Verbosity_MAX);</span></span>
-<span id="L276"><span class="lineNum">     276</span>              : </span>
-<span id="L277"><span class="lineNum">     277</span>              :         // Algorithm based on the adaboost algorithm for classification</span>
-<span id="L278"><span class="lineNum">     278</span>              :         // as explained in Ensemble methods (Zhi-Hua Zhou, 2012)</span>
-<span id="L279"><span class="lineNum">     279</span> <span class="tlaGNC">          92 :         fitted = true;</span></span>
-<span id="L280"><span class="lineNum">     280</span> <span class="tlaGNC">          92 :         double alpha_t = 0;</span></span>
-<span id="L281"><span class="lineNum">     281</span> <span class="tlaGNC">          92 :         torch::Tensor weights_ = torch::full({ m }, 1.0 / m, torch::kFloat64);</span></span>
-<span id="L282"><span class="lineNum">     282</span> <span class="tlaGNC">          92 :         bool finished = false;</span></span>
-<span id="L283"><span class="lineNum">     283</span> <span class="tlaGNC">          92 :         std::vector&lt;int&gt; featuresUsed;</span></span>
-<span id="L284"><span class="lineNum">     284</span> <span class="tlaGNC">          92 :         if (selectFeatures) {</span></span>
-<span id="L285"><span class="lineNum">     285</span> <span class="tlaGNC">          32 :             featuresUsed = initializeModels();</span></span>
-<span id="L286"><span class="lineNum">     286</span> <span class="tlaGNC">          16 :             auto ypred = predict(X_train);</span></span>
-<span id="L287"><span class="lineNum">     287</span> <span class="tlaGNC">          16 :             std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</span></span>
-<span id="L288"><span class="lineNum">     288</span>              :             // Update significance of the models</span>
-<span id="L289"><span class="lineNum">     289</span> <span class="tlaGNC">         100 :             for (int i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L290"><span class="lineNum">     290</span> <span class="tlaGNC">          84 :                 significanceModels[i] = alpha_t;</span></span>
-<span id="L291"><span class="lineNum">     291</span>              :             }</span>
-<span id="L292"><span class="lineNum">     292</span> <span class="tlaGNC">          16 :             if (finished) {</span></span>
-<span id="L293"><span class="lineNum">     293</span> <span class="tlaUNC tlaBgUNC">           0 :                 return;</span></span>
-<span id="L294"><span class="lineNum">     294</span>              :             }</span>
-<span id="L295"><span class="lineNum">     295</span> <span class="tlaGNC tlaBgGNC">          16 :         }</span></span>
-<span id="L296"><span class="lineNum">     296</span> <span class="tlaGNC">          76 :         int numItemsPack = 0; // The counter of the models inserted in the current pack</span></span>
-<span id="L297"><span class="lineNum">     297</span>              :         // Variables to control the accuracy finish condition</span>
-<span id="L298"><span class="lineNum">     298</span> <span class="tlaGNC">          76 :         double priorAccuracy = 0.0;</span></span>
-<span id="L299"><span class="lineNum">     299</span> <span class="tlaGNC">          76 :         double improvement = 1.0;</span></span>
-<span id="L300"><span class="lineNum">     300</span> <span class="tlaGNC">          76 :         double convergence_threshold = 1e-4;</span></span>
-<span id="L301"><span class="lineNum">     301</span> <span class="tlaGNC">          76 :         int tolerance = 0; // number of times the accuracy is lower than the convergence_threshold</span></span>
-<span id="L302"><span class="lineNum">     302</span>              :         // Step 0: Set the finish condition</span>
-<span id="L303"><span class="lineNum">     303</span>              :         // epsilon sub t &gt; 0.5 =&gt; inverse the weights policy</span>
-<span id="L304"><span class="lineNum">     304</span>              :         // validation error is not decreasing</span>
-<span id="L305"><span class="lineNum">     305</span>              :         // run out of features</span>
-<span id="L306"><span class="lineNum">     306</span> <span class="tlaGNC">          76 :         bool ascending = order_algorithm == Orders.ASC;</span></span>
-<span id="L307"><span class="lineNum">     307</span> <span class="tlaGNC">          76 :         std::mt19937 g{ 173 };</span></span>
-<span id="L308"><span class="lineNum">     308</span> <span class="tlaGNC">         504 :         while (!finished) {</span></span>
-<span id="L309"><span class="lineNum">     309</span>              :             // Step 1: Build ranking with mutual information</span>
-<span id="L310"><span class="lineNum">     310</span> <span class="tlaGNC">         428 :             auto featureSelection = metrics.SelectKBestWeighted(weights_, ascending, n); // Get all the features sorted</span></span>
-<span id="L311"><span class="lineNum">     311</span> <span class="tlaGNC">         428 :             if (order_algorithm == Orders.RAND) {</span></span>
-<span id="L312"><span class="lineNum">     312</span> <span class="tlaGNC">          36 :                 std::shuffle(featureSelection.begin(), featureSelection.end(), g);</span></span>
-<span id="L313"><span class="lineNum">     313</span>              :             }</span>
-<span id="L314"><span class="lineNum">     314</span>              :             // Remove used features</span>
-<span id="L315"><span class="lineNum">     315</span> <span class="tlaGNC">         856 :             featureSelection.erase(remove_if(begin(featureSelection), end(featureSelection), [&amp;](auto x)</span></span>
-<span id="L316"><span class="lineNum">     316</span> <span class="tlaGNC">       38800 :                 { return std::find(begin(featuresUsed), end(featuresUsed), x) != end(featuresUsed);}),</span></span>
-<span id="L317"><span class="lineNum">     317</span> <span class="tlaGNC">         428 :                 end(featureSelection)</span></span>
-<span id="L318"><span class="lineNum">     318</span>              :             );</span>
-<span id="L319"><span class="lineNum">     319</span> <span class="tlaGNC">         428 :             int k = bisection ? pow(2, tolerance) : 1;</span></span>
-<span id="L320"><span class="lineNum">     320</span> <span class="tlaGNC">         428 :             int counter = 0; // The model counter of the current pack</span></span>
-<span id="L321"><span class="lineNum">     321</span> <span class="tlaGNC">         428 :             VLOG_SCOPE_F(1, &quot;counter=%d k=%d featureSelection.size: %zu&quot;, counter, k, featureSelection.size());</span></span>
-<span id="L322"><span class="lineNum">     322</span> <span class="tlaGNC">        1004 :             while (counter++ &lt; k &amp;&amp; featureSelection.size() &gt; 0) {</span></span>
-<span id="L323"><span class="lineNum">     323</span> <span class="tlaGNC">         576 :                 auto feature = featureSelection[0];</span></span>
-<span id="L324"><span class="lineNum">     324</span> <span class="tlaGNC">         576 :                 featureSelection.erase(featureSelection.begin());</span></span>
-<span id="L325"><span class="lineNum">     325</span> <span class="tlaGNC">         576 :                 std::unique_ptr&lt;Classifier&gt; model;</span></span>
-<span id="L326"><span class="lineNum">     326</span> <span class="tlaGNC">         576 :                 model = std::make_unique&lt;SPODE&gt;(feature);</span></span>
-<span id="L327"><span class="lineNum">     327</span> <span class="tlaGNC">         576 :                 model-&gt;fit(dataset, features, className, states, weights_);</span></span>
-<span id="L328"><span class="lineNum">     328</span> <span class="tlaGNC">         576 :                 alpha_t = 0.0;</span></span>
-<span id="L329"><span class="lineNum">     329</span> <span class="tlaGNC">         576 :                 if (!block_update) {</span></span>
-<span id="L330"><span class="lineNum">     330</span> <span class="tlaGNC">         500 :                     auto ypred = model-&gt;predict(X_train);</span></span>
-<span id="L331"><span class="lineNum">     331</span>              :                     // Step 3.1: Compute the classifier amout of say</span>
-<span id="L332"><span class="lineNum">     332</span> <span class="tlaGNC">         500 :                     std::tie(weights_, alpha_t, finished) = update_weights(y_train, ypred, weights_);</span></span>
-<span id="L333"><span class="lineNum">     333</span> <span class="tlaGNC">         500 :                 }</span></span>
-<span id="L334"><span class="lineNum">     334</span>              :                 // Step 3.4: Store classifier and its accuracy to weigh its future vote</span>
-<span id="L335"><span class="lineNum">     335</span> <span class="tlaGNC">         576 :                 numItemsPack++;</span></span>
-<span id="L336"><span class="lineNum">     336</span> <span class="tlaGNC">         576 :                 featuresUsed.push_back(feature);</span></span>
-<span id="L337"><span class="lineNum">     337</span> <span class="tlaGNC">         576 :                 models.push_back(std::move(model));</span></span>
-<span id="L338"><span class="lineNum">     338</span> <span class="tlaGNC">         576 :                 significanceModels.push_back(alpha_t);</span></span>
-<span id="L339"><span class="lineNum">     339</span> <span class="tlaGNC">         576 :                 n_models++;</span></span>
-<span id="L340"><span class="lineNum">     340</span> <span class="tlaGNC">         576 :                 VLOG_SCOPE_F(2, &quot;numItemsPack: %d n_models: %d featuresUsed: %zu&quot;, numItemsPack, n_models, featuresUsed.size());</span></span>
-<span id="L341"><span class="lineNum">     341</span> <span class="tlaGNC">         576 :             }</span></span>
-<span id="L342"><span class="lineNum">     342</span> <span class="tlaGNC">         428 :             if (block_update) {</span></span>
-<span id="L343"><span class="lineNum">     343</span> <span class="tlaGNC">          28 :                 std::tie(weights_, alpha_t, finished) = update_weights_block(k, y_train, weights_);</span></span>
-<span id="L344"><span class="lineNum">     344</span>              :             }</span>
-<span id="L345"><span class="lineNum">     345</span> <span class="tlaGNC">         428 :             if (convergence &amp;&amp; !finished) {</span></span>
-<span id="L346"><span class="lineNum">     346</span> <span class="tlaGNC">         296 :                 auto y_val_predict = predict(X_test);</span></span>
-<span id="L347"><span class="lineNum">     347</span> <span class="tlaGNC">         296 :                 double accuracy = (y_val_predict == y_test).sum().item&lt;double&gt;() / (double)y_test.size(0);</span></span>
-<span id="L348"><span class="lineNum">     348</span> <span class="tlaGNC">         296 :                 if (priorAccuracy == 0) {</span></span>
-<span id="L349"><span class="lineNum">     349</span> <span class="tlaGNC">          60 :                     priorAccuracy = accuracy;</span></span>
-<span id="L350"><span class="lineNum">     350</span>              :                 } else {</span>
-<span id="L351"><span class="lineNum">     351</span> <span class="tlaGNC">         236 :                     improvement = accuracy - priorAccuracy;</span></span>
-<span id="L352"><span class="lineNum">     352</span>              :                 }</span>
-<span id="L353"><span class="lineNum">     353</span> <span class="tlaGNC">         296 :                 if (improvement &lt; convergence_threshold) {</span></span>
-<span id="L354"><span class="lineNum">     354</span> <span class="tlaGNC">         176 :                     VLOG_SCOPE_F(3, &quot;  (improvement&lt;threshold) tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></span>
-<span id="L355"><span class="lineNum">     355</span> <span class="tlaGNC">         176 :                     tolerance++;</span></span>
-<span id="L356"><span class="lineNum">     356</span> <span class="tlaGNC">         176 :                 } else {</span></span>
-<span id="L357"><span class="lineNum">     357</span> <span class="tlaGNC">         120 :                     VLOG_SCOPE_F(3, &quot;* (improvement&gt;=threshold) Reset. tolerance: %d numItemsPack: %d improvement: %f prior: %f current: %f&quot;, tolerance, numItemsPack, improvement, priorAccuracy, accuracy);</span></span>
-<span id="L358"><span class="lineNum">     358</span> <span class="tlaGNC">         120 :                     tolerance = 0; // Reset the counter if the model performs better</span></span>
-<span id="L359"><span class="lineNum">     359</span> <span class="tlaGNC">         120 :                     numItemsPack = 0;</span></span>
-<span id="L360"><span class="lineNum">     360</span> <span class="tlaGNC">         120 :                 }</span></span>
-<span id="L361"><span class="lineNum">     361</span> <span class="tlaGNC">         296 :                 if (convergence_best) {</span></span>
-<span id="L362"><span class="lineNum">     362</span>              :                     // Keep the best accuracy until now as the prior accuracy</span>
-<span id="L363"><span class="lineNum">     363</span> <span class="tlaGNC">          32 :                     priorAccuracy = std::max(accuracy, priorAccuracy);</span></span>
-<span id="L364"><span class="lineNum">     364</span>              :                 } else {</span>
-<span id="L365"><span class="lineNum">     365</span>              :                     // Keep the last accuray obtained as the prior accuracy</span>
-<span id="L366"><span class="lineNum">     366</span> <span class="tlaGNC">         264 :                     priorAccuracy = accuracy;</span></span>
-<span id="L367"><span class="lineNum">     367</span>              :                 }</span>
-<span id="L368"><span class="lineNum">     368</span> <span class="tlaGNC">         296 :             }</span></span>
-<span id="L369"><span class="lineNum">     369</span> <span class="tlaGNC">         428 :             VLOG_SCOPE_F(1, &quot;tolerance: %d featuresUsed.size: %zu features.size: %zu&quot;, tolerance, featuresUsed.size(), features.size());</span></span>
-<span id="L370"><span class="lineNum">     370</span> <span class="tlaGNC">         428 :             finished = finished || tolerance &gt; maxTolerance || featuresUsed.size() == features.size();</span></span>
-<span id="L371"><span class="lineNum">     371</span> <span class="tlaGNC">         428 :         }</span></span>
-<span id="L372"><span class="lineNum">     372</span> <span class="tlaGNC">          76 :         if (tolerance &gt; maxTolerance) {</span></span>
-<span id="L373"><span class="lineNum">     373</span> <span class="tlaGNC">           8 :             if (numItemsPack &lt; n_models) {</span></span>
-<span id="L374"><span class="lineNum">     374</span> <span class="tlaGNC">           8 :                 notes.push_back(&quot;Convergence threshold reached &amp; &quot; + std::to_string(numItemsPack) + &quot; models eliminated&quot;);</span></span>
-<span id="L375"><span class="lineNum">     375</span> <span class="tlaGNC">           8 :                 VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; %d models eliminated of %d&quot;, numItemsPack, n_models);</span></span>
-<span id="L376"><span class="lineNum">     376</span> <span class="tlaGNC">         104 :                 for (int i = 0; i &lt; numItemsPack; ++i) {</span></span>
-<span id="L377"><span class="lineNum">     377</span> <span class="tlaGNC">          96 :                     significanceModels.pop_back();</span></span>
-<span id="L378"><span class="lineNum">     378</span> <span class="tlaGNC">          96 :                     models.pop_back();</span></span>
-<span id="L379"><span class="lineNum">     379</span> <span class="tlaGNC">          96 :                     n_models--;</span></span>
-<span id="L380"><span class="lineNum">     380</span>              :                 }</span>
-<span id="L381"><span class="lineNum">     381</span> <span class="tlaGNC">           8 :             } else {</span></span>
-<span id="L382"><span class="lineNum">     382</span> <span class="tlaUNC tlaBgUNC">           0 :                 notes.push_back(&quot;Convergence threshold reached &amp; 0 models eliminated&quot;);</span></span>
-<span id="L383"><span class="lineNum">     383</span> <span class="tlaUNC">           0 :                 VLOG_SCOPE_F(4, &quot;Convergence threshold reached &amp; 0 models eliminated n_models=%d numItemsPack=%d&quot;, n_models, numItemsPack);</span></span>
-<span id="L384"><span class="lineNum">     384</span> <span class="tlaUNC">           0 :             }</span></span>
-<span id="L385"><span class="lineNum">     385</span>              :         }</span>
-<span id="L386"><span class="lineNum">     386</span> <span class="tlaGNC tlaBgGNC">          76 :         if (featuresUsed.size() != features.size()) {</span></span>
-<span id="L387"><span class="lineNum">     387</span> <span class="tlaGNC">           4 :             notes.push_back(&quot;Used features in train: &quot; + std::to_string(featuresUsed.size()) + &quot; of &quot; + std::to_string(features.size()));</span></span>
-<span id="L388"><span class="lineNum">     388</span> <span class="tlaGNC">           4 :             status = WARNING;</span></span>
-<span id="L389"><span class="lineNum">     389</span>              :         }</span>
-<span id="L390"><span class="lineNum">     390</span> <span class="tlaGNC">          76 :         notes.push_back(&quot;Number of models: &quot; + std::to_string(n_models));</span></span>
-<span id="L391"><span class="lineNum">     391</span> <span class="tlaGNC">         108 :     }</span></span>
-<span id="L392"><span class="lineNum">     392</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; BoostAODE::graph(const std::string&amp; title) const</span></span>
-<span id="L393"><span class="lineNum">     393</span>              :     {</span>
-<span id="L394"><span class="lineNum">     394</span> <span class="tlaGNC">           4 :         return Ensemble::graph(title);</span></span>
-<span id="L395"><span class="lineNum">     395</span>              :     }</span>
-<span id="L396"><span class="lineNum">     396</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/BoostAODE.cc.gcov.overview.html b/html/bayesnet/ensembles/BoostAODE.cc.gcov.overview.html
deleted file mode 100644
index 41fb2fd..0000000
--- a/html/bayesnet/ensembles/BoostAODE.cc.gcov.overview.html
+++ /dev/null
@@ -1,119 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="BoostAODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="BoostAODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="BoostAODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="BoostAODE.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="BoostAODE.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="BoostAODE.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="BoostAODE.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="BoostAODE.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="BoostAODE.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="BoostAODE.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="BoostAODE.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="BoostAODE.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="BoostAODE.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="BoostAODE.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="BoostAODE.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="BoostAODE.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="BoostAODE.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="BoostAODE.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="BoostAODE.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="BoostAODE.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="BoostAODE.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="BoostAODE.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="BoostAODE.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="BoostAODE.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="BoostAODE.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="BoostAODE.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="BoostAODE.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="BoostAODE.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="BoostAODE.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="BoostAODE.cc.gcov.html#L105" target="source" alt="overview">
-            <area shape="rect" coords="0,120,79,123" href="BoostAODE.cc.gcov.html#L109" target="source" alt="overview">
-            <area shape="rect" coords="0,124,79,127" href="BoostAODE.cc.gcov.html#L113" target="source" alt="overview">
-            <area shape="rect" coords="0,128,79,131" href="BoostAODE.cc.gcov.html#L117" target="source" alt="overview">
-            <area shape="rect" coords="0,132,79,135" href="BoostAODE.cc.gcov.html#L121" target="source" alt="overview">
-            <area shape="rect" coords="0,136,79,139" href="BoostAODE.cc.gcov.html#L125" target="source" alt="overview">
-            <area shape="rect" coords="0,140,79,143" href="BoostAODE.cc.gcov.html#L129" target="source" alt="overview">
-            <area shape="rect" coords="0,144,79,147" href="BoostAODE.cc.gcov.html#L133" target="source" alt="overview">
-            <area shape="rect" coords="0,148,79,151" href="BoostAODE.cc.gcov.html#L137" target="source" alt="overview">
-            <area shape="rect" coords="0,152,79,155" href="BoostAODE.cc.gcov.html#L141" target="source" alt="overview">
-            <area shape="rect" coords="0,156,79,159" href="BoostAODE.cc.gcov.html#L145" target="source" alt="overview">
-            <area shape="rect" coords="0,160,79,163" href="BoostAODE.cc.gcov.html#L149" target="source" alt="overview">
-            <area shape="rect" coords="0,164,79,167" href="BoostAODE.cc.gcov.html#L153" target="source" alt="overview">
-            <area shape="rect" coords="0,168,79,171" href="BoostAODE.cc.gcov.html#L157" target="source" alt="overview">
-            <area shape="rect" coords="0,172,79,175" href="BoostAODE.cc.gcov.html#L161" target="source" alt="overview">
-            <area shape="rect" coords="0,176,79,179" href="BoostAODE.cc.gcov.html#L165" target="source" alt="overview">
-            <area shape="rect" coords="0,180,79,183" href="BoostAODE.cc.gcov.html#L169" target="source" alt="overview">
-            <area shape="rect" coords="0,184,79,187" href="BoostAODE.cc.gcov.html#L173" target="source" alt="overview">
-            <area shape="rect" coords="0,188,79,191" href="BoostAODE.cc.gcov.html#L177" target="source" alt="overview">
-            <area shape="rect" coords="0,192,79,195" href="BoostAODE.cc.gcov.html#L181" target="source" alt="overview">
-            <area shape="rect" coords="0,196,79,199" href="BoostAODE.cc.gcov.html#L185" target="source" alt="overview">
-            <area shape="rect" coords="0,200,79,203" href="BoostAODE.cc.gcov.html#L189" target="source" alt="overview">
-            <area shape="rect" coords="0,204,79,207" href="BoostAODE.cc.gcov.html#L193" target="source" alt="overview">
-            <area shape="rect" coords="0,208,79,211" href="BoostAODE.cc.gcov.html#L197" target="source" alt="overview">
-            <area shape="rect" coords="0,212,79,215" href="BoostAODE.cc.gcov.html#L201" target="source" alt="overview">
-            <area shape="rect" coords="0,216,79,219" href="BoostAODE.cc.gcov.html#L205" target="source" alt="overview">
-            <area shape="rect" coords="0,220,79,223" href="BoostAODE.cc.gcov.html#L209" target="source" alt="overview">
-            <area shape="rect" coords="0,224,79,227" href="BoostAODE.cc.gcov.html#L213" target="source" alt="overview">
-            <area shape="rect" coords="0,228,79,231" href="BoostAODE.cc.gcov.html#L217" target="source" alt="overview">
-            <area shape="rect" coords="0,232,79,235" href="BoostAODE.cc.gcov.html#L221" target="source" alt="overview">
-            <area shape="rect" coords="0,236,79,239" href="BoostAODE.cc.gcov.html#L225" target="source" alt="overview">
-            <area shape="rect" coords="0,240,79,243" href="BoostAODE.cc.gcov.html#L229" target="source" alt="overview">
-            <area shape="rect" coords="0,244,79,247" href="BoostAODE.cc.gcov.html#L233" target="source" alt="overview">
-            <area shape="rect" coords="0,248,79,251" href="BoostAODE.cc.gcov.html#L237" target="source" alt="overview">
-            <area shape="rect" coords="0,252,79,255" href="BoostAODE.cc.gcov.html#L241" target="source" alt="overview">
-            <area shape="rect" coords="0,256,79,259" href="BoostAODE.cc.gcov.html#L245" target="source" alt="overview">
-            <area shape="rect" coords="0,260,79,263" href="BoostAODE.cc.gcov.html#L249" target="source" alt="overview">
-            <area shape="rect" coords="0,264,79,267" href="BoostAODE.cc.gcov.html#L253" target="source" alt="overview">
-            <area shape="rect" coords="0,268,79,271" href="BoostAODE.cc.gcov.html#L257" target="source" alt="overview">
-            <area shape="rect" coords="0,272,79,275" href="BoostAODE.cc.gcov.html#L261" target="source" alt="overview">
-            <area shape="rect" coords="0,276,79,279" href="BoostAODE.cc.gcov.html#L265" target="source" alt="overview">
-            <area shape="rect" coords="0,280,79,283" href="BoostAODE.cc.gcov.html#L269" target="source" alt="overview">
-            <area shape="rect" coords="0,284,79,287" href="BoostAODE.cc.gcov.html#L273" target="source" alt="overview">
-            <area shape="rect" coords="0,288,79,291" href="BoostAODE.cc.gcov.html#L277" target="source" alt="overview">
-            <area shape="rect" coords="0,292,79,295" href="BoostAODE.cc.gcov.html#L281" target="source" alt="overview">
-            <area shape="rect" coords="0,296,79,299" href="BoostAODE.cc.gcov.html#L285" target="source" alt="overview">
-            <area shape="rect" coords="0,300,79,303" href="BoostAODE.cc.gcov.html#L289" target="source" alt="overview">
-            <area shape="rect" coords="0,304,79,307" href="BoostAODE.cc.gcov.html#L293" target="source" alt="overview">
-            <area shape="rect" coords="0,308,79,311" href="BoostAODE.cc.gcov.html#L297" target="source" alt="overview">
-            <area shape="rect" coords="0,312,79,315" href="BoostAODE.cc.gcov.html#L301" target="source" alt="overview">
-            <area shape="rect" coords="0,316,79,319" href="BoostAODE.cc.gcov.html#L305" target="source" alt="overview">
-            <area shape="rect" coords="0,320,79,323" href="BoostAODE.cc.gcov.html#L309" target="source" alt="overview">
-            <area shape="rect" coords="0,324,79,327" href="BoostAODE.cc.gcov.html#L313" target="source" alt="overview">
-            <area shape="rect" coords="0,328,79,331" href="BoostAODE.cc.gcov.html#L317" target="source" alt="overview">
-            <area shape="rect" coords="0,332,79,335" href="BoostAODE.cc.gcov.html#L321" target="source" alt="overview">
-            <area shape="rect" coords="0,336,79,339" href="BoostAODE.cc.gcov.html#L325" target="source" alt="overview">
-            <area shape="rect" coords="0,340,79,343" href="BoostAODE.cc.gcov.html#L329" target="source" alt="overview">
-            <area shape="rect" coords="0,344,79,347" href="BoostAODE.cc.gcov.html#L333" target="source" alt="overview">
-            <area shape="rect" coords="0,348,79,351" href="BoostAODE.cc.gcov.html#L337" target="source" alt="overview">
-            <area shape="rect" coords="0,352,79,355" href="BoostAODE.cc.gcov.html#L341" target="source" alt="overview">
-            <area shape="rect" coords="0,356,79,359" href="BoostAODE.cc.gcov.html#L345" target="source" alt="overview">
-            <area shape="rect" coords="0,360,79,363" href="BoostAODE.cc.gcov.html#L349" target="source" alt="overview">
-            <area shape="rect" coords="0,364,79,367" href="BoostAODE.cc.gcov.html#L353" target="source" alt="overview">
-            <area shape="rect" coords="0,368,79,371" href="BoostAODE.cc.gcov.html#L357" target="source" alt="overview">
-            <area shape="rect" coords="0,372,79,375" href="BoostAODE.cc.gcov.html#L361" target="source" alt="overview">
-            <area shape="rect" coords="0,376,79,379" href="BoostAODE.cc.gcov.html#L365" target="source" alt="overview">
-            <area shape="rect" coords="0,380,79,383" href="BoostAODE.cc.gcov.html#L369" target="source" alt="overview">
-            <area shape="rect" coords="0,384,79,387" href="BoostAODE.cc.gcov.html#L373" target="source" alt="overview">
-            <area shape="rect" coords="0,388,79,391" href="BoostAODE.cc.gcov.html#L377" target="source" alt="overview">
-            <area shape="rect" coords="0,392,79,395" href="BoostAODE.cc.gcov.html#L381" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="BoostAODE.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="BoostAODE.cc.gcov.png" width=80 height=395 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/BoostAODE.cc.gcov.png b/html/bayesnet/ensembles/BoostAODE.cc.gcov.png
deleted file mode 100644
index 9690752107f1df8fbab54deb054c92b13f841980..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2128
zcmV-W2(R~vP)<h;3K|Lk000e1NJLTq002+`00E2y0{{R3zqB}h0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<Y-bqA3
zRA_<aTI+S>DhwWXfLj<kkXzVvknO*fYXcIJkOX#;n|sdX$7FW)vt9_HhhO`)$LrOW
z0B-doou3JRND7$P!{!nc6FolxMlvq1Ch{_H-vjX^aDpS?4b~GZ12TKA0xjZCfOlk^
z*=S{<i|yMt5G(8bKG*{M3;fsjxlSOwSJvzL=+EXH0uh=!`z%E{4yOCgO}eQcQf0j=
z<DxRlT9f1lSE=gpgksToEBl?Uzgu!#?n2|fO=Oh2?ZF9{b1Z8G=AvvyWvxdV#Y}z$
z7ZgTpr+5*au_orHq>X*9gpUDu{SQd(3)BKKl7>PO$Tr=R@d9$*fijt!($|{N6FSk4
zCJ>I%<{e0y2sfr5O<*=QQL`Skkic%439t#1<uL;Tm~j(fYR3t0!;VdgZf+nT#6GKJ
z%tgTL@qV_~(SfZp&IEjaE$j)WA?x0~K8QjmVFC@_CQt^xa=J4UvDi`qWv~E?qH$2V
zlR&3<(UhU*Ko@NuibrA1JSvKtA@|N+n|2&b$ytL|$2x_>G6U%sWxQl@S?BQ)n8<i2
zPx}TLvjMEEwHdw89Gmg~BBR)8oj>Xa45z@XB4@yFrZUcPJ?gJl%=W$K2eg)IOV*=<
zgAELX{GL;oHBj6P#zAysWTCmJQ~!)wM>49KrthTzjAD2R;!~$+Uh&l!UP+C>-#s(q
zvRJRn=qv@ik$kA_$cHvV-I@Ez$7LP&DO9Fb00D7M5z1YkM;kr{Hs`i)V=iNG6AJHv
zFoTsfS2H&lRUcODTWyymY@MAoY{D<)ZwJy(4Uq7OR`E90Xq{NbJ9&7mN;9cHSY7Ag
z7x)TM<q^C30JKaky7D2BU2CRnYTE9)w6CnSTLax;2P*+G1|z^{lou^f1d$A9QXtzN
z$?Pb|44$U!NbGEicS1_F!9l)mB_H1zQjR+zMYM6|ZNQXLMbA35<$P@Q(A2|{uoE@{
z3$)4*QrwVrYR+js&<K|Pwa@p}TXv~SxzHkywcgemsc4(?FZ<;Z`jqBe7Vw1bBftYD
z4{NjTkKSj!yy|8k)qoQA_bbzoB6V4D|6<@)WBr8nR()r$KD60xwp9rO=?I9lb`eq?
z)_b{_NT*1dL@w+rlThi%ulL01O;uW0#RJc+P6-XQ*{1s4y-w};QyO5Re`c>G-%Bf$
z#!}|r-s@#ASO?N{vYoHZK3QuN+wIEkaqIpMGW&XMY9LkL&_55JkPJ;gmQq-~W|?`|
z*Ro`diQH5fo;HJ#?G=iBR*=p7vF%LV5sddc2EYvyzc#*t+M%c-mR5z|(d4<7J9g1~
zvkY_%{-E5;ZfBbBOon+WwLF!=yp<IyDueCb<F}a^Fl5?*eXkb=zU$|DpT=$kE{x;R
zj?JlA(aC+iO?+-?UGG)zKEJJXs|Z;zEr(^(ag9PPoh23sTQDT2n9UYhkqd1^Q@)@(
z4M32A!l`HU$qvr7KG}75fDN)3P{Yhg#SjAMn*uI0udcP6p|Yf(a*NO(qm%gL6n4jO
zZ^PUEn4;vU$k=x}A5KVf204Je2-%%kinvYdjhWltC}f<oV`*XVAF8iaP5lLm1I-yw
zoY?D%1=b9C(-zkAG-ECF;7ye*fqbxt84!K&HaGC3sN&c^v!K`_HxMZuQ)b=k`o6(w
zi-+Cot_;vev%ynk5OQhtA5&&ZZ%l?~E##J>=nj(!j7M?IacdipT7<FI7S8|(R*O#q
zmHm1H^xnMC0Ot0N4|e8&1Lv<lJ=j87rT|l3bl4;I3K+8f-S^Gb@4|iUWzuJrren?#
zC<?R)c(9nk-1jx`2+h;y7&M^h&7?6S#m>w)&R|*x(@d$%>aeLhZG6R*AHXT<4Li<n
z*Iuy46paa_51f@}I#N)wqAMDa*;go-J&h*`JMmHHPXO01q&zX>`}L=-zkmOJ{s~qC
zhL{RmlaSvt&9~Yt5U9j%KQX7sGz_C!T)%qRJ?z}>$(yNpg3}by*+ONmBLYoU=wTn~
z=nIvpx{W$?iYz`}jh?NZe~bcFAjKhRRJ@n}u3=>sNae)0U0q{c$j*RcMFL_r?Bc}m
zGvlp~{xCFMobDb!t%o=YN6)PXDcovU?mxZ4x>)4)hHubOaTyC$*gextq7ZE_tdJ5K
ze6CCbVjLq0baBHQ8ucvTY@eq6dXn442cZ_oEyPqXi&}ss_)P11%X!L2doA!b(1`Xy
z)5RR`&$C<(<XxL#bs(M932?X%JsJ7rzQ0g@ZKOdFnUhLZf;2ldT$$DsuUthag=6sW
zIBOOXwzUkr<2?az9`@8>pc0mDwEHC~z2LLT+Rc0(vIaj1QOEUQ9_hYO*|W`VpT35p
z0M0OAa9nTd!y|6^GLWW-lb1oCM@M1U4&z11uFMG)Hx};00GzVEtF`Q1^=XM_-I65W
z7en>CfudKdJhr3bjbqpYItw6V^t`7V8%?`zN0Ff=%onf;yY=+JW*s?h#J2-)ce(U#
zQ`d{PadPgUob@9&YXvc23b#<k6U*{W45wad#@C0P(9D3%$2(9Id}GOHU7E~iVxVsx
z2Al``Ri~J^tt=qf`oNEmkMr~M{Gx%M6W~Inxdv+`DGN*81Hrs!4u(A1C6h(6)Pck6
zn}!`9HGI(vxqra>*^q=BR=Y5?Xm)Q%!e#P+ixgK!fd2sZRsYzz89c-Q0000<MNUMn
GLSTY#PYja)

diff --git a/html/bayesnet/ensembles/BoostAODE.h.func-c.html b/html/bayesnet/ensembles/BoostAODE.h.func-c.html
deleted file mode 100644
index cd1d5b3..0000000
--- a/html/bayesnet/ensembles/BoostAODE.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - BoostAODE.h<span style="font-size: 80%;"> (<a href="BoostAODE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="BoostAODE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.h.gcov.html#L25">bayesnet::BoostAODE::~BoostAODE()</a></td>
-              
-              <td class="coverFnHi">88</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/BoostAODE.h.func.html b/html/bayesnet/ensembles/BoostAODE.h.func.html
deleted file mode 100644
index 0d6e3e7..0000000
--- a/html/bayesnet/ensembles/BoostAODE.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - BoostAODE.h<span style="font-size: 80%;"> (<a href="BoostAODE.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="BoostAODE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BoostAODE.h.gcov.html#L25">bayesnet::BoostAODE::~BoostAODE()</a></td>
-              
-              <td class="coverFnHi">88</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/BoostAODE.h.gcov.frameset.html b/html/bayesnet/ensembles/BoostAODE.h.gcov.frameset.html
deleted file mode 100644
index bf76400..0000000
--- a/html/bayesnet/ensembles/BoostAODE.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="BoostAODE.h.gcov.overview.html" name="overview">
-          <frame src="BoostAODE.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/BoostAODE.h.gcov.html b/html/bayesnet/ensembles/BoostAODE.h.gcov.html
deleted file mode 100644
index f435ab1..0000000
--- a/html/bayesnet/ensembles/BoostAODE.h.gcov.html
+++ /dev/null
@@ -1,134 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - BoostAODE.h<span style="font-size: 80%;"> (source / <a href="BoostAODE.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef BOOSTAODE_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define BOOSTAODE_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;map&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;bayesnet/classifiers/SPODE.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/feature_selection/FeatureSelect.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : #include &quot;Ensemble.h&quot;</span>
-<span id="L13"><span class="lineNum">      13</span>              : namespace bayesnet {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     const struct {</span>
-<span id="L15"><span class="lineNum">      15</span>              :         std::string CFS = &quot;CFS&quot;;</span>
-<span id="L16"><span class="lineNum">      16</span>              :         std::string FCBF = &quot;FCBF&quot;;</span>
-<span id="L17"><span class="lineNum">      17</span>              :         std::string IWSS = &quot;IWSS&quot;;</span>
-<span id="L18"><span class="lineNum">      18</span>              :     }SelectFeatures;</span>
-<span id="L19"><span class="lineNum">      19</span>              :     const struct {</span>
-<span id="L20"><span class="lineNum">      20</span>              :         std::string ASC = &quot;asc&quot;;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         std::string DESC = &quot;desc&quot;;</span>
-<span id="L22"><span class="lineNum">      22</span>              :         std::string RAND = &quot;rand&quot;;</span>
-<span id="L23"><span class="lineNum">      23</span>              :     }Orders;</span>
-<span id="L24"><span class="lineNum">      24</span>              :     class BoostAODE : public Ensemble {</span>
-<span id="L25"><span class="lineNum">      25</span>              :     public:</span>
-<span id="L26"><span class="lineNum">      26</span>              :         explicit BoostAODE(bool predict_voting = false);</span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC tlaBgGNC">          88 :         virtual ~BoostAODE() = default;</span></span>
-<span id="L28"><span class="lineNum">      28</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; title = &quot;BoostAODE&quot;) const override;</span>
-<span id="L29"><span class="lineNum">      29</span>              :         void setHyperparameters(const nlohmann::json&amp; hyperparameters_) override;</span>
-<span id="L30"><span class="lineNum">      30</span>              :     protected:</span>
-<span id="L31"><span class="lineNum">      31</span>              :         void buildModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L32"><span class="lineNum">      32</span>              :         void trainModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L33"><span class="lineNum">      33</span>              :     private:</span>
-<span id="L34"><span class="lineNum">      34</span>              :         std::tuple&lt;torch::Tensor&amp;, double, bool&gt; update_weights_block(int k, torch::Tensor&amp; ytrain, torch::Tensor&amp; weights);</span>
-<span id="L35"><span class="lineNum">      35</span>              :         std::vector&lt;int&gt; initializeModels();</span>
-<span id="L36"><span class="lineNum">      36</span>              :         torch::Tensor X_train, y_train, X_test, y_test;</span>
-<span id="L37"><span class="lineNum">      37</span>              :         // Hyperparameters</span>
-<span id="L38"><span class="lineNum">      38</span>              :         bool bisection = true; // if true, use bisection stratety to add k models at once to the ensemble</span>
-<span id="L39"><span class="lineNum">      39</span>              :         int maxTolerance = 3;</span>
-<span id="L40"><span class="lineNum">      40</span>              :         std::string order_algorithm; // order to process the KBest features asc, desc, rand</span>
-<span id="L41"><span class="lineNum">      41</span>              :         bool convergence = true; //if true, stop when the model does not improve</span>
-<span id="L42"><span class="lineNum">      42</span>              :         bool convergence_best = false; // wether to keep the best accuracy to the moment or the last accuracy as prior accuracy</span>
-<span id="L43"><span class="lineNum">      43</span>              :         bool selectFeatures = false; // if true, use feature selection</span>
-<span id="L44"><span class="lineNum">      44</span>              :         std::string select_features_algorithm = Orders.DESC; // Selected feature selection algorithm</span>
-<span id="L45"><span class="lineNum">      45</span>              :         FeatureSelect* featureSelector = nullptr;</span>
-<span id="L46"><span class="lineNum">      46</span>              :         double threshold = -1;</span>
-<span id="L47"><span class="lineNum">      47</span>              :         bool block_update = false;</span>
-<span id="L48"><span class="lineNum">      48</span>              :     };</span>
-<span id="L49"><span class="lineNum">      49</span>              : }</span>
-<span id="L50"><span class="lineNum">      50</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/BoostAODE.h.gcov.overview.html b/html/bayesnet/ensembles/BoostAODE.h.gcov.overview.html
deleted file mode 100644
index b0556d7..0000000
--- a/html/bayesnet/ensembles/BoostAODE.h.gcov.overview.html
+++ /dev/null
@@ -1,33 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/BoostAODE.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="BoostAODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="BoostAODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="BoostAODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="BoostAODE.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="BoostAODE.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="BoostAODE.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="BoostAODE.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="BoostAODE.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="BoostAODE.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="BoostAODE.h.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="BoostAODE.h.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="BoostAODE.h.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="BoostAODE.h.gcov.html#L37" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="BoostAODE.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="BoostAODE.h.gcov.png" width=80 height=49 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/BoostAODE.h.gcov.png b/html/bayesnet/ensembles/BoostAODE.h.gcov.png
deleted file mode 100644
index 193c4ce28eb56d8ea14c98ca64eb1e537f64bd52..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 386
zcmeAS@N?(olHy`uVBq!ia0vp^0YGfT!VDxWnH|pqDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZuR21Wr-7sn8f&a0uf8Ji6_rtqHN+SPco
z-uyEIli957|EJu$z81+aKANVn_qLi?!xeEo?bq@(%$si8Y&~#dTRmgVWscb|>-c`z
zZaCHAbpP|rV*iHXKMZ;<S)oFVT9Su2vvu$9x+gS0qmiYt;Ol=?NtXpGmqmk$=Shb9
zzHZ*VGPhs8=zEgob7OPszE|&sgBRR<cx}_~5H?QP{Kg-*Wdk|-ekN>*x$-=|p(5qA
zhw|d;swqqbdumcs^!t{#nreNh$g1t!?I88#N?eITwmQT0Q!64Ab8Vb-R@J_cvo4hH
zw#t1Jd3xum4FTI)pUe)HR|+Vc#(#8khg5F+q~8}78szdU`?<Vu!iC25??g5nzcBIM
cg>`!wej3^bHOg?b0RxP|)78&qol`;+05!&;00000

diff --git a/html/bayesnet/ensembles/Ensemble.cc.func-c.html b/html/bayesnet/ensembles/Ensemble.cc.func-c.html
deleted file mode 100644
index a883be2..0000000
--- a/html/bayesnet/ensembles/Ensemble.cc.func-c.html
+++ /dev/null
@@ -1,258 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - Ensemble.cc<span style="font-size: 80%;"> (<a href="Ensemble.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">155</td>
-            <td class="headerCovTableEntry">155</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">25</td>
-            <td class="headerCovTableEntry">25</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Ensemble.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L212">bayesnet::Ensemble::getNumberOfStates() const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L178">bayesnet::Ensemble::show[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L187">bayesnet::Ensemble::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L204">bayesnet::Ensemble::getNumberOfEdges() const</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L196">bayesnet::Ensemble::getNumberOfNodes() const</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L131">bayesnet::Ensemble::predict_average_voting(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L14">bayesnet::Ensemble::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">40</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L102">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">44</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L167">bayesnet::Ensemble::score(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">52</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L22">bayesnet::Ensemble::compute_arg_max(std::vector&lt;std::vector&lt;double, std::allocator&lt;double&gt; &gt;, std::allocator&lt;std::vector&lt;double, std::allocator&lt;double&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">56</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L72">bayesnet::Ensemble::predict(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L156">bayesnet::Ensemble::score(at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">80</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L58">bayesnet::Ensemble::predict_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">100</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L138">bayesnet::Ensemble::predict_average_voting(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">164</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L36">bayesnet::Ensemble::voting(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">164</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L82">bayesnet::Ensemble::predict_average_proba(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">296</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L9">bayesnet::Ensemble::Ensemble(bool)</a></td>
-              
-              <td class="coverFnHi">324</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L31">bayesnet::Ensemble::compute_arg_max(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">424</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L77">bayesnet::Ensemble::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">436</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L65">bayesnet::Ensemble::predict_proba(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">452</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L109">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">532</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L145">bayesnet::Ensemble::predict_average_voting(at::Tensor&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">1216</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L89">bayesnet::Ensemble::predict_average_proba(at::Tensor&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">1468</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L127">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)::{lambda(double)#1}::operator()(double) const</a></td>
-              
-              <td class="coverFnHi">43152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L117">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)::{lambda()#1}::operator()() const::{lambda(double, double)#1}::operator()(double, double) const</a></td>
-              
-              <td class="coverFnHi">629712</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/Ensemble.cc.func.html b/html/bayesnet/ensembles/Ensemble.cc.func.html
deleted file mode 100644
index 4a8acaf..0000000
--- a/html/bayesnet/ensembles/Ensemble.cc.func.html
+++ /dev/null
@@ -1,258 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - Ensemble.cc<span style="font-size: 80%;"> (<a href="Ensemble.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">155</td>
-            <td class="headerCovTableEntry">155</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">25</td>
-            <td class="headerCovTableEntry">25</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Ensemble.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L9">bayesnet::Ensemble::Ensemble(bool)</a></td>
-              
-              <td class="coverFnHi">324</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L31">bayesnet::Ensemble::compute_arg_max(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">424</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L22">bayesnet::Ensemble::compute_arg_max(std::vector&lt;std::vector&lt;double, std::allocator&lt;double&gt; &gt;, std::allocator&lt;std::vector&lt;double, std::allocator&lt;double&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">56</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L204">bayesnet::Ensemble::getNumberOfEdges() const</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L196">bayesnet::Ensemble::getNumberOfNodes() const</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L212">bayesnet::Ensemble::getNumberOfStates() const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L187">bayesnet::Ensemble::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">16</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L77">bayesnet::Ensemble::predict(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">436</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L72">bayesnet::Ensemble::predict(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">68</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L82">bayesnet::Ensemble::predict_average_proba(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">296</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L89">bayesnet::Ensemble::predict_average_proba(at::Tensor&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">1468</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L102">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">44</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L109">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">532</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L117">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)::{lambda()#1}::operator()() const::{lambda(double, double)#1}::operator()(double, double) const</a></td>
-              
-              <td class="coverFnHi">629712</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L127">bayesnet::Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)::{lambda(double)#1}::operator()(double) const</a></td>
-              
-              <td class="coverFnHi">43152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L138">bayesnet::Ensemble::predict_average_voting(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">164</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L145">bayesnet::Ensemble::predict_average_voting(at::Tensor&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">1216</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L131">bayesnet::Ensemble::predict_average_voting(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L65">bayesnet::Ensemble::predict_proba(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">452</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L58">bayesnet::Ensemble::predict_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">100</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L156">bayesnet::Ensemble::score(at::Tensor&amp;, at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">80</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L167">bayesnet::Ensemble::score(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">52</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L178">bayesnet::Ensemble::show[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L14">bayesnet::Ensemble::trainModel(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">40</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.cc.gcov.html#L36">bayesnet::Ensemble::voting(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">164</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/Ensemble.cc.gcov.frameset.html b/html/bayesnet/ensembles/Ensemble.cc.gcov.frameset.html
deleted file mode 100644
index 0a30b16..0000000
--- a/html/bayesnet/ensembles/Ensemble.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Ensemble.cc.gcov.overview.html" name="overview">
-          <frame src="Ensemble.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/Ensemble.cc.gcov.html b/html/bayesnet/ensembles/Ensemble.cc.gcov.html
deleted file mode 100644
index 9113988..0000000
--- a/html/bayesnet/ensembles/Ensemble.cc.gcov.html
+++ /dev/null
@@ -1,306 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - Ensemble.cc<span style="font-size: 80%;"> (source / <a href="Ensemble.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">155</td>
-            <td class="headerCovTableEntry">155</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">25</td>
-            <td class="headerCovTableEntry">25</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;Ensemble.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">         324 :     Ensemble::Ensemble(bool predict_voting) : Classifier(Network()), n_models(0), predict_voting(predict_voting)</span></span>
-<span id="L12"><span class="lineNum">      12</span>              :     {</span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">         324 :     };</span></span>
-<span id="L15"><span class="lineNum">      15</span>              :     const std::string ENSEMBLE_NOT_FITTED = &quot;Ensemble has not been fitted&quot;;</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">          40 :     void Ensemble::trainModel(const torch::Tensor&amp; weights)</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :     {</span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          40 :         n_models = models.size();</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">         660 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :             // fit with std::vectors</span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">         620 :             models[i]-&gt;fit(dataset, features, className, states);</span></span>
-<span id="L22"><span class="lineNum">      22</span>              :         }</span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          40 :     }</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">          56 :     std::vector&lt;int&gt; Ensemble::compute_arg_max(std::vector&lt;std::vector&lt;double&gt;&gt;&amp; X)</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :     {</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          56 :         std::vector&lt;int&gt; y_pred;</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">       12400 :         for (auto i = 0; i &lt; X.size(); ++i) {</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">       12344 :             auto max = std::max_element(X[i].begin(), X[i].end());</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">       24688 :             y_pred.push_back(std::distance(X[i].begin(), max));</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :         }</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">         112 :         return y_pred;</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">          56 :     }</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">         424 :     torch::Tensor Ensemble::compute_arg_max(torch::Tensor&amp; X)</span></span>
-<span id="L34"><span class="lineNum">      34</span>              :     {</span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">         424 :         auto y_pred = torch::argmax(X, 1);</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">         848 :         return y_pred;</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">         424 :     }</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">         164 :     torch::Tensor Ensemble::voting(torch::Tensor&amp; votes)</span></span>
-<span id="L39"><span class="lineNum">      39</span>              :     {</span>
-<span id="L40"><span class="lineNum">      40</span>              :         // Convert m x n_models tensor to a m x n_class_states with voting probabilities</span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">         164 :         auto y_pred_ = votes.accessor&lt;int, 2&gt;();</span></span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">         164 :         std::vector&lt;int&gt; y_pred_final;</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">         164 :         int numClasses = states.at(className).size();</span></span>
-<span id="L44"><span class="lineNum">      44</span>              :         // votes is m x n_models with the prediction of every model for each sample</span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">         164 :         auto result = torch::zeros({ votes.size(0), numClasses }, torch::kFloat32);</span></span>
-<span id="L46"><span class="lineNum">      46</span> <span class="tlaGNC">         164 :         auto sum = std::reduce(significanceModels.begin(), significanceModels.end());</span></span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">       42084 :         for (int i = 0; i &lt; votes.size(0); ++i) {</span></span>
-<span id="L48"><span class="lineNum">      48</span>              :             // n_votes store in each index (value of class) the significance added by each model</span>
-<span id="L49"><span class="lineNum">      49</span>              :             // i.e. n_votes[0] contains how much value has the value 0 of class. That value is generated by the models predictions</span>
-<span id="L50"><span class="lineNum">      50</span> <span class="tlaGNC">       41920 :             std::vector&lt;double&gt; n_votes(numClasses, 0.0);</span></span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">      375272 :             for (int j = 0; j &lt; n_models; ++j) {</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">      333352 :                 n_votes[y_pred_[i][j]] += significanceModels.at(j);</span></span>
-<span id="L53"><span class="lineNum">      53</span>              :             }</span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">       41920 :             result[i] = torch::tensor(n_votes);</span></span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">       41920 :         }</span></span>
-<span id="L56"><span class="lineNum">      56</span>              :         // To only do one division and gain precision</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">         164 :         result /= sum;</span></span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">         328 :         return result;</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">         164 :     }</span></span>
-<span id="L60"><span class="lineNum">      60</span> <span class="tlaGNC">         100 :     std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
-<span id="L61"><span class="lineNum">      61</span>              :     {</span>
-<span id="L62"><span class="lineNum">      62</span> <span class="tlaGNC">         100 :         if (!fitted) {</span></span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">          24 :             throw std::logic_error(ENSEMBLE_NOT_FITTED);</span></span>
-<span id="L64"><span class="lineNum">      64</span>              :         }</span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">          76 :         return predict_voting ? predict_average_voting(X) : predict_average_proba(X);</span></span>
-<span id="L66"><span class="lineNum">      66</span>              :     }</span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">         452 :     torch::Tensor Ensemble::predict_proba(torch::Tensor&amp; X)</span></span>
-<span id="L68"><span class="lineNum">      68</span>              :     {</span>
-<span id="L69"><span class="lineNum">      69</span> <span class="tlaGNC">         452 :         if (!fitted) {</span></span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">          24 :             throw std::logic_error(ENSEMBLE_NOT_FITTED);</span></span>
-<span id="L71"><span class="lineNum">      71</span>              :         }</span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">         428 :         return predict_voting ? predict_average_voting(X) : predict_average_proba(X);</span></span>
-<span id="L73"><span class="lineNum">      73</span>              :     }</span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">          68 :     std::vector&lt;int&gt; Ensemble::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
-<span id="L75"><span class="lineNum">      75</span>              :     {</span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">          68 :         auto res = predict_proba(X);</span></span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">         104 :         return compute_arg_max(res);</span></span>
-<span id="L78"><span class="lineNum">      78</span> <span class="tlaGNC">          52 :     }</span></span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">         436 :     torch::Tensor Ensemble::predict(torch::Tensor&amp; X)</span></span>
-<span id="L80"><span class="lineNum">      80</span>              :     {</span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">         436 :         auto res = predict_proba(X);</span></span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">         840 :         return compute_arg_max(res);</span></span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">         420 :     }</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">         296 :     torch::Tensor Ensemble::predict_average_proba(torch::Tensor&amp; X)</span></span>
-<span id="L85"><span class="lineNum">      85</span>              :     {</span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">         296 :         auto n_states = models[0]-&gt;getClassNumStates();</span></span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">         296 :         torch::Tensor y_pred = torch::zeros({ X.size(1), n_states }, torch::kFloat32);</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">         296 :         auto threads{ std::vector&lt;std::thread&gt;() };</span></span>
-<span id="L89"><span class="lineNum">      89</span> <span class="tlaGNC">         296 :         std::mutex mtx;</span></span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">        1764 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L91"><span class="lineNum">      91</span> <span class="tlaGNC">        1468 :             threads.push_back(std::thread([&amp;, i]() {</span></span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">        1468 :                 auto ypredict = models[i]-&gt;predict_proba(X);</span></span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaGNC">        1468 :                 std::lock_guard&lt;std::mutex&gt; lock(mtx);</span></span>
-<span id="L94"><span class="lineNum">      94</span> <span class="tlaGNC">        1468 :                 y_pred += ypredict * significanceModels[i];</span></span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaGNC">        1468 :                 }));</span></span>
-<span id="L96"><span class="lineNum">      96</span>              :         }</span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC">        1764 :         for (auto&amp; thread : threads) {</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">        1468 :             thread.join();</span></span>
-<span id="L99"><span class="lineNum">      99</span>              :         }</span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">         296 :         auto sum = std::reduce(significanceModels.begin(), significanceModels.end());</span></span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">         296 :         y_pred /= sum;</span></span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">         592 :         return y_pred;</span></span>
-<span id="L103"><span class="lineNum">     103</span> <span class="tlaGNC">         296 :     }</span></span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">          44 :     std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_average_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
-<span id="L105"><span class="lineNum">     105</span>              :     {</span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">          44 :         auto n_states = models[0]-&gt;getClassNumStates();</span></span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">          44 :         std::vector&lt;std::vector&lt;double&gt;&gt; y_pred(X[0].size(), std::vector&lt;double&gt;(n_states, 0.0));</span></span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">          44 :         auto threads{ std::vector&lt;std::thread&gt;() };</span></span>
-<span id="L109"><span class="lineNum">     109</span> <span class="tlaGNC">          44 :         std::mutex mtx;</span></span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">         576 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">         532 :             threads.push_back(std::thread([&amp;, i]() {</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">         532 :                 auto ypredict = models[i]-&gt;predict_proba(X);</span></span>
-<span id="L113"><span class="lineNum">     113</span> <span class="tlaGNC">         532 :                 assert(ypredict.size() == y_pred.size());</span></span>
-<span id="L114"><span class="lineNum">     114</span> <span class="tlaGNC">         532 :                 assert(ypredict[0].size() == y_pred[0].size());</span></span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">         532 :                 std::lock_guard&lt;std::mutex&gt; lock(mtx);</span></span>
-<span id="L116"><span class="lineNum">     116</span>              :                 // Multiply each prediction by the significance of the model and then add it to the final prediction</span>
-<span id="L117"><span class="lineNum">     117</span> <span class="tlaGNC">      110284 :                 for (auto j = 0; j &lt; ypredict.size(); ++j) {</span></span>
-<span id="L118"><span class="lineNum">     118</span> <span class="tlaGNC">      109752 :                     std::transform(y_pred[j].begin(), y_pred[j].end(), ypredict[j].begin(), y_pred[j].begin(),</span></span>
-<span id="L119"><span class="lineNum">     119</span> <span class="tlaGNC">      739464 :                         [significanceModels = significanceModels[i]](double x, double y) { return x + y * significanceModels; });</span></span>
-<span id="L120"><span class="lineNum">     120</span>              :                 }</span>
-<span id="L121"><span class="lineNum">     121</span> <span class="tlaGNC">         532 :                 }));</span></span>
-<span id="L122"><span class="lineNum">     122</span>              :         }</span>
-<span id="L123"><span class="lineNum">     123</span> <span class="tlaGNC">         576 :         for (auto&amp; thread : threads) {</span></span>
-<span id="L124"><span class="lineNum">     124</span> <span class="tlaGNC">         532 :             thread.join();</span></span>
-<span id="L125"><span class="lineNum">     125</span>              :         }</span>
-<span id="L126"><span class="lineNum">     126</span> <span class="tlaGNC">          44 :         auto sum = std::reduce(significanceModels.begin(), significanceModels.end());</span></span>
-<span id="L127"><span class="lineNum">     127</span>              :         //Divide each element of the prediction by the sum of the significances</span>
-<span id="L128"><span class="lineNum">     128</span> <span class="tlaGNC">        8436 :         for (auto j = 0; j &lt; y_pred.size(); ++j) {</span></span>
-<span id="L129"><span class="lineNum">     129</span> <span class="tlaGNC">       51544 :             std::transform(y_pred[j].begin(), y_pred[j].end(), y_pred[j].begin(), [sum](double x) { return x / sum; });</span></span>
-<span id="L130"><span class="lineNum">     130</span>              :         }</span>
-<span id="L131"><span class="lineNum">     131</span> <span class="tlaGNC">          88 :         return y_pred;</span></span>
-<span id="L132"><span class="lineNum">     132</span> <span class="tlaGNC">          44 :     }</span></span>
-<span id="L133"><span class="lineNum">     133</span> <span class="tlaGNC">          32 :     std::vector&lt;std::vector&lt;double&gt;&gt; Ensemble::predict_average_voting(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
-<span id="L134"><span class="lineNum">     134</span>              :     {</span>
-<span id="L135"><span class="lineNum">     135</span> <span class="tlaGNC">          32 :         torch::Tensor Xt = bayesnet::vectorToTensor(X, false);</span></span>
-<span id="L136"><span class="lineNum">     136</span> <span class="tlaGNC">          32 :         auto y_pred = predict_average_voting(Xt);</span></span>
-<span id="L137"><span class="lineNum">     137</span> <span class="tlaGNC">          32 :         std::vector&lt;std::vector&lt;double&gt;&gt; result = tensorToVectorDouble(y_pred);</span></span>
-<span id="L138"><span class="lineNum">     138</span> <span class="tlaGNC">          64 :         return result;</span></span>
-<span id="L139"><span class="lineNum">     139</span> <span class="tlaGNC">          32 :     }</span></span>
-<span id="L140"><span class="lineNum">     140</span> <span class="tlaGNC">         164 :     torch::Tensor Ensemble::predict_average_voting(torch::Tensor&amp; X)</span></span>
-<span id="L141"><span class="lineNum">     141</span>              :     {</span>
-<span id="L142"><span class="lineNum">     142</span>              :         // Build a m x n_models tensor with the predictions of each model</span>
-<span id="L143"><span class="lineNum">     143</span> <span class="tlaGNC">         164 :         torch::Tensor y_pred = torch::zeros({ X.size(1), n_models }, torch::kInt32);</span></span>
-<span id="L144"><span class="lineNum">     144</span> <span class="tlaGNC">         164 :         auto threads{ std::vector&lt;std::thread&gt;() };</span></span>
-<span id="L145"><span class="lineNum">     145</span> <span class="tlaGNC">         164 :         std::mutex mtx;</span></span>
-<span id="L146"><span class="lineNum">     146</span> <span class="tlaGNC">        1380 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L147"><span class="lineNum">     147</span> <span class="tlaGNC">        1216 :             threads.push_back(std::thread([&amp;, i]() {</span></span>
-<span id="L148"><span class="lineNum">     148</span> <span class="tlaGNC">        1216 :                 auto ypredict = models[i]-&gt;predict(X);</span></span>
-<span id="L149"><span class="lineNum">     149</span> <span class="tlaGNC">        1216 :                 std::lock_guard&lt;std::mutex&gt; lock(mtx);</span></span>
-<span id="L150"><span class="lineNum">     150</span> <span class="tlaGNC">        3648 :                 y_pred.index_put_({ &quot;...&quot;, i }, ypredict);</span></span>
-<span id="L151"><span class="lineNum">     151</span> <span class="tlaGNC">        2432 :                 }));</span></span>
-<span id="L152"><span class="lineNum">     152</span>              :         }</span>
-<span id="L153"><span class="lineNum">     153</span> <span class="tlaGNC">        1380 :         for (auto&amp; thread : threads) {</span></span>
-<span id="L154"><span class="lineNum">     154</span> <span class="tlaGNC">        1216 :             thread.join();</span></span>
-<span id="L155"><span class="lineNum">     155</span>              :         }</span>
-<span id="L156"><span class="lineNum">     156</span> <span class="tlaGNC">         328 :         return voting(y_pred);</span></span>
-<span id="L157"><span class="lineNum">     157</span> <span class="tlaGNC">         164 :     }</span></span>
-<span id="L158"><span class="lineNum">     158</span> <span class="tlaGNC">          80 :     float Ensemble::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</span></span>
-<span id="L159"><span class="lineNum">     159</span>              :     {</span>
-<span id="L160"><span class="lineNum">     160</span> <span class="tlaGNC">          80 :         auto y_pred = predict(X);</span></span>
-<span id="L161"><span class="lineNum">     161</span> <span class="tlaGNC">          72 :         int correct = 0;</span></span>
-<span id="L162"><span class="lineNum">     162</span> <span class="tlaGNC">       22584 :         for (int i = 0; i &lt; y_pred.size(0); ++i) {</span></span>
-<span id="L163"><span class="lineNum">     163</span> <span class="tlaGNC">       22512 :             if (y_pred[i].item&lt;int&gt;() == y[i].item&lt;int&gt;()) {</span></span>
-<span id="L164"><span class="lineNum">     164</span> <span class="tlaGNC">       19668 :                 correct++;</span></span>
-<span id="L165"><span class="lineNum">     165</span>              :             }</span>
-<span id="L166"><span class="lineNum">     166</span>              :         }</span>
-<span id="L167"><span class="lineNum">     167</span> <span class="tlaGNC">         144 :         return (double)correct / y_pred.size(0);</span></span>
-<span id="L168"><span class="lineNum">     168</span> <span class="tlaGNC">          72 :     }</span></span>
-<span id="L169"><span class="lineNum">     169</span> <span class="tlaGNC">          52 :     float Ensemble::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</span></span>
-<span id="L170"><span class="lineNum">     170</span>              :     {</span>
-<span id="L171"><span class="lineNum">     171</span> <span class="tlaGNC">          52 :         auto y_pred = predict(X);</span></span>
-<span id="L172"><span class="lineNum">     172</span> <span class="tlaGNC">          44 :         int correct = 0;</span></span>
-<span id="L173"><span class="lineNum">     173</span> <span class="tlaGNC">       11164 :         for (int i = 0; i &lt; y_pred.size(); ++i) {</span></span>
-<span id="L174"><span class="lineNum">     174</span> <span class="tlaGNC">       11120 :             if (y_pred[i] == y[i]) {</span></span>
-<span id="L175"><span class="lineNum">     175</span> <span class="tlaGNC">        9276 :                 correct++;</span></span>
-<span id="L176"><span class="lineNum">     176</span>              :             }</span>
-<span id="L177"><span class="lineNum">     177</span>              :         }</span>
-<span id="L178"><span class="lineNum">     178</span> <span class="tlaGNC">          88 :         return (double)correct / y_pred.size();</span></span>
-<span id="L179"><span class="lineNum">     179</span> <span class="tlaGNC">          44 :     }</span></span>
-<span id="L180"><span class="lineNum">     180</span> <span class="tlaGNC">           4 :     std::vector&lt;std::string&gt; Ensemble::show() const</span></span>
-<span id="L181"><span class="lineNum">     181</span>              :     {</span>
-<span id="L182"><span class="lineNum">     182</span> <span class="tlaGNC">           4 :         auto result = std::vector&lt;std::string&gt;();</span></span>
-<span id="L183"><span class="lineNum">     183</span> <span class="tlaGNC">          20 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L184"><span class="lineNum">     184</span> <span class="tlaGNC">          16 :             auto res = models[i]-&gt;show();</span></span>
-<span id="L185"><span class="lineNum">     185</span> <span class="tlaGNC">          16 :             result.insert(result.end(), res.begin(), res.end());</span></span>
-<span id="L186"><span class="lineNum">     186</span> <span class="tlaGNC">          16 :         }</span></span>
-<span id="L187"><span class="lineNum">     187</span> <span class="tlaGNC">           8 :         return result;</span></span>
-<span id="L188"><span class="lineNum">     188</span> <span class="tlaGNC">           4 :     }</span></span>
-<span id="L189"><span class="lineNum">     189</span> <span class="tlaGNC">          16 :     std::vector&lt;std::string&gt; Ensemble::graph(const std::string&amp; title) const</span></span>
-<span id="L190"><span class="lineNum">     190</span>              :     {</span>
-<span id="L191"><span class="lineNum">     191</span> <span class="tlaGNC">          16 :         auto result = std::vector&lt;std::string&gt;();</span></span>
-<span id="L192"><span class="lineNum">     192</span> <span class="tlaGNC">         108 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L193"><span class="lineNum">     193</span> <span class="tlaGNC">          92 :             auto res = models[i]-&gt;graph(title + &quot;_&quot; + std::to_string(i));</span></span>
-<span id="L194"><span class="lineNum">     194</span> <span class="tlaGNC">          92 :             result.insert(result.end(), res.begin(), res.end());</span></span>
-<span id="L195"><span class="lineNum">     195</span> <span class="tlaGNC">          92 :         }</span></span>
-<span id="L196"><span class="lineNum">     196</span> <span class="tlaGNC">          32 :         return result;</span></span>
-<span id="L197"><span class="lineNum">     197</span> <span class="tlaGNC">          16 :     }</span></span>
-<span id="L198"><span class="lineNum">     198</span> <span class="tlaGNC">          28 :     int Ensemble::getNumberOfNodes() const</span></span>
-<span id="L199"><span class="lineNum">     199</span>              :     {</span>
-<span id="L200"><span class="lineNum">     200</span> <span class="tlaGNC">          28 :         int nodes = 0;</span></span>
-<span id="L201"><span class="lineNum">     201</span> <span class="tlaGNC">         348 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L202"><span class="lineNum">     202</span> <span class="tlaGNC">         320 :             nodes += models[i]-&gt;getNumberOfNodes();</span></span>
-<span id="L203"><span class="lineNum">     203</span>              :         }</span>
-<span id="L204"><span class="lineNum">     204</span> <span class="tlaGNC">          28 :         return nodes;</span></span>
-<span id="L205"><span class="lineNum">     205</span>              :     }</span>
-<span id="L206"><span class="lineNum">     206</span> <span class="tlaGNC">          28 :     int Ensemble::getNumberOfEdges() const</span></span>
-<span id="L207"><span class="lineNum">     207</span>              :     {</span>
-<span id="L208"><span class="lineNum">     208</span> <span class="tlaGNC">          28 :         int edges = 0;</span></span>
-<span id="L209"><span class="lineNum">     209</span> <span class="tlaGNC">         348 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L210"><span class="lineNum">     210</span> <span class="tlaGNC">         320 :             edges += models[i]-&gt;getNumberOfEdges();</span></span>
-<span id="L211"><span class="lineNum">     211</span>              :         }</span>
-<span id="L212"><span class="lineNum">     212</span> <span class="tlaGNC">          28 :         return edges;</span></span>
-<span id="L213"><span class="lineNum">     213</span>              :     }</span>
-<span id="L214"><span class="lineNum">     214</span> <span class="tlaGNC">           4 :     int Ensemble::getNumberOfStates() const</span></span>
-<span id="L215"><span class="lineNum">     215</span>              :     {</span>
-<span id="L216"><span class="lineNum">     216</span> <span class="tlaGNC">           4 :         int nstates = 0;</span></span>
-<span id="L217"><span class="lineNum">     217</span> <span class="tlaGNC">          20 :         for (auto i = 0; i &lt; n_models; ++i) {</span></span>
-<span id="L218"><span class="lineNum">     218</span> <span class="tlaGNC">          16 :             nstates += models[i]-&gt;getNumberOfStates();</span></span>
-<span id="L219"><span class="lineNum">     219</span>              :         }</span>
-<span id="L220"><span class="lineNum">     220</span> <span class="tlaGNC">           4 :         return nstates;</span></span>
-<span id="L221"><span class="lineNum">     221</span>              :     }</span>
-<span id="L222"><span class="lineNum">     222</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/Ensemble.cc.gcov.overview.html b/html/bayesnet/ensembles/Ensemble.cc.gcov.overview.html
deleted file mode 100644
index 8f27468..0000000
--- a/html/bayesnet/ensembles/Ensemble.cc.gcov.overview.html
+++ /dev/null
@@ -1,76 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Ensemble.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Ensemble.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Ensemble.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Ensemble.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Ensemble.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Ensemble.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Ensemble.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Ensemble.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Ensemble.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Ensemble.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Ensemble.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Ensemble.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Ensemble.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Ensemble.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Ensemble.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Ensemble.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Ensemble.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Ensemble.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="Ensemble.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="Ensemble.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="Ensemble.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="Ensemble.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="Ensemble.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="Ensemble.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="Ensemble.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="Ensemble.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="Ensemble.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="Ensemble.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="Ensemble.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="Ensemble.cc.gcov.html#L105" target="source" alt="overview">
-            <area shape="rect" coords="0,120,79,123" href="Ensemble.cc.gcov.html#L109" target="source" alt="overview">
-            <area shape="rect" coords="0,124,79,127" href="Ensemble.cc.gcov.html#L113" target="source" alt="overview">
-            <area shape="rect" coords="0,128,79,131" href="Ensemble.cc.gcov.html#L117" target="source" alt="overview">
-            <area shape="rect" coords="0,132,79,135" href="Ensemble.cc.gcov.html#L121" target="source" alt="overview">
-            <area shape="rect" coords="0,136,79,139" href="Ensemble.cc.gcov.html#L125" target="source" alt="overview">
-            <area shape="rect" coords="0,140,79,143" href="Ensemble.cc.gcov.html#L129" target="source" alt="overview">
-            <area shape="rect" coords="0,144,79,147" href="Ensemble.cc.gcov.html#L133" target="source" alt="overview">
-            <area shape="rect" coords="0,148,79,151" href="Ensemble.cc.gcov.html#L137" target="source" alt="overview">
-            <area shape="rect" coords="0,152,79,155" href="Ensemble.cc.gcov.html#L141" target="source" alt="overview">
-            <area shape="rect" coords="0,156,79,159" href="Ensemble.cc.gcov.html#L145" target="source" alt="overview">
-            <area shape="rect" coords="0,160,79,163" href="Ensemble.cc.gcov.html#L149" target="source" alt="overview">
-            <area shape="rect" coords="0,164,79,167" href="Ensemble.cc.gcov.html#L153" target="source" alt="overview">
-            <area shape="rect" coords="0,168,79,171" href="Ensemble.cc.gcov.html#L157" target="source" alt="overview">
-            <area shape="rect" coords="0,172,79,175" href="Ensemble.cc.gcov.html#L161" target="source" alt="overview">
-            <area shape="rect" coords="0,176,79,179" href="Ensemble.cc.gcov.html#L165" target="source" alt="overview">
-            <area shape="rect" coords="0,180,79,183" href="Ensemble.cc.gcov.html#L169" target="source" alt="overview">
-            <area shape="rect" coords="0,184,79,187" href="Ensemble.cc.gcov.html#L173" target="source" alt="overview">
-            <area shape="rect" coords="0,188,79,191" href="Ensemble.cc.gcov.html#L177" target="source" alt="overview">
-            <area shape="rect" coords="0,192,79,195" href="Ensemble.cc.gcov.html#L181" target="source" alt="overview">
-            <area shape="rect" coords="0,196,79,199" href="Ensemble.cc.gcov.html#L185" target="source" alt="overview">
-            <area shape="rect" coords="0,200,79,203" href="Ensemble.cc.gcov.html#L189" target="source" alt="overview">
-            <area shape="rect" coords="0,204,79,207" href="Ensemble.cc.gcov.html#L193" target="source" alt="overview">
-            <area shape="rect" coords="0,208,79,211" href="Ensemble.cc.gcov.html#L197" target="source" alt="overview">
-            <area shape="rect" coords="0,212,79,215" href="Ensemble.cc.gcov.html#L201" target="source" alt="overview">
-            <area shape="rect" coords="0,216,79,219" href="Ensemble.cc.gcov.html#L205" target="source" alt="overview">
-            <area shape="rect" coords="0,220,79,223" href="Ensemble.cc.gcov.html#L209" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Ensemble.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Ensemble.cc.gcov.png" width=80 height=221 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/Ensemble.cc.gcov.png b/html/bayesnet/ensembles/Ensemble.cc.gcov.png
deleted file mode 100644
index 5c1d1c73604c53bb2263c6a49198665849939b4e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 912
zcmV;B18@9^P)<h;3K|Lk000e1NJLTq002+`007<u0{{R3ScRH40000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<U9!W$&
zRA_<iS`Bu?AP9~($gWUsfcL-KBK{$wk+j{*y4m;g(|tksP#|>Mm;0KJEsX}~;$c6I
zd;Ve<z@0s;jz;2Mo<9N3bX*?AhRLjUiA05ak-+Wo@O5B5Bl{BQcmVOSGE7siNent-
zqhMAM=|d`F0s>RL;1hsJTr?&eNI()hdMpAl=!FLu;-uKaw|F}K2wA&{#NIpD*+ak;
zb1YW3&L0gsk6Gp%Xy7prDU@t!?RjJam`5!<lDwH68E7ONRV9%FO@ssA%b;odgT|nk
z!WL2}k~-&71a$i`N}kwbq^(x-MFG8K-Fh5ZU)EzQlFU(n5WE!`hZvg3e`I@#RElSE
zY$<3O1t`}yf2IP1aLAK;b=TC`<D;hW6lMlr)D1drnevi%L+YdpN1wwJlzEdx?&5NV
z%G8aP;YKCAk;y3GyeHuK3Sv4od98cW7yyXAL|TdF+M<XCEJ%FIE>xEc8^(|lBl0=0
z=InNKKx@R6Zfx#e6LH~ssqks^j4J^232016HJU9MGX*~DYv{J?FE&QlbfHubE60m)
z#*${hL7TRGN+X_SE~%y9n@NOWWzB$=vQXI3ZAzABG|N?BD^U8917pVGi5pem%w}@{
zK+nnwJqES(yl(2{D&?bcp>5A-lh><{-!r9%Q_8}2a;&uA6gc07iAu;K!LzGWhbt6y
zmT&b^p@{jB0eMM`@);<=v&HteBSosIi|^tEl=l?WR=E0BF<#+f@;meZR8H8q(sV&d
zdZV}2EQpVdB{rhEHU85r5})hQD_sT0x(e|%m+t80caM$Azft#$fUUrDU}UL-equB$
zdvpdgtZ=!yOV)fz6Y#Wq9f0Q&Wvgitad`z?Z?x>X<e8;@PZ&!-xTI;bS}^kEb1v*$
zc_41*!jo=cbl#w^aYGksy}e6mn3aTm48PurSCzB}dtOUv%4k`kG<mtR?o;=GyiC#k
zeuR^FHUmC>58)z4DZh{yC1xI1UhOS}BVQ1T53lezhyU}qF!h^x?4zw!qA?e)m)9MU
mN-=ER*JrN)i&n4xlgT&X@&!Q55^V+m0000<MNUMnLSTY0uc-?F

diff --git a/html/bayesnet/ensembles/Ensemble.h.func-c.html b/html/bayesnet/ensembles/Ensemble.h.func-c.html
deleted file mode 100644
index a1cf1a8..0000000
--- a/html/bayesnet/ensembles/Ensemble.h.func-c.html
+++ /dev/null
@@ -1,104 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - Ensemble.h<span style="font-size: 80%;"> (<a href="Ensemble.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Ensemble.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.h.gcov.html#L32">bayesnet::Ensemble::dump_cpt[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.h.gcov.html#L28">bayesnet::Ensemble::topological_order[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.h.gcov.html#L16">bayesnet::Ensemble::~Ensemble()</a></td>
-              
-              <td class="coverFnHi">124</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/Ensemble.h.func.html b/html/bayesnet/ensembles/Ensemble.h.func.html
deleted file mode 100644
index d0e8f25..0000000
--- a/html/bayesnet/ensembles/Ensemble.h.func.html
+++ /dev/null
@@ -1,104 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - Ensemble.h<span style="font-size: 80%;"> (<a href="Ensemble.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Ensemble.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.h.gcov.html#L32">bayesnet::Ensemble::dump_cpt[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.h.gcov.html#L28">bayesnet::Ensemble::topological_order[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">12</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Ensemble.h.gcov.html#L16">bayesnet::Ensemble::~Ensemble()</a></td>
-              
-              <td class="coverFnHi">124</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/Ensemble.h.gcov.frameset.html b/html/bayesnet/ensembles/Ensemble.h.gcov.frameset.html
deleted file mode 100644
index e552355..0000000
--- a/html/bayesnet/ensembles/Ensemble.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Ensemble.h.gcov.overview.html" name="overview">
-          <frame src="Ensemble.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/ensembles/Ensemble.h.gcov.html b/html/bayesnet/ensembles/Ensemble.h.gcov.html
deleted file mode 100644
index e0df189..0000000
--- a/html/bayesnet/ensembles/Ensemble.h.gcov.html
+++ /dev/null
@@ -1,137 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - Ensemble.h<span style="font-size: 80%;"> (source / <a href="Ensemble.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">5</td>
-            <td class="headerCovTableEntry">5</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">3</td>
-            <td class="headerCovTableEntry">3</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef ENSEMBLE_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define ENSEMBLE_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;bayesnet/utils/BayesMetrics.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : #include &quot;bayesnet/classifiers/Classifier.h&quot;</span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span>              : namespace bayesnet {</span>
-<span id="L15"><span class="lineNum">      15</span>              :     class Ensemble : public Classifier {</span>
-<span id="L16"><span class="lineNum">      16</span>              :     public:</span>
-<span id="L17"><span class="lineNum">      17</span>              :         Ensemble(bool predict_voting = true);</span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC tlaBgGNC">         124 :         virtual ~Ensemble() = default;</span></span>
-<span id="L19"><span class="lineNum">      19</span>              :         torch::Tensor predict(torch::Tensor&amp; X) override;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         torch::Tensor predict_proba(torch::Tensor&amp; X) override;</span>
-<span id="L22"><span class="lineNum">      22</span>              :         std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
-<span id="L23"><span class="lineNum">      23</span>              :         float score(torch::Tensor&amp; X, torch::Tensor&amp; y) override;</span>
-<span id="L24"><span class="lineNum">      24</span>              :         float score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) override;</span>
-<span id="L25"><span class="lineNum">      25</span>              :         int getNumberOfNodes() const override;</span>
-<span id="L26"><span class="lineNum">      26</span>              :         int getNumberOfEdges() const override;</span>
-<span id="L27"><span class="lineNum">      27</span>              :         int getNumberOfStates() const override;</span>
-<span id="L28"><span class="lineNum">      28</span>              :         std::vector&lt;std::string&gt; show() const override;</span>
-<span id="L29"><span class="lineNum">      29</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; title) const override;</span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">          12 :         std::vector&lt;std::string&gt; topological_order()  override</span></span>
-<span id="L31"><span class="lineNum">      31</span>              :         {</span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">          12 :             return std::vector&lt;std::string&gt;();</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :         }</span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">           8 :         std::string dump_cpt() const override</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :         {</span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">          16 :             return &quot;&quot;;</span></span>
-<span id="L37"><span class="lineNum">      37</span>              :         }</span>
-<span id="L38"><span class="lineNum">      38</span>              :     protected:</span>
-<span id="L39"><span class="lineNum">      39</span>              :         torch::Tensor predict_average_voting(torch::Tensor&amp; X);</span>
-<span id="L40"><span class="lineNum">      40</span>              :         std::vector&lt;std::vector&lt;double&gt;&gt; predict_average_voting(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X);</span>
-<span id="L41"><span class="lineNum">      41</span>              :         torch::Tensor predict_average_proba(torch::Tensor&amp; X);</span>
-<span id="L42"><span class="lineNum">      42</span>              :         std::vector&lt;std::vector&lt;double&gt;&gt; predict_average_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X);</span>
-<span id="L43"><span class="lineNum">      43</span>              :         torch::Tensor compute_arg_max(torch::Tensor&amp; X);</span>
-<span id="L44"><span class="lineNum">      44</span>              :         std::vector&lt;int&gt; compute_arg_max(std::vector&lt;std::vector&lt;double&gt;&gt;&amp; X);</span>
-<span id="L45"><span class="lineNum">      45</span>              :         torch::Tensor voting(torch::Tensor&amp; votes);</span>
-<span id="L46"><span class="lineNum">      46</span>              :         unsigned n_models;</span>
-<span id="L47"><span class="lineNum">      47</span>              :         std::vector&lt;std::unique_ptr&lt;Classifier&gt;&gt; models;</span>
-<span id="L48"><span class="lineNum">      48</span>              :         std::vector&lt;double&gt; significanceModels;</span>
-<span id="L49"><span class="lineNum">      49</span>              :         void trainModel(const torch::Tensor&amp; weights) override;</span>
-<span id="L50"><span class="lineNum">      50</span>              :         bool predict_voting;</span>
-<span id="L51"><span class="lineNum">      51</span>              :     };</span>
-<span id="L52"><span class="lineNum">      52</span>              : }</span>
-<span id="L53"><span class="lineNum">      53</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/Ensemble.h.gcov.overview.html b/html/bayesnet/ensembles/Ensemble.h.gcov.overview.html
deleted file mode 100644
index 494a8f3..0000000
--- a/html/bayesnet/ensembles/Ensemble.h.gcov.overview.html
+++ /dev/null
@@ -1,34 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/Ensemble.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Ensemble.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Ensemble.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Ensemble.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Ensemble.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Ensemble.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Ensemble.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Ensemble.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Ensemble.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Ensemble.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Ensemble.h.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Ensemble.h.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Ensemble.h.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Ensemble.h.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Ensemble.h.gcov.html#L41" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Ensemble.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Ensemble.h.gcov.png" width=80 height=52 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/ensembles/Ensemble.h.gcov.png b/html/bayesnet/ensembles/Ensemble.h.gcov.png
deleted file mode 100644
index ade558642b87c9418ccc47436414358f255c8b3a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 386
zcmeAS@N?(olHy`uVBq!ia0vp^0YGfZ!VDx;*b2*mlth3}i0l9V|5pLQ^7pZ^ul_SI
ztOAOIsdL_&mjc<G1s;*b3=DinK$vl=HlH*D1EYYai(`mK=i1QQf`=7&4oe^4I?0y!
z|E`xIzdh&ERsAY&Pdc4Y<K(;~wXji;QGa7h@_%KnB$cCTGm>P!>K~bUJeTMGe-*yj
zw~s8X@6Jd|5#%=#>?*yz!O>Nz$Mb{fU%uB*cgIY=wq&)!^FL4Y=T+_2DS7lj>D{l#
z3y<vFGBy1pvr728jp43$RWy^&8u?Drx;ZH;GOWRFqDAF|8P$?M7!A#&%Yu*g)o$uz
z+x6#*QS^;j=JWKfefL^o`&Hn>u_b3XfB8=Ix!HSZ*OwEItqZ+39?kuJ?Ol&y)~C?5
zZh_O6Y*kXpewpm5DL(D_tm_&_fAtnWiku@-Z@l+{`XuLP8chjKM*KJ4slUwS?znrs
e{07I;N6Z3@MGikc=qv&T7=x#)pUXO@geCx1rlunR

diff --git a/html/bayesnet/ensembles/index-detail-sort-f.html b/html/bayesnet/ensembles/index-detail-sort-f.html
deleted file mode 100644
index dc31de1..0000000
--- a/html/bayesnet/ensembles/index-detail-sort-f.html
+++ /dev/null
@@ -1,222 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/ensembles</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.1&nbsp;%</td>
-            <td class="headerCovTableEntry">468</td>
-            <td class="headerCovTableEntry">464</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">54</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.h.gcov.frameset.html">A2DE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.h.gcov.frameset.html">AODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.h.gcov.frameset.html">AODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.h.gcov.frameset.html">BoostAODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.h.gcov.frameset.html">Ensemble.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.cc.gcov.frameset.html">A2DE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.cc.gcov.frameset.html">AODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.cc.gcov.frameset.html">AODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.cc.gcov.frameset.html">BoostAODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.3%"><img src="../../snow.png" width=2 height=10 alt="98.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.3&nbsp;%</td>
-              <td class="coverNumDflt">237</td>
-              <td class="coverNumDflt">233</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">9</td>
-              <td class="coverNumDflt">9</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.cc.gcov.frameset.html">Ensemble.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/index-detail-sort-l.html b/html/bayesnet/ensembles/index-detail-sort-l.html
deleted file mode 100644
index 3871cd2..0000000
--- a/html/bayesnet/ensembles/index-detail-sort-l.html
+++ /dev/null
@@ -1,222 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/ensembles</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.1&nbsp;%</td>
-            <td class="headerCovTableEntry">468</td>
-            <td class="headerCovTableEntry">464</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">54</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.cc.gcov.frameset.html">BoostAODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.3%"><img src="../../snow.png" width=2 height=10 alt="98.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.3&nbsp;%</td>
-              <td class="coverNumDflt">237</td>
-              <td class="coverNumDflt">233</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">9</td>
-              <td class="coverNumDflt">9</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.h.gcov.frameset.html">A2DE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.h.gcov.frameset.html">AODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.h.gcov.frameset.html">AODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.h.gcov.frameset.html">BoostAODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.h.gcov.frameset.html">Ensemble.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.cc.gcov.frameset.html">AODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.cc.gcov.frameset.html">A2DE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.cc.gcov.frameset.html">AODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.cc.gcov.frameset.html">Ensemble.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/index-detail.html b/html/bayesnet/ensembles/index-detail.html
deleted file mode 100644
index 2f18267..0000000
--- a/html/bayesnet/ensembles/index-detail.html
+++ /dev/null
@@ -1,222 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/ensembles</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.1&nbsp;%</td>
-            <td class="headerCovTableEntry">468</td>
-            <td class="headerCovTableEntry">464</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">54</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.cc.gcov.frameset.html">A2DE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.h.gcov.frameset.html">A2DE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.cc.gcov.frameset.html">AODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.h.gcov.frameset.html">AODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.cc.gcov.frameset.html">AODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.h.gcov.frameset.html">AODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.cc.gcov.frameset.html">BoostAODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.3%"><img src="../../snow.png" width=2 height=10 alt="98.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.3&nbsp;%</td>
-              <td class="coverNumDflt">237</td>
-              <td class="coverNumDflt">233</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">9</td>
-              <td class="coverNumDflt">9</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.h.gcov.frameset.html">BoostAODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.cc.gcov.frameset.html">Ensemble.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.h.gcov.frameset.html">Ensemble.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/index-sort-f.html b/html/bayesnet/ensembles/index-sort-f.html
deleted file mode 100644
index dc31de1..0000000
--- a/html/bayesnet/ensembles/index-sort-f.html
+++ /dev/null
@@ -1,222 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/ensembles</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.1&nbsp;%</td>
-            <td class="headerCovTableEntry">468</td>
-            <td class="headerCovTableEntry">464</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">54</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.h.gcov.frameset.html">A2DE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.h.gcov.frameset.html">AODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.h.gcov.frameset.html">AODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.h.gcov.frameset.html">BoostAODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.h.gcov.frameset.html">Ensemble.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.cc.gcov.frameset.html">A2DE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.cc.gcov.frameset.html">AODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.cc.gcov.frameset.html">AODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.cc.gcov.frameset.html">BoostAODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.3%"><img src="../../snow.png" width=2 height=10 alt="98.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.3&nbsp;%</td>
-              <td class="coverNumDflt">237</td>
-              <td class="coverNumDflt">233</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">9</td>
-              <td class="coverNumDflt">9</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.cc.gcov.frameset.html">Ensemble.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/index-sort-l.html b/html/bayesnet/ensembles/index-sort-l.html
deleted file mode 100644
index 3871cd2..0000000
--- a/html/bayesnet/ensembles/index-sort-l.html
+++ /dev/null
@@ -1,222 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/ensembles</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.1&nbsp;%</td>
-            <td class="headerCovTableEntry">468</td>
-            <td class="headerCovTableEntry">464</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">54</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.cc.gcov.frameset.html">BoostAODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.3%"><img src="../../snow.png" width=2 height=10 alt="98.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.3&nbsp;%</td>
-              <td class="coverNumDflt">237</td>
-              <td class="coverNumDflt">233</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">9</td>
-              <td class="coverNumDflt">9</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.h.gcov.frameset.html">A2DE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.h.gcov.frameset.html">AODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.h.gcov.frameset.html">AODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.h.gcov.frameset.html">BoostAODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.h.gcov.frameset.html">Ensemble.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.cc.gcov.frameset.html">AODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.cc.gcov.frameset.html">A2DE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.cc.gcov.frameset.html">AODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.cc.gcov.frameset.html">Ensemble.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/ensembles/index.html b/html/bayesnet/ensembles/index.html
deleted file mode 100644
index 2f18267..0000000
--- a/html/bayesnet/ensembles/index.html
+++ /dev/null
@@ -1,222 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/ensembles</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/ensembles</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.1&nbsp;%</td>
-            <td class="headerCovTableEntry">468</td>
-            <td class="headerCovTableEntry">464</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">54</td>
-            <td class="headerCovTableEntry">54</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.cc.gcov.frameset.html">A2DE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverNumDflt">23</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="A2DE.h.gcov.frameset.html">A2DE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.cc.gcov.frameset.html">AODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODE.h.gcov.frameset.html">AODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.cc.gcov.frameset.html">AODELd.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverNumDflt">24</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="AODELd.h.gcov.frameset.html">AODELd.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.cc.gcov.frameset.html">BoostAODE.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.3%"><img src="../../snow.png" width=2 height=10 alt="98.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.3&nbsp;%</td>
-              <td class="coverNumDflt">237</td>
-              <td class="coverNumDflt">233</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">9</td>
-              <td class="coverNumDflt">9</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BoostAODE.h.gcov.frameset.html">BoostAODE.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.cc.gcov.frameset.html">Ensemble.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverNumDflt">155</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Ensemble.h.gcov.frameset.html">Ensemble.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverNumDflt">5</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">3</td>
-              <td class="coverNumDflt">3</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.cc.func-c.html b/html/bayesnet/feature_selection/CFS.cc.func-c.html
deleted file mode 100644
index f592051..0000000
--- a/html/bayesnet/feature_selection/CFS.cc.func-c.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - CFS.cc<span style="font-size: 80%;"> (<a href="CFS.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.8&nbsp;%</td>
-            <td class="headerCovTableEntry">45</td>
-            <td class="headerCovTableEntry">44</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="CFS.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.cc.gcov.html#L9">bayesnet::CFS::fit()</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.cc.gcov.html#L43">bayesnet::CFS::computeContinueCondition(std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">220</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.cc.func.html b/html/bayesnet/feature_selection/CFS.cc.func.html
deleted file mode 100644
index 08a008e..0000000
--- a/html/bayesnet/feature_selection/CFS.cc.func.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - CFS.cc<span style="font-size: 80%;"> (<a href="CFS.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.8&nbsp;%</td>
-            <td class="headerCovTableEntry">45</td>
-            <td class="headerCovTableEntry">44</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="CFS.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.cc.gcov.html#L43">bayesnet::CFS::computeContinueCondition(std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">220</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.cc.gcov.html#L9">bayesnet::CFS::fit()</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.cc.gcov.frameset.html b/html/bayesnet/feature_selection/CFS.cc.gcov.frameset.html
deleted file mode 100644
index 588ad50..0000000
--- a/html/bayesnet/feature_selection/CFS.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="CFS.cc.gcov.overview.html" name="overview">
-          <frame src="CFS.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/CFS.cc.gcov.html b/html/bayesnet/feature_selection/CFS.cc.gcov.html
deleted file mode 100644
index 8b25468..0000000
--- a/html/bayesnet/feature_selection/CFS.cc.gcov.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - CFS.cc<span style="font-size: 80%;"> (source / <a href="CFS.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.8&nbsp;%</td>
-            <td class="headerCovTableEntry">45</td>
-            <td class="headerCovTableEntry">44</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;limits&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;CFS.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : namespace bayesnet {</span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">          48 :     void CFS::fit()</span></span>
-<span id="L12"><span class="lineNum">      12</span>              :     {</span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">          48 :         initialize();</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">          48 :         computeSuLabels();</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          48 :         auto featureOrder = argsort(suLabels); // sort descending order</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">          48 :         auto continueCondition = true;</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          48 :         auto feature = featureOrder[0];</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          48 :         selectedFeatures.push_back(feature);</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          48 :         selectedScores.push_back(suLabels[feature]);</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">          48 :         featureOrder.erase(featureOrder.begin());</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">         268 :         while (continueCondition) {</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">         220 :             double merit = std::numeric_limits&lt;double&gt;::lowest();</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">         220 :             int bestFeature = -1;</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">        1250 :             for (auto feature : featureOrder) {</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">        1030 :                 selectedFeatures.push_back(feature);</span></span>
-<span id="L26"><span class="lineNum">      26</span>              :                 // Compute merit with selectedFeatures</span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">        1030 :                 auto meritNew = computeMeritCFS();</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">        1030 :                 if (meritNew &gt; merit) {</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">         450 :                     merit = meritNew;</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">         450 :                     bestFeature = feature;</span></span>
-<span id="L31"><span class="lineNum">      31</span>              :                 }</span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">        1030 :                 selectedFeatures.pop_back();</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :             }</span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">         220 :             if (bestFeature == -1) {</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :                 // meritNew has to be nan due to constant features</span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaUNC tlaBgUNC">           0 :                 break;</span></span>
-<span id="L37"><span class="lineNum">      37</span>              :             }</span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC tlaBgGNC">         220 :             selectedFeatures.push_back(bestFeature);</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         220 :             selectedScores.push_back(merit);</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">         220 :             featureOrder.erase(remove(featureOrder.begin(), featureOrder.end(), bestFeature), featureOrder.end());</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">         220 :             continueCondition = computeContinueCondition(featureOrder);</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :         }</span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">          48 :         fitted = true;</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">          48 :     }</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">         220 :     bool CFS::computeContinueCondition(const std::vector&lt;int&gt;&amp; featureOrder)</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :     {</span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">         220 :         if (selectedFeatures.size() == maxFeatures || featureOrder.size() == 0) {</span></span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">          10 :             return false;</span></span>
-<span id="L49"><span class="lineNum">      49</span>              :         }</span>
-<span id="L50"><span class="lineNum">      50</span> <span class="tlaGNC">         210 :         if (selectedScores.size() &gt;= 5) {</span></span>
-<span id="L51"><span class="lineNum">      51</span>              :             /*</span>
-<span id="L52"><span class="lineNum">      52</span>              :             &quot;To prevent the best first search from exploring the entire</span>
-<span id="L53"><span class="lineNum">      53</span>              :             feature subset search space, a stopping criterion is imposed.</span>
-<span id="L54"><span class="lineNum">      54</span>              :             The search will terminate if five consecutive fully expanded</span>
-<span id="L55"><span class="lineNum">      55</span>              :             subsets show no improvement over the current best subset.&quot;</span>
-<span id="L56"><span class="lineNum">      56</span>              :             as stated in Mark A.Hall Thesis</span>
-<span id="L57"><span class="lineNum">      57</span>              :             */</span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">          76 :             double item_ant = std::numeric_limits&lt;double&gt;::lowest();</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">          76 :             int num = 0;</span></span>
-<span id="L60"><span class="lineNum">      60</span> <span class="tlaGNC">          76 :             std::vector&lt;double&gt; lastFive(selectedScores.end() - 5, selectedScores.end());</span></span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">         304 :             for (auto item : lastFive) {</span></span>
-<span id="L62"><span class="lineNum">      62</span> <span class="tlaGNC">         266 :                 if (item_ant == std::numeric_limits&lt;double&gt;::lowest()) {</span></span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">          76 :                     item_ant = item;</span></span>
-<span id="L64"><span class="lineNum">      64</span>              :                 }</span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">         266 :                 if (item &gt; item_ant) {</span></span>
-<span id="L66"><span class="lineNum">      66</span> <span class="tlaGNC">          38 :                     break;</span></span>
-<span id="L67"><span class="lineNum">      67</span>              :                 } else {</span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">         228 :                     num++;</span></span>
-<span id="L69"><span class="lineNum">      69</span> <span class="tlaGNC">         228 :                     item_ant = item;</span></span>
-<span id="L70"><span class="lineNum">      70</span>              :                 }</span>
-<span id="L71"><span class="lineNum">      71</span>              :             }</span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">          76 :             if (num == 5) {</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">          38 :                 return false;</span></span>
-<span id="L74"><span class="lineNum">      74</span>              :             }</span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">          76 :         }</span></span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">         172 :         return true;</span></span>
-<span id="L77"><span class="lineNum">      77</span>              :     }</span>
-<span id="L78"><span class="lineNum">      78</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.cc.gcov.overview.html b/html/bayesnet/feature_selection/CFS.cc.gcov.overview.html
deleted file mode 100644
index dd09ca9..0000000
--- a/html/bayesnet/feature_selection/CFS.cc.gcov.overview.html
+++ /dev/null
@@ -1,40 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="CFS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="CFS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="CFS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="CFS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="CFS.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="CFS.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="CFS.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="CFS.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="CFS.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="CFS.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="CFS.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="CFS.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="CFS.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="CFS.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="CFS.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="CFS.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="CFS.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="CFS.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="CFS.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="CFS.cc.gcov.html#L65" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="CFS.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="CFS.cc.gcov.png" width=80 height=77 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/CFS.cc.gcov.png b/html/bayesnet/feature_selection/CFS.cc.gcov.png
deleted file mode 100644
index c4f8398ccddb23303f3d917403ceabb0a6303591..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 539
zcmV+$0_6RPP)<h;3K|Lk000e1NJLTq002+`002$|0{{R3MdOTh0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<SsYygZ
zR7i=fmhH8}AP7L?26lzA0j|&yUiV++B?<~w!1R<K(WY0vRLJp24_^)v1*Z1M=QHz*
zJb_s(UW(F~`}zR%eB2g}!L~VpQkIJt+%jErmICnkECtFb_;lq217d)e&RC@YPl-Wj
zI<YSSWY@`*0xtjzy#fTLm(FS*9cK;j6E?xwK7k`#G}3vrq11SKI19}TA}7+?9|59B
z`KJR1Pqw12AdsIUFiRs8wcDm?;H_RK=onMhw~kwZ-L?lt7s5!73C0(UcZTl5IYMN*
zrtw0t4Ta7WgD;Zz`~C8Sz&{tN;3{V4Q23Ao^6?(C2^6PC;9cWRJ>%<YmJ$JO*GEyJ
zy1+EKU2&yKq+fvY6{<?%>AsmBP?ne1kWI%LseiSmpKH5I51L$$q+28PxkN+azL)3D
zOIZIi^XEgJdV71D`v27=FHk);4Nb}G@*7_ca%a}(R_75fDBKxwXC{@%N2KUt-}=Y0
zsLU02<s>MunYXXb7ljmD7bnv@8qreqwZ`8?-6Z^aJVsZruHS4rDgpNz(yc-o)X^Jd
dZzC~P{sBRYiLRJHW%d97002ovPDHLkV1nqN@4o;5

diff --git a/html/bayesnet/feature_selection/CFS.h.func-c.html b/html/bayesnet/feature_selection/CFS.h.func-c.html
deleted file mode 100644
index 88141b1..0000000
--- a/html/bayesnet/feature_selection/CFS.h.func-c.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - CFS.h<span style="font-size: 80%;"> (<a href="CFS.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="CFS.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.h.gcov.html#L14">bayesnet::CFS::CFS(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">29</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.h.gcov.html#L18">bayesnet::CFS::~CFS()</a></td>
-              
-              <td class="coverFnHi">116</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.h.func.html b/html/bayesnet/feature_selection/CFS.h.func.html
deleted file mode 100644
index 25055ab..0000000
--- a/html/bayesnet/feature_selection/CFS.h.func.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - CFS.h<span style="font-size: 80%;"> (<a href="CFS.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="CFS.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.h.gcov.html#L14">bayesnet::CFS::CFS(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">29</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="CFS.h.gcov.html#L18">bayesnet::CFS::~CFS()</a></td>
-              
-              <td class="coverFnHi">116</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.h.gcov.frameset.html b/html/bayesnet/feature_selection/CFS.h.gcov.frameset.html
deleted file mode 100644
index ee18ddb..0000000
--- a/html/bayesnet/feature_selection/CFS.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="CFS.h.gcov.overview.html" name="overview">
-          <frame src="CFS.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/CFS.h.gcov.html b/html/bayesnet/feature_selection/CFS.h.gcov.html
deleted file mode 100644
index dcc0e27..0000000
--- a/html/bayesnet/feature_selection/CFS.h.gcov.html
+++ /dev/null
@@ -1,110 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - CFS.h<span style="font-size: 80%;"> (source / <a href="CFS.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef CFS_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define CFS_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;vector&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/feature_selection/FeatureSelect.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class CFS : public FeatureSelect {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC tlaBgGNC">          29 :         CFS(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights) :</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          29 :             FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights)</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         {</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          29 :         }</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">         116 :         virtual ~CFS() {};</span></span>
-<span id="L21"><span class="lineNum">      21</span>              :         void fit() override;</span>
-<span id="L22"><span class="lineNum">      22</span>              :     private:</span>
-<span id="L23"><span class="lineNum">      23</span>              :         bool computeContinueCondition(const std::vector&lt;int&gt;&amp; featureOrder);</span>
-<span id="L24"><span class="lineNum">      24</span>              :     };</span>
-<span id="L25"><span class="lineNum">      25</span>              : }</span>
-<span id="L26"><span class="lineNum">      26</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/CFS.h.gcov.overview.html b/html/bayesnet/feature_selection/CFS.h.gcov.overview.html
deleted file mode 100644
index 3eec86d..0000000
--- a/html/bayesnet/feature_selection/CFS.h.gcov.overview.html
+++ /dev/null
@@ -1,27 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/CFS.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="CFS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="CFS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="CFS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="CFS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="CFS.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="CFS.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="CFS.h.gcov.html#L13" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="CFS.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="CFS.h.gcov.png" width=80 height=25 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/CFS.h.gcov.png b/html/bayesnet/feature_selection/CFS.h.gcov.png
deleted file mode 100644
index 7278b3e79d72bf74e141dc0236a79f1bdaba5672..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 266
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIp!VDxY{W&%TNJ#|vgt-3y|9=$_EPo#x`|3Xf
z!z!RSm^$aZc`1<1S>O>_%)r2R1cVu<YV%101!s7=IEGmC&YgHsut9;x`6XK+>kWo)
z_kC3w8knxud=ZGhEMwX(lRa|{pNQCzuA)Xpm&<=vofF(z&%DlP)zOO2o%;_+1+(Va
zMjwx>Xv*YX<RN)qa{I?E&cYiOOrIXJ?xcjJxjM&lNomnVH49|UKQ*3G&#7{2g3i93
z3NPNq-9KP+tkw2K(G=DbcQfu6-Z4AIY&dszS+$$=2bN+D^RLAmnPNaUGI+ZBxvX<a
GXaWF<$7TNj

diff --git a/html/bayesnet/feature_selection/FCBF.cc.func-c.html b/html/bayesnet/feature_selection/FCBF.cc.func-c.html
deleted file mode 100644
index b87959a..0000000
--- a/html/bayesnet/feature_selection/FCBF.cc.func-c.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FCBF.cc<span style="font-size: 80%;"> (<a href="FCBF.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">26</td>
-            <td class="headerCovTableEntry">26</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="FCBF.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FCBF.cc.gcov.html#L16">bayesnet::FCBF::fit()</a></td>
-              
-              <td class="coverFnHi">56</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FCBF.cc.gcov.html#L9">bayesnet::FCBF::FCBF(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;, double)</a></td>
-              
-              <td class="coverFnHi">76</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FCBF.cc.func.html b/html/bayesnet/feature_selection/FCBF.cc.func.html
deleted file mode 100644
index 268b9d7..0000000
--- a/html/bayesnet/feature_selection/FCBF.cc.func.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FCBF.cc<span style="font-size: 80%;"> (<a href="FCBF.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">26</td>
-            <td class="headerCovTableEntry">26</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="FCBF.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FCBF.cc.gcov.html#L9">bayesnet::FCBF::FCBF(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;, double)</a></td>
-              
-              <td class="coverFnHi">76</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FCBF.cc.gcov.html#L16">bayesnet::FCBF::fit()</a></td>
-              
-              <td class="coverFnHi">56</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FCBF.cc.gcov.frameset.html b/html/bayesnet/feature_selection/FCBF.cc.gcov.frameset.html
deleted file mode 100644
index 4878c98..0000000
--- a/html/bayesnet/feature_selection/FCBF.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="FCBF.cc.gcov.overview.html" name="overview">
-          <frame src="FCBF.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/FCBF.cc.gcov.html b/html/bayesnet/feature_selection/FCBF.cc.gcov.html
deleted file mode 100644
index 8d88c3f..0000000
--- a/html/bayesnet/feature_selection/FCBF.cc.gcov.html
+++ /dev/null
@@ -1,134 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FCBF.cc<span style="font-size: 80%;"> (source / <a href="FCBF.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">26</td>
-            <td class="headerCovTableEntry">26</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;FCBF.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">          76 :     FCBF::FCBF(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights, const double threshold) :</span></span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">          76 :         FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)</span></span>
-<span id="L13"><span class="lineNum">      13</span>              :     {</span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">          76 :         if (threshold &lt; 1e-7) {</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          20 :             throw std::invalid_argument(&quot;Threshold cannot be less than 1e-7&quot;);</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         }</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          76 :     }</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          56 :     void FCBF::fit()</span></span>
-<span id="L19"><span class="lineNum">      19</span>              :     {</span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">          56 :         initialize();</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">          56 :         computeSuLabels();</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          56 :         auto featureOrder = argsort(suLabels); // sort descending order</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          56 :         auto featureOrderCopy = featureOrder;</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">         419 :         for (const auto&amp; feature : featureOrder) {</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :             // Don't self compare</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">         372 :             featureOrderCopy.erase(featureOrderCopy.begin());</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">         372 :             if (suLabels.at(feature) == 0.0) {</span></span>
-<span id="L28"><span class="lineNum">      28</span>              :                 // The feature has been removed from the list</span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">         153 :                 continue;</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :             }</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">         219 :             if (suLabels.at(feature) &lt; threshold) {</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">           5 :                 break;</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :             }</span>
-<span id="L34"><span class="lineNum">      34</span>              :             // Remove redundant features</span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">        1220 :             for (const auto&amp; featureCopy : featureOrderCopy) {</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">        1006 :                 double value = computeSuFeatures(feature, featureCopy);</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">        1006 :                 if (value &gt;= suLabels.at(featureCopy)) {</span></span>
-<span id="L38"><span class="lineNum">      38</span>              :                     // Remove feature from list</span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         333 :                     suLabels[featureCopy] = 0.0;</span></span>
-<span id="L40"><span class="lineNum">      40</span>              :                 }</span>
-<span id="L41"><span class="lineNum">      41</span>              :             }</span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">         214 :             selectedFeatures.push_back(feature);</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">         214 :             selectedScores.push_back(suLabels[feature]);</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">         214 :             if (selectedFeatures.size() == maxFeatures) {</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">           4 :                 break;</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :             }</span>
-<span id="L47"><span class="lineNum">      47</span>              :         }</span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">          56 :         fitted = true;</span></span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">          56 :     }</span></span>
-<span id="L50"><span class="lineNum">      50</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FCBF.cc.gcov.overview.html b/html/bayesnet/feature_selection/FCBF.cc.gcov.overview.html
deleted file mode 100644
index daa8e3d..0000000
--- a/html/bayesnet/feature_selection/FCBF.cc.gcov.overview.html
+++ /dev/null
@@ -1,33 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="FCBF.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="FCBF.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="FCBF.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="FCBF.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="FCBF.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="FCBF.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="FCBF.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="FCBF.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="FCBF.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="FCBF.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="FCBF.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="FCBF.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="FCBF.cc.gcov.html#L37" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="FCBF.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="FCBF.cc.gcov.png" width=80 height=49 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/FCBF.cc.gcov.png b/html/bayesnet/feature_selection/FCBF.cc.gcov.png
deleted file mode 100644
index 1a469dc7b3b25dd5cdec47ae6fae1ab771ad5f9f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 397
zcmV;80doF{P)<h;3K|Lk000e1NJLTq002+`001%s0{{R3IRin@0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<S8%ab#
zR7i=fl#30-AP9za1G|E3fcx)uRZwUJwaJlOuW3Hv=ON*W*V+Qx1B~=Y_cQem=>;Zr
z*tCboG|q3pmBwQmIcNnd&=;q`R*LvpjAJ<$HlRP`cPPrB+@PSHhH*gn8^nBK<dIxp
z{Vl;79Lvj~euMhGx*_l+_!o^mv;TSQbzC2K7JLtqN|YJ_N`r6$1)XIOh%yJjXTSof
ziLDE6N~49g;RLGbYk7Dc8`>mx1^jA&o02oQZ=<D=$Jo=j8K3jeyapn#f#mKb4y>9e
zZPfMD8bKpGIiqU2;O*AwduV3eQEtkVodzW&&b1ogu0Wjoc8vyi9-Ywk*jk{j3yw=^
rCG+2*ILJBll~S9$3w^lF&aj++;z;fA(iR;V00000NkvXXu0mjf@>H#(

diff --git a/html/bayesnet/feature_selection/FCBF.h.func-c.html b/html/bayesnet/feature_selection/FCBF.h.func-c.html
deleted file mode 100644
index 6966211..0000000
--- a/html/bayesnet/feature_selection/FCBF.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FCBF.h<span style="font-size: 80%;"> (<a href="FCBF.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="FCBF.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FCBF.h.gcov.html#L15">bayesnet::FCBF::~FCBF()</a></td>
-              
-              <td class="coverFnHi">56</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FCBF.h.func.html b/html/bayesnet/feature_selection/FCBF.h.func.html
deleted file mode 100644
index 137b177..0000000
--- a/html/bayesnet/feature_selection/FCBF.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FCBF.h<span style="font-size: 80%;"> (<a href="FCBF.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="FCBF.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FCBF.h.gcov.html#L15">bayesnet::FCBF::~FCBF()</a></td>
-              
-              <td class="coverFnHi">56</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FCBF.h.gcov.frameset.html b/html/bayesnet/feature_selection/FCBF.h.gcov.frameset.html
deleted file mode 100644
index f36d486..0000000
--- a/html/bayesnet/feature_selection/FCBF.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="FCBF.h.gcov.overview.html" name="overview">
-          <frame src="FCBF.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/FCBF.h.gcov.html b/html/bayesnet/feature_selection/FCBF.h.gcov.html
deleted file mode 100644
index 19d3186..0000000
--- a/html/bayesnet/feature_selection/FCBF.h.gcov.html
+++ /dev/null
@@ -1,107 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FCBF.h<span style="font-size: 80%;"> (source / <a href="FCBF.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef FCBF_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define FCBF_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;vector&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/feature_selection/FeatureSelect.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class FCBF : public FeatureSelect {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
-<span id="L16"><span class="lineNum">      16</span>              :         FCBF(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights, const double threshold);</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">          56 :         virtual ~FCBF() {};</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         void fit() override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :     private:</span>
-<span id="L20"><span class="lineNum">      20</span>              :         double threshold = -1;</span>
-<span id="L21"><span class="lineNum">      21</span>              :     };</span>
-<span id="L22"><span class="lineNum">      22</span>              : }</span>
-<span id="L23"><span class="lineNum">      23</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FCBF.h.gcov.overview.html b/html/bayesnet/feature_selection/FCBF.h.gcov.overview.html
deleted file mode 100644
index dab5a4c..0000000
--- a/html/bayesnet/feature_selection/FCBF.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FCBF.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="FCBF.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="FCBF.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="FCBF.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="FCBF.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="FCBF.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="FCBF.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="FCBF.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="FCBF.h.gcov.png" width=80 height=22 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/FCBF.h.gcov.png b/html/bayesnet/feature_selection/FCBF.h.gcov.png
deleted file mode 100644
index 971e62c40ce7e1f59eb7ce89fbc7591af6049be2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 254
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIy!VDzylCF9IDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwBV2`JZV~EDYsgpVd8x(k0JlWm3Z!o^x
zZ~jxB)h2(6WGQF&k%*1YXH4RpVx!QrLjMDUp-)`est&XN%r=&n62H_n`%Y&1emgc~
zPP6$8KSz$!3|&`(H{XafXcFz6#PnoQ)1$dp4=4Y*WOMx4i;(wPkDWrUF2B7ym#bo_
t_g98ztvAnJxi{@G&nB7Q+`QTq%*+~cj|;W=)Pe3|@O1TaS?83{1ORZ;U_<}_

diff --git a/html/bayesnet/feature_selection/FeatureSelect.cc.func-c.html b/html/bayesnet/feature_selection/FeatureSelect.cc.func-c.html
deleted file mode 100644
index 4320859..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.cc.func-c.html
+++ /dev/null
@@ -1,139 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FeatureSelect.cc<span style="font-size: 80%;"> (<a href="FeatureSelect.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">44</td>
-            <td class="headerCovTableEntry">44</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">8</td>
-            <td class="headerCovTableEntry">8</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="FeatureSelect.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L34">bayesnet::FeatureSelect::computeSuLabels()</a></td>
-              
-              <td class="coverFnHi">151</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L14">bayesnet::FeatureSelect::initialize()</a></td>
-              
-              <td class="coverFnHi">151</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L75">bayesnet::FeatureSelect::getScores() const</a></td>
-              
-              <td class="coverFnHi">156</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L68">bayesnet::FeatureSelect::getFeatures() const</a></td>
-              
-              <td class="coverFnHi">171</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L9">bayesnet::FeatureSelect::FeatureSelect(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">221</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L55">bayesnet::FeatureSelect::computeMeritCFS()</a></td>
-              
-              <td class="coverFnHi">1239</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L19">bayesnet::FeatureSelect::symmetricalUncertainty(int, int)</a></td>
-              
-              <td class="coverFnHi">3728</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L42">bayesnet::FeatureSelect::computeSuFeatures(int, int)</a></td>
-              
-              <td class="coverFnHi">7921</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.cc.func.html b/html/bayesnet/feature_selection/FeatureSelect.cc.func.html
deleted file mode 100644
index 679b2f0..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.cc.func.html
+++ /dev/null
@@ -1,139 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FeatureSelect.cc<span style="font-size: 80%;"> (<a href="FeatureSelect.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">44</td>
-            <td class="headerCovTableEntry">44</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">8</td>
-            <td class="headerCovTableEntry">8</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="FeatureSelect.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L9">bayesnet::FeatureSelect::FeatureSelect(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">221</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L55">bayesnet::FeatureSelect::computeMeritCFS()</a></td>
-              
-              <td class="coverFnHi">1239</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L42">bayesnet::FeatureSelect::computeSuFeatures(int, int)</a></td>
-              
-              <td class="coverFnHi">7921</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L34">bayesnet::FeatureSelect::computeSuLabels()</a></td>
-              
-              <td class="coverFnHi">151</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L68">bayesnet::FeatureSelect::getFeatures() const</a></td>
-              
-              <td class="coverFnHi">171</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L75">bayesnet::FeatureSelect::getScores() const</a></td>
-              
-              <td class="coverFnHi">156</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L14">bayesnet::FeatureSelect::initialize()</a></td>
-              
-              <td class="coverFnHi">151</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L19">bayesnet::FeatureSelect::symmetricalUncertainty(int, int)</a></td>
-              
-              <td class="coverFnHi">3728</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.frameset.html b/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.frameset.html
deleted file mode 100644
index 50030eb..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="FeatureSelect.cc.gcov.overview.html" name="overview">
-          <frame src="FeatureSelect.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.html b/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.html
deleted file mode 100644
index 66b3f08..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.html
+++ /dev/null
@@ -1,168 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FeatureSelect.cc<span style="font-size: 80%;"> (source / <a href="FeatureSelect.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">44</td>
-            <td class="headerCovTableEntry">44</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">8</td>
-            <td class="headerCovTableEntry">8</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;limits&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;FeatureSelect.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : namespace bayesnet {</span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">         221 :     FeatureSelect::FeatureSelect(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights) :</span></span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">         221 :         Metrics(samples, features, className, classNumStates), maxFeatures(maxFeatures == 0 ? samples.size(0) - 1 : maxFeatures), weights(weights)</span></span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span>              :     {</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">         221 :     }</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">         151 :     void FeatureSelect::initialize()</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :     {</span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">         151 :         selectedFeatures.clear();</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">         151 :         selectedScores.clear();</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">         151 :     }</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">        3728 :     double FeatureSelect::symmetricalUncertainty(int a, int b)</span></span>
-<span id="L22"><span class="lineNum">      22</span>              :     {</span>
-<span id="L23"><span class="lineNum">      23</span>              :         /*</span>
-<span id="L24"><span class="lineNum">      24</span>              :         Compute symmetrical uncertainty. Normalize* information gain (mutual</span>
-<span id="L25"><span class="lineNum">      25</span>              :         information) with the entropies of the features in order to compensate</span>
-<span id="L26"><span class="lineNum">      26</span>              :         the bias due to high cardinality features. *Range [0, 1]</span>
-<span id="L27"><span class="lineNum">      27</span>              :         (https://www.sciencedirect.com/science/article/pii/S0020025519303603)</span>
-<span id="L28"><span class="lineNum">      28</span>              :         */</span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">       11184 :         auto x = samples.index({ a, &quot;...&quot; });</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">       11184 :         auto y = samples.index({ b, &quot;...&quot; });</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">        3728 :         auto mu = mutualInformation(x, y, weights);</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">        3728 :         auto hx = entropy(x, weights);</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">        3728 :         auto hy = entropy(y, weights);</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">        3728 :         return 2.0 * mu / (hx + hy);</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">       11184 :     }</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">         151 :     void FeatureSelect::computeSuLabels()</span></span>
-<span id="L37"><span class="lineNum">      37</span>              :     {</span>
-<span id="L38"><span class="lineNum">      38</span>              :         // Compute Simmetrical Uncertainty between features and labels</span>
-<span id="L39"><span class="lineNum">      39</span>              :         // https://en.wikipedia.org/wiki/Symmetric_uncertainty</span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">        1258 :         for (int i = 0; i &lt; features.size(); ++i) {</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">        1107 :             suLabels.push_back(symmetricalUncertainty(i, -1));</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :         }</span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">         151 :     }</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">        7921 :     double FeatureSelect::computeSuFeatures(const int firstFeature, const int secondFeature)</span></span>
-<span id="L45"><span class="lineNum">      45</span>              :     {</span>
-<span id="L46"><span class="lineNum">      46</span>              :         // Compute Simmetrical Uncertainty between features</span>
-<span id="L47"><span class="lineNum">      47</span>              :         // https://en.wikipedia.org/wiki/Symmetric_uncertainty</span>
-<span id="L48"><span class="lineNum">      48</span>              :         try {</span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">        7921 :             return suFeatures.at({ firstFeature, secondFeature });</span></span>
-<span id="L50"><span class="lineNum">      50</span>              :         }</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">        2621 :         catch (const std::out_of_range&amp; e) {</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">        2621 :             double result = symmetricalUncertainty(firstFeature, secondFeature);</span></span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">        2621 :             suFeatures[{firstFeature, secondFeature}] = result;</span></span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">        2621 :             return result;</span></span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">        2621 :         }</span></span>
-<span id="L56"><span class="lineNum">      56</span>              :     }</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">        1239 :     double FeatureSelect::computeMeritCFS()</span></span>
-<span id="L58"><span class="lineNum">      58</span>              :     {</span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">        1239 :         double rcf = 0;</span></span>
-<span id="L60"><span class="lineNum">      60</span> <span class="tlaGNC">        5693 :         for (auto feature : selectedFeatures) {</span></span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">        4454 :             rcf += suLabels[feature];</span></span>
-<span id="L62"><span class="lineNum">      62</span>              :         }</span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">        1239 :         double rff = 0;</span></span>
-<span id="L64"><span class="lineNum">      64</span> <span class="tlaGNC">        1239 :         int n = selectedFeatures.size();</span></span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">        8154 :         for (const auto&amp; item : doCombinations(selectedFeatures)) {</span></span>
-<span id="L66"><span class="lineNum">      66</span> <span class="tlaGNC">        6915 :             rff += computeSuFeatures(item.first, item.second);</span></span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">        1239 :         }</span></span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">        1239 :         return rcf / sqrt(n + (n * n - n) * rff);</span></span>
-<span id="L69"><span class="lineNum">      69</span>              :     }</span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">         171 :     std::vector&lt;int&gt; FeatureSelect::getFeatures() const</span></span>
-<span id="L71"><span class="lineNum">      71</span>              :     {</span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">         171 :         if (!fitted) {</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">          20 :             throw std::runtime_error(&quot;FeatureSelect not fitted&quot;);</span></span>
-<span id="L74"><span class="lineNum">      74</span>              :         }</span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">         151 :         return selectedFeatures;</span></span>
-<span id="L76"><span class="lineNum">      76</span>              :     }</span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">         156 :     std::vector&lt;double&gt; FeatureSelect::getScores() const</span></span>
-<span id="L78"><span class="lineNum">      78</span>              :     {</span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">         156 :         if (!fitted) {</span></span>
-<span id="L80"><span class="lineNum">      80</span> <span class="tlaGNC">          20 :             throw std::runtime_error(&quot;FeatureSelect not fitted&quot;);</span></span>
-<span id="L81"><span class="lineNum">      81</span>              :         }</span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">         136 :         return selectedScores;</span></span>
-<span id="L83"><span class="lineNum">      83</span>              :     }</span>
-<span id="L84"><span class="lineNum">      84</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.overview.html b/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.overview.html
deleted file mode 100644
index 4498404..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.overview.html
+++ /dev/null
@@ -1,41 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="FeatureSelect.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="FeatureSelect.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="FeatureSelect.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="FeatureSelect.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="FeatureSelect.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="FeatureSelect.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="FeatureSelect.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="FeatureSelect.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="FeatureSelect.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="FeatureSelect.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="FeatureSelect.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="FeatureSelect.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="FeatureSelect.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="FeatureSelect.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="FeatureSelect.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="FeatureSelect.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="FeatureSelect.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="FeatureSelect.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="FeatureSelect.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="FeatureSelect.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="FeatureSelect.cc.gcov.html#L69" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="FeatureSelect.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="FeatureSelect.cc.gcov.png" width=80 height=83 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.png b/html/bayesnet/feature_selection/FeatureSelect.cc.gcov.png
deleted file mode 100644
index e61c0b74e391fca1a86922ecdd7ce340e12aeee1..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 516
zcmV+f0{i`mP)<h;3K|Lk000e1NJLTq002+`002}30{{R3=dP`Y0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<Sl1W5C
zR7i={R@=42AP8JLAT2B%kp6pHBceilU~+#hdrlsk0c99SK1Vp__Q|Gzfe#RmAb)@X
zLgU;u6%mU60yx{F+a!nang-Zf*GU0a5ff)&vGn(QT0=fjzUJEqtWYcmGEN!jvAFn>
z7}+EFB3?Tz8%Z_<x+7|WMs5~348NC*$ws)Q$oqqcNf<uLlY*dhn8>dD6RQ5?G4NA}
zmm!~z0F6@FFMvomNK41xO}ul<!f_?Tl|jVHUZn3%**1_!mE>M^1H_>qcYzUs7x=;t
zYW<>T`s&@3SvXXg%RQKhJ(;?ugp_JS)QlYJ5#E_-!m0*((s|#mBr}rLbp92Owp~3u
zau+(LZs8FtdFu3l$15JS9MOpbpe)^X*r|7Nc4{r?<VM|ygLc_Y=8Y&izS}RPGyv8>
zVp1xPwqq(i)D&hMaiiAmJ?bh?li}}?yDTKFPBKb0?~+MGVj4nsk~T%5v|Qv%2Dl>%
z{wP}mr4P;8>IL?Io=N#KaGM^pP1Mo<BRw;qGa2VM^XCVS^^PHlzt4;S0000<MNUMn
GLSTXh;NX7%

diff --git a/html/bayesnet/feature_selection/FeatureSelect.h.func-c.html b/html/bayesnet/feature_selection/FeatureSelect.h.func-c.html
deleted file mode 100644
index ae09db8..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FeatureSelect.h<span style="font-size: 80%;"> (<a href="FeatureSelect.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="FeatureSelect.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.h.gcov.html#L15">bayesnet::FeatureSelect::~FeatureSelect()</a></td>
-              
-              <td class="coverFnHi">111</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.h.func.html b/html/bayesnet/feature_selection/FeatureSelect.h.func.html
deleted file mode 100644
index b72ffbf..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FeatureSelect.h<span style="font-size: 80%;"> (<a href="FeatureSelect.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="FeatureSelect.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="FeatureSelect.h.gcov.html#L15">bayesnet::FeatureSelect::~FeatureSelect()</a></td>
-              
-              <td class="coverFnHi">111</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.frameset.html b/html/bayesnet/feature_selection/FeatureSelect.h.gcov.frameset.html
deleted file mode 100644
index 3302cc5..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="FeatureSelect.h.gcov.overview.html" name="overview">
-          <frame src="FeatureSelect.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.html b/html/bayesnet/feature_selection/FeatureSelect.h.gcov.html
deleted file mode 100644
index a01bdf7..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.html
+++ /dev/null
@@ -1,120 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - FeatureSelect.h<span style="font-size: 80%;"> (source / <a href="FeatureSelect.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef FEATURE_SELECT_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define FEATURE_SELECT_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;vector&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/utils/BayesMetrics.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class FeatureSelect : public Metrics {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
-<span id="L16"><span class="lineNum">      16</span>              :         FeatureSelect(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights);</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">         111 :         virtual ~FeatureSelect() {};</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         virtual void fit() = 0;</span>
-<span id="L19"><span class="lineNum">      19</span>              :         std::vector&lt;int&gt; getFeatures() const;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         std::vector&lt;double&gt; getScores() const;</span>
-<span id="L21"><span class="lineNum">      21</span>              :     protected:</span>
-<span id="L22"><span class="lineNum">      22</span>              :         void initialize();</span>
-<span id="L23"><span class="lineNum">      23</span>              :         void computeSuLabels();</span>
-<span id="L24"><span class="lineNum">      24</span>              :         double computeSuFeatures(const int a, const int b);</span>
-<span id="L25"><span class="lineNum">      25</span>              :         double symmetricalUncertainty(int a, int b);</span>
-<span id="L26"><span class="lineNum">      26</span>              :         double computeMeritCFS();</span>
-<span id="L27"><span class="lineNum">      27</span>              :         const torch::Tensor&amp; weights;</span>
-<span id="L28"><span class="lineNum">      28</span>              :         int maxFeatures;</span>
-<span id="L29"><span class="lineNum">      29</span>              :         std::vector&lt;int&gt; selectedFeatures;</span>
-<span id="L30"><span class="lineNum">      30</span>              :         std::vector&lt;double&gt; selectedScores;</span>
-<span id="L31"><span class="lineNum">      31</span>              :         std::vector&lt;double&gt; suLabels;</span>
-<span id="L32"><span class="lineNum">      32</span>              :         std::map&lt;std::pair&lt;int, int&gt;, double&gt; suFeatures;</span>
-<span id="L33"><span class="lineNum">      33</span>              :         bool fitted = false;</span>
-<span id="L34"><span class="lineNum">      34</span>              :     };</span>
-<span id="L35"><span class="lineNum">      35</span>              : }</span>
-<span id="L36"><span class="lineNum">      36</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.overview.html b/html/bayesnet/feature_selection/FeatureSelect.h.gcov.overview.html
deleted file mode 100644
index 3a8b201..0000000
--- a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.overview.html
+++ /dev/null
@@ -1,29 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/FeatureSelect.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="FeatureSelect.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="FeatureSelect.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="FeatureSelect.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="FeatureSelect.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="FeatureSelect.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="FeatureSelect.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="FeatureSelect.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="FeatureSelect.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="FeatureSelect.h.gcov.html#L21" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="FeatureSelect.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="FeatureSelect.h.gcov.png" width=80 height=35 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/FeatureSelect.h.gcov.png b/html/bayesnet/feature_selection/FeatureSelect.h.gcov.png
deleted file mode 100644
index da3566ccda6cf51de07d5f26fef01004fe4307cc..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 316
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$6!VDze^epfMQW60^A+G=b|6c_J%iqVwzWUF=
zunH&+rp|e9UJ7J$7I;J!GcfQS0b$0e+I-SL!Bd_tjv*GkQ$soh4=8Y4<}GO5<#@M#
z`>&#o29xWXuS*#um@Ju*)6&^1ah##F<twv<pvQ&|UFC#7tr?jm%%$<B{}dMahzIJ2
zpUCivIP3Runo)u&gYj;m$AUXn*!p_kC_Z$>cFFbgX3bU?C2z1@dJy&?IMA!|w2NLp
zhtrv_C)fL|cG*>OWO|V7<rS4b+Fut0nt!}j^{o3wHQyo5M{G^Urk1F@zm@ZzN9jk`
zGwa3fGVd;i-S3>{c1yBox~$@1gYUo3%yF$aANnEc4fDDSx&hyJJpKgq6@#a%pUXO@
GgeCxY^Mx<~

diff --git a/html/bayesnet/feature_selection/IWSS.cc.func-c.html b/html/bayesnet/feature_selection/IWSS.cc.func-c.html
deleted file mode 100644
index 45a4ce3..0000000
--- a/html/bayesnet/feature_selection/IWSS.cc.func-c.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - IWSS.cc<span style="font-size: 80%;"> (<a href="IWSS.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">96.7&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">29</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="IWSS.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="IWSS.cc.gcov.html#L16">bayesnet::IWSS::fit()</a></td>
-              
-              <td class="coverFnHi">47</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="IWSS.cc.gcov.html#L9">bayesnet::IWSS::IWSS(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;, double)</a></td>
-              
-              <td class="coverFnHi">87</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/IWSS.cc.func.html b/html/bayesnet/feature_selection/IWSS.cc.func.html
deleted file mode 100644
index 54a0e67..0000000
--- a/html/bayesnet/feature_selection/IWSS.cc.func.html
+++ /dev/null
@@ -1,97 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - IWSS.cc<span style="font-size: 80%;"> (<a href="IWSS.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">96.7&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">29</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="IWSS.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="IWSS.cc.gcov.html#L9">bayesnet::IWSS::IWSS(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int, int, at::Tensor const&amp;, double)</a></td>
-              
-              <td class="coverFnHi">87</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="IWSS.cc.gcov.html#L16">bayesnet::IWSS::fit()</a></td>
-              
-              <td class="coverFnHi">47</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/IWSS.cc.gcov.frameset.html b/html/bayesnet/feature_selection/IWSS.cc.gcov.frameset.html
deleted file mode 100644
index 4d69b9c..0000000
--- a/html/bayesnet/feature_selection/IWSS.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="IWSS.cc.gcov.overview.html" name="overview">
-          <frame src="IWSS.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/IWSS.cc.gcov.html b/html/bayesnet/feature_selection/IWSS.cc.gcov.html
deleted file mode 100644
index b53a393..0000000
--- a/html/bayesnet/feature_selection/IWSS.cc.gcov.html
+++ /dev/null
@@ -1,137 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - IWSS.cc<span style="font-size: 80%;"> (source / <a href="IWSS.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">96.7&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">29</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">2</td>
-            <td class="headerCovTableEntry">2</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;limits&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &quot;IWSS.h&quot;</span>
-<span id="L10"><span class="lineNum">      10</span>              : namespace bayesnet {</span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">          87 :     IWSS::IWSS(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights, const double threshold) :</span></span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">          87 :         FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)</span></span>
-<span id="L13"><span class="lineNum">      13</span>              :     {</span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">          87 :         if (threshold &lt; 0 || threshold &gt; .5) {</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">          40 :             throw std::invalid_argument(&quot;Threshold has to be in [0, 0.5]&quot;);</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         }</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">          87 :     }</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">          47 :     void IWSS::fit()</span></span>
-<span id="L19"><span class="lineNum">      19</span>              :     {</span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">          47 :         initialize();</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">          47 :         computeSuLabels();</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          47 :         auto featureOrder = argsort(suLabels); // sort descending order</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          47 :         auto featureOrderCopy = featureOrder;</span></span>
-<span id="L24"><span class="lineNum">      24</span>              :         // Add first and second features to result</span>
-<span id="L25"><span class="lineNum">      25</span>              :         //     First with its own score</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          47 :         auto first_feature = pop_first(featureOrderCopy);</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">          47 :         selectedFeatures.push_back(first_feature);</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">          47 :         selectedScores.push_back(suLabels.at(first_feature));</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :         //     Second with the score of the candidates</span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">          47 :         selectedFeatures.push_back(pop_first(featureOrderCopy));</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">          47 :         auto merit = computeMeritCFS();</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">          47 :         selectedScores.push_back(merit);</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">         162 :         for (const auto feature : featureOrderCopy) {</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">         162 :             selectedFeatures.push_back(feature);</span></span>
-<span id="L35"><span class="lineNum">      35</span>              :             // Compute merit with selectedFeatures</span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">         162 :             auto meritNew = computeMeritCFS();</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">         162 :             double delta = merit != 0.0 ? std::abs(merit - meritNew) / merit : 0.0;</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">         162 :             if (meritNew &gt; merit || delta &lt; threshold) {</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         117 :                 if (meritNew &gt; merit) {</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaUNC tlaBgUNC">           0 :                     merit = meritNew;</span></span>
-<span id="L41"><span class="lineNum">      41</span>              :                 }</span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC tlaBgGNC">         117 :                 selectedScores.push_back(meritNew);</span></span>
-<span id="L43"><span class="lineNum">      43</span>              :             } else {</span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">          45 :                 selectedFeatures.pop_back();</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">          47 :                 break;</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :             }</span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">         117 :             if (selectedFeatures.size() == maxFeatures) {</span></span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">           2 :                 break;</span></span>
-<span id="L49"><span class="lineNum">      49</span>              :             }</span>
-<span id="L50"><span class="lineNum">      50</span>              :         }</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">          47 :         fitted = true;</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">          47 :     }</span></span>
-<span id="L53"><span class="lineNum">      53</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/IWSS.cc.gcov.overview.html b/html/bayesnet/feature_selection/IWSS.cc.gcov.overview.html
deleted file mode 100644
index 276b9c5..0000000
--- a/html/bayesnet/feature_selection/IWSS.cc.gcov.overview.html
+++ /dev/null
@@ -1,34 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="IWSS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="IWSS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="IWSS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="IWSS.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="IWSS.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="IWSS.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="IWSS.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="IWSS.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="IWSS.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="IWSS.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="IWSS.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="IWSS.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="IWSS.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="IWSS.cc.gcov.html#L41" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="IWSS.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="IWSS.cc.gcov.png" width=80 height=52 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/IWSS.cc.gcov.png b/html/bayesnet/feature_selection/IWSS.cc.gcov.png
deleted file mode 100644
index 38463bcafe93a34d0973d454a8f8e7f96d7a0bfb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 431
zcmV;g0Z{&lP)<h;3K|Lk000e1NJLTq002+`001=v0{{R3BnEMJ0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<SJxN4C
zR7i=nm4^|-APhy#26zRufmk6U*!!;%un?k%;=AOhUi|nf$mBT9IoFX?frj2}c(?q6
zZ9rQrR#iFLynX@Ba@-czFpk-PrPM{Q9G{+<1?Zel0{X!89eg410Th&J$P0uIAi5oq
zBUvCOL-3%3F*y20fyVfZ7chZ4!QbS_mHp0<`#4`vH+&6JmMA?6eaRby9Vlp@2Jg%>
z1;8VLeHt`s$6@F;jgP@-R-vJqttx?b%tX`nbixL7j_RPIFpbh1N1>${DMZ~%)o~2Q
zoPcII?;>IkYFVm|>GlG)9rls;rkEZ*$0u|uJa&<J;JY`x%Fqll35sKhqTa_()_q^s
z9dvy(Wl+CdfI0MdaLOFfE9a61wvKaf$8mkER1N1c@_F#z&{4}jBRK$`O<slGJV^I2
Z=e{Hw6s7_dPon?;002ovPDHLkV1n+)x9$J{

diff --git a/html/bayesnet/feature_selection/IWSS.h.func-c.html b/html/bayesnet/feature_selection/IWSS.h.func-c.html
deleted file mode 100644
index 06cb3e9..0000000
--- a/html/bayesnet/feature_selection/IWSS.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - IWSS.h<span style="font-size: 80%;"> (<a href="IWSS.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="IWSS.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="IWSS.h.gcov.html#L15">bayesnet::IWSS::~IWSS()</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/IWSS.h.func.html b/html/bayesnet/feature_selection/IWSS.h.func.html
deleted file mode 100644
index d0ed2a5..0000000
--- a/html/bayesnet/feature_selection/IWSS.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - IWSS.h<span style="font-size: 80%;"> (<a href="IWSS.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="IWSS.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="IWSS.h.gcov.html#L15">bayesnet::IWSS::~IWSS()</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/IWSS.h.gcov.frameset.html b/html/bayesnet/feature_selection/IWSS.h.gcov.frameset.html
deleted file mode 100644
index 949a657..0000000
--- a/html/bayesnet/feature_selection/IWSS.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="IWSS.h.gcov.overview.html" name="overview">
-          <frame src="IWSS.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/feature_selection/IWSS.h.gcov.html b/html/bayesnet/feature_selection/IWSS.h.gcov.html
deleted file mode 100644
index a31c3e2..0000000
--- a/html/bayesnet/feature_selection/IWSS.h.gcov.html
+++ /dev/null
@@ -1,107 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/feature_selection</a> - IWSS.h<span style="font-size: 80%;"> (source / <a href="IWSS.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef IWSS_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define IWSS_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;vector&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;FeatureSelect.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class IWSS : public FeatureSelect {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
-<span id="L16"><span class="lineNum">      16</span>              :         IWSS(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; weights, const double threshold);</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">          48 :         virtual ~IWSS() {};</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :         void fit() override;</span>
-<span id="L19"><span class="lineNum">      19</span>              :     private:</span>
-<span id="L20"><span class="lineNum">      20</span>              :         double threshold = -1;</span>
-<span id="L21"><span class="lineNum">      21</span>              :     };</span>
-<span id="L22"><span class="lineNum">      22</span>              : }</span>
-<span id="L23"><span class="lineNum">      23</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/IWSS.h.gcov.overview.html b/html/bayesnet/feature_selection/IWSS.h.gcov.overview.html
deleted file mode 100644
index c38ee9d..0000000
--- a/html/bayesnet/feature_selection/IWSS.h.gcov.overview.html
+++ /dev/null
@@ -1,26 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection/IWSS.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="IWSS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="IWSS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="IWSS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="IWSS.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="IWSS.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="IWSS.h.gcov.html#L9" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="IWSS.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="IWSS.h.gcov.png" width=80 height=22 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/feature_selection/IWSS.h.gcov.png b/html/bayesnet/feature_selection/IWSS.h.gcov.png
deleted file mode 100644
index d7f9b0a8bc0de5ec0916110c264ea6ce818cbcf5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 255
zcmeAS@N?(olHy`uVBq!ia0vp^0YEIy!VDzylCF9IDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwBV6Uf(V~EDYsgt;c8WcEKpR%3TzQOzC
zU-@bIe`*tF6fKJ?RGg!}zCC+mLx}hi(N9d$9hslgbtEr-k9RnGQATX<{e+7);Ts#n
z-%EygW^Pk&PG#zRvc7UoiSAU6S*n~XJUP$qUbX!ApQY934jZm84Aonb@GRn;MBl{&
u%VW-PMeuJEQ{L=bbvpOv8r_nxgW?L7vfu8T&AI|~7=x#)pUXO@geCxt3t`a!

diff --git a/html/bayesnet/feature_selection/index-detail-sort-f.html b/html/bayesnet/feature_selection/index-detail-sort-f.html
deleted file mode 100644
index d0145d5..0000000
--- a/html/bayesnet/feature_selection/index-detail-sort-f.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/feature_selection</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.7&nbsp;%</td>
-            <td class="headerCovTableEntry">152</td>
-            <td class="headerCovTableEntry">150</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">19</td>
-            <td class="headerCovTableEntry">19</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.h.gcov.frameset.html">FCBF.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.h.gcov.frameset.html">FeatureSelect.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.h.gcov.frameset.html">IWSS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.cc.gcov.frameset.html">CFS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.8%"><img src="../../snow.png" width=2 height=10 alt="97.8%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.8&nbsp;%</td>
-              <td class="coverNumDflt">45</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.h.gcov.frameset.html">CFS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.cc.gcov.frameset.html">FCBF.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.cc.gcov.frameset.html">IWSS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=97 height=10 alt="96.7%"><img src="../../snow.png" width=3 height=10 alt="96.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.7&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">29</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.cc.gcov.frameset.html">FeatureSelect.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/index-detail-sort-l.html b/html/bayesnet/feature_selection/index-detail-sort-l.html
deleted file mode 100644
index c644fe0..0000000
--- a/html/bayesnet/feature_selection/index-detail-sort-l.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/feature_selection</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.7&nbsp;%</td>
-            <td class="headerCovTableEntry">152</td>
-            <td class="headerCovTableEntry">150</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">19</td>
-            <td class="headerCovTableEntry">19</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.cc.gcov.frameset.html">IWSS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=97 height=10 alt="96.7%"><img src="../../snow.png" width=3 height=10 alt="96.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.7&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">29</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.cc.gcov.frameset.html">CFS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.8%"><img src="../../snow.png" width=2 height=10 alt="97.8%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.8&nbsp;%</td>
-              <td class="coverNumDflt">45</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.h.gcov.frameset.html">FCBF.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.h.gcov.frameset.html">FeatureSelect.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.h.gcov.frameset.html">IWSS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.h.gcov.frameset.html">CFS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.cc.gcov.frameset.html">FCBF.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.cc.gcov.frameset.html">FeatureSelect.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/index-detail.html b/html/bayesnet/feature_selection/index-detail.html
deleted file mode 100644
index 5e03de6..0000000
--- a/html/bayesnet/feature_selection/index-detail.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/feature_selection</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.7&nbsp;%</td>
-            <td class="headerCovTableEntry">152</td>
-            <td class="headerCovTableEntry">150</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">19</td>
-            <td class="headerCovTableEntry">19</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.cc.gcov.frameset.html">CFS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.8%"><img src="../../snow.png" width=2 height=10 alt="97.8%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.8&nbsp;%</td>
-              <td class="coverNumDflt">45</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.h.gcov.frameset.html">CFS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.cc.gcov.frameset.html">FCBF.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.h.gcov.frameset.html">FCBF.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.cc.gcov.frameset.html">FeatureSelect.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.h.gcov.frameset.html">FeatureSelect.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.cc.gcov.frameset.html">IWSS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=97 height=10 alt="96.7%"><img src="../../snow.png" width=3 height=10 alt="96.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.7&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">29</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.h.gcov.frameset.html">IWSS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/index-sort-f.html b/html/bayesnet/feature_selection/index-sort-f.html
deleted file mode 100644
index d0145d5..0000000
--- a/html/bayesnet/feature_selection/index-sort-f.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/feature_selection</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.7&nbsp;%</td>
-            <td class="headerCovTableEntry">152</td>
-            <td class="headerCovTableEntry">150</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">19</td>
-            <td class="headerCovTableEntry">19</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.h.gcov.frameset.html">FCBF.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.h.gcov.frameset.html">FeatureSelect.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.h.gcov.frameset.html">IWSS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.cc.gcov.frameset.html">CFS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.8%"><img src="../../snow.png" width=2 height=10 alt="97.8%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.8&nbsp;%</td>
-              <td class="coverNumDflt">45</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.h.gcov.frameset.html">CFS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.cc.gcov.frameset.html">FCBF.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.cc.gcov.frameset.html">IWSS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=97 height=10 alt="96.7%"><img src="../../snow.png" width=3 height=10 alt="96.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.7&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">29</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.cc.gcov.frameset.html">FeatureSelect.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/index-sort-l.html b/html/bayesnet/feature_selection/index-sort-l.html
deleted file mode 100644
index c644fe0..0000000
--- a/html/bayesnet/feature_selection/index-sort-l.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/feature_selection</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.7&nbsp;%</td>
-            <td class="headerCovTableEntry">152</td>
-            <td class="headerCovTableEntry">150</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">19</td>
-            <td class="headerCovTableEntry">19</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.cc.gcov.frameset.html">IWSS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=97 height=10 alt="96.7%"><img src="../../snow.png" width=3 height=10 alt="96.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.7&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">29</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.cc.gcov.frameset.html">CFS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.8%"><img src="../../snow.png" width=2 height=10 alt="97.8%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.8&nbsp;%</td>
-              <td class="coverNumDflt">45</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.h.gcov.frameset.html">FCBF.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.h.gcov.frameset.html">FeatureSelect.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.h.gcov.frameset.html">IWSS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.h.gcov.frameset.html">CFS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.cc.gcov.frameset.html">FCBF.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.cc.gcov.frameset.html">FeatureSelect.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/feature_selection/index.html b/html/bayesnet/feature_selection/index.html
deleted file mode 100644
index 5e03de6..0000000
--- a/html/bayesnet/feature_selection/index.html
+++ /dev/null
@@ -1,198 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/feature_selection</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/feature_selection</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.7&nbsp;%</td>
-            <td class="headerCovTableEntry">152</td>
-            <td class="headerCovTableEntry">150</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">19</td>
-            <td class="headerCovTableEntry">19</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.cc.gcov.frameset.html">CFS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.8%"><img src="../../snow.png" width=2 height=10 alt="97.8%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.8&nbsp;%</td>
-              <td class="coverNumDflt">45</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="CFS.h.gcov.frameset.html">CFS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.cc.gcov.frameset.html">FCBF.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverNumDflt">26</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FCBF.h.gcov.frameset.html">FCBF.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.cc.gcov.frameset.html">FeatureSelect.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverNumDflt">44</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">8</td>
-              <td class="coverNumDflt">8</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="FeatureSelect.h.gcov.frameset.html">FeatureSelect.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.cc.gcov.frameset.html">IWSS.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=97 height=10 alt="96.7%"><img src="../../snow.png" width=3 height=10 alt="96.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">96.7&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">29</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">2</td>
-              <td class="coverNumDflt">2</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="IWSS.h.gcov.frameset.html">IWSS.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/index-detail-sort-f.html b/html/bayesnet/index-detail-sort-f.html
deleted file mode 100644
index 5fba070..0000000
--- a/html/bayesnet/index-detail-sort-f.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html">top level</a> - bayesnet</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BaseClassifier.h.gcov.frameset.html">BaseClassifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/index-detail-sort-l.html b/html/bayesnet/index-detail-sort-l.html
deleted file mode 100644
index 9283a50..0000000
--- a/html/bayesnet/index-detail-sort-l.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html">top level</a> - bayesnet</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BaseClassifier.h.gcov.frameset.html">BaseClassifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/index-detail.html b/html/bayesnet/index-detail.html
deleted file mode 100644
index c4bf771..0000000
--- a/html/bayesnet/index-detail.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html">top level</a> - bayesnet</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BaseClassifier.h.gcov.frameset.html">BaseClassifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/index-sort-f.html b/html/bayesnet/index-sort-f.html
deleted file mode 100644
index 5fba070..0000000
--- a/html/bayesnet/index-sort-f.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html">top level</a> - bayesnet</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BaseClassifier.h.gcov.frameset.html">BaseClassifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/index-sort-l.html b/html/bayesnet/index-sort-l.html
deleted file mode 100644
index 9283a50..0000000
--- a/html/bayesnet/index-sort-l.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html">top level</a> - bayesnet</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BaseClassifier.h.gcov.frameset.html">BaseClassifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/index.html b/html/bayesnet/index.html
deleted file mode 100644
index c4bf771..0000000
--- a/html/bayesnet/index.html
+++ /dev/null
@@ -1,114 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet</title>
-  <link rel="stylesheet" type="text/css" href="../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../index.html">top level</a> - bayesnet</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BaseClassifier.h.gcov.frameset.html">BaseClassifier.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.cc.func-c.html b/html/bayesnet/network/Network.cc.func-c.html
deleted file mode 100644
index 82785c8..0000000
--- a/html/bayesnet/network/Network.cc.func-c.html
+++ /dev/null
@@ -1,363 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Network.cc<span style="font-size: 80%;"> (<a href="Network.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">295</td>
-            <td class="headerCovTableEntry">295</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">40</td>
-            <td class="headerCovTableEntry">40</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Network.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L156">bayesnet::Network::fit(at::Tensor const&amp;, at::Tensor const&amp;, at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L14">bayesnet::Network::Network(float)</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L418">bayesnet::Network::dump_cpt[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L273">bayesnet::Network::score(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L342">bayesnet::Network::show[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L40">bayesnet::Network::getSamples()</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L65">bayesnet::Network::getStates() const</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L235">bayesnet::Network::predict(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L175">bayesnet::Network::fit(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;, std::vector&lt;double, std::allocator&lt;double&gt; &gt; const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L355">bayesnet::Network::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">112</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L385">bayesnet::Network::topological_sort[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">220</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L381">bayesnet::Network::getNumEdges() const</a></td>
-              
-              <td class="coverFnHi">364</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L57">bayesnet::Network::getFeatures[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">380</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L369">bayesnet::Network::getEdges[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">408</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L257">bayesnet::Network::predict_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">552</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L222">bayesnet::Network::predict_proba(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1476</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L27">bayesnet::Network::initialize()</a></td>
-              
-              <td class="coverFnHi">1740</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L167">bayesnet::Network::fit(at::Tensor const&amp;, at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">1792</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L188">bayesnet::Network::completeFit(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1824</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L147">bayesnet::Network::setStates(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">1824</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L228">bayesnet::Network::predict(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1844</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L118">bayesnet::Network::checkFitData(int, int, int, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1888</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L18">bayesnet::Network::Network(bayesnet::Network const&amp;)</a></td>
-              
-              <td class="coverFnHi">2244</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L36">bayesnet::Network::getMaxThreads() const</a></td>
-              
-              <td class="coverFnHi">2256</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L11">bayesnet::Network::Network()</a></td>
-              
-              <td class="coverFnHi">2332</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L61">bayesnet::Network::getClassNumStates() const</a></td>
-              
-              <td class="coverFnHi">2616</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L203">bayesnet::Network::predict_tensor(at::Tensor const&amp;, bool)</a></td>
-              
-              <td class="coverFnHi">3320</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L44">bayesnet::Network::addNode(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">31216</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L194">bayesnet::Network::completeFit(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">32828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L150">bayesnet::Network::setStates(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)::{lambda(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)#1}::operator()(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">32828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L93">bayesnet::Network::addEdge(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">59152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L77">bayesnet::Network::isCyclic(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::unordered_set&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::hash&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::equal_to&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;, std::unordered_set&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::hash&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::equal_to&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">70324</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L285">bayesnet::Network::predict_sample(std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">114512</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L299">bayesnet::Network::predict_sample(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">781712</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L320">bayesnet::Network::exactInference(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">896208</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L312">bayesnet::Network::computeFactor(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">3734984</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L326">bayesnet::Network::exactInference(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">3734984</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L339">bayesnet::Network::exactInference(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)::{lambda(double const&amp;)#1}::operator()(double const&amp;) const</a></td>
-              
-              <td class="coverFnHi">3734984</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L73">bayesnet::Network::getClassName[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">3735008</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L114">bayesnet::Network::getNodes[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">3735276</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.cc.func.html b/html/bayesnet/network/Network.cc.func.html
deleted file mode 100644
index 7369fb0..0000000
--- a/html/bayesnet/network/Network.cc.func.html
+++ /dev/null
@@ -1,363 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Network.cc<span style="font-size: 80%;"> (<a href="Network.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">295</td>
-            <td class="headerCovTableEntry">295</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">40</td>
-            <td class="headerCovTableEntry">40</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Network.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L11">bayesnet::Network::Network()</a></td>
-              
-              <td class="coverFnHi">2332</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L18">bayesnet::Network::Network(bayesnet::Network const&amp;)</a></td>
-              
-              <td class="coverFnHi">2244</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L14">bayesnet::Network::Network(float)</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L93">bayesnet::Network::addEdge(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">59152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L44">bayesnet::Network::addNode(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">31216</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L118">bayesnet::Network::checkFitData(int, int, int, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1888</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L188">bayesnet::Network::completeFit(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1824</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L194">bayesnet::Network::completeFit(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">32828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L312">bayesnet::Network::computeFactor(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">3734984</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L418">bayesnet::Network::dump_cpt[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">8</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L320">bayesnet::Network::exactInference(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">896208</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L326">bayesnet::Network::exactInference(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)::{lambda()#1}::operator()() const</a></td>
-              
-              <td class="coverFnHi">3734984</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L339">bayesnet::Network::exactInference(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)::{lambda(double const&amp;)#1}::operator()(double const&amp;) const</a></td>
-              
-              <td class="coverFnHi">3734984</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L156">bayesnet::Network::fit(at::Tensor const&amp;, at::Tensor const&amp;, at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">4</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L167">bayesnet::Network::fit(at::Tensor const&amp;, at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">1792</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L175">bayesnet::Network::fit(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;, std::vector&lt;double, std::allocator&lt;double&gt; &gt; const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">92</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L73">bayesnet::Network::getClassName[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">3735008</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L61">bayesnet::Network::getClassNumStates() const</a></td>
-              
-              <td class="coverFnHi">2616</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L369">bayesnet::Network::getEdges[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">408</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L57">bayesnet::Network::getFeatures[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">380</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L36">bayesnet::Network::getMaxThreads() const</a></td>
-              
-              <td class="coverFnHi">2256</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L114">bayesnet::Network::getNodes[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">3735276</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L381">bayesnet::Network::getNumEdges() const</a></td>
-              
-              <td class="coverFnHi">364</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L40">bayesnet::Network::getSamples()</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L65">bayesnet::Network::getStates() const</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L355">bayesnet::Network::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">112</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L27">bayesnet::Network::initialize()</a></td>
-              
-              <td class="coverFnHi">1740</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L77">bayesnet::Network::isCyclic(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, std::unordered_set&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::hash&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::equal_to&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;, std::unordered_set&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::hash&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::equal_to&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">70324</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L228">bayesnet::Network::predict(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1844</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L235">bayesnet::Network::predict(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L222">bayesnet::Network::predict_proba(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">1476</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L257">bayesnet::Network::predict_proba(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">552</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L299">bayesnet::Network::predict_sample(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">781712</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L285">bayesnet::Network::predict_sample(std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">114512</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L203">bayesnet::Network::predict_tensor(at::Tensor const&amp;, bool)</a></td>
-              
-              <td class="coverFnHi">3320</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L273">bayesnet::Network::score(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">20</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L147">bayesnet::Network::setStates(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">1824</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L150">bayesnet::Network::setStates(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;)::{lambda(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)#1}::operator()(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">32828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L342">bayesnet::Network::show[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">28</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.cc.gcov.html#L385">bayesnet::Network::topological_sort[abi:cxx11]()</a></td>
-              
-              <td class="coverFnHi">220</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.cc.gcov.frameset.html b/html/bayesnet/network/Network.cc.gcov.frameset.html
deleted file mode 100644
index 4233619..0000000
--- a/html/bayesnet/network/Network.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Network.cc.gcov.overview.html" name="overview">
-          <frame src="Network.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/network/Network.cc.gcov.html b/html/bayesnet/network/Network.cc.gcov.html
deleted file mode 100644
index 4ebb2a5..0000000
--- a/html/bayesnet/network/Network.cc.gcov.html
+++ /dev/null
@@ -1,513 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Network.cc<span style="font-size: 80%;"> (source / <a href="Network.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">295</td>
-            <td class="headerCovTableEntry">295</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">40</td>
-            <td class="headerCovTableEntry">40</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;thread&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &lt;mutex&gt;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;sstream&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Network.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC tlaBgGNC">        2332 :     Network::Network() : fitted{ false }, maxThreads{ 0.95 }, classNumStates{ 0 }, laplaceSmoothing{ 0 }</span></span>
-<span id="L14"><span class="lineNum">      14</span>              :     {</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">        2332 :     }</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">           8 :     Network::Network(float maxT) : fitted{ false }, maxThreads{ maxT }, classNumStates{ 0 }, laplaceSmoothing{ 0 }</span></span>
-<span id="L17"><span class="lineNum">      17</span>              :     {</span>
-<span id="L18"><span class="lineNum">      18</span>              : </span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">           8 :     }</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">        2244 :     Network::Network(const Network&amp; other) : laplaceSmoothing(other.laplaceSmoothing), features(other.features), className(other.className), classNumStates(other.getClassNumStates()),</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">        4488 :         maxThreads(other.getMaxThreads()), fitted(other.fitted), samples(other.samples)</span></span>
-<span id="L22"><span class="lineNum">      22</span>              :     {</span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">        2244 :         if (samples.defined())</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">           4 :             samples = samples.clone();</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">        2264 :         for (const auto&amp; node : other.nodes) {</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">          20 :             nodes[node.first] = std::make_unique&lt;Node&gt;(*node.second);</span></span>
-<span id="L27"><span class="lineNum">      27</span>              :         }</span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">        2244 :     }</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">        1740 :     void Network::initialize()</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :     {</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">        1740 :         features.clear();</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">        1740 :         className = &quot;&quot;;</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">        1740 :         classNumStates = 0;</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">        1740 :         fitted = false;</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">        1740 :         nodes.clear();</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">        1740 :         samples = torch::Tensor();</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">        1740 :     }</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">        2256 :     float Network::getMaxThreads() const</span></span>
-<span id="L39"><span class="lineNum">      39</span>              :     {</span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">        2256 :         return maxThreads;</span></span>
-<span id="L41"><span class="lineNum">      41</span>              :     }</span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">          48 :     torch::Tensor&amp; Network::getSamples()</span></span>
-<span id="L43"><span class="lineNum">      43</span>              :     {</span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">          48 :         return samples;</span></span>
-<span id="L45"><span class="lineNum">      45</span>              :     }</span>
-<span id="L46"><span class="lineNum">      46</span> <span class="tlaGNC">       31216 :     void Network::addNode(const std::string&amp; name)</span></span>
-<span id="L47"><span class="lineNum">      47</span>              :     {</span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">       31216 :         if (name == &quot;&quot;) {</span></span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Node name cannot be empty&quot;);</span></span>
-<span id="L50"><span class="lineNum">      50</span>              :         }</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">       31208 :         if (nodes.find(name) != nodes.end()) {</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">           4 :             return;</span></span>
-<span id="L53"><span class="lineNum">      53</span>              :         }</span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">       31204 :         if (find(features.begin(), features.end(), name) == features.end()) {</span></span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">       31204 :             features.push_back(name);</span></span>
-<span id="L56"><span class="lineNum">      56</span>              :         }</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">       31204 :         nodes[name] = std::make_unique&lt;Node&gt;(name);</span></span>
-<span id="L58"><span class="lineNum">      58</span>              :     }</span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">         380 :     std::vector&lt;std::string&gt; Network::getFeatures() const</span></span>
-<span id="L60"><span class="lineNum">      60</span>              :     {</span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">         380 :         return features;</span></span>
-<span id="L62"><span class="lineNum">      62</span>              :     }</span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">        2616 :     int Network::getClassNumStates() const</span></span>
-<span id="L64"><span class="lineNum">      64</span>              :     {</span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">        2616 :         return classNumStates;</span></span>
-<span id="L66"><span class="lineNum">      66</span>              :     }</span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">          48 :     int Network::getStates() const</span></span>
-<span id="L68"><span class="lineNum">      68</span>              :     {</span>
-<span id="L69"><span class="lineNum">      69</span> <span class="tlaGNC">          48 :         int result = 0;</span></span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">         288 :         for (auto&amp; node : nodes) {</span></span>
-<span id="L71"><span class="lineNum">      71</span> <span class="tlaGNC">         240 :             result += node.second-&gt;getNumStates();</span></span>
-<span id="L72"><span class="lineNum">      72</span>              :         }</span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">          48 :         return result;</span></span>
-<span id="L74"><span class="lineNum">      74</span>              :     }</span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">     3735008 :     std::string Network::getClassName() const</span></span>
-<span id="L76"><span class="lineNum">      76</span>              :     {</span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">     3735008 :         return className;</span></span>
-<span id="L78"><span class="lineNum">      78</span>              :     }</span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">       70324 :     bool Network::isCyclic(const std::string&amp; nodeId, std::unordered_set&lt;std::string&gt;&amp; visited, std::unordered_set&lt;std::string&gt;&amp; recStack)</span></span>
-<span id="L80"><span class="lineNum">      80</span>              :     {</span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">       70324 :         if (visited.find(nodeId) == visited.end()) // if node hasn't been visited yet</span></span>
-<span id="L82"><span class="lineNum">      82</span>              :         {</span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">       70324 :             visited.insert(nodeId);</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">       70324 :             recStack.insert(nodeId);</span></span>
-<span id="L85"><span class="lineNum">      85</span> <span class="tlaGNC">       81496 :             for (Node* child : nodes[nodeId]-&gt;getChildren()) {</span></span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">       11196 :                 if (visited.find(child-&gt;getName()) == visited.end() &amp;&amp; isCyclic(child-&gt;getName(), visited, recStack))</span></span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">          24 :                     return true;</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">       11180 :                 if (recStack.find(child-&gt;getName()) != recStack.end())</span></span>
-<span id="L89"><span class="lineNum">      89</span> <span class="tlaGNC">           8 :                     return true;</span></span>
-<span id="L90"><span class="lineNum">      90</span>              :             }</span>
-<span id="L91"><span class="lineNum">      91</span>              :         }</span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">       70300 :         recStack.erase(nodeId); // remove node from recursion stack before function ends</span></span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaGNC">       70300 :         return false;</span></span>
-<span id="L94"><span class="lineNum">      94</span>              :     }</span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaGNC">       59152 :     void Network::addEdge(const std::string&amp; parent, const std::string&amp; child)</span></span>
-<span id="L96"><span class="lineNum">      96</span>              :     {</span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC">       59152 :         if (nodes.find(parent) == nodes.end()) {</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Parent node &quot; + parent + &quot; does not exist&quot;);</span></span>
-<span id="L99"><span class="lineNum">      99</span>              :         }</span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">       59144 :         if (nodes.find(child) == nodes.end()) {</span></span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Child node &quot; + child + &quot; does not exist&quot;);</span></span>
-<span id="L102"><span class="lineNum">     102</span>              :         }</span>
-<span id="L103"><span class="lineNum">     103</span>              :         // Temporarily add edge to check for cycles</span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">       59136 :         nodes[parent]-&gt;addChild(nodes[child].get());</span></span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">       59136 :         nodes[child]-&gt;addParent(nodes[parent].get());</span></span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">       59136 :         std::unordered_set&lt;std::string&gt; visited;</span></span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">       59136 :         std::unordered_set&lt;std::string&gt; recStack;</span></span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">       59136 :         if (isCyclic(nodes[child]-&gt;getName(), visited, recStack)) // if adding this edge forms a cycle</span></span>
-<span id="L109"><span class="lineNum">     109</span>              :         {</span>
-<span id="L110"><span class="lineNum">     110</span>              :             // remove problematic edge</span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">           8 :             nodes[parent]-&gt;removeChild(nodes[child].get());</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">           8 :             nodes[child]-&gt;removeParent(nodes[parent].get());</span></span>
-<span id="L113"><span class="lineNum">     113</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Adding this edge forms a cycle in the graph.&quot;);</span></span>
-<span id="L114"><span class="lineNum">     114</span>              :         }</span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">       59144 :     }</span></span>
-<span id="L116"><span class="lineNum">     116</span> <span class="tlaGNC">     3735276 :     std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt;&amp; Network::getNodes()</span></span>
-<span id="L117"><span class="lineNum">     117</span>              :     {</span>
-<span id="L118"><span class="lineNum">     118</span> <span class="tlaGNC">     3735276 :         return nodes;</span></span>
-<span id="L119"><span class="lineNum">     119</span>              :     }</span>
-<span id="L120"><span class="lineNum">     120</span> <span class="tlaGNC">        1888 :     void Network::checkFitData(int n_samples, int n_features, int n_samples_y, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights)</span></span>
-<span id="L121"><span class="lineNum">     121</span>              :     {</span>
-<span id="L122"><span class="lineNum">     122</span> <span class="tlaGNC">        1888 :         if (weights.size(0) != n_samples) {</span></span>
-<span id="L123"><span class="lineNum">     123</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Weights (&quot; + std::to_string(weights.size(0)) + &quot;) must have the same number of elements as samples (&quot; + std::to_string(n_samples) + &quot;) in Network::fit&quot;);</span></span>
-<span id="L124"><span class="lineNum">     124</span>              :         }</span>
-<span id="L125"><span class="lineNum">     125</span> <span class="tlaGNC">        1880 :         if (n_samples != n_samples_y) {</span></span>
-<span id="L126"><span class="lineNum">     126</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;X and y must have the same number of samples in Network::fit (&quot; + std::to_string(n_samples) + &quot; != &quot; + std::to_string(n_samples_y) + &quot;)&quot;);</span></span>
-<span id="L127"><span class="lineNum">     127</span>              :         }</span>
-<span id="L128"><span class="lineNum">     128</span> <span class="tlaGNC">        1872 :         if (n_features != featureNames.size()) {</span></span>
-<span id="L129"><span class="lineNum">     129</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;X and features must have the same number of features in Network::fit (&quot; + std::to_string(n_features) + &quot; != &quot; + std::to_string(featureNames.size()) + &quot;)&quot;);</span></span>
-<span id="L130"><span class="lineNum">     130</span>              :         }</span>
-<span id="L131"><span class="lineNum">     131</span> <span class="tlaGNC">        1864 :         if (features.size() == 0) {</span></span>
-<span id="L132"><span class="lineNum">     132</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;The network has not been initialized. You must call addNode() before calling fit()&quot;);</span></span>
-<span id="L133"><span class="lineNum">     133</span>              :         }</span>
-<span id="L134"><span class="lineNum">     134</span> <span class="tlaGNC">        1856 :         if (n_features != features.size() - 1) {</span></span>
-<span id="L135"><span class="lineNum">     135</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;X and local features must have the same number of features in Network::fit (&quot; + std::to_string(n_features) + &quot; != &quot; + std::to_string(features.size() - 1) + &quot;)&quot;);</span></span>
-<span id="L136"><span class="lineNum">     136</span>              :         }</span>
-<span id="L137"><span class="lineNum">     137</span> <span class="tlaGNC">        1848 :         if (find(features.begin(), features.end(), className) == features.end()) {</span></span>
-<span id="L138"><span class="lineNum">     138</span> <span class="tlaGNC">           8 :             throw std::invalid_argument(&quot;Class Name not found in Network::features&quot;);</span></span>
-<span id="L139"><span class="lineNum">     139</span>              :         }</span>
-<span id="L140"><span class="lineNum">     140</span> <span class="tlaGNC">       32868 :         for (auto&amp; feature : featureNames) {</span></span>
-<span id="L141"><span class="lineNum">     141</span> <span class="tlaGNC">       31044 :             if (find(features.begin(), features.end(), feature) == features.end()) {</span></span>
-<span id="L142"><span class="lineNum">     142</span> <span class="tlaGNC">           8 :                 throw std::invalid_argument(&quot;Feature &quot; + feature + &quot; not found in Network::features&quot;);</span></span>
-<span id="L143"><span class="lineNum">     143</span>              :             }</span>
-<span id="L144"><span class="lineNum">     144</span> <span class="tlaGNC">       31036 :             if (states.find(feature) == states.end()) {</span></span>
-<span id="L145"><span class="lineNum">     145</span> <span class="tlaGNC">           8 :                 throw std::invalid_argument(&quot;Feature &quot; + feature + &quot; not found in states&quot;);</span></span>
-<span id="L146"><span class="lineNum">     146</span>              :             }</span>
-<span id="L147"><span class="lineNum">     147</span>              :         }</span>
-<span id="L148"><span class="lineNum">     148</span> <span class="tlaGNC">        1824 :     }</span></span>
-<span id="L149"><span class="lineNum">     149</span> <span class="tlaGNC">        1824 :     void Network::setStates(const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L150"><span class="lineNum">     150</span>              :     {</span>
-<span id="L151"><span class="lineNum">     151</span>              :         // Set states to every Node in the network</span>
-<span id="L152"><span class="lineNum">     152</span> <span class="tlaGNC">        1824 :         for_each(features.begin(), features.end(), [this, &amp;states](const std::string&amp; feature) {</span></span>
-<span id="L153"><span class="lineNum">     153</span> <span class="tlaGNC">       32828 :             nodes.at(feature)-&gt;setNumStates(states.at(feature).size());</span></span>
-<span id="L154"><span class="lineNum">     154</span> <span class="tlaGNC">       32828 :             });</span></span>
-<span id="L155"><span class="lineNum">     155</span> <span class="tlaGNC">        1824 :         classNumStates = nodes.at(className)-&gt;getNumStates();</span></span>
-<span id="L156"><span class="lineNum">     156</span> <span class="tlaGNC">        1824 :     }</span></span>
-<span id="L157"><span class="lineNum">     157</span>              :     // X comes in nxm, where n is the number of features and m the number of samples</span>
-<span id="L158"><span class="lineNum">     158</span> <span class="tlaGNC">           4 :     void Network::fit(const torch::Tensor&amp; X, const torch::Tensor&amp; y, const torch::Tensor&amp; weights, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L159"><span class="lineNum">     159</span>              :     {</span>
-<span id="L160"><span class="lineNum">     160</span> <span class="tlaGNC">           4 :         checkFitData(X.size(1), X.size(0), y.size(0), featureNames, className, states, weights);</span></span>
-<span id="L161"><span class="lineNum">     161</span> <span class="tlaGNC">           4 :         this-&gt;className = className;</span></span>
-<span id="L162"><span class="lineNum">     162</span> <span class="tlaGNC">           4 :         torch::Tensor ytmp = torch::transpose(y.view({ y.size(0), 1 }), 0, 1);</span></span>
-<span id="L163"><span class="lineNum">     163</span> <span class="tlaGNC">          12 :         samples = torch::cat({ X , ytmp }, 0);</span></span>
-<span id="L164"><span class="lineNum">     164</span> <span class="tlaGNC">          20 :         for (int i = 0; i &lt; featureNames.size(); ++i) {</span></span>
-<span id="L165"><span class="lineNum">     165</span> <span class="tlaGNC">          48 :             auto row_feature = X.index({ i, &quot;...&quot; });</span></span>
-<span id="L166"><span class="lineNum">     166</span> <span class="tlaGNC">          16 :         }</span></span>
-<span id="L167"><span class="lineNum">     167</span> <span class="tlaGNC">           4 :         completeFit(states, weights);</span></span>
-<span id="L168"><span class="lineNum">     168</span> <span class="tlaGNC">          24 :     }</span></span>
-<span id="L169"><span class="lineNum">     169</span> <span class="tlaGNC">        1792 :     void Network::fit(const torch::Tensor&amp; samples, const torch::Tensor&amp; weights, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L170"><span class="lineNum">     170</span>              :     {</span>
-<span id="L171"><span class="lineNum">     171</span> <span class="tlaGNC">        1792 :         checkFitData(samples.size(1), samples.size(0) - 1, samples.size(1), featureNames, className, states, weights);</span></span>
-<span id="L172"><span class="lineNum">     172</span> <span class="tlaGNC">        1792 :         this-&gt;className = className;</span></span>
-<span id="L173"><span class="lineNum">     173</span> <span class="tlaGNC">        1792 :         this-&gt;samples = samples;</span></span>
-<span id="L174"><span class="lineNum">     174</span> <span class="tlaGNC">        1792 :         completeFit(states, weights);</span></span>
-<span id="L175"><span class="lineNum">     175</span> <span class="tlaGNC">        1792 :     }</span></span>
-<span id="L176"><span class="lineNum">     176</span>              :     // input_data comes in nxm, where n is the number of features and m the number of samples</span>
-<span id="L177"><span class="lineNum">     177</span> <span class="tlaGNC">          92 :     void Network::fit(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; input_data, const std::vector&lt;int&gt;&amp; labels, const std::vector&lt;double&gt;&amp; weights_, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
-<span id="L178"><span class="lineNum">     178</span>              :     {</span>
-<span id="L179"><span class="lineNum">     179</span> <span class="tlaGNC">          92 :         const torch::Tensor weights = torch::tensor(weights_, torch::kFloat64);</span></span>
-<span id="L180"><span class="lineNum">     180</span> <span class="tlaGNC">          92 :         checkFitData(input_data[0].size(), input_data.size(), labels.size(), featureNames, className, states, weights);</span></span>
-<span id="L181"><span class="lineNum">     181</span> <span class="tlaGNC">          28 :         this-&gt;className = className;</span></span>
-<span id="L182"><span class="lineNum">     182</span>              :         // Build tensor of samples (nxm) (n+1 because of the class)</span>
-<span id="L183"><span class="lineNum">     183</span> <span class="tlaGNC">          28 :         samples = torch::zeros({ static_cast&lt;int&gt;(input_data.size() + 1), static_cast&lt;int&gt;(input_data[0].size()) }, torch::kInt32);</span></span>
-<span id="L184"><span class="lineNum">     184</span> <span class="tlaGNC">         140 :         for (int i = 0; i &lt; featureNames.size(); ++i) {</span></span>
-<span id="L185"><span class="lineNum">     185</span> <span class="tlaGNC">         448 :             samples.index_put_({ i, &quot;...&quot; }, torch::tensor(input_data[i], torch::kInt32));</span></span>
-<span id="L186"><span class="lineNum">     186</span>              :         }</span>
-<span id="L187"><span class="lineNum">     187</span> <span class="tlaGNC">         112 :         samples.index_put_({ -1, &quot;...&quot; }, torch::tensor(labels, torch::kInt32));</span></span>
-<span id="L188"><span class="lineNum">     188</span> <span class="tlaGNC">          28 :         completeFit(states, weights);</span></span>
-<span id="L189"><span class="lineNum">     189</span> <span class="tlaGNC">         232 :     }</span></span>
-<span id="L190"><span class="lineNum">     190</span> <span class="tlaGNC">        1824 :     void Network::completeFit(const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights)</span></span>
-<span id="L191"><span class="lineNum">     191</span>              :     {</span>
-<span id="L192"><span class="lineNum">     192</span> <span class="tlaGNC">        1824 :         setStates(states);</span></span>
-<span id="L193"><span class="lineNum">     193</span> <span class="tlaGNC">        1824 :         laplaceSmoothing = 1.0 / samples.size(1); // To use in CPT computation</span></span>
-<span id="L194"><span class="lineNum">     194</span> <span class="tlaGNC">        1824 :         std::vector&lt;std::thread&gt; threads;</span></span>
-<span id="L195"><span class="lineNum">     195</span> <span class="tlaGNC">       34652 :         for (auto&amp; node : nodes) {</span></span>
-<span id="L196"><span class="lineNum">     196</span> <span class="tlaGNC">       32828 :             threads.emplace_back([this, &amp;node, &amp;weights]() {</span></span>
-<span id="L197"><span class="lineNum">     197</span> <span class="tlaGNC">       32828 :                 node.second-&gt;computeCPT(samples, features, laplaceSmoothing, weights);</span></span>
-<span id="L198"><span class="lineNum">     198</span> <span class="tlaGNC">       32828 :                 });</span></span>
-<span id="L199"><span class="lineNum">     199</span>              :         }</span>
-<span id="L200"><span class="lineNum">     200</span> <span class="tlaGNC">       34652 :         for (auto&amp; thread : threads) {</span></span>
-<span id="L201"><span class="lineNum">     201</span> <span class="tlaGNC">       32828 :             thread.join();</span></span>
-<span id="L202"><span class="lineNum">     202</span>              :         }</span>
-<span id="L203"><span class="lineNum">     203</span> <span class="tlaGNC">        1824 :         fitted = true;</span></span>
-<span id="L204"><span class="lineNum">     204</span> <span class="tlaGNC">        1824 :     }</span></span>
-<span id="L205"><span class="lineNum">     205</span> <span class="tlaGNC">        3320 :     torch::Tensor Network::predict_tensor(const torch::Tensor&amp; samples, const bool proba)</span></span>
-<span id="L206"><span class="lineNum">     206</span>              :     {</span>
-<span id="L207"><span class="lineNum">     207</span> <span class="tlaGNC">        3320 :         if (!fitted) {</span></span>
-<span id="L208"><span class="lineNum">     208</span> <span class="tlaGNC">           8 :             throw std::logic_error(&quot;You must call fit() before calling predict()&quot;);</span></span>
-<span id="L209"><span class="lineNum">     209</span>              :         }</span>
-<span id="L210"><span class="lineNum">     210</span> <span class="tlaGNC">        3312 :         torch::Tensor result;</span></span>
-<span id="L211"><span class="lineNum">     211</span> <span class="tlaGNC">        3312 :         result = torch::zeros({ samples.size(1), classNumStates }, torch::kFloat64);</span></span>
-<span id="L212"><span class="lineNum">     212</span> <span class="tlaGNC">      785016 :         for (int i = 0; i &lt; samples.size(1); ++i) {</span></span>
-<span id="L213"><span class="lineNum">     213</span> <span class="tlaGNC">     2345136 :             const torch::Tensor sample = samples.index({ &quot;...&quot;, i });</span></span>
-<span id="L214"><span class="lineNum">     214</span> <span class="tlaGNC">      781712 :             auto psample = predict_sample(sample);</span></span>
-<span id="L215"><span class="lineNum">     215</span> <span class="tlaGNC">      781704 :             auto temp = torch::tensor(psample, torch::kFloat64);</span></span>
-<span id="L216"><span class="lineNum">     216</span>              :             //            result.index_put_({ i, &quot;...&quot; }, torch::tensor(predict_sample(sample), torch::kFloat64));</span>
-<span id="L217"><span class="lineNum">     217</span> <span class="tlaGNC">     2345112 :             result.index_put_({ i, &quot;...&quot; }, temp);</span></span>
-<span id="L218"><span class="lineNum">     218</span> <span class="tlaGNC">      781712 :         }</span></span>
-<span id="L219"><span class="lineNum">     219</span> <span class="tlaGNC">        3304 :         if (proba)</span></span>
-<span id="L220"><span class="lineNum">     220</span> <span class="tlaGNC">        1476 :             return result;</span></span>
-<span id="L221"><span class="lineNum">     221</span> <span class="tlaGNC">        3656 :         return result.argmax(1);</span></span>
-<span id="L222"><span class="lineNum">     222</span> <span class="tlaGNC">     1566728 :     }</span></span>
-<span id="L223"><span class="lineNum">     223</span>              :     // Return mxn tensor of probabilities</span>
-<span id="L224"><span class="lineNum">     224</span> <span class="tlaGNC">        1476 :     torch::Tensor Network::predict_proba(const torch::Tensor&amp; samples)</span></span>
-<span id="L225"><span class="lineNum">     225</span>              :     {</span>
-<span id="L226"><span class="lineNum">     226</span> <span class="tlaGNC">        1476 :         return predict_tensor(samples, true);</span></span>
-<span id="L227"><span class="lineNum">     227</span>              :     }</span>
-<span id="L228"><span class="lineNum">     228</span>              : </span>
-<span id="L229"><span class="lineNum">     229</span>              :     // Return mxn tensor of probabilities</span>
-<span id="L230"><span class="lineNum">     230</span> <span class="tlaGNC">        1844 :     torch::Tensor Network::predict(const torch::Tensor&amp; samples)</span></span>
-<span id="L231"><span class="lineNum">     231</span>              :     {</span>
-<span id="L232"><span class="lineNum">     232</span> <span class="tlaGNC">        1844 :         return predict_tensor(samples, false);</span></span>
-<span id="L233"><span class="lineNum">     233</span>              :     }</span>
-<span id="L234"><span class="lineNum">     234</span>              : </span>
-<span id="L235"><span class="lineNum">     235</span>              :     // Return mx1 std::vector of predictions</span>
-<span id="L236"><span class="lineNum">     236</span>              :     // tsamples is nxm std::vector of samples</span>
-<span id="L237"><span class="lineNum">     237</span> <span class="tlaGNC">          48 :     std::vector&lt;int&gt; Network::predict(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples)</span></span>
-<span id="L238"><span class="lineNum">     238</span>              :     {</span>
-<span id="L239"><span class="lineNum">     239</span> <span class="tlaGNC">          48 :         if (!fitted) {</span></span>
-<span id="L240"><span class="lineNum">     240</span> <span class="tlaGNC">          16 :             throw std::logic_error(&quot;You must call fit() before calling predict()&quot;);</span></span>
-<span id="L241"><span class="lineNum">     241</span>              :         }</span>
-<span id="L242"><span class="lineNum">     242</span> <span class="tlaGNC">          32 :         std::vector&lt;int&gt; predictions;</span></span>
-<span id="L243"><span class="lineNum">     243</span> <span class="tlaGNC">          32 :         std::vector&lt;int&gt; sample;</span></span>
-<span id="L244"><span class="lineNum">     244</span> <span class="tlaGNC">        3564 :         for (int row = 0; row &lt; tsamples[0].size(); ++row) {</span></span>
-<span id="L245"><span class="lineNum">     245</span> <span class="tlaGNC">        3540 :             sample.clear();</span></span>
-<span id="L246"><span class="lineNum">     246</span> <span class="tlaGNC">       26252 :             for (int col = 0; col &lt; tsamples.size(); ++col) {</span></span>
-<span id="L247"><span class="lineNum">     247</span> <span class="tlaGNC">       22712 :                 sample.push_back(tsamples[col][row]);</span></span>
-<span id="L248"><span class="lineNum">     248</span>              :             }</span>
-<span id="L249"><span class="lineNum">     249</span> <span class="tlaGNC">        3540 :             std::vector&lt;double&gt; classProbabilities = predict_sample(sample);</span></span>
-<span id="L250"><span class="lineNum">     250</span>              :             // Find the class with the maximum posterior probability</span>
-<span id="L251"><span class="lineNum">     251</span> <span class="tlaGNC">        3532 :             auto maxElem = max_element(classProbabilities.begin(), classProbabilities.end());</span></span>
-<span id="L252"><span class="lineNum">     252</span> <span class="tlaGNC">        3532 :             int predictedClass = distance(classProbabilities.begin(), maxElem);</span></span>
-<span id="L253"><span class="lineNum">     253</span> <span class="tlaGNC">        3532 :             predictions.push_back(predictedClass);</span></span>
-<span id="L254"><span class="lineNum">     254</span> <span class="tlaGNC">        3532 :         }</span></span>
-<span id="L255"><span class="lineNum">     255</span> <span class="tlaGNC">          48 :         return predictions;</span></span>
-<span id="L256"><span class="lineNum">     256</span> <span class="tlaGNC">          40 :     }</span></span>
-<span id="L257"><span class="lineNum">     257</span>              :     // Return mxn std::vector of probabilities</span>
-<span id="L258"><span class="lineNum">     258</span>              :     // tsamples is nxm std::vector of samples</span>
-<span id="L259"><span class="lineNum">     259</span> <span class="tlaGNC">         552 :     std::vector&lt;std::vector&lt;double&gt;&gt; Network::predict_proba(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples)</span></span>
-<span id="L260"><span class="lineNum">     260</span>              :     {</span>
-<span id="L261"><span class="lineNum">     261</span> <span class="tlaGNC">         552 :         if (!fitted) {</span></span>
-<span id="L262"><span class="lineNum">     262</span> <span class="tlaGNC">           8 :             throw std::logic_error(&quot;You must call fit() before calling predict_proba()&quot;);</span></span>
-<span id="L263"><span class="lineNum">     263</span>              :         }</span>
-<span id="L264"><span class="lineNum">     264</span> <span class="tlaGNC">         544 :         std::vector&lt;std::vector&lt;double&gt;&gt; predictions;</span></span>
-<span id="L265"><span class="lineNum">     265</span> <span class="tlaGNC">         544 :         std::vector&lt;int&gt; sample;</span></span>
-<span id="L266"><span class="lineNum">     266</span> <span class="tlaGNC">      111516 :         for (int row = 0; row &lt; tsamples[0].size(); ++row) {</span></span>
-<span id="L267"><span class="lineNum">     267</span> <span class="tlaGNC">      110972 :             sample.clear();</span></span>
-<span id="L268"><span class="lineNum">     268</span> <span class="tlaGNC">     1055620 :             for (int col = 0; col &lt; tsamples.size(); ++col) {</span></span>
-<span id="L269"><span class="lineNum">     269</span> <span class="tlaGNC">      944648 :                 sample.push_back(tsamples[col][row]);</span></span>
-<span id="L270"><span class="lineNum">     270</span>              :             }</span>
-<span id="L271"><span class="lineNum">     271</span> <span class="tlaGNC">      110972 :             predictions.push_back(predict_sample(sample));</span></span>
-<span id="L272"><span class="lineNum">     272</span>              :         }</span>
-<span id="L273"><span class="lineNum">     273</span> <span class="tlaGNC">        1088 :         return predictions;</span></span>
-<span id="L274"><span class="lineNum">     274</span> <span class="tlaGNC">         544 :     }</span></span>
-<span id="L275"><span class="lineNum">     275</span> <span class="tlaGNC">          20 :     double Network::score(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; tsamples, const std::vector&lt;int&gt;&amp; labels)</span></span>
-<span id="L276"><span class="lineNum">     276</span>              :     {</span>
-<span id="L277"><span class="lineNum">     277</span> <span class="tlaGNC">          20 :         std::vector&lt;int&gt; y_pred = predict(tsamples);</span></span>
-<span id="L278"><span class="lineNum">     278</span> <span class="tlaGNC">          12 :         int correct = 0;</span></span>
-<span id="L279"><span class="lineNum">     279</span> <span class="tlaGNC">        2324 :         for (int i = 0; i &lt; y_pred.size(); ++i) {</span></span>
-<span id="L280"><span class="lineNum">     280</span> <span class="tlaGNC">        2312 :             if (y_pred[i] == labels[i]) {</span></span>
-<span id="L281"><span class="lineNum">     281</span> <span class="tlaGNC">        1944 :                 correct++;</span></span>
-<span id="L282"><span class="lineNum">     282</span>              :             }</span>
-<span id="L283"><span class="lineNum">     283</span>              :         }</span>
-<span id="L284"><span class="lineNum">     284</span> <span class="tlaGNC">          24 :         return (double)correct / y_pred.size();</span></span>
-<span id="L285"><span class="lineNum">     285</span> <span class="tlaGNC">          12 :     }</span></span>
-<span id="L286"><span class="lineNum">     286</span>              :     // Return 1xn std::vector of probabilities</span>
-<span id="L287"><span class="lineNum">     287</span> <span class="tlaGNC">      114512 :     std::vector&lt;double&gt; Network::predict_sample(const std::vector&lt;int&gt;&amp; sample)</span></span>
-<span id="L288"><span class="lineNum">     288</span>              :     {</span>
-<span id="L289"><span class="lineNum">     289</span>              :         // Ensure the sample size is equal to the number of features</span>
-<span id="L290"><span class="lineNum">     290</span> <span class="tlaGNC">      114512 :         if (sample.size() != features.size() - 1) {</span></span>
-<span id="L291"><span class="lineNum">     291</span> <span class="tlaGNC">          16 :             throw std::invalid_argument(&quot;Sample size (&quot; + std::to_string(sample.size()) +</span></span>
-<span id="L292"><span class="lineNum">     292</span> <span class="tlaGNC">          24 :                 &quot;) does not match the number of features (&quot; + std::to_string(features.size() - 1) + &quot;)&quot;);</span></span>
-<span id="L293"><span class="lineNum">     293</span>              :         }</span>
-<span id="L294"><span class="lineNum">     294</span> <span class="tlaGNC">      114504 :         std::map&lt;std::string, int&gt; evidence;</span></span>
-<span id="L295"><span class="lineNum">     295</span> <span class="tlaGNC">     1081840 :         for (int i = 0; i &lt; sample.size(); ++i) {</span></span>
-<span id="L296"><span class="lineNum">     296</span> <span class="tlaGNC">      967336 :             evidence[features[i]] = sample[i];</span></span>
-<span id="L297"><span class="lineNum">     297</span>              :         }</span>
-<span id="L298"><span class="lineNum">     298</span> <span class="tlaGNC">      229008 :         return exactInference(evidence);</span></span>
-<span id="L299"><span class="lineNum">     299</span> <span class="tlaGNC">      114504 :     }</span></span>
-<span id="L300"><span class="lineNum">     300</span>              :     // Return 1xn std::vector of probabilities</span>
-<span id="L301"><span class="lineNum">     301</span> <span class="tlaGNC">      781712 :     std::vector&lt;double&gt; Network::predict_sample(const torch::Tensor&amp; sample)</span></span>
-<span id="L302"><span class="lineNum">     302</span>              :     {</span>
-<span id="L303"><span class="lineNum">     303</span>              :         // Ensure the sample size is equal to the number of features</span>
-<span id="L304"><span class="lineNum">     304</span> <span class="tlaGNC">      781712 :         if (sample.size(0) != features.size() - 1) {</span></span>
-<span id="L305"><span class="lineNum">     305</span> <span class="tlaGNC">          16 :             throw std::invalid_argument(&quot;Sample size (&quot; + std::to_string(sample.size(0)) +</span></span>
-<span id="L306"><span class="lineNum">     306</span> <span class="tlaGNC">          24 :                 &quot;) does not match the number of features (&quot; + std::to_string(features.size() - 1) + &quot;)&quot;);</span></span>
-<span id="L307"><span class="lineNum">     307</span>              :         }</span>
-<span id="L308"><span class="lineNum">     308</span> <span class="tlaGNC">      781704 :         std::map&lt;std::string, int&gt; evidence;</span></span>
-<span id="L309"><span class="lineNum">     309</span> <span class="tlaGNC">    18085136 :         for (int i = 0; i &lt; sample.size(0); ++i) {</span></span>
-<span id="L310"><span class="lineNum">     310</span> <span class="tlaGNC">    17303432 :             evidence[features[i]] = sample[i].item&lt;int&gt;();</span></span>
-<span id="L311"><span class="lineNum">     311</span>              :         }</span>
-<span id="L312"><span class="lineNum">     312</span> <span class="tlaGNC">     1563408 :         return exactInference(evidence);</span></span>
-<span id="L313"><span class="lineNum">     313</span> <span class="tlaGNC">      781704 :     }</span></span>
-<span id="L314"><span class="lineNum">     314</span> <span class="tlaGNC">     3734984 :     double Network::computeFactor(std::map&lt;std::string, int&gt;&amp; completeEvidence)</span></span>
-<span id="L315"><span class="lineNum">     315</span>              :     {</span>
-<span id="L316"><span class="lineNum">     316</span> <span class="tlaGNC">     3734984 :         double result = 1.0;</span></span>
-<span id="L317"><span class="lineNum">     317</span> <span class="tlaGNC">    72886736 :         for (auto&amp; node : getNodes()) {</span></span>
-<span id="L318"><span class="lineNum">     318</span> <span class="tlaGNC">    69151752 :             result *= node.second-&gt;getFactorValue(completeEvidence);</span></span>
-<span id="L319"><span class="lineNum">     319</span>              :         }</span>
-<span id="L320"><span class="lineNum">     320</span> <span class="tlaGNC">     3734984 :         return result;</span></span>
-<span id="L321"><span class="lineNum">     321</span>              :     }</span>
-<span id="L322"><span class="lineNum">     322</span> <span class="tlaGNC">      896208 :     std::vector&lt;double&gt; Network::exactInference(std::map&lt;std::string, int&gt;&amp; evidence)</span></span>
-<span id="L323"><span class="lineNum">     323</span>              :     {</span>
-<span id="L324"><span class="lineNum">     324</span> <span class="tlaGNC">      896208 :         std::vector&lt;double&gt; result(classNumStates, 0.0);</span></span>
-<span id="L325"><span class="lineNum">     325</span> <span class="tlaGNC">      896208 :         std::vector&lt;std::thread&gt; threads;</span></span>
-<span id="L326"><span class="lineNum">     326</span> <span class="tlaGNC">      896208 :         std::mutex mtx;</span></span>
-<span id="L327"><span class="lineNum">     327</span> <span class="tlaGNC">     4631192 :         for (int i = 0; i &lt; classNumStates; ++i) {</span></span>
-<span id="L328"><span class="lineNum">     328</span> <span class="tlaGNC">     3734984 :             threads.emplace_back([this, &amp;result, &amp;evidence, i, &amp;mtx]() {</span></span>
-<span id="L329"><span class="lineNum">     329</span> <span class="tlaGNC">     3734984 :                 auto completeEvidence = std::map&lt;std::string, int&gt;(evidence);</span></span>
-<span id="L330"><span class="lineNum">     330</span> <span class="tlaGNC">     3734984 :                 completeEvidence[getClassName()] = i;</span></span>
-<span id="L331"><span class="lineNum">     331</span> <span class="tlaGNC">     3734984 :                 double factor = computeFactor(completeEvidence);</span></span>
-<span id="L332"><span class="lineNum">     332</span> <span class="tlaGNC">     3734984 :                 std::lock_guard&lt;std::mutex&gt; lock(mtx);</span></span>
-<span id="L333"><span class="lineNum">     333</span> <span class="tlaGNC">     3734984 :                 result[i] = factor;</span></span>
-<span id="L334"><span class="lineNum">     334</span> <span class="tlaGNC">     3734984 :                 });</span></span>
-<span id="L335"><span class="lineNum">     335</span>              :         }</span>
-<span id="L336"><span class="lineNum">     336</span> <span class="tlaGNC">     4631192 :         for (auto&amp; thread : threads) {</span></span>
-<span id="L337"><span class="lineNum">     337</span> <span class="tlaGNC">     3734984 :             thread.join();</span></span>
-<span id="L338"><span class="lineNum">     338</span>              :         }</span>
-<span id="L339"><span class="lineNum">     339</span>              :         // Normalize result</span>
-<span id="L340"><span class="lineNum">     340</span> <span class="tlaGNC">      896208 :         double sum = accumulate(result.begin(), result.end(), 0.0);</span></span>
-<span id="L341"><span class="lineNum">     341</span> <span class="tlaGNC">     4631192 :         transform(result.begin(), result.end(), result.begin(), [sum](const double&amp; value) { return value / sum; });</span></span>
-<span id="L342"><span class="lineNum">     342</span> <span class="tlaGNC">     1792416 :         return result;</span></span>
-<span id="L343"><span class="lineNum">     343</span> <span class="tlaGNC">      896208 :     }</span></span>
-<span id="L344"><span class="lineNum">     344</span> <span class="tlaGNC">          28 :     std::vector&lt;std::string&gt; Network::show() const</span></span>
-<span id="L345"><span class="lineNum">     345</span>              :     {</span>
-<span id="L346"><span class="lineNum">     346</span> <span class="tlaGNC">          28 :         std::vector&lt;std::string&gt; result;</span></span>
-<span id="L347"><span class="lineNum">     347</span>              :         // Draw the network</span>
-<span id="L348"><span class="lineNum">     348</span> <span class="tlaGNC">         160 :         for (auto&amp; node : nodes) {</span></span>
-<span id="L349"><span class="lineNum">     349</span> <span class="tlaGNC">         132 :             std::string line = node.first + &quot; -&gt; &quot;;</span></span>
-<span id="L350"><span class="lineNum">     350</span> <span class="tlaGNC">         308 :             for (auto child : node.second-&gt;getChildren()) {</span></span>
-<span id="L351"><span class="lineNum">     351</span> <span class="tlaGNC">         176 :                 line += child-&gt;getName() + &quot;, &quot;;</span></span>
-<span id="L352"><span class="lineNum">     352</span>              :             }</span>
-<span id="L353"><span class="lineNum">     353</span> <span class="tlaGNC">         132 :             result.push_back(line);</span></span>
-<span id="L354"><span class="lineNum">     354</span> <span class="tlaGNC">         132 :         }</span></span>
-<span id="L355"><span class="lineNum">     355</span> <span class="tlaGNC">          56 :         return result;</span></span>
-<span id="L356"><span class="lineNum">     356</span> <span class="tlaGNC">          28 :     }</span></span>
-<span id="L357"><span class="lineNum">     357</span> <span class="tlaGNC">         112 :     std::vector&lt;std::string&gt; Network::graph(const std::string&amp; title) const</span></span>
-<span id="L358"><span class="lineNum">     358</span>              :     {</span>
-<span id="L359"><span class="lineNum">     359</span> <span class="tlaGNC">         112 :         auto output = std::vector&lt;std::string&gt;();</span></span>
-<span id="L360"><span class="lineNum">     360</span> <span class="tlaGNC">         112 :         auto prefix = &quot;digraph BayesNet {\nlabel=&lt;BayesNet &quot;;</span></span>
-<span id="L361"><span class="lineNum">     361</span> <span class="tlaGNC">         112 :         auto suffix = &quot;&gt;\nfontsize=30\nfontcolor=blue\nlabelloc=t\nlayout=circo\n&quot;;</span></span>
-<span id="L362"><span class="lineNum">     362</span> <span class="tlaGNC">         112 :         std::string header = prefix + title + suffix;</span></span>
-<span id="L363"><span class="lineNum">     363</span> <span class="tlaGNC">         112 :         output.push_back(header);</span></span>
-<span id="L364"><span class="lineNum">     364</span> <span class="tlaGNC">         844 :         for (auto&amp; node : nodes) {</span></span>
-<span id="L365"><span class="lineNum">     365</span> <span class="tlaGNC">         732 :             auto result = node.second-&gt;graph(className);</span></span>
-<span id="L366"><span class="lineNum">     366</span> <span class="tlaGNC">         732 :             output.insert(output.end(), result.begin(), result.end());</span></span>
-<span id="L367"><span class="lineNum">     367</span> <span class="tlaGNC">         732 :         }</span></span>
-<span id="L368"><span class="lineNum">     368</span> <span class="tlaGNC">         112 :         output.push_back(&quot;}\n&quot;);</span></span>
-<span id="L369"><span class="lineNum">     369</span> <span class="tlaGNC">         224 :         return output;</span></span>
-<span id="L370"><span class="lineNum">     370</span> <span class="tlaGNC">         112 :     }</span></span>
-<span id="L371"><span class="lineNum">     371</span> <span class="tlaGNC">         408 :     std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; Network::getEdges() const</span></span>
-<span id="L372"><span class="lineNum">     372</span>              :     {</span>
-<span id="L373"><span class="lineNum">     373</span> <span class="tlaGNC">         408 :         auto edges = std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt;();</span></span>
-<span id="L374"><span class="lineNum">     374</span> <span class="tlaGNC">        7396 :         for (const auto&amp; node : nodes) {</span></span>
-<span id="L375"><span class="lineNum">     375</span> <span class="tlaGNC">        6988 :             auto head = node.first;</span></span>
-<span id="L376"><span class="lineNum">     376</span> <span class="tlaGNC">       20312 :             for (const auto&amp; child : node.second-&gt;getChildren()) {</span></span>
-<span id="L377"><span class="lineNum">     377</span> <span class="tlaGNC">       13324 :                 auto tail = child-&gt;getName();</span></span>
-<span id="L378"><span class="lineNum">     378</span> <span class="tlaGNC">       13324 :                 edges.push_back({ head, tail });</span></span>
-<span id="L379"><span class="lineNum">     379</span> <span class="tlaGNC">       13324 :             }</span></span>
-<span id="L380"><span class="lineNum">     380</span> <span class="tlaGNC">        6988 :         }</span></span>
-<span id="L381"><span class="lineNum">     381</span> <span class="tlaGNC">         816 :         return edges;</span></span>
-<span id="L382"><span class="lineNum">     382</span> <span class="tlaGNC">         408 :     }</span></span>
-<span id="L383"><span class="lineNum">     383</span> <span class="tlaGNC">         364 :     int Network::getNumEdges() const</span></span>
-<span id="L384"><span class="lineNum">     384</span>              :     {</span>
-<span id="L385"><span class="lineNum">     385</span> <span class="tlaGNC">         364 :         return getEdges().size();</span></span>
-<span id="L386"><span class="lineNum">     386</span>              :     }</span>
-<span id="L387"><span class="lineNum">     387</span> <span class="tlaGNC">         220 :     std::vector&lt;std::string&gt; Network::topological_sort()</span></span>
-<span id="L388"><span class="lineNum">     388</span>              :     {</span>
-<span id="L389"><span class="lineNum">     389</span>              :         /* Check if al the fathers of every node are before the node */</span>
-<span id="L390"><span class="lineNum">     390</span> <span class="tlaGNC">         220 :         auto result = features;</span></span>
-<span id="L391"><span class="lineNum">     391</span> <span class="tlaGNC">         220 :         result.erase(remove(result.begin(), result.end(), className), result.end());</span></span>
-<span id="L392"><span class="lineNum">     392</span> <span class="tlaGNC">         220 :         bool ending{ false };</span></span>
-<span id="L393"><span class="lineNum">     393</span> <span class="tlaGNC">         628 :         while (!ending) {</span></span>
-<span id="L394"><span class="lineNum">     394</span> <span class="tlaGNC">         408 :             ending = true;</span></span>
-<span id="L395"><span class="lineNum">     395</span> <span class="tlaGNC">        3804 :             for (auto feature : features) {</span></span>
-<span id="L396"><span class="lineNum">     396</span> <span class="tlaGNC">        3396 :                 auto fathers = nodes[feature]-&gt;getParents();</span></span>
-<span id="L397"><span class="lineNum">     397</span> <span class="tlaGNC">        9000 :                 for (const auto&amp; father : fathers) {</span></span>
-<span id="L398"><span class="lineNum">     398</span> <span class="tlaGNC">        5604 :                     auto fatherName = father-&gt;getName();</span></span>
-<span id="L399"><span class="lineNum">     399</span> <span class="tlaGNC">        5604 :                     if (fatherName == className) {</span></span>
-<span id="L400"><span class="lineNum">     400</span> <span class="tlaGNC">        2980 :                         continue;</span></span>
-<span id="L401"><span class="lineNum">     401</span>              :                     }</span>
-<span id="L402"><span class="lineNum">     402</span>              :                     // Check if father is placed before the actual feature</span>
-<span id="L403"><span class="lineNum">     403</span> <span class="tlaGNC">        2624 :                     auto it = find(result.begin(), result.end(), fatherName);</span></span>
-<span id="L404"><span class="lineNum">     404</span> <span class="tlaGNC">        2624 :                     if (it != result.end()) {</span></span>
-<span id="L405"><span class="lineNum">     405</span> <span class="tlaGNC">        2624 :                         auto it2 = find(result.begin(), result.end(), feature);</span></span>
-<span id="L406"><span class="lineNum">     406</span> <span class="tlaGNC">        2624 :                         if (it2 != result.end()) {</span></span>
-<span id="L407"><span class="lineNum">     407</span> <span class="tlaGNC">        5248 :                             if (distance(it, it2) &lt; 0) {</span></span>
-<span id="L408"><span class="lineNum">     408</span>              :                                 // if it is not, insert it before the feature</span>
-<span id="L409"><span class="lineNum">     409</span> <span class="tlaGNC">         244 :                                 result.erase(remove(result.begin(), result.end(), fatherName), result.end());</span></span>
-<span id="L410"><span class="lineNum">     410</span> <span class="tlaGNC">         244 :                                 result.insert(it2, fatherName);</span></span>
-<span id="L411"><span class="lineNum">     411</span> <span class="tlaGNC">         244 :                                 ending = false;</span></span>
-<span id="L412"><span class="lineNum">     412</span>              :                             }</span>
-<span id="L413"><span class="lineNum">     413</span>              :                         }</span>
-<span id="L414"><span class="lineNum">     414</span>              :                     }</span>
-<span id="L415"><span class="lineNum">     415</span> <span class="tlaGNC">        5604 :                 }</span></span>
-<span id="L416"><span class="lineNum">     416</span> <span class="tlaGNC">        3396 :             }</span></span>
-<span id="L417"><span class="lineNum">     417</span>              :         }</span>
-<span id="L418"><span class="lineNum">     418</span> <span class="tlaGNC">         440 :         return result;</span></span>
-<span id="L419"><span class="lineNum">     419</span> <span class="tlaGNC">         220 :     }</span></span>
-<span id="L420"><span class="lineNum">     420</span> <span class="tlaGNC">           8 :     std::string Network::dump_cpt() const</span></span>
-<span id="L421"><span class="lineNum">     421</span>              :     {</span>
-<span id="L422"><span class="lineNum">     422</span> <span class="tlaGNC">           8 :         std::stringstream oss;</span></span>
-<span id="L423"><span class="lineNum">     423</span> <span class="tlaGNC">          48 :         for (auto&amp; node : nodes) {</span></span>
-<span id="L424"><span class="lineNum">     424</span> <span class="tlaGNC">          40 :             oss &lt;&lt; &quot;* &quot; &lt;&lt; node.first &lt;&lt; &quot;: (&quot; &lt;&lt; node.second-&gt;getNumStates() &lt;&lt; &quot;) : &quot; &lt;&lt; node.second-&gt;getCPT().sizes() &lt;&lt; std::endl;</span></span>
-<span id="L425"><span class="lineNum">     425</span> <span class="tlaGNC">          40 :             oss &lt;&lt; node.second-&gt;getCPT() &lt;&lt; std::endl;</span></span>
-<span id="L426"><span class="lineNum">     426</span>              :         }</span>
-<span id="L427"><span class="lineNum">     427</span> <span class="tlaGNC">          16 :         return oss.str();</span></span>
-<span id="L428"><span class="lineNum">     428</span> <span class="tlaGNC">           8 :     }</span></span>
-<span id="L429"><span class="lineNum">     429</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.cc.gcov.overview.html b/html/bayesnet/network/Network.cc.gcov.overview.html
deleted file mode 100644
index 96bc96f..0000000
--- a/html/bayesnet/network/Network.cc.gcov.overview.html
+++ /dev/null
@@ -1,128 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Network.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Network.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Network.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Network.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Network.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Network.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Network.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Network.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Network.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Network.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Network.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Network.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Network.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Network.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Network.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Network.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Network.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Network.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="Network.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="Network.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="Network.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="Network.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="Network.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="Network.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="Network.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="Network.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="Network.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="Network.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="Network.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="Network.cc.gcov.html#L105" target="source" alt="overview">
-            <area shape="rect" coords="0,120,79,123" href="Network.cc.gcov.html#L109" target="source" alt="overview">
-            <area shape="rect" coords="0,124,79,127" href="Network.cc.gcov.html#L113" target="source" alt="overview">
-            <area shape="rect" coords="0,128,79,131" href="Network.cc.gcov.html#L117" target="source" alt="overview">
-            <area shape="rect" coords="0,132,79,135" href="Network.cc.gcov.html#L121" target="source" alt="overview">
-            <area shape="rect" coords="0,136,79,139" href="Network.cc.gcov.html#L125" target="source" alt="overview">
-            <area shape="rect" coords="0,140,79,143" href="Network.cc.gcov.html#L129" target="source" alt="overview">
-            <area shape="rect" coords="0,144,79,147" href="Network.cc.gcov.html#L133" target="source" alt="overview">
-            <area shape="rect" coords="0,148,79,151" href="Network.cc.gcov.html#L137" target="source" alt="overview">
-            <area shape="rect" coords="0,152,79,155" href="Network.cc.gcov.html#L141" target="source" alt="overview">
-            <area shape="rect" coords="0,156,79,159" href="Network.cc.gcov.html#L145" target="source" alt="overview">
-            <area shape="rect" coords="0,160,79,163" href="Network.cc.gcov.html#L149" target="source" alt="overview">
-            <area shape="rect" coords="0,164,79,167" href="Network.cc.gcov.html#L153" target="source" alt="overview">
-            <area shape="rect" coords="0,168,79,171" href="Network.cc.gcov.html#L157" target="source" alt="overview">
-            <area shape="rect" coords="0,172,79,175" href="Network.cc.gcov.html#L161" target="source" alt="overview">
-            <area shape="rect" coords="0,176,79,179" href="Network.cc.gcov.html#L165" target="source" alt="overview">
-            <area shape="rect" coords="0,180,79,183" href="Network.cc.gcov.html#L169" target="source" alt="overview">
-            <area shape="rect" coords="0,184,79,187" href="Network.cc.gcov.html#L173" target="source" alt="overview">
-            <area shape="rect" coords="0,188,79,191" href="Network.cc.gcov.html#L177" target="source" alt="overview">
-            <area shape="rect" coords="0,192,79,195" href="Network.cc.gcov.html#L181" target="source" alt="overview">
-            <area shape="rect" coords="0,196,79,199" href="Network.cc.gcov.html#L185" target="source" alt="overview">
-            <area shape="rect" coords="0,200,79,203" href="Network.cc.gcov.html#L189" target="source" alt="overview">
-            <area shape="rect" coords="0,204,79,207" href="Network.cc.gcov.html#L193" target="source" alt="overview">
-            <area shape="rect" coords="0,208,79,211" href="Network.cc.gcov.html#L197" target="source" alt="overview">
-            <area shape="rect" coords="0,212,79,215" href="Network.cc.gcov.html#L201" target="source" alt="overview">
-            <area shape="rect" coords="0,216,79,219" href="Network.cc.gcov.html#L205" target="source" alt="overview">
-            <area shape="rect" coords="0,220,79,223" href="Network.cc.gcov.html#L209" target="source" alt="overview">
-            <area shape="rect" coords="0,224,79,227" href="Network.cc.gcov.html#L213" target="source" alt="overview">
-            <area shape="rect" coords="0,228,79,231" href="Network.cc.gcov.html#L217" target="source" alt="overview">
-            <area shape="rect" coords="0,232,79,235" href="Network.cc.gcov.html#L221" target="source" alt="overview">
-            <area shape="rect" coords="0,236,79,239" href="Network.cc.gcov.html#L225" target="source" alt="overview">
-            <area shape="rect" coords="0,240,79,243" href="Network.cc.gcov.html#L229" target="source" alt="overview">
-            <area shape="rect" coords="0,244,79,247" href="Network.cc.gcov.html#L233" target="source" alt="overview">
-            <area shape="rect" coords="0,248,79,251" href="Network.cc.gcov.html#L237" target="source" alt="overview">
-            <area shape="rect" coords="0,252,79,255" href="Network.cc.gcov.html#L241" target="source" alt="overview">
-            <area shape="rect" coords="0,256,79,259" href="Network.cc.gcov.html#L245" target="source" alt="overview">
-            <area shape="rect" coords="0,260,79,263" href="Network.cc.gcov.html#L249" target="source" alt="overview">
-            <area shape="rect" coords="0,264,79,267" href="Network.cc.gcov.html#L253" target="source" alt="overview">
-            <area shape="rect" coords="0,268,79,271" href="Network.cc.gcov.html#L257" target="source" alt="overview">
-            <area shape="rect" coords="0,272,79,275" href="Network.cc.gcov.html#L261" target="source" alt="overview">
-            <area shape="rect" coords="0,276,79,279" href="Network.cc.gcov.html#L265" target="source" alt="overview">
-            <area shape="rect" coords="0,280,79,283" href="Network.cc.gcov.html#L269" target="source" alt="overview">
-            <area shape="rect" coords="0,284,79,287" href="Network.cc.gcov.html#L273" target="source" alt="overview">
-            <area shape="rect" coords="0,288,79,291" href="Network.cc.gcov.html#L277" target="source" alt="overview">
-            <area shape="rect" coords="0,292,79,295" href="Network.cc.gcov.html#L281" target="source" alt="overview">
-            <area shape="rect" coords="0,296,79,299" href="Network.cc.gcov.html#L285" target="source" alt="overview">
-            <area shape="rect" coords="0,300,79,303" href="Network.cc.gcov.html#L289" target="source" alt="overview">
-            <area shape="rect" coords="0,304,79,307" href="Network.cc.gcov.html#L293" target="source" alt="overview">
-            <area shape="rect" coords="0,308,79,311" href="Network.cc.gcov.html#L297" target="source" alt="overview">
-            <area shape="rect" coords="0,312,79,315" href="Network.cc.gcov.html#L301" target="source" alt="overview">
-            <area shape="rect" coords="0,316,79,319" href="Network.cc.gcov.html#L305" target="source" alt="overview">
-            <area shape="rect" coords="0,320,79,323" href="Network.cc.gcov.html#L309" target="source" alt="overview">
-            <area shape="rect" coords="0,324,79,327" href="Network.cc.gcov.html#L313" target="source" alt="overview">
-            <area shape="rect" coords="0,328,79,331" href="Network.cc.gcov.html#L317" target="source" alt="overview">
-            <area shape="rect" coords="0,332,79,335" href="Network.cc.gcov.html#L321" target="source" alt="overview">
-            <area shape="rect" coords="0,336,79,339" href="Network.cc.gcov.html#L325" target="source" alt="overview">
-            <area shape="rect" coords="0,340,79,343" href="Network.cc.gcov.html#L329" target="source" alt="overview">
-            <area shape="rect" coords="0,344,79,347" href="Network.cc.gcov.html#L333" target="source" alt="overview">
-            <area shape="rect" coords="0,348,79,351" href="Network.cc.gcov.html#L337" target="source" alt="overview">
-            <area shape="rect" coords="0,352,79,355" href="Network.cc.gcov.html#L341" target="source" alt="overview">
-            <area shape="rect" coords="0,356,79,359" href="Network.cc.gcov.html#L345" target="source" alt="overview">
-            <area shape="rect" coords="0,360,79,363" href="Network.cc.gcov.html#L349" target="source" alt="overview">
-            <area shape="rect" coords="0,364,79,367" href="Network.cc.gcov.html#L353" target="source" alt="overview">
-            <area shape="rect" coords="0,368,79,371" href="Network.cc.gcov.html#L357" target="source" alt="overview">
-            <area shape="rect" coords="0,372,79,375" href="Network.cc.gcov.html#L361" target="source" alt="overview">
-            <area shape="rect" coords="0,376,79,379" href="Network.cc.gcov.html#L365" target="source" alt="overview">
-            <area shape="rect" coords="0,380,79,383" href="Network.cc.gcov.html#L369" target="source" alt="overview">
-            <area shape="rect" coords="0,384,79,387" href="Network.cc.gcov.html#L373" target="source" alt="overview">
-            <area shape="rect" coords="0,388,79,391" href="Network.cc.gcov.html#L377" target="source" alt="overview">
-            <area shape="rect" coords="0,392,79,395" href="Network.cc.gcov.html#L381" target="source" alt="overview">
-            <area shape="rect" coords="0,396,79,399" href="Network.cc.gcov.html#L385" target="source" alt="overview">
-            <area shape="rect" coords="0,400,79,403" href="Network.cc.gcov.html#L389" target="source" alt="overview">
-            <area shape="rect" coords="0,404,79,407" href="Network.cc.gcov.html#L393" target="source" alt="overview">
-            <area shape="rect" coords="0,408,79,411" href="Network.cc.gcov.html#L397" target="source" alt="overview">
-            <area shape="rect" coords="0,412,79,415" href="Network.cc.gcov.html#L401" target="source" alt="overview">
-            <area shape="rect" coords="0,416,79,419" href="Network.cc.gcov.html#L405" target="source" alt="overview">
-            <area shape="rect" coords="0,420,79,423" href="Network.cc.gcov.html#L409" target="source" alt="overview">
-            <area shape="rect" coords="0,424,79,427" href="Network.cc.gcov.html#L413" target="source" alt="overview">
-            <area shape="rect" coords="0,428,79,431" href="Network.cc.gcov.html#L417" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Network.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Network.cc.gcov.png" width=80 height=428 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/network/Network.cc.gcov.png b/html/bayesnet/network/Network.cc.gcov.png
deleted file mode 100644
index 9bc84fb5dd77f24063d419a8e099f69cdb3f9dcb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 1925
zcmV;02YUF4P)<h;3K|Lk000e1NJLTq002+`00FH80{{R3b42d#0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<Y6G=ot
zRCt`_TM2R_Aq<Rv;QfO21M&aAtp^b3;t&~ED!WrDd+c-sx(_B_e;$A4*H^s+@KIi#
z@7E`N@l?Pk`(yVK6rb(y7r@ybw=d#hyru$fQ(Ph&aE0tZCZ!QDYvHk=_<AL}0Irw!
z59W{9?%wzK2I6byiU3o;V7&f5#qH~OkJqlsM&<Q&q0P5oZzD^;DRv5TU|t+?3N93}
z3b~<SLa{2}FqW_bci4#uoQdrgij0*V;G5qmX-*Mf0wv&OFWVGnxCUHkIx29XVDO2C
z1r95A4!m$-8Ap3uY39suaU{%m0C-11TpF%XV~(HKYv(cIt~~a@Mx<DfJzbjV97I0S
zL2B&X!KG8O5f2UUBz-9JKnXl>t_5&^kBVJC0vrZ_n_@WM;~+xC_gIqoMrbZcGn<8V
z0tPI6D{*?jh&{qW)p2{|8${1<&UC#9QfGm*-ec17?YNTa3W6&-R^6sr#BFOv`1ath
zoFFv^Qgx;(Owd3TBRN+k;-{}peCje2iYQ$;N^vd8T#GOJtx~W{ahKFq^_Fe8Y>C<9
zeEAy^dnu#oyMx586lWsKAhBo0b4`g^1Q0abzBDP=mKUR?p)A@~4lJG9(np;PTyug)
zxiJlFS=hTgX50&xK(zEGK+T}7QaTo@WV1!a#8U+Hq*2M(6-IpXjn09|0Xk-uT?>n)
z1eiH0kW^L@9GxVj4+VgxVH#7A`yK{>>V#g2Khn(GxJ)h#2Y|8jkC%okGga5m_Kjz;
zhnGm3VGn5h0!8GZ*u$1CzPZZRQoK;t2d?XHaQ)U^gloz8J*^ba?vr4j&;a+BMiLzi
zG~Kx#?Xs=is}$=DWpD^ZR{O<=UAmP}=m76rI#Bl<1}XGzAv#R03A&`}XZd8(QW1@>
zKxAJn5>nYK6ZmSTpeJ!YF#_((5$dEN*WpNUF4gE)XDU+QtfA2NXM@T{6BzmW4F}dd
zu%w7uKsD!NUd&h#a+C*4w)yoNfjkF+?=vK#vUZV(Q=7%6Gffo3dC!T@a7#sFxMwP4
zWU)t4l*a|zDs)R$f9bo#L)M3_5^N5TRY?iSk)trQlEtEOWM(hwopz6Y3*hK9C~#o2
zQ=m4Jn3n=a)T^exPMa!(e5L_J^6e}g`b;e*yv*=v=Msy_jCAN+yFh>*_;OQLwU|<}
z?m9XSI2Zy-W~&nzpfz4-FHJlZc<+S0?yA_M&yHl~zNJe#SOJ3#r0re1Mz5cf=4_;8
z22@31YnfA<5S_Uz4lGdu$+FuH+Gk!h+t{Nck7WiK^=c<5fxNKy41@ti@CJ=1AmN)R
zRj@MkV@G&P$2z1P;Lb3fjUQa8a9}76^Ez}Gq?9!%n@D|*dv=gRw(t#R0$1rgu3^~Y
zIeF5><Jz!%1J`ab{7J5B-!*zDs64AwTe2!6M?fqSc6OW^?U%(zVrO#XJJp>4mVs72
zW)~u|`I>&Y=GvhNVz4l*0Nm+yWT0WStm1T^eAM|)Es0p|p(vVQFSU>u*LFd+8ywF7
zJZ7S&q$|xFL|m3kE%3k#mEe@Bew`Oeb|%Lz|E(9wO9Ow-!np~$J$s#K9yDjIuh1;N
zn659#nxZaUZRINGxRb*arR&wwA348n6*W~T&eC@WDK{g?k69hDa)woBbw12%HO{r}
zNiKg}bRTSA@}#S)u;nf`o@LO}XogisBVfQDJI%qo=`aAKfudhOWIZLaf7p6vXJ^0H
zdeCO?k@Xn;{IK;n^G;$(jA!Gg_Be~pW)e4u^}J)(*-gseNRBID{OO0mCXtQ{PG+R4
zB_0FQYV=tUdk;#6Eu41B5;!m*A0%^UXiH3nso)lI+|)di7?p)i92Y>GOzr-yIc^(3
zc+YRSb&u=_`;<|grZ@=pj^Y8o4|rkfre;Ufhh8|@ETuSH%zMucAdu?J%N_Mo&a6X1
z;|V;Zaxd&n6xibZ8y(WjXMR33C!XuDeNl`zY7{o?_|FzHr)F-DxE_ZT_0{c>#`=hE
zw6b0}WhP>e-Y#7rUtPU-;L)671^k%xkj1dKa(7}qcC^;S+JQAI%#_14Lxt32X--pb
z0VGhL`MAdg1Z*7S(s=;f3@O1#apU8mlS1o^qAai{Uii&urrjdm#XV^Fd9`j&dZIhu
zJy`|N+<!>k9V^N*puBd9<@|5Pb?XZE{()|FFfEfNapaIzrK|Q?57^zyt>wP@Emg|?
zh>Zj5V+WWVf*e@O*E!eMweXpKRnwrC-tCv}UN9q{iD7T3nDHOa^q3L#CbuD!K<J~7
zsd)Mz0?YtH0WT=h^Mlx@Ea(6S);<QR5wHhz|JhgpCqBckt;yyRwq8{1@iW2xWB)*h
zzTcen3bWBixa7)@xwobo^&AA*p&biPFlutcqozf~-4xFr?DhH!Tc*PYH?YLc00000
LNkvXXu0mjfIx3bs

diff --git a/html/bayesnet/network/Network.h.func-c.html b/html/bayesnet/network/Network.h.func-c.html
deleted file mode 100644
index f51978c..0000000
--- a/html/bayesnet/network/Network.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Network.h<span style="font-size: 80%;"> (<a href="Network.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Network.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.h.gcov.html#L18">bayesnet::Network::~Network()</a></td>
-              
-              <td class="coverFnHi">4024</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.h.func.html b/html/bayesnet/network/Network.h.func.html
deleted file mode 100644
index 755cf34..0000000
--- a/html/bayesnet/network/Network.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Network.h<span style="font-size: 80%;"> (<a href="Network.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Network.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Network.h.gcov.html#L18">bayesnet::Network::~Network()</a></td>
-              
-              <td class="coverFnHi">4024</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.h.gcov.frameset.html b/html/bayesnet/network/Network.h.gcov.frameset.html
deleted file mode 100644
index 6fe326f..0000000
--- a/html/bayesnet/network/Network.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Network.h.gcov.overview.html" name="overview">
-          <frame src="Network.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/network/Network.h.gcov.html b/html/bayesnet/network/Network.h.gcov.html
deleted file mode 100644
index ac9673f..0000000
--- a/html/bayesnet/network/Network.h.gcov.html
+++ /dev/null
@@ -1,153 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Network.h<span style="font-size: 80%;"> (source / <a href="Network.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef NETWORK_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define NETWORK_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;map&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;vector&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &quot;bayesnet/config.h&quot;</span>
-<span id="L12"><span class="lineNum">      12</span>              : #include &quot;Node.h&quot;</span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span>              : namespace bayesnet {</span>
-<span id="L15"><span class="lineNum">      15</span>              :     class Network {</span>
-<span id="L16"><span class="lineNum">      16</span>              :     public:</span>
-<span id="L17"><span class="lineNum">      17</span>              :         Network();</span>
-<span id="L18"><span class="lineNum">      18</span>              :         explicit Network(float);</span>
-<span id="L19"><span class="lineNum">      19</span>              :         explicit Network(const Network&amp;);</span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC tlaBgGNC">        4024 :         ~Network() = default;</span></span>
-<span id="L21"><span class="lineNum">      21</span>              :         torch::Tensor&amp; getSamples();</span>
-<span id="L22"><span class="lineNum">      22</span>              :         float getMaxThreads() const;</span>
-<span id="L23"><span class="lineNum">      23</span>              :         void addNode(const std::string&amp;);</span>
-<span id="L24"><span class="lineNum">      24</span>              :         void addEdge(const std::string&amp;, const std::string&amp;);</span>
-<span id="L25"><span class="lineNum">      25</span>              :         std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt;&amp; getNodes();</span>
-<span id="L26"><span class="lineNum">      26</span>              :         std::vector&lt;std::string&gt; getFeatures() const;</span>
-<span id="L27"><span class="lineNum">      27</span>              :         int getStates() const;</span>
-<span id="L28"><span class="lineNum">      28</span>              :         std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; getEdges() const;</span>
-<span id="L29"><span class="lineNum">      29</span>              :         int getNumEdges() const;</span>
-<span id="L30"><span class="lineNum">      30</span>              :         int getClassNumStates() const;</span>
-<span id="L31"><span class="lineNum">      31</span>              :         std::string getClassName() const;</span>
-<span id="L32"><span class="lineNum">      32</span>              :         /*</span>
-<span id="L33"><span class="lineNum">      33</span>              :         Notice: Nodes have to be inserted in the same order as they are in the dataset, i.e., first node is first column and so on.</span>
-<span id="L34"><span class="lineNum">      34</span>              :         */</span>
-<span id="L35"><span class="lineNum">      35</span>              :         void fit(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; input_data, const std::vector&lt;int&gt;&amp; labels, const std::vector&lt;double&gt;&amp; weights, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</span>
-<span id="L36"><span class="lineNum">      36</span>              :         void fit(const torch::Tensor&amp; X, const torch::Tensor&amp; y, const torch::Tensor&amp; weights, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</span>
-<span id="L37"><span class="lineNum">      37</span>              :         void fit(const torch::Tensor&amp; samples, const torch::Tensor&amp; weights, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</span>
-<span id="L38"><span class="lineNum">      38</span>              :         std::vector&lt;int&gt; predict(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp;); // Return mx1 std::vector of predictions</span>
-<span id="L39"><span class="lineNum">      39</span>              :         torch::Tensor predict(const torch::Tensor&amp;); // Return mx1 tensor of predictions</span>
-<span id="L40"><span class="lineNum">      40</span>              :         torch::Tensor predict_tensor(const torch::Tensor&amp; samples, const bool proba);</span>
-<span id="L41"><span class="lineNum">      41</span>              :         std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp;); // Return mxn std::vector of probabilities</span>
-<span id="L42"><span class="lineNum">      42</span>              :         torch::Tensor predict_proba(const torch::Tensor&amp;); // Return mxn tensor of probabilities</span>
-<span id="L43"><span class="lineNum">      43</span>              :         double score(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp;, const std::vector&lt;int&gt;&amp;);</span>
-<span id="L44"><span class="lineNum">      44</span>              :         std::vector&lt;std::string&gt; topological_sort();</span>
-<span id="L45"><span class="lineNum">      45</span>              :         std::vector&lt;std::string&gt; show() const;</span>
-<span id="L46"><span class="lineNum">      46</span>              :         std::vector&lt;std::string&gt; graph(const std::string&amp; title) const; // Returns a std::vector of std::strings representing the graph in graphviz format</span>
-<span id="L47"><span class="lineNum">      47</span>              :         void initialize();</span>
-<span id="L48"><span class="lineNum">      48</span>              :         std::string dump_cpt() const;</span>
-<span id="L49"><span class="lineNum">      49</span>              :         inline std::string version() { return  { project_version.begin(), project_version.end() }; }</span>
-<span id="L50"><span class="lineNum">      50</span>              :     private:</span>
-<span id="L51"><span class="lineNum">      51</span>              :         std::map&lt;std::string, std::unique_ptr&lt;Node&gt;&gt; nodes;</span>
-<span id="L52"><span class="lineNum">      52</span>              :         bool fitted;</span>
-<span id="L53"><span class="lineNum">      53</span>              :         float maxThreads = 0.95;</span>
-<span id="L54"><span class="lineNum">      54</span>              :         int classNumStates;</span>
-<span id="L55"><span class="lineNum">      55</span>              :         std::vector&lt;std::string&gt; features; // Including classname</span>
-<span id="L56"><span class="lineNum">      56</span>              :         std::string className;</span>
-<span id="L57"><span class="lineNum">      57</span>              :         double laplaceSmoothing;</span>
-<span id="L58"><span class="lineNum">      58</span>              :         torch::Tensor samples; // n+1xm tensor used to fit the model</span>
-<span id="L59"><span class="lineNum">      59</span>              :         bool isCyclic(const std::string&amp;, std::unordered_set&lt;std::string&gt;&amp;, std::unordered_set&lt;std::string&gt;&amp;);</span>
-<span id="L60"><span class="lineNum">      60</span>              :         std::vector&lt;double&gt; predict_sample(const std::vector&lt;int&gt;&amp;);</span>
-<span id="L61"><span class="lineNum">      61</span>              :         std::vector&lt;double&gt; predict_sample(const torch::Tensor&amp;);</span>
-<span id="L62"><span class="lineNum">      62</span>              :         std::vector&lt;double&gt; exactInference(std::map&lt;std::string, int&gt;&amp;);</span>
-<span id="L63"><span class="lineNum">      63</span>              :         double computeFactor(std::map&lt;std::string, int&gt;&amp;);</span>
-<span id="L64"><span class="lineNum">      64</span>              :         void completeFit(const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights);</span>
-<span id="L65"><span class="lineNum">      65</span>              :         void checkFitData(int n_features, int n_samples, int n_samples_y, const std::vector&lt;std::string&gt;&amp; featureNames, const std::string&amp; className, const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights);</span>
-<span id="L66"><span class="lineNum">      66</span>              :         void setStates(const std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp;);</span>
-<span id="L67"><span class="lineNum">      67</span>              :     };</span>
-<span id="L68"><span class="lineNum">      68</span>              : }</span>
-<span id="L69"><span class="lineNum">      69</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Network.h.gcov.overview.html b/html/bayesnet/network/Network.h.gcov.overview.html
deleted file mode 100644
index bdda93e..0000000
--- a/html/bayesnet/network/Network.h.gcov.overview.html
+++ /dev/null
@@ -1,38 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/network/Network.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Network.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Network.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Network.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Network.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Network.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Network.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Network.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Network.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Network.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Network.h.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Network.h.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Network.h.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Network.h.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Network.h.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Network.h.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Network.h.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Network.h.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Network.h.gcov.html#L57" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Network.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Network.h.gcov.png" width=80 height=68 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/network/Network.h.gcov.png b/html/bayesnet/network/Network.h.gcov.png
deleted file mode 100644
index f815125982c91b9b2e01d7fe832f0292ddaea0cd..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 478
zcmV<40U`d0P)<h;3K|Lk000e1NJLTq002+`002b<0{{R3FC=`n0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<SY)M2x
zR7i=PR*MybFbI?l$O^hayZ>&DK@xsRu)ID^eHV@cf*u9R+K$H*5a@#Siu?c#5XI)u
zlt=9QH^5blY2&!(oPPlCFjLe`PuAmJV%lTcxO@c?(AETd?iT^3YbsNe1;VtPXSMHb
z*Htf{b7lirp>&%7i5h#0Z^|emTx81vVYWq{F1yAUD4hlY@aAoO+!0mT7uz|s{j?Yw
z)>tJtmhk}B5|l@5KR`NY^$PUpzO}z^J%a3AU72SQ08!SuuS1~j3;H|KQ)~~37@$ZX
zs#{AzY4RJ=1H&LtQyZLGg&rez20|!fX!q31p=yBhR`VXA#|k=+FlF-|-Rm?43P!lW
zpx>p9EW_!<$Vm}IL7XX%kCNR>ag4`wj4T{`z<!!xBIU9d64c0~RAQO}TAuEGolSnA
z#rR`WjK?`Jp5czu)U5c^5?58=KqEU38X!+F?&5wVEHH97z983SV@rSU1lmIT0p3hq
U@-yEsmjD0&07*qoM6N<$g5|f%HUIzs

diff --git a/html/bayesnet/network/Node.cc.func-c.html b/html/bayesnet/network/Node.cc.func-c.html
deleted file mode 100644
index dab5657..0000000
--- a/html/bayesnet/network/Node.cc.func-c.html
+++ /dev/null
@@ -1,223 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Node.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Node.cc<span style="font-size: 80%;"> (<a href="Node.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">88</td>
-            <td class="headerCovTableEntry">88</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">20</td>
-            <td class="headerCovTableEntry">20</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Node.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L13">bayesnet::Node::clear()</a></td>
-              
-              <td class="coverFnHi">9</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L33">bayesnet::Node::removeChild(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">17</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L29">bayesnet::Node::removeParent(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">17</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L80">bayesnet::Node::combinations(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">45</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L68">bayesnet::Node::minFill()</a></td>
-              
-              <td class="coverFnHi">45</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L57">bayesnet::Node::getCPT()</a></td>
-              
-              <td class="coverFnHi">429</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L130">bayesnet::Node::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">732</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L135">auto bayesnet::Node::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">1108</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L41">bayesnet::Node::getParents()</a></td>
-              
-              <td class="coverFnHi">5087</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L9">bayesnet::Node::Node(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">31339</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L53">bayesnet::Node::setNumStates(int)</a></td>
-              
-              <td class="coverFnHi">32864</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L91">bayesnet::Node::computeCPT(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, double, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">32894</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L37">bayesnet::Node::addChild(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">59235</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L25">bayesnet::Node::addParent(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">59262</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L96">auto bayesnet::Node::computeCPT(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, double, at::Tensor const&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">62020</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L49">bayesnet::Node::getNumStates() const</a></td>
-              
-              <td class="coverFnHi">64124</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L45">bayesnet::Node::getChildren()</a></td>
-              
-              <td class="coverFnHi">77571</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L122">bayesnet::Node::getFactorValue(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">69151761</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L127">auto bayesnet::Node::getFactorValue(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">129301512</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L21">bayesnet::Node::getName[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">150429643</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Node.cc.func.html b/html/bayesnet/network/Node.cc.func.html
deleted file mode 100644
index d8e7bd8..0000000
--- a/html/bayesnet/network/Node.cc.func.html
+++ /dev/null
@@ -1,223 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Node.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Node.cc<span style="font-size: 80%;"> (<a href="Node.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">88</td>
-            <td class="headerCovTableEntry">88</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">20</td>
-            <td class="headerCovTableEntry">20</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Node.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L96">auto bayesnet::Node::computeCPT(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, double, at::Tensor const&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">62020</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L127">auto bayesnet::Node::getFactorValue(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">129301512</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L135">auto bayesnet::Node::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
-              
-              <td class="coverFnHi">1108</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L9">bayesnet::Node::Node(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">31339</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L37">bayesnet::Node::addChild(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">59235</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L25">bayesnet::Node::addParent(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">59262</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L13">bayesnet::Node::clear()</a></td>
-              
-              <td class="coverFnHi">9</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L80">bayesnet::Node::combinations(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">45</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L91">bayesnet::Node::computeCPT(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, double, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">32894</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L57">bayesnet::Node::getCPT()</a></td>
-              
-              <td class="coverFnHi">429</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L45">bayesnet::Node::getChildren()</a></td>
-              
-              <td class="coverFnHi">77571</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L122">bayesnet::Node::getFactorValue(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, int, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, int&gt; &gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">69151761</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L21">bayesnet::Node::getName[abi:cxx11]() const</a></td>
-              
-              <td class="coverFnHi">150429643</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L49">bayesnet::Node::getNumStates() const</a></td>
-              
-              <td class="coverFnHi">64124</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L41">bayesnet::Node::getParents()</a></td>
-              
-              <td class="coverFnHi">5087</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L130">bayesnet::Node::graph(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">732</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L68">bayesnet::Node::minFill()</a></td>
-              
-              <td class="coverFnHi">45</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L33">bayesnet::Node::removeChild(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">17</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L29">bayesnet::Node::removeParent(bayesnet::Node*)</a></td>
-              
-              <td class="coverFnHi">17</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Node.cc.gcov.html#L53">bayesnet::Node::setNumStates(int)</a></td>
-              
-              <td class="coverFnHi">32864</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Node.cc.gcov.frameset.html b/html/bayesnet/network/Node.cc.gcov.frameset.html
deleted file mode 100644
index 48cc9aa..0000000
--- a/html/bayesnet/network/Node.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/network/Node.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Node.cc.gcov.overview.html" name="overview">
-          <frame src="Node.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/network/Node.cc.gcov.html b/html/bayesnet/network/Node.cc.gcov.html
deleted file mode 100644
index 84aebe5..0000000
--- a/html/bayesnet/network/Node.cc.gcov.html
+++ /dev/null
@@ -1,224 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network/Node.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/network</a> - Node.cc<span style="font-size: 80%;"> (source / <a href="Node.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">88</td>
-            <td class="headerCovTableEntry">88</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">20</td>
-            <td class="headerCovTableEntry">20</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;Node.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : </span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              : </span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">       31339 :     Node::Node(const std::string&amp; name)</span></span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">       31339 :         : name(name)</span></span>
-<span id="L13"><span class="lineNum">      13</span>              :     {</span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">       31339 :     }</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">           9 :     void Node::clear()</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :     {</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">           9 :         parents.clear();</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">           9 :         children.clear();</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">           9 :         cpTable = torch::Tensor();</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">           9 :         dimensions.clear();</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">           9 :         numStates = 0;</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">           9 :     }</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">   150429643 :     std::string Node::getName() const</span></span>
-<span id="L24"><span class="lineNum">      24</span>              :     {</span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">   150429643 :         return name;</span></span>
-<span id="L26"><span class="lineNum">      26</span>              :     }</span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">       59262 :     void Node::addParent(Node* parent)</span></span>
-<span id="L28"><span class="lineNum">      28</span>              :     {</span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">       59262 :         parents.push_back(parent);</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">       59262 :     }</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">          17 :     void Node::removeParent(Node* parent)</span></span>
-<span id="L32"><span class="lineNum">      32</span>              :     {</span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">          17 :         parents.erase(std::remove(parents.begin(), parents.end(), parent), parents.end());</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">          17 :     }</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">          17 :     void Node::removeChild(Node* child)</span></span>
-<span id="L36"><span class="lineNum">      36</span>              :     {</span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">          17 :         children.erase(std::remove(children.begin(), children.end(), child), children.end());</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">          17 :     }</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">       59235 :     void Node::addChild(Node* child)</span></span>
-<span id="L40"><span class="lineNum">      40</span>              :     {</span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">       59235 :         children.push_back(child);</span></span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">       59235 :     }</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">        5087 :     std::vector&lt;Node*&gt;&amp; Node::getParents()</span></span>
-<span id="L44"><span class="lineNum">      44</span>              :     {</span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">        5087 :         return parents;</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :     }</span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">       77571 :     std::vector&lt;Node*&gt;&amp; Node::getChildren()</span></span>
-<span id="L48"><span class="lineNum">      48</span>              :     {</span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">       77571 :         return children;</span></span>
-<span id="L50"><span class="lineNum">      50</span>              :     }</span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">       64124 :     int Node::getNumStates() const</span></span>
-<span id="L52"><span class="lineNum">      52</span>              :     {</span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">       64124 :         return numStates;</span></span>
-<span id="L54"><span class="lineNum">      54</span>              :     }</span>
-<span id="L55"><span class="lineNum">      55</span> <span class="tlaGNC">       32864 :     void Node::setNumStates(int numStates)</span></span>
-<span id="L56"><span class="lineNum">      56</span>              :     {</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">       32864 :         this-&gt;numStates = numStates;</span></span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">       32864 :     }</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">         429 :     torch::Tensor&amp; Node::getCPT()</span></span>
-<span id="L60"><span class="lineNum">      60</span>              :     {</span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">         429 :         return cpTable;</span></span>
-<span id="L62"><span class="lineNum">      62</span>              :     }</span>
-<span id="L63"><span class="lineNum">      63</span>              :     /*</span>
-<span id="L64"><span class="lineNum">      64</span>              :      The MinFill criterion is a heuristic for variable elimination.</span>
-<span id="L65"><span class="lineNum">      65</span>              :      The variable that minimizes the number of edges that need to be added to the graph to make it triangulated.</span>
-<span id="L66"><span class="lineNum">      66</span>              :      This is done by counting the number of edges that need to be added to the graph if the variable is eliminated.</span>
-<span id="L67"><span class="lineNum">      67</span>              :      The variable with the minimum number of edges is chosen.</span>
-<span id="L68"><span class="lineNum">      68</span>              :      Here this is done computing the length of the combinations of the node neighbors taken 2 by 2.</span>
-<span id="L69"><span class="lineNum">      69</span>              :     */</span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">          45 :     unsigned Node::minFill()</span></span>
-<span id="L71"><span class="lineNum">      71</span>              :     {</span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">          45 :         std::unordered_set&lt;std::string&gt; neighbors;</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">         117 :         for (auto child : children) {</span></span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">          72 :             neighbors.emplace(child-&gt;getName());</span></span>
-<span id="L75"><span class="lineNum">      75</span>              :         }</span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">         108 :         for (auto parent : parents) {</span></span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">          63 :             neighbors.emplace(parent-&gt;getName());</span></span>
-<span id="L78"><span class="lineNum">      78</span>              :         }</span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">          45 :         auto source = std::vector&lt;std::string&gt;(neighbors.begin(), neighbors.end());</span></span>
-<span id="L80"><span class="lineNum">      80</span> <span class="tlaGNC">          90 :         return combinations(source).size();</span></span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">          45 :     }</span></span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">          45 :     std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; Node::combinations(const std::vector&lt;std::string&gt;&amp; source)</span></span>
-<span id="L83"><span class="lineNum">      83</span>              :     {</span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">          45 :         std::vector&lt;std::pair&lt;std::string, std::string&gt;&gt; result;</span></span>
-<span id="L85"><span class="lineNum">      85</span> <span class="tlaGNC">         180 :         for (int i = 0; i &lt; source.size(); ++i) {</span></span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">         135 :             std::string temp = source[i];</span></span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">         279 :             for (int j = i + 1; j &lt; source.size(); ++j) {</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">         144 :                 result.push_back({ temp, source[j] });</span></span>
-<span id="L89"><span class="lineNum">      89</span>              :             }</span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">         135 :         }</span></span>
-<span id="L91"><span class="lineNum">      91</span> <span class="tlaGNC">          90 :         return result;</span></span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">          45 :     }</span></span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaGNC">       32894 :     void Node::computeCPT(const torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const double laplaceSmoothing, const torch::Tensor&amp; weights)</span></span>
-<span id="L94"><span class="lineNum">      94</span>              :     {</span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaGNC">       32894 :         dimensions.clear();</span></span>
-<span id="L96"><span class="lineNum">      96</span>              :         // Get dimensions of the CPT</span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC">       32894 :         dimensions.push_back(numStates);</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">       94914 :         transform(parents.begin(), parents.end(), back_inserter(dimensions), [](const auto&amp; parent) { return parent-&gt;getNumStates(); });</span></span>
-<span id="L99"><span class="lineNum">      99</span>              :         // Create a tensor of zeros with the dimensions of the CPT</span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">       32894 :         cpTable = torch::zeros(dimensions, torch::kFloat) + laplaceSmoothing;</span></span>
-<span id="L101"><span class="lineNum">     101</span>              :         // Fill table with counts</span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">       32894 :         auto pos = find(features.begin(), features.end(), name);</span></span>
-<span id="L103"><span class="lineNum">     103</span> <span class="tlaGNC">       32894 :         if (pos == features.end()) {</span></span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">           8 :             throw std::logic_error(&quot;Feature &quot; + name + &quot; not found in dataset&quot;);</span></span>
-<span id="L105"><span class="lineNum">     105</span>              :         }</span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">       32886 :         int name_index = pos - features.begin();</span></span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">    11221522 :         for (int n_sample = 0; n_sample &lt; dataset.size(1); ++n_sample) {</span></span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">    11188649 :             c10::List&lt;c10::optional&lt;at::Tensor&gt;&gt; coordinates;</span></span>
-<span id="L109"><span class="lineNum">     109</span> <span class="tlaGNC">    33565947 :             coordinates.push_back(dataset.index({ name_index, n_sample }));</span></span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">    32200749 :             for (auto parent : parents) {</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">    21012113 :                 pos = find(features.begin(), features.end(), parent-&gt;getName());</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">    21012113 :                 if (pos == features.end()) {</span></span>
-<span id="L113"><span class="lineNum">     113</span> <span class="tlaGNC">          13 :                     throw std::logic_error(&quot;Feature parent &quot; + parent-&gt;getName() + &quot; not found in dataset&quot;);</span></span>
-<span id="L114"><span class="lineNum">     114</span>              :                 }</span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">    21012100 :                 int parent_index = pos - features.begin();</span></span>
-<span id="L116"><span class="lineNum">     116</span> <span class="tlaGNC">    63036300 :                 coordinates.push_back(dataset.index({ parent_index, n_sample }));</span></span>
-<span id="L117"><span class="lineNum">     117</span>              :             }</span>
-<span id="L118"><span class="lineNum">     118</span>              :             // Increment the count of the corresponding coordinate</span>
-<span id="L119"><span class="lineNum">     119</span> <span class="tlaGNC">    22377272 :             cpTable.index_put_({ coordinates }, cpTable.index({ coordinates }) + weights.index({ n_sample }).item&lt;double&gt;());</span></span>
-<span id="L120"><span class="lineNum">     120</span> <span class="tlaGNC">    11188649 :         }</span></span>
-<span id="L121"><span class="lineNum">     121</span>              :         // Normalize the counts</span>
-<span id="L122"><span class="lineNum">     122</span> <span class="tlaGNC">       32873 :         cpTable = cpTable / cpTable.sum(0);</span></span>
-<span id="L123"><span class="lineNum">     123</span> <span class="tlaGNC">    43422258 :     }</span></span>
-<span id="L124"><span class="lineNum">     124</span> <span class="tlaGNC">    69151761 :     float Node::getFactorValue(std::map&lt;std::string, int&gt;&amp; evidence)</span></span>
-<span id="L125"><span class="lineNum">     125</span>              :     {</span>
-<span id="L126"><span class="lineNum">     126</span> <span class="tlaGNC">    69151761 :         c10::List&lt;c10::optional&lt;at::Tensor&gt;&gt; coordinates;</span></span>
-<span id="L127"><span class="lineNum">     127</span>              :         // following predetermined order of indices in the cpTable (see Node.h)</span>
-<span id="L128"><span class="lineNum">     128</span> <span class="tlaGNC">    69151761 :         coordinates.push_back(at::tensor(evidence[name]));</span></span>
-<span id="L129"><span class="lineNum">     129</span> <span class="tlaGNC">   198453273 :         transform(parents.begin(), parents.end(), std::back_inserter(coordinates), [&amp;evidence](const auto&amp; parent) { return at::tensor(evidence[parent-&gt;getName()]); });</span></span>
-<span id="L130"><span class="lineNum">     130</span> <span class="tlaGNC">   138303522 :         return cpTable.index({ coordinates }).item&lt;float&gt;();</span></span>
-<span id="L131"><span class="lineNum">     131</span> <span class="tlaGNC">    69151761 :     }</span></span>
-<span id="L132"><span class="lineNum">     132</span> <span class="tlaGNC">         732 :     std::vector&lt;std::string&gt; Node::graph(const std::string&amp; className)</span></span>
-<span id="L133"><span class="lineNum">     133</span>              :     {</span>
-<span id="L134"><span class="lineNum">     134</span> <span class="tlaGNC">         732 :         auto output = std::vector&lt;std::string&gt;();</span></span>
-<span id="L135"><span class="lineNum">     135</span> <span class="tlaGNC">         732 :         auto suffix = name == className ? &quot;, fontcolor=red, fillcolor=lightblue, style=filled &quot; : &quot;&quot;;</span></span>
-<span id="L136"><span class="lineNum">     136</span> <span class="tlaGNC">         732 :         output.push_back(name + &quot; [shape=circle&quot; + suffix + &quot;] \n&quot;);</span></span>
-<span id="L137"><span class="lineNum">     137</span> <span class="tlaGNC">        1840 :         transform(children.begin(), children.end(), back_inserter(output), [this](const auto&amp; child) { return name + &quot; -&gt; &quot; + child-&gt;getName(); });</span></span>
-<span id="L138"><span class="lineNum">     138</span> <span class="tlaGNC">        1464 :         return output;</span></span>
-<span id="L139"><span class="lineNum">     139</span> <span class="tlaGNC">         732 :     }</span></span>
-<span id="L140"><span class="lineNum">     140</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/Node.cc.gcov.overview.html b/html/bayesnet/network/Node.cc.gcov.overview.html
deleted file mode 100644
index 59f204f..0000000
--- a/html/bayesnet/network/Node.cc.gcov.overview.html
+++ /dev/null
@@ -1,55 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/network/Node.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Node.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Node.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Node.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Node.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Node.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Node.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Node.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Node.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Node.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Node.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Node.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Node.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Node.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Node.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Node.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Node.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Node.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Node.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="Node.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="Node.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="Node.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="Node.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="Node.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="Node.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="Node.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="Node.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="Node.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="Node.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="Node.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="Node.cc.gcov.html#L105" target="source" alt="overview">
-            <area shape="rect" coords="0,120,79,123" href="Node.cc.gcov.html#L109" target="source" alt="overview">
-            <area shape="rect" coords="0,124,79,127" href="Node.cc.gcov.html#L113" target="source" alt="overview">
-            <area shape="rect" coords="0,128,79,131" href="Node.cc.gcov.html#L117" target="source" alt="overview">
-            <area shape="rect" coords="0,132,79,135" href="Node.cc.gcov.html#L121" target="source" alt="overview">
-            <area shape="rect" coords="0,136,79,139" href="Node.cc.gcov.html#L125" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Node.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Node.cc.gcov.png" width=80 height=139 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/network/Node.cc.gcov.png b/html/bayesnet/network/Node.cc.gcov.png
deleted file mode 100644
index e5942a5a50347c02f60448a797b86826b1ac1422..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 758
zcmV<S0tx+zP)<h;3K|Lk000e1NJLTq002+`004{x0{{R38N)Nm0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<Tgh@m}
zR9J<@SOJ!;APB7;__h!`!2R#-mw=)nsrAorX3Eph<q8Ni+i(B*vawW(J6*zg4e}r~
zib1_>N`)Bm`wxm9$6=8@^lh#nCRglVAs$C$fpo?5=P+cuE|^rTKUaz-z$-;z=i8n^
zEc+f-^sq${@d36%^dPh13F%Rs^dp7X4fVVq;mf4Rv6iI#hGUVhIVOi%ufE_|A4&?@
zxnAc8{d4`6W3~h7ca<Y{L-W_MRs_4KD`&>7C~r9$?=EqCs*mFw3pb}=tZ{rO&1+|-
z+wGR}5xwTQ5NoLneZ@b^$8$~@9Y6LoAkm-~0*`2U_EVD+DTX{0UZdc3N#o&8%kWEz
z;YYuMbv~yT126Y9J}E@zASlhmCMFuw%rLD&nhpndO(B#-`@-QILM>*tks?y-N6N}R
zqE+rq#Sxa;bOcy1-KtNTP8|^Mu(1@)s-$%79*d<}1gaYoc-e*(X03>qvjOwQ;qG?r
zaOBwZ#u<g_pl-6z{DAHj;`7dDW8I${mExPO!1Yo$+{F++egXiuxU?8SWEoS`1EzW?
zrs>E4ZPa3N|M1bM`61@b2$a{k$mL*oT@Q%`F%O^);)PjpOzC^3aY{~<5KdOJm<~)~
z+Et{AC%4K?P;qR9Kg;i%X$8v_E`4=e{hC{jYZXLj?(Cisr*CE1Iz5ulTf`@)D~{3i
z`n~ov4iXQI*B%np{db;G<lj=IvDbz<yja;k9XFX~TsfU1Q=h^d#n+w7ZkJNb=MhKp
zyV-TNh*2s}q$(28`6M-x!mxVVU^@YTR@RWK69Ci;HKon^@jlL&jXf&@&wIw!8~3Qb
o4)R9NkJ#LKYyY7QkEtEUKaPb0@BA!FSpWb407*qoM6N<$f|F)s=l}o!

diff --git a/html/bayesnet/network/index-detail-sort-f.html b/html/bayesnet/network/index-detail-sort-f.html
deleted file mode 100644
index f5574a3..0000000
--- a/html/bayesnet/network/index-detail-sort-f.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/network</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">384</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">61</td>
-            <td class="headerCovTableEntry">61</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.h.gcov.frameset.html">Network.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Node.cc.gcov.frameset.html">Node.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.cc.gcov.frameset.html">Network.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">40</td>
-              <td class="coverNumDflt">40</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/index-detail-sort-l.html b/html/bayesnet/network/index-detail-sort-l.html
deleted file mode 100644
index b032e99..0000000
--- a/html/bayesnet/network/index-detail-sort-l.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/network</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">384</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">61</td>
-            <td class="headerCovTableEntry">61</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.h.gcov.frameset.html">Network.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Node.cc.gcov.frameset.html">Node.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.cc.gcov.frameset.html">Network.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">40</td>
-              <td class="coverNumDflt">40</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/index-detail.html b/html/bayesnet/network/index-detail.html
deleted file mode 100644
index 60f89a2..0000000
--- a/html/bayesnet/network/index-detail.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/network</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">384</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">61</td>
-            <td class="headerCovTableEntry">61</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.cc.gcov.frameset.html">Network.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">40</td>
-              <td class="coverNumDflt">40</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.h.gcov.frameset.html">Network.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Node.cc.gcov.frameset.html">Node.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/index-sort-f.html b/html/bayesnet/network/index-sort-f.html
deleted file mode 100644
index f5574a3..0000000
--- a/html/bayesnet/network/index-sort-f.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/network</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">384</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">61</td>
-            <td class="headerCovTableEntry">61</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.h.gcov.frameset.html">Network.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Node.cc.gcov.frameset.html">Node.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.cc.gcov.frameset.html">Network.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">40</td>
-              <td class="coverNumDflt">40</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/index-sort-l.html b/html/bayesnet/network/index-sort-l.html
deleted file mode 100644
index b032e99..0000000
--- a/html/bayesnet/network/index-sort-l.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/network</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">384</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">61</td>
-            <td class="headerCovTableEntry">61</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.h.gcov.frameset.html">Network.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Node.cc.gcov.frameset.html">Node.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.cc.gcov.frameset.html">Network.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">40</td>
-              <td class="coverNumDflt">40</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/network/index.html b/html/bayesnet/network/index.html
deleted file mode 100644
index 60f89a2..0000000
--- a/html/bayesnet/network/index.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/network</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/network</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">384</td>
-            <td class="headerCovTableEntry">384</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">61</td>
-            <td class="headerCovTableEntry">61</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.cc.gcov.frameset.html">Network.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverNumDflt">295</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">40</td>
-              <td class="coverNumDflt">40</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Network.h.gcov.frameset.html">Network.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Node.cc.gcov.frameset.html">Node.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverNumDflt">88</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">20</td>
-              <td class="coverNumDflt">20</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.cc.func-c.html b/html/bayesnet/utils/BayesMetrics.cc.func-c.html
deleted file mode 100644
index 4a62b6f..0000000
--- a/html/bayesnet/utils/BayesMetrics.cc.func-c.html
+++ /dev/null
@@ -1,160 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - BayesMetrics.cc<span style="font-size: 80%;"> (<a href="BayesMetrics.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.2&nbsp;%</td>
-            <td class="headerCovTableEntry">114</td>
-            <td class="headerCovTableEntry">112</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">11</td>
-            <td class="headerCovTableEntry">11</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="BayesMetrics.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L63">bayesnet::Metrics::getScoresKBest() const</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L17">bayesnet::Metrics::Metrics(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">96</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L154">bayesnet::Metrics::maximumSpanningTree(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L68">bayesnet::Metrics::conditionalEdge(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L28">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&amp;, bool, unsigned int)</a></td>
-              
-              <td class="coverFnHi">478</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L45">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&amp;, bool, unsigned int)::{lambda(int, int)#1}::operator()(int, int) const</a></td>
-              
-              <td class="coverFnHi">2088</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L9">bayesnet::Metrics::Metrics(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">2123</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L116">bayesnet::Metrics::conditionalEntropy(at::Tensor const&amp;, at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">34276</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L145">bayesnet::Metrics::mutualInformation(at::Tensor const&amp;, at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">34276</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L106">bayesnet::Metrics::entropy(at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">41732</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L55">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&amp;, bool, unsigned int)::{lambda(int, int)#2}::operator()(int, int) const</a></td>
-              
-              <td class="coverFnHi">64808</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.cc.func.html b/html/bayesnet/utils/BayesMetrics.cc.func.html
deleted file mode 100644
index bd8292c..0000000
--- a/html/bayesnet/utils/BayesMetrics.cc.func.html
+++ /dev/null
@@ -1,160 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - BayesMetrics.cc<span style="font-size: 80%;"> (<a href="BayesMetrics.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.2&nbsp;%</td>
-            <td class="headerCovTableEntry">114</td>
-            <td class="headerCovTableEntry">112</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">11</td>
-            <td class="headerCovTableEntry">11</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="BayesMetrics.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L9">bayesnet::Metrics::Metrics(at::Tensor const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">2123</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L17">bayesnet::Metrics::Metrics(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; const&amp;, std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">96</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L28">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&amp;, bool, unsigned int)</a></td>
-              
-              <td class="coverFnHi">478</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L45">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&amp;, bool, unsigned int)::{lambda(int, int)#1}::operator()(int, int) const</a></td>
-              
-              <td class="coverFnHi">2088</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L55">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&amp;, bool, unsigned int)::{lambda(int, int)#2}::operator()(int, int) const</a></td>
-              
-              <td class="coverFnHi">64808</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L68">bayesnet::Metrics::conditionalEdge(at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L116">bayesnet::Metrics::conditionalEntropy(at::Tensor const&amp;, at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">34276</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L106">bayesnet::Metrics::entropy(at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">41732</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L63">bayesnet::Metrics::getScoresKBest() const</a></td>
-              
-              <td class="coverFnHi">48</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L154">bayesnet::Metrics::maximumSpanningTree(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L145">bayesnet::Metrics::mutualInformation(at::Tensor const&amp;, at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
-              
-              <td class="coverFnHi">34276</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.cc.gcov.frameset.html b/html/bayesnet/utils/BayesMetrics.cc.gcov.frameset.html
deleted file mode 100644
index b487ab4..0000000
--- a/html/bayesnet/utils/BayesMetrics.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="BayesMetrics.cc.gcov.overview.html" name="overview">
-          <frame src="BayesMetrics.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/utils/BayesMetrics.cc.gcov.html b/html/bayesnet/utils/BayesMetrics.cc.gcov.html
deleted file mode 100644
index 9c67e25..0000000
--- a/html/bayesnet/utils/BayesMetrics.cc.gcov.html
+++ /dev/null
@@ -1,245 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - BayesMetrics.cc<span style="font-size: 80%;"> (source / <a href="BayesMetrics.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">98.2&nbsp;%</td>
-            <td class="headerCovTableEntry">114</td>
-            <td class="headerCovTableEntry">112</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">11</td>
-            <td class="headerCovTableEntry">11</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &quot;Mst.h&quot;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;BayesMetrics.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              :     //samples is n+1xm tensor used to fit the model</span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">        2123 :     Metrics::Metrics(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int classNumStates)</span></span>
-<span id="L12"><span class="lineNum">      12</span> <span class="tlaGNC">        2123 :         : samples(samples)</span></span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">        2123 :         , className(className)</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">        2123 :         , features(features)</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">        2123 :         , classNumStates(classNumStates)</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :     {</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">        2123 :     }</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :     //samples is n+1xm std::vector used to fit the model</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          96 :     Metrics::Metrics(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; vsamples, const std::vector&lt;int&gt;&amp; labels, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int classNumStates)</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">          96 :         : samples(torch::zeros({ static_cast&lt;int&gt;(vsamples.size() + 1), static_cast&lt;int&gt;(vsamples[0].size()) }, torch::kInt32))</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">          96 :         , className(className)</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          96 :         , features(features)</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">          96 :         , classNumStates(classNumStates)</span></span>
-<span id="L24"><span class="lineNum">      24</span>              :     {</span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">         768 :         for (int i = 0; i &lt; vsamples.size(); ++i) {</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">        2688 :             samples.index_put_({ i,  &quot;...&quot; }, torch::tensor(vsamples[i], torch::kInt32));</span></span>
-<span id="L27"><span class="lineNum">      27</span>              :         }</span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">         384 :         samples.index_put_({ -1, &quot;...&quot; }, torch::tensor(labels, torch::kInt32));</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">         864 :     }</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">         478 :     std::vector&lt;int&gt; Metrics::SelectKBestWeighted(const torch::Tensor&amp; weights, bool ascending, unsigned k)</span></span>
-<span id="L31"><span class="lineNum">      31</span>              :     {</span>
-<span id="L32"><span class="lineNum">      32</span>              :         // Return the K Best features </span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">         478 :         auto n = features.size();</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">         478 :         if (k == 0) {</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">           6 :             k = n;</span></span>
-<span id="L36"><span class="lineNum">      36</span>              :         }</span>
-<span id="L37"><span class="lineNum">      37</span>              :         // compute scores</span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">         478 :         scoresKBest.clear();</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         478 :         featuresKBest.clear();</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">        1434 :         auto label = samples.index({ -1, &quot;...&quot; });</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">       10522 :         for (int i = 0; i &lt; n; ++i) {</span></span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">       30132 :             scoresKBest.push_back(mutualInformation(label, samples.index({ i, &quot;...&quot; }), weights));</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">       10044 :             featuresKBest.push_back(i);</span></span>
-<span id="L44"><span class="lineNum">      44</span>              :         }</span>
-<span id="L45"><span class="lineNum">      45</span>              :         // sort &amp; reduce scores and features</span>
-<span id="L46"><span class="lineNum">      46</span> <span class="tlaGNC">         478 :         if (ascending) {</span></span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">          94 :             sort(featuresKBest.begin(), featuresKBest.end(), [&amp;](int i, int j)</span></span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">        2088 :                 { return scoresKBest[i] &lt; scoresKBest[j]; });</span></span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">          94 :             sort(scoresKBest.begin(), scoresKBest.end(), std::less&lt;double&gt;());</span></span>
-<span id="L50"><span class="lineNum">      50</span> <span class="tlaGNC">          94 :             if (k &lt; n) {</span></span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">         154 :                 for (int i = 0; i &lt; n - k; ++i) {</span></span>
-<span id="L52"><span class="lineNum">      52</span> <span class="tlaGNC">         110 :                     featuresKBest.erase(featuresKBest.begin());</span></span>
-<span id="L53"><span class="lineNum">      53</span> <span class="tlaGNC">         110 :                     scoresKBest.erase(scoresKBest.begin());</span></span>
-<span id="L54"><span class="lineNum">      54</span>              :                 }</span>
-<span id="L55"><span class="lineNum">      55</span>              :             }</span>
-<span id="L56"><span class="lineNum">      56</span>              :         } else {</span>
-<span id="L57"><span class="lineNum">      57</span> <span class="tlaGNC">         384 :             sort(featuresKBest.begin(), featuresKBest.end(), [&amp;](int i, int j)</span></span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">       64808 :                 { return scoresKBest[i] &gt; scoresKBest[j]; });</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">         384 :             sort(scoresKBest.begin(), scoresKBest.end(), std::greater&lt;double&gt;());</span></span>
-<span id="L60"><span class="lineNum">      60</span> <span class="tlaGNC">         384 :             featuresKBest.resize(k);</span></span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">         384 :             scoresKBest.resize(k);</span></span>
-<span id="L62"><span class="lineNum">      62</span>              :         }</span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">         956 :         return featuresKBest;</span></span>
-<span id="L64"><span class="lineNum">      64</span> <span class="tlaGNC">       11000 :     }</span></span>
-<span id="L65"><span class="lineNum">      65</span> <span class="tlaGNC">          48 :     std::vector&lt;double&gt; Metrics::getScoresKBest() const</span></span>
-<span id="L66"><span class="lineNum">      66</span>              :     {</span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">          48 :         return scoresKBest;</span></span>
-<span id="L68"><span class="lineNum">      68</span>              :     }</span>
-<span id="L69"><span class="lineNum">      69</span>              : </span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">         152 :     torch::Tensor Metrics::conditionalEdge(const torch::Tensor&amp; weights)</span></span>
-<span id="L71"><span class="lineNum">      71</span>              :     {</span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">         152 :         auto result = std::vector&lt;double&gt;();</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">         152 :         auto source = std::vector&lt;std::string&gt;(features);</span></span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">         152 :         source.push_back(className);</span></span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">         152 :         auto combinations = doCombinations(source);</span></span>
-<span id="L76"><span class="lineNum">      76</span>              :         // Compute class prior</span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">         152 :         auto margin = torch::zeros({ classNumStates }, torch::kFloat);</span></span>
-<span id="L78"><span class="lineNum">      78</span> <span class="tlaGNC">         828 :         for (int value = 0; value &lt; classNumStates; ++value) {</span></span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">        2704 :             auto mask = samples.index({ -1,  &quot;...&quot; }) == value;</span></span>
-<span id="L80"><span class="lineNum">      80</span> <span class="tlaGNC">         676 :             margin[value] = mask.sum().item&lt;double&gt;() / samples.size(1);</span></span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">         676 :         }</span></span>
-<span id="L82"><span class="lineNum">      82</span> <span class="tlaGNC">        4164 :         for (auto [first, second] : combinations) {</span></span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">        4012 :             int index_first = find(features.begin(), features.end(), first) - features.begin();</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">        4012 :             int index_second = find(features.begin(), features.end(), second) - features.begin();</span></span>
-<span id="L85"><span class="lineNum">      85</span> <span class="tlaGNC">        4012 :             double accumulated = 0;</span></span>
-<span id="L86"><span class="lineNum">      86</span> <span class="tlaGNC">       23820 :             for (int value = 0; value &lt; classNumStates; ++value) {</span></span>
-<span id="L87"><span class="lineNum">      87</span> <span class="tlaGNC">       79232 :                 auto mask = samples.index({ -1, &quot;...&quot; }) == value;</span></span>
-<span id="L88"><span class="lineNum">      88</span> <span class="tlaGNC">       59424 :                 auto first_dataset = samples.index({ index_first, mask });</span></span>
-<span id="L89"><span class="lineNum">      89</span> <span class="tlaGNC">       59424 :                 auto second_dataset = samples.index({ index_second, mask });</span></span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">       39616 :                 auto weights_dataset = weights.index({ mask });</span></span>
-<span id="L91"><span class="lineNum">      91</span> <span class="tlaGNC">       39616 :                 auto mi = mutualInformation(first_dataset, second_dataset, weights_dataset);</span></span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">       19808 :                 auto pb = margin[value].item&lt;double&gt;();</span></span>
-<span id="L93"><span class="lineNum">      93</span> <span class="tlaGNC">       19808 :                 accumulated += pb * mi;</span></span>
-<span id="L94"><span class="lineNum">      94</span> <span class="tlaGNC">       19808 :             }</span></span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaGNC">        4012 :             result.push_back(accumulated);</span></span>
-<span id="L96"><span class="lineNum">      96</span> <span class="tlaGNC">        4012 :         }</span></span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaGNC">         152 :         long n_vars = source.size();</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaGNC">         152 :         auto matrix = torch::zeros({ n_vars, n_vars });</span></span>
-<span id="L99"><span class="lineNum">      99</span> <span class="tlaGNC">         152 :         auto indices = torch::triu_indices(n_vars, n_vars, 1);</span></span>
-<span id="L100"><span class="lineNum">     100</span> <span class="tlaGNC">        4164 :         for (auto i = 0; i &lt; result.size(); ++i) {</span></span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC">        4012 :             auto x = indices[0][i];</span></span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">        4012 :             auto y = indices[1][i];</span></span>
-<span id="L103"><span class="lineNum">     103</span> <span class="tlaGNC">        4012 :             matrix[x][y] = result[i];</span></span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">        4012 :             matrix[y][x] = result[i];</span></span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">        4012 :         }</span></span>
-<span id="L106"><span class="lineNum">     106</span> <span class="tlaGNC">         304 :         return matrix;</span></span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">       99868 :     }</span></span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">       41732 :     double Metrics::entropy(const torch::Tensor&amp; feature, const torch::Tensor&amp; weights)</span></span>
-<span id="L109"><span class="lineNum">     109</span>              :     {</span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">       41732 :         torch::Tensor counts = feature.bincount(weights);</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">       41732 :         double totalWeight = counts.sum().item&lt;double&gt;();</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">       41732 :         torch::Tensor probs = counts.to(torch::kFloat) / totalWeight;</span></span>
-<span id="L113"><span class="lineNum">     113</span> <span class="tlaGNC">       41732 :         torch::Tensor logProbs = torch::log(probs);</span></span>
-<span id="L114"><span class="lineNum">     114</span> <span class="tlaGNC">       41732 :         torch::Tensor entropy = -probs * logProbs;</span></span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">       83464 :         return entropy.nansum().item&lt;double&gt;();</span></span>
-<span id="L116"><span class="lineNum">     116</span> <span class="tlaGNC">       41732 :     }</span></span>
-<span id="L117"><span class="lineNum">     117</span>              :     // H(Y|X) = sum_{x in X} p(x) H(Y|X=x)</span>
-<span id="L118"><span class="lineNum">     118</span> <span class="tlaGNC">       34276 :     double Metrics::conditionalEntropy(const torch::Tensor&amp; firstFeature, const torch::Tensor&amp; secondFeature, const torch::Tensor&amp; weights)</span></span>
-<span id="L119"><span class="lineNum">     119</span>              :     {</span>
-<span id="L120"><span class="lineNum">     120</span> <span class="tlaGNC">       34276 :         int numSamples = firstFeature.sizes()[0];</span></span>
-<span id="L121"><span class="lineNum">     121</span> <span class="tlaGNC">       34276 :         torch::Tensor featureCounts = secondFeature.bincount(weights);</span></span>
-<span id="L122"><span class="lineNum">     122</span> <span class="tlaGNC">       34276 :         std::unordered_map&lt;int, std::unordered_map&lt;int, double&gt;&gt; jointCounts;</span></span>
-<span id="L123"><span class="lineNum">     123</span> <span class="tlaGNC">       34276 :         double totalWeight = 0;</span></span>
-<span id="L124"><span class="lineNum">     124</span> <span class="tlaGNC">     6993324 :         for (auto i = 0; i &lt; numSamples; i++) {</span></span>
-<span id="L125"><span class="lineNum">     125</span> <span class="tlaGNC">     6959048 :             jointCounts[secondFeature[i].item&lt;int&gt;()][firstFeature[i].item&lt;int&gt;()] += weights[i].item&lt;double&gt;();</span></span>
-<span id="L126"><span class="lineNum">     126</span> <span class="tlaGNC">     6959048 :             totalWeight += weights[i].item&lt;float&gt;();</span></span>
-<span id="L127"><span class="lineNum">     127</span>              :         }</span>
-<span id="L128"><span class="lineNum">     128</span> <span class="tlaGNC">       34276 :         if (totalWeight == 0)</span></span>
-<span id="L129"><span class="lineNum">     129</span> <span class="tlaUNC tlaBgUNC">           0 :             return 0;</span></span>
-<span id="L130"><span class="lineNum">     130</span> <span class="tlaGNC tlaBgGNC">       34276 :         double entropyValue = 0;</span></span>
-<span id="L131"><span class="lineNum">     131</span> <span class="tlaGNC">      168251 :         for (int value = 0; value &lt; featureCounts.sizes()[0]; ++value) {</span></span>
-<span id="L132"><span class="lineNum">     132</span> <span class="tlaGNC">      133975 :             double p_f = featureCounts[value].item&lt;double&gt;() / totalWeight;</span></span>
-<span id="L133"><span class="lineNum">     133</span> <span class="tlaGNC">      133975 :             double entropy_f = 0;</span></span>
-<span id="L134"><span class="lineNum">     134</span> <span class="tlaGNC">      454356 :             for (auto&amp; [label, jointCount] : jointCounts[value]) {</span></span>
-<span id="L135"><span class="lineNum">     135</span> <span class="tlaGNC">      320381 :                 double p_l_f = jointCount / featureCounts[value].item&lt;double&gt;();</span></span>
-<span id="L136"><span class="lineNum">     136</span> <span class="tlaGNC">      320381 :                 if (p_l_f &gt; 0) {</span></span>
-<span id="L137"><span class="lineNum">     137</span> <span class="tlaGNC">      320381 :                     entropy_f -= p_l_f * log(p_l_f);</span></span>
-<span id="L138"><span class="lineNum">     138</span>              :                 } else {</span>
-<span id="L139"><span class="lineNum">     139</span> <span class="tlaUNC tlaBgUNC">           0 :                     entropy_f = 0;</span></span>
-<span id="L140"><span class="lineNum">     140</span>              :                 }</span>
-<span id="L141"><span class="lineNum">     141</span>              :             }</span>
-<span id="L142"><span class="lineNum">     142</span> <span class="tlaGNC tlaBgGNC">      133975 :             entropyValue += p_f * entropy_f;</span></span>
-<span id="L143"><span class="lineNum">     143</span>              :         }</span>
-<span id="L144"><span class="lineNum">     144</span> <span class="tlaGNC">       34276 :         return entropyValue;</span></span>
-<span id="L145"><span class="lineNum">     145</span> <span class="tlaGNC">       34276 :     }</span></span>
-<span id="L146"><span class="lineNum">     146</span>              :     // I(X;Y) = H(Y) - H(Y|X)</span>
-<span id="L147"><span class="lineNum">     147</span> <span class="tlaGNC">       34276 :     double Metrics::mutualInformation(const torch::Tensor&amp; firstFeature, const torch::Tensor&amp; secondFeature, const torch::Tensor&amp; weights)</span></span>
-<span id="L148"><span class="lineNum">     148</span>              :     {</span>
-<span id="L149"><span class="lineNum">     149</span> <span class="tlaGNC">       34276 :         return entropy(firstFeature, weights) - conditionalEntropy(firstFeature, secondFeature, weights);</span></span>
-<span id="L150"><span class="lineNum">     150</span>              :     }</span>
-<span id="L151"><span class="lineNum">     151</span>              :     /*</span>
-<span id="L152"><span class="lineNum">     152</span>              :     Compute the maximum spanning tree considering the weights as distances</span>
-<span id="L153"><span class="lineNum">     153</span>              :     and the indices of the weights as nodes of this square matrix using</span>
-<span id="L154"><span class="lineNum">     154</span>              :     Kruskal algorithm</span>
-<span id="L155"><span class="lineNum">     155</span>              :     */</span>
-<span id="L156"><span class="lineNum">     156</span> <span class="tlaGNC">         148 :     std::vector&lt;std::pair&lt;int, int&gt;&gt; Metrics::maximumSpanningTree(const std::vector&lt;std::string&gt;&amp; features, const torch::Tensor&amp; weights, const int root)</span></span>
-<span id="L157"><span class="lineNum">     157</span>              :     {</span>
-<span id="L158"><span class="lineNum">     158</span> <span class="tlaGNC">         148 :         auto mst = MST(features, weights, root);</span></span>
-<span id="L159"><span class="lineNum">     159</span> <span class="tlaGNC">         296 :         return mst.maximumSpanningTree();</span></span>
-<span id="L160"><span class="lineNum">     160</span> <span class="tlaGNC">         148 :     }</span></span>
-<span id="L161"><span class="lineNum">     161</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.cc.gcov.overview.html b/html/bayesnet/utils/BayesMetrics.cc.gcov.overview.html
deleted file mode 100644
index 3c88dcb..0000000
--- a/html/bayesnet/utils/BayesMetrics.cc.gcov.overview.html
+++ /dev/null
@@ -1,61 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="BayesMetrics.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="BayesMetrics.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="BayesMetrics.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="BayesMetrics.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="BayesMetrics.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="BayesMetrics.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="BayesMetrics.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="BayesMetrics.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="BayesMetrics.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="BayesMetrics.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="BayesMetrics.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="BayesMetrics.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="BayesMetrics.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="BayesMetrics.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="BayesMetrics.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="BayesMetrics.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="BayesMetrics.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="BayesMetrics.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="BayesMetrics.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="BayesMetrics.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="BayesMetrics.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="BayesMetrics.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="BayesMetrics.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="BayesMetrics.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="BayesMetrics.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="BayesMetrics.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="BayesMetrics.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="BayesMetrics.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="BayesMetrics.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="BayesMetrics.cc.gcov.html#L105" target="source" alt="overview">
-            <area shape="rect" coords="0,120,79,123" href="BayesMetrics.cc.gcov.html#L109" target="source" alt="overview">
-            <area shape="rect" coords="0,124,79,127" href="BayesMetrics.cc.gcov.html#L113" target="source" alt="overview">
-            <area shape="rect" coords="0,128,79,131" href="BayesMetrics.cc.gcov.html#L117" target="source" alt="overview">
-            <area shape="rect" coords="0,132,79,135" href="BayesMetrics.cc.gcov.html#L121" target="source" alt="overview">
-            <area shape="rect" coords="0,136,79,139" href="BayesMetrics.cc.gcov.html#L125" target="source" alt="overview">
-            <area shape="rect" coords="0,140,79,143" href="BayesMetrics.cc.gcov.html#L129" target="source" alt="overview">
-            <area shape="rect" coords="0,144,79,147" href="BayesMetrics.cc.gcov.html#L133" target="source" alt="overview">
-            <area shape="rect" coords="0,148,79,151" href="BayesMetrics.cc.gcov.html#L137" target="source" alt="overview">
-            <area shape="rect" coords="0,152,79,155" href="BayesMetrics.cc.gcov.html#L141" target="source" alt="overview">
-            <area shape="rect" coords="0,156,79,159" href="BayesMetrics.cc.gcov.html#L145" target="source" alt="overview">
-            <area shape="rect" coords="0,160,79,163" href="BayesMetrics.cc.gcov.html#L149" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="BayesMetrics.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="BayesMetrics.cc.gcov.png" width=80 height=160 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/utils/BayesMetrics.cc.gcov.png b/html/bayesnet/utils/BayesMetrics.cc.gcov.png
deleted file mode 100644
index 30f9de1091316dd69e9e517a0c9d6d999ab68f5a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 965
zcmV;$13LVPP)<h;3K|Lk000e1NJLTq002+`005x`0{{R3qVXjn0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<UQ%OWY
zR9J=8S=W){FbuUipj!|+09)AWVBLQ!Cov$9AO!m3W{#e*6`nxkAiv(n+h4D?6!55D
z>H1FnLK=WcJZvsSG12o6K##}p>N13Zg~caeQN<CWnQp2_dE`j9@H6@I%)FrfU^@nJ
z>jIu9_Oo-nG|+(#z&OPv`~srG*>}LI5Yh&ellzkmpw?qw*uHSm<BZLS75|^;@sj%@
z2>^&h`qB{^K&c|YTces8AgRM!i)ROVbhvA4%O*tazJYOyB@RpcrBow)5#3doON)I!
zSL#bn7&UAGFFw%=RRV?--i47_*bye^j}NXWfwzT$3{fJ|1hPNQjwpd@^U)EjlV%HO
zlHAtg?Gep47R9A(+_H{K(c)1{19wvCz?uYlu19(TJ&LI4b&GW%+{zB{D6M1L=f#Jn
zZ7>EzgW{8Qn%Z68=9MBv*x>KqSjKYPh13&prJjfm2`J?7fZM4#tD1oW`OV7Jd32uH
zOZK7Fg&9k+?7qGc287Spc3c2wJB_K?_a0IsF31rOa&IhmgdxR%<b{*{ol#H)OqMB=
zJRDR^)rJA)l#*v*#2EqOq0m}C6m(V%63%;b$-A#>AQ!~U{#5s2VOj}+1;c`(uSw3~
zgC>h<kbOh}HJi}MmfAf7_0EKxfs!N|RUwy}G%Ue|2OLuhX|f86P6rTi3%mJP0XH(P
zjF~X7g(MnMx0|{fuJ{31d<MCJ#kpnSC?t@>;}($JA<*qT0(VQ?6L6=*8PN=xX2){6
zUE&%oZAL5E_dKzT1x-;$4aiD5Y%OS-Re^xWj4p(kre#CwxWaoJlsbUMwjF4UgtA&!
zee93Tqq@yzSno6Cv=J!L!UB!{XzL}zW?WnIls`&|C4s2*X;6$uVJ|6bS<cr_S)b46
z&+m`7hPH4$J+GS&p>wSs7(=UCpczI1UDL=80J0IbM!n|Q*=YPkEvx~toaBa?3&lvj
z02+lr16lW%bw0nppOt0$fp5SI7@p!-kUEB;AqWZc#o*%tx04irk?j=F$d273=x4ut
z2%2E}&(4Gteuw_<FGdpo2f&vOeq$o8m3LFA9@EPe{==ZrdUT8+k3-6XS^M-JcXNsZ
nHdhv1wPzXIHR4;xVCVT4YZZ~Bs2nN800000NkvXXu0mjf8EwHF

diff --git a/html/bayesnet/utils/BayesMetrics.h.func-c.html b/html/bayesnet/utils/BayesMetrics.h.func-c.html
deleted file mode 100644
index e1f2f23..0000000
--- a/html/bayesnet/utils/BayesMetrics.h.func-c.html
+++ /dev/null
@@ -1,118 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - BayesMetrics.h<span style="font-size: 80%;"> (<a href="BayesMetrics.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">13</td>
-            <td class="headerCovTableEntry">13</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="BayesMetrics.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.h.gcov.html#L39">int bayesnet::Metrics::pop_first&lt;int&gt;(std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">94</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.h.gcov.html#L27">std::vector&lt;std::pair&lt;int, int&gt;, std::allocator&lt;std::pair&lt;int, int&gt; &gt; &gt; bayesnet::Metrics::doCombinations&lt;int&gt;(std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">1391</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFnAlias"><a href="BayesMetrics.h.gcov.html#L27">std::vector<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > > bayesnet::Metrics::doCombinations<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&)</a></td>
-              
-              <td class="coverFnAliasHi">152</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFnAlias"><a href="BayesMetrics.h.gcov.html#L27">std::vector<std::pair<int, int>, std::allocator<std::pair<int, int> > > bayesnet::Metrics::doCombinations<int>(std::vector<int, std::allocator<int> > const&)</a></td>
-              
-              <td class="coverFnAliasHi">1239</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.h.gcov.html#L13">bayesnet::Metrics::Metrics()</a></td>
-              
-              <td class="coverFnHi">2240</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.h.func.html b/html/bayesnet/utils/BayesMetrics.h.func.html
deleted file mode 100644
index 9e066cc..0000000
--- a/html/bayesnet/utils/BayesMetrics.h.func.html
+++ /dev/null
@@ -1,118 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - BayesMetrics.h<span style="font-size: 80%;"> (<a href="BayesMetrics.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">13</td>
-            <td class="headerCovTableEntry">13</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="BayesMetrics.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.h.gcov.html#L13">bayesnet::Metrics::Metrics()</a></td>
-              
-              <td class="coverFnHi">2240</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.h.gcov.html#L39">int bayesnet::Metrics::pop_first&lt;int&gt;(std::vector&lt;int, std::allocator&lt;int&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">94</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="BayesMetrics.h.gcov.html#L27">std::vector&lt;std::pair&lt;int, int&gt;, std::allocator&lt;std::pair&lt;int, int&gt; &gt; &gt; bayesnet::Metrics::doCombinations&lt;int&gt;(std::vector&lt;int, std::allocator&lt;int&gt; &gt; const&amp;)</a></td>
-              
-              <td class="coverFnHi">1391</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFnAlias"><a href="BayesMetrics.h.gcov.html#L27">std::vector<std::pair<int, int>, std::allocator<std::pair<int, int> > > bayesnet::Metrics::doCombinations<int>(std::vector<int, std::allocator<int> > const&)</a></td>
-              
-              <td class="coverFnAliasHi">1239</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFnAlias"><a href="BayesMetrics.h.gcov.html#L27">std::vector<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > > bayesnet::Metrics::doCombinations<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&)</a></td>
-              
-              <td class="coverFnAliasHi">152</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.h.gcov.frameset.html b/html/bayesnet/utils/BayesMetrics.h.gcov.frameset.html
deleted file mode 100644
index 81a526c..0000000
--- a/html/bayesnet/utils/BayesMetrics.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="BayesMetrics.h.gcov.overview.html" name="overview">
-          <frame src="BayesMetrics.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/utils/BayesMetrics.h.gcov.html b/html/bayesnet/utils/BayesMetrics.h.gcov.html
deleted file mode 100644
index 1ac7634..0000000
--- a/html/bayesnet/utils/BayesMetrics.h.gcov.html
+++ /dev/null
@@ -1,138 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - BayesMetrics.h<span style="font-size: 80%;"> (source / <a href="BayesMetrics.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">13</td>
-            <td class="headerCovTableEntry">13</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef BAYESNET_METRICS_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define BAYESNET_METRICS_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;vector&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;string&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class Metrics {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC tlaBgGNC">        2240 :         Metrics() = default;</span></span>
-<span id="L16"><span class="lineNum">      16</span>              :         Metrics(const torch::Tensor&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int classNumStates);</span>
-<span id="L17"><span class="lineNum">      17</span>              :         Metrics(const std::vector&lt;std::vector&lt;int&gt;&gt;&amp; vsamples, const std::vector&lt;int&gt;&amp; labels, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int classNumStates);</span>
-<span id="L18"><span class="lineNum">      18</span>              :         std::vector&lt;int&gt; SelectKBestWeighted(const torch::Tensor&amp; weights, bool ascending = false, unsigned k = 0);</span>
-<span id="L19"><span class="lineNum">      19</span>              :         std::vector&lt;double&gt; getScoresKBest() const;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         double mutualInformation(const torch::Tensor&amp; firstFeature, const torch::Tensor&amp; secondFeature, const torch::Tensor&amp; weights);</span>
-<span id="L21"><span class="lineNum">      21</span>              :         torch::Tensor conditionalEdge(const torch::Tensor&amp; weights);</span>
-<span id="L22"><span class="lineNum">      22</span>              :         std::vector&lt;std::pair&lt;int, int&gt;&gt; maximumSpanningTree(const std::vector&lt;std::string&gt;&amp; features, const torch::Tensor&amp; weights, const int root);</span>
-<span id="L23"><span class="lineNum">      23</span>              :     protected:</span>
-<span id="L24"><span class="lineNum">      24</span>              :         torch::Tensor samples; // n+1xm torch::Tensor used to fit the model where samples[-1] is the y std::vector</span>
-<span id="L25"><span class="lineNum">      25</span>              :         std::string className;</span>
-<span id="L26"><span class="lineNum">      26</span>              :         double entropy(const torch::Tensor&amp; feature, const torch::Tensor&amp; weights);</span>
-<span id="L27"><span class="lineNum">      27</span>              :         std::vector&lt;std::string&gt; features;</span>
-<span id="L28"><span class="lineNum">      28</span>              :         template &lt;class T&gt;</span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">        1391 :         std::vector&lt;std::pair&lt;T, T&gt;&gt; doCombinations(const std::vector&lt;T&gt;&amp; source)</span></span>
-<span id="L30"><span class="lineNum">      30</span>              :         {</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">        1391 :             std::vector&lt;std::pair&lt;T, T&gt;&gt; result;</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">        6981 :             for (int i = 0; i &lt; source.size(); ++i) {</span></span>
-<span id="L33"><span class="lineNum">      33</span> <span class="tlaGNC">        5590 :                 T temp = source[i];</span></span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">       16517 :                 for (int j = i + 1; j &lt; source.size(); ++j) {</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">       10927 :                     result.push_back({ temp, source[j] });</span></span>
-<span id="L36"><span class="lineNum">      36</span>              :                 }</span>
-<span id="L37"><span class="lineNum">      37</span>              :             }</span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">        2782 :             return result;</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">        1391 :         }</span></span>
-<span id="L40"><span class="lineNum">      40</span>              :         template &lt;class T&gt;</span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">          94 :         T pop_first(std::vector&lt;T&gt;&amp; v)</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :         {</span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">          94 :             T temp = v[0];</span></span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">          94 :             v.erase(v.begin());</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">          94 :             return temp;</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :         }</span>
-<span id="L47"><span class="lineNum">      47</span>              :     private:</span>
-<span id="L48"><span class="lineNum">      48</span>              :         int classNumStates = 0;</span>
-<span id="L49"><span class="lineNum">      49</span>              :         std::vector&lt;double&gt; scoresKBest;</span>
-<span id="L50"><span class="lineNum">      50</span>              :         std::vector&lt;int&gt; featuresKBest; // sorted indices of the features</span>
-<span id="L51"><span class="lineNum">      51</span>              :         double conditionalEntropy(const torch::Tensor&amp; firstFeature, const torch::Tensor&amp; secondFeature, const torch::Tensor&amp; weights);</span>
-<span id="L52"><span class="lineNum">      52</span>              :     };</span>
-<span id="L53"><span class="lineNum">      53</span>              : }</span>
-<span id="L54"><span class="lineNum">      54</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/BayesMetrics.h.gcov.overview.html b/html/bayesnet/utils/BayesMetrics.h.gcov.overview.html
deleted file mode 100644
index df94876..0000000
--- a/html/bayesnet/utils/BayesMetrics.h.gcov.overview.html
+++ /dev/null
@@ -1,34 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/BayesMetrics.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="BayesMetrics.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="BayesMetrics.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="BayesMetrics.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="BayesMetrics.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="BayesMetrics.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="BayesMetrics.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="BayesMetrics.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="BayesMetrics.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="BayesMetrics.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="BayesMetrics.h.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="BayesMetrics.h.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="BayesMetrics.h.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="BayesMetrics.h.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="BayesMetrics.h.gcov.html#L41" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="BayesMetrics.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="BayesMetrics.h.gcov.png" width=80 height=53 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/utils/BayesMetrics.h.gcov.png b/html/bayesnet/utils/BayesMetrics.h.gcov.png
deleted file mode 100644
index e051d4ef66a1d22a8036d1f1885f42e82956c56f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 417
zcmeAS@N?(olHy`uVBq!ia0vp^0YGfV!VDxAO=7+Yq$C1-LR|m<|Gx?dmcNgUef6J#
zVHHpuOr7)IycEdhEbxddW?<ku0>X?_wfUqO7#Q_ET^vI^I@gBYl{~D#afP>_bw}gP
z`t3;}bv;~f!{vM~$sKQ8pm?-o+XY|7<Y<O)3Ht*qED!gX9OZbD&)_e0*KL>X`}~If
zGqqy-na;AfZw%g|;mq75X<fmxC^o}9O0#tDHaCZsZO7-{{{7?4|3Ifr?^Zpp@?|l2
z`A^_&cytKkOp|rOb51P!#B}kBey>8T$>K-RnX(4%M@wID1j*Dnil1~SFxV^<yXU&b
z{w?!Ot_jIA7YFxDJF!Ug$4`dS`*xSiUTabAkaFH~`XS%QQ(PSnwLb}#@c7P&zIMRQ
zDdn`yeQh`G&vCxT_XOPt^?i2XUDJ1-uCpuB|MD-)jL%VE-`1FZNZ(|e;|B9(XL)25
zKkk|Sd1f+GW>4~dh7YcH9W{NYZ~T<a?%4WM=;Iw3<u%;j86#q5Y6^W|y$1|W22WQ%
Jmvv4FO#qm5t$+Xk

diff --git a/html/bayesnet/utils/Mst.cc.func-c.html b/html/bayesnet/utils/Mst.cc.func-c.html
deleted file mode 100644
index 5525d06..0000000
--- a/html/bayesnet/utils/Mst.cc.func-c.html
+++ /dev/null
@@ -1,153 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - Mst.cc<span style="font-size: 80%;"> (<a href="Mst.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">94.1&nbsp;%</td>
-            <td class="headerCovTableEntry">68</td>
-            <td class="headerCovTableEntry">64</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">10</td>
-            <td class="headerCovTableEntry">10</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Mst.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L15">bayesnet::Graph::Graph(int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L39">bayesnet::Graph::kruskal_algorithm()</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L102">bayesnet::MST::MST(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L103">bayesnet::MST::maximumSpanningTree()</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L61">bayesnet::reorder(std::vector&lt;std::pair&lt;float, std::pair&lt;int, int&gt; &gt;, std::allocator&lt;std::pair&lt;float, std::pair&lt;int, int&gt; &gt; &gt; &gt;, int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L35">bayesnet::Graph::union_set(int, int)</a></td>
-              
-              <td class="coverFnHi">828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L54">bayesnet::insertElement(std::__cxx11::list&lt;int, std::allocator&lt;int&gt; &gt;&amp;, int)</a></td>
-              
-              <td class="coverFnHi">828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L22">bayesnet::Graph::addEdge(int, int, float)</a></td>
-              
-              <td class="coverFnHi">3032</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L42">auto bayesnet::Graph::kruskal_algorithm()::{lambda(auto:1 const&amp;, auto:2 const&amp;)#1}::operator()&lt;std::pair&lt;float, std::pair&lt;int, int&gt; &gt;, std::pair&lt;float, std::pair&lt;int, int&gt; &gt; &gt;(std::pair&lt;float, std::pair&lt;int, int&gt; &gt; const&amp;, std::pair&lt;float, std::pair&lt;int, int&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">11716</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L26">bayesnet::Graph::find_set(int)</a></td>
-              
-              <td class="coverFnHi">14076</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/Mst.cc.func.html b/html/bayesnet/utils/Mst.cc.func.html
deleted file mode 100644
index 166f248..0000000
--- a/html/bayesnet/utils/Mst.cc.func.html
+++ /dev/null
@@ -1,153 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - Mst.cc<span style="font-size: 80%;"> (<a href="Mst.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">94.1&nbsp;%</td>
-            <td class="headerCovTableEntry">68</td>
-            <td class="headerCovTableEntry">64</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">10</td>
-            <td class="headerCovTableEntry">10</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Mst.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L42">auto bayesnet::Graph::kruskal_algorithm()::{lambda(auto:1 const&amp;, auto:2 const&amp;)#1}::operator()&lt;std::pair&lt;float, std::pair&lt;int, int&gt; &gt;, std::pair&lt;float, std::pair&lt;int, int&gt; &gt; &gt;(std::pair&lt;float, std::pair&lt;int, int&gt; &gt; const&amp;, std::pair&lt;float, std::pair&lt;int, int&gt; &gt; const&amp;) const</a></td>
-              
-              <td class="coverFnHi">11716</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L15">bayesnet::Graph::Graph(int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L22">bayesnet::Graph::addEdge(int, int, float)</a></td>
-              
-              <td class="coverFnHi">3032</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L26">bayesnet::Graph::find_set(int)</a></td>
-              
-              <td class="coverFnHi">14076</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L39">bayesnet::Graph::kruskal_algorithm()</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L35">bayesnet::Graph::union_set(int, int)</a></td>
-              
-              <td class="coverFnHi">828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L102">bayesnet::MST::MST(std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt; const&amp;, at::Tensor const&amp;, int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L103">bayesnet::MST::maximumSpanningTree()</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L54">bayesnet::insertElement(std::__cxx11::list&lt;int, std::allocator&lt;int&gt; &gt;&amp;, int)</a></td>
-              
-              <td class="coverFnHi">828</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.cc.gcov.html#L61">bayesnet::reorder(std::vector&lt;std::pair&lt;float, std::pair&lt;int, int&gt; &gt;, std::allocator&lt;std::pair&lt;float, std::pair&lt;int, int&gt; &gt; &gt; &gt;, int)</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/Mst.cc.gcov.frameset.html b/html/bayesnet/utils/Mst.cc.gcov.frameset.html
deleted file mode 100644
index d702859..0000000
--- a/html/bayesnet/utils/Mst.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Mst.cc.gcov.overview.html" name="overview">
-          <frame src="Mst.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/utils/Mst.cc.gcov.html b/html/bayesnet/utils/Mst.cc.gcov.html
deleted file mode 100644
index e567440..0000000
--- a/html/bayesnet/utils/Mst.cc.gcov.html
+++ /dev/null
@@ -1,204 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - Mst.cc<span style="font-size: 80%;"> (source / <a href="Mst.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">94.1&nbsp;%</td>
-            <td class="headerCovTableEntry">68</td>
-            <td class="headerCovTableEntry">64</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">10</td>
-            <td class="headerCovTableEntry">10</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #include &lt;sstream&gt;</span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &lt;vector&gt;</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;list&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &quot;Mst.h&quot;</span>
-<span id="L11"><span class="lineNum">      11</span>              : /*</span>
-<span id="L12"><span class="lineNum">      12</span>              :     Based on the code from https://www.softwaretestinghelp.com/minimum-spanning-tree-tutorial/</span>
-<span id="L13"><span class="lineNum">      13</span>              : </span>
-<span id="L14"><span class="lineNum">      14</span>              : */</span>
-<span id="L15"><span class="lineNum">      15</span>              : </span>
-<span id="L16"><span class="lineNum">      16</span>              : namespace bayesnet {</span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC tlaBgGNC">         296 :     Graph::Graph(int V) : V(V), parent(std::vector&lt;int&gt;(V))</span></span>
-<span id="L18"><span class="lineNum">      18</span>              :     {</span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">        1124 :         for (int i = 0; i &lt; V; i++)</span></span>
-<span id="L20"><span class="lineNum">      20</span> <span class="tlaGNC">         976 :             parent[i] = i;</span></span>
-<span id="L21"><span class="lineNum">      21</span> <span class="tlaGNC">         148 :         G.clear();</span></span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">         148 :         T.clear();</span></span>
-<span id="L23"><span class="lineNum">      23</span> <span class="tlaGNC">         148 :     }</span></span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">        3032 :     void Graph::addEdge(int u, int v, float wt)</span></span>
-<span id="L25"><span class="lineNum">      25</span>              :     {</span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">        3032 :         G.push_back({ wt, { u, v } });</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">        3032 :     }</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">       14076 :     int Graph::find_set(int i)</span></span>
-<span id="L29"><span class="lineNum">      29</span>              :     {</span>
-<span id="L30"><span class="lineNum">      30</span>              :         // If i is the parent of itself</span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">       14076 :         if (i == parent[i])</span></span>
-<span id="L32"><span class="lineNum">      32</span> <span class="tlaGNC">        6064 :             return i;</span></span>
-<span id="L33"><span class="lineNum">      33</span>              :         else</span>
-<span id="L34"><span class="lineNum">      34</span>              :             //else recursively find the parent of i</span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">        8012 :             return find_set(parent[i]);</span></span>
-<span id="L36"><span class="lineNum">      36</span>              :     }</span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">         828 :     void Graph::union_set(int u, int v)</span></span>
-<span id="L38"><span class="lineNum">      38</span>              :     {</span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">         828 :         parent[u] = parent[v];</span></span>
-<span id="L40"><span class="lineNum">      40</span> <span class="tlaGNC">         828 :     }</span></span>
-<span id="L41"><span class="lineNum">      41</span> <span class="tlaGNC">         148 :     void Graph::kruskal_algorithm()</span></span>
-<span id="L42"><span class="lineNum">      42</span>              :     {</span>
-<span id="L43"><span class="lineNum">      43</span>              :         // sort the edges ordered on decreasing weight</span>
-<span id="L44"><span class="lineNum">      44</span> <span class="tlaGNC">       11864 :         stable_sort(G.begin(), G.end(), [](const auto&amp; left, const auto&amp; right) {return left.first &gt; right.first;});</span></span>
-<span id="L45"><span class="lineNum">      45</span> <span class="tlaGNC">        3180 :         for (int i = 0; i &lt; G.size(); i++) {</span></span>
-<span id="L46"><span class="lineNum">      46</span>              :             int uSt, vEd;</span>
-<span id="L47"><span class="lineNum">      47</span> <span class="tlaGNC">        3032 :             uSt = find_set(G[i].second.first);</span></span>
-<span id="L48"><span class="lineNum">      48</span> <span class="tlaGNC">        3032 :             vEd = find_set(G[i].second.second);</span></span>
-<span id="L49"><span class="lineNum">      49</span> <span class="tlaGNC">        3032 :             if (uSt != vEd) {</span></span>
-<span id="L50"><span class="lineNum">      50</span> <span class="tlaGNC">         828 :                 T.push_back(G[i]); // add to mst std::vector</span></span>
-<span id="L51"><span class="lineNum">      51</span> <span class="tlaGNC">         828 :                 union_set(uSt, vEd);</span></span>
-<span id="L52"><span class="lineNum">      52</span>              :             }</span>
-<span id="L53"><span class="lineNum">      53</span>              :         }</span>
-<span id="L54"><span class="lineNum">      54</span> <span class="tlaGNC">         148 :     }</span></span>
-<span id="L55"><span class="lineNum">      55</span>              : </span>
-<span id="L56"><span class="lineNum">      56</span> <span class="tlaGNC">         828 :     void insertElement(std::list&lt;int&gt;&amp; variables, int variable)</span></span>
-<span id="L57"><span class="lineNum">      57</span>              :     {</span>
-<span id="L58"><span class="lineNum">      58</span> <span class="tlaGNC">         828 :         if (std::find(variables.begin(), variables.end(), variable) == variables.end()) {</span></span>
-<span id="L59"><span class="lineNum">      59</span> <span class="tlaGNC">         828 :             variables.push_front(variable);</span></span>
-<span id="L60"><span class="lineNum">      60</span>              :         }</span>
-<span id="L61"><span class="lineNum">      61</span> <span class="tlaGNC">         828 :     }</span></span>
-<span id="L62"><span class="lineNum">      62</span>              : </span>
-<span id="L63"><span class="lineNum">      63</span> <span class="tlaGNC">         148 :     std::vector&lt;std::pair&lt;int, int&gt;&gt; reorder(std::vector&lt;std::pair&lt;float, std::pair&lt;int, int&gt;&gt;&gt; T, int root_original)</span></span>
-<span id="L64"><span class="lineNum">      64</span>              :     {</span>
-<span id="L65"><span class="lineNum">      65</span>              :         // Create the edges of a DAG from the MST</span>
-<span id="L66"><span class="lineNum">      66</span>              :         // replacing unordered_set with list because unordered_set cannot guarantee the order of the elements inserted</span>
-<span id="L67"><span class="lineNum">      67</span> <span class="tlaGNC">         148 :         auto result = std::vector&lt;std::pair&lt;int, int&gt;&gt;();</span></span>
-<span id="L68"><span class="lineNum">      68</span> <span class="tlaGNC">         148 :         auto visited = std::vector&lt;int&gt;();</span></span>
-<span id="L69"><span class="lineNum">      69</span> <span class="tlaGNC">         148 :         auto nextVariables = std::list&lt;int&gt;();</span></span>
-<span id="L70"><span class="lineNum">      70</span> <span class="tlaGNC">         148 :         nextVariables.push_front(root_original);</span></span>
-<span id="L71"><span class="lineNum">      71</span> <span class="tlaGNC">        1124 :         while (nextVariables.size() &gt; 0) {</span></span>
-<span id="L72"><span class="lineNum">      72</span> <span class="tlaGNC">         976 :             int root = nextVariables.front();</span></span>
-<span id="L73"><span class="lineNum">      73</span> <span class="tlaGNC">         976 :             nextVariables.pop_front();</span></span>
-<span id="L74"><span class="lineNum">      74</span> <span class="tlaGNC">        3464 :             for (int i = 0; i &lt; T.size(); ++i) {</span></span>
-<span id="L75"><span class="lineNum">      75</span> <span class="tlaGNC">        2488 :                 auto [weight, edge] = T[i];</span></span>
-<span id="L76"><span class="lineNum">      76</span> <span class="tlaGNC">        2488 :                 auto [from, to] = edge;</span></span>
-<span id="L77"><span class="lineNum">      77</span> <span class="tlaGNC">        2488 :                 if (from == root || to == root) {</span></span>
-<span id="L78"><span class="lineNum">      78</span> <span class="tlaGNC">         828 :                     visited.insert(visited.begin(), i);</span></span>
-<span id="L79"><span class="lineNum">      79</span> <span class="tlaGNC">         828 :                     if (from == root) {</span></span>
-<span id="L80"><span class="lineNum">      80</span> <span class="tlaGNC">         560 :                         result.push_back({ from, to });</span></span>
-<span id="L81"><span class="lineNum">      81</span> <span class="tlaGNC">         560 :                         insertElement(nextVariables, to);</span></span>
-<span id="L82"><span class="lineNum">      82</span>              :                     } else {</span>
-<span id="L83"><span class="lineNum">      83</span> <span class="tlaGNC">         268 :                         result.push_back({ to, from });</span></span>
-<span id="L84"><span class="lineNum">      84</span> <span class="tlaGNC">         268 :                         insertElement(nextVariables, from);</span></span>
-<span id="L85"><span class="lineNum">      85</span>              :                     }</span>
-<span id="L86"><span class="lineNum">      86</span>              :                 }</span>
-<span id="L87"><span class="lineNum">      87</span>              :             }</span>
-<span id="L88"><span class="lineNum">      88</span>              :             // Remove visited</span>
-<span id="L89"><span class="lineNum">      89</span> <span class="tlaGNC">        1804 :             for (int i = 0; i &lt; visited.size(); ++i) {</span></span>
-<span id="L90"><span class="lineNum">      90</span> <span class="tlaGNC">         828 :                 T.erase(T.begin() + visited[i]);</span></span>
-<span id="L91"><span class="lineNum">      91</span>              :             }</span>
-<span id="L92"><span class="lineNum">      92</span> <span class="tlaGNC">         976 :             visited.clear();</span></span>
-<span id="L93"><span class="lineNum">      93</span>              :         }</span>
-<span id="L94"><span class="lineNum">      94</span> <span class="tlaGNC">         148 :         if (T.size() &gt; 0) {</span></span>
-<span id="L95"><span class="lineNum">      95</span> <span class="tlaUNC tlaBgUNC">           0 :             for (int i = 0; i &lt; T.size(); ++i) {</span></span>
-<span id="L96"><span class="lineNum">      96</span> <span class="tlaUNC">           0 :                 auto [weight, edge] = T[i];</span></span>
-<span id="L97"><span class="lineNum">      97</span> <span class="tlaUNC">           0 :                 auto [from, to] = edge;</span></span>
-<span id="L98"><span class="lineNum">      98</span> <span class="tlaUNC">           0 :                 result.push_back({ from, to });</span></span>
-<span id="L99"><span class="lineNum">      99</span>              :             }</span>
-<span id="L100"><span class="lineNum">     100</span>              :         }</span>
-<span id="L101"><span class="lineNum">     101</span> <span class="tlaGNC tlaBgGNC">         296 :         return result;</span></span>
-<span id="L102"><span class="lineNum">     102</span> <span class="tlaGNC">         148 :     }</span></span>
-<span id="L103"><span class="lineNum">     103</span>              : </span>
-<span id="L104"><span class="lineNum">     104</span> <span class="tlaGNC">         148 :     MST::MST(const std::vector&lt;std::string&gt;&amp; features, const torch::Tensor&amp; weights, const int root) : features(features), weights(weights), root(root) {}</span></span>
-<span id="L105"><span class="lineNum">     105</span> <span class="tlaGNC">         148 :     std::vector&lt;std::pair&lt;int, int&gt;&gt; MST::maximumSpanningTree()</span></span>
-<span id="L106"><span class="lineNum">     106</span>              :     {</span>
-<span id="L107"><span class="lineNum">     107</span> <span class="tlaGNC">         148 :         auto num_features = features.size();</span></span>
-<span id="L108"><span class="lineNum">     108</span> <span class="tlaGNC">         148 :         Graph g(num_features);</span></span>
-<span id="L109"><span class="lineNum">     109</span>              :         // Make a complete graph</span>
-<span id="L110"><span class="lineNum">     110</span> <span class="tlaGNC">         976 :         for (int i = 0; i &lt; num_features - 1; ++i) {</span></span>
-<span id="L111"><span class="lineNum">     111</span> <span class="tlaGNC">        3860 :             for (int j = i + 1; j &lt; num_features; ++j) {</span></span>
-<span id="L112"><span class="lineNum">     112</span> <span class="tlaGNC">        3032 :                 g.addEdge(i, j, weights[i][j].item&lt;float&gt;());</span></span>
-<span id="L113"><span class="lineNum">     113</span>              :             }</span>
-<span id="L114"><span class="lineNum">     114</span>              :         }</span>
-<span id="L115"><span class="lineNum">     115</span> <span class="tlaGNC">         148 :         g.kruskal_algorithm();</span></span>
-<span id="L116"><span class="lineNum">     116</span> <span class="tlaGNC">         148 :         auto mst = g.get_mst();</span></span>
-<span id="L117"><span class="lineNum">     117</span> <span class="tlaGNC">         296 :         return reorder(mst, root);</span></span>
-<span id="L118"><span class="lineNum">     118</span> <span class="tlaGNC">         148 :     }</span></span>
-<span id="L119"><span class="lineNum">     119</span>              : </span>
-<span id="L120"><span class="lineNum">     120</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/Mst.cc.gcov.overview.html b/html/bayesnet/utils/Mst.cc.gcov.overview.html
deleted file mode 100644
index a8e6cda..0000000
--- a/html/bayesnet/utils/Mst.cc.gcov.overview.html
+++ /dev/null
@@ -1,50 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Mst.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Mst.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Mst.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Mst.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Mst.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Mst.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Mst.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Mst.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Mst.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Mst.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="Mst.cc.gcov.html#L29" target="source" alt="overview">
-            <area shape="rect" coords="0,44,79,47" href="Mst.cc.gcov.html#L33" target="source" alt="overview">
-            <area shape="rect" coords="0,48,79,51" href="Mst.cc.gcov.html#L37" target="source" alt="overview">
-            <area shape="rect" coords="0,52,79,55" href="Mst.cc.gcov.html#L41" target="source" alt="overview">
-            <area shape="rect" coords="0,56,79,59" href="Mst.cc.gcov.html#L45" target="source" alt="overview">
-            <area shape="rect" coords="0,60,79,63" href="Mst.cc.gcov.html#L49" target="source" alt="overview">
-            <area shape="rect" coords="0,64,79,67" href="Mst.cc.gcov.html#L53" target="source" alt="overview">
-            <area shape="rect" coords="0,68,79,71" href="Mst.cc.gcov.html#L57" target="source" alt="overview">
-            <area shape="rect" coords="0,72,79,75" href="Mst.cc.gcov.html#L61" target="source" alt="overview">
-            <area shape="rect" coords="0,76,79,79" href="Mst.cc.gcov.html#L65" target="source" alt="overview">
-            <area shape="rect" coords="0,80,79,83" href="Mst.cc.gcov.html#L69" target="source" alt="overview">
-            <area shape="rect" coords="0,84,79,87" href="Mst.cc.gcov.html#L73" target="source" alt="overview">
-            <area shape="rect" coords="0,88,79,91" href="Mst.cc.gcov.html#L77" target="source" alt="overview">
-            <area shape="rect" coords="0,92,79,95" href="Mst.cc.gcov.html#L81" target="source" alt="overview">
-            <area shape="rect" coords="0,96,79,99" href="Mst.cc.gcov.html#L85" target="source" alt="overview">
-            <area shape="rect" coords="0,100,79,103" href="Mst.cc.gcov.html#L89" target="source" alt="overview">
-            <area shape="rect" coords="0,104,79,107" href="Mst.cc.gcov.html#L93" target="source" alt="overview">
-            <area shape="rect" coords="0,108,79,111" href="Mst.cc.gcov.html#L97" target="source" alt="overview">
-            <area shape="rect" coords="0,112,79,115" href="Mst.cc.gcov.html#L101" target="source" alt="overview">
-            <area shape="rect" coords="0,116,79,119" href="Mst.cc.gcov.html#L105" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Mst.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Mst.cc.gcov.png" width=80 height=119 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/utils/Mst.cc.gcov.png b/html/bayesnet/utils/Mst.cc.gcov.png
deleted file mode 100644
index b6f615adea99d3ac0c13cc53b54663e7324b7569..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 733
zcmV<30wVp1P)<h;3K|Lk000e1NJLTq002+`004Ld0{{R3m%wPn0000OP)t-s|NsB0
zs;a7|?_FK${{R500003000620&P%hU00009a7bBm000ie000ie0hKEb8vp<TYe_^w
zR9J<zmw}aoAPk0e1G|FR09L3Q=>Dr5gn$G{h`ndtJ*(Hx5W=58m(TjqZ6Raenl4+o
zZuuWu18&vJLt`Gd^8N(WVl-QsgB6s6<KUDl9_QecsC;h0C$5K*st5k;s5wGX$~pn}
z-IIZH-aB8L+lvLTdQxnOm*@u|cyu1T@ZOR>a2)5S9;2Ctwt?o!go%`Ngj>KQb#FgR
z54nr!0T@U7D8_r)luX(^qJq{fi5#^q6dFzjTuPDR{9bF&L!k5+V?>>=pWGay;6v1d
z7}L-rU9+Ko5e2E@zaC2=sPg?aMtOCfiXx>sZA9yM+sTv3eZ^B-0siOOPLVhm##m5I
zWjDy%Sf5V`9Mv^~fXnRU!Iyk<&)X$wG!e8QNXt#&e04DC^NkQ!=7AoKU?VenbZN<5
z1wJW-k;^P2>NeH(p{pE0%iu4ihtH##8BOYO73MNrS1QTj`sZ_F>5zC|o>T2cx2Ygq
z8!Sub4Tgf1ON)VwmB8Kvu!=A4oYK&_sc5Pgsb`$<+N0K{s=B6*hvzBLV@|q+)gWLu
z!HpLEN?>0O+;a_*&v8p*3TN__J+^~GubyP%CO;b*l*#l%H%Hepv^?%!&J@OGYQ}QG
zs=rof8cb#*rFHvEMuj{Ywh!)a0va1>?%{DR3iw64&g(jk<2=LXg%97xmV6VwOGsqT
z7Hh#%!Wc*v_~Yzh0*6jGXqE(}8`Ny??`}wJAA(%nMRc>B>(`B)yxd!j2r2{vft-ow
zsQxFZCuMehh*x0+w`fy^ARZ%MImEHGnWQInPH2J}gL!FWpD*aq+Cu*T<X~7Vm=4{e
P00000NkvXXu0mjft&mhk

diff --git a/html/bayesnet/utils/Mst.h.func-c.html b/html/bayesnet/utils/Mst.h.func-c.html
deleted file mode 100644
index 9f7a122..0000000
--- a/html/bayesnet/utils/Mst.h.func-c.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - Mst.h<span style="font-size: 80%;"> (<a href="Mst.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="Mst.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.h.gcov.html#L28">bayesnet::Graph::get_mst()</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/Mst.h.func.html b/html/bayesnet/utils/Mst.h.func.html
deleted file mode 100644
index c1c0139..0000000
--- a/html/bayesnet/utils/Mst.h.func.html
+++ /dev/null
@@ -1,90 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.h - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - Mst.h<span style="font-size: 80%;"> (<a href="Mst.h.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="Mst.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="Mst.h.gcov.html#L28">bayesnet::Graph::get_mst()</a></td>
-              
-              <td class="coverFnHi">148</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/Mst.h.gcov.frameset.html b/html/bayesnet/utils/Mst.h.gcov.frameset.html
deleted file mode 100644
index 1290886..0000000
--- a/html/bayesnet/utils/Mst.h.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.h</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="Mst.h.gcov.overview.html" name="overview">
-          <frame src="Mst.h.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/utils/Mst.h.gcov.html b/html/bayesnet/utils/Mst.h.gcov.html
deleted file mode 100644
index de46cc2..0000000
--- a/html/bayesnet/utils/Mst.h.gcov.html
+++ /dev/null
@@ -1,122 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.h</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - Mst.h<span style="font-size: 80%;"> (source / <a href="Mst.h.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1</td>
-            <td class="headerCovTableEntry">1</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : #ifndef MST_H</span>
-<span id="L8"><span class="lineNum">       8</span>              : #define MST_H</span>
-<span id="L9"><span class="lineNum">       9</span>              : #include &lt;vector&gt;</span>
-<span id="L10"><span class="lineNum">      10</span>              : #include &lt;string&gt;</span>
-<span id="L11"><span class="lineNum">      11</span>              : #include &lt;torch/torch.h&gt;</span>
-<span id="L12"><span class="lineNum">      12</span>              : namespace bayesnet {</span>
-<span id="L13"><span class="lineNum">      13</span>              :     class MST {</span>
-<span id="L14"><span class="lineNum">      14</span>              :     public:</span>
-<span id="L15"><span class="lineNum">      15</span>              :         MST() = default;</span>
-<span id="L16"><span class="lineNum">      16</span>              :         MST(const std::vector&lt;std::string&gt;&amp; features, const torch::Tensor&amp; weights, const int root);</span>
-<span id="L17"><span class="lineNum">      17</span>              :         std::vector&lt;std::pair&lt;int, int&gt;&gt; maximumSpanningTree();</span>
-<span id="L18"><span class="lineNum">      18</span>              :     private:</span>
-<span id="L19"><span class="lineNum">      19</span>              :         torch::Tensor weights;</span>
-<span id="L20"><span class="lineNum">      20</span>              :         std::vector&lt;std::string&gt; features;</span>
-<span id="L21"><span class="lineNum">      21</span>              :         int root = 0;</span>
-<span id="L22"><span class="lineNum">      22</span>              :     };</span>
-<span id="L23"><span class="lineNum">      23</span>              :     class Graph {</span>
-<span id="L24"><span class="lineNum">      24</span>              :     public:</span>
-<span id="L25"><span class="lineNum">      25</span>              :         explicit Graph(int V);</span>
-<span id="L26"><span class="lineNum">      26</span>              :         void addEdge(int u, int v, float wt);</span>
-<span id="L27"><span class="lineNum">      27</span>              :         int find_set(int i);</span>
-<span id="L28"><span class="lineNum">      28</span>              :         void union_set(int u, int v);</span>
-<span id="L29"><span class="lineNum">      29</span>              :         void kruskal_algorithm();</span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC tlaBgGNC">         148 :         std::vector &lt;std::pair&lt;float, std::pair&lt;int, int&gt;&gt;&gt; get_mst() { return T; }</span></span>
-<span id="L31"><span class="lineNum">      31</span>              :     private:</span>
-<span id="L32"><span class="lineNum">      32</span>              :         int V;      // number of nodes in graph</span>
-<span id="L33"><span class="lineNum">      33</span>              :         std::vector &lt;std::pair&lt;float, std::pair&lt;int, int&gt;&gt;&gt; G; // std::vector for graph</span>
-<span id="L34"><span class="lineNum">      34</span>              :         std::vector &lt;std::pair&lt;float, std::pair&lt;int, int&gt;&gt;&gt; T; // std::vector for mst</span>
-<span id="L35"><span class="lineNum">      35</span>              :         std::vector&lt;int&gt; parent;</span>
-<span id="L36"><span class="lineNum">      36</span>              :     };</span>
-<span id="L37"><span class="lineNum">      37</span>              : }</span>
-<span id="L38"><span class="lineNum">      38</span>              : #endif</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/Mst.h.gcov.overview.html b/html/bayesnet/utils/Mst.h.gcov.overview.html
deleted file mode 100644
index 606c327..0000000
--- a/html/bayesnet/utils/Mst.h.gcov.overview.html
+++ /dev/null
@@ -1,30 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/Mst.h</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="Mst.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="Mst.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="Mst.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="Mst.h.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="Mst.h.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="Mst.h.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="Mst.h.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="Mst.h.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="Mst.h.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="Mst.h.gcov.html#L25" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="Mst.h.gcov.html#top" target="source">Top</a><br><br>
-          <img src="Mst.h.gcov.png" width=80 height=37 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/utils/Mst.h.gcov.png b/html/bayesnet/utils/Mst.h.gcov.png
deleted file mode 100644
index 142bae36adf0f57b64a30122cd69f09e37cbd804..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 316
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$A!VDxAx-dEcDTx4|5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZwB;3-cR#}JF&xgpU)Eebr@`2p(|m|ysP
zKezDr0xRybv-sNzojfipndW6rc<7cAyJY<%`6rH3N`9#4bqPJ^esoHiXRG=CkD?#5
zH!u0;tHb?egEX^V^*IOA773YIOs0x8ee<ICB(G|k;jX(iUao4x@g4k%%M|Ae?UpFM
z>vBOMQ{aKip;;e;v=_OZskJisa8mT%DlY?((4s_(@^Y`+R_C~nXMQ-Fcl&WvdC;w}
zL*0shcV=9?+-}#Vp8sXejqTztug_^6Ej__kBF9l{Air#)w)%VJ$0<NxF?hQAxvX<a
GXaWFo+I~_1

diff --git a/html/bayesnet/utils/bayesnetUtils.cc.func-c.html b/html/bayesnet/utils/bayesnetUtils.cc.func-c.html
deleted file mode 100644
index 02e3070..0000000
--- a/html/bayesnet/utils/bayesnetUtils.cc.func-c.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/bayesnetUtils.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - bayesnetUtils.cc<span style="font-size: 80%;"> (<a href="bayesnetUtils.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">25</td>
-            <td class="headerCovTableEntry">25</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><a href="bayesnetUtils.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L17">bayesnet::tensorToVectorDouble(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L29">bayesnet::vectorToTensor(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, bool)</a></td>
-              
-              <td class="coverFnHi">40</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L9">bayesnet::argsort(std::vector&lt;double, std::allocator&lt;double&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">203</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L14">bayesnet::argsort(std::vector&lt;double, std::allocator&lt;double&gt; &gt;&amp;)::{lambda(int, int)#1}::operator()(int, int) const</a></td>
-              
-              <td class="coverFnHi">4041</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/bayesnetUtils.cc.func.html b/html/bayesnet/utils/bayesnetUtils.cc.func.html
deleted file mode 100644
index c679cbf..0000000
--- a/html/bayesnet/utils/bayesnetUtils.cc.func.html
+++ /dev/null
@@ -1,111 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/bayesnetUtils.cc - functions</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - bayesnetUtils.cc<span style="font-size: 80%;"> (<a href="bayesnetUtils.cc.gcov.html">source</a> / functions)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">25</td>
-            <td class="headerCovTableEntry">25</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table cellpadding=1 cellspacing=1 border=0>
-            <tr><td><br></td></tr>
-            <tr>
-              <td class="tableHead">Function Name <span  title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
-              
-              <td class="tableHead">Hit count <span  title="Click to sort table by function hit count" class="tableHeadSort"><a href="bayesnetUtils.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L9">bayesnet::argsort(std::vector&lt;double, std::allocator&lt;double&gt; &gt;&amp;)</a></td>
-              
-              <td class="coverFnHi">203</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L14">bayesnet::argsort(std::vector&lt;double, std::allocator&lt;double&gt; &gt;&amp;)::{lambda(int, int)#1}::operator()(int, int) const</a></td>
-              
-              <td class="coverFnHi">4041</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L17">bayesnet::tensorToVectorDouble(at::Tensor&amp;)</a></td>
-              
-              <td class="coverFnHi">32</td>
-              
-              
-            </tr>
-            <tr>
-              <td class="coverFn"><a href="bayesnetUtils.cc.gcov.html#L29">bayesnet::vectorToTensor(std::vector&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::allocator&lt;std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt;&amp;, bool)</a></td>
-              
-              <td class="coverFnHi">40</td>
-              
-              
-            </tr>
-          </table>
-          <br>
-          </center>
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/bayesnetUtils.cc.gcov.frameset.html b/html/bayesnet/utils/bayesnetUtils.cc.gcov.frameset.html
deleted file mode 100644
index 6364c79..0000000
--- a/html/bayesnet/utils/bayesnetUtils.cc.gcov.frameset.html
+++ /dev/null
@@ -1,19 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
-
-        <html lang="en">
-
-        <head>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/bayesnetUtils.cc</title>
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <frameset cols="120,*">
-          <frame src="bayesnetUtils.cc.gcov.overview.html" name="overview">
-          <frame src="bayesnetUtils.cc.gcov.html" name="source">
-          <noframes>
-            <center>Frames not supported by your browser!<br></center>
-          </noframes>
-        </frameset>
-
-        </html>
diff --git a/html/bayesnet/utils/bayesnetUtils.cc.gcov.html b/html/bayesnet/utils/bayesnetUtils.cc.gcov.html
deleted file mode 100644
index b393109..0000000
--- a/html/bayesnet/utils/bayesnetUtils.cc.gcov.html
+++ /dev/null
@@ -1,128 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils/bayesnetUtils.cc</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/utils</a> - bayesnetUtils.cc<span style="font-size: 80%;"> (source / <a href="bayesnetUtils.cc.func-c.html">functions</a>)</span></td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">25</td>
-            <td class="headerCovTableEntry">25</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">4</td>
-            <td class="headerCovTableEntry">4</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Lines:
-            <span class="coverLegendCov">hit</span>
-            <span class="coverLegendNoCov">not hit</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <table cellpadding=0 cellspacing=0 border=0>
-            <tr>
-              <td><br></td>
-            </tr>
-            <tr>
-              <td>
-<pre class="sourceHeading">            Line data    Source code</pre>
-<pre class="source">
-<span id="L1"><span class="lineNum">       1</span>              : // ***************************************************************</span>
-<span id="L2"><span class="lineNum">       2</span>              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
-<span id="L3"><span class="lineNum">       3</span>              : // SPDX-FileType: SOURCE</span>
-<span id="L4"><span class="lineNum">       4</span>              : // SPDX-License-Identifier: MIT</span>
-<span id="L5"><span class="lineNum">       5</span>              : // ***************************************************************</span>
-<span id="L6"><span class="lineNum">       6</span>              : </span>
-<span id="L7"><span class="lineNum">       7</span>              : </span>
-<span id="L8"><span class="lineNum">       8</span>              : #include &quot;bayesnetUtils.h&quot;</span>
-<span id="L9"><span class="lineNum">       9</span>              : namespace bayesnet {</span>
-<span id="L10"><span class="lineNum">      10</span>              :     // Return the indices in descending order</span>
-<span id="L11"><span class="lineNum">      11</span> <span class="tlaGNC tlaBgGNC">         203 :     std::vector&lt;int&gt; argsort(std::vector&lt;double&gt;&amp; nums)</span></span>
-<span id="L12"><span class="lineNum">      12</span>              :     {</span>
-<span id="L13"><span class="lineNum">      13</span> <span class="tlaGNC">         203 :         int n = nums.size();</span></span>
-<span id="L14"><span class="lineNum">      14</span> <span class="tlaGNC">         203 :         std::vector&lt;int&gt; indices(n);</span></span>
-<span id="L15"><span class="lineNum">      15</span> <span class="tlaGNC">         203 :         iota(indices.begin(), indices.end(), 0);</span></span>
-<span id="L16"><span class="lineNum">      16</span> <span class="tlaGNC">        4244 :         sort(indices.begin(), indices.end(), [&amp;nums](int i, int j) {return nums[i] &gt; nums[j];});</span></span>
-<span id="L17"><span class="lineNum">      17</span> <span class="tlaGNC">         406 :         return indices;</span></span>
-<span id="L18"><span class="lineNum">      18</span> <span class="tlaGNC">         203 :     }</span></span>
-<span id="L19"><span class="lineNum">      19</span> <span class="tlaGNC">          32 :     std::vector&lt;std::vector&lt;double&gt;&gt; tensorToVectorDouble(torch::Tensor&amp; dtensor)</span></span>
-<span id="L20"><span class="lineNum">      20</span>              :     {</span>
-<span id="L21"><span class="lineNum">      21</span>              :         // convert mxn tensor to mxn std::vector</span>
-<span id="L22"><span class="lineNum">      22</span> <span class="tlaGNC">          32 :         std::vector&lt;std::vector&lt;double&gt;&gt; result;</span></span>
-<span id="L23"><span class="lineNum">      23</span>              :         // Iterate over cols</span>
-<span id="L24"><span class="lineNum">      24</span> <span class="tlaGNC">        8072 :         for (int i = 0; i &lt; dtensor.size(0); ++i) {</span></span>
-<span id="L25"><span class="lineNum">      25</span> <span class="tlaGNC">       24120 :             auto col_tensor = dtensor.index({ i, &quot;...&quot; });</span></span>
-<span id="L26"><span class="lineNum">      26</span> <span class="tlaGNC">        8040 :             auto col = std::vector&lt;double&gt;(col_tensor.data_ptr&lt;float&gt;(), col_tensor.data_ptr&lt;float&gt;() + dtensor.size(1));</span></span>
-<span id="L27"><span class="lineNum">      27</span> <span class="tlaGNC">        8040 :             result.push_back(col);</span></span>
-<span id="L28"><span class="lineNum">      28</span> <span class="tlaGNC">        8040 :         }</span></span>
-<span id="L29"><span class="lineNum">      29</span> <span class="tlaGNC">          64 :         return result;</span></span>
-<span id="L30"><span class="lineNum">      30</span> <span class="tlaGNC">        8072 :     }</span></span>
-<span id="L31"><span class="lineNum">      31</span> <span class="tlaGNC">          40 :     torch::Tensor vectorToTensor(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; vector, bool transpose)</span></span>
-<span id="L32"><span class="lineNum">      32</span>              :     {</span>
-<span id="L33"><span class="lineNum">      33</span>              :         // convert nxm std::vector to mxn tensor if transpose</span>
-<span id="L34"><span class="lineNum">      34</span> <span class="tlaGNC">          40 :         long int m = transpose ? vector[0].size() : vector.size();</span></span>
-<span id="L35"><span class="lineNum">      35</span> <span class="tlaGNC">          40 :         long int n = transpose ? vector.size() : vector[0].size();</span></span>
-<span id="L36"><span class="lineNum">      36</span> <span class="tlaGNC">          40 :         auto tensor = torch::zeros({ m, n }, torch::kInt32);</span></span>
-<span id="L37"><span class="lineNum">      37</span> <span class="tlaGNC">         276 :         for (int i = 0; i &lt; m; ++i) {</span></span>
-<span id="L38"><span class="lineNum">      38</span> <span class="tlaGNC">       57664 :             for (int j = 0; j &lt; n; ++j) {</span></span>
-<span id="L39"><span class="lineNum">      39</span> <span class="tlaGNC">       57428 :                 tensor[i][j] = transpose ? vector[j][i] : vector[i][j];</span></span>
-<span id="L40"><span class="lineNum">      40</span>              :             }</span>
-<span id="L41"><span class="lineNum">      41</span>              :         }</span>
-<span id="L42"><span class="lineNum">      42</span> <span class="tlaGNC">          80 :         return tensor;</span></span>
-<span id="L43"><span class="lineNum">      43</span> <span class="tlaGNC">          40 :     }</span></span>
-<span id="L44"><span class="lineNum">      44</span>              : }</span>
-        </pre>
-              </td>
-            </tr>
-          </table>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/bayesnetUtils.cc.gcov.overview.html b/html/bayesnet/utils/bayesnetUtils.cc.gcov.overview.html
deleted file mode 100644
index a1add40..0000000
--- a/html/bayesnet/utils/bayesnetUtils.cc.gcov.overview.html
+++ /dev/null
@@ -1,31 +0,0 @@
-        <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-        <html lang="en">
-
-        <head>
-          <title>LCOV - BayesNet Coverage Report - bayesnet/utils/bayesnetUtils.cc</title>
-          <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-          <link rel="stylesheet" type="text/css" href="../../gcov.css">
-        </head>
-
-        <body>
-          <map name="overview">
-            <area shape="rect" coords="0,0,79,3" href="bayesnetUtils.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,4,79,7" href="bayesnetUtils.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,8,79,11" href="bayesnetUtils.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,12,79,15" href="bayesnetUtils.cc.gcov.html#L1" target="source" alt="overview">
-            <area shape="rect" coords="0,16,79,19" href="bayesnetUtils.cc.gcov.html#L5" target="source" alt="overview">
-            <area shape="rect" coords="0,20,79,23" href="bayesnetUtils.cc.gcov.html#L9" target="source" alt="overview">
-            <area shape="rect" coords="0,24,79,27" href="bayesnetUtils.cc.gcov.html#L13" target="source" alt="overview">
-            <area shape="rect" coords="0,28,79,31" href="bayesnetUtils.cc.gcov.html#L17" target="source" alt="overview">
-            <area shape="rect" coords="0,32,79,35" href="bayesnetUtils.cc.gcov.html#L21" target="source" alt="overview">
-            <area shape="rect" coords="0,36,79,39" href="bayesnetUtils.cc.gcov.html#L25" target="source" alt="overview">
-            <area shape="rect" coords="0,40,79,43" href="bayesnetUtils.cc.gcov.html#L29" target="source" alt="overview">
-          </map>
-
-          <center>
-          <a href="bayesnetUtils.cc.gcov.html#top" target="source">Top</a><br><br>
-          <img src="bayesnetUtils.cc.gcov.png" width=80 height=43 alt="Overview" border=0 usemap="#overview">
-          </center>
-        </body>
-        </html>
diff --git a/html/bayesnet/utils/bayesnetUtils.cc.gcov.png b/html/bayesnet/utils/bayesnetUtils.cc.gcov.png
deleted file mode 100644
index 297b589ccc4a0d6c4b9bc65c7f81b45e58fc7a5c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 373
zcmeAS@N?(olHy`uVBq!ia0vp^0YI$7!VDxC?klMPNr?cT5ZC|z|E~gq<?mx-U;Srb
zSOpXZQ|G)lF9otW3p^r=85sDEfH31!Z9ZuR21aI27sn8b-nAi&Vl09jS9y0ZnV<Ok
zep`zO+vfZ#>#{F(FaH}IYrH*s<+6qVvDsm_Wy%<$1oxOsy;$^zamVV9)ybQdCrc%>
zKcC}JqREhTr)kgkjZqz!4F2xfz!LJ?-MF%|BjVGXhF2fB6+*+D*EMcQDr(u3dtlGq
zO;v}j_{7}UE8iJ!Q(MOFC7ft0KdaO}OV@uQ!}+<M69kydCoL*qJku^5?l$S%DqALr
zwAd{+%yVOV&Am>=&2P}J?lo?IcJ9&NyRZMmuhYAbx;=UQ<}MZG?vuB&uL*BhZO>HQ
zb){JDUf^*%k<TU`4|uO^5s!@0-5}b`RB>&RO4YwZ=gXfRUbv&V@;~#0LuWU}wEW%&
P3?l|lS3j3^P6<r_`huII

diff --git a/html/bayesnet/utils/index-detail-sort-f.html b/html/bayesnet/utils/index-detail-sort-f.html
deleted file mode 100644
index df7670c..0000000
--- a/html/bayesnet/utils/index-detail-sort-f.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/utils</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.3&nbsp;%</td>
-            <td class="headerCovTableEntry">221</td>
-            <td class="headerCovTableEntry">215</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">30</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.h.gcov.frameset.html">Mst.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.h.gcov.frameset.html">BayesMetrics.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnetUtils.cc.gcov.frameset.html">bayesnetUtils.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.cc.gcov.frameset.html">Mst.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=94 height=10 alt="94.1%"><img src="../../snow.png" width=6 height=10 alt="94.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">94.1&nbsp;%</td>
-              <td class="coverNumDflt">68</td>
-              <td class="coverNumDflt">64</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.cc.gcov.frameset.html">BayesMetrics.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.2%"><img src="../../snow.png" width=2 height=10 alt="98.2%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.2&nbsp;%</td>
-              <td class="coverNumDflt">114</td>
-              <td class="coverNumDflt">112</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">11</td>
-              <td class="coverNumDflt">11</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/index-detail-sort-l.html b/html/bayesnet/utils/index-detail-sort-l.html
deleted file mode 100644
index aa1a79c..0000000
--- a/html/bayesnet/utils/index-detail-sort-l.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/utils</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.3&nbsp;%</td>
-            <td class="headerCovTableEntry">221</td>
-            <td class="headerCovTableEntry">215</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">30</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.cc.gcov.frameset.html">Mst.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=94 height=10 alt="94.1%"><img src="../../snow.png" width=6 height=10 alt="94.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">94.1&nbsp;%</td>
-              <td class="coverNumDflt">68</td>
-              <td class="coverNumDflt">64</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.cc.gcov.frameset.html">BayesMetrics.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.2%"><img src="../../snow.png" width=2 height=10 alt="98.2%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.2&nbsp;%</td>
-              <td class="coverNumDflt">114</td>
-              <td class="coverNumDflt">112</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">11</td>
-              <td class="coverNumDflt">11</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.h.gcov.frameset.html">Mst.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.h.gcov.frameset.html">BayesMetrics.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnetUtils.cc.gcov.frameset.html">bayesnetUtils.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/index-detail.html b/html/bayesnet/utils/index-detail.html
deleted file mode 100644
index 1afd44b..0000000
--- a/html/bayesnet/utils/index-detail.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/utils</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.3&nbsp;%</td>
-            <td class="headerCovTableEntry">221</td>
-            <td class="headerCovTableEntry">215</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">30</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.cc.gcov.frameset.html">BayesMetrics.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.2%"><img src="../../snow.png" width=2 height=10 alt="98.2%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.2&nbsp;%</td>
-              <td class="coverNumDflt">114</td>
-              <td class="coverNumDflt">112</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">11</td>
-              <td class="coverNumDflt">11</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.h.gcov.frameset.html">BayesMetrics.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.cc.gcov.frameset.html">Mst.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=94 height=10 alt="94.1%"><img src="../../snow.png" width=6 height=10 alt="94.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">94.1&nbsp;%</td>
-              <td class="coverNumDflt">68</td>
-              <td class="coverNumDflt">64</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.h.gcov.frameset.html">Mst.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnetUtils.cc.gcov.frameset.html">bayesnetUtils.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/index-sort-f.html b/html/bayesnet/utils/index-sort-f.html
deleted file mode 100644
index df7670c..0000000
--- a/html/bayesnet/utils/index-sort-f.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/utils</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.3&nbsp;%</td>
-            <td class="headerCovTableEntry">221</td>
-            <td class="headerCovTableEntry">215</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">30</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-f.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.h.gcov.frameset.html">Mst.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.h.gcov.frameset.html">BayesMetrics.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnetUtils.cc.gcov.frameset.html">bayesnetUtils.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.cc.gcov.frameset.html">Mst.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=94 height=10 alt="94.1%"><img src="../../snow.png" width=6 height=10 alt="94.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">94.1&nbsp;%</td>
-              <td class="coverNumDflt">68</td>
-              <td class="coverNumDflt">64</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.cc.gcov.frameset.html">BayesMetrics.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.2%"><img src="../../snow.png" width=2 height=10 alt="98.2%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.2&nbsp;%</td>
-              <td class="coverNumDflt">114</td>
-              <td class="coverNumDflt">112</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">11</td>
-              <td class="coverNumDflt">11</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/index-sort-l.html b/html/bayesnet/utils/index-sort-l.html
deleted file mode 100644
index aa1a79c..0000000
--- a/html/bayesnet/utils/index-sort-l.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/utils</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.3&nbsp;%</td>
-            <td class="headerCovTableEntry">221</td>
-            <td class="headerCovTableEntry">215</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">30</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail-sort-l.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.cc.gcov.frameset.html">Mst.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=94 height=10 alt="94.1%"><img src="../../snow.png" width=6 height=10 alt="94.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">94.1&nbsp;%</td>
-              <td class="coverNumDflt">68</td>
-              <td class="coverNumDflt">64</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.cc.gcov.frameset.html">BayesMetrics.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.2%"><img src="../../snow.png" width=2 height=10 alt="98.2%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.2&nbsp;%</td>
-              <td class="coverNumDflt">114</td>
-              <td class="coverNumDflt">112</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">11</td>
-              <td class="coverNumDflt">11</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.h.gcov.frameset.html">Mst.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.h.gcov.frameset.html">BayesMetrics.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnetUtils.cc.gcov.frameset.html">bayesnetUtils.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/bayesnet/utils/index.html b/html/bayesnet/utils/index.html
deleted file mode 100644
index 1afd44b..0000000
--- a/html/bayesnet/utils/index.html
+++ /dev/null
@@ -1,162 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report - bayesnet/utils</title>
-  <link rel="stylesheet" type="text/css" href="../../gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/utils</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">97.3&nbsp;%</td>
-            <td class="headerCovTableEntry">221</td>
-            <td class="headerCovTableEntry">215</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">30</td>
-            <td class="headerCovTableEntry">30</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Filename <span  title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage ( <a title="Click to show per-testcase coverage details" class="detail" href="index-detail.html">show details</a> ) <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.cc.gcov.frameset.html">BayesMetrics.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="98.2%"><img src="../../snow.png" width=2 height=10 alt="98.2%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.2&nbsp;%</td>
-              <td class="coverNumDflt">114</td>
-              <td class="coverNumDflt">112</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">11</td>
-              <td class="coverNumDflt">11</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="BayesMetrics.h.gcov.frameset.html">BayesMetrics.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverNumDflt">13</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.cc.gcov.frameset.html">Mst.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=94 height=10 alt="94.1%"><img src="../../snow.png" width=6 height=10 alt="94.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">94.1&nbsp;%</td>
-              <td class="coverNumDflt">68</td>
-              <td class="coverNumDflt">64</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">10</td>
-              <td class="coverNumDflt">10</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="Mst.h.gcov.frameset.html">Mst.h</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnetUtils.cc.gcov.frameset.html">bayesnetUtils.cc</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverNumDflt">25</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">4</td>
-              <td class="coverNumDflt">4</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/cmd_line b/html/cmd_line
deleted file mode 100644
index fc7e89b..0000000
--- a/html/cmd_line
+++ /dev/null
@@ -1 +0,0 @@
-genhtml build_debug/tests/coverage.info --demangle-cpp --output-directory html --title 'BayesNet Coverage Report' -s -k -f --legend
diff --git a/html/emerald.png b/html/emerald.png
deleted file mode 100644
index 38ad4f4068b935643d2486f323005fb294a9bd7e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 141
zcmeAS@N?(olHy`uVBq!ia0vp^j3CU&3?x-=hn)ga>?NMQuI!iC1^Jb<Pkv=K1`2T&
zctjR6FmMZjFyp1Wb$@_@Ea{HEjtmSN`?>!lvI6;R0X`wF(yt=9xVZRt1vCRixIA4P
dLn>}1Cji+@42)0J?}79&c)I$ztaD0e0sy@GAL0N2

diff --git a/html/gcov.css b/html/gcov.css
deleted file mode 100644
index f329042..0000000
--- a/html/gcov.css
+++ /dev/null
@@ -1,1073 +0,0 @@
-/* All views: initial background and text color */
-body
-{
-  color: #000000;
-  background-color: #ffffff;
-}
-
-/* All views: standard link format*/
-a:link
-{
-  color: #284fa8;
-  text-decoration: underline;
-}
-
-/* All views: standard link - visited format */
-a:visited
-{
-  color: #00cb40;
-  text-decoration: underline;
-}
-
-/* All views: standard link - activated format */
-a:active
-{
-  color: #ff0040;
-  text-decoration: underline;
-}
-
-/* All views: main title format */
-td.title
-{
-  text-align: center;
-  padding-bottom: 10px;
-  font-family: sans-serif;
-  font-size: 20pt;
-  font-style: italic;
-  font-weight: bold;
-}
-/* "Line coverage date bins" leader */
-td.subTableHeader
-{
-  text-align: center;
-  padding-bottom: 6px;
-  font-family: sans-serif;
-  font-weight: bold;
-  vertical-align: center;
-}
-
-/* All views: header item format */
-td.headerItem
-{
-  text-align: right;
-  padding-right: 6px;
-  font-family: sans-serif;
-  font-weight: bold;
-  vertical-align: top;
-  white-space: nowrap;
-}
-
-/* All views: header item value format */
-td.headerValue
-{
-  text-align: left;
-  color: #284fa8;
-  font-family: sans-serif;
-  font-weight: bold;
-  white-space: nowrap;
-}
-
-/* All views: header item coverage table heading */
-td.headerCovTableHead
-{
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-}
-
-/* All views: header item coverage table entry */
-td.headerCovTableEntry
-{
-  text-align: right;
-  color: #284fa8;
-  font-family: sans-serif;
-  font-weight: bold;
-  white-space: nowrap;
-  padding-left: 12px;
-  padding-right: 4px;
-  background-color: #dae7fe;
-}
-
-/* All views: header item coverage table entry for high coverage rate */
-td.headerCovTableEntryHi
-{
-  text-align: right;
-  color: #000000;
-  font-family: sans-serif;
-  font-weight: bold;
-  white-space: nowrap;
-  padding-left: 12px;
-  padding-right: 4px;
-  background-color: #a7fc9d;
-}
-
-/* All views: header item coverage table entry for medium coverage rate */
-td.headerCovTableEntryMed
-{
-  text-align: right;
-  color: #000000;
-  font-family: sans-serif;
-  font-weight: bold;
-  white-space: nowrap;
-  padding-left: 12px;
-  padding-right: 4px;
-  background-color: #ffea20;
-}
-
-/* All views: header item coverage table entry for ow coverage rate */
-td.headerCovTableEntryLo
-{
-  text-align: right;
-  color: #000000;
-  font-family: sans-serif;
-  font-weight: bold;
-  white-space: nowrap;
-  padding-left: 12px;
-  padding-right: 4px;
-  background-color: #ff0000;
-}
-
-/* All views: header legend value for legend entry */
-td.headerValueLeg
-{
-  text-align: left;
-  color: #000000;
-  font-family: sans-serif;
-  font-size: 80%;
-  white-space: nowrap;
-  padding-top: 4px;
-}
-
-/* All views: color of horizontal ruler */
-td.ruler
-{
-  background-color: #6688d4;
-}
-
-/* All views: version string format */
-td.versionInfo
-{
-  text-align: center;
-  padding-top: 2px;
-  font-family: sans-serif;
-  font-style: italic;
-}
-
-/* Directory view/File view (all)/Test case descriptions:
-   table headline format */
-td.tableHead
-{
-  text-align: center;
-  color: #ffffff;
-  background-color: #6688d4;
-  font-family: sans-serif;
-  font-size: 120%;
-  font-weight: bold;
-  white-space: nowrap;
-  padding-left: 4px;
-  padding-right: 4px;
-}
-
-span.tableHeadSort
-{
-  padding-right: 4px;
-}
-
-/* Directory view/File view (all): filename entry format */
-td.coverFile
-{
-  text-align: left;
-  padding-left: 10px;
-  padding-right: 20px;
-  color: #284fa8;
-  background-color: #dae7fe;
-  font-family: monospace;
-}
-
-/* Directory view/File view (all): filename entry format */
-td.overallOwner
-{
-  text-align: center;
-  font-weight: bold;
-  font-family: sans-serif;
-  background-color: #dae7fe;
-  padding-right: 10px;
-  padding-left: 10px;
-}
-
-/* Directory view/File view (all): filename entry format */
-td.ownerName
-{
-  text-align: right;
-  font-style: italic;
-  font-family: sans-serif;
-  background-color: #E5DBDB;
-  padding-right: 10px;
-  padding-left: 20px;
-}
-
-/* Directory view/File view (all): bar-graph entry format*/
-td.coverBar
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #dae7fe;
-}
-
-/* Directory view/File view (all): bar-graph entry format*/
-td.owner_coverBar
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #E5DBDB;
-}
-
-/* Directory view/File view (all): bar-graph outline color */
-td.coverBarOutline
-{
-  background-color: #000000;
-}
-
-/* Directory view/File view (all): percentage entry for files with
-   high coverage rate */
-td.coverPerHi
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #a7fc9d;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-/* 'owner' entry:  slightly lighter color than 'coverPerHi' */
-td.owner_coverPerHi
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #82E0AA;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-/* Directory view/File view (all): line count entry */
-td.coverNumDflt
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #dae7fe;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-/* td background color and font for the 'owner' section of the table */
-td.ownerTla
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #E5DBDB;
-  white-space: nowrap;
-  font-family: sans-serif;
-  font-style: italic;
-}
-
-/* Directory view/File view (all): line count entry for files with
-   high coverage rate */
-td.coverNumHi
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #a7fc9d;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-td.owner_coverNumHi
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #82E0AA;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-/* Directory view/File view (all): percentage entry for files with
-   medium coverage rate */
-td.coverPerMed
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #ffea20;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-td.owner_coverPerMed
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #F9E79F;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-/* Directory view/File view (all): line count entry for files with
-   medium coverage rate */
-td.coverNumMed
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #ffea20;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-td.owner_coverNumMed
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #F9E79F;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-/* Directory view/File view (all): percentage entry for files with
-   low coverage rate */
-td.coverPerLo
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #ff0000;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-td.owner_coverPerLo
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #EC7063;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-/* Directory view/File view (all): line count entry for files with
-   low coverage rate */
-td.coverNumLo
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #ff0000;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-td.owner_coverNumLo
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #EC7063;
-  white-space: nowrap;
-  font-family: sans-serif;
-}
-
-/* File view (all): "show/hide details" link format */
-a.detail:link
-{
-  color: #b8d0ff;
-  font-size:80%;
-}
-
-/* File view (all): "show/hide details" link - visited format */
-a.detail:visited
-{
-  color: #b8d0ff;
-  font-size:80%;
-}
-
-/* File view (all): "show/hide details" link - activated format */
-a.detail:active
-{
-  color: #ffffff;
-  font-size:80%;
-}
-
-/* File view (detail): test name entry */
-td.testName
-{
-  text-align: right;
-  padding-right: 10px;
-  background-color: #dae7fe;
-  font-family: sans-serif;
-}
-
-/* File view (detail): test percentage entry */
-td.testPer
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #dae7fe;
-  font-family: sans-serif;
-}
-
-/* File view (detail): test lines count entry */
-td.testNum
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #dae7fe;
-  font-family: sans-serif;
-}
-
-/* Test case descriptions: test name format*/
-dt
-{
-  font-family: sans-serif;
-  font-weight: bold;
-}
-
-/* Test case descriptions: description table body */
-td.testDescription
-{
-  padding-top: 10px;
-  padding-left: 30px;
-  padding-bottom: 10px;
-  padding-right: 30px;
-  background-color: #dae7fe;
-}
-
-/* Source code view: function entry */
-td.coverFn
-{
-  text-align: left;
-  padding-left: 10px;
-  padding-right: 20px;
-  color: #284fa8;
-  background-color: #dae7fe;
-  font-family: monospace;
-}
-
-/* Source code view: function entry zero count*/
-td.coverFnLo
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #ff0000;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-/* Source code view: function entry nonzero count*/
-td.coverFnHi
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #dae7fe;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-td.coverFnAlias
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 20px;
-  color: #284fa8;
-  /* make this a slightly different color than the leader - otherwise,
-     otherwise the alias is hard to distinguish in the table */
-  background-color: #E5DBDB; /* very light pale grey/blue */
-  font-family: monospace;
-}
-
-/* Source code view: function entry zero count*/
-td.coverFnAliasLo
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #EC7063; /* lighter red */
-  font-family: sans-serif;
-}
-
-/* Source code view: function entry nonzero count*/
-td.coverFnAliasHi
-{
-  text-align: right;
-  padding-left: 10px;
-  padding-right: 10px;
-  background-color: #dae7fe;
-  font-weight: bold;
-  font-family: sans-serif;
-}
-
-/* Source code view: source code format */
-pre.source
-{
-  font-family: monospace;
-  white-space: pre;
-  margin-top: 2px;
-}
-
-/* Source code view: line number format */
-span.lineNum
-{
-  background-color: #efe383;
-}
-
-/* Source code view: format for Cov legend */
-span.coverLegendCov
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  padding-bottom: 2px;
-  background-color: #cad7fe;
-}
-
-/* Source code view: format for NoCov legend */
-span.coverLegendNoCov
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  padding-bottom: 2px;
-  background-color: #ff6230;
-}
-
-/* Source code view: format for the source code heading line */
-pre.sourceHeading
-{
-  white-space: pre;
-  font-family: monospace;
-  font-weight: bold;
-  margin: 0px;
-}
-
-/* All views: header legend value for low rate */
-td.headerValueLegL
-{
-  font-family: sans-serif;
-  text-align: center;
-  white-space: nowrap;
-  padding-left: 4px;
-  padding-right: 2px;
-  background-color: #ff0000;
-  font-size: 80%;
-}
-
-/* All views: header legend value for med rate */
-td.headerValueLegM
-{
-  font-family: sans-serif;
-  text-align: center;
-  white-space: nowrap;
-  padding-left: 2px;
-  padding-right: 2px;
-  background-color: #ffea20;
-  font-size: 80%;
-}
-
-/* All views: header legend value for hi rate */
-td.headerValueLegH
-{
-  font-family: sans-serif;
-  text-align: center;
-  white-space: nowrap;
-  padding-left: 2px;
-  padding-right: 4px;
-  background-color: #a7fc9d;
-  font-size: 80%;
-}
-
-/* All views except source code view: legend format for low coverage */
-span.coverLegendCovLo
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  padding-top: 2px;
-  background-color: #ff0000;
-}
-
-/* All views except source code view: legend format for med coverage */
-span.coverLegendCovMed
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  padding-top: 2px;
-  background-color: #ffea20;
-}
-
-/* All views except source code view: legend format for hi coverage */
-span.coverLegendCovHi
-{
-  padding-left: 10px;
-  padding-right: 10px;
-  padding-top: 2px;
-  background-color: #a7fc9d;
-}
-
-a.branchTla:link
-{
-  color: #000000;
-}
-
-a.branchTla:visited
-{
-  color: #000000;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Uncovered New Code (+ => 0):
-Newly added code is not tested" */
-td.tlaUNC
-{
-  text-align: right;
-  background-color: #FF6230;
-}
-td.tlaBgUNC {
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Uncovered New Code (+ => 0):
-Newly added code is not tested" */
-span.tlaUNC
-{
-  text-align: left;
-  background-color: #FF6230;
-}
-span.tlaBgUNC {
-  background-color: #FF6230;
-}
-a.tlaBgUNC {
-  background-color: #FF6230;
-  color: #000000;
-}
-
-td.headerCovTableHeadUNC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Lost Baseline Coverage (1 => 0):
-Unchanged code is no longer tested" */
-td.tlaLBC
-{
-  text-align: right;
-  background-color: #FF6230;
-}
-td.tlaBgLBC {
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Lost Baseline Coverage (1 => 0):
-Unchanged code is no longer tested" */
-span.tlaLBC
-{
-  text-align: left;
-  background-color: #FF6230;
-}
-span.tlaBgLBC {
-  background-color: #FF6230;
-}
-a.tlaBgLBC {
-  background-color: #FF6230;
-  color: #000000;
-}
-
-td.headerCovTableHeadLBC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Uncovered Included Code (# => 0):
-Previously unused code is untested" */
-td.tlaUIC
-{
-  text-align: right;
-  background-color: #FF6230;
-}
-td.tlaBgUIC {
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Uncovered Included Code (# => 0):
-Previously unused code is untested" */
-span.tlaUIC
-{
-  text-align: left;
-  background-color: #FF6230;
-}
-span.tlaBgUIC {
-  background-color: #FF6230;
-}
-a.tlaBgUIC {
-  background-color: #FF6230;
-  color: #000000;
-}
-
-td.headerCovTableHeadUIC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Uncovered Baseline Code (0 => 0):
-Unchanged code was untested before, is untested now" */
-td.tlaUBC
-{
-  text-align: right;
-  background-color: #FF6230;
-}
-td.tlaBgUBC {
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Uncovered Baseline Code (0 => 0):
-Unchanged code was untested before, is untested now" */
-span.tlaUBC
-{
-  text-align: left;
-  background-color: #FF6230;
-}
-span.tlaBgUBC {
-  background-color: #FF6230;
-}
-a.tlaBgUBC {
-  background-color: #FF6230;
-  color: #000000;
-}
-
-td.headerCovTableHeadUBC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FF6230;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Gained Baseline Coverage (0 => 1):
-Unchanged code is tested now" */
-td.tlaGBC
-{
-  text-align: right;
-  background-color: #CAD7FE;
-}
-td.tlaBgGBC {
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Gained Baseline Coverage (0 => 1):
-Unchanged code is tested now" */
-span.tlaGBC
-{
-  text-align: left;
-  background-color: #CAD7FE;
-}
-span.tlaBgGBC {
-  background-color: #CAD7FE;
-}
-a.tlaBgGBC {
-  background-color: #CAD7FE;
-  color: #000000;
-}
-
-td.headerCovTableHeadGBC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Gained Included Coverage (# => 1):
-Previously unused code is tested now" */
-td.tlaGIC
-{
-  text-align: right;
-  background-color: #CAD7FE;
-}
-td.tlaBgGIC {
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Gained Included Coverage (# => 1):
-Previously unused code is tested now" */
-span.tlaGIC
-{
-  text-align: left;
-  background-color: #CAD7FE;
-}
-span.tlaBgGIC {
-  background-color: #CAD7FE;
-}
-a.tlaBgGIC {
-  background-color: #CAD7FE;
-  color: #000000;
-}
-
-td.headerCovTableHeadGIC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Gained New Coverage (+ => 1):
-Newly added code is tested" */
-td.tlaGNC
-{
-  text-align: right;
-  background-color: #CAD7FE;
-}
-td.tlaBgGNC {
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Gained New Coverage (+ => 1):
-Newly added code is tested" */
-span.tlaGNC
-{
-  text-align: left;
-  background-color: #CAD7FE;
-}
-span.tlaBgGNC {
-  background-color: #CAD7FE;
-}
-a.tlaBgGNC {
-  background-color: #CAD7FE;
-  color: #000000;
-}
-
-td.headerCovTableHeadGNC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Covered Baseline Code (1 => 1):
-Unchanged code was tested before and is still tested" */
-td.tlaCBC
-{
-  text-align: right;
-  background-color: #CAD7FE;
-}
-td.tlaBgCBC {
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Covered Baseline Code (1 => 1):
-Unchanged code was tested before and is still tested" */
-span.tlaCBC
-{
-  text-align: left;
-  background-color: #CAD7FE;
-}
-span.tlaBgCBC {
-  background-color: #CAD7FE;
-}
-a.tlaBgCBC {
-  background-color: #CAD7FE;
-  color: #000000;
-}
-
-td.headerCovTableHeadCBC {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #CAD7FE;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Excluded Uncovered Baseline (0 => #):
-Previously untested code is unused now" */
-td.tlaEUB
-{
-  text-align: right;
-  background-color: #FFFFFF;
-}
-td.tlaBgEUB {
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Excluded Uncovered Baseline (0 => #):
-Previously untested code is unused now" */
-span.tlaEUB
-{
-  text-align: left;
-  background-color: #FFFFFF;
-}
-span.tlaBgEUB {
-  background-color: #FFFFFF;
-}
-a.tlaBgEUB {
-  background-color: #FFFFFF;
-  color: #000000;
-}
-
-td.headerCovTableHeadEUB {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Excluded Covered Baseline (1 => #):
-Previously tested code is unused now" */
-td.tlaECB
-{
-  text-align: right;
-  background-color: #FFFFFF;
-}
-td.tlaBgECB {
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Excluded Covered Baseline (1 => #):
-Previously tested code is unused now" */
-span.tlaECB
-{
-  text-align: left;
-  background-color: #FFFFFF;
-}
-span.tlaBgECB {
-  background-color: #FFFFFF;
-}
-a.tlaBgECB {
-  background-color: #FFFFFF;
-  color: #000000;
-}
-
-td.headerCovTableHeadECB {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Deleted Uncovered Baseline (0 => -):
-Previously untested code has been deleted" */
-td.tlaDUB
-{
-  text-align: right;
-  background-color: #FFFFFF;
-}
-td.tlaBgDUB {
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Deleted Uncovered Baseline (0 => -):
-Previously untested code has been deleted" */
-span.tlaDUB
-{
-  text-align: left;
-  background-color: #FFFFFF;
-}
-span.tlaBgDUB {
-  background-color: #FFFFFF;
-}
-a.tlaBgDUB {
-  background-color: #FFFFFF;
-  color: #000000;
-}
-
-td.headerCovTableHeadDUB {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Deleted Covered Baseline (1 => -):
-Previously tested code has been deleted" */
-td.tlaDCB
-{
-  text-align: right;
-  background-color: #FFFFFF;
-}
-td.tlaBgDCB {
-  background-color: #FFFFFF;
-}
-
-/* Source code view/table entry backround: format for lines classified as "Deleted Covered Baseline (1 => -):
-Previously tested code has been deleted" */
-span.tlaDCB
-{
-  text-align: left;
-  background-color: #FFFFFF;
-}
-span.tlaBgDCB {
-  background-color: #FFFFFF;
-}
-a.tlaBgDCB {
-  background-color: #FFFFFF;
-  color: #000000;
-}
-
-td.headerCovTableHeadDCB {
-  text-align: center;
-  padding-right: 6px;
-  padding-left: 6px;
-  padding-bottom: 0px;
-  font-family: sans-serif;
-  white-space: nowrap;
-  background-color: #FFFFFF;
-}
-
-/* Source code view: format for date/owner bin that is not hit */
-span.missBins
-{
-  background-color: #ff0000 /* red */
-}
diff --git a/html/glass.png b/html/glass.png
deleted file mode 100644
index e1abc00680a3093c49fdb775ae6bdb6764c95af2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 167
zcmeAS@N?(olHy`uVBq!ia0vp^j3CU&3?x-=hn)gaEa{HEjtmSN`?>!lvI6;R0X`wF
z|Ns97GD8ntt^-nxB|(0{3=Yq3q=7g|-tI089jvk*Kn`btM`SSr1Gf+eGhVt|_XjA*
zUgGKN%6^Gmn4d%Ph(nkFP>9RZ#WAE}PI3Z}&BVayv3^M*kj3EX>gTe~DWM4f=_Dpv

diff --git a/html/index-sort-f.html b/html/index-sort-f.html
deleted file mode 100644
index 5c93be8..0000000
--- a/html/index-sort-f.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report</title>
-  <link rel="stylesheet" type="text/css" href="gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue">top level</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1610</td>
-            <td class="headerCovTableEntry">1594</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">237</td>
-            <td class="headerCovTableEntry">237</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Directory <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><img src="glass.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/index.html">bayesnet</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/feature_selection/index.html">bayesnet/feature_selection</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="98.7%"><img src="snow.png" width=1 height=10 alt="98.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.7&nbsp;%</td>
-              <td class="coverNumDflt">152</td>
-              <td class="coverNumDflt">150</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">19</td>
-              <td class="coverNumDflt">19</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/utils/index.html">bayesnet/utils</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=97 height=10 alt="97.3%"><img src="snow.png" width=3 height=10 alt="97.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.3&nbsp;%</td>
-              <td class="coverNumDflt">221</td>
-              <td class="coverNumDflt">215</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">30</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/ensembles/index.html">bayesnet/ensembles</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="99.1%"><img src="snow.png" width=1 height=10 alt="99.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">99.1&nbsp;%</td>
-              <td class="coverNumDflt">468</td>
-              <td class="coverNumDflt">464</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">54</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/network/index.html">bayesnet/network</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">61</td>
-              <td class="coverNumDflt">61</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/classifiers/index.html">bayesnet/classifiers</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="99.0%"><img src="snow.png" width=1 height=10 alt="99.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">99.0&nbsp;%</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverNumDflt">380</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">72</td>
-              <td class="coverNumDflt">72</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/index-sort-l.html b/html/index-sort-l.html
deleted file mode 100644
index 6ae4f1b..0000000
--- a/html/index-sort-l.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report</title>
-  <link rel="stylesheet" type="text/css" href="gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue">top level</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1610</td>
-            <td class="headerCovTableEntry">1594</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">237</td>
-            <td class="headerCovTableEntry">237</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Directory <span  title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
-        <td class="tableHead" colspan=4>Line Coverage <span  title="Click to sort table by line coverage" class="tableHeadSort"><img src="glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/utils/index.html">bayesnet/utils</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=97 height=10 alt="97.3%"><img src="snow.png" width=3 height=10 alt="97.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.3&nbsp;%</td>
-              <td class="coverNumDflt">221</td>
-              <td class="coverNumDflt">215</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">30</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/feature_selection/index.html">bayesnet/feature_selection</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="98.7%"><img src="snow.png" width=1 height=10 alt="98.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.7&nbsp;%</td>
-              <td class="coverNumDflt">152</td>
-              <td class="coverNumDflt">150</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">19</td>
-              <td class="coverNumDflt">19</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/classifiers/index.html">bayesnet/classifiers</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="99.0%"><img src="snow.png" width=1 height=10 alt="99.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">99.0&nbsp;%</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverNumDflt">380</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">72</td>
-              <td class="coverNumDflt">72</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/ensembles/index.html">bayesnet/ensembles</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="99.1%"><img src="snow.png" width=1 height=10 alt="99.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">99.1&nbsp;%</td>
-              <td class="coverNumDflt">468</td>
-              <td class="coverNumDflt">464</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">54</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/index.html">bayesnet</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/network/index.html">bayesnet/network</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">61</td>
-              <td class="coverNumDflt">61</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/index.html b/html/index.html
deleted file mode 100644
index cd28fc6..0000000
--- a/html/index.html
+++ /dev/null
@@ -1,174 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-
-<html lang="en">
-
-<head>
-  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-  <title>LCOV - BayesNet Coverage Report</title>
-  <link rel="stylesheet" type="text/css" href="gcov.css">
-</head>
-
-<body>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="title">LCOV - code coverage report</td></tr>
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-
-            <tr>
-              <td width="100%">
-                <table cellpadding=1 border=0 width="100%">
-          <tr>
-            <td width="10%" class="headerItem">Current view:</td>
-            <td width="10%" class="headerValue">top level</td>
-            <td width="5%"></td>
-            <td width="5%"></td>
-            <td width="5%" class="headerCovTableHead">Coverage</td>
-            <td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
-            <td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test:</td>
-            <td class="headerValue">BayesNet Coverage Report</td>
-            <td></td>
-            <td class="headerItem">Lines:</td>
-            <td class="headerCovTableEntryHi">99.0&nbsp;%</td>
-            <td class="headerCovTableEntry">1610</td>
-            <td class="headerCovTableEntry">1594</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Test Date:</td>
-            <td class="headerValue">2024-05-06 17:54:04</td>
-            <td></td>
-            <td class="headerItem">Functions:</td>
-            <td class="headerCovTableEntryHi">100.0&nbsp;%</td>
-            <td class="headerCovTableEntry">237</td>
-            <td class="headerCovTableEntry">237</td>
-          </tr>
-          <tr>
-            <td class="headerItem">Legend:</td>
-            <td class="headerValueLeg">            Rating:
-            <span class="coverLegendCovLo" title="Coverage rates below 75 % are classified as low">low: &lt; 75 %</span>
-            <span class="coverLegendCovMed" title="Coverage rates between 75 % and 90 % are classified as medium">medium: &gt;= 75 %</span>
-            <span class="coverLegendCovHi" title="Coverage rates of 90 % and more are classified as high">high: &gt;= 90 %</span>
-</td>
-            <td></td>
-          </tr>
-                  <tr><td><img src="glass.png" width=3 height=3 alt=""></td></tr>
-                </table>
-              </td>
-            </tr>
-
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-          </table>
-
-          <center>
-          <table width="80%" cellpadding=1 cellspacing=1 border=0>
-
-            <tr>
-              <td width="40%"><br></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            <td width="8%"></td>
-            </tr>
-
-            <tr>
-              <td class="tableHead" rowspan=2>Directory <span  title="Click to sort table by file name" class="tableHeadSort"><img src="glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
-        <td class="tableHead" colspan=4>Line Coverage <span  title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
-        <td class="tableHead" colspan=3>Function Coverage <span  title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
-            </tr>
-            <tr>
-                    <td class="tableHead" colspan=2> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-                    <td class="tableHead"> Rate</td>
-                    <td class="tableHead"> Total</td>
-                    <td class="tableHead"> Hit</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/index.html">bayesnet</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">1</td>
-              <td class="coverNumDflt">1</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/classifiers/index.html">bayesnet/classifiers</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="99.0%"><img src="snow.png" width=1 height=10 alt="99.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">99.0&nbsp;%</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverNumDflt">380</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">72</td>
-              <td class="coverNumDflt">72</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/ensembles/index.html">bayesnet/ensembles</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="99.1%"><img src="snow.png" width=1 height=10 alt="99.1%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">99.1&nbsp;%</td>
-              <td class="coverNumDflt">468</td>
-              <td class="coverNumDflt">464</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">54</td>
-              <td class="coverNumDflt">54</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/feature_selection/index.html">bayesnet/feature_selection</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=99 height=10 alt="98.7%"><img src="snow.png" width=1 height=10 alt="98.7%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">98.7&nbsp;%</td>
-              <td class="coverNumDflt">152</td>
-              <td class="coverNumDflt">150</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">19</td>
-              <td class="coverNumDflt">19</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/network/index.html">bayesnet/network</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverNumDflt">384</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">61</td>
-              <td class="coverNumDflt">61</td>
-            </tr>
-            <tr>
-              <td class="coverFile"><a href="bayesnet/utils/index.html">bayesnet/utils</a></td>
-              <td class="coverBar" align="center">
-                                <table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="emerald.png" width=97 height=10 alt="97.3%"><img src="snow.png" width=3 height=10 alt="97.3%"></td></tr></table>
-              </td>
-              <td class="coverPerHi">97.3&nbsp;%</td>
-              <td class="coverNumDflt">221</td>
-              <td class="coverNumDflt">215</td>
-              <td class="coverPerHi">100.0&nbsp;%</td>
-              <td class="coverNumDflt">30</td>
-              <td class="coverNumDflt">30</td>
-            </tr>
-          </table>
-          </center>
-          <br>
-
-          <table width="100%" border=0 cellspacing=0 cellpadding=0>
-            <tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
-            <tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov">LCOV version 2.0-1</a></td></tr>
-          </table>
-          <br>
-
-</body>
-</html>
diff --git a/html/ruby.png b/html/ruby.png
deleted file mode 100644
index 991b6d4ec9e78be165e3ef757eed1aada287364d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 141
zcmeAS@N?(olHy`uVBq!ia0vp^j3CU&3?x-=hn)ga>?NMQuI!iC1^FceV#7`HfI^%F
z9+AZi4BSE>%y{W;-5;PJOS+@4BLl<6e(pbstUx|nfKQ0)e^Y%R^MdiLxj>4`)5S5Q
b;#P73kj=!v_*DHKNFRfztDnm{r-UW|iOwIS

diff --git a/html/snow.png b/html/snow.png
deleted file mode 100644
index 2cdae107fceec6e7f02ac7acb4a34a82a540caa5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 141
zcmeAS@N?(olHy`uVBq!ia0vp^j3CU&3?x-=hn)ga>?NMQuI!iC1^MM<OZU7F1qyK%
zctjR6FmMZjFyp1Wb$@_@Ea{HEjtmSN`?>!lvI6;R0X`wF|Ns97GD8ntt^-nBo-U3d
c6}OTTfNUlP#;5A{K>8RwUHx3vIVCg!071?oo&W#<

diff --git a/html/updown.png b/html/updown.png
deleted file mode 100644
index aa56a238b3e6c435265250f9266cd1b8caba0f20..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 117
zcmeAS@N?(olHy`uVBq!ia0vp^AT}Qd8;}%R+`Ae`*?77*hG?8mPH<rUzmOqzj$o`{
zmx{8oa+_1mG6n6lBg;7=4V4vL4GtVJNND(#r(##(!Bvp7XhP!+7e<DcG5TL0&E@|I
PG>5^{)z4*}Q$iB}huR`+


From 53710378de099d6dfd099edc77319d7a5013b091 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Thu, 23 May 2024 17:34:48 +0000
Subject: [PATCH 19/21] Fix manual generation and deploy

---
 CMakeLists.txt   |  2 +-
 Makefile         |  2 +-
 README.md        |  2 +-
 docs/Doxyfile.in | 13 ++++++-------
 4 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 5a2d731..eed7062 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -92,7 +92,7 @@ install(FILES ${CMAKE_BINARY_DIR}/configured_files/include/bayesnet/config.h DES
 
 # Documentation
 # -------------
-find_package(Doxygen REQUIRED dot)
+find_package(Doxygen)
 set(DOC_DIR ${CMAKE_CURRENT_SOURCE_DIR}/docs)
 set(doxyfile_in ${DOC_DIR}/Doxyfile.in)
 set(doxyfile ${DOC_DIR}/Doxyfile)
diff --git a/Makefile b/Makefile
index cb02f3a..62a9fd4 100644
--- a/Makefile
+++ b/Makefile
@@ -140,7 +140,7 @@ viewcoverage: ## View the html coverage report
 		exit 1; \
 	fi
 	@$(genhtml) $(f_debug)/tests/coverage.info --demangle-cpp --output-directory $(docsrcdir)/coverage --title "BayesNet Coverage Report" -s -k -f --legend >/dev/null 2>&1;
-	@xdg-open html/index.html || open html/index.html 2>/dev/null
+	@xdg-open $(docsrcdir)/coverage/index.html || open $(docsrcdir)/coverage/index.html 2>/dev/null
 	@echo ">>> Done";
 
 updatebadge: ## Update the coverage badge in README.md
diff --git a/README.md b/README.md
index 1b47306..e444046 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@
 [![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=rmontanana_BayesNet&metric=security_rating)](https://sonarcloud.io/summary/new_code?id=rmontanana_BayesNet)
 [![Reliability Rating](https://sonarcloud.io/api/project_badges/measure?project=rmontanana_BayesNet&metric=reliability_rating)](https://sonarcloud.io/summary/new_code?id=rmontanana_BayesNet)
 ![Gitea Last Commit](https://img.shields.io/gitea/last-commit/rmontanana/bayesnet?gitea_url=https://gitea.rmontanana.es:3000&logo=gitea)
-[![Coverage Badge](https://img.shields.io/badge/Coverage-99,0%25-green)](html/index.html)
+[![Coverage Badge](https://img.shields.io/badge/Coverage-97,3%25-green)](html/index.html)
 
 Bayesian Network Classifiers using libtorch from scratch
 
diff --git a/docs/Doxyfile.in b/docs/Doxyfile.in
index afb2526..e030387 100644
--- a/docs/Doxyfile.in
+++ b/docs/Doxyfile.in
@@ -61,7 +61,7 @@ PROJECT_BRIEF          = "@CMAKE_PROJECT_DESCRIPTION@"
 # pixels and the maximum width should not exceed 200 pixels. Doxygen will copy
 # the logo to the output directory.
 
-PROJECT_LOGO           = /Users/rmontanana/Code/BayesNet/docs/logo_small.png
+PROJECT_LOGO           = logo_small.png
 
 # With the PROJECT_ICON tag one can specify an icon that is included in the tabs
 # when the HTML document is shown. Doxygen will copy the logo to the output
@@ -74,7 +74,7 @@ PROJECT_ICON           =
 # entered, it will be relative to the location where doxygen was started. If
 # left blank the current directory will be used.
 
-OUTPUT_DIRECTORY       = /Users/rmontanana/Code/BayesNet/docs
+OUTPUT_DIRECTORY       = 
 
 # If the CREATE_SUBDIRS tag is set to YES then doxygen will create up to 4096
 # sub-directories (in 2 levels) under the output directory of each output format
@@ -949,8 +949,8 @@ WARN_LOGFILE           =
 # spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
 # Note: If this tag is empty the current directory is searched.
 
-INPUT                  = /Users/rmontanana/Code/BayesNet/bayesnet
-INPUT                  += /Users/rmontanana/Code/BayesNet/README.md
+INPUT                  = ../bayesnet
+INPUT                  += ../README.md
 
 # This tag can be used to specify the character encoding of the source files
 # that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
@@ -1425,8 +1425,7 @@ HTML_EXTRA_STYLESHEET  =
 # files will be copied as-is; there are no commands or markers available.
 # This tag requires that the tag GENERATE_HTML is set to YES.
 
-HTML_EXTRA_FILES       = /Users/rmontanana/Code/BayesNet/diagrams
-HTML_EXTRA_FILES       += /Users/rmontanana/Code/BayesNet/logo.png
+HTML_EXTRA_FILES       = ../logo.png
 
 # The HTML_COLORSTYLE tag can be used to specify if the generated HTML output
 # should be rendered with a dark or light theme.
@@ -2264,7 +2263,7 @@ GENERATE_MAN           = YES
 # The default directory is: man.
 # This tag requires that the tag GENERATE_MAN is set to YES.
 
-MAN_OUTPUT             = /Users/rmontanana/Code/BayesNet/docs
+MAN_OUTPUT             = ./
 
 # The MAN_EXTENSION tag determines the extension that is added to the generated
 # man pages. In case the manual section does not start with a number, the number

From 7bb8e4df01166e81413464b3a04a2bcd54c17f83 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Thu, 23 May 2024 18:59:08 +0000
Subject: [PATCH 20/21] Fix back to manual link

---
 Makefile | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/Makefile b/Makefile
index 62a9fd4..af2411b 100644
--- a/Makefile
+++ b/Makefile
@@ -16,6 +16,7 @@ n_procs = -j 16
 docsrcdir = docs/manual
 mansrcdir = docs/man3
 mandestdir = /usr/local/share/man
+sed_command = 's/e">LCOV -/e"><a href="https:\/\/rmontanana.github.io\/bayesnet">Back to manual<\/a> LCOV -/g'
 
 define ClearTests
 	@for t in $(test_targets); do \
@@ -157,6 +158,12 @@ doc: ## Generate documentation
 	@echo ">>> Generating documentation..."
 	@cmake --build $(f_release) -t doxygen
 	@cp -rp diagrams $(docsrcdir)
+	@
+	@if [ "$(shell uname)" = "Darwin" ]; then \
+		sed -i "" $(sed_command) $(docsrcdir)/coverage/index.html ; \
+	else \
+		sed -i $(sed_command) $(docsrcdir)/coverage/index.html ; \
+	fi
 	@echo ">>> Done";
 
 docdir = ""

From 015b1b0c0f9709384a78853b80a3bb11a1583fe6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Tue, 28 May 2024 11:43:39 +0200
Subject: [PATCH 21/21] Fix diagram size in manual

---
 Makefile | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/Makefile b/Makefile
index af2411b..3515580 100644
--- a/Makefile
+++ b/Makefile
@@ -16,7 +16,8 @@ n_procs = -j 16
 docsrcdir = docs/manual
 mansrcdir = docs/man3
 mandestdir = /usr/local/share/man
-sed_command = 's/e">LCOV -/e"><a href="https:\/\/rmontanana.github.io\/bayesnet">Back to manual<\/a> LCOV -/g'
+sed_command_link = 's/e">LCOV -/e"><a href="https:\/\/rmontanana.github.io\/bayesnet">Back to manual<\/a> LCOV -/g'
+sed_command_diagram = 's/Diagram"/Diagram" width="100%" height="100%" /g'
 
 define ClearTests
 	@for t in $(test_targets); do \
@@ -160,9 +161,11 @@ doc: ## Generate documentation
 	@cp -rp diagrams $(docsrcdir)
 	@
 	@if [ "$(shell uname)" = "Darwin" ]; then \
-		sed -i "" $(sed_command) $(docsrcdir)/coverage/index.html ; \
+		sed -i "" $(sed_command_link) $(docsrcdir)/coverage/index.html ; \
+		sed -i "" $(sed_command_diagram) $(docsrcdir)/index.html ; \
 	else \
-		sed -i $(sed_command) $(docsrcdir)/coverage/index.html ; \
+		sed -i $(sed_command_link) $(docsrcdir)/coverage/index.html ; \
+		sed -i $(sed_command_diagram) $(docsrcdir)/index.html ; \
 	fi
 	@echo ">>> Done";